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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
034d1938e7ddcefb41da69e92c59a2f89e44e0ce
| 157
|
py
|
Python
|
pycrostates/utils/__init__.py
|
vferat/pycrostates
|
ac324fa5c61c0024d3720e3956cb93258cb86f9c
|
[
"BSD-3-Clause"
] | 11
|
2021-11-27T04:02:55.000Z
|
2022-03-14T13:55:32.000Z
|
pycrostates/utils/__init__.py
|
vferat/pycrostates
|
ac324fa5c61c0024d3720e3956cb93258cb86f9c
|
[
"BSD-3-Clause"
] | 17
|
2021-01-05T15:20:19.000Z
|
2022-03-24T11:02:59.000Z
|
pycrostates/utils/__init__.py
|
vferat/pycrostates
|
ac324fa5c61c0024d3720e3956cb93258cb86f9c
|
[
"BSD-3-Clause"
] | 3
|
2021-12-13T15:19:13.000Z
|
2022-03-30T13:57:40.000Z
|
from .utils import _corr_vectors, _check_ch_names, _check_reject_by_annotation
__all__ = ('_corr_vectors', '_check_ch_names', '_check_reject_by_annotation')
| 52.333333
| 78
| 0.840764
| 22
| 157
| 5
| 0.545455
| 0.2
| 0.290909
| 0.327273
| 0.836364
| 0.836364
| 0.836364
| 0.836364
| 0.836364
| 0
| 0
| 0
| 0.070064
| 157
| 3
| 79
| 52.333333
| 0.753425
| 0
| 0
| 0
| 0
| 0
| 0.348101
| 0.170886
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 10
|
cef39c9043c78d2047932126f80ec17f573057ff
| 9,761
|
py
|
Python
|
connectorx-python/connectorx/tests/test_sqlite.py
|
wseaton/connector-x
|
1fba739112ac422e20e18bf544f71e1b09fd3f17
|
[
"MIT"
] | null | null | null |
connectorx-python/connectorx/tests/test_sqlite.py
|
wseaton/connector-x
|
1fba739112ac422e20e18bf544f71e1b09fd3f17
|
[
"MIT"
] | null | null | null |
connectorx-python/connectorx/tests/test_sqlite.py
|
wseaton/connector-x
|
1fba739112ac422e20e18bf544f71e1b09fd3f17
|
[
"MIT"
] | null | null | null |
import os
import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_frame_equal
from .. import read_sql
@pytest.fixture(scope="module") # type: ignore
def sqlite_db() -> str:
conn = os.environ["SQLITE_URL"]
return conn
def test_read_sql_without_partition(sqlite_db: str) -> None:
query = "SELECT test_int, test_nullint, test_str, test_float, test_bool, test_date, test_time, test_datetime FROM test_table"
df = read_sql(sqlite_db, query)
expected = pd.DataFrame(
index=range(6),
data={
"test_int": pd.Series([1, 2, 0, 3, 4, 1314], dtype="Int64"),
"test_nullint": pd.Series([3, None, 5, 7, 9, 2], dtype="Int64"),
"test_str": pd.Series(
["str1", "str2", "こんにちは", "b", "Ha好ち😁ðy̆", None], dtype="object"
),
"test_float": pd.Series([None, 2.2, 3.1, 3, 7.8, -10], dtype="float64"),
"test_bool": pd.Series(
[True, False, None, False, None, True], dtype="boolean"
),
"test_date": pd.Series(
[
np.datetime64("1996-03-13"),
np.datetime64("1996-01-30"),
np.datetime64("1996-02-28"),
np.datetime64("2020-01-12"),
np.datetime64("1996-04-20"),
None
], dtype="datetime64[ns]"
),
"test_time": pd.Series(
["08:12:40", "10:03:00", "23:00:10", "23:00:10", "18:30:00", "18:30:00"], dtype="object"
),
"test_datetime": pd.Series(
[
np.datetime64("2007-01-01T10:00:19"),
np.datetime64("2005-01-01T22:03:00"),
None,
np.datetime64("1987-01-01T11:00:00"),
None,
np.datetime64("2007-10-01T10:32:00")
], dtype="datetime64[ns]"
),
},
)
assert_frame_equal(df, expected, check_names=True)
def test_read_sql_with_partition(sqlite_db: str) -> None:
query = "SELECT test_int, test_nullint, test_str, test_float, test_bool, test_date, test_time, test_datetime FROM test_table"
df = read_sql(
sqlite_db,
query,
partition_on="test_int",
partition_num=3,
)
expected = pd.DataFrame(
index=range(6),
data={
"test_int": pd.Series([1, 2, 0, 3, 4, 1314], dtype="Int64"),
"test_nullint": pd.Series([3, None, 5, 7, 9, 2], dtype="Int64"),
"test_str": pd.Series(
["str1", "str2", "こんにちは", "b", "Ha好ち😁ðy̆", None], dtype="object"
),
"test_float": pd.Series([None, 2.2, 3.1, 3, 7.8, -10], dtype="float64"),
"test_bool": pd.Series(
[True, False, None, False, None, True], dtype="boolean"
),
"test_date": pd.Series(
[
np.datetime64("1996-03-13"),
np.datetime64("1996-01-30"),
np.datetime64("1996-02-28"),
np.datetime64("2020-01-12"),
np.datetime64("1996-04-20"),
None
], dtype="datetime64[ns]"
),
"test_time": pd.Series(
["08:12:40", "10:03:00", "23:00:10", "23:00:10", "18:30:00", "18:30:00"], dtype="object"
),
"test_datetime": pd.Series(
[
np.datetime64("2007-01-01T10:00:19"),
np.datetime64("2005-01-01T22:03:00"),
None,
np.datetime64("1987-01-01T11:00:00"),
None,
np.datetime64("2007-10-01T10:32:00")
], dtype="datetime64[ns]"
),
},
)
assert_frame_equal(df, expected, check_names=True)
def test_manual_partition(sqlite_db: str) -> None:
queries = [
"SELECT test_int, test_nullint, test_str, test_float, test_bool, test_date, test_time, test_datetime FROM test_table WHERE test_int < 2",
"SELECT test_int, test_nullint, test_str, test_float, test_bool, test_date, test_time, test_datetime FROM test_table WHERE test_int >= 2",
]
df = read_sql(sqlite_db, query=queries)
expected = pd.DataFrame(
index=range(6),
data={
"test_int": pd.Series([1, 0, 2, 3, 4, 1314], dtype="Int64"),
"test_nullint": pd.Series([3, 5, None, 7, 9, 2], dtype="Int64"),
"test_str": pd.Series(
["str1", "こんにちは", "str2", "b", "Ha好ち😁ðy̆", None], dtype="object"
),
"test_float": pd.Series([None, 3.1, 2.2, 3, 7.8, -10], dtype="float64"),
"test_bool": pd.Series(
[True, None, False, False, None, True], dtype="boolean"
),
"test_date": pd.Series(
[
np.datetime64("1996-03-13"),
np.datetime64("1996-02-28"),
np.datetime64("1996-01-30"),
np.datetime64("2020-01-12"),
np.datetime64("1996-04-20"),
None
], dtype="datetime64[ns]"
),
"test_time": pd.Series(
["08:12:40", "23:00:10", "10:03:00", "23:00:10", "18:30:00", "18:30:00"], dtype="object"
),
"test_datetime": pd.Series(
[
np.datetime64("2007-01-01T10:00:19"),
None,
np.datetime64("2005-01-01T22:03:00"),
np.datetime64("1987-01-01T11:00:00"),
None,
np.datetime64("2007-10-01T10:32:00")
], dtype="datetime64[ns]"
),
},
)
assert_frame_equal(df, expected, check_names=True)
def test_read_sql_without_partition_and_spa(sqlite_db: str) -> None:
query = """
SELECT test_bool, AVG(test_float) AS avg, SUM(test_int) AS sum
FROM test_table
WHERE test_nullint IS NOT NULL
GROUP BY test_bool
ORDER BY sum
"""
df = read_sql(sqlite_db, query)
expected = pd.DataFrame(
index=range(3),
data={
"test_bool": pd.Series([False, None, True], dtype="boolean"),
"avg": pd.Series([3.00, 5.45, -10.00], dtype="float64"),
"sum": pd.Series([3, 4, 1315], dtype="Int64"),
},
)
assert_frame_equal(df, expected, check_names=True)
def test_read_sql_with_partition_and_spa(sqlite_db: str) -> None:
query = """
SELECT test_bool, AVG(test_float) AS avg, SUM(test_int) AS sum
FROM test_table
WHERE test_nullint IS NOT NULL
GROUP BY test_bool
ORDER BY sum
"""
df = read_sql(sqlite_db, query, partition_on="sum", partition_num=2)
expected = pd.DataFrame(
index=range(3),
data={
"test_bool": pd.Series([False, None, True], dtype="boolean"),
"avg": pd.Series([3.00, 5.45, -10.00], dtype="float64"),
"sum": pd.Series([3, 4, 1315], dtype="Int64"),
},
)
df = df.sort_values("sum").reset_index(drop=True)
assert_frame_equal(df, expected, check_names=True)
def test_empty_result(sqlite_db: str) -> None:
query = "SELECT * FROM test_table where test_int < -100"
df = read_sql(sqlite_db, query)
expected = pd.DataFrame(
data={
"test_int": pd.Series([], dtype="object"),
"test_nullint": pd.Series([], dtype="object"),
"test_str": pd.Series([], dtype="object"),
"test_float": pd.Series([], dtype="object"),
"test_bool": pd.Series([], dtype="object"),
"test_date": pd.Series([], dtype="object"),
"test_time": pd.Series([], dtype="object"),
"test_datetime": pd.Series([], dtype="object"),
}
)
assert_frame_equal(df, expected, check_names=True)
def test_empty_result_on_partition(sqlite_db: str) -> None:
query = "SELECT * FROM test_table where test_int < -100"
df = read_sql(sqlite_db, query, partition_on="test_int", partition_num=3)
expected = pd.DataFrame(
data={
"test_int": pd.Series([], dtype="object"),
"test_nullint": pd.Series([], dtype="object"),
"test_str": pd.Series([], dtype="object"),
"test_float": pd.Series([], dtype="object"),
"test_bool": pd.Series([], dtype="object"),
"test_date": pd.Series([], dtype="object"),
"test_time": pd.Series([], dtype="object"),
"test_datetime": pd.Series([], dtype="object"),
}
)
assert_frame_equal(df, expected, check_names=True)
def test_empty_result_on_some_partition(sqlite_db: str) -> None:
query = "SELECT * FROM test_table where test_int < 1"
df = read_sql(sqlite_db, query, partition_on="test_int", partition_num=3)
expected = pd.DataFrame(
data={
"test_int": pd.Series([0], dtype="Int64"),
"test_nullint": pd.Series([5], dtype="Int64"),
"test_str": pd.Series(["こんにちは"], dtype="object"),
"test_float": pd.Series([3.1], dtype="float"),
"test_bool": pd.Series([None], dtype="boolean"),
"test_date": pd.Series(
[
np.datetime64("1996-02-28"),
], dtype="datetime64[ns]"
),
"test_time": pd.Series(
["23:00:10"], dtype="object"
),
"test_datetime": pd.Series(
[
None,
], dtype="datetime64[ns]"
),
}
)
assert_frame_equal(df, expected, check_names=True)
| 37.980545
| 146
| 0.513574
| 1,192
| 9,761
| 4.038591
| 0.10906
| 0.089738
| 0.06855
| 0.063149
| 0.927088
| 0.921271
| 0.886165
| 0.868716
| 0.866431
| 0.857291
| 0
| 0.09758
| 0.327016
| 9,761
| 256
| 147
| 38.128906
| 0.634343
| 0.001229
| 0
| 0.711864
| 0
| 0.008475
| 0.258233
| 0
| 0
| 0
| 0
| 0
| 0.038136
| 1
| 0.038136
| false
| 0
| 0.025424
| 0
| 0.067797
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
303666f4f0c85323e97af3dccdd3cc8d90383ae6
| 173
|
py
|
Python
|
cogs/math/matrix/errors.py
|
FellowHashbrown/omega-psi-py
|
4ea33cdbef15ffaa537f2c9e382de508c58093fc
|
[
"MIT"
] | 4
|
2018-12-23T08:49:40.000Z
|
2021-03-25T16:51:43.000Z
|
cogs/math/matrix/errors.py
|
FellowHashbrown/omega-psi-py
|
4ea33cdbef15ffaa537f2c9e382de508c58093fc
|
[
"MIT"
] | 23
|
2020-11-03T17:40:40.000Z
|
2022-02-01T17:12:59.000Z
|
cogs/math/matrix/errors.py
|
FellowHashbrown/omega-psi-py
|
4ea33cdbef15ffaa537f2c9e382de508c58093fc
|
[
"MIT"
] | 1
|
2019-07-11T23:40:13.000Z
|
2019-07-11T23:40:13.000Z
|
class OrientationMismatchError(Exception): pass
class SizeMismatchError(Exception): pass
class NonsquareMatrixError(Exception): pass
class NotAnIntegerError(Exception): pass
| 43.25
| 47
| 0.867052
| 16
| 173
| 9.375
| 0.4375
| 0.346667
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063584
| 173
| 4
| 48
| 43.25
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 7
|
305449ea762602d11f13e910b6a6745a57cb6880
| 211
|
py
|
Python
|
01_Language/01_Functions/python/exec.py
|
cliff363825/TwentyFour
|
09df59bd5d275e66463e343647f46027397d1233
|
[
"MIT"
] | 3
|
2020-06-28T07:42:51.000Z
|
2021-01-15T10:32:11.000Z
|
01_Language/01_Functions/python/exec.py
|
cliff363825/TwentyFour
|
09df59bd5d275e66463e343647f46027397d1233
|
[
"MIT"
] | 9
|
2021-03-10T22:45:40.000Z
|
2022-02-27T06:53:20.000Z
|
01_Language/01_Functions/python/exec.py
|
cliff363825/TwentyFour
|
09df59bd5d275e66463e343647f46027397d1233
|
[
"MIT"
] | 1
|
2021-01-15T10:51:24.000Z
|
2021-01-15T10:51:24.000Z
|
# coding: utf-8
import os
import subprocess
# print(os.system("whoami"))
print(subprocess.call("whoami", shell=True))
print(subprocess.run("whoami", shell=True))
print(subprocess.run("howareyou", shell=True))
| 21.1
| 46
| 0.739336
| 29
| 211
| 5.37931
| 0.482759
| 0.288462
| 0.192308
| 0.25641
| 0.423077
| 0.423077
| 0
| 0
| 0
| 0
| 0
| 0.005155
| 0.080569
| 211
| 9
| 47
| 23.444444
| 0.798969
| 0.189573
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0.6
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 8
|
3062688185ef062a8faed2bc42ef8454ea1c5588
| 48
|
py
|
Python
|
app/models/neural_one_layer_robust/__init__.py
|
carbonpredict/carbonpredict
|
702c761287ce4e088ae1817a88958a438a3cc006
|
[
"MIT"
] | null | null | null |
app/models/neural_one_layer_robust/__init__.py
|
carbonpredict/carbonpredict
|
702c761287ce4e088ae1817a88958a438a3cc006
|
[
"MIT"
] | 27
|
2020-06-11T11:00:15.000Z
|
2020-09-01T20:08:54.000Z
|
app/models/neural_one_layer_robust/__init__.py
|
carbonpredict/carbonpredict
|
702c761287ce4e088ae1817a88958a438a3cc006
|
[
"MIT"
] | 1
|
2020-07-23T09:08:06.000Z
|
2020-07-23T09:08:06.000Z
|
from .impl import NeuralNetworkOneLayerFFRobust
| 24
| 47
| 0.895833
| 4
| 48
| 10.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 48
| 1
| 48
| 48
| 0.977273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
23367d7e10c63b295105bf04be54e80324a5adbd
| 24,615
|
py
|
Python
|
sdk/automation/azure-mgmt-automation/azure/mgmt/automation/operations/watcher_operations.py
|
iscai-msft/azure-sdk-for-python
|
83715b95c41e519d5be7f1180195e2fba136fc0f
|
[
"MIT"
] | 8
|
2021-01-13T23:44:08.000Z
|
2021-03-17T10:13:36.000Z
|
sdk/automation/azure-mgmt-automation/azure/mgmt/automation/operations/watcher_operations.py
|
iscai-msft/azure-sdk-for-python
|
83715b95c41e519d5be7f1180195e2fba136fc0f
|
[
"MIT"
] | 226
|
2019-07-24T07:57:21.000Z
|
2019-10-15T01:07:24.000Z
|
sdk/automation/azure-mgmt-automation/azure/mgmt/automation/operations/watcher_operations.py
|
iscai-msft/azure-sdk-for-python
|
83715b95c41e519d5be7f1180195e2fba136fc0f
|
[
"MIT"
] | 2
|
2020-05-21T22:51:22.000Z
|
2020-05-26T20:53:01.000Z
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
import uuid
from msrest.pipeline import ClientRawResponse
from .. import models
class WatcherOperations(object):
"""WatcherOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
:ivar api_version: Client Api Version. Constant value: "2015-10-31".
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.api_version = "2015-10-31"
self.config = config
def create_or_update(
self, resource_group_name, automation_account_name, watcher_name, parameters, custom_headers=None, raw=False, **operation_config):
"""Create the watcher identified by watcher name.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param watcher_name: The watcher name.
:type watcher_name: str
:param parameters: The create or update parameters for watcher.
:type parameters: ~azure.mgmt.automation.models.Watcher
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: Watcher or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.automation.models.Watcher or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
# Construct URL
url = self.create_or_update.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'watcherName': self._serialize.url("watcher_name", watcher_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'Watcher')
# Construct and send request
request = self._client.put(url, query_parameters, header_parameters, body_content)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200, 201]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('Watcher', response)
if response.status_code == 201:
deserialized = self._deserialize('Watcher', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers/{watcherName}'}
def get(
self, resource_group_name, automation_account_name, watcher_name, custom_headers=None, raw=False, **operation_config):
"""Retrieve the watcher identified by watcher name.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param watcher_name: The watcher name.
:type watcher_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: Watcher or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.automation.models.Watcher or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
# Construct URL
url = self.get.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'watcherName': self._serialize.url("watcher_name", watcher_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('Watcher', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers/{watcherName}'}
def update(
self, resource_group_name, automation_account_name, watcher_name, execution_frequency_in_seconds=None, name=None, custom_headers=None, raw=False, **operation_config):
"""Update the watcher identified by watcher name.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param watcher_name: The watcher name.
:type watcher_name: str
:param execution_frequency_in_seconds: Gets or sets the frequency at
which the watcher is invoked.
:type execution_frequency_in_seconds: long
:param name: Gets or sets the name of the resource.
:type name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: Watcher or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.automation.models.Watcher or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
parameters = models.WatcherUpdateParameters(execution_frequency_in_seconds=execution_frequency_in_seconds, name=name)
# Construct URL
url = self.update.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'watcherName': self._serialize.url("watcher_name", watcher_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'WatcherUpdateParameters')
# Construct and send request
request = self._client.patch(url, query_parameters, header_parameters, body_content)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('Watcher', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers/{watcherName}'}
def delete(
self, resource_group_name, automation_account_name, watcher_name, custom_headers=None, raw=False, **operation_config):
"""Delete the watcher by name.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param watcher_name: The watcher name.
:type watcher_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
# Construct URL
url = self.delete.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'watcherName': self._serialize.url("watcher_name", watcher_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers/{watcherName}'}
def start(
self, resource_group_name, automation_account_name, watcher_name, custom_headers=None, raw=False, **operation_config):
"""Resume the watcher identified by watcher name.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param watcher_name: The watcher name.
:type watcher_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
# Construct URL
url = self.start.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'watcherName': self._serialize.url("watcher_name", watcher_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
start.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers/{watcherName}/start'}
def stop(
self, resource_group_name, automation_account_name, watcher_name, custom_headers=None, raw=False, **operation_config):
"""Resume the watcher identified by watcher name.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param watcher_name: The watcher name.
:type watcher_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
# Construct URL
url = self.stop.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'watcherName': self._serialize.url("watcher_name", watcher_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
stop.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers/{watcherName}/stop'}
def list_by_automation_account(
self, resource_group_name, automation_account_name, filter=None, custom_headers=None, raw=False, **operation_config):
"""Retrieve a list of watchers.
:param resource_group_name: Name of an Azure Resource group.
:type resource_group_name: str
:param automation_account_name: The name of the automation account.
:type automation_account_name: str
:param filter: The filter to apply on the operation.
:type filter: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of Watcher
:rtype:
~azure.mgmt.automation.models.WatcherPaged[~azure.mgmt.automation.models.Watcher]
:raises:
:class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = self.list_by_automation_account.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$'),
'automationAccountName': self._serialize.url("automation_account_name", automation_account_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if filter is not None:
query_parameters['$filter'] = self._serialize.query("filter", filter, 'str')
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
return response
# Deserialize response
deserialized = models.WatcherPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.WatcherPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
list_by_automation_account.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/automationAccounts/{automationAccountName}/watchers'}
| 50.544148
| 206
| 0.682714
| 2,639
| 24,615
| 6.149299
| 0.073134
| 0.036049
| 0.036665
| 0.031057
| 0.896414
| 0.889635
| 0.884274
| 0.86702
| 0.855682
| 0.855682
| 0
| 0.004301
| 0.215966
| 24,615
| 486
| 207
| 50.648148
| 0.836572
| 0.286167
| 0
| 0.742489
| 0
| 0.025751
| 0.197888
| 0.121464
| 0
| 0
| 0
| 0
| 0
| 1
| 0.038627
| false
| 0
| 0.012876
| 0
| 0.111588
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
003c9d59f9eadc6fe060f3e9fb13d11ce38e72e9
| 25,386
|
py
|
Python
|
inaccel/tf_quant_finance/black_scholes/vanilla_prices.py
|
inaccel/tf-quant-finance
|
5085b9dcd8880c5fc508ad8432deb2699f66b240
|
[
"Apache-2.0"
] | 3
|
2020-11-10T09:52:09.000Z
|
2021-07-30T16:21:40.000Z
|
inaccel/tf_quant_finance/black_scholes/vanilla_prices.py
|
inaccel/tf-quant-finance
|
5085b9dcd8880c5fc508ad8432deb2699f66b240
|
[
"Apache-2.0"
] | null | null | null |
inaccel/tf_quant_finance/black_scholes/vanilla_prices.py
|
inaccel/tf-quant-finance
|
5085b9dcd8880c5fc508ad8432deb2699f66b240
|
[
"Apache-2.0"
] | null | null | null |
# Lint as: python3
# Copyright 2019 Google LLC
# 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.
"""Black Scholes prices of a batch of European options."""
import numpy as np
import tensorflow.compat.v2 as tf
import inaccel.coral as inaccel
from tf_quant_finance.black_scholes import option_price as option_price_ref
from tf_quant_finance.black_scholes import binary_price as binary_price_ref
def ndinaccel(shape, dtype):
with inaccel.allocator:
return np.ndarray(shape, dtype = dtype)
def asinaccel(obj, dtype, ndmin = 0):
with inaccel.allocator:
return np.array(obj, dtype=dtype, ndmin=ndmin, copy = not inaccel.allocator.handles(obj))
def option_price(*,
volatilities,
strikes,
expiries,
spots=None,
forwards=None,
discount_rates=None,
continuous_dividends=None,
cost_of_carries=None,
discount_factors=None,
is_call_options=None,
is_normal_volatility=False,
dtype=None,
name=None):
"""Computes the Black Scholes price for a batch of call or put options.
#### Example
```python
# Price a batch of 5 vanilla call options.
volatilities = np.array([0.0001, 102.0, 2.0, 0.1, 0.4])
forwards = np.array([1.0, 2.0, 3.0, 4.0, 5.0])
# Strikes will automatically be broadcasted to shape [5].
strikes = np.array([3.0])
# Expiries will be broadcast to shape [5], i.e. each option has strike=3
# and expiry = 1.
expiries = 1.0
computed_prices = tff.black_scholes.option_price(
volatilities=volatilities,
strikes=strikes,
expiries=expiries,
forwards=forwards)
# Expected print output of computed prices:
# [ 0. 2. 2.04806848 1.00020297 2.07303131]
```
#### References:
[1] Hull, John C., Options, Futures and Other Derivatives. Pearson, 2018.
[2] Wikipedia contributors. Black-Scholes model. Available at:
https://en.wikipedia.org/w/index.php?title=Black%E2%80%93Scholes_model
Args:
volatilities: Real `Tensor` of any shape and dtype. The volatilities to
expiry of the options to price.
strikes: A real `Tensor` of the same dtype and compatible shape as
`volatilities`. The strikes of the options to be priced.
expiries: A real `Tensor` of same dtype and compatible shape as
`volatilities`. The expiry of each option. The units should be such that
`expiry * volatility**2` is dimensionless.
spots: A real `Tensor` of any shape that broadcasts to the shape of the
`volatilities`. The current spot price of the underlying. Either this
argument or the `forwards` (but not both) must be supplied.
forwards: A real `Tensor` of any shape that broadcasts to the shape of
`volatilities`. The forwards to maturity. Either this argument or the
`spots` must be supplied but both must not be supplied.
discount_rates: An optional real `Tensor` of same dtype as the
`volatilities` and of the shape that broadcasts with `volatilities`.
If not `None`, discount factors are calculated as e^(-rT),
where r are the discount rates, or risk free rates. At most one of
discount_rates and discount_factors can be supplied.
Default value: `None`, equivalent to r = 0 and discount factors = 1 when
discount_factors also not given.
continuous_dividends: An optional real `Tensor` of same dtype as the
`volatilities` and of the shape that broadcasts with `volatilities`.
If not `None`, `cost_of_carries` is calculated as r - q,
where r are the `discount_rates` and q is `continuous_dividends`. Either
this or `cost_of_carries` can be given.
Default value: `None`, equivalent to q = 0.
cost_of_carries: An optional real `Tensor` of same dtype as the
`volatilities` and of the shape that broadcasts with `volatilities`.
Cost of storing a physical commodity, the cost of interest paid when
long, or the opportunity cost, or the cost of paying dividends when short.
If not `None`, and `spots` is supplied, used to calculate forwards from
`spots`: F = e^(bT) * S, where F is the forwards price, b is the cost of
carries, T is expiries and S is the spot price. If `None`, value assumed
to be equal to the `discount_rate` - `continuous_dividends`
Default value: `None`, equivalent to b = r.
discount_factors: An optional real `Tensor` of same dtype as the
`volatilities`. If not `None`, these are the discount factors to expiry
(i.e. e^(-rT)). Mutually exclusive with discount_rate and cost_of_carry.
If neither is given, no discounting is applied (i.e. the undiscounted
option price is returned). If `spots` is supplied and `discount_factors`
is not `None` then this is also used to compute the forwards to expiry.
At most one of discount_rates and discount_factors can be supplied.
Default value: `None`, which maps to -log(discount_factors) / expiries
is_call_options: A boolean `Tensor` of a shape compatible with
`volatilities`. Indicates whether the option is a call (if True) or a put
(if False). If not supplied, call options are assumed.
is_normal_volatility: An optional Python boolean specifying whether the
`volatilities` correspond to lognormal Black volatility (if False) or
normal Black volatility (if True).
Default value: False, which corresponds to lognormal volatility.
dtype: Optional `tf.DType`. If supplied, the dtype to be used for conversion
of any supplied non-`Tensor` arguments to `Tensor`.
Default value: `None` which maps to the default dtype inferred by
TensorFlow.
name: str. The name for the ops created by this function.
Default value: `None` which is mapped to the default name `option_price`.
Returns:
option_prices: A `Tensor` of the same shape as `forwards`. The Black
Scholes price of the options.
Raises:
ValueError: If both `forwards` and `spots` are supplied or if neither is
supplied.
ValueError: If both `discount_rates` and `discount_factors` is supplied.
ValueError: If both `continuous_dividends` and `cost_of_carries` is
supplied.
"""
if (spots is None) == (forwards is None):
raise ValueError('Either spots or forwards must be supplied but not both.')
if (discount_rates is not None) and (discount_factors is not None):
raise ValueError('At most one of discount_rates and discount_factors may '
'be supplied')
if (continuous_dividends is not None) and (cost_of_carries is not None):
raise ValueError('At most one of continuous_dividends and cost_of_carries '
'may be supplied')
if is_normal_volatility:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if (dtype is not None) and (np.dtype(dtype) != np.float32):
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
size = np.int32(1)
volatilities = asinaccel(volatilities, np.float32, 1)
size = np.maximum(size, volatilities.size, dtype = np.int32)
strikes = asinaccel(strikes, np.float32, 1)
size = np.maximum(size, strikes.size, dtype = np.int32)
expiries = asinaccel(expiries, np.float32, 1)
size = np.maximum(size, expiries.size, dtype = np.int32)
if forwards is not None:
forwards = asinaccel(forwards, np.float32, 1)
size = np.maximum(size, forwards.size, dtype = np.int32)
else:
spots = asinaccel(spots, np.float32, 1)
size = np.maximum(size, spots.size, dtype = np.int32)
if discount_factors is not None:
discount_factors = asinaccel(discount_factors, np.float32, 1)
size = np.maximum(size, discount_factors.size, dtype = np.int32)
elif discount_rates is not None:
discount_rates = asinaccel(discount_rates, np.float32, 1)
size = np.maximum(size, discount_rates.size, dtype = np.int32)
if cost_of_carries is not None:
cost_of_carries = asinaccel(cost_of_carries, np.float32, 1)
size = np.maximum(size, cost_of_carries.size, dtype = np.int32)
elif continuous_dividends is not None:
continuous_dividends = asinaccel(continuous_dividends, np.float32, 1)
size = np.maximum(size, continuous_dividends.size, dtype = np.int32)
if is_call_options is not None:
is_call_options = asinaccel(is_call_options, np.bool, 1)
size = np.maximum(size, is_call_options.size, dtype = np.int32)
if volatilities.size == 1:
tmp = volatilities[0]
volatilities = ndinaccel(size, dtype = np.float32)
volatilities.fill(tmp)
elif volatilities.size != size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if strikes.size == 1:
tmp = strikes[0]
strikes = ndinaccel(size, dtype = np.float32)
strikes.fill(tmp)
elif strikes.size != size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if expiries.size == 1:
tmp = expiries[0]
expiries = ndinaccel(size, dtype = np.float32)
expiries.fill(tmp)
elif expiries.size != size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if forwards is not None:
if forwards.size == 1:
tmp = forwards[0]
forwards = ndinaccel(size, dtype = np.float32)
forwards.fill(tmp)
elif not forwards.size == size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
else:
if spots.size == 1:
tmp = spots[0]
spots = ndinaccel(size, dtype = np.float32)
spots.fill(tmp)
elif not spots.size == size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if cost_of_carries is None:
if discount_rates is None:
if discount_factors is not None:
discount_rates = -np.log(discount_factors) / expiries
else:
discount_rates = np.ndarray(size, dtype = np.float32)
discount_rates.fill(0.0)
if continuous_dividends is None:
continuous_dividends = np.ndarray(size, dtype = np.float32)
continuous_dividends.fill(0.0)
cost_of_carries = asinaccel(discount_rates - continuous_dividends, dtype = np.float32)
else:
if cost_of_carries.size == 1:
tmp = cost_of_carries[0]
cost_of_carries = ndinaccel(size, dtype = np.float32)
cost_of_carries.fill(tmp)
elif not cost_of_carries.size == size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if discount_factors is None:
if discount_rates is not None:
discount_factors = asinaccel(np.exp(discount_rates * expiries), dtype = np.float32)
else:
discount_factors = ndinaccel(size, dtype = np.float32)
discount_factors.fill(1.0)
else:
if discount_factors.size == 1:
tmp = discount_factors[0]
discount_factors = ndinaccel(size, dtype = np.float32)
discount_factors.fill(tmp)
elif not discount_factors.size == size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
if is_call_options is None:
is_call_options = ndinaccel(size, dtype = np.bool)
is_call_options.fill(True)
else:
if is_call_options.size == 1:
tmp = is_call_options[0]
is_call_options = ndinaccel(size, dtype = np.bool)
is_call_options.fill(tmp)
elif is_call_options.size != size:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
option_price = ndinaccel(size, dtype = np.float32)
try:
request = inaccel.request('com.inaccel.quantitativeFinance.blackScholes.option-price')
if (forwards is not None):
request.arg(forwards)
request.arg(np.int32(False))
else:
request.arg(spots)
request.arg(np.int32(True))
request.arg(cost_of_carries)
request.arg(strikes)
request.arg(expiries)
request.arg(discount_factors)
request.arg(volatilities)
request.arg(is_call_options)
request.arg(size)
request.arg(option_price)
inaccel.submit(request).result()
return tf.convert_to_tensor(option_price, name = (name or 'option_price'))
except:
return option_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_rates = discount_rates, continuous_dividends = continuous_dividends, cost_of_carries = cost_of_carries, discount_factors = discount_factors, is_call_options = is_call_options, is_normal_volatility = is_normal_volatility, dtype = dtype, name = name)
# TODO(b/154806390): Binary price signature should be the same as that of the
# vanilla price.
def binary_price(*,
volatilities,
strikes,
expiries,
spots=None,
forwards=None,
discount_factors=None,
is_call_options=None,
dtype=None,
name=None):
"""Computes the Black Scholes price for a batch of binary call or put options.
The binary call (resp. put) option priced here is that which pays off a unit
of cash if the underlying asset has a value greater (resp. smaller) than the
strike price at expiry. Hence the binary option price is the discounted
probability that the asset will end up higher (resp. lower) than the
strike price at expiry.
#### Example
```python
# Price a batch of 5 binary call options.
volatilities = np.array([0.0001, 102.0, 2.0, 0.1, 0.4])
forwards = np.array([1.0, 2.0, 3.0, 4.0, 5.0])
# Strikes will automatically be broadcasted to shape [5].
strikes = np.array([3.0])
# Expiries will be broadcast to shape [5], i.e. each option has strike=3
# and expiry = 1.
expiries = 1.0
computed_prices = tff.black_scholes.binary_price(
volatilities=volatilities,
strikes=strikes,
expiries=expiries,
forwards=forwards)
# Expected print output of prices:
# [0. 0. 0.15865525 0.99764937 0.85927418]
```
#### References:
[1] Hull, John C., Options, Futures and Other Derivatives. Pearson, 2018.
[2] Wikipedia contributors. Binary option. Available at:
https://en.wikipedia.org/w/index.php?title=Binary_option
Args:
volatilities: Real `Tensor` of any shape and dtype. The volatilities to
expiry of the options to price.
strikes: A real `Tensor` of the same dtype and compatible shape as
`volatilities`. The strikes of the options to be priced.
expiries: A real `Tensor` of same dtype and compatible shape as
`volatilities`. The expiry of each option. The units should be such that
`expiry * volatility**2` is dimensionless.
spots: A real `Tensor` of any shape that broadcasts to the shape of the
`volatilities`. The current spot price of the underlying. Either this
argument or the `forwards` (but not both) must be supplied.
forwards: A real `Tensor` of any shape that broadcasts to the shape of
`volatilities`. The forwards to maturity. Either this argument or the
`spots` must be supplied but both must not be supplied.
discount_factors: An optional real `Tensor` of same dtype as the
`volatilities`. If not None, these are the discount factors to expiry
(i.e. e^(-rT)). If None, no discounting is applied (i.e. the undiscounted
option price is returned). If `spots` is supplied and `discount_factors`
is not None then this is also used to compute the forwards to expiry.
Default value: None, equivalent to discount factors = 1.
is_call_options: A boolean `Tensor` of a shape compatible with
`volatilities`. Indicates whether the option is a call (if True) or a put
(if False). If not supplied, call options are assumed.
dtype: Optional `tf.DType`. If supplied, the dtype to be used for conversion
of any supplied non-`Tensor` arguments to `Tensor`.
Default value: None which maps to the default dtype inferred by TensorFlow
(float32).
name: str. The name for the ops created by this function.
Default value: None which is mapped to the default name `binary_price`.
Returns:
binary_prices: A `Tensor` of the same shape as `forwards`. The Black
Scholes price of the binary options.
Raises:
ValueError: If both `forwards` and `spots` are supplied or if neither is
supplied.
"""
if (spots is None) == (forwards is None):
raise ValueError('Either spots or forwards must be supplied but not both.')
if (dtype is not None) and (np.dtype(dtype) != np.float32):
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
size = np.int32(1)
volatilities = asinaccel(volatilities, np.float32, 1)
size = np.maximum(size, volatilities.size, dtype = np.int32)
strikes = asinaccel(strikes, np.float32, 1)
size = np.maximum(size, strikes.size, dtype = np.int32)
expiries = asinaccel(expiries, np.float32, 1)
size = np.maximum(size, expiries.size, dtype = np.int32)
if forwards is not None:
forwards = asinaccel(forwards, np.float32, 1)
size = np.maximum(size, forwards.size, dtype = np.int32)
else:
spots = asinaccel(spots, np.float32, 1)
size = np.maximum(size, spots.size, dtype = np.int32)
if discount_factors is not None:
discount_factors = asinaccel(discount_factors, np.float32, 1)
size = np.maximum(size, discount_factors.size, dtype = np.int32)
if is_call_options is not None:
is_call_options = asinaccel(is_call_options, np.bool, 1)
size = np.maximum(size, is_call_options.size, dtype = np.int32)
if volatilities.size == 1:
tmp = volatilities[0]
volatilities = ndinaccel(size, dtype = np.float32)
volatilities.fill(tmp)
elif volatilities.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
if strikes.size == 1:
tmp = strikes[0]
strikes = ndinaccel(size, dtype = np.float32)
strikes.fill(tmp)
elif strikes.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
if expiries.size == 1:
tmp = expiries[0]
expiries = ndinaccel(size, dtype = np.float32)
expiries.fill(tmp)
elif expiries.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
if forwards is not None:
if forwards.size == 1:
tmp = forwards[0]
forwards = ndinaccel(size, dtype = np.float32)
forwards.fill(tmp)
elif forwards.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
else:
if spots.size == 1:
tmp = spots[0]
spots = ndinaccel(size, dtype = np.float32)
spots.fill(tmp)
elif spots.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
if discount_factors is None:
discount_factors = ndinaccel(size, dtype = np.float32)
discount_factors.fill(1.0)
else:
if discount_factors.size == 1:
tmp = discount_factors[0]
discount_factors = ndinaccel(size, dtype = np.float32)
discount_factors.fill(tmp)
elif discount_factors.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
if is_call_options is None:
is_call_options = ndinaccel(size, dtype = np.bool)
is_call_options.fill(True)
else:
if is_call_options.size == 1:
tmp = is_call_options[0]
is_call_options = ndinaccel(size, dtype = np.bool)
is_call_options.fill(tmp)
elif is_call_options.size != size:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
binary_price = ndinaccel(size, dtype = np.float32)
try:
request = inaccel.request('com.inaccel.quantitativeFinance.blackScholes.binary-price')
if (forwards is not None):
request.arg(forwards)
request.arg(np.int32(False))
else:
request.arg(spots)
request.arg(np.int32(True))
request.arg(strikes)
request.arg(expiries)
request.arg(discount_factors)
request.arg(volatilities)
request.arg(is_call_options)
request.arg(size)
request.arg(binary_price)
inaccel.submit(request).result()
return tf.convert_to_tensor(binary_price, name = (name or 'binary_price'))
except:
return binary_price_ref(volatilities = volatilities, strikes = strikes, expiries = expiries, spots = spots, forwards = forwards, discount_factors = discount_factors, is_call_options = is_call_options, dtype = dtype, name = name)
| 50.975904
| 392
| 0.715394
| 3,484
| 25,386
| 5.065155
| 0.087543
| 0.07395
| 0.051567
| 0.02975
| 0.836403
| 0.811469
| 0.788066
| 0.775939
| 0.770103
| 0.755086
| 0
| 0.017223
| 0.19948
| 25,386
| 497
| 393
| 51.078471
| 0.851147
| 0.356574
| 0
| 0.765152
| 0
| 0
| 0.024066
| 0.007126
| 0
| 0
| 0
| 0.002012
| 0
| 1
| 0.015152
| false
| 0
| 0.018939
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
cc36f1b649bfbc3251a08f97d105bbad13a809ee
| 3,512
|
py
|
Python
|
sca/models.py
|
MadDonkey/DongTai-openapi
|
40f5b218dcc2fee70e514ada20536ed3f2006404
|
[
"Apache-2.0"
] | 4
|
2021-09-01T06:38:12.000Z
|
2021-12-23T05:55:08.000Z
|
sca/models.py
|
MadDonkey/DongTai-openapi
|
40f5b218dcc2fee70e514ada20536ed3f2006404
|
[
"Apache-2.0"
] | 13
|
2021-09-13T07:45:38.000Z
|
2022-01-22T09:00:55.000Z
|
sca/models.py
|
MadDonkey/DongTai-openapi
|
40f5b218dcc2fee70e514ada20536ed3f2006404
|
[
"Apache-2.0"
] | 22
|
2021-09-01T06:33:30.000Z
|
2022-03-18T08:13:37.000Z
|
from django.db import models
# Create your models here.
from django.db import models
class Package(models.Model):
aql = models.CharField(max_length=255, blank=True, null=True)
hash = models.CharField(max_length=255, blank=True, null=True)
ecosystem = models.CharField(max_length=50, blank=True, null=True)
name = models.CharField(max_length=255, blank=True, null=True)
version = models.CharField(max_length=255, blank=True, null=True)
license = models.CharField(max_length=50, blank=True, null=True)
created_at = models.DateTimeField(auto_now_add=True, blank=True, null=True)
updated_at = models.DateTimeField(auto_now=True, blank=True, null=True)
class Meta:
db_table = 'sca2_package'
class Vul(models.Model):
id = models.CharField(primary_key=True, max_length=50)
summary = models.CharField(max_length=255, blank=True, null=True)
details = models.TextField(blank=True, null=True)
aliases = models.JSONField(blank=True, null=True)
modified = models.DateTimeField(blank=True, null=True)
published = models.DateTimeField(blank=True, null=True)
withdrawn = models.DateTimeField(blank=True, null=True)
references = models.JSONField(null=True)
created_at = models.DateTimeField(auto_now_add=True, blank=True, null=True)
updated_at = models.DateTimeField(auto_now=True, blank=True, null=True)
class Meta:
db_table = 'sca2_vul'
class VulPackage(models.Model):
vul_id = models.CharField(max_length=50, blank=True, null=True)
ecosystem = models.CharField(max_length=255, blank=True, null=True)
name = models.CharField(max_length=255, blank=True, null=True)
cwe_ids = models.JSONField(blank=True, null=True)
ghsa = models.CharField(max_length=255, blank=True, null=True)
cvss_vector = models.CharField(max_length=255, blank=True, null=True)
cvss_score = models.FloatField(default=0, blank=True, null=True)
source = models.CharField(max_length=255, blank=True, null=True)
severity = models.CharField(max_length=50, blank=True, null=True)
created_at = models.DateTimeField(auto_now_add=True, blank=True, null=True)
updated_at = models.DateTimeField(auto_now=True, blank=True, null=True)
class Meta:
db_table = 'sca2_vul_package'
class VulPackageRange(models.Model):
vul_package_id = models.IntegerField(max_length=11, blank=True, null=True)
ecosystem = models.CharField(max_length=255, blank=True, null=True)
name = models.CharField(max_length=255, blank=True, null=True)
type = models.CharField(max_length=50, blank=True, null=True)
introduced = models.CharField(max_length=50, blank=True, null=True)
fixed = models.CharField(max_length=50, blank=True, null=True)
created_at = models.DateTimeField(auto_now_add=True, blank=True, null=True)
updated_at = models.DateTimeField(auto_now=True, blank=True, null=True)
class Meta:
db_table = 'sca2_vul_package_range'
class VulPackageVersion(models.Model):
vul_package_id = models.IntegerField(max_length=11, blank=True, null=True)
ecosystem = models.CharField(max_length=255, blank=True, null=True)
name = models.CharField(max_length=255, blank=True, null=True)
version = models.CharField(max_length=255, blank=True, null=True)
created_at = models.DateTimeField(auto_now_add=True, blank=True, null=True)
updated_at = models.DateTimeField(auto_now=True, blank=True, null=True)
class Meta:
db_table = 'sca2_vul_package_version'
| 42.313253
| 79
| 0.738041
| 497
| 3,512
| 5.066398
| 0.136821
| 0.133439
| 0.211676
| 0.276807
| 0.83757
| 0.818507
| 0.750199
| 0.750199
| 0.750199
| 0.621922
| 0
| 0.023627
| 0.144362
| 3,512
| 82
| 80
| 42.829268
| 0.814309
| 0.006834
| 0
| 0.466667
| 0
| 0
| 0.023523
| 0.013196
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.033333
| 0
| 0.916667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 1
| 0
|
0
| 9
|
cc678c952de20fb285c0399b8aaca45774ad83db
| 76,649
|
py
|
Python
|
effective_prop_fem_dec1_2017.py
|
smiret/parallel_ga
|
5e2223d6bb934f22083c90ca552cc7e5d9b52d0b
|
[
"MIT"
] | null | null | null |
effective_prop_fem_dec1_2017.py
|
smiret/parallel_ga
|
5e2223d6bb934f22083c90ca552cc7e5d9b52d0b
|
[
"MIT"
] | null | null | null |
effective_prop_fem_dec1_2017.py
|
smiret/parallel_ga
|
5e2223d6bb934f22083c90ca552cc7e5d9b52d0b
|
[
"MIT"
] | null | null | null |
#Function call for the effective property calculation
def effective_prop_fem(Nx, k_matrix_mat, k_sphere_mat,Etensor_matrix, Etensor_sphere, sphere_table, beta):
import numpy as np
# from numpy.linalg import inv
# from scipy import interpolate
import scipy.sparse as sps
from scipy.sparse.linalg import spsolve
from datetime import datetime
import elast1_spheres
import thermo1_spheres
import strain_temp2_spheres
startTime = datetime.now()
#####################################################################################################################
####################################################################################################################
# Define the Meshing Function
def cmesh(n): # Number of Nodes in Each Direction For Meshing Function
n_nodes = int(n ** 3)
n_elem = int((n - 1) ** 3)
# This code generates the connectivity table for the mesh
conn = np.zeros(((n - 1) ** 3, 8), dtype=np.int)
# First row of connectivity table
conn[0, 0] = 1
conn[0, 1] = 2
conn[0, 2] = n + 2
conn[0, 3] = n + 1
conn[0, 4] = n ** 2 + 1
conn[0, 5] = n ** 2 + 2
conn[0, 6] = n ** 2 + n + 2
conn[0, 7] = n ** 2 + n + 1
counter = 0 # counter for row of connectivity table
for ii in range(0, n - 1): # outer jumps in z + n**2
if ii < n - 1:
conn[counter] = conn[counter - (n - 1) ** 2] + n ** 2
conn[0, 0] = 1
conn[0, 1] = 2
conn[0, 2] = n + 2
conn[0, 3] = n + 1
conn[0, 4] = n ** 2 + 1
conn[0, 5] = n ** 2 + 2
conn[0, 6] = n ** 2 + n + 2
conn[0, 7] = n ** 2 + n + 1
counter = counter + 1
jj = 0
else:
jj = 0
for jj in range(0, n - 1): # outer jumps in x + 1
if jj < n - 2:
conn[counter] = conn[counter - 1] + 1
counter = counter + 1
kk = 0
else:
kk = 0
for kk in range(0, n - 2): # inner jumps in y + 2
conn[counter] = conn[counter - 1] + 2
counter = counter + 1
for jj in range(0, n - 2): # outer jumps in x + 1
conn[counter] = conn[counter - 1] + 1
counter = counter + 1
# Adjust the indexes to 0-base
conn = conn - 1
for r in range(0, len(conn)):
for col in range(0, 4):
conn[r, col] = int(conn[r, col]) # Make the entries integers
# print conn
# Now I need to generate the nodes corresponding to the connectivity table
nodes = np.zeros((n ** 3, 3))
nodes2 = np.zeros((n ** 3, 3))
space = np.linspace(0, 1, n)
step = space[1] - space[0]
cc1 = 0
for zz in range(0, n):
nodes[cc1, 2] = space[zz]
nodes[cc1, 1] = 0
nodes[cc1, 0] = 0
# cc1 = cc1 + 1
nodes[0] = 0
for yy in range(0, n):
nodes[cc1, 2] = space[zz]
nodes[cc1, 1] = space[yy]
# cc1 = cc1 + 1
for xx in range(0, n):
nodes[cc1, 2] = space[zz]
nodes[cc1, 1] = space[yy]
nodes[cc1, 0] = space[xx]
cc1 = cc1 + 1
nodes3 = nodes
return nodes3, conn
#####################################################################################################################
#Mechanical Boundary Condition Function - Bottom Z direction
def mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
Ne = len(conn)
for e in range(0, (Nx - 1) ** 2):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
u_bc[ii] = np.dot(load_state, x_load[ii])
Selast[conn[e, 0], :] = 0.0
Selast[conn[e, 1], :] = 0.0
Selast[conn[e, 2], :] = 0.0
Selast[conn[e, 3], :] = 0.0
Selast[conn[e, 0], conn[e, 0]] = 1.0
Selast[conn[e, 1], conn[e, 1]] = 1.0
Selast[conn[e, 2], conn[e, 2]] = 1.0
Selast[conn[e, 3], conn[e, 3]] = 1.0
Selast[conn2[e, 0], :] = 0.0
Selast[conn2[e, 1], :] = 0.0
Selast[conn2[e, 2], :] = 0.0
Selast[conn2[e, 3], :] = 0.0
Selast[conn2[e, 0], conn2[e, 0]] = 1.0
Selast[conn2[e, 1], conn2[e, 1]] = 1.0
Selast[conn2[e, 2], conn2[e, 2]] = 1.0
Selast[conn2[e, 3], conn2[e, 3]] = 1.0
Selast[conn3[e, 0], :] = 0.0
Selast[conn3[e, 1], :] = 0.0
Selast[conn3[e, 2], :] = 0.0
Selast[conn3[e, 3], :] = 0.0
Selast[conn3[e, 0], conn3[e, 0]] = 1.0
Selast[conn3[e, 1], conn3[e, 1]] = 1.0
Selast[conn3[e, 2], conn3[e, 2]] = 1.0
Selast[conn3[e, 3], conn3[e, 3]] = 1.0
Melast[conn[e, 0], :] = 0.0
Melast[conn[e, 1], :] = 0.0
Melast[conn[e, 2], :] = 0.0
Melast[conn[e, 3], :] = 0.0
Melast[conn[e, 0], conn[e, 0]] = 1.0
Melast[conn[e, 1], conn[e, 1]] = 1.0
Melast[conn[e, 2], conn[e, 2]] = 1.0
Melast[conn[e, 3], conn[e, 3]] = 1.0
Melast[conn2[e, 0], :] = 0.0
Melast[conn2[e, 1], :] = 0.0
Melast[conn2[e, 2], :] = 0.0
Melast[conn2[e, 3], :] = 0.0
Melast[conn2[e, 0], conn2[e, 0]] = 1.0
Melast[conn2[e, 1], conn2[e, 1]] = 1.0
Melast[conn2[e, 2], conn2[e, 2]] = 1.0
Melast[conn2[e, 3], conn2[e, 3]] = 1.0
Melast[conn3[e, 0], :] = 0.0
Melast[conn3[e, 1], :] = 0.0
Melast[conn3[e, 2], :] = 0.0
Melast[conn3[e, 3], :] = 0.0
Melast[conn3[e, 0], conn3[e, 0]] = 1.0
Melast[conn3[e, 1], conn3[e, 1]] = 1.0
Melast[conn3[e, 2], conn3[e, 2]] = 1.0
Melast[conn3[e, 3], conn3[e, 3]] = 1.0
Relast[conn[e, 0]] = u_bc[0, 0]
Relast[conn[e, 1]] = u_bc[1, 0]
Relast[conn[e, 2]] = u_bc[2, 0]
Relast[conn[e, 3]] = u_bc[3, 0]
Relast[conn2[e, 0]] = u_bc[0, 1]
Relast[conn2[e, 1]] = u_bc[1, 1]
Relast[conn2[e, 2]] = u_bc[2, 1]
Relast[conn2[e, 3]] = u_bc[3, 1]
Relast[conn3[e, 0]] = u_bc[0, 2]
Relast[conn3[e, 1]] = u_bc[1, 2]
Relast[conn3[e, 2]] = u_bc[2, 2]
Relast[conn3[e, 3]] = u_bc[3, 2]
return Selast, Melast, Relast
#####################################################################################################################
#Mechanical Boundary Condition Function - Top Z direction
def mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
Ne = len(conn)
for e in range(Ne - (Nx - 1) ** 2, Ne):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
u_bc[ii] = np.dot(load_state, x_load[ii])
Selast[conn[e, 4], :] = 0.0
Selast[conn[e, 5], :] = 0.0
Selast[conn[e, 6], :] = 0.0
Selast[conn[e, 7], :] = 0.0
Selast[conn[e, 4], conn[e, 4]] = 1.0
Selast[conn[e, 5], conn[e, 5]] = 1.0
Selast[conn[e, 6], conn[e, 6]] = 1.0
Selast[conn[e, 7], conn[e, 7]] = 1.0
Selast[conn2[e, 4], :] = 0.0
Selast[conn2[e, 5], :] = 0.0
Selast[conn2[e, 6], :] = 0.0
Selast[conn2[e, 7], :] = 0.0
Selast[conn2[e, 4], conn2[e, 4]] = 1.0
Selast[conn2[e, 5], conn2[e, 5]] = 1.0
Selast[conn2[e, 6], conn2[e, 6]] = 1.0
Selast[conn2[e, 7], conn2[e, 7]] = 1.0
Selast[conn3[e, 4], :] = 0.0
Selast[conn3[e, 5], :] = 0.0
Selast[conn3[e, 6], :] = 0.0
Selast[conn3[e, 7], :] = 0.0
Selast[conn3[e, 4], conn3[e, 4]] = 1.0
Selast[conn3[e, 5], conn3[e, 5]] = 1.0
Selast[conn3[e, 6], conn3[e, 6]] = 1.0
Selast[conn3[e, 7], conn3[e, 7]] = 1.0
Melast[conn[e, 4], :] = 0.0
Melast[conn[e, 5], :] = 0.0
Melast[conn[e, 6], :] = 0.0
Melast[conn[e, 7], :] = 0.0
Melast[conn[e, 4], conn[e, 4]] = 1.0
Melast[conn[e, 5], conn[e, 5]] = 1.0
Melast[conn[e, 6], conn[e, 6]] = 1.0
Melast[conn[e, 7], conn[e, 7]] = 1.0
Melast[conn2[e, 4], :] = 0.0
Melast[conn2[e, 5], :] = 0.0
Melast[conn2[e, 6], :] = 0.0
Melast[conn2[e, 7], :] = 0.0
Melast[conn2[e, 4], conn2[e, 4]] = 1.0
Melast[conn2[e, 5], conn2[e, 5]] = 1.0
Melast[conn2[e, 6], conn2[e, 6]] = 1.0
Melast[conn2[e, 7], conn2[e, 7]] = 1.0
Melast[conn3[e, 4], :] = 0.0
Melast[conn3[e, 5], :] = 0.0
Melast[conn3[e, 6], :] = 0.0
Melast[conn3[e, 7], :] = 0.0
Melast[conn3[e, 4], conn3[e, 4]] = 1.0
Melast[conn3[e, 5], conn3[e, 5]] = 1.0
Melast[conn3[e, 6], conn3[e, 6]] = 1.0
Melast[conn3[e, 7], conn3[e, 7]] = 1.0
Relast[conn[e, 4]] = u_bc[4, 0]
Relast[conn[e, 5]] = u_bc[5, 0]
Relast[conn[e, 6]] = u_bc[6, 0]
Relast[conn[e, 7]] = u_bc[7, 0]
Relast[conn2[e, 4]] = u_bc[4, 1]
Relast[conn2[e, 5]] = u_bc[5, 1]
Relast[conn2[e, 6]] = u_bc[6, 1]
Relast[conn2[e, 7]] = u_bc[7, 1]
Relast[conn3[e, 4]] = u_bc[4, 2]
Relast[conn3[e, 5]] = u_bc[5, 2]
Relast[conn3[e, 6]] = u_bc[6, 2]
Relast[conn3[e, 7]] = u_bc[7, 2]
return Selast, Melast, Relast
#####################################################################################################################
#Mechanical Boundary Condition Function - Back X Direction
def mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
Ne = len(conn)
for e in range(0, (Ne), Nx - 1):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
u_bc[ii] = np.dot(load_state, x_load[ii])
Selast[conn[e, 0], :] = 0.0
Selast[conn[e, 3], :] = 0.0
Selast[conn[e, 4], :] = 0.0
Selast[conn[e, 7], :] = 0.0
Selast[conn[e, 0], conn[e, 0]] = 1.0
Selast[conn[e, 3], conn[e, 3]] = 1.0
Selast[conn[e, 4], conn[e, 4]] = 1.0
Selast[conn[e, 7], conn[e, 7]] = 1.0
Selast[conn2[e, 0], :] = 0.0
Selast[conn2[e, 3], :] = 0.0
Selast[conn2[e, 4], :] = 0.0
Selast[conn2[e, 7], :] = 0.0
Selast[conn2[e, 0], conn2[e, 0]] = 1.0
Selast[conn2[e, 3], conn2[e, 3]] = 1.0
Selast[conn2[e, 4], conn2[e, 4]] = 1.0
Selast[conn2[e, 7], conn2[e, 7]] = 1.0
Selast[conn3[e, 0], :] = 0.0
Selast[conn3[e, 3], :] = 0.0
Selast[conn3[e, 4], :] = 0.0
Selast[conn3[e, 7], :] = 0.0
Selast[conn3[e, 0], conn3[e, 0]] = 1.0
Selast[conn3[e, 3], conn3[e, 3]] = 1.0
Selast[conn3[e, 4], conn3[e, 4]] = 1.0
Selast[conn3[e, 7], conn3[e, 7]] = 1.0
Melast[conn[e, 0], :] = 0.0
Melast[conn[e, 3], :] = 0.0
Melast[conn[e, 4], :] = 0.0
Melast[conn[e, 7], :] = 0.0
Melast[conn[e, 0], conn[e, 0]] = 1.0
Melast[conn[e, 3], conn[e, 3]] = 1.0
Melast[conn[e, 4], conn[e, 4]] = 1.0
Melast[conn[e, 7], conn[e, 7]] = 1.0
Melast[conn2[e, 0], :] = 0.0
Melast[conn2[e, 3], :] = 0.0
Melast[conn2[e, 4], :] = 0.0
Melast[conn2[e, 7], :] = 0.0
Melast[conn2[e, 0], conn2[e, 0]] = 1.0
Melast[conn2[e, 3], conn2[e, 3]] = 1.0
Melast[conn2[e, 4], conn2[e, 4]] = 1.0
Melast[conn2[e, 7], conn2[e, 7]] = 1.0
Melast[conn3[e, 0], :] = 0.0
Melast[conn3[e, 3], :] = 0.0
Melast[conn3[e, 4], :] = 0.0
Melast[conn3[e, 7], :] = 0.0
Melast[conn3[e, 0], conn3[e, 0]] = 1.0
Melast[conn3[e, 3], conn3[e, 3]] = 1.0
Melast[conn3[e, 4], conn3[e, 4]] = 1.0
Melast[conn3[e, 7], conn3[e, 7]] = 1.0
Relast[conn[e, 0]] = u_bc[0, 0]
Relast[conn[e, 3]] = u_bc[3, 0]
Relast[conn[e, 4]] = u_bc[4, 0]
Relast[conn[e, 7]] = u_bc[7, 0]
Relast[conn2[e, 0]] = u_bc[0, 1]
Relast[conn2[e, 3]] = u_bc[3, 1]
Relast[conn2[e, 4]] = u_bc[4, 1]
Relast[conn2[e, 7]] = u_bc[7, 1]
Relast[conn3[e, 0]] = u_bc[0, 2]
Relast[conn3[e, 3]] = u_bc[3, 2]
Relast[conn3[e, 4]] = u_bc[4, 2]
Relast[conn3[e, 7]] = u_bc[7, 2]
return Selast, Melast, Relast
#####################################################################################################################
#Mechanical Boundary Condition Function - Front X Direction
def mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
Ne = len(conn)
for e in range(Nx - 2, Ne, Nx - 1):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
u_bc[ii] = np.dot(load_state, x_load[ii])
Selast[conn[e, 1], :] = 0.0
Selast[conn[e, 2], :] = 0.0
Selast[conn[e, 5], :] = 0.0
Selast[conn[e, 6], :] = 0.0
Selast[conn[e, 1], conn[e, 1]] = 1.0
Selast[conn[e, 2], conn[e, 2]] = 1.0
Selast[conn[e, 5], conn[e, 5]] = 1.0
Selast[conn[e, 6], conn[e, 6]] = 1.0
Selast[conn2[e, 1], :] = 0.0
Selast[conn2[e, 2], :] = 0.0
Selast[conn2[e, 5], :] = 0.0
Selast[conn2[e, 6], :] = 0.0
Selast[conn2[e, 1], conn2[e, 1]] = 1.0
Selast[conn2[e, 2], conn2[e, 2]] = 1.0
Selast[conn2[e, 5], conn2[e, 5]] = 1.0
Selast[conn2[e, 6], conn2[e, 6]] = 1.0
Selast[conn3[e, 1], :] = 0.0
Selast[conn3[e, 2], :] = 0.0
Selast[conn3[e, 5], :] = 0.0
Selast[conn3[e, 6], :] = 0.0
Selast[conn3[e, 1], conn3[e, 1]] = 1.0
Selast[conn3[e, 2], conn3[e, 2]] = 1.0
Selast[conn3[e, 5], conn3[e, 5]] = 1.0
Selast[conn3[e, 6], conn3[e, 6]] = 1.0
Melast[conn[e, 1], :] = 0.0
Melast[conn[e, 2], :] = 0.0
Melast[conn[e, 5], :] = 0.0
Melast[conn[e, 6], :] = 0.0
Melast[conn[e, 1], conn[e, 1]] = 1.0
Melast[conn[e, 2], conn[e, 2]] = 1.0
Melast[conn[e, 5], conn[e, 5]] = 1.0
Melast[conn[e, 6], conn[e, 6]] = 1.0
Melast[conn2[e, 1], :] = 0.0
Melast[conn2[e, 2], :] = 0.0
Melast[conn2[e, 5], :] = 0.0
Melast[conn2[e, 6], :] = 0.0
Melast[conn2[e, 1], conn2[e, 1]] = 1.0
Melast[conn2[e, 2], conn2[e, 2]] = 1.0
Melast[conn2[e, 5], conn2[e, 5]] = 1.0
Melast[conn2[e, 6], conn2[e, 6]] = 1.0
Melast[conn3[e, 1], :] = 0.0
Melast[conn3[e, 2], :] = 0.0
Melast[conn3[e, 5], :] = 0.0
Melast[conn3[e, 6], :] = 0.0
Melast[conn3[e, 1], conn3[e, 1]] = 1.0
Melast[conn3[e, 2], conn3[e, 2]] = 1.0
Melast[conn3[e, 5], conn3[e, 5]] = 1.0
Melast[conn3[e, 6], conn3[e, 6]] = 1.0
Relast[conn[e, 1]] = u_bc[1, 0]
Relast[conn[e, 2]] = u_bc[2, 0]
Relast[conn[e, 5]] = u_bc[5, 0]
Relast[conn[e, 6]] = u_bc[6, 0]
Relast[conn2[e, 1]] = u_bc[1, 1]
Relast[conn2[e, 2]] = u_bc[2, 1]
Relast[conn2[e, 5]] = u_bc[5, 1]
Relast[conn2[e, 6]] = u_bc[6, 1]
Relast[conn3[e, 1]] = u_bc[1, 2]
Relast[conn3[e, 2]] = u_bc[2, 2]
Relast[conn3[e, 5]] = u_bc[5, 2]
Relast[conn3[e, 6]] = u_bc[6, 2]
return Selast, Melast, Relast
#####################################################################################################################
#Mechanical Boundary Condition Function - Left Y Direction
def mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
Ne = len(conn)
for ee in range(0, Nx - 1):
for e in range(ee * (Nx - 1) ** 2, ee * (Nx - 1) ** 2 + (Nx - 1)):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
u_bc[ii] = np.dot(load_state, x_load[ii])
Selast[conn[e, 0], :] = 0.0
Selast[conn[e, 1], :] = 0.0
Selast[conn[e, 4], :] = 0.0
Selast[conn[e, 5], :] = 0.0
Selast[conn[e, 0], conn[e, 0]] = 1.0
Selast[conn[e, 1], conn[e, 1]] = 1.0
Selast[conn[e, 4], conn[e, 4]] = 1.0
Selast[conn[e, 5], conn[e, 5]] = 1.0
Selast[conn2[e, 0], :] = 0.0
Selast[conn2[e, 1], :] = 0.0
Selast[conn2[e, 4], :] = 0.0
Selast[conn2[e, 5], :] = 0.0
Selast[conn2[e, 0], conn2[e, 0]] = 1.0
Selast[conn2[e, 1], conn2[e, 1]] = 1.0
Selast[conn2[e, 4], conn2[e, 4]] = 1.0
Selast[conn2[e, 5], conn2[e, 5]] = 1.0
Selast[conn3[e, 0], :] = 0.0
Selast[conn3[e, 1], :] = 0.0
Selast[conn3[e, 4], :] = 0.0
Selast[conn3[e, 5], :] = 0.0
Selast[conn3[e, 0], conn3[e, 0]] = 1.0
Selast[conn3[e, 1], conn3[e, 1]] = 1.0
Selast[conn3[e, 4], conn3[e, 4]] = 1.0
Selast[conn3[e, 5], conn3[e, 5]] = 1.0
Melast[conn[e, 0], :] = 0.0
Melast[conn[e, 1], :] = 0.0
Melast[conn[e, 4], :] = 0.0
Melast[conn[e, 5], :] = 0.0
Melast[conn[e, 0], conn[e, 0]] = 1.0
Melast[conn[e, 1], conn[e, 1]] = 1.0
Melast[conn[e, 4], conn[e, 4]] = 1.0
Melast[conn[e, 5], conn[e, 5]] = 1.0
Melast[conn2[e, 0], :] = 0.0
Melast[conn2[e, 1], :] = 0.0
Melast[conn2[e, 4], :] = 0.0
Melast[conn2[e, 5], :] = 0.0
Melast[conn2[e, 0], conn2[e, 0]] = 1.0
Melast[conn2[e, 1], conn2[e, 1]] = 1.0
Melast[conn2[e, 4], conn2[e, 4]] = 1.0
Melast[conn2[e, 5], conn2[e, 5]] = 1.0
Melast[conn3[e, 0], :] = 0.0
Melast[conn3[e, 1], :] = 0.0
Melast[conn3[e, 4], :] = 0.0
Melast[conn3[e, 5], :] = 0.0
Melast[conn3[e, 0], conn3[e, 0]] = 1.0
Melast[conn3[e, 1], conn3[e, 1]] = 1.0
Melast[conn3[e, 4], conn3[e, 4]] = 1.0
Melast[conn3[e, 5], conn3[e, 5]] = 1.0
Relast[conn[e, 0]] = u_bc[0, 0]
Relast[conn[e, 1]] = u_bc[1, 0]
Relast[conn[e, 4]] = u_bc[4, 0]
Relast[conn[e, 5]] = u_bc[5, 0]
Relast[conn2[e, 0]] = u_bc[0, 1]
Relast[conn2[e, 1]] = u_bc[1, 1]
Relast[conn2[e, 4]] = u_bc[4, 1]
Relast[conn2[e, 5]] = u_bc[5, 1]
Relast[conn3[e, 0]] = u_bc[0, 2]
Relast[conn3[e, 1]] = u_bc[1, 2]
Relast[conn3[e, 4]] = u_bc[4, 2]
Relast[conn3[e, 5]] = u_bc[5, 2]
return Selast, Melast, Relast
#####################################################################################################################
#Mechanical Boundary Condition Function - Right Y Direction
def mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
Ne = len(conn)
for ee in range(0, Nx - 1):
for e in range(ee * (Nx - 1) ** 2 + ((Nx - 1) ** 2 - (Nx - 1)), (ee + 1) * (Nx - 1) ** 2):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
u_bc[ii] = np.dot(load_state, x_load[ii])
Selast[conn[e, 2], :] = 0.0
Selast[conn[e, 3], :] = 0.0
Selast[conn[e, 6], :] = 0.0
Selast[conn[e, 7], :] = 0.0
Selast[conn[e, 2], conn[e, 2]] = 1.0
Selast[conn[e, 3], conn[e, 3]] = 1.0
Selast[conn[e, 6], conn[e, 6]] = 1.0
Selast[conn[e, 7], conn[e, 7]] = 1.0
Selast[conn2[e, 2], :] = 0.0
Selast[conn2[e, 3], :] = 0.0
Selast[conn2[e, 6], :] = 0.0
Selast[conn2[e, 7], :] = 0.0
Selast[conn2[e, 2], conn2[e, 2]] = 1.0
Selast[conn2[e, 3], conn2[e, 3]] = 1.0
Selast[conn2[e, 6], conn2[e, 6]] = 1.0
Selast[conn2[e, 7], conn2[e, 7]] = 1.0
Selast[conn3[e, 2], :] = 0.0
Selast[conn3[e, 3], :] = 0.0
Selast[conn3[e, 6], :] = 0.0
Selast[conn3[e, 7], :] = 0.0
Selast[conn3[e, 2], conn3[e, 2]] = 1.0
Selast[conn3[e, 3], conn3[e, 3]] = 1.0
Selast[conn3[e, 6], conn3[e, 6]] = 1.0
Selast[conn3[e, 7], conn3[e, 7]] = 1.0
Melast[conn[e, 2], :] = 0.0
Melast[conn[e, 3], :] = 0.0
Melast[conn[e, 6], :] = 0.0
Melast[conn[e, 7], :] = 0.0
Melast[conn[e, 2], conn[e, 2]] = 1.0
Melast[conn[e, 3], conn[e, 3]] = 1.0
Melast[conn[e, 6], conn[e, 6]] = 1.0
Melast[conn[e, 7], conn[e, 7]] = 1.0
Melast[conn2[e, 2], :] = 0.0
Melast[conn2[e, 3], :] = 0.0
Melast[conn2[e, 6], :] = 0.0
Melast[conn2[e, 7], :] = 0.0
Melast[conn2[e, 2], conn2[e, 2]] = 1.0
Melast[conn2[e, 3], conn2[e, 3]] = 1.0
Melast[conn2[e, 6], conn2[e, 6]] = 1.0
Melast[conn2[e, 7], conn2[e, 7]] = 1.0
Melast[conn3[e, 2], :] = 0.0
Melast[conn3[e, 3], :] = 0.0
Melast[conn3[e, 6], :] = 0.0
Melast[conn3[e, 7], :] = 0.0
Melast[conn3[e, 2], conn3[e, 2]] = 1.0
Melast[conn3[e, 3], conn3[e, 3]] = 1.0
Melast[conn3[e, 6], conn3[e, 6]] = 1.0
Melast[conn3[e, 7], conn3[e, 7]] = 1.0
Relast[conn[e, 2]] = u_bc[2, 0]
Relast[conn[e, 3]] = u_bc[3, 0]
Relast[conn[e, 6]] = u_bc[6, 0]
Relast[conn[e, 7]] = u_bc[7, 0]
Relast[conn2[e, 2]] = u_bc[2, 1]
Relast[conn2[e, 3]] = u_bc[3, 1]
Relast[conn2[e, 6]] = u_bc[6, 1]
Relast[conn2[e, 7]] = u_bc[7, 1]
Relast[conn3[e, 2]] = u_bc[2, 2]
Relast[conn3[e, 3]] = u_bc[3, 2]
Relast[conn3[e, 6]] = u_bc[6, 2]
Relast[conn3[e, 7]] = u_bc[7, 2]
return Selast, Melast, Relast
#####################################################################################################################
#Thermal Boundary Condition - Lower Z Surface
def thermal_boundary_bottom_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
t_bc = np.zeros(8)
x_load = np.zeros((8,3))
Ne = len(conn)
# Lower z Surface - bottom
for e in range(0, (Nx - 1) ** 2):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
t_bc[ii] = np.dot(load_state, x_load[ii])
Stemp[conn[e, 0], :] = 0.0
Stemp[conn[e, 1], :] = 0.0
Stemp[conn[e, 2], :] = 0.0
Stemp[conn[e, 3], :] = 0.0
Stemp[conn[e, 0], conn[e, 0]] = 1.0
Stemp[conn[e, 1], conn[e, 1]] = 1.0
Stemp[conn[e, 2], conn[e, 2]] = 1.0
Stemp[conn[e, 3], conn[e, 3]] = 1.0
Mtemp[conn[e, 0], :] = 0.0
Mtemp[conn[e, 1], :] = 0.0
Mtemp[conn[e, 2], :] = 0.0
Mtemp[conn[e, 3], :] = 0.0
Mtemp[conn[e, 0], conn[e, 0]] = 1.0
Mtemp[conn[e, 1], conn[e, 1]] = 1.0
Mtemp[conn[e, 2], conn[e, 2]] = 1.0
Mtemp[conn[e, 3], conn[e, 3]] = 1.0
Rtemp[conn[e, 0]] = t_bc[0]
Rtemp[conn[e, 1]] = t_bc[1]
Rtemp[conn[e, 2]] = t_bc[2]
Rtemp[conn[e, 3]] = t_bc[3]
return Stemp, Mtemp, Rtemp
#####################################################################################################################
#Thermal Boundary Condition - Top Z Surface
def thermal_boundary_top_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
t_bc = np.zeros(8)
x_load = np.zeros((8,3))
Ne = len(conn)
# Top z Surface
for e in range(Ne - (Nx - 1) ** 2, Ne):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
t_bc[ii] = np.dot(load_state, x_load[ii])
Stemp[conn[e, 4], :] = 0.0
Stemp[conn[e, 5], :] = 0.0
Stemp[conn[e, 6], :] = 0.0
Stemp[conn[e, 7], :] = 0.0
Stemp[conn[e, 4], conn[e, 4]] = 1.0
Stemp[conn[e, 5], conn[e, 5]] = 1.0
Stemp[conn[e, 6], conn[e, 6]] = 1.0
Stemp[conn[e, 7], conn[e, 7]] = 1.0
Mtemp[conn[e, 4], :] = 0.0
Mtemp[conn[e, 5], :] = 0.0
Mtemp[conn[e, 6], :] = 0.0
Mtemp[conn[e, 7], :] = 0.0
Mtemp[conn[e, 4], conn[e, 4]] = 1.0
Mtemp[conn[e, 5], conn[e, 5]] = 1.0
Mtemp[conn[e, 6], conn[e, 6]] = 1.0
Mtemp[conn[e, 7], conn[e, 7]] = 1.0
Rtemp[conn[e, 4]] = t_bc[4]
Rtemp[conn[e, 5]] = t_bc[5]
Rtemp[conn[e, 6]] = t_bc[6]
Rtemp[conn[e, 7]] = t_bc[7]
return Stemp, Mtemp, Rtemp
#####################################################################################################################
#Thermal Boundary Condition - Back X Surface
def thermal_boundary_back_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
t_bc = np.zeros(8)
x_load = np.zeros((8,3))
Ne = len(conn)
# Back x surface - near the axis
for e in range(0, (Ne), Nx - 1):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
t_bc[ii] = np.dot(load_state, x_load[ii])
Stemp[conn[e, 0], :] = 0.0
Stemp[conn[e, 3], :] = 0.0
Stemp[conn[e, 4], :] = 0.0
Stemp[conn[e, 7], :] = 0.0
Stemp[conn[e, 0], conn[e, 0]] = 1.0
Stemp[conn[e, 3], conn[e, 3]] = 1.0
Stemp[conn[e, 4], conn[e, 4]] = 1.0
Stemp[conn[e, 7], conn[e, 7]] = 1.0
Mtemp[conn[e, 0], :] = 0.0
Mtemp[conn[e, 3], :] = 0.0
Mtemp[conn[e, 4], :] = 0.0
Mtemp[conn[e, 7], :] = 0.0
Mtemp[conn[e, 0], conn[e, 0]] = 1.0
Mtemp[conn[e, 3], conn[e, 3]] = 1.0
Mtemp[conn[e, 4], conn[e, 4]] = 1.0
Mtemp[conn[e, 7], conn[e, 7]] = 1.0
Rtemp[conn[e, 0]] = t_bc[0]
Rtemp[conn[e, 3]] = t_bc[3]
Rtemp[conn[e, 4]] = t_bc[4]
Rtemp[conn[e, 7]] = t_bc[7]
return Stemp, Mtemp, Rtemp
#####################################################################################################################
#Thermal Boundary Condition - Front X Surface (+1.0)
def thermal_boundary_front_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
t_bc = np.zeros(8)
x_load = np.zeros((8,3))
Ne = len(conn)
# front x surface - away from the axis
for e in range(Nx - 2, Ne, Nx - 1):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
t_bc[ii] = np.dot(load_state, x_load[ii])
Stemp[conn[e, 1], :] = 0.0
Stemp[conn[e, 2], :] = 0.0
Stemp[conn[e, 5], :] = 0.0
Stemp[conn[e, 6], :] = 0.0
Stemp[conn[e, 1], conn[e, 1]] = 1.0
Stemp[conn[e, 2], conn[e, 2]] = 1.0
Stemp[conn[e, 5], conn[e, 5]] = 1.0
Stemp[conn[e, 6], conn[e, 6]] = 1.0
Mtemp[conn[e, 1], :] = 0.0
Mtemp[conn[e, 2], :] = 0.0
Mtemp[conn[e, 5], :] = 0.0
Mtemp[conn[e, 6], :] = 0.0
Mtemp[conn[e, 1], conn[e, 1]] = 1.0
Mtemp[conn[e, 2], conn[e, 2]] = 1.0
Mtemp[conn[e, 5], conn[e, 5]] = 1.0
Mtemp[conn[e, 6], conn[e, 6]] = 1.0
Rtemp[conn[e, 1]] = t_bc[1]
Rtemp[conn[e, 2]] = t_bc[2]
Rtemp[conn[e, 5]] = t_bc[5]
Rtemp[conn[e, 6]] = t_bc[6]
return Stemp, Mtemp, Rtemp
#####################################################################################################################
#Thermal Boundary Condition - Left Y Surface (-1.0)
def thermal_boundary_left_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
t_bc = np.zeros(8)
x_load = np.zeros((8,3))
Ne = len(conn)
# Left y surface - bottom (z = -1.0)
for ee in range(0, Nx - 1):
for e in range(ee * (Nx - 1) ** 2, ee * (Nx - 1) ** 2 + (Nx - 1)):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
t_bc[ii] = np.dot(load_state, x_load[ii])
Stemp[conn[e, 0], :] = 0.0
Stemp[conn[e, 1], :] = 0.0
Stemp[conn[e, 4], :] = 0.0
Stemp[conn[e, 5], :] = 0.0
Stemp[conn[e, 0], conn[e, 0]] = 1.0
Stemp[conn[e, 1], conn[e, 1]] = 1.0
Stemp[conn[e, 4], conn[e, 4]] = 1.0
Stemp[conn[e, 5], conn[e, 5]] = 1.0
Mtemp[conn[e, 0], :] = 0.0
Mtemp[conn[e, 1], :] = 0.0
Mtemp[conn[e, 4], :] = 0.0
Mtemp[conn[e, 5], :] = 0.0
Mtemp[conn[e, 0], conn[e, 0]] = 1.0
Mtemp[conn[e, 1], conn[e, 1]] = 1.0
Mtemp[conn[e, 4], conn[e, 4]] = 1.0
Mtemp[conn[e, 5], conn[e, 5]] = 1.0
Rtemp[conn[e, 0]] = t_bc[0]
Rtemp[conn[e, 1]] = t_bc[1]
Rtemp[conn[e, 4]] = t_bc[4]
Rtemp[conn[e, 5]] = t_bc[5]
return Stemp, Mtemp, Rtemp
#####################################################################################################################
#Thermal Boundary Condition - Right Y Surface (+1.0)
def thermal_boundary_right_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state):
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
t_bc = np.zeros(8)
x_load = np.zeros((8,3))
Ne = len(conn)
# Right y surface, z = 1.0
for ee in range(0, Nx - 1):
for e in range(ee * (Nx - 1) ** 2 + ((Nx - 1) ** 2 - (Nx - 1)), (ee + 1) * (Nx - 1) ** 2):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
x_load[:, 0] = x1
x_load[:, 1] = x2
x_load[:, 2] = x3
for ii in range(0, 8):
t_bc[ii] = np.dot(load_state, x_load[ii])
Stemp[conn[e, 2], :] = 0.0
Stemp[conn[e, 3], :] = 0.0
Stemp[conn[e, 6], :] = 0.0
Stemp[conn[e, 7], :] = 0.0
Stemp[conn[e, 2], conn[e, 2]] = 1.0
Stemp[conn[e, 3], conn[e, 3]] = 1.0
Stemp[conn[e, 6], conn[e, 6]] = 1.0
Stemp[conn[e, 7], conn[e, 7]] = 1.0
Mtemp[conn[e, 2], :] = 0.0
Mtemp[conn[e, 3], :] = 0.0
Mtemp[conn[e, 6], :] = 0.0
Mtemp[conn[e, 7], :] = 0.0
Mtemp[conn[e, 2], conn[e, 2]] = 1.0
Mtemp[conn[e, 3], conn[e, 3]] = 1.0
Mtemp[conn[e, 6], conn[e, 6]] = 1.0
Mtemp[conn[e, 7], conn[e, 7]] = 1.0
Rtemp[conn[e, 2]] = t_bc[2]
Rtemp[conn[e, 3]] = t_bc[3]
Rtemp[conn[e, 6]] = t_bc[6]
Rtemp[conn[e, 7]] = t_bc[7]
return Stemp, Mtemp, Rtemp
#####################################################################################################################
#Generate the mesh
# Nx = 9
[nodes, conn] = cmesh(Nx)
#Add second and third component to the connectivity to track 2nd and 3rd component of the displacement solution
conn2 = conn + np.max(conn) + 1
conn3 = conn2 + np.max(conn) + 1
n_nodes = int(Nx**3)
n_elem = int((Nx-1)**3)
Ne = len(conn)
NP = len(nodes)
#Thermal FEM matrices
Stemp = sps.lil_matrix((NP, NP)) #Stiffness Matrix
Mtemp = sps.lil_matrix((NP, NP)) #Mass Matrix
fS1temp = sps.lil_matrix((NP, NP))
fM1temp = sps.lil_matrix((NP, NP))
fS2temp = sps.lil_matrix((NP, NP))
fS3temp = sps.lil_matrix((NP, NP))
Rtemp = np.zeros((NP,1))
fR1temp = np.zeros((8,1))
fR2temp = np.zeros((8,1))
fR3temp = np.zeros((8,1))
#Elasticity FEM matrices
Selast = sps.lil_matrix((3*NP, 3*NP)) #Stiffness Matrix
Melast = sps.lil_matrix((3*NP, 3*NP)) #Mass Matrix
fS1elast = sps.lil_matrix((24, 24))
fM1elast = sps.lil_matrix((24, 24))
fS2elast = sps.lil_matrix((24, 24))
fS3elast = sps.lil_matrix((24, 24))
Relast = np.zeros((3*NP,1))
fR1elast = np.zeros((24,1))
fR2elast = np.zeros((24,1))
fR3elast = np.zeros((24,1))
#Stress/strain storage matrices (per timestep)
strainfull0 = np.zeros((n_elem,48))
stressfull0 = np.zeros((n_elem,48))
thermstrainfull0 = np.zeros((n_elem,48))
plasticfull0 = np.zeros((n_elem,48))
strainfull1 = np.zeros((n_elem,48))
stressfull1 = np.zeros((n_elem,48))
thermstrainfull1 = np.zeros((n_elem,48))
plasticfull1 = np.zeros((n_elem,48))
therm_deriv0 = np.zeros((n_elem, 24))
therm_flux0 = np.zeros((n_elem, 24))
stressmat = np.zeros((n_nodes,6))
strainmat = np.zeros((n_nodes,6))
thermstrainmat = np.zeros((n_nodes,6))
thermderivmat = np.zeros((n_nodes,3))
thermfluxmat = np.zeros((n_nodes,3))
plastic_0 = np.zeros((8,6))
####Additional vectors/matrices
F = np.zeros((3,3))
x1 = np.zeros(8)
x2 = np.zeros(8)
x3 = np.zeros(8)
#Effective Property Matrices
eff_mech_strain_avg = np.zeros((36,36))
eff_therm_deriv_avg = np.zeros((9,9))
zero_6 = np.zeros((1,6))
strain_avg = np.zeros(6)
temp_deriv_avg = np.zeros(3)
#mech_states = np.array([beta, beta, beta, beta, beta, beta])
mech_states_stress = np.zeros(36)
temp_states = np.zeros(9)
u_bc = np.zeros((8,3))
x_load = np.zeros((8,3))
t_bc = np.zeros(8)
#beta = 1.01 #mechanical & thermal
#####################################################################################################################
#Initial Conditions
ufull = np.zeros((len(nodes),3))
ufullnew = np.zeros((len(nodes),3))
stressmat0 = np.zeros((n_nodes,6))
strainmat0 = np.zeros((n_nodes,6))
thermstrainmat0 = np.zeros((n_nodes,6))
Tzero = 300.0
delt = 0.0
gamma = 10e-5
arate = 0.0
damage = 1.0
damage_stress = 100e12
yieldstress = 100e12
T_fem = np.ones(len(Rtemp))*Tzero
#####################################################################################################################
# Load State Stepping loop for Mechanical Loads (Separate Mechanical and Thermal loops)
for t in range(0, 6): # 6 different load state calculations for elasticity
# zero out the matrices and vectors
Rtemp = np.zeros((NP, 1))
Stemp = sps.lil_matrix((NP, NP)) # Stiffness Matrix
Mtemp = sps.lil_matrix((NP, NP)) # Mass Matrix
Relast = np.zeros((3 * NP, 1))
Selast = sps.lil_matrix((3 * NP, 3 * NP)) # Stiffness Matrix
Melast = sps.lil_matrix((3 * NP, 3 * NP)) # Mass Matrix
# Define the load state
# Mechanical Load States
# Load State 1: beta on bottom z, load state2: beta on top z, load state 3: beta on left x, load state 4: beta on right x
# load state 5: beta on back y, load state 6: beta on front y
# Elasticity Problem
for e in range(0, Ne):
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
# Integral 1 - Stiffness Matrix - Essential Integral
fS1elast = elast1_spheres.stiff1(x1, x2, x3, damage, Etensor_matrix, Etensor_sphere, sphere_table)
for i in range(0, 8):
for j in range(0, 8):
Selast[conn[e, i], conn[e, j]] = Selast[conn[e, i], conn[e, j]] + fS1elast[i, j]
Selast[conn2[e, i], conn2[e, j]] = Selast[conn2[e, i], conn2[e, j]] + fS1elast[i + 8, j + 8]
Selast[conn3[e, i], conn3[e, j]] = Selast[conn3[e, i], conn3[e, j]] + fS1elast[i + 16, j + 16]
if t == 0:
# load state 1
load_state = np.array([[beta, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]])
# Lower z Surface - bottom
[Selast, Melast, Relast] = mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Top Z Surface
[Selast, Melast, Relast] = mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Back x surface - near the axis
[Selast, Melast, Relast] = mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# front x surface - away from the axis
[Selast, Melast, Relast] = mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Left y surface - bottom (z = -1.0)
[Selast, Melast, Relast] = mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Right y surface, z = 1.0
[Selast, Melast, Relast] = mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
if t == 1:
# load state 2
load_state = np.array([[0.0, 0.0, 0.0], [0.0, beta, 0.0], [0.0, 0.0, 0.0]])
# Lower z Surface - bottom
[Selast, Melast, Relast] = mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Top Z Surface
[Selast, Melast, Relast] = mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Back x surface - near the axis
[Selast, Melast, Relast] = mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# front x surface - away from the axis
[Selast, Melast, Relast] = mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Left y surface - bottom (z = -1.0)
[Selast, Melast, Relast] = mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Right y surface, z = 1.0
[Selast, Melast, Relast] = mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
if t == 2:
# load state 3
load_state = np.array([[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, beta]])
# Lower z Surface - bottom
[Selast, Melast, Relast] = mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Top Z Surface
[Selast, Melast, Relast] = mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Back x surface - near the axis
[Selast, Melast, Relast] = mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# front x surface - away from the axis
[Selast, Melast, Relast] = mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Left y surface - bottom (z = -1.0)
[Selast, Melast, Relast] = mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Right y surface, z = 1.0
[Selast, Melast, Relast] = mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
if t == 3:
# load state 4
load_state = np.array([[0.0, beta, 0.0], [beta, 0.0, 0.0], [0.0, 0.0, 0.0]])
# Lower z Surface - bottom
[Selast, Melast, Relast] = mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Top Z Surface
[Selast, Melast, Relast] = mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Back x surface - near the axis
[Selast, Melast, Relast] = mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# front x surface - away from the axis
[Selast, Melast, Relast] = mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Left y surface - bottom (z = -1.0)
[Selast, Melast, Relast] = mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Right y surface, z = 1.0
[Selast, Melast, Relast] = mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
if t == 4:
# load state 5
load_state = np.array([[0.0, 0.0, 0.0], [0.0, 0.0, beta], [beta, 0.0, 0.0]])
# Lower z Surface - bottom
[Selast, Melast, Relast] = mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Top Z Surface
[Selast, Melast, Relast] = mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Back x surface - near the axis
[Selast, Melast, Relast] = mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# front x surface - away from the axis
[Selast, Melast, Relast] = mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Left y surface - bottom (z = -1.0)
[Selast, Melast, Relast] = mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Right y surface, z = 1.0
[Selast, Melast, Relast] = mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
if t == 5:
# load state 6
load_state = np.array([[0.0, 0.0, beta], [0.0, 0.0, 0.0], [beta, 0.0, 0.0]])
# Lower z Surface - bottom
[Selast, Melast, Relast] = mech_boundary_bottom_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Top Z Surface
[Selast, Melast, Relast] = mech_boundary_top_zz(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Back x surface - near the axis
[Selast, Melast, Relast] = mech_boundary_back_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# front x surface - away from the axis
[Selast, Melast, Relast] = mech_boundary_front_xx(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Left y surface - bottom (z = -1.0)
[Selast, Melast, Relast] = mech_boundary_left_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
# Right y surface, z = 1.0
[Selast, Melast, Relast] = mech_boundary_right_yy(Nx, nodes, conn, Selast, Melast, Relast, load_state)
###Solve the elasticity problem - timestep forward to compute fields
stepvecelast = Relast
stepmatelast = Selast
unewvec = spsolve(stepmatelast.tocsc(), stepvecelast)
# velocity = (unewvec - uvec[:,0])/delt
udir1 = unewvec[0:n_nodes]
udir2 = unewvec[n_nodes:2 * n_nodes]
udir3 = unewvec[2 * n_nodes:3 * n_nodes]
# WATCH FOR THIS BUG HERE!!! - I think it's fixed with the new limits
for aa in range(0, len(udir1)):
if udir1[aa] < 10.0 ** -10 and udir1[aa] > -10.0 ** -10:
udir1[aa] = 0.0
if udir2[aa] < 10.0 ** -10 and udir2[aa] > -10.0 ** -10:
udir2[aa] = 0.0
if udir3[aa] < 10.0 ** -10 and udir3[aa] > -10.0 ** -10:
udir3[aa] = 0.0
ufullnew[:, 0] = udir1
ufullnew[:, 1] = udir2
ufullnew[:, 2] = udir3
# Calculate the new stress state per node - include the temperature derivative on the interior
# take out the interior to calculate the strain/temperature average on the interior only
N_ext = 2 * (Nx - 1) ** 2 + 2 * ((Nx - 1) ** 2 - 2 * (Nx - 1)) + 2 * ((Nx - 1) ** 2 - 2 * (Nx - 1) - 2 * (Nx - 3))
N_int = Ne - N_ext
# Remove outermost layer of elements
for eee in range(1, Nx - 2):
for ee in range(0, Nx - 3):
for e in range(eee * (Nx - 1) ** 2 + ee * (Nx - 1) + (Nx),
eee * (Nx - 1) ** 2 + ee * (Nx - 1) + (Nx + Nx - 3)):
# print 'e', e
Tfemvec1 = np.array(T_fem[conn[e, :]])
strainfull0[e, :] = strainfull1[e, :]
stressfull0[e, :] = stressfull1[e, :]
thermstrainfull0[e, :] = thermstrainfull1[e, :]
plasticfull0[e, :] = plasticfull1[e, :]
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
uelemvec = np.array(ufullnew[conn[e, :], :])
[strainel, stressel, thermstrainel, plasticel,therm_deriv_el,
therm_flux_el, damage_new] = strain_temp2_spheres.nodes_strains_sphere(x1,x2,x3,uelemvec,Tfemvec1,Tzero,k_matrix_mat,
k_sphere_mat,gamma,delt, damage,damage_stress,yieldstress,
arate,Etensor_matrix,Etensor_sphere, plastic_0, sphere_table)
strainel = strainel.flatten()
stressel = stressel.flatten()
thermstrainel = thermstrainel.flatten()
plasticel = plasticel.flatten()
therm_deriv_el = therm_deriv_el.flatten()
therm_flux_el = therm_flux_el.flatten()
for aa in range(0, len(stressel)):
if strainel[aa] < 10.0 ** -10 and strainel[aa] > -10.0 ** -10:
strainel[aa] = 0.0
if stressel[aa] < 10.0 ** -10 and stressel[aa] > -10.0 ** -10:
stressel[aa] = 0.0
if thermstrainel[aa] < 10.0 ** -10 and thermstrainel[aa] > -10.0 ** -10:
thermstrainel[aa] = 0.0
if plasticel[aa] < 10.0 ** -10 and plasticel[aa] > -10.0 ** -10:
plasticel[aa] = 0.0
for aa in range(0, len(therm_deriv_el)):
if therm_deriv_el[aa] < 10.0 ** -10 and therm_deriv_el[aa] > -10.0 ** -10:
therm_deriv_el[aa] = 0.0
##Dimensions mismatched - might have to transpose them
strainfull1[e, :] = strainel
stressfull1[e, :] = stressel
thermstrainfull1[e, :] = thermstrainel
plasticfull1[e, :] = plasticel
therm_deriv0[e, :] = therm_deriv_el
therm_flux0[e, :] = therm_flux_el
stressmat[conn[e, 0], :] = stressfull1[e, 0:6]
stressmat[conn[e, 1], :] = stressfull1[e, 6:12]
stressmat[conn[e, 2], :] = stressfull1[e, 12:18]
stressmat[conn[e, 3], :] = stressfull1[e, 18:24]
stressmat[conn[e, 4], :] = stressfull1[e, 24:30]
stressmat[conn[e, 5], :] = stressfull1[e, 30:36]
stressmat[conn[e, 6], :] = stressfull1[e, 36:42]
stressmat[conn[e, 7], :] = stressfull1[e, 42:48]
strainmat[conn[e, 0], :] = strainfull1[e, 0:6]
strainmat[conn[e, 1], :] = strainfull1[e, 6:12]
strainmat[conn[e, 2], :] = strainfull1[e, 12:18]
strainmat[conn[e, 3], :] = strainfull1[e, 18:24]
strainmat[conn[e, 4], :] = strainfull1[e, 24:30]
strainmat[conn[e, 5], :] = strainfull1[e, 30:36]
strainmat[conn[e, 6], :] = strainfull1[e, 36:42]
strainmat[conn[e, 7], :] = strainfull1[e, 42:48]
thermstrainmat[conn[e, 0], :] = thermstrainfull1[e, 0:6]
thermstrainmat[conn[e, 1], :] = thermstrainfull1[e, 6:12]
thermstrainmat[conn[e, 2], :] = thermstrainfull1[e, 12:18]
thermstrainmat[conn[e, 3], :] = thermstrainfull1[e, 18:24]
thermstrainmat[conn[e, 4], :] = thermstrainfull1[e, 24:30]
thermstrainmat[conn[e, 5], :] = thermstrainfull1[e, 30:36]
thermstrainmat[conn[e, 6], :] = thermstrainfull1[e, 36:42]
thermstrainmat[conn[e, 7], :] = thermstrainfull1[e, 42:48]
thermderivmat[conn[e, 0], :] = therm_deriv0[e, 0:3]
thermderivmat[conn[e, 1], :] = therm_deriv0[e, 3:6]
thermderivmat[conn[e, 2], :] = therm_deriv0[e, 6:9]
thermderivmat[conn[e, 3], :] = therm_deriv0[e, 9:12]
thermderivmat[conn[e, 4], :] = therm_deriv0[e, 12:15]
thermderivmat[conn[e, 5], :] = therm_deriv0[e, 15:18]
thermderivmat[conn[e, 6], :] = therm_deriv0[e, 18:21]
thermderivmat[conn[e, 7], :] = therm_deriv0[e, 21:24]
thermfluxmat[conn[e, 0], :] = therm_flux0[e, 0:3]
thermfluxmat[conn[e, 1], :] = therm_flux0[e, 3:6]
thermfluxmat[conn[e, 2], :] = therm_flux0[e, 6:9]
thermfluxmat[conn[e, 3], :] = therm_flux0[e, 9:12]
thermfluxmat[conn[e, 4], :] = therm_flux0[e, 12:15]
thermfluxmat[conn[e, 5], :] = therm_flux0[e, 15:18]
thermfluxmat[conn[e, 6], :] = therm_flux0[e, 18:21]
thermfluxmat[conn[e, 7], :] = therm_flux0[e, 21:24]
# Calculate the average strain in each direction
strain_avg = [np.sum(strainmat[:, 0]) / N_int, np.sum(strainmat[:, 1]) / N_int, np.sum(strainmat[:, 2]) / N_int,
np.sum(strainmat[:, 3]) / N_int, np.sum(strainmat[:, 4]) / N_int, np.sum(strainmat[:, 5]) / N_int]
stress_avg = [np.sum(stressmat[:, 0]) / N_int, np.sum(stressmat[:, 1]) / N_int, np.sum(stressmat[:, 2]) / N_int,
np.sum(stressmat[:, 3]) / N_int, np.sum(stressmat[:, 4]) / N_int, np.sum(stressmat[:, 5]) / N_int]
# t is dummy variable to number the load state
eff_mech_strain_avg[t * 6 + 0, 0:6] = strain_avg
eff_mech_strain_avg[t * 6 + 1, 6:12] = strain_avg
eff_mech_strain_avg[t * 6 + 2, 12:18] = strain_avg
eff_mech_strain_avg[t * 6 + 3, 18:24] = strain_avg
eff_mech_strain_avg[t * 6 + 4, 24:30] = strain_avg
eff_mech_strain_avg[t * 6 + 5, 30:36] = strain_avg
mech_states_stress[(t * 6):(t * 6 + 6)] = stress_avg
# print 'Mech', t
#
# print 'calculation time', datetime.now() - startTime
################################################################################################################################################
#Effective property calculations with matrices
#Elasticity
#Symmetry of Elasticity Tensor
eff_mech_strain_avg_sym = np.zeros((36,21))
mech_states_stress_sym = np.zeros(21)
#Matching Strains
#Row 0
eff_mech_strain_avg_sym[:,0] = eff_mech_strain_avg[:,0]
eff_mech_strain_avg_sym[:,1] = eff_mech_strain_avg[:,1] + eff_mech_strain_avg[:,6]
eff_mech_strain_avg_sym[:,2] = eff_mech_strain_avg[:,2] + eff_mech_strain_avg[:,12]
eff_mech_strain_avg_sym[:,3] = eff_mech_strain_avg[:,3] + eff_mech_strain_avg[:,18]
eff_mech_strain_avg_sym[:,4] = eff_mech_strain_avg[:,4] + eff_mech_strain_avg[:,24]
eff_mech_strain_avg_sym[:,5] = eff_mech_strain_avg[:,5] + eff_mech_strain_avg[:,30]
#Row 1
eff_mech_strain_avg_sym[:,6] = eff_mech_strain_avg[:,7]
eff_mech_strain_avg_sym[:,7] = eff_mech_strain_avg[:,8] + eff_mech_strain_avg[:,13]
eff_mech_strain_avg_sym[:,8] = eff_mech_strain_avg[:,9] + eff_mech_strain_avg[:,19]
eff_mech_strain_avg_sym[:,9] = eff_mech_strain_avg[:,10] + eff_mech_strain_avg[:,25]
eff_mech_strain_avg_sym[:,10] = eff_mech_strain_avg[:,11] + eff_mech_strain_avg[:,31]
#Row 2
eff_mech_strain_avg_sym[:,11] = eff_mech_strain_avg[:,14]
eff_mech_strain_avg_sym[:,12] = eff_mech_strain_avg[:,15] + eff_mech_strain_avg[:,20]
eff_mech_strain_avg_sym[:,13] = eff_mech_strain_avg[:,16] + eff_mech_strain_avg[:,26]
eff_mech_strain_avg_sym[:,14] = eff_mech_strain_avg[:,17] + eff_mech_strain_avg[:,32]
#Row 3
eff_mech_strain_avg_sym[:,15] = eff_mech_strain_avg[:,21]
eff_mech_strain_avg_sym[:,16] = eff_mech_strain_avg[:,22] + eff_mech_strain_avg[:,27]
eff_mech_strain_avg_sym[:,17] = eff_mech_strain_avg[:,23] + eff_mech_strain_avg[:,33]
#Row 4
eff_mech_strain_avg_sym[:,18] = eff_mech_strain_avg[:,28]
eff_mech_strain_avg_sym[:,19] = eff_mech_strain_avg[:,29] + eff_mech_strain_avg[:,34]
#Row 5
eff_mech_strain_avg_sym[:,20] = eff_mech_strain_avg[:,35]
#Matching Stresses
#Row 0
mech_states_stress_sym[0] = mech_states_stress[0]
mech_states_stress_sym[1] = mech_states_stress[1] + mech_states_stress[6]
mech_states_stress_sym[2] = mech_states_stress[2] + mech_states_stress[12]
mech_states_stress_sym[3] = mech_states_stress[3] + mech_states_stress[18]
mech_states_stress_sym[4] = mech_states_stress[4] + mech_states_stress[24]
mech_states_stress_sym[5] = mech_states_stress[5] + mech_states_stress[30]
#Row 1
mech_states_stress_sym[6] = mech_states_stress[7]
mech_states_stress_sym[7] = mech_states_stress[8] + mech_states_stress[13]
mech_states_stress_sym[8] = mech_states_stress[9] + mech_states_stress[19]
mech_states_stress_sym[9] = mech_states_stress[10] + mech_states_stress[25]
mech_states_stress_sym[10] = mech_states_stress[11] + mech_states_stress[31]
#Row 2
mech_states_stress_sym[11] = mech_states_stress[14]
mech_states_stress_sym[12] = mech_states_stress[15] + mech_states_stress[20]
mech_states_stress_sym[13] = mech_states_stress[16] + mech_states_stress[26]
mech_states_stress_sym[14] = mech_states_stress[17] + mech_states_stress[32]
#Row 3
mech_states_stress_sym[15] = mech_states_stress[21]
mech_states_stress_sym[16] = mech_states_stress[22] + mech_states_stress[27]
mech_states_stress_sym[17] = mech_states_stress[23] + mech_states_stress[33]
#Row 4
mech_states_stress_sym[18] = mech_states_stress[28]
mech_states_stress_sym[19] = mech_states_stress[29] + mech_states_stress[34]
#Row 5
mech_states_stress_sym[20] = mech_states_stress[35]
#Mechanical Loop
eff_mech_vec = np.linalg.lstsq(eff_mech_strain_avg, mech_states_stress)
eff_mech_vec_sym = np.linalg.lstsq(eff_mech_strain_avg_sym, mech_states_stress)
#print eff_mech_vec[0]
A = np.asarray(eff_mech_vec[0])
AA = np.asarray(eff_mech_vec_sym[0])
A1 = np.zeros((6,6))
A2 = np.zeros((6,6))
A2[0,0:6] = AA[0:6]
A2[1,0] = AA[1]
A2[1,1:6] = AA[6:11]
A2[2,0] = AA[2]
A2[2,1] = AA[7]
A2[2,2:6] = AA[11:15]
A2[3,0] = AA[3]
A2[3,1] = AA[8]
A2[3,2] = AA[12]
A2[3,3:6] = AA[15:18]
A2[4,0] = AA[4]
A2[4,1] = AA[9]
A2[4,2] = AA[13]
A2[4,3] = AA[16]
A2[4,4:6] = AA[18:20]
A2[5,0] = AA[5]
A2[5,1] = AA[10]
A2[5,2] = AA[14]
A2[5,3] = AA[17]
A2[5,4] = AA[19]
A2[5,5] = AA[20]
A1[0,0:6] = A[0:6]
A1[1,0:6] = A[6:12]
A1[2,0:6] = A[12:18]
A1[3,0:6] = A[18:24]
A1[4,0:6] = A[24:30]
A1[5,0:6] = A[30:36]
w,v = np.linalg.eig(A1)
#Tranpose to make matrix symmetric in approach 1
A1 = 0.5*(A1 + np.transpose(A1))
w2,v2 = np.linalg.eig(A2)
# print 'Elasticity'
#
# #print 'Independent', A1
# print 'Symmetry', A2
# print 'Eigenvalues'
# #print w
# print w2
################################################################################################################################################
#Thermal Problem
#Thermal Problem and its states
k11_matrix = k_matrix_mat[0,0]
k22_matrix = k_matrix_mat[1,1]
k33_matrix = k_matrix_mat[2,2]
k11_sphere = k_sphere_mat[0,0]
k22_sphere = k_sphere_mat[1,1]
k33_sphere = k_sphere_mat[2,2]
for t in range(0,3):
#zero out the matrices and vectors
Rtemp = np.zeros((NP,1))
Stemp = sps.lil_matrix((NP, NP)) #Stiffness Matrix
Mtemp = sps.lil_matrix((NP, NP)) #Mass Matrix
#Define the load state
#Thermal Load States
#Load State 1: q on bottom z, load state 2: q on top , load state 3: beta on left x, load state 4: beta on right x
#load state 5: beta on back y, load state 6: beta on front y
#Thermal Problem
for e in range(0,Ne):
#avtemp = (sum(T[conn[e,:]])/8)
x1[:] = np.array(nodes[conn[e,:],0])
x2[:] = np.array(nodes[conn[e,:],1])
x3[:] = np.array(nodes[conn[e,:],2])
# Integral 1 - Stiffness Matrix
fS1temp = thermo1_spheres.stiffthermo1(x1, x2, x3, k11_matrix, k22_matrix, k33_matrix,
k11_sphere, k22_sphere, k33_sphere, sphere_table)
for i in range(0, 8):
for j in range(0, 8):
Stemp[conn[e, i], conn[e, j]] = Stemp[conn[e, i], conn[e, j]] + fS1temp[i, j]
if t == 0:
load_state = np.array([beta*Tzero, 0.0, 0.0])
# Lower z Surface - bottom
[Stemp, Mtemp, Rtemp] = thermal_boundary_bottom_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Top Z Surface
[Stemp, Mtemp, Rtemp] = thermal_boundary_top_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Back x surface - near the axis
[Stemp, Mtemp, Rtemp] = thermal_boundary_back_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# front x surface - away from the axis
[Stemp, Mtemp, Rtemp] = thermal_boundary_front_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Left y surface - bottom (z = -1.0)
[Stemp, Mtemp, Rtemp] = thermal_boundary_left_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Right y surface, z = 1.0
[Stemp, Mtemp, Rtemp] = thermal_boundary_right_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
if t == 1:
load_state = np.array([0.0, beta * Tzero, 0.0])
# Lower z Surface - bottom
[Stemp, Mtemp, Rtemp] = thermal_boundary_bottom_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Top Z Surface
[Stemp, Mtemp, Rtemp] = thermal_boundary_top_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Back x surface - near the axis
[Stemp, Mtemp, Rtemp] = thermal_boundary_back_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# front x surface - away from the axis
[Stemp, Mtemp, Rtemp] = thermal_boundary_front_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Left y surface - bottom (z = -1.0)
[Stemp, Mtemp, Rtemp] = thermal_boundary_left_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Right y surface, z = 1.0
[Stemp, Mtemp, Rtemp] = thermal_boundary_right_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
if t == 2:
load_state = np.array([0.0, 0.0, beta * Tzero])
# Lower z Surface - bottom
[Stemp, Mtemp, Rtemp] = thermal_boundary_bottom_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Top Z Surface
[Stemp, Mtemp, Rtemp] = thermal_boundary_top_zz(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Back x surface - near the axis
[Stemp, Mtemp, Rtemp] = thermal_boundary_back_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# front x surface - away from the axis
[Stemp, Mtemp, Rtemp] = thermal_boundary_front_xx(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Left y surface - bottom (z = -1.0)
[Stemp, Mtemp, Rtemp] = thermal_boundary_left_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Right y surface, z = 1.0
[Stemp, Mtemp, Rtemp] = thermal_boundary_right_yy(Nx, nodes, conn, Stemp, Mtemp, Rtemp, load_state)
# Solve the linear system for the thermal problem
stepmattemp = Stemp
stepvectemp = Rtemp
# print Rtemp
Tnew = spsolve(stepmattemp.tocsc(), stepvectemp)
#Changed it here from T_fem[:] = Tnew to see if it goes faster
T_fem = Tnew
# Calculate the new stress state per node - include the temperature derivative on the interior
# take out the interior to calculate the strain/temperature average on the interior only
N_ext = 2 * (Nx - 1) ** 2 + 2 * ((Nx - 1) ** 2 - 2 * (Nx - 1)) + 2 * ((Nx - 1) ** 2 - 2 * (Nx - 1) - 2 * (Nx - 3))
N_int = Ne - N_ext
# Remove outermost layer of elements
for eee in range(1, Nx - 2):
for ee in range(0, Nx - 3):
for e in range(eee * (Nx - 1) ** 2 + ee * (Nx - 1) + (Nx),
eee * (Nx - 1) ** 2 + ee * (Nx - 1) + (Nx + Nx - 3)):
# print 'e', e
Tfemvec1 = np.array(T_fem[conn[e, :]])
strainfull0[e, :] = strainfull1[e, :]
stressfull0[e, :] = stressfull1[e, :]
thermstrainfull0[e, :] = thermstrainfull1[e, :]
plasticfull0[e, :] = plasticfull1[e, :]
x1[:] = np.array(nodes[conn[e, :], 0])
x2[:] = np.array(nodes[conn[e, :], 1])
x3[:] = np.array(nodes[conn[e, :], 2])
uelemvec = np.array(ufullnew[conn[e, :], :])
[strainel, stressel, thermstrainel, plasticel,therm_deriv_el,
therm_flux_el, damage_new] = strain_temp2_spheres.nodes_strains_sphere(x1,x2,x3,uelemvec,Tfemvec1,Tzero,k_matrix_mat,
k_sphere_mat,gamma,delt, damage,damage_stress,yieldstress,
arate,Etensor_matrix,Etensor_sphere, plastic_0, sphere_table)
strainel = strainel.flatten()
stressel = stressel.flatten()
thermstrainel = thermstrainel.flatten()
plasticel = plasticel.flatten()
therm_deriv_el = therm_deriv_el.flatten()
therm_flux_el = therm_flux_el.flatten()
for aa in range(0, len(stressel)):
if strainel[aa] < 10.0 ** -10 and strainel[aa] > -10.0 ** -10:
strainel[aa] = 0.0
if stressel[aa] < 10.0 ** -10 and stressel[aa] > -10.0 ** -10:
stressel[aa] = 0.0
if thermstrainel[aa] < 10.0 ** -10 and thermstrainel[aa] > -10.0 ** -10:
thermstrainel[aa] = 0.0
if plasticel[aa] < 10.0 ** -10 and plasticel[aa] > -10.0 ** -10:
plasticel[aa] = 0.0
for aa in range(0, len(therm_deriv_el)):
if therm_deriv_el[aa] < 10.0 ** -10 and therm_deriv_el[aa] > -10.0 ** -10:
therm_deriv_el[aa] = 0.0
##Dimensions mismatched - might have to transpose them
strainfull1[e, :] = strainel
stressfull1[e, :] = stressel
thermstrainfull1[e, :] = thermstrainel
plasticfull1[e, :] = plasticel
therm_deriv0[e, :] = therm_deriv_el
therm_flux0[e, :] = therm_flux_el
stressmat[conn[e, 0], :] = stressfull1[e, 0:6]
stressmat[conn[e, 1], :] = stressfull1[e, 6:12]
stressmat[conn[e, 2], :] = stressfull1[e, 12:18]
stressmat[conn[e, 3], :] = stressfull1[e, 18:24]
stressmat[conn[e, 4], :] = stressfull1[e, 24:30]
stressmat[conn[e, 5], :] = stressfull1[e, 30:36]
stressmat[conn[e, 6], :] = stressfull1[e, 36:42]
stressmat[conn[e, 7], :] = stressfull1[e, 42:48]
strainmat[conn[e, 0], :] = strainfull1[e, 0:6]
strainmat[conn[e, 1], :] = strainfull1[e, 6:12]
strainmat[conn[e, 2], :] = strainfull1[e, 12:18]
strainmat[conn[e, 3], :] = strainfull1[e, 18:24]
strainmat[conn[e, 4], :] = strainfull1[e, 24:30]
strainmat[conn[e, 5], :] = strainfull1[e, 30:36]
strainmat[conn[e, 6], :] = strainfull1[e, 36:42]
strainmat[conn[e, 7], :] = strainfull1[e, 42:48]
thermstrainmat[conn[e, 0], :] = thermstrainfull1[e, 0:6]
thermstrainmat[conn[e, 1], :] = thermstrainfull1[e, 6:12]
thermstrainmat[conn[e, 2], :] = thermstrainfull1[e, 12:18]
thermstrainmat[conn[e, 3], :] = thermstrainfull1[e, 18:24]
thermstrainmat[conn[e, 4], :] = thermstrainfull1[e, 24:30]
thermstrainmat[conn[e, 5], :] = thermstrainfull1[e, 30:36]
thermstrainmat[conn[e, 6], :] = thermstrainfull1[e, 36:42]
thermstrainmat[conn[e, 7], :] = thermstrainfull1[e, 42:48]
thermderivmat[conn[e, 0], :] = therm_deriv0[e, 0:3]
thermderivmat[conn[e, 1], :] = therm_deriv0[e, 3:6]
thermderivmat[conn[e, 2], :] = therm_deriv0[e, 6:9]
thermderivmat[conn[e, 3], :] = therm_deriv0[e, 9:12]
thermderivmat[conn[e, 4], :] = therm_deriv0[e, 12:15]
thermderivmat[conn[e, 5], :] = therm_deriv0[e, 15:18]
thermderivmat[conn[e, 6], :] = therm_deriv0[e, 18:21]
thermderivmat[conn[e, 7], :] = therm_deriv0[e, 21:24]
thermfluxmat[conn[e, 0], :] = therm_flux0[e, 0:3]
thermfluxmat[conn[e, 1], :] = therm_flux0[e, 3:6]
thermfluxmat[conn[e, 2], :] = therm_flux0[e, 6:9]
thermfluxmat[conn[e, 3], :] = therm_flux0[e, 9:12]
thermfluxmat[conn[e, 4], :] = therm_flux0[e, 12:15]
thermfluxmat[conn[e, 5], :] = therm_flux0[e, 15:18]
thermfluxmat[conn[e, 6], :] = therm_flux0[e, 18:21]
thermfluxmat[conn[e, 7], :] = therm_flux0[e, 21:24]
# print 'Temp', t
#
# print 'calculation time', datetime.now() - startTime
# Calculate the average temperature derivate in each spatial direction
temp_deriv_avg = [np.sum(thermderivmat[:, 0]) / N_int, np.sum(thermderivmat[:, 1]) / N_int,
np.sum(thermderivmat[:, 2]) / N_int]
temp_flux_avg = [np.sum(thermfluxmat[:, 0]) / N_int, np.sum(thermfluxmat[:, 1]) / N_int,
np.sum(thermfluxmat[:, 2]) / N_int]
##t denotes temperature load state
eff_therm_deriv_avg[t * 3 + 0, 0:3] = temp_deriv_avg
eff_therm_deriv_avg[t * 3 + 1, 3:6] = temp_deriv_avg
eff_therm_deriv_avg[t * 3 + 2, 6:9] = temp_deriv_avg
temp_states[(t * 3):(t * 3 + 3)] = temp_flux_avg
################################################################################################################################################
#Effective property calculations with matrices
#Thermal Problem
#Setting Corresponding Conductivity Matrix Elements to 0
#eff_therm_deriv_avg_2 = eff_therm_deriv_avg
eff_therm_deriv_avg[:,1] = 0.0
eff_therm_deriv_avg[:,2] = 0.0
eff_therm_deriv_avg[:,3] = 0.0
eff_therm_deriv_avg[:,5] = 0.0
eff_therm_deriv_avg[:,6] = 0.0
eff_therm_deriv_avg[:,7] = 0.0
#Thermal Loop
eff_temp_vec = np.linalg.lstsq(eff_therm_deriv_avg, temp_states)
#eff_temp_vec_2 = np.linalg.lstsq(eff_therm_deriv_avg_2, temp_states)
# print 'Thermal'
# print eff_temp_vec[0]
KK_mat = np.zeros((3,3))
KK_0 = np.asarray(eff_temp_vec[0])
KK_mat[0,0:3] = KK_0[0:3]
KK_mat[1,0:3] = KK_0[3:6]
KK_mat[2,0:3] = KK_0[6:9]
return KK_mat, A2
################################################################################################################################################
#
#
# import numpy as np
#
# #Material Properties
#
# #Fiber and Matrix
# k11_fiber = 0.0 #W/mk
# k22_fiber = 0.0 #W/mk
# k33_fiber = 3.0 #W/mk
#
# k_fiber_mat = np.array([[k11_fiber, 0.0, 0.0],
# [0.0, k22_fiber, 0.0],
# [0.0, 0.0, k33_fiber]])
#
# k11_matrix = 137.0
# k22_matrix = 15.0
# k33_matrix = 221.0
#
# k_matrix_mat = np.array([[k11_matrix, 0.0, 0.0],
# [0.0, k22_matrix, 0.0],
# [0.0, 0.0, k33_matrix]])
#
# #Elasticity forces and parameters
#
# c11 = 7.0/3.0 #107.3e9 #Gpa
# c12 = 1.0/3.0 #28.3e9 #Gpa
# c44 = 1.0 #60.9e9 #Gpa
#
# #Fiber
# k_fiber = 260.0 #Gpa
# u_fiber = 40.0 #Gpa
# c11_fiber = (k_fiber + (4.0/3.0)*u_fiber)
# c12_fiber = (k_fiber - (2.0/3.0)*u_fiber)
# c44_fiber = u_fiber
#
# #Matrix
# k_matrix = 30.0 #Gpa
# u_matrix = 25.0 #Gpa
# c11_matrix = (k_matrix + (4.0/3.0)*u_matrix)
# c12_matrix = (k_matrix - (2.0/3.0)*u_matrix)
# c44_matrix = u_matrix
#
#
#
# Etensor_fiber = np.array([[c11_fiber, c12_fiber, c12_fiber, 0.0, 0.0, 0.0],
# [c12_fiber, c11_fiber, c12_fiber, 0.0, 0.0, 0.0],
# [c12_fiber, c12_fiber, c11_fiber, 0.0, 0.0, 0.0],
# [0.0, 0.0, 0.0, c44_fiber, 0.0, 0.0],
# [0.0, 0.0, 0.0, 0.0, c44_fiber, 0.0],
# [0.0, 0.0, 0.0, 0.0, 0.0, c44_fiber]])
#
# Etensor_matrix = np.array([[c11_matrix, c12_matrix, c12_matrix, 0.0, 0.0, 0.0],
# [c12_matrix, c11_matrix, c12_matrix, 0.0, 0.0, 0.0],
# [c12_matrix, c12_matrix, c11_matrix, 0.0, 0.0, 0.0],
# [0.0, 0.0, 0.0, c44_matrix, 0.0, 0.0],
# [0.0, 0.0, 0.0, 0.0, c44_matrix, 0.0],
# [0.0, 0.0, 0.0, 0.0, 0.0, c44_matrix]])
#
# fiber_table = np.zeros((150,4))
#
# beta = 1.01
#
# Nx = 9
#
#
# [Kmat_eff, Etensor_eff] = effective_prop_fem(Nx, k_matrix_mat, k_fiber_mat,Etensor_matrix, Etensor_fiber, fiber_table, beta)
| 36.551741
| 148
| 0.468617
| 10,963
| 76,649
| 3.162456
| 0.035483
| 0.068791
| 0.016095
| 0.015691
| 0.8242
| 0.754052
| 0.741102
| 0.720508
| 0.712432
| 0.702134
| 0
| 0.087286
| 0.341596
| 76,649
| 2,097
| 149
| 36.551741
| 0.599711
| 0.104776
| 0
| 0.7864
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0112
| false
| 0
| 0.0056
| 0
| 0.028
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
cc884e697f8df06bc86e3b68fa656b1034afc16a
| 143
|
py
|
Python
|
Tweet2Story/text2story/__init__.py
|
LIAAD/Tweet2Story
|
1340c01bbc68915d51d67973f87325265b71f2dd
|
[
"MIT"
] | 5
|
2021-07-29T15:53:32.000Z
|
2022-03-07T02:46:52.000Z
|
Tweet2Story/text2story/__init__.py
|
LIAAD/Tweet2Story
|
1340c01bbc68915d51d67973f87325265b71f2dd
|
[
"MIT"
] | null | null | null |
Tweet2Story/text2story/__init__.py
|
LIAAD/Tweet2Story
|
1340c01bbc68915d51d67973f87325265b71f2dd
|
[
"MIT"
] | 1
|
2022-01-30T17:46:51.000Z
|
2022-01-30T17:46:51.000Z
|
from text2story.annotators import load
def start():
load()
# Export to out of the package
from text2story.core.narrative import Narrative
| 20.428571
| 47
| 0.776224
| 20
| 143
| 5.55
| 0.75
| 0.252252
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016667
| 0.160839
| 143
| 7
| 47
| 20.428571
| 0.908333
| 0.195804
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 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
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
cca3fec443b3563d762248b3b7dff3ffc980de7e
| 63
|
py
|
Python
|
python/pytest/src/code1.py
|
JeyDi/docker-starter-kit
|
5af5ee3fe11b48772c367ce34de70e66d51f54f4
|
[
"MIT"
] | 1
|
2022-03-10T09:16:55.000Z
|
2022-03-10T09:16:55.000Z
|
python/pytest/src/code1.py
|
JeyDi/docker-starter-kit
|
5af5ee3fe11b48772c367ce34de70e66d51f54f4
|
[
"MIT"
] | null | null | null |
python/pytest/src/code1.py
|
JeyDi/docker-starter-kit
|
5af5ee3fe11b48772c367ce34de70e66d51f54f4
|
[
"MIT"
] | null | null | null |
def inc(x):
return x + 1
def dinc(x):
return x - 1
| 12.6
| 17
| 0.492063
| 12
| 63
| 2.583333
| 0.5
| 0.451613
| 0.516129
| 0.580645
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051282
| 0.380952
| 63
| 5
| 18
| 12.6
| 0.74359
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 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
| 1
| 1
| 0
|
0
| 8
|
ccd0bf39955f4d1be7075f95e5810edf591f9564
| 1,810
|
py
|
Python
|
classifiers/constants.py
|
NikhilMahadevan/analyze-tremor-bradykinesia-PD
|
df0dc881a6e4ceb3f1d02c09b65175c931337403
|
[
"MIT"
] | 13
|
2020-01-23T20:14:19.000Z
|
2022-03-07T02:52:39.000Z
|
classifiers/constants.py
|
NikhilMahadevan/analyze-tremor-bradykinesia-PD
|
df0dc881a6e4ceb3f1d02c09b65175c931337403
|
[
"MIT"
] | null | null | null |
classifiers/constants.py
|
NikhilMahadevan/analyze-tremor-bradykinesia-PD
|
df0dc881a6e4ceb3f1d02c09b65175c931337403
|
[
"MIT"
] | 9
|
2020-04-29T08:52:39.000Z
|
2022-02-27T00:42:19.000Z
|
'''
This file contains all constants used in creation of the analytics.
'''
GAIT_FEATURE_SELECTION = ['x_bp_filt_[0.25, 3.0]_signal_entropy',
'x_bp_filt_[0.25, 3.0]_y_bp_filt_[0.25, 3.0]_corr_coef',
'x_bp_filt_[0.25, 3.0]_z_bp_filt_[0.25, 3.0]_corr_coef',
'y_bp_filt_[0.25, 3.0]_z_bp_filt_[0.25, 3.0]_corr_coef',
'x_bp_filt_[0.25, 3.0]_rms', 'y_bp_filt_[0.25, 3.0]_rms',
'z_bp_filt_[0.25, 3.0]_rms', 'x_bp_filt_[0.25, 3.0]_range',
'y_bp_filt_[0.25, 3.0]_range', 'z_bp_filt_[0.25, 3.0]_range',
'x_bp_filt_[0.25, 3.0]_dom_freq_value',
'x_bp_filt_[0.25, 3.0]_dom_freq_magnitude',
'x_bp_filt_[0.25, 3.0]_spectral_flatness',
'x_bp_filt_[0.25, 3.0]_spectral_entropy',
'y_bp_filt_[0.25, 3.0]_spectral_flatness',
'y_bp_filt_[0.25, 3.0]_spectral_entropy',
'z_bp_filt_[0.25, 3.0]_dom_freq_value',
'z_bp_filt_[0.25, 3.0]_dom_freq_magnitude',
'z_bp_filt_[0.25, 3.0]_spectral_flatness',
'z_bp_filt_[0.25, 3.0]_spectral_entropy', 'PC1_[0.25, 3.0]_dom_freq_value',
'x_bp_filt_[0.25, 3.0]_mean_cross_rate',
'y_bp_filt_[0.25, 3.0]_mean_cross_rate',
'z_bp_filt_[0.25, 3.0]_mean_cross_rate']
TREMOR_FEATURE_SELECTION = ['x_bp_filt_[0.25, 3.5]_range',
'z_bp_filt_[3.5, 7.5]_rms',
'x_bp_filt_[0.25, 3.5]_rms',
'PC1_[3.5, 7.5]_rms',
'y_bp_filt_[3.5, 7.5]_spectral_flatness',
'y_bp_filt_[3.5, 7.5]_spectral_entropy',
'z_bp_filt_[3.5, 7.5]_spectral_entropy',
'x_bp_filt_[0.25, 3.5]_spectral_flatness',
'x_bp_filt_[0.25, 3.5]_spectral_entropy',
'y_bp_filt_[0.25, 3.5]_spectral_flatness',
'z_bp_filt_[0.25, 3.5]_dom_freq_value',
'z_bp_filt_[0.25, 3.5]_spectral_flatness',
'PC1_[3.5, 7.5]_spectral_entropy' ,
'PC1_[0.25, 3.5]_dom_freq_value',
'PC1_[0.25, 3.5]_spectral_flatness' ,
'x_bp_filt_[3.5, 7.5]_signal_entropy',
'y_bp_filt_[0.25, 3.5]_signal_entropy',
'z_bp_filt_[0.25, 3.5]_signal_entropy']
| 42.093023
| 76
| 0.720994
| 406
| 1,810
| 2.682266
| 0.100985
| 0.220386
| 0.139578
| 0.289256
| 0.921028
| 0.89899
| 0.87236
| 0.730028
| 0.337006
| 0.139578
| 0
| 0.133773
| 0.079006
| 1,810
| 43
| 77
| 42.093023
| 0.519496
| 0.037017
| 0
| 0
| 0
| 0.078947
| 0.848502
| 0.248848
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 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
| 7
|
ccd664d7798063cc1c3a97b9de4fc26f07fb3435
| 7,923
|
py
|
Python
|
cradmin_legacy/tests/test_automodelform/test_automodelform.py
|
appressoas/cradmin_legacy
|
b9d024299333dd04c87c1031bd5be5778aa7f1f1
|
[
"BSD-3-Clause"
] | null | null | null |
cradmin_legacy/tests/test_automodelform/test_automodelform.py
|
appressoas/cradmin_legacy
|
b9d024299333dd04c87c1031bd5be5778aa7f1f1
|
[
"BSD-3-Clause"
] | 17
|
2018-03-07T15:52:42.000Z
|
2022-03-12T01:07:06.000Z
|
cradmin_legacy/tests/test_automodelform/test_automodelform.py
|
appressoas/cradmin_legacy
|
b9d024299333dd04c87c1031bd5be5778aa7f1f1
|
[
"BSD-3-Clause"
] | 1
|
2018-07-23T22:13:45.000Z
|
2018-07-23T22:13:45.000Z
|
import datetime
import htmls
from django import test
from django.core.files.base import ContentFile
from model_bakery import baker
from cradmin_legacy import automodelform
from cradmin_legacy.apps.cradmin_imagearchive.tests.helpers import create_image
from cradmin_legacy.tests.test_automodelform.cradmin_automodelform_testapp.models import AutoFormTestModel
from cradmin_legacy import datetimeutils
from cradmin_legacy.python2_compatibility import mock
class TestModelForm(test.TestCase):
def test_datetime_field_without_default_no_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datetimefield_without_default']
selector = htmls.S(MyModelForm().as_ul())
self.assertEqual(
'',
selector.one('input[type="text"][name="datetimefield_without_default"]').get('value', ''))
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_datetime_field_without_default_with_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datetimefield_without_default']
autoformtestmodelobject = baker.make(
'cradmin_automodelform_testapp.AutoFormTestModel',
datetimefield_without_default=datetimeutils.default_timezone_datetime(2015, 12, 24, 12, 0, 0))
selector = htmls.S(MyModelForm(instance=autoformtestmodelobject).as_ul())
self.assertEqual(
'2015-12-24 12:00:00',
selector.one('input[type="text"][name="datetimefield_without_default"]')['value'])
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_datetime_field_with_default_no_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datetimefield_with_default']
selector = htmls.S(MyModelForm().as_ul())
self.assertNotEqual(
'',
selector.one('input[type="text"][name="datetimefield_with_default"]')['value'])
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_datetime_field_with_default_with_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datetimefield_with_default']
autoformtestmodelobject = baker.make(
'cradmin_automodelform_testapp.AutoFormTestModel',
datetimefield_with_default=datetimeutils.default_timezone_datetime(2015, 12, 24, 12, 0, 0))
selector = htmls.S(MyModelForm(instance=autoformtestmodelobject).as_ul())
self.assertEqual(
'2015-12-24 12:00:00',
selector.one('input[type="text"][name="datetimefield_with_default"]')['value'])
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_date_field_without_default_no_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datefield_without_default']
selector = htmls.S(MyModelForm().as_ul())
self.assertEqual(
'',
selector.one('input[type="text"][name="datefield_without_default"]').get('value', ''))
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_date_field_without_default_with_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datefield_without_default']
autoformtestmodelobject = baker.make(
'cradmin_automodelform_testapp.AutoFormTestModel',
datefield_without_default=datetime.date(2015, 12, 24))
selector = htmls.S(MyModelForm(instance=autoformtestmodelobject).as_ul())
self.assertEqual(
'2015-12-24',
selector.one('input[type="text"][name="datefield_without_default"]')['value'])
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_date_field_with_default_no_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datefield_with_default']
selector = htmls.S(MyModelForm().as_ul())
self.assertNotEqual(
'',
selector.one('input[type="text"][name="datefield_with_default"]')['value'])
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_date_field_with_default_with_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['datefield_with_default']
autoformtestmodelobject = baker.make(
'cradmin_automodelform_testapp.AutoFormTestModel',
datefield_with_default=datetime.date(2015, 12, 24))
selector = htmls.S(MyModelForm(instance=autoformtestmodelobject).as_ul())
self.assertEqual(
'2015-12-24',
selector.one('input[type="text"][name="datefield_with_default"]')['value'])
self.assertTrue(selector.exists('.cradmin-legacy-datepicker-triggerbutton'))
def test_file_field_without_default_no_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['filefield']
selector = htmls.S(MyModelForm().as_ul())
self.assertTrue(selector.exists('input[type="file"][name="filefield"]'))
self.assertTrue(selector.exists('.cradmin-legacy-filewidget'))
def test_file_field_without_default_with_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['filefield']
autoformtestmodelobject = baker.make(
'cradmin_automodelform_testapp.AutoFormTestModel',
filefield='test.txt')
selector = htmls.S(MyModelForm(instance=autoformtestmodelobject).as_ul())
self.assertTrue(selector.exists('input[type="file"][name="filefield"]'))
self.assertTrue(selector.exists('.cradmin-legacy-filewidget'))
def test_image_field_without_default_no_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['imagefield']
selector = htmls.S(MyModelForm(view=mock.MagicMock()).as_ul())
self.assertTrue(selector.exists('input[type="file"][name="imagefield"]'))
self.assertTrue(selector.exists('.cradmin-legacy-imagewidget'))
def test_image_field_without_default_with_instance(self):
class MyModelForm(automodelform.ModelForm):
class Meta:
model = AutoFormTestModel
fields = ['imagefield']
autoformtestmodelobject = baker.make(
'cradmin_automodelform_testapp.AutoFormTestModel')
testimage = create_image(200, 100)
autoformtestmodelobject.imagefield.save('testimage.png', ContentFile(testimage))
mockview = mock.MagicMock()
mockview.request.build_absolute_uri.return_value = 'testimage.png'
with self.settings(CRADMIN_LEGACY_IMAGEUTILS_IMAGETYPE_MAP={}):
selector = htmls.S(MyModelForm(view=mockview,
instance=autoformtestmodelobject).as_ul())
self.assertTrue(selector.exists('input[type="file"][name="imagefield"]'))
self.assertTrue(selector.exists('.cradmin-legacy-imagewidget'))
| 45.017045
| 106
| 0.669696
| 760
| 7,923
| 6.771053
| 0.125
| 0.045472
| 0.068403
| 0.087058
| 0.863195
| 0.851924
| 0.844151
| 0.809755
| 0.809755
| 0.732997
| 0
| 0.014785
| 0.223148
| 7,923
| 175
| 107
| 45.274286
| 0.821284
| 0
| 0
| 0.719178
| 0
| 0
| 0.208002
| 0.186546
| 0
| 0
| 0
| 0
| 0.164384
| 1
| 0.082192
| false
| 0
| 0.068493
| 0
| 0.321918
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
aea63211700e5060e09c0a298150794e1ba525b4
| 8,693
|
py
|
Python
|
qbay_test/frontend/test_registration.py
|
HamizJamil/group22-cisc327
|
b92c2a81fbf8d4d7b4be360bf242fff98e0c9bfd
|
[
"MIT"
] | null | null | null |
qbay_test/frontend/test_registration.py
|
HamizJamil/group22-cisc327
|
b92c2a81fbf8d4d7b4be360bf242fff98e0c9bfd
|
[
"MIT"
] | 1
|
2022-03-01T19:09:51.000Z
|
2022-03-01T19:09:51.000Z
|
qbay_test/frontend/test_registration.py
|
HamizJamil/group22-cisc327
|
b92c2a81fbf8d4d7b4be360bf242fff98e0c9bfd
|
[
"MIT"
] | null | null | null |
from seleniumbase import BaseCase
from qbay_test.conftest import base_url
from qbay.models import User
from cryptography import fernet
class FrontEndProductUpdateTest(BaseCase):
# SMOKE TEST FOR REGISTER
# check if submit and fill works
def test_register_1(self, *_):
new_user = None
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john123") # insert the text fields
self.type("#user_email", "john123@test.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying successful registration
new_user = User.query.filter_by(email="john123@test.com").first()
assert new_user is not None
# OUTPUT PARTITIONING TEST
# empty email
def test_register_2(self, *_):
new_user = None
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john1234") # insert the text fields
self.type("#user_email", "")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john1234").first()
assert new_user is None
# empty password
def test_register_3(self, *_):
new_user = None
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12345") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12345").first()
assert new_user is None
# check email format
def test_register_4(self, *_):
new_user = None
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12346") # insert the text fields
self.type("#user_email", "john1234")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12346").first()
assert new_user is None
# password less than 6 char
def test_register_5(self, *_):
new_user = None
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12346") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "Joh1!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12346").first()
assert new_user is None
# password has no special char
def test_register_6(self, *_):
new_user = None
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12346") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12346").first()
assert new_user is None
# password has no lower case
def test_register_7(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12346") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "JOHN123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12346").first()
assert new_user is None
# username is empty
def test_register_8(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="").first()
assert new_user is None
# username is not alphanumeric only
def test_register_9(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12346!") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12346!").first()
assert new_user is None
# username has space at suffix
def test_register_10(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john12346 ") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john12346 ").first()
assert new_user is None
# username has space at prefix
def test_register_11(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", " john12346") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name=" john12346").first()
assert new_user is None
# username longer than 20 char
def test_register_12(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john1234678910111213555") # insert text field
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="john1234678" +
"910111213555").first()
assert new_user is None
# username less than 3 char
new_user = None
def test_register_13(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "j") # insert the text fields
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user isn't made
new_user = User.query.filter_by(user_name="j").first()
assert new_user is None
# repeated email
def test_register_14(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john1234567") # insert the text fields
self.type("#user_email", "john123@test.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying successful registration
new_user = User.query.filter_by(user_name="john1234567").first()
assert new_user is None
# BOUNDARY TESTS
# 19 character username
def test_register_15(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "john123456789123456") # insert the text field
self.type("#user_email", "john1234@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user is made
new_user = User.query.filter_by(user_name="john12345678" +
"9123456").first()
assert new_user is not None
# 3 character username
def test_register_16(self, *_):
self.open(base_url + '/registration') # open up the page
self.type("#user_name", "jo3") # insert the text fields
self.type("#user_email", "john12345@gmail.com")
self.type("#user_pass", "John123!")
self.find_element("#Submit").click() # click save to submit
# verifying user is made
new_user = User.query.filter_by(user_name="jo3").first()
assert new_user is not None
| 42.612745
| 79
| 0.623605
| 1,132
| 8,693
| 4.612191
| 0.103357
| 0.073549
| 0.110324
| 0.045968
| 0.840644
| 0.828385
| 0.809998
| 0.788355
| 0.766137
| 0.766137
| 0
| 0.047517
| 0.249511
| 8,693
| 203
| 80
| 42.82266
| 0.752759
| 0.21178
| 0
| 0.647887
| 0
| 0
| 0.220449
| 0.003398
| 0
| 0
| 0
| 0
| 0.112676
| 1
| 0.112676
| false
| 0.112676
| 0.028169
| 0
| 0.15493
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
9da86b783a364ed2e0cf69eb6b78744d0d183982
| 2,923
|
py
|
Python
|
tests/autocomplete/test_bash_install.py
|
igrek51/glue
|
6726ba977a21e58b354a5c97f68639f84184be7a
|
[
"MIT"
] | 4
|
2019-07-04T20:41:06.000Z
|
2020-04-23T18:17:33.000Z
|
tests/autocomplete/test_bash_install.py
|
igrek51/cliglue
|
6726ba977a21e58b354a5c97f68639f84184be7a
|
[
"MIT"
] | null | null | null |
tests/autocomplete/test_bash_install.py
|
igrek51/cliglue
|
6726ba977a21e58b354a5c97f68639f84184be7a
|
[
"MIT"
] | null | null | null |
import os
from pathlib import Path
from nuclear import *
from nuclear.utils.files import script_real_path
from nuclear import shell
from tests.asserts import MockIO
def test_bash_install_twice():
app_name = 'nuclear_test_dupa123'
with MockIO('--install-bash', 'nuclear_test_dupa123') as mockio:
CliBuilder().run()
assert 'Link installed' in mockio.output()
assert 'Autocompleter has been installed' in mockio.output()
assert os.path.islink(f'/usr/bin/{app_name}')
assert os.path.realpath(f'/usr/bin/{app_name}') == script_real_path()
assert os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
with MockIO('--install-bash', 'nuclear_test_dupa123') as mockio:
CliBuilder().run()
assert 'Link installed' in mockio.output()
assert 'Autocompleter has been installed' in mockio.output()
assert os.path.islink(f'/usr/bin/{app_name}')
assert os.path.realpath(f'/usr/bin/{app_name}') == script_real_path()
assert os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
shell(f'sudo rm -f /usr/bin/{app_name}')
shell(f'sudo rm -f /etc/bash_completion.d/nuclear_{app_name}.sh')
assert not os.path.exists(f'/usr/bin/{app_name}')
assert not os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
def test_autocomplete_install_explicit_name():
app_name = 'nuclear_test_dupa123'
with MockIO('--install-autocomplete', 'nuclear_test_dupa123') as mockio:
CliBuilder().run()
assert 'Autocompleter has been installed' in mockio.output()
assert os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
completion_script = Path(f'/etc/bash_completion.d/nuclear_{app_name}.sh').read_text()
assert '''COMPREPLY=($(nuclear_test_dupa123 --autocomplete "${COMP_LINE}" ${COMP_CWORD}))''' \
in completion_script
assert '''complete -o filenames -F _autocomplete_1446250409 nuclear_test_dupa123''' in completion_script
shell(f'sudo rm -f /etc/bash_completion.d/nuclear_{app_name}.sh')
assert not os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
def test_autocomplete_install_implicit_name():
app_name = 'glue'
with MockIO('--install-autocomplete') as mockio:
CliBuilder().run()
assert 'Autocompleter has been installed' in mockio.output()
assert os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
completion_script = Path(f'/etc/bash_completion.d/nuclear_{app_name}.sh').read_text()
assert '''COMPREPLY=($(glue --autocomplete "${COMP_LINE}" ${COMP_CWORD}))''' in completion_script
assert '''complete -o filenames -F _autocomplete_70451630 glue''' in completion_script
shell(f'sudo rm -f /etc/bash_completion.d/nuclear_{app_name}.sh')
assert not os.path.exists(f'/etc/bash_completion.d/nuclear_{app_name}.sh')
| 45.671875
| 112
| 0.702361
| 411
| 2,923
| 4.77129
| 0.150852
| 0.074962
| 0.048955
| 0.110148
| 0.848037
| 0.834778
| 0.828149
| 0.828149
| 0.784804
| 0.784804
| 0
| 0.015873
| 0.159425
| 2,923
| 63
| 113
| 46.396825
| 0.782255
| 0
| 0
| 0.612245
| 0
| 0
| 0.43859
| 0.222716
| 0
| 0
| 0
| 0
| 0.469388
| 1
| 0.061224
| false
| 0
| 0.122449
| 0
| 0.183673
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d196fe284ad032ef37877323ea43e98f7dcce666
| 10,037
|
py
|
Python
|
tests/test_utils.py
|
metehancekic/adversarial-attacks-pytorch
|
0e58364eec161867157e60e186f14cd6e2e42ca8
|
[
"MIT"
] | 4
|
2020-05-03T07:25:49.000Z
|
2021-08-25T04:07:20.000Z
|
tests/test_utils.py
|
metehancekic/adversarial-attacks-pytorch
|
0e58364eec161867157e60e186f14cd6e2e42ca8
|
[
"MIT"
] | 1
|
2020-07-01T01:03:02.000Z
|
2020-07-01T01:03:02.000Z
|
tests/test_utils.py
|
metehancekic/adversarial-attacks-pytorch
|
0e58364eec161867157e60e186f14cd6e2e42ca8
|
[
"MIT"
] | 2
|
2020-07-01T00:52:19.000Z
|
2021-04-12T08:22:20.000Z
|
import os
from tqdm import tqdm
import numpy as np
import time
import matplotlib.pyplot as plt
from torchvision import datasets, transforms
import torch.nn.functional as F
import torch.nn as nn
import torch
from models import ResNet, LeNet
from deepillusion.torchattacks.analysis import get_perturbation_stats
def save_image(model, test_loader, attack_params, attack_args, attack_func="PGD"):
device = model.parameters().__next__().device
data, target = iter(test_loader).__next__()
data, target = data.to(device), target.to(device)
perturbs = attack_func(x=data, y_true=target, **attack_args)
data_adv = data + perturbs
output = model(data_adv)
pred = output.argmax(dim=1, keepdim=True)
fig = plt.figure()
plt.imshow(data.permute(0, 2, 3, 1).cpu().numpy()[0])
plt.axis("off")
plt.savefig(str(target.cpu().numpy()[0])+".pdf")
fig = plt.figure()
plt.imshow(data_adv.permute(0, 2, 3, 1).cpu().numpy()[0])
plt.axis("off")
plt.savefig(str(pred.cpu().numpy()[0])+".pdf")
fig = plt.figure()
plt.imshow(10 * (perturbs+attack_params["eps"]).permute(0, 2, 3, 1).cpu().numpy()[0])
plt.axis("off")
plt.savefig("perturb"+".pdf")
def initiate_cifar10(random_model=False):
use_cuda = torch.cuda.is_available()
device = torch.device("cuda" if use_cuda else "cpu")
kwargs = {'num_workers': 2, 'pin_memory': True} if use_cuda else {}
transform = transforms.Compose([
transforms.ToTensor(),
])
trainset = datasets.CIFAR10(root='./data',
train=True, download=True, transform=transform)
train_loader = torch.utils.data.DataLoader(trainset,
batch_size=128,
shuffle=True, **kwargs)
testset = datasets.CIFAR10(root='./data',
train=False, download=True, transform=transform)
test_loader = torch.utils.data.DataLoader(testset,
batch_size=200,
shuffle=False, **kwargs)
classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']
def show_images(images, labels):
num_img = len(images)
np_images = [img.numpy() for img in images]
fig, axes = plt.subplots(nrows=1, ncols=num_img, figsize=(20, 45))
for i, ax in enumerate(axes.flat):
ax.set_axis_off()
im = ax.imshow(np_images[i], vmin=0., vmax=1.)
ax.set_title(f'{labels[i]}')
plt.axis("off")
fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,
wspace=0.1, hspace=0.25)
plt.show()
images, labels = iter(train_loader).next()
num_img_to_plot = 9
images = [images[i].permute(1, 2, 0) for i in range(num_img_to_plot)]
labels = [classes[i] for i in labels[:num_img_to_plot]]
# show_images(images, labels)
model = ResNet().to(device)
model_2 = ResNet().to(device)
if not random_model:
if not use_cuda:
model.load_state_dict(torch.load(
"checkpoints/cifar/resnet_NT_ep_100.pt", map_location='cpu'))
model_2.load_state_dict(torch.load(
"checkpoints/cifar/resnet_RFGSM_eps_8_a_10_ep_100.pt", map_location='cpu'))
else:
model.load_state_dict(torch.load("checkpoints/cifar/resnet_NT_ep_100.pt"))
model_2.load_state_dict(torch.load(
"checkpoints/cifar/resnet_RFGSM_eps_8_a_10_ep_100.pt"))
model.eval()
model_2.eval()
test_loss, test_acc = test(model, test_loader)
print(f'Clean \t loss: {test_loss:.4f} \t acc: {test_acc:.4f}')
return model, model_2, train_loader, test_loader
def initiate_mnist(dataset, random_model=False):
use_cuda = torch.cuda.is_available()
device = torch.device("cuda" if use_cuda else "cpu")
kwargs = {"num_workers": 1, "pin_memory": True} if use_cuda else {}
if dataset == "mnist":
train_loader = torch.utils.data.DataLoader(
datasets.MNIST(
root='./data',
train=True,
download=True,
transform=transforms.Compose([transforms.ToTensor()]),
),
batch_size=50,
shuffle=True,
**kwargs
)
test_loader = torch.utils.data.DataLoader(
datasets.MNIST(
'./data',
train=False,
download=True,
transform=transforms.Compose([transforms.ToTensor()]),
),
batch_size=10000,
shuffle=False,
**kwargs
)
elif dataset == "fashion":
train_loader = torch.utils.data.DataLoader(
datasets.FashionMNIST(
root='./data',
train=True,
download=True,
transform=transforms.Compose([transforms.ToTensor()]),
),
batch_size=50,
shuffle=True,
**kwargs
)
test_loader = torch.utils.data.DataLoader(
datasets.FashionMNIST(
'./data',
train=False,
download=True,
transform=transforms.Compose([transforms.ToTensor()]),
),
batch_size=10000,
shuffle=False,
**kwargs
)
classes = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0']
def show_images(images, labels):
num_img = len(images)
np_images = [img.numpy() for img in images]
fig, axes = plt.subplots(nrows=1, ncols=num_img, figsize=(20, 45))
for i, ax in enumerate(axes.flat):
ax.set_axis_off()
im = ax.imshow(np_images[i], vmin=0., vmax=1.)
ax.set_title(f'{labels[i]}')
plt.axis("off")
fig.subplots_adjust(bottom=0.1, top=0.9, left=0.1, right=0.8,
wspace=0.1, hspace=0.25)
plt.show()
images, labels = iter(train_loader).next()
num_img_to_plot = 9
images = [images[i].permute(1, 2, 0) for i in range(num_img_to_plot)]
labels = [classes[i] for i in labels[:num_img_to_plot]]
# show_images(images, labels)
model = LeNet().to(device)
model_2 = LeNet().to(device)
if not random_model:
if not use_cuda:
model.load_state_dict(torch.load("checkpoints/" + dataset +
"/CNN.pt", map_location='cpu'))
model_2.load_state_dict(torch.load(
"checkpoints/" + dataset + "/mnist_PGD_e_20.pt", map_location='cpu'))
else:
model.load_state_dict(torch.load("checkpoints/" + dataset + "/CNN.pt"))
model_2.load_state_dict(torch.load("checkpoints/" + dataset + "/mnist_PGD_e_20.pt"))
# model.load_state_dict(torch.load("checkpoints/CNN.pt"))
model.eval()
model_2.eval()
test_loss, test_acc = test(model, test_loader)
print(f'Clean \t loss: {test_loss:.4f} \t acc: {test_acc:.4f}')
return model, model_2, train_loader, test_loader
def test_adversarial(model, test_loader, attack_params, attack_args, attack_func="PGD"):
device = model.parameters().__next__().device
for key in attack_params:
print(key + ': ' + str(attack_params[key]))
model.eval()
test_loss = 0
test_correct = 0
test_load = tqdm(
iterable=test_loader,
unit="batch",
leave=True)
for data, target in test_load:
data, target = data.to(device), target.to(device)
perturbs = attack_func(x=data, y_true=target, **attack_args)
data_adv = data + perturbs
perturbation_properties = get_perturbation_stats(
data, data_adv, attack_params["eps"], verbose=True)
output = model(data_adv)
cross_ent = nn.CrossEntropyLoss()
test_loss += cross_ent(output, target).item() * data_adv.size(0)
pred = output.argmax(dim=1, keepdim=True)
test_correct += pred.eq(target.view_as(pred)).sum().item()
test_size = len(test_loader.dataset)
return test_loss/test_size, test_correct/test_size
def test_targeted_adversarial(model, test_loader, attack_params, attack_args, attack_func="PGD"):
device = model.parameters().__next__().device
for key in attack_params:
print(key + ': ' + str(attack_params[key]))
model.eval()
test_loss = 0
test_correct = 0
test_load = tqdm(
iterable=test_loader,
unit="batch",
leave=True)
for data, target in test_load:
data, target = data.to(device), target.to(device)
perturbs = attack_func(x=data, y_target=(target-1) % 10, **attack_args)
data_adv = data + perturbs
perturbation_properties = get_perturbation_stats(
data, data_adv, attack_params["eps"], verbose=True)
output = model(data_adv)
cross_ent = nn.CrossEntropyLoss()
test_loss += cross_ent(output, target).item() * data_adv.size(0)
pred = output.argmax(dim=1, keepdim=True)
test_correct += pred.eq(target.view_as(pred)).sum().item()
test_size = len(test_loader.dataset)
return test_loss/test_size, test_correct/test_size
def test(model, test_loader):
model.eval()
device = model.parameters().__next__().device
test_loss = 0
test_correct = 0
with torch.no_grad():
for data, target in test_loader:
data, target = data.to(device), target.to(device)
output = model(data)
cross_ent = nn.CrossEntropyLoss()
test_loss += cross_ent(output, target).item() * data.size(0)
pred = output.argmax(dim=1, keepdim=True)
test_correct += pred.eq(target.view_as(pred)).sum().item()
test_size = len(test_loader.dataset)
return test_loss/test_size, test_correct/test_size
| 32.482201
| 97
| 0.588323
| 1,272
| 10,037
| 4.434748
| 0.158805
| 0.031909
| 0.020741
| 0.028718
| 0.867222
| 0.844531
| 0.817231
| 0.767772
| 0.76139
| 0.74969
| 0
| 0.021739
| 0.280462
| 10,037
| 308
| 98
| 32.587662
| 0.759346
| 0.011059
| 0
| 0.710526
| 0
| 0
| 0.063898
| 0.017738
| 0
| 0
| 0
| 0
| 0
| 1
| 0.035088
| false
| 0
| 0.048246
| 0
| 0.105263
| 0.017544
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
ae0a8afb6c580a89065720abd4dc66e97eea0980
| 6,657
|
py
|
Python
|
usage/testAndExamples/basic_getEndpoints_functionality.py
|
marbotte/colSpList
|
413cf556105b160d8c9bd67e26fa6b8b9f8becad
|
[
"MIT"
] | null | null | null |
usage/testAndExamples/basic_getEndpoints_functionality.py
|
marbotte/colSpList
|
413cf556105b160d8c9bd67e26fa6b8b9f8becad
|
[
"MIT"
] | null | null | null |
usage/testAndExamples/basic_getEndpoints_functionality.py
|
marbotte/colSpList
|
413cf556105b160d8c9bd67e26fa6b8b9f8becad
|
[
"MIT"
] | null | null | null |
import requests
from pprint import pprint as pp
api_url="http://colsplist.herokuapp.com"
endpoint="/testEndem"
toSend1={'canonicalname':'Accipiter collaris'}
response = requests.get(api_url+endpoint, json=toSend1)
pp(response.json())
toSend2={'scientificname':'Odontophorus strophium (Gould, 1844)'}
response = requests.get(api_url+endpoint, json=toSend2)
pp(response.json())
toSend3={'gbifkey':2480593}
response = requests.get(api_url+endpoint, json=toSend3)
pp(response.json())
toSend4 = {'canonicalname':'Anas andium'}
response = requests.get(api_url+endpoint, json=toSend4)
pp(response.json())
toSend5 = {'canonicalname':'Accipiter colloris'}
response = requests.get(api_url+endpoint, json=toSend5)
pp(response.json())
toSend6={'canonicalname':'Elaeis guineensis'}
response = requests.get(api_url+endpoint, json=toSend6)
pp(response.json())
toSend7={'canonicalname':'Espeletia grandiflora'}
response = requests.get(api_url+endpoint, json=toSend7)
pp(response.json())
toSend8={'canonicalname':'Asriwendosa machibibus'}
response = requests.get(api_url+endpoint, json=toSend8)
pp(response.json())
toSend9={}
response = requests.get(api_url+endpoint, json=toSend9)
pp(response.json())
endpoint="/testEndem/list"
ListToSend={'list':[toSend1,toSend2,toSend3,toSend4,toSend5,toSend6,toSend7,toSend8,toSend9]}
response = requests.post(api_url+endpoint, json=ListToSend)
pp(response.json())
endpoint="/testExot"
toSend1={'canonicalname':'Gymnocorymbus ternetzi'}
response = requests.get(api_url+endpoint, json=toSend1)
pp(response.json())
toSend2={'scientificname':'Rosa chinensis Jacq.'}
response = requests.get(api_url+endpoint, json=toSend2)
pp(response.json())
toSend3={'gbifkey':5190769}
response = requests.get(api_url+endpoint, json=toSend3)
pp(response.json())
toSend4 = {'canonicalname':'Cnidoscolus chayamansa'}
response = requests.get(api_url+endpoint, json=toSend4)
pp(response.json())
toSend5 = {'canonicalname':'Rosa chinansis'}
response = requests.get(api_url+endpoint, json=toSend5)
pp(response.json())
toSend6={'canonicalname':'Licania glauca'}
response = requests.get(api_url+endpoint, json=toSend6)
pp(response.json())
toSend7={'canonicalname':'Espeletia grandiflora'}
response = requests.get(api_url+endpoint, json=toSend7)
pp(response.json())
toSend8={'canonicalname':'Asriwendosa machibibus'}
response = requests.get(api_url+endpoint, json=toSend8)
pp(response.json())
toSend9={}
response = requests.get(api_url+endpoint, json=toSend9)
pp(response.json())
endpoint="/testExot/list"
ListToSend={'list':[toSend1,toSend2,toSend3,toSend4,toSend5,toSend6,toSend7,toSend8,toSend9]}
response = requests.post(api_url+endpoint, json=ListToSend)
pp(response.json())
endpoint="/testThreat"
toSend1={'canonicalname':'Podocarpus guatemalensis'}
response = requests.get(api_url+endpoint, json=toSend1)
pp(response.json())
toSend2={'scientificname':'Puya ochroleuca Betancur & Callejas'}
response = requests.get(api_url+endpoint, json=toSend2)
pp(response.json())
toSend3={'gbifkey':5789077}
response = requests.get(api_url+endpoint, json=toSend3)
pp(response.json())
toSend4 = {'canonicalname':'Ptychoglossus danieli'}
response = requests.get(api_url+endpoint, json=toSend4)
pp(response.json())
toSend5 = {'canonicalname':'Espeletia paypana'}
response = requests.get(api_url+endpoint, json=toSend5)
pp(response.json())
toSend6={'canonicalname':'Tangara johannae'}
response = requests.get(api_url+endpoint, json=toSend6)
pp(response.json())
toSend7={'canonicalname':'Espeletia grandiflora'}
response = requests.get(api_url+endpoint, json=toSend7)
pp(response.json())
toSend8={'canonicalname':'Asriwendosa machibibus'}
response = requests.get(api_url+endpoint, json=toSend8)
pp(response.json())
toSend9={}
response = requests.get(api_url+endpoint, json=toSend9)
pp(response.json())
endpoint="/testThreat/list"
ListToSend={'list':[toSend1,toSend2,toSend3,toSend4,toSend5,toSend6,toSend7,toSend8,toSend9]}
response = requests.post(api_url+endpoint, json=ListToSend)
pp(response.json())
endpoint="/listEndem"
response = requests.get(api_url+endpoint)
content=response.json()
len(content)
pp(content[0:4])
onlyPasserine={'childrenOf':'Passeriformes'}
response = requests.get(api_url+endpoint,json=onlyPasserine)
content=response.json()
len(content)
pp(content[0:4])
onlyAbies={'childrenOf':'Abies'}
response = requests.get(api_url+endpoint,json=onlyAbies)
pp(response.json())
endpoint="/listExot"
response = requests.get(api_url+endpoint)
content=response.json()
len(content)
pp(content[0:4])
onlyPasserine={'childrenOf':'Passeriformes'}
response = requests.get(api_url+endpoint,json=onlyPasserine)
content=response.json()
len(content)
pp(content[0:4])
onlyAbies={'childrenOf':'Abies'}
response = requests.get(api_url+endpoint,json=onlyAbies)
pp(response.json())
endpoint="/listThreat"
response = requests.get(api_url+endpoint)
content=response.json()
len(content)
pp(content[0:4])
onlyPasserine={'childrenOf':'Passeriformes'}
response = requests.get(api_url+endpoint,json=onlyPasserine)
content=response.json()
len(content)
pp(content[0:4])
onlyAbies={'childrenOf':'Abies'}
response = requests.get(api_url+endpoint,json=onlyAbies)
pp(response.json())
endpoint = "/tax"
toSend={'cd_tax':150}
response = requests.get(api_url+endpoint, json=toSend)
pp(response.json())
toSend={'scientificname':"Urochloa brizantha (A.Rich.) R.D.Webster"}
response = requests.get(api_url+endpoint, json=toSend)
pp(response.json())
toSend={'canonicalname':'Rottboellia cochinchinensis'}
response = requests.get(api_url+endpoint, json=toSend)
pp(response.json())
toSend={'canonicalname':'Amanita caesarea'}
response = requests.get(api_url+endpoint, json=toSend)
pp(response.json())
toSend={'canonicalname':'Inventadus inexistus'}
response = requests.get(api_url+endpoint, json=toSend)
pp(response.json())
endpoint="/listTax"
response = requests.get(api_url+endpoint)
content=response.json()
len(content)
pp(content[0:4])
onlyBivalve={'childrenOf':'Bivalvia'}
response = requests.get(api_url+endpoint,json=onlyBivalve)
content=response.json()
len(content)
pp(content[0:9])
endpoint = "/listReferences"
response = requests.get(api_url+endpoint)
content=response.json()
len(content)
pp(content[0:9])
onlyExot={'onlyExot':True}
response = requests.get(api_url+endpoint, json=onlyExot)
content=response.json()
len(content)
pp(content[0:9])
onlyThreat={'onlyThreat':True}
response = requests.get(api_url+endpoint, json=onlyThreat)
content=response.json()
len(content)
pp(content[0:9])
onlyEndem={'onlyEndem':True}
response = requests.get(api_url+endpoint, json=onlyEndem)
content=response.json()
len(content)
pp(content[0:9])
| 26.951417
| 93
| 0.770768
| 842
| 6,657
| 6.032067
| 0.131829
| 0.060248
| 0.137822
| 0.203583
| 0.849577
| 0.842489
| 0.842489
| 0.835204
| 0.810986
| 0.779287
| 0
| 0.02139
| 0.065946
| 6,657
| 246
| 94
| 27.060976
| 0.795433
| 0
| 0
| 0.75
| 0
| 0
| 0.184167
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.032609
| 0.01087
| 0
| 0.01087
| 0.005435
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 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
| 8
|
ae0d57d67c4acccdae0de11ee79c55e0eb843452
| 602,834
|
py
|
Python
|
PyReview.py
|
0xhughes/PyReview
|
deab849479d435fd80b47adbca692a50c6d709ab
|
[
"MIT"
] | null | null | null |
PyReview.py
|
0xhughes/PyReview
|
deab849479d435fd80b47adbca692a50c6d709ab
|
[
"MIT"
] | null | null | null |
PyReview.py
|
0xhughes/PyReview
|
deab849479d435fd80b47adbca692a50c6d709ab
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python2
try:
import time
import os
import subprocess
from PIL import Image
import shlex
import base64
import hashlib
from cStringIO import StringIO
except ImportError:
print "Missing a module! Please ensure you have time, os, subprocess, Image, shlex, base64 and haslib modules available to your python installation."
except KeyboardInterrupt:
print "Reporting cancelled."
##################################################
#Partition selection "menu".
try:
filelist = []
cnt = 0
voll = []
fdisk = subprocess.Popen(["fdisk", "-l"], stdout=subprocess.PIPE)
fdisk = fdisk.stdout.readlines()
for item in fdisk:
if item.startswith("/dev"):
litem = item.split(' ')
cnt = cnt + 1
voll.append(str(cnt)+": "+litem[0])
errm = 0
chk = 0
while chk == 0:
chkcnt = 1
os.system('clear')
if errm == 1:
print "Incorrect input, please try again."
print 'Select a partition by entering its corresponding number.'
print '\n'
for item in voll:
print item
chkcnt = chkcnt + 1
print '\n'
selection = raw_input("Selection Number: ")
ocnt = 0
for c in selection:
if 48 <= ord(c) <= 57:
ocnt = ocnt + 1
if ocnt == len(selection):
if int(selection) in range(1,chkcnt):
chk = 1
errm = 1
for item in voll:
if item.startswith(selection):
vol = item[3:len(item)]
subprocess.call('clear')
ptarg = vol
cnt = 0
##################################################
#Make mount point and mount target drive to it.
sane = 1
prevmnt = '/tmp/prevmnt'+str(cnt)
while sane == 1:
if os.path.isdir(prevmnt):
cnt = cnt+1
prevmnt = '/tmp/prevmnt'+str(cnt)
else:
try:
os.makedirs(prevmnt)
except OSError:
os.system('clear')
print "Could not create mount point. This can be sometimes caused by a broken mounting caused from a previous mount of your target partition. If the issue persists try running the script again or consider rebooting."
break
sane = 0
subprocess.call(['mount', '-o', 'ro,noatime,noexec,noauto', ptarg, prevmnt], stderr=open(os.devnull, 'wb'))
except KeyboardInterrupt:
print "Report cancelled."
#################################################
#Get file list of pictures for later processing.
try:
cnt2 = 0
for dirname, dirnames, filenames in os.walk(prevmnt+'/'):
for filename in filenames:
if filename.endswith('.jpg') or filename.endswith('.jpeg') or filename.endswith('.bmp') or filename.endswith('.png') or filename.endswith('.gif'):
jpg = os.path.join(dirname, filename)
filelist.append(jpg)
cnt2 = cnt2 + 1
subprocess.call('clear', shell=True)
print str(cnt2)+' potential graphic files detected.'
except KeyboardInterrupt:
print "Caught keyboard interrupt. Mounted evidence and script generated files are likely located in /tmp/ under prevramX and prevmntX directories."
##################################################
#Mount a RAM disk and create folder structure for the web pages/thumbnails used to create the report.
cnt = 0
sane = 1
prevram = '/tmp/prevram'+str(cnt)
while sane == 1:
if os.path.isdir(prevram):
cnt = cnt+1
prevram = '/tmp/prevram'+str(cnt)
else:
os.makedirs(prevram)
sane = 0
subprocess.call('chmod 777 '+prevram, shell=True)
subprocess.call('mount -t tmpfs -o size=512M tmpfs '+prevram, shell=True)
os.makedirs(prevram+'/thumbs')
os.makedirs(prevram+'/html')
os.makedirs(prevram+'/js')
subprocess.call('chmod 777 '+prevram+'/thumbs', shell=True)
subprocess.call('chmod 777 '+prevram+'/html', shell=True)
subprocess.call('chmod 777 '+prevram+'/js', shell=True)
##################################################
#Creating thumbnails and report pages. The large ammount of base64 data is the javascript libraries needed for the report page to work correctly.
size = 128, 128
cnt = 1
ecnt = 0
repm = ''
ptit = 0
span = ''
eList = []
onejsn = 'basic.js'
onejsd = 'function demoTwoPageDocument() {
	var doc = new jsPDF();
	doc.text(20, 20, 'Hello world!');
	doc.text(20, 30, 'This is client-side Javascript, pumping out a PDF.');
	doc.addPage();
	doc.text(20, 20, 'Do you like that?');
	
	// Save the PDF
	doc.save('Test.pdf');
}

function demoLandscape() {
	var doc = new jsPDF('landscape');
	doc.text(20, 20, 'Hello landscape world!');

	// Save the PDF
	doc.save('Test.pdf');
}

function demoFontSizes() {
	var doc = new jsPDF();
	doc.setFontSize(22);
	doc.text(20, 20, 'This is a title');
	
	doc.setFontSize(16);
	doc.text(20, 30, 'This is some normal sized text underneath.');
	
	doc.save('Test.pdf');
}

function demoFontTypes() {
	var doc = new jsPDF();
	
	doc.text(20, 20, 'This is the default font.');
	
	doc.setFont("courier");
	doc.setFontType("normal");
	doc.text(20, 30, 'This is courier normal.');
	
	doc.setFont("times");
	doc.setFontType("italic");
	doc.text(20, 40, 'This is times italic.');
	
	doc.setFont("helvetica");
	doc.setFontType("bold");
	doc.text(20, 50, 'This is helvetica bold.');
	
	doc.setFont("courier");
	doc.setFontType("bolditalic");
	doc.text(20, 60, 'This is courier bolditalic.');
	
	doc.save('Test.pdf');
}

function demoTextColors() {
	var doc = new jsPDF();

	doc.setTextColor(100);
	doc.text(20, 20, 'This is gray.');
	
	doc.setTextColor(150);
	doc.text(20, 30, 'This is light gray.');
	
	doc.setTextColor(255,0,0);
	doc.text(20, 40, 'This is red.');
	
	doc.setTextColor(0,255,0);
	doc.text(20, 50, 'This is green.');
	
	doc.setTextColor(0,0,255);
	doc.text(20, 60, 'This is blue.');
	
	// Output as Data URI
	doc.output('datauri');
}

function demoMetadata() {
	var doc = new jsPDF();
	doc.text(20, 20, 'This PDF has a title, subject, author, keywords and a creator.');
	
	// Optional - set properties on the document
	doc.setProperties({
		title: 'Title',
		subject: 'This is the subject',
		author: 'James Hall',
		keywords: 'generated, javascript, web 2.0, ajax',
		creator: 'MEEE'
	});
	
	doc.save('Test.pdf');
}

function demoUserInput() {	
	var name = prompt('What is your name?');
	var multiplier = prompt('Enter a number:');
	multiplier = parseInt(multiplier);

	var doc = new jsPDF();
	doc.setFontSize(22);	
	doc.text(20, 20, 'Questions');
	doc.setFontSize(16);
	doc.text(20, 30, 'This belongs to: ' + name);
	
	for(var i = 1; i <= 12; i ++) {
		doc.text(20, 30 + (i * 10), i + ' x ' + multiplier + ' = ___');
	}
	
	doc.addPage();
	doc.setFontSize(22);
	doc.text(20, 20, 'Answers');
	doc.setFontSize(16);
	
	for(var i = 1; i <= 12; i ++) {
		doc.text(20, 30 + (i * 10), i + ' x ' + multiplier + ' = ' + (i * multiplier));
	}	
	doc.save('Test.pdf');
	
}

function demoRectangles() {	
	var doc = new jsPDF();

	doc.rect(20, 20, 10, 10); // empty square

	doc.rect(40, 20, 10, 10, 'F'); // filled square
	
	doc.setDrawColor(255,0,0);
	doc.rect(60, 20, 10, 10); // empty red square
	
	doc.setDrawColor(255,0,0);
	doc.rect(80, 20, 10, 10, 'FD'); // filled square with red borders
	
	doc.setDrawColor(0);
	doc.setFillColor(255,0,0);
	doc.rect(100, 20, 10, 10, 'F'); // filled red square
	
	doc.setDrawColor(0);
	doc.setFillColor(255,0,0);
	doc.rect(120, 20, 10, 10, 'FD'); // filled red square with black borders

	doc.setDrawColor(0);
	doc.setFillColor(255, 255, 255);
	doc.roundedRect(140, 20, 10, 10, 3, 3, 'FD'); //  Black sqaure with rounded corners

	doc.save('Test.pdf');
}

function demoLines() {	
	var doc = new jsPDF();

	doc.line(20, 20, 60, 20); // horizontal line
		
	doc.setLineWidth(0.5);
	doc.line(20, 25, 60, 25);
	
	doc.setLineWidth(1);
	doc.line(20, 30, 60, 30);
	
	doc.setLineWidth(1.5);
	doc.line(20, 35, 60, 35);
	
	doc.setDrawColor(255,0,0); // draw red lines
	
	doc.setLineWidth(0.1);
	doc.line(100, 20, 100, 60); // vertical line
	
	doc.setLineWidth(0.5);
	doc.line(105, 20, 105, 60);
	
	doc.setLineWidth(1);
	doc.line(110, 20, 110, 60);
	
	doc.setLineWidth(1.5);
	doc.line(115, 20, 115, 60);
	
	// Output as Data URI
	doc.output('datauri');
}

function demoCircles() {
	var doc = new jsPDF();

	doc.ellipse(40, 20, 10, 5);

	doc.setFillColor(0,0,255);
	doc.ellipse(80, 20, 10, 5, 'F');
	
	doc.setLineWidth(1);
	doc.setDrawColor(0);
	doc.setFillColor(255,0,0);
	doc.circle(120, 20, 5, 'FD');

	doc.save('Test.pdf');
}

function demoTriangles() {
	var doc = new jsPDF();

	doc.triangle(60, 100, 60, 120, 80, 110, 'FD');
	
	doc.setLineWidth(1);
	doc.setDrawColor(255,0,0);
	doc.setFillColor(0,0,255);
	doc.triangle(100, 100, 110, 100, 120, 130, 'FD');
	
	doc.save('Test.pdf');
}

function demoImages() {
	// Because of security restrictions, getImageFromUrl will
	// not load images from other domains.  Chrome has added
	// security restrictions that prevent it from loading images
	// when running local files.  Run with: chromium --allow-file-access-from-files --allow-file-access
	// to temporarily get around this issue.
	var getImageFromUrl = function(url, callback) {
		var img = new Image, data, ret={data: null, pending: true};
		
		img.onError = function() {
			throw new Error('Cannot load image: "'+url+'"');
		}
		img.onload = function() {
			var canvas = document.createElement('canvas');
			document.body.appendChild(canvas);
			canvas.width = img.width;
			canvas.height = img.height;

			var ctx = canvas.getContext('2d');
			ctx.drawImage(img, 0, 0);
			// Grab the image as a jpeg encoded in base64, but only the data
			data = canvas.toDataURL('image/jpeg').slice('data:image/jpeg;base64,'.length);
			// Convert the data to binary form
			data = atob(data)
			document.body.removeChild(canvas);

			ret['data'] = data;
			ret['pending'] = false;
			if (typeof callback === 'function') {
				callback(data);
			}
		}
		img.src = url;

		return ret;
	}

	// Since images are loaded asyncronously, we must wait to create
	// the pdf until we actually have the image data.
	// If we already had the jpeg image binary data loaded into
	// a string, we create the pdf without delay.
	var createPDF = function(imgData) {
		var doc = new jsPDF();

		doc.addImage(imgData, 'JPEG', 10, 10, 50, 50);
		doc.addImage(imgData, 'JPEG', 70, 10, 100, 120);

		doc.save('output.pdf');

	}

	getImageFromUrl('thinking-monkey.jpg', createPDF);
}

function demoStringSplitting() {

	var pdf = new jsPDF('p','in','letter')
	, sizes = [12, 16, 20]
	, fonts = [['Times','Roman'],['Helvetica',''], ['Times','Italic']]
	, font, size, lines
	, margin = 0.5 // inches on a 8.5 x 11 inch sheet.
	, verticalOffset = margin
	, loremipsum = 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Phasellus id eros turpis. Vivamus tempor urna vitae sapien mollis molestie. Vestibulum in lectus non enim bibendum laoreet at at libero. Etiam malesuada erat sed sem blandit in varius orci porttitor. Sed at sapien urna. Fusce augue ipsum, molestie et adipiscing at, varius quis enim. Morbi sed magna est, vel vestibulum urna. Sed tempor ipsum vel mi pretium at elementum urna tempor. Nulla faucibus consectetur felis, elementum venenatis mi mollis gravida. Aliquam mi ante, accumsan eu tempus vitae, viverra quis justo.\n\nProin feugiat augue in augue rhoncus eu cursus tellus laoreet. Pellentesque eu sapien at diam porttitor venenatis nec vitae velit. Donec ultrices volutpat lectus eget vehicula. Nam eu erat mi, in pulvinar eros. Mauris viverra porta orci, et vehicula lectus sagittis id. Nullam at magna vitae nunc fringilla posuere. Duis volutpat malesuada ornare. Nulla in eros metus. Vivamus a posuere libero.'

	// Margins:
	pdf.setDrawColor(0, 255, 0)
		.setLineWidth(1/72)
		.line(margin, margin, margin, 11 - margin)
		.line(8.5 - margin, margin, 8.5-margin, 11-margin)

	// the 3 blocks of text
	for (var i in fonts){
		if (fonts.hasOwnProperty(i)) {
			font = fonts[i]
			size = sizes[i]

			lines = pdf.setFont(font[0], font[1])
						.setFontSize(size)
						.splitTextToSize(loremipsum, 7.5)
			// Don't want to preset font, size to calculate the lines?
			// .splitTextToSize(text, maxsize, options)
			// allows you to pass an object with any of the following:
			// {
			// 	'fontSize': 12
			// 	, 'fontStyle': 'Italic'
			// 	, 'fontName': 'Times'
			// }
			// Without these, .splitTextToSize will use current / default
			// font Family, Style, Size.
			console.log(lines);
			pdf.text(0.5, verticalOffset + size / 72, lines)

			verticalOffset += (lines.length + 0.5) * size / 72
		}
	}

	pdf.save('Test.pdf');
}

function demoFromHTML() {
	var pdf = new jsPDF('p','in','letter')

	// source can be HTML-formatted string, or a reference
	// to an actual DOM element from which the text will be scraped.
	, source = $('#fromHTMLtestdiv')[0]

	// we support special element handlers. Register them with jQuery-style 
	// ID selector for either ID or node name. ("#iAmID", "div", "span" etc.)
	// There is no support for any other type of selectors 
	// (class, of compound) at this time.
	, specialElementHandlers = {
		// element with id of "bypass" - jQuery style selector
		'#bypassme': function(element, renderer){
			// true = "handled elsewhere, bypass text extraction"
			return true
		}
	}

	// all coords and widths are in jsPDF instance's declared units
	// 'inches' in this case
	pdf.fromHTML(
		source // HTML string or DOM elem ref.
		, 0.5 // x coord
		, 0.5 // y coord
		, {
			'width':7.5 // max width of content on PDF
			, 'elementHandlers': specialElementHandlers
		}
	)

	pdf.save('Test.pdf');
}'
twojsn = 'jspdf.plugin.standard_fonts_metrics.js'
twojsd = '/** @preserve 
jsPDF standard_fonts_metrics plugin
Copyright (c) 2012 Willow Systems Corporation, willow-systems.com
MIT license.
*/
/**
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 * 
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 * 
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 * ====================================================================
 */

;(function(API) {
'use strict'

/*
# reference (Python) versions of 'compress' and 'uncompress'
# only 'uncompress' function is featured lower as JavaScript
# if you want to unit test "roundtrip", just transcribe the reference
# 'compress' function from Python into JavaScript

def compress(data):

	keys =   '0123456789abcdef'
	values = 'klmnopqrstuvwxyz'
	mapping = dict(zip(keys, values))
	vals = []
	for key in data.keys():
		value = data[key]
		try:
			keystring = hex(key)[2:]
			keystring = keystring[:-1] + mapping[keystring[-1:]]
		except:
			keystring = key.join(["'","'"])
			#print('Keystring is %s' % keystring)

		try:
			if value < 0:
				valuestring = hex(value)[3:]
				numberprefix = '-'
			else:
				valuestring = hex(value)[2:]
				numberprefix = ''
			valuestring = numberprefix + valuestring[:-1] + mapping[valuestring[-1:]]
		except:
			if type(value) == dict:
				valuestring = compress(value)
			else:
				raise Exception("Don't know what to do with value type %s" % type(value))

		vals.append(keystring+valuestring)
	
	return '{' + ''.join(vals) + '}'

def uncompress(data):

	decoded = '0123456789abcdef'
	encoded = 'klmnopqrstuvwxyz'
	mapping = dict(zip(encoded, decoded))

	sign = +1
	stringmode = False
	stringparts = []

	output = {}

	activeobject = output
	parentchain = []

	keyparts = ''
	valueparts = ''

	key = None

	ending = set(encoded)

	i = 1
	l = len(data) - 1 # stripping starting, ending {}
	while i != l: # stripping {}
		# -, {, }, ' are special.

		ch = data[i]
		i += 1

		if ch == "'":
			if stringmode:
				# end of string mode
				stringmode = False
				key = ''.join(stringparts)
			else:
				# start of string mode
				stringmode = True
				stringparts = []
		elif stringmode == True:
			#print("Adding %s to stringpart" % ch)
			stringparts.append(ch)

		elif ch == '{':
			# start of object
			parentchain.append( [activeobject, key] )
			activeobject = {}
			key = None
			#DEBUG = True
		elif ch == '}':
			# end of object
			parent, key = parentchain.pop()
			parent[key] = activeobject
			key = None
			activeobject = parent
			#DEBUG = False

		elif ch == '-':
			sign = -1
		else:
			# must be number
			if key == None:
				#debug("In Key. It is '%s', ch is '%s'" % (keyparts, ch))
				if ch in ending:
					#debug("End of key")
					keyparts += mapping[ch]
					key = int(keyparts, 16) * sign
					sign = +1
					keyparts = ''
				else:
					keyparts += ch
			else:
				#debug("In value. It is '%s', ch is '%s'" % (valueparts, ch))
				if ch in ending:
					#debug("End of value")
					valueparts += mapping[ch]
					activeobject[key] = int(valueparts, 16) * sign
					sign = +1
					key = None
					valueparts = ''
				else:
					valueparts += ch

			#debug(activeobject)

	return output

*/

/**
Uncompresses data compressed into custom, base16-like format. 
@public
@function
@param
@returns {Type}
*/
var uncompress = function(data){

	var decoded = '0123456789abcdef'
	, encoded = 'klmnopqrstuvwxyz'
	, mapping = {}

	for (var i = 0; i < encoded.length; i++){
		mapping[encoded[i]] = decoded[i]
	}

	var undef
	, output = {}
	, sign = 1
	, stringparts // undef. will be [] in string mode
	
	, activeobject = output
	, parentchain = []
	, parent_key_pair
	, keyparts = ''
	, valueparts = ''
	, key // undef. will be Truthy when Key is resolved.
	, datalen = data.length - 1 // stripping ending }
	, ch

	i = 1 // stripping starting {
	
	while (i != datalen){
		// - { } ' are special.

		ch = data[i]
		i += 1

		if (ch == "'"){
			if (stringparts){
				// end of string mode
				key = stringparts.join('')
				stringparts = undef				
			} else {
				// start of string mode
				stringparts = []				
			}
		} else if (stringparts){
			stringparts.push(ch)
		} else if (ch == '{'){
			// start of object
			parentchain.push( [activeobject, key] )
			activeobject = {}
			key = undef
		} else if (ch == '}'){
			// end of object
			parent_key_pair = parentchain.pop()
			parent_key_pair[0][parent_key_pair[1]] = activeobject
			key = undef
			activeobject = parent_key_pair[0]
		} else if (ch == '-'){
			sign = -1
		} else {
			// must be number
			if (key === undef) {
				if (mapping.hasOwnProperty(ch)){
					keyparts += mapping[ch]
					key = parseInt(keyparts, 16) * sign
					sign = +1
					keyparts = ''
				} else {
					keyparts += ch
				}
			} else {
				if (mapping.hasOwnProperty(ch)){
					valueparts += mapping[ch]
					activeobject[key] = parseInt(valueparts, 16) * sign
					sign = +1
					key = undef
					valueparts = ''
				} else {
					valueparts += ch					
				}
			}
		}
	} // end while

	return output
}

// encoding = 'Unicode' 
// NOT UTF8, NOT UTF16BE/LE, NOT UCS2BE/LE. NO clever BOM behavior
// Actual 16bit char codes used.
// no multi-byte logic here

// Unicode characters to WinAnsiEncoding:
// {402: 131, 8211: 150, 8212: 151, 8216: 145, 8217: 146, 8218: 130, 8220: 147, 8221: 148, 8222: 132, 8224: 134, 8225: 135, 8226: 149, 8230: 133, 8364: 128, 8240:137, 8249: 139, 8250: 155, 710: 136, 8482: 153, 338: 140, 339: 156, 732: 152, 352: 138, 353: 154, 376: 159, 381: 142, 382: 158}
// as you can see, all Unicode chars are outside of 0-255 range. No char code conflicts.
// this means that you can give Win cp1252 encoded strings to jsPDF for rendering directly
// as well as give strings with some (supported by these fonts) Unicode characters and 
// these will be mapped to win cp1252 
// for example, you can send char code (cp1252) 0x80 or (unicode) 0x20AC, getting "Euro" glyph displayed in both cases.

var encodingBlock = {
	'codePages': ['WinAnsiEncoding']
	, 'WinAnsiEncoding': uncompress("{19m8n201n9q201o9r201s9l201t9m201u8m201w9n201x9o201y8o202k8q202l8r202m9p202q8p20aw8k203k8t203t8v203u9v2cq8s212m9t15m8w15n9w2dw9s16k8u16l9u17s9z17x8y17y9y}")
}
, encodings = {'Unicode':{
	'Courier': encodingBlock
	, 'Courier-Bold': encodingBlock
	, 'Courier-BoldOblique': encodingBlock
	, 'Courier-Oblique': encodingBlock
	, 'Helvetica': encodingBlock
	, 'Helvetica-Bold': encodingBlock
	, 'Helvetica-BoldOblique': encodingBlock
	, 'Helvetica-Oblique': encodingBlock
	, 'Times-Roman': encodingBlock
	, 'Times-Bold': encodingBlock
	, 'Times-BoldItalic': encodingBlock
	, 'Times-Italic': encodingBlock
//	, 'Symbol'
//	, 'ZapfDingbats'
}}
/** 
Resources:
Font metrics data is reprocessed derivative of contents of
"Font Metrics for PDF Core 14 Fonts" package, which exhibits the following copyright and license:

Copyright (c) 1989, 1990, 1991, 1992, 1993, 1997 Adobe Systems Incorporated. All Rights Reserved.

