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# pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
import json
import shutil
import urllib.request
from pathlib import Path
from typing import Dict
import pytest
import docker
import jsonschema
import yaml
# HELPERS
# FIXTURES
@pytest.fixture(scope="function")
@pytest.fixture(scope="function")
# TESTS
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from setuptools import setup
descr = """h5cat: Quick preview of hdf5 files
Quickly check the contents of multiple hdf5 files. Usage:
`h5cat -h`
`h5cat path/to/hdffiles/*.h5`
Note: h5cat is no longer maintained. For similar functionality, see
h5glance at https://pypi.org/project/h5glance/#description
"""
DISTNAME = 'h5cat'
DESCRIPTION = 'Quick preview of hdf5 files'
LONG_DESCRIPTION = descr
MAINTAINER = 'Juan Nunez-Iglesias'
MAINTAINER_EMAIL = '[email protected]'
URL = 'https://github.com/jni/h5cat'
LICENSE = 'BSD 3-clause'
DOWNLOAD_URL = 'https://github.com/jni/h5cat'
VERSION = '0.1'
INST_DEPENDENCIES = []
if __name__ == '__main__':
setup(name=DISTNAME,
version=VERSION,
url=URL,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
author=MAINTAINER,
author_email=MAINTAINER_EMAIL,
license=LICENSE,
py_modules=['h5cat'],
package_data={},
install_requires=INST_DEPENDENCIES,
entry_points = {
'console_scripts': ['h5cat=h5cat:main']
}
)
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] | 2.067019 | 567 |
import datetime as dt
import sys
import typing as tp
from loguru import logger
from motor.motor_asyncio import AsyncIOMotorClient
from .Unit import Unit
def _get_database_client(mongo_connection_uri: str) -> AsyncIOMotorClient:
"""Get MongoDB connection url"""
try:
db_client = AsyncIOMotorClient(mongo_connection_uri, serverSelectionTimeoutMS=10000)
db_client.server_info()
return db_client
except Exception as E:
message = (
f"Failed to establish database connection: {E}. "
f"Is the provided URI correct? {mongo_connection_uri=} Exiting."
)
logger.critical(message)
sys.exit(1)
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] | 2.543071 | 267 |
import pytest
import sys
import agent as agent
import lux.game as g
import lux.game_objects as go
import lux.game_map as gm
import lux.constants as c
from collections import deque
"""
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'rp 0 0' <- research points (player id, num)
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'rp 1 0'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'r coal 0 3 419' <- resource (type, x, y, amount)
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'r wood 0 9 314'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'r uranium 6 10 331'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'u 0 0 u_1 13 7 0 0 0 0' <- unit (type, team, id, x, y, cooldown, wood, coal, uranium)
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'u 0 1 u_2 13 16 0 0 0 0'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'c 0 c_1 0 23' <- city (team, id, fuel, lightupkeep)
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'c 1 c_2 0 23'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'ct 0 c_1 13 7 0' <- citytile (team, id, x, y, cooldown)
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'ct 1 c_2 13 16 0'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'ccd 13 7 6' <- road (x, y, level)
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'ccd 13 16 6'
[WARN] (match_NF4VsaRK1hf9) - Agent 0 sent malformed command: 'D_DONE'
"""
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6428,
12214,
3141,
25,
220,
705,
535,
67,
1511,
1467,
718,
6,
198,
58,
37771,
60,
357,
15699,
62,
21870,
19,
53,
11400,
49,
42,
16,
71,
69,
24,
8,
532,
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657,
1908,
6428,
12214,
3141,
25,
220,
705,
35,
62,
35,