This file and the 14 PostScript(R) AFM files it accompanies may be used,
copied, and distributed for any purpose and without charge, with or without
modification, provided that all copyright notices are retained; that the AFM
files are not distributed without this file; that all modifications to this
file or any of the AFM files are prominently noted in the modified file(s);
and that this paragraph is not modified. Adobe Systems has no responsibility
or obligation to support the use of the AFM files.

*/
, fontMetrics = {'Unicode':{
	// all sizing numbers are n/fontMetricsFractionOf = one font size unit
	// this means that if fontMetricsFractionOf = 1000, and letter A's width is 476, it's
	// width is 476/1000 or 47.6% of its height (regardless of font size)
	// At this time this value applies to "widths" and "kerning" numbers.

	// char code 0 represents "default" (average) width - use it for chars missing in this table.
	// key 'fof' represents the "fontMetricsFractionOf" value

	'Courier-Oblique': uncompress("{'widths'{k3w'fof'6o}'kerning'{'fof'-6o}}")
	, 'Times-BoldItalic': uncompress("{'widths'{k3o2q4ycx2r201n3m201o6o201s2l201t2l201u2l201w3m201x3m201y3m2k1t2l2r202m2n2n3m2o3m2p5n202q6o2r1w2s2l2t2l2u3m2v3t2w1t2x2l2y1t2z1w3k3m3l3m3m3m3n3m3o3m3p3m3q3m3r3m3s3m203t2l203u2l3v2l3w3t3x3t3y3t3z3m4k5n4l4m4m4m4n4m4o4s4p4m4q4m4r4s4s4y4t2r4u3m4v4m4w3x4x5t4y4s4z4s5k3x5l4s5m4m5n3r5o3x5p4s5q4m5r5t5s4m5t3x5u3x5v2l5w1w5x2l5y3t5z3m6k2l6l3m6m3m6n2w6o3m6p2w6q2l6r3m6s3r6t1w6u1w6v3m6w1w6x4y6y3r6z3m7k3m7l3m7m2r7n2r7o1w7p3r7q2w7r4m7s3m7t2w7u2r7v2n7w1q7x2n7y3t202l3mcl4mal2ram3man3mao3map3mar3mas2lat4uau1uav3maw3way4uaz2lbk2sbl3t'fof'6obo2lbp3tbq3mbr1tbs2lbu1ybv3mbz3mck4m202k3mcm4mcn4mco4mcp4mcq5ycr4mcs4mct4mcu4mcv4mcw2r2m3rcy2rcz2rdl4sdm4sdn4sdo4sdp4sdq4sds4sdt4sdu4sdv4sdw4sdz3mek3mel3mem3men3meo3mep3meq4ser2wes2wet2weu2wev2wew1wex1wey1wez1wfl3rfm3mfn3mfo3mfp3mfq3mfr3tfs3mft3rfu3rfv3rfw3rfz2w203k6o212m6o2dw2l2cq2l3t3m3u2l17s3x19m3m}'kerning'{cl{4qu5kt5qt5rs17ss5ts}201s{201ss}201t{cks4lscmscnscoscpscls2wu2yu201ts}201x{2wu2yu}2k{201ts}2w{4qx5kx5ou5qx5rs17su5tu}2x{17su5tu5ou}2y{4qx5kx5ou5qx5rs17ss5ts}'fof'-6ofn{17sw5tw5ou5qw5rs}7t{cksclscmscnscoscps4ls}3u{17su5tu5os5qs}3v{17su5tu5os5qs}7p{17su5tu}ck{4qu5kt5qt5rs17ss5ts}4l{4qu5kt5qt5rs17ss5ts}cm{4qu5kt5qt5rs17ss5ts}cn{4qu5kt5qt5rs17ss5ts}co{4qu5kt5qt5rs17ss5ts}cp{4qu5kt5qt5rs17ss5ts}6l{4qu5ou5qw5rt17su5tu}5q{ckuclucmucnucoucpu4lu}5r{ckuclucmucnucoucpu4lu}7q{cksclscmscnscoscps4ls}6p{4qu5ou5qw5rt17sw5tw}ek{4qu5ou5qw5rt17su5tu}el{4qu5ou5qw5rt17su5tu}em{4qu5ou5qw5rt17su5tu}en{4qu5ou5qw5rt17su5tu}eo{4qu5ou5qw5rt17su5tu}ep{4qu5ou5qw5rt17su5tu}es{17ss5ts5qs4qu}et{4qu5ou5qw5rt17sw5tw}eu{4qu5ou5qw5rt17ss5ts}ev{17ss5ts5qs4qu}6z{17sw5tw5ou5qw5rs}fm{17sw5tw5ou5qw5rs}7n{201ts}fo{17sw5tw5ou5qw5rs}fp{17sw5tw5ou5qw5rs}fq{17sw5tw5ou5qw5rs}7r{cksclscmscnscoscps4ls}fs{17sw5tw5ou5qw5rs}ft{17su5tu}fu{17su5tu}fv{17su5tu}fw{17su5tu}fz{cksclscmscnscoscps4ls}}}")
	, 'Helvetica-Bold': uncompress("{'widths'{k3s2q4scx1w201n3r201o6o201s1w201t1w201u1w201w3m201x3m201y3m2k1w2l2l202m2n2n3r2o3r2p5t202q6o2r1s2s2l2t2l2u2r2v3u2w1w2x2l2y1w2z1w3k3r3l3r3m3r3n3r3o3r3p3r3q3r3r3r3s3r203t2l203u2l3v2l3w3u3x3u3y3u3z3x4k6l4l4s4m4s4n4s4o4s4p4m4q3x4r4y4s4s4t1w4u3r4v4s4w3x4x5n4y4s4z4y5k4m5l4y5m4s5n4m5o3x5p4s5q4m5r5y5s4m5t4m5u3x5v2l5w1w5x2l5y3u5z3r6k2l6l3r6m3x6n3r6o3x6p3r6q2l6r3x6s3x6t1w6u1w6v3r6w1w6x5t6y3x6z3x7k3x7l3x7m2r7n3r7o2l7p3x7q3r7r4y7s3r7t3r7u3m7v2r7w1w7x2r7y3u202l3rcl4sal2lam3ran3rao3rap3rar3ras2lat4tau2pav3raw3uay4taz2lbk2sbl3u'fof'6obo2lbp3xbq3rbr1wbs2lbu2obv3rbz3xck4s202k3rcm4scn4sco4scp4scq6ocr4scs4mct4mcu4mcv4mcw1w2m2zcy1wcz1wdl4sdm4ydn4ydo4ydp4ydq4yds4ydt4sdu4sdv4sdw4sdz3xek3rel3rem3ren3reo3rep3req5ter3res3ret3reu3rev3rew1wex1wey1wez1wfl3xfm3xfn3xfo3xfp3xfq3xfr3ufs3xft3xfu3xfv3xfw3xfz3r203k6o212m6o2dw2l2cq2l3t3r3u2l17s4m19m3r}'kerning'{cl{4qs5ku5ot5qs17sv5tv}201t{2ww4wy2yw}201w{2ks}201x{2ww4wy2yw}2k{201ts201xs}2w{7qs4qu5kw5os5qw5rs17su5tu7tsfzs}2x{5ow5qs}2y{7qs4qu5kw5os5qw5rs17su5tu7tsfzs}'fof'-6o7p{17su5tu5ot}ck{4qs5ku5ot5qs17sv5tv}4l{4qs5ku5ot5qs17sv5tv}cm{4qs5ku5ot5qs17sv5tv}cn{4qs5ku5ot5qs17sv5tv}co{4qs5ku5ot5qs17sv5tv}cp{4qs5ku5ot5qs17sv5tv}6l{17st5tt5os}17s{2kwclvcmvcnvcovcpv4lv4wwckv}5o{2kucltcmtcntcotcpt4lt4wtckt}5q{2ksclscmscnscoscps4ls4wvcks}5r{2ks4ws}5t{2kwclvcmvcnvcovcpv4lv4wwckv}eo{17st5tt5os}fu{17su5tu5ot}6p{17ss5ts}ek{17st5tt5os}el{17st5tt5os}em{17st5tt5os}en{17st5tt5os}6o{201ts}ep{17st5tt5os}es{17ss5ts}et{17ss5ts}eu{17ss5ts}ev{17ss5ts}6z{17su5tu5os5qt}fm{17su5tu5os5qt}fn{17su5tu5os5qt}fo{17su5tu5os5qt}fp{17su5tu5os5qt}fq{17su5tu5os5qt}fs{17su5tu5os5qt}ft{17su5tu5ot}7m{5os}fv{17su5tu5ot}fw{17su5tu5ot}}}")
	, 'Courier': uncompress("{'widths'{k3w'fof'6o}'kerning'{'fof'-6o}}")
	, 'Courier-BoldOblique': uncompress("{'widths'{k3w'fof'6o}'kerning'{'fof'-6o}}")
	, 'Times-Bold': uncompress("{'widths'{k3q2q5ncx2r201n3m201o6o201s2l201t2l201u2l201w3m201x3m201y3m2k1t2l2l202m2n2n3m2o3m2p6o202q6o2r1w2s2l2t2l2u3m2v3t2w1t2x2l2y1t2z1w3k3m3l3m3m3m3n3m3o3m3p3m3q3m3r3m3s3m203t2l203u2l3v2l3w3t3x3t3y3t3z3m4k5x4l4s4m4m4n4s4o4s4p4m4q3x4r4y4s4y4t2r4u3m4v4y4w4m4x5y4y4s4z4y5k3x5l4y5m4s5n3r5o4m5p4s5q4s5r6o5s4s5t4s5u4m5v2l5w1w5x2l5y3u5z3m6k2l6l3m6m3r6n2w6o3r6p2w6q2l6r3m6s3r6t1w6u2l6v3r6w1w6x5n6y3r6z3m7k3r7l3r7m2w7n2r7o2l7p3r7q3m7r4s7s3m7t3m7u2w7v2r7w1q7x2r7y3o202l3mcl4sal2lam3man3mao3map3mar3mas2lat4uau1yav3maw3tay4uaz2lbk2sbl3t'fof'6obo2lbp3rbr1tbs2lbu2lbv3mbz3mck4s202k3mcm4scn4sco4scp4scq6ocr4scs4mct4mcu4mcv4mcw2r2m3rcy2rcz2rdl4sdm4ydn4ydo4ydp4ydq4yds4ydt4sdu4sdv4sdw4sdz3rek3mel3mem3men3meo3mep3meq4ser2wes2wet2weu2wev2wew1wex1wey1wez1wfl3rfm3mfn3mfo3mfp3mfq3mfr3tfs3mft3rfu3rfv3rfw3rfz3m203k6o212m6o2dw2l2cq2l3t3m3u2l17s4s19m3m}'kerning'{cl{4qt5ks5ot5qy5rw17sv5tv}201t{cks4lscmscnscoscpscls4wv}2k{201ts}2w{4qu5ku7mu5os5qx5ru17su5tu}2x{17su5tu5ou5qs}2y{4qv5kv7mu5ot5qz5ru17su5tu}'fof'-6o7t{cksclscmscnscoscps4ls}3u{17su5tu5os5qu}3v{17su5tu5os5qu}fu{17su5tu5ou5qu}7p{17su5tu5ou5qu}ck{4qt5ks5ot5qy5rw17sv5tv}4l{4qt5ks5ot5qy5rw17sv5tv}cm{4qt5ks5ot5qy5rw17sv5tv}cn{4qt5ks5ot5qy5rw17sv5tv}co{4qt5ks5ot5qy5rw17sv5tv}cp{4qt5ks5ot5qy5rw17sv5tv}6l{17st5tt5ou5qu}17s{ckuclucmucnucoucpu4lu4wu}5o{ckuclucmucnucoucpu4lu4wu}5q{ckzclzcmzcnzcozcpz4lz4wu}5r{ckxclxcmxcnxcoxcpx4lx4wu}5t{ckuclucmucnucoucpu4lu4wu}7q{ckuclucmucnucoucpu4lu}6p{17sw5tw5ou5qu}ek{17st5tt5qu}el{17st5tt5ou5qu}em{17st5tt5qu}en{17st5tt5qu}eo{17st5tt5qu}ep{17st5tt5ou5qu}es{17ss5ts5qu}et{17sw5tw5ou5qu}eu{17sw5tw5ou5qu}ev{17ss5ts5qu}6z{17sw5tw5ou5qu5rs}fm{17sw5tw5ou5qu5rs}fn{17sw5tw5ou5qu5rs}fo{17sw5tw5ou5qu5rs}fp{17sw5tw5ou5qu5rs}fq{17sw5tw5ou5qu5rs}7r{cktcltcmtcntcotcpt4lt5os}fs{17sw5tw5ou5qu5rs}ft{17su5tu5ou5qu}7m{5os}fv{17su5tu5ou5qu}fw{17su5tu5ou5qu}fz{cksclscmscnscoscps4ls}}}")
	//, 'Symbol': uncompress("{'widths'{k3uaw4r19m3m2k1t2l2l202m2y2n3m2p5n202q6o3k3m2s2l2t2l2v3r2w1t3m3m2y1t2z1wbk2sbl3r'fof'6o3n3m3o3m3p3m3q3m3r3m3s3m3t3m3u1w3v1w3w3r3x3r3y3r3z2wbp3t3l3m5v2l5x2l5z3m2q4yfr3r7v3k7w1o7x3k}'kerning'{'fof'-6o}}")
	, 'Helvetica': uncompress("{'widths'{k3p2q4mcx1w201n3r201o6o201s1q201t1q201u1q201w2l201x2l201y2l2k1w2l1w202m2n2n3r2o3r2p5t202q6o2r1n2s2l2t2l2u2r2v3u2w1w2x2l2y1w2z1w3k3r3l3r3m3r3n3r3o3r3p3r3q3r3r3r3s3r203t2l203u2l3v1w3w3u3x3u3y3u3z3r4k6p4l4m4m4m4n4s4o4s4p4m4q3x4r4y4s4s4t1w4u3m4v4m4w3r4x5n4y4s4z4y5k4m5l4y5m4s5n4m5o3x5p4s5q4m5r5y5s4m5t4m5u3x5v1w5w1w5x1w5y2z5z3r6k2l6l3r6m3r6n3m6o3r6p3r6q1w6r3r6s3r6t1q6u1q6v3m6w1q6x5n6y3r6z3r7k3r7l3r7m2l7n3m7o1w7p3r7q3m7r4s7s3m7t3m7u3m7v2l7w1u7x2l7y3u202l3rcl4mal2lam3ran3rao3rap3rar3ras2lat4tau2pav3raw3uay4taz2lbk2sbl3u'fof'6obo2lbp3rbr1wbs2lbu2obv3rbz3xck4m202k3rcm4mcn4mco4mcp4mcq6ocr4scs4mct4mcu4mcv4mcw1w2m2ncy1wcz1wdl4sdm4ydn4ydo4ydp4ydq4yds4ydt4sdu4sdv4sdw4sdz3xek3rel3rem3ren3reo3rep3req5ter3mes3ret3reu3rev3rew1wex1wey1wez1wfl3rfm3rfn3rfo3rfp3rfq3rfr3ufs3xft3rfu3rfv3rfw3rfz3m203k6o212m6o2dw2l2cq2l3t3r3u1w17s4m19m3r}'kerning'{5q{4wv}cl{4qs5kw5ow5qs17sv5tv}201t{2wu4w1k2yu}201x{2wu4wy2yu}17s{2ktclucmucnu4otcpu4lu4wycoucku}2w{7qs4qz5k1m17sy5ow5qx5rsfsu5ty7tufzu}2x{17sy5ty5oy5qs}2y{7qs4qz5k1m17sy5ow5qx5rsfsu5ty7tufzu}'fof'-6o7p{17sv5tv5ow}ck{4qs5kw5ow5qs17sv5tv}4l{4qs5kw5ow5qs17sv5tv}cm{4qs5kw5ow5qs17sv5tv}cn{4qs5kw5ow5qs17sv5tv}co{4qs5kw5ow5qs17sv5tv}cp{4qs5kw5ow5qs17sv5tv}6l{17sy5ty5ow}do{17st5tt}4z{17st5tt}7s{fst}dm{17st5tt}dn{17st5tt}5o{ckwclwcmwcnwcowcpw4lw4wv}dp{17st5tt}dq{17st5tt}7t{5ow}ds{17st5tt}5t{2ktclucmucnu4otcpu4lu4wycoucku}fu{17sv5tv5ow}6p{17sy5ty5ow5qs}ek{17sy5ty5ow}el{17sy5ty5ow}em{17sy5ty5ow}en{5ty}eo{17sy5ty5ow}ep{17sy5ty5ow}es{17sy5ty5qs}et{17sy5ty5ow5qs}eu{17sy5ty5ow5qs}ev{17sy5ty5ow5qs}6z{17sy5ty5ow5qs}fm{17sy5ty5ow5qs}fn{17sy5ty5ow5qs}fo{17sy5ty5ow5qs}fp{17sy5ty5qs}fq{17sy5ty5ow5qs}7r{5ow}fs{17sy5ty5ow5qs}ft{17sv5tv5ow}7m{5ow}fv{17sv5tv5ow}fw{17sv5tv5ow}}}")
	, 'Helvetica-BoldOblique': uncompress("{'widths'{k3s2q4scx1w201n3r201o6o201s1w201t1w201u1w201w3m201x3m201y3m2k1w2l2l202m2n2n3r2o3r2p5t202q6o2r1s2s2l2t2l2u2r2v3u2w1w2x2l2y1w2z1w3k3r3l3r3m3r3n3r3o3r3p3r3q3r3r3r3s3r203t2l203u2l3v2l3w3u3x3u3y3u3z3x4k6l4l4s4m4s4n4s4o4s4p4m4q3x4r4y4s4s4t1w4u3r4v4s4w3x4x5n4y4s4z4y5k4m5l4y5m4s5n4m5o3x5p4s5q4m5r5y5s4m5t4m5u3x5v2l5w1w5x2l5y3u5z3r6k2l6l3r6m3x6n3r6o3x6p3r6q2l6r3x6s3x6t1w6u1w6v3r6w1w6x5t6y3x6z3x7k3x7l3x7m2r7n3r7o2l7p3x7q3r7r4y7s3r7t3r7u3m7v2r7w1w7x2r7y3u202l3rcl4sal2lam3ran3rao3rap3rar3ras2lat4tau2pav3raw3uay4taz2lbk2sbl3u'fof'6obo2lbp3xbq3rbr1wbs2lbu2obv3rbz3xck4s202k3rcm4scn4sco4scp4scq6ocr4scs4mct4mcu4mcv4mcw1w2m2zcy1wcz1wdl4sdm4ydn4ydo4ydp4ydq4yds4ydt4sdu4sdv4sdw4sdz3xek3rel3rem3ren3reo3rep3req5ter3res3ret3reu3rev3rew1wex1wey1wez1wfl3xfm3xfn3xfo3xfp3xfq3xfr3ufs3xft3xfu3xfv3xfw3xfz3r203k6o212m6o2dw2l2cq2l3t3r3u2l17s4m19m3r}'kerning'{cl{4qs5ku5ot5qs17sv5tv}201t{2ww4wy2yw}201w{2ks}201x{2ww4wy2yw}2k{201ts201xs}2w{7qs4qu5kw5os5qw5rs17su5tu7tsfzs}2x{5ow5qs}2y{7qs4qu5kw5os5qw5rs17su5tu7tsfzs}'fof'-6o7p{17su5tu5ot}ck{4qs5ku5ot5qs17sv5tv}4l{4qs5ku5ot5qs17sv5tv}cm{4qs5ku5ot5qs17sv5tv}cn{4qs5ku5ot5qs17sv5tv}co{4qs5ku5ot5qs17sv5tv}cp{4qs5ku5ot5qs17sv5tv}6l{17st5tt5os}17s{2kwclvcmvcnvcovcpv4lv4wwckv}5o{2kucltcmtcntcotcpt4lt4wtckt}5q{2ksclscmscnscoscps4ls4wvcks}5r{2ks4ws}5t{2kwclvcmvcnvcovcpv4lv4wwckv}eo{17st5tt5os}fu{17su5tu5ot}6p{17ss5ts}ek{17st5tt5os}el{17st5tt5os}em{17st5tt5os}en{17st5tt5os}6o{201ts}ep{17st5tt5os}es{17ss5ts}et{17ss5ts}eu{17ss5ts}ev{17ss5ts}6z{17su5tu5os5qt}fm{17su5tu5os5qt}fn{17su5tu5os5qt}fo{17su5tu5os5qt}fp{17su5tu5os5qt}fq{17su5tu5os5qt}fs{17su5tu5os5qt}ft{17su5tu5ot}7m{5os}fv{17su5tu5ot}fw{17su5tu5ot}}}")
	//, 'ZapfDingbats': uncompress("{'widths'{k4u2k1w'fof'6o}'kerning'{'fof'-6o}}")
	, 'Courier-Bold': uncompress("{'widths'{k3w'fof'6o}'kerning'{'fof'-6o}}")
	, 'Times-Italic': uncompress("{'widths'{k3n2q4ycx2l201n3m201o5t201s2l201t2l201u2l201w3r201x3r201y3r2k1t2l2l202m2n2n3m2o3m2p5n202q5t2r1p2s2l2t2l2u3m2v4n2w1t2x2l2y1t2z1w3k3m3l3m3m3m3n3m3o3m3p3m3q3m3r3m3s3m203t2l203u2l3v2l3w4n3x4n3y4n3z3m4k5w4l3x4m3x4n4m4o4s4p3x4q3x4r4s4s4s4t2l4u2w4v4m4w3r4x5n4y4m4z4s5k3x5l4s5m3x5n3m5o3r5p4s5q3x5r5n5s3x5t3r5u3r5v2r5w1w5x2r5y2u5z3m6k2l6l3m6m3m6n2w6o3m6p2w6q1w6r3m6s3m6t1w6u1w6v2w6w1w6x4s6y3m6z3m7k3m7l3m7m2r7n2r7o1w7p3m7q2w7r4m7s2w7t2w7u2r7v2s7w1v7x2s7y3q202l3mcl3xal2ram3man3mao3map3mar3mas2lat4wau1vav3maw4nay4waz2lbk2sbl4n'fof'6obo2lbp3mbq3obr1tbs2lbu1zbv3mbz3mck3x202k3mcm3xcn3xco3xcp3xcq5tcr4mcs3xct3xcu3xcv3xcw2l2m2ucy2lcz2ldl4mdm4sdn4sdo4sdp4sdq4sds4sdt4sdu4sdv4sdw4sdz3mek3mel3mem3men3meo3mep3meq4mer2wes2wet2weu2wev2wew1wex1wey1wez1wfl3mfm3mfn3mfo3mfp3mfq3mfr4nfs3mft3mfu3mfv3mfw3mfz2w203k6o212m6m2dw2l2cq2l3t3m3u2l17s3r19m3m}'kerning'{cl{5kt4qw}201s{201sw}201t{201tw2wy2yy6q-t}201x{2wy2yy}2k{201tw}2w{7qs4qy7rs5ky7mw5os5qx5ru17su5tu}2x{17ss5ts5os}2y{7qs4qy7rs5ky7mw5os5qx5ru17su5tu}'fof'-6o6t{17ss5ts5qs}7t{5os}3v{5qs}7p{17su5tu5qs}ck{5kt4qw}4l{5kt4qw}cm{5kt4qw}cn{5kt4qw}co{5kt4qw}cp{5kt4qw}6l{4qs5ks5ou5qw5ru17su5tu}17s{2ks}5q{ckvclvcmvcnvcovcpv4lv}5r{ckuclucmucnucoucpu4lu}5t{2ks}6p{4qs5ks5ou5qw5ru17su5tu}ek{4qs5ks5ou5qw5ru17su5tu}el{4qs5ks5ou5qw5ru17su5tu}em{4qs5ks5ou5qw5ru17su5tu}en{4qs5ks5ou5qw5ru17su5tu}eo{4qs5ks5ou5qw5ru17su5tu}ep{4qs5ks5ou5qw5ru17su5tu}es{5ks5qs4qs}et{4qs5ks5ou5qw5ru17su5tu}eu{4qs5ks5qw5ru17su5tu}ev{5ks5qs4qs}ex{17ss5ts5qs}6z{4qv5ks5ou5qw5ru17su5tu}fm{4qv5ks5ou5qw5ru17su5tu}fn{4qv5ks5ou5qw5ru17su5tu}fo{4qv5ks5ou5qw5ru17su5tu}fp{4qv5ks5ou5qw5ru17su5tu}fq{4qv5ks5ou5qw5ru17su5tu}7r{5os}fs{4qv5ks5ou5qw5ru17su5tu}ft{17su5tu5qs}fu{17su5tu5qs}fv{17su5tu5qs}fw{17su5tu5qs}}}")
	, 'Times-Roman': uncompress("{'widths'{k3n2q4ycx2l201n3m201o6o201s2l201t2l201u2l201w2w201x2w201y2w2k1t2l2l202m2n2n3m2o3m2p5n202q6o2r1m2s2l2t2l2u3m2v3s2w1t2x2l2y1t2z1w3k3m3l3m3m3m3n3m3o3m3p3m3q3m3r3m3s3m203t2l203u2l3v1w3w3s3x3s3y3s3z2w4k5w4l4s4m4m4n4m4o4s4p3x4q3r4r4s4s4s4t2l4u2r4v4s4w3x4x5t4y4s4z4s5k3r5l4s5m4m5n3r5o3x5p4s5q4s5r5y5s4s5t4s5u3x5v2l5w1w5x2l5y2z5z3m6k2l6l2w6m3m6n2w6o3m6p2w6q2l6r3m6s3m6t1w6u1w6v3m6w1w6x4y6y3m6z3m7k3m7l3m7m2l7n2r7o1w7p3m7q3m7r4s7s3m7t3m7u2w7v3k7w1o7x3k7y3q202l3mcl4sal2lam3man3mao3map3mar3mas2lat4wau1vav3maw3say4waz2lbk2sbl3s'fof'6obo2lbp3mbq2xbr1tbs2lbu1zbv3mbz2wck4s202k3mcm4scn4sco4scp4scq5tcr4mcs3xct3xcu3xcv3xcw2l2m2tcy2lcz2ldl4sdm4sdn4sdo4sdp4sdq4sds4sdt4sdu4sdv4sdw4sdz3mek2wel2wem2wen2weo2wep2weq4mer2wes2wet2weu2wev2wew1wex1wey1wez1wfl3mfm3mfn3mfo3mfp3mfq3mfr3sfs3mft3mfu3mfv3mfw3mfz3m203k6o212m6m2dw2l2cq2l3t3m3u1w17s4s19m3m}'kerning'{cl{4qs5ku17sw5ou5qy5rw201ss5tw201ws}201s{201ss}201t{ckw4lwcmwcnwcowcpwclw4wu201ts}2k{201ts}2w{4qs5kw5os5qx5ru17sx5tx}2x{17sw5tw5ou5qu}2y{4qs5kw5os5qx5ru17sx5tx}'fof'-6o7t{ckuclucmucnucoucpu4lu5os5rs}3u{17su5tu5qs}3v{17su5tu5qs}7p{17sw5tw5qs}ck{4qs5ku17sw5ou5qy5rw201ss5tw201ws}4l{4qs5ku17sw5ou5qy5rw201ss5tw201ws}cm{4qs5ku17sw5ou5qy5rw201ss5tw201ws}cn{4qs5ku17sw5ou5qy5rw201ss5tw201ws}co{4qs5ku17sw5ou5qy5rw201ss5tw201ws}cp{4qs5ku17sw5ou5qy5rw201ss5tw201ws}6l{17su5tu5os5qw5rs}17s{2ktclvcmvcnvcovcpv4lv4wuckv}5o{ckwclwcmwcnwcowcpw4lw4wu}5q{ckyclycmycnycoycpy4ly4wu5ms}5r{cktcltcmtcntcotcpt4lt4ws}5t{2ktclvcmvcnvcovcpv4lv4wuckv}7q{cksclscmscnscoscps4ls}6p{17su5tu5qw5rs}ek{5qs5rs}el{17su5tu5os5qw5rs}em{17su5tu5os5qs5rs}en{17su5qs5rs}eo{5qs5rs}ep{17su5tu5os5qw5rs}es{5qs}et{17su5tu5qw5rs}eu{17su5tu5qs5rs}ev{5qs}6z{17sv5tv5os5qx5rs}fm{5os5qt5rs}fn{17sv5tv5os5qx5rs}fo{17sv5tv5os5qx5rs}fp{5os5qt5rs}fq{5os5qt5rs}7r{ckuclucmucnucoucpu4lu5os}fs{17sv5tv5os5qx5rs}ft{17ss5ts5qs}fu{17sw5tw5qs}fv{17sw5tw5qs}fw{17ss5ts5qs}fz{ckuclucmucnucoucpu4lu5os5rs}}}")
	, 'Helvetica-Oblique': uncompress("{'widths'{k3p2q4mcx1w201n3r201o6o201s1q201t1q201u1q201w2l201x2l201y2l2k1w2l1w202m2n2n3r2o3r2p5t202q6o2r1n2s2l2t2l2u2r2v3u2w1w2x2l2y1w2z1w3k3r3l3r3m3r3n3r3o3r3p3r3q3r3r3r3s3r203t2l203u2l3v1w3w3u3x3u3y3u3z3r4k6p4l4m4m4m4n4s4o4s4p4m4q3x4r4y4s4s4t1w4u3m4v4m4w3r4x5n4y4s4z4y5k4m5l4y5m4s5n4m5o3x5p4s5q4m5r5y5s4m5t4m5u3x5v1w5w1w5x1w5y2z5z3r6k2l6l3r6m3r6n3m6o3r6p3r6q1w6r3r6s3r6t1q6u1q6v3m6w1q6x5n6y3r6z3r7k3r7l3r7m2l7n3m7o1w7p3r7q3m7r4s7s3m7t3m7u3m7v2l7w1u7x2l7y3u202l3rcl4mal2lam3ran3rao3rap3rar3ras2lat4tau2pav3raw3uay4taz2lbk2sbl3u'fof'6obo2lbp3rbr1wbs2lbu2obv3rbz3xck4m202k3rcm4mcn4mco4mcp4mcq6ocr4scs4mct4mcu4mcv4mcw1w2m2ncy1wcz1wdl4sdm4ydn4ydo4ydp4ydq4yds4ydt4sdu4sdv4sdw4sdz3xek3rel3rem3ren3reo3rep3req5ter3mes3ret3reu3rev3rew1wex1wey1wez1wfl3rfm3rfn3rfo3rfp3rfq3rfr3ufs3xft3rfu3rfv3rfw3rfz3m203k6o212m6o2dw2l2cq2l3t3r3u1w17s4m19m3r}'kerning'{5q{4wv}cl{4qs5kw5ow5qs17sv5tv}201t{2wu4w1k2yu}201x{2wu4wy2yu}17s{2ktclucmucnu4otcpu4lu4wycoucku}2w{7qs4qz5k1m17sy5ow5qx5rsfsu5ty7tufzu}2x{17sy5ty5oy5qs}2y{7qs4qz5k1m17sy5ow5qx5rsfsu5ty7tufzu}'fof'-6o7p{17sv5tv5ow}ck{4qs5kw5ow5qs17sv5tv}4l{4qs5kw5ow5qs17sv5tv}cm{4qs5kw5ow5qs17sv5tv}cn{4qs5kw5ow5qs17sv5tv}co{4qs5kw5ow5qs17sv5tv}cp{4qs5kw5ow5qs17sv5tv}6l{17sy5ty5ow}do{17st5tt}4z{17st5tt}7s{fst}dm{17st5tt}dn{17st5tt}5o{ckwclwcmwcnwcowcpw4lw4wv}dp{17st5tt}dq{17st5tt}7t{5ow}ds{17st5tt}5t{2ktclucmucnu4otcpu4lu4wycoucku}fu{17sv5tv5ow}6p{17sy5ty5ow5qs}ek{17sy5ty5ow}el{17sy5ty5ow}em{17sy5ty5ow}en{5ty}eo{17sy5ty5ow}ep{17sy5ty5ow}es{17sy5ty5qs}et{17sy5ty5ow5qs}eu{17sy5ty5ow5qs}ev{17sy5ty5ow5qs}6z{17sy5ty5ow5qs}fm{17sy5ty5ow5qs}fn{17sy5ty5ow5qs}fo{17sy5ty5ow5qs}fp{17sy5ty5qs}fq{17sy5ty5ow5qs}7r{5ow}fs{17sy5ty5ow5qs}ft{17sv5tv5ow}7m{5ow}fv{17sv5tv5ow}fw{17sv5tv5ow}}}")
}};

/*
This event handler is fired when a new jsPDF object is initialized
This event handler appends metrics data to standard fonts within
that jsPDF instance. The metrics are mapped over Unicode character
codes, NOT CIDs or other codes matching the StandardEncoding table of the
standard PDF fonts.
Future:
Also included is the encoding maping table, converting Unicode (UCS-2, UTF-16)
char codes to StandardEncoding character codes. The encoding table is to be used
somewhere around "pdfEscape" call.
*/

API.events.push([ 
	'addFonts'
	,function(fontManagementObjects) {
		// fontManagementObjects is {
		//	'fonts':font_ID-keyed hash of font objects
		//	, 'dictionary': lookup object, linking ["FontFamily"]['Style'] to font ID
		//}
		var font
		, fontID
		, metrics
		, unicode_section
		, encoding = 'Unicode'
		, encodingBlock

		for (fontID in fontManagementObjects.fonts){
			if (fontManagementObjects.fonts.hasOwnProperty(fontID)) {
				font = fontManagementObjects.fonts[fontID]

				// // we only ship 'Unicode' mappings and metrics. No need for loop.
				// // still, leaving this for the future.

				// for (encoding in fontMetrics){
				// 	if (fontMetrics.hasOwnProperty(encoding)) {

						metrics = fontMetrics[encoding][font.PostScriptName]
						if (metrics) {
							if (font.metadata[encoding]) {
								unicode_section = font.metadata[encoding]
							} else {
								unicode_section = font.metadata[encoding] = {}
							}

							unicode_section.widths = metrics.widths
							unicode_section.kerning = metrics.kerning
						}
				// 	}
				// }
				// for (encoding in encodings){
				// 	if (encodings.hasOwnProperty(encoding)) {
						encodingBlock = encodings[encoding][font.PostScriptName]
						if (encodingBlock) {
							if (font.metadata[encoding]) {
								unicode_section = font.metadata[encoding]
							} else {
								unicode_section = font.metadata[encoding] = {}
							}

							unicode_section.encoding = encodingBlock
							if (encodingBlock.codePages && encodingBlock.codePages.length) {
								font.encoding = encodingBlock.codePages[0]
							}
						}
				// 	}
				// }
			}
		}
	}
]) // end of adding event handler

})(jsPDF.API);
'
threejsn = 'jspdf.plugin.split_text_to_size.js'
threejsd = '/** @preserve 
jsPDF split_text_to_size plugin
Copyright (c) 2012 Willow Systems Corporation, willow-systems.com
MIT license.
*/
/**
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 * 
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 * 
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 * ====================================================================
 */

;(function(API) {
'use strict'

/**
Returns an array of length matching length of the 'word' string, with each
cell ocupied by the width of the char in that position.

@function
@param word {String}
@param widths {Object}
@param kerning {Object}
@returns {Array}
*/
var getCharWidthsArray = API.getCharWidthsArray = function(text, options){

	if (!options) {
		options = {}
	}

	var widths = options.widths ? options.widths : this.internal.getFont().metadata.Unicode.widths
	, widthsFractionOf = widths.fof ? widths.fof : 1
	, kerning = options.kerning ? options.kerning : this.internal.getFont().metadata.Unicode.kerning
	, kerningFractionOf = kerning.fof ? kerning.fof : 1
	
	// console.log("widths, kergnings", widths, kerning)

	var i, l
	, char_code
	, char_width
	, prior_char_code = 0 // for kerning
	, default_char_width = widths[0] || widthsFractionOf
	, output = []

	for (i = 0, l = text.length; i < l; i++) {
		char_code = text.charCodeAt(i)
		output.push(
			( widths[char_code] || default_char_width ) / widthsFractionOf + 
			( kerning[char_code] && kerning[char_code][prior_char_code] || 0 ) / kerningFractionOf
		)
		prior_char_code = char_code
	}

	return output
}
var getArraySum = function(array){
	var i = array.length
	, output = 0
	while(i){
		;i--;
		output += array[i]
	}
	return output
}
/**
Returns a widths of string in a given font, if the font size is set as 1 point.

In other words, this is "proportional" value. For 1 unit of font size, the length
of the string will be that much.

Multiply by font size to get actual width in *points*
Then divide by 72 to get inches or divide by (72/25.6) to get 'mm' etc.

@public
@function
@param
@returns {Type}
*/
var getStringUnitWidth = API.getStringUnitWidth = function(text, options) {
	return getArraySum(getCharWidthsArray.call(this, text, options))
}

/** 
returns array of lines
*/
var splitLongWord = function(word, widths_array, firstLineMaxLen, maxLen){
	var answer = []

	// 1st, chop off the piece that can fit on the hanging line.
	var i = 0
	, l = word.length
	, workingLen = 0
	while (i !== l && workingLen + widths_array[i] < firstLineMaxLen){
		workingLen += widths_array[i]
		;i++;
	}
	// this is first line.
	answer.push(word.slice(0, i))

	// 2nd. Split the rest into maxLen pieces.
	var startOfLine = i
	workingLen = 0
	while (i !== l){
		if (workingLen + widths_array[i] > maxLen) {
			answer.push(word.slice(startOfLine, i))
			workingLen = 0
			startOfLine = i
		}
		workingLen += widths_array[i]
		;i++;
	}
	if (startOfLine !== i) {
		answer.push(word.slice(startOfLine, i))
	}

	return answer
}

// Note, all sizing inputs for this function must be in "font measurement units"
// By default, for PDF, it's "point".
var splitParagraphIntoLines = function(text, maxlen, options){
	// at this time works only on Western scripts, ones with space char
	// separating the words. Feel free to expand.

	if (!options) {
		options = {}
	}

	var spaceCharWidth = getCharWidthsArray(' ', options)[0]

	var words = text.split(' ')

	var line = []
	, lines = [line]
	, line_length = options.textIndent || 0
	, separator_length = 0
	, current_word_length = 0
	, word
	, widths_array

	var i, l, tmp
	for (i = 0, l = words.length; i < l; i++) {
		word = words[i]
		widths_array = getCharWidthsArray(word, options)
		current_word_length = getArraySum(widths_array)

		if (line_length + separator_length + current_word_length > maxlen) {
			if (current_word_length > maxlen) {
				// this happens when you have space-less long URLs for example.
				// we just chop these to size. We do NOT insert hiphens
				tmp = splitLongWord(word, widths_array, maxlen - (line_length + separator_length), maxlen)
				// first line we add to existing line object
				line.push(tmp.shift()) // it's ok to have extra space indicator there
				// last line we make into new line object
				line = [tmp.pop()]
				// lines in the middle we apped to lines object as whole lines
				while(tmp.length){
					lines.push([tmp.shift()]) // single fragment occupies whole line
				}
				current_word_length = getArraySum( widths_array.slice(word.length - line[0].length) )
			} else {
				// just put it on a new line
				line = [word]
			}

			// now we attach new line to lines
			lines.push(line)

			line_length = current_word_length
			separator_length = spaceCharWidth

		} else {
			line.push(word)

			line_length += separator_length + current_word_length
			separator_length = spaceCharWidth
		}
	}

	var output = []
	for (i = 0, l = lines.length; i < l; i++) {
		output.push( lines[i].join(' ') )
	}
	return output

}

/**
Splits a given string into an array of strings. Uses 'size' value
(in measurement units declared as default for the jsPDF instance)
and the font's "widths" and "Kerning" tables, where availabe, to
determine display length of a given string for a given font.

We use character's 100% of unit size (height) as width when Width
table or other default width is not available.

@public
@function
@param text {String} Unencoded, regular JavaScript (Unicode, UTF-16 / UCS-2) string.
@param size {Number} Nominal number, measured in units default to this instance of jsPDF.
@param options {Object} Optional flags needed for chopper to do the right thing.
@returns {Array} with strings chopped to size.
*/
API.splitTextToSize = function(text, maxlen, options) {
	'use strict'

	if (!options) {
		options = {}
	}

	var fsize = options.fontSize || this.internal.getFontSize()
	, newOptions = (function(options){
		var widths = {0:1}
		, kerning = {}

		if (!options.widths || !options.kerning) {
			var f = this.internal.getFont(options.fontName, options.fontStyle)
			, encoding = 'Unicode'
			// NOT UTF8, NOT UTF16BE/LE, NOT UCS2BE/LE
			// Actual JavaScript-native String's 16bit char codes used.
			// no multi-byte logic here

			if (f.metadata[encoding]) {
				return {
					widths: f.metadata[encoding].widths || widths
					, kerning: f.metadata[encoding].kerning || kerning
				}
			}
		} else {
			return 	{
				widths: options.widths
				, kerning: options.kerning
			}			
		}

		// then use default values
		return 	{
			widths: widths
			, kerning: kerning
		}
	}).call(this, options)

	// first we split on end-of-line chars
	var paragraphs 
	if (text.match(/[\n\r]/)) {
		paragraphs = text.split(/\r\n|\r|\n/g)
	} else {
		paragraphs = [text]
	}

	// now we convert size (max length of line) into "font size units"
	// at present time, the "font size unit" is always 'point'
	// 'proportional' means, "in proportion to font size"
	var fontUnit_maxLen = 1.0 * this.internal.scaleFactor * maxlen / fsize
	// at this time, fsize is always in "points" regardless of the default measurement unit of the doc.
	// this may change in the future?
	// until then, proportional_maxlen is likely to be in 'points'

	// If first line is to be indented (shorter or longer) than maxLen 
	// we indicate that by using CSS-style "text-indent" option.
	// here it's in font units too (which is likely 'points')
	// it can be negative (which makes the first line longer than maxLen)
	newOptions.textIndent = options.textIndent ? 
		options.textIndent * 1.0 * this.internal.scaleFactor / fsize : 
		0

	var i, l
	, output = []
	for (i = 0, l = paragraphs.length; i < l; i++) {
		output = output.concat(
			splitParagraphIntoLines(
				paragraphs[i]
				, fontUnit_maxLen
				, newOptions
			)
		)
	}

	return output 
}

})(jsPDF.API);
'
fourjsn = 'jspdf.plugin.from_html.js'
fourjsd = '/** @preserve
jsPDF fromHTML plugin. BETA stage. API subject to change. Needs browser, jQuery
Copyright (c) 2012 2012 Willow Systems Corporation, willow-systems.com
*/
/*
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 * 
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 * 
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 * ====================================================================
 */

;(function(jsPDFAPI) {
'use strict'


if(!String.prototype.trim) {
  String.prototype.trim = function () {
    return this.replace(/^\s+|\s+$/g,'');
  };
}
if(!String.prototype.trimLeft) {
  String.prototype.trimLeft = function () {
    return this.replace(/^\s+/g,'');
  };
}
if(!String.prototype.trimRight) {
  String.prototype.trimRight = function () {
    return this.replace(/\s+$/g,'');
  };
}

function PurgeWhiteSpace(array){
	var i = 0, l = array.length, fragment
	, lTrimmed = false
	, rTrimmed = false

	while (!lTrimmed && i !== l) {
		fragment = array[i] = array[i].trimLeft()
		if (fragment) {
			// there is something left there.
			lTrimmed = true
		}
		;i++;
	}

	i = l - 1
	while (l && !rTrimmed && i !== -1) {
		fragment = array[i] = array[i].trimRight()
		if (fragment) {
			// there is something left there.
			rTrimmed = true
		}
		;i--;
	}

	var r = /\s+$/g
	, trailingSpace = true // it's safe to assume we always trim start of display:block element's text.

	for (i = 0; i !== l; i++) {
		fragment = array[i].replace(/\s+/g, ' ')
		// if (l > 1) {
		// 	console.log(i, trailingSpace, fragment)
		// }
		if (trailingSpace) {
			fragment = fragment.trimLeft()
		}
		if (fragment) {
			// meaning, it was not reduced to ""
			// if it was, we don't want to clear trailingSpace flag.
			trailingSpace = r.test(fragment)
		}
		array[i] = fragment
	}

	return array
}

function Renderer(pdf, x, y, settings) {
	this.pdf = pdf
	this.x = x
	this.y = y
	this.settings = settings

	this.init()

	return this
}

Renderer.prototype.init = function(){

	this.paragraph = {
		'text': []
		, 'style': []
	}

	this.pdf.internal.write(
		'q'
	)
}

Renderer.prototype.dispose = function(){
	this.pdf.internal.write(
		'Q' // closes the 'q' in init()
	)
	return {
		'x':this.x, 'y':this.y // bottom left of last line. = upper left of what comes after us.
		// TODO: we cannot traverse pages yet, but need to figure out how to communicate that when we do.
		// TODO: add more stats: number of lines, paragraphs etc.
	}
}

Renderer.prototype.splitFragmentsIntoLines = function(fragments, styles){
	var defaultFontSize = 12 // points
	, k = this.pdf.internal.scaleFactor // when multiplied by this, converts jsPDF instance units into 'points'

	// var widths = options.widths ? options.widths : this.internal.getFont().metadata.Unicode.widths
	// , kerning = options.kerning ? options.kerning : this.internal.getFont().metadata.Unicode.kerning
	, fontMetricsCache = {}
	, ff, fs
	, fontMetrics

	, fragment // string, element of `fragments`
	, style // object with properties with names similar to CSS. Holds pertinent style info for given fragment
	, fragmentSpecificMetrics // fontMetrics + some indent and sizing properties populated. We reuse it, hence the bother.
	, fragmentLength // fragment's length in jsPDF units
	, fragmentChopped // will be array - fragment split into "lines"

	, line = [] // array of pairs of arrays [t,s], where t is text string, and s is style object for that t.
	, lines = [line] // array of arrays of pairs of arrays
	, currentLineLength = 0 // in jsPDF instance units (inches, cm etc)
	, maxLineLength = this.settings.width // need to decide if this is the best way to know width of content.

	// this loop sorts text fragments (and associated style)
	// into lines. Some fragments will be chopped into smaller
	// fragments to be spread over multiple lines.
	while (fragments.length) {

		fragment = fragments.shift()
		style = styles.shift()

		// if not empty string
		if (fragment) {

			ff = style['font-family']
			fs = style['font-style']

			fontMetrics = fontMetricsCache[ff+fs]
			if (!fontMetrics) {
				fontMetrics = this.pdf.internal.getFont(ff, fs).metadata.Unicode
				fontMetricsCache[ff+fs] = fontMetrics
			}

			fragmentSpecificMetrics = {
				'widths': fontMetrics.widths
				, 'kerning': fontMetrics.kerning

				// fontSize comes to us from CSS scraper as "proportion of normal" value
				// , hence the multiplication
				, 'fontSize': style['font-size'] * defaultFontSize

				// // these should not matter as we provide the metrics manually
				// // if we would not, we would need these:
				// , 'fontName': style.fontName 
				// , 'fontStyle': style.fontStyle

				// this is setting for "indent first line of paragraph", but we abuse it
				// for continuing inline spans of text. Indent value = space in jsPDF instance units
				// (whatever user passed to 'new jsPDF(orientation, units, size)
				// already consumed on this line. May be zero, of course, for "start of line"
				// it's used only on chopper, ignored in all "sizing" code
				, 'textIndent': currentLineLength
			}

			// in user units (inch, cm etc.)
			fragmentLength = this.pdf.getStringUnitWidth(
				fragment
				, fragmentSpecificMetrics
			) * fragmentSpecificMetrics.fontSize / k

			if (currentLineLength + fragmentLength > maxLineLength) {
				// whatever is already on the line + this new fragment
				// will be longer than max len for a line. 
				// Hence, chopping fragment into lines:
				fragmentChopped = this.pdf.splitTextToSize(
					fragment
					, maxLineLength
					, fragmentSpecificMetrics
				)

				line.push([fragmentChopped.shift(), style])
				while (fragmentChopped.length){
					line = [[fragmentChopped.shift(), style]]
					lines.push(line)
				}

				currentLineLength = this.pdf.getStringUnitWidth(
					// new line's first (and only) fragment's length is our new line length
					line[0][0]
					, fragmentSpecificMetrics
				) * fragmentSpecificMetrics.fontSize / k
			} else {
				// nice, we can fit this fragment on current line. Less work for us...
				line.push([fragment, style])
				currentLineLength += fragmentLength
			}
		}
	}

	return lines
}

Renderer.prototype.RenderTextFragment = function(text, style) {

	var defaultFontSize = 12
	// , header = "/F1 16 Tf\n16 TL\n0 g"
	, font = this.pdf.internal.getFont(style['font-family'], style['font-style'])

	this.pdf.internal.write(
		'/' + font.id // font key
		, (defaultFontSize * style['font-size']).toFixed(2) // font size comes as float = proportion to normal.
		, 'Tf' // font def marker
		, '('+this.pdf.internal.pdfEscape(text)+') Tj'
	)
}

Renderer.prototype.renderParagraph = function(){

	var fragments = PurgeWhiteSpace( this.paragraph.text )
	, styles = this.paragraph.style
	, blockstyle = this.paragraph.blockstyle
	, priorblockstype = this.paragraph.blockstyle || {}
	this.paragraph = {'text':[], 'style':[], 'blockstyle':{}, 'priorblockstyle':blockstyle}

	if (!fragments.join('').trim()) {
		/* if it's empty string */
		return
	} // else there is something to draw

	var lines = this.splitFragmentsIntoLines(fragments, styles)
	, line // will be array of array pairs [[t,s],[t,s],[t,s]...] where t = text, s = style object

	, maxLineHeight
	, defaultFontSize = 12
	, fontToUnitRatio = defaultFontSize / this.pdf.internal.scaleFactor

	// these will be in pdf instance units
	, paragraphspacing_before = ( 
		// we only use margin-top potion that is larger than margin-bottom of previous elem
		// because CSS margins don't stack, they overlap.
		Math.max( ( blockstyle['margin-top'] || 0 ) - ( priorblockstype['margin-bottom'] || 0 ), 0 ) + 
		( blockstyle['padding-top'] || 0 ) 
	) * fontToUnitRatio
	, paragraphspacing_after = ( 
		( blockstyle['margin-bottom'] || 0 ) + ( blockstyle['padding-bottom'] || 0 ) 
	) * fontToUnitRatio

	, out = this.pdf.internal.write

	, i, l

	this.y += paragraphspacing_before

	out(
		'q' // canning the scope
		, 'BT' // Begin Text
		// and this moves the text start to desired position.
		, this.pdf.internal.getCoordinateString(this.x)
		, this.pdf.internal.getVerticalCoordinateString(this.y)
		, 'Td'
	)

	// looping through lines
	while (lines.length) {
		line = lines.shift()

		maxLineHeight = 0

		for (i = 0, l = line.length; i !== l; i++) {
			if (line[i][0].trim()) {
				maxLineHeight = Math.max(maxLineHeight, line[i][1]['line-height'], line[i][1]['font-size'])
			}
		}

		// current coordinates are "top left" corner of text box. Text must start from "lower left"
		// so, lowering the current coord one line height.
		out(
			0
			, (-1 * defaultFontSize * maxLineHeight).toFixed(2) // shifting down a line in native `points' means reducing y coordinate
			, 'Td'
			// , (defaultFontSize * maxLineHeight).toFixed(2) // line height comes as float = proportion to normal.
			// , 'TL' // line height marker. Not sure we need it with "Td", but... 
		)

		for (i = 0, l = line.length; i !== l; i++) {
			if (line[i][0]) {
				this.RenderTextFragment(line[i][0], line[i][1])
			}
		}

		// y is in user units (cm, inch etc)
		// maxLineHeight is ratio of defaultFontSize
		// defaultFontSize is in points always.
		// this.internal.scaleFactor is ratio of user unit to points. 
		// Dividing by it converts points to user units.
		// vertical offset will be in user units.
		// this.y is in user units.
		this.y += maxLineHeight * fontToUnitRatio
	}

	out(
		'ET' // End Text
		, 'Q' // restore scope
	)

	this.y += paragraphspacing_after
}

Renderer.prototype.setBlockBoundary = function(){
	this.renderParagraph()
}

Renderer.prototype.setBlockStyle = function(css){
	this.paragraph.blockstyle = css
}

Renderer.prototype.addText = function(text, css){
	this.paragraph.text.push(text)
	this.paragraph.style.push(css)
}


//=====================
// these are DrillForContent and friends

var FontNameDB = {
	'helvetica':'helvetica'
	, 'sans-serif':'helvetica'
	, 'serif':'times'
	, 'times':'times'
	, 'times new roman':'times'
	, 'monospace':'courier'
	, 'courier':'courier'
}
, FontWeightMap = {"100":'normal',"200":'normal',"300":'normal',"400":'normal',"500":'bold',"600":'bold',"700":'bold',"800":'bold',"900":'bold',"normal":'normal',"bold":'bold',"bolder":'bold',"lighter":'normal'}
, FontStyleMap = {'normal':'normal','italic':'italic','oblique':'italic'}
, UnitedNumberMap = {'normal':1}

function ResolveFont(css_font_family_string){
	var name
	, parts = css_font_family_string.split(',') // yes, we don't care about , inside quotes
	, part = parts.shift()

	while (!name && part){
		name = FontNameDB[ part.trim().toLowerCase() ]
		part = parts.shift()
	}
	return name 
}

// return ratio to "normal" font size. in other words, it's fraction of 16 pixels.
function ResolveUnitedNumber(css_line_height_string){
	var undef
	, normal = 16.00
	, value = UnitedNumberMap[css_line_height_string]
	if (value) {
		return value
	}

	// not in cache, ok. need to parse it.

	// Could it be a named value?
	// we will use Windows 94dpi sizing with CSS2 suggested 1.2 step ratio
	// where "normal" or "medium" is 16px
	// see: http://style.cleverchimp.com/font_size_intervals/altintervals.html
	value = ({
		'xx-small':9
		, 'x-small':11
		, 'small':13
		, 'medium':16
		, 'large':19
		, 'x-large':23
		, 'xx-large':28
		, 'auto':0
	})[css_line_height_string]
	if (value !== undef) {
		// caching, returning
		return UnitedNumberMap[css_line_height_string] = value / normal
	}

	// not in cache, ok. need to parse it.
	// is it int?
	if (value = parseFloat(css_line_height_string)) {
		// caching, returning
		return UnitedNumberMap[css_line_height_string] = value / normal
	}

	// must be a "united" value ('123em', '134px' etc.)
	// most browsers convert it to px so, only handling the px
	value = css_line_height_string.match( /([\d\.]+)(px)/ )
	if (value.length === 3) {
		// caching, returning
		return UnitedNumberMap[css_line_height_string] = parseFloat( value[1] ) / normal
	}

	return UnitedNumberMap[css_line_height_string] = 1
}

function GetCSS(element){
	var $e = $(element)
	, css = {}
	, tmp

	css['font-family'] = ResolveFont( $e.css('font-family') ) || 'times'
	css['font-style'] = FontStyleMap [ $e.css('font-style') ] || 'normal'
	tmp = FontWeightMap[ $e.css('font-weight') ] || 'normal'
	if (tmp === 'bold') {
		if (css['font-style'] === 'normal') {
			css['font-style'] = tmp
		} else {
			css['font-style'] = tmp + css['font-style'] // jsPDF's default fonts have it as "bolditalic"
		}
	}

	css['font-size'] = ResolveUnitedNumber( $e.css('font-size') ) || 1 // ratio to "normal" size
	css['line-height'] = ResolveUnitedNumber( $e.css('line-height') ) || 1 // ratio to "normal" size

	css['display'] = $e.css('display') === 'inline' ? 'inline' : 'block'

	if (css['display'] === 'block'){
		css['margin-top'] = ResolveUnitedNumber( $e.css('margin-top') ) || 0
		css['margin-bottom'] = ResolveUnitedNumber( $e.css('margin-bottom') ) || 0
		css['padding-top'] = ResolveUnitedNumber( $e.css('padding-top') ) || 0
		css['padding-bottom'] = ResolveUnitedNumber( $e.css('padding-bottom') ) || 0
	}

	return css
}

function elementHandledElsewhere(element, renderer, elementHandlers){
	var isHandledElsewhere = false

	var i, l, t
	, handlers = elementHandlers['#'+element.id]
	if (handlers) {
		if (typeof handlers === 'function') {
			isHandledElsewhere = handlers(element, renderer)
		} else /* array */ {
			i = 0
			l = handlers.length
			while (!isHandledElsewhere && i !== l){
				isHandledElsewhere = handlers[i](element, renderer)
				;i++;
			}
		}
	}

	handlers = elementHandlers[element.nodeName]
	if (!isHandledElsewhere && handlers) {
		if (typeof handlers === 'function') {
			isHandledElsewhere = handlers(element, renderer)
		} else /* array */ {
			i = 0
			l = handlers.length
			while (!isHandledElsewhere && i !== l){
				isHandledElsewhere = handlers[i](element, renderer)
				;i++;
			}
		}
	}

	return isHandledElsewhere
}

function DrillForContent(element, renderer, elementHandlers){
	var cns = element.childNodes
	, cn
	, fragmentCSS = GetCSS(element)
	, isBlock = fragmentCSS.display === 'block'

	if (isBlock) {
		renderer.setBlockBoundary()
		renderer.setBlockStyle(fragmentCSS)
	}

	for (var i = 0, l = cns.length; i < l ; i++){
		cn = cns[i]

		if (typeof cn === 'object') {
			// Don't render the insides of script tags, they contain text nodes which then render
			if (cn.nodeType === 1 && cn.nodeName != 'SCRIPT') {
				if (!elementHandledElsewhere(cn, renderer, elementHandlers)) {
					DrillForContent(cn, renderer, elementHandlers)
				}
			} else if (cn.nodeType === 3){
				renderer.addText( cn.nodeValue, fragmentCSS )
			}
		} else if (typeof cn === 'string') {
			renderer.addText( cn, fragmentCSS )
		}
	}

	if (isBlock) {
		renderer.setBlockBoundary()
	}
}

function process(pdf, element, x, y, settings) {

	// we operate on DOM elems. So HTML-formatted strings need to pushed into one
	if (typeof element === 'string') {
		element = (function(element) {
			var framename = "jsPDFhtmlText" + Date.now().toString() + (Math.random() * 1000).toFixed(0)
			, visuallyhidden = 'position: absolute !important;' +
				'clip: rect(1px 1px 1px 1px); /* IE6, IE7 */' +
				'clip: rect(1px, 1px, 1px, 1px);' +
				'padding:0 !important;' +
				'border:0 !important;' +
				'height: 1px !important;' + 
				'width: 1px !important; ' +
				'top:auto;' +
				'left:-100px;' +
				'overflow: hidden;'
			// TODO: clean up hidden div
			, $hiddendiv = $(
				'<div style="'+visuallyhidden+'">' +
				'<iframe style="height:1px;width:1px" name="'+framename+'" />' +
				'</div>'
			).appendTo(document.body)
			, $frame = window.frames[framename]
			return $($frame.document.body).html(element)[0]
		})( element )
	}

	var r = new Renderer( pdf, x, y, settings )
	, a = DrillForContent( element, r, settings.elementHandlers )

	return r.dispose()

}


/**
Converts HTML-formatted text into formatted PDF text.

Notes:
2012-07-18
	Plugin relies on having browser, DOM around. The HTML is pushed into dom and traversed.
	Plugin relies on jQuery for CSS extraction.
	Targeting HTML output from Markdown templating, which is a very simple
	markup - div, span, em, strong, p. No br-based paragraph separation supported explicitly (but still may work.)
	Images, tables are NOT supported.

@public
@function
@param HTML {String or DOM Element} HTML-formatted text, or pointer to DOM element that is to be rendered into PDF.
@param x {Number} starting X coordinate in jsPDF instance's declared units.
@param y {Number} starting Y coordinate in jsPDF instance's declared units.
@param settings {Object} Additional / optional variables controlling parsing, rendering.
@returns {Object} jsPDF instance
*/
jsPDFAPI.fromHTML = function(HTML, x, y, settings) {
	'use strict'
	// `this` is _jsPDF object returned when jsPDF is inited (new jsPDF())
	// `this.internal` is a collection of useful, specific-to-raw-PDF-stream functions.
	// for example, `this.internal.write` function allowing you to write directly to PDF stream.
	// `this.line`, `this.text` etc are available directly.
	// so if your plugin just wraps complex series of this.line or this.text or other public API calls,
	// you don't need to look into `this.internal`
	// See _jsPDF object in jspdf.js for complete list of what's available to you.

	// it is good practice to return ref to jsPDF instance to make 
	// the calls chainable. 
	// return this

	// but in this case it is more usefull to return some stats about what we rendered. 
	return process(this, HTML, x, y, settings)
}

})(jsPDF.API)
'
fivejsn = 'jspdf.plugin.addimage.js'
fivejsd = '/** @preserve 
jsPDF addImage plugin (JPEG only at this time)
Copyright (c) 2012 https://github.com/siefkenj/
*/

/**
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 * 
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 * 
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 * ====================================================================
 */

;(function(jsPDFAPI) {
'use strict'

var namespace = 'addImage_'

// takes a string imgData containing the raw bytes of
// a jpeg image and returns [width, height]
// Algorithm from: http://www.64lines.com/jpeg-width-height
var getJpegSize = function(imgData) {
	'use strict'
	var width, height;
	// Verify we have a valid jpeg header 0xff,0xd8,0xff,0xe0,?,?,'J','F','I','F',0x00
	if (!imgData.charCodeAt(0) === 0xff ||
		!imgData.charCodeAt(1) === 0xd8 ||
		!imgData.charCodeAt(2) === 0xff ||
		!imgData.charCodeAt(3) === 0xe0 ||
		!imgData.charCodeAt(6) === 'J'.charCodeAt(0) ||
		!imgData.charCodeAt(7) === 'F'.charCodeAt(0) ||
		!imgData.charCodeAt(8) === 'I'.charCodeAt(0) ||
		!imgData.charCodeAt(9) === 'F'.charCodeAt(0) ||
		!imgData.charCodeAt(10) === 0x00) {
			throw new Error('getJpegSize requires a binary jpeg file')
	}
	var blockLength = imgData.charCodeAt(4)*256 + imgData.charCodeAt(5);
	var i = 4, len = imgData.length;
	while ( i < len ) {
		i += blockLength;
		if (imgData.charCodeAt(i) !== 0xff) {
			throw new Error('getJpegSize could not find the size of the image');
		}
		if (imgData.charCodeAt(i+1) === 0xc0) {
			height = imgData.charCodeAt(i+5)*256 + imgData.charCodeAt(i+6);
			width = imgData.charCodeAt(i+7)*256 + imgData.charCodeAt(i+8);
			return [width, height];
		} else {
			i += 2;
			blockLength = imgData.charCodeAt(i)*256 + imgData.charCodeAt(i+1)
		}
	}
}
// Image functionality ported from pdf.js
, putImage = function(img) {
	var objectNumber = this.internal.newObject()
	, out = this.internal.write
	, putStream = this.internal.putStream

	img['n'] = objectNumber

	out('<</Type /XObject')
	out('/Subtype /Image')
	out('/Width ' + img['w'])
	out('/Height ' + img['h'])
	if (img['cs'] === 'Indexed') {
		out('/ColorSpace [/Indexed /DeviceRGB '
				+ (img['pal'].length / 3 - 1) + ' ' + (objectNumber + 1)
				+ ' 0 R]');
	} else {
		out('/ColorSpace /' + img['cs']);
		if (img['cs'] === 'DeviceCMYK') {
			out('/Decode [1 0 1 0 1 0 1 0]');
		}
	}
	out('/BitsPerComponent ' + img['bpc']);
	if ('f' in img) {
		out('/Filter /' + img['f']);
	}
	if ('dp' in img) {
		out('/DecodeParms <<' + img['dp'] + '>>');
	}
	if ('trns' in img && img['trns'].constructor == Array) {
		var trns = '';
		for ( var i = 0; i < img['trns'].length; i++) {
			trns += (img[trns][i] + ' ' + img['trns'][i] + ' ');
			out('/Mask [' + trns + ']');
		}
	}
	if ('smask' in img) {
		out('/SMask ' + (objectNumber + 1) + ' 0 R');
	}
	out('/Length ' + img['data'].length + '>>');

	putStream(img['data']);

	out('endobj');
}
, putResourcesCallback = function() {
	var images = this.internal.collections[namespace + 'images']
	for ( var i in images ) {
		putImage.call(this, images[i])
	}
}
, putXObjectsDictCallback = function(){
	var images = this.internal.collections[namespace + 'images']
	, out = this.internal.write
	, image
	for (var i in images) {
		image = images[i]
		out(
			'/I' + image['i']
			, image['n']
			, '0'
			, 'R'
		)
	}
}

jsPDFAPI.addImage = function(imageData, format, x, y, w, h) {
	'use strict'

	if (format.toUpperCase() !== 'JPEG') {
		throw new Error('addImage currently only supports format \'JPEG\', not \''+format+'\'');
	}

	var imageIndex
	, images = this.internal.collections[namespace + 'images']
	, coord = this.internal.getCoordinateString
	, vcoord = this.internal.getVerticalCoordinateString;

	// Detect if the imageData is raw binary or Data URL
	if (imageData.substring(0, 23) === 'data:image/jpeg;base64,') {
		imageData = atob(imageData.replace('data:image/jpeg;base64,', ''));
	}

	if (images){
		// this is NOT the first time this method is ran on this instance of jsPDF object.
		imageIndex = Object.keys ? 
		Object.keys(images).length :
		(function(o){
			var i = 0
			for (var e in o){if(o.hasOwnProperty(e)){ i++ }}
			return i
		})(images)
	} else {
		// this is the first time this method is ran on this instance of jsPDF object.
		imageIndex = 0
		this.internal.collections[namespace + 'images'] = images = {}
		this.internal.events.subscribe('putResources', putResourcesCallback)
		this.internal.events.subscribe('putXobjectDict', putXObjectsDictCallback)
	}

	var dims = getJpegSize(imageData);
	var info = {
		w : dims[0],
		h : dims[1],
		cs : 'DeviceRGB',
		bpc : 8,
		f : 'DCTDecode',
		i : imageIndex,
		data : imageData
		// n: objectNumber will be added by putImage code

	};
	images[imageIndex] = info
	if (!w && !h) {
		w = -96;
		h = -96;
	}
	if (w < 0) {
		w = (-1) * info['w'] * 72 / w / this.internal.scaleFactor;
	}
	if (h < 0) {
		h = (-1) * info['h'] * 72 / h / this.internal.scaleFactor;
	}
	if (w === 0) {
		w = h * info['w'] / info['h'];
	}
	if (h === 0) {
		h = w * info['h'] / info['w'];
	}

	this.internal.write(
		'q'
		, coord(w)
		, '0 0'
		, coord(h) // TODO: check if this should be shifted by vcoord
		, coord(x)
		, vcoord(y + h)
		, 'cm /I'+info['i']
		, 'Do Q'
	)

	return this 
}

})(jsPDF.API)
'
sixjsn = 'BlobBuilder.js'
sixjsd = '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'
sevenjsn = 'FileSaver.js'
sevenjsd = '/* FileSaver.js
 * A saveAs() FileSaver implementation.
 * 2012-12-11
 * 
 * By Eli Grey, http://eligrey.com
 * License: X11/MIT
 *   See LICENSE.md
 */

/*global self */
/*jslint bitwise: true, regexp: true, confusion: true, es5: true, vars: true, white: true,
  plusplus: true */

/*! @source http://purl.eligrey.com/github/FileSaver.js/blob/master/FileSaver.js */

var saveAs = saveAs
  || (navigator.msSaveOrOpenBlob && navigator.msSaveOrOpenBlob.bind(navigator))
  || (function(view) {
	"use strict";
	var
		  doc = view.document
		  // only get URL when necessary in case BlobBuilder.js hasn't overridden it yet
		, get_URL = function() {
			return view.URL || view.webkitURL || view;
		}
		, URL = view.URL || view.webkitURL || view
		, save_link = doc.createElementNS("http://www.w3.org/1999/xhtml", "a")
		, can_use_save_link = "download" in save_link
		, click = function(node) {
			var event = doc.createEvent("MouseEvents");
			event.initMouseEvent(
				"click", true, false, view, 0, 0, 0, 0, 0
				, false, false, false, false, 0, null
			);
			return node.dispatchEvent(event); // false if event was cancelled
		}
		, webkit_req_fs = view.webkitRequestFileSystem
		, req_fs = view.requestFileSystem || webkit_req_fs || view.mozRequestFileSystem
		, throw_outside = function (ex) {
			(view.setImmediate || view.setTimeout)(function() {
				throw ex;
			}, 0);
		}
		, force_saveable_type = "application/octet-stream"
		, fs_min_size = 0
		, deletion_queue = []
		, process_deletion_queue = function() {
			var i = deletion_queue.length;
			while (i--) {
				var file = deletion_queue[i];
				if (typeof file === "string") { // file is an object URL
					URL.revokeObjectURL(file);
				} else { // file is a File
					file.remove();
				}
			}
			deletion_queue.length = 0; // clear queue
		}
		, dispatch = function(filesaver, event_types, event) {
			event_types = [].concat(event_types);
			var i = event_types.length;
			while (i--) {
				var listener = filesaver["on" + event_types[i]];
				if (typeof listener === "function") {
					try {
						listener.call(filesaver, event || filesaver);
					} catch (ex) {
						throw_outside(ex);
					}
				}
			}
		}
		, FileSaver = function(blob, name) {
			// First try a.download, then web filesystem, then object URLs
			var
				  filesaver = this
				, type = blob.type
				, blob_changed = false
				, object_url
				, target_view
				, get_object_url = function() {
					var object_url = get_URL().createObjectURL(blob);
					deletion_queue.push(object_url);
					return object_url;
				}
				, dispatch_all = function() {
					dispatch(filesaver, "writestart progress write writeend".split(" "));
				}
				// on any filesys errors revert to saving with object URLs
				, fs_error = function() {
					// don't create more object URLs than needed
					if (blob_changed || !object_url) {
						object_url = get_object_url(blob);
					}
					target_view.location.href = object_url;
					filesaver.readyState = filesaver.DONE;
					dispatch_all();
				}
				, abortable = function(func) {
					return function() {
						if (filesaver.readyState !== filesaver.DONE) {
							return func.apply(this, arguments);
						}
					};
				}
				, create_if_not_found = {create: true, exclusive: false}
				, slice
			;
			filesaver.readyState = filesaver.INIT;
			if (!name) {
				name = "download";
			}
			if (can_use_save_link) {
				object_url = get_object_url(blob);
				save_link.href = object_url;
				save_link.download = name;
				if (click(save_link)) {
					filesaver.readyState = filesaver.DONE;
					dispatch_all();
					return;
				}
			}
			// Object and web filesystem URLs have a problem saving in Google Chrome when
			// viewed in a tab, so I force save with application/octet-stream
			// http://code.google.com/p/chromium/issues/detail?id=91158
			if (view.chrome && type && type !== force_saveable_type) {
				slice = blob.slice || blob.webkitSlice;
				blob = slice.call(blob, 0, blob.size, force_saveable_type);
				blob_changed = true;
			}
			// Since I can't be sure that the guessed media type will trigger a download
			// in WebKit, I append .download to the filename.
			// https://bugs.webkit.org/show_bug.cgi?id=65440
			if (webkit_req_fs && name !== "download") {
				name += ".download";
			}
			if (type === force_saveable_type || webkit_req_fs) {
				target_view = view;
			} else {
				target_view = view.open();
			}
			if (!req_fs) {
				fs_error();
				return;
			}
			fs_min_size += blob.size;
			req_fs(view.TEMPORARY, fs_min_size, abortable(function(fs) {
				fs.root.getDirectory("saved", create_if_not_found, abortable(function(dir) {
					var save = function() {
						dir.getFile(name, create_if_not_found, abortable(function(file) {
							file.createWriter(abortable(function(writer) {
								writer.onwriteend = function(event) {
									target_view.location.href = file.toURL();
									deletion_queue.push(file);
									filesaver.readyState = filesaver.DONE;
									dispatch(filesaver, "writeend", event);
								};
								writer.onerror = function() {
									var error = writer.error;
									if (error.code !== error.ABORT_ERR) {
										fs_error();
									}
								};
								"writestart progress write abort".split(" ").forEach(function(event) {
									writer["on" + event] = filesaver["on" + event];
								});
								writer.write(blob);
								filesaver.abort = function() {
									writer.abort();
									filesaver.readyState = filesaver.DONE;
								};
								filesaver.readyState = filesaver.WRITING;
							}), fs_error);
						}), fs_error);
					};
					dir.getFile(name, {create: false}, abortable(function(file) {
						// delete file if it already exists
						file.remove();
						save();
					}), abortable(function(ex) {
						if (ex.code === ex.NOT_FOUND_ERR) {
							save();
						} else {
							fs_error();
						}
					}));
				}), fs_error);
			}), fs_error);
		}
		, FS_proto = FileSaver.prototype
		, saveAs = function(blob, name) {
			return new FileSaver(blob, name);
		}
	;
	FS_proto.abort = function() {
		var filesaver = this;
		filesaver.readyState = filesaver.DONE;
		dispatch(filesaver, "abort");
	};
	FS_proto.readyState = FS_proto.INIT = 0;
	FS_proto.WRITING = 1;
	FS_proto.DONE = 2;
	
	FS_proto.error =
	FS_proto.onwritestart =
	FS_proto.onprogress =
	FS_proto.onwrite =
	FS_proto.onabort =
	FS_proto.onerror =
	FS_proto.onwriteend =
		null;
	
	view.addEventListener("unload", process_deletion_queue, false);
	return saveAs;
}(self));'
eightjsn = 'jspdf.js'
eightjsd = '/** @preserve jsPDF 0.9.0rc1 ( ${buildDate} ${commitID} )
Copyright (c) 2010-2012 James Hall, james@snapshotmedia.co.uk, https://github.com/MrRio/jsPDF
Copyright (c) 2012 Willow Systems Corporation, willow-systems.com
MIT license.
*/

/*
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 * 
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 * 
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 * ====================================================================
 */


/**
Creates new jsPDF document object instance
@class
@param orientation One of "portrait" or "landscape" (or shortcuts "p" (Default), "l")
@param unit Measurement unit to be used when coordinates are specified. One of "pt" (points), "mm" (Default), "cm", "in"
@param format One of 'a3', 'a4' (Default),'a5' ,'letter' ,'legal'
@returns {jsPDF}
@name jsPDF
*/
var jsPDF = (function() {
'use strict'

// this will run on <=IE9, possibly some niche browsers
// new webkit-based, FireFox, IE10 already have native version of this.
if (typeof btoa === 'undefined') {
	window.btoa = function(data) {
		// DO NOT ADD UTF8 ENCODING CODE HERE!!!!

		// UTF8 encoding encodes bytes over char code 128
		// and, essentially, turns an 8-bit binary streams
		// (that base64 can deal with) into 7-bit binary streams. 
		// (by default server does not know that and does not recode the data back to 8bit)
		// You destroy your data.

		// binary streams like jpeg image data etc, while stored in JavaScript strings,
		// (which are 16bit arrays) are in 8bit format already.
		// You do NOT need to char-encode that before base64 encoding.

		// if you, by act of fate
		// have string which has individual characters with code
		// above 255 (pure unicode chars), encode that BEFORE you base64 here.
		// you can use absolutely any approch there, as long as in the end,
		// base64 gets an 8bit (char codes 0 - 255) stream.
		// when you get it on the server after un-base64, you must 
		// UNencode it too, to get back to 16, 32bit or whatever original bin stream.

		// Note, Yes, JavaScript strings are, in most cases UCS-2 - 
		// 16-bit character arrays. This does not mean, however,
		// that you always have to UTF8 it before base64.
		// it means that if you have actual characters anywhere in
		// that string that have char code above 255, you need to
		// recode *entire* string from 16-bit (or 32bit) to 8-bit array.
		// You can do binary split to UTF16 (BE or LE)
		// you can do utf8, you can split the thing by hand and prepend BOM to it,
		// but whatever you do, make sure you mirror the opposite on
		// the server. If server does not expect to post-process un-base64
		// 8-bit binary stream, think very very hard about messing around with encoding.

		// so, long story short:
		// DO NOT ADD UTF8 ENCODING CODE HERE!!!!
		
		/* @preserve
		====================================================================
		base64 encoder
		MIT, GPL
	
		version: 1109.2015
		discuss at: http://phpjs.org/functions/base64_encode
		+   original by: Tyler Akins (http://rumkin.com)
		+   improved by: Bayron Guevara
		+   improved by: Thunder.m
		+   improved by: Kevin van Zonneveld (http://kevin.vanzonneveld.net)
		+   bugfixed by: Pellentesque Malesuada
		+   improved by: Kevin van Zonneveld (http://kevin.vanzonneveld.net)
		+   improved by: Rafal Kukawski (http://kukawski.pl)
		+   			 Daniel Dotsenko, Willow Systems Corp, willow-systems.com
		====================================================================
		*/
		
		var b64 = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/="
		, b64a = b64.split('')
		, o1, o2, o3, h1, h2, h3, h4, bits, i = 0,
		ac = 0,
		enc = "",
		tmp_arr = [];
	 
		do { // pack three octets into four hexets
			o1 = data.charCodeAt(i++);
			o2 = data.charCodeAt(i++);
			o3 = data.charCodeAt(i++);
	 
			bits = o1 << 16 | o2 << 8 | o3;

			h1 = bits >> 18 & 0x3f;
			h2 = bits >> 12 & 0x3f;
			h3 = bits >> 6 & 0x3f;
			h4 = bits & 0x3f;
	 
			// use hexets to index into b64, and append result to encoded string
			tmp_arr[ac++] = b64a[h1] + b64a[h2] + b64a[h3] + b64a[h4];
		} while (i < data.length);

		enc = tmp_arr.join('');
		var r = data.length % 3;
		return (r ? enc.slice(0, r - 3) : enc) + '==='.slice(r || 3);

		// end of base64 encoder MIT, GPL
	};
}

if (typeof atob === 'undefined') {
	window.atob = function (data) {
		// http://kevin.vanzonneveld.net
		// +   original by: Tyler Akins (http://rumkin.com)
		// +   improved by: Thunder.m
		// +      input by: Aman Gupta
		// +   improved by: Kevin van Zonneveld (http://kevin.vanzonneveld.net)
		// +   bugfixed by: Onno Marsman
		// +   bugfixed by: Pellentesque Malesuada
		// +   improved by: Kevin van Zonneveld (http://kevin.vanzonneveld.net)
		// +      input by: Brett Zamir (http://brett-zamir.me)
		// +   bugfixed by: Kevin van Zonneveld (http://kevin.vanzonneveld.net)
		// *     example 1: base64_decode('S2V2aW4gdmFuIFpvbm5ldmVsZA==');
		// *     returns 1: 'Kevin van Zonneveld'
		// mozilla has this native
		// - but breaks in 2.0.0.12!
		//if (typeof this.window['atob'] == 'function') {
		//    return atob(data);
		//}
		var b64 = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=";
		var o1, o2, o3, h1, h2, h3, h4, bits, i = 0,
		ac = 0,
		dec = "",
		tmp_arr = [];

		if (!data) {
		return data;
		}

		data += '';

		do { // unpack four hexets into three octets using index points in b64
			h1 = b64.indexOf(data.charAt(i++));
			h2 = b64.indexOf(data.charAt(i++));
			h3 = b64.indexOf(data.charAt(i++));
			h4 = b64.indexOf(data.charAt(i++));

			bits = h1 << 18 | h2 << 12 | h3 << 6 | h4;

			o1 = bits >> 16 & 0xff;
			o2 = bits >> 8 & 0xff;
			o3 = bits & 0xff;

			if (h3 == 64) {
				tmp_arr[ac++] = String.fromCharCode(o1);
			} else if (h4 == 64) {
				tmp_arr[ac++] = String.fromCharCode(o1, o2);
			} else {
				tmp_arr[ac++] = String.fromCharCode(o1, o2, o3);
			}
		} while (i < data.length);

		dec = tmp_arr.join('');

		return dec;
	};
}

var getObjectLength = typeof Object.keys === 'function' ?
	function(object){
		return Object.keys(object).length
	} :
	function(object){
		var i = 0
		for (var e in object){if(object.hasOwnProperty(e)){ i++ }}
		return i
	}

/**
PubSub implementation

@class
@name PubSub
*/
var PubSub = function(context){
	'use strict'
	/**  @preserve 
	-----------------------------------------------------------------------------------------------
	JavaScript PubSub library
	2012 (c) ddotsenko@willowsystems.com
	based on Peter Higgins (dante@dojotoolkit.org)
	Loosely based on Dojo publish/subscribe API, limited in scope. Rewritten blindly.
	Original is (c) Dojo Foundation 2004-2010. Released under either AFL or new BSD, see:
	http://dojofoundation.org/license for more information.
	-----------------------------------------------------------------------------------------------
	*/
	/**
	@private
	@fieldOf PubSub
	*/
	this.topics = {}
	/**
	Stores what will be `this` within the callback functions.

	@private
	@fieldOf PubSub#
	*/
	this.context = context
	/**
	Allows caller to emit an event and pass arguments to event listeners.
	@public
	@function
	@param topic {String} Name of the channel on which to voice this event
	@param **args Any number of arguments you want to pass to the listeners of this event.
	@methodOf PubSub#
	@name publish
	*/
	this.publish = function(topic, args) {
		'use strict'
		if (this.topics[topic]) {
			var currentTopic = this.topics[topic]
			, args = Array.prototype.slice.call(arguments, 1)
			, toremove = []
			, fn
			, i, l
			, pair

			for (i = 0, l = currentTopic.length; i < l; i++) {
				pair = currentTopic[i] // this is a [function, once_flag] array
				fn = pair[0] 
				if (pair[1] /* 'run once' flag set */){
				  pair[0] = function(){}
				  toremove.push(i)
				}
			   	fn.apply(this.context, args)
			}
			for (i = 0, l = toremove.length; i < l; i++) {
			  currentTopic.splice(toremove[i], 1)
			}
		}
	}
	/**
	Allows listener code to subscribe to channel and be called when data is available 
	@public
	@function
	@param topic {String} Name of the channel on which to voice this event
	@param callback {Function} Executable (function pointer) that will be ran when event is voiced on this channel.
	@param once {Boolean} (optional. False by default) Flag indicating if the function is to be triggered only once.
	@returns {Object} A token object that cen be used for unsubscribing.  
	@methodOf PubSub#
	@name subscribe
	*/
	this.subscribe = function(topic, callback, once) {
		'use strict'
		if (!this.topics[topic]) {
			this.topics[topic] = [[callback, once]];
		} else {
			this.topics[topic].push([callback,once]);
		}
		return {
			"topic": topic,
			"callback": callback
		};
	};
	/**
	Allows listener code to unsubscribe from a channel 
	@public
	@function
	@param token {Object} A token object that was returned by `subscribe` method 
	@methodOf PubSub#
	@name unsubscribe
	*/
	this.unsubscribe = function(token) {
		if (this.topics[token.topic]) {
			var currentTopic = this.topics[token.topic]
			
			for (var i = 0, l = currentTopic.length; i < l; i++) {
				if (currentTopic[i][0] === token.callback) {
					currentTopic.splice(i, 1)
				}
			}
		}
	}
}

	
/**
@constructor
@private
*/
function jsPDF(/** String */ orientation, /** String */ unit, /** String */ format){

	// Default parameter values
	if (typeof orientation === 'undefined') orientation = 'p'
	else orientation = orientation.toString().toLowerCase()
	if (typeof unit === 'undefined') unit = 'mm'
	if (typeof format === 'undefined') format = 'a4'

	var format_as_string = format.toString().toLowerCase()
	, version = '20120619'
	, content = []
	, content_length = 0

	, pdfVersion = '1.3' // PDF Version
	, pageFormats = { // Size in pt of various paper formats
		'a3': [841.89, 1190.55]
		, 'a4': [595.28, 841.89]
		, 'a5': [420.94, 595.28]
		, 'letter': [612, 792]
		, 'legal': [612, 1008]
	}
	, textColor = '0 g'
	, drawColor = '0 G'
	, page = 0
	, pages = []
	, objectNumber = 2 // 'n' Current object number
	, outToPages = false // switches where out() prints. outToPages true = push to pages obj. outToPages false = doc builder content
	, offsets = [] // List of offsets. Activated and reset by buildDocument(). Pupulated by various calls buildDocument makes.
	, fonts = {} // collection of font objects, where key is fontKey - a dynamically created label for a given font.
	, fontmap = {} // mapping structure fontName > fontStyle > font key - performance layer. See addFont()
	, activeFontSize = 16
	, activeFontKey // will be string representing the KEY of the font as combination of fontName + fontStyle
	, lineWidth = 0.200025 // 2mm
	, pageHeight
	, pageWidth
	, k // Scale factor
	, documentProperties = {'title':'','subject':'','author':'','keywords':'','creator':''}
	, lineCapID = 0
	, lineJoinID = 0
	, API = {}
	, events = new PubSub(API)

	if (unit == 'pt') {
		k = 1
	} else if(unit == 'mm') {
		k = 72/25.4
	} else if(unit == 'cm') {
		k = 72/2.54
	} else if(unit == 'in') {
		k = 72
	} else {
		throw('Invalid unit: ' + unit)
	}
	
	// Dimensions are stored as user units and converted to points on output
	if (format_as_string in pageFormats) {
		pageHeight = pageFormats[format_as_string][1] / k
		pageWidth = pageFormats[format_as_string][0] / k
	} else {
		try {
			pageHeight = format[1]
			pageWidth = format[0]
		} 
		catch(err) {
			throw('Invalid format: ' + format)
		}
	}
	
	if (orientation === 'p' || orientation === 'portrait') {
		orientation = 'p'
		if ( pageWidth > pageHeight  ) {
			var tmp = pageWidth
			pageWidth = pageHeight
			pageHeight = tmp
		}
	} else if (orientation === 'l' || orientation === 'landscape') {
		orientation = 'l'
		if ( pageHeight > pageWidth ) {
			var tmp = pageWidth
			pageWidth = pageHeight
			pageHeight = tmp
		}
	} else {
		throw('Invalid orientation: ' + orientation)
	}

	/////////////////////
	// Private functions
	/////////////////////
	// simplified (speedier) replacement for sprintf's %.2f conversion  
	var f2 = function(number){
		return number.toFixed(2)
	}
	// simplified (speedier) replacement for sprintf's %.3f conversion  
	, f3 = function(number){
		return number.toFixed(3)
	}
	// simplified (speedier) replacement for sprintf's %02d
	, padd2 = function(number) {
		var n = (number).toFixed(0)
		if ( number < 10 ) return '0' + n
		else return n
	}
	// simplified (speedier) replacement for sprintf's %02d
	, padd10 = function(number) {
		var n = (number).toFixed(0)
		if (n.length < 10) return new Array( 11 - n.length ).join( '0' ) + n
		else return n
	}
	, out = function(string) {
		if(outToPages /* set by beginPage */) {
			pages[page].push(string)
		} else {
			content.push(string)
			content_length += string.length + 1 // +1 is for '\n' that will be used to join contents of content 
		}
	}
	, newObject = function() {
		// Begin a new object
		objectNumber ++
		offsets[objectNumber] = content_length
		out(objectNumber + ' 0 obj');		
		return objectNumber
	}
	, putPages = function() {
		var wPt = pageWidth * k
		var hPt = pageHeight * k

		// outToPages = false as set in endDocument(). out() writes to content.
		
		var n, p
		for(n=1; n <= page; n++) {
			newObject()
			out('<</Type /Page')
			out('/Parent 1 0 R');	
			out('/Resources 2 0 R')
			out('/Contents ' + (objectNumber + 1) + ' 0 R>>')
			out('endobj')
			
			// Page content
			p = pages[n].join('\n')
			newObject()
			out('<</Length ' + p.length  + '>>')
			putStream(p)
			out('endobj')
		}
		offsets[1] = content_length
		out('1 0 obj')
		out('<</Type /Pages')
		var kids = '/Kids ['
		for (var i = 0; i < page; i++) {
			kids += (3 + 2 * i) + ' 0 R '
		}
		out(kids + ']')
		out('/Count ' + page)
		out('/MediaBox [0 0 '+f2(wPt)+' '+f2(hPt)+']')
		out('>>')
		out('endobj');		
	}
	, putStream = function(str) {
		out('stream')
		out(str)
		out('endstream')
	}
	, putResources = function() {
		putFonts()
		events.publish('putResources')
		// Resource dictionary
		offsets[2] = content_length
		out('2 0 obj')
		out('<<')
		putResourceDictionary()
		out('>>')
		out('endobj')
	}	
	, putFonts = function() {
		for (var fontKey in fonts) {
			if (fonts.hasOwnProperty(fontKey)) {
				putFont(fonts[fontKey])
			}
		}
	}
	, putFont = function(font) {
		font.objectNumber = newObject()
		out('<</BaseFont/' + font.PostScriptName + '/Type/Font')
		if (typeof font.encoding === 'string') {
			out('/Encoding/'+font.encoding)			
		}
		out('/Subtype/Type1>>')
		out('endobj')
	}
	, addToFontDictionary = function(fontKey, fontName, fontStyle) {
		// this is mapping structure for quick font key lookup.
		// returns the KEY of the font (ex: "F1") for a given pair of font name and type (ex: "Arial". "Italic")
		var undef
		if (fontmap[fontName] === undef){
			fontmap[fontName] = {} // fontStyle is a var interpreted and converted to appropriate string. don't wrap in quotes.
		}
		fontmap[fontName][fontStyle] = fontKey
	}
	/**
	FontObject describes a particular font as member of an instnace of jsPDF

	It's a collection of properties like 'id' (to be used in PDF stream),
	'fontName' (font's family name), 'fontStyle' (font's style variant label)

	@class
	@public
	@property id {String} PDF-document-instance-specific label assinged to the font.
	@property PostScriptName {String} PDF specification full name for the font
	@property encoding {Object} Encoding_name-to-Font_metrics_object mapping.
	@name FontObject
	*/
	, FontObject = {}
	, addFont = function(PostScriptName, fontName, fontStyle, encoding) {
		var fontKey = 'F' + (getObjectLength(fonts) + 1).toString(10)
		
		// This is FontObject 
		var font = fonts[fontKey] = {
			'id': fontKey
			// , 'objectNumber':   will be set by putFont()
			, 'PostScriptName': PostScriptName
			, 'fontName': fontName
			, 'fontStyle': fontStyle
			, 'encoding': encoding
			, 'metadata': {}
		}

		addToFontDictionary(fontKey, fontName, fontStyle)

		events.publish('addFont', font)		

		return fontKey
	}
	, addFonts = function() {

		var HELVETICA = "helvetica"
		, TIMES = "times"
		, COURIER = "courier"
		, NORMAL = "normal"
		, BOLD = "bold"
		, ITALIC = "italic"
		, BOLD_ITALIC = "bolditalic"
		, encoding = 'StandardEncoding'
		, standardFonts = [
			['Helvetica', HELVETICA, NORMAL]
			, ['Helvetica-Bold', HELVETICA, BOLD]
			, ['Helvetica-Oblique', HELVETICA, ITALIC]
			, ['Helvetica-BoldOblique', HELVETICA, BOLD_ITALIC]
			, ['Courier', COURIER, NORMAL]
			, ['Courier-Bold', COURIER, BOLD]
			, ['Courier-Oblique', COURIER, ITALIC]
			, ['Courier-BoldOblique', COURIER, BOLD_ITALIC]
			, ['Times-Roman', TIMES, NORMAL]
			, ['Times-Bold', TIMES, BOLD]
			, ['Times-Italic', TIMES, ITALIC]
			, ['Times-BoldItalic', TIMES, BOLD_ITALIC]
		]

		var i, l, fontKey, parts
		for (i = 0, l = standardFonts.length; i < l; i++) {
			fontKey = addFont(
				standardFonts[i][0]
				, standardFonts[i][1]
				, standardFonts[i][2]
				, encoding
			)

			// adding aliases for standard fonts, this time matching the capitalization
			parts = standardFonts[i][0].split('-')
			addToFontDictionary(fontKey, parts[0], parts[1] || '')
		}

		events.publish('addFonts', {'fonts':fonts, 'dictionary':fontmap})
	}
	, putResourceDictionary = function() {
		out('/ProcSet [/PDF /Text /ImageB /ImageC /ImageI]')
		out('/Font <<')
		// Do this for each font, the '1' bit is the index of the font
		for (var fontKey in fonts) {
			if (fonts.hasOwnProperty(fontKey)) {
				out('/' + fontKey + ' ' + fonts[fontKey].objectNumber + ' 0 R')
			}
		}
		out('>>')
		out('/XObject <<')
		putXobjectDict()
		out('>>')
	}
	, putXobjectDict = function() {
		// Loop through images, or other data objects
		events.publish('putXobjectDict')
	}
	, putInfo = function() {
		out('/Producer (jsPDF ' + version + ')')
		if(documentProperties.title) {
			out('/Title (' + pdfEscape(documentProperties.title) + ')')
		}
		if(documentProperties.subject) {
			out('/Subject (' + pdfEscape(documentProperties.subject) + ')')
		}
		if(documentProperties.author) {
			out('/Author (' + pdfEscape(documentProperties.author) + ')')
		}
		if(documentProperties.keywords) {
			out('/Keywords (' + pdfEscape(documentProperties.keywords) + ')')
		}
		if(documentProperties.creator) {
			out('/Creator (' + pdfEscape(documentProperties.creator) + ')')
		}		
		var created = new Date()
		out('/CreationDate (D:' + 
			[
				created.getFullYear()
				, padd2(created.getMonth() + 1)
				, padd2(created.getDate())
				, padd2(created.getHours())
				, padd2(created.getMinutes())
				, padd2(created.getSeconds())
			].join('')+
			')'
		)
	}
	, putCatalog = function () {
		out('/Type /Catalog')
		out('/Pages 1 0 R')
		// @TODO: Add zoom and layout modes
		out('/OpenAction [3 0 R /FitH null]')
		out('/PageLayout /OneColumn')
	}	
	, putTrailer = function () {
		out('/Size ' + (objectNumber + 1))
		out('/Root ' + objectNumber + ' 0 R')
		out('/Info ' + (objectNumber - 1) + ' 0 R')
	}	
	, beginPage = function() {
		page ++
		// Do dimension stuff
		outToPages = true
		pages[page] = []
	}
	, _addPage = function() {
		beginPage()
		// Set line width
		out(f2(lineWidth * k) + ' w')
		// Set draw color
		out(drawColor)
		// resurrecting non-default line caps, joins
		if (lineCapID !== 0) out(lineCapID.toString(10)+' J')
		if (lineJoinID !== 0) out(lineJoinID.toString(10)+' j')

		events.publish('addPage', {'pageNumber':page})
	}
	/**
	Returns a document-specific font key - a label assigned to a
	font name + font type combination at the time the font was added
	to the font inventory.

	Font key is used as label for the desired font for a block of text
	to be added to the PDF document stream.
	@private
	@function
	@param fontName {String} can be undefined on "falthy" to indicate "use current"
	@param fontStyle {String} can be undefined on "falthy" to indicate "use current"
	@returns {String} Font key.
	*/
	, getFont = function(fontName, fontStyle) {
		var key, undef

		if (fontName === undef) {
			fontName = fonts[activeFontKey]['fontName']
		}
		if (fontStyle === undef) {
			fontStyle = fonts[activeFontKey]['fontStyle']
		}

		try {
			key = fontmap[fontName][fontStyle] // returns a string like 'F3' - the KEY corresponding tot he font + type combination.
		} catch (e) {
			key = undef
		}
		if (!key){
			throw new Error("Unable to look up font label for font '"+fontName+"', '"+fontStyle+"'. Refer to getFontList() for available fonts.")
		}

		return key
	}
	, buildDocument = function() {
		
		outToPages = false // switches out() to content
		content = []
		offsets = []
		
		// putHeader()
		out('%PDF-' + pdfVersion)
		
		putPages()
		
		putResources()

		// Info
		newObject()
		out('<<')
		putInfo()
		out('>>')
		out('endobj')
		
		// Catalog
		newObject()
		out('<<')
		putCatalog()
		out('>>')
		out('endobj')
		
		// Cross-ref
		var o = content_length
		out('xref')
		out('0 ' + (objectNumber + 1))
		out('0000000000 65535 f ')
		for (var i=1; i <= objectNumber; i++) {
			out(padd10(offsets[i]) + ' 00000 n ')
		}
		// Trailer
		out('trailer')
		out('<<')
		putTrailer()
		out('>>')
		out('startxref')
		out(o)
		out('%%EOF')
		
		outToPages = true
		
		return content.join('\n')
	}
	/**
	
	@public
	@function
	@param text {String} 
	@param flags {Object} Encoding flags.
	@returns {String} Encoded string
	*/
	, to8bitStream = function(text, flags){
		/* PDF 1.3 spec:
		"For text strings encoded in Unicode, the first two bytes must be 254 followed by
		255, representing the Unicode byte order marker, U+FEFF. (This sequence conflicts
		with the PDFDocEncoding character sequence thorn ydieresis, which is unlikely
		to be a meaningful beginning of a word or phrase.) The remainder of the
		string consists of Unicode character codes, according to the UTF-16 encoding
		specified in the Unicode standard, version 2.0. Commonly used Unicode values
		are represented as 2 bytes per character, with the high-order byte appearing first
		in the string."

		In other words, if there are chars in a string with char code above 255, we
		recode the string to UCS2 BE - string doubles in length and BOM is prepended.

		HOWEVER!
		Actual *content* (body) text (as opposed to strings used in document properties etc)
		does NOT expect BOM. There, it is treated as a literal GID (Glyph ID)

		Because of Adobe's focus on "you subset your fonts!" you are not supposed to have
		a font that maps directly Unicode (UCS2 / UTF16BE) code to font GID, but you could
		fudge it with "Identity-H" encoding and custom CIDtoGID map that mimics Unicode
		code page. There, however, all characters in the stream are treated as GIDs,
		including BOM, which is the reason we need to skip BOM in content text (i.e. that
		that is tied to a font).

		To signal this "special" PDFEscape / to8bitStream handling mode,
		API.text() function sets (unless you overwrite it with manual values
		given to API.text(.., flags) )
			flags.autoencode = true
			flags.noBOM = true

		*/

		/*
		`flags` properties relied upon:
		.sourceEncoding = string with encoding label. 
			"Unicode" by default. = encoding of the incoming text.
			pass some non-existing encoding name 
			(ex: 'Do not touch my strings! I know what I am doing.')
			to make encoding code skip the encoding step.
		.outputEncoding = Either valid PDF encoding name 
			(must be supported by jsPDF font metrics, otherwise no encoding)
			or a JS object, where key = sourceCharCode, value = outputCharCode
			missing keys will be treated as: sourceCharCode === outputCharCode
		.noBOM
			See comment higher above for explanation for why this is important
		.autoencode
			See comment higher above for explanation for why this is important
		*/

		var i, l, undef

		if (flags === undef) {
			flags = {}
		}

		var sourceEncoding = flags.sourceEncoding ? sourceEncoding : 'Unicode'
		, encodingBlock
		, outputEncoding = flags.outputEncoding
		, newtext
		, isUnicode, ch, bch
		// This 'encoding' section relies on font metrics format 
		// attached to font objects by, among others, 
		// "Willow Systems' standard_font_metrics plugin"
		// see jspdf.plugin.standard_font_metrics.js for format
		// of the font.metadata.encoding Object.
		// It should be something like
		//   .encoding = {'codePages':['WinANSI....'], 'WinANSI...':{code:code, ...}}
		//   .widths = {0:width, code:width, ..., 'fof':divisor}
		//   .kerning = {code:{previous_char_code:shift, ..., 'fof':-divisor},...}
		if ((flags.autoencode || outputEncoding ) && 
			fonts[activeFontKey].metadata &&
			fonts[activeFontKey].metadata[sourceEncoding] &&
			fonts[activeFontKey].metadata[sourceEncoding].encoding
		) {
			encodingBlock = fonts[activeFontKey].metadata[sourceEncoding].encoding
			
			// each font has default encoding. Some have it clearly defined.
			if (!outputEncoding && fonts[activeFontKey].encoding) {
				outputEncoding = fonts[activeFontKey].encoding
			}

			// Hmmm, the above did not work? Let's try again, in different place.
			if (!outputEncoding && encodingBlock.codePages) {
				outputEncoding = encodingBlock.codePages[0] // let's say, first one is the default
			}

			if (typeof outputEncoding === 'string') {
				outputEncoding = encodingBlock[outputEncoding]
			}
			// we want output encoding to be a JS Object, where
			// key = sourceEncoding's character code and 
			// value = outputEncoding's character code.
			if (outputEncoding) {
				isUnicode = false
				newtext = []
				for (i = 0, l = text.length; i < l; i++) {
					ch = outputEncoding[text.charCodeAt(i)]
					if (ch) {
						newtext.push(
							String.fromCharCode(ch)
						)
					} else {
						newtext.push(
							text[i]
						)
					}

					// since we are looping over chars anyway, might as well
					// check for residual unicodeness
					if (newtext[i].charCodeAt(0) >> 8 /* more than 255 */ ) {
						isUnicode = true
					}
				}
				text = newtext.join('')
			}
		}

		i = text.length
		// isUnicode may be set to false above. Hence the triple-equal to undefined
		while (isUnicode === undef && i !== 0){
			if ( text.charCodeAt(i - 1) >> 8 /* more than 255 */ ) {
				isUnicode = true
			}
			;i--;
		}
		if (!isUnicode) {
			return text
		} else {
			newtext = flags.noBOM ? [] : [254, 255]
			for (i = 0, l = text.length; i < l; i++) {
				ch = text.charCodeAt(i)
				bch = ch >> 8 // divide by 256
				if (bch >> 8 /* something left after dividing by 256 second time */ ) {
					throw new Error("Character at position "+i.toString(10)+" of string '"+text+"' exceeds 16bits. Cannot be encoded into UCS-2 BE")
				}
				newtext.push(bch)
				newtext.push(ch - ( bch << 8))
			}
			return String.fromCharCode.apply(undef, newtext)
		}
	}
	// Replace '/', '(', and ')' with pdf-safe versions
	, pdfEscape = function(text, flags) {
		// doing to8bitStream does NOT make this PDF display unicode text. For that
		// we also need to reference a unicode font and embed it - royal pain in the rear.

		// There is still a benefit to to8bitStream - PDF simply cannot handle 16bit chars,
		// which JavaScript Strings are happy to provide. So, while we still cannot display
		// 2-byte characters property, at least CONDITIONALLY converting (entire string containing) 
		// 16bit chars to (USC-2-BE) 2-bytes per char + BOM streams we ensure that entire PDF
		// is still parseable.
		// This will allow immediate support for unicode in document properties strings.
		return to8bitStream(text, flags).replace(/\\/g, '\\\\').replace(/\(/g, '\\(').replace(/\)/g, '\\)')
	}
	, getStyle = function(style){
		// see Path-Painting Operators of PDF spec
		var op = 'S'; // stroke
		if (style === 'F') {
			op = 'f'; // fill
		} else if (style === 'FD' || style === 'DF') {
			op = 'B'; // both
		}
		return op;
	}

	//---------------------------------------
	// Public API

	/*
	Object exposing internal API to plugins
	@public
	*/
	API.internal = {
		'pdfEscape': pdfEscape
		, 'getStyle': getStyle
		/**
		Returns {FontObject} describing a particular font.
		@public
		@function
		@param fontName {String} (Optional) Font's family name
		@param fontStyle {String} (Optional) Font's style variation name (Example:"Italic")
		@returns {FontObject}
		*/
		, 'getFont': function(){ return fonts[getFont.apply(API, arguments)] }
		, 'getFontSize': function() { return activeFontSize	}
		, 'btoa': btoa
		, 'write': function(string1, string2, string3, etc){
			out(
				arguments.length === 1? 
				arguments[0] : 
				Array.prototype.join.call(arguments, ' ')
			)
		}
		, 'getCoordinateString': function(value){
			return f2(value * k)
		}
		, 'getVerticalCoordinateString': function(value){
			return f2((pageHeight - value) * k)
		}
		, 'collections': {}
		, 'newObject': newObject
		, 'putStream': putStream
		, 'events': events
		// ratio that you use in multiplication of a given "size" number to arrive to 'point' 
		// units of measurement.
		// scaleFactor is set at initialization of the document and calculated against the stated 
		// default measurement units for the document.
		// If default is "mm", k is the number that will turn number in 'mm' into 'points' number.
		// through multiplication.
		, 'scaleFactor': k 
		, 'pageSize': {'width':pageWidth, 'height':pageHeight}
		, 'output': function(type, options) {
			return output(type, options);
		}
	}
	
	/**
	Adds (and transfers the focus to) new page to the PDF document.
	@function
	@returns {jsPDF} 

	@methodOf jsPDF#
	@name addPage
	 */
	API.addPage = function() {
		_addPage()
		return this
	}

	/**
	Adds text to page. Supports adding multiline text when 'text' argument is an Array of Strings. 
	@function
	@param {String|Array} text String or array of strings to be added to the page. Each line is shifted one line down per font, spacing settings declared before this call.
	@param {Number} x Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Object} flags Collection of settings signalling how the text must be encoded. Defaults are sane. If you think you want to pass some flags, you likely can read the source.
	@returns {jsPDF}
	@methodOf jsPDF#
	@name text
	 */
	API.text = function(text, x, y, flags) {
		/**
		 * Inserts something like this into PDF
			BT 
			/F1 16 Tf  % Font name + size
			16 TL % How many units down for next line in multiline text
			0 g % color
			28.35 813.54 Td % position
			(line one) Tj 
			T* (line two) Tj
			T* (line three) Tj
			ET
	 	*/
		
	 	var undef
		// Pre-August-2012 the order of arguments was function(x, y, text, flags)
		// in effort to make all calls have similar signature like 
		//   function(data, coordinates... , miscellaneous)
		// this method had its args flipped.
		// code below allows backward compatibility with old arg order.
		var _first, _second, _third
		if (typeof arguments[0] === 'number') {
			_first = arguments[2]
			_second = arguments[0]
			_third = arguments[1]

			text = _first 
			x = _second 
			y = _third
		}

		// If there are any newlines in text, we assume
		// the user wanted to print multiple lines, so break the
		// text up into an array.  If the text is already an array,
		// we assume the user knows what they are doing.
		if (typeof text === 'string' && text.match(/[\n\r]/)) {
			text = text.split(/\r\n|\r|\n/g)
		}

		if (typeof flags === 'undefined') {
			flags = {'noBOM':true,'autoencode':true}
		} else {

			if (flags.noBOM === undef) {
				flags.noBOM = true
			}

			if (flags.autoencode === undef) {
				flags.autoencode = true
			}

		}

		var newtext, str

		if (typeof text === 'string') {
			str = pdfEscape(text, flags)
		} else if (text instanceof Array) /* Array */{
			// we don't want to destroy  original text array, so cloning it
			newtext = text.concat()
			// we do array.join('text that must not be PDFescaped")
			// thus, pdfEscape each component separately
			for ( var i = newtext.length - 1; i !== -1 ; i--) {
				newtext[i] = pdfEscape( newtext[i], flags)
			}
			str = newtext.join( ") Tj\nT* (" )
		} else {
			throw new Error('Type of text must be string or Array. "'+text+'" is not recognized.')
		}
		// Using "'" ("go next line and render text" mark) would save space but would complicate our rendering code, templates 
		
		// BT .. ET does NOT have default settings for Tf. You must state that explicitely every time for BT .. ET
		// if you want text transformation matrix (+ multiline) to work reliably (which reads sizes of things from font declarations) 
		// Thus, there is NO useful, *reliable* concept of "default" font for a page. 
		// The fact that "default" (reuse font used before) font worked before in basic cases is an accident
		// - readers dealing smartly with brokenness of jsPDF's markup.
		out( 
			'BT\n/' +
			activeFontKey + ' ' + activeFontSize + ' Tf\n' + // font face, style, size
			activeFontSize + ' TL\n' + // line spacing
			textColor + 
			'\n' + f2(x * k) + ' ' + f2((pageHeight - y) * k) + ' Td\n(' + 
			str +
			') Tj\nET'
		)
		return this
	}

	API.line = function(x1, y1, x2, y2) {
		out(
			f2(x1 * k) + ' ' + f2((pageHeight - y1) * k) + ' m ' +
			f2(x2 * k) + ' ' + f2((pageHeight - y2) * k) + ' l S'			
		)
		return this
	}

	/**
	Adds series of curves (straight lines or cubic bezier curves) to canvas, starting at `x`, `y` coordinates.
	All data points in `lines` are relative to last line origin.
	`x`, `y` become x1,y1 for first line / curve in the set.
	For lines you only need to specify [x2, y2] - (ending point) vector against x1, y1 starting point.
	For bezier curves you need to specify [x2,y2,x3,y3,x4,y4] - vectors to control points 1, 2, ending point. All vectors are against the start of the curve - x1,y1.
	
	@example .lines([[2,2],[-2,2],[1,1,2,2,3,3],[2,1]], 212,110, 10) // line, line, bezier curve, line 
	@param {Array} lines Array of *vector* shifts as pairs (lines) or sextets (cubic bezier curves).
	@param {Number} x Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} scale (Defaults to [1.0,1.0]) x,y Scaling factor for all vectors. Elements can be any floating number Sub-one makes drawing smaller. Over-one grows the drawing. Negative flips the direction.   
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name lines
	 */
	API.lines = function(lines, x, y, scale, style) {
		var undef
		
		// Pre-August-2012 the order of arguments was function(x, y, lines, scale, style)
		// in effort to make all calls have similar signature like 
		//   function(content, coordinateX, coordinateY , miscellaneous)
		// this method had its args flipped.
		// code below allows backward compatibility with old arg order.
		var _first, _second, _third
		if (typeof arguments[0] === 'number') {
			_first = arguments[2]
			_second = arguments[0]
			_third = arguments[1]

			lines = _first 
			x = _second 
			y = _third
		}

		style = getStyle(style)
		scale = scale === undef ? [1,1] : scale

		// starting point
		out(f3(x * k) + ' ' + f3((pageHeight - y) * k) + ' m ')
		
		var scalex = scale[0]
		, scaley = scale[1]
		, i = 0
		, l = lines.length
		, leg
		, x2, y2 // bezier only. In page default measurement "units", *after* scaling
		, x3, y3 // bezier only. In page default measurement "units", *after* scaling
		// ending point for all, lines and bezier. . In page default measurement "units", *after* scaling
		, x4 = x // last / ending point = starting point for first item.
		, y4 = y // last / ending point = starting point for first item.
		
		for (; i < l; i++) {
			leg = lines[i]
			if (leg.length === 2){
				// simple line
				x4 = leg[0] * scalex + x4 // here last x4 was prior ending point
				y4 = leg[1] * scaley + y4 // here last y4 was prior ending point
				out(f3(x4 * k) + ' ' + f3((pageHeight - y4) * k) + ' l')					
			} else {
				// bezier curve
				x2 = leg[0] * scalex + x4 // here last x4 is prior ending point
				y2 = leg[1] * scaley + y4 // here last y4 is prior ending point					
				x3 = leg[2] * scalex + x4 // here last x4 is prior ending point
				y3 = leg[3] * scaley + y4 // here last y4 is prior ending point										
				x4 = leg[4] * scalex + x4 // here last x4 was prior ending point
				y4 = leg[5] * scaley + y4 // here last y4 was prior ending point
				out(
					f3(x2 * k) + ' ' + 
					f3((pageHeight - y2) * k) + ' ' +
					f3(x3 * k) + ' ' + 
					f3((pageHeight - y3) * k) + ' ' +
					f3(x4 * k) + ' ' + 
					f3((pageHeight - y4) * k) + ' c'
				)
			}
		}			
		// stroking / filling / both the path
		out(style) 
		return this
	}

	/**
	Adds a rectangle to PDF
	
	@param {Number} x Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} w Width (in units declared at inception of PDF document) 
	@param {Number} h Height (in units declared at inception of PDF document) 
	@param {String} style (Defaults to active fill/stroke style) A string signalling if stroke, fill or both are to be applied.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name rect
	 */
	API.rect = function(x, y, w, h, style) {
		var op = getStyle(style)
		out([
			f2(x * k)
			, f2((pageHeight - y) * k)
			, f2(w * k)
			, f2(-h * k)
			, 're'
			, op
		].join(' '))
		return this
	}

	/**
	Adds a triangle to PDF
	
	@param {Number} x1 Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y1 Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} x2 Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y2 Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} x3 Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y3 Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {String} style (Defaults to active fill/stroke style) A string signalling if stroke, fill or both are to be applied.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name triangle
	 */
	API.triangle = function(x1, y1, x2, y2, x3, y3, style) {
		this.lines(
			[
				[ x2 - x1 , y2 - y1 ] // vector to point 2
				, [ x3 - x2 , y3 - y2 ] // vector to point 3
				, [ x1 - x3 , y1 - y3 ] // closing vector back to point 1
			]
			, x1, y1 // start of path
			, [1,1]
			, style
		)
		return this;
	}
	
	/**
	Adds a rectangle with rounded corners to PDF
	
	@param {Number} x Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} w Width (in units declared at inception of PDF document) 
	@param {Number} h Height (in units declared at inception of PDF document) 
	@param {Number} rx Radius along x axis (in units declared at inception of PDF document) 
	@param {Number} rx Radius along y axis (in units declared at inception of PDF document) 
	@param {String} style (Defaults to active fill/stroke style) A string signalling if stroke, fill or both are to be applied.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name roundedRect
	*/
	API.roundedRect = function(x, y, w, h, rx, ry, style) {
		var MyArc = 4/3*(Math.SQRT2-1);
		this.lines(
			[
				[ (w-2*rx), 0 ] 
				, [ (rx*MyArc), 0, rx, ry-(ry*MyArc), rx, ry ] 
				, [ 0, (h-2*ry) ] 
				, [ 0, (ry*MyArc), -(rx*MyArc), ry, -rx, ry]
				, [ (-w+2*rx), 0]
				, [ -(rx*MyArc), 0, -rx, -(ry*MyArc), -rx, -ry]
				, [ 0, (-h+2*ry)]
				, [ 0, -(ry*MyArc), (rx*MyArc), -ry, rx, -ry]
			]
			, x+rx, y // start of path
			, [1,1]
			, style
		)
		return this;
	}

	/**
	Adds an ellipse to PDF
	
	@param {Number} x Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} rx Radius along x axis (in units declared at inception of PDF document) 
	@param {Number} rx Radius along y axis (in units declared at inception of PDF document) 
	@param {String} style (Defaults to active fill/stroke style) A string signalling if stroke, fill or both are to be applied.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name ellipse
	 */
	API.ellipse = function(x, y, rx, ry, style) {
		var op = getStyle(style)
		, lx = 4/3*(Math.SQRT2-1)*rx
		, ly = 4/3*(Math.SQRT2-1)*ry
		
		out([
			f2((x+rx)*k)
			, f2((pageHeight-y)*k)
			, 'm'
			, f2((x+rx)*k)
			, f2((pageHeight-(y-ly))*k)
			, f2((x+lx)*k)
			, f2((pageHeight-(y-ry))*k)
			, f2(x*k)
			, f2((pageHeight-(y-ry))*k)
			, 'c'
		].join(' '))
		out([
			f2((x-lx)*k)
			, f2((pageHeight-(y-ry))*k)
			, f2((x-rx)*k)
			, f2((pageHeight-(y-ly))*k)
			, f2((x-rx)*k)
			, f2((pageHeight-y)*k)
			, 'c'
		].join(' '))
		out([
			f2((x-rx)*k)
			, f2((pageHeight-(y+ly))*k)
			, f2((x-lx)*k)
			, f2((pageHeight-(y+ry))*k)
			, f2(x*k)
			, f2((pageHeight-(y+ry))*k)
			, 'c'
		].join(' '))
		out([
			f2((x+lx)*k)
			, f2((pageHeight-(y+ry))*k)
			, f2((x+rx)*k)
			, f2((pageHeight-(y+ly))*k)
			, f2((x+rx)*k)
			, f2((pageHeight-y)*k) 
			,'c'
			, op
		].join(' '))
		return this
	}

	/**
	Adds an circle to PDF
	
	@param {Number} x Coordinate (in units declared at inception of PDF document) against left edge of the page
	@param {Number} y Coordinate (in units declared at inception of PDF document) against upper edge of the page
	@param {Number} r Radius (in units declared at inception of PDF document) 
	@param {String} style (Defaults to active fill/stroke style) A string signalling if stroke, fill or both are to be applied.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name circle
	 */
	API.circle = function(x, y, r, style) {
		return this.ellipse(x, y, r, r, style)
	}

	/**
	Adds a properties to the PDF document
	
	@param {Object} A property_name-to-property_value object structure.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setProperties
	 */
	API.setProperties = function(properties) {
		// copying only those properties we can render.
		for (var property in documentProperties){
			if (documentProperties.hasOwnProperty(property) && properties[property]) {
				documentProperties[property] = properties[property]
			}
		}
		return this
	}

	/**
	Sets font size for upcoming text elements.
	
	@param {Number} size Font size in points.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setFontSize
	 */
	API.setFontSize = function(size) {
		activeFontSize = size
		return this
	}

	/**
	Sets text font face, variant for upcoming text elements.
	See output of jsPDF.getFontList() for possible font names, styles.
	
	@param {String} fontName Font name or family. Example: "times"
	@param {String} fontStyle Font style or variant. Example: "italic"
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setFont
	 */
	API.setFont = function(fontName, fontStyle) {
		activeFontKey = getFont(fontName, fontStyle)
		// if font is not found, the above line blows up and we never go further
		return this
	}

	/**
	Switches font style or variant for upcoming text elements,
	while keeping the font face or family same.
	See output of jsPDF.getFontList() for possible font names, styles.
	
	@param {String} style Font style or variant. Example: "italic"
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setFontStyle
	 */
	API.setFontStyle = API.setFontType = function(style) {
		var undef
		activeFontKey = getFont(undef, style)
		// if font is not found, the above line blows up and we never go further
		return this
	}

	/**
	Returns an object - a tree of fontName to fontStyle relationships available to 
	active PDF document. 

	@public
	@function
	@returns {Object} Like {'times':['normal', 'italic', ... ], 'arial':['normal', 'bold', ... ], ... }
	@methodOf jsPDF#
	@name getFontList
	*/
	API.getFontList = function(){
		// TODO: iterate over fonts array or return copy of fontmap instead in case more are ever added.
		var list = {}
		, fontName
		, fontStyle
		, tmp

		for (fontName in fontmap) {
			if (fontmap.hasOwnProperty(fontName)) {
				list[fontName] = tmp = []
				for (fontStyle in fontmap[fontName]){
					if (fontmap[fontName].hasOwnProperty(fontStyle)) {
						tmp.push(fontStyle)
					}
				}
			}
		}

		return list
	}

	/**
	Sets line width for upcoming lines.
	
	@param {Number} width Line width (in units declared at inception of PDF document)
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setLineWidth
	 */
	API.setLineWidth = function(width) {
		out((width * k).toFixed(2) + ' w')
		return this
	}

	/**
	Sets the stroke color for upcoming elements. 

	Depending on the number of arguments given, Gray, RGB, or CMYK
	color space is implied.

	When only ch1 is given, "Gray" color space is implied and it
	must be a value in the range from 0.00 (solid black) to to 1.00 (white)
	if values are communicated as String types, or in range from 0 (black)
	to 255 (white) if communicated as Number type.
	The RGB-like 0-255 range is provided for backward compatibility.

	When only ch1,ch2,ch3 are given, "RGB" color space is implied and each
	value must be in the range from 0.00 (minimum intensity) to to 1.00 
	(max intensity) if values are communicated as String types, or 
	from 0 (min intensity) to to 255 (max intensity) if values are communicated
	as Number types.
	The RGB-like 0-255 range is provided for backward compatibility.

	When ch1,ch2,ch3,ch4 are given, "CMYK" color space is implied and each
	value must be a in the range from 0.00 (0% concentration) to to 
	1.00 (100% concentration)

	Because JavaScript treats fixed point numbers badly (rounds to 
	floating point nearest to binary representation) it is highly advised to
	communicate the fractional numbers as String types, not JavaScript Number type.
	
	@param {Number|String} ch1 Color channel value
	@param {Number|String} ch2 Color channel value
	@param {Number|String} ch3 Color channel value
	@param {Number|String} ch4 Color channel value

	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setDrawColor
	 */
	API.setDrawColor = function(ch1,ch2,ch3,ch4) {
		var undefined
		, color
		if (ch2 === undefined || ( ch4 === undefined && ch1 === ch2 === ch3 ) ) {
			// Gray color space.
			if (typeof ch1 === 'string') {
				color = ch1 + ' G'
			} else {
				color = f2(ch1/255) + ' G'
			}
		} else if (ch4 === undefined) {
			// RGB
			if (typeof ch1 === 'string') {
				color = [ch1, ch2, ch3, 'RG'].join(' ')
			} else {
				color = [f2(ch1/255), f2(ch2/255), f2(ch3/255), 'RG'].join(' ')
			}
		} else {
			// CMYK
			if (typeof ch1 === 'string') {
				color = [ch1, ch2, ch3, ch4, 'K'].join(' ')
			} else {
				color = [f2(ch1), f2(ch2), f2(ch3), f2(ch4), 'K'].join(' ')
			}
		}

		out(color)
		return this
	}

	/**
	Sets the fill color for upcoming elements. 
	
	Depending on the number of arguments given, Gray, RGB, or CMYK
	color space is implied.

	When only ch1 is given, "Gray" color space is implied and it
	must be a value in the range from 0.00 (solid black) to to 1.00 (white)
	if values are communicated as String types, or in range from 0 (black)
	to 255 (white) if communicated as Number type.
	The RGB-like 0-255 range is provided for backward compatibility.

	When only ch1,ch2,ch3 are given, "RGB" color space is implied and each
	value must be in the range from 0.00 (minimum intensity) to to 1.00 
	(max intensity) if values are communicated as String types, or 
	from 0 (min intensity) to to 255 (max intensity) if values are communicated
	as Number types.
	The RGB-like 0-255 range is provided for backward compatibility.

	When ch1,ch2,ch3,ch4 are given, "CMYK" color space is implied and each
	value must be a in the range from 0.00 (0% concentration) to to 
	1.00 (100% concentration)

	Because JavaScript treats fixed point numbers badly (rounds to 
	floating point nearest to binary representation) it is highly advised to
	communicate the fractional numbers as String types, not JavaScript Number type.
	
	@param {Number|String} ch1 Color channel value
	@param {Number|String} ch2 Color channel value
	@param {Number|String} ch3 Color channel value
	@param {Number|String} ch4 Color channel value

	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setFillColor
	 */
	API.setFillColor = function(ch1, ch2, ch3, ch4) {
		var undefined
		, color

		if (ch2 === undefined || ( ch4 === undefined && ch1 === ch2 === ch3 ) ) {
			// Gray color space.
			if (typeof ch1 === 'string') {
				color = ch1 + ' g'
			} else {
				color = f2(r/255) + ' g'
			}
		} else if (ch4 === undefined) {
			// RGB
			if (typeof ch1 === 'string') {
				color = [ch1, ch2, ch3, 'rg'].join(' ')
			} else {
				color = [f2(ch1/255), f2(ch2/255), f2(ch3/255), 'rg'].join(' ')
			}
		} else {
			// CMYK
			if (typeof ch1 === 'string') {
				color = [ch1, ch2, ch3, ch4, 'k'].join(' ')
			} else {
				color = [f2(ch1), f2(ch2), f2(ch3), f2(ch4), 'k'].join(' ')
			}
		}

		out(color)
		return this
	}

	/**
	Sets the text color for upcoming elements. 
	If only one, first argument is given,
	treats the value as gray-scale color value.
	
	@param {Number} r Red channel color value in range 0-255
	@param {Number} g Green channel color value in range 0-255
	@param {Number} b Blue channel color value in range 0-255
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setTextColor
	*/
	API.setTextColor = function(r,g,b) {
		if ((r===0 && g===0 && b===0) || (typeof g === 'undefined')) {
			textColor = f3(r/255) + ' g'
		} else {
			textColor = [f3(r/255), f3(g/255), f3(b/255), 'rg'].join(' ')
		}
		return this
	}

	/**
	Is an Object providing a mapping from human-readable to
	integer flag values designating the varieties of line cap 
	and join styles.
	
	@returns {Object}
	@fieldOf jsPDF#
	@name CapJoinStyles
	*/
	API.CapJoinStyles = {
		0:0, 'butt':0, 'but':0, 'bevel':0
		, 1:1, 'round': 1, 'rounded':1, 'circle':1
		, 2:2, 'projecting':2, 'project':2, 'square':2, 'milter':2
	}

	/**
	Sets the line cap styles
	See {jsPDF.CapJoinStyles} for variants
	
	@param {String|Number} style A string or number identifying the type of line cap
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setLineCap
	*/
	API.setLineCap = function(style) {
		var undefined
		, id = this.CapJoinStyles[style]
		if (id === undefined) {
			throw new Error("Line cap style of '"+style+"' is not recognized. See or extend .CapJoinStyles property for valid styles")
		}
		lineCapID = id
		out(id.toString(10) + ' J')

		return this
	}

	/**
	Sets the line join styles
	See {jsPDF.CapJoinStyles} for variants
	
	@param {String|Number} style A string or number identifying the type of line join
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name setLineJoin
	*/
	API.setLineJoin = function(style) {
		var undefined
		, id = this.CapJoinStyles[style]
		if (id === undefined) {
			throw new Error("Line join style of '"+style+"' is not recognized. See or extend .CapJoinStyles property for valid styles")
		}
		lineJoinID = id
		out(id.toString(10) + ' j')

		return this
	}

	/**
	Generates the PDF document.
	Possible values:
		datauristring (alias dataurlstring) - Data-Url-formatted data returned as string.
		datauri (alias datauri) - Data-Url-formatted data pushed into current window's location (effectively reloading the window with contents of the PDF).
	
	If `type` argument is undefined, output is raw body of resulting PDF returned as a string.

	@param {String} type A string identifying one of the possible output types.
	@param {Object} options An object providing some additional signalling to PDF generator.
	@function
	@returns {jsPDF}
	@methodOf jsPDF#
	@name output
	*/
	var output = function(type, options) {
		var undef
		switch (type){
			case undef: 
				return buildDocument();
			case 'save':

				// If Safari - fallback to Data URL, sorry there's no way to feature detect this
				// @TODO: Refactor this
				$.browser.chrome = $.browser.webkit && !!window.chrome;
				$.browser.safari = $.browser.webkit && !window.chrome;

				if ($.browser.safari) {
					return API.output('dataurlnewwindow');
				}

				var bb = new BlobBuilder;
				var data = buildDocument();

				// Need to add the file to BlobBuilder as a Uint8Array
				var length = data.length;
				var array = new Uint8Array(new ArrayBuffer(length));

				for (var i = 0; i < length; i++) {
					array[i] = data.charCodeAt(i);
				}

				bb.append(array);

				var blob = bb.getBlob('application/pdf');
				saveAs(blob, options);
				break;
			case 'datauristring':
			case 'dataurlstring':
				return 'data:application/pdf;base64,' + btoa(buildDocument())
			case 'datauri':
			case 'dataurl':
				document.location.href = 'data:application/pdf;base64,' + btoa(buildDocument()); break;
				break;
			case 'dataurlnewwindow':
				window.open('data:application/pdf;base64,' + btoa(buildDocument()));
				break;
			default: throw new Error('Output type "'+type+'" is not supported.') 
		}
		// @TODO: Add different output options
	};

	// Output is both an internal (for plugins) and external function
	API.output = output;

	/**
	 * Saves as PDF document. An alias of jsPDF.output('save', 'filename.pdf')
	 * @param  {String} filename The filename including extension.
	 *
	 * @function
	 * @returns {jsPDF}
	 * @methodOf jsPDF#
	 * @name save
	 */
	API.save = function(filename) {
		API.output('save', filename);
	}

	// applying plugins (more methods) ON TOP of built-in API.
	// this is intentional as we allow plugins to override 
	// built-ins
	for (var plugin in jsPDF.API){
		if (jsPDF.API.hasOwnProperty(plugin)){
			if (plugin === 'events' && jsPDF.API.events.length) {
				(function(events, newEvents){

					// jsPDF.API.events is a JS Array of Arrays 
					// where each Array is a pair of event name, handler
					// Events were added by plugins to the jsPDF instantiator.
					// These are always added to the new instance and some ran
					// during instantiation.

					var eventname, handler_and_args

					for (var i = newEvents.length - 1; i !== -1; i--){
						// subscribe takes 3 args: 'topic', function, runonce_flag
						// if undefined, runonce is false.
						// users can attach callback directly, 
						// or they can attach an array with [callback, runonce_flag]
						// that's what the "apply" magic is for below.
						eventname = newEvents[i][0]
						handler_and_args = newEvents[i][1]
						events.subscribe.apply(
							events
							, [eventname].concat(
								typeof handler_and_args === 'function' ?
							  	[ handler_and_args ] :
							  	handler_and_args
							)
						)
					}
				})(events, jsPDF.API.events)
			} else {
				API[plugin] = jsPDF.API[plugin]
			}
		}
	}

	/////////////////////////////////////////
	// continuing initilisation of jsPDF Document object
	/////////////////////////////////////////


	// Add the first page automatically
	addFonts()
	activeFontKey = 'F1'
	_addPage()

	events.publish('initialized')

	return API
}

/**
jsPDF.API is a STATIC property of jsPDF class.
jsPDF.API is an object you can add methods and properties to.
The methods / properties you add will show up in new jsPDF objects.

One property is prepopulated. It is the 'events' Object. Plugin authors can add topics, callbacks to this object. These will be reassigned to all new instances of jsPDF. 
Examples: 
	jsPDF.API.events['initialized'] = function(){ 'this' is API object }
	jsPDF.API.events['addFont'] = function(added_font_object){ 'this' is API object }

@static
@public
@memberOf jsPDF
@name API

@example
	jsPDF.API.mymethod = function(){
		// 'this' will be ref to internal API object. see jsPDF source
		// , so you can refer to built-in methods like so: 
		//	 this.line(....)
		//	 this.text(....)
	}
	var pdfdoc = new jsPDF()
	pdfdoc.mymethod() // <- !!!!!!	
*/
jsPDF.API = {'events':[]}

return jsPDF
})()
'
ninejsn = 'jquery-ui-1.8.17.custom.min.js'
ninejsd = '/*!
 * jQuery UI 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI
 */(function(a,b){function d(b){return!a(b).parents().andSelf().filter(function(){return a.curCSS(this,"visibility")==="hidden"||a.expr.filters.hidden(this)}).length}function c(b,c){var e=b.nodeName.toLowerCase();if("area"===e){var f=b.parentNode,g=f.name,h;if(!b.href||!g||f.nodeName.toLowerCase()!=="map")return!1;h=a("img[usemap=#"+g+"]")[0];return!!h&&d(h)}return(/input|select|textarea|button|object/.test(e)?!b.disabled:"a"==e?b.href||c:c)&&d(b)}a.ui=a.ui||{};a.ui.version||(a.extend(a.ui,{version:"1.8.17",keyCode:{ALT:18,BACKSPACE:8,CAPS_LOCK:20,COMMA:188,COMMAND:91,COMMAND_LEFT:91,COMMAND_RIGHT:93,CONTROL:17,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,INSERT:45,LEFT:37,MENU:93,NUMPAD_ADD:107,NUMPAD_DECIMAL:110,NUMPAD_DIVIDE:111,NUMPAD_ENTER:108,NUMPAD_MULTIPLY:106,NUMPAD_SUBTRACT:109,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SHIFT:16,SPACE:32,TAB:9,UP:38,WINDOWS:91}}),a.fn.extend({propAttr:a.fn.prop||a.fn.attr,_focus:a.fn.focus,focus:function(b,c){return typeof b=="number"?this.each(function(){var d=this;setTimeout(function(){a(d).focus(),c&&c.call(d)},b)}):this._focus.apply(this,arguments)},scrollParent:function(){var b;a.browser.msie&&/(static|relative)/.test(this.css("position"))||/absolute/.test(this.css("position"))?b=this.parents().filter(function(){return/(relative|absolute|fixed)/.test(a.curCSS(this,"position",1))&&/(auto|scroll)/.test(a.curCSS(this,"overflow",1)+a.curCSS(this,"overflow-y",1)+a.curCSS(this,"overflow-x",1))}).eq(0):b=this.parents().filter(function(){return/(auto|scroll)/.test(a.curCSS(this,"overflow",1)+a.curCSS(this,"overflow-y",1)+a.curCSS(this,"overflow-x",1))}).eq(0);return/fixed/.test(this.css("position"))||!b.length?a(document):b},zIndex:function(c){if(c!==b)return this.css("zIndex",c);if(this.length){var d=a(this[0]),e,f;while(d.length&&d[0]!==document){e=d.css("position");if(e==="absolute"||e==="relative"||e==="fixed"){f=parseInt(d.css("zIndex"),10);if(!isNaN(f)&&f!==0)return f}d=d.parent()}}return 0},disableSelection:function(){return this.bind((a.support.selectstart?"selectstart":"mousedown")+".ui-disableSelection",function(a){a.preventDefault()})},enableSelection:function(){return this.unbind(".ui-disableSelection")}}),a.each(["Width","Height"],function(c,d){function h(b,c,d,f){a.each(e,function(){c-=parseFloat(a.curCSS(b,"padding"+this,!0))||0,d&&(c-=parseFloat(a.curCSS(b,"border"+this+"Width",!0))||0),f&&(c-=parseFloat(a.curCSS(b,"margin"+this,!0))||0)});return c}var e=d==="Width"?["Left","Right"]:["Top","Bottom"],f=d.toLowerCase(),g={innerWidth:a.fn.innerWidth,innerHeight:a.fn.innerHeight,outerWidth:a.fn.outerWidth,outerHeight:a.fn.outerHeight};a.fn["inner"+d]=function(c){if(c===b)return g["inner"+d].call(this);return this.each(function(){a(this).css(f,h(this,c)+"px")})},a.fn["outer"+d]=function(b,c){if(typeof b!="number")return g["outer"+d].call(this,b);return this.each(function(){a(this).css(f,h(this,b,!0,c)+"px")})}}),a.extend(a.expr[":"],{data:function(b,c,d){return!!a.data(b,d[3])},focusable:function(b){return c(b,!isNaN(a.attr(b,"tabindex")))},tabbable:function(b){var d=a.attr(b,"tabindex"),e=isNaN(d);return(e||d>=0)&&c(b,!e)}}),a(function(){var b=document.body,c=b.appendChild(c=document.createElement("div"));a.extend(c.style,{minHeight:"100px",height:"auto",padding:0,borderWidth:0}),a.support.minHeight=c.offsetHeight===100,a.support.selectstart="onselectstart"in c,b.removeChild(c).style.display="none"}),a.extend(a.ui,{plugin:{add:function(b,c,d){var e=a.ui[b].prototype;for(var f in d)e.plugins[f]=e.plugins[f]||[],e.plugins[f].push([c,d[f]])},call:function(a,b,c){var d=a.plugins[b];if(!!d&&!!a.element[0].parentNode)for(var e=0;e<d.length;e++)a.options[d[e][0]]&&d[e][1].apply(a.element,c)}},contains:function(a,b){return document.compareDocumentPosition?a.compareDocumentPosition(b)&16:a!==b&&a.contains(b)},hasScroll:function(b,c){if(a(b).css("overflow")==="hidden")return!1;var d=c&&c==="left"?"scrollLeft":"scrollTop",e=!1;if(b[d]>0)return!0;b[d]=1,e=b[d]>0,b[d]=0;return e},isOverAxis:function(a,b,c){return a>b&&a<b+c},isOver:function(b,c,d,e,f,g){return a.ui.isOverAxis(b,d,f)&&a.ui.isOverAxis(c,e,g)}}))})(jQuery);/*!
 * jQuery UI Widget 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Widget
 */(function(a,b){if(a.cleanData){var c=a.cleanData;a.cleanData=function(b){for(var d=0,e;(e=b[d])!=null;d++)try{a(e).triggerHandler("remove")}catch(f){}c(b)}}else{var d=a.fn.remove;a.fn.remove=function(b,c){return this.each(function(){c||(!b||a.filter(b,[this]).length)&&a("*",this).add([this]).each(function(){try{a(this).triggerHandler("remove")}catch(b){}});return d.call(a(this),b,c)})}}a.widget=function(b,c,d){var e=b.split(".")[0],f;b=b.split(".")[1],f=e+"-"+b,d||(d=c,c=a.Widget),a.expr[":"][f]=function(c){return!!a.data(c,b)},a[e]=a[e]||{},a[e][b]=function(a,b){arguments.length&&this._createWidget(a,b)};var g=new c;g.options=a.extend(!0,{},g.options),a[e][b].prototype=a.extend(!0,g,{namespace:e,widgetName:b,widgetEventPrefix:a[e][b].prototype.widgetEventPrefix||b,widgetBaseClass:f},d),a.widget.bridge(b,a[e][b])},a.widget.bridge=function(c,d){a.fn[c]=function(e){var f=typeof e=="string",g=Array.prototype.slice.call(arguments,1),h=this;e=!f&&g.length?a.extend.apply(null,[!0,e].concat(g)):e;if(f&&e.charAt(0)==="_")return h;f?this.each(function(){var d=a.data(this,c),f=d&&a.isFunction(d[e])?d[e].apply(d,g):d;if(f!==d&&f!==b){h=f;return!1}}):this.each(function(){var b=a.data(this,c);b?b.option(e||{})._init():a.data(this,c,new d(e,this))});return h}},a.Widget=function(a,b){arguments.length&&this._createWidget(a,b)},a.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",options:{disabled:!1},_createWidget:function(b,c){a.data(c,this.widgetName,this),this.element=a(c),this.options=a.extend(!0,{},this.options,this._getCreateOptions(),b);var d=this;this.element.bind("remove."+this.widgetName,function(){d.destroy()}),this._create(),this._trigger("create"),this._init()},_getCreateOptions:function(){return a.metadata&&a.metadata.get(this.element[0])[this.widgetName]},_create:function(){},_init:function(){},destroy:function(){this.element.unbind("."+this.widgetName).removeData(this.widgetName),this.widget().unbind("."+this.widgetName).removeAttr("aria-disabled").removeClass(this.widgetBaseClass+"-disabled "+"ui-state-disabled")},widget:function(){return this.element},option:function(c,d){var e=c;if(arguments.length===0)return a.extend({},this.options);if(typeof c=="string"){if(d===b)return this.options[c];e={},e[c]=d}this._setOptions(e);return this},_setOptions:function(b){var c=this;a.each(b,function(a,b){c._setOption(a,b)});return this},_setOption:function(a,b){this.options[a]=b,a==="disabled"&&this.widget()[b?"addClass":"removeClass"](this.widgetBaseClass+"-disabled"+" "+"ui-state-disabled").attr("aria-disabled",b);return this},enable:function(){return this._setOption("disabled",!1)},disable:function(){return this._setOption("disabled",!0)},_trigger:function(b,c,d){var e,f,g=this.options[b];d=d||{},c=a.Event(c),c.type=(b===this.widgetEventPrefix?b:this.widgetEventPrefix+b).toLowerCase(),c.target=this.element[0],f=c.originalEvent;if(f)for(e in f)e in c||(c[e]=f[e]);this.element.trigger(c,d);return!(a.isFunction(g)&&g.call(this.element[0],c,d)===!1||c.isDefaultPrevented())}}})(jQuery);/*!
 * jQuery UI Mouse 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Mouse
 *
 * Depends:
 *	jquery.ui.widget.js
 */(function(a,b){var c=!1;a(document).mouseup(function(a){c=!1}),a.widget("ui.mouse",{options:{cancel:":input,option",distance:1,delay:0},_mouseInit:function(){var b=this;this.element.bind("mousedown."+this.widgetName,function(a){return b._mouseDown(a)}).bind("click."+this.widgetName,function(c){if(!0===a.data(c.target,b.widgetName+".preventClickEvent")){a.removeData(c.target,b.widgetName+".preventClickEvent"),c.stopImmediatePropagation();return!1}}),this.started=!1},_mouseDestroy:function(){this.element.unbind("."+this.widgetName)},_mouseDown:function(b){if(!c){this._mouseStarted&&this._mouseUp(b),this._mouseDownEvent=b;var d=this,e=b.which==1,f=typeof this.options.cancel=="string"&&b.target.nodeName?a(b.target).closest(this.options.cancel).length:!1;if(!e||f||!this._mouseCapture(b))return!0;this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){d.mouseDelayMet=!0},this.options.delay));if(this._mouseDistanceMet(b)&&this._mouseDelayMet(b)){this._mouseStarted=this._mouseStart(b)!==!1;if(!this._mouseStarted){b.preventDefault();return!0}}!0===a.data(b.target,this.widgetName+".preventClickEvent")&&a.removeData(b.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(a){return d._mouseMove(a)},this._mouseUpDelegate=function(a){return d._mouseUp(a)},a(document).bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate),b.preventDefault(),c=!0;return!0}},_mouseMove:function(b){if(a.browser.msie&&!(document.documentMode>=9)&&!b.button)return this._mouseUp(b);if(this._mouseStarted){this._mouseDrag(b);return b.preventDefault()}this._mouseDistanceMet(b)&&this._mouseDelayMet(b)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,b)!==!1,this._mouseStarted?this._mouseDrag(b):this._mouseUp(b));return!this._mouseStarted},_mouseUp:function(b){a(document).unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,b.target==this._mouseDownEvent.target&&a.data(b.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(b));return!1},_mouseDistanceMet:function(a){return Math.max(Math.abs(this._mouseDownEvent.pageX-a.pageX),Math.abs(this._mouseDownEvent.pageY-a.pageY))>=this.options.distance},_mouseDelayMet:function(a){return this.mouseDelayMet},_mouseStart:function(a){},_mouseDrag:function(a){},_mouseStop:function(a){},_mouseCapture:function(a){return!0}})})(jQuery);/*
 * jQuery UI Position 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Position
 */(function(a,b){a.ui=a.ui||{};var c=/left|center|right/,d=/top|center|bottom/,e="center",f={},g=a.fn.position,h=a.fn.offset;a.fn.position=function(b){if(!b||!b.of)return g.apply(this,arguments);b=a.extend({},b);var h=a(b.of),i=h[0],j=(b.collision||"flip").split(" "),k=b.offset?b.offset.split(" "):[0,0],l,m,n;i.nodeType===9?(l=h.width(),m=h.height(),n={top:0,left:0}):i.setTimeout?(l=h.width(),m=h.height(),n={top:h.scrollTop(),left:h.scrollLeft()}):i.preventDefault?(b.at="left top",l=m=0,n={top:b.of.pageY,left:b.of.pageX}):(l=h.outerWidth(),m=h.outerHeight(),n=h.offset()),a.each(["my","at"],function(){var a=(b[this]||"").split(" ");a.length===1&&(a=c.test(a[0])?a.concat([e]):d.test(a[0])?[e].concat(a):[e,e]),a[0]=c.test(a[0])?a[0]:e,a[1]=d.test(a[1])?a[1]:e,b[this]=a}),j.length===1&&(j[1]=j[0]),k[0]=parseInt(k[0],10)||0,k.length===1&&(k[1]=k[0]),k[1]=parseInt(k[1],10)||0,b.at[0]==="right"?n.left+=l:b.at[0]===e&&(n.left+=l/2),b.at[1]==="bottom"?n.top+=m:b.at[1]===e&&(n.top+=m/2),n.left+=k[0],n.top+=k[1];return this.each(function(){var c=a(this),d=c.outerWidth(),g=c.outerHeight(),h=parseInt(a.curCSS(this,"marginLeft",!0))||0,i=parseInt(a.curCSS(this,"marginTop",!0))||0,o=d+h+(parseInt(a.curCSS(this,"marginRight",!0))||0),p=g+i+(parseInt(a.curCSS(this,"marginBottom",!0))||0),q=a.extend({},n),r;b.my[0]==="right"?q.left-=d:b.my[0]===e&&(q.left-=d/2),b.my[1]==="bottom"?q.top-=g:b.my[1]===e&&(q.top-=g/2),f.fractions||(q.left=Math.round(q.left),q.top=Math.round(q.top)),r={left:q.left-h,top:q.top-i},a.each(["left","top"],function(c,e){a.ui.position[j[c]]&&a.ui.position[j[c]][e](q,{targetWidth:l,targetHeight:m,elemWidth:d,elemHeight:g,collisionPosition:r,collisionWidth:o,collisionHeight:p,offset:k,my:b.my,at:b.at})}),a.fn.bgiframe&&c.bgiframe(),c.offset(a.extend(q,{using:b.using}))})},a.ui.position={fit:{left:function(b,c){var d=a(window),e=c.collisionPosition.left+c.collisionWidth-d.width()-d.scrollLeft();b.left=e>0?b.left-e:Math.max(b.left-c.collisionPosition.left,b.left)},top:function(b,c){var d=a(window),e=c.collisionPosition.top+c.collisionHeight-d.height()-d.scrollTop();b.top=e>0?b.top-e:Math.max(b.top-c.collisionPosition.top,b.top)}},flip:{left:function(b,c){if(c.at[0]!==e){var d=a(window),f=c.collisionPosition.left+c.collisionWidth-d.width()-d.scrollLeft(),g=c.my[0]==="left"?-c.elemWidth:c.my[0]==="right"?c.elemWidth:0,h=c.at[0]==="left"?c.targetWidth:-c.targetWidth,i=-2*c.offset[0];b.left+=c.collisionPosition.left<0?g+h+i:f>0?g+h+i:0}},top:function(b,c){if(c.at[1]!==e){var d=a(window),f=c.collisionPosition.top+c.collisionHeight-d.height()-d.scrollTop(),g=c.my[1]==="top"?-c.elemHeight:c.my[1]==="bottom"?c.elemHeight:0,h=c.at[1]==="top"?c.targetHeight:-c.targetHeight,i=-2*c.offset[1];b.top+=c.collisionPosition.top<0?g+h+i:f>0?g+h+i:0}}}},a.offset.setOffset||(a.offset.setOffset=function(b,c){/static/.test(a.curCSS(b,"position"))&&(b.style.position="relative");var d=a(b),e=d.offset(),f=parseInt(a.curCSS(b,"top",!0),10)||0,g=parseInt(a.curCSS(b,"left",!0),10)||0,h={top:c.top-e.top+f,left:c.left-e.left+g};"using"in c?c.using.call(b,h):d.css(h)},a.fn.offset=function(b){var c=this[0];if(!c||!c.ownerDocument)return null;if(b)return this.each(function(){a.offset.setOffset(this,b)});return h.call(this)}),function(){var b=document.getElementsByTagName("body")[0],c=document.createElement("div"),d,e,g,h,i;d=document.createElement(b?"div":"body"),g={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},b&&jQuery.extend(g,{position:"absolute",left:"-1000px",top:"-1000px"});for(var j in g)d.style[j]=g[j];d.appendChild(c),e=b||document.documentElement,e.insertBefore(d,e.firstChild),c.style.cssText="position: absolute; left: 10.7432222px; top: 10.432325px; height: 30px; width: 201px;",h=a(c).offset(function(a,b){return b}).offset(),d.innerHTML="",e.removeChild(d),i=h.top+h.left+(b?2e3:0),f.fractions=i>21&&i<22}()})(jQuery);/*
 * jQuery UI Draggable 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Draggables
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.mouse.js
 *	jquery.ui.widget.js
 */(function(a,b){a.widget("ui.draggable",a.ui.mouse,{widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1},_create:function(){this.options.helper=="original"&&!/^(?:r|a|f)/.test(this.element.css("position"))&&(this.element[0].style.position="relative"),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._mouseInit()},destroy:function(){if(!!this.element.data("draggable")){this.element.removeData("draggable").unbind(".draggable").removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._mouseDestroy();return this}},_mouseCapture:function(b){var c=this.options;if(this.helper||c.disabled||a(b.target).is(".ui-resizable-handle"))return!1;this.handle=this._getHandle(b);if(!this.handle)return!1;c.iframeFix&&a(c.iframeFix===!0?"iframe":c.iframeFix).each(function(){a('<div class="ui-draggable-iframeFix" style="background: #fff;"></div>').css({width:this.offsetWidth+"px",height:this.offsetHeight+"px",position:"absolute",opacity:"0.001",zIndex:1e3}).css(a(this).offset()).appendTo("body")});return!0},_mouseStart:function(b){var c=this.options;this.helper=this._createHelper(b),this._cacheHelperProportions(),a.ui.ddmanager&&(a.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(),this.offset=this.positionAbs=this.element.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},a.extend(this.offset,{click:{left:b.pageX-this.offset.left,top:b.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.originalPosition=this.position=this._generatePosition(b),this.originalPageX=b.pageX,this.originalPageY=b.pageY,c.cursorAt&&this._adjustOffsetFromHelper(c.cursorAt),c.containment&&this._setContainment();if(this._trigger("start",b)===!1){this._clear();return!1}this._cacheHelperProportions(),a.ui.ddmanager&&!c.dropBehaviour&&a.ui.ddmanager.prepareOffsets(this,b),this.helper.addClass("ui-draggable-dragging"),this._mouseDrag(b,!0),a.ui.ddmanager&&a.ui.ddmanager.dragStart(this,b);return!0},_mouseDrag:function(b,c){this.position=this._generatePosition(b),this.positionAbs=this._convertPositionTo("absolute");if(!c){var d=this._uiHash();if(this._trigger("drag",b,d)===!1){this._mouseUp({});return!1}this.position=d.position}if(!this.options.axis||this.options.axis!="y")this.helper[0].style.left=this.position.left+"px";if(!this.options.axis||this.options.axis!="x")this.helper[0].style.top=this.position.top+"px";a.ui.ddmanager&&a.ui.ddmanager.drag(this,b);return!1},_mouseStop:function(b){var c=!1;a.ui.ddmanager&&!this.options.dropBehaviour&&(c=a.ui.ddmanager.drop(this,b)),this.dropped&&(c=this.dropped,this.dropped=!1);if((!this.element[0]||!this.element[0].parentNode)&&this.options.helper=="original")return!1;if(this.options.revert=="invalid"&&!c||this.options.revert=="valid"&&c||this.options.revert===!0||a.isFunction(this.options.revert)&&this.options.revert.call(this.element,c)){var d=this;a(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){d._trigger("stop",b)!==!1&&d._clear()})}else this._trigger("stop",b)!==!1&&this._clear();return!1},_mouseUp:function(b){this.options.iframeFix===!0&&a("div.ui-draggable-iframeFix").each(function(){this.parentNode.removeChild(this)}),a.ui.ddmanager&&a.ui.ddmanager.dragStop(this,b);return a.ui.mouse.prototype._mouseUp.call(this,b)},cancel:function(){this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear();return this},_getHandle:function(b){var c=!this.options.handle||!a(this.options.handle,this.element).length?!0:!1;a(this.options.handle,this.element).find("*").andSelf().each(function(){this==b.target&&(c=!0)});return c},_createHelper:function(b){var c=this.options,d=a.isFunction(c.helper)?a(c.helper.apply(this.element[0],[b])):c.helper=="clone"?this.element.clone().removeAttr("id"):this.element;d.parents("body").length||d.appendTo(c.appendTo=="parent"?this.element[0].parentNode:c.appendTo),d[0]!=this.element[0]&&!/(fixed|absolute)/.test(d.css("position"))&&d.css("position","absolute");return d},_adjustOffsetFromHelper:function(b){typeof b=="string"&&(b=b.split(" ")),a.isArray(b)&&(b={left:+b[0],top:+b[1]||0}),"left"in b&&(this.offset.click.left=b.left+this.margins.left),"right"in b&&(this.offset.click.left=this.helperProportions.width-b.right+this.margins.left),"top"in b&&(this.offset.click.top=b.top+this.margins.top),"bottom"in b&&(this.offset.click.top=this.helperProportions.height-b.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var b=this.offsetParent.offset();this.cssPosition=="absolute"&&this.scrollParent[0]!=document&&a.ui.contains(this.scrollParent[0],this.offsetParent[0])&&(b.left+=this.scrollParent.scrollLeft(),b.top+=this.scrollParent.scrollTop());if(this.offsetParent[0]==document.body||this.offsetParent[0].tagName&&this.offsetParent[0].tagName.toLowerCase()=="html"&&a.browser.msie)b={top:0,left:0};return{top:b.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:b.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if(this.cssPosition=="relative"){var a=this.element.position();return{top:a.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:a.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var b=this.options;b.containment=="parent"&&(b.containment=this.helper[0].parentNode);if(b.containment=="document"||b.containment=="window")this.containment=[b.containment=="document"?0:a(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,b.containment=="document"?0:a(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,(b.containment=="document"?0:a(window).scrollLeft())+a(b.containment=="document"?document:window).width()-this.helperProportions.width-this.margins.left,(b.containment=="document"?0:a(window).scrollTop())+(a(b.containment=="document"?document:window).height()||document.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top];if(!/^(document|window|parent)$/.test(b.containment)&&b.containment.constructor!=Array){var c=a(b.containment),d=c[0];if(!d)return;var e=c.offset(),f=a(d).css("overflow")!="hidden";this.containment=[(parseInt(a(d).css("borderLeftWidth"),10)||0)+(parseInt(a(d).css("paddingLeft"),10)||0),(parseInt(a(d).css("borderTopWidth"),10)||0)+(parseInt(a(d).css("paddingTop"),10)||0),(f?Math.max(d.scrollWidth,d.offsetWidth):d.offsetWidth)-(parseInt(a(d).css("borderLeftWidth"),10)||0)-(parseInt(a(d).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(f?Math.max(d.scrollHeight,d.offsetHeight):d.offsetHeight)-(parseInt(a(d).css("borderTopWidth"),10)||0)-(parseInt(a(d).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relative_container=c}else b.containment.constructor==Array&&(this.containment=b.containment)},_convertPositionTo:function(b,c){c||(c=this.position);var d=b=="absolute"?1:-1,e=this.options,f=this.cssPosition=="absolute"&&(this.scrollParent[0]==document||!a.ui.contains(this.scrollParent[0],this.offsetParent[0]))?this.offsetParent:this.scrollParent,g=/(html|body)/i.test(f[0].tagName);return{top:c.top+this.offset.relative.top*d+this.offset.parent.top*d-(a.browser.safari&&a.browser.version<526&&this.cssPosition=="fixed"?0:(this.cssPosition=="fixed"?-this.scrollParent.scrollTop():g?0:f.scrollTop())*d),left:c.left+this.offset.relative.left*d+this.offset.parent.left*d-(a.browser.safari&&a.browser.version<526&&this.cssPosition=="fixed"?0:(this.cssPosition=="fixed"?-this.scrollParent.scrollLeft():g?0:f.scrollLeft())*d)}},_generatePosition:function(b){var c=this.options,d=this.cssPosition=="absolute"&&(this.scrollParent[0]==document||!a.ui.contains(this.scrollParent[0],this.offsetParent[0]))?this.offsetParent:this.scrollParent,e=/(html|body)/i.test(d[0].tagName),f=b.pageX,g=b.pageY;if(this.originalPosition){var h;if(this.containment){if(this.relative_container){var i=this.relative_container.offset();h=[this.containment[0]+i.left,this.containment[1]+i.top,this.containment[2]+i.left,this.containment[3]+i.top]}else h=this.containment;b.pageX-this.offset.click.left<h[0]&&(f=h[0]+this.offset.click.left),b.pageY-this.offset.click.top<h[1]&&(g=h[1]+this.offset.click.top),b.pageX-this.offset.click.left>h[2]&&(f=h[2]+this.offset.click.left),b.pageY-this.offset.click.top>h[3]&&(g=h[3]+this.offset.click.top)}if(c.grid){var j=c.grid[1]?this.originalPageY+Math.round((g-this.originalPageY)/c.grid[1])*c.grid[1]:this.originalPageY;g=h?j-this.offset.click.top<h[1]||j-this.offset.click.top>h[3]?j-this.offset.click.top<h[1]?j+c.grid[1]:j-c.grid[1]:j:j;var k=c.grid[0]?this.originalPageX+Math.round((f-this.originalPageX)/c.grid[0])*c.grid[0]:this.originalPageX;f=h?k-this.offset.click.left<h[0]||k-this.offset.click.left>h[2]?k-this.offset.click.left<h[0]?k+c.grid[0]:k-c.grid[0]:k:k}}return{top:g-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+(a.browser.safari&&a.browser.version<526&&this.cssPosition=="fixed"?0:this.cssPosition=="fixed"?-this.scrollParent.scrollTop():e?0:d.scrollTop()),left:f-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+(a.browser.safari&&a.browser.version<526&&this.cssPosition=="fixed"?0:this.cssPosition=="fixed"?-this.scrollParent.scrollLeft():e?0:d.scrollLeft())}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]!=this.element[0]&&!this.cancelHelperRemoval&&this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1},_trigger:function(b,c,d){d=d||this._uiHash(),a.ui.plugin.call(this,b,[c,d]),b=="drag"&&(this.positionAbs=this._convertPositionTo("absolute"));return a.Widget.prototype._trigger.call(this,b,c,d)},plugins:{},_uiHash:function(a){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),a.extend(a.ui.draggable,{version:"1.8.17"}),a.ui.plugin.add("draggable","connectToSortable",{start:function(b,c){var d=a(this).data("draggable"),e=d.options,f=a.extend({},c,{item:d.element});d.sortables=[],a(e.connectToSortable).each(function(){var c=a.data(this,"sortable");c&&!c.options.disabled&&(d.sortables.push({instance:c,shouldRevert:c.options.revert}),c.refreshPositions(),c._trigger("activate",b,f))})},stop:function(b,c){var d=a(this).data("draggable"),e=a.extend({},c,{item:d.element});a.each(d.sortables,function(){this.instance.isOver?(this.instance.isOver=0,d.cancelHelperRemoval=!0,this.instance.cancelHelperRemoval=!1,this.shouldRevert&&(this.instance.options.revert=!0),this.instance._mouseStop(b),this.instance.options.helper=this.instance.options._helper,d.options.helper=="original"&&this.instance.currentItem.css({top:"auto",left:"auto"})):(this.instance.cancelHelperRemoval=!1,this.instance._trigger("deactivate",b,e))})},drag:function(b,c){var d=a(this).data("draggable"),e=this,f=function(b){var c=this.offset.click.top,d=this.offset.click.left,e=this.positionAbs.top,f=this.positionAbs.left,g=b.height,h=b.width,i=b.top,j=b.left;return a.ui.isOver(e+c,f+d,i,j,g,h)};a.each(d.sortables,function(f){this.instance.positionAbs=d.positionAbs,this.instance.helperProportions=d.helperProportions,this.instance.offset.click=d.offset.click,this.instance._intersectsWith(this.instance.containerCache)?(this.instance.isOver||(this.instance.isOver=1,this.instance.currentItem=a(e).clone().removeAttr("id").appendTo(this.instance.element).data("sortable-item",!0),this.instance.options._helper=this.instance.options.helper,this.instance.options.helper=function(){return c.helper[0]},b.target=this.instance.currentItem[0],this.instance._mouseCapture(b,!0),this.instance._mouseStart(b,!0,!0),this.instance.offset.click.top=d.offset.click.top,this.instance.offset.click.left=d.offset.click.left,this.instance.offset.parent.left-=d.offset.parent.left-this.instance.offset.parent.left,this.instance.offset.parent.top-=d.offset.parent.top-this.instance.offset.parent.top,d._trigger("toSortable",b),d.dropped=this.instance.element,d.currentItem=d.element,this.instance.fromOutside=d),this.instance.currentItem&&this.instance._mouseDrag(b)):this.instance.isOver&&(this.instance.isOver=0,this.instance.cancelHelperRemoval=!0,this.instance.options.revert=!1,this.instance._trigger("out",b,this.instance._uiHash(this.instance)),this.instance._mouseStop(b,!0),this.instance.options.helper=this.instance.options._helper,this.instance.currentItem.remove(),this.instance.placeholder&&this.instance.placeholder.remove(),d._trigger("fromSortable",b),d.dropped=!1)})}}),a.ui.plugin.add("draggable","cursor",{start:function(b,c){var d=a("body"),e=a(this).data("draggable").options;d.css("cursor")&&(e._cursor=d.css("cursor")),d.css("cursor",e.cursor)},stop:function(b,c){var d=a(this).data("draggable").options;d._cursor&&a("body").css("cursor",d._cursor)}}),a.ui.plugin.add("draggable","opacity",{start:function(b,c){var d=a(c.helper),e=a(this).data("draggable").options;d.css("opacity")&&(e._opacity=d.css("opacity")),d.css("opacity",e.opacity)},stop:function(b,c){var d=a(this).data("draggable").options;d._opacity&&a(c.helper).css("opacity",d._opacity)}}),a.ui.plugin.add("draggable","scroll",{start:function(b,c){var d=a(this).data("draggable");d.scrollParent[0]!=document&&d.scrollParent[0].tagName!="HTML"&&(d.overflowOffset=d.scrollParent.offset())},drag:function(b,c){var d=a(this).data("draggable"),e=d.options,f=!1;if(d.scrollParent[0]!=document&&d.scrollParent[0].tagName!="HTML"){if(!e.axis||e.axis!="x")d.overflowOffset.top+d.scrollParent[0].offsetHeight-b.pageY<e.scrollSensitivity?d.scrollParent[0].scrollTop=f=d.scrollParent[0].scrollTop+e.scrollSpeed:b.pageY-d.overflowOffset.top<e.scrollSensitivity&&(d.scrollParent[0].scrollTop=f=d.scrollParent[0].scrollTop-e.scrollSpeed);if(!e.axis||e.axis!="y")d.overflowOffset.left+d.scrollParent[0].offsetWidth-b.pageX<e.scrollSensitivity?d.scrollParent[0].scrollLeft=f=d.scrollParent[0].scrollLeft+e.scrollSpeed:b.pageX-d.overflowOffset.left<e.scrollSensitivity&&(d.scrollParent[0].scrollLeft=f=d.scrollParent[0].scrollLeft-e.scrollSpeed)}else{if(!e.axis||e.axis!="x")b.pageY-a(document).scrollTop()<e.scrollSensitivity?f=a(document).scrollTop(a(document).scrollTop()-e.scrollSpeed):a(window).height()-(b.pageY-a(document).scrollTop())<e.scrollSensitivity&&(f=a(document).scrollTop(a(document).scrollTop()+e.scrollSpeed));if(!e.axis||e.axis!="y")b.pageX-a(document).scrollLeft()<e.scrollSensitivity?f=a(document).scrollLeft(a(document).scrollLeft()-e.scrollSpeed):a(window).width()-(b.pageX-a(document).scrollLeft())<e.scrollSensitivity&&(f=a(document).scrollLeft(a(document).scrollLeft()+e.scrollSpeed))}f!==!1&&a.ui.ddmanager&&!e.dropBehaviour&&a.ui.ddmanager.prepareOffsets(d,b)}}),a.ui.plugin.add("draggable","snap",{start:function(b,c){var d=a(this).data("draggable"),e=d.options;d.snapElements=[],a(e.snap.constructor!=String?e.snap.items||":data(draggable)":e.snap).each(function(){var b=a(this),c=b.offset();this!=d.element[0]&&d.snapElements.push({item:this,width:b.outerWidth(),height:b.outerHeight(),top:c.top,left:c.left})})},drag:function(b,c){var d=a(this).data("draggable"),e=d.options,f=e.snapTolerance,g=c.offset.left,h=g+d.helperProportions.width,i=c.offset.top,j=i+d.helperProportions.height;for(var k=d.snapElements.length-1;k>=0;k--){var l=d.snapElements[k].left,m=l+d.snapElements[k].width,n=d.snapElements[k].top,o=n+d.snapElements[k].height;if(!(l-f<g&&g<m+f&&n-f<i&&i<o+f||l-f<g&&g<m+f&&n-f<j&&j<o+f||l-f<h&&h<m+f&&n-f<i&&i<o+f||l-f<h&&h<m+f&&n-f<j&&j<o+f)){d.snapElements[k].snapping&&d.options.snap.release&&d.options.snap.release.call(d.element,b,a.extend(d._uiHash(),{snapItem:d.snapElements[k].item})),d.snapElements[k].snapping=!1;continue}if(e.snapMode!="inner"){var p=Math.abs(n-j)<=f,q=Math.abs(o-i)<=f,r=Math.abs(l-h)<=f,s=Math.abs(m-g)<=f;p&&(c.position.top=d._convertPositionTo("relative",{top:n-d.helperProportions.height,left:0}).top-d.margins.top),q&&(c.position.top=d._convertPositionTo("relative",{top:o,left:0}).top-d.margins.top),r&&(c.position.left=d._convertPositionTo("relative",{top:0,left:l-d.helperProportions.width}).left-d.margins.left),s&&(c.position.left=d._convertPositionTo("relative",{top:0,left:m}).left-d.margins.left)}var t=p||q||r||s;if(e.snapMode!="outer"){var p=Math.abs(n-i)<=f,q=Math.abs(o-j)<=f,r=Math.abs(l-g)<=f,s=Math.abs(m-h)<=f;p&&(c.position.top=d._convertPositionTo("relative",{top:n,left:0}).top-d.margins.top),q&&(c.position.top=d._convertPositionTo("relative",{top:o-d.helperProportions.height,left:0}).top-d.margins.top),r&&(c.position.left=d._convertPositionTo("relative",{top:0,left:l}).left-d.margins.left),s&&(c.position.left=d._convertPositionTo("relative",{top:0,left:m-d.helperProportions.width}).left-d.margins.left)}!d.snapElements[k].snapping&&(p||q||r||s||t)&&d.options.snap.snap&&d.options.snap.snap.call(d.element,b,a.extend(d._uiHash(),{snapItem:d.snapElements[k].item})),d.snapElements[k].snapping=p||q||r||s||t}}}),a.ui.plugin.add("draggable","stack",{start:function(b,c){var d=a(this).data("draggable").options,e=a.makeArray(a(d.stack)).sort(function(b,c){return(parseInt(a(b).css("zIndex"),10)||0)-(parseInt(a(c).css("zIndex"),10)||0)});if(!!e.length){var f=parseInt(e[0].style.zIndex)||0;a(e).each(function(a){this.style.zIndex=f+a}),this[0].style.zIndex=f+e.length}}}),a.ui.plugin.add("draggable","zIndex",{start:function(b,c){var d=a(c.helper),e=a(this).data("draggable").options;d.css("zIndex")&&(e._zIndex=d.css("zIndex")),d.css("zIndex",e.zIndex)},stop:function(b,c){var d=a(this).data("draggable").options;d._zIndex&&a(c.helper).css("zIndex",d._zIndex)}})})(jQuery);/*
 * jQuery UI Droppable 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Droppables
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.widget.js
 *	jquery.ui.mouse.js
 *	jquery.ui.draggable.js
 */(function(a,b){a.widget("ui.droppable",{widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect"},_create:function(){var b=this.options,c=b.accept;this.isover=0,this.isout=1,this.accept=a.isFunction(c)?c:function(a){return a.is(c)},this.proportions={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight},a.ui.ddmanager.droppables[b.scope]=a.ui.ddmanager.droppables[b.scope]||[],a.ui.ddmanager.droppables[b.scope].push(this),b.addClasses&&this.element.addClass("ui-droppable")},destroy:function(){var b=a.ui.ddmanager.droppables[this.options.scope];for(var c=0;c<b.length;c++)b[c]==this&&b.splice(c,1);this.element.removeClass("ui-droppable ui-droppable-disabled").removeData("droppable").unbind(".droppable");return this},_setOption:function(b,c){b=="accept"&&(this.accept=a.isFunction(c)?c:function(a){return a.is(c)}),a.Widget.prototype._setOption.apply(this,arguments)},_activate:function(b){var c=a.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),c&&this._trigger("activate",b,this.ui(c))},_deactivate:function(b){var c=a.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),c&&this._trigger("deactivate",b,this.ui(c))},_over:function(b){var c=a.ui.ddmanager.current;!!c&&(c.currentItem||c.element)[0]!=this.element[0]&&this.accept.call(this.element[0],c.currentItem||c.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",b,this.ui(c)))},_out:function(b){var c=a.ui.ddmanager.current;!!c&&(c.currentItem||c.element)[0]!=this.element[0]&&this.accept.call(this.element[0],c.currentItem||c.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",b,this.ui(c)))},_drop:function(b,c){var d=c||a.ui.ddmanager.current;if(!d||(d.currentItem||d.element)[0]==this.element[0])return!1;var e=!1;this.element.find(":data(droppable)").not(".ui-draggable-dragging").each(function(){var b=a.data(this,"droppable");if(b.options.greedy&&!b.options.disabled&&b.options.scope==d.options.scope&&b.accept.call(b.element[0],d.currentItem||d.element)&&a.ui.intersect(d,a.extend(b,{offset:b.element.offset()}),b.options.tolerance)){e=!0;return!1}});if(e)return!1;if(this.accept.call(this.element[0],d.currentItem||d.element)){this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",b,this.ui(d));return this.element}return!1},ui:function(a){return{draggable:a.currentItem||a.element,helper:a.helper,position:a.position,offset:a.positionAbs}}}),a.extend(a.ui.droppable,{version:"1.8.17"}),a.ui.intersect=function(b,c,d){if(!c.offset)return!1;var e=(b.positionAbs||b.position.absolute).left,f=e+b.helperProportions.width,g=(b.positionAbs||b.position.absolute).top,h=g+b.helperProportions.height,i=c.offset.left,j=i+c.proportions.width,k=c.offset.top,l=k+c.proportions.height;switch(d){case"fit":return i<=e&&f<=j&&k<=g&&h<=l;case"intersect":return i<e+b.helperProportions.width/2&&f-b.helperProportions.width/2<j&&k<g+b.helperProportions.height/2&&h-b.helperProportions.height/2<l;case"pointer":var m=(b.positionAbs||b.position.absolute).left+(b.clickOffset||b.offset.click).left,n=(b.positionAbs||b.position.absolute).top+(b.clickOffset||b.offset.click).top,o=a.ui.isOver(n,m,k,i,c.proportions.height,c.proportions.width);return o;case"touch":return(g>=k&&g<=l||h>=k&&h<=l||g<k&&h>l)&&(e>=i&&e<=j||f>=i&&f<=j||e<i&&f>j);default:return!1}},a.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(b,c){var d=a.ui.ddmanager.droppables[b.options.scope]||[],e=c?c.type:null,f=(b.currentItem||b.element).find(":data(droppable)").andSelf();droppablesLoop:for(var g=0;g<d.length;g++){if(d[g].options.disabled||b&&!d[g].accept.call(d[g].element[0],b.currentItem||b.element))continue;for(var h=0;h<f.length;h++)if(f[h]==d[g].element[0]){d[g].proportions.height=0;continue droppablesLoop}d[g].visible=d[g].element.css("display")!="none";if(!d[g].visible)continue;e=="mousedown"&&d[g]._activate.call(d[g],c),d[g].offset=d[g].element.offset(),d[g].proportions={width:d[g].element[0].offsetWidth,height:d[g].element[0].offsetHeight}}},drop:function(b,c){var d=!1;a.each(a.ui.ddmanager.droppables[b.options.scope]||[],function(){!this.options||(!this.options.disabled&&this.visible&&a.ui.intersect(b,this,this.options.tolerance)&&(d=this._drop.call(this,c)||d),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],b.currentItem||b.element)&&(this.isout=1,this.isover=0,this._deactivate.call(this,c)))});return d},dragStart:function(b,c){b.element.parents(":not(body,html)").bind("scroll.droppable",function(){b.options.refreshPositions||a.ui.ddmanager.prepareOffsets(b,c)})},drag:function(b,c){b.options.refreshPositions&&a.ui.ddmanager.prepareOffsets(b,c),a.each(a.ui.ddmanager.droppables[b.options.scope]||[],function(){if(!(this.options.disabled||this.greedyChild||!this.visible)){var d=a.ui.intersect(b,this,this.options.tolerance),e=!d&&this.isover==1?"isout":d&&this.isover==0?"isover":null;if(!e)return;var f;if(this.options.greedy){var g=this.element.parents(":data(droppable):eq(0)");g.length&&(f=a.data(g[0],"droppable"),f.greedyChild=e=="isover"?1:0)}f&&e=="isover"&&(f.isover=0,f.isout=1,f._out.call(f,c)),this[e]=1,this[e=="isout"?"isover":"isout"]=0,this[e=="isover"?"_over":"_out"].call(this,c),f&&e=="isout"&&(f.isout=0,f.isover=1,f._over.call(f,c))}})},dragStop:function(b,c){b.element.parents(":not(body,html)").unbind("scroll.droppable"),b.options.refreshPositions||a.ui.ddmanager.prepareOffsets(b,c)}}})(jQuery);/*
 * jQuery UI Resizable 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Resizables
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.mouse.js
 *	jquery.ui.widget.js
 */(function(a,b){a.widget("ui.resizable",a.ui.mouse,{widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:1e3},_create:function(){var b=this,c=this.options;this.element.addClass("ui-resizable"),a.extend(this,{_aspectRatio:!!c.aspectRatio,aspectRatio:c.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:c.helper||c.ghost||c.animate?c.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/canvas|textarea|input|select|button|img/i)&&(/relative/.test(this.element.css("position"))&&a.browser.opera&&this.element.css({position:"relative",top:"auto",left:"auto"}),this.element.wrap(a('<div class="ui-wrapper" style="overflow: hidden;"></div>').css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("resizable",this.element.data("resizable")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=c.handles||(a(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se");if(this.handles.constructor==String){this.handles=="all"&&(this.handles="n,e,s,w,se,sw,ne,nw");var d=this.handles.split(",");this.handles={};for(var e=0;e<d.length;e++){var f=a.trim(d[e]),g="ui-resizable-"+f,h=a('<div class="ui-resizable-handle '+g+'"></div>');/sw|se|ne|nw/.test(f)&&h.css({zIndex:++c.zIndex}),"se"==f&&h.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[f]=".ui-resizable-"+f,this.element.append(h)}}this._renderAxis=function(b){b=b||this.element;for(var c in this.handles){this.handles[c].constructor==String&&(this.handles[c]=a(this.handles[c],this.element).show());if(this.elementIsWrapper&&this.originalElement[0].nodeName.match(/textarea|input|select|button/i)){var d=a(this.handles[c],this.element),e=0;e=/sw|ne|nw|se|n|s/.test(c)?d.outerHeight():d.outerWidth();var f=["padding",/ne|nw|n/.test(c)?"Top":/se|sw|s/.test(c)?"Bottom":/^e$/.test(c)?"Right":"Left"].join("");b.css(f,e),this._proportionallyResize()}if(!a(this.handles[c]).length)continue}},this._renderAxis(this.element),this._handles=a(".ui-resizable-handle",this.element).disableSelection(),this._handles.mouseover(function(){if(!b.resizing){if(this.className)var a=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i);b.axis=a&&a[1]?a[1]:"se"}}),c.autoHide&&(this._handles.hide(),a(this.element).addClass("ui-resizable-autohide").hover(function(){c.disabled||(a(this).removeClass("ui-resizable-autohide"),b._handles.show())},function(){c.disabled||b.resizing||(a(this).addClass("ui-resizable-autohide"),b._handles.hide())})),this._mouseInit()},destroy:function(){this._mouseDestroy();var b=function(b){a(b).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};if(this.elementIsWrapper){b(this.element);var c=this.element;c.after(this.originalElement.css({position:c.css("position"),width:c.outerWidth(),height:c.outerHeight(),top:c.css("top"),left:c.css("left")})).remove()}this.originalElement.css("resize",this.originalResizeStyle),b(this.originalElement);return this},_mouseCapture:function(b){var c=!1;for(var d in this.handles)a(this.handles[d])[0]==b.target&&(c=!0);return!this.options.disabled&&c},_mouseStart:function(b){var d=this.options,e=this.element.position(),f=this.element;this.resizing=!0,this.documentScroll={top:a(document).scrollTop(),left:a(document).scrollLeft()},(f.is(".ui-draggable")||/absolute/.test(f.css("position")))&&f.css({position:"absolute",top:e.top,left:e.left}),a.browser.opera&&/relative/.test(f.css("position"))&&f.css({position:"relative",top:"auto",left:"auto"}),this._renderProxy();var g=c(this.helper.css("left")),h=c(this.helper.css("top"));d.containment&&(g+=a(d.containment).scrollLeft()||0,h+=a(d.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:g,top:h},this.size=this._helper?{width:f.outerWidth(),height:f.outerHeight()}:{width:f.width(),height:f.height()},this.originalSize=this._helper?{width:f.outerWidth(),height:f.outerHeight()}:{width:f.width(),height:f.height()},this.originalPosition={left:g,top:h},this.sizeDiff={width:f.outerWidth()-f.width(),height:f.outerHeight()-f.height()},this.originalMousePosition={left:b.pageX,top:b.pageY},this.aspectRatio=typeof d.aspectRatio=="number"?d.aspectRatio:this.originalSize.width/this.originalSize.height||1;var i=a(".ui-resizable-"+this.axis).css("cursor");a("body").css("cursor",i=="auto"?this.axis+"-resize":i),f.addClass("ui-resizable-resizing"),this._propagate("start",b);return!0},_mouseDrag:function(b){var c=this.helper,d=this.options,e={},f=this,g=this.originalMousePosition,h=this.axis,i=b.pageX-g.left||0,j=b.pageY-g.top||0,k=this._change[h];if(!k)return!1;var l=k.apply(this,[b,i,j]),m=a.browser.msie&&a.browser.version<7,n=this.sizeDiff;this._updateVirtualBoundaries(b.shiftKey);if(this._aspectRatio||b.shiftKey)l=this._updateRatio(l,b);l=this._respectSize(l,b),this._propagate("resize",b),c.css({top:this.position.top+"px",left:this.position.left+"px",width:this.size.width+"px",height:this.size.height+"px"}),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),this._updateCache(l),this._trigger("resize",b,this.ui());return!1},_mouseStop:function(b){this.resizing=!1;var c=this.options,d=this;if(this._helper){var e=this._proportionallyResizeElements,f=e.length&&/textarea/i.test(e[0].nodeName),g=f&&a.ui.hasScroll(e[0],"left")?0:d.sizeDiff.height,h=f?0:d.sizeDiff.width,i={width:d.helper.width()-h,height:d.helper.height()-g},j=parseInt(d.element.css("left"),10)+(d.position.left-d.originalPosition.left)||null,k=parseInt(d.element.css("top"),10)+(d.position.top-d.originalPosition.top)||null;c.animate||this.element.css(a.extend(i,{top:k,left:j})),d.helper.height(d.size.height),d.helper.width(d.size.width),this._helper&&!c.animate&&this._proportionallyResize()}a("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",b),this._helper&&this.helper.remove();return!1},_updateVirtualBoundaries:function(a){var b=this.options,c,e,f,g,h;h={minWidth:d(b.minWidth)?b.minWidth:0,maxWidth:d(b.maxWidth)?b.maxWidth:Infinity,minHeight:d(b.minHeight)?b.minHeight:0,maxHeight:d(b.maxHeight)?b.maxHeight:Infinity};if(this._aspectRatio||a)c=h.minHeight*this.aspectRatio,f=h.minWidth/this.aspectRatio,e=h.maxHeight*this.aspectRatio,g=h.maxWidth/this.aspectRatio,c>h.minWidth&&(h.minWidth=c),f>h.minHeight&&(h.minHeight=f),e<h.maxWidth&&(h.maxWidth=e),g<h.maxHeight&&(h.maxHeight=g);this._vBoundaries=h},_updateCache:function(a){var b=this.options;this.offset=this.helper.offset(),d(a.left)&&(this.position.left=a.left),d(a.top)&&(this.position.top=a.top),d(a.height)&&(this.size.height=a.height),d(a.width)&&(this.size.width=a.width)},_updateRatio:function(a,b){var c=this.options,e=this.position,f=this.size,g=this.axis;d(a.height)?a.width=a.height*this.aspectRatio:d(a.width)&&(a.height=a.width/this.aspectRatio),g=="sw"&&(a.left=e.left+(f.width-a.width),a.top=null),g=="nw"&&(a.top=e.top+(f.height-a.height),a.left=e.left+(f.width-a.width));return a},_respectSize:function(a,b){var c=this.helper,e=this._vBoundaries,f=this._aspectRatio||b.shiftKey,g=this.axis,h=d(a.width)&&e.maxWidth&&e.maxWidth<a.width,i=d(a.height)&&e.maxHeight&&e.maxHeight<a.height,j=d(a.width)&&e.minWidth&&e.minWidth>a.width,k=d(a.height)&&e.minHeight&&e.minHeight>a.height;j&&(a.width=e.minWidth),k&&(a.height=e.minHeight),h&&(a.width=e.maxWidth),i&&(a.height=e.maxHeight);var l=this.originalPosition.left+this.originalSize.width,m=this.position.top+this.size.height,n=/sw|nw|w/.test(g),o=/nw|ne|n/.test(g);j&&n&&(a.left=l-e.minWidth),h&&n&&(a.left=l-e.maxWidth),k&&o&&(a.top=m-e.minHeight),i&&o&&(a.top=m-e.maxHeight);var p=!a.width&&!a.height;p&&!a.left&&a.top?a.top=null:p&&!a.top&&a.left&&(a.left=null);return a},_proportionallyResize:function(){var b=this.options;if(!!this._proportionallyResizeElements.length){var c=this.helper||this.element;for(var d=0;d<this._proportionallyResizeElements.length;d++){var e=this._proportionallyResizeElements[d];if(!this.borderDif){var f=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],g=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];this.borderDif=a.map(f,function(a,b){var c=parseInt(a,10)||0,d=parseInt(g[b],10)||0;return c+d})}if(a.browser.msie&&(!!a(c).is(":hidden")||!!a(c).parents(":hidden").length))continue;e.css({height:c.height()-this.borderDif[0]-this.borderDif[2]||0,width:c.width()-this.borderDif[1]-this.borderDif[3]||0})}}},_renderProxy:function(){var b=this.element,c=this.options;this.elementOffset=b.offset();if(this._helper){this.helper=this.helper||a('<div style="overflow:hidden;"></div>');var d=a.browser.msie&&a.browser.version<7,e=d?1:0,f=d?2:-1;this.helper.addClass(this._helper).css({width:this.element.outerWidth()+f,height:this.element.outerHeight()+f,position:"absolute",left:this.elementOffset.left-e+"px",top:this.elementOffset.top-e+"px",zIndex:++c.zIndex}),this.helper.appendTo("body").disableSelection()}else this.helper=this.element},_change:{e:function(a,b,c){return{width:this.originalSize.width+b}},w:function(a,b,c){var d=this.options,e=this.originalSize,f=this.originalPosition;return{left:f.left+b,width:e.width-b}},n:function(a,b,c){var d=this.options,e=this.originalSize,f=this.originalPosition;return{top:f.top+c,height:e.height-c}},s:function(a,b,c){return{height:this.originalSize.height+c}},se:function(b,c,d){return a.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[b,c,d]))},sw:function(b,c,d){return a.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[b,c,d]))},ne:function(b,c,d){return a.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[b,c,d]))},nw:function(b,c,d){return a.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[b,c,d]))}},_propagate:function(b,c){a.ui.plugin.call(this,b,[c,this.ui()]),b!="resize"&&this._trigger(b,c,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),a.extend(a.ui.resizable,{version:"1.8.17"}),a.ui.plugin.add("resizable","alsoResize",{start:function(b,c){var d=a(this).data("resizable"),e=d.options,f=function(b){a(b).each(function(){var b=a(this);b.data("resizable-alsoresize",{width:parseInt(b.width(),10),height:parseInt(b.height(),10),left:parseInt(b.css("left"),10),top:parseInt(b.css("top"),10),position:b.css("position")})})};typeof e.alsoResize=="object"&&!e.alsoResize.parentNode?e.alsoResize.length?(e.alsoResize=e.alsoResize[0],f(e.alsoResize)):a.each(e.alsoResize,function(a){f(a)}):f(e.alsoResize)},resize:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.originalSize,g=d.originalPosition,h={height:d.size.height-f.height||0,width:d.size.width-f.width||0,top:d.position.top-g.top||0,left:d.position.left-g.left||0},i=function(b,e){a(b).each(function(){var b=a(this),f=a(this).data("resizable-alsoresize"),g={},i=e&&e.length?e:b.parents(c.originalElement[0]).length?["width","height"]:["width","height","top","left"];a.each(i,function(a,b){var c=(f[b]||0)+(h[b]||0);c&&c>=0&&(g[b]=c||null)}),a.browser.opera&&/relative/.test(b.css("position"))&&(d._revertToRelativePosition=!0,b.css({position:"absolute",top:"auto",left:"auto"})),b.css(g)})};typeof e.alsoResize=="object"&&!e.alsoResize.nodeType?a.each(e.alsoResize,function(a,b){i(a,b)}):i(e.alsoResize)},stop:function(b,c){var d=a(this).data("resizable"),e=d.options,f=function(b){a(b).each(function(){var b=a(this);b.css({position:b.data("resizable-alsoresize").position})})};d._revertToRelativePosition&&(d._revertToRelativePosition=!1,typeof e.alsoResize=="object"&&!e.alsoResize.nodeType?a.each(e.alsoResize,function(a){f(a)}):f(e.alsoResize)),a(this).removeData("resizable-alsoresize")}}),a.ui.plugin.add("resizable","animate",{stop:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d._proportionallyResizeElements,g=f.length&&/textarea/i.test(f[0].nodeName),h=g&&a.ui.hasScroll(f[0],"left")?0:d.sizeDiff.height,i=g?0:d.sizeDiff.width,j={width:d.size.width-i,height:d.size.height-h},k=parseInt(d.element.css("left"),10)+(d.position.left-d.originalPosition.left)||null,l=parseInt(d.element.css("top"),10)+(d.position.top-d.originalPosition.top)||null;d.element.animate(a.extend(j,l&&k?{top:l,left:k}:{}),{duration:e.animateDuration,easing:e.animateEasing,step:function(){var c={width:parseInt(d.element.css("width"),10),height:parseInt(d.element.css("height"),10),top:parseInt(d.element.css("top"),10),left:parseInt(d.element.css("left"),10)};f&&f.length&&a(f[0]).css({width:c.width,height:c.height}),d._updateCache(c),d._propagate("resize",b)}})}}),a.ui.plugin.add("resizable","containment",{start:function(b,d){var e=a(this).data("resizable"),f=e.options,g=e.element,h=f.containment,i=h instanceof a?h.get(0):/parent/.test(h)?g.parent().get(0):h;if(!!i){e.containerElement=a(i);if(/document/.test(h)||h==document)e.containerOffset={left:0,top:0},e.containerPosition={left:0,top:0},e.parentData={element:a(document),left:0,top:0,width:a(document).width(),height:a(document).height()||document.body.parentNode.scrollHeight};else{var j=a(i),k=[];a(["Top","Right","Left","Bottom"]).each(function(a,b){k[a]=c(j.css("padding"+b))}),e.containerOffset=j.offset(),e.containerPosition=j.position(),e.containerSize={height:j.innerHeight()-k[3],width:j.innerWidth()-k[1]};var l=e.containerOffset,m=e.containerSize.height,n=e.containerSize.width,o=a.ui.hasScroll(i,"left")?i.scrollWidth:n,p=a.ui.hasScroll(i)?i.scrollHeight:m;e.parentData={element:i,left:l.left,top:l.top,width:o,height:p}}}},resize:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.containerSize,g=d.containerOffset,h=d.size,i=d.position,j=d._aspectRatio||b.shiftKey,k={top:0,left:0},l=d.containerElement;l[0]!=document&&/static/.test(l.css("position"))&&(k=g),i.left<(d._helper?g.left:0)&&(d.size.width=d.size.width+(d._helper?d.position.left-g.left:d.position.left-k.left),j&&(d.size.height=d.size.width/e.aspectRatio),d.position.left=e.helper?g.left:0),i.top<(d._helper?g.top:0)&&(d.size.height=d.size.height+(d._helper?d.position.top-g.top:d.position.top),j&&(d.size.width=d.size.height*e.aspectRatio),d.position.top=d._helper?g.top:0),d.offset.left=d.parentData.left+d.position.left,d.offset.top=d.parentData.top+d.position.top;var m=Math.abs((d._helper?d.offset.left-k.left:d.offset.left-k.left)+d.sizeDiff.width),n=Math.abs((d._helper?d.offset.top-k.top:d.offset.top-g.top)+d.sizeDiff.height),o=d.containerElement.get(0)==d.element.parent().get(0),p=/relative|absolute/.test(d.containerElement.css("position"));o&&p&&(m-=d.parentData.left),m+d.size.width>=d.parentData.width&&(d.size.width=d.parentData.width-m,j&&(d.size.height=d.size.width/d.aspectRatio)),n+d.size.height>=d.parentData.height&&(d.size.height=d.parentData.height-n,j&&(d.size.width=d.size.height*d.aspectRatio))},stop:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.position,g=d.containerOffset,h=d.containerPosition,i=d.containerElement,j=a(d.helper),k=j.offset(),l=j.outerWidth()-d.sizeDiff.width,m=j.outerHeight()-d.sizeDiff.height;d._helper&&!e.animate&&/relative/.test(i.css("position"))&&a(this).css({left:k.left-h.left-g.left,width:l,height:m}),d._helper&&!e.animate&&/static/.test(i.css("position"))&&a(this).css({left:k.left-h.left-g.left,width:l,height:m})}}),a.ui.plugin.add("resizable","ghost",{start:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.size;d.ghost=d.originalElement.clone(),d.ghost.css({opacity:.25,display:"block",position:"relative",height:f.height,width:f.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass(typeof e.ghost=="string"?e.ghost:""),d.ghost.appendTo(d.helper)},resize:function(b,c){var d=a(this).data("resizable"),e=d.options;d.ghost&&d.ghost.css({position:"relative",height:d.size.height,width:d.size.width})},stop:function(b,c){var d=a(this).data("resizable"),e=d.options;d.ghost&&d.helper&&d.helper.get(0).removeChild(d.ghost.get(0))}}),a.ui.plugin.add("resizable","grid",{resize:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.size,g=d.originalSize,h=d.originalPosition,i=d.axis,j=e._aspectRatio||b.shiftKey;e.grid=typeof e.grid=="number"?[e.grid,e.grid]:e.grid;var k=Math.round((f.width-g.width)/(e.grid[0]||1))*(e.grid[0]||1),l=Math.round((f.height-g.height)/(e.grid[1]||1))*(e.grid[1]||1);/^(se|s|e)$/.test(i)?(d.size.width=g.width+k,d.size.height=g.height+l):/^(ne)$/.test(i)?(d.size.width=g.width+k,d.size.height=g.height+l,d.position.top=h.top-l):/^(sw)$/.test(i)?(d.size.width=g.width+k,d.size.height=g.height+l,d.position.left=h.left-k):(d.size.width=g.width+k,d.size.height=g.height+l,d.position.top=h.top-l,d.position.left=h.left-k)}});var c=function(a){return parseInt(a,10)||0},d=function(a){return!isNaN(parseInt(a,10))}})(jQuery);/*
 * jQuery UI Selectable 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Selectables
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.mouse.js
 *	jquery.ui.widget.js
 */(function(a,b){a.widget("ui.selectable",a.ui.mouse,{options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch"},_create:function(){var b=this;this.element.addClass("ui-selectable"),this.dragged=!1;var c;this.refresh=function(){c=a(b.options.filter,b.element[0]),c.addClass("ui-selectee"),c.each(function(){var b=a(this),c=b.offset();a.data(this,"selectable-item",{element:this,$element:b,left:c.left,top:c.top,right:c.left+b.outerWidth(),bottom:c.top+b.outerHeight(),startselected:!1,selected:b.hasClass("ui-selected"),selecting:b.hasClass("ui-selecting"),unselecting:b.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=c.addClass("ui-selectee"),this._mouseInit(),this.helper=a("<div class='ui-selectable-helper'></div>")},destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled").removeData("selectable").unbind(".selectable"),this._mouseDestroy();return this},_mouseStart:function(b){var c=this;this.opos=[b.pageX,b.pageY];if(!this.options.disabled){var d=this.options;this.selectees=a(d.filter,this.element[0]),this._trigger("start",b),a(d.appendTo).append(this.helper),this.helper.css({left:b.clientX,top:b.clientY,width:0,height:0}),d.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var d=a.data(this,"selectable-item");d.startselected=!0,!b.metaKey&&!b.ctrlKey&&(d.$element.removeClass("ui-selected"),d.selected=!1,d.$element.addClass("ui-unselecting"),d.unselecting=!0,c._trigger("unselecting",b,{unselecting:d.element}))}),a(b.target).parents().andSelf().each(function(){var d=a.data(this,"selectable-item");if(d){var e=!b.metaKey&&!b.ctrlKey||!d.$element.hasClass("ui-selected");d.$element.removeClass(e?"ui-unselecting":"ui-selected").addClass(e?"ui-selecting":"ui-unselecting"),d.unselecting=!e,d.selecting=e,d.selected=e,e?c._trigger("selecting",b,{selecting:d.element}):c._trigger("unselecting",b,{unselecting:d.element});return!1}})}},_mouseDrag:function(b){var c=this;this.dragged=!0;if(!this.options.disabled){var d=this.options,e=this.opos[0],f=this.opos[1],g=b.pageX,h=b.pageY;if(e>g){var i=g;g=e,e=i}if(f>h){var i=h;h=f,f=i}this.helper.css({left:e,top:f,width:g-e,height:h-f}),this.selectees.each(function(){var i=a.data(this,"selectable-item");if(!!i&&i.element!=c.element[0]){var j=!1;d.tolerance=="touch"?j=!(i.left>g||i.right<e||i.top>h||i.bottom<f):d.tolerance=="fit"&&(j=i.left>e&&i.right<g&&i.top>f&&i.bottom<h),j?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,c._trigger("selecting",b,{selecting:i.element}))):(i.selecting&&((b.metaKey||b.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),c._trigger("unselecting",b,{unselecting:i.element}))),i.selected&&!b.metaKey&&!b.ctrlKey&&!i.startselected&&(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,c._trigger("unselecting",b,{unselecting:i.element})))}});return!1}},_mouseStop:function(b){var c=this;this.dragged=!1;var d=this.options;a(".ui-unselecting",this.element[0]).each(function(){var d=a.data(this,"selectable-item");d.$element.removeClass("ui-unselecting"),d.unselecting=!1,d.startselected=!1,c._trigger("unselected",b,{unselected:d.element})}),a(".ui-selecting",this.element[0]).each(function(){var d=a.data(this,"selectable-item");d.$element.removeClass("ui-selecting").addClass("ui-selected"),d.selecting=!1,d.selected=!0,d.startselected=!0,c._trigger("selected",b,{selected:d.element})}),this._trigger("stop",b),this.helper.remove();return!1}}),a.extend(a.ui.selectable,{version:"1.8.17"})})(jQuery);/*
 * jQuery UI Sortable 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Sortables
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.mouse.js
 *	jquery.ui.widget.js
 */(function(a,b){a.widget("ui.sortable",a.ui.mouse,{widgetEventPrefix:"sort",options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3},_create:function(){var a=this.options;this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.floating=this.items.length?a.axis==="x"||/left|right/.test(this.items[0].item.css("float"))||/inline|table-cell/.test(this.items[0].item.css("display")):!1,this.offset=this.element.offset(),this._mouseInit()},destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled"),this._mouseDestroy();for(var a=this.items.length-1;a>=0;a--)this.items[a].item.removeData(this.widgetName+"-item");return this},_setOption:function(b,c){b==="disabled"?(this.options[b]=c,this.widget()[c?"addClass":"removeClass"]("ui-sortable-disabled")):a.Widget.prototype._setOption.apply(this,arguments)},_mouseCapture:function(b,c){var d=this;if(this.reverting)return!1;if(this.options.disabled||this.options.type=="static")return!1;this._refreshItems(b);var e=null,f=this,g=a(b.target).parents().each(function(){if(a.data(this,d.widgetName+"-item")==f){e=a(this);return!1}});a.data(b.target,d.widgetName+"-item")==f&&(e=a(b.target));if(!e)return!1;if(this.options.handle&&!c){var h=!1;a(this.options.handle,e).find("*").andSelf().each(function(){this==b.target&&(h=!0)});if(!h)return!1}this.currentItem=e,this._removeCurrentsFromItems();return!0},_mouseStart:function(b,c,d){var e=this.options,f=this;this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(b),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),a.extend(this.offset,{click:{left:b.pageX-this.offset.left,top:b.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.originalPosition=this._generatePosition(b),this.originalPageX=b.pageX,this.originalPageY=b.pageY,e.cursorAt&&this._adjustOffsetFromHelper(e.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!=this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),e.containment&&this._setContainment(),e.cursor&&(a("body").css("cursor")&&(this._storedCursor=a("body").css("cursor")),a("body").css("cursor",e.cursor)),e.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",e.opacity)),e.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",e.zIndex)),this.scrollParent[0]!=document&&this.scrollParent[0].tagName!="HTML"&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",b,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions();if(!d)for(var g=this.containers.length-1;g>=0;g--)this.containers[g]._trigger("activate",b,f._uiHash(this));a.ui.ddmanager&&(a.ui.ddmanager.current=this),a.ui.ddmanager&&!e.dropBehaviour&&a.ui.ddmanager.prepareOffsets(this,b),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(b);return!0},_mouseDrag:function(b){this.position=this._generatePosition(b),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs);if(this.options.scroll){var c=this.options,d=!1;this.scrollParent[0]!=document&&this.scrollParent[0].tagName!="HTML"?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-b.pageY<c.scrollSensitivity?this.scrollParent[0].scrollTop=d=this.scrollParent[0].scrollTop+c.scrollSpeed:b.pageY-this.overflowOffset.top<c.scrollSensitivity&&(this.scrollParent[0].scrollTop=d=this.scrollParent[0].scrollTop-c.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-b.pageX<c.scrollSensitivity?this.scrollParent[0].scrollLeft=d=this.scrollParent[0].scrollLeft+c.scrollSpeed:b.pageX-this.overflowOffset.left<c.scrollSensitivity&&(this.scrollParent[0].scrollLeft=d=this.scrollParent[0].scrollLeft-c.scrollSpeed)):(b.pageY-a(document).scrollTop()<c.scrollSensitivity?d=a(document).scrollTop(a(document).scrollTop()-c.scrollSpeed):a(window).height()-(b.pageY-a(document).scrollTop())<c.scrollSensitivity&&(d=a(document).scrollTop(a(document).scrollTop()+c.scrollSpeed)),b.pageX-a(document).scrollLeft()<c.scrollSensitivity?d=a(document).scrollLeft(a(document).scrollLeft()-c.scrollSpeed):a(window).width()-(b.pageX-a(document).scrollLeft())<c.scrollSensitivity&&(d=a(document).scrollLeft(a(document).scrollLeft()+c.scrollSpeed))),d!==!1&&a.ui.ddmanager&&!c.dropBehaviour&&a.ui.ddmanager.prepareOffsets(this,b)}this.positionAbs=this._convertPositionTo("absolute");if(!this.options.axis||this.options.axis!="y")this.helper[0].style.left=this.position.left+"px";if(!this.options.axis||this.options.axis!="x")this.helper[0].style.top=this.position.top+"px";for(var e=this.items.length-1;e>=0;e--){var f=this.items[e],g=f.item[0],h=this._intersectsWithPointer(f);if(!h)continue;if(g!=this.currentItem[0]&&this.placeholder[h==1?"next":"prev"]()[0]!=g&&!a.ui.contains(this.placeholder[0],g)&&(this.options.type=="semi-dynamic"?!a.ui.contains(this.element[0],g):!0)){this.direction=h==1?"down":"up";if(this.options.tolerance=="pointer"||this._intersectsWithSides(f))this._rearrange(b,f);else break;this._trigger("change",b,this._uiHash());break}}this._contactContainers(b),a.ui.ddmanager&&a.ui.ddmanager.drag(this,b),this._trigger("sort",b,this._uiHash()),this.lastPositionAbs=this.positionAbs;return!1},_mouseStop:function(b,c){if(!!b){a.ui.ddmanager&&!this.options.dropBehaviour&&a.ui.ddmanager.drop(this,b);if(this.options.revert){var d=this,e=d.placeholder.offset();d.reverting=!0,a(this.helper).animate({left:e.left-this.offset.parent.left-d.margins.left+(this.offsetParent[0]==document.body?0:this.offsetParent[0].scrollLeft),top:e.top-this.offset.parent.top-d.margins.top+(this.offsetParent[0]==document.body?0:this.offsetParent[0].scrollTop)},parseInt(this.options.revert,10)||500,function(){d._clear(b)})}else this._clear(b,c);return!1}},cancel:function(){var b=this;if(this.dragging){this._mouseUp({target:null}),this.options.helper=="original"?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var c=this.containers.length-1;c>=0;c--)this.containers[c]._trigger("deactivate",null,b._uiHash(this)),this.containers[c].containerCache.over&&(this.containers[c]._trigger("out",null,b._uiHash(this)),this.containers[c].containerCache.over=0)}this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.options.helper!="original"&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),a.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?a(this.domPosition.prev).after(this.currentItem):a(this.domPosition.parent).prepend(this.currentItem));return this},serialize:function(b){var c=this._getItemsAsjQuery(b&&b.connected),d=[];b=b||{},a(c).each(function(){var c=(a(b.item||this).attr(b.attribute||"id")||"").match(b.expression||/(.+)[-=_](.+)/);c&&d.push((b.key||c[1]+"[]")+"="+(b.key&&b.expression?c[1]:c[2]))}),!d.length&&b.key&&d.push(b.key+"=");return d.join("&")},toArray:function(b){var c=this._getItemsAsjQuery(b&&b.connected),d=[];b=b||{},c.each(function(){d.push(a(b.item||this).attr(b.attribute||"id")||"")});return d},_intersectsWith:function(a){var b=this.positionAbs.left,c=b+this.helperProportions.width,d=this.positionAbs.top,e=d+this.helperProportions.height,f=a.left,g=f+a.width,h=a.top,i=h+a.height,j=this.offset.click.top,k=this.offset.click.left,l=d+j>h&&d+j<i&&b+k>f&&b+k<g;return this.options.tolerance=="pointer"||this.options.forcePointerForContainers||this.options.tolerance!="pointer"&&this.helperProportions[this.floating?"width":"height"]>a[this.floating?"width":"height"]?l:f<b+this.helperProportions.width/2&&c-this.helperProportions.width/2<g&&h<d+this.helperProportions.height/2&&e-this.helperProportions.height/2<i},_intersectsWithPointer:function(b){var c=a.ui.isOverAxis(this.positionAbs.top+this.offset.click.top,b.top,b.height),d=a.ui.isOverAxis(this.positionAbs.left+this.offset.click.left,b.left,b.width),e=c&&d,f=this._getDragVerticalDirection(),g=this._getDragHorizontalDirection();if(!e)return!1;return this.floating?g&&g=="right"||f=="down"?2:1:f&&(f=="down"?2:1)},_intersectsWithSides:function(b){var c=a.ui.isOverAxis(this.positionAbs.top+this.offset.click.top,b.top+b.height/2,b.height),d=a.ui.isOverAxis(this.positionAbs.left+this.offset.click.left,b.left+b.width/2,b.width),e=this._getDragVerticalDirection(),f=this._getDragHorizontalDirection();return this.floating&&f?f=="right"&&d||f=="left"&&!d:e&&(e=="down"&&c||e=="up"&&!c)},_getDragVerticalDirection:function(){var a=this.positionAbs.top-this.lastPositionAbs.top;return a!=0&&(a>0?"down":"up")},_getDragHorizontalDirection:function(){var a=this.positionAbs.left-this.lastPositionAbs.left;return a!=0&&(a>0?"right":"left")},refresh:function(a){this._refreshItems(a),this.refreshPositions();return this},_connectWith:function(){var a=this.options;return a.connectWith.constructor==String?[a.connectWith]:a.connectWith},_getItemsAsjQuery:function(b){var c=this,d=[],e=[],f=this._connectWith();if(f&&b)for(var g=f.length-1;g>=0;g--){var h=a(f[g]);for(var i=h.length-1;i>=0;i--){var j=a.data(h[i],this.widgetName);j&&j!=this&&!j.options.disabled&&e.push([a.isFunction(j.options.items)?j.options.items.call(j.element):a(j.options.items,j.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),j])}}e.push([a.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):a(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]);for(var g=e.length-1;g>=0;g--)e[g][0].each(function(){d.push(this)});return a(d)},_removeCurrentsFromItems:function(){var a=this.currentItem.find(":data("+this.widgetName+"-item)");for(var b=0;b<this.items.length;b++)for(var c=0;c<a.length;c++)a[c]==this.items[b].item[0]&&this.items.splice(b,1)},_refreshItems:function(b){this.items=[],this.containers=[this];var c=this.items,d=this,e=[[a.isFunction(this.options.items)?this.options.items.call(this.element[0],b,{item:this.currentItem}):a(this.options.items,this.element),this]],f=this._connectWith();if(f)for(var g=f.length-1;g>=0;g--){var h=a(f[g]);for(var i=h.length-1;i>=0;i--){var j=a.data(h[i],this.widgetName);j&&j!=this&&!j.options.disabled&&(e.push([a.isFunction(j.options.items)?j.options.items.call(j.element[0],b,{item:this.currentItem}):a(j.options.items,j.element),j]),this.containers.push(j))}}for(var g=e.length-1;g>=0;g--){var k=e[g][1],l=e[g][0];for(var i=0,m=l.length;i<m;i++){var n=a(l[i]);n.data(this.widgetName+"-item",k),c.push({item:n,instance:k,width:0,height:0,left:0,top:0})}}},refreshPositions:function(b){this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());for(var c=this.items.length-1;c>=0;c--){var d=this.items[c];if(d.instance!=this.currentContainer&&this.currentContainer&&d.item[0]!=this.currentItem[0])continue;var e=this.options.toleranceElement?a(this.options.toleranceElement,d.item):d.item;b||(d.width=e.outerWidth(),d.height=e.outerHeight());var f=e.offset();d.left=f.left,d.top=f.top}if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(var c=this.containers.length-1;c>=0;c--){var f=this.containers[c].element.offset();this.containers[c].containerCache.left=f.left,this.containers[c].containerCache.top=f.top,this.containers[c].containerCache.width=this.containers[c].element.outerWidth(),this.containers[c].containerCache.height=this.containers[c].element.outerHeight()}return this},_createPlaceholder:function(b){var c=b||this,d=c.options;if(!d.placeholder||d.placeholder.constructor==String){var e=d.placeholder;d.placeholder={element:function(){var b=a(document.createElement(c.currentItem[0].nodeName)).addClass(e||c.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper")[0];e||(b.style.visibility="hidden");return b},update:function(a,b){if(!e||!!d.forcePlaceholderSize)b.height()||b.height(c.currentItem.innerHeight()-parseInt(c.currentItem.css("paddingTop")||0,10)-parseInt(c.currentItem.css("paddingBottom")||0,10)),b.width()||b.width(c.currentItem.innerWidth()-parseInt(c.currentItem.css("paddingLeft")||0,10)-parseInt(c.currentItem.css("paddingRight")||0,10))}}}c.placeholder=a(d.placeholder.element.call(c.element,c.currentItem)),c.currentItem.after(c.placeholder),d.placeholder.update(c,c.placeholder)},_contactContainers:function(b){var c=null,d=null;for(var e=this.containers.length-1;e>=0;e--){if(a.ui.contains(this.currentItem[0],this.containers[e].element[0]))continue;if(this._intersectsWith(this.containers[e].containerCache)){if(c&&a.ui.contains(this.containers[e].element[0],c.element[0]))continue;c=this.containers[e],d=e}else this.containers[e].containerCache.over&&(this.containers[e]._trigger("out",b,this._uiHash(this)),this.containers[e].containerCache.over=0)}if(!!c)if(this.containers.length===1)this.containers[d]._trigger("over",b,this._uiHash(this)),this.containers[d].containerCache.over=1;else if(this.currentContainer!=this.containers[d]){var f=1e4,g=null,h=this.positionAbs[this.containers[d].floating?"left":"top"];for(var i=this.items.length-1;i>=0;i--){if(!a.ui.contains(this.containers[d].element[0],this.items[i].item[0]))continue;var j=this.items[i][this.containers[d].floating?"left":"top"];Math.abs(j-h)<f&&(f=Math.abs(j-h),g=this.items[i])}if(!g&&!this.options.dropOnEmpty)return;this.currentContainer=this.containers[d],g?this._rearrange(b,g,null,!0):this._rearrange(b,null,this.containers[d].element,!0),this._trigger("change",b,this._uiHash()),this.containers[d]._trigger("change",b,this._uiHash(this)),this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[d]._trigger("over",b,this._uiHash(this)),this.containers[d].containerCache.over=1}},_createHelper:function(b){var c=this.options,d=a.isFunction(c.helper)?a(c.helper.apply(this.element[0],[b,this.currentItem])):c.helper=="clone"?this.currentItem.clone():this.currentItem;d.parents("body").length||a(c.appendTo!="parent"?c.appendTo:this.currentItem[0].parentNode)[0].appendChild(d[0]),d[0]==this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(d[0].style.width==""||c.forceHelperSize)&&d.width(this.currentItem.width()),(d[0].style.height==""||c.forceHelperSize)&&d.height(this.currentItem.height());return d},_adjustOffsetFromHelper:function(b){typeof b=="string"&&(b=b.split(" ")),a.isArray(b)&&(b={left:+b[0],top:+b[1]||0}),"left"in b&&(this.offset.click.left=b.left+this.margins.left),"right"in b&&(this.offset.click.left=this.helperProportions.width-b.right+this.margins.left),"top"in b&&(this.offset.click.top=b.top+this.margins.top),"bottom"in b&&(this.offset.click.top=this.helperProportions.height-b.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var b=this.offsetParent.offset();this.cssPosition=="absolute"&&this.scrollParent[0]!=document&&a.ui.contains(this.scrollParent[0],this.offsetParent[0])&&(b.left+=this.scrollParent.scrollLeft(),b.top+=this.scrollParent.scrollTop());if(this.offsetParent[0]==document.body||this.offsetParent[0].tagName&&this.offsetParent[0].tagName.toLowerCase()=="html"&&a.browser.msie)b={top:0,left:0};return{top:b.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:b.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if(this.cssPosition=="relative"){var a=this.currentItem.position();return{top:a.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:a.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var b=this.options;b.containment=="parent"&&(b.containment=this.helper[0].parentNode);if(b.containment=="document"||b.containment=="window")this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,a(b.containment=="document"?document:window).width()-this.helperProportions.width-this.margins.left,(a(b.containment=="document"?document:window).height()||document.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top];if(!/^(document|window|parent)$/.test(b.containment)){var c=a(b.containment)[0],d=a(b.containment).offset(),e=a(c).css("overflow")!="hidden";this.containment=[d.left+(parseInt(a(c).css("borderLeftWidth"),10)||0)+(parseInt(a(c).css("paddingLeft"),10)||0)-this.margins.left,d.top+(parseInt(a(c).css("borderTopWidth"),10)||0)+(parseInt(a(c).css("paddingTop"),10)||0)-this.margins.top,d.left+(e?Math.max(c.scrollWidth,c.offsetWidth):c.offsetWidth)-(parseInt(a(c).css("borderLeftWidth"),10)||0)-(parseInt(a(c).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,d.top+(e?Math.max(c.scrollHeight,c.offsetHeight):c.offsetHeight)-(parseInt(a(c).css("borderTopWidth"),10)||0)-(parseInt(a(c).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top]}},_convertPositionTo:function(b,c){c||(c=this.position);var d=b=="absolute"?1:-1,e=this.options,f=this.cssPosition=="absolute"&&(this.scrollParent[0]==document||!a.ui.contains(this.scrollParent[0],this.offsetParent[0]))?this.offsetParent:this.scrollParent,g=/(html|body)/i.test(f[0].tagName);return{top:c.top+this.offset.relative.top*d+this.offset.parent.top*d-(a.browser.safari&&this.cssPosition=="fixed"?0:(this.cssPosition=="fixed"?-this.scrollParent.scrollTop():g?0:f.scrollTop())*d),left:c.left+this.offset.relative.left*d+this.offset.parent.left*d-(a.browser.safari&&this.cssPosition=="fixed"?0:(this.cssPosition=="fixed"?-this.scrollParent.scrollLeft():g?0:f.scrollLeft())*d)}},_generatePosition:function(b){var c=this.options,d=this.cssPosition=="absolute"&&(this.scrollParent[0]==document||!a.ui.contains(this.scrollParent[0],this.offsetParent[0]))?this.offsetParent:this.scrollParent,e=/(html|body)/i.test(d[0].tagName);this.cssPosition=="relative"&&(this.scrollParent[0]==document||this.scrollParent[0]==this.offsetParent[0])&&(this.offset.relative=this._getRelativeOffset());var f=b.pageX,g=b.pageY;if(this.originalPosition){this.containment&&(b.pageX-this.offset.click.left<this.containment[0]&&(f=this.containment[0]+this.offset.click.left),b.pageY-this.offset.click.top<this.containment[1]&&(g=this.containment[1]+this.offset.click.top),b.pageX-this.offset.click.left>this.containment[2]&&(f=this.containment[2]+this.offset.click.left),b.pageY-this.offset.click.top>this.containment[3]&&(g=this.containment[3]+this.offset.click.top));if(c.grid){var h=this.originalPageY+Math.round((g-this.originalPageY)/c.grid[1])*c.grid[1];g=this.containment?h-this.offset.click.top<this.containment[1]||h-this.offset.click.top>this.containment[3]?h-this.offset.click.top<this.containment[1]?h+c.grid[1]:h-c.grid[1]:h:h;var i=this.originalPageX+Math.round((f-this.originalPageX)/c.grid[0])*c.grid[0];f=this.containment?i-this.offset.click.left<this.containment[0]||i-this.offset.click.left>this.containment[2]?i-this.offset.click.left<this.containment[0]?i+c.grid[0]:i-c.grid[0]:i:i}}return{top:g-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+(a.browser.safari&&this.cssPosition=="fixed"?0:this.cssPosition=="fixed"?-this.scrollParent.scrollTop():e?0:d.scrollTop()),left:f-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+(a.browser.safari&&this.cssPosition=="fixed"?0:this.cssPosition=="fixed"?-this.scrollParent.scrollLeft():e?0:d.scrollLeft())}},_rearrange:function(a,b,c,d){c?c[0].appendChild(this.placeholder[0]):b.item[0].parentNode.insertBefore(this.placeholder[0],this.direction=="down"?b.item[0]:b.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var e=this,f=this.counter;window.setTimeout(function(){f==e.counter&&e.refreshPositions(!d)},0)},_clear:function(b,c){this.reverting=!1;var d=[],e=this;!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null;if(this.helper[0]==this.currentItem[0]){for(var f in this._storedCSS)if(this._storedCSS[f]=="auto"||this._storedCSS[f]=="static")this._storedCSS[f]="";this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();this.fromOutside&&!c&&d.push(function(a){this._trigger("receive",a,this._uiHash(this.fromOutside))}),(this.fromOutside||this.domPosition.prev!=this.currentItem.prev().not(".ui-sortable-helper")[0]||this.domPosition.parent!=this.currentItem.parent()[0])&&!c&&d.push(function(a){this._trigger("update",a,this._uiHash())});if(!a.ui.contains(this.element[0],this.currentItem[0])){c||d.push(function(a){this._trigger("remove",a,this._uiHash())});for(var f=this.containers.length-1;f>=0;f--)a.ui.contains(this.containers[f].element[0],this.currentItem[0])&&!c&&(d.push(function(a){return function(b){a._trigger("receive",b,this._uiHash(this))}}.call(this,this.containers[f])),d.push(function(a){return function(b){a._trigger("update",b,this._uiHash(this))}}.call(this,this.containers[f])))}for(var f=this.containers.length-1;f>=0;f--)c||d.push(function(a){return function(b){a._trigger("deactivate",b,this._uiHash(this))}}.call(this,this.containers[f])),this.containers[f].containerCache.over&&(d.push(function(a){return function(b){a._trigger("out",b,this._uiHash(this))}}.call(this,this.containers[f])),this.containers[f].containerCache.over=0);this._storedCursor&&a("body").css("cursor",this._storedCursor),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex",this._storedZIndex=="auto"?"":this._storedZIndex),this.dragging=!1;if(this.cancelHelperRemoval){if(!c){this._trigger("beforeStop",b,this._uiHash());for(var f=0;f<d.length;f++)d[f].call(this,b);this._trigger("stop",b,this._uiHash())}return!1}c||this._trigger("beforeStop",b,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.helper[0]!=this.currentItem[0]&&this.helper.remove(),this.helper=null;if(!c){for(var f=0;f<d.length;f++)d[f].call(this,b);this._trigger("stop",b,this._uiHash())}this.fromOutside=!1;return!0},_trigger:function(){a.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(b){var c=b||this;return{helper:c.helper,placeholder:c.placeholder||a([]),position:c.position,originalPosition:c.originalPosition,offset:c.positionAbs,item:c.currentItem,sender:b?b.element:null}}}),a.extend(a.ui.sortable,{version:"1.8.17"})})(jQuery);/*
 * jQuery UI Accordion 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Accordion
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.widget.js
 */(function(a,b){a.widget("ui.accordion",{options:{active:0,animated:"slide",autoHeight:!0,clearStyle:!1,collapsible:!1,event:"click",fillSpace:!1,header:"> li > :first-child,> :not(li):even",icons:{header:"ui-icon-triangle-1-e",headerSelected:"ui-icon-triangle-1-s"},navigation:!1,navigationFilter:function(){return this.href.toLowerCase()===location.href.toLowerCase()}},_create:function(){var b=this,c=b.options;b.running=0,b.element.addClass("ui-accordion ui-widget ui-helper-reset").children("li").addClass("ui-accordion-li-fix"),b.headers=b.element.find(c.header).addClass("ui-accordion-header ui-helper-reset ui-state-default ui-corner-all").bind("mouseenter.accordion",function(){c.disabled||a(this).addClass("ui-state-hover")}).bind("mouseleave.accordion",function(){c.disabled||a(this).removeClass("ui-state-hover")}).bind("focus.accordion",function(){c.disabled||a(this).addClass("ui-state-focus")}).bind("blur.accordion",function(){c.disabled||a(this).removeClass("ui-state-focus")}),b.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom");if(c.navigation){var d=b.element.find("a").filter(c.navigationFilter).eq(0);if(d.length){var e=d.closest(".ui-accordion-header");e.length?b.active=e:b.active=d.closest(".ui-accordion-content").prev()}}b.active=b._findActive(b.active||c.active).addClass("ui-state-default ui-state-active").toggleClass("ui-corner-all").toggleClass("ui-corner-top"),b.active.next().addClass("ui-accordion-content-active"),b._createIcons(),b.resize(),b.element.attr("role","tablist"),b.headers.attr("role","tab").bind("keydown.accordion",function(a){return b._keydown(a)}).next().attr("role","tabpanel"),b.headers.not(b.active||"").attr({"aria-expanded":"false","aria-selected":"false",tabIndex:-1}).next().hide(),b.active.length?b.active.attr({"aria-expanded":"true","aria-selected":"true",tabIndex:0}):b.headers.eq(0).attr("tabIndex",0),a.browser.safari||b.headers.find("a").attr("tabIndex",-1),c.event&&b.headers.bind(c.event.split(" ").join(".accordion ")+".accordion",function(a){b._clickHandler.call(b,a,this),a.preventDefault()})},_createIcons:function(){var b=this.options;b.icons&&(a("<span></span>").addClass("ui-icon "+b.icons.header).prependTo(this.headers),this.active.children(".ui-icon").toggleClass(b.icons.header).toggleClass(b.icons.headerSelected),this.element.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.children(".ui-icon").remove(),this.element.removeClass("ui-accordion-icons")},destroy:function(){var b=this.options;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.unbind(".accordion").removeClass("ui-accordion-header ui-accordion-disabled ui-helper-reset ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("tabIndex"),this.headers.find("a").removeAttr("tabIndex"),this._destroyIcons();var c=this.headers.next().css("display","").removeAttr("role").removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-accordion-disabled ui-state-disabled");(b.autoHeight||b.fillHeight)&&c.css("height","");return a.Widget.prototype.destroy.call(this)},_setOption:function(b,c){a.Widget.prototype._setOption.apply(this,arguments),b=="active"&&this.activate(c),b=="icons"&&(this._destroyIcons(),c&&this._createIcons()),b=="disabled"&&this.headers.add(this.headers.next())[c?"addClass":"removeClass"]("ui-accordion-disabled ui-state-disabled")},_keydown:function(b){if(!(this.options.disabled||b.altKey||b.ctrlKey)){var c=a.ui.keyCode,d=this.headers.length,e=this.headers.index(b.target),f=!1;switch(b.keyCode){case c.RIGHT:case c.DOWN:f=this.headers[(e+1)%d];break;case c.LEFT:case c.UP:f=this.headers[(e-1+d)%d];break;case c.SPACE:case c.ENTER:this._clickHandler({target:b.target},b.target),b.preventDefault()}if(f){a(b.target).attr("tabIndex",-1),a(f).attr("tabIndex",0),f.focus();return!1}return!0}},resize:function(){var b=this.options,c;if(b.fillSpace){if(a.browser.msie){var d=this.element.parent().css("overflow");this.element.parent().css("overflow","hidden")}c=this.element.parent().height(),a.browser.msie&&this.element.parent().css("overflow",d),this.headers.each(function(){c-=a(this).outerHeight(!0)}),this.headers.next().each(function(){a(this).height(Math.max(0,c-a(this).innerHeight()+a(this).height()))}).css("overflow","auto")}else b.autoHeight&&(c=0,this.headers.next().each(function(){c=Math.max(c,a(this).height("").height())}).height(c));return this},activate:function(a){this.options.active=a;var b=this._findActive(a)[0];this._clickHandler({target:b},b);return this},_findActive:function(b){return b?typeof b=="number"?this.headers.filter(":eq("+b+")"):this.headers.not(this.headers.not(b)):b===!1?a([]):this.headers.filter(":eq(0)")},_clickHandler:function(b,c){var d=this.options;if(!d.disabled){if(!b.target){if(!d.collapsible)return;this.active.removeClass("ui-state-active ui-corner-top").addClass("ui-state-default ui-corner-all").children(".ui-icon").removeClass(d.icons.headerSelected).addClass(d.icons.header),this.active.next().addClass("ui-accordion-content-active");var e=this.active.next(),f={options:d,newHeader:a([]),oldHeader:d.active,newContent:a([]),oldContent:e},g=this.active=a([]);this._toggle(g,e,f);return}var h=a(b.currentTarget||c),i=h[0]===this.active[0];d.active=d.collapsible&&i?!1:this.headers.index(h);if(this.running||!d.collapsible&&i)return;var j=this.active,g=h.next(),e=this.active.next(),f={options:d,newHeader:i&&d.collapsible?a([]):h,oldHeader:this.active,newContent:i&&d.collapsible?a([]):g,oldContent:e},k=this.headers.index(this.active[0])>this.headers.index(h[0]);this.active=i?a([]):h,this._toggle(g,e,f,i,k),j.removeClass("ui-state-active ui-corner-top").addClass("ui-state-default ui-corner-all").children(".ui-icon").removeClass(d.icons.headerSelected).addClass(d.icons.header),i||(h.removeClass("ui-state-default ui-corner-all").addClass("ui-state-active ui-corner-top").children(".ui-icon").removeClass(d.icons.header).addClass(d.icons.headerSelected),h.next().addClass("ui-accordion-content-active"));return}},_toggle:function(b,c,d,e,f){var g=this,h=g.options;g.toShow=b,g.toHide=c,g.data=d;var i=function(){if(!!g)return g._completed.apply(g,arguments)};g._trigger("changestart",null,g.data),g.running=c.size()===0?b.size():c.size();if(h.animated){var j={};h.collapsible&&e?j={toShow:a([]),toHide:c,complete:i,down:f,autoHeight:h.autoHeight||h.fillSpace}:j={toShow:b,toHide:c,complete:i,down:f,autoHeight:h.autoHeight||h.fillSpace},h.proxied||(h.proxied=h.animated),h.proxiedDuration||(h.proxiedDuration=h.duration),h.animated=a.isFunction(h.proxied)?h.proxied(j):h.proxied,h.duration=a.isFunction(h.proxiedDuration)?h.proxiedDuration(j):h.proxiedDuration;var k=a.ui.accordion.animations,l=h.duration,m=h.animated;m&&!k[m]&&!a.easing[m]&&(m="slide"),k[m]||(k[m]=function(a){this.slide(a,{easing:m,duration:l||700})}),k[m](j)}else h.collapsible&&e?b.toggle():(c.hide(),b.show()),i(!0);c.prev().attr({"aria-expanded":"false","aria-selected":"false",tabIndex:-1}).blur(),b.prev().attr({"aria-expanded":"true","aria-selected":"true",tabIndex:0}).focus()},_completed:function(a){this.running=a?0:--this.running;this.running||(this.options.clearStyle&&this.toShow.add(this.toHide).css({height:"",overflow:""}),this.toHide.removeClass("ui-accordion-content-active"),this.toHide.length&&(this.toHide.parent()[0].className=this.toHide.parent()[0].className),this._trigger("change",null,this.data))}}),a.extend(a.ui.accordion,{version:"1.8.17",animations:{slide:function(b,c){b=a.extend({easing:"swing",duration:300},b,c);if(!b.toHide.size())b.toShow.animate({height:"show",paddingTop:"show",paddingBottom:"show"},b);else{if(!b.toShow.size()){b.toHide.animate({height:"hide",paddingTop:"hide",paddingBottom:"hide"},b);return}var d=b.toShow.css("overflow"),e=0,f={},g={},h=["height","paddingTop","paddingBottom"],i,j=b.toShow;i=j[0].style.width,j.width(j.parent().width()-parseFloat(j.css("paddingLeft"))-parseFloat(j.css("paddingRight"))-(parseFloat(j.css("borderLeftWidth"))||0)-(parseFloat(j.css("borderRightWidth"))||0)),a.each(h,function(c,d){g[d]="hide";var e=(""+a.css(b.toShow[0],d)).match(/^([\d+-.]+)(.*)$/);f[d]={value:e[1],unit:e[2]||"px"}}),b.toShow.css({height:0,overflow:"hidden"}).show(),b.toHide.filter(":hidden").each(b.complete).end().filter(":visible").animate(g,{step:function(a,c){c.prop=="height"&&(e=c.end-c.start===0?0:(c.now-c.start)/(c.end-c.start)),b.toShow[0].style[c.prop]=e*f[c.prop].value+f[c.prop].unit},duration:b.duration,easing:b.easing,complete:function(){b.autoHeight||b.toShow.css("height",""),b.toShow.css({width:i,overflow:d}),b.complete()}})}},bounceslide:function(a){this.slide(a,{easing:a.down?"easeOutBounce":"swing",duration:a.down?1e3:200})}}})})(jQuery);/*
 * jQuery UI Autocomplete 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Autocomplete
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.widget.js
 *	jquery.ui.position.js
 */(function(a,b){var c=0;a.widget("ui.autocomplete",{options:{appendTo:"body",autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null},pending:0,_create:function(){var b=this,c=this.element[0].ownerDocument,d;this.element.addClass("ui-autocomplete-input").attr("autocomplete","off").attr({role:"textbox","aria-autocomplete":"list","aria-haspopup":"true"}).bind("keydown.autocomplete",function(c){if(!b.options.disabled&&!b.element.propAttr("readOnly")){d=!1;var e=a.ui.keyCode;switch(c.keyCode){case e.PAGE_UP:b._move("previousPage",c);break;case e.PAGE_DOWN:b._move("nextPage",c);break;case e.UP:b._move("previous",c),c.preventDefault();break;case e.DOWN:b._move("next",c),c.preventDefault();break;case e.ENTER:case e.NUMPAD_ENTER:b.menu.active&&(d=!0,c.preventDefault());case e.TAB:if(!b.menu.active)return;b.menu.select(c);break;case e.ESCAPE:b.element.val(b.term),b.close(c);break;default:clearTimeout(b.searching),b.searching=setTimeout(function(){b.term!=b.element.val()&&(b.selectedItem=null,b.search(null,c))},b.options.delay)}}}).bind("keypress.autocomplete",function(a){d&&(d=!1,a.preventDefault())}).bind("focus.autocomplete",function(){b.options.disabled||(b.selectedItem=null,b.previous=b.element.val())}).bind("blur.autocomplete",function(a){b.options.disabled||(clearTimeout(b.searching),b.closing=setTimeout(function(){b.close(a),b._change(a)},150))}),this._initSource(),this.response=function(){return b._response.apply(b,arguments)},this.menu=a("<ul></ul>").addClass("ui-autocomplete").appendTo(a(this.options.appendTo||"body",c)[0]).mousedown(function(c){var d=b.menu.element[0];a(c.target).closest(".ui-menu-item").length||setTimeout(function(){a(document).one("mousedown",function(c){c.target!==b.element[0]&&c.target!==d&&!a.ui.contains(d,c.target)&&b.close()})},1),setTimeout(function(){clearTimeout(b.closing)},13)}).menu({focus:function(a,c){var d=c.item.data("item.autocomplete");!1!==b._trigger("focus",a,{item:d})&&/^key/.test(a.originalEvent.type)&&b.element.val(d.value)},selected:function(a,d){var e=d.item.data("item.autocomplete"),f=b.previous;b.element[0]!==c.activeElement&&(b.element.focus(),b.previous=f,setTimeout(function(){b.previous=f,b.selectedItem=e},1)),!1!==b._trigger("select",a,{item:e})&&b.element.val(e.value),b.term=b.element.val(),b.close(a),b.selectedItem=e},blur:function(a,c){b.menu.element.is(":visible")&&b.element.val()!==b.term&&b.element.val(b.term)}}).zIndex(this.element.zIndex()+1).css({top:0,left:0}).hide().data("menu"),a.fn.bgiframe&&this.menu.element.bgiframe(),b.beforeunloadHandler=function(){b.element.removeAttr("autocomplete")},a(window).bind("beforeunload",b.beforeunloadHandler)},destroy:function(){this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete").removeAttr("role").removeAttr("aria-autocomplete").removeAttr("aria-haspopup"),this.menu.element.remove(),a(window).unbind("beforeunload",this.beforeunloadHandler),a.Widget.prototype.destroy.call(this)},_setOption:function(b,c){a.Widget.prototype._setOption.apply(this,arguments),b==="source"&&this._initSource(),b==="appendTo"&&this.menu.element.appendTo(a(c||"body",this.element[0].ownerDocument)[0]),b==="disabled"&&c&&this.xhr&&this.xhr.abort()},_initSource:function(){var b=this,d,e;a.isArray(this.options.source)?(d=this.options.source,this.source=function(b,c){c(a.ui.autocomplete.filter(d,b.term))}):typeof this.options.source=="string"?(e=this.options.source,this.source=function(d,f){b.xhr&&b.xhr.abort(),b.xhr=a.ajax({url:e,data:d,dataType:"json",autocompleteRequest:++c,success:function(a,b){this.autocompleteRequest===c&&f(a)},error:function(){this.autocompleteRequest===c&&f([])}})}):this.source=this.options.source},search:function(a,b){a=a!=null?a:this.element.val(),this.term=this.element.val();if(a.length<this.options.minLength)return this.close(b);clearTimeout(this.closing);if(this._trigger("search",b)!==!1)return this._search(a)},_search:function(a){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.source({term:a},this.response)},_response:function(a){!this.options.disabled&&a&&a.length?(a=this._normalize(a),this._suggest(a),this._trigger("open")):this.close(),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},close:function(a){clearTimeout(this.closing),this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.deactivate(),this._trigger("close",a))},_change:function(a){this.previous!==this.element.val()&&this._trigger("change",a,{item:this.selectedItem})},_normalize:function(b){if(b.length&&b[0].label&&b[0].value)return b;return a.map(b,function(b){if(typeof b=="string")return{label:b,value:b};return a.extend({label:b.label||b.value,value:b.value||b.label},b)})},_suggest:function(b){var c=this.menu.element.empty().zIndex(this.element.zIndex()+1);this._renderMenu(c,b),this.menu.deactivate(),this.menu.refresh(),c.show(),this._resizeMenu(),c.position(a.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next(new a.Event("mouseover"))},_resizeMenu:function(){var a=this.menu.element;a.outerWidth(Math.max(a.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(b,c){var d=this;a.each(c,function(a,c){d._renderItem(b,c)})},_renderItem:function(b,c){return a("<li></li>").data("item.autocomplete",c).append(a("<a></a>").text(c.label)).appendTo(b)},_move:function(a,b){if(!this.menu.element.is(":visible"))this.search(null,b);else{if(this.menu.first()&&/^previous/.test(a)||this.menu.last()&&/^next/.test(a)){this.element.val(this.term),this.menu.deactivate();return}this.menu[a](b)}},widget:function(){return this.menu.element}}),a.extend(a.ui.autocomplete,{escapeRegex:function(a){return a.replace(/[-[\]{}()*+?.,\\^$|#\s]/g,"\\$&")},filter:function(b,c){var d=new RegExp(a.ui.autocomplete.escapeRegex(c),"i");return a.grep(b,function(a){return d.test(a.label||a.value||a)})}})})(jQuery),function(a){a.widget("ui.menu",{_create:function(){var b=this;this.element.addClass("ui-menu ui-widget ui-widget-content ui-corner-all").attr({role:"listbox","aria-activedescendant":"ui-active-menuitem"}).click(function(c){!a(c.target).closest(".ui-menu-item a").length||(c.preventDefault(),b.select(c))}),this.refresh()},refresh:function(){var b=this,c=this.element.children("li:not(.ui-menu-item):has(a)").addClass("ui-menu-item").attr("role","menuitem");c.children("a").addClass("ui-corner-all").attr("tabindex",-1).mouseenter(function(c){b.activate(c,a(this).parent())}).mouseleave(function(){b.deactivate()})},activate:function(a,b){this.deactivate();if(this.hasScroll()){var c=b.offset().top-this.element.offset().top,d=this.element.scrollTop(),e=this.element.height();c<0?this.element.scrollTop(d+c):c>=e&&this.element.scrollTop(d+c-e+b.height())}this.active=b.eq(0).children("a").addClass("ui-state-hover").attr("id","ui-active-menuitem").end(),this._trigger("focus",a,{item:b})},deactivate:function(){!this.active||(this.active.children("a").removeClass("ui-state-hover").removeAttr("id"),this._trigger("blur"),this.active=null)},next:function(a){this.move("next",".ui-menu-item:first",a)},previous:function(a){this.move("prev",".ui-menu-item:last",a)},first:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},last:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},move:function(a,b,c){if(!this.active)this.activate(c,this.element.children(b));else{var d=this.active[a+"All"](".ui-menu-item").eq(0);d.length?this.activate(c,d):this.activate(c,this.element.children(b))}},nextPage:function(b){if(this.hasScroll()){if(!this.active||this.last()){this.activate(b,this.element.children(".ui-menu-item:first"));return}var c=this.active.offset().top,d=this.element.height(),e=this.element.children(".ui-menu-item").filter(function(){var b=a(this).offset().top-c-d+a(this).height();return b<10&&b>-10});e.length||(e=this.element.children(".ui-menu-item:last")),this.activate(b,e)}else this.activate(b,this.element.children(".ui-menu-item").filter(!this.active||this.last()?":first":":last"))},previousPage:function(b){if(this.hasScroll()){if(!this.active||this.first()){this.activate(b,this.element.children(".ui-menu-item:last"));return}var c=this.active.offset().top,d=this.element.height();result=this.element.children(".ui-menu-item").filter(function(){var b=a(this).offset().top-c+d-a(this).height();return b<10&&b>-10}),result.length||(result=this.element.children(".ui-menu-item:first")),this.activate(b,result)}else this.activate(b,this.element.children(".ui-menu-item").filter(!this.active||this.first()?":last":":first"))},hasScroll:function(){return this.element.height()<this.element[a.fn.prop?"prop":"attr"]("scrollHeight")},select:function(a){this._trigger("selected",a,{item:this.active})}})}(jQuery);/*
 * jQuery UI Button 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Button
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.widget.js
 */(function(a,b){var c,d,e,f,g="ui-button ui-widget ui-state-default ui-corner-all",h="ui-state-hover ui-state-active ",i="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",j=function(){var b=a(this).find(":ui-button");setTimeout(function(){b.button("refresh")},1)},k=function(b){var c=b.name,d=b.form,e=a([]);c&&(d?e=a(d).find("[name='"+c+"']"):e=a("[name='"+c+"']",b.ownerDocument).filter(function(){return!this.form}));return e};a.widget("ui.button",{options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset.button").bind("reset.button",j),typeof this.options.disabled!="boolean"&&(this.options.disabled=this.element.propAttr("disabled")),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var b=this,h=this.options,i=this.type==="checkbox"||this.type==="radio",l="ui-state-hover"+(i?"":" ui-state-active"),m="ui-state-focus";h.label===null&&(h.label=this.buttonElement.html()),this.element.is(":disabled")&&(h.disabled=!0),this.buttonElement.addClass(g).attr("role","button").bind("mouseenter.button",function(){h.disabled||(a(this).addClass("ui-state-hover"),this===c&&a(this).addClass("ui-state-active"))}).bind("mouseleave.button",function(){h.disabled||a(this).removeClass(l)}).bind("click.button",function(a){h.disabled&&(a.preventDefault(),a.stopImmediatePropagation())}),this.element.bind("focus.button",function(){b.buttonElement.addClass(m)}).bind("blur.button",function(){b.buttonElement.removeClass(m)}),i&&(this.element.bind("change.button",function(){f||b.refresh()}),this.buttonElement.bind("mousedown.button",function(a){h.disabled||(f=!1,d=a.pageX,e=a.pageY)}).bind("mouseup.button",function(a){!h.disabled&&(d!==a.pageX||e!==a.pageY)&&(f=!0)})),this.type==="checkbox"?this.buttonElement.bind("click.button",function(){if(h.disabled||f)return!1;a(this).toggleClass("ui-state-active"),b.buttonElement.attr("aria-pressed",b.element[0].checked)}):this.type==="radio"?this.buttonElement.bind("click.button",function(){if(h.disabled||f)return!1;a(this).addClass("ui-state-active"),b.buttonElement.attr("aria-pressed","true");var c=b.element[0];k(c).not(c).map(function(){return a(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown.button",function(){if(h.disabled)return!1;a(this).addClass("ui-state-active"),c=this,a(document).one("mouseup",function(){c=null})}).bind("mouseup.button",function(){if(h.disabled)return!1;a(this).removeClass("ui-state-active")}).bind("keydown.button",function(b){if(h.disabled)return!1;(b.keyCode==a.ui.keyCode.SPACE||b.keyCode==a.ui.keyCode.ENTER)&&a(this).addClass("ui-state-active")}).bind("keyup.button",function(){a(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(b){b.keyCode===a.ui.keyCode.SPACE&&a(this).click()})),this._setOption("disabled",h.disabled),this._resetButton()},_determineButtonType:function(){this.element.is(":checkbox")?this.type="checkbox":this.element.is(":radio")?this.type="radio":this.element.is("input")?this.type="input":this.type="button";if(this.type==="checkbox"||this.type==="radio"){var a=this.element.parents().filter(":last"),b="label[for='"+this.element.attr("id")+"']";this.buttonElement=a.find(b),this.buttonElement.length||(a=a.length?a.siblings():this.element.siblings(),this.buttonElement=a.filter(b),this.buttonElement.length||(this.buttonElement=a.find(b))),this.element.addClass("ui-helper-hidden-accessible");var c=this.element.is(":checked");c&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.attr("aria-pressed",c)}else this.buttonElement=this.element},widget:function(){return this.buttonElement},destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(g+" "+h+" "+i).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title"),a.Widget.prototype.destroy.call(this)},_setOption:function(b,c){a.Widget.prototype._setOption.apply(this,arguments);b==="disabled"?c?this.element.propAttr("disabled",!0):this.element.propAttr("disabled",!1):this._resetButton()},refresh:function(){var b=this.element.is(":disabled");b!==this.options.disabled&&this._setOption("disabled",b),this.type==="radio"?k(this.element[0]).each(function(){a(this).is(":checked")?a(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):a(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):this.type==="checkbox"&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if(this.type==="input")this.options.label&&this.element.val(this.options.label);else{var b=this.buttonElement.removeClass(i),c=a("<span></span>",this.element[0].ownerDocument).addClass("ui-button-text").html(this.options.label).appendTo(b.empty()).text(),d=this.options.icons,e=d.primary&&d.secondary,f=[];d.primary||d.secondary?(this.options.text&&f.push("ui-button-text-icon"+(e?"s":d.primary?"-primary":"-secondary")),d.primary&&b.prepend("<span class='ui-button-icon-primary ui-icon "+d.primary+"'></span>"),d.secondary&&b.append("<span class='ui-button-icon-secondary ui-icon "+d.secondary+"'></span>"),this.options.text||(f.push(e?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||b.attr("title",c))):f.push("ui-button-text-only"),b.addClass(f.join(" "))}}}),a.widget("ui.buttonset",{options:{items:":button, :submit, :reset, :checkbox, :radio, a, :data(button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(b,c){b==="disabled"&&this.buttons.button("option",b,c),a.Widget.prototype._setOption.apply(this,arguments)},refresh:function(){var b=this.element.css("direction")==="rtl";this.buttons=this.element.find(this.options.items).filter(":ui-button").button("refresh").end().not(":ui-button").button().end().map(function(){return a(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(b?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(b?"ui-corner-left":"ui-corner-right").end().end()},destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return a(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy"),a.Widget.prototype.destroy.call(this)}})})(jQuery);/*
 * jQuery UI Dialog 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Dialog
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.widget.js
 *  jquery.ui.button.js
 *	jquery.ui.draggable.js
 *	jquery.ui.mouse.js
 *	jquery.ui.position.js
 *	jquery.ui.resizable.js
 */(function(a,b){var c="ui-dialog ui-widget ui-widget-content ui-corner-all ",d={buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},e={maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},f=a.attrFn||{val:!0,css:!0,html:!0,text:!0,data:!0,width:!0,height:!0,offset:!0,click:!0};a.widget("ui.dialog",{options:{autoOpen:!0,buttons:{},closeOnEscape:!0,closeText:"close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:!1,maxWidth:!1,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",collision:"fit",using:function(b){var c=a(this).css(b).offset().top;c<0&&a(this).css("top",b.top-c)}},resizable:!0,show:null,stack:!0,title:"",width:300,zIndex:1e3},_create:function(){this.originalTitle=this.element.attr("title"),typeof this.originalTitle!="string"&&(this.originalTitle=""),this.options.title=this.options.title||this.originalTitle;var b=this,d=b.options,e=d.title||"&#160;",f=a.ui.dialog.getTitleId(b.element),g=(b.uiDialog=a("<div></div>")).appendTo(document.body).hide().addClass(c+d.dialogClass).css({zIndex:d.zIndex}).attr("tabIndex",-1).css("outline",0).keydown(function(c){d.closeOnEscape&&!c.isDefaultPrevented()&&c.keyCode&&c.keyCode===a.ui.keyCode.ESCAPE&&(b.close(c),c.preventDefault())}).attr({role:"dialog","aria-labelledby":f}).mousedown(function(a){b.moveToTop(!1,a)}),h=b.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(g),i=(b.uiDialogTitlebar=a("<div></div>")).addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(g),j=a('<a href="#"></a>').addClass("ui-dialog-titlebar-close ui-corner-all").attr("role","button").hover(function(){j.addClass("ui-state-hover")},function(){j.removeClass("ui-state-hover")}).focus(function(){j.addClass("ui-state-focus")}).blur(function(){j.removeClass("ui-state-focus")}).click(function(a){b.close(a);return!1}).appendTo(i),k=(b.uiDialogTitlebarCloseText=a("<span></span>")).addClass("ui-icon ui-icon-closethick").text(d.closeText).appendTo(j),l=a("<span></span>").addClass("ui-dialog-title").attr("id",f).html(e).prependTo(i);a.isFunction(d.beforeclose)&&!a.isFunction(d.beforeClose)&&(d.beforeClose=d.beforeclose),i.find("*").add(i).disableSelection(),d.draggable&&a.fn.draggable&&b._makeDraggable(),d.resizable&&a.fn.resizable&&b._makeResizable(),b._createButtons(d.buttons),b._isOpen=!1,a.fn.bgiframe&&g.bgiframe()},_init:function(){this.options.autoOpen&&this.open()},destroy:function(){var a=this;a.overlay&&a.overlay.destroy(),a.uiDialog.hide(),a.element.unbind(".dialog").removeData("dialog").removeClass("ui-dialog-content ui-widget-content").hide().appendTo("body"),a.uiDialog.remove(),a.originalTitle&&a.element.attr("title",a.originalTitle);return a},widget:function(){return this.uiDialog},close:function(b){var c=this,d,e;if(!1!==c._trigger("beforeClose",b)){c.overlay&&c.overlay.destroy(),c.uiDialog.unbind("keypress.ui-dialog"),c._isOpen=!1,c.options.hide?c.uiDialog.hide(c.options.hide,function(){c._trigger("close",b)}):(c.uiDialog.hide(),c._trigger("close",b)),a.ui.dialog.overlay.resize(),c.options.modal&&(d=0,a(".ui-dialog").each(function(){this!==c.uiDialog[0]&&(e=a(this).css("z-index"),isNaN(e)||(d=Math.max(d,e)))}),a.ui.dialog.maxZ=d);return c}},isOpen:function(){return this._isOpen},moveToTop:function(b,c){var d=this,e=d.options,f;if(e.modal&&!b||!e.stack&&!e.modal)return d._trigger("focus",c);e.zIndex>a.ui.dialog.maxZ&&(a.ui.dialog.maxZ=e.zIndex),d.overlay&&(a.ui.dialog.maxZ+=1,d.overlay.$el.css("z-index",a.ui.dialog.overlay.maxZ=a.ui.dialog.maxZ)),f={scrollTop:d.element.scrollTop(),scrollLeft:d.element.scrollLeft()},a.ui.dialog.maxZ+=1,d.uiDialog.css("z-index",a.ui.dialog.maxZ),d.element.attr(f),d._trigger("focus",c);return d},open:function(){if(!this._isOpen){var b=this,c=b.options,d=b.uiDialog;b.overlay=c.modal?new a.ui.dialog.overlay(b):null,b._size(),b._position(c.position),d.show(c.show),b.moveToTop(!0),c.modal&&d.bind("keydown.ui-dialog",function(b){if(b.keyCode===a.ui.keyCode.TAB){var c=a(":tabbable",this),d=c.filter(":first"),e=c.filter(":last");if(b.target===e[0]&&!b.shiftKey){d.focus(1);return!1}if(b.target===d[0]&&b.shiftKey){e.focus(1);return!1}}}),a(b.element.find(":tabbable").get().concat(d.find(".ui-dialog-buttonpane :tabbable").get().concat(d.get()))).eq(0).focus(),b._isOpen=!0,b._trigger("open");return b}},_createButtons:function(b){var c=this,d=!1,e=a("<div></div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),g=a("<div></div>").addClass("ui-dialog-buttonset").appendTo(e);c.uiDialog.find(".ui-dialog-buttonpane").remove(),typeof b=="object"&&b!==null&&a.each(b,function(){return!(d=!0)}),d&&(a.each(b,function(b,d){d=a.isFunction(d)?{click:d,text:b}:d;var e=a('<button type="button"></button>').click(function(){d.click.apply(c.element[0],arguments)}).appendTo(g);a.each(d,function(a,b){a!=="click"&&(a in f?e[a](b):e.attr(a,b))}),a.fn.button&&e.button()}),e.appendTo(c.uiDialog))},_makeDraggable:function(){function f(a){return{position:a.position,offset:a.offset}}var b=this,c=b.options,d=a(document),e;b.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(d,g){e=c.height==="auto"?"auto":a(this).height(),a(this).height(a(this).height()).addClass("ui-dialog-dragging"),b._trigger("dragStart",d,f(g))},drag:function(a,c){b._trigger("drag",a,f(c))},stop:function(g,h){c.position=[h.position.left-d.scrollLeft(),h.position.top-d.scrollTop()],a(this).removeClass("ui-dialog-dragging").height(e),b._trigger("dragStop",g,f(h)),a.ui.dialog.overlay.resize()}})},_makeResizable:function(c){function h(a){return{originalPosition:a.originalPosition,originalSize:a.originalSize,position:a.position,size:a.size}}c=c===b?this.options.resizable:c;var d=this,e=d.options,f=d.uiDialog.css("position"),g=typeof c=="string"?c:"n,e,s,w,se,sw,ne,nw";d.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:d.element,maxWidth:e.maxWidth,maxHeight:e.maxHeight,minWidth:e.minWidth,minHeight:d._minHeight(),handles:g,start:function(b,c){a(this).addClass("ui-dialog-resizing"),d._trigger("resizeStart",b,h(c))},resize:function(a,b){d._trigger("resize",a,h(b))},stop:function(b,c){a(this).removeClass("ui-dialog-resizing"),e.height=a(this).height(),e.width=a(this).width(),d._trigger("resizeStop",b,h(c)),a.ui.dialog.overlay.resize()}}).css("position",f).find(".ui-resizable-se").addClass("ui-icon ui-icon-grip-diagonal-se")},_minHeight:function(){var a=this.options;return a.height==="auto"?a.minHeight:Math.min(a.minHeight,a.height)},_position:function(b){var c=[],d=[0,0],e;if(b){if(typeof b=="string"||typeof b=="object"&&"0"in b)c=b.split?b.split(" "):[b[0],b[1]],c.length===1&&(c[1]=c[0]),a.each(["left","top"],function(a,b){+c[a]===c[a]&&(d[a]=c[a],c[a]=b)}),b={my:c.join(" "),at:c.join(" "),offset:d.join(" ")};b=a.extend({},a.ui.dialog.prototype.options.position,b)}else b=a.ui.dialog.prototype.options.position;e=this.uiDialog.is(":visible"),e||this.uiDialog.show(),this.uiDialog.css({top:0,left:0}).position(a.extend({of:window},b)),e||this.uiDialog.hide()},_setOptions:function(b){var c=this,f={},g=!1;a.each(b,function(a,b){c._setOption(a,b),a in d&&(g=!0),a in e&&(f[a]=b)}),g&&this._size(),this.uiDialog.is(":data(resizable)")&&this.uiDialog.resizable("option",f)},_setOption:function(b,d){var e=this,f=e.uiDialog;switch(b){case"beforeclose":b="beforeClose";break;case"buttons":e._createButtons(d);break;case"closeText":e.uiDialogTitlebarCloseText.text(""+d);break;case"dialogClass":f.removeClass(e.options.dialogClass).addClass(c+d);break;case"disabled":d?f.addClass("ui-dialog-disabled"):f.removeClass("ui-dialog-disabled");break;case"draggable":var g=f.is(":data(draggable)");g&&!d&&f.draggable("destroy"),!g&&d&&e._makeDraggable();break;case"position":e._position(d);break;case"resizable":var h=f.is(":data(resizable)");h&&!d&&f.resizable("destroy"),h&&typeof d=="string"&&f.resizable("option","handles",d),!h&&d!==!1&&e._makeResizable(d);break;case"title":a(".ui-dialog-title",e.uiDialogTitlebar).html(""+(d||"&#160;"))}a.Widget.prototype._setOption.apply(e,arguments)},_size:function(){var b=this.options,c,d,e=this.uiDialog.is(":visible");this.element.show().css({width:"auto",minHeight:0,height:0}),b.minWidth>b.width&&(b.width=b.minWidth),c=this.uiDialog.css({height:"auto",width:b.width}).height(),d=Math.max(0,b.minHeight-c);if(b.height==="auto")if(a.support.minHeight)this.element.css({minHeight:d,height:"auto"});else{this.uiDialog.show();var f=this.element.css("height","auto").height();e||this.uiDialog.hide(),this.element.height(Math.max(f,d))}else this.element.height(Math.max(b.height-c,0));this.uiDialog.is(":data(resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())}}),a.extend(a.ui.dialog,{version:"1.8.17",uuid:0,maxZ:0,getTitleId:function(a){var b=a.attr("id");b||(this.uuid+=1,b=this.uuid);return"ui-dialog-title-"+b},overlay:function(b){this.$el=a.ui.dialog.overlay.create(b)}}),a.extend(a.ui.dialog.overlay,{instances:[],oldInstances:[],maxZ:0,events:a.map("focus,mousedown,mouseup,keydown,keypress,click".split(","),function(a){return a+".dialog-overlay"}).join(" "),create:function(b){this.instances.length===0&&(setTimeout(function(){a.ui.dialog.overlay.instances.length&&a(document).bind(a.ui.dialog.overlay.events,function(b){if(a(b.target).zIndex()<a.ui.dialog.overlay.maxZ)return!1})},1),a(document).bind("keydown.dialog-overlay",function(c){b.options.closeOnEscape&&!c.isDefaultPrevented()&&c.keyCode&&c.keyCode===a.ui.keyCode.ESCAPE&&(b.close(c),c.preventDefault())}),a(window).bind("resize.dialog-overlay",a.ui.dialog.overlay.resize));var c=(this.oldInstances.pop()||a("<div></div>").addClass("ui-widget-overlay")).appendTo(document.body).css({width:this.width(),height:this.height()});a.fn.bgiframe&&c.bgiframe(),this.instances.push(c);return c},destroy:function(b){var c=a.inArray(b,this.instances);c!=-1&&this.oldInstances.push(this.instances.splice(c,1)[0]),this.instances.length===0&&a([document,window]).unbind(".dialog-overlay"),b.remove();var d=0;a.each(this.instances,function(){d=Math.max(d,this.css("z-index"))}),this.maxZ=d},height:function(){var b,c;if(a.browser.msie&&a.browser.version<7){b=Math.max(document.documentElement.scrollHeight,document.body.scrollHeight),c=Math.max(document.documentElement.offsetHeight,document.body.offsetHeight);return b<c?a(window).height()+"px":b+"px"}return a(document).height()+"px"},width:function(){var b,c;if(a.browser.msie){b=Math.max(document.documentElement.scrollWidth,document.body.scrollWidth),c=Math.max(document.documentElement.offsetWidth,document.body.offsetWidth);return b<c?a(window).width()+"px":b+"px"}return a(document).width()+"px"},resize:function(){var b=a([]);a.each(a.ui.dialog.overlay.instances,function(){b=b.add(this)}),b.css({width:0,height:0}).css({width:a.ui.dialog.overlay.width(),height:a.ui.dialog.overlay.height()})}}),a.extend(a.ui.dialog.overlay.prototype,{destroy:function(){a.ui.dialog.overlay.destroy(this.$el)}})})(jQuery);/*
 * jQuery UI Slider 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Slider
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.mouse.js
 *	jquery.ui.widget.js
 */(function(a,b){var c=5;a.widget("ui.slider",a.ui.mouse,{widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null},_create:function(){var b=this,d=this.options,e=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),f="<a class='ui-slider-handle ui-state-default ui-corner-all' href='#'></a>",g=d.values&&d.values.length||1,h=[];this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"+(d.disabled?" ui-slider-disabled ui-disabled":"")),this.range=a([]),d.range&&(d.range===!0&&(d.values||(d.values=[this._valueMin(),this._valueMin()]),d.values.length&&d.values.length!==2&&(d.values=[d.values[0],d.values[0]])),this.range=a("<div></div>").appendTo(this.element).addClass("ui-slider-range ui-widget-header"+(d.range==="min"||d.range==="max"?" ui-slider-range-"+d.range:"")));for(var i=e.length;i<g;i+=1)h.push(f);this.handles=e.add(a(h.join("")).appendTo(b.element)),this.handle=this.handles.eq(0),this.handles.add(this.range).filter("a").click(function(a){a.preventDefault()}).hover(function(){d.disabled||a(this).addClass("ui-state-hover")},function(){a(this).removeClass("ui-state-hover")}).focus(function(){d.disabled?a(this).blur():(a(".ui-slider .ui-state-focus").removeClass("ui-state-focus"),a(this).addClass("ui-state-focus"))}).blur(function(){a(this).removeClass("ui-state-focus")}),this.handles.each(function(b){a(this).data("index.ui-slider-handle",b)}),this.handles.keydown(function(d){var e=!0,f=a(this).data("index.ui-slider-handle"),g,h,i,j;if(!b.options.disabled){switch(d.keyCode){case a.ui.keyCode.HOME:case a.ui.keyCode.END:case a.ui.keyCode.PAGE_UP:case a.ui.keyCode.PAGE_DOWN:case a.ui.keyCode.UP:case a.ui.keyCode.RIGHT:case a.ui.keyCode.DOWN:case a.ui.keyCode.LEFT:e=!1;if(!b._keySliding){b._keySliding=!0,a(this).addClass("ui-state-active"),g=b._start(d,f);if(g===!1)return}}j=b.options.step,b.options.values&&b.options.values.length?h=i=b.values(f):h=i=b.value();switch(d.keyCode){case a.ui.keyCode.HOME:i=b._valueMin();break;case a.ui.keyCode.END:i=b._valueMax();break;case a.ui.keyCode.PAGE_UP:i=b._trimAlignValue(h+(b._valueMax()-b._valueMin())/c);break;case a.ui.keyCode.PAGE_DOWN:i=b._trimAlignValue(h-(b._valueMax()-b._valueMin())/c);break;case a.ui.keyCode.UP:case a.ui.keyCode.RIGHT:if(h===b._valueMax())return;i=b._trimAlignValue(h+j);break;case a.ui.keyCode.DOWN:case a.ui.keyCode.LEFT:if(h===b._valueMin())return;i=b._trimAlignValue(h-j)}b._slide(d,f,i);return e}}).keyup(function(c){var d=a(this).data("index.ui-slider-handle");b._keySliding&&(b._keySliding=!1,b._stop(c,d),b._change(c,d),a(this).removeClass("ui-state-active"))}),this._refreshValue(),this._animateOff=!1},destroy:function(){this.handles.remove(),this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-slider-disabled ui-widget ui-widget-content ui-corner-all").removeData("slider").unbind(".slider"),this._mouseDestroy();return this},_mouseCapture:function(b){var c=this.options,d,e,f,g,h,i,j,k,l;if(c.disabled)return!1;this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),d={x:b.pageX,y:b.pageY},e=this._normValueFromMouse(d),f=this._valueMax()-this._valueMin()+1,h=this,this.handles.each(function(b){var c=Math.abs(e-h.values(b));f>c&&(f=c,g=a(this),i=b)}),c.range===!0&&this.values(1)===c.min&&(i+=1,g=a(this.handles[i])),j=this._start(b,i);if(j===!1)return!1;this._mouseSliding=!0,h._handleIndex=i,g.addClass("ui-state-active").focus(),k=g.offset(),l=!a(b.target).parents().andSelf().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:b.pageX-k.left-g.width()/2,top:b.pageY-k.top-g.height()/2-(parseInt(g.css("borderTopWidth"),10)||0)-(parseInt(g.css("borderBottomWidth"),10)||0)+(parseInt(g.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(b,i,e),this._animateOff=!0;return!0},_mouseStart:function(a){return!0},_mouseDrag:function(a){var b={x:a.pageX,y:a.pageY},c=this._normValueFromMouse(b);this._slide(a,this._handleIndex,c);return!1},_mouseStop:function(a){this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(a,this._handleIndex),this._change(a,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1;return!1},_detectOrientation:function(){this.orientation=this.options.orientation==="vertical"?"vertical":"horizontal"},_normValueFromMouse:function(a){var b,c,d,e,f;this.orientation==="horizontal"?(b=this.elementSize.width,c=a.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(b=this.elementSize.height,c=a.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),d=c/b,d>1&&(d=1),d<0&&(d=0),this.orientation==="vertical"&&(d=1-d),e=this._valueMax()-this._valueMin(),f=this._valueMin()+d*e;return this._trimAlignValue(f)},_start:function(a,b){var c={handle:this.handles[b],value:this.value()};this.options.values&&this.options.values.length&&(c.value=this.values(b),c.values=this.values());return this._trigger("start",a,c)},_slide:function(a,b,c){var d,e,f;this.options.values&&this.options.values.length?(d=this.values(b?0:1),this.options.values.length===2&&this.options.range===!0&&(b===0&&c>d||b===1&&c<d)&&(c=d),c!==this.values(b)&&(e=this.values(),e[b]=c,f=this._trigger("slide",a,{handle:this.handles[b],value:c,values:e}),d=this.values(b?0:1),f!==!1&&this.values(b,c,!0))):c!==this.value()&&(f=this._trigger("slide",a,{handle:this.handles[b],value:c}),f!==!1&&this.value(c))},_stop:function(a,b){var c={handle:this.handles[b],value:this.value()};this.options.values&&this.options.values.length&&(c.value=this.values(b),c.values=this.values()),this._trigger("stop",a,c)},_change:function(a,b){if(!this._keySliding&&!this._mouseSliding){var c={handle:this.handles[b],value:this.value()};this.options.values&&this.options.values.length&&(c.value=this.values(b),c.values=this.values()),this._trigger("change",a,c)}},value:function(a){if(arguments.length)this.options.value=this._trimAlignValue(a),this._refreshValue(),this._change(null,0);else return this._value()},values:function(b,c){var d,e,f;if(arguments.length>1)this.options.values[b]=this._trimAlignValue(c),this._refreshValue(),this._change(null,b);else{if(!arguments.length)return this._values();if(!a.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(b):this.value();d=this.options.values,e=arguments[0];for(f=0;f<d.length;f+=1)d[f]=this._trimAlignValue(e[f]),this._change(null,f);this._refreshValue()}},_setOption:function(b,c){var d,e=0;a.isArray(this.options.values)&&(e=this.options.values.length),a.Widget.prototype._setOption.apply(this,arguments);switch(b){case"disabled":c?(this.handles.filter(".ui-state-focus").blur(),this.handles.removeClass("ui-state-hover"),this.handles.propAttr("disabled",!0),this.element.addClass("ui-disabled")):(this.handles.propAttr("disabled",!1),this.element.removeClass("ui-disabled"));break;case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue();break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":this._animateOff=!0,this._refreshValue();for(d=0;d<e;d+=1)this._change(null,d);this._animateOff=!1}},_value:function(){var a=this.options.value;a=this._trimAlignValue(a);return a},_values:function(a){var b,c,d;if(arguments.length){b=this.options.values[a],b=this._trimAlignValue(b);return b}c=this.options.values.slice();for(d=0;d<c.length;d+=1)c[d]=this._trimAlignValue(c[d]);return c},_trimAlignValue:function(a){if(a<=this._valueMin())return this._valueMin();if(a>=this._valueMax())return this._valueMax();var b=this.options.step>0?this.options.step:1,c=(a-this._valueMin())%b,d=a-c;Math.abs(c)*2>=b&&(d+=c>0?b:-b);return parseFloat(d.toFixed(5))},_valueMin:function(){return this.options.min},_valueMax:function(){return this.options.max},_refreshValue:function(){var b=this.options.range,c=this.options,d=this,e=this._animateOff?!1:c.animate,f,g={},h,i,j,k;this.options.values&&this.options.values.length?this.handles.each(function(b,i){f=(d.values(b)-d._valueMin())/(d._valueMax()-d._valueMin())*100,g[d.orientation==="horizontal"?"left":"bottom"]=f+"%",a(this).stop(1,1)[e?"animate":"css"](g,c.animate),d.options.range===!0&&(d.orientation==="horizontal"?(b===0&&d.range.stop(1,1)[e?"animate":"css"]({left:f+"%"},c.animate),b===1&&d.range[e?"animate":"css"]({width:f-h+"%"},{queue:!1,duration:c.animate})):(b===0&&d.range.stop(1,1)[e?"animate":"css"]({bottom:f+"%"},c.animate),b===1&&d.range[e?"animate":"css"]({height:f-h+"%"},{queue:!1,duration:c.animate}))),h=f}):(i=this.value(),j=this._valueMin(),k=this._valueMax(),f=k!==j?(i-j)/(k-j)*100:0,g[d.orientation==="horizontal"?"left":"bottom"]=f+"%",this.handle.stop(1,1)[e?"animate":"css"](g,c.animate),b==="min"&&this.orientation==="horizontal"&&this.range.stop(1,1)[e?"animate":"css"]({width:f+"%"},c.animate),b==="max"&&this.orientation==="horizontal"&&this.range[e?"animate":"css"]({width:100-f+"%"},{queue:!1,duration:c.animate}),b==="min"&&this.orientation==="vertical"&&this.range.stop(1,1)[e?"animate":"css"]({height:f+"%"},c.animate),b==="max"&&this.orientation==="vertical"&&this.range[e?"animate":"css"]({height:100-f+"%"},{queue:!1,duration:c.animate}))}}),a.extend(a.ui.slider,{version:"1.8.17"})})(jQuery);/*
 * jQuery UI Tabs 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Tabs
 *
 * Depends:
 *	jquery.ui.core.js
 *	jquery.ui.widget.js
 */(function(a,b){function f(){return++d}function e(){return++c}var c=0,d=0;a.widget("ui.tabs",{options:{add:null,ajaxOptions:null,cache:!1,cookie:null,collapsible:!1,disable:null,disabled:[],enable:null,event:"click",fx:null,idPrefix:"ui-tabs-",load:null,panelTemplate:"<div></div>",remove:null,select:null,show:null,spinner:"<em>Loading&#8230;</em>",tabTemplate:"<li><a href='#{href}'><span>#{label}</span></a></li>"},_create:function(){this._tabify(!0)},_setOption:function(a,b){if(a=="selected"){if(this.options.collapsible&&b==this.options.selected)return;this.select(b)}else this.options[a]=b,this._tabify()},_tabId:function(a){return a.title&&a.title.replace(/\s/g,"_").replace(/[^\w\u00c0-\uFFFF-]/g,"")||this.options.idPrefix+e()},_sanitizeSelector:function(a){return a.replace(/:/g,"\\:")},_cookie:function(){var b=this.cookie||(this.cookie=this.options.cookie.name||"ui-tabs-"+f());return a.cookie.apply(null,[b].concat(a.makeArray(arguments)))},_ui:function(a,b){return{tab:a,panel:b,index:this.anchors.index(a)}},_cleanup:function(){this.lis.filter(".ui-state-processing").removeClass("ui-state-processing").find("span:data(label.tabs)").each(function(){var b=a(this);b.html(b.data("label.tabs")).removeData("label.tabs")})},_tabify:function(c){function m(b,c){b.css("display",""),!a.support.opacity&&c.opacity&&b[0].style.removeAttribute("filter")}var d=this,e=this.options,f=/^#.+/;this.list=this.element.find("ol,ul").eq(0),this.lis=a(" > li:has(a[href])",this.list),this.anchors=this.lis.map(function(){return a("a",this)[0]}),this.panels=a([]),this.anchors.each(function(b,c){var g=a(c).attr("href"),h=g.split("#")[0],i;h&&(h===location.toString().split("#")[0]||(i=a("base")[0])&&h===i.href)&&(g=c.hash,c.href=g);if(f.test(g))d.panels=d.panels.add(d.element.find(d._sanitizeSelector(g)));else if(g&&g!=="#"){a.data(c,"href.tabs",g),a.data(c,"load.tabs",g.replace(/#.*$/,""));var j=d._tabId(c);c.href="#"+j;var k=d.element.find("#"+j);k.length||(k=a(e.panelTemplate).attr("id",j).addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").insertAfter(d.panels[b-1]||d.list),k.data("destroy.tabs",!0)),d.panels=d.panels.add(k)}else e.disabled.push(b)}),c?(this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all"),this.list.addClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all"),this.lis.addClass("ui-state-default ui-corner-top"),this.panels.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom"),e.selected===b?(location.hash&&this.anchors.each(function(a,b){if(b.hash==location.hash){e.selected=a;return!1}}),typeof e.selected!="number"&&e.cookie&&(e.selected=parseInt(d._cookie(),10)),typeof e.selected!="number"&&this.lis.filter(".ui-tabs-selected").length&&(e.selected=this.lis.index(this.lis.filter(".ui-tabs-selected"))),e.selected=e.selected||(this.lis.length?0:-1)):e.selected===null&&(e.selected=-1),e.selected=e.selected>=0&&this.anchors[e.selected]||e.selected<0?e.selected:0,e.disabled=a.unique(e.disabled.concat(a.map(this.lis.filter(".ui-state-disabled"),function(a,b){return d.lis.index(a)}))).sort(),a.inArray(e.selected,e.disabled)!=-1&&e.disabled.splice(a.inArray(e.selected,e.disabled),1),this.panels.addClass("ui-tabs-hide"),this.lis.removeClass("ui-tabs-selected ui-state-active"),e.selected>=0&&this.anchors.length&&(d.element.find(d._sanitizeSelector(d.anchors[e.selected].hash)).removeClass("ui-tabs-hide"),this.lis.eq(e.selected).addClass("ui-tabs-selected ui-state-active"),d.element.queue("tabs",function(){d._trigger("show",null,d._ui(d.anchors[e.selected],d.element.find(d._sanitizeSelector(d.anchors[e.selected].hash))[0]))}),this.load(e.selected)),a(window).bind("unload",function(){d.lis.add(d.anchors).unbind(".tabs"),d.lis=d.anchors=d.panels=null})):e.selected=this.lis.index(this.lis.filter(".ui-tabs-selected")),this.element[e.collapsible?"addClass":"removeClass"]("ui-tabs-collapsible"),e.cookie&&this._cookie(e.selected,e.cookie);for(var g=0,h;h=this.lis[g];g++)a(h)[a.inArray(g,e.disabled)!=-1&&!a(h).hasClass("ui-tabs-selected")?"addClass":"removeClass"]("ui-state-disabled");e.cache===!1&&this.anchors.removeData("cache.tabs"),this.lis.add(this.anchors).unbind(".tabs");if(e.event!=="mouseover"){var i=function(a,b){b.is(":not(.ui-state-disabled)")&&b.addClass("ui-state-"+a)},j=function(a,b){b.removeClass("ui-state-"+a)};this.lis.bind("mouseover.tabs",function(){i("hover",a(this))}),this.lis.bind("mouseout.tabs",function(){j("hover",a(this))}),this.anchors.bind("focus.tabs",function(){i("focus",a(this).closest("li"))}),this.anchors.bind("blur.tabs",function(){j("focus",a(this).closest("li"))})}var k,l;e.fx&&(a.isArray(e.fx)?(k=e.fx[0],l=e.fx[1]):k=l=e.fx);var n=l?function(b,c){a(b).closest("li").addClass("ui-tabs-selected ui-state-active"),c.hide().removeClass("ui-tabs-hide").animate(l,l.duration||"normal",function(){m(c,l),d._trigger("show",null,d._ui(b,c[0]))})}:function(b,c){a(b).closest("li").addClass("ui-tabs-selected ui-state-active"),c.removeClass("ui-tabs-hide"),d._trigger("show",null,d._ui(b,c[0]))},o=k?function(a,b){b.animate(k,k.duration||"normal",function(){d.lis.removeClass("ui-tabs-selected ui-state-active"),b.addClass("ui-tabs-hide"),m(b,k),d.element.dequeue("tabs")})}:function(a,b,c){d.lis.removeClass("ui-tabs-selected ui-state-active"),b.addClass("ui-tabs-hide"),d.element.dequeue("tabs")};this.anchors.bind(e.event+".tabs",function(){var b=this,c=a(b).closest("li"),f=d.panels.filter(":not(.ui-tabs-hide)"),g=d.element.find(d._sanitizeSelector(b.hash));if(c.hasClass("ui-tabs-selected")&&!e.collapsible||c.hasClass("ui-state-disabled")||c.hasClass("ui-state-processing")||d.panels.filter(":animated").length||d._trigger("select",null,d._ui(this,g[0]))===!1){this.blur();return!1}e.selected=d.anchors.index(this),d.abort();if(e.collapsible){if(c.hasClass("ui-tabs-selected")){e.selected=-1,e.cookie&&d._cookie(e.selected,e.cookie),d.element.queue("tabs",function(){o(b,f)}).dequeue("tabs"),this.blur();return!1}if(!f.length){e.cookie&&d._cookie(e.selected,e.cookie),d.element.queue("tabs",function(){n(b,g)}),d.load(d.anchors.index(this)),this.blur();return!1}}e.cookie&&d._cookie(e.selected,e.cookie);if(g.length)f.length&&d.element.queue("tabs",function(){o(b,f)}),d.element.queue("tabs",function(){n(b,g)}),d.load(d.anchors.index(this));else throw"jQuery UI Tabs: Mismatching fragment identifier.";a.browser.msie&&this.blur()}),this.anchors.bind("click.tabs",function(){return!1})},_getIndex:function(a){typeof a=="string"&&(a=this.anchors.index(this.anchors.filter("[href$="+a+"]")));return a},destroy:function(){var b=this.options;this.abort(),this.element.unbind(".tabs").removeClass("ui-tabs ui-widget ui-widget-content ui-corner-all ui-tabs-collapsible").removeData("tabs"),this.list.removeClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all"),this.anchors.each(function(){var b=a.data(this,"href.tabs");b&&(this.href=b);var c=a(this).unbind(".tabs");a.each(["href","load","cache"],function(a,b){c.removeData(b+".tabs")})}),this.lis.unbind(".tabs").add(this.panels).each(function(){a.data(this,"destroy.tabs")?a(this).remove():a(this).removeClass(["ui-state-default","ui-corner-top","ui-tabs-selected","ui-state-active","ui-state-hover","ui-state-focus","ui-state-disabled","ui-tabs-panel","ui-widget-content","ui-corner-bottom","ui-tabs-hide"].join(" "))}),b.cookie&&this._cookie(null,b.cookie);return this},add:function(c,d,e){e===b&&(e=this.anchors.length);var f=this,g=this.options,h=a(g.tabTemplate.replace(/#\{href\}/g,c).replace(/#\{label\}/g,d)),i=c.indexOf("#")?this._tabId(a("a",h)[0]):c.replace("#","");h.addClass("ui-state-default ui-corner-top").data("destroy.tabs",!0);var j=f.element.find("#"+i);j.length||(j=a(g.panelTemplate).attr("id",i).data("destroy.tabs",!0)),j.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom ui-tabs-hide"),e>=this.lis.length?(h.appendTo(this.list),j.appendTo(this.list[0].parentNode)):(h.insertBefore(this.lis[e]),j.insertBefore(this.panels[e])),g.disabled=a.map(g.disabled,function(a,b){return a>=e?++a:a}),this._tabify(),this.anchors.length==1&&(g.selected=0,h.addClass("ui-tabs-selected ui-state-active"),j.removeClass("ui-tabs-hide"),this.element.queue("tabs",function(){f._trigger("show",null,f._ui(f.anchors[0],f.panels[0]))}),this.load(0)),this._trigger("add",null,this._ui(this.anchors[e],this.panels[e]));return this},remove:function(b){b=this._getIndex(b);var c=this.options,d=this.lis.eq(b).remove(),e=this.panels.eq(b).remove();d.hasClass("ui-tabs-selected")&&this.anchors.length>1&&this.select(b+(b+1<this.anchors.length?1:-1)),c.disabled=a.map(a.grep(c.disabled,function(a,c){return a!=b}),function(a,c){return a>=b?--a:a}),this._tabify(),this._trigger("remove",null,this._ui(d.find("a")[0],e[0]));return this},enable:function(b){b=this._getIndex(b);var c=this.options;if(a.inArray(b,c.disabled)!=-1){this.lis.eq(b).removeClass("ui-state-disabled"),c.disabled=a.grep(c.disabled,function(a,c){return a!=b}),this._trigger("enable",null,this._ui(this.anchors[b],this.panels[b]));return this}},disable:function(a){a=this._getIndex(a);var b=this,c=this.options;a!=c.selected&&(this.lis.eq(a).addClass("ui-state-disabled"),c.disabled.push(a),c.disabled.sort(),this._trigger("disable",null,this._ui(this.anchors[a],this.panels[a])));return this},select:function(a){a=this._getIndex(a);if(a==-1)if(this.options.collapsible&&this.options.selected!=-1)a=this.options.selected;else return this;this.anchors.eq(a).trigger(this.options.event+".tabs");return this},load:function(b){b=this._getIndex(b);var c=this,d=this.options,e=this.anchors.eq(b)[0],f=a.data(e,"load.tabs");this.abort();if(!f||this.element.queue("tabs").length!==0&&a.data(e,"cache.tabs"))this.element.dequeue("tabs");else{this.lis.eq(b).addClass("ui-state-processing");if(d.spinner){var g=a("span",e);g.data("label.tabs",g.html()).html(d.spinner)}this.xhr=a.ajax(a.extend({},d.ajaxOptions,{url:f,success:function(f,g){c.element.find(c._sanitizeSelector(e.hash)).html(f),c._cleanup(),d.cache&&a.data(e,"cache.tabs",!0),c._trigger("load",null,c._ui(c.anchors[b],c.panels[b]));try{d.ajaxOptions.success(f,g)}catch(h){}},error:function(a,f,g){c._cleanup(),c._trigger("load",null,c._ui(c.anchors[b],c.panels[b]));try{d.ajaxOptions.error(a,f,b,e)}catch(g){}}})),c.element.dequeue("tabs");return this}},abort:function(){this.element.queue([]),this.panels.stop(!1,!0),this.element.queue("tabs",this.element.queue("tabs").splice(-2,2)),this.xhr&&(this.xhr.abort(),delete this.xhr),this._cleanup();return this},url:function(a,b){this.anchors.eq(a).removeData("cache.tabs").data("load.tabs",b);return this},length:function(){return this.anchors.length}}),a.extend(a.ui.tabs,{version:"1.8.17"}),a.extend(a.ui.tabs.prototype,{rotation:null,rotate:function(a,b){var c=this,d=this.options,e=c._rotate||(c._rotate=function(b){clearTimeout(c.rotation),c.rotation=setTimeout(function(){var a=d.selected;c.select(++a<c.anchors.length?a:0)},a),b&&b.stopPropagation()}),f=c._unrotate||(c._unrotate=b?function(a){t=d.selected,e()}:function(a){a.clientX&&c.rotate(null)});a?(this.element.bind("tabsshow",e),this.anchors.bind(d.event+".tabs",f),e()):(clearTimeout(c.rotation),this.element.unbind("tabsshow",e),this.anchors.unbind(d.event+".tabs",f),delete this._rotate,delete this._unrotate);return this}})})(jQuery);/*
 * jQuery UI Datepicker 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Datepicker
 *
 * Depends:
 *	jquery.ui.core.js
 */(function($,undefined){function isArray(a){return a&&($.browser.safari&&typeof a=="object"&&a.length||a.constructor&&a.constructor.toString().match(/\Array\(\)/))}function extendRemove(a,b){$.extend(a,b);for(var c in b)if(b[c]==null||b[c]==undefined)a[c]=b[c];return a}function bindHover(a){var b="button, .ui-datepicker-prev, .ui-datepicker-next, .ui-datepicker-calendar td a";return a.bind("mouseout",function(a){var c=$(a.target).closest(b);!c.length||c.removeClass("ui-state-hover ui-datepicker-prev-hover ui-datepicker-next-hover")}).bind("mouseover",function(c){var d=$(c.target).closest(b);!$.datepicker._isDisabledDatepicker(instActive.inline?a.parent()[0]:instActive.input[0])&&!!d.length&&(d.parents(".ui-datepicker-calendar").find("a").removeClass("ui-state-hover"),d.addClass("ui-state-hover"),d.hasClass("ui-datepicker-prev")&&d.addClass("ui-datepicker-prev-hover"),d.hasClass("ui-datepicker-next")&&d.addClass("ui-datepicker-next-hover"))})}function Datepicker(){this.debug=!1,this._curInst=null,this._keyEvent=!1,this._disabledInputs=[],this._datepickerShowing=!1,this._inDialog=!1,this._mainDivId="ui-datepicker-div",this._inlineClass="ui-datepicker-inline",this._appendClass="ui-datepicker-append",this._triggerClass="ui-datepicker-trigger",this._dialogClass="ui-datepicker-dialog",this._disableClass="ui-datepicker-disabled",this._unselectableClass="ui-datepicker-unselectable",this._currentClass="ui-datepicker-current-day",this._dayOverClass="ui-datepicker-days-cell-over",this.regional=[],this.regional[""]={closeText:"Done",prevText:"Prev",nextText:"Next",currentText:"Today",monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],weekHeader:"Wk",dateFormat:"mm/dd/yy",firstDay:0,isRTL:!1,showMonthAfterYear:!1,yearSuffix:""},this._defaults={showOn:"focus",showAnim:"fadeIn",showOptions:{},defaultDate:null,appendText:"",buttonText:"...",buttonImage:"",buttonImageOnly:!1,hideIfNoPrevNext:!1,navigationAsDateFormat:!1,gotoCurrent:!1,changeMonth:!1,changeYear:!1,yearRange:"c-10:c+10",showOtherMonths:!1,selectOtherMonths:!1,showWeek:!1,calculateWeek:this.iso8601Week,shortYearCutoff:"+10",minDate:null,maxDate:null,duration:"fast",beforeShowDay:null,beforeShow:null,onSelect:null,onChangeMonthYear:null,onClose:null,numberOfMonths:1,showCurrentAtPos:0,stepMonths:1,stepBigMonths:12,altField:"",altFormat:"",constrainInput:!0,showButtonPanel:!1,autoSize:!1,disabled:!1},$.extend(this._defaults,this.regional[""]),this.dpDiv=bindHover($('<div id="'+this._mainDivId+'" class="ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all"></div>'))}$.extend($.ui,{datepicker:{version:"1.8.17"}});var PROP_NAME="datepicker",dpuuid=(new Date).getTime(),instActive;$.extend(Datepicker.prototype,{markerClassName:"hasDatepicker",maxRows:4,log:function(){this.debug&&console.log.apply("",arguments)},_widgetDatepicker:function(){return this.dpDiv},setDefaults:function(a){extendRemove(this._defaults,a||{});return this},_attachDatepicker:function(target,settings){var inlineSettings=null;for(var attrName in this._defaults){var attrValue=target.getAttribute("date:"+attrName);if(attrValue){inlineSettings=inlineSettings||{};try{inlineSettings[attrName]=eval(attrValue)}catch(err){inlineSettings[attrName]=attrValue}}}var nodeName=target.nodeName.toLowerCase(),inline=nodeName=="div"||nodeName=="span";target.id||(this.uuid+=1,target.id="dp"+this.uuid);var inst=this._newInst($(target),inline);inst.settings=$.extend({},settings||{},inlineSettings||{}),nodeName=="input"?this._connectDatepicker(target,inst):inline&&this._inlineDatepicker(target,inst)},_newInst:function(a,b){var c=a[0].id.replace(/([^A-Za-z0-9_-])/g,"\\\\$1");return{id:c,input:a,selectedDay:0,selectedMonth:0,selectedYear:0,drawMonth:0,drawYear:0,inline:b,dpDiv:b?bindHover($('<div class="'+this._inlineClass+' ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all"></div>')):this.dpDiv}},_connectDatepicker:function(a,b){var c=$(a);b.append=$([]),b.trigger=$([]);c.hasClass(this.markerClassName)||(this._attachments(c,b),c.addClass(this.markerClassName).keydown(this._doKeyDown).keypress(this._doKeyPress).keyup(this._doKeyUp).bind("setData.datepicker",function(a,c,d){b.settings[c]=d}).bind("getData.datepicker",function(a,c){return this._get(b,c)}),this._autoSize(b),$.data(a,PROP_NAME,b),b.settings.disabled&&this._disableDatepicker(a))},_attachments:function(a,b){var c=this._get(b,"appendText"),d=this._get(b,"isRTL");b.append&&b.append.remove(),c&&(b.append=$('<span class="'+this._appendClass+'">'+c+"</span>"),a[d?"before":"after"](b.append)),a.unbind("focus",this._showDatepicker),b.trigger&&b.trigger.remove();var e=this._get(b,"showOn");(e=="focus"||e=="both")&&a.focus(this._showDatepicker);if(e=="button"||e=="both"){var f=this._get(b,"buttonText"),g=this._get(b,"buttonImage");b.trigger=$(this._get(b,"buttonImageOnly")?$("<img/>").addClass(this._triggerClass).attr({src:g,alt:f,title:f}):$('<button type="button"></button>').addClass(this._triggerClass).html(g==""?f:$("<img/>").attr({src:g,alt:f,title:f}))),a[d?"before":"after"](b.trigger),b.trigger.click(function(){$.datepicker._datepickerShowing&&$.datepicker._lastInput==a[0]?$.datepicker._hideDatepicker():$.datepicker._showDatepicker(a[0]);return!1})}},_autoSize:function(a){if(this._get(a,"autoSize")&&!a.inline){var b=new Date(2009,11,20),c=this._get(a,"dateFormat");if(c.match(/[DM]/)){var d=function(a){var b=0,c=0;for(var d=0;d<a.length;d++)a[d].length>b&&(b=a[d].length,c=d);return c};b.setMonth(d(this._get(a,c.match(/MM/)?"monthNames":"monthNamesShort"))),b.setDate(d(this._get(a,c.match(/DD/)?"dayNames":"dayNamesShort"))+20-b.getDay())}a.input.attr("size",this._formatDate(a,b).length)}},_inlineDatepicker:function(a,b){var c=$(a);c.hasClass(this.markerClassName)||(c.addClass(this.markerClassName).append(b.dpDiv).bind("setData.datepicker",function(a,c,d){b.settings[c]=d}).bind("getData.datepicker",function(a,c){return this._get(b,c)}),$.data(a,PROP_NAME,b),this._setDate(b,this._getDefaultDate(b),!0),this._updateDatepicker(b),this._updateAlternate(b),b.settings.disabled&&this._disableDatepicker(a),b.dpDiv.css("display","block"))},_dialogDatepicker:function(a,b,c,d,e){var f=this._dialogInst;if(!f){this.uuid+=1;var g="dp"+this.uuid;this._dialogInput=$('<input type="text" id="'+g+'" style="position: absolute; top: -100px; width: 0px; z-index: -10;"/>'),this._dialogInput.keydown(this._doKeyDown),$("body").append(this._dialogInput),f=this._dialogInst=this._newInst(this._dialogInput,!1),f.settings={},$.data(this._dialogInput[0],PROP_NAME,f)}extendRemove(f.settings,d||{}),b=b&&b.constructor==Date?this._formatDate(f,b):b,this._dialogInput.val(b),this._pos=e?e.length?e:[e.pageX,e.pageY]:null;if(!this._pos){var h=document.documentElement.clientWidth,i=document.documentElement.clientHeight,j=document.documentElement.scrollLeft||document.body.scrollLeft,k=document.documentElement.scrollTop||document.body.scrollTop;this._pos=[h/2-100+j,i/2-150+k]}this._dialogInput.css("left",this._pos[0]+20+"px").css("top",this._pos[1]+"px"),f.settings.onSelect=c,this._inDialog=!0,this.dpDiv.addClass(this._dialogClass),this._showDatepicker(this._dialogInput[0]),$.blockUI&&$.blockUI(this.dpDiv),$.data(this._dialogInput[0],PROP_NAME,f);return this},_destroyDatepicker:function(a){var b=$(a),c=$.data(a,PROP_NAME);if(!!b.hasClass(this.markerClassName)){var d=a.nodeName.toLowerCase();$.removeData(a,PROP_NAME),d=="input"?(c.append.remove(),c.trigger.remove(),b.removeClass(this.markerClassName).unbind("focus",this._showDatepicker).unbind("keydown",this._doKeyDown).unbind("keypress",this._doKeyPress).unbind("keyup",this._doKeyUp)):(d=="div"||d=="span")&&b.removeClass(this.markerClassName).empty()}},_enableDatepicker:function(a){var b=$(a),c=$.data(a,PROP_NAME);if(!!b.hasClass(this.markerClassName)){var d=a.nodeName.toLowerCase();if(d=="input")a.disabled=!1,c.trigger.filter("button").each(function(){this.disabled=!1}).end().filter("img").css({opacity:"1.0",cursor:""});else if(d=="div"||d=="span"){var e=b.children("."+this._inlineClass);e.children().removeClass("ui-state-disabled"),e.find("select.ui-datepicker-month, select.ui-datepicker-year").removeAttr("disabled")}this._disabledInputs=$.map(this._disabledInputs,function(b){return b==a?null:b})}},_disableDatepicker:function(a){var b=$(a),c=$.data(a,PROP_NAME);if(!!b.hasClass(this.markerClassName)){var d=a.nodeName.toLowerCase();if(d=="input")a.disabled=!0,c.trigger.filter("button").each(function(){this.disabled=!0}).end().filter("img").css({opacity:"0.5",cursor:"default"});else if(d=="div"||d=="span"){var e=b.children("."+this._inlineClass);e.children().addClass("ui-state-disabled"),e.find("select.ui-datepicker-month, select.ui-datepicker-year").attr("disabled","disabled")}this._disabledInputs=$.map(this._disabledInputs,function(b){return b==a?null:b}),this._disabledInputs[this._disabledInputs.length]=a}},_isDisabledDatepicker:function(a){if(!a)return!1;for(var b=0;b<this._disabledInputs.length;b++)if(this._disabledInputs[b]==a)return!0;return!1},_getInst:function(a){try{return $.data(a,PROP_NAME)}catch(b){throw"Missing instance data for this datepicker"}},_optionDatepicker:function(a,b,c){var d=this._getInst(a);if(arguments.length==2&&typeof b=="string")return b=="defaults"?$.extend({},$.datepicker._defaults):d?b=="all"?$.extend({},d.settings):this._get(d,b):null;var e=b||{};typeof b=="string"&&(e={},e[b]=c);if(d){this._curInst==d&&this._hideDatepicker();var f=this._getDateDatepicker(a,!0),g=this._getMinMaxDate(d,"min"),h=this._getMinMaxDate(d,"max");extendRemove(d.settings,e),g!==null&&e.dateFormat!==undefined&&e.minDate===undefined&&(d.settings.minDate=this._formatDate(d,g)),h!==null&&e.dateFormat!==undefined&&e.maxDate===undefined&&(d.settings.maxDate=this._formatDate(d,h)),this._attachments($(a),d),this._autoSize(d),this._setDate(d,f),this._updateAlternate(d),this._updateDatepicker(d)}},_changeDatepicker:function(a,b,c){this._optionDatepicker(a,b,c)},_refreshDatepicker:function(a){var b=this._getInst(a);b&&this._updateDatepicker(b)},_setDateDatepicker:function(a,b){var c=this._getInst(a);c&&(this._setDate(c,b),this._updateDatepicker(c),this._updateAlternate(c))},_getDateDatepicker:function(a,b){var c=this._getInst(a);c&&!c.inline&&this._setDateFromField(c,b);return c?this._getDate(c):null},_doKeyDown:function(a){var b=$.datepicker._getInst(a.target),c=!0,d=b.dpDiv.is(".ui-datepicker-rtl");b._keyEvent=!0;if($.datepicker._datepickerShowing)switch(a.keyCode){case 9:$.datepicker._hideDatepicker(),c=!1;break;case 13:var e=$("td."+$.datepicker._dayOverClass+":not(."+$.datepicker._currentClass+")",b.dpDiv);e[0]&&$.datepicker._selectDay(a.target,b.selectedMonth,b.selectedYear,e[0]);var f=$.datepicker._get(b,"onSelect");if(f){var g=$.datepicker._formatDate(b);f.apply(b.input?b.input[0]:null,[g,b])}else $.datepicker._hideDatepicker();return!1;case 27:$.datepicker._hideDatepicker();break;case 33:$.datepicker._adjustDate(a.target,a.ctrlKey?-$.datepicker._get(b,"stepBigMonths"):-$.datepicker._get(b,"stepMonths"),"M");break;case 34:$.datepicker._adjustDate(a.target,a.ctrlKey?+$.datepicker._get(b,"stepBigMonths"):+$.datepicker._get(b,"stepMonths"),"M");break;case 35:(a.ctrlKey||a.metaKey)&&$.datepicker._clearDate(a.target),c=a.ctrlKey||a.metaKey;break;case 36:(a.ctrlKey||a.metaKey)&&$.datepicker._gotoToday(a.target),c=a.ctrlKey||a.metaKey;break;case 37:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,d?1:-1,"D"),c=a.ctrlKey||a.metaKey,a.originalEvent.altKey&&$.datepicker._adjustDate(a.target,a.ctrlKey?-$.datepicker._get(b,"stepBigMonths"):-$.datepicker._get(b,"stepMonths"),"M");break;case 38:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,-7,"D"),c=a.ctrlKey||a.metaKey;break;case 39:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,d?-1:1,"D"),c=a.ctrlKey||a.metaKey,a.originalEvent.altKey&&$.datepicker._adjustDate(a.target,a.ctrlKey?+$.datepicker._get(b,"stepBigMonths"):+$.datepicker._get(b,"stepMonths"),"M");break;case 40:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,7,"D"),c=a.ctrlKey||a.metaKey;break;default:c=!1}else a.keyCode==36&&a.ctrlKey?$.datepicker._showDatepicker(this):c=!1;c&&(a.preventDefault(),a.stopPropagation())},_doKeyPress:function(a){var b=$.datepicker._getInst(a.target);if($.datepicker._get(b,"constrainInput")){var c=$.datepicker._possibleChars($.datepicker._get(b,"dateFormat")),d=String.fromCharCode(a.charCode==undefined?a.keyCode:a.charCode);return a.ctrlKey||a.metaKey||d<" "||!c||c.indexOf(d)>-1}},_doKeyUp:function(a){var b=$.datepicker._getInst(a.target);if(b.input.val()!=b.lastVal)try{var c=$.datepicker.parseDate($.datepicker._get(b,"dateFormat"),b.input?b.input.val():null,$.datepicker._getFormatConfig(b));c&&($.datepicker._setDateFromField(b),$.datepicker._updateAlternate(b),$.datepicker._updateDatepicker(b))}catch(a){$.datepicker.log(a)}return!0},_showDatepicker:function(a){a=a.target||a,a.nodeName.toLowerCase()!="input"&&(a=$("input",a.parentNode)[0]);if(!$.datepicker._isDisabledDatepicker(a)&&$.datepicker._lastInput!=a){var b=$.datepicker._getInst(a);$.datepicker._curInst&&$.datepicker._curInst!=b&&($.datepicker._curInst.dpDiv.stop(!0,!0),b&&$.datepicker._datepickerShowing&&$.datepicker._hideDatepicker($.datepicker._curInst.input[0]));var c=$.datepicker._get(b,"beforeShow"),d=c?c.apply(a,[a,b]):{};if(d===!1)return;extendRemove(b.settings,d),b.lastVal=null,$.datepicker._lastInput=a,$.datepicker._setDateFromField(b),$.datepicker._inDialog&&(a.value=""),$.datepicker._pos||($.datepicker._pos=$.datepicker._findPos(a),$.datepicker._pos[1]+=a.offsetHeight);var e=!1;$(a).parents().each(function(){e|=$(this).css("position")=="fixed";return!e}),e&&$.browser.opera&&($.datepicker._pos[0]-=document.documentElement.scrollLeft,$.datepicker._pos[1]-=document.documentElement.scrollTop);var f={left:$.datepicker._pos[0],top:$.datepicker._pos[1]};$.datepicker._pos=null,b.dpDiv.empty(),b.dpDiv.css({position:"absolute",display:"block",top:"-1000px"}),$.datepicker._updateDatepicker(b),f=$.datepicker._checkOffset(b,f,e),b.dpDiv.css({position:$.datepicker._inDialog&&$.blockUI?"static":e?"fixed":"absolute",display:"none",left:f.left+"px",top:f.top+"px"});if(!b.inline){var g=$.datepicker._get(b,"showAnim"),h=$.datepicker._get(b,"duration"),i=function(){var a=b.dpDiv.find("iframe.ui-datepicker-cover");if(!!a.length){var c=$.datepicker._getBorders(b.dpDiv);a.css({left:-c[0],top:-c[1],width:b.dpDiv.outerWidth(),height:b.dpDiv.outerHeight()})}};b.dpDiv.zIndex($(a).zIndex()+1),$.datepicker._datepickerShowing=!0,$.effects&&$.effects[g]?b.dpDiv.show(g,$.datepicker._get(b,"showOptions"),h,i):b.dpDiv[g||"show"](g?h:null,i),(!g||!h)&&i(),b.input.is(":visible")&&!b.input.is(":disabled")&&b.input.focus(),$.datepicker._curInst=b}}},_updateDatepicker:function(a){var b=this;b.maxRows=4;var c=$.datepicker._getBorders(a.dpDiv);instActive=a,a.dpDiv.empty().append(this._generateHTML(a));var d=a.dpDiv.find("iframe.ui-datepicker-cover");!d.length||d.css({left:-c[0],top:-c[1],width:a.dpDiv.outerWidth(),height:a.dpDiv.outerHeight()}),a.dpDiv.find("."+this._dayOverClass+" a").mouseover();var e=this._getNumberOfMonths(a),f=e[1],g=17;a.dpDiv.removeClass("ui-datepicker-multi-2 ui-datepicker-multi-3 ui-datepicker-multi-4").width(""),f>1&&a.dpDiv.addClass("ui-datepicker-multi-"+f).css("width",g*f+"em"),a.dpDiv[(e[0]!=1||e[1]!=1?"add":"remove")+"Class"]("ui-datepicker-multi"),a.dpDiv[(this._get(a,"isRTL")?"add":"remove")+"Class"]("ui-datepicker-rtl"),a==$.datepicker._curInst&&$.datepicker._datepickerShowing&&a.input&&a.input.is(":visible")&&!a.input.is(":disabled")&&a.input[0]!=document.activeElement&&a.input.focus();if(a.yearshtml){var h=a.yearshtml;setTimeout(function(){h===a.yearshtml&&a.yearshtml&&a.dpDiv.find("select.ui-datepicker-year:first").replaceWith(a.yearshtml),h=a.yearshtml=null},0)}},_getBorders:function(a){var b=function(a){return{thin:1,medium:2,thick:3}[a]||a};return[parseFloat(b(a.css("border-left-width"))),parseFloat(b(a.css("border-top-width")))]},_checkOffset:function(a,b,c){var d=a.dpDiv.outerWidth(),e=a.dpDiv.outerHeight(),f=a.input?a.input.outerWidth():0,g=a.input?a.input.outerHeight():0,h=document.documentElement.clientWidth+$(document).scrollLeft(),i=document.documentElement.clientHeight+$(document).scrollTop();b.left-=this._get(a,"isRTL")?d-f:0,b.left-=c&&b.left==a.input.offset().left?$(document).scrollLeft():0,b.top-=c&&b.top==a.input.offset().top+g?$(document).scrollTop():0,b.left-=Math.min(b.left,b.left+d>h&&h>d?Math.abs(b.left+d-h):0),b.top-=Math.min(b.top,b.top+e>i&&i>e?Math.abs(e+g):0);return b},_findPos:function(a){var b=this._getInst(a),c=this._get(b,"isRTL");while(a&&(a.type=="hidden"||a.nodeType!=1||$.expr.filters.hidden(a)))a=a[c?"previousSibling":"nextSibling"];var d=$(a).offset();return[d.left,d.top]},_hideDatepicker:function(a){var b=this._curInst;if(!(!b||a&&b!=$.data(a,PROP_NAME))&&this._datepickerShowing){var c=this._get(b,"showAnim"),d=this._get(b,"duration"),e=this,f=function(){$.datepicker._tidyDialog(b),e._curInst=null};$.effects&&$.effects[c]?b.dpDiv.hide(c,$.datepicker._get(b,"showOptions"),d,f):b.dpDiv[c=="slideDown"?"slideUp":c=="fadeIn"?"fadeOut":"hide"](c?d:null,f),c||f(),this._datepickerShowing=!1;var g=this._get(b,"onClose");g&&g.apply(b.input?b.input[0]:null,[b.input?b.input.val():"",b]),this._lastInput=null,this._inDialog&&(this._dialogInput.css({position:"absolute",left:"0",top:"-100px"}),$.blockUI&&($.unblockUI(),$("body").append(this.dpDiv))),this._inDialog=!1}},_tidyDialog:function(a){a.dpDiv.removeClass(this._dialogClass).unbind(".ui-datepicker-calendar")},_checkExternalClick:function(a){if(!!$.datepicker._curInst){var b=$(a.target),c=$.datepicker._getInst(b[0]);(b[0].id!=$.datepicker._mainDivId&&b.parents("#"+$.datepicker._mainDivId).length==0&&!b.hasClass($.datepicker.markerClassName)&&!b.hasClass($.datepicker._triggerClass)&&$.datepicker._datepickerShowing&&(!$.datepicker._inDialog||!$.blockUI)||b.hasClass($.datepicker.markerClassName)&&$.datepicker._curInst!=c)&&$.datepicker._hideDatepicker()}},_adjustDate:function(a,b,c){var d=$(a),e=this._getInst(d[0]);this._isDisabledDatepicker(d[0])||(this._adjustInstDate(e,b+(c=="M"?this._get(e,"showCurrentAtPos"):0),c),this._updateDatepicker(e))},_gotoToday:function(a){var b=$(a),c=this._getInst(b[0]);if(this._get(c,"gotoCurrent")&&c.currentDay)c.selectedDay=c.currentDay,c.drawMonth=c.selectedMonth=c.currentMonth,c.drawYear=c.selectedYear=c.currentYear;else{var d=new Date;c.selectedDay=d.getDate(),c.drawMonth=c.selectedMonth=d.getMonth(),c.drawYear=c.selectedYear=d.getFullYear()}this._notifyChange(c),this._adjustDate(b)},_selectMonthYear:function(a,b,c){var d=$(a),e=this._getInst(d[0]);e["selected"+(c=="M"?"Month":"Year")]=e["draw"+(c=="M"?"Month":"Year")]=parseInt(b.options[b.selectedIndex].value,10),this._notifyChange(e),this._adjustDate(d)},_selectDay:function(a,b,c,d){var e=$(a);if(!$(d).hasClass(this._unselectableClass)&&!this._isDisabledDatepicker(e[0])){var f=this._getInst(e[0]);f.selectedDay=f.currentDay=$("a",d).html(),f.selectedMonth=f.currentMonth=b,f.selectedYear=f.currentYear=c,this._selectDate(a,this._formatDate(f,f.currentDay,f.currentMonth,f.currentYear))}},_clearDate:function(a){var b=$(a),c=this._getInst(b[0]);this._selectDate(b,"")},_selectDate:function(a,b){var c=$(a),d=this._getInst(c[0]);b=b!=null?b:this._formatDate(d),d.input&&d.input.val(b),this._updateAlternate(d);var e=this._get(d,"onSelect");e?e.apply(d.input?d.input[0]:null,[b,d]):d.input&&d.input.trigger("change"),d.inline?this._updateDatepicker(d):(this._hideDatepicker(),this._lastInput=d.input[0],typeof d.input[0]!="object"&&d.input.focus(),this._lastInput=null)},_updateAlternate:function(a){var b=this._get(a,"altField");if(b){var c=this._get(a,"altFormat")||this._get(a,"dateFormat"),d=this._getDate(a),e=this.formatDate(c,d,this._getFormatConfig(a));$(b).each(function(){$(this).val(e)})}},noWeekends:function(a){var b=a.getDay();return[b>0&&b<6,""]},iso8601Week:function(a){var b=new Date(a.getTime());b.setDate(b.getDate()+4-(b.getDay()||7));var c=b.getTime();b.setMonth(0),b.setDate(1);return Math.floor(Math.round((c-b)/864e5)/7)+1},parseDate:function(a,b,c){if(a==null||b==null)throw"Invalid arguments";b=typeof b=="object"?b.toString():b+"";if(b=="")return null;var d=(c?c.shortYearCutoff:null)||this._defaults.shortYearCutoff;d=typeof d!="string"?d:(new Date).getFullYear()%100+parseInt(d,10);var e=(c?c.dayNamesShort:null)||this._defaults.dayNamesShort,f=(c?c.dayNames:null)||this._defaults.dayNames,g=(c?c.monthNamesShort:null)||this._defaults.monthNamesShort,h=(c?c.monthNames:null)||this._defaults.monthNames,i=-1,j=-1,k=-1,l=-1,m=!1,n=function(b){var c=s+1<a.length&&a.charAt(s+1)==b;c&&s++;return c},o=function(a){var c=n(a),d=a=="@"?14:a=="!"?20:a=="y"&&c?4:a=="o"?3:2,e=new RegExp("^\\d{1,"+d+"}"),f=b.substring(r).match(e);if(!f)throw"Missing number at position "+r;r+=f[0].length;return parseInt(f[0],10)},p=function(a,c,d){var e=$.map(n(a)?d:c,function(a,b){return[[b,a]]}).sort(function(a,b){return-(a[1].length-b[1].length)}),f=-1;$.each(e,function(a,c){var d=c[1];if(b.substr(r,d.length).toLowerCase()==d.toLowerCase()){f=c[0],r+=d.length;return!1}});if(f!=-1)return f+1;throw"Unknown name at position "+r},q=function(){if(b.charAt(r)!=a.charAt(s))throw"Unexpected literal at position "+r;r++},r=0;for(var s=0;s<a.length;s++)if(m)a.charAt(s)=="'"&&!n("'")?m=!1:q();else switch(a.charAt(s)){case"d":k=o("d");break;case"D":p("D",e,f);break;case"o":l=o("o");break;case"m":j=o("m");break;case"M":j=p("M",g,h);break;case"y":i=o("y");break;case"@":var t=new Date(o("@"));i=t.getFullYear(),j=t.getMonth()+1,k=t.getDate();break;case"!":var t=new Date((o("!")-this._ticksTo1970)/1e4);i=t.getFullYear(),j=t.getMonth()+1,k=t.getDate();break;case"'":n("'")?q():m=!0;break;default:q()}if(r<b.length)throw"Extra/unparsed characters found in date: "+b.substring(r);i==-1?i=(new Date).getFullYear():i<100&&(i+=(new Date).getFullYear()-(new Date).getFullYear()%100+(i<=d?0:-100));if(l>-1){j=1,k=l;for(;;){var u=this._getDaysInMonth(i,j-1);if(k<=u)break;j++,k-=u}}var t=this._daylightSavingAdjust(new Date(i,j-1,k));if(t.getFullYear()!=i||t.getMonth()+1!=j||t.getDate()!=k)throw"Invalid date";return t},ATOM:"yy-mm-dd",COOKIE:"D, dd M yy",ISO_8601:"yy-mm-dd",RFC_822:"D, d M y",RFC_850:"DD, dd-M-y",RFC_1036:"D, d M y",RFC_1123:"D, d M yy",RFC_2822:"D, d M yy",RSS:"D, d M y",TICKS:"!",TIMESTAMP:"@",W3C:"yy-mm-dd",_ticksTo1970:(718685+Math.floor(492.5)-Math.floor(19.7)+Math.floor(4.925))*24*60*60*1e7,formatDate:function(a,b,c){if(!b)return"";var d=(c?c.dayNamesShort:null)||this._defaults.dayNamesShort,e=(c?c.dayNames:null)||this._defaults.dayNames,f=(c?c.monthNamesShort:null)||this._defaults.monthNamesShort,g=(c?c.monthNames:null)||this._defaults.monthNames,h=function(b){var c=m+1<a.length&&a.charAt(m+1)==b;c&&m++;return c},i=function(a,b,c){var d=""+b;if(h(a))while(d.length<c)d="0"+d;return d},j=function(a,b,c,d){return h(a)?d[b]:c[b]},k="",l=!1;if(b)for(var m=0;m<a.length;m++)if(l)a.charAt(m)=="'"&&!h("'")?l=!1:k+=a.charAt(m);else switch(a.charAt(m)){case"d":k+=i("d",b.getDate(),2);break;case"D":k+=j("D",b.getDay(),d,e);break;case"o":k+=i("o",Math.round(((new Date(b.getFullYear(),b.getMonth(),b.getDate())).getTime()-(new Date(b.getFullYear(),0,0)).getTime())/864e5),3);break;case"m":k+=i("m",b.getMonth()+1,2);break;case"M":k+=j("M",b.getMonth(),f,g);break;case"y":k+=h("y")?b.getFullYear():(b.getYear()%100<10?"0":"")+b.getYear()%100;break;case"@":k+=b.getTime();break;case"!":k+=b.getTime()*1e4+this._ticksTo1970;break;case"'":h("'")?k+="'":l=!0;break;default:k+=a.charAt(m)}return k},_possibleChars:function(a){var b="",c=!1,d=function(b){var c=e+1<a.length&&a.charAt(e+1)==b;c&&e++;return c};for(var e=0;e<a.length;e++)if(c)a.charAt(e)=="'"&&!d("'")?c=!1:b+=a.charAt(e);else switch(a.charAt(e)){case"d":case"m":case"y":case"@":b+="0123456789";break;case"D":case"M":return null;case"'":d("'")?b+="'":c=!0;break;default:b+=a.charAt(e)}return b},_get:function(a,b){return a.settings[b]!==undefined?a.settings[b]:this._defaults[b]},_setDateFromField:function(a,b){if(a.input.val()!=a.lastVal){var c=this._get(a,"dateFormat"),d=a.lastVal=a.input?a.input.val():null,e,f;e=f=this._getDefaultDate(a);var g=this._getFormatConfig(a);try{e=this.parseDate(c,d,g)||f}catch(h){this.log(h),d=b?"":d}a.selectedDay=e.getDate(),a.drawMonth=a.selectedMonth=e.getMonth(),a.drawYear=a.selectedYear=e.getFullYear(),a.currentDay=d?e.getDate():0,a.currentMonth=d?e.getMonth():0,a.currentYear=d?e.getFullYear():0,this._adjustInstDate(a)}},_getDefaultDate:function(a){return this._restrictMinMax(a,this._determineDate(a,this._get(a,"defaultDate"),new Date))},_determineDate:function(a,b,c){var d=function(a){var b=new Date;b.setDate(b.getDate()+a);return b},e=function(b){try{return $.datepicker.parseDate($.datepicker._get(a,"dateFormat"),b,$.datepicker._getFormatConfig(a))}catch(c){}var d=(b.toLowerCase().match(/^c/)?$.datepicker._getDate(a):null)||new Date,e=d.getFullYear(),f=d.getMonth(),g=d.getDate(),h=/([+-]?[0-9]+)\s*(d|D|w|W|m|M|y|Y)?/g,i=h.exec(b);while(i){switch(i[2]||"d"){case"d":case"D":g+=parseInt(i[1],10);break;case"w":case"W":g+=parseInt(i[1],10)*7;break;case"m":case"M":f+=parseInt(i[1],10),g=Math.min(g,$.datepicker._getDaysInMonth(e,f));break;case"y":case"Y":e+=parseInt(i[1],10),g=Math.min(g,$.datepicker._getDaysInMonth(e,f))}i=h.exec(b)}return new Date(e,f,g)},f=b==null||b===""?c:typeof b=="string"?e(b):typeof b=="number"?isNaN(b)?c:d(b):new Date(b.getTime());f=f&&f.toString()=="Invalid Date"?c:f,f&&(f.setHours(0),f.setMinutes(0),f.setSeconds(0),f.setMilliseconds(0));return this._daylightSavingAdjust(f)},_daylightSavingAdjust:function(a){if(!a)return null;a.setHours(a.getHours()>12?a.getHours()+2:0);return a},_setDate:function(a,b,c){var d=!b,e=a.selectedMonth,f=a.selectedYear,g=this._restrictMinMax(a,this._determineDate(a,b,new Date));a.selectedDay=a.currentDay=g.getDate(),a.drawMonth=a.selectedMonth=a.currentMonth=g.getMonth(),a.drawYear=a.selectedYear=a.currentYear=g.getFullYear(),(e!=a.selectedMonth||f!=a.selectedYear)&&!c&&this._notifyChange(a),this._adjustInstDate(a),a.input&&a.input.val(d?"":this._formatDate(a))},_getDate:function(a){var b=!a.currentYear||a.input&&a.input.val()==""?null:this._daylightSavingAdjust(new Date(a.currentYear,a.currentMonth,a.currentDay));return b},_generateHTML:function(a){var b=new Date;b=this._daylightSavingAdjust(new Date(b.getFullYear(),b.getMonth(),b.getDate()));var c=this._get(a,"isRTL"),d=this._get(a,"showButtonPanel"),e=this._get(a,"hideIfNoPrevNext"),f=this._get(a,"navigationAsDateFormat"),g=this._getNumberOfMonths(a),h=this._get(a,"showCurrentAtPos"),i=this._get(a,"stepMonths"),j=g[0]!=1||g[1]!=1,k=this._daylightSavingAdjust(a.currentDay?new Date(a.currentYear,a.currentMonth,a.currentDay):new Date(9999,9,9)),l=this._getMinMaxDate(a,"min"),m=this._getMinMaxDate(a,"max"),n=a.drawMonth-h,o=a.drawYear;n<0&&(n+=12,o--);if(m){var p=this._daylightSavingAdjust(new Date(m.getFullYear(),m.getMonth()-g[0]*g[1]+1,m.getDate()));p=l&&p<l?l:p;while(this._daylightSavingAdjust(new Date(o,n,1))>p)n--,n<0&&(n=11,o--)}a.drawMonth=n,a.drawYear=o;var q=this._get(a,"prevText");q=f?this.formatDate(q,this._daylightSavingAdjust(new Date(o,n-i,1)),this._getFormatConfig(a)):q;var r=this._canAdjustMonth(a,-1,o,n)?'<a class="ui-datepicker-prev ui-corner-all" onclick="DP_jQuery_'+dpuuid+".datepicker._adjustDate('#"+a.id+"', -"+i+", 'M');\""+' title="'+q+'"><span class="ui-icon ui-icon-circle-triangle-'+(c?"e":"w")+'">'+q+"</span></a>":e?"":'<a class="ui-datepicker-prev ui-corner-all ui-state-disabled" title="'+q+'"><span class="ui-icon ui-icon-circle-triangle-'+(c?"e":"w")+'">'+q+"</span></a>",s=this._get(a,"nextText");s=f?this.formatDate(s,this._daylightSavingAdjust(new Date(o,n+i,1)),this._getFormatConfig(a)):s;var t=this._canAdjustMonth(a,1,o,n)?'<a class="ui-datepicker-next ui-corner-all" onclick="DP_jQuery_'+dpuuid+".datepicker._adjustDate('#"+a.id+"', +"+i+", 'M');\""+' title="'+s+'"><span class="ui-icon ui-icon-circle-triangle-'+(c?"w":"e")+'">'+s+"</span></a>":e?"":'<a class="ui-datepicker-next ui-corner-all ui-state-disabled" title="'+s+'"><span class="ui-icon ui-icon-circle-triangle-'+(c?"w":"e")+'">'+s+"</span></a>",u=this._get(a,"currentText"),v=this._get(a,"gotoCurrent")&&a.currentDay?k:b;u=f?this.formatDate(u,v,this._getFormatConfig(a)):u;var w=a.inline?"":'<button type="button" class="ui-datepicker-close ui-state-default ui-priority-primary ui-corner-all" onclick="DP_jQuery_'+dpuuid+'.datepicker._hideDatepicker();">'+this._get(a,"closeText")+"</button>",x=d?'<div class="ui-datepicker-buttonpane ui-widget-content">'+(c?w:"")+(this._isInRange(a,v)?'<button type="button" class="ui-datepicker-current ui-state-default ui-priority-secondary ui-corner-all" onclick="DP_jQuery_'+dpuuid+".datepicker._gotoToday('#"+a.id+"');\""+">"+u+"</button>":"")+(c?"":w)+"</div>":"",y=parseInt(this._get(a,"firstDay"),10);y=isNaN(y)?0:y;var z=this._get(a,"showWeek"),A=this._get(a,"dayNames"),B=this._get(a,"dayNamesShort"),C=this._get(a,"dayNamesMin"),D=this._get(a,"monthNames"),E=this._get(a,"monthNamesShort"),F=this._get(a,"beforeShowDay"),G=this._get(a,"showOtherMonths"),H=this._get(a,"selectOtherMonths"),I=this._get(a,"calculateWeek")||this.iso8601Week,J=this._getDefaultDate(a),K="";for(var L=0;L<g[0];L++){var M="";this.maxRows=4;for(var N=0;N<g[1];N++){var O=this._daylightSavingAdjust(new Date(o,n,a.selectedDay)),P=" ui-corner-all",Q="";if(j){Q+='<div class="ui-datepicker-group';if(g[1]>1)switch(N){case 0:Q+=" ui-datepicker-group-first",P=" ui-corner-"+(c?"right":"left");break;case g[1]-1:Q+=" ui-datepicker-group-last",P=" ui-corner-"+(c?"left":"right");break;default:Q+=" ui-datepicker-group-middle",P=""}Q+='">'}Q+='<div class="ui-datepicker-header ui-widget-header ui-helper-clearfix'+P+'">'+(/all|left/.test(P)&&L==0?c?t:r:"")+(/all|right/.test(P)&&L==0?c?r:t:"")+this._generateMonthYearHeader(a,n,o,l,m,L>0||N>0,D,E)+'</div><table class="ui-datepicker-calendar"><thead>'+"<tr>";var R=z?'<th class="ui-datepicker-week-col">'+this._get(a,"weekHeader")+"</th>":"";for(var S=0;S<7;S++){var T=(S+y)%7;R+="<th"+((S+y+6)%7>=5?' class="ui-datepicker-week-end"':"")+">"+'<span title="'+A[T]+'">'+C[T]+"</span></th>"}Q+=R+"</tr></thead><tbody>";var U=this._getDaysInMonth(o,n);o==a.selectedYear&&n==a.selectedMonth&&(a.selectedDay=Math.min(a.selectedDay,U));var V=(this._getFirstDayOfMonth(o,n)-y+7)%7,W=Math.ceil((V+U)/7),X=j?this.maxRows>W?this.maxRows:W:W;this.maxRows=X;var Y=this._daylightSavingAdjust(new Date(o,n,1-V));for(var Z=0;Z<X;Z++){Q+="<tr>";var _=z?'<td class="ui-datepicker-week-col">'+this._get(a,"calculateWeek")(Y)+"</td>":"";for(var S=0;S<7;S++){var ba=F?F.apply(a.input?a.input[0]:null,[Y]):[!0,""],bb=Y.getMonth()!=n,bc=bb&&!H||!ba[0]||l&&Y<l||m&&Y>m;_+='<td class="'+((S+y+6)%7>=5?" ui-datepicker-week-end":"")+(bb?" ui-datepicker-other-month":"")+(Y.getTime()==O.getTime()&&n==a.selectedMonth&&a._keyEvent||J.getTime()==Y.getTime()&&J.getTime()==O.getTime()?" "+this._dayOverClass:"")+(bc?" "+this._unselectableClass+" ui-state-disabled":"")+(bb&&!G?"":" "+ba[1]+(Y.getTime()==k.getTime()?" "+this._currentClass:"")+(Y.getTime()==b.getTime()?" ui-datepicker-today":""))+'"'+((!bb||G)&&ba[2]?' title="'+ba[2]+'"':"")+(bc?"":' onclick="DP_jQuery_'+dpuuid+".datepicker._selectDay('#"+a.id+"',"+Y.getMonth()+","+Y.getFullYear()+', this);return false;"')+">"+(bb&&!G?"&#xa0;":bc?'<span class="ui-state-default">'+Y.getDate()+"</span>":'<a class="ui-state-default'+(Y.getTime()==b.getTime()?" ui-state-highlight":"")+(Y.getTime()==k.getTime()?" ui-state-active":"")+(bb?" ui-priority-secondary":"")+'" href="#">'+Y.getDate()+"</a>")+"</td>",Y.setDate(Y.getDate()+1),Y=this._daylightSavingAdjust(Y)}Q+=_+"</tr>"}n++,n>11&&(n=0,o++),Q+="</tbody></table>"+(j?"</div>"+(g[0]>0&&N==g[1]-1?'<div class="ui-datepicker-row-break"></div>':""):""),M+=Q}K+=M}K+=x+($.browser.msie&&parseInt($.browser.version,10)<7&&!a.inline?'<iframe src="javascript:false;" class="ui-datepicker-cover" frameborder="0"></iframe>':""),a._keyEvent=!1;return K},_generateMonthYearHeader:function(a,b,c,d,e,f,g,h){var i=this._get(a,"changeMonth"),j=this._get(a,"changeYear"),k=this