11651,
6,
198,
37811,
628,
628
] | 2.404688 | 640 |
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from time import *
program_begin = time()
# a=pd.DataFrame(pd.date_range("2022-2-14 0:0:02","2022-2-15 23:59:58",freq='2S'))
workdir = r"C:\Users\zyhly\Downloads\mydata"
df = pd.read_excel(f"{workdir}/a03_data.xlsx", index_col=None)
# 以datetime形式将字符串拆分为日期和时间
date2 = pd.to_datetime(df["Date"], errors="coerce") # 方便人查看
df["Date2"] = date2.dt.date # 方便人查看
df["Time"] = date2.dt.time # 方便人查看
df["stime"] = date2.apply(lambda t: t.value // 10 ** 9) # 转化为unix时间戳最小单位是秒s
df.set_index("Date", inplace=True)
df = df.sort_index(ascending=True)
print("Line 17#", df.head())
df["bool_stop"] = df["车速"].between(0, 1000 / 3, inclusive="both")
# returning dataframe with salary between above values
# making a bool series
start_time = datetime.datetime.strptime("6:50:00", "%H:%M:%S").time()
end_time = datetime.datetime.strptime("15:29:59", "%H:%M:%S").time()
start_time2 = datetime.datetime.strptime("15:30:00", "%H:%M:%S").time()
end_time2 = datetime.datetime.strptime("23:59:59", "%H:%M:%S").time()
locs_morning = df.index.indexer_between_time(start_time, end_time) # 返回的是符合条件的数据的行号
locs_afternoon = df.index.indexer_between_time(start_time2, end_time2) # 返回的是符合条件的数据的行号
# df1 = df.iloc[locs_morning] # 早班
df1 = df.iloc[locs_afternoon] # 中班
df1 = df1.loc["2022-02-14"]
df1.to_excel(f"{workdir}/baseline.xlsx")
df1 = df1.loc[df1["bool_stop"] == False] # 这里的False一定不能用引号
df2 = df1["stime"]
print(type(df2)) # class 'pandas.core.series.Series'
df2 = df2.diff()
df2 = df2.fillna(0) #
"""
ser_diff = df3.index.to_series().diff()
df3["ser_diff"] = ser_diff.dt.seconds.div(60, fill_value=0)
# df3["总秒数"] = df3.index.to_series().diff().dt.total_seconds()
"""
# between_time() got an unexpected keyword argument 'inclusive'
print("Line 47#", df2.head())
# df2 = df2[df2>2]
print(df2[df2 > 2].value_counts())
df2.to_excel(f"{workdir}/01.xlsx")
program_finish = time()
print("用时:", program_finish - program_begin)
plt.rcParams["font.sans-serif"] = ["SimHei"] # 用来正常显示中文标签
plt.rcParams["axes.unicode_minus"] = False # 用来正常显示负号
plt.subplot(211)
df2.plot()
# plt.show()
plt.subplot(212)
df2[df2 > 2].value_counts().sort_index().plot(kind="bar")
plt.show()
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] | 1.883892 | 1,223 |
# SPDX-License-Identifier: MIT
"""NAND IO init."""
from .interface import NandIO
__all__ = ["NandIO"]
| [
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"""
File: Drawing
Name: Johnson
----------------------
TODO:
"""
from campy.graphics.gobjects import GOval, GRect, GPolygon
from campy.graphics.gwindow import GWindow
if __name__ == '__main__':
main()
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from typing import Any, Dict, Optional, Type, TypeVar
import warnings
from .webviz_factory import WebvizFactory
from .webviz_instance_info import WebvizInstanceInfo, WEBVIZ_INSTANCE_INFO
T = TypeVar("T", bound=WebvizFactory)
class WebvizFactoryRegistry:
"""Global registry for factories that allows the actual factory instances
to be shared between plugins. Also facilitates storage of optional factory
settings that are read from the YAML config file for later consumption when
an actual factory gets created and added to the registry.
The registry is exposed globally through WEBVIZ_FACTORY_REGISTRY below.
This is also the reason for the two-stage initialization approach. Note that
the registry instance is useless until the initialize() method has been called.
Note that this functionality is provisional/experimental, and will not necessarily
see a deprecation phase and "may deviate from the usual version semantics."
"""
def initialize(
self,
factory_settings_dict: Optional[Dict[str, Any]],
) -> None:
"""Does the actual initialization of the object instance.