._get(a,"showMonthAfterYear"),l='<div class="ui-datepicker-title">',m="";if(f||!i)m+='<span class="ui-datepicker-month">'+g[b]+"</span>";else{var n=d&&d.getFullYear()==c,o=e&&e.getFullYear()==c;m+='<select class="ui-datepicker-month" onchange="DP_jQuery_'+dpuuid+".datepicker._selectMonthYear('#"+a.id+"', this, 'M');\" "+">";for(var p=0;p<12;p++)(!n||p>=d.getMonth())&&(!o||p<=e.getMonth())&&(m+='<option value="'+p+'"'+(p==b?' selected="selected"':"")+">"+h[p]+"</option>");m+="</select>"}k||(l+=m+(f||!i||!j?"&#xa0;":""));if(!a.yearshtml){a.yearshtml="";if(f||!j)l+='<span class="ui-datepicker-year">'+c+"</span>";else{var q=this._get(a,"yearRange").split(":"),r=(new Date).getFullYear(),s=function(a){var b=a.match(/c[+-].*/)?c+parseInt(a.substring(1),10):a.match(/[+-].*/)?r+parseInt(a,10):parseInt(a,10);return isNaN(b)?r:b},t=s(q[0]),u=Math.max(t,s(q[1]||""));t=d?Math.max(t,d.getFullYear()):t,u=e?Math.min(u,e.getFullYear()):u,a.yearshtml+='<select class="ui-datepicker-year" onchange="DP_jQuery_'+dpuuid+".datepicker._selectMonthYear('#"+a.id+"', this, 'Y');\" "+">";for(;t<=u;t++)a.yearshtml+='<option value="'+t+'"'+(t==c?' selected="selected"':"")+">"+t+"</option>";a.yearshtml+="</select>",l+=a.yearshtml,a.yearshtml=null}}l+=this._get(a,"yearSuffix"),k&&(l+=(f||!i||!j?"&#xa0;":"")+m),l+="</div>";return l},_adjustInstDate:function(a,b,c){var d=a.drawYear+(c=="Y"?b:0),e=a.drawMonth+(c=="M"?b:0),f=Math.min(a.selectedDay,this._getDaysInMonth(d,e))+(c=="D"?b:0),g=this._restrictMinMax(a,this._daylightSavingAdjust(new Date(d,e,f)));a.selectedDay=g.getDate(),a.drawMonth=a.selectedMonth=g.getMonth(),a.drawYear=a.selectedYear=g.getFullYear(),(c=="M"||c=="Y")&&this._notifyChange(a)},_restrictMinMax:function(a,b){var c=this._getMinMaxDate(a,"min"),d=this._getMinMaxDate(a,"max"),e=c&&b<c?c:b;e=d&&e>d?d:e;return e},_notifyChange:function(a){var b=this._get(a,"onChangeMonthYear");b&&b.apply(a.input?a.input[0]:null,[a.selectedYear,a.selectedMonth+1,a])},_getNumberOfMonths:function(a){var b=this._get(a,"numberOfMonths");return b==null?[1,1]:typeof b=="number"?[1,b]:b},_getMinMaxDate:function(a,b){return this._determineDate(a,this._get(a,b+"Date"),null)},_getDaysInMonth:function(a,b){return 32-this._daylightSavingAdjust(new Date(a,b,32)).getDate()},_getFirstDayOfMonth:function(a,b){return(new Date(a,b,1)).getDay()},_canAdjustMonth:function(a,b,c,d){var e=this._getNumberOfMonths(a),f=this._daylightSavingAdjust(new Date(c,d+(b<0?b:e[0]*e[1]),1));b<0&&f.setDate(this._getDaysInMonth(f.getFullYear(),f.getMonth()));return this._isInRange(a,f)},_isInRange:function(a,b){var c=this._getMinMaxDate(a,"min"),d=this._getMinMaxDate(a,"max");return(!c||b.getTime()>=c.getTime())&&(!d||b.getTime()<=d.getTime())},_getFormatConfig:function(a){var b=this._get(a,"shortYearCutoff");b=typeof b!="string"?b:(new Date).getFullYear()%100+parseInt(b,10);return{shortYearCutoff:b,dayNamesShort:this._get(a,"dayNamesShort"),dayNames:this._get(a,"dayNames"),monthNamesShort:this._get(a,"monthNamesShort"),monthNames:this._get(a,"monthNames")}},_formatDate:function(a,b,c,d){b||(a.currentDay=a.selectedDay,a.currentMonth=a.selectedMonth,a.currentYear=a.selectedYear);var e=b?typeof b=="object"?b:this._daylightSavingAdjust(new Date(d,c,b)):this._daylightSavingAdjust(new Date(a.currentYear,a.currentMonth,a.currentDay));return this.formatDate(this._get(a,"dateFormat"),e,this._getFormatConfig(a))}}),$.fn.datepicker=function(a){if(!this.length)return this;$.datepicker.initialized||($(document).mousedown($.datepicker._checkExternalClick).find("body").append($.datepicker.dpDiv),$.datepicker.initialized=!0);var b=Array.prototype.slice.call(arguments,1);if(typeof a=="string"&&(a=="isDisabled"||a=="getDate"||a=="widget"))return $.datepicker["_"+a+"Datepicker"].apply($.datepicker,[this[0]].concat(b));if(a=="option"&&arguments.length==2&&typeof arguments[1]=="string")return $.datepicker["_"+a+"Datepicker"].apply($.datepicker,[this[0]].concat(b));return this.each(function(){typeof a=="string"?$.datepicker["_"+a+"Datepicker"].apply($.datepicker,[this].concat(b)):$.datepicker._attachDatepicker(this,a)})},$.datepicker=new Datepicker,$.datepicker.initialized=!1,$.datepicker.uuid=(new Date).getTime(),$.datepicker.version="1.8.17",window["DP_jQuery_"+dpuuid]=$})(jQuery);/*
 * jQuery UI Progressbar 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Progressbar
 *
 * Depends:
 *   jquery.ui.core.js
 *   jquery.ui.widget.js
 */(function(a,b){a.widget("ui.progressbar",{options:{value:0,max:100},min:0,_create:function(){this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min,"aria-valuemax":this.options.max,"aria-valuenow":this._value()}),this.valueDiv=a("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this.oldValue=this._value(),this._refreshValue()},destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove(),a.Widget.prototype.destroy.apply(this,arguments)},value:function(a){if(a===b)return this._value();this._setOption("value",a);return this},_setOption:function(b,c){b==="value"&&(this.options.value=c,this._refreshValue(),this._value()===this.options.max&&this._trigger("complete")),a.Widget.prototype._setOption.apply(this,arguments)},_value:function(){var a=this.options.value;typeof a!="number"&&(a=0);return Math.min(this.options.max,Math.max(this.min,a))},_percentage:function(){return 100*this._value()/this.options.max},_refreshValue:function(){var a=this.value(),b=this._percentage();this.oldValue!==a&&(this.oldValue=a,this._trigger("change")),this.valueDiv.toggle(a>this.min).toggleClass("ui-corner-right",a===this.options.max).width(b.toFixed(0)+"%"),this.element.attr("aria-valuenow",a)}}),a.extend(a.ui.progressbar,{version:"1.8.17"})})(jQuery);/*
 * jQuery UI Effects 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/
 */jQuery.effects||function(a,b){function l(b){if(!b||typeof b=="number"||a.fx.speeds[b])return!0;if(typeof b=="string"&&!a.effects[b])return!0;return!1}function k(b,c,d,e){typeof b=="object"&&(e=c,d=null,c=b,b=c.effect),a.isFunction(c)&&(e=c,d=null,c={});if(typeof c=="number"||a.fx.speeds[c])e=d,d=c,c={};a.isFunction(d)&&(e=d,d=null),c=c||{},d=d||c.duration,d=a.fx.off?0:typeof d=="number"?d:d in a.fx.speeds?a.fx.speeds[d]:a.fx.speeds._default,e=e||c.complete;return[b,c,d,e]}function j(a,b){var c={_:0},d;for(d in b)a[d]!=b[d]&&(c[d]=b[d]);return c}function i(b){var c,d;for(c in b)d=b[c],(d==null||a.isFunction(d)||c in g||/scrollbar/.test(c)||!/color/i.test(c)&&isNaN(parseFloat(d)))&&delete b[c];return b}function h(){var a=document.defaultView?document.defaultView.getComputedStyle(this,null):this.currentStyle,b={},c,d;if(a&&a.length&&a[0]&&a[a[0]]){var e=a.length;while(e--)c=a[e],typeof a[c]=="string"&&(d=c.replace(/\-(\w)/g,function(a,b){return b.toUpperCase()}),b[d]=a[c])}else for(c in a)typeof a[c]=="string"&&(b[c]=a[c]);return b}function d(b,d){var e;do{e=a.curCSS(b,d);if(e!=""&&e!="transparent"||a.nodeName(b,"body"))break;d="backgroundColor"}while(b=b.parentNode);return c(e)}function c(b){var c;if(b&&b.constructor==Array&&b.length==3)return b;if(c=/rgb\(\s*([0-9]{1,3})\s*,\s*([0-9]{1,3})\s*,\s*([0-9]{1,3})\s*\)/.exec(b))return[parseInt(c[1],10),parseInt(c[2],10),parseInt(c[3],10)];if(c=/rgb\(\s*([0-9]+(?:\.[0-9]+)?)\%\s*,\s*([0-9]+(?:\.[0-9]+)?)\%\s*,\s*([0-9]+(?:\.[0-9]+)?)\%\s*\)/.exec(b))return[parseFloat(c[1])*2.55,parseFloat(c[2])*2.55,parseFloat(c[3])*2.55];if(c=/#([a-fA-F0-9]{2})([a-fA-F0-9]{2})([a-fA-F0-9]{2})/.exec(b))return[parseInt(c[1],16),parseInt(c[2],16),parseInt(c[3],16)];if(c=/#([a-fA-F0-9])([a-fA-F0-9])([a-fA-F0-9])/.exec(b))return[parseInt(c[1]+c[1],16),parseInt(c[2]+c[2],16),parseInt(c[3]+c[3],16)];if(c=/rgba\(0, 0, 0, 0\)/.exec(b))return e.transparent;return e[a.trim(b).toLowerCase()]}a.effects={},a.each(["backgroundColor","borderBottomColor","borderLeftColor","borderRightColor","borderTopColor","borderColor","color","outlineColor"],function(b,e){a.fx.step[e]=function(a){a.colorInit||(a.start=d(a.elem,e),a.end=c(a.end),a.colorInit=!0),a.elem.style[e]="rgb("+Math.max(Math.min(parseInt(a.pos*(a.end[0]-a.start[0])+a.start[0],10),255),0)+","+Math.max(Math.min(parseInt(a.pos*(a.end[1]-a.start[1])+a.start[1],10),255),0)+","+Math.max(Math.min(parseInt(a.pos*(a.end[2]-a.start[2])+a.start[2],10),255),0)+")"}});var e={aqua:[0,255,255],azure:[240,255,255],beige:[245,245,220],black:[0,0,0],blue:[0,0,255],brown:[165,42,42],cyan:[0,255,255],darkblue:[0,0,139],darkcyan:[0,139,139],darkgrey:[169,169,169],darkgreen:[0,100,0],darkkhaki:[189,183,107],darkmagenta:[139,0,139],darkolivegreen:[85,107,47],darkorange:[255,140,0],darkorchid:[153,50,204],darkred:[139,0,0],darksalmon:[233,150,122],darkviolet:[148,0,211],fuchsia:[255,0,255],gold:[255,215,0],green:[0,128,0],indigo:[75,0,130],khaki:[240,230,140],lightblue:[173,216,230],lightcyan:[224,255,255],lightgreen:[144,238,144],lightgrey:[211,211,211],lightpink:[255,182,193],lightyellow:[255,255,224],lime:[0,255,0],magenta:[255,0,255],maroon:[128,0,0],navy:[0,0,128],olive:[128,128,0],orange:[255,165,0],pink:[255,192,203],purple:[128,0,128],violet:[128,0,128],red:[255,0,0],silver:[192,192,192],white:[255,255,255],yellow:[255,255,0],transparent:[255,255,255]},f=["add","remove","toggle"],g={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1};a.effects.animateClass=function(b,c,d,e){a.isFunction(d)&&(e=d,d=null);return this.queue(function(){var g=a(this),k=g.attr("style")||" ",l=i(h.call(this)),m,n=g.attr("class");a.each(f,function(a,c){b[c]&&g[c+"Class"](b[c])}),m=i(h.call(this)),g.attr("class",n),g.animate(j(l,m),{queue:!1,duration:c,easing:d,complete:function(){a.each(f,function(a,c){b[c]&&g[c+"Class"](b[c])}),typeof g.attr("style")=="object"?(g.attr("style").cssText="",g.attr("style").cssText=k):g.attr("style",k),e&&e.apply(this,arguments),a.dequeue(this)}})})},a.fn.extend({_addClass:a.fn.addClass,addClass:function(b,c,d,e){return c?a.effects.animateClass.apply(this,[{add:b},c,d,e]):this._addClass(b)},_removeClass:a.fn.removeClass,removeClass:function(b,c,d,e){return c?a.effects.animateClass.apply(this,[{remove:b},c,d,e]):this._removeClass(b)},_toggleClass:a.fn.toggleClass,toggleClass:function(c,d,e,f,g){return typeof d=="boolean"||d===b?e?a.effects.animateClass.apply(this,[d?{add:c}:{remove:c},e,f,g]):this._toggleClass(c,d):a.effects.animateClass.apply(this,[{toggle:c},d,e,f])},switchClass:function(b,c,d,e,f){return a.effects.animateClass.apply(this,[{add:c,remove:b},d,e,f])}}),a.extend(a.effects,{version:"1.8.17",save:function(a,b){for(var c=0;c<b.length;c++)b[c]!==null&&a.data("ec.storage."+b[c],a[0].style[b[c]])},restore:function(a,b){for(var c=0;c<b.length;c++)b[c]!==null&&a.css(b[c],a.data("ec.storage."+b[c]))},setMode:function(a,b){b=="toggle"&&(b=a.is(":hidden")?"show":"hide");return b},getBaseline:function(a,b){var c,d;switch(a[0]){case"top":c=0;break;case"middle":c=.5;break;case"bottom":c=1;break;default:c=a[0]/b.height}switch(a[1]){case"left":d=0;break;case"center":d=.5;break;case"right":d=1;break;default:d=a[1]/b.width}return{x:d,y:c}},createWrapper:function(b){if(b.parent().is(".ui-effects-wrapper"))return b.parent();var c={width:b.outerWidth(!0),height:b.outerHeight(!0),"float":b.css("float")},d=a("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),e=document.activeElement;b.wrap(d),(b[0]===e||a.contains(b[0],e))&&a(e).focus(),d=b.parent(),b.css("position")=="static"?(d.css({position:"relative"}),b.css({position:"relative"})):(a.extend(c,{position:b.css("position"),zIndex:b.css("z-index")}),a.each(["top","left","bottom","right"],function(a,d){c[d]=b.css(d),isNaN(parseInt(c[d],10))&&(c[d]="auto")}),b.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"}));return d.css(c).show()},removeWrapper:function(b){var c,d=document.activeElement;if(b.parent().is(".ui-effects-wrapper")){c=b.parent().replaceWith(b),(b[0]===d||a.contains(b[0],d))&&a(d).focus();return c}return b},setTransition:function(b,c,d,e){e=e||{},a.each(c,function(a,c){unit=b.cssUnit(c),unit[0]>0&&(e[c]=unit[0]*d+unit[1])});return e}}),a.fn.extend({effect:function(b,c,d,e){var f=k.apply(this,arguments),g={options:f[1],duration:f[2],callback:f[3]},h=g.options.mode,i=a.effects[b];if(a.fx.off||!i)return h?this[h](g.duration,g.callback):this.each(function(){g.callback&&g.callback.call(this)});return i.call(this,g)},_show:a.fn.show,show:function(a){if(l(a))return this._show.apply(this,arguments);var b=k.apply(this,arguments);b[1].mode="show";return this.effect.apply(this,b)},_hide:a.fn.hide,hide:function(a){if(l(a))return this._hide.apply(this,arguments);var b=k.apply(this,arguments);b[1].mode="hide";return this.effect.apply(this,b)},__toggle:a.fn.toggle,toggle:function(b){if(l(b)||typeof b=="boolean"||a.isFunction(b))return this.__toggle.apply(this,arguments);var c=k.apply(this,arguments);c[1].mode="toggle";return this.effect.apply(this,c)},cssUnit:function(b){var c=this.css(b),d=[];a.each(["em","px","%","pt"],function(a,b){c.indexOf(b)>0&&(d=[parseFloat(c),b])});return d}}),a.easing.jswing=a.easing.swing,a.extend(a.easing,{def:"easeOutQuad",swing:function(b,c,d,e,f){return a.easing[a.easing.def](b,c,d,e,f)},easeInQuad:function(a,b,c,d,e){return d*(b/=e)*b+c},easeOutQuad:function(a,b,c,d,e){return-d*(b/=e)*(b-2)+c},easeInOutQuad:function(a,b,c,d,e){if((b/=e/2)<1)return d/2*b*b+c;return-d/2*(--b*(b-2)-1)+c},easeInCubic:function(a,b,c,d,e){return d*(b/=e)*b*b+c},easeOutCubic:function(a,b,c,d,e){return d*((b=b/e-1)*b*b+1)+c},easeInOutCubic:function(a,b,c,d,e){if((b/=e/2)<1)return d/2*b*b*b+c;return d/2*((b-=2)*b*b+2)+c},easeInQuart:function(a,b,c,d,e){return d*(b/=e)*b*b*b+c},easeOutQuart:function(a,b,c,d,e){return-d*((b=b/e-1)*b*b*b-1)+c},easeInOutQuart:function(a,b,c,d,e){if((b/=e/2)<1)return d/2*b*b*b*b+c;return-d/2*((b-=2)*b*b*b-2)+c},easeInQuint:function(a,b,c,d,e){return d*(b/=e)*b*b*b*b+c},easeOutQuint:function(a,b,c,d,e){return d*((b=b/e-1)*b*b*b*b+1)+c},easeInOutQuint:function(a,b,c,d,e){if((b/=e/2)<1)return d/2*b*b*b*b*b+c;return d/2*((b-=2)*b*b*b*b+2)+c},easeInSine:function(a,b,c,d,e){return-d*Math.cos(b/e*(Math.PI/2))+d+c},easeOutSine:function(a,b,c,d,e){return d*Math.sin(b/e*(Math.PI/2))+c},easeInOutSine:function(a,b,c,d,e){return-d/2*(Math.cos(Math.PI*b/e)-1)+c},easeInExpo:function(a,b,c,d,e){return b==0?c:d*Math.pow(2,10*(b/e-1))+c},easeOutExpo:function(a,b,c,d,e){return b==e?c+d:d*(-Math.pow(2,-10*b/e)+1)+c},easeInOutExpo:function(a,b,c,d,e){if(b==0)return c;if(b==e)return c+d;if((b/=e/2)<1)return d/2*Math.pow(2,10*(b-1))+c;return d/2*(-Math.pow(2,-10*--b)+2)+c},easeInCirc:function(a,b,c,d,e){return-d*(Math.sqrt(1-(b/=e)*b)-1)+c},easeOutCirc:function(a,b,c,d,e){return d*Math.sqrt(1-(b=b/e-1)*b)+c},easeInOutCirc:function(a,b,c,d,e){if((b/=e/2)<1)return-d/2*(Math.sqrt(1-b*b)-1)+c;return d/2*(Math.sqrt(1-(b-=2)*b)+1)+c},easeInElastic:function(a,b,c,d,e){var f=1.70158,g=0,h=d;if(b==0)return c;if((b/=e)==1)return c+d;g||(g=e*.3);if(h<Math.abs(d)){h=d;var f=g/4}else var f=g/(2*Math.PI)*Math.asin(d/h);return-(h*Math.pow(2,10*(b-=1))*Math.sin((b*e-f)*2*Math.PI/g))+c},easeOutElastic:function(a,b,c,d,e){var f=1.70158,g=0,h=d;if(b==0)return c;if((b/=e)==1)return c+d;g||(g=e*.3);if(h<Math.abs(d)){h=d;var f=g/4}else var f=g/(2*Math.PI)*Math.asin(d/h);return h*Math.pow(2,-10*b)*Math.sin((b*e-f)*2*Math.PI/g)+d+c},easeInOutElastic:function(a,b,c,d,e){var f=1.70158,g=0,h=d;if(b==0)return c;if((b/=e/2)==2)return c+d;g||(g=e*.3*1.5);if(h<Math.abs(d)){h=d;var f=g/4}else var f=g/(2*Math.PI)*Math.asin(d/h);if(b<1)return-0.5*h*Math.pow(2,10*(b-=1))*Math.sin((b*e-f)*2*Math.PI/g)+c;return h*Math.pow(2,-10*(b-=1))*Math.sin((b*e-f)*2*Math.PI/g)*.5+d+c},easeInBack:function(a,c,d,e,f,g){g==b&&(g=1.70158);return e*(c/=f)*c*((g+1)*c-g)+d},easeOutBack:function(a,c,d,e,f,g){g==b&&(g=1.70158);return e*((c=c/f-1)*c*((g+1)*c+g)+1)+d},easeInOutBack:function(a,c,d,e,f,g){g==b&&(g=1.70158);if((c/=f/2)<1)return e/2*c*c*(((g*=1.525)+1)*c-g)+d;return e/2*((c-=2)*c*(((g*=1.525)+1)*c+g)+2)+d},easeInBounce:function(b,c,d,e,f){return e-a.easing.easeOutBounce(b,f-c,0,e,f)+d},easeOutBounce:function(a,b,c,d,e){return(b/=e)<1/2.75?d*7.5625*b*b+c:b<2/2.75?d*(7.5625*(b-=1.5/2.75)*b+.75)+c:b<2.5/2.75?d*(7.5625*(b-=2.25/2.75)*b+.9375)+c:d*(7.5625*(b-=2.625/2.75)*b+.984375)+c},easeInOutBounce:function(b,c,d,e,f){if(c<f/2)return a.easing.easeInBounce(b,c*2,0,e,f)*.5+d;return a.easing.easeOutBounce(b,c*2-f,0,e,f)*.5+e*.5+d}})}(jQuery);/*
 * jQuery UI Effects Blind 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Blind
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.blind=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right"],e=a.effects.setMode(c,b.options.mode||"hide"),f=b.options.direction||"vertical";a.effects.save(c,d),c.show();var g=a.effects.createWrapper(c).css({overflow:"hidden"}),h=f=="vertical"?"height":"width",i=f=="vertical"?g.height():g.width();e=="show"&&g.css(h,0);var j={};j[h]=e=="show"?i:0,g.animate(j,b.duration,b.options.easing,function(){e=="hide"&&c.hide(),a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(c[0],arguments),c.dequeue()})})}})(jQuery);/*
 * jQuery UI Effects Bounce 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Bounce
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.bounce=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right"],e=a.effects.setMode(c,b.options.mode||"effect"),f=b.options.direction||"up",g=b.options.distance||20,h=b.options.times||5,i=b.duration||250;/show|hide/.test(e)&&d.push("opacity"),a.effects.save(c,d),c.show(),a.effects.createWrapper(c);var j=f=="up"||f=="down"?"top":"left",k=f=="up"||f=="left"?"pos":"neg",g=b.options.distance||(j=="top"?c.outerHeight({margin:!0})/3:c.outerWidth({margin:!0})/3);e=="show"&&c.css("opacity",0).css(j,k=="pos"?-g:g),e=="hide"&&(g=g/(h*2)),e!="hide"&&h--;if(e=="show"){var l={opacity:1};l[j]=(k=="pos"?"+=":"-=")+g,c.animate(l,i/2,b.options.easing),g=g/2,h--}for(var m=0;m<h;m++){var n={},p={};n[j]=(k=="pos"?"-=":"+=")+g,p[j]=(k=="pos"?"+=":"-=")+g,c.animate(n,i/2,b.options.easing).animate(p,i/2,b.options.easing),g=e=="hide"?g*2:g/2}if(e=="hide"){var l={opacity:0};l[j]=(k=="pos"?"-=":"+=")+g,c.animate(l,i/2,b.options.easing,function(){c.hide(),a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(this,arguments)})}else{var n={},p={};n[j]=(k=="pos"?"-=":"+=")+g,p[j]=(k=="pos"?"+=":"-=")+g,c.animate(n,i/2,b.options.easing).animate(p,i/2,b.options.easing,function(){a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(this,arguments)})}c.queue("fx",function(){c.dequeue()}),c.dequeue()})}})(jQuery);/*
 * jQuery UI Effects Clip 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Clip
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.clip=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right","height","width"],e=a.effects.setMode(c,b.options.mode||"hide"),f=b.options.direction||"vertical";a.effects.save(c,d),c.show();var g=a.effects.createWrapper(c).css({overflow:"hidden"}),h=c[0].tagName=="IMG"?g:c,i={size:f=="vertical"?"height":"width",position:f=="vertical"?"top":"left"},j=f=="vertical"?h.height():h.width();e=="show"&&(h.css(i.size,0),h.css(i.position,j/2));var k={};k[i.size]=e=="show"?j:0,k[i.position]=e=="show"?0:j/2,h.animate(k,{queue:!1,duration:b.duration,easing:b.options.easing,complete:function(){e=="hide"&&c.hide(),a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(c[0],arguments),c.dequeue()}})})}})(jQuery);/*
 * jQuery UI Effects Drop 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Drop
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.drop=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right","opacity"],e=a.effects.setMode(c,b.options.mode||"hide"),f=b.options.direction||"left";a.effects.save(c,d),c.show(),a.effects.createWrapper(c);var g=f=="up"||f=="down"?"top":"left",h=f=="up"||f=="left"?"pos":"neg",i=b.options.distance||(g=="top"?c.outerHeight({margin:!0})/2:c.outerWidth({margin:!0})/2);e=="show"&&c.css("opacity",0).css(g,h=="pos"?-i:i);var j={opacity:e=="show"?1:0};j[g]=(e=="show"?h=="pos"?"+=":"-=":h=="pos"?"-=":"+=")+i,c.animate(j,{queue:!1,duration:b.duration,easing:b.options.easing,complete:function(){e=="hide"&&c.hide(),a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(this,arguments),c.dequeue()}})})}})(jQuery);/*
 * jQuery UI Effects Explode 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Explode
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.explode=function(b){return this.queue(function(){var c=b.options.pieces?Math.round(Math.sqrt(b.options.pieces)):3,d=b.options.pieces?Math.round(Math.sqrt(b.options.pieces)):3;b.options.mode=b.options.mode=="toggle"?a(this).is(":visible")?"hide":"show":b.options.mode;var e=a(this).show().css("visibility","hidden"),f=e.offset();f.top-=parseInt(e.css("marginTop"),10)||0,f.left-=parseInt(e.css("marginLeft"),10)||0;var g=e.outerWidth(!0),h=e.outerHeight(!0);for(var i=0;i<c;i++)for(var j=0;j<d;j++)e.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-j*(g/d),top:-i*(h/c)}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:g/d,height:h/c,left:f.left+j*(g/d)+(b.options.mode=="show"?(j-Math.floor(d/2))*(g/d):0),top:f.top+i*(h/c)+(b.options.mode=="show"?(i-Math.floor(c/2))*(h/c):0),opacity:b.options.mode=="show"?0:1}).animate({left:f.left+j*(g/d)+(b.options.mode=="show"?0:(j-Math.floor(d/2))*(g/d)),top:f.top+i*(h/c)+(b.options.mode=="show"?0:(i-Math.floor(c/2))*(h/c)),opacity:b.options.mode=="show"?1:0},b.duration||500);setTimeout(function(){b.options.mode=="show"?e.css({visibility:"visible"}):e.css({visibility:"visible"}).hide(),b.callback&&b.callback.apply(e[0]),e.dequeue(),a("div.ui-effects-explode").remove()},b.duration||500)})}})(jQuery);/*
 * jQuery UI Effects Fade 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Fade
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.fade=function(b){return this.queue(function(){var c=a(this),d=a.effects.setMode(c,b.options.mode||"hide");c.animate({opacity:d},{queue:!1,duration:b.duration,easing:b.options.easing,complete:function(){b.callback&&b.callback.apply(this,arguments),c.dequeue()}})})}})(jQuery);/*
 * jQuery UI Effects Fold 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Fold
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.fold=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right"],e=a.effects.setMode(c,b.options.mode||"hide"),f=b.options.size||15,g=!!b.options.horizFirst,h=b.duration?b.duration/2:a.fx.speeds._default/2;a.effects.save(c,d),c.show();var i=a.effects.createWrapper(c).css({overflow:"hidden"}),j=e=="show"!=g,k=j?["width","height"]:["height","width"],l=j?[i.width(),i.height()]:[i.height(),i.width()],m=/([0-9]+)%/.exec(f);m&&(f=parseInt(m[1],10)/100*l[e=="hide"?0:1]),e=="show"&&i.css(g?{height:0,width:f}:{height:f,width:0});var n={},p={};n[k[0]]=e=="show"?l[0]:f,p[k[1]]=e=="show"?l[1]:0,i.animate(n,h,b.options.easing).animate(p,h,b.options.easing,function(){e=="hide"&&c.hide(),a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(c[0],arguments),c.dequeue()})})}})(jQuery);/*
 * jQuery UI Effects Highlight 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Highlight
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.highlight=function(b){return this.queue(function(){var c=a(this),d=["backgroundImage","backgroundColor","opacity"],e=a.effects.setMode(c,b.options.mode||"show"),f={backgroundColor:c.css("backgroundColor")};e=="hide"&&(f.opacity=0),a.effects.save(c,d),c.show().css({backgroundImage:"none",backgroundColor:b.options.color||"#ffff99"}).animate(f,{queue:!1,duration:b.duration,easing:b.options.easing,complete:function(){e=="hide"&&c.hide(),a.effects.restore(c,d),e=="show"&&!a.support.opacity&&this.style.removeAttribute("filter"),b.callback&&b.callback.apply(this,arguments),c.dequeue()}})})}})(jQuery);/*
 * jQuery UI Effects Pulsate 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Pulsate
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.pulsate=function(b){return this.queue(function(){var c=a(this),d=a.effects.setMode(c,b.options.mode||"show");times=(b.options.times||5)*2-1,duration=b.duration?b.duration/2:a.fx.speeds._default/2,isVisible=c.is(":visible"),animateTo=0,isVisible||(c.css("opacity",0).show(),animateTo=1),(d=="hide"&&isVisible||d=="show"&&!isVisible)&&times--;for(var e=0;e<times;e++)c.animate({opacity:animateTo},duration,b.options.easing),animateTo=(animateTo+1)%2;c.animate({opacity:animateTo},duration,b.options.easing,function(){animateTo==0&&c.hide(),b.callback&&b.callback.apply(this,arguments)}),c.queue("fx",function(){c.dequeue()}).dequeue()})}})(jQuery);/*
 * jQuery UI Effects Scale 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Scale
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.puff=function(b){return this.queue(function(){var c=a(this),d=a.effects.setMode(c,b.options.mode||"hide"),e=parseInt(b.options.percent,10)||150,f=e/100,g={height:c.height(),width:c.width()};a.extend(b.options,{fade:!0,mode:d,percent:d=="hide"?e:100,from:d=="hide"?g:{height:g.height*f,width:g.width*f}}),c.effect("scale",b.options,b.duration,b.callback),c.dequeue()})},a.effects.scale=function(b){return this.queue(function(){var c=a(this),d=a.extend(!0,{},b.options),e=a.effects.setMode(c,b.options.mode||"effect"),f=parseInt(b.options.percent,10)||(parseInt(b.options.percent,10)==0?0:e=="hide"?0:100),g=b.options.direction||"both",h=b.options.origin;e!="effect"&&(d.origin=h||["middle","center"],d.restore=!0);var i={height:c.height(),width:c.width()};c.from=b.options.from||(e=="show"?{height:0,width:0}:i);var j={y:g!="horizontal"?f/100:1,x:g!="vertical"?f/100:1};c.to={height:i.height*j.y,width:i.width*j.x},b.options.fade&&(e=="show"&&(c.from.opacity=0,c.to.opacity=1),e=="hide"&&(c.from.opacity=1,c.to.opacity=0)),d.from=c.from,d.to=c.to,d.mode=e,c.effect("size",d,b.duration,b.callback),c.dequeue()})},a.effects.size=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right","width","height","overflow","opacity"],e=["position","top","bottom","left","right","overflow","opacity"],f=["width","height","overflow"],g=["fontSize"],h=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],i=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],j=a.effects.setMode(c,b.options.mode||"effect"),k=b.options.restore||!1,l=b.options.scale||"both",m=b.options.origin,n={height:c.height(),width:c.width()};c.from=b.options.from||n,c.to=b.options.to||n;if(m){var p=a.effects.getBaseline(m,n);c.from.top=(n.height-c.from.height)*p.y,c.from.left=(n.width-c.from.width)*p.x,c.to.top=(n.height-c.to.height)*p.y,c.to.left=(n.width-c.to.width)*p.x}var q={from:{y:c.from.height/n.height,x:c.from.width/n.width},to:{y:c.to.height/n.height,x:c.to.width/n.width}};if(l=="box"||l=="both")q.from.y!=q.to.y&&(d=d.concat(h),c.from=a.effects.setTransition(c,h,q.from.y,c.from),c.to=a.effects.setTransition(c,h,q.to.y,c.to)),q.from.x!=q.to.x&&(d=d.concat(i),c.from=a.effects.setTransition(c,i,q.from.x,c.from),c.to=a.effects.setTransition(c,i,q.to.x,c.to));(l=="content"||l=="both")&&q.from.y!=q.to.y&&(d=d.concat(g),c.from=a.effects.setTransition(c,g,q.from.y,c.from),c.to=a.effects.setTransition(c,g,q.to.y,c.to)),a.effects.save(c,k?d:e),c.show(),a.effects.createWrapper(c),c.css("overflow","hidden").css(c.from);if(l=="content"||l=="both")h=h.concat(["marginTop","marginBottom"]).concat(g),i=i.concat(["marginLeft","marginRight"]),f=d.concat(h).concat(i),c.find("*[width]").each(function(){child=a(this),k&&a.effects.save(child,f);var c={height:child.height(),width:child.width()};child.from={height:c.height*q.from.y,width:c.width*q.from.x},child.to={height:c.height*q.to.y,width:c.width*q.to.x},q.from.y!=q.to.y&&(child.from=a.effects.setTransition(child,h,q.from.y,child.from),child.to=a.effects.setTransition(child,h,q.to.y,child.to)),q.from.x!=q.to.x&&(child.from=a.effects.setTransition(child,i,q.from.x,child.from),child.to=a.effects.setTransition(child,i,q.to.x,child.to)),child.css(child.from),child.animate(child.to,b.duration,b.options.easing,function(){k&&a.effects.restore(child,f)})});c.animate(c.to,{queue:!1,duration:b.duration,easing:b.options.easing,complete:function(){c.to.opacity===0&&c.css("opacity",c.from.opacity),j=="hide"&&c.hide(),a.effects.restore(c,k?d:e),a.effects.removeWrapper(c),b.callback&&b.callback.apply(this,arguments),c.dequeue()}})})}})(jQuery);/*
 * jQuery UI Effects Shake 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Shake
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.shake=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right"],e=a.effects.setMode(c,b.options.mode||"effect"),f=b.options.direction||"left",g=b.options.distance||20,h=b.options.times||3,i=b.duration||b.options.duration||140;a.effects.save(c,d),c.show(),a.effects.createWrapper(c);var j=f=="up"||f=="down"?"top":"left",k=f=="up"||f=="left"?"pos":"neg",l={},m={},n={};l[j]=(k=="pos"?"-=":"+=")+g,m[j]=(k=="pos"?"+=":"-=")+g*2,n[j]=(k=="pos"?"-=":"+=")+g*2,c.animate(l,i,b.options.easing);for(var p=1;p<h;p++)c.animate(m,i,b.options.easing).animate(n,i,b.options.easing);c.animate(m,i,b.options.easing).animate(l,i/2,b.options.easing,function(){a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(this,arguments)}),c.queue("fx",function(){c.dequeue()}),c.dequeue()})}})(jQuery);/*
 * jQuery UI Effects Slide 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Slide
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.slide=function(b){return this.queue(function(){var c=a(this),d=["position","top","bottom","left","right"],e=a.effects.setMode(c,b.options.mode||"show"),f=b.options.direction||"left";a.effects.save(c,d),c.show(),a.effects.createWrapper(c).css({overflow:"hidden"});var g=f=="up"||f=="down"?"top":"left",h=f=="up"||f=="left"?"pos":"neg",i=b.options.distance||(g=="top"?c.outerHeight({margin:!0}):c.outerWidth({margin:!0}));e=="show"&&c.css(g,h=="pos"?isNaN(i)?"-"+i:-i:i);var j={};j[g]=(e=="show"?h=="pos"?"+=":"-=":h=="pos"?"-=":"+=")+i,c.animate(j,{queue:!1,duration:b.duration,easing:b.options.easing,complete:function(){e=="hide"&&c.hide(),a.effects.restore(c,d),a.effects.removeWrapper(c),b.callback&&b.callback.apply(this,arguments),c.dequeue()}})})}})(jQuery);/*
 * jQuery UI Effects Transfer 1.8.17
 *
 * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
 * Dual licensed under the MIT or GPL Version 2 licenses.
 * http://jquery.org/license
 *
 * http://docs.jquery.com/UI/Effects/Transfer
 *
 * Depends:
 *	jquery.effects.core.js
 */(function(a,b){a.effects.transfer=function(b){return this.queue(function(){var c=a(this),d=a(b.options.to),e=d.offset(),f={top:e.top,left:e.left,height:d.innerHeight(),width:d.innerWidth()},g=c.offset(),h=a('<div class="ui-effects-transfer"></div>').appendTo(document.body).addClass(b.options.className).css({top:g.top,left:g.left,height:c.innerHeight(),width:c.innerWidth(),position:"absolute"}).animate(f,b.duration,b.options.easing,function(){h.remove(),b.callback&&b.callback.apply(c[0],arguments),c.dequeue()})})}})(jQuery);'
tenjsn = 'jquery-1.7.1.min.js'
tenjsd = '/*! jQuery v1.7.1 jquery.com | jquery.org/license */
(function(a,b){function cy(a){return f.isWindow(a)?a:a.nodeType===9?a.defaultView||a.parentWindow:!1}function cv(a){if(!ck[a]){var b=c.body,d=f("<"+a+">").appendTo(b),e=d.css("display");d.remove();if(e==="none"||e===""){cl||(cl=c.createElement("iframe"),cl.frameBorder=cl.width=cl.height=0),b.appendChild(cl);if(!cm||!cl.createElement)cm=(cl.contentWindow||cl.contentDocument).document,cm.write((c.compatMode==="CSS1Compat"?"<!doctype html>":"")+"<html><body>"),cm.close();d=cm.createElement(a),cm.body.appendChild(d),e=f.css(d,"display"),b.removeChild(cl)}ck[a]=e}return ck[a]}function cu(a,b){var c={};f.each(cq.concat.apply([],cq.slice(0,b)),function(){c[this]=a});return c}function ct(){cr=b}function cs(){setTimeout(ct,0);return cr=f.now()}function cj(){try{return new a.ActiveXObject("Microsoft.XMLHTTP")}catch(b){}}function ci(){try{return new a.XMLHttpRequest}catch(b){}}function cc(a,c){a.dataFilter&&(c=a.dataFilter(c,a.dataType));var d=a.dataTypes,e={},g,h,i=d.length,j,k=d[0],l,m,n,o,p;for(g=1;g<i;g++){if(g===1)for(h in a.converters)typeof h=="string"&&(e[h.toLowerCase()]=a.converters[h]);l=k,k=d[g];if(k==="*")k=l;else if(l!=="*"&&l!==k){m=l+" "+k,n=e[m]||e["* "+k];if(!n){p=b;for(o in e){j=o.split(" ");if(j[0]===l||j[0]==="*"){p=e[j[1]+" "+k];if(p){o=e[o],o===!0?n=p:p===!0&&(n=o);break}}}}!n&&!p&&f.error("No conversion from "+m.replace(" "," to ")),n!==!0&&(c=n?n(c):p(o(c)))}}return c}function cb(a,c,d){var e=a.contents,f=a.dataTypes,g=a.responseFields,h,i,j,k;for(i in g)i in d&&(c[g[i]]=d[i]);while(f[0]==="*")f.shift(),h===b&&(h=a.mimeType||c.getResponseHeader("content-type"));if(h)for(i in e)if(e[i]&&e[i].test(h)){f.unshift(i);break}if(f[0]in d)j=f[0];else{for(i in d){if(!f[0]||a.converters[i+" "+f[0]]){j=i;break}k||(k=i)}j=j||k}if(j){j!==f[0]&&f.unshift(j);return d[j]}}function ca(a,b,c,d){if(f.isArray(b))f.each(b,function(b,e){c||bE.test(a)?d(a,e):ca(a+"["+(typeof e=="object"||f.isArray(e)?b:"")+"]",e,c,d)});else if(!c&&b!=null&&typeof b=="object")for(var e in b)ca(a+"["+e+"]",b[e],c,d);else d(a,b)}function b_(a,c){var d,e,g=f.ajaxSettings.flatOptions||{};for(d in c)c[d]!==b&&((g[d]?a:e||(e={}))[d]=c[d]);e&&f.extend(!0,a,e)}function b$(a,c,d,e,f,g){f=f||c.dataTypes[0],g=g||{},g[f]=!0;var h=a[f],i=0,j=h?h.length:0,k=a===bT,l;for(;i<j&&(k||!l);i++)l=h[i](c,d,e),typeof l=="string"&&(!k||g[l]?l=b:(c.dataTypes.unshift(l),l=b$(a,c,d,e,l,g)));(k||!l)&&!g["*"]&&(l=b$(a,c,d,e,"*",g));return l}function bZ(a){return function(b,c){typeof b!="string"&&(c=b,b="*");if(f.isFunction(c)){var d=b.toLowerCase().split(bP),e=0,g=d.length,h,i,j;for(;e<g;e++)h=d[e],j=/^\+/.test(h),j&&(h=h.substr(1)||"*"),i=a[h]=a[h]||[],i[j?"unshift":"push"](c)}}}function bC(a,b,c){var d=b==="width"?a.offsetWidth:a.offsetHeight,e=b==="width"?bx:by,g=0,h=e.length;if(d>0){if(c!=="border")for(;g<h;g++)c||(d-=parseFloat(f.css(a,"padding"+e[g]))||0),c==="margin"?d+=parseFloat(f.css(a,c+e[g]))||0:d-=parseFloat(f.css(a,"border"+e[g]+"Width"))||0;return d+"px"}d=bz(a,b,b);if(d<0||d==null)d=a.style[b]||0;d=parseFloat(d)||0;if(c)for(;g<h;g++)d+=parseFloat(f.css(a,"padding"+e[g]))||0,c!=="padding"&&(d+=parseFloat(f.css(a,"border"+e[g]+"Width"))||0),c==="margin"&&(d+=parseFloat(f.css(a,c+e[g]))||0);return d+"px"}function bp(a,b){b.src?f.ajax({url:b.src,async:!1,dataType:"script"}):f.globalEval((b.text||b.textContent||b.innerHTML||"").replace(bf,"/*$0*/")),b.parentNode&&b.parentNode.removeChild(b)}function bo(a){var b=c.createElement("div");bh.appendChild(b),b.innerHTML=a.outerHTML;return b.firstChild}function bn(a){var b=(a.nodeName||"").toLowerCase();b==="input"?bm(a):b!=="script"&&typeof a.getElementsByTagName!="undefined"&&f.grep(a.getElementsByTagName("input"),bm)}function bm(a){if(a.type==="checkbox"||a.type==="radio")a.defaultChecked=a.checked}function bl(a){return typeof a.getElementsByTagName!="undefined"?a.getElementsByTagName("*"):typeof a.querySelectorAll!="undefined"?a.querySelectorAll("*"):[]}function bk(a,b){var c;if(b.nodeType===1){b.clearAttributes&&b.clearAttributes(),b.mergeAttributes&&b.mergeAttributes(a),c=b.nodeName.toLowerCase();if(c==="object")b.outerHTML=a.outerHTML;else if(c!=="input"||a.type!=="checkbox"&&a.type!=="radio"){if(c==="option")b.selected=a.defaultSelected;else if(c==="input"||c==="textarea")b.defaultValue=a.defaultValue}else a.checked&&(b.defaultChecked=b.checked=a.checked),b.value!==a.value&&(b.value=a.value);b.removeAttribute(f.expando)}}function bj(a,b){if(b.nodeType===1&&!!f.hasData(a)){var c,d,e,g=f._data(a),h=f._data(b,g),i=g.events;if(i){delete h.handle,h.events={};for(c in i)for(d=0,e=i[c].length;d<e;d++)f.event.add(b,c+(i[c][d].namespace?".":"")+i[c][d].namespace,i[c][d],i[c][d].data)}h.data&&(h.data=f.extend({},h.data))}}function bi(a,b){return f.nodeName(a,"table")?a.getElementsByTagName("tbody")[0]||a.appendChild(a.ownerDocument.createElement("tbody")):a}function U(a){var b=V.split("|"),c=a.createDocumentFragment();if(c.createElement)while(b.length)c.createElement(b.pop());return c}function T(a,b,c){b=b||0;if(f.isFunction(b))return f.grep(a,function(a,d){var e=!!b.call(a,d,a);return e===c});if(b.nodeType)return f.grep(a,function(a,d){return a===b===c});if(typeof b=="string"){var d=f.grep(a,function(a){return a.nodeType===1});if(O.test(b))return f.filter(b,d,!c);b=f.filter(b,d)}return f.grep(a,function(a,d){return f.inArray(a,b)>=0===c})}function S(a){return!a||!a.parentNode||a.parentNode.nodeType===11}function K(){return!0}function J(){return!1}function n(a,b,c){var d=b+"defer",e=b+"queue",g=b+"mark",h=f._data(a,d);h&&(c==="queue"||!f._data(a,e))&&(c==="mark"||!f._data(a,g))&&setTimeout(function(){!f._data(a,e)&&!f._data(a,g)&&(f.removeData(a,d,!0),h.fire())},0)}function m(a){for(var b in a){if(b==="data"&&f.isEmptyObject(a[b]))continue;if(b!=="toJSON")return!1}return!0}function l(a,c,d){if(d===b&&a.nodeType===1){var e="data-"+c.replace(k,"-$1").toLowerCase();d=a.getAttribute(e);if(typeof d=="string"){try{d=d==="true"?!0:d==="false"?!1:d==="null"?null:f.isNumeric(d)?parseFloat(d):j.test(d)?f.parseJSON(d):d}catch(g){}f.data(a,c,d)}else d=b}return d}function h(a){var b=g[a]={},c,d;a=a.split(/\s+/);for(c=0,d=a.length;c<d;c++)b[a[c]]=!0;return b}var c=a.document,d=a.navigator,e=a.location,f=function(){function J(){if(!e.isReady){try{c.documentElement.doScroll("left")}catch(a){setTimeout(J,1);return}e.ready()}}var e=function(a,b){return new e.fn.init(a,b,h)},f=a.jQuery,g=a.$,h,i=/^(?:[^#<]*(<[\w\W]+>)[^>]*$|#([\w\-]*)$)/,j=/\S/,k=/^\s+/,l=/\s+$/,m=/^<(\w+)\s*\/?>(?:<\/\1>)?$/,n=/^[\],:{}\s]*$/,o=/\\(?:["\\\/bfnrt]|u[0-9a-fA-F]{4})/g,p=/"[^"\\\n\r]*"|true|false|null|-?\d+(?:\.\d*)?(?:[eE][+\-]?\d+)?/g,q=/(?:^|:|,)(?:\s*\[)+/g,r=/(webkit)[ \/]([\w.]+)/,s=/(opera)(?:.*version)?[ \/]([\w.]+)/,t=/(msie) ([\w.]+)/,u=/(mozilla)(?:.*? rv:([\w.]+))?/,v=/-([a-z]|[0-9])/ig,w=/^-ms-/,x=function(a,b){return(b+"").toUpperCase()},y=d.userAgent,z,A,B,C=Object.prototype.toString,D=Object.prototype.hasOwnProperty,E=Array.prototype.push,F=Array.prototype.slice,G=String.prototype.trim,H=Array.prototype.indexOf,I={};e.fn=e.prototype={constructor:e,init:function(a,d,f){var g,h,j,k;if(!a)return this;if(a.nodeType){this.context=this[0]=a,this.length=1;return this}if(a==="body"&&!d&&c.body){this.context=c,this[0]=c.body,this.selector=a,this.length=1;return this}if(typeof a=="string"){a.charAt(0)!=="<"||a.charAt(a.length-1)!==">"||a.length<3?g=i.exec(a):g=[null,a,null];if(g&&(g[1]||!d)){if(g[1]){d=d instanceof e?d[0]:d,k=d?d.ownerDocument||d:c,j=m.exec(a),j?e.isPlainObject(d)?(a=[c.createElement(j[1])],e.fn.attr.call(a,d,!0)):a=[k.createElement(j[1])]:(j=e.buildFragment([g[1]],[k]),a=(j.cacheable?e.clone(j.fragment):j.fragment).childNodes);return e.merge(this,a)}h=c.getElementById(g[2]);if(h&&h.parentNode){if(h.id!==g[2])return f.find(a);this.length=1,this[0]=h}this.context=c,this.selector=a;return this}return!d||d.jquery?(d||f).find(a):this.constructor(d).find(a)}if(e.isFunction(a))return f.ready(a);a.selector!==b&&(this.selector=a.selector,this.context=a.context);return e.makeArray(a,this)},selector:"",jquery:"1.7.1",length:0,size:function(){return this.length},toArray:function(){return F.call(this,0)},get:function(a){return a==null?this.toArray():a<0?this[this.length+a]:this[a]},pushStack:function(a,b,c){var d=this.constructor();e.isArray(a)?E.apply(d,a):e.merge(d,a),d.prevObject=this,d.context=this.context,b==="find"?d.selector=this.selector+(this.selector?" ":"")+c:b&&(d.selector=this.selector+"."+b+"("+c+")");return d},each:function(a,b){return e.each(this,a,b)},ready:function(a){e.bindReady(),A.add(a);return this},eq:function(a){a=+a;return a===-1?this.slice(a):this.slice(a,a+1)},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},slice:function(){return this.pushStack(F.apply(this,arguments),"slice",F.call(arguments).join(","))},map:function(a){return this.pushStack(e.map(this,function(b,c){return a.call(b,c,b)}))},end:function(){return this.prevObject||this.constructor(null)},push:E,sort:[].sort,splice:[].splice},e.fn.init.prototype=e.fn,e.extend=e.fn.extend=function(){var a,c,d,f,g,h,i=arguments[0]||{},j=1,k=arguments.length,l=!1;typeof i=="boolean"&&(l=i,i=arguments[1]||{},j=2),typeof i!="object"&&!e.isFunction(i)&&(i={}),k===j&&(i=this,--j);for(;j<k;j++)if((a=arguments[j])!=null)for(c in a){d=i[c],f=a[c];if(i===f)continue;l&&f&&(e.isPlainObject(f)||(g=e.isArray(f)))?(g?(g=!1,h=d&&e.isArray(d)?d:[]):h=d&&e.isPlainObject(d)?d:{},i[c]=e.extend(l,h,f)):f!==b&&(i[c]=f)}return i},e.extend({noConflict:function(b){a.$===e&&(a.$=g),b&&a.jQuery===e&&(a.jQuery=f);return e},isReady:!1,readyWait:1,holdReady:function(a){a?e.readyWait++:e.ready(!0)},ready:function(a){if(a===!0&&!--e.readyWait||a!==!0&&!e.isReady){if(!c.body)return setTimeout(e.ready,1);e.isReady=!0;if(a!==!0&&--e.readyWait>0)return;A.fireWith(c,[e]),e.fn.trigger&&e(c).trigger("ready").off("ready")}},bindReady:function(){if(!A){A=e.Callbacks("once memory");if(c.readyState==="complete")return setTimeout(e.ready,1);if(c.addEventListener)c.addEventListener("DOMContentLoaded",B,!1),a.addEventListener("load",e.ready,!1);else if(c.attachEvent){c.attachEvent("onreadystatechange",B),a.attachEvent("onload",e.ready);var b=!1;try{b=a.frameElement==null}catch(d){}c.documentElement.doScroll&&b&&J()}}},isFunction:function(a){return e.type(a)==="function"},isArray:Array.isArray||function(a){return e.type(a)==="array"},isWindow:function(a){return a&&typeof a=="object"&&"setInterval"in a},isNumeric:function(a){return!isNaN(parseFloat(a))&&isFinite(a)},type:function(a){return a==null?String(a):I[C.call(a)]||"object"},isPlainObject:function(a){if(!a||e.type(a)!=="object"||a.nodeType||e.isWindow(a))return!1;try{if(a.constructor&&!D.call(a,"constructor")&&!D.call(a.constructor.prototype,"isPrototypeOf"))return!1}catch(c){return!1}var d;for(d in a);return d===b||D.call(a,d)},isEmptyObject:function(a){for(var b in a)return!1;return!0},error:function(a){throw new Error(a)},parseJSON:function(b){if(typeof b!="string"||!b)return null;b=e.trim(b);if(a.JSON&&a.JSON.parse)return a.JSON.parse(b);if(n.test(b.replace(o,"@").replace(p,"]").replace(q,"")))return(new Function("return "+b))();e.error("Invalid JSON: "+b)},parseXML:function(c){var d,f;try{a.DOMParser?(f=new DOMParser,d=f.parseFromString(c,"text/xml")):(d=new ActiveXObject("Microsoft.XMLDOM"),d.async="false",d.loadXML(c))}catch(g){d=b}(!d||!d.documentElement||d.getElementsByTagName("parsererror").length)&&e.error("Invalid XML: "+c);return d},noop:function(){},globalEval:function(b){b&&j.test(b)&&(a.execScript||function(b){a.eval.call(a,b)})(b)},camelCase:function(a){return a.replace(w,"ms-").replace(v,x)},nodeName:function(a,b){return a.nodeName&&a.nodeName.toUpperCase()===b.toUpperCase()},each:function(a,c,d){var f,g=0,h=a.length,i=h===b||e.isFunction(a);if(d){if(i){for(f in a)if(c.apply(a[f],d)===!1)break}else for(;g<h;)if(c.apply(a[g++],d)===!1)break}else if(i){for(f in a)if(c.call(a[f],f,a[f])===!1)break}else for(;g<h;)if(c.call(a[g],g,a[g++])===!1)break;return a},trim:G?function(a){return a==null?"":G.call(a)}:function(a){return a==null?"":(a+"").replace(k,"").replace(l,"")},makeArray:function(a,b){var c=b||[];if(a!=null){var d=e.type(a);a.length==null||d==="string"||d==="function"||d==="regexp"||e.isWindow(a)?E.call(c,a):e.merge(c,a)}return c},inArray:function(a,b,c){var d;if(b){if(H)return H.call(b,a,c);d=b.length,c=c?c<0?Math.max(0,d+c):c:0;for(;c<d;c++)if(c in b&&b[c]===a)return c}return-1},merge:function(a,c){var d=a.length,e=0;if(typeof c.length=="number")for(var f=c.length;e<f;e++)a[d++]=c[e];else while(c[e]!==b)a[d++]=c[e++];a.length=d;return a},grep:function(a,b,c){var d=[],e;c=!!c;for(var f=0,g=a.length;f<g;f++)e=!!b(a[f],f),c!==e&&d.push(a[f]);return d},map:function(a,c,d){var f,g,h=[],i=0,j=a.length,k=a instanceof e||j!==b&&typeof j=="number"&&(j>0&&a[0]&&a[j-1]||j===0||e.isArray(a));if(k)for(;i<j;i++)f=c(a[i],i,d),f!=null&&(h[h.length]=f);else for(g in a)f=c(a[g],g,d),f!=null&&(h[h.length]=f);return h.concat.apply([],h)},guid:1,proxy:function(a,c){if(typeof c=="string"){var d=a[c];c=a,a=d}if(!e.isFunction(a))return b;var f=F.call(arguments,2),g=function(){return a.apply(c,f.concat(F.call(arguments)))};g.guid=a.guid=a.guid||g.guid||e.guid++;return g},access:function(a,c,d,f,g,h){var i=a.length;if(typeof c=="object"){for(var j in c)e.access(a,j,c[j],f,g,d);return a}if(d!==b){f=!h&&f&&e.isFunction(d);for(var k=0;k<i;k++)g(a[k],c,f?d.call(a[k],k,g(a[k],c)):d,h);return a}return i?g(a[0],c):b},now:function(){return(new Date).getTime()},uaMatch:function(a){a=a.toLowerCase();var b=r.exec(a)||s.exec(a)||t.exec(a)||a.indexOf("compatible")<0&&u.exec(a)||[];return{browser:b[1]||"",version:b[2]||"0"}},sub:function(){function a(b,c){return new a.fn.init(b,c)}e.extend(!0,a,this),a.superclass=this,a.fn=a.prototype=this(),a.fn.constructor=a,a.sub=this.sub,a.fn.init=function(d,f){f&&f instanceof e&&!(f instanceof a)&&(f=a(f));return e.fn.init.call(this,d,f,b)},a.fn.init.prototype=a.fn;var b=a(c);return a},browser:{}}),e.each("Boolean Number String Function Array Date RegExp Object".split(" "),function(a,b){I["[object "+b+"]"]=b.toLowerCase()}),z=e.uaMatch(y),z.browser&&(e.browser[z.browser]=!0,e.browser.version=z.version),e.browser.webkit&&(e.browser.safari=!0),j.test(" ")&&(k=/^[\s\xA0]+/,l=/[\s\xA0]+$/),h=e(c),c.addEventListener?B=function(){c.removeEventListener("DOMContentLoaded",B,!1),e.ready()}:c.attachEvent&&(B=function(){c.readyState==="complete"&&(c.detachEvent("onreadystatechange",B),e.ready())});return e}(),g={};f.Callbacks=function(a){a=a?g[a]||h(a):{};var c=[],d=[],e,i,j,k,l,m=function(b){var d,e,g,h,i;for(d=0,e=b.length;d<e;d++)g=b[d],h=f.type(g),h==="array"?m(g):h==="function"&&(!a.unique||!o.has(g))&&c.push(g)},n=function(b,f){f=f||[],e=!a.memory||[b,f],i=!0,l=j||0,j=0,k=c.length;for(;c&&l<k;l++)if(c[l].apply(b,f)===!1&&a.stopOnFalse){e=!0;break}i=!1,c&&(a.once?e===!0?o.disable():c=[]:d&&d.length&&(e=d.shift(),o.fireWith(e[0],e[1])))},o={add:function(){if(c){var a=c.length;m(arguments),i?k=c.length:e&&e!==!0&&(j=a,n(e[0],e[1]))}return this},remove:function(){if(c){var b=arguments,d=0,e=b.length;for(;d<e;d++)for(var f=0;f<c.length;f++)if(b[d]===c[f]){i&&f<=k&&(k--,f<=l&&l--),c.splice(f--,1);if(a.unique)break}}return this},has:function(a){if(c){var b=0,d=c.length;for(;b<d;b++)if(a===c[b])return!0}return!1},empty:function(){c=[];return this},disable:function(){c=d=e=b;return this},disabled:function(){return!c},lock:function(){d=b,(!e||e===!0)&&o.disable();return this},locked:function(){return!d},fireWith:function(b,c){d&&(i?a.once||d.push([b,c]):(!a.once||!e)&&n(b,c));return this},fire:function(){o.fireWith(this,arguments);return this},fired:function(){return!!e}};return o};var i=[].slice;f.extend({Deferred:function(a){var b=f.Callbacks("once memory"),c=f.Callbacks("once memory"),d=f.Callbacks("memory"),e="pending",g={resolve:b,reject:c,notify:d},h={done:b.add,fail:c.add,progress:d.add,state:function(){return e},isResolved:b.fired,isRejected:c.fired,then:function(a,b,c){i.done(a).fail(b).progress(c);return this},always:function(){i.done.apply(i,arguments).fail.apply(i,arguments);return this},pipe:function(a,b,c){return f.Deferred(function(d){f.each({done:[a,"resolve"],fail:[b,"reject"],progress:[c,"notify"]},function(a,b){var c=b[0],e=b[1],g;f.isFunction(c)?i[a](function(){g=c.apply(this,arguments),g&&f.isFunction(g.promise)?g.promise().then(d.resolve,d.reject,d.notify):d[e+"With"](this===i?d:this,[g])}):i[a](d[e])})}).promise()},promise:function(a){if(a==null)a=h;else for(var b in h)a[b]=h[b];return a}},i=h.promise({}),j;for(j in g)i[j]=g[j].fire,i[j+"With"]=g[j].fireWith;i.done(function(){e="resolved"},c.disable,d.lock).fail(function(){e="rejected"},b.disable,d.lock),a&&a.call(i,i);return i},when:function(a){function m(a){return function(b){e[a]=arguments.length>1?i.call(arguments,0):b,j.notifyWith(k,e)}}function l(a){return function(c){b[a]=arguments.length>1?i.call(arguments,0):c,--g||j.resolveWith(j,b)}}var b=i.call(arguments,0),c=0,d=b.length,e=Array(d),g=d,h=d,j=d<=1&&a&&f.isFunction(a.promise)?a:f.Deferred(),k=j.promise();if(d>1){for(;c<d;c++)b[c]&&b[c].promise&&f.isFunction(b[c].promise)?b[c].promise().then(l(c),j.reject,m(c)):--g;g||j.resolveWith(j,b)}else j!==a&&j.resolveWith(j,d?[a]:[]);return k}}),f.support=function(){var b,d,e,g,h,i,j,k,l,m,n,o,p,q=c.createElement("div"),r=c.documentElement;q.setAttribute("className","t"),q.innerHTML="   <link/><table></table><a href='/a' style='top:1px;float:left;opacity:.55;'>a</a><input type='checkbox'/>",d=q.getElementsByTagName("*"),e=q.getElementsByTagName("a")[0];if(!d||!d.length||!e)return{};g=c.createElement("select"),h=g.appendChild(c.createElement("option")),i=q.getElementsByTagName("input")[0],b={leadingWhitespace:q.firstChild.nodeType===3,tbody:!q.getElementsByTagName("tbody").length,htmlSerialize:!!q.getElementsByTagName("link").length,style:/top/.test(e.getAttribute("style")),hrefNormalized:e.getAttribute("href")==="/a",opacity:/^0.55/.test(e.style.opacity),cssFloat:!!e.style.cssFloat,checkOn:i.value==="on",optSelected:h.selected,getSetAttribute:q.className!=="t",enctype:!!c.createElement("form").enctype,html5Clone:c.createElement("nav").cloneNode(!0).outerHTML!=="<:nav></:nav>",submitBubbles:!0,changeBubbles:!0,focusinBubbles:!1,deleteExpando:!0,noCloneEvent:!0,inlineBlockNeedsLayout:!1,shrinkWrapBlocks:!1,reliableMarginRight:!0},i.checked=!0,b.noCloneChecked=i.cloneNode(!0).checked,g.disabled=!0,b.optDisabled=!h.disabled;try{delete q.test}catch(s){b.deleteExpando=!1}!q.addEventListener&&q.attachEvent&&q.fireEvent&&(q.attachEvent("onclick",function(){b.noCloneEvent=!1}),q.cloneNode(!0).fireEvent("onclick")),i=c.createElement("input"),i.value="t",i.setAttribute("type","radio"),b.radioValue=i.value==="t",i.setAttribute("checked","checked"),q.appendChild(i),k=c.createDocumentFragment(),k.appendChild(q.lastChild),b.checkClone=k.cloneNode(!0).cloneNode(!0).lastChild.checked,b.appendChecked=i.checked,k.removeChild(i),k.appendChild(q),q.innerHTML="",a.getComputedStyle&&(j=c.createElement("div"),j.style.width="0",j.style.marginRight="0",q.style.width="2px",q.appendChild(j),b.reliableMarginRight=(parseInt((a.getComputedStyle(j,null)||{marginRight:0}).marginRight,10)||0)===0);if(q.attachEvent)for(o in{submit:1,change:1,focusin:1})n="on"+o,p=n in q,p||(q.setAttribute(n,"return;"),p=typeof q[n]=="function"),b[o+"Bubbles"]=p;k.removeChild(q),k=g=h=j=q=i=null,f(function(){var a,d,e,g,h,i,j,k,m,n,o,r=c.getElementsByTagName("body")[0];!r||(j=1,k="position:absolute;top:0;left:0;width:1px;height:1px;margin:0;",m="visibility:hidden;border:0;",n="style='"+k+"border:5px solid #000;padding:0;'",o="<div "+n+"><div></div></div>"+"<table "+n+" cellpadding='0' cellspacing='0'>"+"<tr><td></td></tr></table>",a=c.createElement("div"),a.style.cssText=m+"width:0;height:0;position:static;top:0;margin-top:"+j+"px",r.insertBefore(a,r.firstChild),q=c.createElement("div"),a.appendChild(q),q.innerHTML="<table><tr><td style='padding:0;border:0;display:none'></td><td>t</td></tr></table>",l=q.getElementsByTagName("td"),p=l[0].offsetHeight===0,l[0].style.display="",l[1].style.display="none",b.reliableHiddenOffsets=p&&l[0].offsetHeight===0,q.innerHTML="",q.style.width=q.style.paddingLeft="1px",f.boxModel=b.boxModel=q.offsetWidth===2,typeof q.style.zoom!="undefined"&&(q.style.display="inline",q.style.zoom=1,b.inlineBlockNeedsLayout=q.offsetWidth===2,q.style.display="",q.innerHTML="<div style='width:4px;'></div>",b.shrinkWrapBlocks=q.offsetWidth!==2),q.style.cssText=k+m,q.innerHTML=o,d=q.firstChild,e=d.firstChild,h=d.nextSibling.firstChild.firstChild,i={doesNotAddBorder:e.offsetTop!==5,doesAddBorderForTableAndCells:h.offsetTop===5},e.style.position="fixed",e.style.top="20px",i.fixedPosition=e.offsetTop===20||e.offsetTop===15,e.style.position=e.style.top="",d.style.overflow="hidden",d.style.position="relative",i.subtractsBorderForOverflowNotVisible=e.offsetTop===-5,i.doesNotIncludeMarginInBodyOffset=r.offsetTop!==j,r.removeChild(a),q=a=null,f.extend(b,i))});return b}();var j=/^(?:\{.*\}|\[.*\])$/,k=/([A-Z])/g;f.extend({cache:{},uuid:0,expando:"jQuery"+(f.fn.jquery+Math.random()).replace(/\D/g,""),noData:{embed:!0,object:"clsid:D27CDB6E-AE6D-11cf-96B8-444553540000",applet:!0},hasData:function(a){a=a.nodeType?f.cache[a[f.expando]]:a[f.expando];return!!a&&!m(a)},data:function(a,c,d,e){if(!!f.acceptData(a)){var g,h,i,j=f.expando,k=typeof c=="string",l=a.nodeType,m=l?f.cache:a,n=l?a[j]:a[j]&&j,o=c==="events";if((!n||!m[n]||!o&&!e&&!m[n].data)&&k&&d===b)return;n||(l?a[j]=n=++f.uuid:n=j),m[n]||(m[n]={},l||(m[n].toJSON=f.noop));if(typeof c=="object"||typeof c=="function")e?m[n]=f.extend(m[n],c):m[n].data=f.extend(m[n].data,c);g=h=m[n],e||(h.data||(h.data={}),h=h.data),d!==b&&(h[f.camelCase(c)]=d);if(o&&!h[c])return g.events;k?(i=h[c],i==null&&(i=h[f.camelCase(c)])):i=h;return i}},removeData:function(a,b,c){if(!!f.acceptData(a)){var d,e,g,h=f.expando,i=a.nodeType,j=i?f.cache:a,k=i?a[h]:h;if(!j[k])return;if(b){d=c?j[k]:j[k].data;if(d){f.isArray(b)||(b in d?b=[b]:(b=f.camelCase(b),b in d?b=[b]:b=b.split(" ")));for(e=0,g=b.length;e<g;e++)delete d[b[e]];if(!(c?m:f.isEmptyObject)(d))return}}if(!c){delete j[k].data;if(!m(j[k]))return}f.support.deleteExpando||!j.setInterval?delete j[k]:j[k]=null,i&&(f.support.deleteExpando?delete a[h]:a.removeAttribute?a.removeAttribute(h):a[h]=null)}},_data:function(a,b,c){return f.data(a,b,c,!0)},acceptData:function(a){if(a.nodeName){var b=f.noData[a.nodeName.toLowerCase()];if(b)return b!==!0&&a.getAttribute("classid")===b}return!0}}),f.fn.extend({data:function(a,c){var d,e,g,h=null;if(typeof a=="undefined"){if(this.length){h=f.data(this[0]);if(this[0].nodeType===1&&!f._data(this[0],"parsedAttrs")){e=this[0].attributes;for(var i=0,j=e.length;i<j;i++)g=e[i].name,g.indexOf("data-")===0&&(g=f.camelCase(g.substring(5)),l(this[0],g,h[g]));f._data(this[0],"parsedAttrs",!0)}}return h}if(typeof a=="object")return this.each(function(){f.data(this,a)});d=a.split("."),d[1]=d[1]?"."+d[1]:"";if(c===b){h=this.triggerHandler("getData"+d[1]+"!",[d[0]]),h===b&&this.length&&(h=f.data(this[0],a),h=l(this[0],a,h));return h===b&&d[1]?this.data(d[0]):h}return this.each(function(){var b=f(this),e=[d[0],c];b.triggerHandler("setData"+d[1]+"!",e),f.data(this,a,c),b.triggerHandler("changeData"+d[1]+"!",e)})},removeData:function(a){return this.each(function(){f.removeData(this,a)})}}),f.extend({_mark:function(a,b){a&&(b=(b||"fx")+"mark",f._data(a,b,(f._data(a,b)||0)+1))},_unmark:function(a,b,c){a!==!0&&(c=b,b=a,a=!1);if(b){c=c||"fx";var d=c+"mark",e=a?0:(f._data(b,d)||1)-1;e?f._data(b,d,e):(f.removeData(b,d,!0),n(b,c,"mark"))}},queue:function(a,b,c){var d;if(a){b=(b||"fx")+"queue",d=f._data(a,b),c&&(!d||f.isArray(c)?d=f._data(a,b,f.makeArray(c)):d.push(c));return d||[]}},dequeue:function(a,b){b=b||"fx";var c=f.queue(a,b),d=c.shift(),e={};d==="inprogress"&&(d=c.shift()),d&&(b==="fx"&&c.unshift("inprogress"),f._data(a,b+".run",e),d.call(a,function(){f.dequeue(a,b)},e)),c.length||(f.removeData(a,b+"queue "+b+".run",!0),n(a,b,"queue"))}}),f.fn.extend({queue:function(a,c){typeof a!="string"&&(c=a,a="fx");if(c===b)return f.queue(this[0],a);return this.each(function(){var b=f.queue(this,a,c);a==="fx"&&b[0]!=="inprogress"&&f.dequeue(this,a)})},dequeue:function(a){return this.each(function(){f.dequeue(this,a)})},delay:function(a,b){a=f.fx?f.fx.speeds[a]||a:a,b=b||"fx";return this.queue(b,function(b,c){var d=setTimeout(b,a);c.stop=function(){clearTimeout(d)}})},clearQueue:function(a){return this.queue(a||"fx",[])},promise:function(a,c){function m(){--h||d.resolveWith(e,[e])}typeof a!="string"&&(c=a,a=b),a=a||"fx";var d=f.Deferred(),e=this,g=e.length,h=1,i=a+"defer",j=a+"queue",k=a+"mark",l;while(g--)if(l=f.data(e[g],i,b,!0)||(f.data(e[g],j,b,!0)||f.data(e[g],k,b,!0))&&f.data(e[g],i,f.Callbacks("once memory"),!0))h++,l.add(m);m();return d.promise()}});var o=/[\n\t\r]/g,p=/\s+/,q=/\r/g,r=/^(?:button|input)$/i,s=/^(?:button|input|object|select|textarea)$/i,t=/^a(?:rea)?$/i,u=/^(?:autofocus|autoplay|async|checked|controls|defer|disabled|hidden|loop|multiple|open|readonly|required|scoped|selected)$/i,v=f.support.getSetAttribute,w,x,y;f.fn.extend({attr:function(a,b){return f.access(this,a,b,!0,f.attr)},removeAttr:function(a){return this.each(function(){f.removeAttr(this,a)})},prop:function(a,b){return f.access(this,a,b,!0,f.prop)},removeProp:function(a){a=f.propFix[a]||a;return this.each(function(){try{this[a]=b,delete this[a]}catch(c){}})},addClass:function(a){var b,c,d,e,g,h,i;if(f.isFunction(a))return this.each(function(b){f(this).addClass(a.call(this,b,this.className))});if(a&&typeof a=="string"){b=a.split(p);for(c=0,d=this.length;c<d;c++){e=this[c];if(e.nodeType===1)if(!e.className&&b.length===1)e.className=a;else{g=" "+e.className+" ";for(h=0,i=b.length;h<i;h++)~g.indexOf(" "+b[h]+" ")||(g+=b[h]+" ");e.className=f.trim(g)}}}return this},removeClass:function(a){var c,d,e,g,h,i,j;if(f.isFunction(a))return this.each(function(b){f(this).removeClass(a.call(this,b,this.className))});if(a&&typeof a=="string"||a===b){c=(a||"").split(p);for(d=0,e=this.length;d<e;d++){g=this[d];if(g.nodeType===1&&g.className)if(a){h=(" "+g.className+" ").replace(o," ");for(i=0,j=c.length;i<j;i++)h=h.replace(" "+c[i]+" "," ");g.className=f.trim(h)}else g.className=""}}return this},toggleClass:function(a,b){var c=typeof a,d=typeof b=="boolean";if(f.isFunction(a))return this.each(function(c){f(this).toggleClass(a.call(this,c,this.className,b),b)});return this.each(function(){if(c==="string"){var e,g=0,h=f(this),i=b,j=a.split(p);while(e=j[g++])i=d?i:!h.hasClass(e),h[i?"addClass":"removeClass"](e)}else if(c==="undefined"||c==="boolean")this.className&&f._data(this,"__className__",this.className),this.className=this.className||a===!1?"":f._data(this,"__className__")||""})},hasClass:function(a){var b=" "+a+" ",c=0,d=this.length;for(;c<d;c++)if(this[c].nodeType===1&&(" "+this[c].className+" ").replace(o," ").indexOf(b)>-1)return!0;return!1},val:function(a){var c,d,e,g=this[0];{if(!!arguments.length){e=f.isFunction(a);return this.each(function(d){var g=f(this),h;if(this.nodeType===1){e?h=a.call(this,d,g.val()):h=a,h==null?h="":typeof h=="number"?h+="":f.isArray(h)&&(h=f.map(h,function(a){return a==null?"":a+""})),c=f.valHooks[this.nodeName.toLowerCase()]||f.valHooks[this.type];if(!c||!("set"in c)||c.set(this,h,"value")===b)this.value=h}})}if(g){c=f.valHooks[g.nodeName.toLowerCase()]||f.valHooks[g.type];if(c&&"get"in c&&(d=c.get(g,"value"))!==b)return d;d=g.value;return typeof d=="string"?d.replace(q,""):d==null?"":d}}}}),f.extend({valHooks:{option:{get:function(a){var b=a.attributes.value;return!b||b.specified?a.value:a.text}},select:{get:function(a){var b,c,d,e,g=a.selectedIndex,h=[],i=a.options,j=a.type==="select-one";if(g<0)return null;c=j?g:0,d=j?g+1:i.length;for(;c<d;c++){e=i[c];if(e.selected&&(f.support.optDisabled?!e.disabled:e.getAttribute("disabled")===null)&&(!e.parentNode.disabled||!f.nodeName(e.parentNode,"optgroup"))){b=f(e).val();if(j)return b;h.push(b)}}if(j&&!h.length&&i.length)return f(i[g]).val();return h},set:function(a,b){var c=f.makeArray(b);f(a).find("option").each(function(){this.selected=f.inArray(f(this).val(),c)>=0}),c.length||(a.selectedIndex=-1);return c}}},attrFn:{val:!0,css:!0,html:!0,text:!0,data:!0,width:!0,height:!0,offset:!0},attr:function(a,c,d,e){var g,h,i,j=a.nodeType;if(!!a&&j!==3&&j!==8&&j!==2){if(e&&c in f.attrFn)return f(a)[c](d);if(typeof a.getAttribute=="undefined")return f.prop(a,c,d);i=j!==1||!f.isXMLDoc(a),i&&(c=c.toLowerCase(),h=f.attrHooks[c]||(u.test(c)?x:w));if(d!==b){if(d===null){f.removeAttr(a,c);return}if(h&&"set"in h&&i&&(g=h.set(a,d,c))!==b)return g;a.setAttribute(c,""+d);return d}if(h&&"get"in h&&i&&(g=h.get(a,c))!==null)return g;g=a.getAttribute(c);return g===null?b:g}},removeAttr:function(a,b){var c,d,e,g,h=0;if(b&&a.nodeType===1){d=b.toLowerCase().split(p),g=d.length;for(;h<g;h++)e=d[h],e&&(c=f.propFix[e]||e,f.attr(a,e,""),a.removeAttribute(v?e:c),u.test(e)&&c in a&&(a[c]=!1))}},attrHooks:{type:{set:function(a,b){if(r.test(a.nodeName)&&a.parentNode)f.error("type property can't be changed");else if(!f.support.radioValue&&b==="radio"&&f.nodeName(a,"input")){var c=a.value;a.setAttribute("type",b),c&&(a.value=c);return b}}},value:{get:function(a,b){if(w&&f.nodeName(a,"button"))return w.get(a,b);return b in a?a.value:null},set:function(a,b,c){if(w&&f.nodeName(a,"button"))return w.set(a,b,c);a.value=b}}},propFix:{tabindex:"tabIndex",readonly:"readOnly","for":"htmlFor","class":"className",maxlength:"maxLength",cellspacing:"cellSpacing",cellpadding:"cellPadding",rowspan:"rowSpan",colspan:"colSpan",usemap:"useMap",frameborder:"frameBorder",contenteditable:"contentEditable"},prop:function(a,c,d){var e,g,h,i=a.nodeType;if(!!a&&i!==3&&i!==8&&i!==2){h=i!==1||!f.isXMLDoc(a),h&&(c=f.propFix[c]||c,g=f.propHooks[c]);return d!==b?g&&"set"in g&&(e=g.set(a,d,c))!==b?e:a[c]=d:g&&"get"in g&&(e=g.get(a,c))!==null?e:a[c]}},propHooks:{tabIndex:{get:function(a){var c=a.getAttributeNode("tabindex");return c&&c.specified?parseInt(c.value,10):s.test(a.nodeName)||t.test(a.nodeName)&&a.href?0:b}}}}),f.attrHooks.tabindex=f.propHooks.tabIndex,x={get:function(a,c){var d,e=f.prop(a,c);return e===!0||typeof e!="boolean"&&(d=a.getAttributeNode(c))&&d.nodeValue!==!1?c.toLowerCase():b},set:function(a,b,c){var d;b===!1?f.removeAttr(a,c):(d=f.propFix[c]||c,d in a&&(a[d]=!0),a.setAttribute(c,c.toLowerCase()));return c}},v||(y={name:!0,id:!0},w=f.valHooks.button={get:function(a,c){var d;d=a.getAttributeNode(c);return d&&(y[c]?d.nodeValue!=="":d.specified)?d.nodeValue:b},set:function(a,b,d){var e=a.getAttributeNode(d);e||(e=c.createAttribute(d),a.setAttributeNode(e));return e.nodeValue=b+""}},f.attrHooks.tabindex.set=w.set,f.each(["width","height"],function(a,b){f.attrHooks[b]=f.extend(f.attrHooks[b],{set:function(a,c){if(c===""){a.setAttribute(b,"auto");return c}}})}),f.attrHooks.contenteditable={get:w.get,set:function(a,b,c){b===""&&(b="false"),w.set(a,b,c)}}),f.support.hrefNormalized||f.each(["href","src","width","height"],function(a,c){f.attrHooks[c]=f.extend(f.attrHooks[c],{get:function(a){var d=a.getAttribute(c,2);return d===null?b:d}})}),f.support.style||(f.attrHooks.style={get:function(a){return a.style.cssText.toLowerCase()||b},set:function(a,b){return a.style.cssText=""+b}}),f.support.optSelected||(f.propHooks.selected=f.extend(f.propHooks.selected,{get:function(a){var b=a.parentNode;b&&(b.selectedIndex,b.parentNode&&b.parentNode.selectedIndex);return null}})),f.support.enctype||(f.propFix.enctype="encoding"),f.support.checkOn||f.each(["radio","checkbox"],function(){f.valHooks[this]={get:function(a){return a.getAttribute("value")===null?"on":a.value}}}),f.each(["radio","checkbox"],function(){f.valHooks[this]=f.extend(f.valHooks[this],{set:function(a,b){if(f.isArray(b))return a.checked=f.inArray(f(a).val(),b)>=0}})});var z=/^(?:textarea|input|select)$/i,A=/^([^\.]*)?(?:\.(.+))?$/,B=/\bhover(\.\S+)?\b/,C=/^key/,D=/^(?:mouse|contextmenu)|click/,E=/^(?:focusinfocus|focusoutblur)$/,F=/^(\w*)(?:#([\w\-]+))?(?:\.([\w\-]+))?$/,G=function(a){var b=F.exec(a);b&&(b[1]=(b[1]||"").toLowerCase(),b[3]=b[3]&&new RegExp("(?:^|\\s)"+b[3]+"(?:\\s|$)"));return b},H=function(a,b){var c=a.attributes||{};return(!b[1]||a.nodeName.toLowerCase()===b[1])&&(!b[2]||(c.id||{}).value===b[2])&&(!b[3]||b[3].test((c["class"]||{}).value))},I=function(a){return f.event.special.hover?a:a.replace(B,"mouseenter$1 mouseleave$1")};
f.event={add:function(a,c,d,e,g){var h,i,j,k,l,m,n,o,p,q,r,s;if(!(a.nodeType===3||a.nodeType===8||!c||!d||!(h=f._data(a)))){d.handler&&(p=d,d=p.handler),d.guid||(d.guid=f.guid++),j=h.events,j||(h.events=j={}),i=h.handle,i||(h.handle=i=function(a){return typeof f!="undefined"&&(!a||f.event.triggered!==a.type)?f.event.dispatch.apply(i.elem,arguments):b},i.elem=a),c=f.trim(I(c)).split(" ");for(k=0;k<c.length;k++){l=A.exec(c[k])||[],m=l[1],n=(l[2]||"").split(".").sort(),s=f.event.special[m]||{},m=(g?s.delegateType:s.bindType)||m,s=f.event.special[m]||{},o=f.extend({type:m,origType:l[1],data:e,handler:d,guid:d.guid,selector:g,quick:G(g),namespace:n.join(".")},p),r=j[m];if(!r){r=j[m]=[],r.delegateCount=0;if(!s.setup||s.setup.call(a,e,n,i)===!1)a.addEventListener?a.addEventListener(m,i,!1):a.attachEvent&&a.attachEvent("on"+m,i)}s.add&&(s.add.call(a,o),o.handler.guid||(o.handler.guid=d.guid)),g?r.splice(r.delegateCount++,0,o):r.push(o),f.event.global[m]=!0}a=null}},global:{},remove:function(a,b,c,d,e){var g=f.hasData(a)&&f._data(a),h,i,j,k,l,m,n,o,p,q,r,s;if(!!g&&!!(o=g.events)){b=f.trim(I(b||"")).split(" ");for(h=0;h<b.length;h++){i=A.exec(b[h])||[],j=k=i[1],l=i[2];if(!j){for(j in o)f.event.remove(a,j+b[h],c,d,!0);continue}p=f.event.special[j]||{},j=(d?p.delegateType:p.bindType)||j,r=o[j]||[],m=r.length,l=l?new RegExp("(^|\\.)"+l.split(".").sort().join("\\.(?:.*\\.)?")+"(\\.|$)"):null;for(n=0;n<r.length;n++)s=r[n],(e||k===s.origType)&&(!c||c.guid===s.guid)&&(!l||l.test(s.namespace))&&(!d||d===s.selector||d==="**"&&s.selector)&&(r.splice(n--,1),s.selector&&r.delegateCount--,p.remove&&p.remove.call(a,s));r.length===0&&m!==r.length&&((!p.teardown||p.teardown.call(a,l)===!1)&&f.removeEvent(a,j,g.handle),delete o[j])}f.isEmptyObject(o)&&(q=g.handle,q&&(q.elem=null),f.removeData(a,["events","handle"],!0))}},customEvent:{getData:!0,setData:!0,changeData:!0},trigger:function(c,d,e,g){if(!e||e.nodeType!==3&&e.nodeType!==8){var h=c.type||c,i=[],j,k,l,m,n,o,p,q,r,s;if(E.test(h+f.event.triggered))return;h.indexOf("!")>=0&&(h=h.slice(0,-1),k=!0),h.indexOf(".")>=0&&(i=h.split("."),h=i.shift(),i.sort());if((!e||f.event.customEvent[h])&&!f.event.global[h])return;c=typeof c=="object"?c[f.expando]?c:new f.Event(h,c):new f.Event(h),c.type=h,c.isTrigger=!0,c.exclusive=k,c.namespace=i.join("."),c.namespace_re=c.namespace?new RegExp("(^|\\.)"+i.join("\\.(?:.*\\.)?")+"(\\.|$)"):null,o=h.indexOf(":")<0?"on"+h:"";if(!e){j=f.cache;for(l in j)j[l].events&&j[l].events[h]&&f.event.trigger(c,d,j[l].handle.elem,!0);return}c.result=b,c.target||(c.target=e),d=d!=null?f.makeArray(d):[],d.unshift(c),p=f.event.special[h]||{};if(p.trigger&&p.trigger.apply(e,d)===!1)return;r=[[e,p.bindType||h]];if(!g&&!p.noBubble&&!f.isWindow(e)){s=p.delegateType||h,m=E.test(s+h)?e:e.parentNode,n=null;for(;m;m=m.parentNode)r.push([m,s]),n=m;n&&n===e.ownerDocument&&r.push([n.defaultView||n.parentWindow||a,s])}for(l=0;l<r.length&&!c.isPropagationStopped();l++)m=r[l][0],c.type=r[l][1],q=(f._data(m,"events")||{})[c.type]&&f._data(m,"handle"),q&&q.apply(m,d),q=o&&m[o],q&&f.acceptData(m)&&q.apply(m,d)===!1&&c.preventDefault();c.type=h,!g&&!c.isDefaultPrevented()&&(!p._default||p._default.apply(e.ownerDocument,d)===!1)&&(h!=="click"||!f.nodeName(e,"a"))&&f.acceptData(e)&&o&&e[h]&&(h!=="focus"&&h!=="blur"||c.target.offsetWidth!==0)&&!f.isWindow(e)&&(n=e[o],n&&(e[o]=null),f.event.triggered=h,e[h](),f.event.triggered=b,n&&(e[o]=n));return c.result}},dispatch:function(c){c=f.event.fix(c||a.event);var d=(f._data(this,"events")||{})[c.type]||[],e=d.delegateCount,g=[].slice.call(arguments,0),h=!c.exclusive&&!c.namespace,i=[],j,k,l,m,n,o,p,q,r,s,t;g[0]=c,c.delegateTarget=this;if(e&&!c.target.disabled&&(!c.button||c.type!=="click")){m=f(this),m.context=this.ownerDocument||this;for(l=c.target;l!=this;l=l.parentNode||this){o={},q=[],m[0]=l;for(j=0;j<e;j++)r=d[j],s=r.selector,o[s]===b&&(o[s]=r.quick?H(l,r.quick):m.is(s)),o[s]&&q.push(r);q.length&&i.push({elem:l,matches:q})}}d.length>e&&i.push({elem:this,matches:d.slice(e)});for(j=0;j<i.length&&!c.isPropagationStopped();j++){p=i[j],c.currentTarget=p.elem;for(k=0;k<p.matches.length&&!c.isImmediatePropagationStopped();k++){r=p.matches[k];if(h||!c.namespace&&!r.namespace||c.namespace_re&&c.namespace_re.test(r.namespace))c.data=r.data,c.handleObj=r,n=((f.event.special[r.origType]||{}).handle||r.handler).apply(p.elem,g),n!==b&&(c.result=n,n===!1&&(c.preventDefault(),c.stopPropagation()))}}return c.result},props:"attrChange attrName relatedNode srcElement altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "),fixHooks:{},keyHooks:{props:"char charCode key keyCode".split(" "),filter:function(a,b){a.which==null&&(a.which=b.charCode!=null?b.charCode:b.keyCode);return a}},mouseHooks:{props:"button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "),filter:function(a,d){var e,f,g,h=d.button,i=d.fromElement;a.pageX==null&&d.clientX!=null&&(e=a.target.ownerDocument||c,f=e.documentElement,g=e.body,a.pageX=d.clientX+(f&&f.scrollLeft||g&&g.scrollLeft||0)-(f&&f.clientLeft||g&&g.clientLeft||0),a.pageY=d.clientY+(f&&f.scrollTop||g&&g.scrollTop||0)-(f&&f.clientTop||g&&g.clientTop||0)),!a.relatedTarget&&i&&(a.relatedTarget=i===a.target?d.toElement:i),!a.which&&h!==b&&(a.which=h&1?1:h&2?3:h&4?2:0);return a}},fix:function(a){if(a[f.expando])return a;var d,e,g=a,h=f.event.fixHooks[a.type]||{},i=h.props?this.props.concat(h.props):this.props;a=f.Event(g);for(d=i.length;d;)e=i[--d],a[e]=g[e];a.target||(a.target=g.srcElement||c),a.target.nodeType===3&&(a.target=a.target.parentNode),a.metaKey===b&&(a.metaKey=a.ctrlKey);return h.filter?h.filter(a,g):a},special:{ready:{setup:f.bindReady},load:{noBubble:!0},focus:{delegateType:"focusin"},blur:{delegateType:"focusout"},beforeunload:{setup:function(a,b,c){f.isWindow(this)&&(this.onbeforeunload=c)},teardown:function(a,b){this.onbeforeunload===b&&(this.onbeforeunload=null)}}},simulate:function(a,b,c,d){var e=f.extend(new f.Event,c,{type:a,isSimulated:!0,originalEvent:{}});d?f.event.trigger(e,null,b):f.event.dispatch.call(b,e),e.isDefaultPrevented()&&c.preventDefault()}},f.event.handle=f.event.dispatch,f.removeEvent=c.removeEventListener?function(a,b,c){a.removeEventListener&&a.removeEventListener(b,c,!1)}:function(a,b,c){a.detachEvent&&a.detachEvent("on"+b,c)},f.Event=function(a,b){if(!(this instanceof f.Event))return new f.Event(a,b);a&&a.type?(this.originalEvent=a,this.type=a.type,this.isDefaultPrevented=a.defaultPrevented||a.returnValue===!1||a.getPreventDefault&&a.getPreventDefault()?K:J):this.type=a,b&&f.extend(this,b),this.timeStamp=a&&a.timeStamp||f.now(),this[f.expando]=!0},f.Event.prototype={preventDefault:function(){this.isDefaultPrevented=K;var a=this.originalEvent;!a||(a.preventDefault?a.preventDefault():a.returnValue=!1)},stopPropagation:function(){this.isPropagationStopped=K;var a=this.originalEvent;!a||(a.stopPropagation&&a.stopPropagation(),a.cancelBubble=!0)},stopImmediatePropagation:function(){this.isImmediatePropagationStopped=K,this.stopPropagation()},isDefaultPrevented:J,isPropagationStopped:J,isImmediatePropagationStopped:J},f.each({mouseenter:"mouseover",mouseleave:"mouseout"},function(a,b){f.event.special[a]={delegateType:b,bindType:b,handle:function(a){var c=this,d=a.relatedTarget,e=a.handleObj,g=e.selector,h;if(!d||d!==c&&!f.contains(c,d))a.type=e.origType,h=e.handler.apply(this,arguments),a.type=b;return h}}}),f.support.submitBubbles||(f.event.special.submit={setup:function(){if(f.nodeName(this,"form"))return!1;f.event.add(this,"click._submit keypress._submit",function(a){var c=a.target,d=f.nodeName(c,"input")||f.nodeName(c,"button")?c.form:b;d&&!d._submit_attached&&(f.event.add(d,"submit._submit",function(a){this.parentNode&&!a.isTrigger&&f.event.simulate("submit",this.parentNode,a,!0)}),d._submit_attached=!0)})},teardown:function(){if(f.nodeName(this,"form"))return!1;f.event.remove(this,"._submit")}}),f.support.changeBubbles||(f.event.special.change={setup:function(){if(z.test(this.nodeName)){if(this.type==="checkbox"||this.type==="radio")f.event.add(this,"propertychange._change",function(a){a.originalEvent.propertyName==="checked"&&(this._just_changed=!0)}),f.event.add(this,"click._change",function(a){this._just_changed&&!a.isTrigger&&(this._just_changed=!1,f.event.simulate("change",this,a,!0))});return!1}f.event.add(this,"beforeactivate._change",function(a){var b=a.target;z.test(b.nodeName)&&!b._change_attached&&(f.event.add(b,"change._change",function(a){this.parentNode&&!a.isSimulated&&!a.isTrigger&&f.event.simulate("change",this.parentNode,a,!0)}),b._change_attached=!0)})},handle:function(a){var b=a.target;if(this!==b||a.isSimulated||a.isTrigger||b.type!=="radio"&&b.type!=="checkbox")return a.handleObj.handler.apply(this,arguments)},teardown:function(){f.event.remove(this,"._change");return z.test(this.nodeName)}}),f.support.focusinBubbles||f.each({focus:"focusin",blur:"focusout"},function(a,b){var d=0,e=function(a){f.event.simulate(b,a.target,f.event.fix(a),!0)};f.event.special[b]={setup:function(){d++===0&&c.addEventListener(a,e,!0)},teardown:function(){--d===0&&c.removeEventListener(a,e,!0)}}}),f.fn.extend({on:function(a,c,d,e,g){var h,i;if(typeof a=="object"){typeof c!="string"&&(d=c,c=b);for(i in a)this.on(i,c,d,a[i],g);return this}d==null&&e==null?(e=c,d=c=b):e==null&&(typeof c=="string"?(e=d,d=b):(e=d,d=c,c=b));if(e===!1)e=J;else if(!e)return this;g===1&&(h=e,e=function(a){f().off(a);return h.apply(this,arguments)},e.guid=h.guid||(h.guid=f.guid++));return this.each(function(){f.event.add(this,a,e,d,c)})},one:function(a,b,c,d){return this.on.call(this,a,b,c,d,1)},off:function(a,c,d){if(a&&a.preventDefault&&a.handleObj){var e=a.handleObj;f(a.delegateTarget).off(e.namespace?e.type+"."+e.namespace:e.type,e.selector,e.handler);return this}if(typeof a=="object"){for(var g in a)this.off(g,c,a[g]);return this}if(c===!1||typeof c=="function")d=c,c=b;d===!1&&(d=J);return this.each(function(){f.event.remove(this,a,d,c)})},bind:function(a,b,c){return this.on(a,null,b,c)},unbind:function(a,b){return this.off(a,null,b)},live:function(a,b,c){f(this.context).on(a,this.selector,b,c);return this},die:function(a,b){f(this.context).off(a,this.selector||"**",b);return this},delegate:function(a,b,c,d){return this.on(b,a,c,d)},undelegate:function(a,b,c){return arguments.length==1?this.off(a,"**"):this.off(b,a,c)},trigger:function(a,b){return this.each(function(){f.event.trigger(a,b,this)})},triggerHandler:function(a,b){if(this[0])return f.event.trigger(a,b,this[0],!0)},toggle:function(a){var b=arguments,c=a.guid||f.guid++,d=0,e=function(c){var e=(f._data(this,"lastToggle"+a.guid)||0)%d;f._data(this,"lastToggle"+a.guid,e+1),c.preventDefault();return b[e].apply(this,arguments)||!1};e.guid=c;while(d<b.length)b[d++].guid=c;return this.click(e)},hover:function(a,b){return this.mouseenter(a).mouseleave(b||a)}}),f.each("blur focus focusin focusout load resize scroll unload click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup error contextmenu".split(" "),function(a,b){f.fn[b]=function(a,c){c==null&&(c=a,a=null);return arguments.length>0?this.on(b,null,a,c):this.trigger(b)},f.attrFn&&(f.attrFn[b]=!0),C.test(b)&&(f.event.fixHooks[b]=f.event.keyHooks),D.test(b)&&(f.event.fixHooks[b]=f.event.mouseHooks)}),function(){function x(a,b,c,e,f,g){for(var h=0,i=e.length;h<i;h++){var j=e[h];if(j){var k=!1;j=j[a];while(j){if(j[d]===c){k=e[j.sizset];break}if(j.nodeType===1){g||(j[d]=c,j.sizset=h);if(typeof b!="string"){if(j===b){k=!0;break}}else if(m.filter(b,[j]).length>0){k=j;break}}j=j[a]}e[h]=k}}}function w(a,b,c,e,f,g){for(var h=0,i=e.length;h<i;h++){var j=e[h];if(j){var k=!1;j=j[a];while(j){if(j[d]===c){k=e[j.sizset];break}j.nodeType===1&&!g&&(j[d]=c,j.sizset=h);if(j.nodeName.toLowerCase()===b){k=j;break}j=j[a]}e[h]=k}}}var a=/((?:\((?:\([^()]+\)|[^()]+)+\)|\[(?:\[[^\[\]]*\]|['"][^'"]*['"]|[^\[\]'"]+)+\]|\\.|[^ >+~,(\[\\]+)+|[>+~])(\s*,\s*)?((?:.|\r|\n)*)/g,d="sizcache"+(Math.random()+"").replace(".",""),e=0,g=Object.prototype.toString,h=!1,i=!0,j=/\\/g,k=/\r\n/g,l=/\W/;[0,0].sort(function(){i=!1;return 0});var m=function(b,d,e,f){e=e||[],d=d||c;var h=d;if(d.nodeType!==1&&d.nodeType!==9)return[];if(!b||typeof b!="string")return e;var i,j,k,l,n,q,r,t,u=!0,v=m.isXML(d),w=[],x=b;do{a.exec(""),i=a.exec(x);if(i){x=i[3],w.push(i[1]);if(i[2]){l=i[3];break}}}while(i);if(w.length>1&&p.exec(b))if(w.length===2&&o.relative[w[0]])j=y(w[0]+w[1],d,f);else{j=o.relative[w[0]]?[d]:m(w.shift(),d);while(w.length)b=w.shift(),o.relative[b]&&(b+=w.shift()),j=y(b,j,f)}else{!f&&w.length>1&&d.nodeType===9&&!v&&o.match.ID.test(w[0])&&!o.match.ID.test(w[w.length-1])&&(n=m.find(w.shift(),d,v),d=n.expr?m.filter(n.expr,n.set)[0]:n.set[0]);if(d){n=f?{expr:w.pop(),set:s(f)}:m.find(w.pop(),w.length===1&&(w[0]==="~"||w[0]==="+")&&d.parentNode?d.parentNode:d,v),j=n.expr?m.filter(n.expr,n.set):n.set,w.length>0?k=s(j):u=!1;while(w.length)q=w.pop(),r=q,o.relative[q]?r=w.pop():q="",r==null&&(r=d),o.relative[q](k,r,v)}else k=w=[]}k||(k=j),k||m.error(q||b);if(g.call(k)==="[object Array]")if(!u)e.push.apply(e,k);else if(d&&d.nodeType===1)for(t=0;k[t]!=null;t++)k[t]&&(k[t]===!0||k[t].nodeType===1&&m.contains(d,k[t]))&&e.push(j[t]);else for(t=0;k[t]!=null;t++)k[t]&&k[t].nodeType===1&&e.push(j[t]);else s(k,e);l&&(m(l,h,e,f),m.uniqueSort(e));return e};m.uniqueSort=function(a){if(u){h=i,a.sort(u);if(h)for(var b=1;b<a.length;b++)a[b]===a[b-1]&&a.splice(b--,1)}return a},m.matches=function(a,b){return m(a,null,null,b)},m.matchesSelector=function(a,b){return m(b,null,null,[a]).length>0},m.find=function(a,b,c){var d,e,f,g,h,i;if(!a)return[];for(e=0,f=o.order.length;e<f;e++){h=o.order[e];if(g=o.leftMatch[h].exec(a)){i=g[1],g.splice(1,1);if(i.substr(i.length-1)!=="\\"){g[1]=(g[1]||"").replace(j,""),d=o.find[h](g,b,c);if(d!=null){a=a.replace(o.match[h],"");break}}}}d||(d=typeof b.getElementsByTagName!="undefined"?b.getElementsByTagName("*"):[]);return{set:d,expr:a}},m.filter=function(a,c,d,e){var f,g,h,i,j,k,l,n,p,q=a,r=[],s=c,t=c&&c[0]&&m.isXML(c[0]);while(a&&c.length){for(h in o.filter)if((f=o.leftMatch[h].exec(a))!=null&&f[2]){k=o.filter[h],l=f[1],g=!1,f.splice(1,1);if(l.substr(l.length-1)==="\\")continue;s===r&&(r=[]);if(o.preFilter[h]){f=o.preFilter[h](f,s,d,r,e,t);if(!f)g=i=!0;else if(f===!0)continue}if(f)for(n=0;(j=s[n])!=null;n++)j&&(i=k(j,f,n,s),p=e^i,d&&i!=null?p?g=!0:s[n]=!1:p&&(r.push(j),g=!0));if(i!==b){d||(s=r),a=a.replace(o.match[h],"");if(!g)return[];break}}if(a===q)if(g==null)m.error(a);else break;q=a}return s},m.error=function(a){throw new Error("Syntax error, unrecognized expression: "+a)};var n=m.getText=function(a){var b,c,d=a.nodeType,e="";if(d){if(d===1||d===9){if(typeof a.textContent=="string")return a.textContent;if(typeof a.innerText=="string")return a.innerText.replace(k,"");for(a=a.firstChild;a;a=a.nextSibling)e+=n(a)}else if(d===3||d===4)return a.nodeValue}else for(b=0;c=a[b];b++)c.nodeType!==8&&(e+=n(c));return e},o=m.selectors={order:["ID","NAME","TAG"],match:{ID:/#((?:[\w\u00c0-\uFFFF\-]|\\.)+)/,CLASS:/\.((?:[\w\u00c0-\uFFFF\-]|\\.)+)/,NAME:/\[name=['"]*((?:[\w\u00c0-\uFFFF\-]|\\.)+)['"]*\]/,ATTR:/\[\s*((?:[\w\u00c0-\uFFFF\-]|\\.)+)\s*(?:(\S?=)\s*(?:(['"])(.*?)\3|(#?(?:[\w\u00c0-\uFFFF\-]|\\.)*)|)|)\s*\]/,TAG:/^((?:[\w\u00c0-\uFFFF\*\-]|\\.)+)/,CHILD:/:(only|nth|last|first)-child(?:\(\s*(even|odd|(?:[+\-]?\d+|(?:[+\-]?\d*)?n\s*(?:[+\-]\s*\d+)?))\s*\))?/,POS:/:(nth|eq|gt|lt|first|last|even|odd)(?:\((\d*)\))?(?=[^\-]|$)/,PSEUDO:/:((?:[\w\u00c0-\uFFFF\-]|\\.)+)(?:\((['"]?)((?:\([^\)]+\)|[^\(\)]*)+)\2\))?/},leftMatch:{},attrMap:{"class":"className","for":"htmlFor"},attrHandle:{href:function(a){return a.getAttribute("href")},type:function(a){return a.getAttribute("type")}},relative:{"+":function(a,b){var c=typeof b=="string",d=c&&!l.test(b),e=c&&!d;d&&(b=b.toLowerCase());for(var f=0,g=a.length,h;f<g;f++)if(h=a[f]){while((h=h.previousSibling)&&h.nodeType!==1);a[f]=e||h&&h.nodeName.toLowerCase()===b?h||!1:h===b}e&&m.filter(b,a,!0)},">":function(a,b){var c,d=typeof b=="string",e=0,f=a.length;if(d&&!l.test(b)){b=b.toLowerCase();for(;e<f;e++){c=a[e];if(c){var g=c.parentNode;a[e]=g.nodeName.toLowerCase()===b?g:!1}}}else{for(;e<f;e++)c=a[e],c&&(a[e]=d?c.parentNode:c.parentNode===b);d&&m.filter(b,a,!0)}},"":function(a,b,c){var d,f=e++,g=x;typeof b=="string"&&!l.test(b)&&(b=b.toLowerCase(),d=b,g=w),g("parentNode",b,f,a,d,c)},"~":function(a,b,c){var d,f=e++,g=x;typeof b=="string"&&!l.test(b)&&(b=b.toLowerCase(),d=b,g=w),g("previousSibling",b,f,a,d,c)}},find:{ID:function(a,b,c){if(typeof b.getElementById!="undefined"&&!c){var d=b.getElementById(a[1]);return d&&d.parentNode?[d]:[]}},NAME:function(a,b){if(typeof b.getElementsByName!="undefined"){var c=[],d=b.getElementsByName(a[1]);for(var e=0,f=d.length;e<f;e++)d[e].getAttribute("name")===a[1]&&c.push(d[e]);return c.length===0?null:c}},TAG:function(a,b){if(typeof b.getElementsByTagName!="undefined")return b.getElementsByTagName(a[1])}},preFilter:{CLASS:function(a,b,c,d,e,f){a=" "+a[1].replace(j,"")+" ";if(f)return a;for(var g=0,h;(h=b[g])!=null;g++)h&&(e^(h.className&&(" "+h.className+" ").replace(/[\t\n\r]/g," ").indexOf(a)>=0)?c||d.push(h):c&&(b[g]=!1));return!1},ID:function(a){return a[1].replace(j,"")},TAG:function(a,b){return a[1].replace(j,"").toLowerCase()},CHILD:function(a){if(a[1]==="nth"){a[2]||m.error(a[0]),a[2]=a[2].replace(/^\+|\s*/g,"");var b=/(-?)(\d*)(?:n([+\-]?\d*))?/.exec(a[2]==="even"&&"2n"||a[2]==="odd"&&"2n+1"||!/\D/.test(a[2])&&"0n+"+a[2]||a[2]);a[2]=b[1]+(b[2]||1)-0,a[3]=b[3]-0}else a[2]&&m.error(a[0]);a[0]=e++;return a},ATTR:function(a,b,c,d,e,f){var g=a[1]=a[1].replace(j,"");!f&&o.attrMap[g]&&(a[1]=o.attrMap[g]),a[4]=(a[4]||a[5]||"").replace(j,""),a[2]==="~="&&(a[4]=" "+a[4]+" ");return a},PSEUDO:function(b,c,d,e,f){if(b[1]==="not")if((a.exec(b[3])||"").length>1||/^\w/.test(b[3]))b[3]=m(b[3],null,null,c);else{var g=m.filter(b[3],c,d,!0^f);d||e.push.apply(e,g);return!1}else if(o.match.POS.test(b[0])||o.match.CHILD.test(b[0]))return!0;return b},POS:function(a){a.unshift(!0);return a}},filters:{enabled:function(a){return a.disabled===!1&&a.type!=="hidden"},disabled:function(a){return a.disabled===!0},checked:function(a){return a.checked===!0},selected:function(a){a.parentNode&&a.parentNode.selectedIndex;return a.selected===!0},parent:function(a){return!!a.firstChild},empty:function(a){return!a.firstChild},has:function(a,b,c){return!!m(c[3],a).length},header:function(a){return/h\d/i.test(a.nodeName)},text:function(a){var b=a.getAttribute("type"),c=a.type;return a.nodeName.toLowerCase()==="input"&&"text"===c&&(b===c||b===null)},radio:function(a){return a.nodeName.toLowerCase()==="input"&&"radio"===a.type},checkbox:function(a){return a.nodeName.toLowerCase()==="input"&&"checkbox"===a.type},file:function(a){return a.nodeName.toLowerCase()==="input"&&"file"===a.type},password:function(a){return a.nodeName.toLowerCase()==="input"&&"password"===a.type},submit:function(a){var b=a.nodeName.toLowerCase();return(b==="input"||b==="button")&&"submit"===a.type},image:function(a){return a.nodeName.toLowerCase()==="input"&&"image"===a.type},reset:function(a){var b=a.nodeName.toLowerCase();return(b==="input"||b==="button")&&"reset"===a.type},button:function(a){var b=a.nodeName.toLowerCase();return b==="input"&&"button"===a.type||b==="button"},input:function(a){return/input|select|textarea|button/i.test(a.nodeName)},focus:function(a){return a===a.ownerDocument.activeElement}},setFilters:{first:function(a,b){return b===0},last:function(a,b,c,d){return b===d.length-1},even:function(a,b){return b%2===0},odd:function(a,b){return b%2===1},lt:function(a,b,c){return b<c[3]-0},gt:function(a,b,c){return b>c[3]-0},nth:function(a,b,c){return c[3]-0===b},eq:function(a,b,c){return c[3]-0===b}},filter:{PSEUDO:function(a,b,c,d){var e=b[1],f=o.filters[e];if(f)return f(a,c,b,d);if(e==="contains")return(a.textContent||a.innerText||n([a])||"").indexOf(b[3])>=0;if(e==="not"){var g=b[3];for(var h=0,i=g.length;h<i;h++)if(g[h]===a)return!1;return!0}m.error(e)},CHILD:function(a,b){var c,e,f,g,h,i,j,k=b[1],l=a;switch(k){case"only":case"first":while(l=l.previousSibling)if(l.nodeType===1)return!1;if(k==="first")return!0;l=a;case"last":while(l=l.nextSibling)if(l.nodeType===1)return!1;return!0;case"nth":c=b[2],e=b[3];if(c===1&&e===0)return!0;f=b[0],g=a.parentNode;if(g&&(g[d]!==f||!a.nodeIndex)){i=0;for(l=g.firstChild;l;l=l.nextSibling)l.nodeType===1&&(l.nodeIndex=++i);g[d]=f}j=a.nodeIndex-e;return c===0?j===0:j%c===0&&j/c>=0}},ID:function(a,b){return a.nodeType===1&&a.getAttribute("id")===b},TAG:function(a,b){return b==="*"&&a.nodeType===1||!!a.nodeName&&a.nodeName.toLowerCase()===b},CLASS:function(a,b){return(" "+(a.className||a.getAttribute("class"))+" ").indexOf(b)>-1},ATTR:function(a,b){var c=b[1],d=m.attr?m.attr(a,c):o.attrHandle[c]?o.attrHandle[c](a):a[c]!=null?a[c]:a.getAttribute(c),e=d+"",f=b[2],g=b[4];return d==null?f==="!=":!f&&m.attr?d!=null:f==="="?e===g:f==="*="?e.indexOf(g)>=0:f==="~="?(" "+e+" ").indexOf(g)>=0:g?f==="!="?e!==g:f==="^="?e.indexOf(g)===0:f==="$="?e.substr(e.length-g.length)===g:f==="|="?e===g||e.substr(0,g.length+1)===g+"-":!1:e&&d!==!1},POS:function(a,b,c,d){var e=b[2],f=o.setFilters[e];if(f)return f(a,c,b,d)}}},p=o.match.POS,q=function(a,b){return"\\"+(b-0+1)};for(var r in o.match)o.match[r]=new RegExp(o.match[r].source+/(?![^\[]*\])(?![^\(]*\))/.source),o.leftMatch[r]=new RegExp(/(^(?:.|\r|\n)*?)/.source+o.match[r].source.replace(/\\(\d+)/g,q));var s=function(a,b){a=Array.prototype.slice.call(a,0);if(b){b.push.apply(b,a);return b}return a};try{Array.prototype.slice.call(c.documentElement.childNodes,0)[0].nodeType}catch(t){s=function(a,b){var c=0,d=b||[];if(g.call(a)==="[object Array]")Array.prototype.push.apply(d,a);else if(typeof a.length=="number")for(var e=a.length;c<e;c++)d.push(a[c]);else for(;a[c];c++)d.push(a[c]);return d}}var u,v;c.documentElement.compareDocumentPosition?u=function(a,b){if(a===b){h=!0;return 0}if(!a.compareDocumentPosition||!b.compareDocumentPosition)return a.compareDocumentPosition?-1:1;return a.compareDocumentPosition(b)&4?-1:1}:(u=function(a,b){if(a===b){h=!0;return 0}if(a.sourceIndex&&b.sourceIndex)return a.sourceIndex-b.sourceIndex;var c,d,e=[],f=[],g=a.parentNode,i=b.parentNode,j=g;if(g===i)return v(a,b);if(!g)return-1;if(!i)return 1;while(j)e.unshift(j),j=j.parentNode;j=i;while(j)f.unshift(j),j=j.parentNode;c=e.length,d=f.length;for(var k=0;k<c&&k<d;k++)if(e[k]!==f[k])return v(e[k],f[k]);return k===c?v(a,f[k],-1):v(e[k],b,1)},v=function(a,b,c){if(a===b)return c;var d=a.nextSibling;while(d){if(d===b)return-1;d=d.nextSibling}return 1}),function(){var a=c.createElement("div"),d="script"+(new Date).getTime(),e=c.documentElement;a.innerHTML="<a name='"+d+"'/>",e.insertBefore(a,e.firstChild),c.getElementById(d)&&(o.find.ID=function(a,c,d){if(typeof c.getElementById!="undefined"&&!d){var e=c.getElementById(a[1]);return e?e.id===a[1]||typeof e.getAttributeNode!="undefined"&&e.getAttributeNode("id").nodeValue===a[1]?[e]:b:[]}},o.filter.ID=function(a,b){var c=typeof a.getAttributeNode!="undefined"&&a.getAttributeNode("id");return a.nodeType===1&&c&&c.nodeValue===b}),e.removeChild(a),e=a=null}(),function(){var a=c.createElement("div");a.appendChild(c.createComment("")),a.getElementsByTagName("*").length>0&&(o.find.TAG=function(a,b){var c=b.getElementsByTagName(a[1]);if(a[1]==="*"){var d=[];for(var e=0;c[e];e++)c[e].nodeType===1&&d.push(c[e]);c=d}return c}),a.innerHTML="<a href='#'></a>",a.firstChild&&typeof a.firstChild.getAttribute!="undefined"&&a.firstChild.getAttribute("href")!=="#"&&(o.attrHandle.href=function(a){return a.getAttribute("href",2)}),a=null}(),c.querySelectorAll&&function(){var a=m,b=c.createElement("div"),d="__sizzle__";b.innerHTML="<p class='TEST'></p>";if(!b.querySelectorAll||b.querySelectorAll(".TEST").length!==0){m=function(b,e,f,g){e=e||c;if(!g&&!m.isXML(e)){var h=/^(\w+$)|^\.([\w\-]+$)|^#([\w\-]+$)/.exec(b);if(h&&(e.nodeType===1||e.nodeType===9)){if(h[1])return s(e.getElementsByTagName(b),f);if(h[2]&&o.find.CLASS&&e.getElementsByClassName)return s(e.getElementsByClassName(h[2]),f)}if(e.nodeType===9){if(b==="body"&&e.body)return s([e.body],f);if(h&&h[3]){var i=e.getElementById(h[3]);if(!i||!i.parentNode)return s([],f);if(i.id===h[3])return s([i],f)}try{return s(e.querySelectorAll(b),f)}catch(j){}}else if(e.nodeType===1&&e.nodeName.toLowerCase()!=="object"){var k=e,l=e.getAttribute("id"),n=l||d,p=e.parentNode,q=/^\s*[+~]/.test(b);l?n=n.replace(/'/g,"\\$&"):e.setAttribute("id",n),q&&p&&(e=e.parentNode);try{if(!q||p)return s(e.querySelectorAll("[id='"+n+"'] "+b),f)}catch(r){}finally{l||k.removeAttribute("id")}}}return a(b,e,f,g)};for(var e in a)m[e]=a[e];b=null}}(),function(){var a=c.documentElement,b=a.matchesSelector||a.mozMatchesSelector||a.webkitMatchesSelector||a.msMatchesSelector;if(b){var d=!b.call(c.createElement("div"),"div"),e=!1;try{b.call(c.documentElement,"[test!='']:sizzle")}catch(f){e=!0}m.matchesSelector=function(a,c){c=c.replace(/\=\s*([^'"\]]*)\s*\]/g,"='$1']");if(!m.isXML(a))try{if(e||!o.match.PSEUDO.test(c)&&!/!=/.test(c)){var f=b.call(a,c);if(f||!d||a.document&&a.document.nodeType!==11)return f}}catch(g){}return m(c,null,null,[a]).length>0}}}(),function(){var a=c.createElement("div");a.innerHTML="<div class='test e'></div><div class='test'></div>";if(!!a.getElementsByClassName&&a.getElementsByClassName("e").length!==0){a.lastChild.className="e";if(a.getElementsByClassName("e").length===1)return;o.order.splice(1,0,"CLASS"),o.find.CLASS=function(a,b,c){if(typeof b.getElementsByClassName!="undefined"&&!c)return b.getElementsByClassName(a[1])},a=null}}(),c.documentElement.contains?m.contains=function(a,b){return a!==b&&(a.contains?a.contains(b):!0)}:c.documentElement.compareDocumentPosition?m.contains=function(a,b){return!!(a.compareDocumentPosition(b)&16)}:m.contains=function(){return!1},m.isXML=function(a){var b=(a?a.ownerDocument||a:0).documentElement;return b?b.nodeName!=="HTML":!1};var y=function(a,b,c){var d,e=[],f="",g=b.nodeType?[b]:b;while(d=o.match.PSEUDO.exec(a))f+=d[0],a=a.replace(o.match.PSEUDO,"");a=o.relative[a]?a+"*":a;for(var h=0,i=g.length;h<i;h++)m(a,g[h],e,c);return m.filter(f,e)};m.attr=f.attr,m.selectors.attrMap={},f.find=m,f.expr=m.selectors,f.expr[":"]=f.expr.filters,f.unique=m.uniqueSort,f.text=m.getText,f.isXMLDoc=m.isXML,f.contains=m.contains}();var L=/Until$/,M=/^(?:parents|prevUntil|prevAll)/,N=/,/,O=/^.[^:#\[\.,]*$/,P=Array.prototype.slice,Q=f.expr.match.POS,R={children:!0,contents:!0,next:!0,prev:!0};f.fn.extend({find:function(a){var b=this,c,d;if(typeof a!="string")return f(a).filter(function(){for(c=0,d=b.length;c<d;c++)if(f.contains(b[c],this))return!0});var e=this.pushStack("","find",a),g,h,i;for(c=0,d=this.length;c<d;c++){g=e.length,f.find(a,this[c],e);if(c>0)for(h=g;h<e.length;h++)for(i=0;i<g;i++)if(e[i]===e[h]){e.splice(h--,1);break}}return e},has:function(a){var b=f(a);return this.filter(function(){for(var a=0,c=b.length;a<c;a++)if(f.contains(this,b[a]))return!0})},not:function(a){return this.pushStack(T(this,a,!1),"not",a)},filter:function(a){return this.pushStack(T(this,a,!0),"filter",a)},is:function(a){return!!a&&(typeof a=="string"?Q.test(a)?f(a,this.context).index(this[0])>=0:f.filter(a,this).length>0:this.filter(a).length>0)},closest:function(a,b){var c=[],d,e,g=this[0];if(f.isArray(a)){var h=1;while(g&&g.ownerDocument&&g!==b){for(d=0;d<a.length;d++)f(g).is(a[d])&&c.push({selector:a[d],elem:g,level:h});g=g.parentNode,h++}return c}var i=Q.test(a)||typeof a!="string"?f(a,b||this.context):0;for(d=0,e=this.length;d<e;d++){g=this[d];while(g){if(i?i.index(g)>-1:f.find.matchesSelector(g,a)){c.push(g);break}g=g.parentNode;if(!g||!g.ownerDocument||g===b||g.nodeType===11)break}}c=c.length>1?f.unique(c):c;return this.pushStack(c,"closest",a)},index:function(a){if(!a)return this[0]&&this[0].parentNode?this.prevAll().length:-1;if(typeof a=="string")return f.inArray(this[0],f(a));return f.inArray(a.jquery?a[0]:a,this)},add:function(a,b){var c=typeof a=="string"?f(a,b):f.makeArray(a&&a.nodeType?[a]:a),d=f.merge(this.get(),c);return this.pushStack(S(c[0])||S(d[0])?d:f.unique(d))},andSelf:function(){return this.add(this.prevObject)}}),f.each({parent:function(a){var b=a.parentNode;return b&&b.nodeType!==11?b:null},parents:function(a){return f.dir(a,"parentNode")},parentsUntil:function(a,b,c){return f.dir(a,"parentNode",c)},next:function(a){return f.nth(a,2,"nextSibling")},prev:function(a){return f.nth(a,2,"previousSibling")},nextAll:function(a){return f.dir(a,"nextSibling")},prevAll:function(a){return f.dir(a,"previousSibling")},nextUntil:function(a,b,c){return f.dir(a,"nextSibling",c)},prevUntil:function(a,b,c){return f.dir(a,"previousSibling",c)},siblings:function(a){return f.sibling(a.parentNode.firstChild,a)},children:function(a){return f.sibling(a.firstChild)},contents:function(a){return f.nodeName(a,"iframe")?a.contentDocument||a.contentWindow.document:f.makeArray(a.childNodes)}},function(a,b){f.fn[a]=function(c,d){var e=f.map(this,b,c);L.test(a)||(d=c),d&&typeof d=="string"&&(e=f.filter(d,e)),e=this.length>1&&!R[a]?f.unique(e):e,(this.length>1||N.test(d))&&M.test(a)&&(e=e.reverse());return this.pushStack(e,a,P.call(arguments).join(","))}}),f.extend({filter:function(a,b,c){c&&(a=":not("+a+")");return b.length===1?f.find.matchesSelector(b[0],a)?[b[0]]:[]:f.find.matches(a,b)},dir:function(a,c,d){var e=[],g=a[c];while(g&&g.nodeType!==9&&(d===b||g.nodeType!==1||!f(g).is(d)))g.nodeType===1&&e.push(g),g=g[c];return e},nth:function(a,b,c,d){b=b||1;var e=0;for(;a;a=a[c])if(a.nodeType===1&&++e===b)break;return a},sibling:function(a,b){var c=[];for(;a;a=a.nextSibling)a.nodeType===1&&a!==b&&c.push(a);return c}});var V="abbr|article|aside|audio|canvas|datalist|details|figcaption|figure|footer|header|hgroup|mark|meter|nav|output|progress|section|summary|time|video",W=/ jQuery\d+="(?:\d+|null)"/g,X=/^\s+/,Y=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/ig,Z=/<([\w:]+)/,$=/<tbody/i,_=/<|&#?\w+;/,ba=/<(?:script|style)/i,bb=/<(?:script|object|embed|option|style)/i,bc=new RegExp("<(?:"+V+")","i"),bd=/checked\s*(?:[^=]|=\s*.checked.)/i,be=/\/(java|ecma)script/i,bf=/^\s*<!(?:\[CDATA\[|\-\-)/,bg={option:[1,"<select multiple='multiple'>","</select>"],legend:[1,"<fieldset>","</fieldset>"],thead:[1,"<table>","</table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],col:[2,"<table><tbody></tbody><colgroup>","</colgroup></table>"],area:[1,"<map>","</map>"],_default:[0,"",""]},bh=U(c);bg.optgroup=bg.option,bg.tbody=bg.tfoot=bg.colgroup=bg.caption=bg.thead,bg.th=bg.td,f.support.htmlSerialize||(bg._default=[1,"div<div>","</div>"]),f.fn.extend({text:function(a){if(f.isFunction(a))return this.each(function(b){var c=f(this);c.text(a.call(this,b,c.text()))});if(typeof a!="object"&&a!==b)return this.empty().append((this[0]&&this[0].ownerDocument||c).createTextNode(a));return f.text(this)},wrapAll:function(a){if(f.isFunction(a))return this.each(function(b){f(this).wrapAll(a.call(this,b))});if(this[0]){var b=f(a,this[0].ownerDocument).eq(0).clone(!0);this[0].parentNode&&b.insertBefore(this[0]),b.map(function(){var a=this;while(a.firstChild&&a.firstChild.nodeType===1)a=a.firstChild;return a}).append(this)}return this},wrapInner:function(a){if(f.isFunction(a))return this.each(function(b){f(this).wrapInner(a.call(this,b))});return this.each(function(){var b=f(this),c=b.contents();c.length?c.wrapAll(a):b.append(a)})},wrap:function(a){var b=f.isFunction(a);return this.each(function(c){f(this).wrapAll(b?a.call(this,c):a)})},unwrap:function(){return this.parent().each(function(){f.nodeName(this,"body")||f(this).replaceWith(this.childNodes)}).end()},append:function(){return this.domManip(arguments,!0,function(a){this.nodeType===1&&this.appendChild(a)})},prepend:function(){return this.domManip(arguments,!0,function(a){this.nodeType===1&&this.insertBefore(a,this.firstChild)})},before:function(){if(this[0]&&this[0].parentNode)return this.domManip(arguments,!1,function(a){this.parentNode.insertBefore(a,this)});if(arguments.length){var a=f.clean(arguments);a.push.apply(a,this.toArray());return this.pushStack(a,"before",arguments)}},after:function(){if(this[0]&&this[0].parentNode)return this.domManip(arguments,!1,function(a){this.parentNode.insertBefore(a,this.nextSibling)});if(arguments.length){var a=this.pushStack(this,"after",arguments);a.push.apply(a,f.clean(arguments));return a}},remove:function(a,b){for(var c=0,d;(d=this[c])!=null;c++)if(!a||f.filter(a,[d]).length)!b&&d.nodeType===1&&(f.cleanData(d.getElementsByTagName("*")),f.cleanData([d])),d.parentNode&&d.parentNode.removeChild(d);return this},empty:function()
{for(var a=0,b;(b=this[a])!=null;a++){b.nodeType===1&&f.cleanData(b.getElementsByTagName("*"));while(b.firstChild)b.removeChild(b.firstChild)}return this},clone:function(a,b){a=a==null?!1:a,b=b==null?a:b;return this.map(function(){return f.clone(this,a,b)})},html:function(a){if(a===b)return this[0]&&this[0].nodeType===1?this[0].innerHTML.replace(W,""):null;if(typeof a=="string"&&!ba.test(a)&&(f.support.leadingWhitespace||!X.test(a))&&!bg[(Z.exec(a)||["",""])[1].toLowerCase()]){a=a.replace(Y,"<$1></$2>");try{for(var c=0,d=this.length;c<d;c++)this[c].nodeType===1&&(f.cleanData(this[c].getElementsByTagName("*")),this[c].innerHTML=a)}catch(e){this.empty().append(a)}}else f.isFunction(a)?this.each(function(b){var c=f(this);c.html(a.call(this,b,c.html()))}):this.empty().append(a);return this},replaceWith:function(a){if(this[0]&&this[0].parentNode){if(f.isFunction(a))return this.each(function(b){var c=f(this),d=c.html();c.replaceWith(a.call(this,b,d))});typeof a!="string"&&(a=f(a).detach());return this.each(function(){var b=this.nextSibling,c=this.parentNode;f(this).remove(),b?f(b).before(a):f(c).append(a)})}return this.length?this.pushStack(f(f.isFunction(a)?a():a),"replaceWith",a):this},detach:function(a){return this.remove(a,!0)},domManip:function(a,c,d){var e,g,h,i,j=a[0],k=[];if(!f.support.checkClone&&arguments.length===3&&typeof j=="string"&&bd.test(j))return this.each(function(){f(this).domManip(a,c,d,!0)});if(f.isFunction(j))return this.each(function(e){var g=f(this);a[0]=j.call(this,e,c?g.html():b),g.domManip(a,c,d)});if(this[0]){i=j&&j.parentNode,f.support.parentNode&&i&&i.nodeType===11&&i.childNodes.length===this.length?e={fragment:i}:e=f.buildFragment(a,this,k),h=e.fragment,h.childNodes.length===1?g=h=h.firstChild:g=h.firstChild;if(g){c=c&&f.nodeName(g,"tr");for(var l=0,m=this.length,n=m-1;l<m;l++)d.call(c?bi(this[l],g):this[l],e.cacheable||m>1&&l<n?f.clone(h,!0,!0):h)}k.length&&f.each(k,bp)}return this}}),f.buildFragment=function(a,b,d){var e,g,h,i,j=a[0];b&&b[0]&&(i=b[0].ownerDocument||b[0]),i.createDocumentFragment||(i=c),a.length===1&&typeof j=="string"&&j.length<512&&i===c&&j.charAt(0)==="<"&&!bb.test(j)&&(f.support.checkClone||!bd.test(j))&&(f.support.html5Clone||!bc.test(j))&&(g=!0,h=f.fragments[j],h&&h!==1&&(e=h)),e||(e=i.createDocumentFragment(),f.clean(a,i,e,d)),g&&(f.fragments[j]=h?e:1);return{fragment:e,cacheable:g}},f.fragments={},f.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(a,b){f.fn[a]=function(c){var d=[],e=f(c),g=this.length===1&&this[0].parentNode;if(g&&g.nodeType===11&&g.childNodes.length===1&&e.length===1){e[b](this[0]);return this}for(var h=0,i=e.length;h<i;h++){var j=(h>0?this.clone(!0):this).get();f(e[h])[b](j),d=d.concat(j)}return this.pushStack(d,a,e.selector)}}),f.extend({clone:function(a,b,c){var d,e,g,h=f.support.html5Clone||!bc.test("<"+a.nodeName)?a.cloneNode(!0):bo(a);if((!f.support.noCloneEvent||!f.support.noCloneChecked)&&(a.nodeType===1||a.nodeType===11)&&!f.isXMLDoc(a)){bk(a,h),d=bl(a),e=bl(h);for(g=0;d[g];++g)e[g]&&bk(d[g],e[g])}if(b){bj(a,h);if(c){d=bl(a),e=bl(h);for(g=0;d[g];++g)bj(d[g],e[g])}}d=e=null;return h},clean:function(a,b,d,e){var g;b=b||c,typeof b.createElement=="undefined"&&(b=b.ownerDocument||b[0]&&b[0].ownerDocument||c);var h=[],i;for(var j=0,k;(k=a[j])!=null;j++){typeof k=="number"&&(k+="");if(!k)continue;if(typeof k=="string")if(!_.test(k))k=b.createTextNode(k);else{k=k.replace(Y,"<$1></$2>");var l=(Z.exec(k)||["",""])[1].toLowerCase(),m=bg[l]||bg._default,n=m[0],o=b.createElement("div");b===c?bh.appendChild(o):U(b).appendChild(o),o.innerHTML=m[1]+k+m[2];while(n--)o=o.lastChild;if(!f.support.tbody){var p=$.test(k),q=l==="table"&&!p?o.firstChild&&o.firstChild.childNodes:m[1]==="<table>"&&!p?o.childNodes:[];for(i=q.length-1;i>=0;--i)f.nodeName(q[i],"tbody")&&!q[i].childNodes.length&&q[i].parentNode.removeChild(q[i])}!f.support.leadingWhitespace&&X.test(k)&&o.insertBefore(b.createTextNode(X.exec(k)[0]),o.firstChild),k=o.childNodes}var r;if(!f.support.appendChecked)if(k[0]&&typeof (r=k.length)=="number")for(i=0;i<r;i++)bn(k[i]);else bn(k);k.nodeType?h.push(k):h=f.merge(h,k)}if(d){g=function(a){return!a.type||be.test(a.type)};for(j=0;h[j];j++)if(e&&f.nodeName(h[j],"script")&&(!h[j].type||h[j].type.toLowerCase()==="text/javascript"))e.push(h[j].parentNode?h[j].parentNode.removeChild(h[j]):h[j]);else{if(h[j].nodeType===1){var s=f.grep(h[j].getElementsByTagName("script"),g);h.splice.apply(h,[j+1,0].concat(s))}d.appendChild(h[j])}}return h},cleanData:function(a){var b,c,d=f.cache,e=f.event.special,g=f.support.deleteExpando;for(var h=0,i;(i=a[h])!=null;h++){if(i.nodeName&&f.noData[i.nodeName.toLowerCase()])continue;c=i[f.expando];if(c){b=d[c];if(b&&b.events){for(var j in b.events)e[j]?f.event.remove(i,j):f.removeEvent(i,j,b.handle);b.handle&&(b.handle.elem=null)}g?delete i[f.expando]:i.removeAttribute&&i.removeAttribute(f.expando),delete d[c]}}}});var bq=/alpha\([^)]*\)/i,br=/opacity=([^)]*)/,bs=/([A-Z]|^ms)/g,bt=/^-?\d+(?:px)?$/i,bu=/^-?\d/,bv=/^([\-+])=([\-+.\de]+)/,bw={position:"absolute",visibility:"hidden",display:"block"},bx=["Left","Right"],by=["Top","Bottom"],bz,bA,bB;f.fn.css=function(a,c){if(arguments.length===2&&c===b)return this;return f.access(this,a,c,!0,function(a,c,d){return d!==b?f.style(a,c,d):f.css(a,c)})},f.extend({cssHooks:{opacity:{get:function(a,b){if(b){var c=bz(a,"opacity","opacity");return c===""?"1":c}return a.style.opacity}}},cssNumber:{fillOpacity:!0,fontWeight:!0,lineHeight:!0,opacity:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{"float":f.support.cssFloat?"cssFloat":"styleFloat"},style:function(a,c,d,e){if(!!a&&a.nodeType!==3&&a.nodeType!==8&&!!a.style){var g,h,i=f.camelCase(c),j=a.style,k=f.cssHooks[i];c=f.cssProps[i]||i;if(d===b){if(k&&"get"in k&&(g=k.get(a,!1,e))!==b)return g;return j[c]}h=typeof d,h==="string"&&(g=bv.exec(d))&&(d=+(g[1]+1)*+g[2]+parseFloat(f.css(a,c)),h="number");if(d==null||h==="number"&&isNaN(d))return;h==="number"&&!f.cssNumber[i]&&(d+="px");if(!k||!("set"in k)||(d=k.set(a,d))!==b)try{j[c]=d}catch(l){}}},css:function(a,c,d){var e,g;c=f.camelCase(c),g=f.cssHooks[c],c=f.cssProps[c]||c,c==="cssFloat"&&(c="float");if(g&&"get"in g&&(e=g.get(a,!0,d))!==b)return e;if(bz)return bz(a,c)},swap:function(a,b,c){var d={};for(var e in b)d[e]=a.style[e],a.style[e]=b[e];c.call(a);for(e in b)a.style[e]=d[e]}}),f.curCSS=f.css,f.each(["height","width"],function(a,b){f.cssHooks[b]={get:function(a,c,d){var e;if(c){if(a.offsetWidth!==0)return bC(a,b,d);f.swap(a,bw,function(){e=bC(a,b,d)});return e}},set:function(a,b){if(!bt.test(b))return b;b=parseFloat(b);if(b>=0)return b+"px"}}}),f.support.opacity||(f.cssHooks.opacity={get:function(a,b){return br.test((b&&a.currentStyle?a.currentStyle.filter:a.style.filter)||"")?parseFloat(RegExp.$1)/100+"":b?"1":""},set:function(a,b){var c=a.style,d=a.currentStyle,e=f.isNumeric(b)?"alpha(opacity="+b*100+")":"",g=d&&d.filter||c.filter||"";c.zoom=1;if(b>=1&&f.trim(g.replace(bq,""))===""){c.removeAttribute("filter");if(d&&!d.filter)return}c.filter=bq.test(g)?g.replace(bq,e):g+" "+e}}),f(function(){f.support.reliableMarginRight||(f.cssHooks.marginRight={get:function(a,b){var c;f.swap(a,{display:"inline-block"},function(){b?c=bz(a,"margin-right","marginRight"):c=a.style.marginRight});return c}})}),c.defaultView&&c.defaultView.getComputedStyle&&(bA=function(a,b){var c,d,e;b=b.replace(bs,"-$1").toLowerCase(),(d=a.ownerDocument.defaultView)&&(e=d.getComputedStyle(a,null))&&(c=e.getPropertyValue(b),c===""&&!f.contains(a.ownerDocument.documentElement,a)&&(c=f.style(a,b)));return c}),c.documentElement.currentStyle&&(bB=function(a,b){var c,d,e,f=a.currentStyle&&a.currentStyle[b],g=a.style;f===null&&g&&(e=g[b])&&(f=e),!bt.test(f)&&bu.test(f)&&(c=g.left,d=a.runtimeStyle&&a.runtimeStyle.left,d&&(a.runtimeStyle.left=a.currentStyle.left),g.left=b==="fontSize"?"1em":f||0,f=g.pixelLeft+"px",g.left=c,d&&(a.runtimeStyle.left=d));return f===""?"auto":f}),bz=bA||bB,f.expr&&f.expr.filters&&(f.expr.filters.hidden=function(a){var b=a.offsetWidth,c=a.offsetHeight;return b===0&&c===0||!f.support.reliableHiddenOffsets&&(a.style&&a.style.display||f.css(a,"display"))==="none"},f.expr.filters.visible=function(a){return!f.expr.filters.hidden(a)});var bD=/%20/g,bE=/\[\]$/,bF=/\r?\n/g,bG=/#.*$/,bH=/^(.*?):[ \t]*([^\r\n]*)\r?$/mg,bI=/^(?:color|date|datetime|datetime-local|email|hidden|month|number|password|range|search|tel|text|time|url|week)$/i,bJ=/^(?:about|app|app\-storage|.+\-extension|file|res|widget):$/,bK=/^(?:GET|HEAD)$/,bL=/^\/\//,bM=/\?/,bN=/<script\b[^<]*(?:(?!<\/script>)<[^<]*)*<\/script>/gi,bO=/^(?:select|textarea)/i,bP=/\s+/,bQ=/([?&])_=[^&]*/,bR=/^([\w\+\.\-]+:)(?:\/\/([^\/?#:]*)(?::(\d+))?)?/,bS=f.fn.load,bT={},bU={},bV,bW,bX=["*/"]+["*"];try{bV=e.href}catch(bY){bV=c.createElement("a"),bV.href="",bV=bV.href}bW=bR.exec(bV.toLowerCase())||[],f.fn.extend({load:function(a,c,d){if(typeof a!="string"&&bS)return bS.apply(this,arguments);if(!this.length)return this;var e=a.indexOf(" ");if(e>=0){var g=a.slice(e,a.length);a=a.slice(0,e)}var h="GET";c&&(f.isFunction(c)?(d=c,c=b):typeof c=="object"&&(c=f.param(c,f.ajaxSettings.traditional),h="POST"));var i=this;f.ajax({url:a,type:h,dataType:"html",data:c,complete:function(a,b,c){c=a.responseText,a.isResolved()&&(a.done(function(a){c=a}),i.html(g?f("<div>").append(c.replace(bN,"")).find(g):c)),d&&i.each(d,[c,b,a])}});return this},serialize:function(){return f.param(this.serializeArray())},serializeArray:function(){return this.map(function(){return this.elements?f.makeArray(this.elements):this}).filter(function(){return this.name&&!this.disabled&&(this.checked||bO.test(this.nodeName)||bI.test(this.type))}).map(function(a,b){var c=f(this).val();return c==null?null:f.isArray(c)?f.map(c,function(a,c){return{name:b.name,value:a.replace(bF,"\r\n")}}):{name:b.name,value:c.replace(bF,"\r\n")}}).get()}}),f.each("ajaxStart ajaxStop ajaxComplete ajaxError ajaxSuccess ajaxSend".split(" "),function(a,b){f.fn[b]=function(a){return this.on(b,a)}}),f.each(["get","post"],function(a,c){f[c]=function(a,d,e,g){f.isFunction(d)&&(g=g||e,e=d,d=b);return f.ajax({type:c,url:a,data:d,success:e,dataType:g})}}),f.extend({getScript:function(a,c){return f.get(a,b,c,"script")},getJSON:function(a,b,c){return f.get(a,b,c,"json")},ajaxSetup:function(a,b){b?b_(a,f.ajaxSettings):(b=a,a=f.ajaxSettings),b_(a,b);return a},ajaxSettings:{url:bV,isLocal:bJ.test(bW[1]),global:!0,type:"GET",contentType:"application/x-www-form-urlencoded",processData:!0,async:!0,accepts:{xml:"application/xml, text/xml",html:"text/html",text:"text/plain",json:"application/json, text/javascript","*":bX},contents:{xml:/xml/,html:/html/,json:/json/},responseFields:{xml:"responseXML",text:"responseText"},converters:{"* text":a.String,"text html":!0,"text json":f.parseJSON,"text xml":f.parseXML},flatOptions:{context:!0,url:!0}},ajaxPrefilter:bZ(bT),ajaxTransport:bZ(bU),ajax:function(a,c){function w(a,c,l,m){if(s!==2){s=2,q&&clearTimeout(q),p=b,n=m||"",v.readyState=a>0?4:0;var o,r,u,w=c,x=l?cb(d,v,l):b,y,z;if(a>=200&&a<300||a===304){if(d.ifModified){if(y=v.getResponseHeader("Last-Modified"))f.lastModified[k]=y;if(z=v.getResponseHeader("Etag"))f.etag[k]=z}if(a===304)w="notmodified",o=!0;else try{r=cc(d,x),w="success",o=!0}catch(A){w="parsererror",u=A}}else{u=w;if(!w||a)w="error",a<0&&(a=0)}v.status=a,v.statusText=""+(c||w),o?h.resolveWith(e,[r,w,v]):h.rejectWith(e,[v,w,u]),v.statusCode(j),j=b,t&&g.trigger("ajax"+(o?"Success":"Error"),[v,d,o?r:u]),i.fireWith(e,[v,w]),t&&(g.trigger("ajaxComplete",[v,d]),--f.active||f.event.trigger("ajaxStop"))}}typeof a=="object"&&(c=a,a=b),c=c||{};var d=f.ajaxSetup({},c),e=d.context||d,g=e!==d&&(e.nodeType||e instanceof f)?f(e):f.event,h=f.Deferred(),i=f.Callbacks("once memory"),j=d.statusCode||{},k,l={},m={},n,o,p,q,r,s=0,t,u,v={readyState:0,setRequestHeader:function(a,b){if(!s){var c=a.toLowerCase();a=m[c]=m[c]||a,l[a]=b}return this},getAllResponseHeaders:function(){return s===2?n:null},getResponseHeader:function(a){var c;if(s===2){if(!o){o={};while(c=bH.exec(n))o[c[1].toLowerCase()]=c[2]}c=o[a.toLowerCase()]}return c===b?null:c},overrideMimeType:function(a){s||(d.mimeType=a);return this},abort:function(a){a=a||"abort",p&&p.abort(a),w(0,a);return this}};h.promise(v),v.success=v.done,v.error=v.fail,v.complete=i.add,v.statusCode=function(a){if(a){var b;if(s<2)for(b in a)j[b]=[j[b],a[b]];else b=a[v.status],v.then(b,b)}return this},d.url=((a||d.url)+"").replace(bG,"").replace(bL,bW[1]+"//"),d.dataTypes=f.trim(d.dataType||"*").toLowerCase().split(bP),d.crossDomain==null&&(r=bR.exec(d.url.toLowerCase()),d.crossDomain=!(!r||r[1]==bW[1]&&r[2]==bW[2]&&(r[3]||(r[1]==="http:"?80:443))==(bW[3]||(bW[1]==="http:"?80:443)))),d.data&&d.processData&&typeof d.data!="string"&&(d.data=f.param(d.data,d.traditional)),b$(bT,d,c,v);if(s===2)return!1;t=d.global,d.type=d.type.toUpperCase(),d.hasContent=!bK.test(d.type),t&&f.active++===0&&f.event.trigger("ajaxStart");if(!d.hasContent){d.data&&(d.url+=(bM.test(d.url)?"&":"?")+d.data,delete d.data),k=d.url;if(d.cache===!1){var x=f.now(),y=d.url.replace(bQ,"$1_="+x);d.url=y+(y===d.url?(bM.test(d.url)?"&":"?")+"_="+x:"")}}(d.data&&d.hasContent&&d.contentType!==!1||c.contentType)&&v.setRequestHeader("Content-Type",d.contentType),d.ifModified&&(k=k||d.url,f.lastModified[k]&&v.setRequestHeader("If-Modified-Since",f.lastModified[k]),f.etag[k]&&v.setRequestHeader("If-None-Match",f.etag[k])),v.setRequestHeader("Accept",d.dataTypes[0]&&d.accepts[d.dataTypes[0]]?d.accepts[d.dataTypes[0]]+(d.dataTypes[0]!=="*"?", "+bX+"; q=0.01":""):d.accepts["*"]);for(u in d.headers)v.setRequestHeader(u,d.headers[u]);if(d.beforeSend&&(d.beforeSend.call(e,v,d)===!1||s===2)){v.abort();return!1}for(u in{success:1,error:1,complete:1})v[u](d[u]);p=b$(bU,d,c,v);if(!p)w(-1,"No Transport");else{v.readyState=1,t&&g.trigger("ajaxSend",[v,d]),d.async&&d.timeout>0&&(q=setTimeout(function(){v.abort("timeout")},d.timeout));try{s=1,p.send(l,w)}catch(z){if(s<2)w(-1,z);else throw z}}return v},param:function(a,c){var d=[],e=function(a,b){b=f.isFunction(b)?b():b,d[d.length]=encodeURIComponent(a)+"="+encodeURIComponent(b)};c===b&&(c=f.ajaxSettings.traditional);if(f.isArray(a)||a.jquery&&!f.isPlainObject(a))f.each(a,function(){e(this.name,this.value)});else for(var g in a)ca(g,a[g],c,e);return d.join("&").replace(bD,"+")}}),f.extend({active:0,lastModified:{},etag:{}});var cd=f.now(),ce=/(\=)\?(&|$)|\?\?/i;f.ajaxSetup({jsonp:"callback",jsonpCallback:function(){return f.expando+"_"+cd++}}),f.ajaxPrefilter("json jsonp",function(b,c,d){var e=b.contentType==="application/x-www-form-urlencoded"&&typeof b.data=="string";if(b.dataTypes[0]==="jsonp"||b.jsonp!==!1&&(ce.test(b.url)||e&&ce.test(b.data))){var g,h=b.jsonpCallback=f.isFunction(b.jsonpCallback)?b.jsonpCallback():b.jsonpCallback,i=a[h],j=b.url,k=b.data,l="$1"+h+"$2";b.jsonp!==!1&&(j=j.replace(ce,l),b.url===j&&(e&&(k=k.replace(ce,l)),b.data===k&&(j+=(/\?/.test(j)?"&":"?")+b.jsonp+"="+h))),b.url=j,b.data=k,a[h]=function(a){g=[a]},d.always(function(){a[h]=i,g&&f.isFunction(i)&&a[h](g[0])}),b.converters["script json"]=function(){g||f.error(h+" was not called");return g[0]},b.dataTypes[0]="json";return"script"}}),f.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/javascript|ecmascript/},converters:{"text script":function(a){f.globalEval(a);return a}}}),f.ajaxPrefilter("script",function(a){a.cache===b&&(a.cache=!1),a.crossDomain&&(a.type="GET",a.global=!1)}),f.ajaxTransport("script",function(a){if(a.crossDomain){var d,e=c.head||c.getElementsByTagName("head")[0]||c.documentElement;return{send:function(f,g){d=c.createElement("script"),d.async="async",a.scriptCharset&&(d.charset=a.scriptCharset),d.src=a.url,d.onload=d.onreadystatechange=function(a,c){if(c||!d.readyState||/loaded|complete/.test(d.readyState))d.onload=d.onreadystatechange=null,e&&d.parentNode&&e.removeChild(d),d=b,c||g(200,"success")},e.insertBefore(d,e.firstChild)},abort:function(){d&&d.onload(0,1)}}}});var cf=a.ActiveXObject?function(){for(var a in ch)ch[a](0,1)}:!1,cg=0,ch;f.ajaxSettings.xhr=a.ActiveXObject?function(){return!this.isLocal&&ci()||cj()}:ci,function(a){f.extend(f.support,{ajax:!!a,cors:!!a&&"withCredentials"in a})}(f.ajaxSettings.xhr()),f.support.ajax&&f.ajaxTransport(function(c){if(!c.crossDomain||f.support.cors){var d;return{send:function(e,g){var h=c.xhr(),i,j;c.username?h.open(c.type,c.url,c.async,c.username,c.password):h.open(c.type,c.url,c.async);if(c.xhrFields)for(j in c.xhrFields)h[j]=c.xhrFields[j];c.mimeType&&h.overrideMimeType&&h.overrideMimeType(c.mimeType),!c.crossDomain&&!e["X-Requested-With"]&&(e["X-Requested-With"]="XMLHttpRequest");try{for(j in e)h.setRequestHeader(j,e[j])}catch(k){}h.send(c.hasContent&&c.data||null),d=function(a,e){var j,k,l,m,n;try{if(d&&(e||h.readyState===4)){d=b,i&&(h.onreadystatechange=f.noop,cf&&delete ch[i]);if(e)h.readyState!==4&&h.abort();else{j=h.status,l=h.getAllResponseHeaders(),m={},n=h.responseXML,n&&n.documentElement&&(m.xml=n),m.text=h.responseText;try{k=h.statusText}catch(o){k=""}!j&&c.isLocal&&!c.crossDomain?j=m.text?200:404:j===1223&&(j=204)}}}catch(p){e||g(-1,p)}m&&g(j,k,m,l)},!c.async||h.readyState===4?d():(i=++cg,cf&&(ch||(ch={},f(a).unload(cf)),ch[i]=d),h.onreadystatechange=d)},abort:function(){d&&d(0,1)}}}});var ck={},cl,cm,cn=/^(?:toggle|show|hide)$/,co=/^([+\-]=)?([\d+.\-]+)([a-z%]*)$/i,cp,cq=[["height","marginTop","marginBottom","paddingTop","paddingBottom"],["width","marginLeft","marginRight","paddingLeft","paddingRight"],["opacity"]],cr;f.fn.extend({show:function(a,b,c){var d,e;if(a||a===0)return this.animate(cu("show",3),a,b,c);for(var g=0,h=this.length;g<h;g++)d=this[g],d.style&&(e=d.style.display,!f._data(d,"olddisplay")&&e==="none"&&(e=d.style.display=""),e===""&&f.css(d,"display")==="none"&&f._data(d,"olddisplay",cv(d.nodeName)));for(g=0;g<h;g++){d=this[g];if(d.style){e=d.style.display;if(e===""||e==="none")d.style.display=f._data(d,"olddisplay")||""}}return this},hide:function(a,b,c){if(a||a===0)return this.animate(cu("hide",3),a,b,c);var d,e,g=0,h=this.length;for(;g<h;g++)d=this[g],d.style&&(e=f.css(d,"display"),e!=="none"&&!f._data(d,"olddisplay")&&f._data(d,"olddisplay",e));for(g=0;g<h;g++)this[g].style&&(this[g].style.display="none");return this},_toggle:f.fn.toggle,toggle:function(a,b,c){var d=typeof a=="boolean";f.isFunction(a)&&f.isFunction(b)?this._toggle.apply(this,arguments):a==null||d?this.each(function(){var b=d?a:f(this).is(":hidden");f(this)[b?"show":"hide"]()}):this.animate(cu("toggle",3),a,b,c);return this},fadeTo:function(a,b,c,d){return this.filter(":hidden").css("opacity",0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){function g(){e.queue===!1&&f._mark(this);var b=f.extend({},e),c=this.nodeType===1,d=c&&f(this).is(":hidden"),g,h,i,j,k,l,m,n,o;b.animatedProperties={};for(i in a){g=f.camelCase(i),i!==g&&(a[g]=a[i],delete a[i]),h=a[g],f.isArray(h)?(b.animatedProperties[g]=h[1],h=a[g]=h[0]):b.animatedProperties[g]=b.specialEasing&&b.specialEasing[g]||b.easing||"swing";if(h==="hide"&&d||h==="show"&&!d)return b.complete.call(this);c&&(g==="height"||g==="width")&&(b.overflow=[this.style.overflow,this.style.overflowX,this.style.overflowY],f.css(this,"display")==="inline"&&f.css(this,"float")==="none"&&(!f.support.inlineBlockNeedsLayout||cv(this.nodeName)==="inline"?this.style.display="inline-block":this.style.zoom=1))}b.overflow!=null&&(this.style.overflow="hidden");for(i in a)j=new f.fx(this,b,i),h=a[i],cn.test(h)?(o=f._data(this,"toggle"+i)||(h==="toggle"?d?"show":"hide":0),o?(f._data(this,"toggle"+i,o==="show"?"hide":"show"),j[o]()):j[h]()):(k=co.exec(h),l=j.cur(),k?(m=parseFloat(k[2]),n=k[3]||(f.cssNumber[i]?"":"px"),n!=="px"&&(f.style(this,i,(m||1)+n),l=(m||1)/j.cur()*l,f.style(this,i,l+n)),k[1]&&(m=(k[1]==="-="?-1:1)*m+l),j.custom(l,m,n)):j.custom(l,h,""));return!0}var e=f.speed(b,c,d);if(f.isEmptyObject(a))return this.each(e.complete,[!1]);a=f.extend({},a);return e.queue===!1?this.each(g):this.queue(e.queue,g)},stop:function(a,c,d){typeof a!="string"&&(d=c,c=a,a=b),c&&a!==!1&&this.queue(a||"fx",[]);return this.each(function(){function h(a,b,c){var e=b[c];f.removeData(a,c,!0),e.stop(d)}var b,c=!1,e=f.timers,g=f._data(this);d||f._unmark(!0,this);if(a==null)for(b in g)g[b]&&g[b].stop&&b.indexOf(".run")===b.length-4&&h(this,g,b);else g[b=a+".run"]&&g[b].stop&&h(this,g,b);for(b=e.length;b--;)e[b].elem===this&&(a==null||e[b].queue===a)&&(d?e[b](!0):e[b].saveState(),c=!0,e.splice(b,1));(!d||!c)&&f.dequeue(this,a)})}}),f.each({slideDown:cu("show",1),slideUp:cu("hide",1),slideToggle:cu("toggle",1),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(a,b){f.fn[a]=function(a,c,d){return this.animate(b,a,c,d)}}),f.extend({speed:function(a,b,c){var d=a&&typeof a=="object"?f.extend({},a):{complete:c||!c&&b||f.isFunction(a)&&a,duration:a,easing:c&&b||b&&!f.isFunction(b)&&b};d.duration=f.fx.off?0:typeof d.duration=="number"?d.duration:d.duration in f.fx.speeds?f.fx.speeds[d.duration]:f.fx.speeds._default;if(d.queue==null||d.queue===!0)d.queue="fx";d.old=d.complete,d.complete=function(a){f.isFunction(d.old)&&d.old.call(this),d.queue?f.dequeue(this,d.queue):a!==!1&&f._unmark(this)};return d},easing:{linear:function(a,b,c,d){return c+d*a},swing:function(a,b,c,d){return(-Math.cos(a*Math.PI)/2+.5)*d+c}},timers:[],fx:function(a,b,c){this.options=b,this.elem=a,this.prop=c,b.orig=b.orig||{}}}),f.fx.prototype={update:function(){this.options.step&&this.options.step.call(this.elem,this.now,this),(f.fx.step[this.prop]||f.fx.step._default)(this)},cur:function(){if(this.elem[this.prop]!=null&&(!this.elem.style||this.elem.style[this.prop]==null))return this.elem[this.prop];var a,b=f.css(this.elem,this.prop);return isNaN(a=parseFloat(b))?!b||b==="auto"?0:b:a},custom:function(a,c,d){function h(a){return e.step(a)}var e=this,g=f.fx;this.startTime=cr||cs(),this.end=c,this.now=this.start=a,this.pos=this.state=0,this.unit=d||this.unit||(f.cssNumber[this.prop]?"":"px"),h.queue=this.options.queue,h.elem=this.elem,h.saveState=function(){e.options.hide&&f._data(e.elem,"fxshow"+e.prop)===b&&f._data(e.elem,"fxshow"+e.prop,e.start)},h()&&f.timers.push(h)&&!cp&&(cp=setInterval(g.tick,g.interval))},show:function(){var a=f._data(this.elem,"fxshow"+this.prop);this.options.orig[this.prop]=a||f.style(this.elem,this.prop),this.options.show=!0,a!==b?this.custom(this.cur(),a):this.custom(this.prop==="width"||this.prop==="height"?1:0,this.cur()),f(this.elem).show()},hide:function(){this.options.orig[this.prop]=f._data(this.elem,"fxshow"+this.prop)||f.style(this.elem,this.prop),this.options.hide=!0,this.custom(this.cur(),0)},step:function(a){var b,c,d,e=cr||cs(),g=!0,h=this.elem,i=this.options;if(a||e>=i.duration+this.startTime){this.now=this.end,this.pos=this.state=1,this.update(),i.animatedProperties[this.prop]=!0;for(b in i.animatedProperties)i.animatedProperties[b]!==!0&&(g=!1);if(g){i.overflow!=null&&!f.support.shrinkWrapBlocks&&f.each(["","X","Y"],function(a,b){h.style["overflow"+b]=i.overflow[a]}),i.hide&&f(h).hide();if(i.hide||i.show)for(b in i.animatedProperties)f.style(h,b,i.orig[b]),f.removeData(h,"fxshow"+b,!0),f.removeData(h,"toggle"+b,!0);d=i.complete,d&&(i.complete=!1,d.call(h))}return!1}i.duration==Infinity?this.now=e:(c=e-this.startTime,this.state=c/i.duration,this.pos=f.easing[i.animatedProperties[this.prop]](this.state,c,0,1,i.duration),this.now=this.start+(this.end-this.start)*this.pos),this.update();return!0}},f.extend(f.fx,{tick:function(){var a,b=f.timers,c=0;for(;c<b.length;c++)a=b[c],!a()&&b[c]===a&&b.splice(c--,1);b.length||f.fx.stop()},interval:13,stop:function(){clearInterval(cp),cp=null},speeds:{slow:600,fast:200,_default:400},step:{opacity:function(a){f.style(a.elem,"opacity",a.now)},_default:function(a){a.elem.style&&a.elem.style[a.prop]!=null?a.elem.style[a.prop]=a.now+a.unit:a.elem[a.prop]=a.now}}}),f.each(["width","height"],function(a,b){f.fx.step[b]=function(a){f.style(a.elem,b,Math.max(0,a.now)+a.unit)}}),f.expr&&f.expr.filters&&(f.expr.filters.animated=function(a){return f.grep(f.timers,function(b){return a===b.elem}).length});var cw=/^t(?:able|d|h)$/i,cx=/^(?:body|html)$/i;"getBoundingClientRect"in c.documentElement?f.fn.offset=function(a){var b=this[0],c;if(a)return this.each(function(b){f.offset.setOffset(this,a,b)});if(!b||!b.ownerDocument)return null;if(b===b.ownerDocument.body)return f.offset.bodyOffset(b);try{c=b.getBoundingClientRect()}catch(d){}var e=b.ownerDocument,g=e.documentElement;if(!c||!f.contains(g,b))return c?{top:c.top,left:c.left}:{top:0,left:0};var h=e.body,i=cy(e),j=g.clientTop||h.clientTop||0,k=g.clientLeft||h.clientLeft||0,l=i.pageYOffset||f.support.boxModel&&g.scrollTop||h.scrollTop,m=i.pageXOffset||f.support.boxModel&&g.scrollLeft||h.scrollLeft,n=c.top+l-j,o=c.left+m-k;return{top:n,left:o}}:f.fn.offset=function(a){var b=this[0];if(a)return this.each(function(b){f.offset.setOffset(this,a,b)});if(!b||!b.ownerDocument)return null;if(b===b.ownerDocument.body)return f.offset.bodyOffset(b);var c,d=b.offsetParent,e=b,g=b.ownerDocument,h=g.documentElement,i=g.body,j=g.defaultView,k=j?j.getComputedStyle(b,null):b.currentStyle,l=b.offsetTop,m=b.offsetLeft;while((b=b.parentNode)&&b!==i&&b!==h){if(f.support.fixedPosition&&k.position==="fixed")break;c=j?j.getComputedStyle(b,null):b.currentStyle,l-=b.scrollTop,m-=b.scrollLeft,b===d&&(l+=b.offsetTop,m+=b.offsetLeft,f.support.doesNotAddBorder&&(!f.support.doesAddBorderForTableAndCells||!cw.test(b.nodeName))&&(l+=parseFloat(c.borderTopWidth)||0,m+=parseFloat(c.borderLeftWidth)||0),e=d,d=b.offsetParent),f.support.subtractsBorderForOverflowNotVisible&&c.overflow!=="visible"&&(l+=parseFloat(c.borderTopWidth)||0,m+=parseFloat(c.borderLeftWidth)||0),k=c}if(k.position==="relative"||k.position==="static")l+=i.offsetTop,m+=i.offsetLeft;f.support.fixedPosition&&k.position==="fixed"&&(l+=Math.max(h.scrollTop,i.scrollTop),m+=Math.max(h.scrollLeft,i.scrollLeft));return{top:l,left:m}},f.offset={bodyOffset:function(a){var b=a.offsetTop,c=a.offsetLeft;f.support.doesNotIncludeMarginInBodyOffset&&(b+=parseFloat(f.css(a,"marginTop"))||0,c+=parseFloat(f.css(a,"marginLeft"))||0);return{top:b,left:c}},setOffset:function(a,b,c){var d=f.css(a,"position");d==="static"&&(a.style.position="relative");var e=f(a),g=e.offset(),h=f.css(a,"top"),i=f.css(a,"left"),j=(d==="absolute"||d==="fixed")&&f.inArray("auto",[h,i])>-1,k={},l={},m,n;j?(l=e.position(),m=l.top,n=l.left):(m=parseFloat(h)||0,n=parseFloat(i)||0),f.isFunction(b)&&(b=b.call(a,c,g)),b.top!=null&&(k.top=b.top-g.top+m),b.left!=null&&(k.left=b.left-g.left+n),"using"in b?b.using.call(a,k):e.css(k)}},f.fn.extend({position:function(){if(!this[0])return null;var a=this[0],b=this.offsetParent(),c=this.offset(),d=cx.test(b[0].nodeName)?{top:0,left:0}:b.offset();c.top-=parseFloat(f.css(a,"marginTop"))||0,c.left-=parseFloat(f.css(a,"marginLeft"))||0,d.top+=parseFloat(f.css(b[0],"borderTopWidth"))||0,d.left+=parseFloat(f.css(b[0],"borderLeftWidth"))||0;return{top:c.top-d.top,left:c.left-d.left}},offsetParent:function(){return this.map(function(){var a=this.offsetParent||c.body;while(a&&!cx.test(a.nodeName)&&f.css(a,"position")==="static")a=a.offsetParent;return a})}}),f.each(["Left","Top"],function(a,c){var d="scroll"+c;f.fn[d]=function(c){var e,g;if(c===b){e=this[0];if(!e)return null;g=cy(e);return g?"pageXOffset"in g?g[a?"pageYOffset":"pageXOffset"]:f.support.boxModel&&g.document.documentElement[d]||g.document.body[d]:e[d]}return this.each(function(){g=cy(this),g?g.scrollTo(a?f(g).scrollLeft():c,a?c:f(g).scrollTop()):this[d]=c})}}),f.each(["Height","Width"],function(a,c){var d=c.toLowerCase();f.fn["inner"+c]=function(){var a=this[0];return a?a.style?parseFloat(f.css(a,d,"padding")):this[d]():null},f.fn["outer"+c]=function(a){var b=this[0];return b?b.style?parseFloat(f.css(b,d,a?"margin":"border")):this[d]():null},f.fn[d]=function(a){var e=this[0];if(!e)return a==null?null:this;if(f.isFunction(a))return this.each(function(b){var c=f(this);c[d](a.call(this,b,c[d]()))});if(f.isWindow(e)){var g=e.document.documentElement["client"+c],h=e.document.body;return e.document.compatMode==="CSS1Compat"&&g||h&&h["client"+c]||g}if(e.nodeType===9)return Math.max(e.documentElement["client"+c],e.body["scroll"+c],e.documentElement["scroll"+c],e.body["offset"+c],e.documentElement["offset"+c]);if(a===b){var i=f.css(e,d),j=parseFloat(i);return f.isNumeric(j)?j:i}return this.css(d,typeof a=="string"?a:a+"px")}}),a.jQuery=a.$=f,typeof define=="function"&&define.amd&&define.amd.jQuery&&define("jquery",[],function(){return f})})(window);'
jsList = [onejsn, twojsn, threejsn, fourjsn, fivejsn, sixjsn, sevenjsn, eightjsn, ninejsn, tenjsn]
jsData = [onejsd, twojsd, threejsd, fourjsd, fivejsd, sixjsd, sevenjsd, eightjsd, ninejsd, tenjsd]
for item in jsList:
a = open(prevram+'/js/'+item, 'w')
b = jsData[jsList.index(item)]
a.write(b.decode('base64'))
a.close()
##################################################
#This is the main report web page generated.
tfpage = '<html>\n<head>\n<style>body{background-color:#404040;}iframe {overflow-x:hidden;width:100%;height:95%;background-color:#FFFFFF;}.main {width:100%;height:100%;}.menuBar {width:100%;height:5%;display:bloolor:#k;top:0;left:0;background-color:#000;}.bmenuBar {width:33.33333%;height:5%;bottom:0px;background-color:#404040;position:absolute;left:33.33333%;}.menuSel {width:33.33333%;height:100%;float:left;color:#2E9AFE;font-weight:bold;}.bmenuSel {width:100%;height:100%;color:#0B0B61;font-weight:bold;}</style><title>Test Page!</title><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /> \r<script type="text/javascript" src="js/jquery-1.7.1.min.js"></script>\r<script type="text/javascript" src="js/jquery-ui-1.8.17.custom.min.js"></script>\r<script type="text/javascript" src="js/jspdf.js"></script>\r<script type="text/javascript" src="js/FileSaver.js"></script>\r<script type="text/javascript" src="js/BlobBuilder.js"></script>\r<script type="text/javascript" src="js/jspdf.plugin.addimage.js"></script>\r<script type="text/javascript" src="js/jspdf.plugin.standard_fonts_metrics.js"></script>\r<script type="text/javascript" src="js/jspdf.plugin.split_text_to_size.js"></script>\r<script type="text/javascript" src="js/jspdf.plugin.from_html.js"></script>\r<script type="text/javascript" src="js/basic.js"></script><script type="text/javascript">\r\rfunction genRep() {\rvar rep = new jsPDF();\rrep.setFontSize(20)\rrep.text(20, 8, "PyReview Generated Report")\rrep.setLineWidth(1.5)\rrep.line(20, 10, 190, 10)\rvar cnt = 0;\rvar cnt2 = 15;\rvar arrlen = genL.length;\rfor (var i = 0; i < arrlen; i++){\rvar spanId = "span"+genL[i];\rvar imgInfo = document.getElementById(spanId).innerHTML;\rvar imgArr = imgInfo.split("*");\rvar imgData = imgArr[0];\rvar imgPath = imgArr[1];\rvar imgHmd5 = imgArr[2];\rvar imgHsha = imgArr[3];\rrep.setFontSize(10);\r\rif (imgPath.length > 100){\rrep.setFontSize(7);\r}\rif (imgPath.length > 150){\rrep.setFontSize(4);\r}\rrep.addImage(imgData, "JPEG", 15, cnt2, 32, 32);\rrep.text(15, cnt2+36, "PATH: "+imgPath);\rrep.setFontSize(10);\rrep.text(15, cnt2+40, "MD5: "+imgHmd5);\rrep.text(15, cnt2+44, "SHA1: "+imgHsha);\rcnt = cnt + 1;\rcnt2 = cnt2 + 45;\rif (cnt % 5 === 0)\r{\rcnt2 = 15;\rrep.addPage();\r}\r}\rrep.save("Report.pdf");\r}\rgenL = new Array();\rpageNo = 0;\rfunction chgSrc(repSelect) {\rdocument.getElementById("framePage").src=(repSelect);\rpageNo = document.getElementById("selOpt").selectedIndex;\r}\rfunction prevP() {\rif(pageNo > 0) { pageNo--; }\rvar baseUrl = document.getElementById("baseurl").innerHTML;\rvar prevEl = document.getElementById("framePage");\rprevEl.src = baseUrl + pageNo + ".html";\rvar selOpt = document.getElementById("selOpt");\rselOpt.selectedIndex=pageNo;\r}\rfunction nextP() {\rvar lPageNo = document.getElementById("lPageNo").innerHTML;\rif(pageNo<lPageNo) { pageNo++; }\rvar baseUrl = document.getElementById("baseurl").innerHTML;\rvar nextEl = document.getElementById("framePage");\rnextEl.src = baseUrl + pageNo + ".html";\rvar selOpt = document.getElementById("selOpt");\rselOpt.selectedIndex=pageNo;\r}\r</script></head><body><center><div class="main"><div class="menuBar"><div class="menuSel">Preview Report</div><div class="menuSel"><a href="'+prevram+'/html/log.html">Log</a></div><div class="menuSel"><input type="button" onClick="genRep()" value="Generate Report"></div></div><iframe src="'+prevram+'/html/page0.html" frameBorder="0" id="framePage"></iframe><div class="bmenuBar"><div class="bmenuSel"><input type="button" onClick="prevP()" value="Previous"><select id="selOpt">'
cOpts = ''
fOpts = ''
##################################################
#This is a iframe page that is used in the main report web page, these are generated per 1,000 thumbnails.
topP = '<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><style>td\r{\rborder: 2px solid #0B0B61;\rwidth:150px;\rheight:150px;\r}\r.topImg {\rwidth:100%;\rheight:129px;\r}\r.botChk {\rwidth:100%;\rheight:21px;\r}\rimg {\rfloat:left;\r}\rinput {\rfloat:right;\r}\r</style><script type="text/javascript">\rfunction repGenChk(valNam) {\rvar chkN = valNam.id;\rif (parent.genL.indexOf(chkN)>=0) { var index = parent.genL.indexOf(chkN); parent.genL.splice(index, 1);}\relse { parent.genL.push(chkN); }\r}\rwindow.onload = function chkSet() {\rfor (var i = 0; i < parent.genL.length; i++) {\rif (document.getElementById(parent.genL[i]) != null) { document.getElementById(parent.genL[i]).checked=true; }\r}\r}\rfunction fillCans() {\rvar cnt = document.getElementById("pgCnt").innerHTML;\rvar cnt = cnt.split("-");\rvar cnt1 = cnt[0];\rvar cnt2 = cnt[1];\rfor (var i=cnt1; i <= cnt2; i++) {\r(function(iterable){\rvar c = document.getElementById("can"+iterable);\rvar ctx = c.getContext("2d");\rctx.fillStyle="#FFFFFF";\rctx.fillRect(0,0,128,128);\rvar image = new Image();\rvar imgSrc = parent.document.getElementById("span"+iterable).innerHTML;\rimgSrc = imgSrc.split("*");\rimage.onload = function() {\rctx.drawImage(image, 0, 0);\r};\rimage.src = imgSrc[0];\r})(i);\r}\r}\r</script></head><body onload="fillCans()"><center><table><tr>'
midP = '</table><hr><br /><br />'
botP = '</center></body></html>'
print 'Generating report...'
##################################################
#Here we create thumbnails for each item in the filelist, then do some hashing for each item and create some inline HTML data for the main page which is used in the generation of the pdf report.
for item in filelist:
try:
alti = item.split('/')
alti[0:3] = []
alti = 'root/'+'/'.join(alti)
thumb = Image.open(item)
thumb.thumbnail(size, Image.ANTIALIAS)
imgbuf = StringIO()
thumb.convert('RGB').save(imgbuf, "JPEG")
imgb64 = imgbuf.getvalue()
imgb64e = 'data:image/jpeg;base64,'+base64.b64encode(imgb64)
m = hashlib.md5()
m.update(open(item, 'rb').read())
altmd5 = m.hexdigest()
s = hashlib.sha1()
s.update(open(item, 'rb').read())
altsha = s.hexdigest()
repb = '<td>\r<a href="'+item+'"><div class="topImg">\r<canvas id="can'+str(cnt)+'" width="128" height="128" title="'+str(alti)+'"></canvas>\r</a>\r</div>\r<div class=botChk">\r<input type="checkbox" id="'+str(cnt)+'" onClick="repGenChk(this);">\r</div>\r</td>'
repm = repm+repb
span = span+'\r<span id="span'+str(cnt)+'" style="display:none;">'+imgb64e+'*'+alti+'*'+altmd5+'*'+altsha+'</span>\r'
if cnt % 8 == 0:
repm = repm+'\r</tr>\r<tr>\r'
if cnt % 1000 == 0:
cOpts = '\r<option id="opt'+str(ptit)+'" onClick="chgSrc('+"'"+prevram+'/html/page'+str(ptit)+'.html'+"'"+');">Page '+str(ptit+1)+'\r</option>'
fOpts = fOpts+cOpts
repm = repm+'</tr>'
repp = topP+repm+midP+'<span id="pgCnt" style="display:none;">'+str(cnt-999)+'-'+str(cnt)+'</span>'+botP
reportw = open(prevram+'/html/page'+str(ptit)+'.html', 'w')
reportw.write(repp)
reportw.close()
repm = ''
ptit = ptit+1
cnt = cnt+1
except IOError:
ecnt = ecnt+1
eList.append(alti+": IOError")
except IndexError:
ecnt = ecnt+1
eList.append(alti+": IndexError")
except SyntaxError:
ecnt = ecnt+1
eList.append(alti+": SyntaxError")
except KeyboardInterrupt:
print "Caught keyboard interrupt. Mounted evidence and script generated files are likely located in /tmp/ under prevramX and prevmntX directories."
##################################################
#More creation of the web pages and report, basically gluing all the HTML data together and writing the actual report HTML files down to the mounted ram disk.
repe = ''
for item in eList:
repe = repe+'<br>'+item
if cnt <= 1000:
repp = topP+repm+midP+'<span id="pgCnt" style="display:none;">1-'+str(cnt-1)+'</span>'+botP
reportw = open(prevram+'/html/page'+str(ptit)+'.html', 'w')
reportw.write(repp)
reportw.close()
##################################################
#bfpage var. is the selection menu on the bottom of the preview html page.
bfpage = '</select>\r<input type="button" onClick="nextP()" value="Next"></div></div></div></center><span id="baseurl" style="display:none;">'+prevram+'/html/page</span>\r<span id="lPageNo" style="display:none;">'+str(ptit)+'</span>\r'+span+'</body>\r</html>'
cOpts = '\r<option id="opt'+str(ptit)+'" onClick="chgSrc('+"'"+prevram+'/html/page'+str(ptit)+'.html'+"'"+');">Page '+str(ptit+1)+'</option>'
fOpts = fOpts+cOpts
frepp = tfpage+fOpts+bfpage
freportw = open(prevram+'/report.html', 'w')
freportw.write(frepp)
freportw.close()
ereportw = open(prevram+'/html/log.html', 'w')
ereportw.write(repe)
ereportw.close()
#################################################
#This portion is cleanup/finishing. The script will run on selected volume filesystems, if they are unavailable/cannot be mounted, or the RAMDISK cannot be create/used, or some other error prevents the program from gathering evidence it will attempt to run some cleanup procedures. Such as unmounting directorys created from previous runs of the script, deleting defunct prior mount point, etc etc.
if cnt-1 == 0:
print "No items were added to the report, either the volume selected is mounted or there were no detectable image files."
print "\n"
print "Unmounting volumes mounted by script and cleaning up."
print "\n"
print "Sometimes after cleaning up the script will work again, running this script again MIGHT work."
mounts = os.listdir('/tmp/')
for item in mounts:
if item.startswith("prev"):
umpath = '/tmp/'+item
subprocess.Popen(["umount", "-f", umpath], stderr=open(os.devnull, 'wb'))
subprocess.Popen(["rm", "-r", umpath], stderr=open(os.devnull, 'wb'))
else:
print str(cnt-1)+' total items added to preview report...'
print str(ecnt)+' total items skipped due to error. A list of errored items is detailed in the "Log" link on the preview page.'
opn = shlex.split('firefox '+prevram+'/report.html')
subprocess.Popen(opn)
| 2,480.798354
| 281,216
| 0.991289
| 2,543
| 602,834
| 234.986237
| 0.399921
| 0.000515
| 0.000281
| 0.000482
| 0.003846
| 0.003335
| 0.002867
| 0.002667
| 0.002341
| 0.002053
| 0
| 0.124087
| 0.002754
| 602,834
| 242
| 281,217
| 2,491.049587
| 0.869918
| 0.002244
| 0
| 0.237443
| 0
| 0.068493
| 0.991651
| 0.985417
| 0.013699
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0.041096
| null | null | 0.091324
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
883c1573eee46430176033480434d2df216f01bc
| 17,689
|
py
|
Python
|
traffic.py
|
winxin/micropython-tft-gui-
|
59b812b81be70e25d2ffd816ce9b544ea561e691
|
[
"MIT"
] | 73
|
2016-05-11T07:45:18.000Z
|
2021-12-13T13:39:04.000Z
|
traffic.py
|
winxin/micropython-tft-gui-
|
59b812b81be70e25d2ffd816ce9b544ea561e691
|
[
"MIT"
] | 2
|
2016-11-23T09:22:13.000Z
|
2021-02-05T08:51:27.000Z
|
traffic.py
|
winxin/micropython-tft-gui-
|
59b812b81be70e25d2ffd816ce9b544ea561e691
|
[
"MIT"
] | 11
|
2017-09-20T06:37:23.000Z
|
2021-04-24T14:29:00.000Z
|
# Code generated by bmp_to_icon.py
from uctypes import addressof
_icons = {
0: (
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xfb\x66\x00\x00\x00\x66\xbf'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\x83\x00\x00\x00\x00\x00\x00\x00\x38\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xfc\x60\x00\x01\x22\x44\x44\x44'
b'\x22\x10\x00\x06\xcf\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\x60\x00\x12\x44\x44\x44\x44\x44\x44\x44\x21\x00\x06\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xb0\x00\x24\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x42\x00\x0b\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xf6\x00\x14\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x41'
b'\x00\x6f\xff\xff\xff\xff\xff\xff\xff\xff\x30\x02\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x20\x03\xff\xff\xff\xff\xff'
b'\xff\xff\xf3\x01\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x00\x3f\xff\xff\xff\xff\xff\xff\x30\x14\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x41\x03\xff\xff'
b'\xff\xff\xff\xf6\x01\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x10\x6f\xff\xff\xff\xff\xb0\x04\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x40'
b'\x0b\xff\xff\xff\xff\x00\x24\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x42\x00\xff\xff\xff\xf6\x01\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x10\x6f\xff\xff\xc0\x04\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x40\x0c\xff\xff\x60'
b'\x24\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x42\x06\xff\xff\x00\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x00\xff'
b'\xf8\x02\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x20\x8f\xf3\x02\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x20\x3f\xf0\x04\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x40\x0f\xb0\x14\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x41\x0b\x60\x24\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x42\x08\x60\x24\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x42\x06\x30\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x03\x00'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x00\x00\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x00\x00\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x00\x00\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x00\x30\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x03\x60\x24\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x42\x06\x80\x24\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x42\x08\xb0\x14'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x41\x0b\xf0\x04\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x40\x0f'
b'\xf3\x02\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x20\x3f\xf9\x02\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x20\x9f\xff\x00\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x00\xff\xff\x60\x24\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x42\x06\xff\xff\xc0\x04\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x40\x0c\xff\xff\xf6\x01'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x10\x6f\xff\xff\xff\x00\x24\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x42\x00\xff\xff\xff'
b'\xff\xc0\x04\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x40\x0c\xff\xff\xff\xff\xf6\x00\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x00\x6f\xff'
b'\xff\xff\xff\xff\x60\x14\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x41\x06\xff\xff\xff\xff\xff\xff\xf3\x01\x44'
b'\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x00\x3f'
b'\xff\xff\xff\xff\xff\xff\xff\x60\x02\x44\x44\x44\x44\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x20\x06\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xf6\x00\x14\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x44\x41\x00'
b'\x6f\xff\xff\xff\xff\xff\xff\xff\xff\xff\xc0\x00\x24\x44\x44\x44'
b'\x44\x44\x44\x44\x44\x44\x42\x00\x0c\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\x60\x00\x12\x44\x44\x44\x44\x44\x44\x44\x21\x00'
b'\x06\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\x60\x00'
b'\x01\x22\x44\x44\x44\x22\x10\x00\x08\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\x83\x00\x00\x00\x00\x00\x00\x00'
b'\x38\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xfb\x66\x00\x00\x00\x66\xbf\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff'
),
1: (
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xfb\x66\x00\x00\x00\x66\xbf'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\x83\x00\x00\x00\x00\x00\x00\x00\x38\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xfc\x60\x00\x37\xee\xee\xee\xee'
b'\xee\x73\x00\x06\xcf\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\x60\x00\x7e\xee\xee\xee\xee\xee\xee\xee\xe7\x00\x06\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xb0\x00\x7e\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xe7\x00\x0b\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xf6\x00\x7e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe7'
b'\x00\x6f\xff\xff\xff\xff\xff\xff\xff\xff\x30\x3e\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe3\x03\xff\xff\xff\xff\xff'
b'\xff\xff\xf3\x03\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\x30\x3f\xff\xff\xff\xff\xff\xff\x30\x5e\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe5\x03\xff\xff'
b'\xff\xff\xff\xf6\x05\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\x50\x6f\xff\xff\xff\xff\xb0\x0e\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe0'
b'\x0b\xff\xff\xff\xff\x00\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\x00\xff\xff\xff\xf6\x07\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\x70\x6f\xff\xff\xc0\x3e\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe0\x0c\xff\xff\x60'
b'\x7e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xe7\x06\xff\xff\x03\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\x00\xff'
b'\xf8\x07\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\x70\x8f\xf3\x0e\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xe0\x3f\xf0\x3e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe3\x0f\xb0\x7e\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xe7\x0b\x60\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe7\x08\x60\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\x06\x30\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\x03\x00'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\x00\x00\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\x00\x00\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\x00\x00\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\x00\x30\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\x03\x60\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\x06\x80\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe7\x08\xb0\x7e'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xe7\x0b\xf0\x3e\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe3\x0f'
b'\xf3\x0e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xe0\x3f\xf9\x07\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\x70\x9f\xff\x00\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\x00\xff\xff\x60\x7e\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xe7\x06\xff\xff\xc0\x0e\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe0\x0c\xff\xff\xf6\x07'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\x70\x6f\xff\xff\xff\x00\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\x00\xff\xff\xff'
b'\xff\xc0\x0e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xe0\x0c\xff\xff\xff\xff\xf6\x03\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\x30\x6f\xff'
b'\xff\xff\xff\xff\x60\x5e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xe5\x06\xff\xff\xff\xff\xff\xff\xf3\x03\xee'
b'\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\x30\x3f'
b'\xff\xff\xff\xff\xff\xff\xff\x60\x07\xee\xee\xee\xee\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\x70\x06\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xf6\x00\x7e\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xee\xe7\x00'
b'\x6f\xff\xff\xff\xff\xff\xff\xff\xff\xff\xc0\x00\x7e\xee\xee\xee'
b'\xee\xee\xee\xee\xee\xee\xe7\x00\x0c\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\x60\x00\x7e\xee\xee\xee\xee\xee\xee\xee\xe7\x00'
b'\x06\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\x60\x00'
b'\x37\x7e\xee\xee\xee\xe7\x73\x00\x08\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\x83\x00\x00\x00\x00\x00\x00\x00'
b'\x38\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xfb\x66\x00\x00\x00\x66\xbf\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff'
),
2: (
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xfb\x66\x00\x00\x00\x66\xbf'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\x83\x00\x00\x00\x00\x00\x00\x00\x38\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xfc\x60\x00\x05\x7a\xdd\xdd\xdd'
b'\xa7\x50\x00\x06\xcf\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\x60\x00\x5a\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xa5\x00\x06\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xb0\x00\x5d\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xd5\x00\x0b\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xf6\x00\x5d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd5'
b'\x00\x6f\xff\xff\xff\xff\xff\xff\xff\xff\x30\x0a\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xa0\x03\xff\xff\xff\xff\xff'
b'\xff\xff\xf3\x03\xad\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xda\x30\x3f\xff\xff\xff\xff\xff\xff\x30\x3d\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd3\x03\xff\xff'
b'\xff\xff\xff\xf6\x03\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\x30\x6f\xff\xff\xff\xff\xb0\x0a\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xa0'
b'\x0b\xff\xff\xff\xff\x00\xad\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xda\x00\xff\xff\xff\xf6\x05\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\x50\x6f\xff\xff\xc0\x0d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd0\x0c\xff\xff\x60'
b'\x7d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xd5\x06\xff\xff\x00\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\x00\xff'
b'\xf8\x05\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\x50\x8f\xf3\x0a\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xa0\x3f\xf0\x0d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd0\x0f\xb0\x5d\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xd5\x0b\x60\x7d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd7\x06\x60\xad\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xda\x06\x30\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xda\x03\x00'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\x00\x00\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\x00\x00\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\x00\x00\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\x00\x30\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xda\x03\x60\xad\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xda\x06\x80\x7d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd7\x08\xb0\x5d'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xd5\x0b\xf0\x0d\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd0\x0f'
b'\xf3\x0a\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xa0\x3f\xf9\x05\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\x50\x9f\xff\x00\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\x00\xff\xff\x60\x7d\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xd5\x06\xff\xff\xc0\x0a\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xa0\x0c\xff\xff\xf6\x05'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\x50\x6f\xff\xff\xff\x00\x7d\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd7\x00\xff\xff\xff'
b'\xff\xc0\x0a\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xa0\x0c\xff\xff\xff\xff\xf6\x00\xad\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xda\x00\x6f\xff'
b'\xff\xff\xff\xff\x60\x3d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xd3\x06\xff\xff\xff\xff\xff\xff\xf3\x03\xad'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xda\x30\x3f'
b'\xff\xff\xff\xff\xff\xff\xff\x60\x07\xdd\xdd\xdd\xdd\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\x70\x06\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xf6\x00\x5d\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xd5\x00'
b'\x6f\xff\xff\xff\xff\xff\xff\xff\xff\xff\xc0\x00\x5d\xdd\xdd\xdd'
b'\xdd\xdd\xdd\xdd\xdd\xdd\xd5\x00\x0c\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\x60\x00\x5a\xdd\xdd\xdd\xdd\xdd\xdd\xdd\xa5\x00'
b'\x06\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\x60\x00'
b'\x05\x7a\xdd\xdd\xdd\xa7\x50\x00\x08\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xff\xff\xff\xff\xff\xff\x83\x00\x00\x00\x00\x00\x00\x00'
b'\x38\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff\xfb\x66\x00\x00\x00\x66\xbf\xff\xff\xff\xff\xff\xff\xff'
b'\xff\xff'
),
}
colortable = { 0: (
b'\x00\x06\x03\x04\x00\x07\x28\x00\x00\x00\x99\x00\x21\x2b\x2a\x00'
b'\x00\x00\xff\x00\x00\x59\x39\x00\x57\x5a\x58\x00\x00\x90\x6e\x00'
b'\x7e\x81\x80\x00\x87\x8a\x88\x00\x00\xb5\x31\x00\x9d\xa0\x9e\x00'
b'\xae\xb1\xaf\x00\x00\xfe\x0c\x00\x00\xff\xfd\x00\xfb\xff\xfd\x00')
}
width = 50
height = 50
colors = 4
def get_icon(icon_index = 0, color_index = 0):
return width, height, addressof(_icons[icon_index]), colors, addressof(colortable[color_index])
def draw(x, y, icon_index, draw_fct, color_index = 0):
draw_fct(x - width//2, y - height // 2, width, height, addressof(_icons[icon_index]), colors, addressof(colortable[color_index]))
| 66.5
| 133
| 0.679801
| 4,129
| 17,689
| 2.908452
| 0.031242
| 0.356233
| 0.467649
| 0.540595
| 0.941627
| 0.92389
| 0.911566
| 0.902573
| 0.883504
| 0.865851
| 0
| 0.166514
| 0.073153
| 17,689
| 265
| 134
| 66.750943
| 0.565965
| 0.001809
| 0
| 0.243243
| 1
| 0.918919
| 0.864167
| 0.862807
| 0
| 1
| 0
| 0
| 0
| 1
| 0.007722
| false
| 0
| 0.003861
| 0.003861
| 0.015444
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 14
|
8890e2064c8973e4acef332b676a6f9cb018d132
| 10,262
|
py
|
Python
|
cfgov/v1/tests/migrations/test_0142_migrate_pas_link_data_to_pagechooserblock.py
|
higs4281/cfgov-refresh
|
a02b193fb2373d443265c21845adf8a196e05675
|
[
"CC0-1.0"
] | 1
|
2019-11-26T20:18:22.000Z
|
2019-11-26T20:18:22.000Z
|
cfgov/v1/tests/migrations/test_0142_migrate_pas_link_data_to_pagechooserblock.py
|
higs4281/cfgov-refresh
|
a02b193fb2373d443265c21845adf8a196e05675
|
[
"CC0-1.0"
] | 8
|
2021-03-11T00:55:51.000Z
|
2022-02-13T21:10:14.000Z
|
cfgov/v1/tests/migrations/test_0142_migrate_pas_link_data_to_pagechooserblock.py
|
higs4281/cfgov-refresh
|
a02b193fb2373d443265c21845adf8a196e05675
|
[
"CC0-1.0"
] | 1
|
2019-12-28T14:04:07.000Z
|
2019-12-28T14:04:07.000Z
|
from importlib import import_module
from unittest import TestCase
from v1.models.base import CFGOVPage
from v1.tests.wagtail_pages.helpers import save_new_page
class TestMigration0142(TestCase):
@classmethod
def setUpClass(cls):
super(TestMigration0142, cls).setUpClass()
cls.migration = import_module(
'v1.migrations.0142_migrate_pas_link_data_to_pagechooserblock'
)
def test_forward_mapper_internal_pas_link(self):
# data comes from EmailSignup block inside FullWidthText on page 11358
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [{
'info': u'<p><a id="3775" linktype="page">PAS</a></p>',
'inline_info': True,
'required': True,
'label': u'Email address',
'btn_text': u'Sign up',
'placeholder': u'example@mail.com',
'type': u'email'
}],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 3775,
'form_field': [{
'type': u'email',
'inline_info': True,
'btn_text': u'Sign up',
'info': u'<p><a id="3775" linktype="page">PAS</a></p>',
'label': u'Email address',
'required': True,
'placeholder': u'example@mail.com'
}]
})
def test_forward_mapper_explicit_path_pas_link(self):
page = CFGOVPage(
title='Privacy Act statement',
slug='privacy-act-statement',
)
save_new_page(page)
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [{
'info': u'<p><a href="/privacy-act-statement/">PAS</a></p>',
'inline_info': True,
'required': True,
'label': u'Email address',
'btn_text': u'Sign up',
'placeholder': u'example@mail.com',
'type': u'email'
}],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': page.pk,
'form_field': [{
'type': u'email',
'inline_info': True,
'btn_text': u'Sign up',
'info': u'<p><a href="/privacy-act-statement/">PAS</a></p>',
'label': u'Email address',
'required': True,
'placeholder': u'example@mail.com'
}]
})
def test_forward_mapper_no_pas_link_gets_generic(self):
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [{
'info': u'<p>Who needs a disclaimer?</p>',
'inline_info': True,
'required': True,
'label': u'Email address',
'btn_text': u'Sign up',
'placeholder': u'example@mail.com',
'type': u'email'
}],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 1189,
'form_field': [{
'type': u'email',
'inline_info': True,
'btn_text': u'Sign up',
'info': u'<p>Who needs a disclaimer?</p>',
'label': u'Email address',
'required': True,
'placeholder': u'example@mail.com'
}]
})
def test_forward_mapper_no_info_gets_generic(self):
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [{
'inline_info': True,
'required': True,
'label': u'Email address',
'btn_text': u'Sign up',
'placeholder': u'example@mail.com',
'type': u'email'
}],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 1189,
'form_field': [{
'type': u'email',
'inline_info': True,
'btn_text': u'Sign up',
'label': u'Email address',
'required': True,
'placeholder': u'example@mail.com'
}]
})
def test_forward_mapper_empty_form_field_gets_generic(self):
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 1189,
'form_field': []
})
def test_forward_mapper_no_form_field_gets_generic(self):
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 1189,
})
def test_forward_mapper_wrong_generic_links_get_correct_generic_link(self):
self.maxDiff = None
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [{
'info': u'<a id="558" linktype="page">Privacy Policy</a>',
'inline_info': True,
'required': True,
'label': u'Email address',
'btn_text': u'Sign up',
'placeholder': u'example@mail.com',
'type': u'email'
}],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 1189,
'form_field': [{
'type': u'email',
'inline_info': True,
'btn_text': u'Sign up',
'info': u'<a id="558" linktype="page">Privacy Policy</a>',
'label': u'Email address',
'required': True,
'placeholder': u'example@mail.com'
}]
})
data = {
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'heading': u'Buying a home?',
'form_field': [{
'info': u'<a id="571" linktype="page">'
'Website Privacy Policy</a>',
'inline_info': True,
'required': True,
'label': u'Email address',
'btn_text': u'Sign up',
'placeholder': u'example@mail.com',
'type': u'email'
}],
'default_heading': False
}
migrated = self.migration.forward_mapper(
'unused param',
data
)
self.assertEqual(migrated, {
'heading': u'Buying a home?',
'default_heading': False,
'text': u'Our email newsletter has tips and info to help you ...',
'gd_code': u'USCFPB_127',
'disclaimer_page': 1189,
'form_field': [{
'type': u'email',
'inline_info': True,
'btn_text': u'Sign up',
'info': u'<a id="571" linktype="page">'
'Website Privacy Policy</a>',
'label': u'Email address',
'required': True,
'placeholder': u'example@mail.com'
}]
})
| 33.980132
| 79
| 0.476515
| 1,059
| 10,262
| 4.464589
| 0.109537
| 0.029611
| 0.027073
| 0.043993
| 0.872673
| 0.86802
| 0.86802
| 0.86802
| 0.859983
| 0.859983
| 0
| 0.018665
| 0.394368
| 10,262
| 301
| 80
| 34.093023
| 0.742076
| 0.006626
| 0
| 0.837037
| 0
| 0
| 0.370094
| 0.026001
| 0
| 0
| 0
| 0
| 0.02963
| 1
| 0.02963
| false
| 0
| 0.018519
| 0
| 0.051852
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
ee0983e61167d618fa9774443023eb3c23c38936
| 13,399
|
py
|
Python
|
tests/unit/usecases/test_node_api.py
|
HathorNetwork/hathor-explorer-service
|
81236deceac12ddfd813b33723481421a9064c82
|
[
"MIT"
] | null | null | null |
tests/unit/usecases/test_node_api.py
|
HathorNetwork/hathor-explorer-service
|
81236deceac12ddfd813b33723481421a9064c82
|
[
"MIT"
] | 51
|
2021-05-21T18:58:15.000Z
|
2022-03-29T17:45:00.000Z
|
tests/unit/usecases/test_node_api.py
|
HathorNetwork/hathor-explorer-service
|
81236deceac12ddfd813b33723481421a9064c82
|
[
"MIT"
] | 1
|
2022-02-08T21:15:26.000Z
|
2022-02-08T21:15:26.000Z
|
from unittest.mock import MagicMock, patch
from pytest import fixture, raises
from common.errors import HathorCoreTimeout
from tests.fixtures.node_api_factory import AddressBalanceFactory, AddressSearchFactory, VersionResourceFactory
from usecases.node_api import NodeApi
class TestNodeApiAddressBalance:
@fixture
def node_api_gateway(self):
return MagicMock()
def test_address_balance_ok(self, node_api_gateway):
obj = AddressBalanceFactory()
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_balance = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_balance('fake-address')
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_balance.assert_called_once_with('fake-address')
node_api_gateway.blacklist_address.assert_not_called()
assert result
assert sorted(result) == sorted(obj)
def test_address_balance_none(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_balance = MagicMock(return_value=None)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_balance('fake-address')
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_balance.assert_called_once_with('fake-address')
node_api_gateway.blacklist_address.assert_not_called()
assert result is None
def test_address_balance_fail(self, node_api_gateway):
obj = AddressBalanceFactory(fail=True)
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_balance = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_balance('fake-address')
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_balance.assert_called_once_with('fake-address')
node_api_gateway.blacklist_address.assert_not_called()
assert result
assert sorted(result) == sorted(obj)
@patch('usecases.node_api.ADDRESS_BLACKLIST_RESPONSE', 'mock-response')
def test_address_balance_timeout(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_balance = MagicMock(side_effect=HathorCoreTimeout('timeout'))
node_api_gateway.blacklist_address = MagicMock(return_value=None)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_balance('fake-address')
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_balance.assert_called_once_with('fake-address')
node_api_gateway.blacklist_address.assert_called_once_with('fake-address')
assert result
assert result == 'mock-response'
@patch('usecases.node_api.ADDRESS_BLACKLIST_RESPONSE', 'mock-response')
def test_address_balance_blacklisted(self, node_api_gateway):
obj = AddressBalanceFactory()
node_api_gateway.is_blacklisted_address = MagicMock(return_value=True)
node_api_gateway.get_address_balance = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_balance('fake-address')
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_balance.assert_not_called()
node_api_gateway.blacklist_address.assert_not_called()
assert result
assert result == 'mock-response'
def test_address_balance_reraise(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_balance = MagicMock(side_effect=Exception('not timeout'))
node_api = NodeApi(node_api_gateway)
with raises(Exception, match=r'not timeout'):
node_api.get_address_balance('fake-address')
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
class TestNodeApiAddressSearch:
@fixture
def node_api_gateway(self):
return MagicMock()
def test_address_search_ok(self, node_api_gateway):
obj = AddressSearchFactory()
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_search = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_search('fake-address', 1)
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_search.assert_called_once_with('fake-address', 1, None, None, None)
node_api_gateway.blacklist_address.assert_not_called()
assert result
assert sorted(result) == sorted(obj)
def test_address_search_none(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_search = MagicMock(return_value=None)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_search('fake-address', 50)
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_search.assert_called_once_with('fake-address', 50, None, None, None)
node_api_gateway.blacklist_address.assert_not_called()
assert result is None
def test_address_search_fail(self, node_api_gateway):
obj = AddressSearchFactory(fail=True)
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_search = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_search('fake-address', 5)
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_search.assert_called_once_with('fake-address', 5, None, None, None)
node_api_gateway.blacklist_address.assert_not_called()
assert result
assert sorted(result) == sorted(obj)
@patch('usecases.node_api.ADDRESS_BLACKLIST_RESPONSE', 'mock-response')
def test_address_search_timeout(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_search = MagicMock(side_effect=HathorCoreTimeout('timeout'))
node_api_gateway.blacklist_address = MagicMock(return_value=None)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_search('fake-address', 10)
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_search.assert_called_once_with('fake-address', 10, None, None, None)
node_api_gateway.blacklist_address.assert_called_once_with('fake-address')
assert result
assert result == 'mock-response'
@patch('usecases.node_api.ADDRESS_BLACKLIST_RESPONSE', 'mock-response')
def test_address_search_blacklisted(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=True)
node_api = NodeApi(node_api_gateway)
result = node_api.get_address_search('fake-address', 20)
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
node_api_gateway.get_address_search.assert_not_called()
node_api_gateway.blacklist_address.assert_not_called()
assert result
assert result == 'mock-response'
def test_address_search_reraise(self, node_api_gateway):
node_api_gateway.is_blacklisted_address = MagicMock(return_value=False)
node_api_gateway.get_address_search = MagicMock(side_effect=Exception('not timeout'))
node_api = NodeApi(node_api_gateway)
with raises(Exception, match=r'not timeout'):
node_api.get_address_search('fake-address', 15)
node_api_gateway.is_blacklisted_address.assert_called_once_with('fake-address')
class TestNodeApiCommon:
@fixture
def node_api_gateway(self):
return MagicMock()
def test_version(self, node_api_gateway):
obj = VersionResourceFactory()
node_api_gateway.get_version = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_version()
node_api_gateway.get_version.assert_called_once()
assert result
assert sorted(result) == sorted(obj)
def test_dashboard_tx(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.get_dashboard_tx = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_dashboard_tx(50, 4)
node_api_gateway.get_dashboard_tx.assert_called_once_with(50, 4)
assert result
assert sorted(result) == sorted(obj)
def test_get_transaction_acc_weight(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.get_transaction_acc_weight = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_transaction_acc_weight('mock-txid')
node_api_gateway.get_transaction_acc_weight.assert_called_once_with('mock-txid')
assert result
assert sorted(result) == sorted(obj)
def test_get_token_history(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.get_token_history = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_token_history('mock-token-uid', 1)
node_api_gateway.get_token_history.assert_called_once_with('mock-token-uid', 1, None, None, None)
assert result
assert sorted(result) == sorted(obj)
result = node_api.get_token_history('mock-token-uid-2', 10, 'a-hash', 'a-page', 8765)
node_api_gateway.get_token_history.assert_called_with('mock-token-uid-2', 10, 'a-hash', 'a-page', 8765)
assert result
assert sorted(result) == sorted(obj)
def test_get_transaction(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.get_transaction = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_transaction('mock-tx-id')
node_api_gateway.get_transaction.assert_called_once_with('mock-tx-id')
assert result
assert sorted(result) == sorted(obj)
def test_list_transactions(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.list_transactions = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.list_transactions('mock-tx-id', 27)
node_api_gateway.list_transactions.assert_called_once_with('mock-tx-id', 27, None, None, None)
assert result
assert sorted(result) == sorted(obj)
result = node_api.list_transactions('mock-tx-id-2', 81, 'a-hash', 'a-page', 8765)
node_api_gateway.list_transactions.assert_called_with('mock-tx-id-2', 81, 'a-hash', 'a-page', 8765)
assert result
assert sorted(result) == sorted(obj)
def test_get_token(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.get_token = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.get_token('mock-tx-id')
node_api_gateway.get_token.assert_called_once_with('mock-tx-id')
assert result
assert sorted(result) == sorted(obj)
def test_list_tokens(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.list_tokens = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.list_tokens()
node_api_gateway.list_tokens.assert_called_once()
assert result
assert sorted(result) == sorted(obj)
def test_decode_tx(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.decode_tx = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.decode_tx('mock-tx-hex')
node_api_gateway.decode_tx.assert_called_once_with('mock-tx-hex')
assert result
assert sorted(result) == sorted(obj)
def test_push_tx(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.push_tx = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.push_tx('mock-tx-hex')
node_api_gateway.push_tx.assert_called_once_with('mock-tx-hex')
assert result
assert sorted(result) == sorted(obj)
def test_graphviz_dot_neighbors(self, node_api_gateway):
obj = {"foo": "bar"}
node_api_gateway.graphviz_dot_neighbors = MagicMock(return_value=obj)
node_api = NodeApi(node_api_gateway)
result = node_api.graphviz_dot_neighbors('123', '456', 789)
node_api_gateway.graphviz_dot_neighbors.assert_called_once_with('123', '456', 789)
assert result
assert sorted(result) == sorted(obj)
| 47.34629
| 111
| 0.730054
| 1,754
| 13,399
| 5.165907
| 0.057013
| 0.142148
| 0.200861
| 0.06379
| 0.93323
| 0.908399
| 0.881139
| 0.849354
| 0.834786
| 0.82971
| 0
| 0.006734
| 0.179864
| 13,399
| 282
| 112
| 47.514184
| 0.817818
| 0
| 0
| 0.612766
| 0
| 0
| 0.080006
| 0.013135
| 0
| 0
| 0
| 0
| 0.378723
| 1
| 0.110638
| false
| 0
| 0.021277
| 0.012766
| 0.157447
| 0
| 0
| 0
| 0
| null | 0
| 1
| 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
| 7
|
ee5a877eaddcb34d40519085650aafe2cdf303c6
| 80
|
py
|
Python
|
sonos_pi3_controller/network_check/__init__.py
|
kirkden/sonos_pi3_refresh
|
cfa997f3a26bd7738eef7b685a9c1e037c53ed7e
|
[
"MIT"
] | 1
|
2021-03-24T15:14:50.000Z
|
2021-03-24T15:14:50.000Z
|
sonos_pi3_controller/network_check/__init__.py
|
kirkden/sonos_pi3_refresh
|
cfa997f3a26bd7738eef7b685a9c1e037c53ed7e
|
[
"MIT"
] | null | null | null |
sonos_pi3_controller/network_check/__init__.py
|
kirkden/sonos_pi3_refresh
|
cfa997f3a26bd7738eef7b685a9c1e037c53ed7e
|
[
"MIT"
] | null | null | null |
from .network_check import network_check
from .network_check import host_connect
| 40
| 40
| 0.8875
| 12
| 80
| 5.583333
| 0.5
| 0.537313
| 0.477612
| 0.656716
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0875
| 80
| 2
| 41
| 40
| 0.917808
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
ee80c5bec95a68fb5d55deea0818f87c1418b1d3
| 17,289
|
py
|
Python
|
test/auto_change_test.py
|
yoland68/junit-auto-migrate
|
eff24f5ad335f347cd8ee1798ab5431ee5a6ff27
|
[
"BSD-3-Clause"
] | null | null | null |
test/auto_change_test.py
|
yoland68/junit-auto-migrate
|
eff24f5ad335f347cd8ee1798ab5431ee5a6ff27
|
[
"BSD-3-Clause"
] | null | null | null |
test/auto_change_test.py
|
yoland68/junit-auto-migrate
|
eff24f5ad335f347cd8ee1798ab5431ee5a6ff27
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python
import plyj.parser as ply
import plyj.model as model
import plyj.auto_change as auto_change
import logging
import unittest
from mock import patch
class MockTest(unittest.TestCase):
@patch(
'plyj.auto_change.TraverseTree',
lambda x: (
[model.SourceElement(lexpos=3), model.SourceElement(lexpos=8)],
{}, {}, {}))
def testInsertAbove(self):
jft = auto_change.JavaFileTree(None, None, None, content='\nabcd efg\n')
element = jft._element_list[0]
jft._insertAbove(element, '1234')
self.assertEqual(jft.content, '\n1234\nabcd efg\n')
@patch(
'plyj.auto_change.TraverseTree',
lambda x: (
[model.SourceElement(lexpos=3), model.SourceElement(lexpos=8)],
{}, {}, {}))
def testInsertAbove2(self):
jft = auto_change.JavaFileTree(None, None, None, content='\nabcd efg\n')
element = jft._element_list[1]
jft._insertAbove(element, '1234')
self.assertEqual(jft.content, '\n1234\nabcd efg\n')
@patch(
'plyj.auto_change.TraverseTree',
lambda x: (
[model.SourceElement(lexpos=3), model.SourceElement(lexpos=8)],
{}, {}, {}))
def testInsertBelow(self):
jft = auto_change.JavaFileTree(None, None, None, content='\nabcd efg\n')
element = jft._element_list[0]
jft._insertBelow(element, '1234')
self.assertEqual(jft.content, '\nabcd efg\n1234\n')
@patch(
'plyj.auto_change.TraverseTree',
lambda x: (
[model.SourceElement(lexpos=3), model.SourceElement(lexpos=8)],
{}, {}, {}))
def testInsertAboveThenBelow(self):
jft = auto_change.JavaFileTree(None, None, None, content='\nabcd efg\n')
element = jft._element_list[0]
jft._insertAbove(element, '1234')
jft._insertBelow(element, '1234')
self.assertEqual(jft.content, '\n1234\nabcd efg\n1234\n')
@patch(
'plyj.auto_change.TraverseTree',
lambda x: (
[model.SourceElement(lexpos=3), model.SourceElement(lexpos=8),
model.SourceElement(lexpos=12)], {}, {}, {}))
def testInsertBelowThenAbove(self):
jft = auto_change.JavaFileTree(None, None, None, content='\nabcd efg\nxyz')
element = jft._element_list[1]
jft._insertBelow(element, '1234')
element = jft._element_list[2]
jft._insertAbove(element, '1234')
self.assertEqual(jft.content, '\nabcd efg\n1234\n1234\nxyz')
@patch(
'plyj.auto_change.TraverseTree',
lambda x: (
[model.SourceElement(lexpos=3, lexspan=(3,6)),
model.SourceElement(lexpos=8, lexspan=(8,10)),
model.SourceElement(lexpos=12, lexspan=(12,14))], {}, {}, {}))
def testReplaceString(self):
jft = auto_change.JavaFileTree(None, None, None, content='\nabcd efg\nxyz')
element = jft._element_list[0]
jft._replaceString('bc\w', '1', element=element)
self.assertEqual(jft.content, '\na1 efg\nxyz')
element = jft._element_list[1]
jft._replaceString('\w\wg', '', element=element, optional=False)
self.assertEqual(jft.content, '\na1 \nxyz')
element = jft._element_list[2]
jft._replaceString('xyz1', '', element=element, optional=True)
self.assertEqual(jft.content, '\na1 \nxyz')
jft._replaceString('xyz', 'xxx', element=element, optional=True)
self.assertEqual(jft.content, '\na1 \nxxx')
class Test(unittest.TestCase):
def setUp(self):
self.test_string =''' @Override
protected void setUp() throws Exception {
super.setUp();
mTestController = new TestController();
injectObjectAndReload(mTestController, "testController");
}'''
def testHelperReturnReplacement(self):
pattern = ' protected '
replacement = ' public '
expected_result = ''' @Override
public void setUp() throws Exception {
super.setUp();
mTestController = new TestController();
injectObjectAndReload(mTestController, "testController");
}'''
self.assertEqual(
expected_result, auto_change._ReturnReplacement(
pattern, replacement, self.test_string))
def testHelperReturnReplacementRemove(self):
pattern = ' *@Override'
replacement = ''
expected_result = '''
protected void setUp() throws Exception {
super.setUp();
mTestController = new TestController();
injectObjectAndReload(mTestController, "testController");
}'''
self.assertEqual(
expected_result, auto_change._ReturnReplacement(
pattern, replacement, self.test_string))
class InstrumentationTestCaseApiReplacementTest(unittest.TestCase):
def testNormal(self):
file_string = '''package test_junit4_autochange;
import a.b.c;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
@Annotation
public void test() {
lalala();
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
}'''
expected_string = '''package test_junit4_autochange;
import a.b.c;
import android.support.test.InstrumentationRegistry;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
InstrumentationRegistry.getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
@Annotation
public void test() {
lalala();
InstrumentationRegistry.getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
}'''
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
java_parser = ply.Parser(logger)
tree = java_parser.parse_string(file_string)
file_tree = auto_change.JavaFileTree(tree, None, None, content=file_string)
file_tree.replaceInstrumentationApis()
self.assertEqual(file_tree.content, expected_string)
class SimpleFileTest(unittest.TestCase):
def setUp(self):
file_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.TestCase;
public class Test extends TestCase {
public static void main(String[] args) {
System.out.println("hello");
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
@Annotation
protected void setUp() {
super.setUp();
lalala();
}
@Annotation
protected void tearDown() {
lalala();
super.tearDown();
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
}'''
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
java_parser = ply.Parser(logger)
tree = java_parser.parse_string(file_string)
self.file_tree = auto_change.JavaFileTree(
tree, None, {'TestCase':{'method':{'A':'A'}, 'rule': 'MyRule'}}, content=file_string)
def testHelperFindNextElementIndex(self):
expected_file_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.TestCase;
import org.junit.After;
import org.junit.Before;
public class Test extends TestCase {
public static void main(String[] args) {
System.out.println("hello");
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
@Before
@Annotation
public void setUp() {
lalala();
}
@After
@Annotation
public void tearDown() {
lalala();
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
}'''
# ipdb.set_trace()
self.file_tree.changeSetUp()
self.assertEqual(self.file_tree.content, expected_file_string)
def testAddClassRunner(self):
expected_file_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.TestCase;
import org.chromium.base.test.BaseJUnit4ClassRunner;
import org.junit.runner.RunWith;
@RunWith(BaseJUnit4ClassRunner.class)
public class Test extends TestCase {
public static void main(String[] args) {
System.out.println("hello");
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
@Annotation
protected void setUp() {
super.setUp();
lalala();
}
@Annotation
protected void tearDown() {
lalala();
super.tearDown();
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
}'''
# ipdb.set_trace()
self.file_tree.addClassRunner()
self.assertEqual(self.file_tree.content, expected_file_string)
def testRemoveExtends(self):
expected_file_string='''package test_junit4_autochange;
import a.b.c;
import org.junit.MyRule;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
@Annotation
protected void setUp() {
super.setUp();
lalala();
}
@Annotation
protected void tearDown() {
lalala();
super.tearDown();
getInstrumentation().doSomething();
myOwnObject.getInstrumentation();
}
}'''
self.file_tree.removeExtends()
self.assertEqual(self.file_tree.super_class_name, 'TestCase')
DebugTest(self.file_tree.content, expected_file_string)
self.assertEqual(self.file_tree.content, expected_file_string)
class InsertActivityTestRuleTest(unittest.TestCase):
def testOneLinePackageDelaclaration(self):
file_string = '''package test_junit4_autochange;
import a.b.c;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
}
}'''
expected_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.Rule;
public class Test {
@Rule
public ActivityTestRule<TestActivity> mActivityTestRule = new ActivityTestRule<>();
public static void main(String[] args) {
System.out.println("hello");
}
}'''
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
java_parser = ply.Parser(logger)
tree = java_parser.parse_string(file_string)
file_tree = auto_change.JavaFileTree(tree, None, None, file_string)
file_tree._insertActivityTestRule(
'ActivityTestRule<TestActivity>', 'ActivityTestRule<>()')
self.assertEqual(file_tree.content, expected_string)
def testTwoLinePackageDelaration(self):
file_string = '''package test_junit4_autochange;
import a.b.c;
public class Test extends
lalalalalal {
public static void main(String[] args) {
System.out.println("hello");
}
}'''
expected_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.Rule;
public class Test extends
lalalalalal {
@Rule
public ActivityTestRule<TestActivity> mActivityTestRule = new ActivityTestRule<>();
public static void main(String[] args) {
System.out.println("hello");
}
}'''
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
java_parser = ply.Parser(logger)
tree = java_parser.parse_string(file_string)
file_tree = auto_change.JavaFileTree(
tree, None, {'lalalalalal': {'method':{'A':'A'}}}, content=file_string)
file_tree._insertActivityTestRule(
'ActivityTestRule<TestActivity>', 'ActivityTestRule<>()')
self.assertEqual(file_tree.content, expected_string)
class InnerClassTest(unittest.TestCase):
def setUp(self):
file_string = '''package test_junit4_autochange;
import a.b.c;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
}
public static class Inner {
@SmallTest
@Feature({"Navigation"})
public void testDefaultCreateState() throws Exception {
assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
assertFalse(mPopupZoomer.isShowing());
}
@SmallTest
@Feature({"Navigation"})
public void testShowWithoutBitmap() throws Exception {
mPopupZoomer.show(new Rect(0, 0, 5, 5));
// The view should be invisible.
assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
assertFalse(mPopupZoomer.isShowing());
fail("abcde");
}
}
private interface Interface {
public void testShowWithBitmap();
}
}'''
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
java_parser = ply.Parser(logger)
tree = java_parser.parse_string(file_string)
self.file_tree = auto_change.JavaFileTree(
tree, None, None, content=file_string)
def testMainTable(self):
self.assertEqual(
len(self.file_tree.main_element_table[model.MethodDeclaration]), 1)
self.assertEqual(self.file_tree.main_element_table[model.MethodDeclaration][0].name, 'main')
class AssertionTest(unittest.TestCase):
def setUp(self):
file_string = '''package test_junit4_autochange;
import a.b.c;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
}
@SmallTest
@Feature({"Navigation"})
public void testDefaultCreateState() throws Exception {
assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
assertFalse(mPopupZoomer.isShowing());
}
@SmallTest
@Feature({"Navigation"})
public void testShowWithoutBitmap() throws Exception {
mPopupZoomer.show(new Rect(0, 0, 5, 5));
// The view should be invisible.
assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
assertFalse(mPopupZoomer.isShowing());
fail("abcde");
}
@SmallTest
@Feature({"Navigation"})
public void testShowWithBitmap() throws Exception {
mPopupZoomer.setBitmap(Bitmap.createBitmap(10, 10, Bitmap.Config.ALPHA_8));
mPopupZoomer.show(new Rect(0, 0, 5, 5));
abc(assertNotNull(X));
Runnable r = new Runnable() {
@Override
public void run() {
assertSame(x, y);
}
};
// The view should become visible.
assertEquals(View.VISIBLE, mPopupZoomer.getVisibility());
assertTrue(mPopupZoomer.isShowing());
}
}'''
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
java_parser = ply.Parser(logger)
tree = java_parser.parse_string(file_string)
self.file_tree = auto_change.JavaFileTree(
tree, None, None, content=file_string)
def testAddTestAnnotation(self):
expected_file_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.Test;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
}
@Test
@SmallTest
@Feature({"Navigation"})
public void testDefaultCreateState() throws Exception {
assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
assertFalse(mPopupZoomer.isShowing());
}
@Test
@SmallTest
@Feature({"Navigation"})
public void testShowWithoutBitmap() throws Exception {
mPopupZoomer.show(new Rect(0, 0, 5, 5));
// The view should be invisible.
assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
assertFalse(mPopupZoomer.isShowing());
fail("abcde");
}
@Test
@SmallTest
@Feature({"Navigation"})
public void testShowWithBitmap() throws Exception {
mPopupZoomer.setBitmap(Bitmap.createBitmap(10, 10, Bitmap.Config.ALPHA_8));
mPopupZoomer.show(new Rect(0, 0, 5, 5));
abc(assertNotNull(X));
Runnable r = new Runnable() {
@Override
public void run() {
assertSame(x, y);
}
};
// The view should become visible.
assertEquals(View.VISIBLE, mPopupZoomer.getVisibility());
assertTrue(mPopupZoomer.isShowing());
}
}'''
self.file_tree.addTestAnnotation()
self.assertEqual(self.file_tree.content, expected_file_string)
def testChangeAssertions(self):
expected_file_string = '''package test_junit4_autochange;
import a.b.c;
import org.junit.Assert;
public class Test {
public static void main(String[] args) {
System.out.println("hello");
}
@SmallTest
@Feature({"Navigation"})
public void testDefaultCreateState() throws Exception {
Assert.assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
Assert.assertFalse(mPopupZoomer.isShowing());
}
@SmallTest
@Feature({"Navigation"})
public void testShowWithoutBitmap() throws Exception {
mPopupZoomer.show(new Rect(0, 0, 5, 5));
// The view should be invisible.
Assert.assertEquals(View.INVISIBLE, mPopupZoomer.getVisibility());
Assert.assertFalse(mPopupZoomer.isShowing());
Assert.fail("abcde");
}
@SmallTest
@Feature({"Navigation"})
public void testShowWithBitmap() throws Exception {
mPopupZoomer.setBitmap(Bitmap.createBitmap(10, 10, Bitmap.Config.ALPHA_8));
mPopupZoomer.show(new Rect(0, 0, 5, 5));
abc(Assert.assertNotNull(X));
Runnable r = new Runnable() {
@Override
public void run() {
Assert.assertSame(x, y);
}
};
// The view should become visible.
Assert.assertEquals(View.VISIBLE, mPopupZoomer.getVisibility());
Assert.assertTrue(mPopupZoomer.isShowing());
}
}'''
# ipdb.set_trace()
self.file_tree.changeAssertions()
self.assertEqual(self.file_tree.content, expected_file_string)
def DebugTest(expected_string, actual_string):
with open('/usr/local/google/home/yolandyan/Desktop/expected.java', 'w') as expected, \
open('/usr/local/google/home/yolandyan/Desktop/actual.java', 'w') as actual:
expected.write(expected_string)
actual.write(actual_string)
| 28.482702
| 96
| 0.683498
| 1,816
| 17,289
| 6.399229
| 0.118943
| 0.024955
| 0.017554
| 0.027708
| 0.839515
| 0.813097
| 0.802427
| 0.792703
| 0.769727
| 0.735823
| 0
| 0.011238
| 0.186766
| 17,289
| 606
| 97
| 28.529703
| 0.815292
| 0.004107
| 0
| 0.731855
| 0
| 0
| 0.577155
| 0.249768
| 0
| 0
| 0
| 0
| 0.110887
| 1
| 0.044355
| false
| 0
| 0.066532
| 0
| 0.125
| 0.028226
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
c98f7aec134b4299ef23fffbdb0e6335ecddc3da
| 9,289
|
py
|
Python
|
ctreport_selenium/ctreport_html/scripts/filter.py
|
naveens33/ctreport-selenium
|
9553b5c4b8deb52e46cf0fb3e1ea7092028cf090
|
[
"MIT"
] | 2
|
2020-08-30T13:12:52.000Z
|
2020-09-03T05:38:28.000Z
|
ctreport_selenium/ctreport_html/scripts/filter.py
|
naveens33/ctreport-selenium
|
9553b5c4b8deb52e46cf0fb3e1ea7092028cf090
|
[
"MIT"
] | 5
|
2020-01-10T07:01:24.000Z
|
2020-06-25T10:49:43.000Z
|
ctreport_selenium/ctreport_html/scripts/filter.py
|
naveens33/ctreport-selenium
|
9553b5c4b8deb52e46cf0fb3e1ea7092028cf090
|
[
"MIT"
] | 1
|
2020-10-13T02:27:04.000Z
|
2020-10-13T02:27:04.000Z
|
content = '''
<script>
function filterSelection(c) {
toast_message(c)
var x, i;
x = document.getElementsByClassName("filterDiv");
x1 = document.getElementsByClassName("filterDiv1");
x2 = document.getElementsByClassName("NoTest");
if (c == "all") {
y = document.getElementsByClassName("passicon");
w3RemoveClass(y[0], "fa fa-check");
w3AddClass(y[0], "fa fa-check-circle");
y = document.getElementsByClassName("failicon");
w3RemoveClass(y[0], "fa fa-times");
w3AddClass(y[0], "fa fa-times-circle");
y = document.getElementsByClassName("skipicon");
w3RemoveClass(y[0], "fa fa-minus");
w3AddClass(y[0], "fa fa-minus-circle");
y = document.getElementsByClassName("brokenicon");
w3RemoveClass(y[0], "fa fa-exclamation");
w3AddClass(y[0], "fa fa-exclamation-circle");
for (i = 0; i < x.length; i++) {
if (x[i].className.indexOf(c) > -1 || x1[i].className.indexOf(c) > -1){}
else
{
w3RemoveClass(x[i], "hide");
w3RemoveClass(x1[i], "hide");
}
}
w3RemoveClass(x2[0], "table_show");
w3AddClass(x2[0], "hide");
}
if(c=="passed"){
y = document.getElementsByClassName("passicon");
w3RemoveClass(y[0], "fa fa-check-circle");
w3AddClass(y[0], "fa fa-check");
y = document.getElementsByClassName("failicon");
w3RemoveClass(y[0], "fa fa-times");
w3AddClass(y[0], "fa fa-times-circle");
y = document.getElementsByClassName("skipicon");
w3RemoveClass(y[0], "fa fa-minus");
w3AddClass(y[0], "fa fa-minus-circle");
y = document.getElementsByClassName("brokenicon");
w3RemoveClass(y[0], "fa fa-exclamation");
w3AddClass(y[0], "fa fa-exclamation-circle");
no_of_tr=0;
for (i = 0; i < x.length; i++) {
if (x[i].className.indexOf(c) > -1 || x1[i].className.indexOf(c) > -1)
{
no_of_tr++;
w3RemoveClass(x[i], "hide");
w3AddClass(x[i], "table_show");
w3RemoveClass(x1[i], "hide");
w3AddClass(x1[i], "custom_show");
}
else
{
w3RemoveClass(x[i], "table_show");
w3AddClass(x[i], "hide");
w3RemoveClass(x1[i], "custom_show");
w3AddClass(x1[i], "hide");
}
}
if(no_of_tr==0)
{
w3RemoveClass(x2[0], "hide");
w3AddClass(x2[0], "table_show");
}
else{
w3RemoveClass(x2[0], "table_show");
w3AddClass(x2[0], "hide");
}
}
if(c=="failed"){
y = document.getElementsByClassName("passicon");
w3RemoveClass(y[0], "fa fa-check");
w3AddClass(y[0], "fa fa-check-circle");
y = document.getElementsByClassName("failicon");
w3RemoveClass(y[0], "fa fa-times-circle");
w3AddClass(y[0], "fa fa-times");
y = document.getElementsByClassName("skipicon");
w3RemoveClass(y[0], "fa fa-minus");
w3AddClass(y[0], "fa fa-minus-circle");
y = document.getElementsByClassName("brokenicon");
w3RemoveClass(y[0], "fa fa-exclamation");
w3AddClass(y[0], "fa fa-exclamation-circle");
no_of_tr=0;
for (i = 0; i < x.length; i++) {
if (x[i].className.indexOf(c) > -1 || x1[i].className.indexOf(c) > -1)
{
no_of_tr++;
w3RemoveClass(x[i], "hide");
w3AddClass(x[i], "table_show");
w3RemoveClass(x1[i], "hide");
w3AddClass(x1[i], "custom_show");
}
else
{
w3RemoveClass(x[i], "table_show");
w3AddClass(x[i], "hide");
w3RemoveClass(x1[i], "custom_show");
w3AddClass(x1[i], "hide");
}
}
if(no_of_tr==0)
{
w3RemoveClass(x2[0], "hide");
w3AddClass(x2[0], "table_show");
}
else{
w3RemoveClass(x2[0], "table_show");
w3AddClass(x2[0], "hide");
}
}
if(c=="skipped"){
y = document.getElementsByClassName("passicon");
w3RemoveClass(y[0], "fa fa-check");
w3AddClass(y[0], "fa fa-check-circle");
y = document.getElementsByClassName("failicon");
w3RemoveClass(y[0], "fa fa-times");
w3AddClass(y[0], "fa fa-times-circle");
y = document.getElementsByClassName("skipicon");
w3RemoveClass(y[0], "fa fa-minus-circle");
w3AddClass(y[0], "fa fa-minus");
y = document.getElementsByClassName("brokenicon");
w3RemoveClass(y[0], "fa fa-exclamation");
w3AddClass(y[0], "fa fa-exclamation-circle");
no_of_tr=0;
for (i = 0; i < x.length; i++) {
if (x[i].className.indexOf(c) > -1 || x1[i].className.indexOf(c) > -1)
{
no_of_tr++;
w3RemoveClass(x[i], "hide");
w3AddClass(x[i], "table_show");
w3RemoveClass(x1[i], "hide");
w3AddClass(x1[i], "custom_show");
}
else
{
w3RemoveClass(x[i], "table_show");
w3AddClass(x[i], "hide");
w3RemoveClass(x1[i], "custom_show");
w3AddClass(x1[i], "hide");
}
}
if(no_of_tr==0)
{
w3RemoveClass(x2[0], "hide");
w3AddClass(x2[0], "table_show");
}
else{
w3RemoveClass(x2[0], "table_show");
w3AddClass(x2[0], "hide");
}
}
if(c=="broken"){
y = document.getElementsByClassName("passicon");
w3RemoveClass(y[0], "fa fa-check");
w3AddClass(y[0], "fa fa-check-circle");
y = document.getElementsByClassName("failicon");
w3RemoveClass(y[0], "fa fa-times");
w3AddClass(y[0], "fa fa-times-circle");
y = document.getElementsByClassName("skipicon");
w3RemoveClass(y[0], "fa fa-minus");
w3AddClass(y[0], "fa fa-minus-circle");
y = document.getElementsByClassName("brokenicon");
w3RemoveClass(y[0], "fa fa-exclamation-circle");
w3AddClass(y[0], "fa fa-exclamation");
no_of_tr=0;
for (i = 0; i < x.length; i++) {
if (x[i].className.indexOf(c) > -1 || x1[i].className.indexOf(c) > -1)
{
no_of_tr++;
w3RemoveClass(x[i], "hide");
w3AddClass(x[i], "table_show");
w3RemoveClass(x1[i], "hide");
w3AddClass(x1[i], "custom_show");
}
else
{
w3RemoveClass(x[i], "table_show");
w3AddClass(x[i], "hide");
w3RemoveClass(x1[i], "custom_show");
w3AddClass(x1[i], "hide");
}
}
if(no_of_tr==0)
{
w3RemoveClass(x2[0], "hide");
w3AddClass(x2[0], "table_show");
}
else{
w3RemoveClass(x2[0], "table_show");
w3AddClass(x2[0], "hide");
}
}
}
function w3AddClass(element, name) {
var i, arr1, arr2;
arr1 = element.className.split(" ");
arr2 = name.split(" ");
for (i = 0; i < arr2.length; i++) {
if (arr1.indexOf(arr2[i]) == -1) {
element.className += " " + arr2[i];
}
}
}
function w3RemoveClass(element, name) {
var i, arr1, arr2;
arr1 = element.className.split(" ");
arr2 = name.split(" ");
for (i = 0; i < arr2.length; i++) {
while (arr1.indexOf(arr2[i]) > -1) {
arr1.splice(arr1.indexOf(arr2[i]), 1);
}
}
element.className = arr1.join(" ");
}
</script>
'''
| 40.386957
| 92
| 0.424373
| 840
| 9,289
| 4.633333
| 0.069048
| 0.020555
| 0.04111
| 0.061665
| 0.922405
| 0.918037
| 0.883094
| 0.866136
| 0.866136
| 0.866136
| 0
| 0.045626
| 0.429002
| 9,289
| 229
| 93
| 40.563319
| 0.68816
| 0
| 0
| 0.645455
| 0
| 0.022727
| 0.99817
| 0.167187
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.027273
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4eb8b79e957f1875e4b6a1c5b256cb5f9e55ea3f
| 27,584
|
py
|
Python
|
esi_leap/tests/api/controllers/v1/test_offer.py
|
samuel-zuk/esi-leap
|
5c1fd5c29a17f2fad938f98f1ec922ee21e56dbf
|
[
"Apache-2.0"
] | null | null | null |
esi_leap/tests/api/controllers/v1/test_offer.py
|
samuel-zuk/esi-leap
|
5c1fd5c29a17f2fad938f98f1ec922ee21e56dbf
|
[
"Apache-2.0"
] | 41
|
2019-07-16T14:57:18.000Z
|
2021-08-04T14:19:01.000Z
|
esi_leap/tests/api/controllers/v1/test_offer.py
|
samuel-zuk/esi-leap
|
5c1fd5c29a17f2fad938f98f1ec922ee21e56dbf
|
[
"Apache-2.0"
] | 13
|
2019-03-29T14:33:33.000Z
|
2022-01-17T20:03:21.000Z
|
# 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 datetime
import http.client as http_client
import mock
from oslo_utils import uuidutils
from esi_leap.common import exception
from esi_leap.common import statuses
from esi_leap.objects import offer
from esi_leap.resource_objects.ironic_node import IronicNode
from esi_leap.resource_objects.test_node import TestNode
from esi_leap.tests.api import base as test_api_base
def _get_offer_response(o, use_datetime=False):
if use_datetime:
start = datetime.datetime(2016, 7, 16)
end = datetime.datetime(2016, 10, 24)
else:
start = '2016-07-16T00:00:00'
end = '2016-10-24T00:00:00'
return {
'resource_type': o.resource_type,
'resource_uuid': o.resource_uuid,
'name': o.name,
'project_id': o.project_id,
'start_time': start,
'end_time': end,
'status': o.status,
'availabilities': [],
'uuid': o.uuid,
'parent_lease_uuid': None
}
class TestOffersController(test_api_base.APITestCase):
def setUp(self):
super(TestOffersController, self).setUp()
start = datetime.datetime(2016, 7, 16)
self.test_offer = offer.Offer(
resource_type='test_node',
resource_uuid=uuidutils.generate_uuid(),
name="test_offer",
uuid=uuidutils.generate_uuid(),
status=statuses.AVAILABLE,
start_time=start,
end_time=start + datetime.timedelta(days=100),
project_id=self.context.project_id,
parent_lease_uuid=None
)
self.test_offer_drt = offer.Offer(
resource_type='ironic_node',
resource_uuid=uuidutils.generate_uuid(),
name="test_offer",
uuid=uuidutils.generate_uuid(),
status=statuses.AVAILABLE,
start_time=start,
end_time=start + datetime.timedelta(days=100),
project_id=self.context.project_id,
parent_lease_uuid=None
)
self.test_offer_lessee = offer.Offer(
resource_type='test_node',
resource_uuid=uuidutils.generate_uuid(),
name="test_offer",
uuid=uuidutils.generate_uuid(),
lessee_id='lessee-uuid',
status=statuses.AVAILABLE,
start_time=start,
end_time=start + datetime.timedelta(days=100),
project_id=self.context.project_id,
parent_lease_uuid=None
)
self.test_offer_2 = offer.Offer(
resource_type='test_node',
resource_uuid=uuidutils.generate_uuid(),
name="test_offer2",
uuid=uuidutils.generate_uuid(),
status=statuses.DELETED,
start_time=start,
end_time=start + datetime.timedelta(days=100),
project_id=self.context.project_id,
parent_lease_uuid=None
)
self.test_offer_with_parent = offer.Offer(
resource_type='test_node',
resource_uuid=uuidutils.generate_uuid(),
name="test_offer",
uuid=uuidutils.generate_uuid(),
status=statuses.AVAILABLE,
start_time=start,
end_time=start + datetime.timedelta(days=100),
project_id=self.context.project_id,
parent_lease_uuid='parent-lease-uuid'
)
def test_empty(self):
data = self.get_json('/offers')
self.assertEqual([], data['offers'])
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.api.controllers.v1.utils.check_resource_admin')
@mock.patch('esi_leap.objects.offer.Offer.create')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
def test_post(self, mock_ogdwai, mock_create, mock_cra,
mock_generate_uuid, mock_gro):
resource = TestNode(self.test_offer.resource_uuid)
mock_gro.return_value = resource
mock_generate_uuid.return_value = self.test_offer.uuid
mock_create.return_value = self.test_offer
mock_ogdwai.return_value = self.test_offer.to_dict()
data = {
"resource_type": self.test_offer.resource_type,
"resource_uuid": self.test_offer.resource_uuid,
"name": self.test_offer.name,
"start_time": "2016-07-16T00:00:00",
"end_time": "2016-10-24T00:00:00"
}
request = self.post_json('/offers', data)
data['project_id'] = self.context.project_id
data['uuid'] = self.test_offer.uuid
data['status'] = statuses.AVAILABLE
data['parent_lease_uuid'] = None
mock_gro.assert_called_once_with(self.test_offer.resource_type,
self.test_offer.resource_uuid)
mock_cra.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id)
mock_create.assert_called_once()
mock_ogdwai.assert_called_once()
self.assertEqual(data, request.json)
self.assertEqual(http_client.CREATED, request.status_int)
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.api.controllers.v1.utils.check_resource_admin')
@mock.patch('esi_leap.objects.offer.Offer.create')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
def test_post_default_resource_type(self, mock_ogdwai, mock_create,
mock_cra, mock_generate_uuid,
mock_gro):
resource = IronicNode(self.test_offer_drt.resource_uuid)
mock_gro.return_value = resource
mock_generate_uuid.return_value = self.test_offer_drt.uuid
mock_ogdwai.return_value = self.test_offer_drt.to_dict()
data = {
"resource_uuid": self.test_offer_drt.resource_uuid,
"name": self.test_offer_drt.name,
"start_time": "2016-07-16T00:00:00",
"end_time": "2016-10-24T00:00:00"
}
request = self.post_json('/offers', data)
data['project_id'] = self.context.project_id
data['uuid'] = self.test_offer_drt.uuid
data['status'] = statuses.AVAILABLE
data['resource_type'] = 'ironic_node'
data['parent_lease_uuid'] = None
mock_gro.assert_called_once_with(self.test_offer_drt.resource_type,
self.test_offer_drt.resource_uuid)
mock_cra.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id)
mock_create.assert_called_once()
mock_ogdwai.assert_called_once()
self.assertEqual(data, request.json)
self.assertEqual(http_client.CREATED, request.status_int)
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('esi_leap.common.keystone.get_project_uuid_from_ident')
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.api.controllers.v1.utils.check_resource_admin')
@mock.patch('esi_leap.objects.offer.Offer.create')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
def test_post_lessee(self, mock_ogdwai, mock_create, mock_cra,
mock_generate_uuid, mock_gpufi, mock_gro):
resource = TestNode(self.test_offer_lessee.resource_uuid)
mock_gro.return_value = resource
mock_gpufi.return_value = 'lessee_uuid'
mock_generate_uuid.return_value = self.test_offer_lessee.uuid
mock_create.return_value = self.test_offer_lessee
mock_ogdwai.return_value = self.test_offer_lessee.to_dict()
data = {
"resource_type": self.test_offer_lessee.resource_type,
"resource_uuid": self.test_offer_lessee.resource_uuid,
"name": self.test_offer_lessee.name,
"start_time": "2016-07-16T00:00:00",
"end_time": "2016-10-24T00:00:00",
"lessee_id": "lessee-uuid"
}
request = self.post_json('/offers', data)
data['project_id'] = self.context.project_id
data['uuid'] = self.test_offer_lessee.uuid
data['status'] = statuses.AVAILABLE
data['parent_lease_uuid'] = None
mock_gro.assert_called_once_with(self.test_offer_lessee.resource_type,
self.test_offer_lessee.resource_uuid)
mock_gpufi.assert_called_once_with('lessee-uuid')
mock_cra.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id)
mock_create.assert_called_once()
mock_ogdwai.assert_called_once()
self.assertEqual(data, request.json)
self.assertEqual(http_client.CREATED, request.status_int)
@mock.patch('esi_leap.api.controllers.v1.utils.'
'check_resource_lease_admin')
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.api.controllers.v1.utils.check_resource_admin')
@mock.patch('esi_leap.objects.offer.Offer.create')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
def test_post_non_admin_parent_lease(self, mock_ogdwai, mock_create,
mock_cra, mock_generate_uuid,
mock_gro, mock_crla):
resource = TestNode(self.test_offer_with_parent.resource_uuid)
mock_gro.return_value = resource
mock_generate_uuid.return_value = self.test_offer_with_parent.uuid
mock_create.return_value = self.test_offer_with_parent
mock_ogdwai.return_value = self.test_offer_with_parent.to_dict()
mock_cra.side_effect = exception.HTTPResourceForbidden(
resource_type='test_node',
resource=self.test_offer_with_parent.resource_uuid)
mock_crla.return_value = self.test_offer_with_parent.parent_lease_uuid
data = {
"resource_type": self.test_offer_with_parent.resource_type,
"resource_uuid": self.test_offer_with_parent.resource_uuid,
"name": self.test_offer_with_parent.name,
"start_time": "2016-07-16T00:00:00",
"end_time": "2016-10-24T00:00:00"
}
request = self.post_json('/offers', data)
data['project_id'] = self.context.project_id
data['uuid'] = self.test_offer_with_parent.uuid
data['status'] = statuses.AVAILABLE
data['parent_lease_uuid'] = \
self.test_offer_with_parent.parent_lease_uuid
mock_gro.assert_called_once_with(
self.test_offer_with_parent.resource_type,
self.test_offer_with_parent.resource_uuid)
mock_cra.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id)
mock_crla.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id,
datetime.datetime(2016, 7, 16, 0, 0, 0),
datetime.datetime(2016, 10, 24, 0, 0, 0))
mock_create.assert_called_once()
mock_ogdwai.assert_called_once()
self.assertEqual(data, request.json)
self.assertEqual(http_client.CREATED, request.status_int)
@mock.patch('esi_leap.api.controllers.v1.utils.'
'check_resource_lease_admin')
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.api.controllers.v1.utils.check_resource_admin')
@mock.patch('esi_leap.objects.offer.Offer.create')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
def test_post_non_admin_no_parent_lease(self, mock_ogdwai, mock_create,
mock_cra, mock_generate_uuid,
mock_gro, mock_crla):
resource = TestNode(self.test_offer_with_parent.resource_uuid)
mock_gro.return_value = resource
mock_generate_uuid.return_value = self.test_offer_with_parent.uuid
mock_create.return_value = self.test_offer_with_parent
mock_ogdwai.return_value = self.test_offer_with_parent.to_dict()
mock_cra.side_effect = exception.HTTPResourceForbidden(
resource_type='test_node',
resource=self.test_offer_with_parent.resource_uuid)
mock_crla.return_value = None
data = {
"resource_type": self.test_offer_with_parent.resource_type,
"resource_uuid": self.test_offer_with_parent.resource_uuid,
"name": self.test_offer_with_parent.name,
"start_time": "2016-07-16T00:00:00",
"end_time": "2016-10-24T00:00:00"
}
request = self.post_json('/offers', data, expect_errors=True)
mock_gro.assert_called_once_with(
self.test_offer_with_parent.resource_type,
self.test_offer_with_parent.resource_uuid)
mock_cra.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id)
mock_crla.assert_called_once_with(
self.context.to_policy_values(),
resource,
self.context.project_id,
datetime.datetime(2016, 7, 16, 0, 0, 0),
datetime.datetime(2016, 10, 24, 0, 0, 0))
mock_create.assert_not_called()
mock_ogdwai.assert_not_called()
self.assertEqual(http_client.FORBIDDEN, request.status_int)
@mock.patch('esi_leap.common.ironic.get_node_list')
@mock.patch('esi_leap.common.keystone.get_project_list')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
@mock.patch('esi_leap.objects.offer.Offer.get_all')
def test_get_nofilters(self, mock_get_all, mock_ogdwai, mock_gpl,
mock_gnl):
mock_get_all.return_value = [self.test_offer, self.test_offer_2]
mock_ogdwai.side_effect = [
_get_offer_response(self.test_offer, use_datetime=True),
_get_offer_response(self.test_offer_2, use_datetime=True)]
mock_gpl.return_value = []
mock_gnl.return_value = []
expected_filters = {'status': 'available'}
expected_resp = {'offers': [_get_offer_response(self.test_offer),
_get_offer_response(self.test_offer_2)]}
request = self.get_json('/offers')
mock_get_all.assert_called_once_with(expected_filters, self.context)
mock_gpl.assert_called_once()
mock_gnl.assert_called_once()
assert mock_ogdwai.call_count == 2
self.assertEqual(request, expected_resp)
@mock.patch('esi_leap.common.ironic.get_node_list')
@mock.patch('esi_leap.common.keystone.get_project_list')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
@mock.patch('esi_leap.objects.offer.Offer.get_all')
def test_get_any_status(self, mock_get_all, mock_ogdwai, mock_gpl,
mock_gnl):
mock_get_all.return_value = [self.test_offer, self.test_offer_2]
mock_ogdwai.side_effect = [
_get_offer_response(self.test_offer, use_datetime=True),
_get_offer_response(self.test_offer_2, use_datetime=True)]
mock_gpl.return_value = []
mock_gnl.return_value = []
expected_filters = {}
expected_resp = {'offers': [_get_offer_response(self.test_offer),
_get_offer_response(self.test_offer_2)]}
request = self.get_json('/offers/?status=any')
mock_get_all.assert_called_once_with(expected_filters, self.context)
mock_gpl.assert_called_once()
mock_gnl.assert_called_once()
assert mock_ogdwai.call_count == 2
self.assertEqual(request, expected_resp)
@mock.patch('esi_leap.common.ironic.get_node_list')
@mock.patch('esi_leap.common.keystone.get_project_list')
@mock.patch('esi_leap.common.keystone.get_project_uuid_from_ident')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
@mock.patch('esi_leap.objects.offer.Offer.get_all')
def test_get_project_filter(self, mock_get_all, mock_ogdwai,
mock_gpufi, mock_gpl, mock_gnl):
mock_get_all.return_value = [self.test_offer, self.test_offer_2]
mock_ogdwai.side_effect = [
_get_offer_response(self.test_offer, use_datetime=True),
_get_offer_response(self.test_offer_2, use_datetime=True)]
mock_gpufi.return_value = self.context.project_id
mock_gpl.return_value = []
mock_gnl.return_value = []
expected_filters = {'project_id': self.context.project_id,
'status': 'available'}
expected_resp = {'offers': [_get_offer_response(self.test_offer),
_get_offer_response(self.test_offer_2)]}
request = self.get_json(
'/offers/?project_id=' + self.context.project_id)
mock_gpufi.assert_called_once_with(self.context.project_id)
mock_get_all.assert_called_once_with(expected_filters, self.context)
mock_gpl.assert_called_once()
mock_gnl.assert_called_once()
assert mock_ogdwai.call_count == 2
self.assertEqual(request, expected_resp)
@mock.patch('esi_leap.common.ironic.get_node_list')
@mock.patch('esi_leap.common.keystone.get_project_list')
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
@mock.patch('esi_leap.objects.offer.Offer.get_all')
def test_get_resource_filter(self, mock_get_all, mock_ogdwai, mock_gro,
mock_gpl, mock_gnl):
mock_get_all.return_value = [self.test_offer, self.test_offer_2]
mock_ogdwai.side_effect = [
_get_offer_response(self.test_offer, use_datetime=True),
_get_offer_response(self.test_offer_2, use_datetime=True)]
mock_gro.return_value = TestNode('54321')
mock_gpl.return_value = []
mock_gnl.return_value = []
expected_filters = {'status': 'available',
'resource_uuid': '54321',
'resource_type': 'test_node'}
expected_resp = {'offers': [_get_offer_response(self.test_offer),
_get_offer_response(self.test_offer_2)]}
request = self.get_json(
'/offers/?resource_uuid=54321&resource_type=test_node')
mock_gro.assert_called_once_with('test_node', '54321')
mock_get_all.assert_called_once_with(expected_filters, self.context)
mock_gpl.assert_called_once()
mock_gnl.assert_called_once()
assert mock_ogdwai.call_count == 2
self.assertEqual(request, expected_resp)
@mock.patch('esi_leap.common.ironic.get_node_list')
@mock.patch('esi_leap.common.keystone.get_project_list')
@mock.patch('esi_leap.resource_objects.resource_object_factory.'
'ResourceObjectFactory.get_resource_object')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
@mock.patch('esi_leap.objects.offer.Offer.get_all')
def test_get_resource_filter_default_resource_type(self, mock_get_all,
mock_ogdwai,
mock_gro,
mock_gpl,
mock_gnl):
mock_get_all.return_value = [self.test_offer, self.test_offer_2]
mock_ogdwai.side_effect = [
_get_offer_response(self.test_offer, use_datetime=True),
_get_offer_response(self.test_offer_2, use_datetime=True)]
mock_gro.return_value = IronicNode('54321')
mock_gpl.return_value = []
mock_gnl.return_value = []
expected_filters = {'status': 'available',
'resource_uuid': '54321',
'resource_type': 'ironic_node'}
expected_resp = {'offers': [_get_offer_response(self.test_offer),
_get_offer_response(self.test_offer_2)]}
request = self.get_json(
'/offers/?resource_uuid=54321')
mock_gro.assert_called_once_with('ironic_node', '54321')
mock_get_all.assert_called_once_with(expected_filters, self.context)
mock_gpl.assert_called_once()
mock_gnl.assert_called_once()
assert mock_ogdwai.call_count == 2
self.assertEqual(request, expected_resp)
@mock.patch('esi_leap.common.ironic.get_node_list')
@mock.patch('esi_leap.common.keystone.get_project_list')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
@mock.patch('esi_leap.objects.offer.Offer.get_all')
@mock.patch('esi_leap.api.controllers.v1.utils.policy_authorize')
def test_get_lessee_filter(self, mock_authorize, mock_get_all,
mock_ogdwai, mock_gpl, mock_gnl):
mock_get_all.return_value = [self.test_offer, self.test_offer_2]
mock_ogdwai.side_effect = [
_get_offer_response(self.test_offer, use_datetime=True),
_get_offer_response(self.test_offer_2, use_datetime=True)]
mock_authorize.side_effect = [
None,
exception.HTTPForbidden(rule='esi_leap:offer:get')
]
mock_gpl.return_value = []
mock_gnl.return_value = []
expected_filters = {'status': 'available',
'lessee_id': self.context.project_id}
expected_resp = {'offers': [_get_offer_response(self.test_offer),
_get_offer_response(self.test_offer_2)]}
request = self.get_json('/offers')
mock_get_all.assert_called_once_with(expected_filters, self.context)
mock_gpl.assert_called_once()
mock_gnl.assert_called_once()
assert mock_ogdwai.call_count == 2
self.assertEqual(request, expected_resp)
@mock.patch('esi_leap.api.controllers.v1.utils.check_offer_lessee')
@mock.patch('esi_leap.api.controllers.v1.utils.'
'check_offer_policy_and_retrieve')
@mock.patch('esi_leap.api.controllers.v1.utils.' +
'offer_get_dict_with_added_info')
def test_get_one(self, mock_ogdwai, mock_copar, mock_col):
mock_copar.return_value = self.test_offer
mock_ogdwai.return_value = self.test_offer.to_dict()
self.get_json('/offers/' + self.test_offer.uuid)
mock_copar.assert_called_once_with(self.context,
'esi_leap:offer:get',
self.test_offer.uuid)
mock_col.assert_called_once_with(self.context.to_policy_values(),
self.test_offer)
mock_ogdwai.assert_called_once_with(self.test_offer)
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.objects.lease.Lease.create')
@mock.patch('esi_leap.api.controllers.v1.utils.check_offer_lessee')
@mock.patch('esi_leap.api.controllers.v1.utils.'
'check_offer_policy_and_retrieve')
@mock.patch('esi_leap.api.controllers.v1.utils.'
'lease_get_dict_with_added_info')
def test_claim(self, mock_lgdwai, mock_copar, mock_col, mock_lease_create,
mock_generate_uuid):
lease_uuid = '12345'
mock_generate_uuid.return_value = lease_uuid
mock_copar.return_value = self.test_offer
data = {
"name": "lease_claim",
"start_time": "2016-07-16T19:20:30",
"end_time": "2016-08-16T19:20:30"
}
request = self.post_json('/offers/' + self.test_offer.uuid + '/claim',
data)
mock_copar.assert_called_once_with(self.context,
'esi_leap:offer:claim',
self.test_offer.uuid,
statuses.AVAILABLE)
mock_col.assert_called_once_with(self.context.to_policy_values(),
self.test_offer)
mock_lease_create.assert_called_once()
mock_lgdwai.assert_called_once()
self.assertEqual(http_client.CREATED, request.status_int)
@mock.patch('oslo_utils.uuidutils.generate_uuid')
@mock.patch('esi_leap.objects.lease.Lease.create')
@mock.patch('esi_leap.api.controllers.v1.utils.check_offer_lessee')
@mock.patch('esi_leap.api.controllers.v1.utils.'
'check_offer_policy_and_retrieve')
@mock.patch('esi_leap.api.controllers.v1.utils.'
'lease_get_dict_with_added_info')
def test_claim_parent_lease(self, mock_lgdwai, mock_copar, mock_col,
mock_lease_create, mock_generate_uuid):
lease_uuid = '12345'
mock_generate_uuid.return_value = lease_uuid
mock_copar.return_value = self.test_offer_with_parent
data = {
"name": "lease_claim",
"start_time": "2016-07-16T19:20:30",
"end_time": "2016-08-16T19:20:30"
}
request = self.post_json(
'/offers/' + self.test_offer_with_parent.uuid + '/claim',
data)
mock_copar.assert_called_once_with(self.context,
'esi_leap:offer:claim',
self.test_offer_with_parent.uuid,
statuses.AVAILABLE)
mock_col.assert_called_once_with(self.context.to_policy_values(),
self.test_offer_with_parent)
mock_lease_create.assert_called_once()
mock_lgdwai.assert_called_once()
self.assertEqual(http_client.CREATED, request.status_int)
| 45.145663
| 78
| 0.641495
| 3,361
| 27,584
| 4.878905
| 0.059209
| 0.060373
| 0.084035
| 0.060495
| 0.907855
| 0.885657
| 0.85175
| 0.828455
| 0.807416
| 0.804366
| 0
| 0.020106
| 0.258918
| 27,584
| 610
| 79
| 45.219672
| 0.782066
| 0.019794
| 0
| 0.708647
| 0
| 0
| 0.192355
| 0.135773
| 0
| 0
| 0
| 0
| 0.148496
| 1
| 0.031955
| false
| 0
| 0.018797
| 0
| 0.054511
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
14cca30aaa322e0ca8993d37bb1572e15bd2820c
| 826
|
py
|
Python
|
kaifa_cnv/cnvdlinshi.py
|
AluuLL/initial-exper_python
|
048d78b2aa0af0947d4232e46c3bdded2cb63180
|
[
"MIT"
] | null | null | null |
kaifa_cnv/cnvdlinshi.py
|
AluuLL/initial-exper_python
|
048d78b2aa0af0947d4232e46c3bdded2cb63180
|
[
"MIT"
] | null | null | null |
kaifa_cnv/cnvdlinshi.py
|
AluuLL/initial-exper_python
|
048d78b2aa0af0947d4232e46c3bdded2cb63180
|
[
"MIT"
] | null | null | null |
file = open("/disk/lulu/database/cnvd/pro/linsh.pro.txt")
#f = open("out.txt", "w")
for line in file:
# print line,
list = line.strip().split("\t")
# print list
if "|" in list[0]:
list1 = list[0].strip().split("|")
print list1[0],"\t",list[1],"\t",list[2],"\t",list[3],"\t",list[4],"\t",list[5],"\t",list[6],"\t",list[7]
print list1[1],"\t",list[1],"\t",list[2],"\t",list[3],"\t",list[4],"\t",list[5],"\t",list[6],"\t",list[7]
elif ","in list[0]:
list1 = list[0].strip().split(",")
print list1[0], "\t", list[1], "\t", list[2], "\t", list[3], "\t", list[4], "\t", list[5], "\t", list[6], "\t", \
list[7]
print list1[1], "\t", list[1], "\t", list[2], "\t", list[3], "\t", list[4], "\t", list[5], "\t", list[6], "\t", \
list[7]
| 45.888889
| 122
| 0.455206
| 142
| 826
| 2.647887
| 0.21831
| 0.37234
| 0.095745
| 0.074468
| 0.707447
| 0.707447
| 0.707447
| 0.707447
| 0.707447
| 0.707447
| 0
| 0.064122
| 0.207022
| 826
| 17
| 123
| 48.588235
| 0.509924
| 0.059322
| 0
| 0.153846
| 0
| 0
| 0.137566
| 0.055556
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.307692
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
090b9e86193edbd41b5b2e2b94fddfa9fb46dad7
| 7,892
|
py
|
Python
|
tests/test_preproc.py
|
alexbarcelo/dislib
|
989f81f235ae30b17410a8d805df258c7d931b38
|
[
"Apache-2.0"
] | 36
|
2018-10-22T19:21:14.000Z
|
2022-03-22T12:10:01.000Z
|
tests/test_preproc.py
|
alexbarcelo/dislib
|
989f81f235ae30b17410a8d805df258c7d931b38
|
[
"Apache-2.0"
] | 329
|
2018-11-22T18:04:57.000Z
|
2022-03-18T01:26:55.000Z
|
tests/test_preproc.py
|
alexbarcelo/dislib
|
989f81f235ae30b17410a8d805df258c7d931b38
|
[
"Apache-2.0"
] | 21
|
2019-01-10T11:46:39.000Z
|
2022-03-17T12:59:45.000Z
|
import unittest
import numpy as np
from numpy.testing._private.parameterized import parameterized
from pycompss.api.api import compss_wait_on
from scipy.sparse import csr_matrix, issparse
from sklearn.datasets import make_blobs
from sklearn.preprocessing import StandardScaler as SkStandardScaler
from sklearn.preprocessing import MinMaxScaler as SkMinMaxScaler
import dislib as ds
from dislib.preprocessing import StandardScaler, MinMaxScaler
class MinMaxScalerTest(unittest.TestCase):
@parameterized.expand([((0, 1),),
((-1, 1),)])
def test_fit_transform(self, feature_range):
""" Tests fit_transform against scikit-learn.
"""
n_samples = 1500
x, y = make_blobs(n_samples=n_samples, random_state=170)
transformation = [[0.6, -0.6], [-0.4, 0.8]]
x = np.dot(x, transformation)
ds_arr = ds.array(x, block_size=(300, 2))
sc1 = SkMinMaxScaler(feature_range=feature_range)
scaled_x = sc1.fit_transform(x)
sc2 = MinMaxScaler(feature_range=feature_range)
ds_scaled = sc2.fit_transform(ds_arr)
self.assertTrue(np.allclose(scaled_x, ds_scaled.collect()))
self.assertTrue(np.allclose(sc1.data_min_, sc2.data_min_.collect()))
self.assertTrue(np.allclose(sc1.data_max_, sc2.data_max_.collect()))
self.assertEqual(ds_scaled._top_left_shape,
ds_scaled._blocks[0][0].shape)
self.assertEqual(ds_arr._reg_shape, ds_scaled._reg_shape)
self.assertEqual(ds_arr._top_left_shape, ds_scaled._top_left_shape)
self.assertEqual(ds_arr.shape, ds_scaled.shape)
self.assertEqual(ds_arr._n_blocks, ds_scaled._n_blocks)
@parameterized.expand([((0, 1),),
((-1, 1),)])
def test_sparse(self, feature_range):
""" Tests fit_transforms with sparse data"""
n_samples = 1500
x, y = make_blobs(n_samples=n_samples, random_state=170)
transformation = [[0.6, -0.6], [-0.4, 0.8]]
x = np.dot(x, transformation)
dense_arr = ds.array(x, block_size=(300, 2))
sparse_arr = ds.array(csr_matrix(x), block_size=(300, 2))
sc = MinMaxScaler(feature_range=feature_range)
dense_scaled = sc.fit_transform(dense_arr)
dense_min = sc.data_min_.collect()
dense_max = sc.data_max_.collect()
sparse_scaled = sc.fit_transform(sparse_arr)
sparse_min = sc.data_min_.collect()
sparse_max = sc.data_max_.collect()
csr_scaled = sparse_scaled.collect()
arr_scaled = dense_scaled.collect()
self.assertTrue(issparse(csr_scaled))
self.assertTrue(sparse_scaled._sparse)
self.assertTrue(sc.data_min_._sparse)
self.assertTrue(sc.data_max_._sparse)
self.assertTrue(issparse(sparse_min))
self.assertTrue(issparse(sparse_max))
self.assertTrue(np.allclose(csr_scaled.toarray(), arr_scaled))
self.assertTrue(np.allclose(sparse_min.toarray(), dense_min))
self.assertTrue(np.allclose(sparse_max.toarray(), dense_max))
@parameterized.expand([((0, 1),),
((-1, 1),)])
def test_irregular(self, feature_range):
""" Test with an irregular array """
n_samples = 1500
x, y = make_blobs(n_samples=n_samples, random_state=170)
transformation = [[0.6, -0.6], [-0.4, 0.8]]
x = np.dot(x, transformation)
ds_arr = ds.array(x, block_size=(300, 2))
ds_arr = ds_arr[297:602]
x = x[297:602]
sc1 = SkMinMaxScaler(feature_range=feature_range)
scaled_x = sc1.fit_transform(x)
sc2 = MinMaxScaler(feature_range=feature_range)
ds_scaled = sc2.fit_transform(ds_arr)
self.assertTrue(np.allclose(scaled_x, ds_scaled.collect()))
self.assertTrue(np.allclose(sc1.data_min_, sc2.data_min_.collect()))
self.assertTrue(np.allclose(sc1.data_max_, sc2.data_max_.collect()))
self.assertEqual(ds_scaled._top_left_shape,
compss_wait_on(ds_scaled._blocks[0][0]).shape)
self.assertEqual(ds_arr._reg_shape, ds_scaled._reg_shape)
self.assertEqual(ds_arr._top_left_shape, ds_scaled._top_left_shape)
self.assertEqual(ds_arr.shape, ds_scaled.shape)
self.assertEqual(ds_arr._n_blocks, ds_scaled._n_blocks)
class StandardScalerTest(unittest.TestCase):
def test_fit_transform(self):
""" Tests fit_transform against scikit-learn.
"""
n_samples = 1500
x, y = make_blobs(n_samples=n_samples, random_state=170)
transformation = [[0.6, -0.6], [-0.4, 0.8]]
x = np.dot(x, transformation)
ds_arr = ds.array(x, block_size=(300, 2))
sc1 = SkStandardScaler()
scaled_x = sc1.fit_transform(x)
sc2 = StandardScaler()
ds_scaled = sc2.fit_transform(ds_arr)
self.assertTrue(np.allclose(scaled_x, ds_scaled.collect()))
self.assertTrue(np.allclose(sc1.mean_, sc2.mean_.collect()))
self.assertTrue(np.allclose(sc1.var_, sc2.var_.collect()))
self.assertEqual(ds_scaled._top_left_shape,
ds_scaled._blocks[0][0].shape)
self.assertEqual(ds_arr._reg_shape, ds_scaled._reg_shape)
self.assertEqual(ds_arr._top_left_shape, ds_scaled._top_left_shape)
self.assertEqual(ds_arr.shape, ds_scaled.shape)
self.assertEqual(ds_arr._n_blocks, ds_scaled._n_blocks)
def test_sparse(self):
""" Tests fit_transforms with sparse data"""
n_samples = 1500
x, y = make_blobs(n_samples=n_samples, random_state=170)
transformation = [[0.6, -0.6], [-0.4, 0.8]]
x = np.dot(x, transformation)
dense_arr = ds.array(x, block_size=(300, 2))
sparse_arr = ds.array(csr_matrix(x), block_size=(300, 2))
sc = StandardScaler()
dense_scaled = sc.fit_transform(dense_arr)
dense_mean = sc.mean_.collect()
dense_var = sc.var_.collect()
sparse_scaled = sc.fit_transform(sparse_arr)
sparse_mean = sc.mean_.collect()
sparse_var = sc.var_.collect()
csr_scaled = sparse_scaled.collect()
arr_scaled = dense_scaled.collect()
self.assertTrue(issparse(csr_scaled))
self.assertTrue(sparse_scaled._sparse)
self.assertTrue(sc.var_._sparse)
self.assertTrue(sc.mean_._sparse)
self.assertTrue(issparse(sparse_mean))
self.assertTrue(issparse(sparse_var))
self.assertTrue(np.allclose(csr_scaled.toarray(), arr_scaled))
self.assertTrue(np.allclose(sparse_mean.toarray(), dense_mean))
self.assertTrue(np.allclose(sparse_var.toarray(), dense_var))
def test_irregular(self):
""" Test with an irregular array """
n_samples = 1500
x, y = make_blobs(n_samples=n_samples, random_state=170)
transformation = [[0.6, -0.6], [-0.4, 0.8]]
x = np.dot(x, transformation)
ds_arr = ds.array(x, block_size=(300, 2))
ds_arr = ds_arr[297:602]
x = x[297:602]
sc1 = SkStandardScaler()
scaled_x = sc1.fit_transform(x)
sc2 = StandardScaler()
ds_scaled = sc2.fit_transform(ds_arr)
self.assertTrue(np.allclose(scaled_x, ds_scaled.collect()))
self.assertTrue(np.allclose(sc1.mean_, sc2.mean_.collect()))
self.assertTrue(np.allclose(sc1.var_, sc2.var_.collect()))
self.assertEqual(ds_scaled._top_left_shape,
compss_wait_on(ds_scaled._blocks[0][0]).shape)
self.assertEqual(ds_arr._reg_shape, ds_scaled._reg_shape)
self.assertEqual(ds_arr._top_left_shape, ds_scaled._top_left_shape)
self.assertEqual(ds_arr.shape, ds_scaled.shape)
self.assertEqual(ds_arr._n_blocks, ds_scaled._n_blocks)
def main():
unittest.main()
if __name__ == '__main__':
main()
| 40.471795
| 76
| 0.656488
| 1,056
| 7,892
| 4.59375
| 0.090909
| 0.052773
| 0.070089
| 0.089054
| 0.831375
| 0.764791
| 0.764791
| 0.764791
| 0.730571
| 0.710781
| 0
| 0.032258
| 0.22225
| 7,892
| 194
| 77
| 40.680412
| 0.758065
| 0.03003
| 0
| 0.710526
| 0
| 0
| 0.00105
| 0
| 0
| 0
| 0
| 0
| 0.328947
| 1
| 0.046053
| false
| 0
| 0.065789
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
095d11accd6d26d86545848a372d89b7238775b2
| 42
|
py
|
Python
|
comemntarios.py
|
Hwizdaleck/Python
|
cec0a90cc21de5de5931bcfa2e37440ba0da1dfc
|
[
"MIT"
] | null | null | null |
comemntarios.py
|
Hwizdaleck/Python
|
cec0a90cc21de5de5931bcfa2e37440ba0da1dfc
|
[
"MIT"
] | null | null | null |
comemntarios.py
|
Hwizdaleck/Python
|
cec0a90cc21de5de5931bcfa2e37440ba0da1dfc
|
[
"MIT"
] | null | null | null |
print('ola mundo 1')
print('ola mundo 2')
| 14
| 20
| 0.666667
| 8
| 42
| 3.5
| 0.625
| 0.571429
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0.142857
| 42
| 2
| 21
| 21
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0.52381
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 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
| 7
|
f501df4b42de1ec7a2eb5954110e1768aad7a4eb
| 35,497
|
py
|
Python
|
lightning_module.py
|
ishine/ssl_speech_restoration
|
60f660d3e9d585d19981f31d2ac4f03479a74f59
|
[
"MIT"
] | 24
|
2022-03-25T01:38:50.000Z
|
2022-03-31T15:05:30.000Z
|
lightning_module.py
|
ishine/ssl_speech_restoration
|
60f660d3e9d585d19981f31d2ac4f03479a74f59
|
[
"MIT"
] | null | null | null |
lightning_module.py
|
ishine/ssl_speech_restoration
|
60f660d3e9d585d19981f31d2ac4f03479a74f59
|
[
"MIT"
] | 2
|
2022-03-25T02:08:47.000Z
|
2022-03-25T02:11:53.000Z
|
import torch
import pytorch_lightning as pl
import torchaudio
import os
import pathlib
import tqdm
from model import (
EncoderModule,
ChannelFeatureModule,
ChannelModule,
MultiScaleSpectralLoss,
GSTModule,
)
from utils import (
manual_logging,
load_vocoder,
plot_and_save_mels,
plot_and_save_mels_all,
)
class PretrainLightningModule(pl.LightningModule):
"""
Supervised pretraining for low-resource settings.
This module provides supervised pretraining for the analysis and channel modules.
"""
def __init__(self, config):
super().__init__()
self.save_hyperparameters()
self.config = config
if config["general"]["use_gst"]:
self.encoder = EncoderModule(config)
self.gst = GSTModule(config)
else:
self.encoder = EncoderModule(config, use_channel=True)
self.channelfeats = ChannelFeatureModule(config)
self.channel = ChannelModule(config)
self.vocoder = load_vocoder(config)
self.criteria_a = MultiScaleSpectralLoss(config)
if "feature_loss" in config["train"]:
if config["train"]["feature_loss"]["type"] == "mae":
self.criteria_b = torch.nn.L1Loss()
else:
self.criteria_b = torch.nn.MSELoss()
else:
self.criteria = torch.nn.L1Loss()
self.alpha = config["train"]["alpha"]
def forward(self, melspecs, wavsaux):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(melspecs.unsqueeze(1).transpose(2, 3))
chfeats = self.gst(melspecs.transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(melspecs.unsqueeze(1).transpose(2, 3))
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
wavsdeg = self.channel(wavsaux, chfeats)
return enc_out, wavsdeg
def training_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
wavsdeg = self.channel(batch["wavsaux"], chfeats)
loss_recons = self.criteria_a(wavsdeg, batch["wavs"])
if self.config["general"]["feature_type"] == "melspec":
loss_encoder = self.criteria_b(enc_out, batch["melspecsaux"])
elif self.config["general"]["feature_type"] == "vocfeats":
loss_encoder = self.criteria_b(enc_out, batch["melceps"])
loss = self.alpha * loss_recons + (1.0 - self.alpha) * loss_encoder
self.log(
"train_loss", loss, on_step=True, on_epoch=True, prog_bar=True, logger=True
)
self.log(
"train_loss_recons",
loss_recons,
on_step=True,
on_epoch=True,
prog_bar=True,
logger=True,
)
self.log(
"train_loss_encoder",
loss_encoder,
on_step=True,
on_epoch=True,
prog_bar=True,
logger=True,
)
return loss
def validation_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
wavsdeg = self.channel(batch["wavsaux"], chfeats)
loss_recons = self.criteria_a(wavsdeg, batch["wavs"])
if self.config["general"]["feature_type"] == "melspec":
val_aux_feats = batch["melspecsaux"]
feats_name = "melspec"
loss_encoder = self.criteria_b(enc_out, val_aux_feats)
elif self.config["general"]["feature_type"] == "vocfeats":
val_aux_feats = batch["melceps"]
feats_name = "melcep"
loss_encoder = self.criteria_b(enc_out, val_aux_feats)
loss = self.alpha * loss_recons + (1.0 - self.alpha) * loss_encoder
logger_img_dict = {
"val_src_melspec": batch["melspecs"],
"val_pred_{}".format(feats_name): enc_out,
"val_aux_{}".format(feats_name): val_aux_feats,
}
logger_wav_dict = {
"val_src_wav": batch["wavs"],
"val_pred_wav": wavsdeg,
"val_aux_wav": batch["wavsaux"],
}
return {
"val_loss": loss,
"val_loss_recons": loss_recons,
"val_loss_encoder": loss_encoder,
"logger_dict": [logger_img_dict, logger_wav_dict],
}
def validation_epoch_end(self, outputs):
val_loss = torch.stack([out["val_loss"] for out in outputs]).mean().item()
val_loss_recons = (
torch.stack([out["val_loss_recons"] for out in outputs]).mean().item()
)
val_loss_encoder = (
torch.stack([out["val_loss_encoder"] for out in outputs]).mean().item()
)
self.log("val_loss", val_loss, on_epoch=True, prog_bar=True, logger=True)
self.log(
"val_loss_recons",
val_loss_recons,
on_epoch=True,
prog_bar=True,
logger=True,
)
self.log(
"val_loss_encoder",
val_loss_encoder,
on_epoch=True,
prog_bar=True,
logger=True,
)
self.tflogger(logger_dict=outputs[-1]["logger_dict"][0], data_type="image")
self.tflogger(logger_dict=outputs[-1]["logger_dict"][1], data_type="audio")
def test_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
wavsdeg = self.channel(batch["wavsaux"], chfeats)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
enc_feats_aux = batch["melspecsaux"]
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
enc_feats_aux = torch.cat(
(batch["f0s"].unsqueeze(1), batch["melceps"]), dim=1
)
recons_wav = self.vocoder(enc_feats_aux).squeeze(1)
remas = self.vocoder(enc_feats).squeeze(1)
if self.config["general"]["feature_type"] == "melspec":
enc_feats_input = batch["melspecs"]
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats_input = torch.cat(
(batch["f0s"].unsqueeze(1), batch["melcepssrc"]), dim=1
)
input_recons = self.vocoder(enc_feats_input).squeeze(1)
if "wavsaux" in batch:
gt_wav = batch["wavsaux"]
else:
gt_wav = None
return {
"reconstructed": recons_wav,
"remastered": remas,
"channeled": wavsdeg,
"groundtruth": gt_wav,
"input": batch["wavs"],
"input_recons": input_recons,
}
def test_epoch_end(self, outputs):
wav_dir = (
pathlib.Path(self.logger.experiment[0].log_dir).parent.parent / "test_wavs"
)
os.makedirs(wav_dir, exist_ok=True)
mel_dir = (
pathlib.Path(self.logger.experiment[0].log_dir).parent.parent / "test_mels"
)
os.makedirs(mel_dir, exist_ok=True)
print("Saving mel spectrogram plots ...")
for idx, out in enumerate(tqdm.tqdm(outputs)):
for key in [
"reconstructed",
"remastered",
"channeled",
"input",
"input_recons",
"groundtruth",
]:
if out[key] != None:
torchaudio.save(
wav_dir / "{}-{}.wav".format(idx, key),
out[key][0, ...].unsqueeze(0).cpu(),
sample_rate=self.config["preprocess"]["sampling_rate"],
channels_first=True,
)
plot_and_save_mels(
out[key][0, ...].cpu(),
mel_dir / "{}-{}.png".format(idx, key),
self.config,
)
plot_and_save_mels_all(
out,
[
"reconstructed",
"remastered",
"channeled",
"input",
"input_recons",
"groundtruth",
],
mel_dir / "{}-all.png".format(idx),
self.config,
)
def configure_optimizers(self):
optimizer = torch.optim.Adam(
self.parameters(), lr=self.config["train"]["learning_rate"]
)
lr_scheduler_config = {
"scheduler": torch.optim.lr_scheduler.ReduceLROnPlateau(
optimizer, mode="min", factor=0.5, min_lr=1e-5, verbose=True
),
"interval": "epoch",
"frequency": 3,
"monitor": "val_loss",
}
return {"optimizer": optimizer, "lr_scheduler": lr_scheduler_config}
def tflogger(self, logger_dict, data_type):
for lg in self.logger.experiment:
if type(lg).__name__ == "SummaryWriter":
tensorboard = lg
for key in logger_dict.keys():
manual_logging(
logger=tensorboard,
item=logger_dict[key],
idx=0,
tag=key,
global_step=self.global_step,
data_type=data_type,
config=self.config,
)
class SSLBaseModule(pl.LightningModule):
def __init__(self, config):
super().__init__()
self.save_hyperparameters()
self.config = config
if config["general"]["use_gst"]:
self.encoder = EncoderModule(config)
self.gst = GSTModule(config)
else:
self.encoder = EncoderModule(config, use_channel=True)
self.channelfeats = ChannelFeatureModule(config)
self.channel = ChannelModule(config)
if config["train"]["load_pretrained"]:
pre_model = PretrainLightningModule.load_from_checkpoint(
checkpoint_path=config["train"]["pretrained_path"]
)
self.encoder.load_state_dict(pre_model.encoder.state_dict(), strict=False)
self.channel.load_state_dict(pre_model.channel.state_dict(), strict=False)
if config["general"]["use_gst"]:
self.gst.load_state_dict(pre_model.gst.state_dict(), strict=False)
else:
self.channelfeats.load_state_dict(
pre_model.channelfeats.state_dict(), strict=False
)
self.vocoder = load_vocoder(config)
self.criteria = self.get_loss_function(config)
def training_step(self, batch, batch_idx):
raise NotImplementedError()
def validation_step(self, batch, batch_idx):
raise NotImplementedError()
def validation_epoch_end(self, outputs):
raise NotImplementedError()
def configure_optimizers(self):
raise NotImplementedError()
def get_loss_function(self, config):
raise NotImplementedError()
def forward(self, melspecs, f0s=None):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(melspecs.unsqueeze(1).transpose(2, 3))
chfeats = self.gst(melspecs.transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(melspecs.unsqueeze(1).transpose(2, 3))
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((f0s.unsqueeze(1), enc_out), dim=1)
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
return remas, wavsdeg
def test_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
if self.config["general"]["feature_type"] == "melspec":
enc_feats_input = batch["melspecs"]
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats_input = torch.cat(
(batch["f0s"].unsqueeze(1), batch["melcepssrc"]), dim=1
)
input_recons = self.vocoder(enc_feats_input).squeeze(1)
if "wavsaux" in batch:
gt_wav = batch["wavsaux"]
if self.config["general"]["feature_type"] == "melspec":
enc_feats_aux = batch["melspecsaux"]
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats_aux = torch.cat(
(batch["f0s"].unsqueeze(1), batch["melceps"]), dim=1
)
recons_wav = self.vocoder(enc_feats_aux).squeeze(1)
else:
gt_wav = None
recons_wav = None
return {
"reconstructed": recons_wav,
"remastered": remas,
"channeled": wavsdeg,
"input": batch["wavs"],
"input_recons": input_recons,
"groundtruth": gt_wav,
}
def test_epoch_end(self, outputs):
wav_dir = (
pathlib.Path(self.logger.experiment[0].log_dir).parent.parent / "test_wavs"
)
os.makedirs(wav_dir, exist_ok=True)
mel_dir = (
pathlib.Path(self.logger.experiment[0].log_dir).parent.parent / "test_mels"
)
os.makedirs(mel_dir, exist_ok=True)
print("Saving mel spectrogram plots ...")
for idx, out in enumerate(tqdm.tqdm(outputs)):
plot_keys = []
for key in [
"reconstructed",
"remastered",
"channeled",
"input",
"input_recons",
"groundtruth",
]:
if out[key] != None:
plot_keys.append(key)
torchaudio.save(
wav_dir / "{}-{}.wav".format(idx, key),
out[key][0, ...].unsqueeze(0).cpu(),
sample_rate=self.config["preprocess"]["sampling_rate"],
channels_first=True,
)
plot_and_save_mels(
out[key][0, ...].cpu(),
mel_dir / "{}-{}.png".format(idx, key),
self.config,
)
plot_and_save_mels_all(
out,
plot_keys,
mel_dir / "{}-all.png".format(idx),
self.config,
)
def tflogger(self, logger_dict, data_type):
for lg in self.logger.experiment:
if type(lg).__name__ == "SummaryWriter":
tensorboard = lg
for key in logger_dict.keys():
manual_logging(
logger=tensorboard,
item=logger_dict[key],
idx=0,
tag=key,
global_step=self.global_step,
data_type=data_type,
config=self.config,
)
class SSLStepLightningModule(SSLBaseModule):
"""
Self-supervised speech restoration model
with fine-tuning supervisedly pretrained model,
correspond to ``SSL-pre'' in the paper.
This module provises step-wise learning, which only trains the channel module at early epochs
and then only train the analysis module ar later epochs to stabilize the traininig.
"""
def __init__(self, config):
super().__init__(config)
if config["train"]["fix_channel"]:
for param in self.channel.parameters():
param.requires_grad = False
def training_step(self, batch, batch_idx, optimizer_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
loss = self.criteria(wavsdeg, batch["wavs"])
self.log(
"train_loss",
loss,
on_step=True,
on_epoch=True,
prog_bar=True,
logger=True,
)
return loss
def validation_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
feats_name = "melspec"
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
feats_name = "melcep"
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
loss = self.criteria(wavsdeg, batch["wavs"])
logger_img_dict = {
"val_src_melspec": batch["melspecs"],
"val_pred_{}".format(feats_name): enc_out,
}
for auxfeats in ["melceps", "melspecsaux"]:
if auxfeats in batch:
logger_img_dict["val_aux_{}".format(auxfeats)] = batch[auxfeats]
logger_wav_dict = {
"val_src_wav": batch["wavs"],
"val_remastered_wav": remas,
"val_pred_wav": wavsdeg,
}
if "wavsaux" in batch:
logger_wav_dict["val_aux_wav"] = batch["wavsaux"]
d_out = {"val_loss": loss, "logger_dict": [logger_img_dict, logger_wav_dict]}
return d_out
def validation_epoch_end(self, outputs):
self.log(
"val_loss",
torch.stack([out["val_loss"] for out in outputs]).mean().item(),
on_epoch=True,
prog_bar=True,
logger=True,
)
self.tflogger(logger_dict=outputs[-1]["logger_dict"][0], data_type="image")
self.tflogger(logger_dict=outputs[-1]["logger_dict"][1], data_type="audio")
def optimizer_step(
self,
epoch,
batch_idx,
optimizer,
optimizer_idx,
optimizer_closure,
on_tpu=False,
using_native_amp=False,
using_lbfgs=False,
):
if epoch < self.config["train"]["epoch_channel"]:
if optimizer_idx == 0:
optimizer.step(closure=optimizer_closure)
elif optimizer_idx == 1:
optimizer_closure()
else:
if optimizer_idx == 0:
optimizer_closure()
elif optimizer_idx == 1:
optimizer.step(closure=optimizer_closure)
def configure_optimizers(self):
if self.config["train"]["fix_channel"]:
if self.config["general"]["use_gst"]:
optimizer_channel = torch.optim.Adam(
self.gst.parameters(), lr=self.config["train"]["learning_rate"]
)
else:
optimizer_channel = torch.optim.Adam(
self.channelfeats.parameters(),
lr=self.config["train"]["learning_rate"],
)
optimizer_encoder = torch.optim.Adam(
self.encoder.parameters(), lr=self.config["train"]["learning_rate"]
)
else:
if self.config["general"]["use_gst"]:
optimizer_channel = torch.optim.Adam(
[
{"params": self.channel.parameters()},
{"params": self.gst.parameters()},
],
lr=self.config["train"]["learning_rate"],
)
else:
optimizer_channel = torch.optim.Adam(
[
{"params": self.channel.parameters()},
{"params": self.channelfeats.parameters()},
],
lr=self.config["train"]["learning_rate"],
)
optimizer_encoder = torch.optim.Adam(
self.encoder.parameters(), lr=self.config["train"]["learning_rate"]
)
optimizers = [optimizer_channel, optimizer_encoder]
schedulers = [
{
"scheduler": torch.optim.lr_scheduler.ReduceLROnPlateau(
optimizers[0], mode="min", factor=0.5, min_lr=1e-5, verbose=True
),
"interval": "epoch",
"frequency": 3,
"monitor": "val_loss",
},
{
"scheduler": torch.optim.lr_scheduler.ReduceLROnPlateau(
optimizers[1], mode="min", factor=0.5, min_lr=1e-5, verbose=True
),
"interval": "epoch",
"frequency": 3,
"monitor": "val_loss",
},
]
return optimizers, schedulers
def get_loss_function(self, config):
return MultiScaleSpectralLoss(config)
class SSLDualLightningModule(SSLBaseModule):
"""
Self-supervised speech restoration model with dual learning,
correspond to ``SSL-dual'' or ``SSL-dual-pre'' in the paper.
This module provises dual-learning.
In addition to the basic training framework, we introduce a training task that
propagates information in the reverse direction.
"""
def __init__(self, config):
super().__init__(config)
if config["train"]["fix_channel"]:
for param in self.channel.parameters():
param.requires_grad = False
self.spec_module = torchaudio.transforms.MelSpectrogram(
sample_rate=config["preprocess"]["sampling_rate"],
n_fft=config["preprocess"]["fft_length"],
win_length=config["preprocess"]["frame_length"],
hop_length=config["preprocess"]["frame_shift"],
f_min=config["preprocess"]["fmin"],
f_max=config["preprocess"]["fmax"],
n_mels=config["preprocess"]["n_mels"],
power=1,
center=True,
norm="slaney",
mel_scale="slaney",
)
self.beta = config["train"]["beta"]
self.criteria_a, self.criteria_b = self.get_loss_function(config)
def training_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
loss_recons = self.criteria_a(wavsdeg, batch["wavs"])
with torch.no_grad():
wavsdegtask = self.channel(batch["wavstask"], chfeats)
melspecstask = self.calc_spectrogram(wavsdegtask)
if self.config["general"]["use_gst"]:
enc_out_task = self.encoder(melspecstask.unsqueeze(1).transpose(2, 3))
else:
enc_out_task, _ = self.encoder(melspecstask.unsqueeze(1).transpose(2, 3))
enc_out_task = enc_out_task.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
loss_task = self.criteria_b(enc_out_task, batch["melspecstask"])
elif self.config["general"]["feature_type"] == "vocfeats":
loss_task = self.criteria_b(enc_out_task, batch["melcepstask"])
loss = self.beta * loss_recons + (1 - self.beta) * loss_task
self.log(
"train_loss", loss, on_step=True, on_epoch=True, prog_bar=True, logger=True
)
self.log(
"train_loss_recons",
loss_recons,
on_step=True,
on_epoch=True,
prog_bar=True,
logger=True,
)
self.log(
"train_loss_task",
loss_task,
on_step=True,
on_epoch=True,
prog_bar=True,
logger=True,
)
return loss
def validation_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
feats_name = "melspec"
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
feats_name = "melcep"
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
loss_recons = self.criteria_a(wavsdeg, batch["wavs"])
wavsdegtask = self.channel(batch["wavstask"], chfeats)
melspecstask = self.calc_spectrogram(wavsdegtask)
if self.config["general"]["use_gst"]:
enc_out_task = self.encoder(melspecstask.unsqueeze(1).transpose(2, 3))
else:
enc_out_task, _ = self.encoder(melspecstask.unsqueeze(1).transpose(2, 3))
enc_out_task = enc_out_task.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_out_task_truth = batch["melspecstask"]
loss_task = self.criteria_b(enc_out_task, enc_out_task_truth)
elif self.config["general"]["feature_type"] == "vocfeats":
enc_out_task_truth = batch["melcepstask"]
loss_task = self.criteria_b(enc_out_task, enc_out_task_truth)
loss = self.beta * loss_recons + (1 - self.beta) * loss_task
logger_img_dict = {
"val_src_melspec": batch["melspecs"],
"val_pred_{}".format(feats_name): enc_out,
"val_truth_{}_task".format(feats_name): enc_out_task_truth,
"val_pred_{}_task".format(feats_name): enc_out_task,
}
for auxfeats in ["melceps", "melspecsaux"]:
if auxfeats in batch:
logger_img_dict["val_aux_{}".format(auxfeats)] = batch[auxfeats]
logger_wav_dict = {
"val_src_wav": batch["wavs"],
"val_remastered_wav": remas,
"val_pred_wav": wavsdeg,
"val_truth_wavtask": batch["wavstask"],
"val_deg_wavtask": wavsdegtask,
}
if "wavsaux" in batch:
logger_wav_dict["val_aux_wav"] = batch["wavsaux"]
d_out = {
"val_loss": loss,
"val_loss_recons": loss_recons,
"val_loss_task": loss_task,
"logger_dict": [logger_img_dict, logger_wav_dict],
}
return d_out
def validation_epoch_end(self, outputs):
self.log(
"val_loss",
torch.stack([out["val_loss"] for out in outputs]).mean().item(),
on_epoch=True,
prog_bar=True,
logger=True,
)
self.log(
"val_loss_recons",
torch.stack([out["val_loss_recons"] for out in outputs]).mean().item(),
on_epoch=True,
prog_bar=True,
logger=True,
)
self.log(
"val_loss_task",
torch.stack([out["val_loss_task"] for out in outputs]).mean().item(),
on_epoch=True,
prog_bar=True,
logger=True,
)
self.tflogger(logger_dict=outputs[-1]["logger_dict"][0], data_type="image")
self.tflogger(logger_dict=outputs[-1]["logger_dict"][1], data_type="audio")
def test_step(self, batch, batch_idx):
if self.config["general"]["use_gst"]:
enc_out = self.encoder(batch["melspecs"].unsqueeze(1).transpose(2, 3))
chfeats = self.gst(batch["melspecs"].transpose(1, 2))
else:
enc_out, enc_hidden = self.encoder(
batch["melspecs"].unsqueeze(1).transpose(2, 3)
)
chfeats = self.channelfeats(enc_hidden)
enc_out = enc_out.squeeze(1).transpose(1, 2)
if self.config["general"]["feature_type"] == "melspec":
enc_feats = enc_out
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats = torch.cat((batch["f0s"].unsqueeze(1), enc_out), dim=1)
remas = self.vocoder(enc_feats).squeeze(1)
wavsdeg = self.channel(remas, chfeats)
if self.config["general"]["feature_type"] == "melspec":
enc_feats_input = batch["melspecs"]
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats_input = torch.cat(
(batch["f0s"].unsqueeze(1), batch["melcepssrc"]), dim=1
)
input_recons = self.vocoder(enc_feats_input).squeeze(1)
wavsdegtask = self.channel(batch["wavstask"], chfeats)
if "wavsaux" in batch:
gt_wav = batch["wavsaux"]
if self.config["general"]["feature_type"] == "melspec":
enc_feats_aux = batch["melspecsaux"]
elif self.config["general"]["feature_type"] == "vocfeats":
enc_feats_aux = torch.cat(
(batch["f0s"].unsqueeze(1), batch["melceps"]), dim=1
)
recons_wav = self.vocoder(enc_feats_aux).squeeze(1)
else:
gt_wav = None
recons_wav = None
return {
"reconstructed": recons_wav,
"remastered": remas,
"channeled": wavsdeg,
"channeled_task": wavsdegtask,
"input": batch["wavs"],
"input_recons": input_recons,
"groundtruth": gt_wav,
}
def test_epoch_end(self, outputs):
wav_dir = (
pathlib.Path(self.logger.experiment[0].log_dir).parent.parent / "test_wavs"
)
os.makedirs(wav_dir, exist_ok=True)
mel_dir = (
pathlib.Path(self.logger.experiment[0].log_dir).parent.parent / "test_mels"
)
os.makedirs(mel_dir, exist_ok=True)
print("Saving mel spectrogram plots ...")
for idx, out in enumerate(tqdm.tqdm(outputs)):
plot_keys = []
for key in [
"reconstructed",
"remastered",
"channeled",
"channeled_task",
"input",
"input_recons",
"groundtruth",
]:
if out[key] != None:
plot_keys.append(key)
torchaudio.save(
wav_dir / "{}-{}.wav".format(idx, key),
out[key][0, ...].unsqueeze(0).cpu(),
sample_rate=self.config["preprocess"]["sampling_rate"],
channels_first=True,
)
plot_and_save_mels(
out[key][0, ...].cpu(),
mel_dir / "{}-{}.png".format(idx, key),
self.config,
)
plot_and_save_mels_all(
out,
plot_keys,
mel_dir / "{}-all.png".format(idx),
self.config,
)
def configure_optimizers(self):
optimizer = torch.optim.Adam(
self.parameters(), lr=self.config["train"]["learning_rate"]
)
lr_scheduler_config = {
"scheduler": torch.optim.lr_scheduler.ReduceLROnPlateau(
optimizer, mode="min", factor=0.5, min_lr=1e-5, verbose=True
),
"interval": "epoch",
"frequency": 3,
"monitor": "val_loss",
}
return {"optimizer": optimizer, "lr_scheduler": lr_scheduler_config}
def calc_spectrogram(self, wav):
specs = self.spec_module(wav)
log_spec = torch.log(
torch.clamp_min(specs, self.config["preprocess"]["min_magnitude"])
* self.config["preprocess"]["comp_factor"]
).to(torch.float32)
return log_spec
def get_loss_function(self, config):
if config["train"]["feature_loss"]["type"] == "mae":
feature_loss = torch.nn.L1Loss()
else:
feature_loss = torch.nn.MSELoss()
return MultiScaleSpectralLoss(config), feature_loss
| 39.484983
| 97
| 0.548948
| 3,830
| 35,497
| 4.865274
| 0.073629
| 0.027691
| 0.044703
| 0.043791
| 0.853172
| 0.832671
| 0.820597
| 0.78126
| 0.768702
| 0.75491
| 0
| 0.010951
| 0.323436
| 35,497
| 898
| 98
| 39.528953
| 0.764948
| 0.020452
| 0
| 0.745763
| 0
| 0
| 0.121652
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042373
| false
| 0
| 0.009685
| 0.001211
| 0.077482
| 0.003632
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
eebacc5d685ce0cf79cc10d7946472fed9e074a9
| 299
|
py
|
Python
|
act/api/re.py
|
geirskjo/act-api-python
|
f3ede29ce397b89a9eb964591912fa338479619b
|
[
"0BSD"
] | null | null | null |
act/api/re.py
|
geirskjo/act-api-python
|
f3ede29ce397b89a9eb964591912fa338479619b
|
[
"0BSD"
] | null | null | null |
act/api/re.py
|
geirskjo/act-api-python
|
f3ede29ce397b89a9eb964591912fa338479619b
|
[
"0BSD"
] | null | null | null |
UUID_MATCH = r"^[a-z0-9]{8}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{12}$"
UUID = r"(?P<uuid>[a-z0-9]{8}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{12})"
TIMESTAMP_MATCH = r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}.\d{3}Z$"
TIMESTAMP = r"(?P<timestamp>\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}.\d{3}Z)"
| 59.8
| 80
| 0.471572
| 86
| 299
| 1.616279
| 0.186047
| 0.215827
| 0.28777
| 0.215827
| 0.604317
| 0.604317
| 0.604317
| 0.604317
| 0.604317
| 0.604317
| 0
| 0.160279
| 0.040134
| 299
| 4
| 81
| 74.75
| 0.324042
| 0
| 0
| 0
| 0
| 1
| 0.779264
| 0.779264
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
eebb5208bab613754cd419ccaf8af0810eb4bf57
| 9,500
|
py
|
Python
|
tests/test_batch_feed.py
|
pacu/phron
|
03d6b0cb997b361bb1c7fe6a1be5414638036450
|
[
"Apache-2.0"
] | null | null | null |
tests/test_batch_feed.py
|
pacu/phron
|
03d6b0cb997b361bb1c7fe6a1be5414638036450
|
[
"Apache-2.0"
] | null | null | null |
tests/test_batch_feed.py
|
pacu/phron
|
03d6b0cb997b361bb1c7fe6a1be5414638036450
|
[
"Apache-2.0"
] | null | null | null |
import unittest
import sys
from phron import twitter_feed_batch
class TestBatchExtraction(unittest.TestCase):
def test_extract_arguments(self):
"""given a set of parameters extract them"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C','D', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value,twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value]
expect = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value : True,
twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value : True,
twitter_feed_batch._AcceptedArgumentKeys.append_categories.value : ['A', 'B','C','D'],
twitter_feed_batch._AcceptedArgumentKeys.output_format.value : 'csv'
}
self.assertDictContainsSubset(twitter_feed_batch.extract_arguments(argv=given),expect)
def test_no_categories(self):
"""given a set of parameters without explicit categories extract them"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value,twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value]
expect = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value : True,
twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value : True,
twitter_feed_batch._AcceptedArgumentKeys.output_format.value : 'csv'
}
self.assertDictEqual(twitter_feed_batch.extract_arguments(argv=given),expect)
def test_unmatching_categories(self):
"""given a set of parameters that don't match expect an exception"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value,twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value]
self.assertRaises(twitter_feed_batch.InvalidArgument, lambda: twitter_feed_batch.extract_arguments(argv=given))
def test_unmatching_names(self):
"""given a set of scren names that don't match expect an exception"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C','D', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value,twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value]
self.assertRaises(twitter_feed_batch.InvalidArgument, lambda: twitter_feed_batch.extract_arguments(argv=given))
def test_missing_names(self):
"""given a set of parameters missing the screen names expect an exception"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value,twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value]
self.assertRaises(twitter_feed_batch.InvalidArgument, lambda: twitter_feed_batch.extract_arguments(argv=given))
def test_weka_unfriendly(self):
"""given a set of parameters not including --weka-friendly, extract them"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C','D',twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value]
expect = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value : False,
twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value : True,
twitter_feed_batch._AcceptedArgumentKeys.append_categories.value : ['A', 'B','C','D'],
twitter_feed_batch._AcceptedArgumentKeys.output_format.value : 'csv'
}
self.assertDictContainsSubset(twitter_feed_batch.extract_arguments(argv=given),expect)
def test_exclude_retweets(self):
"""given a set of parameters extract them"""
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C','D', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value]
expect = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value : True,
twitter_feed_batch._AcceptedArgumentKeys.include_retweets.value : False,
twitter_feed_batch._AcceptedArgumentKeys.append_categories.value : ['A', 'B','C','D'],
twitter_feed_batch._AcceptedArgumentKeys.output_format.value : 'csv'
}
self.assertDictContainsSubset(twitter_feed_batch.extract_arguments(argv=given),expect)
## private methods tests
def test_extract_argument_array_after_key(self):
""" given an array of arguments test if the trailing array is for key is parsed properly """
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C','D', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value]
expect = ['name_1', 'name_2', 'name_3', 'name_4']
self.assertEqual(twitter_feed_batch._extract_argument_array_after_key(twitter_feed_batch._AcceptedArgumentKeys.screen_names.value,argv=given),expect)
def test_extract_argument_array_after_key_categories(self):
""" given an array of arguments test if the trailing array is for key is parsed properly """
given = [sys.path, twitter_feed_batch._AcceptedArgumentKeys.screen_names.value, 'name_1', 'name_2', 'name_3', 'name_4', twitter_feed_batch._AcceptedArgumentKeys.output_format.value, 'csv', twitter_feed_batch._AcceptedArgumentKeys.append_categories.value, 'A', 'B','C','D', twitter_feed_batch._AcceptedArgumentKeys.weka_friendly.value]
expect = ['A', 'B','C','D']
self.assertEqual(twitter_feed_batch._extract_argument_array_after_key(twitter_feed_batch._AcceptedArgumentKeys.append_categories.value,argv=given),expect)
def test_valid_screen_names(self):
""" given an argument dict test that the screen names are valid """
given_valid = {twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4']}
given_invalid = {}
self.assertTrue(twitter_feed_batch._valid_screen_names_count(dict=given_valid))
self.assertFalse(twitter_feed_batch._valid_screen_names_count(dict=given_invalid))
def test_screen_name_and_categories_consistency(self):
""" given an argument dictionary test that appending categories match the screen names count """
given_valid = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.append_categories.value : ['A', 'B','C','D']
}
self.assertTrue(twitter_feed_batch._valid_categories_screen_name(dict=given_valid))
given_invalid_count = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_2', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.append_categories.value : ['A','C','D']
}
self.assertFalse(twitter_feed_batch._valid_categories_screen_name(dict=given_invalid_count))
given_invalid_count_names = {
twitter_feed_batch._AcceptedArgumentKeys.screen_names.value : ['name_1', 'name_3', 'name_4'],
twitter_feed_batch._AcceptedArgumentKeys.append_categories.value : ['A', 'B','C','D']
}
self.assertFalse(twitter_feed_batch._valid_categories_screen_name(dict=given_invalid_count_names))
| 67.375887
| 406
| 0.725474
| 1,107
| 9,500
| 5.813911
| 0.085818
| 0.145277
| 0.211311
| 0.374767
| 0.912679
| 0.912057
| 0.887042
| 0.85954
| 0.856433
| 0.83064
| 0
| 0.008368
| 0.169789
| 9,500
| 141
| 407
| 67.375887
| 0.807658
| 0.079789
| 0
| 0.419753
| 0
| 0
| 0.056669
| 0
| 0
| 0
| 0
| 0
| 0.17284
| 1
| 0.135802
| false
| 0
| 0.037037
| 0
| 0.185185
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 8
|
e108ce0a3d4aaadd847773a52bdc1172f4ed7b7c
| 6,460
|
py
|
Python
|
model_multi.py
|
IllgamhoDuck/ResTR
|
2b33ca09fcde0f0a2a387476542f404d8a4408a1
|
[
"MIT"
] | 1
|
2020-09-07T07:59:36.000Z
|
2020-09-07T07:59:36.000Z
|
model_multi.py
|
IllgamhoDuck/ResTR
|
2b33ca09fcde0f0a2a387476542f404d8a4408a1
|
[
"MIT"
] | null | null | null |
model_multi.py
|
IllgamhoDuck/ResTR
|
2b33ca09fcde0f0a2a387476542f404d8a4408a1
|
[
"MIT"
] | 1
|
2019-03-27T08:11:53.000Z
|
2019-03-27T08:11:53.000Z
|
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 17 15:02:01 2018
@author: hyunb
"""
import torch
import torch.nn as nn
from RN import RN
from TN import TN
from SN import SN
from FC import FC
from BN import TSF, TRF, TRSF, TRSF_TRN
from CNN import cnn
class cnn_SN_FC(nn.Module):
def __init__(self, args):
super(cnn_SN_FC, self).__init__()
self.batch_size = args[0]
self.cuda = args[1]
b = self.batch_size
cuda = self.cuda
self.cnn = cnn()
self.sn = SN(b, 24, 8, 8, 64, cuda=cuda, method=1)
self.fc = FC(24, 8, 8, 64, cuda)
self.final = nn.Sequential(
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.ReLU(),
nn.Linear(32, 2)
)
def forward(self, img):
x = self.cnn(img)
sn_x = self.sn(x)
fc_x = self.fc(x)
z = torch.cat([sn_x, fc_x], 1) # (n, 128)
return self.final(z)
class cnn_TN_FC(nn.Module):
def __init__(self, args):
super(cnn_TN_FC, self).__init__()
self.batch_size = args[0]
self.cuda = args[1]
b = self.batch_size
cuda = self.cuda
self.cnn = cnn()
self.tn = TN(b, 24, 8, 8, 64, cuda=cuda, method=1)
self.fc = FC(24, 8, 8, 64, cuda)
self.final = nn.Sequential(
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.ReLU(),
nn.Linear(32, 2)
)
def forward(self, img):
x = self.cnn(img)
tn_x = self.tn(x)
fc_x = self.fc(x)
z = torch.cat([tn_x, fc_x], 1) # (n, 128)
return self.final(z)
class cnn_RN_FC(nn.Module):
def __init__(self, args):
super(cnn_RN_FC, self).__init__()
self.batch_size = args[0]
self.cuda = args[1]
b = self.batch_size
cuda = self.cuda
self.cnn = cnn()
self.rn = RN(b, 24, 8, 8, 64, cuda=cuda, method=0)
self.fc = FC(24, 8, 8, 64, cuda)
self.final = nn.Sequential(
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.ReLU(),
nn.Linear(32, 2)
)
def forward(self, img):
x = self.cnn(img)
rn_x = self.rn(x)
fc_x = self.fc(x)
z = torch.cat([rn_x, fc_x], 1) # (n, 128)
return self.final(z)
class cnn_TN_RN(nn.Module):
def __init__(self, args):
super(cnn_TN_RN, self).__init__()
self.batch_size = args[0]
self.cuda = args[1]
b = self.batch_size
cuda = self.cuda
self.cnn = cnn()
self.tn = TN(b, 24, 8, 8, 64, cuda=cuda, method=1)
self.rn = RN(b, 24, 8, 8, 64, cuda=cuda, method=0)
self.final = nn.Sequential(
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.ReLU(),
nn.Linear(32, 2)
)
def forward(self, img):
x = self.cnn(img)
tn_x = self.tn(x)
rn_x = self.rn(x)
z = torch.cat([tn_x, rn_x], 1) # (n, 128)
return self.final(z)
class cnn_TN_SN(nn.Module):
def __init__(self, args):
super(cnn_TN_SN, self).__init__()
self.batch_size = args[0]
self.cuda = args[1]
b = self.batch_size
cuda = self.cuda
self.cnn = cnn()
self.tn = TN(b, 24, 8, 8, 64, cuda=cuda, method=1)
self.sn = SN(b, 24, 8, 8, 64, cuda=cuda, method=1)
self.final = nn.Sequential(
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.ReLU(),
nn.Linear(32, 2)
)
def forward(self, img):
x = self.cnn(img)
tn_x = self.tn(x)
sn_x = self.sn(x)
z = torch.cat([tn_x, sn_x], 1) # (n, 128)
return self.final(z)
# Understanding the dots and the relation between the dots
class cnn_RN_SN(nn.Module):
def __init__(self, args):
super(cnn_RN_SN, self).__init__()
self.batch_size = args[0]
self.cuda = args[1]
b = self.batch_size
cuda = self.cuda
self.cnn = cnn()
self.rn = RN(b, 24, 8, 8, 64, cuda=cuda, method=0)
self.sn = SN(b, 24, 8, 8, 64, cuda=cuda, method=1)
self.final = nn.Sequential(
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.ReLU(),
nn.Linear(32, 2)
)
def forward(self, img):
x = self.cnn(img)
rn_x = self.rn(x)
sn_x = self.sn(x)
z = torch.cat([rn_x, sn_x], 1) # (n, 128)
return self.final(z)
# Understanding the dots and total view and the relation between them
class cnn_TSF(nn.Module):
def __init__(self, args):
super(cnn_TSF, self).__init__()
self.cnn = cnn()
self.tsf = TSF(args, (24, 8, 8), 2)
def forward(self, images):
x = self.cnn(images)
result = self.tsf(x)
return result
class cnn_TRF(nn.Module):
def __init__(self, args):
super(cnn_TRF, self).__init__()
self.cnn = cnn()
self.trf = TRF(args, (24, 8, 8), 2)
def forward(self, images):
x = self.cnn(images)
result = self.trf(x)
return result
class cnn_TRSF(nn.Module):
def __init__(self, args):
super(cnn_TRSF, self).__init__()
self.cnn = cnn()
self.trsf = TRSF(args, (24, 8, 8), 2)
def forward(self, images):
x = self.cnn(images)
result = self.trsf(x)
return result
class cnn_TRSF_TRN(nn.Module):
def __init__(self, args):
super(cnn_TRSF_TRN, self).__init__()
self.cnn = cnn()
self.trsf_trn = TRSF_TRN(args, (24, 8, 8), 2)
def forward(self, images):
x = self.cnn(images)
result = self.trsf_trn(x)
return result
| 26.153846
| 70
| 0.464861
| 884
| 6,460
| 3.222851
| 0.079186
| 0.03861
| 0.022464
| 0.025272
| 0.879958
| 0.866269
| 0.825904
| 0.807652
| 0.78589
| 0.655318
| 0
| 0.057692
| 0.404334
| 6,460
| 247
| 71
| 26.153846
| 0.682692
| 0.039164
| 0
| 0.736264
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.10989
| false
| 0
| 0.043956
| 0
| 0.263736
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
013c3f466fbc61149ceec83fa1108f9bc5bfccc1
| 126,421
|
py
|
Python
|
extensions/gnosis/graphql_schema.py
|
efrontier-io/gnosis-extension
|
7212e92cc0902ace0f2800762e1d8c5784dddea8
|
[
"MIT"
] | null | null | null |
extensions/gnosis/graphql_schema.py
|
efrontier-io/gnosis-extension
|
7212e92cc0902ace0f2800762e1d8c5784dddea8
|
[
"MIT"
] | null | null | null |
extensions/gnosis/graphql_schema.py
|
efrontier-io/gnosis-extension
|
7212e92cc0902ace0f2800762e1d8c5784dddea8
|
[
"MIT"
] | null | null | null |
import sgqlc.types
graphql_schema = sgqlc.types.Schema()
########################################################################
# Scalars and Enumerations
########################################################################
class Batch_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'startEpoch', 'endEpoch', 'solution', 'solutions', 'firstSolutionEpoch', 'lastRevertEpoch', 'txHash')
class BigDecimal(sgqlc.types.Scalar):
__schema__ = graphql_schema
class BigInt(sgqlc.types.Scalar):
__schema__ = graphql_schema
Boolean = sgqlc.types.Boolean
class Bytes(sgqlc.types.Scalar):
__schema__ = graphql_schema
class Deposit_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'user', 'tokenAddress', 'amount', 'batchId', 'createEpoch', 'txHash')
ID = sgqlc.types.ID
Int = sgqlc.types.Int
class OrderDirection(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('asc', 'desc')
class Order_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'owner', 'orderId', 'fromBatchId', 'fromEpoch', 'untilBatchId', 'untilEpoch', 'buyToken', 'sellToken', 'priceNumerator', 'priceDenominator', 'maxSellAmount', 'minReceiveAmount', 'soldVolume', 'boughtVolume', 'trades', 'createEpoch', 'cancelEpoch', 'deleteEpoch', 'txHash', 'txLogIndex')
class Price_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'token', 'batchId', 'priceInOwlNumerator', 'priceInOwlDenominator', 'volume', 'createEpoch', 'txHash')
class Solution_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'batch', 'solver', 'feeReward', 'objectiveValue', 'trades', 'createEpoch', 'revertEpoch', 'txHash', 'txLogIndex')
String = sgqlc.types.String
class Token_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'address', 'fromBatchId', 'symbol', 'decimals', 'name', 'createEpoch', 'txHash')
class Trade_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'order', 'owner', 'sellVolume', 'buyVolume', 'tradeBatchId', 'tradeEpoch', 'buyToken', 'sellToken', 'createEpoch', 'revertEpoch', 'txHash', 'txLogIndex')
class User_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'fromBatchId', 'orders', 'deposits', 'withdrawRequests', 'withdrawals', 'createEpoch', 'txHash')
class WithdrawRequest_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'user', 'tokenAddress', 'amount', 'withdrawableFromBatchId', 'createEpoch', 'createBatchId', 'txHash')
class Withdraw_orderBy(sgqlc.types.Enum):
__schema__ = graphql_schema
__choices__ = ('id', 'user', 'tokenAddress', 'amount', 'createEpoch', 'createBatchId', 'txHash')
########################################################################
# Input Objects
########################################################################
class Batch_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'start_epoch', 'start_epoch_not', 'start_epoch_gt', 'start_epoch_lt', 'start_epoch_gte', 'start_epoch_lte', 'start_epoch_in', 'start_epoch_not_in', 'end_epoch', 'end_epoch_not', 'end_epoch_gt', 'end_epoch_lt', 'end_epoch_gte', 'end_epoch_lte', 'end_epoch_in', 'end_epoch_not_in', 'solution', 'solution_not', 'solution_gt', 'solution_lt', 'solution_gte', 'solution_lte', 'solution_in', 'solution_not_in', 'solution_contains', 'solution_not_contains', 'solution_starts_with', 'solution_not_starts_with', 'solution_ends_with', 'solution_not_ends_with', 'first_solution_epoch', 'first_solution_epoch_not', 'first_solution_epoch_gt', 'first_solution_epoch_lt', 'first_solution_epoch_gte', 'first_solution_epoch_lte', 'first_solution_epoch_in', 'first_solution_epoch_not_in', 'last_revert_epoch', 'last_revert_epoch_not', 'last_revert_epoch_gt', 'last_revert_epoch_lt', 'last_revert_epoch_gte', 'last_revert_epoch_lte', 'last_revert_epoch_in', 'last_revert_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
start_epoch = sgqlc.types.Field(BigInt, graphql_name='startEpoch')
start_epoch_not = sgqlc.types.Field(BigInt, graphql_name='startEpoch_not')
start_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='startEpoch_gt')
start_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='startEpoch_lt')
start_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='startEpoch_gte')
start_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='startEpoch_lte')
start_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='startEpoch_in')
start_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='startEpoch_not_in')
end_epoch = sgqlc.types.Field(BigInt, graphql_name='endEpoch')
end_epoch_not = sgqlc.types.Field(BigInt, graphql_name='endEpoch_not')
end_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='endEpoch_gt')
end_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='endEpoch_lt')
end_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='endEpoch_gte')
end_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='endEpoch_lte')
end_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='endEpoch_in')
end_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='endEpoch_not_in')
solution = sgqlc.types.Field(String, graphql_name='solution')
solution_not = sgqlc.types.Field(String, graphql_name='solution_not')
solution_gt = sgqlc.types.Field(String, graphql_name='solution_gt')
solution_lt = sgqlc.types.Field(String, graphql_name='solution_lt')
solution_gte = sgqlc.types.Field(String, graphql_name='solution_gte')
solution_lte = sgqlc.types.Field(String, graphql_name='solution_lte')
solution_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='solution_in')
solution_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='solution_not_in')
solution_contains = sgqlc.types.Field(String, graphql_name='solution_contains')
solution_not_contains = sgqlc.types.Field(String, graphql_name='solution_not_contains')
solution_starts_with = sgqlc.types.Field(String, graphql_name='solution_starts_with')
solution_not_starts_with = sgqlc.types.Field(String, graphql_name='solution_not_starts_with')
solution_ends_with = sgqlc.types.Field(String, graphql_name='solution_ends_with')
solution_not_ends_with = sgqlc.types.Field(String, graphql_name='solution_not_ends_with')
first_solution_epoch = sgqlc.types.Field(BigInt, graphql_name='firstSolutionEpoch')
first_solution_epoch_not = sgqlc.types.Field(BigInt, graphql_name='firstSolutionEpoch_not')
first_solution_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='firstSolutionEpoch_gt')
first_solution_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='firstSolutionEpoch_lt')
first_solution_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='firstSolutionEpoch_gte')
first_solution_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='firstSolutionEpoch_lte')
first_solution_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='firstSolutionEpoch_in')
first_solution_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='firstSolutionEpoch_not_in')
last_revert_epoch = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch')
last_revert_epoch_not = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch_not')
last_revert_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch_gt')
last_revert_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch_lt')
last_revert_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch_gte')
last_revert_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch_lte')
last_revert_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='lastRevertEpoch_in')
last_revert_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='lastRevertEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
class Block_height(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('hash', 'number')
hash = sgqlc.types.Field(Bytes, graphql_name='hash')
number = sgqlc.types.Field(Int, graphql_name='number')
class Deposit_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'user', 'user_not', 'user_gt', 'user_lt', 'user_gte', 'user_lte', 'user_in', 'user_not_in', 'user_contains', 'user_not_contains', 'user_starts_with', 'user_not_starts_with', 'user_ends_with', 'user_not_ends_with', 'token_address', 'token_address_not', 'token_address_in', 'token_address_not_in', 'token_address_contains', 'token_address_not_contains', 'amount', 'amount_not', 'amount_gt', 'amount_lt', 'amount_gte', 'amount_lte', 'amount_in', 'amount_not_in', 'batch_id', 'batch_id_not', 'batch_id_gt', 'batch_id_lt', 'batch_id_gte', 'batch_id_lte', 'batch_id_in', 'batch_id_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
user = sgqlc.types.Field(String, graphql_name='user')
user_not = sgqlc.types.Field(String, graphql_name='user_not')
user_gt = sgqlc.types.Field(String, graphql_name='user_gt')
user_lt = sgqlc.types.Field(String, graphql_name='user_lt')
user_gte = sgqlc.types.Field(String, graphql_name='user_gte')
user_lte = sgqlc.types.Field(String, graphql_name='user_lte')
user_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='user_in')
user_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='user_not_in')
user_contains = sgqlc.types.Field(String, graphql_name='user_contains')
user_not_contains = sgqlc.types.Field(String, graphql_name='user_not_contains')
user_starts_with = sgqlc.types.Field(String, graphql_name='user_starts_with')
user_not_starts_with = sgqlc.types.Field(String, graphql_name='user_not_starts_with')
user_ends_with = sgqlc.types.Field(String, graphql_name='user_ends_with')
user_not_ends_with = sgqlc.types.Field(String, graphql_name='user_not_ends_with')
token_address = sgqlc.types.Field(Bytes, graphql_name='tokenAddress')
token_address_not = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_not')
token_address_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='tokenAddress_in')
token_address_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='tokenAddress_not_in')
token_address_contains = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_contains')
token_address_not_contains = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_not_contains')
amount = sgqlc.types.Field(BigInt, graphql_name='amount')
amount_not = sgqlc.types.Field(BigInt, graphql_name='amount_not')
amount_gt = sgqlc.types.Field(BigInt, graphql_name='amount_gt')
amount_lt = sgqlc.types.Field(BigInt, graphql_name='amount_lt')
amount_gte = sgqlc.types.Field(BigInt, graphql_name='amount_gte')
amount_lte = sgqlc.types.Field(BigInt, graphql_name='amount_lte')
amount_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='amount_in')
amount_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='amount_not_in')
batch_id = sgqlc.types.Field(BigInt, graphql_name='batchId')
batch_id_not = sgqlc.types.Field(BigInt, graphql_name='batchId_not')
batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='batchId_gt')
batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='batchId_lt')
batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='batchId_gte')
batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='batchId_lte')
batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='batchId_in')
batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='batchId_not_in')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
class Order_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'owner', 'owner_not', 'owner_gt', 'owner_lt', 'owner_gte', 'owner_lte', 'owner_in', 'owner_not_in', 'owner_contains', 'owner_not_contains', 'owner_starts_with', 'owner_not_starts_with', 'owner_ends_with', 'owner_not_ends_with', 'order_id', 'order_id_not', 'order_id_gt', 'order_id_lt', 'order_id_gte', 'order_id_lte', 'order_id_in', 'order_id_not_in', 'from_batch_id', 'from_batch_id_not', 'from_batch_id_gt', 'from_batch_id_lt', 'from_batch_id_gte', 'from_batch_id_lte', 'from_batch_id_in', 'from_batch_id_not_in', 'from_epoch', 'from_epoch_not', 'from_epoch_gt', 'from_epoch_lt', 'from_epoch_gte', 'from_epoch_lte', 'from_epoch_in', 'from_epoch_not_in', 'until_batch_id', 'until_batch_id_not', 'until_batch_id_gt', 'until_batch_id_lt', 'until_batch_id_gte', 'until_batch_id_lte', 'until_batch_id_in', 'until_batch_id_not_in', 'until_epoch', 'until_epoch_not', 'until_epoch_gt', 'until_epoch_lt', 'until_epoch_gte', 'until_epoch_lte', 'until_epoch_in', 'until_epoch_not_in', 'buy_token', 'buy_token_not', 'buy_token_gt', 'buy_token_lt', 'buy_token_gte', 'buy_token_lte', 'buy_token_in', 'buy_token_not_in', 'buy_token_contains', 'buy_token_not_contains', 'buy_token_starts_with', 'buy_token_not_starts_with', 'buy_token_ends_with', 'buy_token_not_ends_with', 'sell_token', 'sell_token_not', 'sell_token_gt', 'sell_token_lt', 'sell_token_gte', 'sell_token_lte', 'sell_token_in', 'sell_token_not_in', 'sell_token_contains', 'sell_token_not_contains', 'sell_token_starts_with', 'sell_token_not_starts_with', 'sell_token_ends_with', 'sell_token_not_ends_with', 'price_numerator', 'price_numerator_not', 'price_numerator_gt', 'price_numerator_lt', 'price_numerator_gte', 'price_numerator_lte', 'price_numerator_in', 'price_numerator_not_in', 'price_denominator', 'price_denominator_not', 'price_denominator_gt', 'price_denominator_lt', 'price_denominator_gte', 'price_denominator_lte', 'price_denominator_in', 'price_denominator_not_in', 'max_sell_amount', 'max_sell_amount_not', 'max_sell_amount_gt', 'max_sell_amount_lt', 'max_sell_amount_gte', 'max_sell_amount_lte', 'max_sell_amount_in', 'max_sell_amount_not_in', 'min_receive_amount', 'min_receive_amount_not', 'min_receive_amount_gt', 'min_receive_amount_lt', 'min_receive_amount_gte', 'min_receive_amount_lte', 'min_receive_amount_in', 'min_receive_amount_not_in', 'sold_volume', 'sold_volume_not', 'sold_volume_gt', 'sold_volume_lt', 'sold_volume_gte', 'sold_volume_lte', 'sold_volume_in', 'sold_volume_not_in', 'bought_volume', 'bought_volume_not', 'bought_volume_gt', 'bought_volume_lt', 'bought_volume_gte', 'bought_volume_lte', 'bought_volume_in', 'bought_volume_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'cancel_epoch', 'cancel_epoch_not', 'cancel_epoch_gt', 'cancel_epoch_lt', 'cancel_epoch_gte', 'cancel_epoch_lte', 'cancel_epoch_in', 'cancel_epoch_not_in', 'delete_epoch', 'delete_epoch_not', 'delete_epoch_gt', 'delete_epoch_lt', 'delete_epoch_gte', 'delete_epoch_lte', 'delete_epoch_in', 'delete_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains', 'tx_log_index', 'tx_log_index_not', 'tx_log_index_gt', 'tx_log_index_lt', 'tx_log_index_gte', 'tx_log_index_lte', 'tx_log_index_in', 'tx_log_index_not_in')
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'owner', 'owner_not', 'owner_gt', 'owner_lt', 'owner_gte', 'owner_lte', 'owner_in', 'owner_not_in', 'owner_contains', 'owner_not_contains', 'owner_starts_with', 'owner_not_starts_with', 'owner_ends_with', 'owner_not_ends_with', 'order_id', 'order_id_not', 'order_id_gt', 'order_id_lt', 'order_id_gte', 'order_id_lte', 'order_id_in', 'order_id_not_in', 'from_batch_id', 'from_batch_id_not', 'from_batch_id_gt', 'from_batch_id_lt', 'from_batch_id_gte', 'from_batch_id_lte', 'from_batch_id_in', 'from_batch_id_not_in', 'from_epoch', 'from_epoch_not', 'from_epoch_gt', 'from_epoch_lt', 'from_epoch_gte', 'from_epoch_lte', 'from_epoch_in', 'from_epoch_not_in', 'until_batch_id', 'until_batch_id_not', 'until_batch_id_gt', 'until_batch_id_lt', 'until_batch_id_gte', 'until_batch_id_lte', 'until_batch_id_in', 'until_batch_id_not_in', 'until_epoch', 'until_epoch_not', 'until_epoch_gt', 'until_epoch_lt', 'until_epoch_gte', 'until_epoch_lte', 'until_epoch_in', 'until_epoch_not_in', 'buy_token', 'buy_token_not', 'buy_token_gt', 'buy_token_lt', 'buy_token_gte', 'buy_token_lte', 'buy_token_in', 'buy_token_not_in', 'buy_token_contains', 'buy_token_not_contains', 'buy_token_starts_with', 'buy_token_not_starts_with', 'buy_token_ends_with', 'buy_token_not_ends_with', 'sell_token', 'sell_token_not', 'sell_token_gt', 'sell_token_lt', 'sell_token_gte', 'sell_token_lte', 'sell_token_in', 'sell_token_not_in', 'sell_token_contains', 'sell_token_not_contains', 'sell_token_starts_with', 'sell_token_not_starts_with', 'sell_token_ends_with', 'sell_token_not_ends_with', 'price_numerator', 'price_numerator_not', 'price_numerator_gt', 'price_numerator_lt', 'price_numerator_gte', 'price_numerator_lte', 'price_numerator_in', 'price_numerator_not_in', 'price_denominator', 'price_denominator_not', 'price_denominator_gt', 'price_denominator_lt', 'price_denominator_gte', 'price_denominator_lte', 'price_denominator_in', 'price_denominator_not_in', 'max_sell_amount', 'max_sell_amount_not', 'max_sell_amount_gt', 'max_sell_amount_lt', 'max_sell_amount_gte', 'max_sell_amount_lte', 'max_sell_amount_in', 'max_sell_amount_not_in', 'sold_volume', 'sold_volume_not', 'sold_volume_gt', 'sold_volume_lt', 'sold_volume_gte', 'sold_volume_lte', 'sold_volume_in', 'sold_volume_not_in', 'bought_volume', 'bought_volume_not', 'bought_volume_gt', 'bought_volume_lt', 'bought_volume_gte', 'bought_volume_lte', 'bought_volume_in', 'bought_volume_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'cancel_epoch', 'cancel_epoch_not', 'cancel_epoch_gt', 'cancel_epoch_lt', 'cancel_epoch_gte', 'cancel_epoch_lte', 'cancel_epoch_in', 'cancel_epoch_not_in', 'delete_epoch', 'delete_epoch_not', 'delete_epoch_gt', 'delete_epoch_lt', 'delete_epoch_gte', 'delete_epoch_lte', 'delete_epoch_in', 'delete_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains', 'tx_log_index', 'tx_log_index_not', 'tx_log_index_gt', 'tx_log_index_lt', 'tx_log_index_gte', 'tx_log_index_lte', 'tx_log_index_in', 'tx_log_index_not_in')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
owner = sgqlc.types.Field(String, graphql_name='owner')
owner_not = sgqlc.types.Field(String, graphql_name='owner_not')
owner_gt = sgqlc.types.Field(String, graphql_name='owner_gt')
owner_lt = sgqlc.types.Field(String, graphql_name='owner_lt')
owner_gte = sgqlc.types.Field(String, graphql_name='owner_gte')
owner_lte = sgqlc.types.Field(String, graphql_name='owner_lte')
owner_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='owner_in')
owner_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='owner_not_in')
owner_contains = sgqlc.types.Field(String, graphql_name='owner_contains')
owner_not_contains = sgqlc.types.Field(String, graphql_name='owner_not_contains')
owner_starts_with = sgqlc.types.Field(String, graphql_name='owner_starts_with')
owner_not_starts_with = sgqlc.types.Field(String, graphql_name='owner_not_starts_with')
owner_ends_with = sgqlc.types.Field(String, graphql_name='owner_ends_with')
owner_not_ends_with = sgqlc.types.Field(String, graphql_name='owner_not_ends_with')
order_id = sgqlc.types.Field(Int, graphql_name='orderId')
order_id_not = sgqlc.types.Field(Int, graphql_name='orderId_not')
order_id_gt = sgqlc.types.Field(Int, graphql_name='orderId_gt')
order_id_lt = sgqlc.types.Field(Int, graphql_name='orderId_lt')
order_id_gte = sgqlc.types.Field(Int, graphql_name='orderId_gte')
order_id_lte = sgqlc.types.Field(Int, graphql_name='orderId_lte')
order_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Int)), graphql_name='orderId_in')
order_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Int)), graphql_name='orderId_not_in')
from_batch_id = sgqlc.types.Field(BigInt, graphql_name='fromBatchId')
from_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_not')
from_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_gt')
from_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_lt')
from_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_gte')
from_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_lte')
from_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromBatchId_in')
from_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromBatchId_not_in')
from_epoch = sgqlc.types.Field(BigInt, graphql_name='fromEpoch')
from_epoch_not = sgqlc.types.Field(BigInt, graphql_name='fromEpoch_not')
from_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='fromEpoch_gt')
from_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='fromEpoch_lt')
from_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='fromEpoch_gte')
from_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='fromEpoch_lte')
from_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromEpoch_in')
from_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromEpoch_not_in')
until_batch_id = sgqlc.types.Field(BigInt, graphql_name='untilBatchId')
until_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='untilBatchId_not')
until_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='untilBatchId_gt')
until_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='untilBatchId_lt')
until_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='untilBatchId_gte')
until_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='untilBatchId_lte')
until_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='untilBatchId_in')
until_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='untilBatchId_not_in')
until_epoch = sgqlc.types.Field(BigInt, graphql_name='untilEpoch')
until_epoch_not = sgqlc.types.Field(BigInt, graphql_name='untilEpoch_not')
until_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='untilEpoch_gt')
until_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='untilEpoch_lt')
until_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='untilEpoch_gte')
until_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='untilEpoch_lte')
until_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='untilEpoch_in')
until_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='untilEpoch_not_in')
buy_token = sgqlc.types.Field(String, graphql_name='buyToken')
buy_token_not = sgqlc.types.Field(String, graphql_name='buyToken_not')
buy_token_gt = sgqlc.types.Field(String, graphql_name='buyToken_gt')
buy_token_lt = sgqlc.types.Field(String, graphql_name='buyToken_lt')
buy_token_gte = sgqlc.types.Field(String, graphql_name='buyToken_gte')
buy_token_lte = sgqlc.types.Field(String, graphql_name='buyToken_lte')
buy_token_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='buyToken_in')
buy_token_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='buyToken_not_in')
buy_token_contains = sgqlc.types.Field(String, graphql_name='buyToken_contains')
buy_token_not_contains = sgqlc.types.Field(String, graphql_name='buyToken_not_contains')
buy_token_starts_with = sgqlc.types.Field(String, graphql_name='buyToken_starts_with')
buy_token_not_starts_with = sgqlc.types.Field(String, graphql_name='buyToken_not_starts_with')
buy_token_ends_with = sgqlc.types.Field(String, graphql_name='buyToken_ends_with')
buy_token_not_ends_with = sgqlc.types.Field(String, graphql_name='buyToken_not_ends_with')
sell_token = sgqlc.types.Field(String, graphql_name='sellToken')
sell_token_not = sgqlc.types.Field(String, graphql_name='sellToken_not')
sell_token_gt = sgqlc.types.Field(String, graphql_name='sellToken_gt')
sell_token_lt = sgqlc.types.Field(String, graphql_name='sellToken_lt')
sell_token_gte = sgqlc.types.Field(String, graphql_name='sellToken_gte')
sell_token_lte = sgqlc.types.Field(String, graphql_name='sellToken_lte')
sell_token_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='sellToken_in')
sell_token_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='sellToken_not_in')
sell_token_contains = sgqlc.types.Field(String, graphql_name='sellToken_contains')
sell_token_not_contains = sgqlc.types.Field(String, graphql_name='sellToken_not_contains')
sell_token_starts_with = sgqlc.types.Field(String, graphql_name='sellToken_starts_with')
sell_token_not_starts_with = sgqlc.types.Field(String, graphql_name='sellToken_not_starts_with')
sell_token_ends_with = sgqlc.types.Field(String, graphql_name='sellToken_ends_with')
sell_token_not_ends_with = sgqlc.types.Field(String, graphql_name='sellToken_not_ends_with')
price_numerator = sgqlc.types.Field(BigInt, graphql_name='priceNumerator')
price_numerator_not = sgqlc.types.Field(BigInt, graphql_name='priceNumerator_not')
price_numerator_gt = sgqlc.types.Field(BigInt, graphql_name='priceNumerator_gt')
price_numerator_lt = sgqlc.types.Field(BigInt, graphql_name='priceNumerator_lt')
price_numerator_gte = sgqlc.types.Field(BigInt, graphql_name='priceNumerator_gte')
price_numerator_lte = sgqlc.types.Field(BigInt, graphql_name='priceNumerator_lte')
price_numerator_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceNumerator_in')
price_numerator_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceNumerator_not_in')
price_denominator = sgqlc.types.Field(BigInt, graphql_name='priceDenominator')
price_denominator_not = sgqlc.types.Field(BigInt, graphql_name='priceDenominator_not')
price_denominator_gt = sgqlc.types.Field(BigInt, graphql_name='priceDenominator_gt')
price_denominator_lt = sgqlc.types.Field(BigInt, graphql_name='priceDenominator_lt')
price_denominator_gte = sgqlc.types.Field(BigInt, graphql_name='priceDenominator_gte')
price_denominator_lte = sgqlc.types.Field(BigInt, graphql_name='priceDenominator_lte')
price_denominator_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceDenominator_in')
price_denominator_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceDenominator_not_in')
max_sell_amount = sgqlc.types.Field(BigInt, graphql_name='maxSellAmount')
max_sell_amount_not = sgqlc.types.Field(BigInt, graphql_name='maxSellAmount_not')
max_sell_amount_gt = sgqlc.types.Field(BigInt, graphql_name='maxSellAmount_gt')
max_sell_amount_lt = sgqlc.types.Field(BigInt, graphql_name='maxSellAmount_lt')
max_sell_amount_gte = sgqlc.types.Field(BigInt, graphql_name='maxSellAmount_gte')
max_sell_amount_lte = sgqlc.types.Field(BigInt, graphql_name='maxSellAmount_lte')
max_sell_amount_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='maxSellAmount_in')
max_sell_amount_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='maxSellAmount_not_in')
min_receive_amount = sgqlc.types.Field(BigInt, graphql_name='minReceiveAmount')
min_receive_amount_not = sgqlc.types.Field(BigInt, graphql_name='minReceiveAmount_not')
min_receive_amount_gt = sgqlc.types.Field(BigInt, graphql_name='minReceiveAmount_gt')
min_receive_amount_lt = sgqlc.types.Field(BigInt, graphql_name='minReceiveAmount_lt')
min_receive_amount_gte = sgqlc.types.Field(BigInt, graphql_name='minReceiveAmount_gte')
min_receive_amount_lte = sgqlc.types.Field(BigInt, graphql_name='minReceiveAmount_lte')
min_receive_amount_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='minReceiveAmount_in')
min_receive_amount_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='minReceiveAmount_not_in')
sold_volume = sgqlc.types.Field(BigInt, graphql_name='soldVolume')
sold_volume_not = sgqlc.types.Field(BigInt, graphql_name='soldVolume_not')
sold_volume_gt = sgqlc.types.Field(BigInt, graphql_name='soldVolume_gt')
sold_volume_lt = sgqlc.types.Field(BigInt, graphql_name='soldVolume_lt')
sold_volume_gte = sgqlc.types.Field(BigInt, graphql_name='soldVolume_gte')
sold_volume_lte = sgqlc.types.Field(BigInt, graphql_name='soldVolume_lte')
sold_volume_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='soldVolume_in')
sold_volume_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='soldVolume_not_in')
bought_volume = sgqlc.types.Field(BigInt, graphql_name='boughtVolume')
bought_volume_not = sgqlc.types.Field(BigInt, graphql_name='boughtVolume_not')
bought_volume_gt = sgqlc.types.Field(BigInt, graphql_name='boughtVolume_gt')
bought_volume_lt = sgqlc.types.Field(BigInt, graphql_name='boughtVolume_lt')
bought_volume_gte = sgqlc.types.Field(BigInt, graphql_name='boughtVolume_gte')
bought_volume_lte = sgqlc.types.Field(BigInt, graphql_name='boughtVolume_lte')
bought_volume_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='boughtVolume_in')
bought_volume_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='boughtVolume_not_in')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
cancel_epoch = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch')
cancel_epoch_not = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch_not')
cancel_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch_gt')
cancel_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch_lt')
cancel_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch_gte')
cancel_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch_lte')
cancel_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='cancelEpoch_in')
cancel_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='cancelEpoch_not_in')
delete_epoch = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch')
delete_epoch_not = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch_not')
delete_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch_gt')
delete_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch_lt')
delete_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch_gte')
delete_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch_lte')
delete_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='deleteEpoch_in')
delete_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='deleteEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
tx_log_index = sgqlc.types.Field(BigInt, graphql_name='txLogIndex')
tx_log_index_not = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_not')
tx_log_index_gt = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_gt')
tx_log_index_lt = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_lt')
tx_log_index_gte = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_gte')
tx_log_index_lte = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_lte')
tx_log_index_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='txLogIndex_in')
tx_log_index_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='txLogIndex_not_in')
class Price_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'token', 'token_not', 'token_gt', 'token_lt', 'token_gte', 'token_lte', 'token_in', 'token_not_in', 'token_contains', 'token_not_contains', 'token_starts_with', 'token_not_starts_with', 'token_ends_with', 'token_not_ends_with', 'batch_id', 'batch_id_not', 'batch_id_gt', 'batch_id_lt', 'batch_id_gte', 'batch_id_lte', 'batch_id_in', 'batch_id_not_in', 'price_in_owl_numerator', 'price_in_owl_numerator_not', 'price_in_owl_numerator_gt', 'price_in_owl_numerator_lt', 'price_in_owl_numerator_gte', 'price_in_owl_numerator_lte', 'price_in_owl_numerator_in', 'price_in_owl_numerator_not_in', 'price_in_owl_denominator', 'price_in_owl_denominator_not', 'price_in_owl_denominator_gt', 'price_in_owl_denominator_lt', 'price_in_owl_denominator_gte', 'price_in_owl_denominator_lte', 'price_in_owl_denominator_in', 'price_in_owl_denominator_not_in', 'volume', 'volume_not', 'volume_gt', 'volume_lt', 'volume_gte', 'volume_lte', 'volume_in', 'volume_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
token = sgqlc.types.Field(String, graphql_name='token')
token_not = sgqlc.types.Field(String, graphql_name='token_not')
token_gt = sgqlc.types.Field(String, graphql_name='token_gt')
token_lt = sgqlc.types.Field(String, graphql_name='token_lt')
token_gte = sgqlc.types.Field(String, graphql_name='token_gte')
token_lte = sgqlc.types.Field(String, graphql_name='token_lte')
token_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='token_in')
token_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='token_not_in')
token_contains = sgqlc.types.Field(String, graphql_name='token_contains')
token_not_contains = sgqlc.types.Field(String, graphql_name='token_not_contains')
token_starts_with = sgqlc.types.Field(String, graphql_name='token_starts_with')
token_not_starts_with = sgqlc.types.Field(String, graphql_name='token_not_starts_with')
token_ends_with = sgqlc.types.Field(String, graphql_name='token_ends_with')
token_not_ends_with = sgqlc.types.Field(String, graphql_name='token_not_ends_with')
batch_id = sgqlc.types.Field(BigInt, graphql_name='batchId')
batch_id_not = sgqlc.types.Field(BigInt, graphql_name='batchId_not')
batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='batchId_gt')
batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='batchId_lt')
batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='batchId_gte')
batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='batchId_lte')
batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='batchId_in')
batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='batchId_not_in')
price_in_owl_numerator = sgqlc.types.Field(BigInt, graphql_name='priceInOwlNumerator')
price_in_owl_numerator_not = sgqlc.types.Field(BigInt, graphql_name='priceInOwlNumerator_not')
price_in_owl_numerator_gt = sgqlc.types.Field(BigInt, graphql_name='priceInOwlNumerator_gt')
price_in_owl_numerator_lt = sgqlc.types.Field(BigInt, graphql_name='priceInOwlNumerator_lt')
price_in_owl_numerator_gte = sgqlc.types.Field(BigInt, graphql_name='priceInOwlNumerator_gte')
price_in_owl_numerator_lte = sgqlc.types.Field(BigInt, graphql_name='priceInOwlNumerator_lte')
price_in_owl_numerator_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceInOwlNumerator_in')
price_in_owl_numerator_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceInOwlNumerator_not_in')
price_in_owl_denominator = sgqlc.types.Field(BigInt, graphql_name='priceInOwlDenominator')
price_in_owl_denominator_not = sgqlc.types.Field(BigInt, graphql_name='priceInOwlDenominator_not')
price_in_owl_denominator_gt = sgqlc.types.Field(BigInt, graphql_name='priceInOwlDenominator_gt')
price_in_owl_denominator_lt = sgqlc.types.Field(BigInt, graphql_name='priceInOwlDenominator_lt')
price_in_owl_denominator_gte = sgqlc.types.Field(BigInt, graphql_name='priceInOwlDenominator_gte')
price_in_owl_denominator_lte = sgqlc.types.Field(BigInt, graphql_name='priceInOwlDenominator_lte')
price_in_owl_denominator_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceInOwlDenominator_in')
price_in_owl_denominator_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='priceInOwlDenominator_not_in')
volume = sgqlc.types.Field(BigInt, graphql_name='volume')
volume_not = sgqlc.types.Field(BigInt, graphql_name='volume_not')
volume_gt = sgqlc.types.Field(BigInt, graphql_name='volume_gt')
volume_lt = sgqlc.types.Field(BigInt, graphql_name='volume_lt')
volume_gte = sgqlc.types.Field(BigInt, graphql_name='volume_gte')
volume_lte = sgqlc.types.Field(BigInt, graphql_name='volume_lte')
volume_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='volume_in')
volume_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='volume_not_in')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
class Solution_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'batch', 'batch_not', 'batch_gt', 'batch_lt', 'batch_gte', 'batch_lte', 'batch_in', 'batch_not_in', 'batch_contains', 'batch_not_contains', 'batch_starts_with', 'batch_not_starts_with', 'batch_ends_with', 'batch_not_ends_with', 'solver', 'solver_not', 'solver_gt', 'solver_lt', 'solver_gte', 'solver_lte', 'solver_in', 'solver_not_in', 'solver_contains', 'solver_not_contains', 'solver_starts_with', 'solver_not_starts_with', 'solver_ends_with', 'solver_not_ends_with', 'fee_reward', 'fee_reward_not', 'fee_reward_gt', 'fee_reward_lt', 'fee_reward_gte', 'fee_reward_lte', 'fee_reward_in', 'fee_reward_not_in', 'objective_value', 'objective_value_not', 'objective_value_gt', 'objective_value_lt', 'objective_value_gte', 'objective_value_lte', 'objective_value_in', 'objective_value_not_in', 'trades', 'trades_not', 'trades_contains', 'trades_not_contains', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'revert_epoch', 'revert_epoch_not', 'revert_epoch_gt', 'revert_epoch_lt', 'revert_epoch_gte', 'revert_epoch_lte', 'revert_epoch_in', 'revert_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains', 'tx_log_index', 'tx_log_index_not', 'tx_log_index_gt', 'tx_log_index_lt', 'tx_log_index_gte', 'tx_log_index_lte', 'tx_log_index_in', 'tx_log_index_not_in')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
batch = sgqlc.types.Field(String, graphql_name='batch')
batch_not = sgqlc.types.Field(String, graphql_name='batch_not')
batch_gt = sgqlc.types.Field(String, graphql_name='batch_gt')
batch_lt = sgqlc.types.Field(String, graphql_name='batch_lt')
batch_gte = sgqlc.types.Field(String, graphql_name='batch_gte')
batch_lte = sgqlc.types.Field(String, graphql_name='batch_lte')
batch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='batch_in')
batch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='batch_not_in')
batch_contains = sgqlc.types.Field(String, graphql_name='batch_contains')
batch_not_contains = sgqlc.types.Field(String, graphql_name='batch_not_contains')
batch_starts_with = sgqlc.types.Field(String, graphql_name='batch_starts_with')
batch_not_starts_with = sgqlc.types.Field(String, graphql_name='batch_not_starts_with')
batch_ends_with = sgqlc.types.Field(String, graphql_name='batch_ends_with')
batch_not_ends_with = sgqlc.types.Field(String, graphql_name='batch_not_ends_with')
solver = sgqlc.types.Field(String, graphql_name='solver')
solver_not = sgqlc.types.Field(String, graphql_name='solver_not')
solver_gt = sgqlc.types.Field(String, graphql_name='solver_gt')
solver_lt = sgqlc.types.Field(String, graphql_name='solver_lt')
solver_gte = sgqlc.types.Field(String, graphql_name='solver_gte')
solver_lte = sgqlc.types.Field(String, graphql_name='solver_lte')
solver_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='solver_in')
solver_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='solver_not_in')
solver_contains = sgqlc.types.Field(String, graphql_name='solver_contains')
solver_not_contains = sgqlc.types.Field(String, graphql_name='solver_not_contains')
solver_starts_with = sgqlc.types.Field(String, graphql_name='solver_starts_with')
solver_not_starts_with = sgqlc.types.Field(String, graphql_name='solver_not_starts_with')
solver_ends_with = sgqlc.types.Field(String, graphql_name='solver_ends_with')
solver_not_ends_with = sgqlc.types.Field(String, graphql_name='solver_not_ends_with')
fee_reward = sgqlc.types.Field(BigInt, graphql_name='feeReward')
fee_reward_not = sgqlc.types.Field(BigInt, graphql_name='feeReward_not')
fee_reward_gt = sgqlc.types.Field(BigInt, graphql_name='feeReward_gt')
fee_reward_lt = sgqlc.types.Field(BigInt, graphql_name='feeReward_lt')
fee_reward_gte = sgqlc.types.Field(BigInt, graphql_name='feeReward_gte')
fee_reward_lte = sgqlc.types.Field(BigInt, graphql_name='feeReward_lte')
fee_reward_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='feeReward_in')
fee_reward_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='feeReward_not_in')
objective_value = sgqlc.types.Field(BigInt, graphql_name='objectiveValue')
objective_value_not = sgqlc.types.Field(BigInt, graphql_name='objectiveValue_not')
objective_value_gt = sgqlc.types.Field(BigInt, graphql_name='objectiveValue_gt')
objective_value_lt = sgqlc.types.Field(BigInt, graphql_name='objectiveValue_lt')
objective_value_gte = sgqlc.types.Field(BigInt, graphql_name='objectiveValue_gte')
objective_value_lte = sgqlc.types.Field(BigInt, graphql_name='objectiveValue_lte')
objective_value_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='objectiveValue_in')
objective_value_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='objectiveValue_not_in')
trades = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='trades')
trades_not = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='trades_not')
trades_contains = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='trades_contains')
trades_not_contains = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='trades_not_contains')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
revert_epoch = sgqlc.types.Field(BigInt, graphql_name='revertEpoch')
revert_epoch_not = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_not')
revert_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_gt')
revert_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_lt')
revert_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_gte')
revert_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_lte')
revert_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='revertEpoch_in')
revert_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='revertEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
tx_log_index = sgqlc.types.Field(BigInt, graphql_name='txLogIndex')
tx_log_index_not = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_not')
tx_log_index_gt = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_gt')
tx_log_index_lt = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_lt')
tx_log_index_gte = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_gte')
tx_log_index_lte = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_lte')
tx_log_index_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='txLogIndex_in')
tx_log_index_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='txLogIndex_not_in')
class Token_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'address', 'address_not', 'address_in', 'address_not_in', 'address_contains', 'address_not_contains', 'from_batch_id', 'from_batch_id_not', 'from_batch_id_gt', 'from_batch_id_lt', 'from_batch_id_gte', 'from_batch_id_lte', 'from_batch_id_in', 'from_batch_id_not_in', 'symbol', 'symbol_not', 'symbol_gt', 'symbol_lt', 'symbol_gte', 'symbol_lte', 'symbol_in', 'symbol_not_in', 'symbol_contains', 'symbol_not_contains', 'symbol_starts_with', 'symbol_not_starts_with', 'symbol_ends_with', 'symbol_not_ends_with', 'decimals', 'decimals_not', 'decimals_gt', 'decimals_lt', 'decimals_gte', 'decimals_lte', 'decimals_in', 'decimals_not_in', 'name', 'name_not', 'name_gt', 'name_lt', 'name_gte', 'name_lte', 'name_in', 'name_not_in', 'name_contains', 'name_not_contains', 'name_starts_with', 'name_not_starts_with', 'name_ends_with', 'name_not_ends_with', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
address = sgqlc.types.Field(Bytes, graphql_name='address')
address_not = sgqlc.types.Field(Bytes, graphql_name='address_not')
address_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='address_in')
address_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='address_not_in')
address_contains = sgqlc.types.Field(Bytes, graphql_name='address_contains')
address_not_contains = sgqlc.types.Field(Bytes, graphql_name='address_not_contains')
from_batch_id = sgqlc.types.Field(BigInt, graphql_name='fromBatchId')
from_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_not')
from_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_gt')
from_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_lt')
from_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_gte')
from_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_lte')
from_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromBatchId_in')
from_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromBatchId_not_in')
symbol = sgqlc.types.Field(String, graphql_name='symbol')
symbol_not = sgqlc.types.Field(String, graphql_name='symbol_not')
symbol_gt = sgqlc.types.Field(String, graphql_name='symbol_gt')
symbol_lt = sgqlc.types.Field(String, graphql_name='symbol_lt')
symbol_gte = sgqlc.types.Field(String, graphql_name='symbol_gte')
symbol_lte = sgqlc.types.Field(String, graphql_name='symbol_lte')
symbol_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='symbol_in')
symbol_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='symbol_not_in')
symbol_contains = sgqlc.types.Field(String, graphql_name='symbol_contains')
symbol_not_contains = sgqlc.types.Field(String, graphql_name='symbol_not_contains')
symbol_starts_with = sgqlc.types.Field(String, graphql_name='symbol_starts_with')
symbol_not_starts_with = sgqlc.types.Field(String, graphql_name='symbol_not_starts_with')
symbol_ends_with = sgqlc.types.Field(String, graphql_name='symbol_ends_with')
symbol_not_ends_with = sgqlc.types.Field(String, graphql_name='symbol_not_ends_with')
decimals = sgqlc.types.Field(BigInt, graphql_name='decimals')
decimals_not = sgqlc.types.Field(BigInt, graphql_name='decimals_not')
decimals_gt = sgqlc.types.Field(BigInt, graphql_name='decimals_gt')
decimals_lt = sgqlc.types.Field(BigInt, graphql_name='decimals_lt')
decimals_gte = sgqlc.types.Field(BigInt, graphql_name='decimals_gte')
decimals_lte = sgqlc.types.Field(BigInt, graphql_name='decimals_lte')
decimals_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='decimals_in')
decimals_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='decimals_not_in')
name = sgqlc.types.Field(String, graphql_name='name')
name_not = sgqlc.types.Field(String, graphql_name='name_not')
name_gt = sgqlc.types.Field(String, graphql_name='name_gt')
name_lt = sgqlc.types.Field(String, graphql_name='name_lt')
name_gte = sgqlc.types.Field(String, graphql_name='name_gte')
name_lte = sgqlc.types.Field(String, graphql_name='name_lte')
name_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='name_in')
name_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='name_not_in')
name_contains = sgqlc.types.Field(String, graphql_name='name_contains')
name_not_contains = sgqlc.types.Field(String, graphql_name='name_not_contains')
name_starts_with = sgqlc.types.Field(String, graphql_name='name_starts_with')
name_not_starts_with = sgqlc.types.Field(String, graphql_name='name_not_starts_with')
name_ends_with = sgqlc.types.Field(String, graphql_name='name_ends_with')
name_not_ends_with = sgqlc.types.Field(String, graphql_name='name_not_ends_with')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
class Trade_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'order', 'order_not', 'order_gt', 'order_lt', 'order_gte', 'order_lte', 'order_in', 'order_not_in', 'order_contains', 'order_not_contains', 'order_starts_with', 'order_not_starts_with', 'order_ends_with', 'order_not_ends_with', 'owner', 'owner_not', 'owner_gt', 'owner_lt', 'owner_gte', 'owner_lte', 'owner_in', 'owner_not_in', 'owner_contains', 'owner_not_contains', 'owner_starts_with', 'owner_not_starts_with', 'owner_ends_with', 'owner_not_ends_with', 'sell_volume', 'sell_volume_not', 'sell_volume_gt', 'sell_volume_lt', 'sell_volume_gte', 'sell_volume_lte', 'sell_volume_in', 'sell_volume_not_in', 'buy_volume', 'buy_volume_not', 'buy_volume_gt', 'buy_volume_lt', 'buy_volume_gte', 'buy_volume_lte', 'buy_volume_in', 'buy_volume_not_in', 'trade_batch_id', 'trade_batch_id_not', 'trade_batch_id_gt', 'trade_batch_id_lt', 'trade_batch_id_gte', 'trade_batch_id_lte', 'trade_batch_id_in', 'trade_batch_id_not_in', 'trade_epoch', 'trade_epoch_not', 'trade_epoch_gt', 'trade_epoch_lt', 'trade_epoch_gte', 'trade_epoch_lte', 'trade_epoch_in', 'trade_epoch_not_in', 'buy_token', 'buy_token_not', 'buy_token_gt', 'buy_token_lt', 'buy_token_gte', 'buy_token_lte', 'buy_token_in', 'buy_token_not_in', 'buy_token_contains', 'buy_token_not_contains', 'buy_token_starts_with', 'buy_token_not_starts_with', 'buy_token_ends_with', 'buy_token_not_ends_with', 'sell_token', 'sell_token_not', 'sell_token_gt', 'sell_token_lt', 'sell_token_gte', 'sell_token_lte', 'sell_token_in', 'sell_token_not_in', 'sell_token_contains', 'sell_token_not_contains', 'sell_token_starts_with', 'sell_token_not_starts_with', 'sell_token_ends_with', 'sell_token_not_ends_with', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'revert_epoch', 'revert_epoch_not', 'revert_epoch_gt', 'revert_epoch_lt', 'revert_epoch_gte', 'revert_epoch_lte', 'revert_epoch_in', 'revert_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains', 'tx_log_index', 'tx_log_index_not', 'tx_log_index_gt', 'tx_log_index_lt', 'tx_log_index_gte', 'tx_log_index_lte', 'tx_log_index_in', 'tx_log_index_not_in')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
order = sgqlc.types.Field(String, graphql_name='order')
order_not = sgqlc.types.Field(String, graphql_name='order_not')
order_gt = sgqlc.types.Field(String, graphql_name='order_gt')
order_lt = sgqlc.types.Field(String, graphql_name='order_lt')
order_gte = sgqlc.types.Field(String, graphql_name='order_gte')
order_lte = sgqlc.types.Field(String, graphql_name='order_lte')
order_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='order_in')
order_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='order_not_in')
order_contains = sgqlc.types.Field(String, graphql_name='order_contains')
order_not_contains = sgqlc.types.Field(String, graphql_name='order_not_contains')
order_starts_with = sgqlc.types.Field(String, graphql_name='order_starts_with')
order_not_starts_with = sgqlc.types.Field(String, graphql_name='order_not_starts_with')
order_ends_with = sgqlc.types.Field(String, graphql_name='order_ends_with')
order_not_ends_with = sgqlc.types.Field(String, graphql_name='order_not_ends_with')
owner = sgqlc.types.Field(String, graphql_name='owner')
owner_not = sgqlc.types.Field(String, graphql_name='owner_not')
owner_gt = sgqlc.types.Field(String, graphql_name='owner_gt')
owner_lt = sgqlc.types.Field(String, graphql_name='owner_lt')
owner_gte = sgqlc.types.Field(String, graphql_name='owner_gte')
owner_lte = sgqlc.types.Field(String, graphql_name='owner_lte')
owner_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='owner_in')
owner_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='owner_not_in')
owner_contains = sgqlc.types.Field(String, graphql_name='owner_contains')
owner_not_contains = sgqlc.types.Field(String, graphql_name='owner_not_contains')
owner_starts_with = sgqlc.types.Field(String, graphql_name='owner_starts_with')
owner_not_starts_with = sgqlc.types.Field(String, graphql_name='owner_not_starts_with')
owner_ends_with = sgqlc.types.Field(String, graphql_name='owner_ends_with')
owner_not_ends_with = sgqlc.types.Field(String, graphql_name='owner_not_ends_with')
sell_volume = sgqlc.types.Field(BigInt, graphql_name='sellVolume')
sell_volume_not = sgqlc.types.Field(BigInt, graphql_name='sellVolume_not')
sell_volume_gt = sgqlc.types.Field(BigInt, graphql_name='sellVolume_gt')
sell_volume_lt = sgqlc.types.Field(BigInt, graphql_name='sellVolume_lt')
sell_volume_gte = sgqlc.types.Field(BigInt, graphql_name='sellVolume_gte')
sell_volume_lte = sgqlc.types.Field(BigInt, graphql_name='sellVolume_lte')
sell_volume_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='sellVolume_in')
sell_volume_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='sellVolume_not_in')
buy_volume = sgqlc.types.Field(BigInt, graphql_name='buyVolume')
buy_volume_not = sgqlc.types.Field(BigInt, graphql_name='buyVolume_not')
buy_volume_gt = sgqlc.types.Field(BigInt, graphql_name='buyVolume_gt')
buy_volume_lt = sgqlc.types.Field(BigInt, graphql_name='buyVolume_lt')
buy_volume_gte = sgqlc.types.Field(BigInt, graphql_name='buyVolume_gte')
buy_volume_lte = sgqlc.types.Field(BigInt, graphql_name='buyVolume_lte')
buy_volume_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='buyVolume_in')
buy_volume_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='buyVolume_not_in')
trade_batch_id = sgqlc.types.Field(BigInt, graphql_name='tradeBatchId')
trade_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='tradeBatchId_not')
trade_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='tradeBatchId_gt')
trade_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='tradeBatchId_lt')
trade_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='tradeBatchId_gte')
trade_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='tradeBatchId_lte')
trade_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='tradeBatchId_in')
trade_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='tradeBatchId_not_in')
trade_epoch = sgqlc.types.Field(BigInt, graphql_name='tradeEpoch')
trade_epoch_not = sgqlc.types.Field(BigInt, graphql_name='tradeEpoch_not')
trade_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='tradeEpoch_gt')
trade_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='tradeEpoch_lt')
trade_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='tradeEpoch_gte')
trade_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='tradeEpoch_lte')
trade_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='tradeEpoch_in')
trade_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='tradeEpoch_not_in')
buy_token = sgqlc.types.Field(String, graphql_name='buyToken')
buy_token_not = sgqlc.types.Field(String, graphql_name='buyToken_not')
buy_token_gt = sgqlc.types.Field(String, graphql_name='buyToken_gt')
buy_token_lt = sgqlc.types.Field(String, graphql_name='buyToken_lt')
buy_token_gte = sgqlc.types.Field(String, graphql_name='buyToken_gte')
buy_token_lte = sgqlc.types.Field(String, graphql_name='buyToken_lte')
buy_token_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='buyToken_in')
buy_token_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='buyToken_not_in')
buy_token_contains = sgqlc.types.Field(String, graphql_name='buyToken_contains')
buy_token_not_contains = sgqlc.types.Field(String, graphql_name='buyToken_not_contains')
buy_token_starts_with = sgqlc.types.Field(String, graphql_name='buyToken_starts_with')
buy_token_not_starts_with = sgqlc.types.Field(String, graphql_name='buyToken_not_starts_with')
buy_token_ends_with = sgqlc.types.Field(String, graphql_name='buyToken_ends_with')
buy_token_not_ends_with = sgqlc.types.Field(String, graphql_name='buyToken_not_ends_with')
sell_token = sgqlc.types.Field(String, graphql_name='sellToken')
sell_token_not = sgqlc.types.Field(String, graphql_name='sellToken_not')
sell_token_gt = sgqlc.types.Field(String, graphql_name='sellToken_gt')
sell_token_lt = sgqlc.types.Field(String, graphql_name='sellToken_lt')
sell_token_gte = sgqlc.types.Field(String, graphql_name='sellToken_gte')
sell_token_lte = sgqlc.types.Field(String, graphql_name='sellToken_lte')
sell_token_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='sellToken_in')
sell_token_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='sellToken_not_in')
sell_token_contains = sgqlc.types.Field(String, graphql_name='sellToken_contains')
sell_token_not_contains = sgqlc.types.Field(String, graphql_name='sellToken_not_contains')
sell_token_starts_with = sgqlc.types.Field(String, graphql_name='sellToken_starts_with')
sell_token_not_starts_with = sgqlc.types.Field(String, graphql_name='sellToken_not_starts_with')
sell_token_ends_with = sgqlc.types.Field(String, graphql_name='sellToken_ends_with')
sell_token_not_ends_with = sgqlc.types.Field(String, graphql_name='sellToken_not_ends_with')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
revert_epoch = sgqlc.types.Field(BigInt, graphql_name='revertEpoch')
revert_epoch_not = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_not')
revert_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_gt')
revert_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_lt')
revert_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_gte')
revert_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='revertEpoch_lte')
revert_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='revertEpoch_in')
revert_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='revertEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
tx_log_index = sgqlc.types.Field(BigInt, graphql_name='txLogIndex')
tx_log_index_not = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_not')
tx_log_index_gt = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_gt')
tx_log_index_lt = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_lt')
tx_log_index_gte = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_gte')
tx_log_index_lte = sgqlc.types.Field(BigInt, graphql_name='txLogIndex_lte')
tx_log_index_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='txLogIndex_in')
tx_log_index_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='txLogIndex_not_in')
class User_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'from_batch_id', 'from_batch_id_not', 'from_batch_id_gt', 'from_batch_id_lt', 'from_batch_id_gte', 'from_batch_id_lte', 'from_batch_id_in', 'from_batch_id_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
from_batch_id = sgqlc.types.Field(BigInt, graphql_name='fromBatchId')
from_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_not')
from_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_gt')
from_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_lt')
from_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_gte')
from_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='fromBatchId_lte')
from_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromBatchId_in')
from_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='fromBatchId_not_in')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
class WithdrawRequest_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'user', 'user_not', 'user_gt', 'user_lt', 'user_gte', 'user_lte', 'user_in', 'user_not_in', 'user_contains', 'user_not_contains', 'user_starts_with', 'user_not_starts_with', 'user_ends_with', 'user_not_ends_with', 'token_address', 'token_address_not', 'token_address_in', 'token_address_not_in', 'token_address_contains', 'token_address_not_contains', 'amount', 'amount_not', 'amount_gt', 'amount_lt', 'amount_gte', 'amount_lte', 'amount_in', 'amount_not_in', 'withdrawable_from_batch_id', 'withdrawable_from_batch_id_not', 'withdrawable_from_batch_id_gt', 'withdrawable_from_batch_id_lt', 'withdrawable_from_batch_id_gte', 'withdrawable_from_batch_id_lte', 'withdrawable_from_batch_id_in', 'withdrawable_from_batch_id_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'create_batch_id', 'create_batch_id_not', 'create_batch_id_gt', 'create_batch_id_lt', 'create_batch_id_gte', 'create_batch_id_lte', 'create_batch_id_in', 'create_batch_id_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
user = sgqlc.types.Field(String, graphql_name='user')
user_not = sgqlc.types.Field(String, graphql_name='user_not')
user_gt = sgqlc.types.Field(String, graphql_name='user_gt')
user_lt = sgqlc.types.Field(String, graphql_name='user_lt')
user_gte = sgqlc.types.Field(String, graphql_name='user_gte')
user_lte = sgqlc.types.Field(String, graphql_name='user_lte')
user_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='user_in')
user_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='user_not_in')
user_contains = sgqlc.types.Field(String, graphql_name='user_contains')
user_not_contains = sgqlc.types.Field(String, graphql_name='user_not_contains')
user_starts_with = sgqlc.types.Field(String, graphql_name='user_starts_with')
user_not_starts_with = sgqlc.types.Field(String, graphql_name='user_not_starts_with')
user_ends_with = sgqlc.types.Field(String, graphql_name='user_ends_with')
user_not_ends_with = sgqlc.types.Field(String, graphql_name='user_not_ends_with')
token_address = sgqlc.types.Field(Bytes, graphql_name='tokenAddress')
token_address_not = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_not')
token_address_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='tokenAddress_in')
token_address_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='tokenAddress_not_in')
token_address_contains = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_contains')
token_address_not_contains = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_not_contains')
amount = sgqlc.types.Field(BigInt, graphql_name='amount')
amount_not = sgqlc.types.Field(BigInt, graphql_name='amount_not')
amount_gt = sgqlc.types.Field(BigInt, graphql_name='amount_gt')
amount_lt = sgqlc.types.Field(BigInt, graphql_name='amount_lt')
amount_gte = sgqlc.types.Field(BigInt, graphql_name='amount_gte')
amount_lte = sgqlc.types.Field(BigInt, graphql_name='amount_lte')
amount_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='amount_in')
amount_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='amount_not_in')
withdrawable_from_batch_id = sgqlc.types.Field(BigInt, graphql_name='withdrawableFromBatchId')
withdrawable_from_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='withdrawableFromBatchId_not')
withdrawable_from_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='withdrawableFromBatchId_gt')
withdrawable_from_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='withdrawableFromBatchId_lt')
withdrawable_from_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='withdrawableFromBatchId_gte')
withdrawable_from_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='withdrawableFromBatchId_lte')
withdrawable_from_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='withdrawableFromBatchId_in')
withdrawable_from_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='withdrawableFromBatchId_not_in')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
create_batch_id = sgqlc.types.Field(BigInt, graphql_name='createBatchId')
create_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='createBatchId_not')
create_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='createBatchId_gt')
create_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='createBatchId_lt')
create_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='createBatchId_gte')
create_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='createBatchId_lte')
create_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createBatchId_in')
create_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createBatchId_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
class Withdraw_filter(sgqlc.types.Input):
__schema__ = graphql_schema
__field_names__ = ('id', 'id_not', 'id_gt', 'id_lt', 'id_gte', 'id_lte', 'id_in', 'id_not_in', 'user', 'user_not', 'user_gt', 'user_lt', 'user_gte', 'user_lte', 'user_in', 'user_not_in', 'user_contains', 'user_not_contains', 'user_starts_with', 'user_not_starts_with', 'user_ends_with', 'user_not_ends_with', 'token_address', 'token_address_not', 'token_address_in', 'token_address_not_in', 'token_address_contains', 'token_address_not_contains', 'amount', 'amount_not', 'amount_gt', 'amount_lt', 'amount_gte', 'amount_lte', 'amount_in', 'amount_not_in', 'create_epoch', 'create_epoch_not', 'create_epoch_gt', 'create_epoch_lt', 'create_epoch_gte', 'create_epoch_lte', 'create_epoch_in', 'create_epoch_not_in', 'create_batch_id', 'create_batch_id_not', 'create_batch_id_gt', 'create_batch_id_lt', 'create_batch_id_gte', 'create_batch_id_lte', 'create_batch_id_in', 'create_batch_id_not_in', 'tx_hash', 'tx_hash_not', 'tx_hash_in', 'tx_hash_not_in', 'tx_hash_contains', 'tx_hash_not_contains')
id = sgqlc.types.Field(ID, graphql_name='id')
id_not = sgqlc.types.Field(ID, graphql_name='id_not')
id_gt = sgqlc.types.Field(ID, graphql_name='id_gt')
id_lt = sgqlc.types.Field(ID, graphql_name='id_lt')
id_gte = sgqlc.types.Field(ID, graphql_name='id_gte')
id_lte = sgqlc.types.Field(ID, graphql_name='id_lte')
id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_in')
id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(ID)), graphql_name='id_not_in')
user = sgqlc.types.Field(String, graphql_name='user')
user_not = sgqlc.types.Field(String, graphql_name='user_not')
user_gt = sgqlc.types.Field(String, graphql_name='user_gt')
user_lt = sgqlc.types.Field(String, graphql_name='user_lt')
user_gte = sgqlc.types.Field(String, graphql_name='user_gte')
user_lte = sgqlc.types.Field(String, graphql_name='user_lte')
user_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='user_in')
user_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(String)), graphql_name='user_not_in')
user_contains = sgqlc.types.Field(String, graphql_name='user_contains')
user_not_contains = sgqlc.types.Field(String, graphql_name='user_not_contains')
user_starts_with = sgqlc.types.Field(String, graphql_name='user_starts_with')
user_not_starts_with = sgqlc.types.Field(String, graphql_name='user_not_starts_with')
user_ends_with = sgqlc.types.Field(String, graphql_name='user_ends_with')
user_not_ends_with = sgqlc.types.Field(String, graphql_name='user_not_ends_with')
token_address = sgqlc.types.Field(Bytes, graphql_name='tokenAddress')
token_address_not = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_not')
token_address_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='tokenAddress_in')
token_address_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='tokenAddress_not_in')
token_address_contains = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_contains')
token_address_not_contains = sgqlc.types.Field(Bytes, graphql_name='tokenAddress_not_contains')
amount = sgqlc.types.Field(BigInt, graphql_name='amount')
amount_not = sgqlc.types.Field(BigInt, graphql_name='amount_not')
amount_gt = sgqlc.types.Field(BigInt, graphql_name='amount_gt')
amount_lt = sgqlc.types.Field(BigInt, graphql_name='amount_lt')
amount_gte = sgqlc.types.Field(BigInt, graphql_name='amount_gte')
amount_lte = sgqlc.types.Field(BigInt, graphql_name='amount_lte')
amount_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='amount_in')
amount_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='amount_not_in')
create_epoch = sgqlc.types.Field(BigInt, graphql_name='createEpoch')
create_epoch_not = sgqlc.types.Field(BigInt, graphql_name='createEpoch_not')
create_epoch_gt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gt')
create_epoch_lt = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lt')
create_epoch_gte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_gte')
create_epoch_lte = sgqlc.types.Field(BigInt, graphql_name='createEpoch_lte')
create_epoch_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_in')
create_epoch_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createEpoch_not_in')
create_batch_id = sgqlc.types.Field(BigInt, graphql_name='createBatchId')
create_batch_id_not = sgqlc.types.Field(BigInt, graphql_name='createBatchId_not')
create_batch_id_gt = sgqlc.types.Field(BigInt, graphql_name='createBatchId_gt')
create_batch_id_lt = sgqlc.types.Field(BigInt, graphql_name='createBatchId_lt')
create_batch_id_gte = sgqlc.types.Field(BigInt, graphql_name='createBatchId_gte')
create_batch_id_lte = sgqlc.types.Field(BigInt, graphql_name='createBatchId_lte')
create_batch_id_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createBatchId_in')
create_batch_id_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(BigInt)), graphql_name='createBatchId_not_in')
tx_hash = sgqlc.types.Field(Bytes, graphql_name='txHash')
tx_hash_not = sgqlc.types.Field(Bytes, graphql_name='txHash_not')
tx_hash_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_in')
tx_hash_not_in = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null(Bytes)), graphql_name='txHash_not_in')
tx_hash_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_contains')
tx_hash_not_contains = sgqlc.types.Field(Bytes, graphql_name='txHash_not_contains')
########################################################################
# Output Objects and Interfaces
########################################################################
class Batch(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'start_epoch', 'end_epoch', 'solution', 'solutions', 'first_solution_epoch', 'last_revert_epoch', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
start_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='startEpoch')
end_epoch = sgqlc.types.Field(BigInt, graphql_name='endEpoch')
solution = sgqlc.types.Field(sgqlc.types.non_null('Solution'), graphql_name='solution')
solutions = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Solution'))), graphql_name='solutions', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Solution_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Solution_filter, graphql_name='where', default=None)),
))
)
first_solution_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='firstSolutionEpoch')
last_revert_epoch = sgqlc.types.Field(BigInt, graphql_name='lastRevertEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
class Deposit(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'user', 'token_address', 'amount', 'batch_id', 'create_epoch', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
user = sgqlc.types.Field(sgqlc.types.non_null('User'), graphql_name='user')
token_address = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='tokenAddress')
amount = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='amount')
batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='batchId')
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
class Order(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'owner', 'order_id', 'from_batch_id', 'from_epoch', 'until_batch_id', 'until_epoch', 'buy_token', 'sell_token', 'price_numerator', 'price_denominator', 'max_sell_amount', 'min_receive_amount', 'sold_volume', 'bought_volume', 'trades', 'create_epoch', 'cancel_epoch', 'delete_epoch', 'tx_hash', 'tx_log_index')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
owner = sgqlc.types.Field(sgqlc.types.non_null('User'), graphql_name='owner')
order_id = sgqlc.types.Field(sgqlc.types.non_null(Int), graphql_name='orderId')
from_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='fromBatchId')
from_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='fromEpoch')
until_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='untilBatchId')
until_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='untilEpoch')
buy_token = sgqlc.types.Field(sgqlc.types.non_null('Token'), graphql_name='buyToken')
sell_token = sgqlc.types.Field(sgqlc.types.non_null('Token'), graphql_name='sellToken')
price_numerator = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='priceNumerator')
price_denominator = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='priceDenominator')
max_sell_amount = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='maxSellAmount')
min_receive_amount = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='minReceiveAmount')
sold_volume = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='soldVolume')
bought_volume = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='boughtVolume')
trades = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Trade'))), graphql_name='trades', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Trade_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Trade_filter, graphql_name='where', default=None)),
))
)
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
cancel_epoch = sgqlc.types.Field(BigInt, graphql_name='cancelEpoch')
delete_epoch = sgqlc.types.Field(BigInt, graphql_name='deleteEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
tx_log_index = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='txLogIndex')
class Price(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'token', 'batch_id', 'price_in_owl_numerator', 'price_in_owl_denominator', 'volume', 'create_epoch', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
token = sgqlc.types.Field(sgqlc.types.non_null('Token'), graphql_name='token')
batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='batchId')
price_in_owl_numerator = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='priceInOwlNumerator')
price_in_owl_denominator = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='priceInOwlDenominator')
volume = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='volume')
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
class Query(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('token', 'tokens', 'price', 'prices', 'user', 'users', 'deposit', 'deposits', 'withdraw_request', 'withdraw_requests', 'withdraw', 'withdraws', 'order', 'orders', 'trade', 'trades', 'batch', 'batches', 'solution', 'solutions')
token = sgqlc.types.Field('Token', graphql_name='token', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
tokens = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Token'))), graphql_name='tokens', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Token_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Token_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
price = sgqlc.types.Field(Price, graphql_name='price', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
prices = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Price))), graphql_name='prices', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Price_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Price_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
user = sgqlc.types.Field('User', graphql_name='user', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
users = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('User'))), graphql_name='users', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(User_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(User_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
deposit = sgqlc.types.Field(Deposit, graphql_name='deposit', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
deposits = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Deposit))), graphql_name='deposits', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Deposit_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Deposit_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraw_request = sgqlc.types.Field('WithdrawRequest', graphql_name='withdrawRequest', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraw_requests = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('WithdrawRequest'))), graphql_name='withdrawRequests', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(WithdrawRequest_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(WithdrawRequest_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraw = sgqlc.types.Field('Withdraw', graphql_name='withdraw', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraws = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Withdraw'))), graphql_name='withdraws', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Withdraw_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Withdraw_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
order = sgqlc.types.Field(Order, graphql_name='order', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
orders = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Order))), graphql_name='orders', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Order_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Order_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
trade = sgqlc.types.Field('Trade', graphql_name='trade', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
trades = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Trade'))), graphql_name='trades', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Trade_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Trade_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
batch = sgqlc.types.Field(Batch, graphql_name='batch', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
batches = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Batch))), graphql_name='batches', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Batch_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Batch_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
solution = sgqlc.types.Field('Solution', graphql_name='solution', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
solutions = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Solution'))), graphql_name='solutions', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Solution_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Solution_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
class Solution(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'batch', 'solver', 'fee_reward', 'objective_value', 'trades', 'create_epoch', 'revert_epoch', 'tx_hash', 'tx_log_index')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
batch = sgqlc.types.Field(sgqlc.types.non_null(Batch), graphql_name='batch')
solver = sgqlc.types.Field('User', graphql_name='solver')
fee_reward = sgqlc.types.Field(BigInt, graphql_name='feeReward')
objective_value = sgqlc.types.Field(BigInt, graphql_name='objectiveValue')
trades = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Trade'))), graphql_name='trades', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Trade_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Trade_filter, graphql_name='where', default=None)),
))
)
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
revert_epoch = sgqlc.types.Field(BigInt, graphql_name='revertEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
tx_log_index = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='txLogIndex')
class Subscription(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('token', 'tokens', 'price', 'prices', 'user', 'users', 'deposit', 'deposits', 'withdraw_request', 'withdraw_requests', 'withdraw', 'withdraws', 'order', 'orders', 'trade', 'trades', 'batch', 'batches', 'solution', 'solutions')
token = sgqlc.types.Field('Token', graphql_name='token', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
tokens = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Token'))), graphql_name='tokens', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Token_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Token_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
price = sgqlc.types.Field(Price, graphql_name='price', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
prices = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Price))), graphql_name='prices', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Price_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Price_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
user = sgqlc.types.Field('User', graphql_name='user', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
users = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('User'))), graphql_name='users', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(User_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(User_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
deposit = sgqlc.types.Field(Deposit, graphql_name='deposit', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
deposits = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Deposit))), graphql_name='deposits', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Deposit_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Deposit_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraw_request = sgqlc.types.Field('WithdrawRequest', graphql_name='withdrawRequest', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraw_requests = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('WithdrawRequest'))), graphql_name='withdrawRequests', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(WithdrawRequest_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(WithdrawRequest_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraw = sgqlc.types.Field('Withdraw', graphql_name='withdraw', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
withdraws = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Withdraw'))), graphql_name='withdraws', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Withdraw_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Withdraw_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
order = sgqlc.types.Field(Order, graphql_name='order', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
orders = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Order))), graphql_name='orders', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Order_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Order_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
trade = sgqlc.types.Field('Trade', graphql_name='trade', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
trades = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Trade'))), graphql_name='trades', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Trade_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Trade_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
batch = sgqlc.types.Field(Batch, graphql_name='batch', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
batches = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Batch))), graphql_name='batches', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Batch_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Batch_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
solution = sgqlc.types.Field(Solution, graphql_name='solution', args=sgqlc.types.ArgDict((
('id', sgqlc.types.Arg(sgqlc.types.non_null(ID), graphql_name='id', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