This function will be called as part of the webviz_app.py / jinja2 template.
"""
if self._is_initialized:
raise RuntimeError("Registry already initialized")
if factory_settings_dict:
if not isinstance(factory_settings_dict, dict):
raise TypeError("factory_settings_dict must be of type dict")
self._factory_settings_dict = factory_settings_dict
self._is_initialized = True
@property
@property
WEBVIZ_FACTORY_REGISTRY = WebvizFactoryRegistry()
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] | 3.106227 | 546 |
# coding: utf-8
"""
Author: Pham Duy
Created date: 2020/08/05
"""
# coding: utf-8
import numpy as np
import random
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score
import torchtext
import pandas as pd
import datetime
import os
import sys
from utils.EarlyStopping import EarlyStopping
from utils.transformer import TransformerClassification
from utils.dataloader import Preprocessing
preprocessing = Preprocessing()
es = EarlyStopping(patience=10)
sigmoid = nn.Sigmoid()
if __name__ == '__main__':
path = "./data/"
train_file = "train.csv"
test_file = "test.csv"
vector_list_file = "wiki-news-300d-1M.vec"
train(data_path=path, train_file=train_file, test_file=test_file, vector_list=vector_list_file)
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] | 2.813149 | 289 |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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import uuid
from datetime import datetime, timedelta
from django.test import SimpleTestCase, TestCase
from django.test.utils import override_settings
import pytz
from corehq.util.es.elasticsearch import ConnectionError
from mock import MagicMock, patch
from casexml.apps.case.const import CASE_ACTION_CREATE
from casexml.apps.case.models import CommCareCase, CommCareCaseAction
from corehq.apps.commtrack.tests.util import bootstrap_domain
from dimagi.utils.dates import DateSpan
from pillowtop.es_utils import initialize_index_and_mapping
from corehq.apps.custom_data_fields.models import (
CustomDataFieldsDefinition,
CustomDataFieldsProfile,
Field,
PROFILE_SLUG,
)
from corehq.apps.domain.calculations import cases_in_last, inactive_cases_in_last
from corehq.apps.es import CaseES, UserES
from corehq.apps.es.aggregations import MISSING_KEY
from corehq.apps.es.tests.utils import es_test
from corehq.apps.groups.models import Group
from corehq.apps.hqcase.utils import SYSTEM_FORM_XMLNS, get_case_by_identifier
from corehq.apps.locations.tests.util import setup_locations_and_types, restrict_user_by_location
from corehq.apps.reports.analytics.esaccessors import (
get_active_case_counts_by_owner,
get_all_user_ids_submitted,
get_case_counts_closed_by_user,
get_case_counts_opened_by_user,
get_case_types_for_domain_es,
get_case_and_action_counts_for_domains,
get_completed_counts_by_user,
get_form_counts_by_user_xmlns,
get_form_counts_for_domains,
get_form_duration_stats_by_user,
get_form_duration_stats_for_users,
get_form_ids_having_multimedia,
get_forms,
get_last_submission_time_for_users,
get_group_stubs,
get_form_name_from_last_submission_for_xmlns,
get_paged_forms_by_type,
get_submission_counts_by_date,
get_submission_counts_by_user,
get_total_case_counts_by_owner,
get_user_stubs,
get_groups_by_querystring,
get_username_in_last_form_user_id_submitted,
guess_form_name_from_submissions_using_xmlns,
scroll_case_names,
)
from corehq.apps.reports.standard.cases.utils import query_location_restricted_cases
from corehq.apps.users.models import CommCareUser, DomainPermissionsMirror
from corehq.apps.users.views.mobile.custom_data_fields import UserFieldsView
from corehq.blobs.mixin import BlobMetaRef
from corehq.elastic import get_es_new, send_to_elasticsearch
from corehq.form_processor.interfaces.dbaccessors import CaseAccessors
from corehq.form_processor.models import CaseTransaction, CommCareCaseSQL
from corehq.form_processor.tests.utils import run_with_all_backends
from corehq.form_processor.utils import TestFormMetadata
from corehq.pillows.case import transform_case_for_elasticsearch
from corehq.pillows.mappings.case_mapping import CASE_INDEX, CASE_INDEX_INFO