solutions = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Solution))), graphql_name='solutions', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Solution_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Solution_filter, graphql_name='where', default=None)),
('block', sgqlc.types.Arg(Block_height, graphql_name='block', default=None)),
))
)
class Token(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'address', 'from_batch_id', 'symbol', 'decimals', 'name', 'create_epoch', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
address = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='address')
from_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='fromBatchId')
symbol = sgqlc.types.Field(String, graphql_name='symbol')
decimals = sgqlc.types.Field(BigInt, graphql_name='decimals')
name = sgqlc.types.Field(String, graphql_name='name')
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
class Trade(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'order', 'owner', 'sell_volume', 'buy_volume', 'trade_batch_id', 'trade_epoch', 'buy_token', 'sell_token', 'create_epoch', 'revert_epoch', 'tx_hash', 'tx_log_index')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
order = sgqlc.types.Field(sgqlc.types.non_null(Order), graphql_name='order')
owner = sgqlc.types.Field(sgqlc.types.non_null('User'), graphql_name='owner')
sell_volume = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='sellVolume')
buy_volume = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='buyVolume')
trade_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='tradeBatchId')
trade_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='tradeEpoch')
buy_token = sgqlc.types.Field(sgqlc.types.non_null(Token), graphql_name='buyToken')
sell_token = sgqlc.types.Field(sgqlc.types.non_null(Token), graphql_name='sellToken')
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
revert_epoch = sgqlc.types.Field(BigInt, graphql_name='revertEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
tx_log_index = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='txLogIndex')
class User(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'from_batch_id', 'orders', 'deposits', 'withdraw_requests', 'withdrawals', 'create_epoch', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
from_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='fromBatchId')
orders = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Order))), graphql_name='orders', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Order_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Order_filter, graphql_name='where', default=None)),
))
)
deposits = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(Deposit))), graphql_name='deposits', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Deposit_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Deposit_filter, graphql_name='where', default=None)),
))
)
withdraw_requests = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('WithdrawRequest'))), graphql_name='withdrawRequests', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(WithdrawRequest_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(WithdrawRequest_filter, graphql_name='where', default=None)),
))
)
withdrawals = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('Withdraw'))), graphql_name='withdrawals', args=sgqlc.types.ArgDict((
('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=0)),
('first', sgqlc.types.Arg(Int, graphql_name='first', default=100)),
('order_by', sgqlc.types.Arg(Withdraw_orderBy, graphql_name='orderBy', default=None)),
('order_direction', sgqlc.types.Arg(OrderDirection, graphql_name='orderDirection', default=None)),
('where', sgqlc.types.Arg(Withdraw_filter, graphql_name='where', default=None)),
))
)
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
class Withdraw(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'user', 'token_address', 'amount', 'create_epoch', 'create_batch_id', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
user = sgqlc.types.Field(sgqlc.types.non_null(User), graphql_name='user')
token_address = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='tokenAddress')
amount = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='amount')
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
create_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createBatchId')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
class WithdrawRequest(sgqlc.types.Type):
__schema__ = graphql_schema
__field_names__ = ('id', 'user', 'token_address', 'amount', 'withdrawable_from_batch_id', 'create_epoch', 'create_batch_id', 'tx_hash')
id = sgqlc.types.Field(sgqlc.types.non_null(ID), graphql_name='id')
user = sgqlc.types.Field(sgqlc.types.non_null(User), graphql_name='user')
token_address = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='tokenAddress')
amount = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='amount')
withdrawable_from_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='withdrawableFromBatchId')
create_epoch = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createEpoch')
create_batch_id = sgqlc.types.Field(sgqlc.types.non_null(BigInt), graphql_name='createBatchId')
tx_hash = sgqlc.types.Field(sgqlc.types.non_null(Bytes), graphql_name='txHash')
########################################################################
# Unions
########################################################################
########################################################################
# Schema Entry Points
########################################################################
graphql_schema.query_type = Query
graphql_schema.mutation_type = None
graphql_schema.subscription_type = Subscription
| 87.066804
| 3,454
| 0.75493
| 18,296
| 126,421
| 4.84155
| 0.0088
| 0.200607
| 0.159176
| 0.065059
| 0.953455
| 0.931182
| 0.918289
| 0.852655
| 0.787167
| 0.750127
| 0
| 0.000945
| 0.095577
| 126,421
| 1,451
| 3,455
| 87.126809
| 0.773785
| 0.000751
| 0
| 0.645137
| 0
| 0
| 0.241642
| 0.032341
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.000742
| 0
| 0.77951
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 9
|
6d9d3618b0104107289fe905218d315f5bdd2565
| 1,654
|
py
|
Python
|
app/routes.py
|
mikkokotila/padma
|
f0b6012f1808e2a2e0f769ddbe5cc2e19dae017c
|
[
"MIT"
] | null | null | null |
app/routes.py
|
mikkokotila/padma
|
f0b6012f1808e2a2e0f769ddbe5cc2e19dae017c
|
[
"MIT"
] | 8
|
2020-07-18T08:49:21.000Z
|
2020-07-30T18:11:51.000Z
|
app/routes.py
|
mikkokotila/padma
|
f0b6012f1808e2a2e0f769ddbe5cc2e19dae017c
|
[
"MIT"
] | null | null | null |
from fastapi import Request
from app import app
# dictionary_lookup
@app.get('/dictionary_lookup')
def dictionary_lookup(request: Request):
from .models.dictionary_lookup import dictionary_lookup
return dictionary_lookup(request)
@app.post('/dictionary_lookup')
def dictionary_lookup(request: Request):
from .models.dictionary_lookup import dictionary_lookup
return dictionary_lookup(request)
# search_texts
@app.get('/search_texts')
def search_texts(request: Request):
from .models.search_texts import search_texts
return search_texts(request)
@app.post('/search_texts')
def search_texts(request: Request):
from .models.search_texts import search_texts
return search_texts(request)
# render_text
@app.get('/render_text')
def render_text(request: Request):
from .models.render_text import render_text
return render_text(request)
@app.post('/render_text')
def render_text(request: Request):
from .models.render_text import render_text
return render_text(request)
# word_statistics
@app.get('/word_statistics')
def word_statistics(request: Request):
from .models.word_statistics import word_statistics
return word_statistics(request)
@app.post('/word_statistics')
def word_statistics(request: Request):
from .models.word_statistics import word_statistics
return word_statistics(request)
# tokenize
@app.get('/tokenize')
def tokenize(request: Request):
from .models.tokenize import tokenize
return tokenize(request)
@app.post('/tokenize')
def tokenize(request: Request):
from .models.tokenize import tokenize
return tokenize(request)
| 19.927711
| 59
| 0.76058
| 207
| 1,654
| 5.864734
| 0.091787
| 0.099671
| 0.14827
| 0.197694
| 0.864909
| 0.864909
| 0.864909
| 0.864909
| 0.864909
| 0.864909
| 0
| 0
| 0.145707
| 1,654
| 83
| 60
| 19.927711
| 0.859165
| 0.040508
| 0
| 0.714286
| 0
| 0
| 0.085967
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.238095
| false
| 0
| 0.285714
| 0
| 0.761905
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 10
|
6de42352e7382a9ec1ca95ebb399b4af5e79b31f
| 534
|
py
|
Python
|
py/add_ssh_key.py
|
christophfranke/continuous-integration-tools
|
eeb77a624303f5b5971ea7110a8352ff72feb312
|
[
"MIT"
] | null | null | null |
py/add_ssh_key.py
|
christophfranke/continuous-integration-tools
|
eeb77a624303f5b5971ea7110a8352ff72feb312
|
[
"MIT"
] | null | null | null |
py/add_ssh_key.py
|
christophfranke/continuous-integration-tools
|
eeb77a624303f5b5971ea7110a8352ff72feb312
|
[
"MIT"
] | null | null | null |
from modules import engine
from modules import out
from modules import ssh
@engine.prepare_and_clean
def execute():
out.log("deploying ssh key to server authfile. After this, you do not need to type you password to login to the server.")
ssh.add_key_to_server()
def help():
out.log("This command appends your local keyfile from ~/.ssh/id_rsa.pub to the servers authfile ~/.ssh/authorized_keys. These values are hard coded, so if the server is not configured in a standard way, this command is not compatible.", 'help')
| 41.076923
| 248
| 0.758427
| 90
| 534
| 4.422222
| 0.6
| 0.082915
| 0.128141
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 534
| 12
| 249
| 44.5
| 0.894382
| 0
| 0
| 0
| 0
| 0.222222
| 0.634831
| 0.043071
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| true
| 0.111111
| 0.333333
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
61ecb3cfb196de0482f5f232cd8046830d50f5ca
| 3,550
|
py
|
Python
|
app/tests/test_ping.py
|
alexandrecorso/actraceroute
|
3d4889fd769f5801a9bf3ef49cf063c0e4a6b060
|
[
"MIT"
] | null | null | null |
app/tests/test_ping.py
|
alexandrecorso/actraceroute
|
3d4889fd769f5801a9bf3ef49cf063c0e4a6b060
|
[
"MIT"
] | 1
|
2021-05-10T10:32:29.000Z
|
2021-05-10T10:32:29.000Z
|
app/tests/test_ping.py
|
alexandrecorso/actraceroute
|
3d4889fd769f5801a9bf3ef49cf063c0e4a6b060
|
[
"MIT"
] | null | null | null |
import json
import unittest
from application import create_app
class PingTest(unittest.TestCase):
"""
Users Test Case
"""
def setUp(self):
"""
Test Setup
"""
self.app = create_app()
self.client = self.app.test_client
def tearDown(self):
pass
def test_ping_4_valid(self):
res = self.client().get('/api/ping/4/9.9.9.9')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertTrue(json_data.get('is_valid'))
self.assertIsInstance(json_data.get('data'), dict)
self.assertEqual(json_data.get('data').get('destination'), "9.9.9.9")
self.assertEqual(json_data.get('data').get('icmp_type'), 0)
res = self.client().get('/api/ping/4/acorso.fr')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertTrue(json_data.get('is_valid'))
self.assertIsInstance(json_data.get('data'), dict)
self.assertEqual(json_data.get('data').get('destination'), "45.12.184.4")
self.assertEqual(json_data.get('data').get('icmp_type'), 0)
def test_ping_4_invalid(self):
res = self.client().get('/api/ping/4/2001::1')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertFalse(json_data.get('is_valid'))
res = self.client().get('/api/ping/4/dontexist')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertFalse(json_data.get('is_valid'))
def test_ping_4_error(self):
res = self.client().get('/api/ping/4/9.9.9.9/')
self.assertEqual(res.status_code, 404)
res = self.client().get('/api/ping/4/acorso.fr/')
self.assertEqual(res.status_code, 404)
def test_ping_6_valid(self):
res = self.client().get('/api/ping/6/2620:fe::fe:9')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertTrue(json_data.get('is_valid'))
self.assertIsInstance(json_data.get('data'), dict)
self.assertEqual(json_data.get('data').get('destination'), "2620:fe::fe:9")
self.assertEqual(json_data.get('data').get('icmp_type'), 129)
res = self.client().get('/api/ping/6/acorso.fr')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertTrue(json_data.get('is_valid'))
self.assertIsInstance(json_data.get('data'), dict)
self.assertEqual(json_data.get('data').get('destination'), "2a0e:b700::4")
self.assertEqual(json_data.get('data').get('icmp_type'), 129)
def test_ping_6_invalid(self):
res = self.client().get('/api/ping/6/9.9.9.9')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertFalse(json_data.get('is_valid'))
res = self.client().get('/api/ping/6/2001::1')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertFalse(json_data.get('is_valid'))
res = self.client().get('/api/ping/6/dontexist')
self.assertEqual(res.status_code, 200)
json_data = json.loads(res.data)
self.assertFalse(json_data.get('is_valid'))
def test_ping_6_error(self):
res = self.client().get('/api/ping/6/9.9.9.9/')
self.assertEqual(res.status_code, 404)
res = self.client().get('/api/ping/6/acorso.fr/')
self.assertEqual(res.status_code, 404)
| 36.979167
| 83
| 0.627887
| 506
| 3,550
| 4.252964
| 0.114625
| 0.111524
| 0.107342
| 0.096654
| 0.886617
| 0.886617
| 0.877788
| 0.877323
| 0.832714
| 0.832714
| 0
| 0.042478
| 0.204225
| 3,550
| 95
| 84
| 37.368421
| 0.719292
| 0.007324
| 0
| 0.549296
| 0
| 0
| 0.146915
| 0.043902
| 0
| 0
| 0
| 0
| 0.478873
| 1
| 0.112676
| false
| 0.014085
| 0.042254
| 0
| 0.169014
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
114800c52b88871d149c19ac7716796bfdb920e0
| 16
|
py
|
Python
|
models/cells/PC2015Masoli/__init__.py
|
appukuttan-shailesh/hbp-cerebellum-models
|
b3dd9726f8473a805f2d83daf9e5239374e60eb6
|
[
"BSD-3-Clause"
] | null | null | null |
models/cells/PC2015Masoli/__init__.py
|
appukuttan-shailesh/hbp-cerebellum-models
|
b3dd9726f8473a805f2d83daf9e5239374e60eb6
|
[
"BSD-3-Clause"
] | null | null | null |
models/cells/PC2015Masoli/__init__.py
|
appukuttan-shailesh/hbp-cerebellum-models
|
b3dd9726f8473a805f2d83daf9e5239374e60eb6
|
[
"BSD-3-Clause"
] | null | null | null |
# PC2015Masoli/
| 8
| 15
| 0.75
| 1
| 16
| 12
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 0.125
| 16
| 1
| 16
| 16
| 0.571429
| 0.8125
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
feebaa95fea5fdfb9cc4109aa948969abc00e755
| 14,351
|
py
|
Python
|
countess/tests/test_experiment_basic_lib_coding.py
|
VariantEffect/Enrich2-py3
|
5f8534c8c9259d90d99d70e5bd9140fd0fdc8ea4
|
[
"BSD-3-Clause"
] | 4
|
2020-01-14T19:24:07.000Z
|
2020-01-16T18:11:35.000Z
|
countess/tests/test_experiment_basic_lib_coding.py
|
VariantEffect/CountESS
|
5f8534c8c9259d90d99d70e5bd9140fd0fdc8ea4
|
[
"BSD-3-Clause"
] | 3
|
2020-01-01T10:38:15.000Z
|
2020-01-03T09:45:41.000Z
|
countess/tests/test_experiment_basic_lib_coding.py
|
VariantEffect/CountESS
|
5f8534c8c9259d90d99d70e5bd9140fd0fdc8ea4
|
[
"BSD-3-Clause"
] | 1
|
2022-02-20T00:35:24.000Z
|
2022-02-20T00:35:24.000Z
|
import unittest
from copy import deepcopy
from ..experiment.experiment import Experiment
from .methods import HDF5TestComponent
from .utilities import DEFAULT_STORE_PARAMS
from .utilities import load_config_data, update_cfg_file
CFG_FILE = "basic_experiment_coding.json"
CFG_DIR = "data/config/experiment/"
READS_DIR = "data/reads/experiment/"
RESULT_DIR = "data/result/experiment/"
DRIVER = "runTest"
LIBTYPE = "basic"
CODING_STR = "c"
FILE_EXT = "tsv"
FILE_SEP = "\t"
class TestExperimentBasicLibWLSScoringCompleteNormC(unittest.TestCase):
def setUp(self):
scoring = "WLS"
logr = "complete"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibWLSScoringFullNormC(unittest.TestCase):
def setUp(self):
scoring = "WLS"
logr = "full"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibWLSScoringWTNormC(unittest.TestCase):
def setUp(self):
scoring = "WLS"
logr = "wt"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibOLSScoringCompleteNormC(unittest.TestCase):
def setUp(self):
scoring = "OLS"
logr = "complete"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibOLSScoringFullNormC(unittest.TestCase):
def setUp(self):
scoring = "OLS"
logr = "full"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibOLSScoringWTNormC(unittest.TestCase):
def setUp(self):
scoring = "OLS"
logr = "wt"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibRatiosScoringCompleteNormC(unittest.TestCase):
def setUp(self):
scoring = "ratios"
logr = "complete"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibRatiosScoringFullNormC(unittest.TestCase):
def setUp(self):
scoring = "ratios"
logr = "full"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibRatiosScoringWTNormC(unittest.TestCase):
def setUp(self):
scoring = "ratios"
logr = "wt"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibCountsScoringCompleteNormC(unittest.TestCase):
def setUp(self):
scoring = "counts"
logr = "complete"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibCountsScoringFullNormC(unittest.TestCase):
def setUp(self):
scoring = "counts"
logr = "full"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibCountsScoringWTNormC(unittest.TestCase):
def setUp(self):
scoring = "counts"
logr = "wt"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibSimpleScoringCompleteNormC(unittest.TestCase):
def setUp(self):
scoring = "simple"
logr = "complete"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibSimpleScoringFullNormC(unittest.TestCase):
def setUp(self):
scoring = "simple"
logr = "full"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
class TestExperimentBasicLibSimpleScoringWTNormC(unittest.TestCase):
def setUp(self):
scoring = "simple"
logr = "wt"
cfg = load_config_data(CFG_FILE, CFG_DIR)
cfg = update_cfg_file(cfg, scoring, logr)
params = deepcopy(DEFAULT_STORE_PARAMS)
self.general_test_component = HDF5TestComponent(
store_constructor=Experiment,
cfg=cfg,
result_dir=RESULT_DIR,
file_ext=FILE_EXT,
file_sep=FILE_SEP,
save=False,
params=params,
verbose=False,
libtype=LIBTYPE,
scoring_method=scoring,
logr_method=logr,
coding="coding",
)
self.general_test_component.setUp()
def tearDown(self):
self.general_test_component.tearDown()
def test_all_hdf5_dataframes(self):
self.general_test_component.runTest()
if __name__ == "__main__":
unittest.main()
| 30.340381
| 74
| 0.617657
| 1,464
| 14,351
| 5.752049
| 0.053279
| 0.078375
| 0.106876
| 0.171001
| 0.876618
| 0.876618
| 0.876618
| 0.876618
| 0.805724
| 0.805724
| 0
| 0.003096
| 0.302348
| 14,351
| 472
| 75
| 30.404661
| 0.837994
| 0
| 0
| 0.884521
| 0
| 0
| 0.024667
| 0.006689
| 0
| 0
| 0
| 0
| 0
| 1
| 0.110565
| false
| 0
| 0.014742
| 0
| 0.162162
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 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
| 8
|
3a28bd489741bc496452966a5d051523e03a2dd3
| 3,893
|
py
|
Python
|
test/pyaz/sql/elastic_pool/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | null | null | null |
test/pyaz/sql/elastic_pool/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | 9
|
2021-09-24T16:37:24.000Z
|
2021-12-24T00:39:19.000Z
|
test/pyaz/sql/elastic_pool/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | null | null | null |
import json, subprocess
from ... pyaz_utils import get_cli_name, get_params
def create(license_type=None, max_size=None, __NAME=None, __PER_DATABASE_SETTINGS=None, tags=None, zone_redundant=None, maint_config_id=None, db_dtu_max=None, db_dtu_min=None, capacity=None, family=None, tier=None, server, resource_group, name, __SKU=None, no_wait=None):
params = get_params(locals())
command = "az sql elastic-pool create " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def delete(resource_group, server, name, no_wait=None):
params = get_params(locals())
command = "az sql elastic-pool delete " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def show(resource_group, server, name):
params = get_params(locals())
command = "az sql elastic-pool show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list(resource_group, server, skip=None):
params = get_params(locals())
command = "az sql elastic-pool list " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def update(resource_group, server, name, db_dtu_max=None, db_dtu_min=None, max_size=None, zone_redundant=None, tier=None, family=None, capacity=None, maint_config_id=None, set=None, add=None, remove=None, force_string=None, no_wait=None):
params = get_params(locals())
command = "az sql elastic-pool update " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list_dbs(resource_group, server, name):
params = get_params(locals())
command = "az sql elastic-pool list-dbs " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list_editions(location, tier=None, dtu=None, vcores=None, show_details=None, available=None):
params = get_params(locals())
command = "az sql elastic-pool list-editions " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
| 38.166667
| 271
| 0.674287
| 503
| 3,893
| 5.121272
| 0.153082
| 0.076087
| 0.054348
| 0.057065
| 0.815217
| 0.798913
| 0.798913
| 0.798913
| 0.78028
| 0.78028
| 0
| 0.004532
| 0.206525
| 3,893
| 101
| 272
| 38.544554
| 0.829395
| 0
| 0
| 0.827957
| 0
| 0
| 0.067814
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.021505
| null | null | 0.225806
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
3a36fd95383e89d84913251f3c9ef5540add3608
| 12,387
|
py
|
Python
|
src/tests/test_issues.py
|
aaqib-ali/issue-trackerAPI
|
d6fdee853585a9929b8f19e9216f999a6c7c3cf8
|
[
"MIT"
] | null | null | null |
src/tests/test_issues.py
|
aaqib-ali/issue-trackerAPI
|
d6fdee853585a9929b8f19e9216f999a6c7c3cf8
|
[
"MIT"
] | null | null | null |
src/tests/test_issues.py
|
aaqib-ali/issue-trackerAPI
|
d6fdee853585a9929b8f19e9216f999a6c7c3cf8
|
[
"MIT"
] | null | null | null |
import json
import pytest
from app.db import issue_crud, product_crud
def test_post_creates_issue_successfully_with_valid_data(test_app, monkeypatch):
test_product = {"title": "issue on something 1", "description": "something happened 1", "id": 1, "product_owner": "foo", "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000+00:00"}
test_data = {"title": "issue title 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}
def mock_get_product(db_session, productId):
return test_product
monkeypatch.setattr(product_crud, "get", mock_get_product)
def mock_post(db_session, payload):
return test_data
monkeypatch.setattr(issue_crud, "post", mock_post)
response = test_app.post("/products/1/issues/", data=json.dumps(test_data))
assert response.status_code == 201
assert response.json() == test_data
def test_post_create_issue_fails_when_product_does_not_exist(test_app, monkeypatch):
test_data = {"title": "issue title 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}
def mock_get_product(db_session, productId):
return None
monkeypatch.setattr(product_crud, "get", mock_get_product)
def mock_post(db_session, payload):
return None
monkeypatch.setattr(issue_crud, "post", mock_post)
response = test_app.post("/products/1/issues/", data=json.dumps(test_data))
assert response.status_code == 404
assert response.json()["detail"] == "product not found! Must create product first"
@pytest.mark.parametrize(
"payload, status_code",
[
[{}, 422],
[{"title": "", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[{"title": "something happened 1", "description": "", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[{"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[{"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[{"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[{"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "", "status":"on hold"}, 422],
[{"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":""}, 422],
],
)
def test_post_create_issue_fails_with_invalid_data(test_app, monkeypatch, payload, status_code):
response = test_app.post("/products/1/issues/", data=json.dumps(payload))
assert response.status_code == 422
def test_get_reads_all_issues_for_given_productId_successfully(test_app, monkeypatch):
test_data = [
{"title": "issue title 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"},
{"title": "issue title 2", "description": "something happened 2", "id": 2, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}
]
def mock_get_all(db_session, productId):
return test_data
monkeypatch.setattr(issue_crud, "get_all_by_product", mock_get_all)
response = test_app.get("/products/1/issues")
assert response.status_code == 200
assert response.json() == test_data
def test_get_reads_issue_successfully_with_id(test_app, monkeypatch):
test_data = {"title": "issue title 1","description": "something happened 1","productId": 2,"updatedBy": "foo","updatedDate": "2020-08-23T23:28:56.782000","assignedTo": "bar","status": "on hold","createdBy": "foo","id": 2,"createdDate": "2020-08-24T15:18:01.455618"}
def mock_get(db_session, productId, id):
return test_data
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.get("/products/2/issues/2")
assert response.status_code == 200
assert response.json() == test_data
def test_get_read_issue_fails_with_not_found_when_product_does_not_exist(test_app, monkeypatch):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.get("/products/1/issues/1")
assert response.status_code == 404
assert response.json()["detail"] == "issue not found"
def test_get_read_issue_fails_with_invalid_response_when_incorrect_productId(test_app, monkeypatch):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.get("/products/0/issues/2")
assert response.status_code == 422
def test_get_read_issue_fails_with_invalid_response_when_incorrect_issue_id(test_app, monkeypatch):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.get("/products/1/issues/0")
assert response.status_code == 422
def test_put_updates_issue_successfully_with_valid_data(test_app, monkeypatch):
test_data = {"title": "issue title 1","description": "something happened 1","productId": 1,"updatedBy": "foo","updatedDate": "2020-08-23T23:28:56.782000","assignedTo": "bar","status": "on hold","createdBy": "foo","id": 2,"createdDate": "2020-08-24T15:18:01.455618"}
test_update_data = {"title": "updated issue title","description": "updated description","productId": 1,"updatedBy": "updated foo","updatedDate": "2020-08-23T23:28:56.782000","assignedTo": "updated bar","status": "on hold","createdBy": "updated foo","id": 2,"createdDate": "2020-08-24T15:18:01.455618"}
def mock_get(db_session,productId, id):
return test_data
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
def mock_put(db_session, issue, title, description, productId, createdBy, updatedBy, updatedDate, assignedTo, status):
return test_update_data
monkeypatch.setattr(issue_crud, "put", mock_put)
response = test_app.put("/products/2/issues/12/", data=json.dumps(test_update_data),)
assert response.status_code == 200
assert response.json() == test_update_data
@pytest.mark.parametrize(
"productId, id, payload, status_code",
[
[1, 1, {}, 422],
[1, 1, {"title": "", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[1, 1, {"title": "something happened 1", "description": "", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[1, 1, {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[1, 1, {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[1, 1, {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 422],
[1, 1, {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "", "status":"on hold"}, 422],
[1, 1, {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":""}, 422],
[999, 999, {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}, 404],
],
)
def test_put_update_issue_fails_with_invalid_data(test_app, monkeypatch, productId, id, payload, status_code):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.put(f"/products/{productId}/issues/{id}/", data=json.dumps(payload),)
assert response.status_code == status_code
def test_delete_removes_issue_successfully_when_issue_exists(test_app, monkeypatch):
test_data = {"title": "something happened 1", "description": "something happened 1", "id": 1, "productId": 1, "createdBy": "foo", "updatedBy": "foo", "updatedDate": "2020-08-23T23:28:56.782000", "createdDate": "2020-08-23T23:28:56.782000", "assignedTo": "bar", "status":"on hold"}
def mock_get(db_session, productId, id):
return test_data
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
def mock_delete(db_session, productId, id):
return test_data
monkeypatch.setattr(issue_crud, "delete", mock_delete)
response = test_app.delete("/products/1/issues/1/")
assert response.status_code == 200
assert response.json() == test_data
def test_delete_remove_issue_fails_when_issue_does_not_exist(test_app, monkeypatch):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.delete("/products/999/issues/999/")
assert response.status_code == 404
assert response.json()["detail"] == "issue not found"
def test_delete_remove_issue_fails_when_productId_is_invalid(test_app, monkeypatch):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.delete("/products/0/issues/1/")
assert response.status_code == 422
def test_delete_remove_issue_fails_when_issue_id_is_invalid(test_app, monkeypatch):
def mock_get(db_session, productId, id):
return None
monkeypatch.setattr(issue_crud, "get_by_id", mock_get)
response = test_app.delete("/products/1/issues/0/")
assert response.status_code == 422
| 63.523077
| 305
| 0.682005
| 1,647
| 12,387
| 4.952034
| 0.059502
| 0.03384
| 0.057994
| 0.068539
| 0.891
| 0.874203
| 0.863413
| 0.838156
| 0.793404
| 0.76079
| 0
| 0.107543
| 0.135222
| 12,387
| 195
| 306
| 63.523077
| 0.653846
| 0
| 0
| 0.485915
| 0
| 0
| 0.40071
| 0.108654
| 0
| 0
| 0
| 0
| 0.15493
| 1
| 0.21831
| false
| 0
| 0.021127
| 0.119718
| 0.359155
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 8
|
e93b8d82838cc3bbe24b515c6a34c71037eb3fe1
| 2,244
|
py
|
Python
|
rc4-wave-starter/rc4wave.py
|
gptt916/D27-Computer-and-Network-Security
|
80d82f78316b53f04290cc078d5f0b361958d183
|
[
"MIT"
] | null | null | null |
rc4-wave-starter/rc4wave.py
|
gptt916/D27-Computer-and-Network-Security
|
80d82f78316b53f04290cc078d5f0b361958d183
|
[
"MIT"
] | null | null | null |
rc4-wave-starter/rc4wave.py
|
gptt916/D27-Computer-and-Network-Security
|
80d82f78316b53f04290cc078d5f0b361958d183
|
[
"MIT"
] | null | null | null |
from Crypto.Cipher import ARC4
from Crypto.Hash import SHA
from Crypto import Random
import wave
def encrypt(key_filename, input_filename, output_filename):
'''
Encrypts the wave input file (input_filename) with the key (key_filename) using the rc4 cipher (from pycrypto)
and writes the wave output file (output_filename).
The wave output file must be a playable wave file.
(string, string, string) -> None
'''
#open input file and retrieve content and header parameter
wavFile = wave.open(input_filename, 'rb')
wavBytes = wavFile.readframes(wavFile.getnframes())
params = wavFile.getparams()
wavFile.close()
#open key file and read key into bytes
keyFile = open(key_filename, 'r')
keyStr= keyFile.read()
key = bytes(keyStr, "UTF-8")
keyFile.close()
# nonce = Random.new().read(16)
# tempkey = SHA.new(key+nonce).digest()
# cipher = ARC4.new(tempkey)
cipher = ARC4.new(key)
# msg = nonce + cipher.encrypt(wavBytes)
msg = cipher.encrypt(wavBytes)
#open output file, set header parameters and write contents
wavOut = wave.open(output_filename, 'wb')
wavOut.setparams(params)
wavOut.writeframes(msg)
wavOut.close()
def decrypt(key_filename, input_filename, output_filename):
'''
Decrypts the wave input file (input_filename) with the key (key_filename) using the rc4 cipher (from pycrypto)
and writes the wave output file (output_filename).
The wave output file must be a playable wave file.
(string, string, string) -> None
'''
#open input file and retrieve content and header parameter
wavFile = wave.open(input_filename, 'rb')
wavBytes = wavFile.readframes(wavFile.getnframes())
params = wavFile.getparams()
wavFile.close()
#open key file and read key into bytes
keyFile = open(key_filename, 'r')
keyStr= keyFile.read()
key = bytes(keyStr, "UTF-8")
keyFile.close()
#create new cipher with key
cipher = ARC4.new(key)
msg = cipher.decrypt(wavBytes)
#open output file, set header parameters and write contents
wavOut = wave.open(output_filename, 'wb')
wavOut.setparams(params)
wavOut.writeframes(msg)
wavOut.close()
| 31.166667
| 114
| 0.687611
| 295
| 2,244
| 5.169492
| 0.230508
| 0.043279
| 0.034098
| 0.04459
| 0.828852
| 0.803934
| 0.754098
| 0.754098
| 0.754098
| 0.754098
| 0
| 0.005663
| 0.213012
| 2,244
| 71
| 115
| 31.605634
| 0.857871
| 0.427362
| 0
| 0.764706
| 0
| 0
| 0.01642
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0.117647
| 0
| 0.176471
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
3a8b8571090ceb4bf442abdc100fb4e89ee5ddd5
| 147
|
py
|
Python
|
interface/models/__init__.py
|
Flatlooker/simple_ml
|
468e86792a14bc8b7d432f36bfda11e581d5c40d
|
[
"Unlicense"
] | null | null | null |
interface/models/__init__.py
|
Flatlooker/simple_ml
|
468e86792a14bc8b7d432f36bfda11e581d5c40d
|
[
"Unlicense"
] | null | null | null |
interface/models/__init__.py
|
Flatlooker/simple_ml
|
468e86792a14bc8b7d432f36bfda11e581d5c40d
|
[
"Unlicense"
] | null | null | null |
from .async_model_client import AsyncModelClient
from .sync_model_client import SyncModelClient
from .simple_model_client import SimpleModelClient
| 36.75
| 50
| 0.897959
| 18
| 147
| 7
| 0.555556
| 0.261905
| 0.404762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 147
| 3
| 51
| 49
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3a99eee7eb316f11d43d1bfb5ff15891a44910a5
| 15,643
|
py
|
Python
|
models/demo/DenseNet_6416.py
|
KaiOtter/pytorch_DSOD_variants
|
f29088b13b24f24e2cf20e9a2dc800cd6dbde145
|
[
"MIT"
] | 1
|
2018-11-01T07:31:35.000Z
|
2018-11-01T07:31:35.000Z
|
models/demo/DenseNet_6416.py
|
KaiOtter/pytorch_DSOD_variants
|
f29088b13b24f24e2cf20e9a2dc800cd6dbde145
|
[
"MIT"
] | 1
|
2018-12-21T12:42:03.000Z
|
2018-12-21T12:42:03.000Z
|
models/demo/DenseNet_6416.py
|
Kaidy-Boom/pytorch_DSOD_variants
|
f29088b13b24f24e2cf20e9a2dc800cd6dbde145
|
[
"MIT"
] | 1
|
2019-10-23T00:38:37.000Z
|
2019-10-23T00:38:37.000Z
|
from models.demo.layer_blocks import *
from models.demo.RFBs import *
def stem():
return nn.Sequential(
nn.Conv2d(3, 64, 3, 2, 1, bias=False),
nn.BatchNorm2d(64),
nn.ReLU(inplace=True),
nn.Conv2d(64, 64, 3, 1, 1, bias=False),
nn.BatchNorm2d(64),
nn.ReLU(inplace=True),
nn.Conv2d(64, 128, 3, 1, 1, bias=False),
nn.BatchNorm2d(128),
nn.ReLU(inplace=True),
nn.MaxPool2d(2, 2, ceil_mode=True)
)
class DenseNet_64_16(nn.Module):
# the output fea_size of dense_sup5 is 1x1
def __init__(self):
super(DenseNet_64_16, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x)
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x)
f3 = self.dense_sup2(f2)
f4 = self.dense_sup3(f3)
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
return f1, f2, f3, f4, f5, f6
class DenseNet_64_16_FPN(nn.Module):
'''
Fea_Map Coverage: f1, f2, f3, f4
1. FPN
'''
def __init__(self, upmode='nearest'):
super(DenseNet_64_16_FPN, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
self.RBF1 = FPN(512, 256, 256, mode=upmode)
self.RBF2 = FPN(512, 256, 256, mode=upmode)
self.RBF3 = FPN(352, 256, 256, mode=upmode)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x) #40x40 352
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x) #20x20 512
f3 = self.dense_sup2(f2) #10x10 512
f4 = self.dense_sup3(f3) #5x5 256
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
out3 = self.RBF1(f3, f4) #10x10 256
out2 = self.RBF2(f2, out3) #20x20 256
out1 = self.RBF3(f1, out2) #40x40 256
return out1, out2, out3, f4, f5, f6
# class DenseNet_64_16_FPN2(nn.Module):
# '''
# Fea_Map Coverage: f1, f2, f3, f4
# 1. FPN
# '''
# def __init__(self, upmode='nearest'):
# super(DenseNet_64_16_FPN2, self).__init__()
# self.model_name = 'DenseNet'
# self.stem = stem()
# self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
# self.trans1 = TransitionLayer(224, 224, pool=True)
# self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
# self.trans2 = TransitionLayer(352, 352, pool=True)
# self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
# self.trans3 = TransitionLayer(480, 480)
# self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
# self.trans4 = TransitionLayer(608, 256)
# self.dense_sup1 = DenseSupervision1(352, 256)
# self.dense_sup2 = DenseSupervision(512, 256)
# self.dense_sup3 = DenseSupervision(512, 128)
# self.dense_sup4 = DenseSupervision(256, 128)
# self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
# self.RBF1 = FPN2_b(512, 256, 256, mode=upmode)
# self.RBF2 = FPN2_b(512, 256, 256, mode=upmode)
# self.RBF3 = FPN2_b(352, 256, 256, mode=upmode)
#
# def forward(self, x):
# x = self.stem(x)
# x = self.dense1(x)
# _, x = self.trans1(x)
# x = self.dense2(x)
# f1, x = self.trans2(x) #40x40 352
# x = self.dense3(x)
# _, x = self.trans3(x)
# x = self.dense4(x)
# _, x = self.trans4(x)
# f2 = self.dense_sup1(f1, x) #20x20 512
# f3 = self.dense_sup2(f2) #10x10 512
# f4 = self.dense_sup3(f3) #5x5 256
# f5 = self.dense_sup4(f4)
# f6 = self.dense_sup5(f5)
# out3 = self.RBF1(f3, f4) #10x10 256
# out2 = self.RBF2(f2, out3) #20x20 256
# out1 = self.RBF3(f1, out2) #40x40 256
#
# return out1, out2, out3, f4, f5, f6
class DenseNet_64_16_DSSD(nn.Module):
'''
Fea_Map Coverage: f1, f2, f3, f4
2. DSSD, Deconvolution module
'''
def __init__(self):
super(DenseNet_64_16_DSSD, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
self.RBF1 = Deconv(512, 256, 256)
self.RBF2 = Deconv(512, 256, 256)
self.RBF3 = Deconv(352, 256, 256)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x) #40x40 352
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x) #20x20 512
f3 = self.dense_sup2(f2) #10x10 512
f4 = self.dense_sup3(f3) #5x5 256
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
out3 = self.RBF1(f3, f4) #10x10 256
out2 = self.RBF2(f2, out3) #20x20 256
out1 = self.RBF3(f1, out2) #40x40 256
return out1, out2, out3, f4, f5, f6
class DenseNet_64_16_DSSD_s(nn.Module):
'''
Fea_Map Coverage: f1, f2, f3, f4
A lite version of Deconv.
Remove the redundant 3x3 conv in DSSD block
'''
def __init__(self):
super(DenseNet_64_16_DSSD_s, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
self.RBF1 = Deconv_s(512, 256, 256)
self.RBF2 = Deconv_s(512, 256, 256)
self.RBF3 = Deconv_s(352, 256, 256)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
print(x.shape)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x) #40x40 352
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x) #20x20 512
f3 = self.dense_sup2(f2) #10x10 512
f4 = self.dense_sup3(f3) #5x5 256
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
out3 = self.RBF1(f3, f4) #10x10 256
out2 = self.RBF2(f2, out3) #20x20 256
out1 = self.RBF3(f1, out2) #40x40 256
return out1, out2, out3, f4, f5, f6
class DenseNet_64_16_RON(nn.Module):
'''
Fea_Map Coverage: f1, f2, f3, f4
3. RON, reverse connection block
'''
def __init__(self):
super(DenseNet_64_16_RON, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
self.RBF1 = RON(512, 256, 256)
self.RBF2 = RON(512, 256, 256)
self.RBF3 = RON(352, 256, 256)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x) #40x40 352
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x) #20x20 512
f3 = self.dense_sup2(f2) #10x10 512
f4 = self.dense_sup3(f3) #5x5 256
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
out3 = self.RBF1(f3, f4) #10x10 256
out2 = self.RBF2(f2, out3) #20x20 256
out1 = self.RBF3(f1, out2) #40x40 256
return out1, out2, out3, f4, f5, f6
class DenseNet_64_16_RON2(nn.Module):
'''
Fea_Map Coverage: f1, f2, f3, f4
3. RON, reverse connection block
'''
def __init__(self):
super(DenseNet_64_16_RON2, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
self.RBF1 = RON2(512, 256, 256)
self.RBF2 = RON2(512, 256, 256)
self.RBF3 = RON2(352, 256, 256)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x) #40x40 352
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x) #20x20 512
f3 = self.dense_sup2(f2) #10x10 512
f4 = self.dense_sup3(f3) #5x5 256
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
out3 = self.RBF1(f3, f4) #10x10 256
out2 = self.RBF2(f2, out3) #20x20 256
out1 = self.RBF3(f1, out2) #40x40 256
return out1, out2, out3, f4, f5, f6
class DSSD_s_SE(nn.Module):
'''
Fea_Map Coverage: f1, f2, f3, f4
Deconv_s with SE block
'''
def __init__(self):
super(DSSD_s_SE, self).__init__()
self.model_name = 'DenseNet'
self.stem = stem()
self.dense1 = DenseBlock(6, 128, midC=64, growth_rate=16)
self.trans1 = TransitionLayer(224, 224, pool=True)
self.dense2 = DenseBlock(8, 224, midC=64, growth_rate=16)
self.trans2 = TransitionLayer(352, 352, pool=True)
self.dense3 = DenseBlock(8, 352, midC=64, growth_rate=16)
self.trans3 = TransitionLayer(480, 480)
self.dense4 = DenseBlock(8, 480, midC=64, growth_rate=16)
self.trans4 = TransitionLayer(608, 256)
self.dense_sup1 = DenseSupervision1(352, 256)
self.dense_sup2 = DenseSupervision(512, 256)
self.dense_sup3 = DenseSupervision(512, 128)
self.dense_sup4 = DenseSupervision(256, 128)
self.dense_sup5 = DenseSupervision(256, 128, ceil=False)
self.RBF1 = Deconv_s(512, 256, 256)
self.RBF2 = Deconv_s(512, 256, 256)
self.RBF3 = Deconv_s(352, 256, 256)
self.SEblock1 = SELayer(256, reduction=8)
self.SEblock2 = SELayer(256, reduction=8)
self.SEblock3 = SELayer(256, reduction=8)
def forward(self, x):
x = self.stem(x)
x = self.dense1(x)
_, x = self.trans1(x)
x = self.dense2(x)
f1, x = self.trans2(x) #40x40 352
x = self.dense3(x)
_, x = self.trans3(x)
x = self.dense4(x)
_, x = self.trans4(x)
f2 = self.dense_sup1(f1, x) #20x20 512
f3 = self.dense_sup2(f2) #10x10 512
f4 = self.dense_sup3(f3) #5x5 256
f5 = self.dense_sup4(f4)
f6 = self.dense_sup5(f5)
out3 = self.RBF1(f3, f4) #10x10 256
out3 = self.SEblock1(out3)
out2 = self.RBF2(f2, out3) #20x20 256
out2 = self.SEblock2(out2)
out1 = self.RBF3(f1, out2) #40x40 256
out1 = self.SEblock3(out1)
return out1, out2, out3, f4, f5, f6
if __name__ == '__main__':
m = DenseNet_64_16_DSSD_s()
input = t.autograd.Variable(t.randn(1, 3, 320, 320))
m.eval()
o = m(input)
print("xxxxxxxxxxxxxxxxxxx")
for ii in o:
print(ii.shape)
# input = t.randn(1, 256, 3, 3)
# maxp = nn.MaxPool2d(2, 2, ceil_mode=False)
# conv = nn.Conv2d(256, 256, 3, 1*False, 0, bias=False)
# output = conv(input)
# print(output.shape)
| 37.693976
| 67
| 0.587228
| 2,167
| 15,643
| 4.106138
| 0.064605
| 0.080917
| 0.037761
| 0.057541
| 0.92886
| 0.904023
| 0.894134
| 0.869184
| 0.855136
| 0.845021
| 0
| 0.16579
| 0.283194
| 15,643
| 415
| 68
| 37.693976
| 0.627754
| 0.180592
| 0
| 0.825658
| 0
| 0
| 0.007172
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.049342
| false
| 0
| 0.006579
| 0.003289
| 0.105263
| 0.009868
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
3ab669a38a0ca5d481f3e7ba0ac37a8fd456479b
| 18,403
|
py
|
Python
|
sdk/python/pulumi_azure/iot/certificate.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/iot/certificate.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/iot/certificate.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"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__ = ['CertificateArgs', 'Certificate']
@pulumi.input_type
class CertificateArgs:
def __init__(__self__, *,
certificate_content: pulumi.Input[str],
iothub_name: pulumi.Input[str],
resource_group_name: pulumi.Input[str],
is_verified: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Certificate resource.
:param pulumi.Input[str] certificate_content: The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
:param pulumi.Input[str] iothub_name: The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
:param pulumi.Input[bool] is_verified: Is the certificate verified? Defaults to `false`.
:param pulumi.Input[str] name: Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
"""
pulumi.set(__self__, "certificate_content", certificate_content)
pulumi.set(__self__, "iothub_name", iothub_name)
pulumi.set(__self__, "resource_group_name", resource_group_name)
if is_verified is not None:
pulumi.set(__self__, "is_verified", is_verified)
if name is not None:
pulumi.set(__self__, "name", name)
@property
@pulumi.getter(name="certificateContent")
def certificate_content(self) -> pulumi.Input[str]:
"""
The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
"""
return pulumi.get(self, "certificate_content")
@certificate_content.setter
def certificate_content(self, value: pulumi.Input[str]):
pulumi.set(self, "certificate_content", value)
@property
@pulumi.getter(name="iothubName")
def iothub_name(self) -> pulumi.Input[str]:
"""
The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "iothub_name")
@iothub_name.setter
def iothub_name(self, value: pulumi.Input[str]):
pulumi.set(self, "iothub_name", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Input[str]:
"""
The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: pulumi.Input[str]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter(name="isVerified")
def is_verified(self) -> Optional[pulumi.Input[bool]]:
"""
Is the certificate verified? Defaults to `false`.
"""
return pulumi.get(self, "is_verified")
@is_verified.setter
def is_verified(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "is_verified", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@pulumi.input_type
class _CertificateState:
def __init__(__self__, *,
certificate_content: Optional[pulumi.Input[str]] = None,
iothub_name: Optional[pulumi.Input[str]] = None,
is_verified: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Certificate resources.
:param pulumi.Input[str] certificate_content: The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
:param pulumi.Input[str] iothub_name: The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
:param pulumi.Input[bool] is_verified: Is the certificate verified? Defaults to `false`.
:param pulumi.Input[str] name: Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
"""
if certificate_content is not None:
pulumi.set(__self__, "certificate_content", certificate_content)
if iothub_name is not None:
pulumi.set(__self__, "iothub_name", iothub_name)
if is_verified is not None:
pulumi.set(__self__, "is_verified", is_verified)
if name is not None:
pulumi.set(__self__, "name", name)
if resource_group_name is not None:
pulumi.set(__self__, "resource_group_name", resource_group_name)
@property
@pulumi.getter(name="certificateContent")
def certificate_content(self) -> Optional[pulumi.Input[str]]:
"""
The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
"""
return pulumi.get(self, "certificate_content")
@certificate_content.setter
def certificate_content(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "certificate_content", value)
@property
@pulumi.getter(name="iothubName")
def iothub_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "iothub_name")
@iothub_name.setter
def iothub_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "iothub_name", value)
@property
@pulumi.getter(name="isVerified")
def is_verified(self) -> Optional[pulumi.Input[bool]]:
"""
Is the certificate verified? Defaults to `false`.
"""
return pulumi.get(self, "is_verified")
@is_verified.setter
def is_verified(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "is_verified", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_group_name", value)
class Certificate(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
certificate_content: Optional[pulumi.Input[str]] = None,
iothub_name: Optional[pulumi.Input[str]] = None,
is_verified: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Manages an IotHub Certificate.
## Example Usage
```python
import pulumi
import base64
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_io_t_hub = azure.iot.IoTHub("exampleIoTHub",
resource_group_name=example_resource_group.name,
location=example_resource_group.location,
sku=azure.iot.IoTHubSkuArgs(
name="B1",
capacity=1,
))
example_certificate = azure.iot.Certificate("exampleCertificate",
resource_group_name=example_resource_group.name,
iothub_name=example_io_t_hub.name,
is_verified=True,
certificate_content=(lambda path: base64.b64encode(open(path).read().encode()).decode())("example.cer"))
```
## Import
IoTHub Certificates can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:iot/certificate:Certificate example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Devices/IotHubs/example/Certificates/example
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] certificate_content: The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
:param pulumi.Input[str] iothub_name: The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
:param pulumi.Input[bool] is_verified: Is the certificate verified? Defaults to `false`.
:param pulumi.Input[str] name: Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: CertificateArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages an IotHub Certificate.
## Example Usage
```python
import pulumi
import base64
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_io_t_hub = azure.iot.IoTHub("exampleIoTHub",
resource_group_name=example_resource_group.name,
location=example_resource_group.location,
sku=azure.iot.IoTHubSkuArgs(
name="B1",
capacity=1,
))
example_certificate = azure.iot.Certificate("exampleCertificate",
resource_group_name=example_resource_group.name,
iothub_name=example_io_t_hub.name,
is_verified=True,
certificate_content=(lambda path: base64.b64encode(open(path).read().encode()).decode())("example.cer"))
```
## Import
IoTHub Certificates can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:iot/certificate:Certificate example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Devices/IotHubs/example/Certificates/example
```
:param str resource_name: The name of the resource.
:param CertificateArgs 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(CertificateArgs, 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,
certificate_content: Optional[pulumi.Input[str]] = None,
iothub_name: Optional[pulumi.Input[str]] = None,
is_verified: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
resource_group_name: 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__ = CertificateArgs.__new__(CertificateArgs)
if certificate_content is None and not opts.urn:
raise TypeError("Missing required property 'certificate_content'")
__props__.__dict__["certificate_content"] = certificate_content
if iothub_name is None and not opts.urn:
raise TypeError("Missing required property 'iothub_name'")
__props__.__dict__["iothub_name"] = iothub_name
__props__.__dict__["is_verified"] = is_verified
__props__.__dict__["name"] = name
if resource_group_name is None and not opts.urn:
raise TypeError("Missing required property 'resource_group_name'")
__props__.__dict__["resource_group_name"] = resource_group_name
super(Certificate, __self__).__init__(
'azure:iot/certificate:Certificate',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
certificate_content: Optional[pulumi.Input[str]] = None,
iothub_name: Optional[pulumi.Input[str]] = None,
is_verified: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None) -> 'Certificate':
"""
Get an existing Certificate 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.
:param pulumi.Input[str] certificate_content: The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
:param pulumi.Input[str] iothub_name: The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
:param pulumi.Input[bool] is_verified: Is the certificate verified? Defaults to `false`.
:param pulumi.Input[str] name: Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _CertificateState.__new__(_CertificateState)
__props__.__dict__["certificate_content"] = certificate_content
__props__.__dict__["iothub_name"] = iothub_name
__props__.__dict__["is_verified"] = is_verified
__props__.__dict__["name"] = name
__props__.__dict__["resource_group_name"] = resource_group_name
return Certificate(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="certificateContent")
def certificate_content(self) -> pulumi.Output[str]:
"""
The Base-64 representation of the X509 leaf certificate .cer file or just a .pem file content.
"""
return pulumi.get(self, "certificate_content")
@property
@pulumi.getter(name="iothubName")
def iothub_name(self) -> pulumi.Output[str]:
"""
The name of the IoTHub that this certificate will be attached to. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "iothub_name")
@property
@pulumi.getter(name="isVerified")
def is_verified(self) -> pulumi.Output[Optional[bool]]:
"""
Is the certificate verified? Defaults to `false`.
"""
return pulumi.get(self, "is_verified")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Specifies the name of the IotHub Certificate resource. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Output[str]:
"""
The name of the resource group under which the IotHub Certificate resource has to be created. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
| 46.122807
| 207
| 0.663261
| 2,212
| 18,403
| 5.305606
| 0.090868
| 0.064673
| 0.064417
| 0.050614
| 0.859322
| 0.840491
| 0.829158
| 0.807601
| 0.795245
| 0.774199
| 0
| 0.008493
| 0.245069
| 18,403
| 398
| 208
| 46.238693
| 0.836248
| 0.403304
| 0
| 0.653659
| 1
| 0
| 0.111201
| 0.007575
| 0
| 0
| 0
| 0
| 0
| 1
| 0.156098
| false
| 0.004878
| 0.02439
| 0
| 0.273171
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3abffacd48fa64cec21b136f408fc103c27f1e38
| 57
|
py
|
Python
|
ntire2021/utils/misc/__init__.py
|
solcummings/ntire2021-sar
|
25d60874632135daf39805837b850bba46c3f3a5
|
[
"Apache-2.0"
] | 9
|
2021-06-19T20:26:40.000Z
|
2022-03-17T08:39:59.000Z
|
ntire2021/utils/misc/__init__.py
|
solcummings/ntire2021-sar
|
25d60874632135daf39805837b850bba46c3f3a5
|
[
"Apache-2.0"
] | 2
|
2021-12-21T07:42:21.000Z
|
2022-01-23T02:10:32.000Z
|
earthvision2021/utils/misc/__init__.py
|
solcummings/earthvision2021-weakly-supervised
|
d008a3cd7bf53ee43aa3c2682416954d6a5bb102
|
[
"Apache-2.0"
] | null | null | null |
from utils.misc import log
from utils.misc import seeds
| 14.25
| 28
| 0.807018
| 10
| 57
| 4.6
| 0.6
| 0.391304
| 0.565217
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 57
| 3
| 29
| 19
| 0.958333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
c9231def9c59aefa86632011d6b8a4799fcb40cf
| 1,803
|
py
|
Python
|
file-management/multimedia/test_check_and_process_multimedia_file_process.py
|
gbesancon/projects
|
7a9da629dddcf21fbe5c043d86b00036f80cbe14
|
[
"MIT"
] | null | null | null |
file-management/multimedia/test_check_and_process_multimedia_file_process.py
|
gbesancon/projects
|
7a9da629dddcf21fbe5c043d86b00036f80cbe14
|
[
"MIT"
] | 1
|
2022-03-02T10:43:58.000Z
|
2022-03-02T10:43:58.000Z
|
file-management/multimedia/test_check_and_process_multimedia_file_process.py
|
gbesancon/projects
|
7a9da629dddcf21fbe5c043d86b00036f80cbe14
|
[
"MIT"
] | null | null | null |
import unittest
import check_and_process_multimedia_file
class Test_CheckAndProcessMultimediaFile(unittest.TestCase):
TEST_FOLDER_PATH = "D:\\gbesancon\\00-temp\\Photos"
def test_main_no_args_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "-p"])
self.assertTrue(valid)
def test_main_set_dates_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "--set-dates", "-p"])
self.assertTrue(valid)
def test_main_set_dates_use_folder_date_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "--set-dates", "--use-folder-date", "-p"])
self.assertTrue(valid)
def test_main_set_dates_rename_files_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "--set-dates", "--rename-files", "-p"])
self.assertTrue(valid)
def test_main_set_dates_use_folder_date_rename_files_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "--set-dates", "--use-folder-date", "--rename-files", "-p"])
self.assertTrue(valid)
def test_main_set_dates_move_files_rename_files_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "--set-dates", "--move-files", "--rename-files", "-p"])
self.assertTrue(valid)
def test_main_set_dates_use_folder_date_move_files_rename_files_process(self):
valid = check_and_process_multimedia_file.main(["-d", self.TEST_FOLDER_PATH, "--set-dates", "--use-folder-date", "--move-files", "--rename-files", "-p"])
self.assertTrue(valid)
if __name__ == '__main__':
unittest.main()
| 50.083333
| 162
| 0.701054
| 241
| 1,803
| 4.804979
| 0.145228
| 0.082902
| 0.103627
| 0.172712
| 0.87133
| 0.846287
| 0.846287
| 0.846287
| 0.821244
| 0.736615
| 0
| 0.00131
| 0.153078
| 1,803
| 36
| 163
| 50.083333
| 0.75704
| 0
| 0
| 0.259259
| 0
| 0
| 0.148672
| 0.016959
| 0
| 0
| 0
| 0
| 0.259259
| 1
| 0.259259
| false
| 0
| 0.074074
| 0
| 0.407407
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c949671c89d1b99b24348c63041c31193eab2d7d
| 5,920
|
py
|
Python
|
backstage/migrations/0002_carouseldisplay_categoryrecommendation_contactinfo_flowerimgurl_footerlistinfo_indexinfo_newsinfo_pr.py
|
JiajiaHuang/smonus
|
95ec209ae3562ea73ee9ce4c22a0d3a3f0975210
|
[
"Unlicense"
] | null | null | null |
backstage/migrations/0002_carouseldisplay_categoryrecommendation_contactinfo_flowerimgurl_footerlistinfo_indexinfo_newsinfo_pr.py
|
JiajiaHuang/smonus
|
95ec209ae3562ea73ee9ce4c22a0d3a3f0975210
|
[
"Unlicense"
] | null | null | null |
backstage/migrations/0002_carouseldisplay_categoryrecommendation_contactinfo_flowerimgurl_footerlistinfo_indexinfo_newsinfo_pr.py
|
JiajiaHuang/smonus
|
95ec209ae3562ea73ee9ce4c22a0d3a3f0975210
|
[
"Unlicense"
] | null | null | null |
# Generated by Django 2.2.1 on 2020-02-14 17:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('backstage', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='CarouselDisplay',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('carousel_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='轮播编号')),
('carousel_url', models.CharField(blank=True, max_length=256, null=True, verbose_name='轮播链接')),
('carousel_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='轮播信息')),
('carousel_lg', models.CharField(blank=True, max_length=256, null=True, verbose_name='轮播语言')),
],
),
migrations.CreateModel(
name='CategoryRecommendation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('category_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='产品编号')),
('category_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='推荐信息')),
('category_url', models.CharField(blank=True, max_length=256, null=True, verbose_name='推荐信息')),
('category_img', models.CharField(blank=True, max_length=256, null=True, verbose_name='推荐信息')),
('category_time', models.CharField(blank=True, max_length=256, null=True, verbose_name='推荐时间')),
],
),
migrations.CreateModel(
name='ContactInfo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('contact_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='contact编号')),
('contact_url', models.CharField(blank=True, max_length=256, null=True, verbose_name='contact链接')),
('contact_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='contact信息')),
('contact_lg', models.CharField(blank=True, max_length=256, null=True, verbose_name='contact语言')),
],
),
migrations.CreateModel(
name='FlowerImgUrl',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('flower_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='flower编号')),
('flower_url', models.CharField(blank=True, max_length=256, null=True, verbose_name='flower链接')),
('flower_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='flower信息')),
('flower_lg', models.CharField(blank=True, max_length=256, null=True, verbose_name='flower语言')),
],
),
migrations.CreateModel(
name='FooterListInfo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('footer_list_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='footer_list编号')),
('footer_list_sort', models.CharField(blank=True, max_length=256, null=True, verbose_name='footer_list排序')),
('footer_list_url', models.CharField(blank=True, max_length=256, null=True, verbose_name='footer_list链接')),
('footer_list_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='footer_list信息')),
('footer_list_lg', models.CharField(blank=True, max_length=256, null=True, verbose_name='footer_list语言')),
],
),
migrations.CreateModel(
name='IndexInfo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('page_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='信息名字')),
('page_where', models.CharField(blank=True, max_length=256, null=True, verbose_name='信息位置')),
('page_name', models.CharField(blank=True, max_length=256, null=True, verbose_name='信息显示 ')),
('page_url', models.CharField(blank=True, max_length=256, null=True, verbose_name='信息链接')),
('page_lg', models.CharField(blank=True, max_length=256, null=True, verbose_name='信息语言 ')),
],
),
migrations.CreateModel(
name='NewsInfo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('news_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='新闻编号')),
('news_name', models.CharField(blank=True, max_length=256, null=True, verbose_name='新闻名称')),
('news_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='新闻信息')),
('news_lg', models.CharField(blank=True, max_length=256, null=True, verbose_name='新闻语言')),
],
),
migrations.CreateModel(
name='ProductRecommendation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('product_nub', models.CharField(blank=True, max_length=256, null=True, verbose_name='产品编号')),
('product_info', models.CharField(blank=True, max_length=256, null=True, verbose_name='推荐信息')),
('product_time', models.CharField(blank=True, max_length=256, null=True, verbose_name='推荐时间')),
],
),
]
| 61.666667
| 124
| 0.616216
| 665
| 5,920
| 5.279699
| 0.144361
| 0.131586
| 0.193677
| 0.232412
| 0.765309
| 0.765309
| 0.765309
| 0.765309
| 0.765309
| 0.765309
| 0
| 0.026734
| 0.235473
| 5,920
| 95
| 125
| 62.315789
| 0.749006
| 0.007601
| 0
| 0.449438
| 1
| 0
| 0.130257
| 0.007322
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.011236
| 0
| 0.044944
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c9758422892a365973794e8081f51519efd3eda0
| 128
|
py
|
Python
|
thebigselector/__init__.py
|
kantal/thebigselector
|
ac3c67d80ef0701dc6699dc98fc009efd9cabf6a
|
[
"MIT"
] | null | null | null |
thebigselector/__init__.py
|
kantal/thebigselector
|
ac3c67d80ef0701dc6699dc98fc009efd9cabf6a
|
[
"MIT"
] | null | null | null |
thebigselector/__init__.py
|
kantal/thebigselector
|
ac3c67d80ef0701dc6699dc98fc009efd9cabf6a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .__version__ import __version__
from .thebigselector import __doc__
from .thebigselector import *
| 21.333333
| 36
| 0.757813
| 14
| 128
| 6.071429
| 0.571429
| 0.423529
| 0.564706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009091
| 0.140625
| 128
| 5
| 37
| 25.6
| 0.763636
| 0.164063
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
a31ca6a80741f8bc3120fc705fb05a97e5dbd14f
| 5,174
|
py
|
Python
|
src/snovault/elasticsearch/tests/test_esstorage.py
|
IGVF-DACC/snovault
|
d6da6d375f9e9fc87c601426cd71d6dfff06bdb3
|
[
"MIT"
] | 14
|
2016-04-21T08:27:41.000Z
|
2021-06-01T11:35:28.000Z
|
src/snovault/elasticsearch/tests/test_esstorage.py
|
ENCODE-DCC/snovault
|
b3f1fb33723840cbe4d8e31a03a920862b23eec0
|
[
"MIT"
] | 122
|
2016-07-01T23:38:41.000Z
|
2022-03-11T23:11:47.000Z
|
src/snovault/elasticsearch/tests/test_esstorage.py
|
IGVF-DACC/snovault
|
d6da6d375f9e9fc87c601426cd71d6dfff06bdb3
|
[
"MIT"
] | 24
|
2016-04-21T08:27:46.000Z
|
2022-01-11T19:00:28.000Z
|
import pytest
from unittest.mock import Mock
class TestPickStorage(object):
def test_get_rev_links_with_switched_storage(self):
# If we have a model that was loaded from elasticsearch
# but the datastore is now database, we need to be sure
# to get the rev links from the database.
from pyramid.testing import (
DummyRequest,
testConfig,
)
from ..esstorage import (
CachedModel,
PickStorage,
)
model = CachedModel({'_source': {'uuid': 'dummy'}})
model2 = Mock()
read = Mock()
write = Mock()
write.get_by_uuid.return_value = model2
storage = PickStorage(read, write)
request = DummyRequest()
request.datastore = 'database'
with testConfig(request=request):
storage.get_rev_links(model, 'rel')
assert write.get_rev_links.called_once
rev_links_model = write.get_rev_links.call_args[0][0]
assert rev_links_model is model2
def test_pick_storage_get_by_unique_key_forces_database_request_when_model_is_invalidated(dummy_request):
from pyramid.testing import testConfig
from ..esstorage import PickStorage
# Uses ES when model not invalidated.
dummy_request.datastore = 'elasticsearch'
es_model = Mock()
pg_model = Mock()
read = Mock()
write = Mock()
read.get_by_unique_key.return_value = es_model
write.get_by_unique_key.return_value = pg_model
es_model.invalidated.return_value = False
pg_model.invalidated.return_value = False
storage = PickStorage(read, write)
with testConfig(request=dummy_request):
model = storage.get_by_unique_key('accession', 'SNOFL000LSQ')
assert model is es_model
assert dummy_request.datastore == 'elasticsearch'
# Switches to PG when model invalidated.
es_model.invalidated.return_value = True
with testConfig(request=dummy_request):
model = storage.get_by_unique_key('accession', 'SNOFL000LSQ')
assert model is pg_model
assert dummy_request.datastore == 'database'
def test_pick_storage_get_by_uuid_forces_database_request_when_model_is_invalidated(dummy_request):
from pyramid.testing import testConfig
from ..esstorage import PickStorage
# Uses ES when model not invalidated.
dummy_request.datastore = 'elasticsearch'
es_model = Mock()
pg_model = Mock()
read = Mock()
write = Mock()
read.get_by_uuid.return_value = es_model
write.get_by_uuid.return_value = pg_model
es_model.invalidated.return_value = False
pg_model.invalidated.return_value = False
storage = PickStorage(read, write)
with testConfig(request=dummy_request):
model = storage.get_by_uuid('123')
assert model is es_model
assert dummy_request.datastore == 'elasticsearch'
# Switches to PG when model invalidated.
es_model.invalidated.return_value = True
with testConfig(request=dummy_request):
model = storage.get_by_uuid('123')
assert model is pg_model
assert dummy_request.datastore == 'database'
def test_pick_storage_get_by_unique_key_does_not_force_database_when_model_is_none(dummy_request):
from pyramid.testing import testConfig
from ..esstorage import PickStorage
dummy_request.datastore = 'elasticsearch'
es_model = Mock()
pg_model = Mock()
read = Mock()
write = Mock()
read.get_by_unique_key.return_value = es_model
write.get_by_unique_key.return_value = pg_model
es_model.invalidated.return_value = False
pg_model.invalidated.return_value = False
storage = PickStorage(read, write)
with testConfig(request=dummy_request):
model = storage.get_by_unique_key('accession', 'SNOFL000LSQ')
assert model is es_model
assert dummy_request.datastore == 'elasticsearch'
# Set model to None.
read.get_by_unique_key.return_value = None
with testConfig(request=dummy_request):
model = storage.get_by_unique_key('accession', 'SNOFL000LSQ')
# Make sure it looks in PG and doesn't force request.
assert model is pg_model
assert dummy_request.datastore == 'elasticsearch'
def test_pick_storage_get_by_uuid_does_not_force_database_when_model_is_none(dummy_request):
from pyramid.testing import testConfig
from ..esstorage import PickStorage
dummy_request.datastore = 'elasticsearch'
es_model = Mock()
pg_model = Mock()
read = Mock()
write = Mock()
read.get_by_uuid.return_value = es_model
write.get_by_uuid.return_value = pg_model
es_model.invalidated.return_value = False
pg_model.invalidated.return_value = False
storage = PickStorage(read, write)
with testConfig(request=dummy_request):
model = storage.get_by_uuid('123')
assert model is es_model
assert dummy_request.datastore == 'elasticsearch'
# Set model to None.
read.get_by_uuid.return_value = None
with testConfig(request=dummy_request):
model = storage.get_by_uuid('123')
# Make sure it looks in PG and doesn't force request.
assert model is pg_model
assert dummy_request.datastore == 'elasticsearch'
| 37.223022
| 105
| 0.717047
| 669
| 5,174
| 5.251121
| 0.130045
| 0.081981
| 0.030743
| 0.043837
| 0.836607
| 0.830629
| 0.822374
| 0.810988
| 0.799317
| 0.799317
| 0
| 0.007066
| 0.206803
| 5,174
| 138
| 106
| 37.492754
| 0.848928
| 0.084847
| 0
| 0.752212
| 0
| 0
| 0.056108
| 0
| 0
| 0
| 0
| 0
| 0.159292
| 1
| 0.044248
| false
| 0
| 0.106195
| 0
| 0.159292
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
a31fc3db1739ef35e217c60d7e66556f3571b829
| 99
|
py
|
Python
|
accepted/chennaipy/october/samplecode/basicpackage_all/bar.py
|
tasdikrahman/talks
|
bba44283e149ab27fb8cc2f6f8644adf9f2c8a11
|
[
"MIT"
] | 1
|
2017-04-16T06:59:02.000Z
|
2017-04-16T06:59:02.000Z
|
accepted/chennaipy/october/samplecode/basicpackage_all/bar.py
|
prodicus/talks
|
bba44283e149ab27fb8cc2f6f8644adf9f2c8a11
|
[
"MIT"
] | null | null | null |
accepted/chennaipy/october/samplecode/basicpackage_all/bar.py
|
prodicus/talks
|
bba44283e149ab27fb8cc2f6f8644adf9f2c8a11
|
[
"MIT"
] | 1
|
2019-10-26T00:28:07.000Z
|
2019-10-26T00:28:07.000Z
|
# basicpackage_all/bar.py
class Bar(object):
pass
print("inside 'basicpackage_all/bar.py'")
| 12.375
| 41
| 0.717172
| 14
| 99
| 4.928571
| 0.642857
| 0.434783
| 0.521739
| 0.57971
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141414
| 99
| 7
| 42
| 14.142857
| 0.811765
| 0.232323
| 0
| 0
| 0
| 0
| 0.438356
| 0.342466
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
6e6516f3a57464d921672bc6f4969d47d58d1d5f
| 392,821
|
py
|
Python
|
Program/scoring_matrices.py
|
hmc-cs-rkretsch/Secondary-Protein-Structure
|
f1436976d453fbf6f5dbc4716bef3c5ad35b8455
|
[
"MIT"
] | null | null | null |
Program/scoring_matrices.py
|
hmc-cs-rkretsch/Secondary-Protein-Structure
|
f1436976d453fbf6f5dbc4716bef3c5ad35b8455
|
[
"MIT"
] | null | null | null |
Program/scoring_matrices.py
|
hmc-cs-rkretsch/Secondary-Protein-Structure
|
f1436976d453fbf6f5dbc4716bef3c5ad35b8455
|
[
"MIT"
] | null | null | null |
#a way to represent amino acids as integers and the reverse dictionary
amino_dic={'A':3, 'C':2, 'D':5, 'E':6, 'F':-6, 'G':4, 'H':-3, 'I':-9, 'K':8, 'L':-7, 'M':-8, 'N':-2, 'P':0, 'Q':7, 'R':9, 'S':-1, 'T':1, 'V':-10, 'W':-5, 'Y':-4}
reverse_amino_dic={3:'A', 2:'C', 5:'D', 'E':6, 'F':-6, 'G':4, 'H':-3, 'I':-9, 'K':8, 'L':-7, 'M':-8, 'N':-2, 'P':0, 'Q':7, 'R':9, 'S':-1, 'T':1, 'V':-10, 'W':-5, 'Y':-4}
#simply the secondary structure representation to 3 structures
sec_struct_dic = {'H':1, 'G':1,'E':-1, 'B':-1, 'I':0, 'T':0, 'S':0, ' ':0}
#simply a list of the amino acids
amino_acid_list = ['A', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y']
new_seq = 'ASAAVSVSPATGLADGATVTVSASGFATSTSATALQAILADGRGANVAEFHDFSLSGGEGTTSVVVRRSFTGYVMPDGPEVGAVDDTAPGGEIVVGGNTGEYGNAAISFGGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIAEPPVAPGLSFDFYWQTPRAESIVREFVQEAVRKDIGLAAGLLRLHFHDFVQGDASVLLDGSATGPGEQQAPPNLTLRPSAFKAVNDIRDRLERERGAVVSSDILALAARDSVVVSGGPDYRVPLGRRDSRSFASTQDVLSDLPGPSSNVQSLLALLGRLGLDATDLVTISGGHTIGLAHSSFEDRLFPRPDPTISPTFLSRLKRTPAKGTDRRTVLDVRTPNVFDNKYYIDLVNREGLFVSDQDLFTNAITRPIVERFAQSQQDFFEQFGVSIGKMGQMRVRTSDQGEVRRNSVRNPGPGKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIMSKGEELFTGVVPILVELDGDVNGHRFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKAHFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGSKIGINGFGRIGRLVLRAALEMGAQVVAVNDPFIALEYMVYMFKYDSTHGMFKGEVKAEDGALVVDGKKITVFNEMKPENIPWSKAGAEYIVESTGVFTTIEKASAHFKGGAKKVIISAPSADAPMFVCGVNLEKYSKDMKVVSNASTTNCLAPVAKVLHENFEIVEGLMTTVHAVTATQKTVDGPSAKDWRGGRGAAQNIIPSSTGAAKAVGKVIPELDGKLTGMAFRVPTPNVSVVDLTVRLGKECSYDDIKAAMKAASEGPLQGVLGYTEDDVVSCDFTGDNRSSIFDAKAGIQLSKTFVKVVSWYDNEFGYSQRVIDLIKHMQKVDSASKIGINGFGRIGRLVLRAALEMGAQVVAVNDPFIALEYMVYMFKYDSTHGMFKGEVKAEDGALVVDGKKITVFNEMKPENIPWSKAGAEYIVESTGVFTTIEKASAHFKGGAKKVIISAPSADAPMFVCGVNLEKYSKDMKVVSNASTTNCLAPVAKVLHENFEIVEGLMTTVHAVTATQKTVDGPSAKDWRGGRGAAQNIIPSSTGAAKAVGKVIPELDGKLTGMAFRVPTPNVSVVDLTVRLGKECSYDDIKAAMKAASEGPLQGVLGYTEDDVVSCDFTGDNRSSIFDAKAGIQLSKTFVKVVSWYDNEFGYSQRVIDLIKHMQKVDSAKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHKRHDFFKSAPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSQNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSQNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITAALLESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVAGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTSVTVSAAKTTPPSVYPAAPGCGDTTGSSVTLGLVKGYFPEPVTVTWNSGGSSVHTFPALLQSGLYTMSSSVTVPSSTWPSTVTSVAHPASSTTVDKKLEAALTQSPVSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPNRFSSSGSGTDFTLRINTVEAEDVGVYYAQNLELPPTFGAGTKLELKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNGYTEATHKTSTSPIVKSFNAALLESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVAGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTSVTVSAAKTTPPSVYPAAPGCGDTTGSSVTLGLVKGYFPEPVTVTWNSGGSSVHTFPALLQSGLYTMSSSVTVPSSTWPSTVTSVAHPASSTTVDKKLEAALTQSPVSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPNRFSSSGSGTDFTLRINTVEAEDVGVYYAQNLELPPTFGAGTKLELKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNGYTEATHKTSTSPIVKSFNDGLRPLFEKKSLEDKTERELLESYIIVEGSDAEIGMSPWQVMLFRKSPQELLGASLISDRWVLTAAHLLYPPWDKNFTENDLLVRIGKHSRTRYERNIEKISMLEKIYIHPRYNWRENLDRDIALMKLKKPVAFSDYIHPVLPDRETAASLLQAGYKGRVTGWGNLKEGQPSVLQVVNLPIVERPVKDSTRIRITDNMFAGYKPDEGKRGDAEGDSGGPFVMKSPFNNRWYQMGIVSWGEGDRDGKYGFYTHVFRLKKWIQKVIDQDFEEIPEELMNKWNYGVFFVNFYNKGQQEPSKTMNNALETLRIIDEDTSIYDVINIDDHYLVKKDSEDKKLAPFITLGEKLYVLATSENTVDIAAKYALPLVFKWDDINEERLKLLSFYNASASKYNKNIDLVRHQLMLHVNVNEAETVAKEELKLYIENYVACTQPSNFNGSIDSIIQSNVTGSYKDCLSYVANLAGKFDNTVDFLLCFESMQDQNKKKSVMIDLNNQVIKFRQDNNLIMNKWNYGVFFVNFYNKGQQEPSKTMNNALETLRIIDEDTSIYDVINIDDHYLVKKDSEDKKLAPFITLGEKLYVLATSENTVDIAAKYALPLVFKWDDINEERLKLLSFYNASASKYNKNIDLVRHQLMLHVNVNEAETVAKEELKLYIENYVACTQPSNFNGSIDSIIQSNVTGSYKDCLSYVANLAGKFDNTVDFLLCFESMQDQNKKKSVMIDLNNQVIKFRQDNNLINVIKEFRFKVREGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVQKKTGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFRFKVREGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVQKKTGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFRFKVREGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVQKKTGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFRFKVREGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVQKKTGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLASKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFYGVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITASKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFYGVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLYAGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECDGTSDTTAARYAYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFIVTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHVYIVADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLYQSALSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFIVTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHVYIVADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLYQSALSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFIVTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHVYIVADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLYQSALSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITAPAFSVSPASGLSDGQSVSVSVSGAAAGETYYIAQAPVGGQDANPATATSFTTDASGAASFSFVVRKSYTGSTPEGTPVGSVDATAANLGAGNSGLDLGHVALTFGAPAFSVSPASGLSDGQSVSVSVSGAAAGETYYIAQAPVGGQDANPATATSFTTDASGAASFSFVVRKSYTGSTPEGTPVGSVDATAANLGAGNSGLDLGHVALTFGAAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYDVGQAWVDTGVLANPADFSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNAAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYDVGQAWVDTGVLANPADFSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSGNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSCQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSGNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSCQSALSKDPNEKRDHMVLLEFVTAAGIMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLEFVTAAGMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLEFVTAAGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLEFVTAAGIMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTSALSKDPNEKRDHMVLLEFVTAAGIMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTSALSKDPNEKRDHMVLLEFVTAAGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTSALSKDPNEKRDHMVLLEFVTAAGITGSRHHHHHHSRKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGLVPRGTGTGSRHHHHHHSRKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGLVPRGTGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSGNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSGNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSGNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLAPLPPHVPEHLVFDFDMYNPSNLSAGVQEAWAVLQESNVPDLVWTRCNGGHWIATRGQLIREAYEDYRHFSSECPFIPREAGEAYDFIPTSMDPPEQRQFRALANQVVGMPVVDKLENRIQELACSLIESLRPQGQCNFTEDYAEPFPIRIFMLLAGLPEEDIPHLKYLTDQMTRPDGSMTFAEAKEALYDYLIPIIEQRRQKPGTDAISIVANGQVNGRPITSDEAKRMCGLLLVGGLDTVVNFLSFSMEFLAKSPEHRQELIERPERIPAACEELLRRFSLVADGRILTSDYEFHGVQLKKGDQILLPQMLSGLDERENACPMHVDFSRQKVSHTTFGHGSHLCLGQHLARREIIVTLKEWLTRIPDFSIAPGAQIQHKSGIVSGVQALPLVWDPATTKAVPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESQPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESQHPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESQPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESQPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESQFHPPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESHPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESHPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESHPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESHPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESHPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESPSALTQPPSASGSLGQSVTISTGTSSDVGGYNYVSWYQQHAGKAPKVIIYEVNKRPSGVPDRFSGSKSGNTASLTVSGLQAEDEADYYSSYEGSDNFVFGTGTKVTVLGQPKANPTVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADGSPVKAGVETTKPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPTESQHGGVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAGGVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMTKWNYGVFFLNFYHVGQQEPSLTMSNALETLRIIDEDTSIYDVVAFSEHHIDKSYNDETKLAPFVSLGKQIHVLATSPETVVKAAKYGMPLLFKWDDSQQKRIELLNHYQAAAAKFNVDIANVRHRLMLFVNVNDNPTQAKAELSIYLEDYLSYTQAETSIDEIINSNAAGNFDTCLHHVAEMAQGLNNKVDFLFCFESMKDQENKKSLMINFDKRVINYRKEHNLNAPYNGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECNGTSDTTAARYDYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFAPYNGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECNGTSDTTAARYDYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFAPYNGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECNGTSDTTAARYDYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFNGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECDGTSDTTAARYDYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFNGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECDGTSDTTAARYDYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECDGTSDTTAARYAYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFGNPFEGVQLWANNYYRSEVHTLAIPQITDPALRAAASAVAEVPSFQWLDRNVTVDTLLVQTLSEIREANQAGANPQYAAQIVVYDLPDRDAAAASNGEWAIANNGVNNYKAYINRIREILISFSDVRTILVIEPDSLANMVTNMNVPKSGAASTYRELTIYALKQLDLPHVAMYMDAGHAGWLGWPANIQPAAELFAKIYEDAGKPRAVRGLATNVANYNAWSVSSPPPYTSPNPNYDEKHYIEAFRPLLEARGFPAQFIVDQGRSGKQPTGQKEWGHWNAIGTGFGMRPTANTGHQYVDAFVWVKPGGECDGTSDTTAARYAYHGLEDALKPAPEAGQWFNEYFIQLLRNANPPFSTQSYKDAMGPLVREMGSVSATEDDFKTVLNRNPLESRTAQLLAALDKVGLISPEGAIYTGDDLMPVMNRLYGFNDFKTVMKAKAVNDANQVNGAYPDRDLIKNFTDVRNSYSTQSYKDAMGPLVREMGSVSATEDDFKTVLNRNPLESRTAQLLAALDKVGLISPEGAIYTGDDLMPVMNRLYGFNDFKTVMKAKAVNDANQVNGAYPDRDLIKNFTDVRNSYNSSTQSYKDAMGPLVREMGSVSATEDDFKTVLNRNPLESRTAQLLAALDKVGLISPEGAIYTGDDLMPVMNRLYGFNDFKTVMKAKAVNDANQVNGAYPDRDLIKNFTDVRNSYSSTQSYKDAMGPLVREMGSVSATEDDFKTVLNRNPLESRTAQLLAALDKVGLISPEGAIYTGDDLMPVMNRLYGFNDFKTVMKAKAVNDANQVNGAYPDRDLIKNFTDVRNSYMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGNSSTQSYKDAMGPLVREMGSVSATEDDFKTVLNRNPLESRTAQLLAALDKVGLISPEGAIYTGDDLMPVMNRLYGFNDFKTVMKAKAVNDANQVNGAYPDRDLIKNFTDVRNSTQSYKDAMGPLVREMGSVSATEDDFKTVLNRNPLESRTAQLLAALDKVGLISPEGAIYTGDDLMPVMNRLYGFNDFKTVMKAKAVNDANQVNGAYPDRDLIKNFTDVRNSYSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSCQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSCQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNCNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNCNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSCQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLTYGVQCFSRYPDHMKQHDFFKSAMPEGYVQEATISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLTYGVQCFSRYPDHMKQHDFFKSAMPEGYVQEATISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQEATISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLGGGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDELYSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVLAPLPPHVPEHLVFDFDMYNPSNLSAGVQEAWAVLQESNVPDLVWTRCNGGHWIATRGQLIREAYEDYRHFSSECPFIPREAGEAYDFIPTSMDPPEQRQFRALANQVVGMPVVDKLENRIQELACSLIESLRPQGQCNFTEDYAEPFPIRIFMLLAGLPEEDIPHLKYLTDQMTRPDGSMTFAEAKEALYDYLIPIIEQRRQKPGTDAISIVANGQVNGRPITSDEAKRMCGLLLVGGLDTVVNFLSFSMEFLAKSPEHRQELIERPERIPAACEELLRRFSLVADGRILTSDYEFHGVQLKKGDQILLPQMLSGLDERENACPMHVDFSRQKVSHTTFGHGSHLCLGQHLARREIIVTLKEWLTRIPDFSIAPGAQIQHKSGIVSGVQALPLVWDPATTKAVLAPLPPHVPEHLVFDFDMYNPSNLSAGVQEAWAVLQESNVPDLVWTRCNGGHWIATRGQLIREAYEDYRHFSSECPFIPREAGEAYDFIPTSMDPPEQRQFRALANQVVGMPVVDKLENRIQELACSLIESLRPQGQCNFTEDYAEPFPIRIFMLLAGLPEEDIPHLKYLTDQMTRPDGSMTFAEAKEALYDYLIPIIEQRRQKPGTDAISIVANGQVNGRPITSDEAKRMCGLLLVGGLDTVVNFLSFSMEFLAKSPEHRQELIERPERIPAACEELLRRFSLVADGRILTSDYEFHGVQLKKGDQILLPQMLSGLDERENACPMHVDFSRQKVSHTTFGHGSHLCLGQHLARREIIVTLKEWLTRIPDFSIAPGAQIQHKSGIVSGVQALPLVWDPATTKAVKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRPDHMKQHDFFKSAMPEGVQERTIFFKDDGNKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLENNSHNVIMADKQKNGIKVNFKIRHNIEDGSVQLADHQQNTPIGDGPVLLPDNHLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKIGINGFGRIGRLVLRAALEMGAQVVAVNDPFIALEYMVYMFKYDSTHGMFKGEVKAEDGALVVDGKKITVFNEMKPENIPWSKAGAEYIVESTGVFTTIEKASAHFKGGAKKVIISAPSADAPMFVCGVNLEKYSKDMKVVSNASCTTNCLAPVAKVLHENFEIVEGLMTTVHAVTATQKTVDGPSAKDWRGGRGAAQNIIPSSTGAAKAVGKVIPELDGKLTGMAFRVPTPNVSVVDLTVRLGKECSYDDIKAAMKAASEGPLQGVLGYTEDDVVSCDFTGDNRSSIFDAKAGIQLSKTFVKVVSWYDNEFGYSQRVIDLIKHMQKVDSASKIGINGFGRIGRLVLRAALEMGAQVVAVNDPFIALEYMVYMFKYDSTHGMFKGEVKAEDGALVVDGKKITVFNEMKPENIPWSKAGAEYIVESTGVFTTIEKASAHFKGGAKKVIISAPSADAPMFVCGVNLEKYSKDMKVVSNASCTTNCLAPVAKVLHENFEIVEGLMTTVHAVTATQKTVDGPSAKDWRGGRGAAQNIIPSSTGAAKAVGKVIPELDGKLTGMAFRVPTPNVSVVDLTVRLGKECSYDDIKAAMKAASEGPLQGVLGYTEDDVVSCDFTGDNRSSIFDAKAGIQLSKTFVKVVSWYDNEFGYSQRVIDLIKHMQKVDSAEVKLLESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVAGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSSAKTTPPSVYPAAPGCGDTTGSSVTLGLVKGYFPEPVTVTWNSGGSSVHTFPALLQSGLYTMSSSVTVPSSTWPSTVTSVAHPASSTTVDKKLEDIVMTQAAFSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPNRFSSSGSGTDFTLRISRVEAEDVGVYYAQNLELPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNGYTEATHKTSTSPIVKSFEVKLLESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVAGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSSAKTTPPSVYPAAPGCGDTTGSSVTLGLVKGYFPEPVTVTWNSGGSSVHTFPALLQSGLYTMSSSVTVPSSTWPSTVTSVAHPASSTTVDKKLEDIVMTQAAFSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPNRFSSSGSGTDFTLRISRVEAEDVGVYYAQNLELPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNGYTEATHKTSTSPIVKSFAALLESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVAGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSAAKTTPPSVYPAAPGCGDTTGSSVTLGLVKGYFPESVTVTWNSGGSSVHTFPALLQSGLYTMSSSVTVPSSTWPSTVTSVAHPASGTTVDKKLEAALTQSPVSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPNRFSSSGSGTDFTLRINTVEAEDVGVYYAQNLELPPTFGAGTKLELKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNGYTEATHKTSTSPIVKSFAALLESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVAGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSAAKTTPPSVYPAAPGCGDTTGSSVTLGLVKGYFPESVTVTWNSGGSSVHTFPALLQSGLYTMSSSVTVPSSTWPSTVTSVAHPASGTTVDKKLEAALTQSPVSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPNRFSSSGSGTDFTLRINTVEAEDVGVYYAQNLELPPTFGAGTKLELKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNGYTEATHKTSTSPIVKSFIHMNSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPNTEMLYPADGGLRGYSQMALNVDGGGYLSCSFETTYRSKKTVENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPIHMNSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPNTEMLYPADGGLRGYSQMALNVDGGGYLSCSFETTYRSKKTVENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPTPTPTPTPTPTPTPTPTPTPTPTPTPTPTPTPTPTPTPTPKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLFVTAAGITHSKHGLKEEMTMKYHMEGCVNGHKFVITGEGIGYPFKGKQTINLCVIEGGPLPFSEDILSAGFDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSALHGLKEEMTMKYHMEGVNGHKFVITGEGIGYPFKGKQTINLVIEGGPLPFSEDILSAGDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSALHGLKEEMTMKYHMEGVNGHKFVITGEGIGYPFKGKQTINLVIEGGPLPFSEDILSAGDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSAATITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNDDFGLNNIDDVRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFDHYERKTSVYYGILEFDLNPDTLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQVYNNPRSRWEKFSQEDYWLVDLARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLFSTRWDFATITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNDDFGLNNIDDVRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFDHYERKTSVYYGILEFDLNPDTLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQVYNNPRSRWEKFSQEDYWLVDLARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLFSTRWDFATITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNDDFGLNNIDDVRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFDHYERKTSVYYGILEFDLNPDTLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQVYNNPRSRWEKFSQEDYWLVDLARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLFSTRWDFRKTTRKTTRKTTFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPGTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVGKCYKQYEAAVGRYCDAAPSKLGHNHHHGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPGTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVGKCYKQYEAAVGRYCDAAPSKLGHNSLLTETMPFKTTIEGTVNGHCFKCIGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKVGRWEPGTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNVSVITSEMKMELRMEGAVNGHKFVITGKGSGQPFEGIQNMDLTVIEGGPLPFAFDILTTVFNRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVYEIRFDGVNFPANGPVMQRKTVKWEPSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHRIEITSHDKDYNKVKLYEHAKAHSGLPRLAVSVITSEMKMELRMEGAVNGHKFVITGKGSGQPFEGIQNMDLTVIEGGPLPFAFDILTTVFNRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVYEIRFDGVNFPANGPVMQRKTVKWEPSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHRIEITSHDKDYNKVKLYEHAKAHSGLPRLAKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLGSGGQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLGSGGQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLASAVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFASGVQCFSRYPDHMKQHDFFKSAMPEGYVQEATISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSGNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGLLKESMRIKMYMEGTVNGHYFKCEGEGDGNPFAGTQSMRIHVTEGAPLPFAFDILAPCCSRTFVHHTAEIPDFFKQSFPEGFTWERTTTYEDGGILTAHQDTSLEGNCLIYKVKVHGTNFPADGPVMKNKSGGWEPSTEVVYPENGVLCGRNVMALKVGDRHLICHHYTSYRSKKAVRALTMPGFHFTDIRLQMLRKKKDEYFELYEASVARYSDLPEKGLLKESMRIKMYMEGTVNGHYFKCEGEGDGNPFAGTQSMRIHVTEGAPLPFAFDILAPCCSRTFVHHTAEIPDFFKQSFPEGFTWERTTTYEDGGILTAHQDTSLEGNCLIYKVKVHGTNFPADGPVMKNKSGGWEPSTEVVYPENGVLCGRNVMALKVGDRHLICHHYTSYRSKKAVRALTMPGFHFTDIRLQMLRKKKDEYFELYEASVARYSDLPEKGLLKESMRIKMYMEGTVNGHYFKCEGEGDGNPFAGTQSMRIHVTEGAPLPFAFDILAPCCSRTFVHHTAEIPDFFKQSFPEGFTWERTTTYEDGGILTAHQDTSLEGNCLIYKVKVHGTNFPADGPVMKNKSGGWEPSTEVVYPENGVLCGRNVMALKVGDRHLICHHYTSYRSKKAVRALTMPGFHFTDIRLQMLRKKKDEYFELYEASVARYSDLPEKGLLKESMRIKMYMEGTVNGHYFKCEGEGDGNPFAGTQSMRIHVTEGAPLPFAFDILAPCCSRTFVHHTAEIPDFFKQSFPEGFTWERTTTYEDGGILTAHQDTSLEGNCLIYKVKVHGTNFPADGPVMKNKSGGWEPSTEVVYPENGVLCGRNVMALKVGDRHLICHHYTSYRSKKAVRALTMPGFHFTDIRLQMLRKKKDEYFELYEASVARYSDLPEKSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSMVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSMVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSMVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSMVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNKFIGDDMKMTYHMDGCVNGHYFTVKGEGNGKPYEGTQTSTFKVTMANGGPLAFSFDILSTVFNRCFTAYPTSMPDYFKQAFPDGMSYERTFTYEDGGVATASWEISLKGNCFEHKSTFHGVNFPADGPVMAKKTTGWDPSFEKMTVCDGILKGDVTAFLMLQGGGNYRCQFHTSYKTKKPVTMPPNHVVEHRIARTDLDKGGNSVQLTEHAVAHITNKFIGDDMKMTYHMDGCVNGHYFTVKGEGNGKPYEGTQTSTFKVTMANGGPLAFSFDILSTVFNRCFTAYPTSMPDYFKQAFPDGMSYERTFTYEDGGVATASWEISLKGNCFEHKSTFHGVNFPADGPVMAKKTTGWDPSFEKMTVCDGILKGDVTAFLMLQGGGNYRCQFHTSYKTKKPVTMPPNHVVETRIARTDLDKGGNSVQLTEHAVAHITIGDDMKMTYHMDGCVNGHYFTVKGEGNGKPYEGTQTSTFKVTMANGGPLAFSFDILSTVFNRCFTAYPTSMPDYFKQAFGMSYERTFTYEDGGVATASWEISLKGNCFEHKSTFHGVNFPADGPVMAKKTTGWDPSFQKMTVCDGILKGDVTAFLMLQGGGNYRCQFHTSYKTKKPVTMPPNHVVEHRIARTDLDKGGNSVQLTEHAVAHITHGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPATEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPATEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNHGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPATEIVYEVDGVLRGQVLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPATEIVYEVDGVLRGQVLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNHGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPSTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPSTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNHGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPSTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPSTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNHGSASFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPSTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNFLKKTMPFKTTIEGTVNGHYFKCTGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKAGRWEPSTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHNKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLKTSALSKDPNEKRDHMVLLERVTAAGITHGMDELYKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLKTSALSKDPNEKRDHMVLLERVTAAGITHGMDELYKSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGDLTLKFISTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLERVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGDLTLKFISTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLERVTAAGIMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKCDAFVGTWKLVSSENFDDYMKEVGVGFATRKVAGMAKPNMIISVNGDLVTIRSESTFKNTEISFKLGVEFDEITADDRKVKSIITLDGGALVQVQKWDGKSTTIKRKRDGDKLVVECVMKGVTSTRVYERACDAFVGTWKLVSSENFDDYMKEVGVGFATRKVAGMAKPNMIISVNGDLVTIRSESTFKNTEISFKLGVEFDEITADDRKVKSIITLDGGALVQVQKWDGKSTTIKRKRDGDKLVVECVMKGVTSTRVYERAGSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLTYGVQCFSRYPDHMKQHDFFKSAMPEGYVQEMTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQEMTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQEKTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQEATISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYRQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVGGAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDGGAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDGGAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDGGAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDMYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNMYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNMYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNMYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNMYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAFIKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPLDNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKLDNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKLDNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKPDNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKPNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKPDNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKPLDNNLSVSVYMKGNVNNHEFEYDGIGGGDPNSGQFSLKTKLRGGKPLPFSYDIITMGFFRAFTKYPEGIADYFKGSFPEAFQWNRRIEFEDGGVINMSSDITYKDKVLHGDVWALGVNFPPNGPVMKNEIVMEEPAEETLTAKNGVLVGFCPKAYLLKDGSYYYGHMTTFYRSKKSGQPLPGFHFIKHRLVKTKVEPGFKMVEQAEYATAHVCDLPKPAAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVAQWARVDTGVWAYNPADNSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFAAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVAQWARVDTGVWAYNPADNSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNHHAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVYQRAAVDTGVHASNPADLSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVYQRAAVDTGVHASNPADLSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNHAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVYQRAAVDTGVHASNPADLSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVYQRAAVDTGVHASNPADLSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVYQRAAVDTGVHASNPADLSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVYQRAAVDTGVHASNPADLSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVAQSAWVDTGVYASNPADISSVTADANGSASTSLTVRRSFEGFLWDGTRWGTVDCTTAACHVTLRDALSNGPEGVAISFAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYWVAQSAWVDTGVYASNPADISSVTADANGSASTSLTVRRSFEGFLWDGTRWGTVDCTTAACHVTLRDALSNGPEGVAISFMTEYKLVVVGAGGVGKSALTIQLIQNHFVDECDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHMTEYKLVVVGAGGVGKSALTIQLIQNHFVDECDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHMTEYKLVVVGAGGVGKSALTIQLIQNHFVDECDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHMTEYKLVVVGAGGVGKSALTIQLIQNHFVDECDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHMTEYKLVVVGAGGVGKSALTIQLIQNHFVDECDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHMTEYKLVVVGAGGVGKSALTIQLIQNHFVDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHTTFKIESRIHGNLNGEKFELVGGGVGEEGRLEIEMKTKDKPLAFSPFLLSHCMFYHFASFPKGTKNIYLHAATNGGYTNTRKEIYEDGGILEVNFRYTYEFNKIIGDVECIGHGFPSQSPIFKDTIVKSCPTVDLMLPMSGNIIASSYARAFQLKDGSFYTAEVKNNIDFKNPIHESFSKSGPMFTHRRVEETHTKENLAMVEYQQVFNSAPRDTTFKIESRIHGNLNGEKFELVGGGVGEEGRLEIEMKTKDKPLAFSPFLLSHCMFYHFASFPKGTKNIYLHAATNGGYTNTRKEIYEDGGILEVNFRYTYEFNKIIGDVECIGHGFPSQSPIFKDTIVKSCPTVDLMLPMSGNIIASSYARAFQLKDGSFYTAEVKNNIDFKNPIHESFSKSGPMFTHRRVEETHTKENLAMVEYQQVFNSAPRTTFKIESRIHGNLNGEKFELVGGGVGEEGRLEIEMKTKDKPLAFSPFLLSTCMFYHFASFPKGTKNIYLHAATNGGYTNTRKEIYEDGGILEVNFRYTYEFNKIIGDVECIGHGFPSQSPIFKDTIVKSCPTVDLMLPMSGNIIASSYARAFQLKDGSFYTAEVKNNIDFKNPIHESFSKSGPMFTHRRVEETHTKENLAMVEYQQVFNSAPRDTTFKIESRIHGNLNGEKFELVGGGVGEEGRLEIEMKTKDKPLAFSPFLLSTCMFYHFASFPKGTKNIYLHAATNGGYTNTRKEIYEDGGILEVNFRYTYEFNKIIGDVECIGHGFPSQSPIFKDTIVKSCPTVDLMLPMSGNIIASSYARAFQLKDGSFYTAEVKNNIDFKNPIHESFSKSGPMFTHRRVEETHTKENLAMVEYQQVFNSAPRDTTFKIESRIHGNLNGEKFELVGGGVGEEGRLEIEMKTKDKPLAFSPFLLSTCMFYHFASFPKGTKNIYLHAATNGGYTNTRKEIYEDGGILEVNFRYTYEFNKIIGDVECIGHGFPSQSPIFKDTIVKSCPTVDLMLPMSGNIIASSYARAFQLKDGSFYTAEVKNNIDFKNPIHESFSKSGPMFTHRRVEETHTKENLAMVEYQQVFNSAPRTTFKIESRIHGNLNGEKFELVGGGVGEEGRLEIEMKTKDKPLAFSPFLLSTCMFYHFASFPKGTKNIYLHAATNGGYTNTRKEIYEDGGILEVNFRYTYEFNKIIGDVECIGHGFPSQSPIFKDTIVKSCPTVDLMLPMSGNIIASSYARAFQLKDGSFYTAEVKNNIDFKNPIHESFSKSGPMFTHRRVEETHTKENLAMVEYQQVFNSAPRDVSVITSEMKIEVRMEGAVNGHKFVITGKGSGQPFEGIQNVDLTVIEGGPLPFAFDILTTAFNRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVNEIRFDGVNFPANGPVMQRKTVKWESSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHLMEITSHDKDYNKVKLYEHAKAHSGLPRLAVSVITSEMKIEVRMEGAVNGHKFVITGKGSGQPFEGIQNVDLTVIEGGPLPFAFDILTTAFNRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVNEIRFDGVNFPANGPVMQRKTVKWESSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHLMEITSHDKDYNKVKLYEHAKAHSGLPRLAKVSVITSEMKIEVRMEGAVNGHKFVITGKGSGQPFEGIQNVDLTVIEGGPLPFAFDILTTAFNRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVNEIRFDGVNFPANGPVMQRKTVKWESSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHLMEITSHDKDYNKVKLYEHAKAHSGLPRLAVSVITSEMKIEVRMEGAVNGHKFVITGKGSGQPFEGIQNVDLTVIEGGPLPFAFDILTTAFNRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVNEIRFDGVNFPANGPVMQRKTVKWESSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHLMEITSHDKDYNKVKLYEHAKAHSGLPRLAKLPDLKIEKLDEGVYVHTSFEEVNGWGVVPKHGLVVLVNAEAYLIDTPFTAKDTEKLVTWFVERGYKIKGSISSHFHSDSTGGIEWLNSRSIPTYASELTNELLKKDGKVQATNSFSGVNYWLVKNKIEVFYPGPGHTPDNVVVWLPERKILFGGCFIKPYGLGNLGDANIEAWPKSAKLLKSKYGKAKLVVPSHSEVGDASLLKLTLEQAVKGLNELPDLKIEKLDEGVYVHTSFEEVNGWGVVPKHGLVVLVNAEAYLIDTPFTAKDTEKLVTWFVERGYKIKGSISSHFHSDSTGGIEWLNSRSIPTYASELTNELLKKDGKVQATNSFSGVNYWLVKNKIEVFYPGPGHTPDNVVVWLPERKILFGGCFIKPYGLGNLGDANIEAWPKSAKLLKSKYGKAKLVVPSHSEVGDASLLKLTLEQAVKGLNESKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNNVYIMANGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSDNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSNNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSNNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSDNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIMTEYKLVVVGAGGVGKSALTIQLIQNHFVDECDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKSDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHHWGYGKHNGPEHWHKDFPIAKGERQSPVDIDTHTAKYDPSLKPLSVSYDQATSLRILNNGHAFNVEFDDSQDKAVLKGGPLDGTYRLIQFHFHWGSLDGQGSEHTVDKKKYAAELHLVHWNTKYGDFGKAVQQPDGLAVLGIFLKVGSAKPGLQKVVDVLDSIKTKGKSADFTNFDPRGLLPESLDYWTYPGSLTTPPLLECVTWIVLKEPISVSSEQVLKFRKLNFNGEGEPEELMVDNWRPAQPLKNRQIKASFKSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSGNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDELYKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDELYKAAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYDVGQAWVDTGVLANPADFSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNAAPTATVTPSSGLSDGTVVKVAGAGLQAGTAYDVGQAWVDTGVLANPADFSSVTADANGSASTSLTVRRSFEGFLFDGTRWGTVDTTAAQVGLSDAAGNGPEGVAISFNKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITDVVMTQTPLTLSVTIGQPASISRSSQSLLYINGKTHLNWLLQRPGQSPKRLIYLVSKLDSGVPDRFSGSGSGTDFTLKISRVEAEDLGIYFLQSTHFPLTFGAGTKLELKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPRDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEQVQLQQSGPVLVKPGTSLKMSKASGYTFTAYYMNWMKQSHGKRLEWIAVINPYNGFTTYNQKFKGKATLTVDKSSNTAYMDLNSLTSEDSAVYYVPYDYAADRVYWGHGTLVTVSTAKTTAPSVYPLAPVGGTTGSSVTLGLVKGYFPEPVTLTWNSGSLSSGVHTFPALLQSGLYTLSSSVTVTSNTWPSQTITNVAHPASSTKVDKKIEPRGDVVMTQTPLTLSVTIGQPASISRSSQSLLYINGKTHLNWLLQRPGQSPKRLIYLVSKLDSGVPDRFSGSGSGTDFTLKISRVEAEDLGIYFLQSTHFPLTFGAGTKLELKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPRDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEQVQLQQSGPVLVKPGTSLKMSKASGYTFTAYYMNWMKQSHGKRLEWIAVINPYNGFTTYNQKFKGKATLTVDKSSNTAYMDLNSLTSEDSAVYYVPYDYAADRVYWGHGTLVTVSTAKTTAPSVYPLAPVGGTTGSSVTLGLVKGYFPEPVTLTWNSGSLSSGVHTFPALLQSGLYTLSSSVTVTSNTWPSQTITNVAHPASSTKVDKKIEPRGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLGGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITASKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLGAGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVVGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILGGPMFAFRRVEELHSNTELGIVEYQHAFKTPAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVVTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILQNGGPMFAFRRVEELHSNTELGIVEYQHAFKTPIPAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVVGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILQNGGPMFAFRRVEELHSNTELGIVEYQHAFKTPIPAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVVGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILQNGGPMFAFRRVEELHSNTELGIVEYQHAFKTPIPAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHSFSYRYEAGRVIGDFKVVGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILQNGGPMFAFRRVEELHSNTELGIVEYQHAFKTPIPAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVVGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILQNGGPMFAFRRVEELHSNTELGIVEYQHAFKTPIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIASKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPLPAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPPAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPDAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPDAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPLPAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPPAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPDAMEIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVMGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNDLDGSFTRTFSLRDGGYYSSVVDSHMHFKSAIHPSILQNGGPMFAFRRVEEDHSNTELGIVEYQHAFKTPDPMSLIKPEMKIKLLMEGNVNGHQFVIEGDGKGHPFEGKQSMDLVVKEGAPLPFAYDILTTAFNRVFAKYPDHIPDYFKQSFPKGFSWERSLMFEDGGVCIATNDITLKGDTFFNKVRFDGVNFPPNGPVMQKKTLKWEASTEKMYLRDGVLTGDITMALLLKGDVHYRCDFRTTYKSRQEGVKLPGYHFVDHCISILRHDKDYNEVKLYEHAVAHSGLPMSLIKPEMKIKLLMEGNVNGHQFVIEGDGKGHPFEGKQSMDLVVKEGAPLPFAYDILTTAFNRVFAKYPDHIPDYFKQSFPKGFSWERSLMFEDGGVCIATNDITLKGDTFFNKVRFDGVNFPPNGPVMQKKTLKWEASTEKMYLRDGVLTGDITMALLLKGDVHYRCDFRTTYKSRQEGVKLPGYHFVDHCISILRHDKDYNEVKLYEHAVAHSGLPMSLIKPEMKIKLLMEGNVNGHQFVIEGDGKGHPFEGKQSMDLVVKEGAPLPFAYDILTTANRVFAKYPDHIPDYFKQSFPKGFSWERSLMFEDGGVCIATNDITLKGDTFFNKVRFDGVNFPPNGPVMQKKTLKWEASTEKMYLRDGVLTGDITMALLLKGDVHYRCDFRTTYKSRQEGVKLPGYHFVDHCISILRHDKDYNEVKLYEHAVAHSGLPMSLIKPEMKIKLLMEGNVNGHQFVIEGDGKGHPFEGKQSMDLVVKEGAPLPFAYDILTTANRVFAKYPDHIPDYFKQSFPKGFSWERSLMFEDGGVCIATNDITLKGDTFFNKVRFDGVNFPPNGPVMQKKTLKWEASTEKMYLRDGVLTGDITMALLLKGDVHYRCDFRTTYKSRQEGVKLPGYHFVDHCISILRHDKDYNEVKLYEHAVAHSGLSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPRSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELEMRIGHGFDVHAFGGEGPIIIGGVRIPYEKGLLAHSDGDVALHALTDALLGAAALGDIGKLFPDTDPAFKGADSRELLREAWRRIQAKGYTLGNVDVTIIAQAPKMLPHIPQMRVFIAEDLGCHMDDVNVKATTTEKLGFTGRGEGIACEAVALLIKAAIIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILTPNFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTMFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKMRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYIVGIKLDITSHNEDYTIVELYERAEGRHSTGGMDELYNMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILTPNFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTMFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKMRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYIVGIKLDITSHNEDYTIVELYERAEGRHSTGGMDELYGIDPFTVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYMKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYMKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYMKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYMKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFLPFTVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDELYASKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLTFGVQCFSRYPDHMKQHDFFKSAMPEGYVQEATISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLYKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLAFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFHTAAGITEGAKLFEKEIPYITELEGDVEGMKFIIKGEGTGDATTGTIKAKYICTTGDLPVPWATILSSLVFCFAKYPRHIADFFKSTQPDGYSQDRIISFDNDGQYDVKAKVTYENGTLYNRVTVKGTGFKSNGNILGMRVLYHSPPHAVYILPDRKNGGMKIEYNKAFDVMGGGHQMARHAQFNKPLGAWEEDYPLYHHLTVWTSFGKDPDDDETDHLTIVEVIKAVDLETYRGVIKPDMKIKLKMEGNVNGHAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTTAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISMEEDSFIYEIHLKGENFPPNGPVMQKKTTGWDASTERMYVRDGVLKGDVKHKLLLEGGGHHRVDFKTIYRAKKAVKLPDYHFVDHRIEILNHDKDYNKVTVYESAVARNSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKHTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKHTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFHTAAGITQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVATITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFRKTTISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNISDNVRIKLYEGTVNNHHFCEAEGEGKPYEGTQENIKVTKGGPLPFSFDILTPNCSVAITKYTSGIPDYFKQSFPEGFTWERTTIYEDGAYLTTQQETKLDGNCLVYNIKILGCNFPPNGPVQKKTQGWEPCCERYTRDGVLCGQTLALKCADGNHLTCHLRTTYRSKKAAKALQPPFHFSDHRPEIVKVSENGTLFEQHESSVARYCQTCPSKLGHNSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPGSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPSAHGLTDDMTMHFRMEGCVDGHKFVIEGNGNGNPFKGKQFINLCVIEGGPLPFSEDILSAAFNRLFTEYPEGIVDYFKNSCPAGYTWHRSFRFEDGAVCICSADITVNVRENCIYHESTFYGVNFPADGPVMKKMTTNWEPSCEKIIPINSQKILKGDVSMYLLLKDGGRYRCQFDTIYKAKTEPKEMPDWHFIQHKLNREDRSDAKNQKWQLIEHAIASRSALPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPKDPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPDPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPSELLVNTKSGKVMGTRVPVLSSHISAFLGIPFAEPPVGNMRFRRPEPKKPWSGVWNASTYPNNQQYVDEQFPGFSGSEMWNPNREMSEDLYLNIWVPSPRPKSTTVMVWIYGGGFYSGSSTLDVYNGKYLAYTEEVVLVSLSYRVGAFGFLALHGSQEAPGNVGLLDQRMALQWVHDNIQFFGGDPKTVTIFGESAGGASVGMHILSPGSRDLFRRAILQSGSPNCPWASVSVAEGRRRAVELGRNLNNLNSDEELIHLREKKPQELIDVEWNVLPFDSIFRFSFVPVIDGEFFPTSLESMLNSGNFKKTQILLGVNKDEGSFFLLYGAPGFSKDSESKISREDFMSGVKLSVPHANDLGLDAVTLQYTDWMDDNNGIKNRDGLDDIVGDHNVIPLMHFVNKYTKFGNGTYLYFFNHRASNLVWPEWMGVIHGYEIEFVFGLPLVKELNYTAEEEALSRRIMHYWATFAKTGNPNEPHSQESKWPLFTTKEQKFIDLNTEPMKVHQRLRVQMVFWNQFLPKLLNATAMVSQETIKHVKDLIAENEIFVASKTYCPYSHAALNTLFEKLKVPRSKVLVLQLNDMKEGADIQAALYEINGQRTVPNIYINGKHIGGNDDLQELRETGELEELLEPILSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFIVTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHVYIVADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLYQSALSKDPNEKRDHMVLLEFVTAAGITHGMHELYKSGSGMVSQETIKHVKDLIAENEIFVASKTYCPYSHAALNTLFEKLKVPRSKVLVLQLNDMKEGADIQAALYEINGQRTVPNIYINGKHIGGNDDLQELRETGELEELLEPILQLVQSGAEVKKPGSSVKVSKASGGTFSNYAINWVRQAPGQGLEWMGNIEPYFGTANYAQKFQGRVTITADESTSTAYMELSSLRSEDTAVYYARYFMSYKHLSDYWGQGTLVTVSSASTKGPSVFPLAPSSKSGTAALGLVKDYFPEPVTVSWNSGALTSGVHTFPAVLQSSGLYSLSSVVTVPSSSLGTQTYINVNHKPSNTKVDKKVEPKALTQPASVSGSPGQSITISTGTSSDVGSNNYVSWYQQHPGKAPKLMIYGGSNRPSGVSNRFSGSKSGNTASLTISGLQAEDEADYYRSWDSNLSYSVFGGGTKLTVLGQPKAAPSVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADSSPVKAGVETTTPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPALTQPASVSGSPGQSITISTGTSSDVGSNNYVSWYQQHPGKAPKLMIYGGSNRPSGVSNRFSGSKSGNTASLTISGLQAEDEADYYRSWDSNLSYSVFGGGTKLTVLGQPKAAPSVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADSSPVKAGVETTTPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPQLVQSGAEVKKPGSSVKVSKASNYAINWVRQAPGQGLEWMGNIEPYFGTANYAQKFQGRVTITADESTSTAYMELSSLRSEDTAVYYARYFMSYKHLSDYWGQGTLVTVSSASTKGPSVFPLAPSSKSTSGGTAALGLVKDYFPEPVTVSWNSGALTSGVHTFPAVLQSSGLYSLSSVVTVPSSSLGTQTYINVNHKPSNTKVDKKVEPQLVQSGAEVKKPGSSVKVSKANYAINWVRQAPGQGLEWMGNIEPYFGTANYAQKFQGRVTITADESTSTAYMELSSLRSEDTAVYYARYFMSYKHLSDYWGQGTLVTVSSASTKGPSVFPLAPSSKSTSGGTAALGLVKDYFPEPVTVSWNSGALTSGVHTFPAVLQSSGLYSLSSVVTVPSSSLGTQTYINVNHKPSNTKVDKKVEPLTQPASVSGSPGQSITISTGTSSDVGSNNYVSWYQQHPGKAPKLMIYGGSNRPSGVSNRFSGSKSGNTASLTISGLQAEDEADYYRSWDSNLSYSVFGGGTKLTVLGQPKAAPSVTLFPPSSEELQANKATLVLISDFYPGAVTVAWKADSSPVKAGVETTTPSKQSNNKYAASSYLSLTPEQWKSHRSYSQVTHEGSTVEKTVAPGIDPFTVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITELYGIDPFTVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITGIDPFTVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITYDALSCKLAAISVGYLPSSGLQRLSVDLSKKYTEWHRSYLITLKKFSRRAFGKVDKAMRSSFPVMNYGTYLRTVGIDAAILEFLVANEKVQVVNLGCGSDLRMLPLLQMFPHLAYVDIDYNESVELKNSILRESEILRISLGLSKEDTAKSPFLIDQGRYKLAACDLNDITETTRLLDVCTKREIPTIVISECLLCYMHNNESQLLINTIMSKFSHGLWISYDPIGGSQPNDRFGAIMQSNLKESRNLEMPTLMTYNSKEKYASRWSAAPNVIVNDMWEIFNAQIPESERKRLRSLQFLDELEELKVMQTHYILMKAQWYDALSCKLAAISVGYLPSSGLQRLSVDLSKKYTEWHRSYLITLKKFSRRAFGKVDKAMRSSFPVMNYGTYLRTVGIDAAILEFLVANEKVQVVNLGCGSDLRMLPLLQMFPHLAYVDIDYNESVELKNSILRESEILRISLGLSKEDTAKSPFLIDQGRYKLAACDLNDITETTRLLDVCTKREIPTIVISECLLCYMHNNESQLLINTIMSKFSHGLWISYDPIGGSQPNDRFGAIMQSNLKESRNLEMPTLMTYNSKEKYASRWSAAPNVIVNDMWEIFNAQIPESERKRLRSLQFLDELEELKVMQTHYILMKAQWYDALSCKLAAISVGYLPSSGLQRLSVDLSKKYTEWHRSYLITLKKFSRRAFGKVDKAMRSSFPVMNYGTYLRTVGIDAAILEFLVANEKVQVVNLGCGSDLRMLPLLQMFPHLAYVDIDYNESVELKNSILRESEILRISLGLSKEDTAKSPFLIDQGRYKLAACDLNDITETTRLLDVCTKREIPTIVISECLLCYMHNNESQLLINTIMSKFSHGLWISYDPIGGSQPNDRFGAIMQSNLKESRNLEMPTLMTYNSKEKYASRWSAAPNVIVNDMWEIFNAQIPESERKRLRSLQFLDELEELKVMQTHYILMKAQWERIIQQTDYDALSCKLAAISVGYLPSSGLQRLSVDLSKKYTEWHRSYLITLKKFSRRAFGKVDKAMRSSFPVMNYGTYLRTVGIDAAILEFLVANEKVQVVNLGCGSDLRMLPLLQMFPHLAYVDIDYNESVELKNSILRESEILRISLGLSKEDTAKSPFLIDQGRYKLAACDLNDITETTRLLDVCTKREIPTIVISELLCYMHNNESQLLINTIMSKFSHGLWISYDPIGGSQPNDRFGAIMQSNLKESRNLEMPTLMTYNSKEKYASRWSAAPNVIVNDMWEIFNAQIPESERKRLRSLQFLDELEELKVMQTHYILMKAQWERIIQQTDYDALSCKLAAISVGYLPSSGLQRLSVDLSKKYTEWHRSYLITLKKFSRRAFGKVDKAMRSSFPVMNYGTYLRTVGIDAAILEFLVANEKVQVVNLGCGSDLRMLPLLQMFPHLAYVDIDYNESVELKNSILRESEILRISLGLSKEDTAKSPFLIDQGRYKLAACDLNDITETTRLLDVCTKREIPTIVISELLCYMHNNESQLLINTIMSKFSHGLWISYDPIGGSQPNDRFGAIMQSNLKESRNLEMPTLMTYNSKEKYASRWSAAPNVIVNDMWEIFNAQIPESERKRLRSLQFLDELEELKVMQTHYILMKAQWERIIQQTDYDALSCKLAAISVGYLPSSGLQRLSVDLSKKYTEWHRSYLITLKKFSRRAFGKVDKAMRSSFPVMNYGTYLRTVGIDAAILEFLVANEKVQVVNLGCGSDLRMLPLLQMFPHLAYVDIDYNESVELKNSILRESEILRISLGLSKEDTAKSPFLIDQGRYKLAACDLNDITETTRLLDVCTKREIPTIVISELLCYMHNNESQLLINTIMSKFSHGLWISYDPIGGSQPNDRFGAIMQSNLKESRNLEMPTLMTYNSKEKYASRWSAAPNVIVNDMWEIFNAQIPESERKRLRSLQFLDELEELKVMQTHYILMKAQWHGLKEEMTMKYHMEGCVNGHKFVITGEGIGYPFKGKQTINLCVIEGGPLPFSEDILSAGDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSALAHGLKEEMTMKYHMEGCVNGHKFVITGEGIGYPFKGKQTINLCVIEGGPLPFSEDILSAGDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSALAHGLKEEMTMKYHMEGCVNGHKFVITGEGIGYPFKGKQTINLCVIEGGPLPFSEDILSAGDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSALAHGLKEEMTMKYHMEGCVNGHKFVITGEGIGYPFKGKQTINLCVIEGGPLPFSEDILSAGDRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSALASKHGLTKEMTMKYRMEGCVDGHKFVITGEGIGYPFKGKQAINLCVVEGGPLPFAEDILSAAFNRVFTEYPQDIVDYFKNSCPAGYTWDRSFLFEDGAVCICNADITVSVEENCMYHESKFYGVNFPADGPVMKKMTDNWEPSCEKIIPVPKQGILKGDVSMYLLLKDGGRLRCQFDTVYKAKSVPRKMPDWHFIQHKLTREDRSDAKNQKWHLTEHAIASGSALPSKHGLTKEMTMKYRMEGCVDGHKFVITGEGIGYPFKGKQAINLCVVEGGPLPFAEDILSAAFNRVFTEYPQDIVDYFKNSCPAGYTWDRSFLFEDGAVCICNADITVSVEENCMYHESKFYGVNFPADGPVMKKMTDNWEPSCEKIIPVPKQGILKGDVSMYLLLKDGGRLRCQFDTVYKAKSVPRKMPDWHFIQHKLTREDRSDAKNQKWHLTEHAIASGSALPLFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGILFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQCALSKDPNEKRDHMVLLEFVTAAGIGVIKPDMKIKLKMEGNVNGHAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTNAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISMEEDSFIYEIHLKGENFPPNGPVMQKKTLKWEPSTEILYVRDGVLVGDIKHKLLLEGGGHHRVDFKTIYRAKKAVKLPDYHFVDHRIEILNHDKDYNKVTVYESAVARYVIKPDMKIKLKMEGNVNGHAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTNAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISMEEDSFIYEIHLKGENFPPNGPVMQKKTLKWEPSTEILYVRDGVLVGDIKHKLLLEGGGHHRVDFKTIYRAKKAVKLPDYHFVDHRIEILNHDKDYNKVTVYESAVARYGVIKPDMKIKLKMEGNVNGHAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTNAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISMEEDSFIYEIHLKGENFPPNGPVMQKKTLKWEPSTEILYVRDGVLVGDIKHKLLLEGGGHHRVDFKTIYRAKKAVKLPDYHFVDHRIEILNHDKDYNKVTVYESAVARYGVIKPDMKIKLKMEGNVNGHAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTNAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISMEEDSFIYEIHLKGENFPPNGPVMQKKTLKWEPSTEILYVRDGVLVGDIKHKLLLEGGGHHRVDFKTIYRAKKAVKLPDYHFVDHRIEILNHDKDYNKVTVYESAVARYMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAKDPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEKDPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEKVYDPEQRKRMITGPQWWARCKQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESWDEWPDIEEDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTEFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKKVYDPEQRKRMITGPQWWARCKQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESWDEWPDIEEDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTEFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKSKVYDPEQRKRMITGPQWWARCKQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESWDEWPDIEEDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTEFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKNQRKRMITGPQWWARCKQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESWDEWPDIEEDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTEFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKNESKVYDPEQRKRMITGPQWWARCAQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESWALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTAFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKNESKVYDPEQRKRMITGPQWWARCAQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTAFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKNESKVYDPEQRKRMITGPQWWARCKQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESEWPDIEEDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTEFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKNESKVYDPEQRKRMITGPQWWARCKQMNVLDSFINYYDSEKHAENAVIFLHGNATSSYLWRHVVPHIEPVARCIIPDLIGMGKSGKSGNGSYRLLDHYKYLTAWFELLNLPKKIIFVGHDWGAALAFHYAYEHQDRIKAIVHMESVVDVIESEWPDIEEDIALIKSEEGEKMVLENNFFVETVLPSKIMRKLEPEEFAAYLEPFKEKGEVRRPTLSWPREIPLVKGGKPDVVQIVRNYNAYLRASDDLPKLFIESDPGFFSNAIVEGAKKFPNTEFVKVKGLHFLQEDAPDEMGKYIKSFVERVLKNESKHGLTKEMTMKYRMEGCVDGHKFVITGEGIGYPFKGKQAINLCVVEGGPLPFAEDILSAAFNRVFTEYPQDIVDYFKNSCPAGYTWDRSFLFEDGAVCICNADITVSVEENCMYHESKFYGVNFPADGPVMKKMTDNWEPSCEKIIPVPKQGILKGDVSMYLLLKDGGRLRCQFDTVYKAKSVPRKMPDWHFIQHKLTREDRSDAKNQKWHLTEHAIASGSALPSKHGLTKEMTMKYRMEGCVDGHKFVITGEGIGYPFKGKQAINLCVVEGGPLPFAEDILSAAFNRVFTEYPQDIVDYFKNSCPAGYTWDRSFLFEDGAVCICNADITVSVEENCMYHESKFYGVNFPADGPVMKKMTDNWEPSCEKIIPVPKQGILKGDVSMYLLLKDGGRLRCQFDTVYKAKSVPRKMPDWHFIQHKLTREDRSDAKNQKWHLTEHAIASGSALPSKHGLTKEMTMKYRMEGCVDGHKFVITGEGIGYPFKGKQAINLCVVEGGPLPFAEDILSAAFNRVFTEYPQDIVDYFKNSCPAGYTWDRSFLFEDGAVCICNADITVSVEENCMYHESKFYGVNFPADGPVMKKMTDNWEPSCEKIIPVPKQGILKGDVSMYLLLKDGGRLRCQFDTVYKAKSVPRKMPDWHFIQHKLTREDRSDAKNQKWHLTEHAIASGSALPSKHGLTKEMTMKYRMEGCVDGHKFVITGEGIGYPFKGKQAINLCVVEGGPLPFAEDILSAAFNRVFTEYPQDIVDYFKNSCPAGYTWDRSFLFEDGAVCICNADITVSVEENCMYHESKFYGVNFPADGPVMKKMTDNWEPSCEKIIPVPKQGILKGDVSMYLLLKDGGRLRCQFDTVYKAKSVPRKMPDWHFIQHKLTREDRSDAKNQKWHLTEHAIASGSALPMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISDNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLVWTLVTTLVQCFSRYDHMKRHDFFKSAMEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTIGDGVLLDNHYLSTQSALSKDNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQVALSKDPNEKRDHMVLLEFVTAAGITHGGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQVALSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQVALSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQVALSKDPNEKRDHMVLLEFVTAAGITHEVIKEFMRFKEHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSEVIKEFMRFKEHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSTGEVIKEFMRFKEHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQLSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSEVIKEFMRFKEHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQLSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSTGEVIKEFMRFKQHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSEVIKEFMRFKQHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSTKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYEQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYEQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIAIASKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHKQHDFFKSAPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYEQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGGLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAFNRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLEGKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVETMPLYHFIQHRLVKTNVYVVQHETAIAAHSTIKGLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAFNRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLEDGKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVETMPLYHFIQHRLVKTNVYVVQHETAIAAHSTIKGLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAFNRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLEGKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVETMPLYHFIQHRLVKTNVYVVQHETAIAAHSTIKGLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAFNRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLEGKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVETMPLYHFIQHRLVKTNVYVVQHETAIAAHSTIKEVQLLESGGGLVQPGGSLRLSAASGFTFSTFSMNWVRQAPGKGLEWVSYISRTSKTIYYADSVKGRFTISRDNSKNTLYLQMNSLRAEDTAVYYARGRFFDYWGQGTLVTVSIQMTQSPSSLSASVGDRVTITRASQSISSYLNWYQQKPGEAPKLLIYSASVLQSGVPSRFSGSGSGTDFTLTISSLQPEDFATYYQQSVMIPMTFGQGTKVEMTEYKLVVVGAVGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKCDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLNVIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGVFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLNVIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLNVIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLNVIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLNVIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLNVIKPFMRFKVHMEGSVNGHEFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKVYTKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGTFIYHVKFIGVNFPSDGPVMQKKTLGWEPSTERLYPRDGVLKGEIHKALKLKGGGHYLCEFKSIYMAKKPVKLPGYYYVDSKLDITSHNEDYTVVEQYERTEARHHLFLTEDVIKEFMQFKVRMEGSVNGHYFEIEGEGEGKPYEGTQTAKLQVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYMKLSFPEGFTWERSMNFEDGGVVEVQQDSSLQDGTFIYKVKFKGVNFPADGPVMQKKTAGWEPSTEKLYPQDGVLKGEISHALKLKDGGHYTCDFKTVYKAKKPVQLPGNHYVDSKLDITNHNEDYTVVEQYEHAEARHSGVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLVIKEFMRFKVRMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEPSTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERAEGRHHLFLEVQLLESGGGLVQPGGSLRLSAAASGFTFSTFSMNWVRQAPGKGLEWVSYISRTSKTIYYADSVKGRFTISRDNSKNTLYLQMNSLRAEDTAVYYVARGRFFDYWGQGTLVTVSIQMTQSPSSLSASVGDRVTITVRASQSISSYLNWYQQKPGEAPKLLIYSASVLQSGVPSRFSGSGSGTDFTLTISSLQPEDFATYYAQQSVMIPMTFGQGTKVEMTEYKLVVVGAVGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKCDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREIRQHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTANRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWHHNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWHHHNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTANLTVKEGAPLPFSYDILTTAVNRVFTKYPEDIPDYFKQSFPEGYSWERTMTFEDKGICTIRSDISLEGDCFFQNVRFKGTNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDAHFVDHRIEILGNDSDYNKVKLYEHAVARYSPLPSQVWHHHHHHQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVAEAADSSVDLGATMITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFRKTTKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVAEAADSSVDLGATMITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFKGSGSQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVAEAADSSVDLGATMITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFASQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVAEAADSSVDLGATMITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQGQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVAEAADSSVDLGATMITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFKGSGKSQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVAEAADSSVDLGATMITSNQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFQEVEFDIPPQALGSALQEFGRQADIQVLYRPEEVRNKRSSAIKGKLEPNQAITELLRGTGASVDFQGNAITISVQLGTITEDSGSYTPGTIATATRLVLTPRETPQSITVVTRQNMDDFGLNNIDDVMRHTPGITVSAYDTDRNNYYARGFSINNFQYDGIPSTARNVGYSAGNTLSDMAIYDRVEVLKGATGLLTGAGSLGATINLIRKKPTHEFKGHVELGAGSWDNYRSELDVSGPLTESGNVRGRAVAAYQDKHSFMDHYERKTSVYYGILEFDLNPDTMLTVGADYQDNDPKGSGWSGSFPLFDSQGNRNDVSRSFNNGAKWSSWEQYTRTVFANLEHNFANGWVGKVQLDHKINGYHAPLGAIMGDWPAPDNSAKIVAQKYTGETKSNSLDIYLTGPFQFLGREHELVVGTSASFSHWEGKSYWNLRNYDNTTDDFINWDGDIGKPDWGTPSQYIDDKTRQLGSYMTARFNVTDDLNLFLGGRVVDYRVTGLNPTIRESGRFIPYVGAVYDLNDTYSVYASYTDIFMPQDSWYRDSSNKLLEPDEGQNYEIGIKGEYLDGRLNTSLAYFEIHEENRAEEDALYNSKPTNPAITYAYKGIKAKTKGYEAEISGELAPGWQVQAGYTHKIIRDDSGKKVSTWEPQDQLSLYTSYKFKGALDKLTVGGGARWQGKSWQMVYNNPRSRWEKFSQEDYWLVDLMARYQITDKLSASVNVNNVFDKTYYTNIGFYTSASYGDPRNLMFSTRWDFKGKSVSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLLVPRGSHMVSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLLGSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLLVPRGSHMVSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLLGSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSLEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIGGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISDNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHTEYKLVVVGAGGVGKSALTIQLIQNHFVDSYRKQVVIDGETCLLDILDTAEGFLCVFAINNTKSFEDIHQYREQIKRVKDSDDVPMVLVGNKCDLAARTVESRQAQDLARSYGIPYIETSAKTRQGVEDAFYTLVREFRETAAAKFERQHMDSSTASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVKETAAAKFERQHMDSSTSSSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVHKSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVATLRETYGEMADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKEEQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQAALGGAMVIRDENYFTDKYELTRTHSEVLEAVKVVKPGKTLDLGCGNGRNSLYLAANGYDVDAWDKNAMSIANVERIKSIENLDNLHTRVVDLNNLTFDRQYDFILSTVVLMFLEAKTIPGLIANMQRCTKPGGYNLIVAAMDTADYPCTVGFPFAFKEGELRRYYEGWERVKYNEDVGELHRTDANGNRIKLRFATMLARKKGAMVIRDENYFTDKYELTRTHSEVLEAVKVVKPGKTLDLGCGNGRNSLYLAANGYDVDAWDKNAMSIANVERIKSIENLDNLHTRVVDLNNLTFDRQYDFILSTVVLMFLEAKTIPGLIANMQRCTKPGGYNLIVAAMDTADYPCTVGFPFAFKEGELRRYYEGWERVKYNEDVGELHRTDANGNRIKLRFATMLARKKRDENYFTDKYELTRTHSEVLEAVKVVKPGKTLDLGCGNGRNSLYLAANGYDVDAWDKNAMSIANVERIKSIENLDNLHTRVVDLNNLTFDRQYDFILSTVVLMFLEAKTIPGLIANMQRCTKPGGYNLIVAAMDTADYPCTVGFPFAFKEGELRRYYEGWERVKYNEDVGELHRTDNRIKLRFATMLARKRDENYFTDKYELTRTHSEVLEAVKVVKPGKTLDLGCGNGRNSLYLAANGYDVDAWDKNAMSIANVERIKSIENLDNLHTRVVDLNNLTFDRQYDFILSTVVLMFLEAKTIPGLIANMQRCTKPGGYNLIVAAMDTADYPCTVGFPFAFKEGELRRYYEGWERVKYNEDVGELHRTDANGNRIKLRFATMLARKKSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVAADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQAASEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTDAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQAASEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVATLAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKTFAEEGKKLVAASSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEHKSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVATLRETYGEMADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKEEQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQAALGHKSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVATLRETYGEMADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKEEQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQAALGSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVAADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQASEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTDAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQASEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVAADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQASEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTDAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKADDKETFAEEGKKLVAASQAKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISDNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISDNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISGNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFLTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSGNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICIATNDITLDGDCFIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHRIEIKSHDKDYNNVNLHEHAEAHSGLSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSELVSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSVSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSVSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSVSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSVSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSMSVIKPEMKMKYFMDGSVNGHEFTVEGEGTGKPYEGKHKITLDVTKGGPLPFAFDLLSTVFNRCLTKYPDDIPDYFKQCFPGGYSWERKFEFEDGGLAIAKAEISLKGNCFEHKSTIEGTFPDSSPIAQNKTLGWEPSTEKMTVRDGSMKGDDAAYLKLVGGGNHKCYFTTTYTAKKKIPNLPQSHFIGHRISSVVNGTKIGVMEDAIAHLYPFNPTMVSVIKPEMKMRYYMDGSVNGHEFTVEGEGTGRPYEGKQKITLDVTKGGPLPFAFDLLSTVFNRALTKYPDDIPDYFKQCFPGGYSWERKFEFEDGGLAIAKAEISLKGNCFEHKSTIEGTFPDSSPIMQNKTLGWEPSTEKMTVRDGSMKGDDASYLKLVGGGNHKCYFTTTYTAKKKIPNLPGSHFIGHRISSVVEGTKIKVMEDAIAHLYPFNGLFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRIIKPEMKIKLCMRGTVNGHNFVIEGEGKGNPYEGTQILDLNVTEGAPLPFAYDILTTVFNRAFTKYPADIQDYFKQTFPEGYHWERSMTYEDQGICTATSNISMRGDCFFYDIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVEDGVLKGDVNMRLLLEGGGHYRCDFKTTYKAKKEVRLPDAHKIDHRIEILKHDKDYNKVKLYENAVARKPEMKIKLCMRGTVNGHNFVIEGEGKGNPYEGTQILDLNVTEGAPLPFAYDILTTVFNRAFTKYPADIQDYFKQTFPEGYHWERSMTYEDQGICTATSNISMRGDCFFYDIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVEDGVLKGDVNMRLLLEGGGHYRCDFKTTYKAKKEVRLPDAHKIDHRIEILKHDKDYNKVKLYENAVARMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKLPFPPDIDPQVFYELPEEVQKELMAEWESKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGSMQIFVKTLTGKTITLEVEPSDTIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLAFDSTWKVDRSENYDKFMEKMGVNIVKRKLAAHDNLKLTITQEGNKFTVKESSAFRNIEVVFELGVTFNYNLADGTELRGTWSLEGNKLIGKFKRTDNGNELNTVREIIGDELVQTYVYEGVEAKRIFKKDAFDSTWKVDRSENYDKFMEKMGVNIVKRKLAAHDNLKLTITQEGNKFTVKESSAFRNIEVVFELGVTFNYNLADGTELRGTWSLEGNKLIGKFKRTDNGNELNTVREIIGDELVQTYVYEGVEAKRIFKKDAFDSTWKVDRSENYDKFMEKMGVNIVKRKLAAHDNLKLTITQEGNKFTVKESSAFRNIEVVFELGVTFNYNLADGTELRGTWSLEGNKLIGKFKRTDNGNELNTVREIIGDELVQTYVYEGVEAKRIFKKDAFDSTWKVDRSENYDKFMEKMGVNIVKRKLAAHDNLKLTITQEGNKFTVKESSAFRNIEVVFELGVTFNYNLADGTELRGTWSLEGNKLIGKFKRTDNGNELNTVREIIGDELVQTYVYEGVEAKRIFKKDAFDGTWKVDRNENYEKFMEKMGINVVKRKLGAHDNLKLTITQEGNKFTVKESSNFRNIDVVFELGVDFAYSLADGTELTGTWTMEGNKLVGKFKRVDNGKELIAVREISGNELIQTYTYEGVEAKRIFKKMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITANGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITANGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITANGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGISELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNRSNVYITADKQKNGIKANFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTSALSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCRSNVYITADKQKNGIKANFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSNVYIMADKQKNGIKANFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNCESNVYIMADKQKNGIKANFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTCSALSKDPNEKRDHMVLLEFVTAAGITLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPSEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLLTEMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPSEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPSEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPSEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHDIVMTQAAFSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPDRFSSSGSGTDFTLRISRVEAEDVGVYYAQNLELPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEEVKLVESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVKGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSSAKTTPPSVYPLAPGCGDTTGSSVTLGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSETVTSVAHPASSTTVDKKLEPDIVMTQAAFSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPDRFSSSGSGTDFTLRISRVEAEDVGVYYAQNLELPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEEVKLVESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVKGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSSAKTTPPSVYPLAPGCGDTTGSSVTLGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSETVTSVAHPASSTTVDKKLEPEVKLVESGGGLVKPGGSLKLSTASGITFSRYIMSWVRQIPEKRLEWVASISSGGITYYPDSVKGRFTISRDNVRNILYLQMSSLRSEDTALYYARGQGRPYWGQGTLVTVSSAKTTPPSVYPLAPGGDTTGSSVTLGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSQTVTSVAHPASSTTVDKKLEPDIVMTQAAFSNPVTLGTSASISRSTKSLLHSNGITYLYWYLQKPGQSPQLLIYQMSNLASGVPDRFSSSGSGTDFTLRISRVEAEDVGVYYAQNLELPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEDIQMTQTTSSLSASLGDRVTISRASQDISNYLNWYQQKPDGTVKLLIYYTSRLHSGVPSRFSGSGSGTDYSLTISNLDQDDIATYFQQGTTLPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEEVQLQESGPGLVKPSQSLSLTTVTGYSITSDYAWNWLRQLPGNKLEWMGYISYSGRIRYNPSLKRRISITRDTSKNQFFLQLNSVTTEDTATYYARSDYGNYGRGDYWGQGTSVTVSSAKTTPPSVYPLAPGCGDTTGSSVTSGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSETVTSVAHPASSTTVDKKLEPSDIQMTQTTSSLSASLGDRVTISRASQDISNYLNWYQQKPDGTVKLLIYYTSRLHSGVPSRFSGSGSGTDYSLTISNLDQDDIATYFQQGTTLPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEEVQLQESGPGLVKPSQSLSLTTVTGYSITSDYAWNWLRQLPGNKLEWMGYISYSGRIRYNPSLKRRISITRDTSKNQFFLQLNSVTTEDTATYYARSDYGNYGRGDYWGQGTSVTVSSAKTTPPSVYPLAPGCGDTTGSSVTSGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSETVTSVAHPASSTTVDKKLEPDIQMTQTTSSLSASLGDRVTISRASQDISNYLNWYQQKPDGTVKLLIYYTSRLHSGVPSRFSGSGSGTDYSLTISNLDQDDIATYFQQGTTLPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEEVQLQESGPGLVKPSQSLSLTTVTGYSITSDYAWNWLRQLPGNKLEWMGYISYSGRIRYNPSLKRRISITRDTSKNQFFLQLNSVTTEDTATYYARSDYGNYGRGDYWGQGTSVTVSSAKTTPPSVYPLAPGCGDTTGSSVTSGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSETVTSVAHPASSTTVDKKLEPDIQMTQTTSSLSASLGDRVTISRASQDISNYLNWYQQKPDGTVKLLIYYTSRLHSGVPSRFSGSGSGTDYSLTISNLDQDDIATYFQQGTTLPPTFGGGTKLEIKRADAAPTVSIFPPSSEQLTSGGASVVFLNNFYPKDINVKWKIDGSERQNGVLNSWTDQDSKDSTYSMSSTLTLTKDEYERHNSYTEATHKTSTSPIVKSFNRNEEVQLQESGPGLVKPSQSLSLTTVTGYSITSDYAWNWLRQLPGNKLEWMGYISYSGRIRYNPSLKRRISITRDTSKNQFFLQLNSVTTEDTATYYARSDYGNYGRGDYWGQGTSVTVSSAKTTPPSVYPLAPGCGDTTGSSVTSGLVKGYFPESVTVTWNSGSLSSSVHTFPALLQSGLYTMSSSVTVPSSTWPSETVTSVAHPASSTTVDKKLEPLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHLTETMPFRMTMEGTVNGHHFKCTGKGEGNPFEGTQDMKIEVIEGGPLPFAFDILSTSCSKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDLVYKVKILGNNFPADGPVMQNKAGGWEPGEILYEVDGVLCGQSLMALKCPGGRHLNCRLHTTYRSKKPASALKMPEFHFEDHRIEVKEVQKGKHYEQYEAAVARYDAAPSKLGHHMSCSKSVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQFNKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKAALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFYVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQFNKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKAALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFYSVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQFNKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKAALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFYEPVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQFNKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKAALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFYEPVIKEEMLIDLHLEGTFHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQFNKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCCITNDISLTGNCFYYDIKFTGLNFPPNGPVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKAAMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFYGTFNHYFKGLPFGWHILCPWMHFEDGLCCTFTGLNFPPNGPVVQKKDIHHAACDIDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMNSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGTNFPSNGAVMQKKTKGWEPNTEMLYPADGGLRGYSQMALNVDGGGYLSCSFETTYRSKKTVENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPSKLGRLMNSLIKENMRMMVVEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVRGVNFPSNGAVMQKKTKGWEPSTEMLYPADGGLRGYSQMALNVDGGGYLSCSFETTYRSKKTVENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPSKLGRLSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPSTEMLYPADGGLRGYCQMALNVDGGGYLFCSFETTYRSKKTDENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPSKLGRLSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPSTEMLYPADGGLRGYCQMALNVDGGGYLFCSFETTYRSKKTDENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPSKLGRLSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPSTEMLYPADGGLRGYCQMALNVDGGGYLFCSFETTYRSKKTDENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPSKLGRLSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSFSKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPSTEMLYPADGGLRGYCQMALNVDGGGYLFCSFETTYRSKKTDENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLPSKLGRLSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITATRGTQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQTVLSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITATRGKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQTVLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITATRGTKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQTVLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITATRGTKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQTVLSKDPNEKRDHMVLLEFVTAAGITLKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITATRGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQTVLSKDPNEKHMVLLEFVTAAGITLKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNSSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDRGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARWMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLSMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGGITTKQLGTVMRSLGQNPTEAELQDMINEVGGTIDFPQFLTMMARKMSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNDSSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLGVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTASSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLGMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTASSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTGKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITVQLQESGGGSVQAGGSLRLSCAASGDTFSSYSMAWFRQAPGKEELVSNILRDGTTTYAGSVKGRFTISRDDAKNTVYLQMVNLKSEDTARYYAADSGTQLGYVGAVGLSLDYVMDYWGKGTQVTVSEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIGEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIGERPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNNIVKSQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPSNLAVNEDSELKILDFGLCTRWYRAPEIMLNWMHYNQTVDIWSVGCIMAELLTGRTLFPGTDHIDQLKLILRLVGTPGAELLKKISSESARNYIQSLTQMPKMNFANVFIGANPLAVDLLEKMLVLDSDKRITAAQALAHAYFAQYHDPDDEPVADPYDQSLESRDLLIDEWKSLTYDEVISFVPPPERPTFYRQELNKTIWEVPERYQNLSPVGSGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNNIVKSQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPSNLAVNEDSELKILDFGVATRWYRAPEIMLNWMHYNQTVDIWSVGCIMAELLTGRTLFPGTDHIDQLKLILRLVGTPGAELLKKISSESARNYIQSLTQMPKMNFANVFIGANPLAVDLLEKMLVLDSDKRITAAQALAHAYFAQYHDPDDEPVADPYDQSLESRDLLIDEWKSLTYDEVISFVPPPLDQRPTFYRQELNKTIWEVPERYQNLSPVGYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNNIVKSQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPSNLAVNEDSELKILDFGTRWYRAPEIMLNWMHYNQTVDIWSVGCIMAELLTGRTLFPGTDHIDQLKLILRLVGTPGAELLKKISSESARNYIQSLTQMPKMNFANVFIGANPLAVDLLEKMLVLDSDKRITAAQALAHAYFAQYHDPDDEPVADPYDQSLESRDLLIDEWKSLTYDEVISFVPPPERPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNNIVKCQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPSNLAVNEDCELKILDFGLAVATRWYRAPEIMLNWMHYNQTVDIWSVGCIMAELLTGRTLFPGTDHIDQLKLILRLVGTPGAELLKKISSESARNYIQSLTQMPKMNFANVFIGANPLAVDLLEKMLVLDSDKRITAAQALAHAYFAQYHDPDDEPVADPYDQSFESRDLLIDEWKSLTYDEVISFVPPPRPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNNIVKCQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPSNLAVNEDCELKILDFGLVATRWYRAPEIMLNWMHYNQTVDIWSVGCIMAELLTGRTLFPGTDHIDQLKLILRLVGTPGAELLKKISSESARNYIQSLTQMPKMNFANVFIGANPLAVDLLEKMLVLDSDKRITAAQALAHAYFAQYHDPDDEPVADPYDQSFESRDLLIDEWKSLTYDEVISFVPPPERPTFYRQELNKTIWEVPERYQNLSPVGSYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNNIVKSQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPSNLAVNEDSELKILDFGLCVATRWYRAPEIMLNWMHYNQTVDIWSVGCIMAELLTGRTLFPGTDHIDQLKLILRLVGTPGAELLKKISSESARNYIQSLTQMPKMNFANVFIGANPLAVDLLEKMLVLDSDKRITAAQALAHAYFAQYHDPDDEPVADPYDQSLESRDLLIDEWKSLTYDEVISFVPPPLLYFQGMVSKGEELFGGIVPILVELEGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSVMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKARHNITDGSVQLADHYQQNTPIGDGPVILPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGITSMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSHQSALSKDPNEKRDHMVLLEFVTAAGIEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIGEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIGELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSHTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEAHTEMLYPADGGLEGRADLALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDYRLERIKEADKETYVEQHEVAVARYCDLPSKLELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSHTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEAHTEMLYPADGGLEGRADLALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDYRLERIKEADKETYVEQHEVAVARYCDLPSKLELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSHTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEAHTEMLYPADGGLEGRADLALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDYRLERIKEADKETYVEQHEVAVARYCDLPSKLTFGSGEADGLRPLFEKKSLEDKTERELLESYIDGRIVEGSDAEIGMSPWQVMLFRKSPQELLGASLISDRWVLTAAHLLYPPWDKNFTENDLLVRIGKHSRTRYERNIEKISMLEKIYIHPRYNWRENLDRDIALMKLKKPVAFSDYIHPVLPDRETAASLLQAGYKGRVTGWGNLKEGQPSVLQVVNLPIVERPVKDSTRIRITDNMFAGYKPDEGKRGDAEGDSGGPFVMKSPFNNRWYQMGIVSWGEGDRDGKYGFYTHVFRLKKWIQKVIDQFGEDFEEIPEELGVRLYFQGMVSKGEELFGGIVPILVELEGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSVMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKARHNITDGSVQLADHYQQNTPIGDGPVILPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITEELIKEDMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTGRIKVVEGGPLPFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRCDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYFVDRRLERIKEADNETYVEQHEVAVARYCDLPSKLGHKLVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSSVIAKQMTYKVYMSGTVNGHYFEVEGDGKGKPYEGEQTVKLTVTKGGPLPFAWDILSPQLSIPFTKYPEDIPDYFKQSFPEGYTWERSMNFEDGAVCTVSNDSSIQGNCFIYNVKISGENFPPNGPVMQKKTQGWEPSTERLFARDGMLIGNDYMALKLEGGGHYLCEFKSTYKAKKPVRMPGRHEIDRKLDVTSHNRDYTSVEQCEIAIARHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHKRHDFFKSAPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHKRHDFFKSAPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHVLLEFVTAAGIQVQLVESGGALVQPGGSLRLSAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYNVNVGFEYWGQGTQVTVSQVQLVESGGALVQPGGSLRLSAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYNVNVGFEYWGQGTQVTVSSAIIKEFMRFKVHMEGSVNGHVFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFTWDILSPQFSNAYVKHPADIPDYFKLSFPEGFKWERVMKFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGWEALSERMYPEDGALKGEVKPRVKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNRKLDITSHNEDYTIVEQYERAEGRHSAIIKEFMRFKVHMEGSVNGHVFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFTWDILSPQFSNAYVKHPADIPDYFKLSFPEGFKWERVMKFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGWEALSERMYPEDGALKGEVKPRVKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNRKLDITSHNEDYTIVEQYERAEGRHSVKLKTNFEDPKWVNRHKFMFNFLDINGNGKITLDEIVSKASDDICAKLGATPAQTQRHQEAVEAFFKKIGLDYGKEVEFPAFVNGWKELAKHDLKLWSQNKKSLIRNWGEAVFDIFDKDGSGSISLDEWKTYGGISGICPSDEDAEKTFKHCDLDNSGKLDVDEMTRQHLGFWYTLDPNADGLYGNFVPMVSKGEELFGGIVPILVELEGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSVMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNITDGSVQLADHYQQNTPIGDGPVILPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDELYNMAIIKEFMRFKVHVEGSVNGHEFEIEGEGKGRPYEGTQTAKLKVTKGGPLPFAWDILSPQSRAYVKHPADIPDYWKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGWEASTERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERSEGRHSTGNMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSRAYVKHPADIPDYWKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGWEAISERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGGMDMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSHHHHHHTDPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSHHHHHHTDPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYICEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIISHDKDYSNVNLHEHAEAHSESKGAELFTGIVPILIELNGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFEDDGNYKSRAEVKFEGDTLVNRIELTGTDFKEDGNILGNKMEYNYNAHNVYIMTDKAKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMIYFGFVTAAAITHGMDELYKSKGAELFTGIVPILIELNGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFEDDGNYKSRAEVKFEGDTLVNRIELTGTDFKEDGNILGNKMEYNYNAHNVYIMTDKAKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMIYFGFVTAAAITHGMDELYKMSKGAELFTGIVPILIELNGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFEDDGNYKSRAEVKFEGDTLVNRIELTGTDFKEDGNILGNKMEYNYNAHNVYIMTDKAKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMIYFEFVTAAAIMSKGAELFTGIVPILIELNGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFEDDGNYKSRAEVKFEGDTLVNRIELTGTDFKEDGNILGNKMEYNYNAHNVYIMTDKAKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMIYFEFVTAAAIMSKGAELFTGIVPILIELNGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFEDDGNYKSRAEVKFEGDTLVNRIELTGTDFKEDGNILGNKMEYNYNAHNVYIMTDKAKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMIYFEFVTAAAIMSKGAELFTGIVPILIELNGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFEDDGNYKSRAEVKFEGDTLVNRIELTGTDFKEDGNILGNKMEYNYNAHNVYIMTDKAKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMIYFEFVTAAAIELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRSDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRSDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRSDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRSDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLMSEELIKENMHMKLYMEGTVDNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAFTETLYPADGGLEGRNDMALKLVGGSHLIANIKTTYRSKKPAKNLKMPGVYYVDYRLERIKEANNETYVEQHEVAVARYCDLPSKMSEELIKENMHMKLYMEGTVDNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAFTETLYPADGGLEGRNDMALKLVGGSHLIANIKTTYRSKKPAKNLKMPGVYYVDYRLERIKEANNETYVEQHEVAVARYCDLPSKLGMSEELIKENMHMKLYMEGTVDNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAFTETLYPADGGLEGRNDMALKLVGGSHLIANIKTTYRSKKPAKNLKMPGVYYVDYRLERIKEANNETYVEQHEVAVARYCDLPSKLEELIKENMHMKLYMEGTVDNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAFTETLYPADGGLEGRNDMALKLVGGSHLIANIKTTYRSKKPAKNLKMPGVYYVDYRLERIKEANNETYVEQHEVAVARYCDLPSKLSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKMPGSHYISHRLVRKTEGNITELVEDAVAHSSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSSVIKPEMKMRYYMDGSVNGHEFTIEGEGTGRPYEGHQEMTLRVTMAKGGPMPFAFDLVSHVHRPFTKYPEEIPDYFKQAFPEGLSWERSLEFEDGGSASVSAHISLRGNTFYHKSKFTGVNFPADGPIMQNQSVDWEPSTEKITASDGVLKGDVTMYLKLEGGGNHKCQFKTTYKAAKKILKMPGSHYISHRLVRKTEGNITELVEDAVAHSEEDNMAIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGWEACSERMYPEDGALKGEMKMRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNTNTKLDITSHNEDYTIVEQYERNEGRHSTGGMDELYKMAIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSAIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSAIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSMAIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSEVIKEFMRFKEHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDTKLDITSHNEDYTIVEQYERNEGRHSTGAELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDDALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDDALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDDALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDDALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDEALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDEALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDEALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSYTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEAGTEMLYPADGGLEGRSDEALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGPGSSRRKWNKTGHAVRAIGSSLENVYIMADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSFQSVLSKDPNEKRDHMVLLEFVTAAGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLKCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIGFKEDGNILGHKLEYNSRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTAGPGSSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSFQSVLSKDPNEKRDHMVLLEFVTAAGITLGGTGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLKCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIGFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTAKGPGSSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSFQSVLSKDPNEKRDHMVLLEFVTAAGITLGMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLKCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIGFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTAKSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLGMDEKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITQVQLVESGGALVQPGGSLRLSCAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYCNVNVGFEYWGQGTQVTVSSQVQLVESGGALVQPGGSLRLSCAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYCNVNVGFEYWGQGTQVTVSSMQVQLVESGGALVQPGGSLRLSCAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYCNVNVGFEYWGQGTQVTVSSQVQLVESGGALVQPGGSLRLSCAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYCNVNVGFEYWGQGTQVTVSSKIEEGKLVIWINGDKGYNGLAEVGKKFEKDTGIKVTVEHPDKLEEKFPQVAATGDGPDIIFWAHDRFGGYAQSGLLAEITPDKAFQDKLYPFTWDAVRYNGKLIAYPIAVEALSLIYNKDLLPNPPKTWEEIPALDKELKAKGKSALMFNLQEPYFTWPLIAADGGYAFKYENHLSHNVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLGMDELYKGVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNGGKYDIKDVGVDNAGAKAGLTFLVDLIKNKHMNADTDYSIAEAAFNKGETAMTINGPWAWSNIDTSKVNYGVTVLPTFKGQPSKPFVGVLSAGINAASPNKELAKEFLENYLLTDEGLEAVNKDKPLGAVALKSYEEELVKDPRIAATMENAQKGEIMPNIPQMSAFWYAVRTAVINAASGRQTVDEDLKDAQTRITRWGSKIEEGKLVIWINGDKGYNGLAEVGKKFEKDTGIKVTVEHPDKLEEKFPQVAATGDGPDIIFWAHDRFGGYAQSGLLAEITPDKAFQDKLYPFTWDAVRYNGKLIAYPIAVEALSLIYNKDLLPNPPKTWEEIPALDKELKAKGKSALMFNLQEPYFTWPLIAADGGYAFKYENGKYDIKDVGVDNAGAKAGLTFLVDLIKNKHMNADTDYSIAEAAFNKGETAMTINGPWAWSNIDTSKVNYGVTVLPTFKGQPSKPFVGVLSAGINAASPNKELAKEFLENYLLTDEGLEAVNKDKPLGAVALKSYEEELGGSHNVYIMADKQRNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNNPAKDPRIAATMENAQKGEIMPNIPQMSAFWYAVRTAVINAASGRQTVDEDLKDAQTRITKRWGSKIEEGKLVIWINGDKGYNGLAEVGKKFEKDTGIKVTVEHPDKLEEKFPQVAATGDGPDIIFWAHDRFGGYAQSGLLAEITPDKAFQDKLYPFTWDAVRYNGKLIAYPIAVEALSLIYNKDLLPNPPKTWEEIPALDKELKAKGKSALMFNLQEPYFTWPLIAADGGYAFKYENGKYDIKDVGVDNAGAKAGLTFLVDLIKNKHMNADTDYSIAEAAFNKGETAMTINGPWAWSNIDTSKVNYGVTVLPTFKGQPSKPFVGVLSAGINAASPNKELAKEFLENYLLTDEGLEAVNKDKPLGAVALKSYEEELGGSHNVYIMADKQRNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNNPAKDPRIAATMENAQKGEIMPNIPQMSAFWYAVRTAVINAASGRQTVDEDLKDAQTRITKMKKLVVITGASSGIGEAIARRFSEEGHPLLLLARRVERLKALNLPNTLCAQVDVTDKYTFDTAITRAEKIYGPADAIVNNAGMMLLGQIDTQEANEWQRMFDVNVLGLLNGMQAVLAPMKARNCGTIINISSIAGKKTFPDHAAYCGTKFAVHAISENVREEVAASNVRVMTIAPSAVKTELLSHTTSQQIKDGYDAWRVDMGGVLAADDVARAVLFAYQQPQNVCIREIALAPTKQQPKKLVVITGASSGIGEAIARRFSEEGHPLLLLARRVERLKALNLPNTLCAQVDVTDKYTFDTAITRAEKIYGPADAIVNNAGMMLLGQIDTQEANEWQRMFDVNVLGLLNGMQAVLAPMKARNCGTIINISSIAGKKTFPDHAAYCGTKFAVHAISENVREEVAASNVRVMTIAPSAVKTELLSGGVLAADDVARAVLFAYQQPQNVCIREIALAPTKQKKLVVITGASSGIGEAIARRFSEEGHPLLLLARRVERLKALNLPNTLCAQVDVTDKYTFDTAITRAEKIYGPADAIVNNAGMMLLGQIDTQEANEWQRMFDVNVLGLLNGMQAVLAPMKARNCGTIINISSIAGKKTFPDHAAYCGTKFAVHAISENVREEVAASNVRVMTIAPSAVKTELLSGGVLAADDVARAVLFAYQQPQNVCIREIALAPTKQKKLVVITGASSGIGEAIARRFSEEGHPLLLLARRVERLKALNLPNTLCAQVDVTDKYTFDTAITRAEKIYGPADAIVNNAGMMLLGQIDTQEANEWQRMFDVNVLGLLNGMQAVLAPMKARNCGTIINISSIAGKKTFPDHAAYCGTKFAVHAISENVREEVAASNVRVMTIAPSAVKTELLSHTTSQQIKDGYDAWRVDMGGVLAADDVARAVLFAYQQPQNVCIREIALAPTKQQPLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGIGTGSRHHHHHHSRKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCIIYNVKINGVNFPSNGSVMQKKTLGWEANTEMLYPADGGLRGHSQMALKLVGGGYLHCSFKTTYRSKKPAKNLKMPGFHFVDHRLERIKEADKETYVEQHEMAVAKYCDLPSKLGHHHHHHGSSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCIIYNVKINGVNFPSNGSVMQKKTLGWEANTEMLYPADGGLRGHSQMALKLVGGGYLHCSFKTTYRSKKPAKNLKMPGFHFVDHRLERIKEADKETYVEQHEMAVAKYCDLPSKLGHRSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCIIYNVKINGVNFPSNGSVMQKKTLGWEANTEMLYPADGGLRGHSQMALKLVGGGYLHCSFKTTYRSKKPAKNLKMPGFHFVDHRLERIKEADKETYVEQHEMAVAKYCDLPSKLGSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCIIYNVKINGVNFPSNGSVMQKKTLGWEANTEMLYPADGGLRGHSQMALKLVGGGYLHCSFKTTYRSKKPAKNLKMPGFHFVDHRLERIKEADKETYVEQHEMAVAKYCDLPSKLGHREDSELISENMHMKLYMEGTVNDHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDLPEDSELISENMHMKLYMEGTVNDHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDLPELISENMHMKLYMEGTVNDHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDLPSKELISENMHMKLYMEGTVNDHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDLPSKELISENMHMKLYMEGTVNDHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDLPSKLLISENMHMKLYMEGTVNDHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDLPSKSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCIIYNVKINGVNFPSNGSVMQKKTLGWEANTEMLYPADGGLRGHSQMALKLVGGGYLHCSFKTTYRSKKPAKNLKMPGFHFVDHRLERIKEADKETYVEQHEMAVAKYCDLPSSELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCIIYNVKINGVNFPSNGSVMQKKTLGWEANTEMLYPADGGLRGHSQMALKLVGGGYLHCSFKTTYRSKKPAKNLKMPGFHFVDHRLERIKEADKETYVEQHEMAVAKYCDLPSPDSATGPQAGYVAKRSLSGTKTDASLSEIPQSISVITRDQMDAQQVQSVNEALRYTAGVQANTTAASQRFDTLSIRGFDVTTGMLRDGLKGNTAQAWPKVEAYGLERIDVLKGPASVLFGQNSPGGVVNQISKRPLDKPFHEVQIQGGSFDRAQGQFDFSGPLDDEGQFLYRLVGLERDSGTQFDHIKDDKQYFAPSFTWKPNDDTSLTLLADYTQDTFGAPRVFLPAQGTLLGNPNGKVRHNVFLDEPGLDNDRTQYSLGYLLEHRLNDVWSLNSSARYGHVNLLTNTASGMSLAPDLRTLNRAAYRFRIVGDTYSLDNNAQARWNLGSTQMVSLLGIDYRRTREDYYLRGGSASPIDIYNPVHHHHGVFDPSTPFTNTVQRADQVGVYAQQQFTFDEHWVLTVGGRQDRSSARTDNRMNDSGSKQDDEKFTYRTGLVYLADNGLAPYISYSTSFDPVLGTNFYGTPYKPTSAKQSEVGVKYQPPGIDSYITLSLFDLTQENVLTTDPAQRLNKIQTGEINVRGIELEGKASLARGLDLLAALTYNDAEVSKSNNPLEKGKRPTDTPEKMASLWADYTLPEGPLSGLGFGAGVRYIGSTEADAANTQRVPSYTLLDAAVHYDFDKLIPAAKGLRLAVNATNLTDKHYYEGSLTNSAGYDRSVIASLRYRWPDSATGPQAGYVAKRSLSGTKTDASLSEIPQSISVITRDQMDAQQVQSVNEALRYTAGVQANTTAASQRFDTLSIRGFDVTTGMLRDGLKGNTAQAWPKVEAYGLERIDVLKGPASVLFGQNSPGGVVNQISKRPLDKPFHEVQIQGGSFDRAQGQFDFSGPLDDEGQFLYRLVGLERDSGTQFDHIKDDKQYFAPSFTWKPNDDTSLTLLADYTQDTFGAPRVFLPAQGTLLGNPNGKVRHNVFLDEPGLDNDRTQYSLGYLLEHRLNDVWSLNSSARYGHVNLLTNTASGMSLAPDLRTLNRAAYRFRIVGDTYSLDNNAQARWNLGSTQMVSLLGIDYRRTREDYYLRGGSASPIDIYNPVHHVFDPSTPFTNTVQRADQVGVYAQQQFTFDEHWVLTVGGRQDRSSARTDNRMNDSGSKQDDEKFTYRTGLVYLADNGLAPYISYSTSFDPVLGTNFYGTPYKPTSAKQSEVGVKYQPPGIDSYITLSLFDLTQENVLTTDPAQRLNKIQTGEINVRGIELEGKASLARGLDLLAALTYNDAEVSKSNNPLEKGKRPTDTPEKMASLWADYTLPEGPLSGLGFGAGVRYIGSTEADAANTQRVPSYTLLDAAVHYDFDKLIPAAKGLRLAVNATNLTDKHYYEGSLTNSAGYDRSVIASLRYRWMKEFYLTVEQIGDSIFERYIDSNGRERTREVEYKPSLFAHCPESQATKYFDIYGKPCTRKLFANMRDASQWIKRMEDIGLEALGMDDFKLAYLSDTYNYEIKYDHTKIRVANFDIEVTSPDGFPEPSQAKHPIDAITHYDSIDDRFYVFDLLNSPYGNVEEWSIEIAAKLQEQGGDEVPSEIIDKIIYMPFDNEKELLMEYLNFWQQKTPVILTGWNVESFAIPYVYNRIKNIFGESTAKRLSPHRKTRVKVIENMYGSREIITLFGISVLDYIDLYKKFSFTNQPSYSLDYISEFELNVGKLKYDGPISKLRESNHQRYISYNIIAVYRVLQIDAKRQFINLSLDMGYYAKIQIQSVFSPIKTWDAIIFNSLKEQNKVIPQGRSHPVQPYPGAFVKEPIPNRYKYVMSFDLTSLYPSIIRQVNISPETIAGTFKVAPLHDYINAVAERPSDVYSCSPNGMMYYKDRDGVVPTEITKVFNQRKEHKGYMLAAQRNGEIIKEALHNPNLSVDEPLDVDYRFDFSDEIKEKIKKLSAKSLNEMLFRAQRTEVAGMTAQINRKLLINSLAGALGNVWFRYYDLRNATAITTFGQMALQWIERKVNEYLNEVCGTEGEAFVLYGDTDSIYVSADKIIDKVGESKFRDTNHWVDFLDKFARERMEPAIDRGFREMCEYMNNKQHLMFMDREAIAGPPLGSKGIGGFWTGKKRYALNVWDMEGTRYAEPKLKIMGLETQKSSTPKAVQKALKECIRRMLQEGEESLQEYFKEFEKEFRQLNYISIASVSSANNIAKYDVGGFPGPKCPFHIRGILTYNRAIKGNIDAPQVVEGEKVYVLPLREGNPFGDKCIAWPSGTEITDLIKDDVLHWMDYTVLLEKTFIKPLEGFTSAAKLDYEKKASLFDMFMKEFYLTVEQIGDSIFERYIDSNGRERTREVEYKPSLFAHCPESQATKYFDIYGKPCTRKLFANMRDASQWIKRMEDIGLEALGMDDFKLAYLSDTYNYEIKYDHTKIRVANFDIEVTSPDGFPEPSQAKHPIDAITHYDSIDDRFYVFDLLNSPYGNVEEWSIEIAAKLQEQGGDEVPSEIIDKIIYMPFDNEKELLMEYLNFWQQKTPVILTGWNVESFAIPYVYNRIKNIFGESTAKRLSPHRKTRVKVIENMYGSREIITLFGISVLDYIDLYKKFSFTNQPSYSLDYISEFELNVGKLKYDGPISKLRESNHQRYISYNIIAVYRVLQIDAKRQFINLSLDMGYYAKIQIQSVFSPIKTWDAIIFNSLKEQNKVIPQGRSHPVQPYPGAFVKEPIPNRYKYVMSFDLTSLYPSIIRQVNISPETIAGTFKVAPLHDYINAVAERPSDVYSCSPNGMMYYKDRDGVVPTEITKVFNQRKEHKGYMLAAQRNGEIIKEALHNPNLSVDEPLDVDYRFDFSDEIKEKIKKLSAKSLNEMLFRAQRTEVAGMTAQINRKLLINSLAGALGNVWFRYYDLRNATAITTFGQMALQWIERKVNEYLNEVCGTEGEAFVLYGDTDSIYVSADKIIDKVGESKFRDTNHWVDFLDKFARERMEPAIDRGFREMCEYMNNKQHLMFMDREAIAGPPLGSKGIGGFWTGKKRYALNVWDMEGTRYAEPKLKIMGLETQKSSTPKAVQKALKECIRRMLQEGEESLQEYFKEFEKEFRQLNYISIASVSSANNIAKYDVGGFPGPKCPFHIRGILTYNRAIKGNIDAPQVVEGEKVYVLPLREGNPFGDKCIAWPSGTEITDLIKDDVLHWMDYTVLLEKTFIKPLEGFTSAAKLDYEKKASLFDMFGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHAGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDMALKLVEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADEFLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGHKGGTGGSMSELITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNAAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVQLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPHLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPLKASKLVQVSKYKTMKSVDFLMTIEELKTRLHTEQSVKTETGIDQQKANDVIEGNIDVEDKKVLYCEILKNFNILDKNNVFKPQGIKAVMELLIDENSVKQLVSDSTISEENPLKASKLVQVSKYKTMKSVDFLPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQMSLNAATFLGQEPTVLRGQTLAALLPEQWPALQAALPPGCPDALQYRATLDWPAAGHLSLTVHRVGELLILEFEPTETGPHALRNAMFALESAPNLRALAEVATQTVRELTGFDRVMLYKFAPDATGEVIAEARREGLHAFLGHRFPASHIPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQYLRNMGVGSSLSVSVVVGGQLWGLIACHHQTPYVLPPDLRTTLESLGRLLSLQVQVKEALEPLPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQMSLNAATFLGQEPTVLRGQTLAALLPEQWPALQAALPPGCPDALQYRATLDWPAAGHLSLTVHRVGELLILEFEPTETGPHALRNAMFALESAPNLRALAEVATQTVRELTGFDRVMLYKFAPDATGEVIAEARREGLHAFLGHRFPASHIPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQYLRNMGVGSSLSVSVVVGGQLWGLIACHHQTPYVLPPDLRTTLESLGRLLSLQVQVKEALEPLPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQMSLNAATFLGQEPTVLRGQTLAALLPEQWPALQAALPPGCPDALQYRATLDWPAAGHLSLTVHRVGELLILEFEPTETGPHALRNAMFALESAPNLRALAEVATQTVRELTGFDRVMLYKFAPDATGEVIAEARREGLHAFLGHRFPASHIPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQYLRNMGVGSSLSVSVVVGGQLWGLIACHHQTPYVLPPDLRTTLESLGRLLSLQVQVKEALEPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQMSLNAATFLGQEPTVLRGQTLAALLPEQWPALQAALPPGCPDALQYRATLDWPAAGHLSLTVHRVGELLILEFEPTEHALRNAMSALESAPNLRALAEVATQTVRELTGFDRVMLYKFAPDATGEVIAEARREGLHAFLGHRFPASHIPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQFLRNMGVGSSLSVSVVVGGQLWGLIACHHQTPYVLPPDLRTTLEYLGRELSEQVQVKEALESSRRKWNKTGHAVRAIGRLSSLENVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKYTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKYTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNLPDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKYTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSQPNVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNLPDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMADSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSRRKWNKTGHAVRAIGRLSSLIANVYIMADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTDSSRRKWNKTGHAVRAIGRLSSKFNVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLGMDESKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYAQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITELYMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYAQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITELYMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYAQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITELYMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYAQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITELYMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYAQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITELYMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVTCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLLTTILMCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNHDSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVTCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVTCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVTCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVTCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITLMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITAAASMSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPAGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLSMSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEASTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPAGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLMSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLMSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLLITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRADMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLAHKSALITENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEACTEMLYPADGGLEGRSDMALKLVGGGHLICNLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGEELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRTDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLGEELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRTDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLGEELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRTDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLGEELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMLYPADGGLEGRTDMALKLVGGGHLICNFKTTYRSKKPAKNLKMPGVYYVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLHKSEVAHRFKDLGEENFKALVLIAFAQYLQQCPFEDHVKLVNEVTEFAKTVADESAENDKSLHTLFGDKLTVATLRETYGEMADAKQEPERNEFLQHKDDNPNLPRLVRPEVDVMTAFHDNEETFLKKYLYEIARRHPYFYAPELLFFAKRYKAAFTEQAADKAALLPKLDELRDEGKASSAKQRLKASLQKFGERAFKAWAVARLSQRFPKAEFAEVSKLVTDLTKVHTEHGDLLEADDRADLAKYIENQDSISSKLKEEKPLLEKSHIAEVENDEMPADLPSLAADFVESKDVKNYAEAKDVFLGMFLYEYARRHPDYSVVLLLRLAKTYETTLEKAAADPHEYAKVFDEFKPLVEEPQNLIKQNELFEQLGEYKFQNALLVRYTKKVPQVSTPTLVEVSRNLGKVGSKKHPEAKRMPAEDYLSVVLNQLVLHEKTPVSDRVTKTESLVNRRPFSALEVDETYVPKEFNAETFTFHADITLSEKERQIKKQTALVELVKHKPKATKEQLKAVMDDFAAFVEKKETFAEEGKKLVAASQAALGHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMVDSSRRKWNKTGHAVRAIGRLSSAINTEMMYPADGGLRGYTHMALKVDGGGHLSCSFVTTYRSKKTVGNIKMPGIHYVSHRLERLEESDNEMFVVQREHAVAKFVGLGGGGGTGGSMNSLIKENMRMKVVLEGSVNGHQFKCTGEGEGNPYMGTQTMRIKVIEGGPLPFAFDILATSSRTFIKYPKGIPDFFKQSFPEGFTWERVTRYEDGGVITVMQDTSLEDGCLVYHAQVRGVNFPSNGAVMQKKTKGWEPTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLIMMARKEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSLIKENMRMKVVLEGSVNGHQFKCTGEGEGNPYMGTQTMRIKVIEGGPLPFAFDILATSFSRTFIKYPKGIPDFFKQSFPEGFTWERVTRYEDGGVITVMQDTSLEDGCLVYHAQVRGVNFPSNGAVMQKKTKGWEPNTEMMYPADGGLRGYTHMALKVDGGGHLSCSFVTTYRSKKTVGNIKMPGIHAVSHRLERLEESDNEMFVVQREHAVAKFLIKENMRMKVVLEGSVNGHQFKCTGEGEGNPYMGTQTMRIKVIEGGPLPFAFDILATSFSRTFIKYPKGIPDFFKQSFPEGFTWERVTRYEDGGVITVMQDTSLEDGCLVYHAQVRGVNFPSNGAVMQKKTKGWEPNTEMMYPADGGLRGYTHMALKVDGGGHLSCSFVTTYRSKKTVGNIKMPGIHAVSHRLERLEESDNEMFVVQREHAVAKFALIKENMRMKVVLEGSVNGHQFKCTGEGEGNPYMGTQTMRIKVIEGGPLPFAFDILATSFSRTFIKYPKGIPDFFKQSFPEGFTWERVTRYEDGGVITVMQDTSLEDGCLVYHAQVRGVNFPSNGAVMQKKTKGWEPNTEMMYPADGGLRGYTHMALKVDGGGHLSCSFVTTYRSKKTVGNIKMPGIHAVSHRLERLEESDNEMFVVQREHAVAKFAGLGGGELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATFGGSADLEDNMETLNDNLKVIEKADNAAQVKDALTKMRAAALDAQKATPPKLEDKSPDSPEMKDFRHGFDILVGQIDDALKLANEGKVKEAQAAAEQLKTTRNAYHQKYRGGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATFGGSADLEDNMETLNDNLKVIEKADNAAQVKDALTKMRAAALDAQKATPPKLEDKSPDSPEMKDFRHGFDILVGQIDDALKLANEGKVKEAQAAAEQLKTTRNAYHQKYRGGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATFGGSADLEDNMETLNDNLKVIEKADNAAQVKDALTKMRAAALDAQKATPPKLEDKSPDSPEMKDFRHGFDILVGQIDDALKLANEGKVKEAQAAAEQLKTTRNAYHQKYRGGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKSKGEELFAGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPFPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHCLSTQTVLSKDPNEKRDHMVLLEFVTAAGIKSKGEELFAGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPFPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHCLSTQTVLSKDPNEKRDHMVLLEFVTAAGIQYQVGPLLGSGGFGSVYSGIRVSDNLPVAIKHVEKDRISDWGELTRVPMEVVLLKKVSSGFSGVIRLLDWFERPDSFVLILERPEPVQDLFDFITERGALQEELARSFFWQVLEAVRHCHNCGVLHRDIKDENILIDLNRGELKLIDFGSGALLKDTVYTDFDGTRVYSPPEWIRYHRYHGRSAAVWSLGILLYDMVCGDIPFEHDEEIIRGQVFFRQRVSSECQHLIRWCLALRPSDRPTFEEIQNHPWMQDVLLPQETAEIHLHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSFQSALSKDPNEKRDHMVLLEFVTAAGITLGMMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGISQLHQVQCPVCQQMMPAAHINSHLDRCLLLHPAGMQIFVKTLTGKTITLEVEPSDTIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGGSVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVASVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAMSVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVASVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPSSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVAVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNGYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNGSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGITMVDAFLGTWKLVDSKNFDDYMKSLGVGFATRQVASMTKPTTIIEKNGDILTLKTHSTFKNTEISFKLGVEFDETTADDRKVKSIVTLDGGKLVHLQKWDGQETTLVRELIDGKLILTLTHGTAVCTRTYEKEMVDAFLGTWKLVDSKNFDDYMKSLGVGFATRQVASMTKPTTIIEKNGDILTLKTHSTFKNTEISFKLGVEFDETTADDRKVKSIVTLDGGKLVHLQKWDGQETTLVRELIDGKLILTLTHGTAVCTRTYEKEMVDAFLGTWKLVDSKNFDDYMKSLGVGFATRQVASMTKPTTIIEKNGDILTLKTHSTFKNTEISFKLGVEFDETTADDRKVKSIVTLDGGKLVHLQKWDGQETTLVRELIDGKLILTLTHGTAVCTRTYEKEMVDAFLGTWKLVDSKNFDDYMKSLGVGFATRQVASMTKPTTIIEKNGDILTLKTHSTFKNTEISFKLGVEFDETTADDRKVKSIVTLDGGKLVHLQKWDGQETTLVRELIDGKLILTLTHGTAVCTRTYEKEEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTDHVCQREVAYAHSVPRIEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTDHVCQREVAYAHSVPRISEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTDKRDHVCQREVAYAHSVPREVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTDHVCQREVAYAHSVPRIEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTDHVCQREVAYAHSVPRIEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTRRDHVCQREVAYAHSVPEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTRRDHVCQREVAYAHSVPRIEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTDHVCQREVAYAHSVPRISSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNLPDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKGSYRDTEEEIREAFGVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNLPDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKGSYRDTEEEIREAFGVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYFSDNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYKSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSELSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTMAFNRVFAKYPENIVDYFKQSFPEGYSWERSMIYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWELSTEKLYVRDGVLKSDGNYALSLEGGGHYRCDFKTTYKAKKVVQLPDYHSVDHHIEIKSHDKDYSNVNLHEHAEAHSGKPVWAPHPTDGFQVGNIVDIGPDSLTIEPLKTFLALINQVFPAEEDSKKDVEDNCSLMYLNEATLLHNIKVRYSKDRIYTYVANILIAVNPYFDIPKIYSSETIKSYQGKSLGTMPPHVFAIADKAFRDMKVLKLSQSIIVSGESGAGKTENTKFVLRYLTESYGTIDDRIVEANPLLEAFGNAKTVRNNNSSRFGKFVEIHFNEKSSVVGGFVSHYLLEKSRICVQGKEERNYHIFYRLCAGASEDIRERLHLSSPDNFRYLNRGCTRYFANKETDKQILQNRKSPEYLKAGSLKDPLLDDHGDFIRMCTAMKKIGLDDEEKLDLFRVVAGVLHLGNIDFEECNLKNKSTQALEYCAELLGLDQDDLRVSLTTRVKVPLKVEQANNARDALAKTVYSHLFDHVVNRVNQCFPFETSSYFIGVLDIAGFEYFEHNSFEQFCINYCNEKLQQFFNERILKEEQELYQKEGLGVNEVHYVDNQDCIDLIEARLVGILDILDEENRLPQPSDQHFTSAVHQKHKDHFRLSIPRKSKLAIHRNIRDDEGFIIRHFAGAVCYETTQFVEKNNDALHMSLESLICESRDKFIRELFESFISVGNKFKTQLNLLLDKLRSTGASFIRCIKPNLKMTSHHFEGAQILSQLQCSGMVSVLDLMQGGFPSRASFHELYNMYKKYMPDKLARLDPRLFCKALFKALGLNEIDYKFGLTKVFFRPGKFAEFDQIMKSDPDHLAELVKRVNHWLICSRWKKVQWCSLSVIKLKNKIKYRAEAVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMRQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSYQSALSKDPNEKRDHMVLLEFVTAAGTEEQIAEFKEAFSLFDKDGDGTELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKDSEEEIREAFRVFDKDGNGFISAAELRHVMTTDEEVDEMIREADIDGDGQVNYEEFVTMMTKETAAAKFERQHMDSSTSAASSSNYNQMMKSRNLTKDRKPVNTFVHESLADVQAVSQKNVAKNGQTNYQSYSTMSITDRETGSSKYPNAYKTTQANKHIIVAEGNPYVPVHFDASVGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISDNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISDNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNAHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVQREVAYAHSVPRITSEGGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNAHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTVVSRITVNCDGFQPDGPIMRDQLVDILPNETHMFPHGPNAVRQLAFIGFTTADGGLMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAYAHSVPRITSAIMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISGNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFLTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITASTKKLSESLKRIGDELDSNMELQRMIAAVDTDSPREVFFRVAADMFSDGNFNWGRVVALFYFASKLVLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITASTKKLSESLKRIGDELDSNMELQRMIAAVDTDSPREVFFRVAADMFSDGNFNWGRVVALFYFASKLVLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITASTKKLSESLKRIGDELDSNMELQRMIAAVDTDSPREVFFRVAADMFSDGNFNWGRVVALFYFASKLVLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITASTKKLSESLKRIGDELDSNMELQRMIAAVDTDSPREVFFRVAADMFSDGNFNWGRVVALFYFASKLVLPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQVSLNAATFLGQEPTVLRGQTLAALLPDQWPALQTALPPGCQDALQYRATLDWPAAGHLSLTVHRVAELLILEFEPTHALRNAMFALESAPNLRALAEVATQTVRELSGFDRVMLYKFAPDATGEVIAEARREGMQAYLGHRFPASTTPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQYLRNMGVGSSLSVSVVVGGQLWGLIVCHHQTPYVLPPDLRTTLEYLGRLLSLQVQRKELPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLLPTTHEVHVYGSINGVEFDLVGSGKGNPKDGSEEIQVKSTKGPLGFSPYIVVPNIFHQYLPFPDGMSPFQAAADDGSGYVVHRTIQFEDGASLTGNYRYSYDGGHIKGEFHVVGSGFPADGPVMTKSLTAVDWSVATMLFPNDTTVVSTIDWTCPTTSGKRYHATLRTNYTFAKPIAATILQKQPMFVFRKTEVKASDAEINLKEWQKAFHDLPLPATHDIHLHGSINGHEFDMVGGGKGDPNAGSLVTTAKSTKGALKFSPYLMIPHLYYQYLPYPDGPSPFQVSMLEGSGYAVYRVFDFEDGGKLSTEFKYSYEGSHIKADMKLMGSGFPDDGPVMTSQIVDQDGCVSKKTYLNNNTIVDSFDWSYNLQNGKRYRARVSSHYIFDKPFKQPVFVYRKCHVKATKTEVTLDEREKAFYELAPLPATHDIHLHGSINGHEFDMVGGGKGDPNAGSLVTTAKSTKGALKFSPYLMIPHLYYQYLPYPDGPSPFQVSMLEGSGYAVYRVFDFEDGGKLSTEFKYSYEGSHIKADMKLMGSGFPDDGPVMTSQIVDQDGCVSKKTYLNNNTIVDSFDWSYNLQNGKRYRARVSSHYIFDKPFSADLMKKQPVFVYRKCHVKATKTEVTLDEREKAFYELSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARSSLLPSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARSSLLPMTAASVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARSSLLPMTSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARSSLLPSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARYSMLPRQVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARYSMLPRQAKSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARYSMLPRQSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFTKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTATSDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHRIEILSHDKDYNNVKLYEHAVARYSMLPRQAIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTAFNRVFAKYPKDIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLMGDVNMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFYEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLPVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLELISENMHMKLYMEGTVNGHHFKCTSEGEGKPYEGTQTAKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDELISENMHMKLYMEGTVNGHHFKCTSEGEGKPYEGTQTAKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEASTEMLYPADSGLRGHSQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDELISENMHTKLYMEGTVNGHHFKCTSEGEGKPYEGTQTCKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEANTEMLYPADSGLRGHNQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDELISENMHTKLYMEGTVNGHHFKCTSEGEGKPYEGTQTCKIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERITTYEDGGVLTATQDTSLQNGCLIYNVKINGVNFPSNGPVMQKKTLGWEANTEMLYPADSGLRGHNQMALKLVGGGYLHCSLKTTYRSKKPAKNLKMPGFYFVDRKLERIKEADKETYVEQHEMAVARYCDIEKNFVISDPRLPDNPIIFASDSFLELTEYSREEILGRNCRFLQGPETDQATVQKIRDAIRDQREITVQLINYTKSGKKFWNLFHLQPMRDQKGELQYFIGVQLDGSDHVEKNFVISDPRLPDNPIIFASDSFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQREITVQLINYTKSGKKFWNLFHLQPMRDQKGELQYFIGVQLDGSIEKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFIGVQLDGSDHVFIEKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFIGVQLDGSDHVEKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFIGVQLDGSDFIEKSFVITDPRLPDYPIIFASDGFLELTEYSREEIMGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDRKGGLQYFIGVQLVGSDSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTENLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSEVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTENLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTENLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTENLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSESVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTENLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTENLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAIHGNVYITADKQKNGIKANFGLNCNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLGMDELYKKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAIHGNVYITADKQKNGIKANFGLNCNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLSGPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKDQARMPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNPPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSSGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNPCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSSGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNPCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNAVQLSELRDRQAIFETLVAKGRELLACDRVIVYAFDDNYVGTVVAESVAEGWPQARDQVIEDPCFREHWVEAYRQGRIQATTDIFKAGLTECHLNQLRPLKVRANLVVPMVIDDQLFGLLIAHQASEPRQWQEIEIDQFSELASTGSLVLERLHFLEQTIASLHHHHHSKGEALFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFYGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGAELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFYGVQCFSRYPDHMKAHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIALKGIDFKEAGNILGHKLEYNYNSHNVITADKQKNGIKANFKIRHNIADGSVQLADHYQQNTPIGAGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDEAYALEHHHHHHELRDRQAIFETLVAKGRELLACDRVIVYAFDDNYVGTVVAESVAEGWPQARDQVIEDPCFREHWVEAYRQGRIQATTDIFKAGLTECHLNQLRPLKVRANLVVPMVIDDQLFGLLIAHQASEPRQWQEIEIDQFSELASTGSLVLERLHSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLPVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLPRQSVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLPVIKSDMKIKLRMEGTVNGHKFVIEGEGEGKPYEGTQTMNLKVKEGAPLPFAYDILTTVFNRVFAKYPKHIPDYFKQSFPEGYSWERSMTFEDGGICTARNDITLEGDCFFNEIRFDGVNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLTGDINMALLLEGGGHYRCDFKTTYKAKKGVQLPDYHFVDHCIEILSHDKDYNNVKLYEHAVAHSGLPRSPEFEFEEITLERGNSGLGFSIAGGTDNPHIGDDPGIFITKIIPGGAAAEDGRLRVNDCILRVNEVDVSEVSHSKAVEALKEAGSIVRLYVRRRRPILGTSISPEFEFEEITLERGNSGLGFSIAGGTDNPHIGDDPGIFITKIIPGGAAAEDGRLRVNDCILRVNEVDVSEVSHSKAVEALKEAGSIVRLYVRRRRPILGTSIVIKEFMRFKPHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSVIKEFMRFKPHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKGGHYDAEVKTTYMAKKPVQLPGAYKTDIKLDITSHNEDYTIVEQYERAEGRHSEVIKEFMRFKAHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKADYKLDITSHNEDYTIVEQYERCEGREVIKEFMRFKAHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKADYKLDITSHYTIVEQYERCEGRHSVIKEFMRFKEHMEGSVNGHEFEIEGEGEGRPYEGTQTARLKVTKGGPLPFAWDILSPQISKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKVRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEMKMRLRLKDGGHYDAEVKTTYMAKKPVQLPGAYKADYKLDITSHNEDYTIVEQYERCEGRHSNIVTLTRFVMEEGRKARGTGEMTQLLNSLCTAVKAISTAVRKAGIAHLYGIAGSKKLDVLSNDLVINVLKSSFATCVLVSEEDKNAIIVEPEKRGKYVVCFDPLDGSSNIDCLVSIGTIFGIYRKNSTDEPSEKDALQPGRNLVAAGYALYGSATMLVLAMVNGVNCFMLDPAIGEFILVDRDVKIKKKGSIYSINEGYAKEFDPAITEYIQRKKFPPDNSAPYGARYVGSMVADVHRTLVYGGIFMYPANKKSPKGKLRLLYECNPMAYVMEKAGGLATTGKEAVLDIVPTDIHQRAPIILGSPEDVTELLEIYQKHAMVSKGEELFGGIVPILVELEGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSVMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKARHNITDGSVQLADHYQQNTPIGDGPVILPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIMVSKGEELFGGIVPILVELEGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSVMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKARHNITDGSVQLADHYQQNTPIGDGPVILPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIGSSGALLFHGKIPYVVEMEGNVDGHTFSIRGKGYGDASVGKVDAQFICTTGDVPVPWSTLVTTLAQCFAKYGPELKDFYKSCMPDGYVQERTITFEGDGNFKTRAEVTFENGSVYNRVKLNGQGFKKDGHVLGKNLEFNFTPHCLYIWGDQANHGLKSAFKICHEITGSKGDFIVADHTQMNTPIGGGPVHVPEYHHMSYHVKLSKDVTDHRDNMSLKETVRAVDCRKTYDGSSGALLFHGKIPYVVEMEGNVDGHTFSIRGKGYGDASVGKVDAQFICTTGDVPVPWSTLVTTLAQCFAKYGPELKDFYKSCMPDGYVQERTITFEGDGNFKTRAEVTFENGSVYNRVKLNGQGFKKDGHVLGKNLEFNFTPHCLYIWGDQANHGLKSAFKICHEITGSKGDFIVADHTQMNTPIGGGPVHVPEYHHMSYHVKLSKDVTDHRDNMSLKETVRAVDCRKTYDSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPRMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPRVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPRVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTANRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPRVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTANRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTANRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTANRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTANRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTANRVFAKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPRSLLPATHELHIFGSINSLEFDLVGRGTGNPKEGYEELHLKSTKSALQFSPWILVPQIFYQYLPFPDGAMSPFQAAMNDGSGYQVHRTMQFEDGATLTGIYRYTYEGTHIKGEFQVIGTGFPADGPVMTNSLTAADWCVTKIVYPNENTIIDKFDWTYTTTSGKRYQSNVRSNFTFAKPIAANILQKQPMFVFRKTELKHSKTELNFKEWQTAFSDVMSLLPATHELHIFGSINSLEFDLVGRGTGNPKEGYEELHLKSTKSALQFSPWILVPQIFYQYLPFPDGAMSPFQAAMNDGSGYQVHRTMQFEDGATLTGIYRYTYEGTHIKGEFQVIGTGFPADGPVMTNSLTAADWCVTKIVYPNENTIIDKFDWTYTTTSGKRYQSNVRSNFTFAKPIAANILQKQPMFVFRKTELKHSKTELNFKEWQTAFSDVMSLLPATHELHIFGSINSLEFDLVGRGTGNPKEGYEELHLKSTKSALQFSPWILVPQIFYQYLPFPDGAMSPFQAAMNDGSGYQVHRTMQFEDGATLTGIYRYTYEGTHIKGEFQVIGTGFPADGPVMTNSLTAADWCVTKIVYPNENTIIDKFDWTYTTTSGKRYQSNVRSNFTFAKPIAANILQKQPMFVFRKTELKHSKTELNFKEWQTAFSDVMHHHHHHGSLLPATHELHIFGSINSLEFDLVGRGTGNPKEGYEELHLKSTKSALQFSPWILVPQIFYQYLPFPDGAMSPFQAAMNDGSGYQVHRTMQFEDGATLTGIYRYTYEGTHIKGEFQVGTGFPADGPVMTNSLTAADWCVTKIVYPNENTIIDKFDWTYTTTSGKRYQSNVRSNFTFAKPIAANILQKQPMFVFRKTELKHSKTELNFKEWQTAFSDVMSRRKWNKAGHAVRAIGRLSSPVVSERMYPEDGALKSEIKKGLRLKDGGHYAAEVKTTYKAKKPVQLPGAYIVDIKLDIVSHNEDYTIVEQCERAEGRHAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEAFQTAKLKVTKGGPLPFAWDILSPQFSKAYIKHPADIPDYFKLSFPEGFRWERVMNFEDGGIIHVNQDSSLQDGVFIYKVKLRGTNFPPDGPVMQKKTMGWEATRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTFDFPEFLTMMARKMNDTDSEEEIREAFRVFDKDGNGYIGAAELRHVMTDLGEKLTDEEVDEMIRVADIDGDGQVNYEEFVQMMRKWNKAGHAVRAIGRLSSPVVSERMYPEDGALKSEIKKGLRLKDGGHYAAEVKTTYKAKKPVQLPGAYIVDIKLDIVSHNEDYTIVEQCERAEGRHSAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEAFQTAKLKVTKGGPLPFAWDILSPQFSKAYIKHPADIPDYFKLSFPEGFRWERVMNFEDGGIIHVNQDSSLQDGVFIYKVKLRGTNFPPDGPVMQKKTMGWEATRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTFDFPEFLTMMARKMNDTDSEEEIREAFRVFDKDGNGYIGAAELRHVMTDLGETDEEVDEMIRVADIDGDGQVNYEEFVQMMMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIENGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIENGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIENGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIENGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIENGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIENGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRAMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIEQGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIEQGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIEAGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIEAGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIEAGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATEMVEKFVGTWKIADSHNFGEYLKAIGAPKELSDGGDATTPTLYISQKDGDKMTVKIEAGPPTFLDTQVKFKLGEEFDEFPSDRRKGVKSVVNLVGEKLVYVQKWDGKETTYVREIKDGKLVVTLTMGDVVAVRSYRRATERRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKYTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTVDSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTDSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTSSRRKWNKTGHAVRAIGRLSSLENVYIKADKQKNGIKANFKIRHNIEDGGVQLAYHYQQNTPIGDGPVLLPDNHYLSVQSKLSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYIQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNTRDQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMTMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTAFNRVFTKYPENIVDYFKQSFPEGYSWERSMSYEDGGICIATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNMALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGLPMTKWNYGVFFLNFYHVGQQEPSLTMSNALETLRIIDEDTSIYDVVAFSEHHIDKSETKLAPFVSLGKQIHILATSPETVVKAAKYGMPLLFKWDDSQQKRIELLNHYQAAAAKFNVDIAGVRHRLMLFVNVNDNPTQAKAELSIYLEDYLSYTQAETSIDEIINSNAAGNFDTCLHHVAEMAQGLNNKVDFLFCFESMKDQENKKSLMINFDKRVINYRKEHNLNSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHVSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITMVSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITSVIKQEMKIKLHMEGNVNGHAFVIEGDGKGKPYDGTQTLNLTVKEGAPLPFSYDILTAAFNRAFTRYPADIPDYFKQTFPEGYSWERTMSYEDNAICNVRSEISMEGDCFTYKIRFDGKNFPPNGPVMQKKTLKWEPSTEKMYVRDGFLMGDVNMALLLDGGGHHRCDFKTSYKAKKVVQLPDYHFVDHRNEILSHDRDYSKVKLYENAVARYSLLPSQASVIKQEMKIKLHMEGNVNGHAFVIEGDGKGKPYDGTQTLNLTVKEGAPLPFSYDILTAAFNRAFTRYPADIPDYFKQTFPEGYSWERTMSYEDNAICNVRSEISMEGDCFTYKIRFDGKNFPPNGPVMQKKTLKWEPSTEKMYVRDGFLMGDVNMALLLDGGGHHRCDFKTSYKAKKVVQLPDYHFVDHRNEILSHDRDYSKVKLYENAVARYSLLPSQASVIKQEMKIKLHMEGNVNGHAFVIEGDGKGKPYDGTQTLNLTVKEGAPLPFSYDILTAAFNRAFTRYPADIPDYFKQTFPEGYSWERTMSYEDNAICNVRSEISMEGDCFTYKIRFDGKNFPPNGPVMQKKTLKWEPSTEKMYVRDGFLMGDVNMALLLDGGGHHRCDFKTSYKAKKVVQLPDYHFVDHRNEILSHDRDYSKVKLYENAVARYSLLPSQSVIKQEMKIKLHMEGNVNGHAFVIEGDGKGKPYDGTQTLNLTVKEGAPLPFSYDILTAAFNRAFTRYPADIPDYFKQTFPEGYSWERTMSYEDNAICNVRSEISMEGDCFTYKIRFDGKNFPPNGPVMQKKTLKWEPSTEKMYVRDGFLMGDVNMALLLDGGGHHRCDFKTSYKAKKVVQLPDYHFVDHRNEILSHDRDYSKVKLYENAVARYSLLPSQASVIKQEMKIKLHMEGNVNGHAFVIEGDGKGKPYDGTQTLNLTVKEGAPLPFSYDILTAAFNRAFTRYPADIPDYFKQTFPEGYSWERTMSYEDNAICNVRSEISMEGDCFTYKIRFDGKNFPPNGPVMQKKTLKWEPSTEKMYVRDGFLMGDVNMALLLDGGGHHRCDFKTSYKAKKVVQLPDYHFVDHRNEILSHDRDYSKVKLYENAVARYSLLPSQASVIKQEMKIKLHMEGNVNGHAFVIEGDGKGKPYDGTQTLNLTVKEGAPLPFSYDILTAAFNRAFTRYPADIPDYFKQTFPEGYSWERTMSYEDNAICNVRSEISMEGDCFTYKIRFDGKNFPPNGPVMQKKTLKWEPSTEKMYVRDGFLMGDVNMALLLDGGGHHRCDFKTSYKAKKVVQLPDYHFVDHRNEILSHDRDYSKVKLYENAVARYSLLPSQASPLPATHDLHISGSINGHEFDLEGSGKGNAKEGYQELHLKSNKGDLSFSPWILVPNIFYQYLPFPDGAMSPYQAAMHDGSGYVMHRSMQFEDGAMLHSDHRYIYKGNHIKGEFRLTGSGFPADGPVMTNSLTAADWCVDKLLYPNDNTIIGKFDWTYTTTSGKRYQSDVQTNVTFGKPIAADILKKQPMFVFRKVELKHTKTELNFKQWQKAFQDIASPLPATHDLHISGSINGHEFDLEGSGKGNAKEGYQELHLKSNKGDLSFSPWILVPNIFYQYLPFPDGAMSPYQAAMHDGSGYVMHRSMQFEDGAMLHSDHRYIYKGNHIKGEFRLTGSGFPADGPVMTNSLTAADWCVDKLLYPNDNTIIGKFDWTYTTTSGKRYQSDVQTNVTFGKPIAADILKKQPMFVFRKVELKHTKTELNFKQWQKAFQDIASPLPATHDLHISGSINGHEFDLEGSGKGNAKEGYQELHLKSNKGDLSFSPWILVPNIFYQYLPFPDGAMSPYQAAMHDGSGYVMHRSMQFEDGAMLHSDHRYIYKGNHIKGEFRLTGSGFPADGPVMTNSLTAADWCVDKLLYPNDNTIIGKFDWTYTTTSGKRYQSDVQTNVTFGKPIAADILKKQPMFVFRKVELKHTKTELNFKQWQKAFQDISPLPATHDLHISGSINGHEFDLEGSGKGNAKEGYQELHLKSNKGDLSFSPWILVPNIFYQYLPFPDGAMSPYQAAMHDGSGYVMHRSMQFEDGAMLHSDHRYIYKGNHIKGEFRLTGSGFPADGPVMTNSLTAADWCVDKLLYPNDNTIIGKFDWTYTTTSGKRYQSDVQTNVTFGKPIAADILKKQPMFVFRKVELKHTKTELNFKQWQKAFQDIAGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHSPLPATHDLHISGSINGHEFDLEGSGKGNAKEGYQELHLKSNKGDLSFSPWILVPNIFYQYLPFPDGAMSPYQAAMHDGGYVMHRSMQFEDGAMLHSDHRYIYKGNHIKGEFRLTGSGFPADGPVMTNSLTAADWCVDKLLYPNDNTIIGKFDWTYTTTSGKRYQSDVQTNVTFGKPIAADILKKQPMFVFRKVELKHTKTELNFKQWQKAFQDISPLPATHDLHISGSINGHEFDLEGSGKGNAKEGYQELHLKSNKGDLSFSPWILVPNIFYQYLPFPDGAMSPYQAAMHDGGYVMHRSMQFEDGAMLHSDHRYIYKGNHIKGEFRLTGSGFPADGPVMTNSLTAADWCVDKLLYPNDNTIIGKFDWTYTTTSGKRYQSDVQTNVTFGKPIAADILKKQPMFVFRKVELKHTKTELNFKQWQKAFQDIAHMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIAAARNLQDDLQDFLALIPVDQIIAIATDYLANDAEVQAAVAYLQSDEFETIVVALDALPELQNFLNFLEANGLNAIDFLNGIHHIRRGVGITGLIDDVLAILPIEDLKALFNEKLETSPDFLALYNAIRSPEFQSIVQTLNAMPEYQNLLQKLREKGVDVDKIIELIRALFAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLSQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLQAVVTQEPSVTVSPGGTVILTGSSTGAVTSGHYANWFQQKPGQAPRALIFETDKKYSWTPGRFSGSLLGAKAALTISDAQPEDEAEYYSLSDVDGYLFGGGTQLTVLVSKEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLGMKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAGITLAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTNGWEASTERMYPEDGALKGEINQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVLKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVLNMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTMGWEASTERMYPEDGALKGEINQRLKLKDDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITDASGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTNMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGHPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFTWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLLGTNFPSDGPVMQKKTMGWEASTERMYPEDGALKGEINQRLKLKDDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITDASGGHYDAEVKTTYKAKKPVQLPGAYNVDIKLDITSHNEDYTIVEQYERAEGRHSTELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMMYPADGGLEGRNYMALKLVGGGHLICSLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLGELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMMYPADGGLEGRNYMALKLVGGGHLICSLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMMYPADGGLEGRNYMALKLVGGGHLICSLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEANTEMMYPADGGLEGRNYMALKLVGGGHLICSLKTTYRSKKPAKNLKMPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSRTFINHTQGIPDFWKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFPSNGPVMQKKTLGWEAATEMLYPADGGLEGRGDMALKLVGGGHLICNLKTTYRSKNPAKNLKMPGVYFVDHRLERIKEADKETYVEQHEVAVARYCDLPSKLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHHKVYITADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLHTHSKLSKDPNEKRDHMVLLEFVTAAGITLGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHHKVYITADKQKNGIKVNFKTRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLHTHSKLSKDPNEKRDHMVLLEFVTAAGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNHHKVYITADKQKNGIKVNFKTRHNIVQLADHYQQNTPIGDGPVLLPDNHYLHTHSKLSKDPNEKRDHMVLLEFVTAAGITCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNPCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNEHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLDTESALSKDPNEKRDHMVLLEEVEAAGITLMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNEHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLDTESALSKDPNEKRDHMVLLEEVEAAGITLMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNEHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLDTESALSKDPNEKRDHMVLLEEVEAAGICPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSSGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNPCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNPCPLMVKVLDAVRGSPAINVAVHVFRKAADDTWEPFASGKTSESGELHGLTTEEEFVEGIYKVEIDTKSYWKALGISPFHEHAEVVFTANDSGPRRYTIAALLSPYSYSTTAVVTNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITALLLEGNAHYRDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITALLLEGNAHYRDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITALLLEGNAHYRDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNLESQYQVGPLLGSGGFGSVYSGIRVSDNLPVAIKHVEKDRISDWGETRVPMEVVLLKKVSSGFSGVIRLLDWFERPDSFVLILERPEPVQDLFDFITERGALQEELARSFFWQVLEAVRHCHNCGVLHRDIKDENILIDLNRGELKLIDFGSGALLKDTVYTDFDGTRVYSPPEWIRYHRYHGRSAAVWSLGILLYDMVCGDIPFEHDEEIIRGQVFFRQRVSSECQHLIRWCLALRPSDRPTFEEIQNHPWMQDVLLPQETAEIHLHESQYQVGPLLGSGGFGSVYSGIRVSDNLPVAIKHVEKDRISDWGEVPMEVVLLKKVSSGFSGVIRLLDWFERPDSFVLILERPEPVQDLFDFITERGALQEELARSFFWQVLEAVRHCHNGVLHRDIKDENILIDLNRGELKLIDFGSGALLKDTVYTDFDGTRVYSPPEWIRYHRYHGRSAAVWSLGILLYDMVCGDIPFEHDEEIIRGQVFFRQRVSSECQHLIRWCLALRPSDRPTFEEIQNHPWMQDVLLPQETAEIHLHSQYQVGPLLGSGGFGSVYSGIRVSDNLPVAIKHVEKDRISDWGETRVPMEVVLLKKVSSGFSGVIRLLDWFERPDSFVLILERPEPVQDLFDFITERGALQEELARSFFWQVLEAVRHCHNCGVLHRDIKDENILIDLNRGELKLIDFGSGALLKDTVYTDFDGTRVYSPPEWIRYHRYHGRSAAVWSLGILLYDMVCGDIPFEHDEEIIRGQVFFRQRVSSECQHLIRWCLALRPSDRPTFEEIQNHPWMQDVLLPQETAEIHLASKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPAPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGASKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPGPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGASKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPGPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHASKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPGPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITASKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPGPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITRIIVVALYDYEAIHHEDLSFQKGDQMVVLEESGEWWKARSLATRKEGYIPSNYVARLETEEWFFKGISRKDAERQLLAPGNMLGSFMIRDSETTKGSYSLSVRDYDPRQGDTVKHYKIRTLDGFYISPRSTFSTLQELVDHYKKGNDGLCQKLSVPCMSSKPQKPWEKDAWEIPRESLKLEKKLGAGQFGEVWMATYNKHTKVAVKTMKPSVEAFLAEANVMKTLQHDKLVKLHAVVTKEPIYIITEFMAKGSLLDFLKSDEGSKQPLPKLIDFSAQIAEGMAFIEQRNYIHRDLRAANILVSASLVCKIADFGLARVIPIKWTAPEAINFGSFTIKSDVWSFGILLMEIVTYGRIPYPGMSNPELERGYRMPRPENCPEELYNIMMRCWKNRPEERPTFEYIQSVLDDFYTATESQEEIPRIIVVALYDYEAIHHEDLSFQKGDQMVVLEESGEWWKARSLATRKEGYIPSNYVARVDSLETEEWFFKGISRKDAERQLLAPGNMLGSFMIRDSETSYSLSVRDYDPRQGDTVKHYKITLQELVDHYKKGNDGLCQKLSVPCMSSKPQKPWEKDAWEIPRESLKLEKKLGAGQFGEVWMATYNKHTKVAVKTMKPGSVEAFLAEANVMKTLQHDKLVKLHAVVTKEPIYIITEFMAKGSLLDFLKSDEGSKQPLPKLIDFSAQIAEGMAFIEQRNYIHRDLRAANILVSASLVCKIADFGLARVIPIKWTAPEAINFGSFTIKSDVWSFGILLMEIVTYGRIPYPGMSNPEVIRALERGYRMPRPENCPEELYNIMMRCWKNRPEERPTFEYIQSVLDDFYTATESQEERIIVVALYDYEAIHHEDLSFQKGDQMVVLEESGEWWKARSLATRKEGYIPSNYVARVDSLETEEWFFKGISRKDAERQLLAPGNMLGSFMIRDSETTKGSYSLSVRDYDPRQGDTVKHYKIRTGFYISPRSTFSTLQELVDHYKKGNDGLCQKLSVPCMSSKPQKPWEKDAWEIPRESLKLEKKLGAGQFGEVWMATYNKHTKVAVKTMKPGSLAEANVMKTLQHDKLVKLHAVVTKEPIYIITEFMAKGSLLDFLKSDEGSKQPLPKLIDFSAQIAEGMAFIEQRNYIHRDLRAANILVSASLVCKIADFGLARVIPIKWTAPEAINFGSFTIKSDVWSFGILLMEIVTYGRIPYPGMSNPEVIRALERGYRMPRPENCPEELYNIMMRCWKNRPEERPTFEYIQSVLDDFYTATESQEEIRIIVVALYDYEAIHHEDLSFQKGDQMVVLEESGEWWKARSLATRKEGYIPSNYVARVDSLETEEWFFKGISRKDAERQLLAPGNMLGSFMIRDSETTKGSYSLSVRDYDPRQGDTVKHYKIRTGFYISPRSTFSTLQELVDHYKKGNDGLCQKLSVPCMSSKPQKPWEKDAWEIPRESLKLEKKLGAGQFGEVWMATYNKHTKVAVKTMKPLAEANVMKTLQHDKLVKLHAVVTKEPIYIITEFMAKGSLLDFLKSDEGSKQPLPKLIDFSAQIAEGMAFIEQRNYIHRDLRAANILVSASLVCKIADFGLARVIPIKWTAPEAINFTIKSDVWSFGILLMEIVTYGRIPYPGMSNPEVIRALERGYRMPRPENCPEELYNIMMRCWKNRPEERPTFEYIQSVLDDFYTATESQEEIEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAISNGDGFINERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGITEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAISNGDGFINERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAISNGDGFINERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGIELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAISNGDGFINERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGITEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAISNGDGFINERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGITKVFGRELAAAMKRHGLDNYRGYSLGNWVAAKFESNFNTQATNRNTDGSTDYGILQINSRWWNDGRTPGSRNLNIPSALLSSDITASVNAKKIVSDGNGMNAWVAWRNRKGTDVQAWIRGRLKVFGRELAAAMKRHGLDNYRGYSLGNWVAAKFESNFNTQATNRNTDGSTDYGILQINSRWWNDGRTPGSRNLNIPSALLSSDITASVNAKKIVSDGNGMNAWVAWRNRKGTDVQAWIRGRLKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIQVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIQVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITTEFSEEQKKALDLAFYFDRRLTEEWRRYLSQRLGLNEEQIERWFRRKEQQIMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPWPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSKLSKDPNEKRDHMVLLEFVTAAGITQKKALDLAFYFDRRLTPEWRRYLSQRLGLNEEQIERWFRRKEQQIMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPFPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSKLSKDPNEKRDHMVLLEFVTAAGQKKALDLAFYFDRRLTPEWRRYLSQRLGLNEEQIERWFRRKEQQIMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKLICTTGKLPVPFPTLVTTLLQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSYQSKLSKDPNEKRDHMVLLEFVTAAGIELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDEALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLELIKENMHMKLYMEGTVNNHHFKCTSEGEGKPYEGTQTMRIKVVEGGPLPFAFDILATSFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTATQDTSLQDGCLIYNVKIRGVNFTSNGPVMQKKTLGWEASTEMLYPADGGLEGRSDEALKLVGGGHLICNLKSTYRSKKPAKNLKVPGVYYVDRRLERIKEADKETYVEQHEVAVARYCDLPSKLMDEFEMIKRNTSEIISEEELREVLKKDEKSALIGFEPSGKIHLGHYLQIKKMIDLQNAGFDIIIILADLGAYLNQKGELDEIRKIGDYNKKVFEAMGLKAKYVYGSEILLDKDGTLNVYRLALKTTLKRARRSMELIAREDENPKVAEVIYPIMQVNSIHYMGVDVAVGGMEQRKIHMLARELLPKKVVCIHNPVLTGLDGEGKMSSSKGNFIAVDDSPEEIRAKIKKAYCPAGVVEGNPIMEIAKYFLEYPLTIKRPEKFGGDLTVNSYEELESLFKNKELHPMDLKNAVAEELIKILEPIRKRLAHHHHHHKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDGSDHVLKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDGKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDGKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDGSKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDGSDKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDGKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDEKNFVITDPRLPDNPIIFASDGFLELTEYSREEILGRNARFLQGPETDQATVQKIRDAIRDQRETTVQLINYTKSGKKFWNLLHLQPVRDQKGELQYFGVQLDDPLPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQVSLNAATFLGQEPTVLRGQTLAALLPEQWPALQAALPPGCPDALQYRATLDWPGHLSLTVHRVAELLILEFEPTEHALRNAMFALESAPNLRALAEVATQTVRELTGFDRVMLYKFAPDATGEMIAEARREGMQAFLGHRFPASHTPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQYLRNMGVGSSLSVSVVVGGQLWGLIVCHHQTPYVLPPDLRTTLEELGRKLSGQVQRKEALEKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSVQAALSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSVQAALSKDPNEKRDHMVLLEFVTAAGITHGAPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEAAPSKLGHPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEAAPSPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEAAPSKLGHPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAGKFYEQYESAVARYCPLVTEDMCIKMTMEGTINGHHFKCVGEGEGKPFEGTQVEKIRITEGGPLPFAYDILAPCCSKTFIKHVSGIPDYFKESFPEGFTWERTQIFEDGGSLTIHQDTSLQGNNFIFKVNVIGANFPANGPVMQKKTAGWEPSVEILYPRDGVLCGQALMALKCTDGDHLTSHLRTTYRSRKPSNAVNMPEFHFGDHRIEILKAEQGKFYEQYESAVARYCEELIKENMPMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFIKHPKGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALKLDGGGHLHCNLKTTYRSKKPAGNLKMPGVYFVDRRLERIKEADNETYVEQHEVAEARYCDLPSKLEELIKENMPMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFIKHPKGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALKLDGGGHLHCNLKTTYRSKKPAGNLKMPGVYFVDRRLERIKEADNETYVEQHEVAEARYCDLPSKLEELIKENMPMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFIKHPKGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALKLDGGGHLHCNLKTTYRSKKPAGNLKMPGVYFVDRRLERIKEADNETYVEQHEVAEARYCDLPSKLEELIKENMPMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFIKHPKGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALKLDGGGHLHCNLKTTYRSKKPAGNLKMPGVYFVDRRLERIKEADNETYVEQHEVAEARYCDLPSKLGEELIKENMHMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALLVGGGHLHCNLKTTYRSKPAKNLKMPGVYFVDRRLERIKEADNETYVEQHEVAVARYCDLPSKLGEELIKENMHMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALLVGGGHLHCNLKTTYRSKPAKNLKMPGVYFVDRRLERIKEADNETYVEQHEVAVARYCDLPSLIKENMHMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALLVGGGHLHCNLKTTYRSKPAKNLKMPGVYFVDRRLERIKEADNETYVEQHEVAVARYCDLPSKLSKGEELIKENMHMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALLVGGGHLHCNLKTTYRSKPAKNLKMPGVYFVDRRLERIKEADNETYVEQHEVAVARYCDLPSEELIKENMHMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPAGLEGRCDMALLVGGGLHCNLKTTYRSKPAKLKMPGVYFVDRRLERIKEATYVEQHEVAVARYCDLIKENMHMKLYMEGTVNNHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLPFAFDILATCFSKTFINHGIPDFFKQSFPEGFTWERVTTYEDGGVLTVTQDTSLQDGCLIYNVKLRGVNFPSNGPVMQKKTLGWEATTETLYPADGGLEGRCDMALLVGGGHLHCNLKTTYRSKPAKNLKMPGVYFVDRRLERIKEADNETYVEQHVAVARYCDLEELIKENMHMKLYMEGTVHHFKCTTEGEGKPYEGTQTQRIKVVEGGPLFAFDILATCFSKTFINHTQGIPDFFKQSFPEGFTWERVTTYEDGGVLVTQDTSLQDGCLIYNVKLRVNFPSNGPVMQKKTLGWEATTETLYLEGRCDMALLVGGGHLHCNLKTTYRSKPAKNLKMPGVYFVDRRLERIKEADNETYEQHEVAVARYCDLPSGEELIKENMHMKLYMEGTFKCTTEGEGKPYEGTQTQRIKVVEGGPFAFDILTCFSKTFINHTQGIPDFFKQSFPEGFTWERTTYEDGGVLTVDTSLQDGCLIYNFPSNGMQKKTLGWEATTETLYPADGGLEGRCDMALLVGHLHCNLKTTYRSKKNLKMPGVYFVDRERKEADNETYVEQHEVAVARYCDLPSKGEELFTGVVPILVEMDGDVNGRKFSVRGVGEGDATHGKLTLKFICTSGKLPVPWPTLVTTLVQFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGSYKTRAEVKFEGDTLVNRIVLKGTDFKEDGNILGHKLEYNMNVGNVYITADKQKNGIKANFEIRHNVEDGGVQLADHYQQNTPIGDGSVLLPDNHYLSVQVKLSKDPNEKRDHMVLLEFRTAAGITPGSKGEELFTGVVPILVEMDGDVNGRKFSVRGVGEGDATHGKLTLKFICTSGKLPVPWPTLVTTLVQFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGSYKTRAEVKFEGDTLVNRIVLKGTDFKEDGNILGHKLEYNMNVGNVYITADKQKNGIKANFEIRHNVEDGGVQLADHYQQNTPIGDGSVLLPDNHYLSVQVKLSKDPNEKRDHMVLLEFRTAAGITPGQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGDGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFNYEEFVQMMTAKLECEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLMVSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPYEGKQTMDLEVKEGGPLPFAFDILTTAFNRVFVKYPDNIQDYFKQSFPKGYSWERSMTFEDGGICYARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWMPSWTRSSRRKWNKTGKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLHFVTAAGITHVSVITSEMKIELRMEGAVNGHKFVITGKGSGQPFEGIQNVDLTVIEGGPLPFAFDILTTAFNRVFVEYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVNEIRFDGVNFPANGPVMQRKTVKWEPSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHSMEITSHDKDYNKVKLYEHAKAHSGLPRLASVITSEMKIELRMEGAVNGHKFVITGKGSGQPFEGIQNVDLTVIEGGPLPFAFDILTTAFNRVFVEYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVNEIRFDGVNFPANGPVMQRKTVKWEPSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHSMEITSHDKDYNKVKLYEHAKAHSGLPDSEMAVFGAAAPYLRKSEKERLEAQTRPFDLKKDVFVPDDKQEFVKAKIVSREGGKVTAETEGKTVTVKEDQVMQQNPPKFDKIEDMAMLTFLHEPAVLYNLKDRYGSWMIYTYSGLFCVTVNPYKWLPVYTPEVVAAYRGKKRSEAPPHIFSISDNAYQYMLTDRENQSILITGESGAGKTVNTKRVIQYFAVIAAIGDPGKGTLEDQIIQANPALEAFGNAKTVRNDNSSRFGKFIRIHFGATGKLASADIETYLLEKSRVIFQLKAERDYHIFYQILSNKKPELLDMLLITNNPYDYAFISQGETTVASIDDAEELMATDNAFDVLGFTSEEKNSMYKLTGAIMHFGNMKFKLKQEQAEPDGTEEADKSAYLMGLNSADLLKGLCHPRVTKGQNVQQVIYATGALAKAVYERMFNWMVTRINATLETKQPRQYFIGVLDIAGFEIFDFNSFEQLCINFTNEKLQQFFNHHMFVLEQEEYKKEGIEWTFIDFGMDLQACIDLIEKPMGIMSILEEECMFPKATDMTFKAKLFDNHLGKSANFQKPRNIKGKPEAHFSLIHYAGIVDYNIIGWLQKNKDPLNETVVGLYQKSSLKLLSTLFANYQTVSALHRENLNKLMTNLRSTHPHFVRCIIPNETKSPGVMDNPLVMHQLRCNGVLEGIRICRKGFPNRILYGDFRQRYRILNPAAIPIDSRKGAEKLLSSLDIDHNQYKFGHTKVFFKAGLLGLLEEMRDERLSRIITRTQAAEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFNDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKTRHNIEDGGVQLADHYQQNTPIGNGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITDSEMAVFGAAAPYLRKSEKERLEAQTRPFDLKKDVFVPDDKQEFVKAKIVSREGGKVTAETEYGKTVTVKEDQVMQQNPPKFDKIEDMAMLTFLHEPAVLYNLKDRYGSWMIYTYSGLFCVTVNPYKWLPVYTPEVVAAYRGKKRSEAPPHIFSISDNAYQYMLTDRENQSILITGESGAGKTVNTKRVIQYFAVIAAIGDPGKGTLEDQIIQANPALEAFGNAKTVRNDNSSRFGKFIRIHFGATGKLASADIETYLLEKSRVIFQLKAERDYHIFYQILSNKKPELLDMLLITNNPYDYAFISQGETTVASIDDAEELMATDNAFDVLGFTSEEKNSMYKLTGAIMHFGNMKFKLKQEQAEPDGTEEADKSAYLMGLNSADLLKGLCHPRVTKGQNVQQVIYATGALAKAVYERMFNWMVTRINATLETKQPRQYFIGVLDIAGFEIFDFNSFEQLCINFTNEKLQQFFNHHMFVLEQEEYKKEGIEWTFIDFGMDLQACIDLIEKPMGIMSILEEECMFPKATDMTFKAKLFDNHLGKSANFQKPRNIKGKPEAHFSLIHYAGIVDYNIIGWLQKNKDPLNETVVGLYQKSSLKLLSTLFANYQTVSALHRENLNKLMTNLRSTHPHFVRCIIPNETKSPGVMDNPLVMHQLRCNGVLEGIRICRKGFPNRILYGSRKGAEKLLSSLDIDHNQYKFGHTKVFFKAGLLGLLEEMRDERLSRIITRTQAAEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFNDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKANFKTRHNIEDGGVQLADHYQQNTPIGNGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGDSEMAVFGAAAPYLRKSEKERLEAQTRPFDLKKDVFVPDDKQEFVKAKIVSREGGKVTAETEYGKTVTVKEDQVMQQNPPKFDKIEDMAMLTFLHEPAVLYNLKDRYGSWMIYTYSGLFCVTVNPYKWLPVYTPEVVAAYRGKKRSEAPPHIFSISDNAYQYMLTDRENQSILITGESGAGKTVNTKRVIQYFAVIAAIGDRSQSPGKGTLEDQIIQANPALEAFGNAKTVRNDNSSRFGKFIRIHFGATGKLASADIETYLLEKSRVIFQLKAERDYHIFYQILSNKKPELLDMLLITNNPYDYAFISQGETTVASIDDAEELMATDNAFDVLGFTSEEKNSMYKLTGAIMHFGNMKFKLKQREEQAEPDGTEEADKSAYLMGLNSADLLKGLCHPRVKTKGQNVQQVIYATGALAKAVYERMFNWMVTRINATLETKQPRQYFIGVLDIAGFEIFDFNSFEQLCINFTNEKLQQFFNHHMFVLEQEEYKKEGIEWTFIDFGMDLQACIDLIEKPMGIMSILEEECMFPKATDMTFKAKLFDNHLGKSANFQKPRNIKGKPEAHFSLIHYAGIVDYNIIGWLQKNKDPLNETVVGLYQKSSLKLLSTLFANYFQTVSALHRENLNKLMTNLRSTHPHFVRCIIPNETKSPGVMDNPLVMHQLRCNGVLEGIRICRKGFPNRILYGDFRQRYRILNPAAIPEGQFIDSRKGAEKLLSSLDIDHNQYKFGHTKVFFKAGLLGLLEEMRDERLSRIITRTQAAEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKNGIKANFKTRHVQLADHYQQNTPIGNGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGDSEMAVFGAAAPYLRKSEKERLEAQTRPFDLKKDVFVPDDKQEFVKAKIVSREGGKVTAETEYGKTVTVKEDQVMQQNPPKFDKIEDMAMLTFLHEPAVLYNLKDRYGSWMIYTYSGLFCVTVNPYKWLPVYTPEVVAAYRGKKRSEAPPHIFSISDNAYQYMLTDRENQSILITGESGAGKTVNTKRVIQYFAVIAAIGDRSPGKGTLEDQIIQANPALEAFGNAKTVRNDNSSRFGKFIRIHFGATGKLASADIETYLLEKSRVIFQLKAERDYHIFYQILSNKKPELLDMLLITNNPYDYAFISQGETTVASIDDAEELMATDNAFDVLGFTSEEKNSMYKLTGAIMHFGNMKFKLKQREEQAEPDGTEEADKSAYLMGLNSADLLKGLCHPRVTKGQNVQQVIYATGALAKAVYERMFNWMVTRINATLETKQPRQYFIGVLDIAGFEIFDFNSFEQLCINFTNEKLQQFFNHHMFVLEQEEYKKEGIEWTFIDFGMDLQACIDLIEKPMGIMSILEEECMFPKATDMTFKAKLFDNHLGKSANFQKPRNIKGKPEAHFSLIHYAGIVDYNIIGWLQKNKDPLNETVVGLYQKSSLKLLSTLFANYFQTVSALHRENLNKLMTNLRSTHPHFVRCIIPNETKSPGVMDNPLVMHQLRCNGVLEGIRICRKGFPNRILYGDFRQRYRILNPAASRKGAEKLLSSNQYKFGHTKVFFKAGLLGLLEEMRDERLSRIITRTPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFGNYKTRAEVKTLVNRIELKEYNYNSHNVYIMADKQKNGIKANFKTRHNIELADHYQQNTPILLPDNHYLSTQSALSKRDHMVLLEFVTAAGILPTAQEVQGLMARFIELVDVGDIEAIVQMYADDATVESPFGQPPIHGREQIAAHYRQWLKFRVSLTGPVRASHNGSGAMPLRKEWGQPSALDVILVMRFDEHGRIQTEQRYWSEVNLSVRLPTAQEVQGLMARFIELVDVGDIEAIVQMYADDATVESPFGQPPIHGREQIAAHYRQWLGGGKFRVSLTGPVRASHNGSGAMPLRKEWVWNGQPSALDVILVMRFDEHGRIQTEQRYWSEVNLSVPRYLKGWLEDVVQLSLRRPSVRASRQRPIISLNERILEFNKRNITAIIAEYKRKDPSGLDVERDPIEYAKFMERYAVGLFISTEEKYFNGSYETLRKIASSVSIPILMYDFIVKESQIDDAYNLGADTVALIVKILTERELESLLEYARSYGMEPLIIINDENDLDIALRIGARFIGIAARDWETGEINKENQRKLISMIPSNVVKVAKEGISERNEIEELRKLGVNAFLIGSSLMRNPEKIKELISKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGIAQVQLVESGGALVQPGGSLRLSCAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYCNVNVGFEYWGQGTQVTVSHHKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGIAQVQLVESGGALVQPGGSLRLSCAASGFPVNRYSMRWYRQAPGKEREWVAGMSSAGDRSSYEDSVKGRFTISRDDARNTVYLQMNSLKPEDTAVYYCNVNVGFEYWGQGTQVTVSHVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMLSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMLVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFVKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDQRIEILSHDKDYNKVRLYEHAEARYSMMDKVIQELKDLQVGKVLENEPLANHTTIKIGGPADCLVIPKDIQAVRDTMEVVKNHGVQWRAIGRGSNLLVLDEGIRGVVIKLGAGLDHMEIDGEQVTVGGGYSVVRLSTGISKKGLSGLEFASGIPGSVGGAVYMNAGAHGSDISRILVKALILFEDGTMEWLTNEEMEFSYRTSILQNKRPGICLEAVLQLEQKERDAIVAQMQKNKDYRKETQPVSNPCAGSIFRNPLPDHAGRLVEQAGLKGHRIGGAKVSEMHGNFIVNAGGATAKDVLDLIAFIQKTIKEKYDIDMHTEVEIVGEKMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGFQTVKLKVTKGGPLPFAWDILSPQSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGMEASSERMYPEDGALKGEDKLRLKLKDGGHYTSEVKTTYKAKKPVQLPGAYIVDIKLDITSHNEDYTIVEQYERAEGRHSTGGMDELYKMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGFQTVKLKVTKGGPLPFAWDILSPQSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGMEASSERMYPEDGALKGEDKLRLKLKDGGHYTSEVKTTYKAKKPVQLPGAYIVDIKLDITSHNEDYTIVEQYERAEGRHSAIIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGFQTAKLKVTKGGPLPFAWDILSPLSKAYVKHPADIPDYFKLSFPEGFKWERVMNYEDGGVVTVTQDSSLQDGEFIYKVKMRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIRMRLKLKDGGHYTSEVKTTYKAKKSVQLPGAYIVGIKLDITSHNEDYTIVEQYERAEGRHSTAIIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGFQTAKLKVTKGGPLPFAWDILSPLSKAYVKHPADIPDYFKLSFPEGFKWERVMNYEDGGVVTVTQDSSLQDGEFIYKVKMRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIRMRLKLKDGGHYTSEVKTTYKAKKSVQLPGAYIVGIKLDITSHNEDYTIVEQYERAEGRHSTGGAIIKEFMRFKVHMEGTVNGHEFEIEGEGEGHPYEGFQTAKLKVTKGGPLPFAWDILSPLSKAVKHPADIPDYFKLSFPEGFKWERVMNYEDGGVVTVTQDSSLQDGEFIYKVKMRGTNFPSDGPVMQKKTMGWEASSERMYPEDGALKGEIRMRLKLKDGGHYTSEVKTTYKAKKSVLLPGAYIVGIKLDITSHNEDYTIVEQYERSEARHSTGGMSGVIKPDMKIKLKMEGNVNGYAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTTAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISLEEDSFIYEIYLKGENFPPNGPVMQKKTTGWDASTERMYVRDGVLKGDVKHKLLLEGGGYYRVDFKTIYRAKKAVKLPDYHFVDHRIEILNYDKDYNKVTVYESAVARNSTDSGVIKPDMKIKLKMEGNVNGYAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTTAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISLEEDSFIYEIYLKGENFPPNGPVMQKKTTGWDASTERMYVRDGVLKGDVKHKLLLEGGGYYRVDFKTIYRAKKAVKLPDYHFVDHRIEILNYDKDYNKVTVYESAVARNSTDGVIKPDMKIKLKMEGNVNGYAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTTAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISLEEDSFIYEIYLKGENFPPNGPVMQKKTTGWDASTERMYVRDGVLKGDVKHKLLLEGGGYYRVDFKTIYRAKKAVKLPDYHFVDHRIEILNYDKDYNKVTVYESAVARNPNFSGNWKIIRSENFEELLKVLGVNVMLRKIAVAAASKPAVEIKQEGDTFYIKTSTTVRTTEINFKVGEEFEEQTVDGRPCKSLVKWESENKMVCEQKLLKGEGPKTSWTLELTNDGELILTMTADDVVCTKVYVREPNFSGNWKIIRSENFEELLKVLGVNVMLRKIAVAAASKPAVEIKQEGDTFYIKTSTTVRTTEINFKVGEEFEEQTVDGRPCKSLVKWESENKMVCEQKLLKGEGPKTSWTLELTNDGELILTMTADDVVCTKVYVREPNFSGNWKIIRSENFEELLKVLGVNVMLRKIAVAAASKPAVEIKQEGDTFYIKTSTTVRTTEINFKVGEEFEEQTVDGRPCKSLVKWESENKMVCEQKLLKGEGPKTSWTLELTNDGELIDTMTADDVVCTKVYVREPNFSGNWKIIRSENFEELLKVLGVNVMLRKIAVAAASKPAVEIKQEGDTFYIKTSTTVRTTEINFKVGEEFEEQTVDGRPCKSLVKWESENKMVCEQKLLKGEGPKTSWTLELTNDGELIDTMTADDVVCTKVYVREPNFSGNWKIIRSENFEELLKVLGVNVMLRKIAVAAASKPAVEIKQEGDTFYIKTSTTVRTTEINFKVGEEFEEQTVDGRPCKSLVKWESENKMVCEQKLLKGEGPKTSWTLELTNDGELIETMTADDVVCTKVYVREPNFSGNWKIIRSENFEELLKVLGVNVMLRKIAVAAASKPAVEIKQEGDTFYIKTSTTVRTTEINFKVGEEFEEQTVDGRPCKSLVKWESENKMVCEQKLLKGEGPKTSWTLELTNDGELIETMTADDVVCTKVYVREMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITAALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITAALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITAALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITAALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNGVIKPDMKIKLKMEGNVNGYAFVIEGEGEGKPYDGTNTINLEVKEGAPLPFSYDILTTAFNRAFTKYPDDIPNYFKQSFPEGYSWERTMTFEDKGIVKVKSDISLEEDSFIYEIYLKGENFPPNGPVMQKKTTGWDASTERMYVRDGVLKGDVKHKLLLEGGGYYRVDFKTIYRAKKAVKLPDYHFVDHRIECLNHDKDHNKVTVYESAVARNQGEVTIREALRELDLWGVGAVFTLIDYEDSQSRTMKLIKDWKDIVNQVGDNRCLLQSLKDSPYYKGFEDKVSIWERKLAELDEYLQNLNHIQRKWVYLEPIFGRGALPKEQTRFNRVDEDFRSIMTDIKKDNRVTTLTTHAGIRNSLLTILDQLQRCQRSLNEFLEEKRSAFPRFYFIGDDDLLEILGQSTNPSVIQSHLKKLFAGINSVCFDEKSKHITAMKSLEGEVVPFKNKVPLSNNVETWLNDLALEMKKTLEQLLKECVTTGRSSQGAVDPSLFPSQILCLAEQIKFTEDVENAIKDHSLHQIETQLVNKLEQYTNIDTSSEDPGNTESGILELKLKALILDIIHNIDVVKQLNQIQVHTTEDWAWKKQLRFYMKSDHTCCVQMVDSEFQYTYEYQGNASKLVYTPLTDKCYLTLTQAMKMGLGGNPYGPAGTGKTESVKALGGLLGRQVLVFNCDEGIDVKSMGRIFVGLVKCGAWGCFDEFNRLEESVLSAVSMQIQTIQDALKNHRTVCELLGKEVEVNSNSGIFITMNPAGKGYGGRQKLPDNLKQLFRPVAMSHPDNELIAEVILYSEGFKDAKVLSRKLVAIFNLSRELLTPQQHYDWGLRALKTVLRGSGNLLRQLNKSGTTQNANESHIVVQALRLNTMSKFTFTDCTRFDALIKDVFPGIELKEVEYDELSAALKQVFEEANYEIIPNQIKKALELYEQLCQRMGVVIVGPSGAGKSTLWRMLRAALCKTGKVVKQYTMNPKAMPRYQLLGHIDMDTREWSDGVLTNSARQVVREPQDVSSWIICDGDIDPEWIESLNSVLDDNRLLTMPSGERIQFGPNVNFVFETHDLSCASPATISRMGMIFLSDEETDLNSLIKSWLRNQPAEYRNNLENWIGDYFEKALQWVLKQNDYVVETSLVGTVMNGLSHLHGCRDHDEFIINLIRGLGGNLNMKSRLEFTKEVFHWARESPPDFHKPMDTYYDSTRGRLATYVLKKPEDLTADDFSNGLTLPVIQTPDMQRGLDYFKPWLSSDTKQPFILVGPEGCGKGMLLRYAFSQLRSTQIATVHCSAQTTSRHLLQKLSQTCMVISTNTGRVYRPKDCERLVLYLKDINLPKLDKWGTSTLVAFLQQVLTYQGFYDENLEWVGLENIQIVASMSAGGRLGRHKLTTRFTSIVRLCSIDYPEREQLQTIYGAYLEPVLHKNLKNHSIWGSSSKIYLLAGSMVQVYEQVRAKFTVDDYSHYFFTPCILTQWVLGLFRYDLEGGSSNHPLDYVLEIVAYEARRLFRDKIVGAKELHLFDIILTSVFQGDWGSDILDNMSDSFYVTWGARHNSGAPGQPLPPHGKPLGKLNSTDLKDVIKKGLIHYGRDNQNLDILLFHEVLEYMSRIDRVLSFPGGSLLLAGRSGVGRRTITSLVSHMHGAVLFSPKISRGYELKQFKNDLKHVLQLAGIEAQQVVLLLEDYQFVHPTFLEMINSLLSSGEVPGLYTLEELEPLLLPLKDQASQDGFFGPVFNYFTYRIQQNLHIVLIMDSANSNFMINCESNPALHKKCQVLWMEGWSNSSMKKIPEMLFSEVDPDFLKSFLLIHESCKAYGATPSQYMTFLHVYSAISSSKKKELLKRQSHLQAGVSKLNEAKALVDELNRKAGEQSVLLKTKQDEADAALQMITVSMQDASEQKTELERLKHRIAEEVVKIEERKNKIDDELKEVQPLVNEAKLAVGNIKPESLSEIRSLRMPPDVIRDILEGVLRLMGIFDTSWVSMKSFLAKRGVREDIATFDARNISKEIRESVEELLFKNKGSFDPKNAKRASTAAAPLAAWVKANIQYSHVLERIHPLETEQAGLESNLKKTEDRKRKLEELLNSVGQKVSELKEKFQSRTSEAAKLEAEVSKAQETIKAAEVLINQLDREHKRWNAQVVEITEELATLPKRAQLAAAFITYLSAAPESLRKTCLEEWTKSAGLEKFDLRRFLCTESEQLIWKSEGLPSDDLSIENALVILQSRVCPFLIDPSSQATEWLKTHLKDSRLEVINQQDSNFITALELAVRFGKTLIIQEMDGVEPVLYPLLRRDLVAQGPRYVVQIGDKIIDYNEEFRLFLSTRNPNPFIPPDAASIVTEVNFTTTRSGLRGQLLALTIQHEKPDLEEQKTKLLQQEEDKKIQLAKLEESLLETLATSQGNILENKDLIESLNQTKASSALIQESLKESYKLQISLDQERDAYLPLAESASKMYFIISDLSKINNMYRFSLAAFLRLFQRALQNKQDSENTEQRIQSLISSLQHMVYEYICRCLFKADQLMFALHFVRGMHPELFQENEWDTFTGVDQLPSWIDQERSWAVATLKIALPSLYQTLCFEDAALWRTYYNNSMCEQEFPSILAKKVSLFQQILVVQVLRPDRLQSAMALFACKTLGLKEVSPLPLNLKRLYKETLEIEPILIIISPGADPSQELQELANAERSGECYHQVAMGQGQADLAIQMLKECARNGDWLCLKNLHLVVSWLPVLEKELNTLQPKDTFRLWLTAEVHPNFTPILLQSSLKITYESPPGLKKNLMRTYESWTPEQISKKDNTHRAHALFSLAWFHAACQERRNYIPQGWTKFYEFSLSDLRAGYNIIDRLFDGAKDVQWEFVHGLLENAIYGGRIDNYFDLRVLQSYLKQFFNSSVIIFPYSVSLPQSCSILDYRAVIEKIPEDDKPSFFGLPANIARSSQRMISSQVISQLRILGRSITAGSKFDREIWSNELSPVLNLWKKLNQNSNLIHQKVPPPNDRQGSPILSFIILEQFNAIRLVQSVHQSLAALSKVIRGTTLLSSEVQKLASALLNQKCPLAWQSKWEGPEDPLQYLRGLVARALAIQNWVDKAEKQALLSETLDLSELFHPDTFLNALRQETARAVGRSVDSLKFVASWKGRLQEAKLQIKISGLLLEGCSFDGNQLSENQLDSPSVSSVLPCFMGWIPQDACGPYSPDECISLPVYTSAERDRVVTNIDVPCGGNQDQWIQCGAALFLKNQVSKGEKLFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKMSLKFICTTGKLPVPWPTLKTTLMQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGVDFKEDGNILGHKLEYNAISGNANITADKQKNGIKAYFTIRHDVEDGSVLLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGIPLMRVWVGIDDTDSSRGMCTYLAVLAMERVERELGKVIGFPRLIRLNPTIPYKTRGNGAVSFLVEVDDVGELVDVVNEVIIEHAMLDDEKTNPGAVFVDEELAVKLKPFADKAIKDVLQIDEALFVIGKYFIPHLRHKKGRGLIGALAAVGAELEDFTLELIAYRYPERFGTEREYDEESFFDMDYELYPQTFDNVDWCNDVVVCIPNTPCPVLYGIRGESVEALYKAMESVKTEPVDRRMIFVTNHATDMHLIGEEEVHRLENYRSYRLRGRVTLEPYDIEGGHVFFEIDTKFGSVKCAAFEPTKQFRNVIRLLRKGDVVEVYGSMKKDTINLEKIQIVELAEIWVEKNPICPSCGRRMESAGRGQGFRCKKCRTKADEKLREKVERELQPGFYEVPPSARRHLSKPLIRMNVEGRHIFRSVSKGEKLFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKMSLKFICTTGKLPVPWPTLKTTLMQCFARYPDHMQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGVDFKEDGNILGHKLEYNAISGNANITADKQKNGIKAYFTIRHDVEDGSVLLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGIPLSKGEKLFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKMSLKFICTTGKLPVPWPTLKTTLMQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGVDFKEDGNILGHKLEYNAISGNANITADKQKNGIKAYFTIRHDVEDGSVLLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGIPLSKGEKLFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKMSLKFICTTGKLPVPWPTLKTTLMQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGVDFKEDGNILGHKLEYNAISGNANITADKQKNGIKAYFTIRHDVEDGSVLLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGIPLSKGEKLFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKMSLKFICTTGKLPVPWPTLKTTLMQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGVDFKEDGNILGHKLEYNAISGNANITADKQKNGIKAYFTIRHDVEDGSVLLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGIPLSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSGSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVKEGAPLPFSYDILTPAFNRAFTKYPKDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYKIRFDGTNFPPNGPVMQKKTLKWEPSTEKMYVRDGVLKGDVNMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSMLPSQMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITGSSTMGQVGRQLAIIGDDINRRYDSEFQTMLQHLQPTAENAYEYFTKIATSLFESGINWGRVVALLGFGYRLALHVYQHMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITGSSTMGQVGRQLAIIGDDINRRYDSEFQTMLQHLQPTAENAYEYFTKIATSLFESGINWGRVVALLGFGYRLALHVYQHMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITGSSTMGQVGRQLAIIGDDINRRYDSEFQTMLQHLQPTAENAYEYFTKIATSLFESGINWGRVVALLGFGYRLALHVYQHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITGSSTMGQVGRQLAIIGDDINRRYDSEFQTMLQHLQPTAENAYEYFTKIATSLFESGINWGRVVALLGFGYRLALHVYQHSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNTALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNTALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNTALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSSVIKPDMKIKLRMEGAVNGHPFAIEGVGLGKPFEGKQSMDLKVKEGGPLPFAYDILTTVFNRVFAKYPENIVDYFKQSFPEGYSWERSMNYEDGGICNATNDITLDGDCYIYEIRFDGVNFPANGPVMQKRTVKWEPSTEKLYVRDGVLKGDVNTALSLEGGGHYRCDFKTTYKAKKVVQLPDYHFVDHHIEIKSHDKDYSNVNLHEHAEAHSGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKCNNGIKANFTIRHNVEDGSVQLADHYQQNTPIPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKCNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGISKGEELFTGVVPILVELDGDVNGHFSVRGEGEGDATNGKLTLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHHGEELFTGVVPILVELDGDVNGHFSVRGEGEGDATNGKLTLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIKGEELFTGVVPILIELDGDVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITRKGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPILPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGGDLPDDHYLSTQTILSKDNEKRDHMVLLEYVTAAGKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITHHHHHHLFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITMRKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKENILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGHYLSTQTILSKDLNEKRDHMVLLEYVTAATGVVPILIELDGDGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGFKENILGHKLEYNFNSHKVYIIKANFTIRHNVEDGSVQLADHYQQNTPIDHYLSTQTILSKDLNEKRDHMVLLEYVTAEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGCTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGPDDHYLSTQTILSKDLNEKRDHMVLLEYVTATGVVPILIELDGDVNGHKFFVRGEGEGDATLSLKFIATTLPVPWPTLVTTLVQAFSRFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVTADKQGIKANFTIRHNVEDGSVQLADHYQQNTPSTQTILSKDLNEKRDHMVLLEYVTGEELFTGVVPILIELDGDVNGHKVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKATIRHNVDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFETLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAPEGYVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDKSAMPEVQERTIYFKDDGTYKTRAEVKFEGTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGCTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITNNGIKANFTIRHNVEDADHYQQNTPIGPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRDHMKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGLSLKFIATTGKLPVPWPTLVTTLVQAFSDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADNGIKANFTIRHNVEDGSVQLADHYQQNTPIDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITANGIKANFTIRHNVGSVQLADHYQQNTPIPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADIKANFTIRHNVEDGSVQLADHYQQNTPIPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITAIKANFTIRHNVEDGSVQLADHYQQNTPIDDHYLSTQTILSKDLNEKRDHMVLLEYVTAGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSVQERTIYFKDGTYKTAETLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVNFTIRHNVEDGSVQLADHYQQDHYLSTQTILSKDLNEKRDHMVLLEYVTLFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAELFTGVVPILIELDGDVNGHKFFVRGEGEATIGKLSLKFIATTGKLPVPWPTLVTTLVQCYPDHMKRHDFFKSAPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDHYLSTQTILSKDLNEKRDHMVLLEYVTAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPMKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGHYLSTQTILSKDLRDHMVLLEYVTAAGIGEELFTGVVLIELDGDVNGHKFFGEGDATIGKLSLFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMTIYFKDGTYKTREVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNIKANFTIRHNVEDGSVQLADHYQQNTPIGLPDDHYLSTQTILSKRDHMVLLEYVTAAGGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKFKSAMPEGYVQERTIYFKDGTYKTRAEVKFTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNGSVQLADHYQQNTPIGDGPPDDHYLSTQTILSKDLNEKRDVLLEYVTALFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVVQCFSRDHMKRHDFFVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIVPILIELDGDVNGHKFFVRGEGEGATIGKLSLKFILPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSPEGYVQERTIYFKDGTYKTRAEVKDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGVDLPDDHYLSTQTIRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVGDTLVNRIELKGIDFKNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHVQERTIYFKTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDHYLSTQTILSKDLMVLLEYVTAAGLFTGVVPILIELDGDVNGHKFFVATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSDFFKSAMPEGYVQERTIYFKDGTYKTRAELVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDLPDDHYTILEYVTAAGPILIELDGDVNGHKFFVRGEGEGDALKFIATTGKLPVPWPTLVTTLVQCFSKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAELFTGVVPILIELDGDVNGHKFFVRGEGSLKFIATTVPWPTLVTTLVQCFSRYPDHMKRRTIYFKDGTYKTRAEDTLVNRIELKGIDFKILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQLSTQTILSKDLNEKRDHMVLLEYVTAAGITLIELDGDVNGHKGEGDATIGKLSLKFIAPVPWPTLVTTLSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLDHYQQNTPIGDPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLYPDHMKRHDFFKSAMPEGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMGYVQERTIYFKDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGKANFTIRHNVEDGSVQLADHYQQNLPDDHYLSQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAARKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFHGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFHGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFHGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFHGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFHGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTLPVPWPTLVTTLVQAFSRYPHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFCGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDDHYLSTQTILSHMVLLEYVTAAGIPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRPDHMKRFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFELVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYANFTIRHNVEDGSVQLADHYQQNTPIDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAKGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIMRKGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTVQCFSRYPDHMKRHDFFKSAMGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGELFTGVVPILIELDGHVNGHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYIIKANFTIRHNVEDGSVQLADHYQQNTPIGDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAKGEELFTGVVPILIELDGHVNGHHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIEELFTGVVPILIELDGHVNGHHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGITGEELFTGVVPILIELDGHVNGHHFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLHGIDFKEDGNILGHKLEYNFNSHKVYITADKQNIKANFTIRHNVEDGSVQLADHYQQNTPIGLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAMRKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLHGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGRKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLHGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGRKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLHGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIRKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFEGDTLVNRIHLHGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGIKGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIGDGPVDLPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGGEELFTGVVPILIELDGDVNGHKFFVRGEGEGDATIGKLSLKFIATTGKLPVPWPTLVTTLVQAFSRYPDHMKRHDFFKSAMPEGYVQERTIYFKDDGTYKTRAEVKFGDHLVNRIELKGIDFKEDGNILGHKLEYNFNSHKVYITADKQNNGIKANFTIRHNVEDGSVQLADHYQQNTPIPDDHYLSTQTILSKDLNEKRDHMVLLEYVTAAGDDYTEKAWEAISSLNKIGEKYDSAYVEAEMLLLALLNDSPDGLAERILKESGIDTQLLVQEIDDYLKKQPKMPSGFGEQKILGRTLQTVLSTSKRLKKEFNDEYISIEHLLLSIISEDSKFTRPWLLKYNVNYEKVKKAVEKIRGGSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITLVPRDDYTEKAWEAISSLNKIGEKYDSAYVEAEMLLLALLNDSPDGLAERILKESGIDTQLLVQEIDDYLKKQPKMPSEQKILGRTLQTVLSTSKRLKKEFNDEYISIEHLLLSIISEDSKFTRPWLLKYNVNYEKVKKAVEKIRGGSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNIEDGSHQYHRSPKTLQGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLKVEMYIKNLQDDSPPVRVYAAFALGKIGDERAVEPLIKALKDEDASVRYAAATALGQIGDERAVEPLIKALKDEDGYVRTAAAEALGQIGDERAVEPLIKALKDEDPWVRLTAARALGEIGDERAVEPLIKALKDEDPWVRLTAARALGQIGDERAVEPLIKALKDEDASVRKAAAVALGQIGDERAVEPLIKALKDEDEYVRQRAASALGKIGGERVRAAMEKLAEPAPGFARKVAVNYLETHKSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGYYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNAYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQNKLSKDPNEKRDHMVLLEFVTAAGITLKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFARYPDHMKQHDFFKSAMPEGYVQERTISFKDDGYYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNAYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQNKLSKDPNEKRDHMVLLEFVTAAGITLRSMVAGHASGEEIHLAGSIQPHGALLVVSEHDHRVIQASANAAEFLNLGSVLGVPLAEIDGDLLIKILPHLDPTAEGMPVAVRCRIGNPSTEYCGLMHRPPEGGLIIELERAGPSIDLSGTLAPALERIRTAGSLRALCDDTVLLFQQCTGYDRVMVYRFDEQGHGLVFSECHVPGLESYFGNRYPSSTVPQMARQLYVRQRVRVLVDVTYQPVPLEPRLSPLTGRDLDMSGCFLRSMSPCHLQYLKDMGVRATLAVSLVVGGKLWGLVVCHHYLPRFIRFELRAICKRLAERIATRITALESSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLHHTDPEKVEMYIKNLQDDSMRVRYNAATALGKIGDERAVEPLIKALKDEDGYVRLEAAEALGEIGDERAVEPLIKALKDEDPDVRSEAALALGKIGDERAVEPLIKALKDEDRYVRMAAAWALGKIGGERVRAAMEKLAETGTGFARKVAVNYLETHKHHTDPEKVEMYIKNLQDDSMRVRYNAATALGKIGDERAVEPLIKALKDEDGYVRLEAAEALGEIGDERAVEPLIKALKDEDPDVRSEAALALGKIGDERAVEPLIKALKDEDRYVRMAAAWALGKIGGERVRAAMEKLAETGTGFARKVAVNYLETHKHHTDPEKVEMYIKNLQDDSMRVRYNAATALGKIGDERAVEPLIKALKDEDGYVRLEAAEALGEIGDERAVEPLIKALKDEDPDVRSEAALALGKIGDERAVEPLIKALKDEDRYVRMAAAWALGKIGGERVRAAMEKLAETGTGFARKVAVNYLETHKPKKQELISKLKTGKTFLRNQEPEKAYTEFKIALELAQSLKDPTEEKKAARGLGASLQRQGKYREAIQYHSMVLAISKRESEDSGITEAYGAIADCYTELGDLEKAGKFYDTYIARLETDMLETVPTIKKLRAYAERIRVAELEKCMSKMGDDINKKTTRAVDDLSRGIVNRFLHGPMQHLRCRTLSETLENMHALNRMYGLEKPKKQELISKLKTGKTFLRNQEPEKAYTEFKIALELAQSLKDPTEEKKAARGLGASLQRQGKYREAIQYHSMVLAISKRESEDSGITEAYGAIADCYTELGDLEKAGKFYDTYIARLETDSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGSDVHKKCPLCELMFPPNYDQSKFEEHVESHWKVCPMCSEQFPPDYDQQVFERHVQTHFKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGSDVHKKCPLCELMFPPNYDQSKFEEHVESHWKVCPMCSEQFPPDYDQQVFERHVQTHFMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKVCPMCSEQFPPDYDQQVFERHVQTHFMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIKVCPMCSEQFPPDYDQQVFERHVQTHFAIPENVRIKAFMEGAINNHHFKCEAEGEGKPYEGTQLERIRVTEGGPLPFSFDILSPHFSVAITKYLSGIPDYFKQSFPEGFSWERTTMYEDGGYVTAHQDTSLDGNCLVYKIKVIGSNLPANGPVMQNKTRGWEPCTEMRYVRGGVLCGQSLMALKCADGNHLTCQLRTTYRSKKPAKKLQMPAFHFSDHRPEILKVSENGNLMEQYEMSVGRYCESVPSKLGHNAIPENVRIKAFMEGAINNHHFKCEAEGEGKPYEGTQLERIRVTEGGPLPFSFDILSPHFSVAITKYLSGIPDYFKQSFPEGFSWERTTMYEDGGYVTAHQDTSLDGNCLVYKIKVIGSNLPANGPVMQNKTRGWEPCTEMRYVRGGVLCGQSLMALKCADGNHLTCQLRTTYRSKKPAKKLQMPAFHFSDHRPEILKVSENGNLMEQYEMSVGRYCESVPSKLGHNSEVGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELDDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQTATIGFTTADGGKMMGHFDSKMTFNGSRAIEIPGPHFVTIITKQTRDTSDKRDHVCQREVAYAHSVPRIGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSDNVYITADNGIKANFTVRHNVEDGSVQLADHYQQNTPIVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGISQGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFISGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSDNVYITAGIKANFTVRHNVEDGSVQLADHYQQNTPIVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSDNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGIASQGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSDNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFISTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSDNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGASQGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFISTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGKYKTRAVVKFEGDTLVNRIELKGTDFKEDGNILGHKLEYNFNSDNVYITADKQKNGIKANFTVRHNVEDGSVQLADHYQQNTPIGLPDNHYLSTQTVLSKDPNEKRDHMVLLEFVTAAGGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATIGKLTLKFISTSECGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELSDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQLAFIGFTTADGGLMMGHLDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAHAHSVPRITSAIGSDQSECGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELSDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQLAFIGFTTADGGLMMGHLDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAHAHSVPRITSAIGSDQSECGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELSDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQLAFIGFTTADGGLMMGHLDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAHAHSVPRITSSECGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELSDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQLAFIGFTTADGGLMMGHLDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAHAHSVPRITSSECGPALFQSDMTFKIFIDGEVNGQKFTIVADGSSKFPHGDFNVHAVCETGKLPMSWKPICHLIEPFFARYPDGISHFAQECFPEGLSIDRTVRFENDGTMTSHHTYELSDTCVVSRITVNCDGFQPDGPIMRDQLVDILPSETHMFPHGPNAVRQLAFIGFTTADGGLMMGHLDSKMTFNGSRAIEIPGPHFVTIITKQMRDTSDKRDHVCQREVAHAHSVPRITSAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSPQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLRGTNFPSDGPVMQKKTMGEASSERMYPEDGALKGEIKQRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNVNIKLDITSHNEDYTIVEQYERAEGRHSTGGSHMTPKDDEFYQQWQLKYPKLILREASSVSEELHKEVQEAFLTLHKHGLFRDLVRIQGKDLLTPVSRILIGNPGCTYKYLNTRLFTVPWPVKTEAEIAAACETFLKLNDYLQIETIQALEELAAKEKDEVDIKSRAAYNVTLLNFMDPQKMPYLKEEPYFGMGKMAVSWHHDENLVDRSAVAVYSYSCEEGRDPDIWHVGFKISWDIETPGLAIPLHQGDCYFMLDDLNATHQHCVLAGSQPRFSSTHRVAECSTGTLDYILQRCQLALQNVCDDVDNDDVSLKSFEPAVLKQGEEIHNEVEFEWLRQFWFQGNRYRKTDWWCQPMAQLEALWKKMEGVTNAVLHEVKREGLPVEQRNEILTAILASLTARQNLRREWHARCQSRIARTLPADQKPECRPYWEKDDASMPLPFDLTDIVSELRGQLLEAGSHMTPKDDEFYQQWQLKYPKLILREASSVSEELHKEVQEAFLTLHKHGLFRDLVRIQGKDLLTPVSRILIGNPGCTYKYLNTRLFTVPWPVKTEAEIAAACETFLKLNDYLQIETIQALEELAAKEKDEVDIKSRAAYNVTLLNFMDPQKMPYLKEEPYFGMGKMAVSWHHDENLVDRSAVAVYSYSCEEGRDPDIWHVGFKISWDIETPGLAIPLHQGDCYFMLDDLNATHQHCVLAGSQPRFSSTHRVAECSTGTLDYILQRCQLALQNVCDDVDNDDVSLKSFEPAVLKQGEEIHNEVEFEWLRQFWFQGNRYRKTDWWCQPMAQLEALWKKMEGVTNAVLHEVKREGLPVEQRNEILTAILASLTARQNLRREWHARCQSRIARTLPADQKPECRPYWEKDDASMPLPFDLTDIVSELRGQLLEASDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKLDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQSDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKLDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKLDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQSDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKLSDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKLDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQDLGKKLLEAARAGQDDEVRILMANGADVNAKDSRGKTPLHLAADYGYLEVAEVLLKHGADVNAHDVYGDTPLHLTATWGHLEIVEVLLKNGADANAIDFFGWTPLHLAAYFGHLEIVEVLLKYGADVNAQDKFGKTVFDISVYNGDEDLAEILQKLPFFPPLYLGGPEITTENCEREPIHIPGSIQPHGALLTADGHSGEVLQVSLNAATFLGQEPTVLRGQTLAALLPEQWPALQAALLQYRATLDWPAAGHLSLTVHRVAELLILEFEPTHALRNAMFALESAPNLRALAEVATQTVRELTGFDRVMLYKFAPDATGEMIAEARREGMQAFLGHRFPASHTPAQARALYTRHLLRLTADTRAAAVPLDPVLNPQTNAPTPLGGAVLRATSPMHMQYLRNMGVGSSLSVSVVVGGQLWGLIVCHHQTPYVLPPDLRTTLEYLGRKLSGQVQRKEALLEAARAGQDDERILMADVNALDEVGWTPLHLAAWGHLEIVELLKNGADVNAADIDGYTPLHLAAFSGHLEIVEVLLKYGADVNADDQAGFTPLHLAAIFGHLEIVEVLLKNGADVNAQDKFGKTPRDLAIDNGNEDIAEVLGKAATLVKVKDAADQLGARVGYIELDLNSGKILESFRSEERFPMMSTFKVLLAGAILSRIDAGQEQLGRRIHYSQNDLVEYSPVTEKHLTDGMTVRELASAAITMSDNTAANLLLTTIGGPKGLTAFLHNMGDHVTRLDRWEPELNEAIPNDERDTTTPVAMATTLRKLLTGELLTPASRQQLMDWMEADKVAGPLLRSVLPAGWFIADKSGAGERGSRGIVAALGPDGKPSRIVVIYTTGSQATMDELNRQIAEIGASLIKGWSSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGEELIKENMHSKLYLEGSVNGHQFKCTHEGEGKPYEGTQTNRIKVVEGGPLPFAFDILATMFSKTFIKYPKGLPDYFKQSFPEGFTWERVMVFEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPANGPVMQKKTLGWEPSTETLYPADGGLEGRCDKALKLVGGGHLHCNFKTTYRSKKPATNLKMPGVHYVDRRLERIKEADNETYVEQHEVAVARYCDLPSKLELIKENMHSKLYLEGSVNGHQFKCTHEGEGKPYEGTQTNRIKVVEGGPLPFAFDILATMFSKTFIKYPKGLPDYFKQSFPEGFTWERVMVFEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPANGPVMQKKTLGWEPSTETLYPADGGLEGRCDKALKLVGGGHLHCNFKTTYRSKKPATNLKMPGVHYVDRRLERIKEADNETYVEQHEVAVARYCDLPSKLELIKENMHSKLYLEGSVNGHQFKCTHEGEGKPYEGTQTNRIKVVEGGPLPFAFDILATMFSKTFIKYPKGLPDYFKQSFPEGFTWERVMVFEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPANGPVMQKKTLGWEPSTETLYPADGGLEGRCDKALKLVGGGHLHCNFKTTYRSKKPATNLKMPGVHYVDRRLERIKEADNETYVEQHEVAVARYCDLPSKLIKENMHSKLYLEGSVNGHQFKCTHEGEGKPYEGTQTNRIKVVEGGPLPFAFDILATMFSKTFIKYPKGLPDYFKQSFPEGFTWERVMVFEDGGVLTATQDTSLQDGCLIYNVKLRGVNFPANGPVMQKKTLGWEPSTETLYPADGGLEGRCDKALKLVGGGHLHCNFKTTYRSKKPATNLKMPGVHYVDRRLERIKEADNETYVEQHEVAVARYCDLPSSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGMDSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGMDSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHRSSIVVIGLSIHTAPVEMREKLAIPEAEWPRAIAELCGLNHIEEAAVLSTCNRMEIYVLALSQHRGVKEVTEWMSKTSGIPVSEICQHRFLLYNKDATQHIFEVSAGLDSLVLGEGQILAQVKQVVKVGQGVNGFGRNISGLFKHAITVGKRVRTETNIASGAVSVSSAAVELALMKLPQSSNVSARMCVIGAGKMGKLVIKHLMAKGCTKVVVVNRSEERVSAIREEMPGIEIIYRPLDEMLACASEADVVFTSTASETPLFLKEHVENLPQASPEVGGLRHFVDISVPRNVGSCVGEVETARVYNVDDLKEVVEDRMRKAMEAQTIITEESTQFEAWRDSLETVPTIKKLRAYAERIRVAELEKCMSKMINKKTTRAVDDLSRGIVNRFLHGPMQHLRCDGSDSRTLSETLENMHALNRMYGLEKRSSIVVIGLSIHTAPVEMREKLAIPEAEWPRAIAELCGLNHIEEAAVLSTCNRMEIYVLALSQHRGVKEVTEWMSKTSGIPVSEICQHRFLLYNKDATQHIFEVSAGLDSLVLGEGQILAQVKQVVKVGQGFGRNISGLFKHAITVGKRVRTETNIASGAVSVSSAAVELALMKLPQVSARMCVIGAGKMGKLVIKHLMAKGCTKVVVVNRSEERVSAIREEMPGIEIIYRPLDEMLACASEADVVFTSTASTPLFLKEHVENLPQASPEVGGLRHFVDISVPRNVGSCVGEVETARVYNVDDLKEVVAKEDRMRKAMEAQTIITEESTQFEAWRDSLETVPTIKKLRAYAERIRVAELEKCMSKMDINKKTTRAVDDLSRGIVNRFLHGPMQHLRCDGSDSRTLSETLENMHALNRMYGLEKTHKPFPAEVSRSIMELSSVGTLSTLTHDGWPLGVGVRFAVDKDGTPVLCLNRSVSPDKRSALHVQLEQCGLRTPQCTIQGSIGRPGDDTVLKRLSATWREKFGEEVKEDSLYVVAVDRVLQMEDFMEDGIWVASSDYKNASPDPLRDIAEDIVNQINANNMEDIFRFCNVYVDLDFVVSETKMIWMDRLGFDLRVWSPRGVYDVRIPFPMEVTDEKGAKSSFNGMSQLAWEVEKSYCPADFNKVKLLKQVTHKPFPAEVSRSIMELSSVGTLSTLTHDGWPLGVGVRFAVDKDGTPVLCLNRSVSPDKRSALHVQLEQCGLRTPQCTIQGSIGRDDTVLKRLSATWREKFGEEVKEDSLYVVAVDRVLQMEDFMEDGIWVASSDYKNASPDPLRDIAEDIVNQINANNMEDIFRFCNVYVDLDFVVSETKMIWMDRLGFDLRVWSPRGVYDVRIPFPMEVTDEKGAKSSFNGMSQLAWEVEKSYCPADFNKVKLLKQVVGEPKKQELISKLKTGKTFLRNQEPEKAYTEFKIALELAQSLKDPTEEKKAARGLGASLQRQGKYREAIQYHSMVLAISKRESEDSGITEAYGAIADCYTELGDLEKAGKFYDTYIARLETKKQELISKLKTGKTFLRNQEPEKAYTEFKIALELAQSLKDPTEEKKAARGLGASLQRQGKYREAIQYHSMVLAISKRESEDSGITEAYGAIADCYTELGDLEKAGKFYDTYIARLETGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGMDELYKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGMDELYKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGIGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGIKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGIEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLKTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISGNVNITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGITLGSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLKTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISGNVNITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLKTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISGNVNITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGITLSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLKTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISGNVNITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKQSKDPNEKRDHMVLLEFVTAAGITLSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNSAIKPDMKIKLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFTKYPDNIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFYGTNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDIHMALLLEGNAHYRCDFRTTYKAKEKGVKLPGYHFVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHHHHHTDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKSNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLGMDELYKHHHHHHTDPMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKSNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITLGMDELYKMVSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHGMVSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHTMVSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHMVSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVLCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHNVYITADKQKNGIKSNFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSKLSKDPNEKRDHMVLLEFVTAAGITHEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSNVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWKSPTGKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWKSPTGKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWKSPTGKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGSKGEELFTGVVPILVELDGDVNGHKFSVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKRHDFFKSAMPEGYVQERTISFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNFNSHVYITADKQKNGIKANFKIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGITHGSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWKSPTGKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYAKSFDELGLAPELLKGIYAMKFQKPSKIQERALPLLLHNPPRNMIAQSQSGTGKTAAFSLTMLTRVNPEDASPQAICLAPSRELARQTLEVVQEMGKFTKITSQLIVPDSFEKNKQINAQVIVGTPGTVLDLMRRKLMQLQKIKIFVLDEADNMLDQQGLGDQCIRVKRFLPKDTQLVLFSATFADAVRQYAKKIVPNANTLELQTNEVNVDAIKQLYMDCKNEADKFDVLTELYGLMTIGSSIIFVATKKTANVLYGKLKSEGHEVSILHGDLQTQERDRLIDDFREGRSKVLITTNVLARGIDIPTVSMVVNYDLPTLANGQADPATYIHRIGRTGRFGRKGVAISFVHDKNSFNILSAIQKYFGDIEMTRVPTDDWDEVEKIVKKVLKLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTALNRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHNLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWGSHHLIKEDMRVKVHMEGNVNGHAFVIEGEGKGKPYEGTQTLNLTVKEGAPLPFSYDILTTANRVFTKYPEDIPDYFKQSFPEGYSWERTMTYEDKGICTIRSDISLEGDCFFQNVRFNGMNFPPNGPVMQKKTLKWEPSTEKLHVRDGLLVGNINMALLLEGGGHYLCDFKTTYKAKKVVQLPDYHFVDHRIEILSNDSDYNKVKLYEHGVARYSPLPSQAWSVIKPEMKIKLRMEGAVNGHKFVIEGEGIGKPYEGTQTLDLTVEEGAPLPFSYDILTPAFNRAFTKYPEDIPDYFKQAFPEGYSWERSMTYEDQGICIATSDITMEGDCFFYEIRFDGTNFPPNGPVMQKKTLKWKSPTGKMYVEDGVLKGDVEMALLLEGGGHYRCDFKTTYKAKKDVRLPDAHEVDHRIEILSHDKDYNKVRLYEHAEARYMFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNKFQKGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSAMNMFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNKFQKGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSAMNIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSAMNFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSAMNSFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNKFQKGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSSFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNKFQKGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSSFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNKFQKGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSSFIKPGRPKPAVQEDFDAARYLGVWYDIQRLPNKFQKGEATATYSLSPGVGFSVFNRERLANGTIKSVIGSAIAEDPCEPAKLQFFHENAAPVPYWVLSTDYDNYALVYSINLGASHAAYASIVSRQPTLPEETIKKLQGTMSSFGVGVDTLLTTNQDAAYSSSLYNSHKVYITADKQKNGIKANFQIRHNVEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSVLSKDPNEKRDHMVLLEFVTAAGISKGEELFTGVVPILVELDGDVNGHKFRVRGEGEGDATNGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGTYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGIAAAGKAQLDIKNFPELYRTTERVYKKSGQSTKPVTVSNIHYSVLDGYGRSGEAYGIITKDMIDMSASKPEPSGWYSYFFKNTNQRATESDYKHSPKNVSKISNNIKASILLSNGNVRNGYLFDRSGLIADSLGGRPFRNNLITGTRTQNVGNNDRKGGMQYIENKVLDHIKRNPKVHVYYKATPVYQGSELLPRAVLVSALSSDGFIDETVRVFNNVAGFNIDYQNGGLLSSSLQDTVYVNGQSDVYWYNKDSMSEQVALTRGKHHSTMAPSENYTWKNVRIDGGGFVPGIIFNQKEADLIYARTAIGGAYRWNSATSSWIPLLDWVGWDNWGWNGVMSLATDAADPNRVYAAVGMYTNTWDPNNGAILRSTDRGNTWQATPLPFKVGGNMPGRGMGERLAIDPNRNSIIYYGAEGGNGLWRSTDYGATWAKVSSFTNGGNYAQDPNDPNDYLNKIQGVVWVTFDPASGSAGNTSQVIYVGVADTQNAIYRSTDGGTTWSRLAGQPTGFLPHKGVYDAVNGVLYIAYSDTGGPYDGAKGDVWKFTASSGTWTNISPIPSSSSDLYFGYSGLTIDRKNPNTLMVASQIAWWPDAVFFRSTNGGASWTRIWDWTSYPSRSFRYTMDITEVPWLNFGNSNPVAPEVSPKLGWMNESVEIDPHNSNRLMYGTGATIYATENLTSWDSGGQILLKPMVKGLEETAVLDVVSPPVGAPVYSALGDIGGFRHDDLTKVPTSMYTTPNFSSTTSIDFAELQPATMVRVGNLDSGGGIGVTTNAGGSWWQGQNPPGVTSGGNVALAADGGAIVWAPGGSTNVYLSTTFGSTWTAISALPAGAVIEADRVNPNKFYALANGTFYVSTNKGASFSATVTAGIPAAARKFKAVYGREGDIWLAGGSSTTTYGLWRSTNSGASFTKLASVQEADNVTFGKAATGATYPAIYIIGKVDNVRGVFRSTNEGASWVRINDDQRQYGNFGEAISGDPRIYGRLYLGTNGRGLLYGDSAPSENYTWKNVRIDGGGFVPGIIFNQKEADLIYARTAIGGAYRWNSATSSWIPLLDWVGWDNWGWNGVMSLATDAADPNRVYAAVGMYTNTWDPNNGAILRSTDRGNTWQATPLPFKVGGNMPGRGMGERLAIDPNRNSIIYYGAEGGNGLWRSTDYGATWAKVSSFTNGGNYAQDPNDPNDYLNKIQGVVWVTFDPASGSAGNTSQVIYVGVADTQNAIYRSTDGGTTWSRLAGQPTGFLPHKGVYDAVNGVLYIAYSDTGGPYDGAKGDVWKFTASSGTWTNISPIPSSSSDLYFGYSGLTIDRKNPNTLMVASQIAWWPDAVFFRSTNGGASWTRIWDWTSYPSRSFRYTMDITEVPWLNFGNSNPVAPEVSPKLGWMNESVEIDPHNSNRLMYGTGATIYATENLTSWDSGGQILLKPMVKGLEETAVLDVVSPPVGAPVYSALGDIGGFRHDDLTKVPTSMYTTPNFSSTTSIDFAELQPATMVRVGNLDSGGGIGVTTNAGGSWWQGQNPPGVTSGGNVALAADGGAIVWAPGGSTNVYLSTTFGSTWTAISALPAGAVIEADRVNPNKFYALANGTFYVSTNKGASFSATVTAGIPAAARKFKAVYGREGDIWLAGGSSTTTYGLWRSTNSGASFTKLASVQEADNVTFGKAATGATYPAIYIIGKVDNVRGVFRSTNEGASWVRINDDQRQYGNFGEAISGDPRIYGRLYLGTNGRGLLYGDSAPSENYTWKNVRIDGGGFVPGIIFNQKEADLIYARTDIGGAYRWNSATSSWIPLLDWVGWDNWGWNGVMSLATDAADPNRVYAAVGMYTNTWDPNNGAILRSTDRGNTWQATPLPFKVGGNMPGRGMGERLAIDPNRNSIIYYGAEGGNGLWRSTDYGATWAKVSSFTNGGNYAQDPNDPNDYLNKIQGVVWVTFDPASGSAGNTSQVIYVGVADTQNAIYRSTDGGTTWSRLAGQPTGFLPHKGVYDAVNGVLYIAYSDTGGPYDGAKGDVWKFTASSGTWTNISPIPSSSSDLYFGYSGLTIDRKNPNTLMVASQIAWWPDAVFFRSTNGGASWTRIWDWTSYPSRSFRYTMDITEVPWLNFGNSNPVAPEVSPKLGWMNESVEIDPHNSNRLMYGTGATIYATENLTSWDSGGQILLKPMVKGLEETAVLDVVSPPVGAPVYSALGDIGGFRHDDLTKVPTSMYTTPNFSSTTSIDFAELQPATMVRVGNLDSGGGIGVTTNAGGSWWQGQNPPGVTSGGNVALAADGGAIVWAPGGSTNVYLSTTFGSTWTAISALPAGAVIEADRVNPNKFYALANGTFYVSTNKGASFSATVTAGIPAAARKFKAVYGREGDIWLAGGSSTTTYGLWRSTNSGASFTKLASVQEADNVTFGKAATGATYPAIYIIGKVDNVRGVFRSTNEGASWVRINDDQRQYGNFGEAISGDPRIYGRLYLGTNGRGLLYGDSAPSENYTWKNVRIDGGGFVPGIIFNQKEADLIYARTDIGGAYRWNSATSSWIPLLDWVGWDNWGWNGVMSLATDAADPNRVYAAVGMYTNTWDPNNGAILRSTDRGNTWQATPLPFKVGGNMPGRGMGERLAIDPNRNSIIYYGAEGGNGLWRSTDYGATWAKVSSFTNGGNYAQDPNDPNDYLNKIQGVVWVTFDPASGSAGNTSQVIYVGVADTQNAIYRSTDGGTTWSRLAGQPTGFLPHKGVYDAVNGVLYIAYSDTGGPYDGAKGDVWKFTASSGTWTNISPIPSSSSDLYFGYSGLTIDRKNPNTLMVASQIAWWPDAVFFRSTNGGASWTRIWDWTSYPSRSFRYTMDITEVPWLNFGNSNPVAPEVSPKLGWMNESVEIDPHNSNRLMYGTGATIYATENLTSWDSGGQILLKPMVKGLEETAVLDVVSPPVGAPVYSALGDIGGFRHDDLTKVPTSMYTTPNFSSTTSIDFAELQPATMVRVGNLDSGGGIGVTTNAGGSWWQGQNPPGVTSGGNVALAADGGAIVWAPGGSTNVYLSTTFGSTWTAISALPAGAVIEADRVNPNKFYALANGTFYVSTNKGASFSATVTAGIPAAARKFKAVYGREGDIWLAGGSSTTTYGLWRSTNSGASFTKLASVQEADNVTFGKAATGATYPAIYIIGKVDNVRGVFRSTNEGASWVRINDDQRQYGNFGEAISGDPRIYGRLYLGTNGRGLLYGDSAHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNHMSAIKPDMKINLRMEGNVNGHHFVIDGDGTGKPFEGKQSMDLEVKEGGPLPFAFDILTTAFNRVFAEYPDHIQDYFKQSFPKGYSWERSLTFEDGGICIARNDITMEGDTFYNKVRFHGVNFPANGPVMQKKTLKWEPSTEKMYVRDGVLTGDITMALLLEGNAHYRCDSRTTYKAKEKGVKLPGYHLVDHCIEILSHDKDYNKVKLYEHAVAHSGLPDNIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSHQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGSEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSHQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGSEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSHQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGSEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSIIKEFMRFKTHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSHQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGSEASSERMYPEDGALKGEIKLRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSFQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGAEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSFQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGAEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSFQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGAEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSFQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGAEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSYQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGGEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSYQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGGEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSYQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGGEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSMAIIKEFMRFKVHMEGSVNGHEFEIEGEGEGRPYEGTQTAKLKVTKGGPLPFAWDILSYQFSKAYVKHPADIPDYLKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGEFIYKVKLHGTNFPSDGPVMQKKTMGGEASSERMYPEDGALKGEIKVRLKLKDGGHYDAEVKTTYKAKKPVQLPGAYNANYKLDITSHNEDYTIVEQYERCEGRHSGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQGALSKDPNEKRDHMVLLEFVTAAGITHGMDEMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFSRYPDHMKRHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQGALSKDPNEKRDHMVLLEFVTAAGITHGKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLRKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLRKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLRKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLRKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLKSLTGKWTNDLGSNMTIGAVNSRGEFTGTYTTAVTATSNEIKESPLHGTQNTINKRTQPTFGFTVNWKFSESTTVFTGQFIDRNGKEVLKTMWLLRSSVNDIGDDWKATRVGINIFTRLKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNAISDNVYITADKQKNGIKANFKIRHNIEDGGVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITGSNSILGQVGRQLALIGDDICRRYDTEFQNLLEQLQPTAGNAYELFTKIASSLFKSGISWGRVVALLGFGYRLALYVYQRGMSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTFVQCFARYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSNLSKDPNEKRDHMVLLEFVTAAGITGSNSILGQVGRQLALIGDDICRRYDTEFQNLLEQLQPTAGNAYELFTKIASSLFKSGISWGRVVALLGFGYRLALYVYQRGGPVWRKHYITYRINNYTPDMNREDVDYAIRKAFQVWSNVTPLKFSKINTGMADILVVFARGAHGDDHAFDGKGGILAHAFGPGSGIGGDAHFDEDEFWTTHSGGTNLFLTAVHEIGHSLGLGHSSDPKAVMFPTYAYVDINTFRLSADDIRGIQSLYGGPVWRKHYITYRINNYTPDMNREDVDYAIRKAFQVWSNVTPLKFSKINTGMADILVVFARGAHGDDHAFDGKGGILAHAFGPGSGIGGDAHFDEDEFWTTHSGGTNLFLTAVHEIGHSLGLGHSSDPKAVMFPTYAYVDINTFRLSADDIRGIQSLYGMVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYISHNVYITADKQKNGIKANFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITSSWWSHVEMGPPDPILGVTEAFKRDTNSKKMNLGVGAYRDDNGKPYVLNCVRKAEAMIAAKKMDKEYLPIAGLADFTRASAELALGENSEAFKSGRYVTVQGISGTGSLRVGANFLQRFFKFSRDVYLPKPSWGNHTPIFRDAGLQLQAYRYYDPKTCSLDFTGAMEDISKIPEKSIILLHACAHNPTGVDPRQEQWKELASVVKKRNLLAYFDMAYQGFASGDINRDAWALRHFIEQGIDVVLSQSYAKNMGLYGERAGAFTVICRDAEEAKRVESQLKILIRPMYSNPPMNGARIASLILNTPELRKEWLVEVKGMADRIISMRTQLVSNLKKEGSSHNWQHITDQIGMFCFTGLKPEQVERLTKEFSIYMTKDGRISVAGVASSNVGYLAHAIHQVTKSSWWSHVEMGPPDPILGVTEAFKRDTNSKKMNLGVGAYRDDNGKPYVLNCVRKAEAMIAAKKMDKEYLPIAGLADFTRASAELALGENSEAFKSGRYVTVQGISGTGSLRVGANFLQRFFKFSRDVYLPKPSWGNHTPIFRDAGLQLQAYRYYDPKTCSLDFTGAMEDISKIPEKSIILLHACAHNPTGVDPRQEQWKELASVVKKRNLLAYFDMAYQGFASGDINRDAWALRHFIEQGIDVVLSQSYAKNMGLYGERAGAFTVICRDAEEAKRVESQLKILIRPMYSNPPMNGARIASLILNTPELRKEWLVEVKGMADRIISMRTQLVSNLKKEGSSHNWQHITDQIGMFCFTGLKPEQVERLTKEFSIYMTKDGRISVAGVASSNVGYLAHAIHQVTKSSWWSHVEMGPPDPILGVTEAFKRDTNSKKMNLGVGAYRDDNGKPYVLNCVRKAEAMIAAKKMDKEYLPIAGLADFTRASAELALGENSEAFKSGRYVTVQGISGTGSLRVGANFLQRFFKFSRDVYLPKPSWGNHTPIFRDAGLQLQAYRYYDPKTCSLDFTGAMEDISKIPEKSIILLHACAHNPTGVDPRQEQWKELASVVKKRNLLAYFDMAYQGFASGDINRDAWALRHFIEQGIDVVLSQSYAKNMGLYGERAGAFTVICRDAEEAKRVESQLKILIRPMYSNPPMNGARIASLILNTPELRKEWLVEVKGMADRIISMRTQLVSNLKKEGSSHNWQHITDQIGMFCFTGLKPEQVERLTKEFSIYMTKDGRISVAGVASSNVGYLAHAIHQVTKSSWWSHVEMGPPDPILGVTEAFKRDTNSKKMNLGVGAYRDDNGKPYVLNCVRKAEAMIAAKKMDKEYLPIAGLADFTRASAELALGENSEAFKSGRYVTVQGISGTGSLRVGANFLQRFFKFSRDVYLPKPSWGNHTPIFRDAGLQLQAYRYYDPKTCSLDFTGAMEDISKIPEKSIILLHACAHNPTGVDPRQEQWKELASVVKKRNLLAYFDMAYQGFASGDINRDAWALRHFIEQGIDVVLSQSYAKNMGLYGERAGAFTVICRDAEEAKRVESQLKILIRPMYSNPPMNGARIASLILNTPELRKEWLVEVKGMADRIISMRTQLVSNLKKEGSSHNWQHITDQIGMFCFTGLKPEQVERLTKEFSIYMTKDGRISVAGVASSNVGYLAHAIHQVTKSSWWSHVEMGPPDPILGVTEAFKRDTNSKKMNLGVGAYRDDNGKPYVLNCVRKAEAMIAAKKMDKEYLPIAGLADFTRASAELALGENSEAFKSGRYVTVQGISGTGSLRVGANFLQRFFKFSRDVYLPKPSWGNHTPIFRDAGLQLQAYRYYDPKTCSLDFTGAMEDISKIPEKSIILLHACAHNPTGVDPRQEQWKELASVVKKRNLLAYFDMAYQGFASGDINRDAWALRHFIEQGIDVVLSQSYAKNMGLYGERAGAFTVICRDAEEAKRVESQLKILIRPMYSNPPMNGARIASLILNTPELRKEWLVEVKGMADRIISMRTQLVSNLKKEGSSHNWQHITDQIGMFCFTGLKPEQVERLTKEFSIYMTKDGRISVAGVASSNVGYLAHAIHQVTKSSWWSHVEMGPPDPILGVTEAFKRDTNSKKMNLGVGAYRDDNGKPYVLNCVRKAEAMIAAKKMDKEYLPIAGLADFTRASAELALGENSEAFKSGRYVTVQGISGTGSLRVGANFLQRFFKFSRDVYLPKPSWGNHTPIFRDAGLQLQAYRYYDPKTCSLDFTGAMEDISKIPEKSIILLHACAHNPTGVDPRQEQWKELASVVKKRNLLAYFDMAYQGFASGDINRDAWALRHFIEQGIDVVLSQSYAKNMGLYGERAGAFTVICRDAEEAKRVESQLKILIRPMYSNPPMNGARIASLILNTPELRKEWLVEVKGMADRIISMRTQLVSNLKKEGSSHNWQHITDQIGMFCFTGLKPEQVERLTKEFSIYMTKDGRISVAGVASSNVGYLAHAIHQVTK'
| 23,107.117647
| 392,118
| 0.998987
| 156
| 392,821
| 2,515.480769
| 0.365385
| 0.000051
| 0.000015
| 0.00002
| 0.000178
| 0.000178
| 0.000178
| 0.000178
| 0.000178
| 0.000178
| 0
| 0.00013
| 0.00028
| 392,821
| 17
| 392,118
| 23,107.117647
| 0.999116
| 0.000412
| 0
| 0
| 0
| 0
| 0.99877
| 0.998597
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
6ed3595d763d88741181a6df8752c5bd6ff63fda
| 4,293
|
py
|
Python
|
tests/test_utils.py
|
eras/TeslaBot
|
3ed7892fc87cf943e17c13e5e7fef59018a2fdc7
|
[
"MIT"
] | null | null | null |
tests/test_utils.py
|
eras/TeslaBot
|
3ed7892fc87cf943e17c13e5e7fef59018a2fdc7
|
[
"MIT"
] | null | null | null |
tests/test_utils.py
|
eras/TeslaBot
|
3ed7892fc87cf943e17c13e5e7fef59018a2fdc7
|
[
"MIT"
] | null | null | null |
import asyncio
import unittest
import time
from typing import List
from teslabot import utils
class TestUtils(unittest.TestCase):
def __init__(self, method_name: str) -> None:
super().__init__(method_name)
self.longMessage = True
def test_call_with_delay_info(self) -> None:
with self.subTest():
async def test() -> None:
report = []
async def report_fn() -> None:
report.append(True)
async def work_fn() -> int:
return 4
t0 = time.monotonic()
value = await utils.call_with_delay_info(0.1,
report_fn,
work_fn())
t1 = time.monotonic()
self.assertEqual(value, 4)
self.assertEqual(report, [])
self.assertAlmostEqual(t1 - t0, 0.0, places=2)
asyncio.get_event_loop().run_until_complete(test())
with self.subTest():
async def test2() -> None:
report = []
async def report_fn() -> None:
report.append(True)
async def work_fn() -> int:
await asyncio.sleep(0.2)
return 4
t0 = time.monotonic()
value = await utils.call_with_delay_info(0.1,
report_fn,
work_fn())
t1 = time.monotonic()
self.assertEqual(value, 4)
self.assertEqual(report, [True])
self.assertAlmostEqual(t1 - t0, 0.2, places=2)
asyncio.get_event_loop().run_until_complete(test2())
with self.subTest():
async def test3() -> None:
report = []
async def report_fn() -> None:
report.append(True)
async def work_fn() -> int:
raise Exception("err")
t0 = time.monotonic()
with self.assertRaises(Exception):
value = await utils.call_with_delay_info(0.1,
report_fn,
work_fn())
t1 = time.monotonic()
self.assertEqual(report, [])
self.assertAlmostEqual(t1 - t0, 0.0, places=2)
asyncio.get_event_loop().run_until_complete(test3())
with self.subTest():
async def test4() -> None:
report = []
async def report_fn() -> None:
report.append(True)
async def work_fn() -> int:
await asyncio.sleep(0.2)
raise Exception("err")
t0 = time.monotonic()
with self.assertRaises(Exception):
value = await utils.call_with_delay_info(0.1,
report_fn,
work_fn())
t1 = time.monotonic()
self.assertEqual(report, [True])
self.assertAlmostEqual(t1 - t0, 0.2, places=2)
asyncio.get_event_loop().run_until_complete(test4())
with self.subTest():
async def test5() -> None:
report: List[bool] = []
async def report_fn() -> None:
raise Exception("err")
async def work_fn() -> int:
await asyncio.sleep(0.2)
raise Exception("err")
t0 = time.monotonic()
with self.assertRaises(Exception):
value = await utils.call_with_delay_info(0.1,
report_fn,
work_fn())
t1 = time.monotonic()
self.assertEqual(report, [])
self.assertAlmostEqual(t1 - t0, 0.0, places=2)
asyncio.get_event_loop().run_until_complete(test3())
| 42.93
| 71
| 0.433962
| 387
| 4,293
| 4.635659
| 0.162791
| 0.06689
| 0.043478
| 0.056856
| 0.843367
| 0.768116
| 0.768116
| 0.768116
| 0.768116
| 0.768116
| 0
| 0.02795
| 0.474959
| 4,293
| 99
| 72
| 43.363636
| 0.767968
| 0
| 0
| 0.795699
| 0
| 0
| 0.002795
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 1
| 0.021505
| false
| 0
| 0.053763
| 0
| 0.107527
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
6edccaaf6ab92befb4dd4b29f0e5913704ce2761
| 8,024
|
py
|
Python
|
SCaReM/test/testViewsCrud.py
|
mariagullickson/SCaReM
|
84617cd3a2d4dbfb2aaf2d3d89a8e872fccc7868
|
[
"MIT"
] | null | null | null |
SCaReM/test/testViewsCrud.py
|
mariagullickson/SCaReM
|
84617cd3a2d4dbfb2aaf2d3d89a8e872fccc7868
|
[
"MIT"
] | 3
|
2020-02-12T00:27:55.000Z
|
2021-06-10T20:05:12.000Z
|
SCaReM/test/testViewsCrud.py
|
mariagullickson/SCaReM
|
84617cd3a2d4dbfb2aaf2d3d89a8e872fccc7868
|
[
"MIT"
] | null | null | null |
from django.test import TestCase
from django.http import HttpRequest, QueryDict
import django.contrib.messages
from SCaReM import views_crud
from SCaReM.models import Reservation, Resource, Camp
class TestViewsCrud(TestCase):
def setUp(self):
# gotta have a camp
self.camp = Camp.objects.create(name="camp pmac")
# gotta have a resource
self.resource = Resource.objects.create(name="third floor attic")
def testAssembleReservationNoEvent(self):
request = HttpRequest()
request.POST = QueryDict('', mutable=True)
request.POST.update({
'event': None,
'owner': 'Wilmur',
'notes': 'This will be fun',
'camp': self.camp.id,
'resources': self.resource.id,
'start_date': '08/04/2030',
'end_date': '08/04/2030',
'start_time': '10:00 AM',
'end_time': '11:00 AM',
})
from django.contrib.messages.storage.fallback import FallbackStorage
setattr(request, 'session', 'session')
messages = FallbackStorage(request)
setattr(request, '_messages', messages)
form_values = {}
(reservation, resources, error) = views_crud._assemble_reservation(
request, form_values)
self.assertTrue(error)
self.assertEqual(1, len(messages._queued_messages))
self.assertEqual(django.contrib.messages.ERROR,
messages._queued_messages[0].level)
self.assertEqual('You must specify an Event.',
messages._queued_messages[0].message)
self.assertEqual(1, len(resources))
self.assertEqual(self.resource.id, resources[0].id)
self.assertEqual('Wilmur', reservation.owner)
self.assertEqual('This will be fun', reservation.notes)
self.assertEqual(self.camp.id, reservation.camp.id)
self.assertEqual(2030, reservation.start_time.year)
self.assertEqual(8, reservation.start_time.month)
self.assertEqual(4, reservation.start_time.day)
self.assertEqual(10, reservation.start_time.hour)
self.assertEqual(0, reservation.start_time.minute)
self.assertEqual(2030, reservation.end_time.year)
self.assertEqual(8, reservation.end_time.month)
self.assertEqual(4, reservation.end_time.day)
self.assertEqual(11, reservation.end_time.hour)
self.assertEqual(0, reservation.end_time.minute)
self.assertEqual([self.resource.id], form_values['resource_values'])
self.assertEqual('Wilmur', form_values['owner_value'])
self.assertEqual('This will be fun', form_values['notes_value'])
self.assertEqual(self.camp.id, form_values['camp_value'])
self.assertEqual('08/04/2030', form_values['start_date_value'])
self.assertEqual('08/04/2030', form_values['end_date_value'])
self.assertEqual('10:00 AM', form_values['start_time_value'])
self.assertEqual('11:00 AM', form_values['end_time_value'])
def testAssembleReservationNoOwnerOrCamp(self):
request = HttpRequest()
request.POST = QueryDict('', mutable=True)
request.POST.update({
'event': 'Dance',
'owner': None,
'notes': 'This will be fun',
'camp': None,
'resources': self.resource.id,
'start_date': '08/04/2030',
'end_date': '08/04/2030',
'start_time': '10:00 AM',
'end_time': '11:00 AM',
})
from django.contrib.messages.storage.fallback import FallbackStorage
setattr(request, 'session', 'session')
messages = FallbackStorage(request)
setattr(request, '_messages', messages)
form_values = {}
(reservation, resources, error) = views_crud._assemble_reservation(
request, form_values)
self.assertTrue(error)
self.assertEqual(2, len(messages._queued_messages))
self.assertEqual(django.contrib.messages.ERROR,
messages._queued_messages[0].level)
self.assertEqual('You must specify an Owner.',
messages._queued_messages[0].message)
self.assertEqual(django.contrib.messages.ERROR,
messages._queued_messages[1].level)
self.assertEqual('You must specify a Camp.',
messages._queued_messages[1].message)
self.assertEqual(1, len(resources))
self.assertEqual(self.resource.id, resources[0].id)
self.assertEqual('Dance', reservation.event)
self.assertEqual('This will be fun', reservation.notes)
self.assertEqual(2030, reservation.start_time.year)
self.assertEqual(8, reservation.start_time.month)
self.assertEqual(4, reservation.start_time.day)
self.assertEqual(10, reservation.start_time.hour)
self.assertEqual(0, reservation.start_time.minute)
self.assertEqual(2030, reservation.end_time.year)
self.assertEqual(8, reservation.end_time.month)
self.assertEqual(4, reservation.end_time.day)
self.assertEqual(11, reservation.end_time.hour)
self.assertEqual(0, reservation.end_time.minute)
self.assertEqual([self.resource.id], form_values['resource_values'])
self.assertEqual('This will be fun', form_values['notes_value'])
self.assertEqual('08/04/2030', form_values['start_date_value'])
self.assertEqual('08/04/2030', form_values['end_date_value'])
self.assertEqual('10:00 AM', form_values['start_time_value'])
self.assertEqual('11:00 AM', form_values['end_time_value'])
def testAssembleReservationHappyPath(self):
request = HttpRequest()
request.POST = QueryDict('', mutable=True)
request.POST.update({
'reservation_id': 11,
'event': 'Dance',
'owner': 'Wilmur',
'notes': 'This will be fun',
'camp': self.camp.id,
'resources': self.resource.id,
'start_date': '08/04/2030',
'end_date': '08/04/2030',
'start_time': '10:00 AM',
'end_time': '11:00 AM',
})
form_values = {}
(reservation, resources, error) = views_crud._assemble_reservation(
request, form_values)
self.assertFalse(error)
self.assertEqual(1, len(resources))
self.assertEqual(self.resource.id, resources[0].id)
self.assertEqual(11, reservation.id)
self.assertEqual('Dance', reservation.event)
self.assertEqual('Wilmur', reservation.owner)
self.assertEqual('This will be fun', reservation.notes)
self.assertEqual(self.camp.id, reservation.camp.id)
self.assertEqual(2030, reservation.start_time.year)
self.assertEqual(8, reservation.start_time.month)
self.assertEqual(4, reservation.start_time.day)
self.assertEqual(10, reservation.start_time.hour)
self.assertEqual(0, reservation.start_time.minute)
self.assertEqual(2030, reservation.end_time.year)
self.assertEqual(8, reservation.end_time.month)
self.assertEqual(4, reservation.end_time.day)
self.assertEqual(11, reservation.end_time.hour)
self.assertEqual(0, reservation.end_time.minute)
self.assertEqual([self.resource.id], form_values['resource_values'])
self.assertEqual(11, form_values['reservation_id'])
self.assertEqual('Dance', form_values['event_value'])
self.assertEqual('Wilmur', form_values['owner_value'])
self.assertEqual('This will be fun', form_values['notes_value'])
self.assertEqual(self.camp.id, form_values['camp_value'])
self.assertEqual('08/04/2030', form_values['start_date_value'])
self.assertEqual('08/04/2030', form_values['end_date_value'])
self.assertEqual('10:00 AM', form_values['start_time_value'])
self.assertEqual('11:00 AM', form_values['end_time_value'])
| 45.851429
| 76
| 0.644442
| 912
| 8,024
| 5.519737
| 0.10307
| 0.23242
| 0.067541
| 0.023242
| 0.889352
| 0.87942
| 0.868296
| 0.857767
| 0.846047
| 0.833532
| 0
| 0.035349
| 0.231431
| 8,024
| 174
| 77
| 46.114943
| 0.780931
| 0.00486
| 0
| 0.826923
| 0
| 0
| 0.13781
| 0
| 0
| 0
| 0
| 0
| 0.519231
| 1
| 0.025641
| false
| 0
| 0.044872
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 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
| 9
|
42b6947505bf48808e0c48099b67f279d5e0145d
| 5,478
|
py
|
Python
|
tests/test_server04.py
|
webbcam/debugserver-js
|
d82266538c1a24668f9a2f28f26c24f8415352fe
|
[
"MIT"
] | null | null | null |
tests/test_server04.py
|
webbcam/debugserver-js
|
d82266538c1a24668f9a2f28f26c24f8415352fe
|
[
"MIT"
] | null | null | null |
tests/test_server04.py
|
webbcam/debugserver-js
|
d82266538c1a24668f9a2f28f26c24f8415352fe
|
[
"MIT"
] | null | null | null |
import pytest
import time
from test_helpers import create_socket, send_msg, assert_msg_ok, assert_msg_fail
from test_setup import CCXML_PATH, CONNECTION, DEVICETYPE, SESSION
def test_server_create_session(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
assert result["data"]["name"] == SESSION
sessionPort = result["data"]["port"]
s2 = create_socket(connect=True, port=sessionPort)
# Check we can send a command successfully
d = {"name": "connect"}
result = send_msg(s2, d)
assert_msg_ok(result)
s2.close()
s.close()
def test_server_stop_session(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
assert result["data"]["name"] == SESSION
sessionPort = result["data"]["port"]
s2 = create_socket(connect=True, port=sessionPort)
d = {"name": "connect"}
result = send_msg(s2, d)
assert_msg_ok(result)
d = {"name": "stop"}
result = send_msg(s2, d)
assert_msg_ok(result)
s2.close()
s.close()
def test_server_terminate_session(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
sessionPort = result["data"]["port"]
s2 = create_socket(connect=True, port=sessionPort)
d = {"name": "connect"}
result = send_msg(s2, d)
assert_msg_ok(result)
s2.close()
d = {"name": "terminateSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
time.sleep(2) # Give time to close down
# Check that port was closed on server side
with pytest.raises(Exception):
s2 = create_socket(connect=True, port=sessionPort)
def test_server_stop_and_terminate_session(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
assert result["data"]["name"] == SESSION
sessionPort = result["data"]["port"]
s2 = create_socket(connect=True, port=sessionPort)
d = {"name": "connect"}
result = send_msg(s2, d)
assert_msg_ok(result)
d = {"name": "stop"}
result = send_msg(s2, d)
assert_msg_ok(result)
s2.close()
time.sleep(2)
d = {"name": "terminateSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
time.sleep(2) # Give time to close down
# Check that port was closed on server side
with pytest.raises(Exception):
s2 = create_socket(connect=True, port=sessionPort)
def test_server_create_existing_session_fail(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
assert result["data"]["name"] == SESSION
sessionPort = result["data"]["port"]
s2 = create_socket(connect=True, port=sessionPort)
# Check we can send a command successfully
d = {"name": "connect"}
result = send_msg(s2, d)
assert_msg_ok(result)
# Try to open an existing session
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_fail(result)
def test_server_kill_with_session_open(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
sessionPort = result["data"]["port"]
s2 = create_socket(connect=True, port=sessionPort)
# Check we can send a command successfully
d = {"name": "connect"}
result = send_msg(s2, d)
s2.close()
# Send kill command to server
d = {"name": "killServer"}
result = send_msg(s, d)
assert_msg_ok(result)
s.close()
def test_server_get_list_of_sessions(debug_server):
s = create_socket(connect=True)
d = {"name": "setConfig", "args": {
"path": CCXML_PATH
}
}
result = send_msg(s, d)
assert_msg_ok(result)
d = {"name": "openSession", "args": {"name": SESSION}}
result = send_msg(s, d)
assert_msg_ok(result)
sessionPort = result["data"]["port"]
d = {"name": "getListOfSessions"}
result = send_msg(s, d)
assert_msg_ok(result)
assert result['data'][0]['name'] == SESSION
assert result['data'][0]['port'] == sessionPort
| 23.310638
| 80
| 0.606243
| 704
| 5,478
| 4.509943
| 0.100852
| 0.061732
| 0.110551
| 0.094488
| 0.873386
| 0.867402
| 0.867402
| 0.867402
| 0.867402
| 0.857323
| 0
| 0.006295
| 0.246075
| 5,478
| 234
| 81
| 23.410256
| 0.76247
| 0.05732
| 0
| 0.803922
| 0
| 0
| 0.117967
| 0
| 0
| 0
| 0
| 0
| 0.215686
| 1
| 0.045752
| false
| 0
| 0.026144
| 0
| 0.071895
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
42e5d853076cfba24ee3b4a8d26aae409913f882
| 141,590
|
py
|
Python
|
gnosis/eth/tests/mocks/mock_trace_transaction.py
|
titandac/gnosis-py
|
cf0af4f25e64b22256eabb415d0f3fe3a6180b14
|
[
"MIT"
] | 64
|
2018-09-26T19:56:50.000Z
|
2022-03-18T21:45:59.000Z
|
gnosis/eth/tests/mocks/mock_trace_transaction.py
|
zhanghao-ic/gnosis-py
|
d2a5912547b7d1b576c826909f4c1d0155db536f
|
[
"MIT"
] | 151
|
2018-09-10T21:42:05.000Z
|
2022-03-31T12:33:31.000Z
|
gnosis/eth/tests/mocks/mock_trace_transaction.py
|
zhanghao-ic/gnosis-py
|
d2a5912547b7d1b576c826909f4c1d0155db536f
|
[
"MIT"
] | 50
|
2018-12-13T20:43:46.000Z
|
2022-03-30T09:32:32.000Z
|
from hexbytes import HexBytes
trace_transaction_mocks = {
"0x0b04589bdc11585fb98f270b1bfeff0fb3bbb3c56d35b104f62d8115d6f7c57f": [
{
"action": {
"from": "0xD7Df5bf3B8d2bd159664dF54A30101d7FAF6cA26",
"gas": 4734071,
"value": 0,
"callType": "call",
"input": HexBytes(
"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"
),
"to": "0x4e59b44847b379578588920cA78FbF26c0B4956C",
},
"blockHash": "0x4160d3b92f3678386a108e0838016dd3010ba12389712a30f2b017d33799d05e",
"blockNumber": 12504268,
"result": {
"gasUsed": 4660797,
"output": HexBytes("0xd9db270c1b5e3bd161e8c8503c55ceabee709552"),
},
"subtraces": 1,
"traceAddress": [],
"transactionHash": "0x0b04589bdc11585fb98f270b1bfeff0fb3bbb3c56d35b104f62d8115d6f7c57f",
"transactionPosition": 12,
"type": "call",
},
{
"action": {
"from": "0x4e59b44847b379578588920cA78FbF26c0B4956C",
"gas": 4619079,
"value": 0,
"init": HexBytes(
"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"
),
},
"blockHash": "0x4160d3b92f3678386a108e0838016dd3010ba12389712a30f2b017d33799d05e",
"blockNumber": 12504268,
"result": {
"gasUsed": 4619079,
"code": HexBytes(
"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"
),
"address": "0xd9Db270c1B5E3Bd161E8c8503c55cEABeE709552",
},
"subtraces": 0,
"traceAddress": [0],
"transactionHash": "0x0b04589bdc11585fb98f270b1bfeff0fb3bbb3c56d35b104f62d8115d6f7c57f",
"transactionPosition": 12,
"type": "create",
},
],
"0xf325b4e52d0649593e8c82f35bd389c13c13b21b61bc17de295979a21e5cfdc0": [
{
"action": {
"from": "0xD20DB445a971598688e5C02BD577E21Fd3577f04",
"gas": 6698591,
"value": 0,
"callType": "call",
"input": HexBytes(
"0xb63e800d0000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000200000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000160000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000020000000000000000000000000000000000000000000000000000000000000002000000000000000000000000000000000000000000000000000000000000000300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"
),
"to": "0xaE32496491b53841efb51829d6f886387708F99B",
},
"blockHash": "0xcdb7884d4d2c4565c3408092527196e90010a683d45decbe1ed6a12904700b19",
"blockNumber": 8915756,
"result": {"gasUsed": 145115, "output": HexBytes("0x")},
"subtraces": 0,
"traceAddress": [],
"transactionHash": "0xf325b4e52d0649593e8c82f35bd389c13c13b21b61bc17de295979a21e5cfdc0",
"transactionPosition": 15,
"type": "call",
}
],
}
| 1,863.026316
| 46,086
| 0.990402
| 107
| 141,590
| 1,310.551402
| 0.485981
| 0.000214
| 0.0002
| 0.000257
| 0.00348
| 0.001968
| 0
| 0
| 0
| 0
| 0
| 0.686919
| 0.007493
| 141,590
| 75
| 46,087
| 1,887.866667
| 0.310947
| 0
| 0
| 0.432432
| 0
| 0
| 0.989173
| 0.98627
| 0
| 1
| 0.98627
| 0
| 0
| 1
| 0
| false
| 0
| 0.013514
| 0
| 0.013514
| 0
| 0
| 0
| 1
| 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 | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
6e4e07118f1c7c4a6f02eb2f9852f27fab5afee5
| 25,698
|
py
|
Python
|
v6.0.5/user/test_fortios_user_radius.py
|
fortinet-solutions-cse/ansible_fgt_modules
|
c45fba49258d7c9705e7a8fd9c2a09ea4c8a4719
|
[
"Apache-2.0"
] | 14
|
2018-09-25T20:35:25.000Z
|
2021-07-14T04:30:54.000Z
|
v6.0.5/user/test_fortios_user_radius.py
|
fortinet-solutions-cse/ansible_fgt_modules
|
c45fba49258d7c9705e7a8fd9c2a09ea4c8a4719
|
[
"Apache-2.0"
] | 32
|
2018-10-09T04:13:42.000Z
|
2020-05-11T07:20:28.000Z
|
v6.0.5/user/test_fortios_user_radius.py
|
fortinet-solutions-cse/ansible_fgt_modules
|
c45fba49258d7c9705e7a8fd9c2a09ea4c8a4719
|
[
"Apache-2.0"
] | 11
|
2018-10-09T00:14:53.000Z
|
2021-11-03T10:54:09.000Z
|
# Copyright 2019 Fortinet, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <https://www.gnu.org/licenses/>.
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import json
import pytest
from mock import ANY
from ansible.module_utils.network.fortios.fortios import FortiOSHandler
try:
from ansible.modules.network.fortios import fortios_user_radius
except ImportError:
pytest.skip("Could not load required modules for testing", allow_module_level=True)
@pytest.fixture(autouse=True)
def connection_mock(mocker):
connection_class_mock = mocker.patch('ansible.modules.network.fortios.fortios_user_radius.Connection')
return connection_class_mock
fos_instance = FortiOSHandler(connection_mock)
def test_user_radius_creation(mocker):
schema_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.schema')
set_method_result = {'status': 'success', 'http_method': 'POST', 'http_status': 200}
set_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.set', return_value=set_method_result)
input_data = {
'username': 'admin',
'state': 'present',
'user_radius': {'acct_all_servers': 'enable',
'acct_interim_interval': '4',
'all_usergroup': 'disable',
'auth_type': 'auto',
'h3c_compatibility': 'enable',
'name': 'default_name_8',
'nas_ip': 'test_value_9',
'password_encoding': 'auto',
'password_renewal': 'enable',
'radius_coa': 'enable',
'radius_port': '13',
'rsso': 'enable',
'rsso_context_timeout': '15',
'rsso_endpoint_attribute': 'User-Name',
'rsso_endpoint_block_attribute': 'User-Name',
'rsso_ep_one_ip_only': 'enable',
'rsso_flush_ip_session': 'enable',
'rsso_log_flags': 'protocol-error',
'rsso_log_period': '21',
'rsso_radius_response': 'enable',
'rsso_radius_server_port': '23',
'rsso_secret': 'test_value_24',
'rsso_validate_request_secret': 'enable',
'secondary_secret': 'test_value_26',
'secondary_server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source_ip': '84.230.14.30',
'sso_attribute': 'User-Name',
'sso_attribute_key': 'test_value_32',
'sso_attribute_value_override': 'enable',
'tertiary_secret': 'test_value_34',
'tertiary_server': 'test_value_35',
'timeout': '36',
'use_management_vdom': 'enable',
'username_case_sensitive': 'enable'
},
'vdom': 'root'}
is_error, changed, response = fortios_user_radius.fortios_user(input_data, fos_instance)
expected_data = {'acct-all-servers': 'enable',
'acct-interim-interval': '4',
'all-usergroup': 'disable',
'auth-type': 'auto',
'h3c-compatibility': 'enable',
'name': 'default_name_8',
'nas-ip': 'test_value_9',
'password-encoding': 'auto',
'password-renewal': 'enable',
'radius-coa': 'enable',
'radius-port': '13',
'rsso': 'enable',
'rsso-context-timeout': '15',
'rsso-endpoint-attribute': 'User-Name',
'rsso-endpoint-block-attribute': 'User-Name',
'rsso-ep-one-ip-only': 'enable',
'rsso-flush-ip-session': 'enable',
'rsso-log-flags': 'protocol-error',
'rsso-log-period': '21',
'rsso-radius-response': 'enable',
'rsso-radius-server-port': '23',
'rsso-secret': 'test_value_24',
'rsso-validate-request-secret': 'enable',
'secondary-secret': 'test_value_26',
'secondary-server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source-ip': '84.230.14.30',
'sso-attribute': 'User-Name',
'sso-attribute-key': 'test_value_32',
'sso-attribute-value-override': 'enable',
'tertiary-secret': 'test_value_34',
'tertiary-server': 'test_value_35',
'timeout': '36',
'use-management-vdom': 'enable',
'username-case-sensitive': 'enable'
}
set_method_mock.assert_called_with('user', 'radius', data=expected_data, vdom='root')
schema_method_mock.assert_not_called()
assert not is_error
assert changed
assert response['status'] == 'success'
assert response['http_status'] == 200
def test_user_radius_creation_fails(mocker):
schema_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.schema')
set_method_result = {'status': 'error', 'http_method': 'POST', 'http_status': 500}
set_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.set', return_value=set_method_result)
input_data = {
'username': 'admin',
'state': 'present',
'user_radius': {'acct_all_servers': 'enable',
'acct_interim_interval': '4',
'all_usergroup': 'disable',
'auth_type': 'auto',
'h3c_compatibility': 'enable',
'name': 'default_name_8',
'nas_ip': 'test_value_9',
'password_encoding': 'auto',
'password_renewal': 'enable',
'radius_coa': 'enable',
'radius_port': '13',
'rsso': 'enable',
'rsso_context_timeout': '15',
'rsso_endpoint_attribute': 'User-Name',
'rsso_endpoint_block_attribute': 'User-Name',
'rsso_ep_one_ip_only': 'enable',
'rsso_flush_ip_session': 'enable',
'rsso_log_flags': 'protocol-error',
'rsso_log_period': '21',
'rsso_radius_response': 'enable',
'rsso_radius_server_port': '23',
'rsso_secret': 'test_value_24',
'rsso_validate_request_secret': 'enable',
'secondary_secret': 'test_value_26',
'secondary_server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source_ip': '84.230.14.30',
'sso_attribute': 'User-Name',
'sso_attribute_key': 'test_value_32',
'sso_attribute_value_override': 'enable',
'tertiary_secret': 'test_value_34',
'tertiary_server': 'test_value_35',
'timeout': '36',
'use_management_vdom': 'enable',
'username_case_sensitive': 'enable'
},
'vdom': 'root'}
is_error, changed, response = fortios_user_radius.fortios_user(input_data, fos_instance)
expected_data = {'acct-all-servers': 'enable',
'acct-interim-interval': '4',
'all-usergroup': 'disable',
'auth-type': 'auto',
'h3c-compatibility': 'enable',
'name': 'default_name_8',
'nas-ip': 'test_value_9',
'password-encoding': 'auto',
'password-renewal': 'enable',
'radius-coa': 'enable',
'radius-port': '13',
'rsso': 'enable',
'rsso-context-timeout': '15',
'rsso-endpoint-attribute': 'User-Name',
'rsso-endpoint-block-attribute': 'User-Name',
'rsso-ep-one-ip-only': 'enable',
'rsso-flush-ip-session': 'enable',
'rsso-log-flags': 'protocol-error',
'rsso-log-period': '21',
'rsso-radius-response': 'enable',
'rsso-radius-server-port': '23',
'rsso-secret': 'test_value_24',
'rsso-validate-request-secret': 'enable',
'secondary-secret': 'test_value_26',
'secondary-server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source-ip': '84.230.14.30',
'sso-attribute': 'User-Name',
'sso-attribute-key': 'test_value_32',
'sso-attribute-value-override': 'enable',
'tertiary-secret': 'test_value_34',
'tertiary-server': 'test_value_35',
'timeout': '36',
'use-management-vdom': 'enable',
'username-case-sensitive': 'enable'
}
set_method_mock.assert_called_with('user', 'radius', data=expected_data, vdom='root')
schema_method_mock.assert_not_called()
assert is_error
assert not changed
assert response['status'] == 'error'
assert response['http_status'] == 500
def test_user_radius_removal(mocker):
schema_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.schema')
delete_method_result = {'status': 'success', 'http_method': 'POST', 'http_status': 200}
delete_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.delete', return_value=delete_method_result)
input_data = {
'username': 'admin',
'state': 'absent',
'user_radius': {'acct_all_servers': 'enable',
'acct_interim_interval': '4',
'all_usergroup': 'disable',
'auth_type': 'auto',
'h3c_compatibility': 'enable',
'name': 'default_name_8',
'nas_ip': 'test_value_9',
'password_encoding': 'auto',
'password_renewal': 'enable',
'radius_coa': 'enable',
'radius_port': '13',
'rsso': 'enable',
'rsso_context_timeout': '15',
'rsso_endpoint_attribute': 'User-Name',
'rsso_endpoint_block_attribute': 'User-Name',
'rsso_ep_one_ip_only': 'enable',
'rsso_flush_ip_session': 'enable',
'rsso_log_flags': 'protocol-error',
'rsso_log_period': '21',
'rsso_radius_response': 'enable',
'rsso_radius_server_port': '23',
'rsso_secret': 'test_value_24',
'rsso_validate_request_secret': 'enable',
'secondary_secret': 'test_value_26',
'secondary_server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source_ip': '84.230.14.30',
'sso_attribute': 'User-Name',
'sso_attribute_key': 'test_value_32',
'sso_attribute_value_override': 'enable',
'tertiary_secret': 'test_value_34',
'tertiary_server': 'test_value_35',
'timeout': '36',
'use_management_vdom': 'enable',
'username_case_sensitive': 'enable'
},
'vdom': 'root'}
is_error, changed, response = fortios_user_radius.fortios_user(input_data, fos_instance)
delete_method_mock.assert_called_with('user', 'radius', mkey=ANY, vdom='root')
schema_method_mock.assert_not_called()
assert not is_error
assert changed
assert response['status'] == 'success'
assert response['http_status'] == 200
def test_user_radius_deletion_fails(mocker):
schema_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.schema')
delete_method_result = {'status': 'error', 'http_method': 'POST', 'http_status': 500}
delete_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.delete', return_value=delete_method_result)
input_data = {
'username': 'admin',
'state': 'absent',
'user_radius': {'acct_all_servers': 'enable',
'acct_interim_interval': '4',
'all_usergroup': 'disable',
'auth_type': 'auto',
'h3c_compatibility': 'enable',
'name': 'default_name_8',
'nas_ip': 'test_value_9',
'password_encoding': 'auto',
'password_renewal': 'enable',
'radius_coa': 'enable',
'radius_port': '13',
'rsso': 'enable',
'rsso_context_timeout': '15',
'rsso_endpoint_attribute': 'User-Name',
'rsso_endpoint_block_attribute': 'User-Name',
'rsso_ep_one_ip_only': 'enable',
'rsso_flush_ip_session': 'enable',
'rsso_log_flags': 'protocol-error',
'rsso_log_period': '21',
'rsso_radius_response': 'enable',
'rsso_radius_server_port': '23',
'rsso_secret': 'test_value_24',
'rsso_validate_request_secret': 'enable',
'secondary_secret': 'test_value_26',
'secondary_server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source_ip': '84.230.14.30',
'sso_attribute': 'User-Name',
'sso_attribute_key': 'test_value_32',
'sso_attribute_value_override': 'enable',
'tertiary_secret': 'test_value_34',
'tertiary_server': 'test_value_35',
'timeout': '36',
'use_management_vdom': 'enable',
'username_case_sensitive': 'enable'
},
'vdom': 'root'}
is_error, changed, response = fortios_user_radius.fortios_user(input_data, fos_instance)
delete_method_mock.assert_called_with('user', 'radius', mkey=ANY, vdom='root')
schema_method_mock.assert_not_called()
assert is_error
assert not changed
assert response['status'] == 'error'
assert response['http_status'] == 500
def test_user_radius_idempotent(mocker):
schema_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.schema')
set_method_result = {'status': 'error', 'http_method': 'DELETE', 'http_status': 404}
set_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.set', return_value=set_method_result)
input_data = {
'username': 'admin',
'state': 'present',
'user_radius': {'acct_all_servers': 'enable',
'acct_interim_interval': '4',
'all_usergroup': 'disable',
'auth_type': 'auto',
'h3c_compatibility': 'enable',
'name': 'default_name_8',
'nas_ip': 'test_value_9',
'password_encoding': 'auto',
'password_renewal': 'enable',
'radius_coa': 'enable',
'radius_port': '13',
'rsso': 'enable',
'rsso_context_timeout': '15',
'rsso_endpoint_attribute': 'User-Name',
'rsso_endpoint_block_attribute': 'User-Name',
'rsso_ep_one_ip_only': 'enable',
'rsso_flush_ip_session': 'enable',
'rsso_log_flags': 'protocol-error',
'rsso_log_period': '21',
'rsso_radius_response': 'enable',
'rsso_radius_server_port': '23',
'rsso_secret': 'test_value_24',
'rsso_validate_request_secret': 'enable',
'secondary_secret': 'test_value_26',
'secondary_server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source_ip': '84.230.14.30',
'sso_attribute': 'User-Name',
'sso_attribute_key': 'test_value_32',
'sso_attribute_value_override': 'enable',
'tertiary_secret': 'test_value_34',
'tertiary_server': 'test_value_35',
'timeout': '36',
'use_management_vdom': 'enable',
'username_case_sensitive': 'enable'
},
'vdom': 'root'}
is_error, changed, response = fortios_user_radius.fortios_user(input_data, fos_instance)
expected_data = {'acct-all-servers': 'enable',
'acct-interim-interval': '4',
'all-usergroup': 'disable',
'auth-type': 'auto',
'h3c-compatibility': 'enable',
'name': 'default_name_8',
'nas-ip': 'test_value_9',
'password-encoding': 'auto',
'password-renewal': 'enable',
'radius-coa': 'enable',
'radius-port': '13',
'rsso': 'enable',
'rsso-context-timeout': '15',
'rsso-endpoint-attribute': 'User-Name',
'rsso-endpoint-block-attribute': 'User-Name',
'rsso-ep-one-ip-only': 'enable',
'rsso-flush-ip-session': 'enable',
'rsso-log-flags': 'protocol-error',
'rsso-log-period': '21',
'rsso-radius-response': 'enable',
'rsso-radius-server-port': '23',
'rsso-secret': 'test_value_24',
'rsso-validate-request-secret': 'enable',
'secondary-secret': 'test_value_26',
'secondary-server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source-ip': '84.230.14.30',
'sso-attribute': 'User-Name',
'sso-attribute-key': 'test_value_32',
'sso-attribute-value-override': 'enable',
'tertiary-secret': 'test_value_34',
'tertiary-server': 'test_value_35',
'timeout': '36',
'use-management-vdom': 'enable',
'username-case-sensitive': 'enable'
}
set_method_mock.assert_called_with('user', 'radius', data=expected_data, vdom='root')
schema_method_mock.assert_not_called()
assert not is_error
assert not changed
assert response['status'] == 'error'
assert response['http_status'] == 404
def test_user_radius_filter_foreign_attributes(mocker):
schema_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.schema')
set_method_result = {'status': 'success', 'http_method': 'POST', 'http_status': 200}
set_method_mock = mocker.patch('ansible.module_utils.network.fortios.fortios.FortiOSHandler.set', return_value=set_method_result)
input_data = {
'username': 'admin',
'state': 'present',
'user_radius': {
'random_attribute_not_valid': 'tag', 'acct_all_servers': 'enable',
'acct_interim_interval': '4',
'all_usergroup': 'disable',
'auth_type': 'auto',
'h3c_compatibility': 'enable',
'name': 'default_name_8',
'nas_ip': 'test_value_9',
'password_encoding': 'auto',
'password_renewal': 'enable',
'radius_coa': 'enable',
'radius_port': '13',
'rsso': 'enable',
'rsso_context_timeout': '15',
'rsso_endpoint_attribute': 'User-Name',
'rsso_endpoint_block_attribute': 'User-Name',
'rsso_ep_one_ip_only': 'enable',
'rsso_flush_ip_session': 'enable',
'rsso_log_flags': 'protocol-error',
'rsso_log_period': '21',
'rsso_radius_response': 'enable',
'rsso_radius_server_port': '23',
'rsso_secret': 'test_value_24',
'rsso_validate_request_secret': 'enable',
'secondary_secret': 'test_value_26',
'secondary_server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source_ip': '84.230.14.30',
'sso_attribute': 'User-Name',
'sso_attribute_key': 'test_value_32',
'sso_attribute_value_override': 'enable',
'tertiary_secret': 'test_value_34',
'tertiary_server': 'test_value_35',
'timeout': '36',
'use_management_vdom': 'enable',
'username_case_sensitive': 'enable'
},
'vdom': 'root'}
is_error, changed, response = fortios_user_radius.fortios_user(input_data, fos_instance)
expected_data = {'acct-all-servers': 'enable',
'acct-interim-interval': '4',
'all-usergroup': 'disable',
'auth-type': 'auto',
'h3c-compatibility': 'enable',
'name': 'default_name_8',
'nas-ip': 'test_value_9',
'password-encoding': 'auto',
'password-renewal': 'enable',
'radius-coa': 'enable',
'radius-port': '13',
'rsso': 'enable',
'rsso-context-timeout': '15',
'rsso-endpoint-attribute': 'User-Name',
'rsso-endpoint-block-attribute': 'User-Name',
'rsso-ep-one-ip-only': 'enable',
'rsso-flush-ip-session': 'enable',
'rsso-log-flags': 'protocol-error',
'rsso-log-period': '21',
'rsso-radius-response': 'enable',
'rsso-radius-server-port': '23',
'rsso-secret': 'test_value_24',
'rsso-validate-request-secret': 'enable',
'secondary-secret': 'test_value_26',
'secondary-server': 'test_value_27',
'secret': 'test_value_28',
'server': '192.168.100.29',
'source-ip': '84.230.14.30',
'sso-attribute': 'User-Name',
'sso-attribute-key': 'test_value_32',
'sso-attribute-value-override': 'enable',
'tertiary-secret': 'test_value_34',
'tertiary-server': 'test_value_35',
'timeout': '36',
'use-management-vdom': 'enable',
'username-case-sensitive': 'enable'
}
set_method_mock.assert_called_with('user', 'radius', data=expected_data, vdom='root')
schema_method_mock.assert_not_called()
assert not is_error
assert changed
assert response['status'] == 'success'
assert response['http_status'] == 200
| 47.588889
| 142
| 0.502957
| 2,382
| 25,698
| 5.112511
| 0.096558
| 0.059123
| 0.049269
| 0.034488
| 0.915011
| 0.910166
| 0.902365
| 0.902365
| 0.902365
| 0.902365
| 0
| 0.032304
| 0.371196
| 25,698
| 539
| 143
| 47.67718
| 0.721332
| 0.025839
| 0
| 0.918239
| 0
| 0
| 0.400432
| 0.113039
| 0
| 0
| 0
| 0
| 0.075472
| 1
| 0.014675
| false
| 0.041929
| 0.016771
| 0
| 0.033543
| 0.002096
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
2859f1ad0baee4c1d1725b2cfe8befadd1722a90
| 10,881
|
py
|
Python
|
test/test_suppliers_api.py
|
fattureincloud/fattureincloud-python-sdk
|
f3a40fac345751014ea389680efdaef90f03bac1
|
[
"MIT"
] | 2
|
2022-02-17T08:33:17.000Z
|
2022-03-22T09:27:00.000Z
|
test/test_suppliers_api.py
|
fattureincloud/fattureincloud-python-sdk
|
f3a40fac345751014ea389680efdaef90f03bac1
|
[
"MIT"
] | null | null | null |
test/test_suppliers_api.py
|
fattureincloud/fattureincloud-python-sdk
|
f3a40fac345751014ea389680efdaef90f03bac1
|
[
"MIT"
] | null | null | null |
"""
Fatture in Cloud API v2 - API Reference
Connect your software with Fatture in Cloud, the invoicing platform chosen by more than 400.000 businesses in Italy. The Fatture in Cloud API is based on REST, and makes possible to interact with the user related data prior authorization via OAuth2 protocol. # noqa: E501
The version of the OpenAPI document: 2.0.9
Contact: info@fattureincloud.it
Generated by: https://openapi-generator.tech
"""
import unittest
import unittest.mock
import fattureincloud_python_sdk
import functions
from fattureincloud_python_sdk.rest import RESTResponse
from fattureincloud_python_sdk.api.suppliers_api import SuppliersApi
from fattureincloud_python_sdk.model.create_supplier_response import CreateSupplierResponse
from fattureincloud_python_sdk.model.supplier import Supplier
from fattureincloud_python_sdk.model.supplier_type import SupplierType
from fattureincloud_python_sdk.model.get_supplier_response import GetSupplierResponse
from fattureincloud_python_sdk.model.list_suppliers_response import ListSuppliersResponse
from fattureincloud_python_sdk.model.modify_supplier_response import ModifySupplierResponse # noqa: E501
class TestSuppliersApi(unittest.TestCase):
"""SuppliersApi unit test stubs"""
def setUp(self):
self.api = SuppliersApi()
def tearDown(self):
pass
def test_create_supplier(self):
resp = {
'status': 200,
'data': b'{"data": {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.POST = unittest.mock.MagicMock(return_value = mock_resp)
expected = CreateSupplierResponse(data = Supplier( id=2, code="123", name="Rossi S.r.l.", type=SupplierType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", created_at="created_at_example", updated_at="updated_at_example" ) )
actual = self.api.create_supplier(2)
actual.data.id = 2
assert actual == expected
def test_delete_supplier(self):
resp = {
'status': 200,
'data': b'{}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.DELETE = unittest.mock.MagicMock(return_value = mock_resp)
actual = self.api.delete_supplier(2, 12345)
assert actual == None
def test_get_supplier(self):
resp = {
'status': 200,
'data': b'{"data": {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.GET = unittest.mock.MagicMock(return_value = mock_resp)
expected = GetSupplierResponse(data = Supplier( id=2, code="123", name="Rossi S.r.l.", type=SupplierType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", created_at="created_at_example", updated_at="updated_at_example" ) )
actual = self.api.get_supplier(2, 12345)
actual.data.id = 2
assert actual == expected
def test_list_suppliers(self):
resp = {
'status': 200,
'data': b'{"data": [{"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}, {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}]}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.GET = unittest.mock.MagicMock(return_value = mock_resp)
expected = ListSuppliersResponse(data = [Supplier( id=2, code="123", name="Rossi S.r.l.", type=SupplierType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", created_at="created_at_example", updated_at="updated_at_example" ), Supplier( id=2, code="123", name="Rossi S.r.l.", type=SupplierType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", created_at="created_at_example", updated_at="updated_at_example" )] )
actual = self.api.list_suppliers(2)
actual.data[0].id = 2
actual.data[1].id = 2
assert actual == expected
def test_modify_supplier(self):
resp = {
'status': 200,
'data': b'{"data": {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.PUT = unittest.mock.MagicMock(return_value = mock_resp)
expected = ModifySupplierResponse(data = Supplier( id=2, code="123", name="Rossi S.r.l.", type=SupplierType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", created_at="created_at_example", updated_at="updated_at_example" ) )
actual = self.api.modify_supplier(2, 12345)
actual.data.id = 2
assert actual == expected
if __name__ == '__main__':
unittest.main()
| 89.188525
| 1,360
| 0.720338
| 1,386
| 10,881
| 5.376623
| 0.111833
| 0.024155
| 0.040258
| 0.054348
| 0.844471
| 0.827295
| 0.816559
| 0.80314
| 0.790258
| 0.783951
| 0
| 0.037358
| 0.129124
| 10,881
| 121
| 1,361
| 89.92562
| 0.74905
| 0.043838
| 0
| 0.477273
| 0
| 0.045455
| 0.470929
| 0.135088
| 0
| 0
| 0
| 0
| 0.056818
| 1
| 0.079545
| false
| 0.011364
| 0.136364
| 0
| 0.227273
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
288f6c3023c2373f1c09a7efcbcb82a9370a3972
| 8,916
|
py
|
Python
|
src/openpersonen/features/gebruik_in_lopende_tekst/gebruik_in_lopende_tekst.py
|
maykinmedia/open-personen
|
ddcf083ccd4eb864c5305bcd8bc75c6c64108272
|
[
"RSA-MD"
] | 2
|
2020-08-26T11:24:43.000Z
|
2021-07-28T09:46:40.000Z
|
src/openpersonen/features/gebruik_in_lopende_tekst/gebruik_in_lopende_tekst.py
|
maykinmedia/open-personen
|
ddcf083ccd4eb864c5305bcd8bc75c6c64108272
|
[
"RSA-MD"
] | 153
|
2020-08-26T10:45:35.000Z
|
2021-12-10T17:33:16.000Z
|
src/openpersonen/features/gebruik_in_lopende_tekst/gebruik_in_lopende_tekst.py
|
maykinmedia/open-personen
|
ddcf083ccd4eb864c5305bcd8bc75c6c64108272
|
[
"RSA-MD"
] | null | null | null |
from openpersonen.features.constants import *
def get_gebruik_in_lopende_tekst_with_title(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
title,
):
gebruik_in_lopende_tekst = title.lower()
if indication_name_use == EIGEN:
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix}"
gebruik_in_lopende_tekst += f" {last_name}"
elif indication_name_use == PARTNER_NA_EIGEN:
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}-"
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f"{partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER:
if partner_last_name_prefix:
gebruik_in_lopende_tekst = f" {partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER_VOOR_EIGEN:
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}-"
if last_name_prefix:
gebruik_in_lopende_tekst += f"{last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}"
return gebruik_in_lopende_tekst
def get_gebruik_in_lopende_tekst_with_predicate(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
title,
):
gebruik_in_lopende_tekst = ""
if indication_name_use == EIGEN:
gebruik_in_lopende_tekst = title.lower()
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}"
elif indication_name_use == PARTNER_NA_EIGEN:
gebruik_in_lopende_tekst = title.lower()
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}-"
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f"{partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER:
gebruik_in_lopende_tekst = MEVROUW
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER_VOOR_EIGEN:
gebruik_in_lopende_tekst = MEVROUW
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix} "
if partner_last_name:
gebruik_in_lopende_tekst += f"{partner_last_name}-"
gebruik_in_lopende_tekst += f"{title.lower()} "
if last_name_prefix:
gebruik_in_lopende_tekst += f"{last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}"
return gebruik_in_lopende_tekst
def get_gebruik_in_lopende_tekst_with_partner_title_or_predicate(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
partner_title,
):
if partner_title != JONKHEER and indication_name_use not in [
EIGEN,
PARTNER_NA_EIGEN,
]:
gebruik_in_lopende_tekst = MALE_TO_FEMALE_TITLES[partner_title].lower()
else:
gebruik_in_lopende_tekst = MEVROUW
if indication_name_use == EIGEN:
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}"
elif indication_name_use == PARTNER_NA_EIGEN:
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}-"
if partner_title != JONKHEER and partner_title in MALE_TO_FEMALE_TITLES:
gebruik_in_lopende_tekst += (
f"{MALE_TO_FEMALE_TITLES[partner_title].lower()} "
)
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f"{partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER:
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER_VOOR_EIGEN:
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix.capitalize()} "
gebruik_in_lopende_tekst += f"{partner_last_name}-"
if last_name_prefix:
gebruik_in_lopende_tekst += f"{last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}"
return gebruik_in_lopende_tekst
def get_default_gebruik_in_lopende_tekst(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
gender_designation,
):
gebruik_in_lopende_tekst = ""
if gender_designation == MALE:
gebruik_in_lopende_tekst = DE_HEER
elif gender_designation == FEMALE:
gebruik_in_lopende_tekst = MEVROUW
if indication_name_use == EIGEN:
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix.capitalize()}"
gebruik_in_lopende_tekst += f" {last_name}"
elif indication_name_use == PARTNER_NA_EIGEN:
if last_name_prefix:
gebruik_in_lopende_tekst += f" {last_name_prefix.capitalize()}"
gebruik_in_lopende_tekst += f" {last_name}-"
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f"{partner_last_name_prefix} "
gebruik_in_lopende_tekst += f"{partner_last_name}"
elif indication_name_use == PARTNER:
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix.capitalize()}"
gebruik_in_lopende_tekst += f" {partner_last_name}"
elif indication_name_use == PARTNER_VOOR_EIGEN:
if partner_last_name_prefix:
gebruik_in_lopende_tekst += f" {partner_last_name_prefix.capitalize()}"
gebruik_in_lopende_tekst += f" {partner_last_name}-"
if last_name_prefix:
gebruik_in_lopende_tekst += f"{last_name_prefix} "
gebruik_in_lopende_tekst += f"{last_name}"
return gebruik_in_lopende_tekst
def get_gebruik_in_lopende_tekst(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
gender_designation,
title,
partner_title,
):
last_name_prefix = last_name_prefix if isinstance(last_name_prefix, str) else None
last_name = last_name if isinstance(last_name, str) else None
partner_last_name_prefix = (
partner_last_name_prefix if isinstance(partner_last_name_prefix, str) else None
)
partner_last_name = (
partner_last_name if isinstance(partner_last_name, str) else None
)
indication_name_use = (
indication_name_use if isinstance(indication_name_use, str) else None
)
gender_designation = (
gender_designation if isinstance(gender_designation, str) else None
)
title = title if isinstance(title, str) else None
partner_title = partner_title if isinstance(partner_title, str) else None
is_not_exclude_title = title not in [GRAAF, GRAVIN, JONKHEER, JONKVROUW]
is_predicate = title in [JONKHEER, JONKVROUW]
use_partner_title = partner_title and gender_designation != MALE
if title and is_not_exclude_title:
gebruik_in_lopende_tekst = get_gebruik_in_lopende_tekst_with_title(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
title,
)
elif is_predicate:
gebruik_in_lopende_tekst = get_gebruik_in_lopende_tekst_with_predicate(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
title,
)
elif use_partner_title:
gebruik_in_lopende_tekst = (
get_gebruik_in_lopende_tekst_with_partner_title_or_predicate(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
partner_title,
)
)
else:
gebruik_in_lopende_tekst = get_default_gebruik_in_lopende_tekst(
last_name_prefix,
last_name,
partner_last_name_prefix,
partner_last_name,
indication_name_use,
gender_designation,
)
return gebruik_in_lopende_tekst
| 33.393258
| 87
| 0.686743
| 1,123
| 8,916
| 4.883348
| 0.046305
| 0.176513
| 0.230489
| 0.302516
| 0.882932
| 0.834245
| 0.815463
| 0.787381
| 0.773888
| 0.773888
| 0
| 0
| 0.246411
| 8,916
| 266
| 88
| 33.518797
| 0.816193
| 0
| 0
| 0.75576
| 0
| 0
| 0.119336
| 0.05148
| 0
| 0
| 0
| 0
| 0
| 1
| 0.023041
| false
| 0
| 0.004608
| 0
| 0.050691
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 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
| 9
|
2897d0b277fb3afa2a124849ce5dd05efa2c1ca8
| 215
|
py
|
Python
|
odoo-13.0/addons/crm/tests/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
odoo-13.0/addons/crm/tests/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
odoo-13.0/addons/crm/tests/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from . import test_crm_lead
from . import test_new_lead_notification
from . import test_lead2opportunity
from . import test_crm_activity
from . import test_crm_ui
from . import test_crm_pls
| 23.888889
| 40
| 0.790698
| 33
| 215
| 4.787879
| 0.424242
| 0.379747
| 0.531646
| 0.43038
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010811
| 0.139535
| 215
| 8
| 41
| 26.875
| 0.843243
| 0.097674
| 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
| 1
| 0
|
0
| 7
|
9557da0a486a7876ffbadff3d3d799ccb63684aa
| 1,563
|
py
|
Python
|
stationary.py
|
zhooda/inventory
|
e01293bc44dab51ef8a2a6c80eba95b6b9ca8cfd
|
[
"MIT"
] | null | null | null |
stationary.py
|
zhooda/inventory
|
e01293bc44dab51ef8a2a6c80eba95b6b9ca8cfd
|
[
"MIT"
] | null | null | null |
stationary.py
|
zhooda/inventory
|
e01293bc44dab51ef8a2a6c80eba95b6b9ca8cfd
|
[
"MIT"
] | null | null | null |
'''
stationary objects
'''
class stationaryClass:
def __init__(self, name, slotsNeeded):
self.name = name
self.slotsNeeded = slotsNeeded
self.goesInBackpack = False
self.goesInLocker = False
self.goesInPencilCase = True
def __str__(self):
return self.name
def __repr__(self):
return self.name
def canGoInLocker(self):
return self.goesInLocker
def canGoInBackpack(self):
return self.goesInBackpack
def canGoInPencilCase(self):
return self.goesInPencilCase
def getSlotsNeeded(self):
return self.slotsNeeded
class binderClass:
def __init__(self, subject):
self.name = f'{subject} binder'
self.slotsNeeded = 9
self.goesInBackpack = True
self.goesInLocker = True
self.goesInPencilCase = False
def __str__(self):
return self.name
def __repr__(self):
return self.name
def canGoInLocker(self):
return self.goesInLocker
def canGoInBackpack(self):
return self.goesInBackpack
def canGoInPencilCase(self):
return self.goesInPencilCase
def getSlotsNeeded(self):
return self.slotsNeeded
class notebookClass:
def __init__(self, subject):
self.name = f'{subject} notebook'
self.slotsNeeded = 6
self.goesInBackpack = True
self.goesInLocker = True
self.goesInPencilCase = False
def __str__(self):
return self.name
def __repr__(self):
return self.name
def canGoInLocker(self):
return self.goesInLocker
def canGoInBackpack(self):
return self.goesInBackpack
def canGoInPencilCase(self):
return self.goesInPencilCase
def getSlotsNeeded(self):
return self.slotsNeeded
| 18.607143
| 39
| 0.75112
| 178
| 1,563
| 6.393258
| 0.162921
| 0.158172
| 0.221441
| 0.094903
| 0.789982
| 0.789982
| 0.789982
| 0.789982
| 0.730228
| 0.730228
| 0
| 0.001531
| 0.164427
| 1,563
| 84
| 40
| 18.607143
| 0.869832
| 0.011516
| 0
| 0.77193
| 0
| 0
| 0.022107
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.368421
| false
| 0
| 0
| 0.315789
| 0.736842
| 0
| 0
| 0
| 0
| null | 0
| 1
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 9
|
957d7ebcebd319eb6755da1b247f8558c3d47cda
| 12,167
|
py
|
Python
|
apis/nb/clients/rbac_service_client/AaaserverApi.py
|
CiscoDevNet/APIC-EM-Generic-Scripts-
|
74211d9488f1e77cf56ef86dba20ec8e8eb49cc1
|
[
"ECL-2.0",
"Apache-2.0"
] | 45
|
2016-06-09T15:41:25.000Z
|
2019-08-06T17:13:11.000Z
|
apis/nb/clients/rbac_service_client/AaaserverApi.py
|
CiscoDevNet/APIC-EM-Generic-Scripts
|
74211d9488f1e77cf56ef86dba20ec8e8eb49cc1
|
[
"ECL-2.0",
"Apache-2.0"
] | 36
|
2016-06-12T03:03:56.000Z
|
2017-03-13T18:20:11.000Z
|
apis/nb/clients/rbac_service_client/AaaserverApi.py
|
CiscoDevNet/APIC-EM-Generic-Scripts
|
74211d9488f1e77cf56ef86dba20ec8e8eb49cc1
|
[
"ECL-2.0",
"Apache-2.0"
] | 15
|
2016-06-22T03:51:37.000Z
|
2019-07-10T10:06:02.000Z
|
#!/usr/bin/env python
#pylint: skip-file
# This source code is licensed under the Apache license found in the
# LICENSE file in the root directory of this project.
import sys
import os
import urllib.request, urllib.parse, urllib.error
from .models import *
class AaaserverApi(object):
def __init__(self, apiClient):
self.apiClient = apiClient
def getServers(self, **kwargs):
"""getAAAServers
Args:
Returns: AAAServerListResult
"""
allParams = []
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method getServers" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'GET'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'AAAServerListResult')
return responseObject
def updateServers(self, **kwargs):
"""updateAAAServers
Args:
aaaServerList, list[AAAServer]: aaaServerList (required)
Returns: SuccessResult
"""
allParams = ['aaaServerList']
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method updateServers" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'PUT'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
if ('aaaServerList' in params):
bodyParam = params['aaaServerList']
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'SuccessResult')
return responseObject
def addAAAServer(self, **kwargs):
"""addAAAServer
Args:
aaaServerList, list[AAAServer]: aaaServerList (required)
Returns: ServerIdListResult
"""
allParams = ['aaaServerList']
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method addAAAServer" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'POST'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
if ('aaaServerList' in params):
bodyParam = params['aaaServerList']
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'ServerIdListResult')
return responseObject
def getAAAAttribute(self, **kwargs):
"""getAAAAttribute
Args:
Returns: AAAAttributeResult
"""
allParams = []
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method getAAAAttribute" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server/authorization-attribute'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'GET'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'AAAAttributeResult')
return responseObject
def addAAAAttribute(self, **kwargs):
"""addAAAAttribute
Args:
aaaAttribute, AAAAttribute: aaaAttribute (required)
Returns: SuccessResult
"""
allParams = ['aaaAttribute']
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method addAAAAttribute" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server/authorization-attribute'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'POST'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
if ('aaaAttribute' in params):
bodyParam = params['aaaAttribute']
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'SuccessResult')
return responseObject
def deleteAAAAttribute(self, **kwargs):
"""deleteAAAAttribute
Args:
Returns: SuccessResult
"""
allParams = []
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method deleteAAAAttribute" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server/authorization-attribute'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'DELETE'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'SuccessResult')
return responseObject
def getServer(self, **kwargs):
"""getAAAServer
Args:
serverId, str: serverId (required)
Returns: AAAServerResult
"""
allParams = ['serverId']
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method getServer" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server/{serverId}'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'GET'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
if ('serverId' in params):
replacement = str(self.apiClient.toPathValue(params['serverId']))
replacement = urllib.parse.quote(replacement)
resourcePath = resourcePath.replace('{' + 'serverId' + '}',
replacement)
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'AAAServerResult')
return responseObject
def deleteServer(self, **kwargs):
"""deleteAAAServer
Args:
serverId, str: serverId (required)
Returns: SuccessResult
"""
allParams = ['serverId']
params = locals()
for (key, val) in list(params['kwargs'].items()):
if key not in allParams:
raise TypeError("Got an unexpected keyword argument '%s' to method deleteServer" % key)
params[key] = val
del params['kwargs']
resourcePath = '/aaa-server/{serverId}'
resourcePath = resourcePath.replace('{format}', 'json')
method = 'DELETE'
queryParams = {}
headerParams = {}
formParams = {}
files = {}
bodyParam = None
headerParams['Accept'] = 'application/json'
headerParams['Content-Type'] = 'application/json'
if ('serverId' in params):
replacement = str(self.apiClient.toPathValue(params['serverId']))
replacement = urllib.parse.quote(replacement)
resourcePath = resourcePath.replace('{' + 'serverId' + '}',
replacement)
postData = (formParams if formParams else bodyParam)
response = self.apiClient.callAPI(resourcePath, method, queryParams,
postData, headerParams, files=files)
if not response:
return None
responseObject = self.apiClient.deserialize(response, 'SuccessResult')
return responseObject
| 23.998028
| 109
| 0.523383
| 926
| 12,167
| 6.87257
| 0.12635
| 0.040855
| 0.048712
| 0.022627
| 0.824796
| 0.824796
| 0.812854
| 0.794626
| 0.794626
| 0.794626
| 0
| 0
| 0.382674
| 12,167
| 506
| 110
| 24.045455
| 0.847291
| 0.073313
| 0
| 0.860987
| 0
| 0
| 0.149708
| 0.013821
| 0
| 0
| 0
| 0
| 0
| 1
| 0.040359
| false
| 0
| 0.017937
| 0
| 0.134529
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
95b72eb57ba44b7cc288cc61b5b1cc006e7b2c41
| 290
|
py
|
Python
|
Chapter-3 Loop/Triangle_Pattern/Arrow.py
|
jaiswalIT02/pythonprograms
|
bc94e52121202b04c3e9112d9786f93ed6707f7a
|
[
"MIT"
] | null | null | null |
Chapter-3 Loop/Triangle_Pattern/Arrow.py
|
jaiswalIT02/pythonprograms
|
bc94e52121202b04c3e9112d9786f93ed6707f7a
|
[
"MIT"
] | null | null | null |
Chapter-3 Loop/Triangle_Pattern/Arrow.py
|
jaiswalIT02/pythonprograms
|
bc94e52121202b04c3e9112d9786f93ed6707f7a
|
[
"MIT"
] | null | null | null |
n=5
x=1
for i in range(1,n+1):
for j in range(1,i+1):
ch=chr(ord('A')+j-1)
print(x,end="")
x=x+1
print()
for i in range(n-1,0,-1):
for j in range(1,i+1):
ch=chr(ord('A')+j-1)
print(x,end="")
x=x+1
print()
| 14.5
| 28
| 0.403448
| 59
| 290
| 1.983051
| 0.271186
| 0.239316
| 0.205128
| 0.188034
| 0.735043
| 0.735043
| 0.735043
| 0.735043
| 0.735043
| 0.735043
| 0
| 0.083799
| 0.382759
| 290
| 19
| 29
| 15.263158
| 0.569832
| 0
| 0
| 0.714286
| 0
| 0
| 0.00692
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.285714
| 0
| 0
| 1
| null | 1
| 1
| 1
| 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
| 10
|
25341d34e06e0a7a3fc9b91b60bd52572b0a0dc0
| 3,809
|
py
|
Python
|
build/kinova-ros/kinova_msgs/cmake/kinova_msgs-genmsg-context.py
|
Jam-cpu/Masters-Project---Final
|
0b266b1f117a579b96507249f0a128d0e3cc082a
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
build/kinova-ros/kinova_msgs/cmake/kinova_msgs-genmsg-context.py
|
Jam-cpu/Masters-Project---Final
|
0b266b1f117a579b96507249f0a128d0e3cc082a
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
build/kinova-ros/kinova_msgs/cmake/kinova_msgs-genmsg-context.py
|
Jam-cpu/Masters-Project---Final
|
0b266b1f117a579b96507249f0a128d0e3cc082a
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
# generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/workspace/src/kinova-ros/kinova_msgs/msg/FingerPosition.msg;/workspace/src/kinova-ros/kinova_msgs/msg/JointAngles.msg;/workspace/src/kinova-ros/kinova_msgs/msg/JointVelocity.msg;/workspace/src/kinova-ros/kinova_msgs/msg/JointTorque.msg;/workspace/src/kinova-ros/kinova_msgs/msg/KinovaPose.msg;/workspace/src/kinova-ros/kinova_msgs/msg/PoseVelocity.msg;/workspace/src/kinova-ros/kinova_msgs/msg/PoseVelocityWithFingers.msg;/workspace/src/kinova-ros/kinova_msgs/msg/CartesianForce.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesAction.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesActionGoal.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesActionResult.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesActionFeedback.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesGoal.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesResult.msg;/workspace/devel/share/kinova_msgs/msg/ArmJointAnglesFeedback.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseAction.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseActionGoal.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseActionResult.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseActionFeedback.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseGoal.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseResult.msg;/workspace/devel/share/kinova_msgs/msg/ArmPoseFeedback.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseAction.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseActionGoal.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseActionResult.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseActionFeedback.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseGoal.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseResult.msg;/workspace/devel/share/kinova_msgs/msg/Arm_KinovaPoseFeedback.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionAction.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionActionGoal.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionActionResult.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionActionFeedback.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionGoal.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionResult.msg;/workspace/devel/share/kinova_msgs/msg/SetFingersPositionFeedback.msg"
services_str = "/workspace/src/kinova-ros/kinova_msgs/srv/Start.srv;/workspace/src/kinova-ros/kinova_msgs/srv/Stop.srv;/workspace/src/kinova-ros/kinova_msgs/srv/HomeArm.srv;/workspace/src/kinova-ros/kinova_msgs/srv/SetForceControlParams.srv;/workspace/src/kinova-ros/kinova_msgs/srv/SetEndEffectorOffset.srv;/workspace/src/kinova-ros/kinova_msgs/srv/SetNullSpaceModeState.srv;/workspace/src/kinova-ros/kinova_msgs/srv/SetTorqueControlMode.srv;/workspace/src/kinova-ros/kinova_msgs/srv/SetTorqueControlParameters.srv;/workspace/src/kinova-ros/kinova_msgs/srv/ClearTrajectories.srv;/workspace/src/kinova-ros/kinova_msgs/srv/ZeroTorques.srv;/workspace/src/kinova-ros/kinova_msgs/srv/AddPoseToCartesianTrajectory.srv;/workspace/src/kinova-ros/kinova_msgs/srv/RunCOMParametersEstimation.srv"
pkg_name = "kinova_msgs"
dependencies_str = "actionlib_msgs;geometry_msgs"
langs = "gencpp;geneus;genlisp;gennodejs;genpy"
dep_include_paths_str = "kinova_msgs;/workspace/src/kinova-ros/kinova_msgs/msg;kinova_msgs;/workspace/devel/share/kinova_msgs/msg;actionlib_msgs;/opt/ros/melodic/share/actionlib_msgs/cmake/../msg;geometry_msgs;/opt/ros/melodic/share/geometry_msgs/cmake/../msg;std_msgs;/opt/ros/melodic/share/std_msgs/cmake/../msg"
PYTHON_EXECUTABLE = "/usr/bin/python2"
package_has_static_sources = '' == 'TRUE'
genmsg_check_deps_script = "/opt/ros/melodic/share/genmsg/cmake/../../../lib/genmsg/genmsg_check_deps.py"
| 317.416667
| 2,343
| 0.855605
| 516
| 3,809
| 6.153101
| 0.19186
| 0.166929
| 0.155591
| 0.228346
| 0.589921
| 0.569134
| 0.559055
| 0.293543
| 0
| 0
| 0
| 0.000265
| 0.008926
| 3,809
| 11
| 2,344
| 346.272727
| 0.840795
| 0.012864
| 0
| 0
| 1
| 0.333333
| 0.945982
| 0.937733
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2534db319d7b2f7d01234121383b8501ca82e80f
| 2,988
|
py
|
Python
|
tests/test_python_xml.py
|
mxdzi/hackerrank
|
4455f73e4479a4204b2e1167253f6a02351aa5b7
|
[
"MIT"
] | null | null | null |
tests/test_python_xml.py
|
mxdzi/hackerrank
|
4455f73e4479a4204b2e1167253f6a02351aa5b7
|
[
"MIT"
] | null | null | null |
tests/test_python_xml.py
|
mxdzi/hackerrank
|
4455f73e4479a4204b2e1167253f6a02351aa5b7
|
[
"MIT"
] | null | null | null |
from python.xml import *
def test_q1_xml_1_find_the_score(capsys, monkeypatch):
inputs = ["6",
("<feed xml:lang='en'>"
" <title>HackerRank</title>"
" <subtitle lang='en'>Programming challenges</subtitle>"
" <link rel='alternate' type='text/html' href='http://hackerrank.com/'/>"
" <updated>2013-12-25T12:00:00</updated>"
"</feed>")]
monkeypatch.setattr('sys.stdin.readline', lambda: inputs.pop(0))
monkeypatch.setattr('sys.stdin.read', lambda: inputs.pop(0))
q1_xml_1_find_the_score.main()
captured = capsys.readouterr()
output = "5\n"
assert captured.out == output
inputs = ["11",
("<feed xml:lang='en'>"
" <title>HackerRank</title>"
" <subtitle lang='en'>Programming challenges</subtitle>"
" <link rel='alternate' type='text/html' href='http://hackerrank.com/'/>"
" <updated>2013-12-25T12:00:00</updated>"
" <entry>"
" <author gender='male'>Harsh</author>"
" <question type='hard'>XML 1</question>"
" <description type='text'>This is related to XML parsing</description>"
" </entry>"
"</feed>")]
monkeypatch.setattr('sys.stdin.readline', lambda: inputs.pop(0))
monkeypatch.setattr('sys.stdin.read', lambda: inputs.pop(0))
q1_xml_1_find_the_score.main()
captured = capsys.readouterr()
output = "8\n"
assert captured.out == output
def test_q2_xml2_find_the_maximum_depth(capsys, monkeypatch):
inputs = ["6",
"<feed xml:lang='en'>",
" <title>HackerRank</title>",
" <subtitle lang='en'>Programming challenges</subtitle>",
" <link rel='alternate' type='text/html' href='http://hackerrank.com/'/>",
" <updated>2013-12-25T12:00:00</updated>",
"</feed>"]
monkeypatch.setattr('builtins.input', lambda: inputs.pop(0))
q2_xml2_find_the_maximum_depth.main()
captured = capsys.readouterr()
output = "1\n"
assert captured.out == output
inputs = ["11",
"<feed xml:lang='en'>",
" <title>HackerRank</title>",
" <subtitle lang='en'>Programming challenges</subtitle>",
" <link rel='alternate' type='text/html' href='http://hackerrank.com/'/>",
" <updated>2013-12-25T12:00:00</updated>",
" <entry>",
" <author gender='male'>Harsh</author>",
" <question type='hard'>XML 1</question>",
" <description type='text'>This is related to XML parsing</description>",
" </entry>",
"</feed>"]
monkeypatch.setattr('builtins.input', lambda: inputs.pop(0))
q2_xml2_find_the_maximum_depth.main()
captured = capsys.readouterr()
output = "2\n"
assert captured.out == output
| 40.378378
| 91
| 0.552878
| 322
| 2,988
| 5.031056
| 0.232919
| 0.02963
| 0.055556
| 0.059259
| 0.97716
| 0.947531
| 0.920988
| 0.920988
| 0.920988
| 0.920988
| 0
| 0.039944
| 0.279451
| 2,988
| 73
| 92
| 40.931507
| 0.712494
| 0
| 0
| 0.730159
| 0
| 0
| 0.451138
| 0.17336
| 0
| 0
| 0
| 0
| 0.063492
| 1
| 0.031746
| false
| 0
| 0.015873
| 0
| 0.047619
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
c26b6799e9952e550ad0238f53f512914cd71a70
| 42
|
py
|
Python
|
global/lib/module.py
|
hidaruma/caty
|
f71d2ab0a001ea4f7a96a6e02211187ebbf54773
|
[
"MIT"
] | null | null | null |
global/lib/module.py
|
hidaruma/caty
|
f71d2ab0a001ea4f7a96a6e02211187ebbf54773
|
[
"MIT"
] | null | null | null |
global/lib/module.py
|
hidaruma/caty
|
f71d2ab0a001ea4f7a96a6e02211187ebbf54773
|
[
"MIT"
] | null | null | null |
def foo():
return u'foo from global?'
| 14
| 30
| 0.619048
| 7
| 42
| 3.714286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.238095
| 42
| 2
| 31
| 21
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0.380952
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
c29547ed168fcf628e9b891e1caaf8cba7429132
| 30,336
|
py
|
Python
|
pawnshop_management/pawnshop_management/doctype/provisional_receipt/provisional_receipt.py
|
gpRabie/pawnshop_management
|
0f23246d25a448aaa28108888c0d4e31b668680b
|
[
"MIT"
] | null | null | null |
pawnshop_management/pawnshop_management/doctype/provisional_receipt/provisional_receipt.py
|
gpRabie/pawnshop_management
|
0f23246d25a448aaa28108888c0d4e31b668680b
|
[
"MIT"
] | null | null | null |
pawnshop_management/pawnshop_management/doctype/provisional_receipt/provisional_receipt.py
|
gpRabie/pawnshop_management
|
0f23246d25a448aaa28108888c0d4e31b668680b
|
[
"MIT"
] | 1
|
2022-03-18T06:50:55.000Z
|
2022-03-18T06:50:55.000Z
|
# Copyright (c) 2022, Rabie Moses Santillan and contributors
# For license information, please see license.txt
from datetime import datetime
from pydoc import Doc, doc
from frappe.utils import add_to_date, today
import frappe
from frappe.model.document import Document
from frappe.utils import flt
class ProvisionalReceipt(Document):
def before_submit(self):
if self.transaction_type == "Redemption":
frappe.db.set_value(self.pawn_ticket_type, self.pawn_ticket_no, 'workflow_state', 'Redeemed')
frappe.db.commit()
doc = frappe.get_doc(self.pawn_ticket_type, self.pawn_ticket_no)
if self.pawn_ticket_type == 'Pawn Ticket Non Jewelry':
for items in doc.get('non_jewelry_items'):
frappe.db.set_value('Non Jewelry Items', items.item_no, 'workflow_state', 'Redeemed')
frappe.db.commit()
elif self.transaction_type == "Amortization":
self.amortization += self.additional_amortization
if self.transaction_type == "Renewal":
frappe.db.set_value(self.pawn_ticket_type, self.pawn_ticket_no, 'workflow_state', 'Renewed')
frappe.db.commit()
if self.pawn_ticket_no != "":
frappe.db.set_value('Pawn Ticket Non Jewelry', self.pawn_ticket_no, 'change_status_date', today())
frappe.db.commit()
elif self.transaction_type == "Redemption":
frappe.db.set_value(self.pawn_ticket_type, self.pawn_ticket_no, 'workflow_state', 'Redeemed')
frappe.db.commit()
if self.pawn_ticket_no != "":
frappe.db.set_value('Pawn Ticket Non Jewelry', self.pawn_ticket_no, 'change_status_date', today())
frappe.db.commit()
elif self.transaction_type == "Renewal w/ Amortization":
frappe.db.set_value(self.pawn_ticket_type, self.pawn_ticket_no, 'workflow_state', 'Renewed')
frappe.db.commit()
if self.pawn_ticket_no != "":
frappe.db.set_value('Pawn Ticket Non Jewelry', self.pawn_ticket_no, 'change_status_date', today())
frappe.db.commit()
def on_submit(self):
if self.transaction_type == "Renewal": # Create New Pawn Ticket
previous_pawn_ticket = frappe.get_doc(self.pawn_ticket_type, self.pawn_ticket_no)
new_pawn_ticket = frappe.new_doc(self.pawn_ticket_type)
new_pawn_ticket.pawn_ticket = self.new_pawn_ticket_no
new_pawn_ticket.branch = self.branch
new_pawn_ticket.series = previous_pawn_ticket.item_series
new_pawn_ticket.date_loan_granted = self.date_issued
new_pawn_ticket.maturity_date = add_to_date(self.date_issued, days=30)
new_pawn_ticket.expiry_date = add_to_date(self.date_issued, days=120)
new_pawn_ticket.customers_tracking_no = previous_pawn_ticket.customers_tracking_no
new_pawn_ticket.customers_full_name = previous_pawn_ticket.customers_full_name
new_pawn_ticket.inventory_tracking_no = previous_pawn_ticket.inventory_tracking_no
if self.pawn_ticket_type == "Pawn Ticket Non Jewelry":
previous_items = previous_pawn_ticket.non_jewelry_items
for i in range(len(previous_items)):
new_pawn_ticket.append("non_jewelry_items", {
"item_no": previous_items[i].item_no,
"type": previous_items[i].type,
"brand": previous_items[i].brand,
"model": previous_items[i].model,
"model_number": previous_items[i].model_number,
"suggested_appraisal_value": previous_items[i].suggested_appraisal_value
})
elif self.pawn_ticket_type == "Pawn Ticket Jewelry":
previous_items = previous_pawn_ticket.jewelry_items
for i in range(len(previous_items)):
new_pawn_ticket.append("jewelry_items", {
"item_no": previous_items[i].item_no,
"type": previous_items[i].type,
"brand": previous_items[i].brand,
"model": previous_items[i].model,
"model_number": previous_items[i].model_number,
"suggested_appraisal_value": previous_items[i].suggested_appraisal_value
})
new_pawn_ticket.desired_principal = previous_pawn_ticket.desired_principal
new_pawn_ticket.interest = previous_pawn_ticket.interest
new_pawn_ticket.net_proceeds = previous_pawn_ticket.net_proceeds
new_pawn_ticket.save(ignore_permissions=True)
new_pawn_ticket.submit()
elif self.transaction_type == "Amortization":
interest_rate = frappe.get_doc('Pawnshop Management Settings')
if self.pawn_ticket_type == "Pawn Ticket Non Jewelry":
desired_principal = self.principal_amount - self.additional_amortization
interest = desired_principal * (interest_rate.gadget_interest_rate/100)
net_proceeds = desired_principal - interest
frappe.db.set_value(self.pawn_ticket_type, self.pawn_ticket_no, {
'desired_principal': desired_principal,
'interest': interest,
'net_proceeds': net_proceeds
})
frappe.db.commit()
elif self.pawn_ticket_type == "Pawn Ticket Jewelry":
desired_principal = self.principal_amount - self.additional_amortization
interest = desired_principal * (interest_rate.jewelry_interest_rate/100)
net_proceeds = desired_principal - interest
frappe.db.set_value(self.pawn_ticket_type, self.pawn_ticket_no, {
'desired_principal': desired_principal,
'interest': interest,
'net_proceeds': net_proceeds
})
frappe.db.commit()
elif self.transaction_type == "Renewal w/ Amortization":
previous_pawn_ticket = frappe.get_doc(self.pawn_ticket_type, self.pawn_ticket_no)
new_pawn_ticket = frappe.new_doc(self.pawn_ticket_type)
new_pawn_ticket.pawn_ticket = self.new_pawn_ticket_no
new_pawn_ticket.branch = self.branch
new_pawn_ticket.series = previous_pawn_ticket.item_series
new_pawn_ticket.date_loan_granted = self.date_issued
new_pawn_ticket.maturity_date = add_to_date(self.date_issued, days=30)
new_pawn_ticket.expiry_date = add_to_date(self.date_issued, days=120)
new_pawn_ticket.customers_tracking_no = previous_pawn_ticket.customers_tracking_no
new_pawn_ticket.customers_full_name = previous_pawn_ticket.customers_full_name
new_pawn_ticket.inventory_tracking_no = previous_pawn_ticket.inventory_tracking_no
if self.pawn_ticket_type == "Pawn Ticket Non Jewelry":
previous_items = previous_pawn_ticket.non_jewelry_items
for i in range(len(previous_items)):
new_pawn_ticket.append("non_jewelry_items", {
"item_no": previous_items[i].item_no,
"type": previous_items[i].type,
"brand": previous_items[i].brand,
"model": previous_items[i].model,
"model_number": previous_items[i].model_number,
"suggested_appraisal_value": previous_items[i].suggested_appraisal_value
})
elif self.pawn_ticket_type == "Pawn Ticket Jewelry":
previous_items = previous_pawn_ticket.jewelry_items
for i in range(len(previous_items)):
new_pawn_ticket.append("jewelry_items", {
"item_no": previous_items[i].item_no,
"type": previous_items[i].type,
"brand": previous_items[i].brand,
"model": previous_items[i].model,
"model_number": previous_items[i].model_number,
"suggested_appraisal_value": previous_items[i].suggested_appraisal_value
})
new_pawn_ticket.desired_principal = self.principal_amount - self.additional_amortization
new_pawn_ticket.interest = self.advance_interest
new_pawn_ticket.net_proceeds = self.principal_amount - self.additional_amortization - self.advance_interest
new_pawn_ticket.save(ignore_permissions=True)
new_pawn_ticket.submit()
# For Journal Entry Creation
# For Cash Accounts
if self.transaction_type == "Renewal" and self.mode_of_payment == "Cash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Renewal"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash on Hand - Pawnshop - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
if flt(self.discount) > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Discount - NJ - TGP"
row_values4.debit_in_account_currency = flt(self.discount)
row_values4.credit_in_account_currency = flt(0)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Interest on Loans and Advances - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.advance_interest)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Redemption" and self.mode_of_payment == "Cash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Redemption"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash on Hand - Pawnshop - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if flt(self.interest_payment) > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
if flt(self.discount) > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Discount - NJ - TGP"
row_values4.debit_in_account_currency = flt(self.discount)
row_values4.credit_in_account_currency = flt(0)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Pawned Items Inventory - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.principal_amount)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Amortization" and self.mode_of_payment == "Cash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Amortization"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash on Hand - Pawnshop - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Pawned Items Inventory - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.total)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Renewal w/ Amortization" and self.mode_of_payment == "Cash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Renewal w/ Amortization"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash on Hand - Pawnshop - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Interest on Loans and Advances - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.advance_interest)
row_values4 = doc1.append('accounts', {})
row_values4.account = "Pawned Items Inventory - NJ - TGP"
row_values4.debit_in_account_currency = flt(0)
row_values4.credit_in_account_currency = flt(self.additional_amortization)
if flt(self.discount) > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Discount - NJ - TGP"
row_values4.debit_in_account_currency = flt(self.discount)
row_values4.credit_in_account_currency = flt(0)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Interest Payment" and self.mode_of_payment == "Cash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Interest Payment"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash on Hand - Pawnshop - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.total)
doc1.save(ignore_permissions=True)
doc1.submit()
# For GCash Accounts
elif self.transaction_type == "Renewal" and self.mode_of_payment == "GCash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Renewal"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = (flt(self.total) - (flt(self.total) * 0.02)) + (((flt(self.total) * 0.02) / 1.12) * 0.02)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Merchant Fee - COS - Gcash - TGP"
row_values2.debit_in_account_currency = (flt(self.total) * 0.02)
row_values2.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values3 = doc1.append('accounts', {})
row_values3.account = "Interest on Past Due Loans - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.interest_payment)
if flt(self.discount) > 0:
row_values6 = doc1.append('accounts', {})
row_values6.account = "Discount - NJ - TGP"
row_values6.debit_in_account_currency = flt(self.discount)
row_values6.credit_in_account_currency = flt(0)
row_values4 = doc1.append('accounts', {})
row_values4.account = "Interest on Loans and Advances - NJ - TGP"
row_values4.debit_in_account_currency = flt(0)
row_values4.credit_in_account_currency = flt(self.advance_interest)
row_values5 = doc1.append('accounts', {})
row_values5.account = "Withholding Tax Payable - Expanded - TGP"
row_values5.debit_in_account_currency = flt(0)
row_values5.credit_in_account_currency = ((flt(self.total) * 0.02) / 1.12) * 0.02
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Redemption" and self.mode_of_payment == "GCash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Redemption"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = (flt(self.total) - (flt(self.total) * 0.02)) + (((flt(self.total) * 0.02) / 1.12) * 0.02)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Merchant Fee - COS - Gcash - TGP"
row_values2.debit_in_account_currency = (flt(self.total) * 0.02)
row_values2.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Interest on Past Due Loans - NJ - TGP"
row_values4.debit_in_account_currency = flt(0)
row_values4.credit_in_account_currency = flt(self.interest_payment)
if flt(self.discount) > 0:
row_values7 = doc1.append('accounts', {})
row_values7.account = "Discount - NJ - TGP"
row_values7.debit_in_account_currency = flt(self.discount)
row_values7.credit_in_account_currency = flt(0)
row_values5 = doc1.append('accounts', {})
row_values5.account = "Pawned Items Inventory - NJ - TGP"
row_values5.debit_in_account_currency = flt(0)
row_values5.credit_in_account_currency = flt(self.principal_amount)
row_values6 = doc1.append('accounts', {})
row_values6.account = "Withholding Tax Payable - Expanded - TGP"
row_values6.debit_in_account_currency = flt(0)
row_values6.credit_in_account_currency = ((flt(self.total) * 0.02) / 1.12) * 0.02
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Amortization" and self.mode_of_payment == "GCash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Amortization"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = (flt(self.total) - (flt(self.total) * 0.02)) + (((flt(self.total) * 0.02) / 1.12) * 0.02)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Merchant Fee - COS - Gcash - TGP"
row_values2.debit_in_account_currency = (flt(self.total) * 0.02)
row_values2.credit_in_account_currency = flt(0)
row_values5 = doc1.append('accounts', {})
row_values5.account = "Pawned Items Inventory - NJ - TGP"
row_values5.debit_in_account_currency = flt(0)
row_values5.credit_in_account_currency = flt(self.total)
row_values6 = doc1.append('accounts', {})
row_values6.account = "Withholding Tax Payable - Expanded - TGP"
row_values6.debit_in_account_currency = flt(0)
row_values6.credit_in_account_currency = ((flt(self.total) * 0.02) / 1.12) * 0.02
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Renewal w/ Amortization" and self.mode_of_payment == "GCash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Renewal w/ Amortization"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = (flt(self.total) - (flt(self.total) * 0.02)) + (((flt(self.total) * 0.02) / 1.12) * 0.02)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Merchant Fee - COS - Gcash - TGP"
row_values2.debit_in_account_currency = (flt(self.total) * 0.02)
row_values2.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Interest on Past Due Loans - NJ - TGP"
row_values4.debit_in_account_currency = flt(0)
row_values4.credit_in_account_currency = flt(self.interest_payment)
row_values5 = doc1.append('accounts', {})
row_values5.account = "Pawned Items Inventory - NJ - TGP"
row_values5.debit_in_account_currency = flt(0)
row_values5.credit_in_account_currency = flt(self.additional_amortization)
row_values6 = doc1.append('accounts', {})
row_values6.account = "Interest on Loans and Advances - NJ - TGP"
row_values6.debit_in_account_currency = flt(0)
row_values6.credit_in_account_currency = flt(self.advance_interest)
row_values7 = doc1.append('accounts', {})
row_values7.account = "Withholding Tax Payable - Expanded - TGP"
row_values7.debit_in_account_currency = flt(0)
row_values7.credit_in_account_currency = ((flt(self.total) * 0.02) / 1.12) * 0.02
if flt(self.discount) > 0:
row_values8 = doc1.append('accounts', {})
row_values8.account = "Discount - NJ - TGP"
row_values8.debit_in_account_currency = flt(self.discount)
row_values8.credit_in_account_currency = flt(0)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Interest Payment" and self.mode_of_payment == "GCash":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Interest Payment"
row_values1 = doc1.append('accounts', {})
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = (flt(self.total) - (flt(self.total) * 0.02)) + (((flt(self.total) * 0.02) / 1.12) * 0.02)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Merchant Fee - COS - Gcash - TGP"
row_values2.debit_in_account_currency = (flt(self.total) * 0.02)
row_values2.credit_in_account_currency = flt(0)
row_values4 = doc1.append('accounts', {})
row_values4.account = "Interest on Past Due Loans - NJ - TGP"
row_values4.debit_in_account_currency = flt(0)
row_values4.credit_in_account_currency = flt(self.total)
row_values5 = doc1.append('accounts', {})
row_values5.account = "Withholding Tax Payable - Expanded - TGP"
row_values5.debit_in_account_currency = flt(0)
row_values5.credit_in_account_currency = ((flt(self.total) * 0.02) / 1.12) * 0.02
doc1.save(ignore_permissions=True)
doc1.submit()
# For Bank Transfer Transaction
elif self.transaction_type == "Renewal" and self.mode_of_payment == "Bank Transfer":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Renewal"
row_values1 = doc1.append('accounts', {})
if self.bank == "BDO":
row_values1.account = "Cash in Bank - BDO - TGP"
elif self.bank == "BPI":
row_values1.account = "Cash in Bank - BPI - TGP"
elif self.bank == "East West Cavite Branch":
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Interest on Loans and Advances - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.advance_interest)
if flt(self.discount) > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Discount - NJ - TGP"
row_values4.debit_in_account_currency = flt(self.discount)
row_values4.credit_in_account_currency = flt(0)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Redemption" and self.mode_of_payment == "Bank Transfer":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Redemption"
row_values1 = doc1.append('accounts', {})
if self.bank == "BDO":
row_values1.account = "Cash in Bank - BDO - TGP"
elif self.bank == "BPI":
row_values1.account = "Cash in Bank - BPI - TGP"
elif self.bank == "East West Cavite Branch":
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if flt(self.interest_payment) > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Pawned Items Inventory - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.principal_amount)
if flt(self.discount) > 0:
row_values4 = doc1.append('accounts', {})
row_values4.account = "Discount - NJ - TGP"
row_values4.debit_in_account_currency = flt(self.discount)
row_values4.credit_in_account_currency = flt(0)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Amortization" and self.mode_of_payment == "Bank Transfer":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Amortization"
row_values1 = doc1.append('accounts', {})
if self.bank == "BDO":
row_values1.account = "Cash in Bank - BDO - TGP"
elif self.bank == "BPI":
row_values1.account = "Cash in Bank - BPI - TGP"
elif self.bank == "East West Cavite Branch":
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Pawned Items Inventory - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.total)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Renewal w/ Amortization" and self.mode_of_payment == "Bank Transfer":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Renewal w/ Amortization"
row_values1 = doc1.append('accounts', {})
if self.bank == "BDO":
row_values1.account = "Cash in Bank - BDO - TGP"
elif self.bank == "BPI":
row_values1.account = "Cash in Bank - BPI - TGP"
elif self.bank == "East West Cavite Branch":
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
if self.interest_payment > 0:
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.interest_payment)
row_values3 = doc1.append('accounts', {})
row_values3.account = "Interest on Loans and Advances - NJ - TGP"
row_values3.debit_in_account_currency = flt(0)
row_values3.credit_in_account_currency = flt(self.advance_interest)
row_values4 = doc1.append('accounts', {})
row_values4.account = "Pawned Items Inventory - NJ - TGP"
row_values4.debit_in_account_currency = flt(0)
row_values4.credit_in_account_currency = flt(self.additional_amortization)
if flt(self.discount) > 0:
row_values5 = doc1.append('accounts', {})
row_values5.account = "Discount - NJ - TGP"
row_values5.debit_in_account_currency = flt(self.discount)
row_values5.credit_in_account_currency = flt(0)
doc1.save(ignore_permissions=True)
doc1.submit()
elif self.transaction_type == "Interest Payment" and self.mode_of_payment == "Bank Transfer":
doc1 = frappe.new_doc('Journal Entry')
doc1.voucher_type = 'Journal Entry'
doc1.company = 'TEST Garcia\'s Pawnshop'
doc1.posting_date = self.date_issued
doc1.reference_doctype = "Provisional Receipt"
doc1.reference_document = self.name
doc1.document_status = "Interest Payment"
row_values1 = doc1.append('accounts', {})
if self.bank == "BDO":
row_values1.account = "Cash in Bank - BDO - TGP"
elif self.bank == "BPI":
row_values1.account = "Cash in Bank - BPI - TGP"
elif self.bank == "East West Cavite Branch":
row_values1.account = "Cash in Bank - EW Cavite - NJ - TGP"
row_values1.debit_in_account_currency = flt(self.total)
row_values1.credit_in_account_currency = flt(0)
row_values2 = doc1.append('accounts', {})
row_values2.account = "Interest on Past Due Loans - NJ - TGP"
row_values2.debit_in_account_currency = flt(0)
row_values2.credit_in_account_currency = flt(self.total)
doc1.save(ignore_permissions=True)
doc1.submit()
| 43.965217
| 132
| 0.731672
| 4,198
| 30,336
| 4.99595
| 0.040019
| 0.05407
| 0.102131
| 0.120154
| 0.965098
| 0.960425
| 0.949077
| 0.943308
| 0.922233
| 0.909026
| 0
| 0.026663
| 0.155591
| 30,336
| 690
| 133
| 43.965217
| 0.792083
| 0.007351
| 0
| 0.886986
| 0
| 0.006849
| 0.17558
| 0.003322
| 0
| 0
| 0
| 0
| 0
| 1
| 0.003425
| false
| 0
| 0.010274
| 0
| 0.015411
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
667ded25e6a871a05252c1291b97160b2d5a0e72
| 22,979
|
py
|
Python
|
docs/jnpr_healthbot_swagger/test/test_default_api.py
|
minefuto/healthbot-py-client
|
bb81452c974456af44299aebf32a73abeda8a943
|
[
"Apache-2.0"
] | 10
|
2019-10-23T12:54:37.000Z
|
2022-02-07T19:24:30.000Z
|
docs/jnpr_healthbot_swagger/test/test_default_api.py
|
minefuto/healthbot-py-client
|
bb81452c974456af44299aebf32a73abeda8a943
|
[
"Apache-2.0"
] | 5
|
2019-09-30T04:29:25.000Z
|
2022-02-16T12:21:06.000Z
|
docs/jnpr_healthbot_swagger/test/test_default_api.py
|
minefuto/healthbot-py-client
|
bb81452c974456af44299aebf32a73abeda8a943
|
[
"Apache-2.0"
] | 4
|
2019-09-30T01:17:48.000Z
|
2020-08-25T07:27:54.000Z
|
# coding: utf-8
"""
Healthbot APIs
API interface for Healthbot application # noqa: E501
OpenAPI spec version: 1.0.0
Contact: healthbot-hackers@juniper.net
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.api.default_api import DefaultApi # noqa: E501
from swagger_client.rest import ApiException
class TestDefaultApi(unittest.TestCase):
"""DefaultApi unit test stubs"""
def setUp(self):
self.api = swagger_client.api.default_api.DefaultApi() # noqa: E501
def tearDown(self):
pass
def test_backup_helper_files(self):
"""Test case for backup_helper_files
Download the tar file containing all helper files. # noqa: E501
"""
pass
def test_create_files_certificates_by_file_name(self):
"""Test case for create_files_certificates_by_file_name
Upload a certificate file. # noqa: E501
"""
pass
def test_create_files_helper_files_by_file_name(self):
"""Test case for create_files_helper_files_by_file_name
Upload a helper-file. # noqa: E501
"""
pass
def test_create_healthbot_ingest_settings_byoi_custom_plugin_by_id(self):
"""Test case for create_healthbot_ingest_settings_byoi_custom_plugin_by_id
Create custom-plugin by ID # noqa: E501
"""
pass
def test_create_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id(self):
"""Test case for create_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id
Create tlive-kafka-oc by ID # noqa: E501
"""
pass
def test_create_healthbot_ingest_settings_byoi_ingest_mapping_by_id(self):
"""Test case for create_healthbot_ingest_settings_byoi_ingest_mapping_by_id
Create ingest-mapping by ID # noqa: E501
"""
pass
def test_create_healthbot_ingest_settings_frequency_profile_by_id(self):
"""Test case for create_healthbot_ingest_settings_frequency_profile_by_id
Create frequency-profile by ID # noqa: E501
"""
pass
def test_create_healthbot_system_time_series_database_time_series_database_by_id(self):
"""Test case for create_healthbot_system_time_series_database_time_series_database_by_id
Create time-series-database by ID # noqa: E501
"""
pass
def test_create_iceberg_ingest_settings(self):
"""Test case for create_iceberg_ingest_settings
Create ingest-settings by ID # noqa: E501
"""
pass
def test_create_iceberg_ingest_settings_flow(self):
"""Test case for create_iceberg_ingest_settings_flow
Create flow by ID # noqa: E501
"""
pass
def test_create_iceberg_ingest_settings_flow_template_by_id(self):
"""Test case for create_iceberg_ingest_settings_flow_template_by_id
Create template by ID # noqa: E501
"""
pass
def test_create_iceberg_ingest_settings_syslog(self):
"""Test case for create_iceberg_ingest_settings_syslog
Create syslog by ID # noqa: E501
"""
pass
def test_create_iceberg_ingest_settings_syslog_pattern_by_id(self):
"""Test case for create_iceberg_ingest_settings_syslog_pattern_by_id
Create pattern by ID # noqa: E501
"""
pass
def test_create_iceberg_ingest_settings_syslog_pattern_set_by_id(self):
"""Test case for create_iceberg_ingest_settings_syslog_pattern_set_by_id
Create pattern-set by ID # noqa: E501
"""
pass
def test_create_iceberg_profile_data_summarization_raw_by_id(self):
"""Test case for create_iceberg_profile_data_summarization_raw_by_id
Create raw-data-summarization by ID # noqa: E501
"""
pass
def test_create_iceberg_profile_security_ca_profile_by_id(self):
"""Test case for create_iceberg_profile_security_ca_profile_by_id
Create ca-profile by ID # noqa: E501
"""
pass
def test_create_iceberg_profile_security_local_certificate_by_id(self):
"""Test case for create_iceberg_profile_security_local_certificate_by_id
Create local-certificate by ID # noqa: E501
"""
pass
def test_create_iceberg_profile_security_ssh_key_profile_by_id(self):
"""Test case for create_iceberg_profile_security_ssh_key_profile_by_id
Create ssh-key-profile by ID # noqa: E501
"""
pass
def test_create_iceberg_profiles(self):
"""Test case for create_iceberg_profiles
Create profile by ID # noqa: E501
"""
pass
def test_delete_files_certificates_by_file_name(self):
"""Test case for delete_files_certificates_by_file_name
Delete a certificate-file. # noqa: E501
"""
pass
def test_delete_files_helper_files_by_file_name(self):
"""Test case for delete_files_helper_files_by_file_name
Delete a helper-file. # noqa: E501
"""
pass
def test_delete_healthbot_ingest_settings_byoi_custom_plugin_by_id(self):
"""Test case for delete_healthbot_ingest_settings_byoi_custom_plugin_by_id
Delete custom-plugin by ID # noqa: E501
"""
pass
def test_delete_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id(self):
"""Test case for delete_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id
Delete tlive-kafka-oc by ID # noqa: E501
"""
pass
def test_delete_healthbot_ingest_settings_byoi_ingest_mapping_by_id(self):
"""Test case for delete_healthbot_ingest_settings_byoi_ingest_mapping_by_id
Delete ingest-mapping by ID # noqa: E501
"""
pass
def test_delete_healthbot_ingest_settings_frequency_profile_by_id(self):
"""Test case for delete_healthbot_ingest_settings_frequency_profile_by_id
Delete frequency-profile by ID # noqa: E501
"""
pass
def test_delete_healthbot_system_time_series_database_time_series_database_by_id(self):
"""Test case for delete_healthbot_system_time_series_database_time_series_database_by_id
Delete time-series-database # noqa: E501
"""
pass
def test_delete_iceberg_ingest_settings(self):
"""Test case for delete_iceberg_ingest_settings
Delete ingest-settings by ID # noqa: E501
"""
pass
def test_delete_iceberg_ingest_settings_flow(self):
"""Test case for delete_iceberg_ingest_settings_flow
Delete flow by ID # noqa: E501
"""
pass
def test_delete_iceberg_ingest_settings_flow_template_by_id(self):
"""Test case for delete_iceberg_ingest_settings_flow_template_by_id
Delete template by ID # noqa: E501
"""
pass
def test_delete_iceberg_ingest_settings_syslog(self):
"""Test case for delete_iceberg_ingest_settings_syslog
Delete syslog by ID # noqa: E501
"""
pass
def test_delete_iceberg_ingest_settings_syslog_pattern_by_id(self):
"""Test case for delete_iceberg_ingest_settings_syslog_pattern_by_id
Delete pattern by ID # noqa: E501
"""
pass
def test_delete_iceberg_ingest_settings_syslog_pattern_set_by_id(self):
"""Test case for delete_iceberg_ingest_settings_syslog_pattern_set_by_id
Delete pattern-set by ID # noqa: E501
"""
pass
def test_delete_iceberg_profile_data_summarization_raw_by_id(self):
"""Test case for delete_iceberg_profile_data_summarization_raw_by_id
Delete raw-data-summarization by ID # noqa: E501
"""
pass
def test_delete_iceberg_profile_security_ca_profile_by_id(self):
"""Test case for delete_iceberg_profile_security_ca_profile_by_id
Delete ca-profile by ID # noqa: E501
"""
pass
def test_delete_iceberg_profile_security_local_certificate_by_id(self):
"""Test case for delete_iceberg_profile_security_local_certificate_by_id
Delete local-certificate by ID # noqa: E501
"""
pass
def test_delete_iceberg_profile_security_ssh_key_profile_by_id(self):
"""Test case for delete_iceberg_profile_security_ssh_key_profile_by_id
Delete ssh-key-profile by ID # noqa: E501
"""
pass
def test_delete_iceberg_profiles(self):
"""Test case for delete_iceberg_profiles
Delete profile by ID # noqa: E501
"""
pass
def test_inspect_command_rpc_table_on_device(self):
"""Test case for inspect_command_rpc_table_on_device
Inspect the given iAgent table. # noqa: E501
"""
pass
def test_restore_helper_files(self):
"""Test case for restore_helper_files
Upload a helper-file. # noqa: E501
"""
pass
def test_retrieve_configuration_jobs(self):
"""Test case for retrieve_configuration_jobs
"""
pass
def test_retrieve_data_database_table(self):
"""Test case for retrieve_data_database_table
Get information about tables for a device of a device-group. # noqa: E501
"""
pass
def test_retrieve_data_database_table_column_by_table_name(self):
"""Test case for retrieve_data_database_table_column_by_table_name
Get information about columns in a table. # noqa: E501
"""
pass
def test_retrieve_data_database_tags_by_table_name(self):
"""Test case for retrieve_data_database_tags_by_table_name
Get information about tags keys and values in a table. # noqa: E501
"""
pass
def test_retrieve_debug_jobs(self):
"""Test case for retrieve_debug_jobs
"""
pass
def test_retrieve_event(self):
"""Test case for retrieve_event
Get all events for a device. # noqa: E501
"""
pass
def test_retrieve_event_by_event_name(self):
"""Test case for retrieve_event_by_event_name
Get instances of a device event. # noqa: E501
"""
pass
def test_retrieve_event_by_event_name_device_group(self):
"""Test case for retrieve_event_by_event_name_device_group
Get instances of a device-group event. # noqa: E501
"""
pass
def test_retrieve_event_by_event_name_network_group(self):
"""Test case for retrieve_event_by_event_name_network_group
Get instances of a network-group event. # noqa: E501
"""
pass
def test_retrieve_event_device_group(self):
"""Test case for retrieve_event_device_group
Get all events for a device-group. # noqa: E501
"""
pass
def test_retrieve_event_network_group(self):
"""Test case for retrieve_event_network_group
Get all events for a network-group. # noqa: E501
"""
pass
def test_retrieve_events(self):
"""Test case for retrieve_events
Get all events. # noqa: E501
"""
pass
def test_retrieve_files_certificates_by_file_name(self):
"""Test case for retrieve_files_certificates_by_file_name
Download a certificate-file. # noqa: E501
"""
pass
def test_retrieve_files_helper_files(self):
"""Test case for retrieve_files_helper_files
Get all helper-file names. # noqa: E501
"""
pass
def test_retrieve_files_helper_files_by_file_name(self):
"""Test case for retrieve_files_helper_files_by_file_name
Download a helper-file. # noqa: E501
"""
pass
def test_retrieve_health_all(self):
"""Test case for retrieve_health_all
Return a dict with health of devices in device groups and network groups # noqa: E501
"""
pass
def test_retrieve_health_tree_by_device_group(self):
"""Test case for retrieve_health_tree_by_device_group
Get device-group health-tree. # noqa: E501
"""
pass
def test_retrieve_health_tree_by_id(self):
"""Test case for retrieve_health_tree_by_id
Return a device's health-tree. # noqa: E501
"""
pass
def test_retrieve_health_tree_by_network_group(self):
"""Test case for retrieve_health_tree_by_network_group
Get network-group health-tree. # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_byoi_custom_plugin_by_id(self):
"""Test case for retrieve_healthbot_ingest_settings_byoi_custom_plugin_by_id
Retrieve custom-plugin by ID # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_byoi_custom_plugins(self):
"""Test case for retrieve_healthbot_ingest_settings_byoi_custom_plugins
Retrieve custom-plugin by ID # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id(self):
"""Test case for retrieve_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id
Retrieve tlive-kafka-oc by ID # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_byoi_default_plugin_tlive_kafkas(self):
"""Test case for retrieve_healthbot_ingest_settings_byoi_default_plugin_tlive_kafkas
Retrieve tlive-kafka-oc # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_byoi_ingest_mapping_by_id(self):
"""Test case for retrieve_healthbot_ingest_settings_byoi_ingest_mapping_by_id
Retrieve ingest-mapping by ID # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_byoi_ingest_mappings(self):
"""Test case for retrieve_healthbot_ingest_settings_byoi_ingest_mappings
Retrieve ingest-mapping # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_frequency_profile(self):
"""Test case for retrieve_healthbot_ingest_settings_frequency_profile
Retrieve frequency-profile # noqa: E501
"""
pass
def test_retrieve_healthbot_ingest_settings_frequency_profile_by_id(self):
"""Test case for retrieve_healthbot_ingest_settings_frequency_profile_by_id
Retrieve frequency-profile by ID # noqa: E501
"""
pass
def test_retrieve_healthbot_system_time_series_database_time_series_database(self):
"""Test case for retrieve_healthbot_system_time_series_database_time_series_database
Retrieve time-series-database # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings(self):
"""Test case for retrieve_iceberg_ingest_settings
Retrieve ingest-settings # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_flow(self):
"""Test case for retrieve_iceberg_ingest_settings_flow
Retrieve flow # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_flow_template_by_id(self):
"""Test case for retrieve_iceberg_ingest_settings_flow_template_by_id
Retrieve template by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_flow_template_ids(self):
"""Test case for retrieve_iceberg_ingest_settings_flow_template_ids
Retrieve template # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog
Retrieve syslog # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog_pattern_by_id(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog_pattern_by_id
Retrieve pattern by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog_pattern_ids(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog_pattern_ids
Retrieve pattern # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog_pattern_set_by_id(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog_pattern_set_by_id
Retrieve pattern-set by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog_pattern_set_ids(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog_pattern_set_ids
Retrieve pattern-set # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog_pattern_sets(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog_pattern_sets
Retrieve pattern-set by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_ingest_settings_syslog_patterns(self):
"""Test case for retrieve_iceberg_ingest_settings_syslog_patterns
Retrieve pattern by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_data_summarization_raw_by_id(self):
"""Test case for retrieve_iceberg_profile_data_summarization_raw_by_id
Retrieve raw-data-summarization by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_data_summarizations_raw(self):
"""Test case for retrieve_iceberg_profile_data_summarizations_raw
Retrieve raw-data-summarization # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_security_ca_profile_by_id(self):
"""Test case for retrieve_iceberg_profile_security_ca_profile_by_id
Retrieve ca-profile by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_security_ca_profiles(self):
"""Test case for retrieve_iceberg_profile_security_ca_profiles
Retrieve ca-profile # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_security_local_certificate_by_id(self):
"""Test case for retrieve_iceberg_profile_security_local_certificate_by_id
Retrieve local-certificate by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_security_local_certificates(self):
"""Test case for retrieve_iceberg_profile_security_local_certificates
Retrieve local-certificate # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_security_ssh_key_profile_by_id(self):
"""Test case for retrieve_iceberg_profile_security_ssh_key_profile_by_id
Retrieve ssh-key-profile by ID # noqa: E501
"""
pass
def test_retrieve_iceberg_profile_security_ssh_key_profiles(self):
"""Test case for retrieve_iceberg_profile_security_ssh_key_profiles
Retrieve ssh-key-profile # noqa: E501
"""
pass
def test_retrieve_iceberg_profiles(self):
"""Test case for retrieve_iceberg_profiles
Retrieve profile # noqa: E501
"""
pass
def test_retrieve_sensors(self):
"""Test case for retrieve_sensors
List all OpenConfig sensors. # noqa: E501
"""
pass
def test_update_healthbot_ingest_settings_byoi_custom_plugin_by_id(self):
"""Test case for update_healthbot_ingest_settings_byoi_custom_plugin_by_id
Update custom-plugin by ID # noqa: E501
"""
pass
def test_update_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id(self):
"""Test case for update_healthbot_ingest_settings_byoi_default_plugin_tlive_kafka_by_id
Update tlive-kafka-oc by ID # noqa: E501
"""
pass
def test_update_healthbot_ingest_settings_byoi_ingest_mapping_by_id(self):
"""Test case for update_healthbot_ingest_settings_byoi_ingest_mapping_by_id
Update ingest-mapping by ID # noqa: E501
"""
pass
def test_update_healthbot_ingest_settings_frequency_profile_by_id(self):
"""Test case for update_healthbot_ingest_settings_frequency_profile_by_id
Update frequency-profile by ID # noqa: E501
"""
pass
def test_update_healthbot_system_time_series_database_time_series_database_by_id(self):
"""Test case for update_healthbot_system_time_series_database_time_series_database_by_id
Update time-series-database by ID # noqa: E501
"""
pass
def test_update_iceberg_ingest_settings(self):
"""Test case for update_iceberg_ingest_settings
Update ingest-settings by ID # noqa: E501
"""
pass
def test_update_iceberg_ingest_settings_flow(self):
"""Test case for update_iceberg_ingest_settings_flow
Update flow by ID # noqa: E501
"""
pass
def test_update_iceberg_ingest_settings_flow_template_by_id(self):
"""Test case for update_iceberg_ingest_settings_flow_template_by_id
Update template by ID # noqa: E501
"""
pass
def test_update_iceberg_ingest_settings_syslog(self):
"""Test case for update_iceberg_ingest_settings_syslog
Update syslog by ID # noqa: E501
"""
pass
def test_update_iceberg_ingest_settings_syslog_pattern_by_id(self):
"""Test case for update_iceberg_ingest_settings_syslog_pattern_by_id
Update pattern by ID # noqa: E501
"""
pass
def test_update_iceberg_ingest_settings_syslog_pattern_set_by_id(self):
"""Test case for update_iceberg_ingest_settings_syslog_pattern_set_by_id
Update pattern-set by ID # noqa: E501
"""
pass
def test_update_iceberg_profile_data_summarization_raw_by_id(self):
"""Test case for update_iceberg_profile_data_summarization_raw_by_id
Update raw-data-summarization by ID # noqa: E501
"""
pass
def test_update_iceberg_profile_security_ca_profile_by_id(self):
"""Test case for update_iceberg_profile_security_ca_profile_by_id
Update ca-profile by ID # noqa: E501
"""
pass
def test_update_iceberg_profile_security_local_certificate_by_id(self):
"""Test case for update_iceberg_profile_security_local_certificate_by_id
Update local-certificate by ID # noqa: E501
"""
pass
def test_update_iceberg_profile_security_ssh_key_profile_by_id(self):
"""Test case for update_iceberg_profile_security_ssh_key_profile_by_id
Update ssh-key-profile by ID # noqa: E501
"""
pass
def test_update_iceberg_profiles(self):
"""Test case for update_iceberg_profiles
Update profile by ID # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 30.195795
| 97
| 0.69372
| 2,944
| 22,979
| 4.959918
| 0.050611
| 0.043008
| 0.078345
| 0.106835
| 0.896726
| 0.881455
| 0.835913
| 0.809684
| 0.732776
| 0.579373
| 0
| 0.01848
| 0.248792
| 22,979
| 760
| 98
| 30.235526
| 0.827424
| 0.477654
| 0
| 0.477273
| 1
| 0
| 0.000824
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.481818
| false
| 0.477273
| 0.022727
| 0
| 0.509091
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 9
|
dd533c281b3db6dcfa2bead7c544fd3a631dad4a
| 94
|
py
|
Python
|
qcelemental/checkup_data/__init__.py
|
coltonbh/QCElemental
|
b75fb72d7f45c8b605ae1a54773d4a8be6655752
|
[
"BSD-3-Clause"
] | 99
|
2018-10-18T18:29:24.000Z
|
2022-02-12T14:35:37.000Z
|
qcelemental/checkup_data/__init__.py
|
coltonbh/QCElemental
|
b75fb72d7f45c8b605ae1a54773d4a8be6655752
|
[
"BSD-3-Clause"
] | 254
|
2018-10-16T21:29:39.000Z
|
2022-03-31T23:38:23.000Z
|
qcelemental/checkup_data/__init__.py
|
Andrew-AbiMansour/QCElemental
|
2e84cd686d5fff0fc79accb28ffa985de4684704
|
[
"BSD-3-Clause"
] | 67
|
2018-11-05T16:18:39.000Z
|
2022-03-25T14:47:36.000Z
|
from . import periodictable, physconst
from .cfour_primary_masses import cfour_primary_masses
| 31.333333
| 54
| 0.87234
| 12
| 94
| 6.5
| 0.583333
| 0.307692
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095745
| 94
| 2
| 55
| 47
| 0.917647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
06d364dd038772ff47d6ba7b5d5e17b3e470a49f
| 35,795
|
py
|
Python
|
Katokadai.py
|
NlGG/EngineeringInformationSystems-
|
b07c79fe6cad8640bca707585558be92459c7dad
|
[
"MIT"
] | null | null | null |
Katokadai.py
|
NlGG/EngineeringInformationSystems-
|
b07c79fe6cad8640bca707585558be92459c7dad
|
[
"MIT"
] | null | null | null |
Katokadai.py
|
NlGG/EngineeringInformationSystems-
|
b07c79fe6cad8640bca707585558be92459c7dad
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
class Katokadai():
def __init__(self):
self.start = [11, 3]
self.goal = [11, 13]
def cells(self):
cell = np.loadtxt( "cell.csv", delimiter="," )
cells = []
for i in range(len(cell)):
cells.append([])
for i in range(len(cell)):
for j in range(len(cell[i])):
cells[-i].append(cell[i-1][j])
return cells
def log(self):
log = []
for i in range(12):
log.append([0 for i in range(17)])
return log
def cost_function(self, place_0, place_1, log):
cells = self.cells()
if log[place_1[0]][place_1[1]] == 0:
mark = cells[place_1[0]][place_1[1]]
if mark == 0:
return log[place_0[0]][place_0[1]] + 1
elif mark == 1:
return log[place_0[0]][place_0[1]] + 3
else:
return 1000
else:
return log[place_1[0]][place_1[1]]
def cost_function2(self, place_0, place_1, log):
cells = self.cells()
if log[place_1[0]][place_1[1]] == 0:
mark = cells[place_1[0]][place_1[1]]
if mark == 0:
return 1
elif mark == 1:
return 3
else:
return 1000
else:
return log[place_1[0]][place_1[1]]
def manhattan(self, present_place, goal):
distance_x = math.fabs(present_place[0] - goal[0])
distance_y = math.fabs(present_place[1] - goal[1])
distance = distance_x + distance_y
return distance
def minimum(self, log):
log = np.array(log)
log1 = log
for i in range(len(log1)):
for j in range(len(log1[i])):
if log1[i][j] == 0:
log1[i][j] = 1000
indexies = np.where(log1 == log1.min())
index = [indexies[0][0], indexies[1][0]]
return index
def breadth_first_search(self):
cells = self.cells()
log = self.log()
depth = 0
# 上、下、左、右の順に評価する。
while log[11][13] == 0:
same_depth = []
if depth == 0:
same_depth.append(self.start)
else:
for i in range(len(cells)):
for j in range(len(cells[i])):
if log[i][j] == depth:
same_depth.append([i, j])
for past_place in same_depth:
up = [past_place[0] + 1, past_place[1]]
down = [past_place[0] - 1, past_place[1]]
left = [past_place[0], past_place[1]-1]
right = [past_place[0], past_place[1]+1]
if past_place[0] == 11 and (past_place[1] != 0 and past_place[1] != 16): #上の辺
log[down[0]][down[1]] = self.cost_function(past_place, down, log)
log[left[0]][left[1]] = self.cost_function(past_place, left, log)
log[right[0]][right[1]] = self.cost_function(past_place, right, log)
elif past_place[0] == 0 and (past_place[1] != 0 and past_place[1] != 16): #下の辺
log[up[0]][up[1]] = self.cost_function(past_place, up, log)
log[left[0]][left[1]] = self.cost_function(past_place, left, log)
log[right[0]][right[1]] = self.cost_function(past_place, right, log)
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 0: #左の辺
log[up[0]][up[1]] = self.cost_function(past_place, up, log)
log[down[0]][down[1]] = self.cost_function(past_place, down, log)
log[right[0]][right[1]] = self.cost_function(past_place, right, log)
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 16: #右の辺
log[up[0]][up[1]] = self.cost_function(past_place, up, log)
log[down[0]][down[1]] = self.cost_function(past_place, down, log)
log[left[0]][left[1]] = self.cost_function(past_place, left, log)
elif past_place[0] == 11 and past_place[1] == 0: #左上隅
log[down[0]][down[1]] = self.cost_function(past_place, down, log)
log[right[0]][right[1]] = self.cost_function(past_place, right, log)
elif past_place[0] == 0 and past_place[1] == 0: #左下隅
log[up[0]][up[1]] = self.cost_function(past_place, up, log)
log[right[0]][right[1]] = self.cost_function(past_place, right, log)
elif past_place[0] == 11 and past_place[1] == 16: #右上隅
log[down[0]][down[1]] = self.cost_function(past_place, down, log)
log[left[0]][left[1]] = self.cost_function(past_place, left, log)
elif past_place[0] == 0 and past_place[1] == 16: #右下隅
log[up[0]][up[1]] = self.cost_function(past_place, up, log)
log[left[0]][left[1]] = self.cost_function(past_place, left, log)
else:
log[up[0]][up[1]] = self.cost_function(past_place, up, log)
log[down[0]][down[1]] = self.cost_function(past_place, down, log)
log[left[0]][left[1]] = self.cost_function(past_place, left, log)
log[right[0]][right[1]] = self.cost_function(past_place, right, log)
depth += 1
return log
def A_star(self):
cells = self.cells()
log = self.log()
past_place = self.start
before_past_place = [0, 0]
morebefore_past_place = [-1,-1]
goal = self.goal
k = 0
# 上、下、左、右の順に評価する。
while log[11][13] == 0:
up = [past_place[0] + 1, past_place[1]]
down = [past_place[0] - 1, past_place[1]]
left = [past_place[0], past_place[1]-1]
right = [past_place[0], past_place[1]+1]
morebefore_past_place = before_past_place
before_past_place = past_place
if past_place[0] == 11 and (past_place[1] != 0 and past_place[1] != 16): #上の辺
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(past_place, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(past_place, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(past_place, goal)
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 0 and (past_place[1] != 0 and past_place[1] != 16): #下の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(past_place, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(past_place, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(past_place, goal)
past_place = up
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 0: #左の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(past_place, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(past_place, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(past_place, goal)
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 16: #右の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(past_place, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(past_place, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(past_place, goal)
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
elif past_place[0] == 11 and past_place[1] == 0: #左上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(past_place, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(past_place, goal)
past_place = down
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 0 and past_place[1] == 0: #左下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(past_place, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(past_place, goal)
past_place = up
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 11 and past_place[1] == 16: #右上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(past_place, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(past_place, goal)
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
elif past_place[0] == 0 and past_place[1] == 16: #右下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(past_place, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(past_place, goal)
past_place = up
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
else:
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(past_place, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(past_place, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(past_place, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(past_place, goal)
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
if past_place == morebefore_past_place:
if past_place[1] != 16:
right = [past_place[0], past_place[1]+1]
if log[past_place[0]][past_place[1]] == log[right[0]][right[1]]:
log[past_place[0]][past_place[1]] += 100
past_place = right
else:
log[past_place[0]][past_place[1]] += 100
past_place = self.minimum(log)
else:
log[past_place[0]][past_place[1]] += 100
past_place = self.minimum(log)
k += 1
if k == 200:
break
return log
def LRTA_star1(self):
cells = self.cells()
log = self.log()
past_place = self.start
before_past_place = [0, 0]
morebefore_past_place = [-1,-1]
goal = self.goal
k = 0
h = self.log()
# 上、下、左、右の順に評価する。
while log[11][13] == 0:
up = [past_place[0] + 1, past_place[1]]
down = [past_place[0] - 1, past_place[1]]
left = [past_place[0], past_place[1]-1]
right = [past_place[0], past_place[1]+1]
morebefore_past_place = before_past_place
before_past_place = past_place
h[before_past_place[0]][before_past_place[1]] = h[past_place[0]][past_place[1]]
if past_place[0] == 11 and (past_place[1] != 0 and past_place[1] != 16): #上の辺
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 0 and (past_place[1] != 0 and past_place[1] != 16): #下の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = up
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 0: #左の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 16: #右の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
elif past_place[0] == 11 and past_place[1] == 0: #左上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = down
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 0 and past_place[1] == 0: #左下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = up
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 11 and past_place[1] == 16: #右上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
elif past_place[0] == 0 and past_place[1] == 16: #右下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
past_place = up
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
else:
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
if past_place == morebefore_past_place:
if past_place[1] != 16:
right = [past_place[0], past_place[1]+1]
if log[past_place[0]][past_place[1]] == log[right[0]][right[1]]:
log[past_place[0]][past_place[1]] += 100
past_place = right
else:
log[past_place[0]][past_place[1]] += 100
past_place = self.minimum(log)
else:
log[past_place[0]][past_place[1]] += 100
past_place = self.minimum(log)
k += 1
if k == 200:
break
return log, h
def LRTA_star2(self):
cells = self.cells()
before_past_place = [0, 0]
morebefore_past_place = [-1,-1]
goal = self.goal
k = 0
log1, h = self.LRTA_star1()
# 上、下、左、右の順に評価する。
while k < 7:
log = self.log()
path = self.log()
past_place = self.start
while log[11][13] == 0:
up = [past_place[0] + 1, past_place[1]]
down = [past_place[0] - 1, past_place[1]]
left = [past_place[0], past_place[1]-1]
right = [past_place[0], past_place[1]+1]
morebefore_past_place = before_past_place
before_past_place = past_place
h[before_past_place[0]][before_past_place[1]] = h[past_place[0]][past_place[1]]
if past_place[0] == 11 and (past_place[1] != 0 and past_place[1] != 16): #上の辺
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 0 and (past_place[1] != 0 and past_place[1] != 16): #下の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = up
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 0: #左の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 16: #右の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
elif past_place[0] == 11 and past_place[1] == 0: #左上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = down
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 0 and past_place[1] == 0: #左下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = up
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
elif past_place[0] == 11 and past_place[1] == 16: #右上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
elif past_place[0] == 0 and past_place[1] == 16: #右下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
past_place = up
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
else:
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = up
if log[down[0]][down[1]] < log[past_place[0]][past_place[1]]:
past_place = down
if log[left[0]][left[1]] < log[past_place[0]][past_place[1]]:
past_place = left
if log[right[0]][right[1]] < log[past_place[0]][past_place[1]]:
past_place = right
if past_place == morebefore_past_place:
if past_place[1] != 16:
right = [past_place[0], past_place[1]+1]
if log[past_place[0]][past_place[1]] == log[right[0]][right[1]]:
log[past_place[0]][past_place[1]] += 100
past_place = right
else:
log[past_place[0]][past_place[1]] += 100
past_place = self.minimum(log)
else:
log[past_place[0]][past_place[1]] += 100
past_place = self.minimum(log)
h = log
path[past_place[0]][past_place[1]] = 1
k += 1
return log, path
def LRTA_star3(self):
cells = self.cells()
log = self.log()
past_place = self.start
before_past_place = [0, 0]
morebefore_past_place = [-1,-1]
goal = self.goal
k = 0
h = self.log()
# ランダムに評価する
while log[11][13] == 0:
up = [past_place[0] + 1, past_place[1]]
down = [past_place[0] - 1, past_place[1]]
left = [past_place[0], past_place[1]-1]
right = [past_place[0], past_place[1]+1]
morebefore_past_place = before_past_place
before_past_place = past_place
h[before_past_place[0]][before_past_place[1]] = h[past_place[0]][past_place[1]]
if past_place[0] == 11 and (past_place[1] != 0 and past_place[1] != 16): #上の辺
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = np.random.choice(down, left, right)
elif past_place[0] == 0 and (past_place[1] != 0 and past_place[1] != 16): #下の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = np.random.choice([up, left, right])
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 0: #左の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = np.random.choice([up, down,right])
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 16: #右の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
past_place = np.random.choice([up, down, left])
elif past_place[0] == 11 and past_place[1] == 0: #左上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = np.random.choice([down, right])
elif past_place[0] == 0 and past_place[1] == 0: #左下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = np.random.choice([upright])
elif past_place[0] == 11 and past_place[1] == 16: #右上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
past_place = np.random.choice([down, left])
elif past_place[0] == 0 and past_place[1] == 16: #右下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
past_place = np.random.choice([up, left])
else:
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + self.manhattan(up, goal)
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + self.manhattan(down, goal)
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + self.manhattan(left, goal)
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + self.manhattan(right, goal)
past_place = np.random.choice([up, down, left, right])
k += 1
if k == 200:
break
return log, h
def LRTA_star4(self):
cells = self.cells()
before_past_place = [0, 0]
morebefore_past_place = [-1,-1]
goal = self.goal
k = 0
log1, h = self.LRTA_star3()
# ランダムに評価する。
while k < 7:
log = self.log()
path = self.log()
past_place = self.start
while log[11][13] == 0:
up = [past_place[0] + 1, past_place[1]]
down = [past_place[0] - 1, past_place[1]]
left = [past_place[0], past_place[1]-1]
right = [past_place[0], past_place[1]+1]
morebefore_past_place = before_past_place
before_past_place = past_place
h[before_past_place[0]][before_past_place[1]] = h[past_place[0]][past_place[1]]
if past_place[0] == 11 and (past_place[1] != 0 and past_place[1] != 16): #上の辺
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = np.random.choice([down, left, right])
elif past_place[0] == 0 and (past_place[1] != 0 and past_place[1] != 16): #下の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = np.random.choice([up, left, right])
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 0: #左の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = np.random.choice([up, down, right])
elif (past_place[0] != 0 and past_place[0] != 11) and past_place[1] == 16: #右の辺
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
past_place = np.random.choice([up, down, left])
elif past_place[0] == 11 and past_place[1] == 0: #左上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = np.random.choice([down, right])
elif past_place[0] == 0 and past_place[1] == 0: #左下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = np.random.choice([up, right])
elif past_place[0] == 11 and past_place[1] == 16: #右上隅
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
past_place = np.random.choice([down, left])
elif past_place[0] == 0 and past_place[1] == 16: #右下隅
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
past_place = np.random.choice([up, left])
else:
log[up[0]][up[1]] = self.cost_function2(past_place, up, log) + h[up[0]][up[1]]
log[down[0]][down[1]] = self.cost_function2(past_place, down, log) + h[down[0]][down[1]]
log[left[0]][left[1]] = self.cost_function2(past_place, left, log) + h[left[0]][left[1]]
log[right[0]][right[1]] = self.cost_function2(past_place, right, log) + h[right[0]][right[1]]
past_place = np.random.choice([up, down, left, right])
k += 1
return log, path
| 61.292808
| 120
| 0.519458
| 4,998
| 35,795
| 3.551421
| 0.021208
| 0.313352
| 0.090704
| 0.12169
| 0.95707
| 0.948507
| 0.946479
| 0.943718
| 0.941239
| 0.941239
| 0
| 0.054625
| 0.324403
| 35,795
| 584
| 121
| 61.292808
| 0.679362
| 0.006984
| 0
| 0.887884
| 0
| 0
| 0.000254
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.023508
| false
| 0
| 0.003617
| 0
| 0.061483
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 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
| 8
|
b0cf750a7d83bdbe60b7e83b81c0293b2c35c814
| 1,985
|
py
|
Python
|
tests/test_url_parser.py
|
ustudio/storage
|
990f68f9d5de28d211c65dd9542e33b8f7c9a956
|
[
"Apache-2.0"
] | 15
|
2015-03-19T13:24:09.000Z
|
2020-09-21T10:58:48.000Z
|
tests/test_url_parser.py
|
ustudio/storage
|
990f68f9d5de28d211c65dd9542e33b8f7c9a956
|
[
"Apache-2.0"
] | 33
|
2015-02-13T03:15:11.000Z
|
2021-06-04T16:29:44.000Z
|
tests/test_url_parser.py
|
ustudio/storage
|
990f68f9d5de28d211c65dd9542e33b8f7c9a956
|
[
"Apache-2.0"
] | 5
|
2016-02-28T14:55:22.000Z
|
2017-02-17T10:48:10.000Z
|
from urllib.parse import urlparse
from unittest import TestCase
from storage import url_parser
class TestUrlParser(TestCase):
def test_remove_user_info_removes_username_and_password(self) -> None:
storage_uri = urlparse("https://username:password@bucket/path/filename")
sanitized_uri = url_parser.remove_user_info(storage_uri)
self.assertEqual("https://bucket/path/filename", sanitized_uri)
def test_remove_user_info_preserves_parameters(self) -> None:
storage_uri = urlparse("https://username:password@bucket/path/filename?other=parameter")
sanitized_uri = url_parser.remove_user_info(storage_uri)
self.assertEqual("https://bucket/path/filename?other=parameter", sanitized_uri)
def test_remove_user_info_preserves_port_number(self) -> None:
storage_uri = urlparse("ftp://username:password@ftp.foo.com:8080/path/filename")
sanitized_uri = url_parser.remove_user_info(storage_uri)
self.assertEqual("ftp://ftp.foo.com:8080/path/filename", sanitized_uri)
def test_sanitize_resource_uri_removes_username_and_password(self) -> None:
storage_uri = urlparse("https://username:password@bucket/path/filename")
sanitized_uri = url_parser.sanitize_resource_uri(storage_uri)
self.assertEqual("https://bucket/path/filename", sanitized_uri)
def test_sanitize_resource_uri_does_not_preserves_parameters(self) -> None:
storage_uri = urlparse("https://username:password@bucket/path/filename?other=parameter")
sanitized_uri = url_parser.sanitize_resource_uri(storage_uri)
self.assertEqual("https://bucket/path/filename", sanitized_uri)
def test_sanitize_resource_uri_preserves_port_number(self) -> None:
storage_uri = urlparse("ftp://username:password@ftp.foo.com:8080/path/filename")
sanitized_uri = url_parser.sanitize_resource_uri(storage_uri)
self.assertEqual("ftp://ftp.foo.com:8080/path/filename", sanitized_uri)
| 44.111111
| 96
| 0.756171
| 253
| 1,985
| 5.612648
| 0.173913
| 0.084507
| 0.133099
| 0.152113
| 0.919718
| 0.90493
| 0.90493
| 0.89507
| 0.861972
| 0.843662
| 0
| 0.009329
| 0.13602
| 1,985
| 44
| 97
| 45.113636
| 0.818659
| 0
| 0
| 0.607143
| 0
| 0
| 0.26398
| 0.09068
| 0
| 0
| 0
| 0
| 0.214286
| 1
| 0.214286
| false
| 0.285714
| 0.107143
| 0
| 0.357143
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
b0fc31a119d90195924e42099e216ff843ec2fcb
| 123
|
py
|
Python
|
trainer/utils/image/__init__.py
|
jason-zl190/sisr_medical
|
570d638a2e5a3301176af671d6b233deb507564f
|
[
"Apache-2.0"
] | 1
|
2020-12-08T11:23:28.000Z
|
2020-12-08T11:23:28.000Z
|
trainer/utils/image/__init__.py
|
jason-zl190/sisr_ct
|
570d638a2e5a3301176af671d6b233deb507564f
|
[
"Apache-2.0"
] | null | null | null |
trainer/utils/image/__init__.py
|
jason-zl190/sisr_ct
|
570d638a2e5a3301176af671d6b233deb507564f
|
[
"Apache-2.0"
] | 1
|
2020-04-13T06:56:19.000Z
|
2020-04-13T06:56:19.000Z
|
from trainer.utils.image.custom_ssim import ssim
from trainer.utils.image.mask import get_central_mask2d, batch_clip_image
| 41
| 73
| 0.869919
| 20
| 123
| 5.1
| 0.65
| 0.215686
| 0.313725
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008772
| 0.073171
| 123
| 2
| 74
| 61.5
| 0.885965
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
7c03d9802e27c02e9b665f852c5cc00fa00eba82
| 195
|
py
|
Python
|
utils.py
|
Wowol/Piano-Bot
|
feab884daa4bbe947bf6d95d816664eb7e46cc48
|
[
"MIT"
] | null | null | null |
utils.py
|
Wowol/Piano-Bot
|
feab884daa4bbe947bf6d95d816664eb7e46cc48
|
[
"MIT"
] | null | null | null |
utils.py
|
Wowol/Piano-Bot
|
feab884daa4bbe947bf6d95d816664eb7e46cc48
|
[
"MIT"
] | null | null | null |
def print_important(message):
print()
print("***********************************************")
print(message)
print("***********************************************")
print()
| 27.857143
| 60
| 0.292308
| 10
| 195
| 5.6
| 0.4
| 0.535714
| 0.607143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138462
| 195
| 6
| 61
| 32.5
| 0.333333
| 0
| 0
| 0.666667
| 0
| 0
| 0.482051
| 0.482051
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0
| 0.333333
| 1
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
9fe1e3941c0e54bbe8b6846ec9043804ee182d7b
| 72
|
py
|
Python
|
tcga/complements/__init__.py
|
numpde/tcga
|
a7df66530a0249b82788f6367b9642b68eaf6ec5
|
[
"MIT"
] | 2
|
2020-06-30T13:15:14.000Z
|
2021-08-04T07:46:02.000Z
|
tcga/complements/__init__.py
|
numpde/tcga
|
a7df66530a0249b82788f6367b9642b68eaf6ec5
|
[
"MIT"
] | null | null | null |
tcga/complements/__init__.py
|
numpde/tcga
|
a7df66530a0249b82788f6367b9642b68eaf6ec5
|
[
"MIT"
] | null | null | null |
from .complements import dna_to_dna, dna_to_rna, rna_to_rna, rna_to_dna
| 36
| 71
| 0.847222
| 15
| 72
| 3.533333
| 0.4
| 0.188679
| 0.301887
| 0.377358
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097222
| 72
| 1
| 72
| 72
| 0.815385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
c660402df6387e17cb7a078e5c2bf90f488d26c7
| 147
|
py
|
Python
|
tests/test_version.py
|
philschatz/manim
|
e3359a571d9a02a08979b3e037ddada3e874eb7c
|
[
"MIT"
] | 1
|
2021-11-01T09:22:36.000Z
|
2021-11-01T09:22:36.000Z
|
tests/test_version.py
|
philschatz/manim
|
e3359a571d9a02a08979b3e037ddada3e874eb7c
|
[
"MIT"
] | 3
|
2021-04-28T14:44:39.000Z
|
2021-04-28T15:32:43.000Z
|
tests/test_version.py
|
philschatz/manim
|
e3359a571d9a02a08979b3e037ddada3e874eb7c
|
[
"MIT"
] | null | null | null |
from manim import __version__
import pkg_resources
def test_version():
assert __version__ == pkg_resources.get_distribution("manim").version
| 21
| 73
| 0.802721
| 18
| 147
| 5.888889
| 0.611111
| 0.226415
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 147
| 6
| 74
| 24.5
| 0.821705
| 0
| 0
| 0
| 0
| 0
| 0.034014
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
05dc0d1ea3ec389defdd925ae8d1f9ebdb21c59e
| 4,182
|
py
|
Python
|
code/xgaze/warp_utils.py
|
ashesh-0/MultiZoomGaze
|
24494a1346d09e21e4b6d999a742b5d31bbbeff0
|
[
"MIT"
] | 1
|
2022-01-24T04:53:00.000Z
|
2022-01-24T04:53:00.000Z
|
code/xgaze/warp_utils.py
|
ashesh-0/MultiZoomGaze
|
24494a1346d09e21e4b6d999a742b5d31bbbeff0
|
[
"MIT"
] | null | null | null |
code/xgaze/warp_utils.py
|
ashesh-0/MultiZoomGaze
|
24494a1346d09e21e4b6d999a742b5d31bbbeff0
|
[
"MIT"
] | null | null | null |
import math
import cv2
import numpy as np
def toRad(angle):
return angle * math.pi / 180
class Warper:
"""
Warp the image in left/right or up/down direction.
"""
def __init__(self, yaw_angle, pitch_angle, imz_sz=224):
self._sz = imz_sz
roll_angle = 0
rotation_vector = np.array([toRad(-1 * pitch_angle), toRad(yaw_angle), toRad(roll_angle)], dtype=np.float32)
self._R = cv2.Rodrigues(rotation_vector)[0]
T1 = np.matrix([[1., 0., 0. - self._sz // 2], [0., 1., 0. - self._sz // 2], [0., 0., 1.]])
T2 = np.matrix([[1., 0., self._sz // 2], [0., 1., self._sz // 2], [0., 0., 1.]])
self._W = T2 * self._R * T1
self.boundaries = self.get_boundaries()
print(f'[{self.__class__.__name__}] Yaw:{yaw_angle} Pitch:{pitch_angle} Boundaries:{self.boundaries}')
# remove the zero component segment.
def get_boundaries(self):
width = height = self._sz
pnts = np.asarray([
[0, 0],
[0, height],
[width, 0],
[width, height],
], dtype=np.float32)
# check: http://answers.opencv.org/question/252/cv2perspectivetransform-with-python/
pnts = np.array([pnts])
dst_pnts = cv2.perspectiveTransform(pnts, self._W)[0]
final_boundaries = np.asarray(dst_pnts, dtype=np.float32)
# print(final_boundaries)
sx = max(0, max(final_boundaries[[0, 1], 0]))
sy = max(0, max(final_boundaries[[0, 2], 1]))
ex = min(width, min(final_boundaries[[2, 3], 0]))
ey = min(height, min(final_boundaries[[1, 3], 1]))
return np.array([sx, sy, ex, ey]).astype(np.int32)
def transform(self, img):
"""
< 1 ms time
"""
transf_img = cv2.warpPerspective(img, self._W, (self._sz, self._sz))
return transf_img
class WarperWithCameraMatrixFull:
"""
Warp the image in left/right or up/down direction.
"""
def __init__(self, camera_matrix, camera_face_distance, yaw_angle, pitch_angle, imz_sz=224):
self._sz = imz_sz
self._C = camera_matrix
self._dis = camera_face_distance
roll_angle = 0
D = np.diagflat([self._dis] * 3)
rotation_vector = np.array([toRad(-1 * pitch_angle), toRad(yaw_angle), toRad(roll_angle)], dtype=np.float32)
self._R = cv2.Rodrigues(rotation_vector)[0]
self._W = self._C @ self._R @ np.linalg.inv(self._C) @ D
self._W = self.cancel_lateral_shift() * self._W
self.boundaries = self.get_boundaries()
print(f'[{self.__class__.__name__}] Yaw:{yaw_angle} Pitch:{pitch_angle} Boundaries:{self.boundaries}')
# remove the zero component segment.
def cancel_lateral_shift(self):
pnts = np.asarray([
[112, 112],
], dtype=np.float32)
pnts = np.array([pnts])
dst_pnts = cv2.perspectiveTransform(pnts, self._W)[0]
# print(dst_pnts.shape, pnts.shape)
final_boundaries = np.asarray(dst_pnts - pnts[0], dtype=np.float32)
bbox = final_boundaries[0]
T2 = np.matrix([[1., 0., 0 - bbox[0]], [0., 1., 0 - bbox[1]], [0., 0., 1.]])
return T2
def get_boundaries(self):
width = height = self._sz
pnts = np.asarray([
[0, 0],
[0, height],
[width, 0],
[width, height],
], dtype=np.float32)
# check: http://answers.opencv.org/question/252/cv2perspectivetransform-with-python/
pnts = np.array([pnts])
dst_pnts = cv2.perspectiveTransform(pnts, self._W)[0]
final_boundaries = np.asarray(dst_pnts, dtype=np.float32)
# print(final_boundaries.astype(np.int))
sx = max(0, max(final_boundaries[[0, 1], 0]))
sy = max(0, max(final_boundaries[[0, 2], 1]))
ex = min(width, min(final_boundaries[[2, 3], 0]))
ey = min(height, min(final_boundaries[[1, 3], 1]))
return np.array([sx, sy, ex, ey]).astype(np.int32)
def transform(self, img):
"""
< 1 ms time
"""
transf_img = cv2.warpPerspective(img, self._W, (self._sz, self._sz))
return transf_img
| 35.440678
| 116
| 0.580105
| 563
| 4,182
| 4.101243
| 0.184725
| 0.090948
| 0.048506
| 0.013859
| 0.802945
| 0.788653
| 0.757038
| 0.757038
| 0.757038
| 0.757038
| 0
| 0.044893
| 0.264945
| 4,182
| 117
| 117
| 35.74359
| 0.706246
| 0.109756
| 0
| 0.701299
| 0
| 0.025974
| 0.050549
| 0.03022
| 0
| 0
| 0
| 0
| 0
| 1
| 0.103896
| false
| 0
| 0.038961
| 0.012987
| 0.246753
| 0.025974
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
af6d7f8d2c1a820b0648d8b9af0799ee7ddd708a
| 173
|
py
|
Python
|
drawtri.py
|
burgeaer/python
|
0cd0c1ea1a5849b8bc32ace9b2e3b67392ff6b79
|
[
"bzip2-1.0.6"
] | null | null | null |
drawtri.py
|
burgeaer/python
|
0cd0c1ea1a5849b8bc32ace9b2e3b67392ff6b79
|
[
"bzip2-1.0.6"
] | null | null | null |
drawtri.py
|
burgeaer/python
|
0cd0c1ea1a5849b8bc32ace9b2e3b67392ff6b79
|
[
"bzip2-1.0.6"
] | null | null | null |
import turtle
board = turtle.Turtle()
board.forward(120)
board.left(100)
board.forward(120)
board.left(100)
board.forward(120)
board.left(100)
board.forward(120)
| 15.727273
| 24
| 0.722543
| 26
| 173
| 4.807692
| 0.269231
| 0.384
| 0.48
| 0.48
| 0.768
| 0.768
| 0.768
| 0.768
| 0.768
| 0.768
| 0
| 0.14
| 0.132948
| 173
| 10
| 25
| 17.3
| 0.693333
| 0
| 0
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 10
|
afa06522ddbb7ad2947cd3b063e715fbc8e76bbf
| 3,420
|
py
|
Python
|
tests/unit/saltenv/cli/test_unit_list.py
|
eitrtechnologies/saltenv
|
66add964657fe270ed96ddfe50802e27539a6526
|
[
"Apache-2.0"
] | 5
|
2022-03-25T17:15:04.000Z
|
2022-03-28T23:24:26.000Z
|
tests/unit/saltenv/cli/test_unit_list.py
|
eitrtechnologies/saltenv
|
66add964657fe270ed96ddfe50802e27539a6526
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/saltenv/cli/test_unit_list.py
|
eitrtechnologies/saltenv
|
66add964657fe270ed96ddfe50802e27539a6526
|
[
"Apache-2.0"
] | 2
|
2022-03-26T06:33:30.000Z
|
2022-03-29T19:43:50.000Z
|
from pathlib import Path
async def test_unit_list_no_local_no_current(mock_hub, hub, capfd):
"""
SCENARIO #1:
- No local versions
- No current version
"""
# Link the function to the mock_hub
mock_hub.saltenv.cli.list = hub.saltenv.cli.list
# Mock fill_local_version_list to do nothing
mock_hub.saltenv.ops.fill_local_version_list.return_value = None
# Set LOCAL_VERSIONS to be {}
mock_hub.saltenv.ops.LOCAL_VERSIONS = {}
# Mock get_current_version to return no current version
mock_hub.saltenv.ops.get_current_version.return_value = ("", "")
# Call list
await mock_hub.saltenv.cli.list()
# Check that the expected list was printed
actual_stdout, err = capfd.readouterr()
expected_stdout = "\n"
assert actual_stdout == expected_stdout
# Ensure every mocked function was called the appropriate number of times
mock_hub.saltenv.ops.fill_local_version_list.assert_called_once()
mock_hub.saltenv.ops.get_current_version.assert_called_once()
async def test_list_local_no_current(mock_hub, hub, tmp_path, capfd):
"""
SCENARIO #2:
- Two local versions
- No current version
"""
# Link the function to the mock_hub
mock_hub.saltenv.cli.list = hub.saltenv.cli.list
# Mock fill_local_version_list to do nothing
mock_hub.saltenv.ops.fill_local_version_list.return_value = None
# Fill LOCAL_VERSIONS with two versions
mock_hub.saltenv.ops.LOCAL_VERSIONS = {
"3001": Path(tmp_path / "salt-3001"),
"3004": Path(tmp_path / "salt-3004"),
}
# Mock get_current_version to return no current version
mock_hub.saltenv.ops.get_current_version.return_value = ("", "")
# Call list
await mock_hub.saltenv.cli.list()
# Check that the expected list was printed
actual_stdout, err = capfd.readouterr()
expected_stdout = " 3004\n 3001\n"
assert actual_stdout == expected_stdout
# Ensure every mocked function was called the appropriate number of times
mock_hub.saltenv.ops.fill_local_version_list.assert_called_once()
mock_hub.saltenv.ops.get_current_version.assert_called_once()
async def test_list_local_current(mock_hub, hub, tmp_path, capfd):
"""
SCENARIO #3:
- Two local versions
- A current version
"""
# Link the function to the mock_hub
mock_hub.saltenv.cli.list = hub.saltenv.cli.list
# Mock fill_local_version_list to do nothing
mock_hub.saltenv.ops.fill_local_version_list.return_value = None
# Fill LOCAL_VERSIONS with two versions
mock_hub.saltenv.ops.LOCAL_VERSIONS = {
"3001": Path(tmp_path / "salt-3001"),
"3004": Path(tmp_path / "salt-3004"),
}
# Mock get_current_version to return no current version
mock_current_version_path = Path(tmp_path) / ".salt-version"
mock_hub.saltenv.ops.get_current_version.return_value = ("3001", mock_current_version_path)
# Call list
await mock_hub.saltenv.cli.list()
# Check that the expected list was printed
actual_stdout, err = capfd.readouterr()
expected_stdout = f" 3004\n* 3001 (set by {mock_current_version_path})\n"
assert actual_stdout == expected_stdout
# Ensure every mocked function was called the appropriate number of times
mock_hub.saltenv.ops.fill_local_version_list.assert_called_once()
mock_hub.saltenv.ops.get_current_version.assert_called_once()
| 33.529412
| 95
| 0.721345
| 491
| 3,420
| 4.745418
| 0.138493
| 0.081116
| 0.12618
| 0.109442
| 0.911588
| 0.911588
| 0.887554
| 0.887554
| 0.855794
| 0.855794
| 0
| 0.019899
| 0.191813
| 3,420
| 101
| 96
| 33.861386
| 0.823082
| 0.252924
| 0
| 0.707317
| 0
| 0
| 0.060843
| 0.013038
| 0
| 0
| 0
| 0
| 0.219512
| 1
| 0
| false
| 0
| 0.02439
| 0
| 0.02439
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
bb92c1f4d5035a5c5c02bddd62aafa5f9ec57a77
| 426
|
py
|
Python
|
backend/flask-api/src/utils/cache.py
|
lucasbibianot/inova-cnj-time16
|
e621d7027bd462d348e233ffd6ed88648c53704b
|
[
"Apache-2.0"
] | null | null | null |
backend/flask-api/src/utils/cache.py
|
lucasbibianot/inova-cnj-time16
|
e621d7027bd462d348e233ffd6ed88648c53704b
|
[
"Apache-2.0"
] | null | null | null |
backend/flask-api/src/utils/cache.py
|
lucasbibianot/inova-cnj-time16
|
e621d7027bd462d348e233ffd6ed88648c53704b
|
[
"Apache-2.0"
] | 2
|
2020-10-19T22:03:31.000Z
|
2020-11-29T21:22:33.000Z
|
import requests_cache
import datetime
def session_cache_request(duracao=30):
expire_after = datetime.timedelta(minutes=duracao)
return requests_cache.CachedSession(cache_name='cache', backend='sqlite', expire_after=expire_after)
def cache_request(duracao=30):
expire_after = datetime.timedelta(minutes=duracao)
return requests_cache.enabled(cache_name='cache', backend='sqlite', expire_after=expire_after)
| 32.769231
| 104
| 0.802817
| 54
| 426
| 6.074074
| 0.351852
| 0.20122
| 0.115854
| 0.128049
| 0.79878
| 0.79878
| 0.79878
| 0.79878
| 0.79878
| 0.5
| 0
| 0.010417
| 0.098592
| 426
| 12
| 105
| 35.5
| 0.84375
| 0
| 0
| 0.25
| 0
| 0
| 0.051643
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
a5451954fa3a753e019eab8a7ee279411ba71cfd
| 147
|
py
|
Python
|
SnakeBackend/main/utils/Point.py
|
PatrickKoss/Snake
|
b15ba77d7b848db48206c14d8e16f10ebcc2e808
|
[
"MIT"
] | null | null | null |
SnakeBackend/main/utils/Point.py
|
PatrickKoss/Snake
|
b15ba77d7b848db48206c14d8e16f10ebcc2e808
|
[
"MIT"
] | 11
|
2021-03-19T12:27:29.000Z
|
2022-02-27T11:10:27.000Z
|
SnakeBackend/main/utils/Point.py
|
PatrickKoss/Snake
|
b15ba77d7b848db48206c14d8e16f10ebcc2e808
|
[
"MIT"
] | null | null | null |
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def repr_json(self):
return dict(x=self.x, y=self.y)
| 18.375
| 39
| 0.52381
| 25
| 147
| 2.88
| 0.44
| 0.208333
| 0.166667
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.340136
| 147
| 7
| 40
| 21
| 0.742268
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
a571b1e0c6203f044e1f0db3e73ae13432287842
| 7,663
|
py
|
Python
|
codes/local_stability.py
|
kant/SpectralCollocationMethods
|
b6e3454d3e0aaf5e6b4829b53b5a51a22fd43a93
|
[
"MIT"
] | null | null | null |
codes/local_stability.py
|
kant/SpectralCollocationMethods
|
b6e3454d3e0aaf5e6b4829b53b5a51a22fd43a93
|
[
"MIT"
] | null | null | null |
codes/local_stability.py
|
kant/SpectralCollocationMethods
|
b6e3454d3e0aaf5e6b4829b53b5a51a22fd43a93
|
[
"MIT"
] | 1
|
2019-03-19T04:01:47.000Z
|
2019-03-19T04:01:47.000Z
|
# -*- coding: utf-8 -*-
#Created on Oct 4, 2016
#@author: Inom Mirzaev
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from spectral_collocation import *
import seaborn as sns
fig_params = {
"font.family": "serif",
"font.serif": ["Times", "Palatino", "serif"],
'axes.facecolor':'white' ,
'figure.facecolor':'white' }
sns.set( context = 'paper' , style='white', palette='deep' , font='serif' ,
font_scale=2, rc=fig_params)
N = 40
C_g = 1
G = 10
C_a = 1.3 * G
C_f = G
C_mu = np.exp(-G)
sol , x = nonlinear_root( N=N , C_f=C_f , C_mu=C_mu ,
C_g = C_g , C_a = C_a )
C_q = 1 / simps( renewal(x)*sol.x , x)
sim_time = np.linspace(0, 2, 500)
plt.close('all')
fig, ax = plt.subplots( nrows=2 , ncols=1 , sharex=True )
fig1, ax1 = plt.subplots( )
ax1.plot( x , sol.x , linewidth=2, color='k')
#==============================================================================
# Initial condition #1
#==============================================================================
np.random.seed(0)
#dummy = np.random.uniform( np.min( sol.x ) , np.max( sol.x ) )
dummy = 1
y0 = 0.5*dummy*np.random.uniform( -1, 1 , len(x) ) + dummy*np.ones_like(x)
#y0 = np.min( sol.x )*np.random.uniform( -1, 1 , len(x) ) + sol.x
yout, sim_time , x = simulate_ode( sim_time , y0 , C_g=C_g ,
C_mu=C_mu , C_q = C_q ,
C_a = C_a , C_f=C_f , N=N )
ax[0].plot( sim_time , simps( yout , x , axis=1) , linewidth=2 , linestyle='solid' )
ax[1].plot( sim_time , simps( x*yout , x , axis=1) , linewidth=2 , linestyle='solid')
ax1.plot( x , y0 , linewidth=2 , linestyle='solid' )
#==============================================================================
# Initial condition #2
#==============================================================================
np.random.seed(1)
#y0 = x**(1/3) + np.min(sol.x)*np.random.uniform( 0, 1 , len(x) )
y0 = sol.x + sol.x*np.random.uniform( 0, 1 , len(x) )
yout, sim_time , x = simulate_ode( sim_time , y0 , C_g=C_g ,
C_mu=C_mu , C_q = C_q ,
C_a = C_a , C_f=C_f , N=N )
ax[0].plot( sim_time , simps( yout , x , axis=1) , linewidth=2 , linestyle='solid' )
ax[1].plot( sim_time , simps( x*yout , x , axis=1) , linewidth=2, linestyle='solid' )
ax1.plot( x , y0 , linewidth=2 , linestyle='solid')
#==============================================================================
# Initial condition #3
#==============================================================================
np.random.seed(110)
dummy = np.min( sol.x )
y0 = 0.5*dummy*np.random.uniform( -1, 1 , len(x) ) + dummy*np.ones_like(x)
yout, sim_time , x = simulate_ode( sim_time , y0 , C_g=C_g ,
C_mu=C_mu , C_q = C_q ,
C_a = C_a , C_f=C_f , N=N )
ax[0].plot( sim_time , simps( yout , x , axis=1) , linewidth=2 , linestyle='solid')
ax[1].plot( sim_time , simps( x*yout , x , axis=1) , linewidth=2, linestyle='solid' )
ax1.plot( x , y0 , linewidth=2 , linestyle='solid')
#==============================================================================
# Final touches
#==============================================================================
ax[1].axhline(y=simps( x*sol.x , x) , linewidth=3 , color = 'k')
ax[1].locator_params(axis='y',nbins=4)
ax[1].set_xlabel('$t$')
ax[1].set_ylabel('$M_1(t)$')
ax[0].axhline(y=simps( sol.x , x) , linewidth=3 , color = 'k')
ax[0].locator_params(axis='y',nbins=4)
ax[0].set_ylabel('$M_0(t)$')
ax1.set_ylabel('$u_*(x)$')
ax1.set_xlabel('$x$')
fig.savefig( '../images/stability_moments.png' , bbox_inches='tight' , dpi=400, facecolor='white')
fig1.savefig( '../images/stability_initial.png' , bbox_inches='tight' , dpi=400, facecolor='white')
#==============================================================================
# Plots for Instability
#==============================================================================
N = 40
C_g = 0.1
G = 10
C_a = 1.3 * G
C_f = G
C_mu = np.exp(-G)
sol , x = nonlinear_root( N=N , C_f=C_f , C_mu=C_mu ,
C_g = C_g , C_a = C_a )
C_q = 1 / simps( renewal(x)*sol.x , x)
sim_time = np.linspace(0, 2, 500)
fig, ax = plt.subplots( nrows=2 , ncols=1 , sharex=True )
fig1, ax1 = plt.subplots( )
ax1.plot( x , sol.x , linewidth=2, color='k')
#==============================================================================
# Initial condition #1
#==============================================================================
np.random.seed(0)
#dummy = np.random.uniform( np.min( sol.x ) , np.max( sol.x ) )
dummy = 1.5
y0 = dummy*np.random.uniform( -1, 1 , len(x) ) + dummy*np.ones_like(x)
#y0 = np.min( sol.x )*np.random.uniform( -1, 1 , len(x) ) + sol.x
yout, sim_time , x = simulate_ode( sim_time , y0 , C_g=C_g ,
C_mu=C_mu , C_q = C_q ,
C_a = C_a , C_f=C_f , N=N )
ax[0].plot( sim_time , simps( yout , x , axis=1) , linewidth=2 , linestyle='solid' )
ax[1].plot( sim_time , simps( x*yout , x , axis=1) , linewidth=2 , linestyle='solid')
ax1.plot( x , y0 , linewidth=2 , linestyle='solid' )
#==============================================================================
# Initial condition #2
#==============================================================================
np.random.seed(1)
#y0 = x**(1/3) + np.min(sol.x)*np.random.uniform( 0, 1 , len(x) )
y0 = sol.x + sol.x*np.random.uniform( 0, 1 , len(x) )
yout, sim_time , x = simulate_ode( sim_time , y0 , C_g=C_g ,
C_mu=C_mu , C_q = C_q ,
C_a = C_a , C_f=C_f , N=N )
ax[0].plot( sim_time , simps( yout , x , axis=1) , linewidth=2 , linestyle='solid' )
ax[1].plot( sim_time , simps( x*yout , x , axis=1) , linewidth=2, linestyle='solid' )
ax1.plot( x , y0 , linewidth=2 , linestyle='solid')
#==============================================================================
# Initial condition #3
#==============================================================================
np.random.seed(110)
dummy = 1#np.min( sol.x )
y0 = 0.5*dummy*np.random.uniform( -1, 1 , len(x) ) + dummy*np.ones_like(x)
yout, sim_time , x = simulate_ode( sim_time , y0 , C_g=C_g ,
C_mu=C_mu , C_q = C_q ,
C_a = C_a , C_f=C_f , N=N )
ax[0].plot( sim_time , simps( yout , x , axis=1) , linewidth=2 , linestyle='solid')
ax[1].plot( sim_time , simps( x*yout , x , axis=1) , linewidth=2, linestyle='solid' )
ax1.plot( x , y0 , linewidth=2 , linestyle='solid')
#==============================================================================
# Final touches
#==============================================================================
ax[1].axhline(y=simps( x*sol.x , x) , linewidth=2 , color = 'k')
ax[1].locator_params(axis='y',nbins=4)
ax[1].set_xlabel('$t$')
ax[1].set_ylabel('$M_1(t)$')
ax[0].axhline(y=simps( sol.x , x) , linewidth=2 , color = 'k')
ax[0].locator_params(axis='y',nbins=4)
ax[0].set_ylabel('$M_0(t)$')
ax1.set_ylabel('$u_*(x)$')
ax1.set_xlabel('$x$')
fig.savefig( '../images/instability_moments.png' , bbox_inches='tight' , dpi=400, facecolor='white')
fig1.savefig( '../images/instability_initial.png' , bbox_inches='tight' , dpi=400, facecolor='white')
| 34.363229
| 114
| 0.452042
| 1,061
| 7,663
| 3.114043
| 0.118756
| 0.031477
| 0.103511
| 0.130751
| 0.878935
| 0.878935
| 0.878935
| 0.878935
| 0.877724
| 0.850484
| 0
| 0.034901
| 0.214798
| 7,663
| 222
| 115
| 34.518018
| 0.51421
| 0.265301
| 0
| 0.769912
| 0
| 0
| 0.077722
| 0.022923
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.044248
| 0
| 0.044248
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
a5af0c7c30c393ef7000c9e7173085fda951c704
| 21,586
|
py
|
Python
|
google/api/serviceusage/v1beta1/api-serviceusage-v1beta1-py/google/api/serviceusage_v1beta1/services/service_usage/pagers.py
|
googleapis/googleapis-gen
|
d84824c78563d59b0e58d5664bfaa430e9ad7e7a
|
[
"Apache-2.0"
] | 7
|
2021-02-21T10:39:41.000Z
|
2021-12-07T07:31:28.000Z
|
google/api/serviceusage/v1beta1/api-serviceusage-v1beta1-py/google/api/serviceusage_v1beta1/services/service_usage/pagers.py
|
googleapis/googleapis-gen
|
d84824c78563d59b0e58d5664bfaa430e9ad7e7a
|
[
"Apache-2.0"
] | 6
|
2021-02-02T23:46:11.000Z
|
2021-11-15T01:46:02.000Z
|
google/api/serviceusage/v1beta1/api-serviceusage-v1beta1-py/google/api/serviceusage_v1beta1/services/service_usage/pagers.py
|
googleapis/googleapis-gen
|
d84824c78563d59b0e58d5664bfaa430e9ad7e7a
|
[
"Apache-2.0"
] | 4
|
2021-01-28T23:25:45.000Z
|
2021-08-30T01:55:16.000Z
|
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# 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.
#
from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator
from google.api.serviceusage_v1beta1.types import resources
from google.api.serviceusage_v1beta1.types import serviceusage
class ListServicesPager:
"""A pager for iterating through ``list_services`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListServicesResponse` object, and
provides an ``__iter__`` method to iterate through its
``services`` field.
If there are more pages, the ``__iter__`` method will make additional
``ListServices`` requests and continue to iterate
through the ``services`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListServicesResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., serviceusage.ListServicesResponse],
request: serviceusage.ListServicesRequest,
response: serviceusage.ListServicesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListServicesRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListServicesResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListServicesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
def pages(self) -> Iterator[serviceusage.ListServicesResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = self._method(self._request, metadata=self._metadata)
yield self._response
def __iter__(self) -> Iterator[resources.Service]:
for page in self.pages:
yield from page.services
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListServicesAsyncPager:
"""A pager for iterating through ``list_services`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListServicesResponse` object, and
provides an ``__aiter__`` method to iterate through its
``services`` field.
If there are more pages, the ``__aiter__`` method will make additional
``ListServices`` requests and continue to iterate
through the ``services`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListServicesResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., Awaitable[serviceusage.ListServicesResponse]],
request: serviceusage.ListServicesRequest,
response: serviceusage.ListServicesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiates the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListServicesRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListServicesResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListServicesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
async def pages(self) -> AsyncIterator[serviceusage.ListServicesResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = await self._method(self._request, metadata=self._metadata)
yield self._response
def __aiter__(self) -> AsyncIterator[resources.Service]:
async def async_generator():
async for page in self.pages:
for response in page.services:
yield response
return async_generator()
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListConsumerQuotaMetricsPager:
"""A pager for iterating through ``list_consumer_quota_metrics`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsResponse` object, and
provides an ``__iter__`` method to iterate through its
``metrics`` field.
If there are more pages, the ``__iter__`` method will make additional
``ListConsumerQuotaMetrics`` requests and continue to iterate
through the ``metrics`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., serviceusage.ListConsumerQuotaMetricsResponse],
request: serviceusage.ListConsumerQuotaMetricsRequest,
response: serviceusage.ListConsumerQuotaMetricsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListConsumerQuotaMetricsRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
def pages(self) -> Iterator[serviceusage.ListConsumerQuotaMetricsResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = self._method(self._request, metadata=self._metadata)
yield self._response
def __iter__(self) -> Iterator[resources.ConsumerQuotaMetric]:
for page in self.pages:
yield from page.metrics
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListConsumerQuotaMetricsAsyncPager:
"""A pager for iterating through ``list_consumer_quota_metrics`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsResponse` object, and
provides an ``__aiter__`` method to iterate through its
``metrics`` field.
If there are more pages, the ``__aiter__`` method will make additional
``ListConsumerQuotaMetrics`` requests and continue to iterate
through the ``metrics`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., Awaitable[serviceusage.ListConsumerQuotaMetricsResponse]],
request: serviceusage.ListConsumerQuotaMetricsRequest,
response: serviceusage.ListConsumerQuotaMetricsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiates the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListConsumerQuotaMetricsResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListConsumerQuotaMetricsRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
async def pages(self) -> AsyncIterator[serviceusage.ListConsumerQuotaMetricsResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = await self._method(self._request, metadata=self._metadata)
yield self._response
def __aiter__(self) -> AsyncIterator[resources.ConsumerQuotaMetric]:
async def async_generator():
async for page in self.pages:
for response in page.metrics:
yield response
return async_generator()
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListAdminOverridesPager:
"""A pager for iterating through ``list_admin_overrides`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListAdminOverridesResponse` object, and
provides an ``__iter__`` method to iterate through its
``overrides`` field.
If there are more pages, the ``__iter__`` method will make additional
``ListAdminOverrides`` requests and continue to iterate
through the ``overrides`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListAdminOverridesResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., serviceusage.ListAdminOverridesResponse],
request: serviceusage.ListAdminOverridesRequest,
response: serviceusage.ListAdminOverridesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListAdminOverridesRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListAdminOverridesResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListAdminOverridesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
def pages(self) -> Iterator[serviceusage.ListAdminOverridesResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = self._method(self._request, metadata=self._metadata)
yield self._response
def __iter__(self) -> Iterator[resources.QuotaOverride]:
for page in self.pages:
yield from page.overrides
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListAdminOverridesAsyncPager:
"""A pager for iterating through ``list_admin_overrides`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListAdminOverridesResponse` object, and
provides an ``__aiter__`` method to iterate through its
``overrides`` field.
If there are more pages, the ``__aiter__`` method will make additional
``ListAdminOverrides`` requests and continue to iterate
through the ``overrides`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListAdminOverridesResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., Awaitable[serviceusage.ListAdminOverridesResponse]],
request: serviceusage.ListAdminOverridesRequest,
response: serviceusage.ListAdminOverridesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiates the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListAdminOverridesRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListAdminOverridesResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListAdminOverridesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
async def pages(self) -> AsyncIterator[serviceusage.ListAdminOverridesResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = await self._method(self._request, metadata=self._metadata)
yield self._response
def __aiter__(self) -> AsyncIterator[resources.QuotaOverride]:
async def async_generator():
async for page in self.pages:
for response in page.overrides:
yield response
return async_generator()
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListConsumerOverridesPager:
"""A pager for iterating through ``list_consumer_overrides`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListConsumerOverridesResponse` object, and
provides an ``__iter__`` method to iterate through its
``overrides`` field.
If there are more pages, the ``__iter__`` method will make additional
``ListConsumerOverrides`` requests and continue to iterate
through the ``overrides`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListConsumerOverridesResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., serviceusage.ListConsumerOverridesResponse],
request: serviceusage.ListConsumerOverridesRequest,
response: serviceusage.ListConsumerOverridesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListConsumerOverridesRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListConsumerOverridesResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListConsumerOverridesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
def pages(self) -> Iterator[serviceusage.ListConsumerOverridesResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = self._method(self._request, metadata=self._metadata)
yield self._response
def __iter__(self) -> Iterator[resources.QuotaOverride]:
for page in self.pages:
yield from page.overrides
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
class ListConsumerOverridesAsyncPager:
"""A pager for iterating through ``list_consumer_overrides`` requests.
This class thinly wraps an initial
:class:`google.api.serviceusage_v1beta1.types.ListConsumerOverridesResponse` object, and
provides an ``__aiter__`` method to iterate through its
``overrides`` field.
If there are more pages, the ``__aiter__`` method will make additional
``ListConsumerOverrides`` requests and continue to iterate
through the ``overrides`` field on the
corresponding responses.
All the usual :class:`google.api.serviceusage_v1beta1.types.ListConsumerOverridesResponse`
attributes are available on the pager. If multiple requests are made, only
the most recent response is retained, and thus used for attribute lookup.
"""
def __init__(self,
method: Callable[..., Awaitable[serviceusage.ListConsumerOverridesResponse]],
request: serviceusage.ListConsumerOverridesRequest,
response: serviceusage.ListConsumerOverridesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiates the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.api.serviceusage_v1beta1.types.ListConsumerOverridesRequest):
The initial request object.
response (google.api.serviceusage_v1beta1.types.ListConsumerOverridesResponse):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = serviceusage.ListConsumerOverridesRequest(request)
self._response = response
self._metadata = metadata
def __getattr__(self, name: str) -> Any:
return getattr(self._response, name)
@property
async def pages(self) -> AsyncIterator[serviceusage.ListConsumerOverridesResponse]:
yield self._response
while self._response.next_page_token:
self._request.page_token = self._response.next_page_token
self._response = await self._method(self._request, metadata=self._metadata)
yield self._response
def __aiter__(self) -> AsyncIterator[resources.QuotaOverride]:
async def async_generator():
async for page in self.pages:
for response in page.overrides:
yield response
return async_generator()
def __repr__(self) -> str:
return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
| 42.492126
| 97
| 0.680858
| 2,248
| 21,586
| 6.326957
| 0.084075
| 0.053997
| 0.0502
| 0.066934
| 0.94066
| 0.94066
| 0.94066
| 0.934613
| 0.930254
| 0.930254
| 0
| 0.005658
| 0.238534
| 21,586
| 507
| 98
| 42.575937
| 0.859646
| 0.463541
| 0
| 0.837209
| 0
| 0
| 0.007659
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.167442
| false
| 0
| 0.013953
| 0.074419
| 0.311628
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
3c45b320f3e45a464f40cb7a6535137c7523275b
| 4,975
|
py
|
Python
|
Amazon_Product_Search.py
|
AshwinAmbal/Gift-Recommendation-Using-Social-Media
|
8119110477e7c71282c063f9bdcbcea068b21096
|
[
"MIT"
] | 6
|
2019-09-05T16:41:51.000Z
|
2022-01-23T08:19:58.000Z
|
Amazon_Product_Search.py
|
AshwinAmbal/Gift-Recommendation-Using-Social-Media
|
8119110477e7c71282c063f9bdcbcea068b21096
|
[
"MIT"
] | null | null | null |
Amazon_Product_Search.py
|
AshwinAmbal/Gift-Recommendation-Using-Social-Media
|
8119110477e7c71282c063f9bdcbcea068b21096
|
[
"MIT"
] | 3
|
2019-01-03T19:48:15.000Z
|
2020-07-11T17:20:23.000Z
|
from amazon.api import AmazonAPI
import csv
import json
amazon = AmazonAPI('AKIAIEOGZE3ZYS64PKVQ',
'bOvagh6eyGG8sVvI8ZipAdrs4qOk5d93BVfKr39A',
'abcd12340eb-21',
MaxQPS=0.9,
Region='US')
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\Scraped_Data.json', 'r') as f:
datastore = json.load(f)
for data in datastore['friends']['data']:
try:
print(data['name'])
Name = data['name']
counter = 0
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\favorite_books_desc.csv'.format(Name), 'r') as f:
reader= csv.reader(f, delimiter='|')
for row in reader:
try:
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\probable_gifts.csv'.format(Name), 'a', newline='') as csvfile:
writer= csv.writer(csvfile, delimiter='|')
products = amazon.search(Keywords=row[1], SearchIndex='Books')
for i, product in enumerate(products):
print(product)
writer.writerow([product])
counter += 1
break
if counter == 3:
break
except Exception as e:
print(e)
continue
except Exception as e:
print(e)
continue
for data in datastore['friends']['data']:
try:
print(data['name'])
Name = data['name']
counter = 0
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\favorite_similar_movies.csv'.format(Name), 'r') as f:
reader= csv.reader(f, delimiter='|')
for row in reader:
try:
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\probable_gifts.csv'.format(Name), 'a', newline='') as csvfile:
writer= csv.writer(csvfile, delimiter='|')
products = amazon.search(Keywords=row[0], SearchIndex='Movies')
for i, product in enumerate(products):
print(product)
writer.writerow([product])
counter += 1
break
if counter == 3:
break
except Exception as e:
print(e)
continue
except Exception as e:
print(e)
continue
for data in datastore['friends']['data']:
try:
print(data['name'])
Name = data['name']
counter = 0
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\favorite_music_albums.csv'.format(Name), 'r') as f:
reader= csv.reader(f, delimiter='|')
for row in reader:
try:
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\probable_gifts.csv'.format(Name), 'a', newline='') as csvfile:
writer= csv.writer(csvfile, delimiter='|')
products = amazon.search(Keywords=row[1], SearchIndex='Music')
for i, product in enumerate(products):
print(row[1], product)
writer.writerow([product])
counter += 1
break
if counter == 3:
break
except Exception as e:
print(e)
continue
except Exception as e:
print(e)
continue
for data in datastore['friends']['data']:
try:
print(data['name'])
Name = data['name']
counter = 0
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\likes_desc.csv'.format(Name), 'r') as f:
reader= csv.reader(f, delimiter='|')
for row in reader:
try:
with open('C:\\Users\\AshwinAmbal\\Desktop\\SDL Lab\\{0}\\probable_gifts.csv'.format(Name), 'a', newline='') as csvfile:
writer= csv.writer(csvfile, delimiter='|')
products = amazon.search(Keywords=row[0], SearchIndex='All')
for i, product in enumerate(products):
print(row[1], product)
writer.writerow([product])
break
except Exception as e:
print(e)
continue
except Exception as e:
print(e)
continue
| 44.419643
| 144
| 0.443015
| 459
| 4,975
| 4.775599
| 0.159041
| 0.032847
| 0.036953
| 0.057482
| 0.890055
| 0.890055
| 0.890055
| 0.890055
| 0.872719
| 0.872719
| 0
| 0.016181
| 0.441005
| 4,975
| 112
| 145
| 44.419643
| 0.772024
| 0
| 0
| 0.831776
| 0
| 0
| 0.157556
| 0.126005
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.028037
| 0
| 0.028037
| 0.149533
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
3c5af127da208fb5d941126e37afe36a08a9b539
| 9,308
|
py
|
Python
|
main/tests/test_billing.py
|
sirodoht/mataroa
|
5bb46e05524d99c346ccf1e5080cb51cb93aa9cc
|
[
"MIT"
] | 30
|
2020-06-09T12:46:18.000Z
|
2022-02-28T23:50:22.000Z
|
main/tests/test_billing.py
|
sirodoht/mataroa
|
5bb46e05524d99c346ccf1e5080cb51cb93aa9cc
|
[
"MIT"
] | 9
|
2020-06-11T15:59:00.000Z
|
2022-03-03T00:39:54.000Z
|
main/tests/test_billing.py
|
sirodoht/mataroa
|
5bb46e05524d99c346ccf1e5080cb51cb93aa9cc
|
[
"MIT"
] | 5
|
2020-06-01T00:15:42.000Z
|
2021-07-02T12:46:43.000Z
|
from datetime import datetime, timedelta
from unittest.mock import patch
import stripe
from django.test import TestCase
from django.urls import reverse
from main import models, views_billing
class BillingCannotChangeIsPremiumTestCase(TestCase):
"""Test user cannot change their is_premium flag without going through billing."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.client.force_login(self.user)
def test_update_billing_settings(self):
data = {
"username": "alice",
"is_premium": True,
}
self.client.post(reverse("user_update"), data)
self.assertFalse(models.User.objects.get(id=self.user.id).is_premium)
class BillingIndexGrandfatherTestCase(TestCase):
"""Test billing pages work accordingly for grandathered user."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.is_grandfathered = True
self.user.save()
self.client.force_login(self.user)
def test_index(self):
response = self.client.get(reverse("billing_index"))
self.assertEqual(response.status_code, 200)
self.assertContains(response, b"Grandfather Plan")
def test_cannot_subscribe(self):
response = self.client.post(reverse("billing_subscription"))
self.assertEqual(response.status_code, 302)
self.assertRedirects(response, reverse("dashboard"))
def test_cannot_cancel_get(self):
response = self.client.get(reverse("billing_subscription_cancel"))
self.assertEqual(response.status_code, 302)
self.assertRedirects(response, reverse("dashboard"))
class BillingIndexFreeTestCase(TestCase):
"""Test billing index works for free user."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.save()
self.client.force_login(self.user)
def test_index(self):
with patch.object(
stripe.Customer, "create", return_value={"id": "cus_123abcdefg"}
), patch.object(
views_billing, "_get_subscription", return_value=None
), patch.object(
views_billing,
"_get_payment_methods",
):
response = self.client.get(reverse("billing_index"))
self.assertEqual(response.status_code, 200)
self.assertContains(response, b"Free Plan")
class BillingIndexPremiumTestCase(TestCase):
"""Test billing index works for premium user."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.is_premium = True
self.user.save()
self.client.force_login(self.user)
def test_index(self):
one_year_later = datetime.now() + timedelta(days=365)
subscription = {
"current_period_end": one_year_later.timestamp(),
"current_period_start": datetime.now().timestamp(),
}
with patch.object(
stripe.Customer, "create", return_value={"id": "cus_123abcdefg"}
), patch.object(
views_billing,
"_get_subscription",
return_value=subscription,
), patch.object(
views_billing, "_get_payment_methods"
):
response = self.client.get(reverse("billing_index"))
self.assertEqual(response.status_code, 200)
self.assertContains(response, b"Premium Plan")
self.assertContains(
response,
f"{one_year_later.strftime('%b %-d, %Y')}".encode("utf-8"),
)
class BillingCardAddTestCase(TestCase):
"""Test billing card add functionality."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.is_premium = True
self.user.save()
self.client.force_login(self.user)
def test_card_add_get(self):
response = self.client.get(reverse("billing_card"))
self.assertEqual(response.status_code, 200)
self.assertContains(response, b"Add card")
def test_card_add_post(self):
one_year_later = datetime.now() + timedelta(days=365)
subscription = {
"current_period_end": one_year_later.timestamp(),
"current_period_start": datetime.now().timestamp(),
}
with patch.object(
stripe.Customer, "create", return_value={"id": "cus_123abcdefg"}
), patch.object(
views_billing,
"_get_subscription",
return_value=subscription,
), patch.object(
views_billing, "_get_payment_methods"
), patch.object(
views_billing, "_attach_card", return_value=True
):
response = self.client.post(
reverse("billing_card"),
data={"card_token": "tok_123"},
follow=True,
)
self.assertEqual(response.status_code, 200)
self.assertContains(response, b"Premium Plan")
self.assertContains(
response,
f"{one_year_later.strftime('%b %-d, %Y')}".encode("utf-8"),
)
class BillingCancelSubscriptionTestCase(TestCase):
"""Test billing cancel subscription."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.is_premium = True
self.user.stripe_customer_id = "cus_123abcdefg"
self.user.save()
self.client.force_login(self.user)
def test_cancel_subscription_get(self):
one_year_later = datetime.now() + timedelta(days=365)
subscription = {
"current_period_end": one_year_later.timestamp(),
"current_period_start": datetime.now().timestamp(),
}
with patch.object(
views_billing,
"_get_subscription",
return_value=subscription,
):
response = self.client.get(reverse("billing_subscription_cancel"))
self.assertEqual(response.status_code, 200)
self.assertContains(response, b"Cancel Premium")
def test_cancel_subscription_post(self):
with patch.object(stripe.Subscription, "delete"), patch.object(
views_billing,
"_get_subscription",
return_value={"id": "sub_123"},
):
response = self.client.post(reverse("billing_subscription_cancel"))
self.assertEqual(response.status_code, 302)
self.assertFalse(models.User.objects.get(id=self.user.id).is_premium)
class BillingCancelSubscriptionTwiceTestCase(TestCase):
"""Test billing cancel subscription when already canceled."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.stripe_customer_id = "cus_123abcdefg"
self.user.save()
self.client.force_login(self.user)
def test_cancel_subscription_get(self):
with patch.object(
views_billing, "_get_subscription", return_value=None
), patch.object(
stripe.Customer, "create", return_value={"id": "cus_123abcdefg"}
), patch.object(
views_billing,
"_get_payment_methods",
):
response = self.client.get(reverse("billing_subscription_cancel"))
# need to check inside with context because billing_index needs
# _get_subscription patch
self.assertRedirects(response, reverse("billing_index"))
def test_cancel_subscription_post(self):
with patch.object(stripe.Subscription, "delete"), patch.object(
views_billing,
"_get_subscription",
return_value=None,
), patch.object(
stripe.Customer, "create", return_value={"id": "cus_123abcdefg"}
), patch.object(
views_billing,
"_get_payment_methods",
):
response = self.client.post(reverse("billing_subscription_cancel"))
self.assertRedirects(response, reverse("billing_index"))
self.assertFalse(models.User.objects.get(id=self.user.id).is_premium)
class BillingReenableSubscriptionTestCase(TestCase):
"""Test re-enabling subscription after cancelation."""
def setUp(self):
self.user = models.User.objects.create(username="alice")
self.user.stripe_customer_id = "cus_123abcdefg"
self.user.save()
self.client.force_login(self.user)
def test_reenable_subscription_post(self):
one_year_later = datetime.now() + timedelta(days=365)
subscription = {
"current_period_end": one_year_later.timestamp(),
"current_period_start": datetime.now().timestamp(),
}
with patch.object(stripe.Subscription, "delete"), patch.object(
views_billing,
"_get_subscription",
return_value=subscription,
), patch.object(
stripe.Customer, "create", return_value={"id": "cus_123abcdefg"}
), patch.object(
views_billing,
"_get_payment_methods",
):
response = self.client.post(reverse("billing_subscription"))
self.assertRedirects(response, reverse("billing_index"))
self.assertTrue(models.User.objects.get(id=self.user.id).is_premium)
| 34.731343
| 86
| 0.636012
| 989
| 9,308
| 5.779575
| 0.134479
| 0.047586
| 0.041987
| 0.060357
| 0.812106
| 0.79916
| 0.773618
| 0.758223
| 0.73198
| 0.716935
| 0
| 0.010594
| 0.24957
| 9,308
| 267
| 87
| 34.861423
| 0.807731
| 0.051676
| 0
| 0.77451
| 0
| 0
| 0.132726
| 0.021742
| 0
| 0
| 0
| 0
| 0.127451
| 1
| 0.102941
| false
| 0
| 0.029412
| 0
| 0.171569
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
3c627356be1b4fd09dd4f356e94e342247957fc7
| 3,824
|
py
|
Python
|
explainable_ai/online/LearningModule/classification.py
|
banna88/Configuration-Space-Reduction
|
3d061deaf2cb06597037bb085b4769483e42fd53
|
[
"MIT"
] | null | null | null |
explainable_ai/online/LearningModule/classification.py
|
banna88/Configuration-Space-Reduction
|
3d061deaf2cb06597037bb085b4769483e42fd53
|
[
"MIT"
] | null | null | null |
explainable_ai/online/LearningModule/classification.py
|
banna88/Configuration-Space-Reduction
|
3d061deaf2cb06597037bb085b4769483e42fd53
|
[
"MIT"
] | null | null | null |
import numpy as np
import sklearn
import sklearn.preprocessing
import tensorflow as tf
# v1, v2
directory = 'model'
def v1_training(dataset, version):
model1 = tf.keras.models.load_model(directory + '/' + version + '_packet_loss.hdf5')
model2 = tf.keras.models.load_model(directory + '/' + version + '_latency.hdf5')
features = np.asarray(dataset['features'])
transformed_features = features.reshape((features.shape[0], features.shape[1], 1))
for model, target, name in [
(model1, dataset['packet_loss'], 'packet_loss'),
(model2, dataset['latency'], 'latency'),
]:
target = np.asarray(dataset[name])
enc = sklearn.preprocessing.OneHotEncoder(categories='auto')
enc.fit(target.reshape(-1, 1))
target = enc.transform(target.reshape(-1, 1)).toarray()
model.fit(transformed_features, target)
model.save(version, name)
return {'message': 'training successful'}
def v1_predicting(dataset, version):
threshold = 90
model1 = tf.keras.models.load_model(directory + '/' + version + '_packet_loss.hdf5')
model2 = tf.keras.models.load_model(directory + '/' + version + '_latency.hdf5')
features = np.asarray(dataset['features'])
features = features.reshape((features.shape[0], features.shape[1], 1))
indexes = [i for i in range(0, len(features))]
for model, name in [
(model1, 'packet_loss'),
(model2, 'latency'),
]:
relevant_features = []
relevant_indexes = []
predictions = model.predict(features)
for index, prediction in enumerate(np.argmax(predictions, axis=1)):
if prediction == 1:
relevant_features.append(features[index])
relevant_indexes.append(indexes[index])
if len(relevant_features) > 0:
features = np.array(relevant_features)
indexes = relevant_indexes
model.save(version, name)
return indexes
def v2_training(dataset, version):
model1 = tf.keras.models.load_model(directory + '/' + version + '_packet_loss.hdf5')
model2 = tf.keras.models.load_model(directory + '/' + version + '_latency.hdf5')
features = np.asarray(dataset['features'])
transformed_features = features.reshape((features.shape[0], features.shape[1], 1))
for model, target, name in [
(model1, dataset['packet_loss'], 'packet_loss'),
(model2, dataset['latency'], 'latency'),
]:
target = np.asarray(dataset[name])
enc = sklearn.preprocessing.OneHotEncoder(categories='auto')
enc.fit(target.reshape(-1, 1))
target = enc.transform(target.reshape(-1, 1)).toarray()
model.fit(transformed_features, target)
model.save(version, name)
return {'message': 'training successful'}
def v2_predicting(dataset, version):
model1 = tf.keras.models.load_model(directory + '/' + version + '_packet_loss.hdf5')
model2 = tf.keras.models.load_model(directory + '/' + version + '_latency.hdf5')
features = np.asarray(dataset['features'])
features = features.reshape((features.shape[0], features.shape[1], 1))
indexes = [i for i in range(0, len(features))]
for model, name in [
(model1, 'packet_loss'),
(model2, 'latency'),
]:
relevant_features = []
relevant_indexes = []
predictions = model.predict(features)
for index, prediction in enumerate(np.argmax(predictions, axis=1)):
if prediction == 1:
relevant_features.append(features[index])
relevant_indexes.append(indexes[index])
if len(relevant_features) > 0:
features = np.array(relevant_features)
indexes = relevant_indexes
model.save(version, name)
return indexes
| 32.134454
| 88
| 0.635722
| 427
| 3,824
| 5.580796
| 0.152225
| 0.041964
| 0.043642
| 0.057071
| 0.936634
| 0.936634
| 0.936634
| 0.936634
| 0.936634
| 0.936634
| 0
| 0.020325
| 0.228033
| 3,824
| 118
| 89
| 32.40678
| 0.786924
| 0.001569
| 0
| 0.878049
| 0
| 0
| 0.087264
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.04878
| false
| 0
| 0.04878
| 0
| 0.146341
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3c8cfe7bd6516370b573ab885a6cf9b40bf713a8
| 139
|
py
|
Python
|
misago/misago/graphql/admin/conftest.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | 2
|
2021-03-06T21:06:13.000Z
|
2021-03-09T15:05:12.000Z
|
misago/misago/graphql/admin/conftest.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | null | null | null |
misago/misago/graphql/admin/conftest.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | null | null | null |
import pytest
from django.urls import reverse
@pytest.fixture
def admin_graphql_link():
return reverse("misago:admin:graphql:index")
| 17.375
| 48
| 0.784173
| 19
| 139
| 5.631579
| 0.736842
| 0.224299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122302
| 139
| 7
| 49
| 19.857143
| 0.877049
| 0
| 0
| 0
| 0
| 0
| 0.18705
| 0.18705
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
b1c9b089ab60a47a383770a4cbd85a5bcdbb5d6b
| 116
|
py
|
Python
|
src/storage/null_storage.py
|
jussike/kuappi
|
985040dc813c023dc1577f31ca7f6744d42c91de
|
[
"MIT"
] | null | null | null |
src/storage/null_storage.py
|
jussike/kuappi
|
985040dc813c023dc1577f31ca7f6744d42c91de
|
[
"MIT"
] | null | null | null |
src/storage/null_storage.py
|
jussike/kuappi
|
985040dc813c023dc1577f31ca7f6744d42c91de
|
[
"MIT"
] | null | null | null |
class NullStorage:
def add(self, _, __=None):
pass
def add_multi(self, _, __=None):
pass
| 12.888889
| 36
| 0.551724
| 13
| 116
| 4.384615
| 0.615385
| 0.210526
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.336207
| 116
| 8
| 37
| 14.5
| 0.74026
| 0
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.4
| 0
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 7
|
b1d4b7ef92351951683dce1e0394f8e8d61565de
| 12,903
|
py
|
Python
|
drone_detector/engines/detectron2/predict.py
|
tvuor/drone_detector
|
2a0a891481e847f43d1afd74960a310ba2acf718
|
[
"Apache-2.0"
] | null | null | null |
drone_detector/engines/detectron2/predict.py
|
tvuor/drone_detector
|
2a0a891481e847f43d1afd74960a310ba2acf718
|
[
"Apache-2.0"
] | null | null | null |
drone_detector/engines/detectron2/predict.py
|
tvuor/drone_detector
|
2a0a891481e847f43d1afd74960a310ba2acf718
|
[
"Apache-2.0"
] | null | null | null |
# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/40_engines.detectron2.predict.ipynb (unless otherwise specified).
__all__ = ['predict_bboxes', 'predict_bboxes_detectron2', 'predict_instance_masks', 'predict_instance_masks_detectron2']
# Cell
from ...imports import *
from ...processing.all import *
from .tta import *
from ...metrics import *
from ...utils import *
import detectron2
from detectron2.config import get_cfg
from detectron2.engine import DefaultPredictor
import cv2
import torch
from shutil import rmtree
from fastcore.foundation import *
from fastcore.script import *
import warnings
warnings.filterwarnings("ignore", category=FutureWarning)
# Cell
def predict_bboxes(path_to_model_config:str,
path_to_image:str,
outfile:str,
processing_dir:str='temp',
tile_size:int=400,
tile_overlap:int=100,
coco_set:str=None,
use_tta:bool=True,
postproc_results:bool=True,
smooth_preds:bool=False):
"Detect bounding boxes from a new image using a pretrained model"
if os.path.exists(processing_dir):
print('Processing folder exists')
return
os.makedirs(processing_dir)
print(f'Reading and tiling {path_to_image} to {tile_size}x{tile_size} tiles with overlap of {tile_overlap}px')
tiler = Tiler(outpath=processing_dir, gridsize_x=int(tile_size), gridsize_y=int(tile_size),
overlap=(int(tile_overlap), int(tile_overlap)))
tiler.tile_raster(path_to_image)
# Check whether is possible to use gpu
device = 'cpu' if not torch.cuda.is_available() else f'cuda:{torch.cuda.current_device()}'
# Loading pretrained model
print('Loading model')
cfg = get_cfg()
cfg.merge_from_file(path_to_model_config)
cfg.DEVICE = device
print('Starting predictions')
image_files = os.listdir(f'{processing_dir}/raster_tiles')
#else:
cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, 'model_final.pth')
predictor = DefaultPredictor(cfg)
if use_tta:
cfg.TEST.AUG.MIN_SIZES = (cfg.INPUT.MIN_SIZE_TEST-200, cfg.INPUT.MIN_SIZE_TEST, cfg.INPUT.MIN_SIZE_TEST+200,)
predictor = TTAPredictor(cfg)
images = []
preds = []
for i in tqdm(rangeof(image_files)):
img = cv2.imread(f'{processing_dir}/raster_tiles/{image_files[i]}')
pred = (predictor(img[...,::-1]))
images.append({'file_name': image_files[i],
'width': img.shape[0],
'height': img.shape[0],
'id': i+1})
preds.append(pred)
# Mask postprocessing:
if smooth_preds:
print('Not yet implemented')
#preds = fill_holes(preds)
#preds = dilate_erode(preds)
preds_coco = detectron2_bbox_preds_to_coco_anns(images, preds)
try:
with open(coco_set) as coco:
cats = json.load(coco)['categories']
except:
print('No categories found, defaulting to dummy classes')
cats = [{'supercategory': 'dummy', 'id':i+1, 'name': f'class_{i+1}'}
for i in range(cfg.ROI_HEADS.NUM_CLASSES)]
# Process preds to shapefiles
coco_proc = COCOProcessor(data_path=processing_dir,
outpath=processing_dir,
coco_info=None, coco_licenses=None,
coco_categories=cats)
preds_coco['categories'] = cats
coco_proc.coco_to_shp(preds_coco, downsample_factor=1)
if postproc_results:
# Drop all polygons whose centroid is not within thresholded cell.
# Thresholded cell is constructed by eroding it by half the overlap area.
grid = tiler.grid
grid = grid.to_crs('EPSG:3067')
num_polys = 0
for cell in grid.itertuples():
if not os.path.isfile(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson'): continue
pred_shp = gpd.read_file(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson')
num_polys += len(pred_shp)
orig_crs = pred_shp.crs
pred_shp = pred_shp.to_crs('EPSG:3067')
cell_px = (cell.geometry.bounds[2] - cell.geometry.bounds[0]) / tile_size
cell_geom = cell.geometry.buffer(-(cell_px * tile_overlap/2))
pred_shp['to_drop'] = pred_shp.apply(lambda row: 0 if row.geometry.centroid.within(cell_geom) else 1, axis=1)
pred_shp = pred_shp[pred_shp.to_drop == 0]
pred_shp = pred_shp.to_crs(orig_crs)
pred_shp.drop(columns=['to_drop'], inplace=True)
if len(pred_shp) > 0: pred_shp.to_file(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson')
else: os.remove(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson')
# Collate shapefiles
print(f'{num_polys} polygons before edge area removal')
# Collate shapefiles
untile_vector(path_to_targets=f'{processing_dir}/predicted_vectors', outpath=outfile)
print('Removing intermediate files')
rmtree(processing_dir)
return
# Cell
@call_parse
def predict_bboxes_detectron2(path_to_model_config:Param("Path to pretrained model folder",type=str),
path_to_image:Param("Path to image to annotate", type=str),
outfile:Param('Path and filename for output raster', type=str),
processing_dir:Param("Directory to save the intermediate tiles. Deleted after use",
type=str, default='temp'),
tile_size:Param("Tile size to use. Default 400x400px tiles", type=int, default=400),
tile_overlap:Param("Tile overlap to use. Default 100px", type=int, default=200),
coco_set:Param("Path to json file for the coco dataset the model was trained on",
type=str, default=None),
use_tta:Param("Use test-time augmentation", store_false),
postproc_results:Param('Filter predicted masks', store_true),
smooth_preds:Param("Run fill_holes and dilate_erode to masks", store_false)
):
"CLI for bbox prediction with detectron2"
predict_bboxes(path_to_model,
path_to_image,
outfile,
processing_dir,
tile_size,
tile_overlap,
use_tta,
postproc_results,
smooth_preds)
# Cell
def predict_instance_masks(path_to_model_config:str,
path_to_image:str,
outfile:str,
processing_dir:str='temp',
tile_size:int=400,
tile_overlap:int=100,
coco_set:str=None,
use_tta:bool=True,
postproc_results:bool=True,
smooth_preds:bool=False):
"Segment instance masks from a new image using a pretrained model"
if os.path.exists(processing_dir):
print('Processing folder exists')
return
os.makedirs(processing_dir)
print(f'Reading and tiling {path_to_image} to {tile_size}x{tile_size} tiles with overlap of {tile_overlap}px')
tiler = Tiler(outpath=processing_dir, gridsize_x=int(tile_size), gridsize_y=int(tile_size),
overlap=(int(tile_overlap), int(tile_overlap)))
tiler.tile_raster(path_to_image)
# Check whether is possible to use gpu
device = 'cpu' if not torch.cuda.is_available() else f'cuda:{torch.cuda.current_device()}'
# Loading pretrained model
print('Loading model')
cfg = get_cfg()
cfg.merge_from_file(path_to_model_config)
cfg.DEVICE = device
print('Starting predictions')
image_files = os.listdir(f'{processing_dir}/raster_tiles')
cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, 'model_final.pth')
predictor = DefaultPredictor(cfg)
if use_tta:
cfg.TEST.AUG.MIN_SIZES = (cfg.INPUT.MIN_SIZE_TEST-200, cfg.INPUT.MIN_SIZE_TEST, cfg.INPUT.MIN_SIZE_TEST+200,)
predictor = TTAPredictor(cfg)
images = []
preds = []
for i in tqdm(rangeof(image_files)):
img = cv2.imread(f'{processing_dir}/raster_tiles/{image_files[i]}')
pred = (predictor(img[...,::-1]))
images.append({'file_name': image_files[i],
'width': img.shape[0],
'height': img.shape[0],
'id': i+1})
preds.append(pred)
# Mask postprocessing:
if smooth_preds:
print('Not yet implemented')
#preds = fill_holes(preds)
#preds = dilate_erode(preds)
preds_coco = detectron2_mask_preds_to_coco_anns(images, preds)
try:
with open(coco_set) as coco:
cats = json.load(coco)['categories']
except:
print('No categories found, defaulting to dummy classes')
cats = [{'supercategory': 'dummy', 'id':i+1, 'name': f'class_{i+1}'}
for i in range(cfg.ROI_HEADS.NUM_CLASSES)]
# Process preds to shapefiles
coco_proc = COCOProcessor(data_path=processing_dir,
outpath=processing_dir,
coco_info=None, coco_licenses=None,
coco_categories=cats)
preds_coco['categories'] = cats
coco_proc.coco_to_shp(preds_coco, downsample_factor=1)
if postproc_results:
# Drop all polygons whose centroid is not within thresholded cell.
# Thresholded cell is constructed by eroding it by half the overlap area.
grid = tiler.grid
grid = grid.to_crs('EPSG:3067')
num_polys = 0
for cell in grid.itertuples():
if not os.path.isfile(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson'): continue
pred_shp = gpd.read_file(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson')
num_polys += len(pred_shp)
orig_crs = pred_shp.crs
pred_shp = pred_shp.to_crs('EPSG:3067')
cell_px = (cell.geometry.bounds[2] - cell.geometry.bounds[0]) / tile_size
cell_geom = cell.geometry.buffer(-(cell_px * tile_overlap/2))
pred_shp['to_drop'] = pred_shp.apply(lambda row: 0 if row.geometry.centroid.within(cell_geom) else 1, axis=1)
pred_shp = pred_shp[pred_shp.to_drop == 0]
pred_shp = pred_shp.to_crs(orig_crs)
pred_shp.drop(columns=['to_drop'], inplace=True)
if len(pred_shp) > 0: pred_shp.to_file(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson')
else: os.remove(f'{processing_dir}/predicted_vectors/{cell.cell}.geojson')
# Collate shapefiles
print(f'{num_polys} polygons before edge area removal')
untile_vector(path_to_targets=f'{processing_dir}/predicted_vectors', outpath=outfile)
print('Removing intermediate files')
rmtree(processing_dir)
return
# Cell
@call_parse
def predict_instance_masks_detectron2(path_to_model_config:Param("Path to pretrained model folder",type=str),
path_to_image:Param("Path to image to annotate", type=str),
outfile:Param('Path and filename for output raster', type=str),
processing_dir:Param("Directory to save the intermediate tiles. Deleted after use",
type=str, default='temp'),
tile_size:Param("Tile size to use. Default 400x400px tiles", type=int, default=400),
tile_overlap:Param("Tile overlap to use. Default 100px", type=int, default=200),
coco_set:Param("Path to json file for the coco dataset the model was trained on",
type=str, default=None),
use_tta:Param("Use test-time augmentation", store_false),
postproc_results:Param('Filter predicted masks', store_true),
smooth_preds:Param("Run fill_holes and dilate_erode to masks", store_false)
):
"CLI for instance segmentation with detectron2"
predict_instance_maskss(path_to_model,
path_to_image,
outfile,
processing_dir,
tile_size,
tile_overlap,
use_tta,
postproc_results,
smooth_preds)
| 44.188356
| 122
| 0.600481
| 1,566
| 12,903
| 4.728608
| 0.16539
| 0.056178
| 0.026469
| 0.03106
| 0.902903
| 0.899392
| 0.899392
| 0.899392
| 0.899392
| 0.899392
| 0
| 0.013206
| 0.301635
| 12,903
| 292
| 123
| 44.188356
| 0.808567
| 0.078586
| 0
| 0.875
| 1
| 0.008929
| 0.21881
| 0.069873
| 0
| 0
| 0
| 0
| 0
| 1
| 0.017857
| false
| 0
| 0.0625
| 0
| 0.098214
| 0.071429
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 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
| 8
|
3ca0cb2c4ae1ba231bbbc3dcf7cfbdd921f5d70a
| 37,380
|
py
|
Python
|
cogs/comandos.py
|
gianpelisser/Magnet_Roles
|
55dc93cfc8d5cb4bd7ae5134489090f6a0a5a8e9
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
cogs/comandos.py
|
gianpelisser/Magnet_Roles
|
55dc93cfc8d5cb4bd7ae5134489090f6a0a5a8e9
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
cogs/comandos.py
|
gianpelisser/Magnet_Roles
|
55dc93cfc8d5cb4bd7ae5134489090f6a0a5a8e9
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
"""
from discord.ext.commands import MissingPermissions
from discord import File
import json
import asyncio
"""
import discord
import discord.role
from discord.ext import commands
import pymysql
import pymysql.cursors
import locales.pt_br
import locales.en
class Comandos(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.cooldown(rate=30, per=1.0, type=commands.BucketType.user)
@commands.guild_only()
@commands.command(name='imadecargos', aliases=['recuperarmeuscargos', 'recuperarcargos', 'recoverroles',
'cargorrecuperar', 'rolesrecover', 'recovermyroles'])
async def imacargos(self, ctx):
"""Recuperar todos os cargos salvos do usuário no servidor do discord.
ATENÇÃO
------------
remover: cargos
Os administradores devem sempre remover cargos usando comando desse bot.
"""
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
user = ctx.author
server = ctx.guild
cursor.execute(f"SELECT id_server FROM `d_servers` WHERE server_id = '{server.id}'")
row_id = cursor.fetchone()
id_server = row_id['id_server']
cursor.execute(f"SELECT * FROM d_roles WHERE discord_id = '{user.id}' "
f"and user_ban = 'yes' or role_ban = 'yes'")
rows_role_banned_from_user = cursor.fetchall()
user_is_ban = 'no'
role_ban_list = []
if rows_role_banned_from_user is not None:
sayonetime = 1
for row_ur_ban in rows_role_banned_from_user:
user_ban = row_ur_ban['user_ban']
role_ban = row_ur_ban['role_ban']
if user_ban == 'yes':
user_is_ban = 'yes'
if sayonetime == 1:
await ctx.send(f"Desculpe **{user.mention}**. Você está proibido de usar esse comando.")
sayonetime += 1
if role_ban == 'yes':
role_ban_list.append(row_ur_ban['role_id'])
roleban = discord.utils.get(ctx.guild.roles, id=row_ur_ban['role_id'])
await ctx.send(f"Cargo _Bloqueado_: {roleban}")
if user_is_ban == 'yes':
return
cursor.execute(f"SELECT * FROM d_roles_adm WHERE id_server = '{id_server}' and role_can_use = 'no'")
rows_role_adm = cursor.fetchall()
roles_adm_list = []
if rows_role_adm is not None:
for roles in rows_role_adm:
roles_adm_list.append(roles['role_id_adm'])
cursor.execute(f"SELECT role_id FROM `d_roles` WHERE discord_id = '{user.id}' and id_server = '{id_server}'")
row_user = cursor.fetchall()
if row_user is not None:
for row in row_user:
role_id = row['role_id']
roleadd = discord.utils.get(ctx.guild.roles, id=role_id)
if not roleadd in ctx.author.roles:
for role in ctx.guild.roles:
if role.id == role_id:
if not role == ctx.guild.default_role:
if not role.id in role_ban_list:
if not role.id in roles_adm_list:
try:
await ctx.author.add_roles(roleadd, reason='BOT: Magnetic of Role')
except discord.Forbidden:
meg_error_forbidden = f"Tentei adicionar um cargo, " \
f"mas não tenho permissão para fazer isso.\n" \
f"Certifique-se de que tenho um cargo de hierarquia mais " \
f"alta do que o cargo que devo adicionar e que " \
f"tenho a permissão para `Gerenciar cargos`.\n" \
f"Discord Server ID: {server.id}\n" \
f"Discord Server Name: {server.name}\n" \
f"Cargo: `{role.name}`\n" \
f"Cargo ID: {role_id}"
print(meg_error_forbidden)
return await ctx.send(meg_error_forbidden)
await ctx.send(f"<@{user.id}> O cargo `{role.name}` foi adicionado.")
"""elif role == ctx.guild.default_role:
await ctx.send("Cargo: Everyone")"""
else:
return await ctx.send(f"<@{user.id}> não foi encontrado cargos salvo para você nesse discord.\n"
f"Use o comando `mrsaveroles` para salvar seus cargos.")
except Exception as error:
raise error
@commands.cooldown(rate=60, per=1.0, type=commands.BucketType.user)
@commands.guild_only()
@commands.command(name='saveroles', aliases=['salvarcargos', 'salvar', 'salvarmeuscargos', 'salvemyroles'])
async def myroles(self, ctx):
"""
Salva todos os cargos do usuário, apenas do discord onde o comando foi usado.
"""
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
user = ctx.author
server = ctx.guild
cursor.execute(f"SELECT id_server FROM `d_servers` WHERE server_id = '{server.id}'")
row_id = cursor.fetchone()
id_server = row_id['id_server']
cursor.execute(f"SELECT * FROM `d_roles` WHERE discord_id = '{user.id}' and id_server = '{id_server}'")
row_user = cursor.fetchone()
if row_user['user_ban'] == 'yes':
return await ctx.send(f"{user.mention} desculpe, mas você está proibido de usar este comando.")
cursor.execute(f"SELECT * FROM d_roles_adm WHERE id_server = '{id_server}' and role_can_use = 'no'")
rows_role_adm = cursor.fetchall()
roles_adm_list = []
if rows_role_adm is not None:
for roles in rows_role_adm:
roles_adm_list.append(roles['role_id_adm'])
# print(f"Os Cargos {roles_adm_list}, não podem ser salvos no Ima de Cargos.")
if row_user is None:
for role in ctx.author.roles:
if not role.id in roles_adm_list:
if not role == ctx.guild.default_role:
await ctx.send(f"Cargo: {role}\n"
f"ID: {role.id}")
sql = "INSERT INTO d_roles (id_server, discord_id, discord_nome, role_id) VALUES(%s,%s,%s,%s)"
val = (id_server, user.id, user.name, role.id)
cursor.execute(sql, val)
db.commit()
cursor.close()
db.close()
elif row_user is not None:
for role in ctx.author.roles:
if not role.id in roles_adm_list:
if not role == ctx.guild.default_role:
await ctx.send(f"Cargo: {role}\n"
f"ID: {role.id}")
cursor.execute(f"SELECT * FROM `d_roles` WHERE role_id = '{role.id}' and id_server = '{id_server}' and discord_id = '{user.id}'")
row_role = cursor.fetchone()
if row_role is None:
sql = "INSERT INTO d_roles (id_server, discord_id, discord_nome, role_id) VALUES(%s,%s,%s,%s)"
val = (id_server, user.id, user.name, role.id)
cursor.execute(sql, val)
db.commit()
else:
pass
cursor.close()
db.close()
try:
cursor.close()
db.close()
except:
pass
return await ctx.send(f"<@{user.id}> Pronto!\n_Cargos salvos!_")
except Exception as e:
return await ctx.send(e)
@commands.guild_only()
@commands.command(name='changeprefix', aliases=['mudarprefixo', 'mudarprefix'])
async def prefix(self, ctx, *, prefix):
"""
Alterar o prefixo do BOT.
Exemplo: mrchangeprefix v
"""
if ctx.author.guild_permissions.administrator:
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
user = ctx.author
server_id = ctx.guild.id
server_name = ctx.guild.name
cursor.execute(f"SELECT * FROM `d_servers` WHERE server_id = '{server_id}'")
row = cursor.fetchone()
if row is not None:
cursor.execute(f"UPDATE `d_servers` SET server_prefix = '{str(prefix)}', server_nome = '{server_name}' WHERE server_id = '{server_id}'")
db.commit()
cursor.close()
db.close()
return await ctx.send(f"<@{user.id}> o prefixo do BOT foi alterado.\n"
f"**Novo prefixo:** {str(prefix)}")
else:
cursor.close()
db.close()
return
except Exception as e:
return await ctx.send(e)
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='removerole', aliases=['tirarcargo'])
async def roleromeve(self, ctx, role: discord.Role = None, member: discord.Member = None):
"""
Remove um cargo de um usuário mencionado.
É necessario remover o cargo dos usuários com esse comando para que:
o usuário não pegue novamente com o comando "ima de cargos"
"""
if role is None:
return await ctx.send(f"OPS. Você não informou um Cargo (Role).")
if member is None:
member = ctx.author
if ctx.author.guild_permissions.administrator:
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
guild = ctx.guild
# server_name = ctx.guild.name
cursor.execute(f"SELECT id_server FROM d_servers WHERE server_id = '{guild.id}'")
rowserver = cursor.fetchone()
id_server = rowserver['id_server']
cursor.execute(f"SELECT * FROM d_roles WHERE discord_id = '{member.id}'"
f"and id_server = '{id_server}' and role_id = '{role.id}'")
row = cursor.fetchone()
if row is not None:
cursor.execute(f"""
UPDATE d_roles SET role_ban = 'yes'
WHERE role_id = '{role.id}' and discord_id = '{member.id}' and id_server = '{id_server}'
""")
db.commit()
cursor.close()
db.close()
for role1 in ctx.guild.roles:
if role1.id == role.id:
if not role == ctx.guild.default_role:
try:
await ctx.author.remove_roles(role, reason='BOT: Magnetic of Role')
except discord.Forbidden:
meg_error_forbidden = f"Tentei remover um cargo, " \
f"mas não tenho permissão para fazer isso.\n" \
f"Certifique-se de que tenho um cargo de hierarquia mais " \
f"alto do que o cargo que devo remover e que " \
f"tenho a permissão para `Gerenciar cargos`.\n" \
f"Discord Server ID: {guild.id}\n" \
f"Discord Server Name: {guild.name}\n" \
f"Cargo: `{role.name}`\n" \
f"Cargo ID: {role.id}"
print(meg_error_forbidden)
return await ctx.send(meg_error_forbidden)
await ctx.send(f"<@{ctx.author.id}> o cargo `{role.name}` foi removido do usuário: "
f"{member.mention}")
return await ctx.send(f"{ctx.author.mention} esse cargo foi bloqueado do `Ima de Cargos`"
f" o usuário {member.mention} não poderá receber esse cargo novamente.")
else:
cursor.close()
db.close()
for role1 in ctx.guild.roles:
if role1.id == role.id:
if not role == ctx.guild.default_role:
try:
await ctx.author.remove_roles(role, reason='BOT: Magnetic of Role')
except discord.Forbidden:
meg_error_forbidden = f"Tentei remover um cargo, " \
f"mas não tenho permissão para fazer isso.\n" \
f"Certifique-se de que tenho um cargo de hierarquia mais " \
f"alto do que o cargo que devo remover e que " \
f"tenho a permissão para `Gerenciar cargos`.\n" \
f"Discord Server ID: {guild.id}\n" \
f"Discord Server Name: {guild.name}\n" \
f"Cargo: `{role.name}`\n" \
f"Cargo ID: {role.id}"
print(meg_error_forbidden)
return await ctx.send(meg_error_forbidden)
await ctx.send(f"<@{ctx.author.id}> o cargo `{role.name}` foi removido do usuário: "
f"{member.mention}")
return await ctx.send(f"{ctx.author.mention} esse cargo não foi salvo no `Ima de Cargos`"
f" para o usuário {member.mention}")
except Exception as e:
print(e)
return await ctx.send(e)
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='addrole', aliases=['acidionarcargo', 'acidionarrole'])
async def roleadd(self, ctx, role: discord.Role = None, member: discord.Member = None):
"""
Adiciona um cargo para um usuário mencionado.
É necessario adicionar o cargo dos usuários com esse comando quando:
For removido um cargo do usuário usando o comando `removerole`
"""
if role is None:
return await ctx.send(f"OPS. Você não informou um Cargo (Role).")
if member is None:
member = ctx.author
if ctx.author.guild_permissions.administrator:
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
guild = ctx.guild
# server_name = ctx.guild.name
cursor.execute(f"SELECT id_server FROM d_servers WHERE server_id = '{guild.id}'")
rowserver = cursor.fetchone()
id_server = rowserver['id_server']
cursor.execute(f"SELECT * FROM d_roles WHERE discord_id = '{member.id}'"
f"and id_server = '{id_server}' and role_id = '{role.id}'")
row = cursor.fetchone()
if row is not None:
cursor.execute(f"""
UPDATE d_roles SET role_ban = 'no'
WHERE role_id = '{role.id}' and discord_id = '{member.id}' and id_server = '{id_server}'
""")
db.commit()
cursor.close()
db.close()
for role1 in ctx.guild.roles:
if role1.id == role.id:
if not role == ctx.guild.default_role:
try:
await ctx.author.add_roles(role, reason='BOT: Magnetic of Role')
except discord.Forbidden:
meg_error_forbidden = f"Tentei adicionar um cargo, " \
f"mas não tenho permissão para fazer isso.\n" \
f"Certifique-se de que tenho um cargo de hierarquia mais " \
f"alto do que o cargo que devo adicionar. E que " \
f"tenho a permissão para `Gerenciar cargos`.\n" \
f"Discord Server ID: {guild.id}\n" \
f"Discord Server Name: {guild.name}\n" \
f"Cargo: `{role.name}`\n" \
f"Cargo ID: {role.id}"
print(meg_error_forbidden)
return await ctx.send(meg_error_forbidden)
await ctx.send(f"<@{ctx.author.id}> o cargo `{role.name}` foi adicionado para o usuário: "
f"{member.mention}")
return await ctx.send(f"{ctx.author.mention} esse cargo foi desbloqueado do `Ima de Cargos`"
f" o usuário {member.mention} poderá receber esse cargo novamente.\n"
f"_Se ele sair do servidor e usar o `Ima de Cargos`_.")
else:
for role1 in ctx.guild.roles:
if role1.id == role.id:
if not role == ctx.guild.default_role:
try:
await ctx.author.add_roles(role, reason='BOT: Magnetic of Role')
except discord.Forbidden:
meg_error_forbidden = f"Tentei remover um cargo, " \
f"mas não tenho permissão para fazer isso.\n" \
f"Certifique-se de que tenho um cargo de hierarquia mais " \
f"alto do que o cargo que devo remover e que " \
f"tenho a permissão para `Gerenciar cargos`.\n" \
f"Discord Server ID: {guild.id}\n" \
f"Discord Server Name: {guild.name}\n" \
f"Cargo: `{role.name}`\n" \
f"Cargo ID: {role.id}"
print(meg_error_forbidden)
return await ctx.send(meg_error_forbidden)
await ctx.send(f"<@{ctx.author.id}> o cargo `{role.name}` foi adicionado para o usuário: "
f"{member.mention}")
sql = "INSERT INTO d_roles (id_server, discord_id, discord_nome, role_id)" \
"VALUES (%s,%s,%s,%s)"
val = (id_server, member.id, member.name, role.id)
cursor.execute(sql, val)
db.commit()
cursor.close()
db.close()
return await ctx.send(f"{ctx.author.mention} esse cargo foi salvo no `Ima de Cargos`"
f" para o usuário {member.mention}")
except Exception as e:
print(e)
return await ctx.send(e)
@roleadd.error
async def on_command_error(self, ctx, error):
if isinstance(error, commands.errors.RoleNotFound):
print(error)
return await ctx.send("Você não informou um Cargo existente nesse Servidor.")
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='addbanrole', aliases=['blockrole', 'banirrole'])
async def roleban(self, ctx, *, role: discord.Role = None):
"""
Bloqueia (ban) um cargo (role) de ser salvo no servidor.
Os Administradores podem usar esse comando para bloquear cargos com ADM e outros.
Mesmo que o cargo já tenha sido salvo, ele não será adicionado.
"""
if role is None:
return await ctx.send(f"OPS. Você não informou um Cargo (Role).")
member = ctx.author
if ctx.author.guild_permissions.administrator:
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
server_id = ctx.guild.id
# server_name = ctx.guild.name
cursor.execute(f"SELECT id_server FROM d_servers WHERE server_id = '{server_id}'")
rowserver = cursor.fetchone()
id_server = rowserver['id_server']
cursor.execute(f"SELECT * FROM d_roles_adm WHERE role_id_adm = '{role.id}'"
f"and id_server = '{id_server}'")
row = cursor.fetchone()
if row is None:
sql = "INSERT INTO d_roles_adm (role_id_adm, role_name_adm, role_can_use, id_server)" \
"VALUES (%s,%s,%s,%s)"
val = (role.id, role.name, 'no', id_server)
cursor.execute(sql, val)
db.commit()
cursor.close()
db.close()
return await ctx.send(f"O Cargo (Role) **{role.name}** foi bloqueada do Ima de cargos.")
else:
cursor.close()
db.close()
return await ctx.send(f"O Cargo (Role) **{role.name}** já está bloqueado do Ima de cargos.")
except Exception as e:
return await ctx.send(e)
else:
await ctx.message.delete()
return await ctx.send(f"{member.mention} Somente Administradores podem usar esse comando.", delete_after=10)
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='removebanrole', aliases=['removeblockrole', 'desbanirrole'])
async def removeroleban(self, ctx, *, role: discord.Role = None):
"""
Remove o Bloqueio (ban) de um cargo (role), permitindo que ele sejá salvo no ima de cargos.
Os Administradores podem usar esse comando para desbloquear cargos bloqueados.
"""
if role is None:
return await ctx.send(f"OPS. Você não informou um Cargo (Role).")
member = ctx.author
if ctx.author.guild_permissions.administrator:
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
server_id = ctx.guild.id
# server_name = ctx.guild.name
cursor.execute(f"SELECT id_server FROM d_servers WHERE server_id = '{server_id}'")
rowserver = cursor.fetchone()
id_server = rowserver['id_server']
cursor.execute(f"SELECT * FROM d_roles_adm WHERE role_id_adm = '{role.id}' "
f"and id_server = '{id_server}'")
row = cursor.fetchone()
if row is not None:
cursor.execute(f"DELETE FROM d_roles_adm WHERE role_id_adm = '{role.id}'")
db.commit()
cursor.close()
db.close()
return await ctx.send(f"O Cargo (Role) **{role.name}** foi desbloqueado do Ima de cargos.")
else:
cursor.close()
db.close()
return await ctx.send(f"O Cargo (Role) **{role.name}** não sstá bloqueado do Ima de cargos.")
except Exception as e:
return await ctx.send(e)
else:
await ctx.message.delete()
return await ctx.send(f"{member.mention} Somente Administradores podem usar esse comando.", delete_after=10)
@removeroleban.error
async def on_command_error(self, ctx, error):
if isinstance(error, commands.errors.RoleNotFound):
print(error)
return await ctx.send("Você não informou um Cargo existente nesse Servidor.")
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='removebanuser', aliases=['removeblockuser', 'desbaniruser'])
async def removeuserban(self, ctx, *, member: discord.Member = None):
"""
Remove o Bloqueio (ban) de um usuário, permitindo que ele use os comandos no servidor.
Referente ao comando 'addbanuser'
"""
if member is None:
return await ctx.send(f"OPS. Você não informou um usuário.")
if ctx.author.guild_permissions.administrator:
member_adm = ctx.author
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
server_id = ctx.guild.id
cursor.execute(f"SELECT id_server FROM d_servers WHERE server_id = '{server_id}'")
rowserver = cursor.fetchone()
id_server = rowserver['id_server']
cursor.execute(f"SELECT * FROM d_roles_adm WHERE role_id_adm = '{member.id}' "
f"and id_server = '{id_server}'")
row = cursor.fetchone()
if row is not None:
cursor.execute(f"UPDATE d_roles SET user_ban = 'no' WHERE discord_id = '{member.id}' "
f"and id_server = '{id_server}'")
db.commit()
cursor.close()
db.close()
return await ctx.send(f"{member_adm.mention} O usuário **{member.mention}** foi desbloqueado do Ima de cargos.")
else:
cursor.close()
db.close()
return await ctx.send(f"O usuário **{member.name}** não usou o comando `saveroles` ainda.")
except Exception as e:
return await ctx.send(e)
else:
try:
await ctx.message.delete()
except:
pass
return await ctx.send(f"{member.mention} Somente Administradores podem usar esse comando.", delete_after=10)
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='addbanuser', aliases=['adicionarblockuser', 'dbaniruser'])
async def adduserban(self, ctx, *, member: discord.Member = None):
"""
Banir um usuário, bloqueando que ele use os comandos do bot nesse servidor discord.
Os Administradores podem usar esse comando para bloquear usuários que fica entrando e saindo sem motivo.
use `removebanuser` para desbanir.
"""
if member is None:
return await ctx.send(f"OPS. Você não informou um usuário.")
if ctx.author.guild_permissions.administrator:
member_adm = ctx.author
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
server_id = ctx.guild.id
cursor.execute(f"SELECT id_server FROM d_servers WHERE server_id = '{server_id}'")
rowserver = cursor.fetchone()
id_server = rowserver['id_server']
cursor.execute(f"SELECT * FROM d_roles_adm WHERE role_id_adm = '{member.id}' "
f"and id_server = '{id_server}'")
row = cursor.fetchone()
if row is not None:
cursor.execute(f"UPDATE d_roles SET user_ban = 'yes' WHERE discord_id = '{member.id}' "
f"and id_server = '{id_server}'")
db.commit()
cursor.close()
db.close()
return await ctx.send(
f"{member_adm.mention} O usuário **{member.mention}** foi bloqueado do BOT **Ima de cargos**"
f" nesse servidor discord.\nVocê pode usar `removebanuser` para desbanir.")
else:
# talvez fazer um insert aqui, para adicionar ban a um usuário.
cursor.close()
db.close()
return await ctx.send(f"O usuário **{member.name}** não usou o comando `saveroles` ainda.")
except Exception as e:
return await ctx.send(e)
else:
try:
await ctx.message.delete()
except:
pass
return await ctx.send(f"{member.mention} Somente Administradores podem usar esse comando.", delete_after=10)
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='memberjoinon', aliases=['memberjoinallow'])
async def turonmemberjoin(self, ctx):
"""
Habilitar On Member Join - Para os cargos serem adicionados ao entrar no servidor discord.
"""
if ctx.author.guild_permissions.administrator:
member = ctx.author
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
server_id = ctx.guild.id
cursor.execute(f"SELECT * FROM d_servers WHERE server_id = '{server_id}'")
rowserver = cursor.fetchone()
if rowserver is not None:
cursor.execute(f"UPDATE `d_servers` SET `on_member_join` = 'yes' WHERE `server_id` = '{server_id}'")
db.commit()
cursor.close()
db.close()
return await ctx.send(
f"{member.mention} Pronto. Agora quando um usuário entrar no servidor se ele(a) ter cargos"
f" salvos, vai receber automaticamente.")
else:
# talvez fazer um insert aqui, para adicionar ban a um usuário.
cursor.close()
db.close()
return await ctx.send(f"Tem algo errado: Erro #01 - On Member Join")
except Exception as e:
return await ctx.send(e)
else:
try:
await ctx.message.delete()
except:
pass
return await ctx.send(f"{ctx.author.mention} Somente Administradores podem usar esse comando.", delete_after=10)
@commands.cooldown(rate=1, per=1.0, type=commands.BucketType.channel)
@commands.guild_only()
@commands.command(name='memberjoinoff', aliases=['memberjoindeny'])
async def turoffmemberjoin(self, ctx):
"""
Desativar On Member Join - Para os cargos não sejá adicionado ao entrar no servidor discord.
"""
if ctx.author.guild_permissions.administrator:
member = ctx.author
try:
db = pymysql.connect(
host='127.0.0.1',
user='usuario',
password='Senha-password',
db='magnetroles',
cursorclass=pymysql.cursors.DictCursor)
cursor = db.cursor()
server_id = ctx.guild.id
cursor.execute(f"SELECT * FROM d_servers WHERE server_id = '{server_id}'")
rowserver = cursor.fetchone()
if rowserver is not None:
cursor.execute(f"UPDATE `d_servers` SET `on_member_join` = 'no' WHERE `server_id` = '{server_id}'")
db.commit()
cursor.close()
db.close()
return await ctx.send(
f"{member.mention} Pronto. Receber cargos automaticamente foi desativado.")
else:
# talvez fazer um insert aqui, para adicionar ban a um usuário.
cursor.close()
db.close()
return await ctx.send(f"Tem algo errado: Erro #02 - On Member Join")
except Exception as e:
return await ctx.send(e)
else:
try:
await ctx.message.delete()
except:
pass
return await ctx.send(f"{ctx.author.mention} Somente Administradores podem usar esse comando.",
delete_after=10)
def setup(bot):
bot.add_cog(Comandos(bot))
| 51.346154
| 158
| 0.469422
| 3,797
| 37,380
| 4.520938
| 0.084804
| 0.036351
| 0.041244
| 0.051381
| 0.813876
| 0.790924
| 0.769544
| 0.749505
| 0.738262
| 0.734184
| 0
| 0.005981
| 0.440877
| 37,380
| 727
| 159
| 51.416781
| 0.815359
| 0.012921
| 0
| 0.784281
| 0
| 0.013378
| 0.25868
| 0
| 0
| 0
| 0
| 0.002751
| 0
| 1
| 0.003344
| false
| 0.028428
| 0.011706
| 0
| 0.102007
| 0.01505
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
3ce6a082d6d0121d5c36614d42ad45fd0b99ce01
| 134
|
py
|
Python
|
example_project/example_app/tests/__init__.py
|
liberation/django-carrier-pigeon
|
c8dd0d6e1368a709986341697dbd644f2d1af59a
|
[
"WTFPL"
] | 5
|
2015-05-18T13:48:56.000Z
|
2019-10-20T18:40:57.000Z
|
example_project/example_app/tests/__init__.py
|
liberation/django-carrier-pigeon
|
c8dd0d6e1368a709986341697dbd644f2d1af59a
|
[
"WTFPL"
] | 5
|
2016-05-03T09:15:48.000Z
|
2019-04-11T11:30:23.000Z
|
example_project/example_app/tests/__init__.py
|
liberation/django-carrier-pigeon
|
c8dd0d6e1368a709986341697dbd644f2d1af59a
|
[
"WTFPL"
] | 3
|
2015-10-20T13:08:44.000Z
|
2019-03-25T02:46:13.000Z
|
from sequential.zip_packer import *
from sequential.flat_packer import *
from mass.zip_packer import *
from mass.flat_packer import *
| 26.8
| 36
| 0.820896
| 20
| 134
| 5.3
| 0.35
| 0.45283
| 0.45283
| 0.358491
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119403
| 134
| 4
| 37
| 33.5
| 0.898305
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
a7175469c4042d1e24a8e21a3aa86f2d7b4a52d1
| 206
|
py
|
Python
|
colosseum/mdps/simple_grid/__init__.py
|
MichelangeloConserva/Colosseum
|
b0711fd9ce75520deb74cda75c148984a8e4152f
|
[
"MIT"
] | null | null | null |
colosseum/mdps/simple_grid/__init__.py
|
MichelangeloConserva/Colosseum
|
b0711fd9ce75520deb74cda75c148984a8e4152f
|
[
"MIT"
] | null | null | null |
colosseum/mdps/simple_grid/__init__.py
|
MichelangeloConserva/Colosseum
|
b0711fd9ce75520deb74cda75c148984a8e4152f
|
[
"MIT"
] | null | null | null |
from colosseum.mdps.simple_grid.continuous import SimpleGridContinuous
from colosseum.mdps.simple_grid.episodic import SimpleGridEpisodic
from colosseum.mdps.simple_grid.simple_grid import SimpleGridReward
| 51.5
| 70
| 0.898058
| 25
| 206
| 7.24
| 0.44
| 0.220994
| 0.281768
| 0.381215
| 0.447514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058252
| 206
| 3
| 71
| 68.666667
| 0.93299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
a72477204922253d7962ffeae60ec91758db9683
| 168
|
py
|
Python
|
covid/util/util.py
|
c200chromebook/Covid_Model
|
860221a222ffab6a12d3894b58c7170af6e6b8bb
|
[
"MIT"
] | 2
|
2020-03-15T22:32:06.000Z
|
2020-03-18T11:05:56.000Z
|
covid/util/util.py
|
c200chromebook/Covid_Model
|
860221a222ffab6a12d3894b58c7170af6e6b8bb
|
[
"MIT"
] | null | null | null |
covid/util/util.py
|
c200chromebook/Covid_Model
|
860221a222ffab6a12d3894b58c7170af6e6b8bb
|
[
"MIT"
] | null | null | null |
import re
def parse_tuple_list(list_of_tuples):
return [tuple(state.strip('()').split(',')) for state in re.findall(r'(\([\w\.\-\d]+,[.\d]+\))', list_of_tuples)]
| 28
| 117
| 0.619048
| 26
| 168
| 3.769231
| 0.692308
| 0.122449
| 0.244898
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10119
| 168
| 5
| 118
| 33.6
| 0.649007
| 0
| 0
| 0
| 0
| 0
| 0.160714
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
598c6a43a5d973d7c95263e57e2623afa56f965e
| 87
|
py
|
Python
|
src/utils/__init__.py
|
TUM-LMF/MTLCC-pytorch
|
894a470be2fb4b9e2e0b9e20e8684131ffdb5577
|
[
"MIT"
] | 39
|
2018-08-27T11:33:28.000Z
|
2021-12-13T11:17:31.000Z
|
src/utils/__init__.py
|
TUM-LMF/MTLCC-pytorch
|
894a470be2fb4b9e2e0b9e20e8684131ffdb5577
|
[
"MIT"
] | 2
|
2019-02-16T11:40:54.000Z
|
2020-04-23T08:01:53.000Z
|
src/utils/__init__.py
|
TUM-LMF/MTLCC-pytorch
|
894a470be2fb4b9e2e0b9e20e8684131ffdb5577
|
[
"MIT"
] | 16
|
2018-08-29T02:03:31.000Z
|
2022-03-12T09:41:06.000Z
|
from utils.progressbar import *
from utils.logger import *
from utils.snapshot import *
| 29
| 31
| 0.804598
| 12
| 87
| 5.833333
| 0.5
| 0.385714
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126437
| 87
| 3
| 32
| 29
| 0.921053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
59e2ff0f9f28ea244b488217ef84151a7f8f2621
| 4,808
|
py
|
Python
|
tests/test_flow.py
|
omaraboumrad/slack-invite-flow
|
2cf63d95cac355ae0e7c3e57c7f927975ed3639c
|
[
"Apache-2.0"
] | 3
|
2016-11-07T16:16:54.000Z
|
2017-05-25T21:38:49.000Z
|
tests/test_flow.py
|
omaraboumrad/slack-invite-flow
|
2cf63d95cac355ae0e7c3e57c7f927975ed3639c
|
[
"Apache-2.0"
] | null | null | null |
tests/test_flow.py
|
omaraboumrad/slack-invite-flow
|
2cf63d95cac355ae0e7c3e57c7f927975ed3639c
|
[
"Apache-2.0"
] | 3
|
2016-11-07T16:55:26.000Z
|
2021-11-09T09:35:40.000Z
|
import pytest
from slack_invite_flow import flow
def test_activity_must_abide_by_interface():
"""Tests whether a child activity can omit the required functions"""
class FooActivity(flow.Activity):
pass
with pytest.raises(TypeError):
FooActivity()
def test_single_activity_flow():
"""Tests that a single activity runs successfully within a flow"""
class FooActivity(flow.Activity):
def execute(self, **payload):
pass
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=True, repeat=0)),
])
actions = [action for _, action, _ in workflow.play()]
assert [
'starting',
'playing foo',
'flow complete',
] == actions
def test_single_activity_fail_with_no_repeat_flow():
"""Tests that a single failed activity will not be repeated on failure"""
class FooActivity(flow.Activity):
def execute(self, **payload):
raise Exception('fail!')
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=True, repeat=0)),
])
actions = [action for _, action, _ in workflow.play()]
assert [
'starting',
'playing foo',
'error foo',
'flow complete',
] == actions
def test_single_activity_fail_with_repeat_flow():
"""Tests that a single activity will be repeated on failure"""
class FooActivity(flow.Activity):
def execute(self, **payload):
raise Exception('fail!')
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=True, repeat=2)),
])
actions = [action for _, action, _ in workflow.play()]
assert [
'starting',
'playing foo',
'error foo',
'playing foo with repeat',
'error foo',
'playing foo with repeat',
'error foo',
'flow complete',
] == actions
def test_multiple_activities_flow():
"""Tests that multiple activities can complete successfully"""
class FooActivity(flow.Activity):
def execute(self, **payload):
pass
class BarActivity(flow.Activity):
def execute(self, **payload):
pass
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=True, repeat=0)),
('bar', flow.ActivityConfig(kind=BarActivity, extend=True, repeat=0))
])
actions = [action for _, action, _ in workflow.play()]
assert [
'starting',
'playing foo',
'playing bar',
'flow complete',
] == actions
def test_multiple_activities_skip_flow():
"""Tests that skipping activities is possible"""
class FooActivity(flow.Activity):
def execute(self, **payload):
pass
class BarActivity(flow.Activity):
def execute(self, **payload):
pass
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=True, repeat=0)),
('bar', flow.ActivityConfig(kind=BarActivity, extend=True, repeat=0))
])
actions = [action for _, action, _ in workflow.play(initial='bar')]
assert [
'starting',
'skipping foo',
'playing bar',
'flow complete',
] == actions
def test_multiple_activities_no_fallthrough_flow():
"""Tests that activities will not fallthrough on failure if not explicitly
set within the configuration"""
class FooActivity(flow.Activity):
def execute(self, **payload):
raise Exception('fail!')
class BarActivity(flow.Activity):
def execute(self, **payload):
pass
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=False, repeat=0)),
('bar', flow.ActivityConfig(kind=BarActivity, extend=True, repeat=0))
])
actions = [action for _, action, _ in workflow.play()]
assert [
'starting',
'playing foo',
'error foo',
'flow complete',
] == actions
def test_multiple_activities_with_fallthrough_flow():
"""Tests that activities can fallthrough on failure if explicitly set"""
class FooActivity(flow.Activity):
def execute(self, **payload):
raise Exception('fail!')
class BarActivity(flow.Activity):
def execute(self, **payload):
pass
workflow = flow.ActivityFlow([
('foo', flow.ActivityConfig(kind=FooActivity, extend=True, repeat=0)),
('bar', flow.ActivityConfig(kind=BarActivity, extend=True, repeat=0))
])
actions = [action for _, action, _ in workflow.play()]
assert [
'starting',
'playing foo',
'error foo',
'playing bar',
'flow complete',
] == actions
| 27.011236
| 79
| 0.615849
| 505
| 4,808
| 5.756436
| 0.162376
| 0.049536
| 0.05676
| 0.083247
| 0.821121
| 0.79773
| 0.75989
| 0.75989
| 0.745786
| 0.716202
| 0
| 0.0031
| 0.262063
| 4,808
| 177
| 80
| 27.163842
| 0.816235
| 0.107321
| 0
| 0.872
| 0
| 0
| 0.097481
| 0
| 0
| 0
| 0
| 0
| 0.056
| 1
| 0.152
| false
| 0.064
| 0.016
| 0
| 0.264
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
ab903c20217a318a51eed87f244b2da8d131decc
| 92
|
py
|
Python
|
src/admin_tools/dashboard/__init__.py
|
daniel-werner/stelagifts
|
809cb70f98a1ead3acbc2fd6aea99a87fdfd9435
|
[
"MIT"
] | 711
|
2015-06-21T10:08:06.000Z
|
2022-03-25T08:46:37.000Z
|
src/admin_tools/dashboard/__init__.py
|
daniel-werner/stelagifts
|
809cb70f98a1ead3acbc2fd6aea99a87fdfd9435
|
[
"MIT"
] | 102
|
2015-06-22T12:38:21.000Z
|
2022-03-29T14:00:54.000Z
|
src/admin_tools/dashboard/__init__.py
|
daniel-werner/stelagifts
|
809cb70f98a1ead3acbc2fd6aea99a87fdfd9435
|
[
"MIT"
] | 149
|
2015-06-21T10:16:49.000Z
|
2022-03-28T13:11:47.000Z
|
from admin_tools.dashboard.dashboards import *
from admin_tools.dashboard.registry import *
| 30.666667
| 46
| 0.847826
| 12
| 92
| 6.333333
| 0.583333
| 0.236842
| 0.368421
| 0.605263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 92
| 2
| 47
| 46
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
aba1d2958937eee6b55b451e9bfaa8bb183d6e52
| 28,556
|
py
|
Python
|
sdk/python/pulumi_azure/sentinel/_inputs.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 109
|
2018-06-18T00:19:44.000Z
|
2022-02-20T05:32:57.000Z
|
sdk/python/pulumi_azure/sentinel/_inputs.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 663
|
2018-06-18T21:08:46.000Z
|
2022-03-31T20:10:11.000Z
|
sdk/python/pulumi_azure/sentinel/_inputs.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"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__ = [
'AlertRuleScheduledEventGroupingArgs',
'AlertRuleScheduledIncidentConfigurationArgs',
'AlertRuleScheduledIncidentConfigurationGroupingArgs',
'AuthomationRuleActionIncidentArgs',
'AuthomationRuleActionPlaybookArgs',
'AuthomationRuleConditionArgs',
'AutomationRuleActionIncidentArgs',
'AutomationRuleActionPlaybookArgs',
'AutomationRuleConditionArgs',
]
@pulumi.input_type
class AlertRuleScheduledEventGroupingArgs:
def __init__(__self__, *,
aggregation_method: pulumi.Input[str]):
"""
:param pulumi.Input[str] aggregation_method: The aggregation type of grouping the events.
"""
pulumi.set(__self__, "aggregation_method", aggregation_method)
@property
@pulumi.getter(name="aggregationMethod")
def aggregation_method(self) -> pulumi.Input[str]:
"""
The aggregation type of grouping the events.
"""
return pulumi.get(self, "aggregation_method")
@aggregation_method.setter
def aggregation_method(self, value: pulumi.Input[str]):
pulumi.set(self, "aggregation_method", value)
@pulumi.input_type
class AlertRuleScheduledIncidentConfigurationArgs:
def __init__(__self__, *,
create_incident: pulumi.Input[bool],
grouping: pulumi.Input['AlertRuleScheduledIncidentConfigurationGroupingArgs']):
"""
:param pulumi.Input[bool] create_incident: Whether to create an incident from alerts triggered by this Sentinel Scheduled Alert Rule?
:param pulumi.Input['AlertRuleScheduledIncidentConfigurationGroupingArgs'] grouping: A `grouping` block as defined below.
"""
pulumi.set(__self__, "create_incident", create_incident)
pulumi.set(__self__, "grouping", grouping)
@property
@pulumi.getter(name="createIncident")
def create_incident(self) -> pulumi.Input[bool]:
"""
Whether to create an incident from alerts triggered by this Sentinel Scheduled Alert Rule?
"""
return pulumi.get(self, "create_incident")
@create_incident.setter
def create_incident(self, value: pulumi.Input[bool]):
pulumi.set(self, "create_incident", value)
@property
@pulumi.getter
def grouping(self) -> pulumi.Input['AlertRuleScheduledIncidentConfigurationGroupingArgs']:
"""
A `grouping` block as defined below.
"""
return pulumi.get(self, "grouping")
@grouping.setter
def grouping(self, value: pulumi.Input['AlertRuleScheduledIncidentConfigurationGroupingArgs']):
pulumi.set(self, "grouping", value)
@pulumi.input_type
class AlertRuleScheduledIncidentConfigurationGroupingArgs:
def __init__(__self__, *,
enabled: Optional[pulumi.Input[bool]] = None,
entity_matching_method: Optional[pulumi.Input[str]] = None,
group_bies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
lookback_duration: Optional[pulumi.Input[str]] = None,
reopen_closed_incidents: Optional[pulumi.Input[bool]] = None):
"""
:param pulumi.Input[bool] enabled: Enable grouping incidents created from alerts triggered by this Sentinel Scheduled Alert Rule. Defaults to `true`.
:param pulumi.Input[str] entity_matching_method: The method used to group incidents. Possible values are `All`, `Custom` and `None`. Defaults to `None`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] group_bies: A list of entity types to group by, only when the `entity_matching_method` is `Custom`. Possible values are `Account`, `Host`, `Url`, `Ip`.
:param pulumi.Input[str] lookback_duration: Limit the group to alerts created within the lookback duration (in ISO 8601 duration format). Defaults to `PT5M`.
:param pulumi.Input[bool] reopen_closed_incidents: Whether to re-open closed matching incidents? Defaults to `false`.
"""
if enabled is not None:
pulumi.set(__self__, "enabled", enabled)
if entity_matching_method is not None:
pulumi.set(__self__, "entity_matching_method", entity_matching_method)
if group_bies is not None:
pulumi.set(__self__, "group_bies", group_bies)
if lookback_duration is not None:
pulumi.set(__self__, "lookback_duration", lookback_duration)
if reopen_closed_incidents is not None:
pulumi.set(__self__, "reopen_closed_incidents", reopen_closed_incidents)
@property
@pulumi.getter
def enabled(self) -> Optional[pulumi.Input[bool]]:
"""
Enable grouping incidents created from alerts triggered by this Sentinel Scheduled Alert Rule. Defaults to `true`.
"""
return pulumi.get(self, "enabled")
@enabled.setter
def enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enabled", value)
@property
@pulumi.getter(name="entityMatchingMethod")
def entity_matching_method(self) -> Optional[pulumi.Input[str]]:
"""
The method used to group incidents. Possible values are `All`, `Custom` and `None`. Defaults to `None`.
"""
return pulumi.get(self, "entity_matching_method")
@entity_matching_method.setter
def entity_matching_method(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "entity_matching_method", value)
@property
@pulumi.getter(name="groupBies")
def group_bies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of entity types to group by, only when the `entity_matching_method` is `Custom`. Possible values are `Account`, `Host`, `Url`, `Ip`.
"""
return pulumi.get(self, "group_bies")
@group_bies.setter
def group_bies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "group_bies", value)
@property
@pulumi.getter(name="lookbackDuration")
def lookback_duration(self) -> Optional[pulumi.Input[str]]:
"""
Limit the group to alerts created within the lookback duration (in ISO 8601 duration format). Defaults to `PT5M`.
"""
return pulumi.get(self, "lookback_duration")
@lookback_duration.setter
def lookback_duration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "lookback_duration", value)
@property
@pulumi.getter(name="reopenClosedIncidents")
def reopen_closed_incidents(self) -> Optional[pulumi.Input[bool]]:
"""
Whether to re-open closed matching incidents? Defaults to `false`.
"""
return pulumi.get(self, "reopen_closed_incidents")
@reopen_closed_incidents.setter
def reopen_closed_incidents(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "reopen_closed_incidents", value)
@pulumi.input_type
class AuthomationRuleActionIncidentArgs:
def __init__(__self__, *,
order: pulumi.Input[int],
classification: Optional[pulumi.Input[str]] = None,
classification_comment: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
owner_id: Optional[pulumi.Input[str]] = None,
severity: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[int] order: The execution order of this action.
:param pulumi.Input[str] classification: The classification of the incident, when closing it. Possible values are: `BenignPositive_SuspiciousButExpected`, `FalsePositive_InaccurateData`, `FalsePositive_IncorrectAlertLogic`, `TruePositive_SuspiciousActivity` and `Undetermined`.
:param pulumi.Input[str] classification_comment: The comment why the incident is to be closed.
:param pulumi.Input[Sequence[pulumi.Input[str]]] labels: Specifies a list of labels to add to the incident.
:param pulumi.Input[str] owner_id: The object ID of the entity this incident is assigned to.
:param pulumi.Input[str] severity: The severity to add to the incident.
:param pulumi.Input[str] status: The status to set to the incident. Possible values are: `Active`, `Closed`, `New`.
"""
pulumi.set(__self__, "order", order)
if classification is not None:
pulumi.set(__self__, "classification", classification)
if classification_comment is not None:
pulumi.set(__self__, "classification_comment", classification_comment)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if owner_id is not None:
pulumi.set(__self__, "owner_id", owner_id)
if severity is not None:
pulumi.set(__self__, "severity", severity)
if status is not None:
pulumi.set(__self__, "status", status)
@property
@pulumi.getter
def order(self) -> pulumi.Input[int]:
"""
The execution order of this action.
"""
return pulumi.get(self, "order")
@order.setter
def order(self, value: pulumi.Input[int]):
pulumi.set(self, "order", value)
@property
@pulumi.getter
def classification(self) -> Optional[pulumi.Input[str]]:
"""
The classification of the incident, when closing it. Possible values are: `BenignPositive_SuspiciousButExpected`, `FalsePositive_InaccurateData`, `FalsePositive_IncorrectAlertLogic`, `TruePositive_SuspiciousActivity` and `Undetermined`.
"""
return pulumi.get(self, "classification")
@classification.setter
def classification(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "classification", value)
@property
@pulumi.getter(name="classificationComment")
def classification_comment(self) -> Optional[pulumi.Input[str]]:
"""
The comment why the incident is to be closed.
"""
return pulumi.get(self, "classification_comment")
@classification_comment.setter
def classification_comment(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "classification_comment", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Specifies a list of labels to add to the incident.
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter(name="ownerId")
def owner_id(self) -> Optional[pulumi.Input[str]]:
"""
The object ID of the entity this incident is assigned to.
"""
return pulumi.get(self, "owner_id")
@owner_id.setter
def owner_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "owner_id", value)
@property
@pulumi.getter
def severity(self) -> Optional[pulumi.Input[str]]:
"""
The severity to add to the incident.
"""
return pulumi.get(self, "severity")
@severity.setter
def severity(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "severity", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
The status to set to the incident. Possible values are: `Active`, `Closed`, `New`.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
@pulumi.input_type
class AuthomationRuleActionPlaybookArgs:
def __init__(__self__, *,
logic_app_id: pulumi.Input[str],
order: pulumi.Input[int],
tenant_id: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] logic_app_id: The ID of the Logic App that defines the playbook's logic.
:param pulumi.Input[int] order: The execution order of this action.
:param pulumi.Input[str] tenant_id: The ID of the Tenant that owns the playbook.
"""
pulumi.set(__self__, "logic_app_id", logic_app_id)
pulumi.set(__self__, "order", order)
if tenant_id is not None:
pulumi.set(__self__, "tenant_id", tenant_id)
@property
@pulumi.getter(name="logicAppId")
def logic_app_id(self) -> pulumi.Input[str]:
"""
The ID of the Logic App that defines the playbook's logic.
"""
return pulumi.get(self, "logic_app_id")
@logic_app_id.setter
def logic_app_id(self, value: pulumi.Input[str]):
pulumi.set(self, "logic_app_id", value)
@property
@pulumi.getter
def order(self) -> pulumi.Input[int]:
"""
The execution order of this action.
"""
return pulumi.get(self, "order")
@order.setter
def order(self, value: pulumi.Input[int]):
pulumi.set(self, "order", value)
@property
@pulumi.getter(name="tenantId")
def tenant_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Tenant that owns the playbook.
"""
return pulumi.get(self, "tenant_id")
@tenant_id.setter
def tenant_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tenant_id", value)
@pulumi.input_type
class AuthomationRuleConditionArgs:
def __init__(__self__, *,
operator: pulumi.Input[str],
property: pulumi.Input[str],
values: pulumi.Input[Sequence[pulumi.Input[str]]]):
"""
:param pulumi.Input[str] operator: The operator to use for evaluate the condition. Possible values include: `Equals`, `NotEquals`, `Contains`, `NotContains`, `StartsWith`, `NotStartsWith`, `EndsWith`, `NotEndsWith`.
:param pulumi.Input[str] property: The property to use for evaluate the condition. Possible values include: `AccountAadTenantId`, `AccountAadUserId`, `AccountNTDomain`, `AccountName`, `AccountObjectGuid`, `AccountPUID`, `AccountSid`, `AccountUPNSuffix`, `AzureResourceResourceId`, `AzureResourceSubscriptionId`, `CloudApplicationAppId`, `CloudApplicationAppName`, `DNSDomainName`, `FileDirectory`, `FileHashValue`, `FileName`, `HostAzureID`, `HostNTDomain`, `HostName`, `HostNetBiosName`, `HostOSVersion`, `IPAddress`, `IncidentDescription`, `IncidentProviderName`, `IncidentRelatedAnalyticRuleIds`, `IncidentSeverity`, `IncidentStatus`, `IncidentTactics`, `IncidentTitle`, `IoTDeviceId`, `IoTDeviceModel`, `IoTDeviceName`, `IoTDeviceOperatingSystem`, `IoTDeviceType`, `IoTDeviceVendor`, `MailMessageDeliveryAction`, `MailMessageDeliveryLocation`, `MailMessageP1Sender`, `MailMessageP2Sender`, `MailMessageRecipient`, `MailMessageSenderIP`, `MailMessageSubject`, `MailboxDisplayName`, `MailboxPrimaryAddress`, `MailboxUPN`, `MalwareCategory`, `MalwareName`, `ProcessCommandLine`, `ProcessId`, `RegistryKey`, `RegistryValueData`, `Url`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] values: Specifies a list of values to use for evaluate the condition.
"""
pulumi.set(__self__, "operator", operator)
pulumi.set(__self__, "property", property)
pulumi.set(__self__, "values", values)
@property
@pulumi.getter
def operator(self) -> pulumi.Input[str]:
"""
The operator to use for evaluate the condition. Possible values include: `Equals`, `NotEquals`, `Contains`, `NotContains`, `StartsWith`, `NotStartsWith`, `EndsWith`, `NotEndsWith`.
"""
return pulumi.get(self, "operator")
@operator.setter
def operator(self, value: pulumi.Input[str]):
pulumi.set(self, "operator", value)
@property
@pulumi.getter
def values(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
Specifies a list of values to use for evaluate the condition.
"""
return pulumi.get(self, "values")
@values.setter
def values(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "values", value)
@property
@pulumi.getter
def property(self) -> pulumi.Input[str]:
"""
The property to use for evaluate the condition. Possible values include: `AccountAadTenantId`, `AccountAadUserId`, `AccountNTDomain`, `AccountName`, `AccountObjectGuid`, `AccountPUID`, `AccountSid`, `AccountUPNSuffix`, `AzureResourceResourceId`, `AzureResourceSubscriptionId`, `CloudApplicationAppId`, `CloudApplicationAppName`, `DNSDomainName`, `FileDirectory`, `FileHashValue`, `FileName`, `HostAzureID`, `HostNTDomain`, `HostName`, `HostNetBiosName`, `HostOSVersion`, `IPAddress`, `IncidentDescription`, `IncidentProviderName`, `IncidentRelatedAnalyticRuleIds`, `IncidentSeverity`, `IncidentStatus`, `IncidentTactics`, `IncidentTitle`, `IoTDeviceId`, `IoTDeviceModel`, `IoTDeviceName`, `IoTDeviceOperatingSystem`, `IoTDeviceType`, `IoTDeviceVendor`, `MailMessageDeliveryAction`, `MailMessageDeliveryLocation`, `MailMessageP1Sender`, `MailMessageP2Sender`, `MailMessageRecipient`, `MailMessageSenderIP`, `MailMessageSubject`, `MailboxDisplayName`, `MailboxPrimaryAddress`, `MailboxUPN`, `MalwareCategory`, `MalwareName`, `ProcessCommandLine`, `ProcessId`, `RegistryKey`, `RegistryValueData`, `Url`.
"""
return pulumi.get(self, "property")
@property.setter
def property(self, value: pulumi.Input[str]):
pulumi.set(self, "property", value)
@pulumi.input_type
class AutomationRuleActionIncidentArgs:
def __init__(__self__, *,
order: pulumi.Input[int],
classification: Optional[pulumi.Input[str]] = None,
classification_comment: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
owner_id: Optional[pulumi.Input[str]] = None,
severity: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[int] order: The execution order of this action.
:param pulumi.Input[str] classification: The classification of the incident, when closing it. Possible values are: `BenignPositive_SuspiciousButExpected`, `FalsePositive_InaccurateData`, `FalsePositive_IncorrectAlertLogic`, `TruePositive_SuspiciousActivity` and `Undetermined`.
:param pulumi.Input[str] classification_comment: The comment why the incident is to be closed.
:param pulumi.Input[Sequence[pulumi.Input[str]]] labels: Specifies a list of labels to add to the incident.
:param pulumi.Input[str] owner_id: The object ID of the entity this incident is assigned to.
:param pulumi.Input[str] severity: The severity to add to the incident.
:param pulumi.Input[str] status: The status to set to the incident. Possible values are: `Active`, `Closed`, `New`.
"""
pulumi.set(__self__, "order", order)
if classification is not None:
pulumi.set(__self__, "classification", classification)
if classification_comment is not None:
pulumi.set(__self__, "classification_comment", classification_comment)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if owner_id is not None:
pulumi.set(__self__, "owner_id", owner_id)
if severity is not None:
pulumi.set(__self__, "severity", severity)
if status is not None:
pulumi.set(__self__, "status", status)
@property
@pulumi.getter
def order(self) -> pulumi.Input[int]:
"""
The execution order of this action.
"""
return pulumi.get(self, "order")
@order.setter
def order(self, value: pulumi.Input[int]):
pulumi.set(self, "order", value)
@property
@pulumi.getter
def classification(self) -> Optional[pulumi.Input[str]]:
"""
The classification of the incident, when closing it. Possible values are: `BenignPositive_SuspiciousButExpected`, `FalsePositive_InaccurateData`, `FalsePositive_IncorrectAlertLogic`, `TruePositive_SuspiciousActivity` and `Undetermined`.
"""
return pulumi.get(self, "classification")
@classification.setter
def classification(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "classification", value)
@property
@pulumi.getter(name="classificationComment")
def classification_comment(self) -> Optional[pulumi.Input[str]]:
"""
The comment why the incident is to be closed.
"""
return pulumi.get(self, "classification_comment")
@classification_comment.setter
def classification_comment(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "classification_comment", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Specifies a list of labels to add to the incident.
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter(name="ownerId")
def owner_id(self) -> Optional[pulumi.Input[str]]:
"""
The object ID of the entity this incident is assigned to.
"""
return pulumi.get(self, "owner_id")
@owner_id.setter
def owner_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "owner_id", value)
@property
@pulumi.getter
def severity(self) -> Optional[pulumi.Input[str]]:
"""
The severity to add to the incident.
"""
return pulumi.get(self, "severity")
@severity.setter
def severity(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "severity", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
The status to set to the incident. Possible values are: `Active`, `Closed`, `New`.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
@pulumi.input_type
class AutomationRuleActionPlaybookArgs:
def __init__(__self__, *,
logic_app_id: pulumi.Input[str],
order: pulumi.Input[int],
tenant_id: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] logic_app_id: The ID of the Logic App that defines the playbook's logic.
:param pulumi.Input[int] order: The execution order of this action.
:param pulumi.Input[str] tenant_id: The ID of the Tenant that owns the playbook.
"""
pulumi.set(__self__, "logic_app_id", logic_app_id)
pulumi.set(__self__, "order", order)
if tenant_id is not None:
pulumi.set(__self__, "tenant_id", tenant_id)
@property
@pulumi.getter(name="logicAppId")
def logic_app_id(self) -> pulumi.Input[str]:
"""
The ID of the Logic App that defines the playbook's logic.
"""
return pulumi.get(self, "logic_app_id")
@logic_app_id.setter
def logic_app_id(self, value: pulumi.Input[str]):
pulumi.set(self, "logic_app_id", value)
@property
@pulumi.getter
def order(self) -> pulumi.Input[int]:
"""
The execution order of this action.
"""
return pulumi.get(self, "order")
@order.setter
def order(self, value: pulumi.Input[int]):
pulumi.set(self, "order", value)
@property
@pulumi.getter(name="tenantId")
def tenant_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Tenant that owns the playbook.
"""
return pulumi.get(self, "tenant_id")
@tenant_id.setter
def tenant_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tenant_id", value)
@pulumi.input_type
class AutomationRuleConditionArgs:
def __init__(__self__, *,
operator: pulumi.Input[str],
property: pulumi.Input[str],
values: pulumi.Input[Sequence[pulumi.Input[str]]]):
"""
:param pulumi.Input[str] operator: The operator to use for evaluate the condition. Possible values include: `Equals`, `NotEquals`, `Contains`, `NotContains`, `StartsWith`, `NotStartsWith`, `EndsWith`, `NotEndsWith`.
:param pulumi.Input[str] property: The property to use for evaluate the condition. Possible values include: `AccountAadTenantId`, `AccountAadUserId`, `AccountNTDomain`, `AccountName`, `AccountObjectGuid`, `AccountPUID`, `AccountSid`, `AccountUPNSuffix`, `AzureResourceResourceId`, `AzureResourceSubscriptionId`, `CloudApplicationAppId`, `CloudApplicationAppName`, `DNSDomainName`, `FileDirectory`, `FileHashValue`, `FileName`, `HostAzureID`, `HostNTDomain`, `HostName`, `HostNetBiosName`, `HostOSVersion`, `IPAddress`, `IncidentDescription`, `IncidentProviderName`, `IncidentRelatedAnalyticRuleIds`, `IncidentSeverity`, `IncidentStatus`, `IncidentTactics`, `IncidentTitle`, `IoTDeviceId`, `IoTDeviceModel`, `IoTDeviceName`, `IoTDeviceOperatingSystem`, `IoTDeviceType`, `IoTDeviceVendor`, `MailMessageDeliveryAction`, `MailMessageDeliveryLocation`, `MailMessageP1Sender`, `MailMessageP2Sender`, `MailMessageRecipient`, `MailMessageSenderIP`, `MailMessageSubject`, `MailboxDisplayName`, `MailboxPrimaryAddress`, `MailboxUPN`, `MalwareCategory`, `MalwareName`, `ProcessCommandLine`, `ProcessId`, `RegistryKey`, `RegistryValueData`, `Url`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] values: Specifies a list of values to use for evaluate the condition.
"""
pulumi.set(__self__, "operator", operator)
pulumi.set(__self__, "property", property)
pulumi.set(__self__, "values", values)
@property
@pulumi.getter
def operator(self) -> pulumi.Input[str]:
"""
The operator to use for evaluate the condition. Possible values include: `Equals`, `NotEquals`, `Contains`, `NotContains`, `StartsWith`, `NotStartsWith`, `EndsWith`, `NotEndsWith`.
"""
return pulumi.get(self, "operator")
@operator.setter
def operator(self, value: pulumi.Input[str]):
pulumi.set(self, "operator", value)
@property
@pulumi.getter
def values(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
Specifies a list of values to use for evaluate the condition.
"""
return pulumi.get(self, "values")
@values.setter
def values(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "values", value)
@property
@pulumi.getter
def property(self) -> pulumi.Input[str]:
"""
The property to use for evaluate the condition. Possible values include: `AccountAadTenantId`, `AccountAadUserId`, `AccountNTDomain`, `AccountName`, `AccountObjectGuid`, `AccountPUID`, `AccountSid`, `AccountUPNSuffix`, `AzureResourceResourceId`, `AzureResourceSubscriptionId`, `CloudApplicationAppId`, `CloudApplicationAppName`, `DNSDomainName`, `FileDirectory`, `FileHashValue`, `FileName`, `HostAzureID`, `HostNTDomain`, `HostName`, `HostNetBiosName`, `HostOSVersion`, `IPAddress`, `IncidentDescription`, `IncidentProviderName`, `IncidentRelatedAnalyticRuleIds`, `IncidentSeverity`, `IncidentStatus`, `IncidentTactics`, `IncidentTitle`, `IoTDeviceId`, `IoTDeviceModel`, `IoTDeviceName`, `IoTDeviceOperatingSystem`, `IoTDeviceType`, `IoTDeviceVendor`, `MailMessageDeliveryAction`, `MailMessageDeliveryLocation`, `MailMessageP1Sender`, `MailMessageP2Sender`, `MailMessageRecipient`, `MailMessageSenderIP`, `MailMessageSubject`, `MailboxDisplayName`, `MailboxPrimaryAddress`, `MailboxUPN`, `MalwareCategory`, `MalwareName`, `ProcessCommandLine`, `ProcessId`, `RegistryKey`, `RegistryValueData`, `Url`.
"""
return pulumi.get(self, "property")
@property.setter
def property(self, value: pulumi.Input[str]):
pulumi.set(self, "property", value)
| 46.43252
| 1,143
| 0.674009
| 3,000
| 28,556
| 6.277
| 0.079333
| 0.096384
| 0.077319
| 0.049068
| 0.880729
| 0.834316
| 0.82088
| 0.803622
| 0.796931
| 0.787478
| 0
| 0.000837
| 0.205421
| 28,556
| 614
| 1,144
| 46.508143
| 0.829088
| 0.391406
| 0
| 0.75
| 1
| 0
| 0.106148
| 0.049243
| 0
| 0
| 0
| 0
| 0
| 1
| 0.209239
| false
| 0
| 0.013587
| 0
| 0.339674
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
05043ef8e0c43ce6c117b5a8c1b8102182a2851b
| 223
|
py
|
Python
|
tests/common.py
|
Ces1k/py-crypto-tracker
|
16fd1eea08c345ff34accccc24ea6985001feea1
|
[
"MIT"
] | null | null | null |
tests/common.py
|
Ces1k/py-crypto-tracker
|
16fd1eea08c345ff34accccc24ea6985001feea1
|
[
"MIT"
] | null | null | null |
tests/common.py
|
Ces1k/py-crypto-tracker
|
16fd1eea08c345ff34accccc24ea6985001feea1
|
[
"MIT"
] | null | null | null |
from pathlib import Path
from src.lib.utils import get_root_dir
def get_tests_root_dir():
return get_root_dir().joinpath("tests")
def get_test_data_root_dir():
return get_tests_root_dir().joinpath("test_data")
| 18.583333
| 53
| 0.7713
| 37
| 223
| 4.243243
| 0.432432
| 0.22293
| 0.127389
| 0.191083
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130045
| 223
| 11
| 54
| 20.272727
| 0.809278
| 0
| 0
| 0
| 0
| 0
| 0.06278
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 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
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
055d13569c6c2e0c0cbb690c482c076422ac651c
| 505
|
py
|
Python
|
eval_medseg_timm-regnetx_002_Sharpen.py
|
BrunoKrinski/segtool
|
cb604b5f38104c43a76450136e37c3d1c4b6d275
|
[
"MIT"
] | null | null | null |
eval_medseg_timm-regnetx_002_Sharpen.py
|
BrunoKrinski/segtool
|
cb604b5f38104c43a76450136e37c3d1c4b6d275
|
[
"MIT"
] | null | null | null |
eval_medseg_timm-regnetx_002_Sharpen.py
|
BrunoKrinski/segtool
|
cb604b5f38104c43a76450136e37c3d1c4b6d275
|
[
"MIT"
] | null | null | null |
import os
ls=["python main.py --configs configs/eval_medseg_unetplusplus_timm-regnetx_002_0_Sharpen.yml",
"python main.py --configs configs/eval_medseg_unetplusplus_timm-regnetx_002_1_Sharpen.yml",
"python main.py --configs configs/eval_medseg_unetplusplus_timm-regnetx_002_2_Sharpen.yml",
"python main.py --configs configs/eval_medseg_unetplusplus_timm-regnetx_002_3_Sharpen.yml",
"python main.py --configs configs/eval_medseg_unetplusplus_timm-regnetx_002_4_Sharpen.yml",
]
for l in ls:
os.system(l)
| 45.909091
| 95
| 0.835644
| 80
| 505
| 4.9
| 0.3
| 0.127551
| 0.153061
| 0.242347
| 0.892857
| 0.892857
| 0.892857
| 0.892857
| 0.892857
| 0.892857
| 0
| 0.042194
| 0.061386
| 505
| 11
| 96
| 45.909091
| 0.78481
| 0
| 0
| 0
| 0
| 0
| 0.869565
| 0.62253
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
0561df731d876e03e38b00080f51064ab72ec07a
| 11,341
|
py
|
Python
|
tests/unit/test_database.py
|
erikdeirdre/people
|
eb96d54ee9d3e3ed2527eb230850ebf8c50040de
|
[
"MIT"
] | null | null | null |
tests/unit/test_database.py
|
erikdeirdre/people
|
eb96d54ee9d3e3ed2527eb230850ebf8c50040de
|
[
"MIT"
] | 3
|
2021-03-25T14:00:21.000Z
|
2022-03-20T21:04:15.000Z
|
tests/unit/test_database.py
|
erikdeirdre/people
|
eb96d54ee9d3e3ed2527eb230850ebf8c50040de
|
[
"MIT"
] | null | null | null |
""" Database Unit Test Module """
from datetime import date
import unittest
import pytest
from app import DB
from app.database import (Team, Sport, Referee, Coach, Player, RefereeSport,
PlayerSport, CoachSport, CoachTeam, PlayerTeam,
Level, LevelType, Gender)
@pytest.mark.usefixtures("init_database")
class TestSportTable(unittest.TestCase):
"""Test Sport Table"""
def test_sport_all(self):
"""Test Query gets correct number of rows"""
self.assertEqual(1, 1)
result = DB.session.query(Sport).all()
self.assertEqual(len(result), 9, "Not equal to NINE sports rows")
def test_sport_active_true(self):
"""Test to check active, true"""
result = DB.session.query(Sport).filter_by(description="Soccer").first()
self.assertEqual(result.active, True)
def test_sport_active_false(self):
"""Test to check active, false"""
result = DB.session.query(Sport).filter_by(description="Baseball").first()
self.assertEqual(result.active, True)
@pytest.mark.usefixtures("init_database")
class TestTeamTable(unittest.TestCase):
"""Test Team Table"""
def test_team_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(Team).all()
self.assertEqual(len(result), 4, "Not equal to FOUR team rows")
def test_team_active_true(self):
"""Test to check active, true"""
result = DB.session.query(Team).filter_by(description="Celtics").first()
self.assertEqual(result.active, True)
def test_team_active_false(self):
"""Test to check active, false"""
result = DB.session.query(Team).filter_by(description="Patriots").first()
self.assertEqual(result.active, True)
@pytest.mark.usefixtures("init_database")
class TestLevelTable(unittest.TestCase):
"""Test Level Table"""
def test_level_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(Level).all()
self.assertEqual(len(result), 4, "Not equal to FOUR level rows")
def test_level_active_true(self):
"""Test to check active, true"""
result = DB.session.query(Level).filter_by(
description="Grassroots Referee").first()
self.assertEqual(result.active, True)
self.assertEqual(result.level_type, LevelType.REFEREE)
def test_level_active_false(self):
"""Test to check active, false"""
result = DB.session.query(Level).filter_by(
description="Professional").first()
self.assertEqual(result.active, False)
self.assertEqual(result.level_type, LevelType.REFEREE)
@pytest.mark.usefixtures("init_database")
class TestRefereeTable(unittest.TestCase):
"""Test Referee Table"""
def test_referee_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(Referee).all()
self.assertEqual(len(result), 2, "Not equal to TWO Referee rows")
def test_referee(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(Referee).get(3)
self.assertEqual(result.active, True)
self.assertEqual(result.first_name, "Bart")
self.assertEqual(result.last_name, "Simpson")
self.assertEqual(result.address1, "123 Evergreen Terrace")
self.assertEqual(result.city, "Springfield")
self.assertEqual(result.state, "MA")
self.assertEqual(result.zip_code, "12345")
self.assertEqual(result.email, "bsimpson@simpsons.com")
self.assertEqual(result.gender, Gender.MALE)
result = DB.session.query(Referee).get(4)
self.assertEqual(result.active, False)
self.assertEqual(result.first_name, "Lisa")
self.assertEqual(result.last_name, "Simpson")
self.assertEqual(result.address1, "123 Evergreen Terrace")
self.assertEqual(result.city, "Springfield")
self.assertEqual(result.state, "MA")
self.assertEqual(result.zip_code, "12345")
self.assertEqual(result.email, "lsimpson@simpsons.com")
self.assertEqual(result.gender, Gender.FEMALE)
@pytest.mark.usefixtures("init_database")
class TestRefereeSportTable(unittest.TestCase):
"""Test Referee Sport Table"""
def test_referee_sport_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(RefereeSport).all()
self.assertEqual(len(result), 2, "Not equal to TWO Referee Sport rows")
def test_referee_sport(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(RefereeSport).get((3, 1))
self.assertEqual(result.active, True)
self.assertEqual(result.sport_id, 1)
self.assertEqual(result.referee_id, 3)
self.assertEqual(result.level_date, date(2018, 3, 1))
result = DB.session.query(RefereeSport).get((4, 2))
self.assertEqual(result.active, False)
self.assertEqual(result.sport_id, 2)
self.assertEqual(result.referee_id, 4)
self.assertEqual(result.level_date, date(2019, 6, 1))
@pytest.mark.usefixtures("init_database")
class TestCoachTable(unittest.TestCase):
"""Test Coach Table"""
def test_coach_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(Coach).all()
self.assertEqual(len(result), 2, "Not equal to TWO Coach rows")
def test_coach(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(Coach).get(1)
self.assertEqual(result.active, True)
self.assertEqual(result.first_name, "Homer")
self.assertEqual(result.last_name, "Simpson")
self.assertEqual(result.address1, "123 Evergreen Terrace")
self.assertEqual(result.city, "Springfield")
self.assertEqual(result.state, "MA")
self.assertEqual(result.zip_code, "12345")
self.assertEqual(result.email, "hsimpson@simpsons.com")
result = DB.session.query(Coach).get(2)
self.assertEqual(result.active, False)
self.assertEqual(result.first_name, "Marge")
self.assertEqual(result.last_name, "Simpson")
self.assertEqual(result.address1, "123 Evergreen Terrace")
self.assertEqual(result.city, "Springfield")
self.assertEqual(result.state, "MA")
self.assertEqual(result.zip_code, "12345")
self.assertEqual(result.email, "msimpson@simpsons.com")
@pytest.mark.usefixtures("init_database")
class TestCoachSportTable(unittest.TestCase):
"""Test Coach Sport Table"""
def test_coach_sport_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(CoachSport).all()
self.assertEqual(len(result), 2, "Not equal to TWO Coach Sport rows")
def test_coach_sport(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(CoachSport).get((1, 1))
self.assertEqual(result.active, True)
self.assertEqual(result.sport_id, 1)
self.assertEqual(result.coach_id, 1)
result = DB.session.query(CoachSport).get((2, 2))
self.assertEqual(result.active, False)
self.assertEqual(result.sport_id, 2)
self.assertEqual(result.coach_id, 2)
@pytest.mark.usefixtures("init_database")
class TestCoachTeamTable(unittest.TestCase):
"""Test Coach Team Table"""
def test_coach_team_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(CoachSport).all()
self.assertEqual(len(result), 2, "Not equal to TWO Coach Team rows")
def test_coach_team(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(CoachTeam).get((1, 1))
self.assertEqual(result.active, True)
self.assertEqual(result.team_id, 1)
self.assertEqual(result.coach_id, 1)
result = DB.session.query(CoachTeam).get((2, 2))
self.assertEqual(result.active, False)
self.assertEqual(result.team_id, 2)
self.assertEqual(result.coach_id, 2)
@pytest.mark.usefixtures("init_database")
class TestPlayerTable(unittest.TestCase):
"""Test Player Table"""
def test_player_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(Player).all()
self.assertEqual(len(result), 2, "Not equal to TWO Player rows")
def test_player(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(Player).get(5)
self.assertEqual(result.active, True)
self.assertEqual(result.first_name, "Maggie")
self.assertEqual(result.last_name, "Simpson")
self.assertEqual(result.address1, "123 Evergreen Terrace")
self.assertEqual(result.city, "Springfield")
self.assertEqual(result.state, "MA")
self.assertEqual(result.zip_code, "12345")
self.assertEqual(result.email, "maggie.simpson@simpsons.com")
self.assertEqual(result.birth_date, date(2002, 10, 3))
result = DB.session.query(Player).get(6)
self.assertEqual(result.active, False)
self.assertEqual(result.first_name, "Milhouse")
self.assertEqual(result.last_name, "Van Houten")
self.assertEqual(result.address1, "123 Evergreen Terrace")
self.assertEqual(result.city, "Springfield")
self.assertEqual(result.state, "MA")
self.assertEqual(result.zip_code, "12345")
self.assertEqual(result.email, "mvanhouten@simpsons.com")
self.assertEqual(result.birth_date, date(2000, 3, 10))
@pytest.mark.usefixtures("init_database")
class TestPlayerSportTable(unittest.TestCase):
"""Test Player Sport Table"""
def test_player_sport_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(PlayerSport).all()
self.assertEqual(len(result), 2, "Not equal to TWO Player Sport rows")
def test_player_sport(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(PlayerSport).get((5, 1))
self.assertEqual(result.active, True)
self.assertEqual(result.sport_id, 1)
self.assertEqual(result.player_id, 5)
result = DB.session.query(PlayerSport).get((6, 2))
self.assertEqual(result.active, False)
self.assertEqual(result.sport_id, 2)
self.assertEqual(result.player_id, 6)
@pytest.mark.usefixtures("init_database")
class TestPlayerTeamTable(unittest.TestCase):
"""Test Player Team Table"""
def test_player_team_all(self):
"""Test Query gets correct number of rows"""
result = DB.session.query(PlayerTeam).all()
self.assertEqual(len(result), 2, "Not equal to TWO Player Team rows")
def test_player_team(self):
"""Test to confirm columns return correctly"""
result = DB.session.query(PlayerTeam).get((5, 1))
self.assertEqual(result.active, True)
self.assertEqual(result.team_id, 1)
self.assertEqual(result.player_id, 5)
result = DB.session.query(PlayerTeam).get((6, 2))
self.assertEqual(result.active, False)
self.assertEqual(result.team_id, 2)
self.assertEqual(result.player_id, 6)
if __name__ == '__main__':
unittest.main()
| 41.848708
| 82
| 0.670047
| 1,388
| 11,341
| 5.383285
| 0.09366
| 0.208779
| 0.258565
| 0.08833
| 0.814106
| 0.79189
| 0.713865
| 0.695396
| 0.636376
| 0.636108
| 0
| 0.015349
| 0.201481
| 11,341
| 270
| 83
| 42.003704
| 0.809739
| 0.102989
| 0
| 0.441026
| 0
| 0
| 0.099149
| 0.01342
| 0
| 0
| 0
| 0
| 0.533333
| 1
| 0.128205
| false
| 0
| 0.025641
| 0
| 0.210256
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
e95209f89716ffe75641dc5b8a926cca7ef86c74
| 2,812
|
py
|
Python
|
userbot/modules/figlet.py
|
oxyda-fox/XBot-Remix
|
3d97bea5395b223fc89a8cc6cb699cc624ccc967
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null |
userbot/modules/figlet.py
|
oxyda-fox/XBot-Remix
|
3d97bea5395b223fc89a8cc6cb699cc624ccc967
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null |
userbot/modules/figlet.py
|
oxyda-fox/XBot-Remix
|
3d97bea5395b223fc89a8cc6cb699cc624ccc967
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null |
#Encript Marshal By XVenom
#https://github.com/xvenom15
import marshal
exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00sF\x00\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x02l\x01m\x02Z\x02\x01\x00d\x00d\x03l\x03m\x04Z\x04\x01\x00e\x04d\x04d\x05d\x06\x8d\x02d\x07d\x08\x84\x00\x83\x01Z\x05e\x02\xa0\x06d\x08d\ti\x01\xa1\x01\x01\x00d\x01S\x00)\n\xe9\x00\x00\x00\x00N)\x01\xda\x08CMD_HELP)\x01\xda\x08registerTz\x10^\\.fg(?: |$)(.*))\x02Z\x08outgoingZ\x07patternc\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\x0e\x00\x00\x00\xc3\x00\x00\x00s\xf6\x00\x00\x00|\x00j\x00r\nd\x00S\x00d\x01d\x02d\x03d\x04d\x05d\x06d\x07d\x08d\td\nd\x0bd\x0cd\rd\x0e\x9c\r}\x01|\x00j\x01\xa0\x02d\x0f\xa1\x01}\x02d\x10|\x02k\x06rR|\x02j\x03d\x10d\x0fd\x11\x8d\x02\\\x02}\x03}\x04n&|\x02d\x00k\trdd\x00}\x04|\x02}\x03n\x14|\x00\xa0\x04d\x12\xa1\x01I\x00d\x00H\x00\x01\x00d\x00S\x00|\x04d\x00k\tr\xc4z\x0c|\x01|\x04\x19\x00}\x05W\x00n&\x04\x00t\x05k\nr\xb2\x01\x00\x01\x00\x01\x00|\x00\xa0\x04d\x13\xa1\x01I\x00d\x00H\x00\x01\x00Y\x00d\x00S\x00X\x00t\x06j\x07|\x03|\x05d\x14\x8d\x02}\x06n\nt\x06\xa0\x07|\x03\xa1\x01}\x06|\x00\xa0\x08d\x15\xa0\t|\x06\xa1\x01\xa1\x01I\x00d\x00H\x00\x01\x00|\x00\xa0\n\xa1\x00I\x00d\x00H\x00\x01\x00d\x00S\x00)\x16N\xda\x05slantz\x033-dZ\x0c5lineobliqueZ\x08alphabetz\tbanner3-D\xda\x03dohZ\nisometric1Z\x07lettersZ\talligatorZ\tdotmatrix\xda\x06bubbleZ\x08bulbheadZ\x07digital)\rr\x04\x00\x00\x00Z\x023DZ\x055lineZ\x05alphaZ\x06bannerr\x05\x00\x00\x00Z\x03isoZ\x06letterZ\x05alligZ\x04dotmr\x06\x00\x00\x00Z\x04bulbZ\x04digi\xe9\x01\x00\x00\x00\xda\x01.)\x01\xda\x08maxsplitz `Please add some text to figlet`z\x18`Invalid selected font.`)\x01\xda\x04fontu\r\x00\x00\x00\xe2\x80\x8c\xe2\x80\x8c\xe2\x80\x8e`{}`)\x0bZ\x08fwd_fromZ\rpattern_match\xda\x05group\xda\x05splitZ\x04edit\xda\x08KeyError\xda\x08pyfigletZ\rfiglet_formatZ\x07respond\xda\x06format\xda\x06delete)\x07\xda\x01eZ\x07CMD_FIGZ\tinput_str\xda\x04text\xda\x03cmdr\n\x00\x00\x00\xda\x06result\xa9\x00r\x15\x00\x00\x00\xda\x00\xda\x06figlet\x0b\x00\x00\x00s*\x00\x00\x00\x00\x02\x06\x01\x04\x01 \x01\x0c\x01\x08\x01\x14\x01\x08\x01\x04\x01\x06\x02\x10\x01\x04\x01\x08\x01\x02\x01\x0c\x01\x0e\x01\x10\x01\x08\x01\x10\x02\n\x01\x16\x01r\x17\x00\x00\x00z\xcf>`.fg`\nUsage: Enhance ur text to strip line with anvil.\n\nExample: `.figlet TEXT.STYLE`\nSTYLE LIST: `slant`, `3D`, `5line`, `alpha`, `banner`, `doh`, `iso`, `letter`, `allig`, `dotm`, `bubble`, `bulb`, `digi`)\x07r\x0e\x00\x00\x00Z\x07userbotr\x02\x00\x00\x00Z\x0euserbot.eventsr\x03\x00\x00\x00r\x17\x00\x00\x00\xda\x06updater\x15\x00\x00\x00r\x15\x00\x00\x00r\x15\x00\x00\x00r\x16\x00\x00\x00\xda\x08<module>\x07\x00\x00\x00s\x10\x00\x00\x00\x08\x01\x0c\x01\x0c\x02\n\x01\n\x19\x04\x01\x02\x01\x02\xfe'))
| 703
| 2,741
| 0.763158
| 550
| 2,812
| 3.890909
| 0.385455
| 0.196262
| 0.164019
| 0.134579
| 0.131776
| 0.102336
| 0.079439
| 0.056075
| 0.03785
| 0.03785
| 0
| 0.29917
| 0.01458
| 2,812
| 4
| 2,741
| 703
| 0.473114
| 0.018492
| 0
| 0
| 0
| 0.5
| 0.984777
| 0.894527
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 10
|
e9a656cf8af4813398d0ec90533f53b1d6c50889
| 133
|
py
|
Python
|
sklift/metrics/__init__.py
|
ElMaxuno/scikit-uplift
|
db0fdf84398d306ffa15f5350ad1d136f902ead2
|
[
"MIT"
] | null | null | null |
sklift/metrics/__init__.py
|
ElMaxuno/scikit-uplift
|
db0fdf84398d306ffa15f5350ad1d136f902ead2
|
[
"MIT"
] | null | null | null |
sklift/metrics/__init__.py
|
ElMaxuno/scikit-uplift
|
db0fdf84398d306ffa15f5350ad1d136f902ead2
|
[
"MIT"
] | null | null | null |
from .metrics import uplift_curve, auuc, qini_curve, auqc, uplift_at_k
__all__ = [uplift_curve, auuc, qini_curve, auqc, uplift_at_k]
| 44.333333
| 70
| 0.796992
| 22
| 133
| 4.272727
| 0.5
| 0.234043
| 0.319149
| 0.404255
| 0.787234
| 0.787234
| 0.787234
| 0.787234
| 0.787234
| 0
| 0
| 0
| 0.112782
| 133
| 3
| 71
| 44.333333
| 0.79661
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 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
| 10
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.