from corehq.pillows.mappings.group_mapping import GROUP_INDEX_INFO
from corehq.pillows.mappings.user_mapping import USER_INDEX, USER_INDEX_INFO
from corehq.pillows.mappings.xform_mapping import XFORM_INDEX_INFO
from corehq.pillows.user import transform_user_for_elasticsearch
from corehq.pillows.utils import MOBILE_USER_TYPE, WEB_USER_TYPE
from corehq.pillows.xform import transform_xform_for_elasticsearch
from corehq.util.elastic import ensure_index_deleted, reset_es_index
from corehq.util.test_utils import make_es_ready_form, trap_extra_setup
@es_test
@es_test
@es_test
@override_settings(TESTS_SHOULD_USE_SQL_BACKEND=True)
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31,
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62,
9288,
628,
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31,
274,
62,
9288,
628,
198,
198,
31,
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62,
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7,
51,
1546,
4694,
62,
9693,
24010,
62,
19108,
62,
17861,
62,
31098,
10619,
28,
17821,
8,
198
] | 2.76886 | 1,246 |
'''
Given an integer n, return 1 - n in lexicographical order.
For example, given 13, return: [1,10,11,12,13,2,3,4,5,6,7,8,9].
Please optimize your algorithm to use less time and space. The input size may be as large as 5,000,000.
'''
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] | 2.747126 | 87 |
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from oslo_versionedobjects import base as obj_base
from oslo_versionedobjects import fields as obj_fields
import sqlalchemy as sa
from neutron.db import model_base
from neutron.objects import base as objects_base
from neutron.tests.unit.objects import test_base
from neutron.tests.unit import testlib_api
@obj_base.VersionedObjectRegistry.register_if(False)
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14815,
276,
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8081,
4592,
13,
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62,
361,
7,
25101,
8,
628,
198
] | 3.448029 | 279 |
import pytest
from flask import current_app
from flask_bootstrap import (
VERSION_BOOTSTRAP, VERSION_JQUERY, VERSION_POPPER,
BOOTSTRAP_CSS_INTEGRITY, BOOTSTRAP_JS_INTEGRITY,
JQUERY_INTEGRITY, POPPER_INTEGRITY
)
@pytest.mark.usefixtures('client')
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] | 2.385321 | 109 |
from django.shortcuts import redirect, render
from django.core import mail
from django.views.generic import CreateView
from .forms import CreationForm
| [
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] | 4.026316 | 38 |
from .. import PropertyCalculation, LivePropertyCalculation
import numpy as np
from tangos import get_halo
| [
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] | 4 | 27 |
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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 os
import sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
from base_all_run import BaseCaseRun
from tests.common.test_run.ascend.conv_run import conv_run
from tests.common.test_run.ascend.conv_backprop_input_run import conv_backprop_input_run
from tests.common.test_run.ascend.conv_backprop_filter_run import conv_backprop_filter_run
from tests.common.test_run.ascend.fused_batch_norm_run import fused_batch_norm_run
from tests.common.test_run.ascend.fused_batch_norm_grad_run import fused_batch_norm_grad_run
from tests.common.test_run.ascend.batch_norm_ad_run import batch_norm_ad_run
from tests.common.test_run.ascend.batchmatmul_run import batchmatmul_execute
from tests.common.test_run.ascend.maxpool_with_argmax_run import maxpool_with_argmax_run
from tests.common.test_run.ascend.mean_run import mean_execute
from tests.common.test_run.ascend.mean_ad_run import mean_ad_run
from tests.common.test_run.ascend.relu_run import relu_run
from tests.common.test_run.ascend.relu_grad_run import relu_grad_run
from tests.common.test_run.ascend.relu_ad_run import relu_ad_run
from tests.common.test_run import add_run
from tests.common.test_run import addn_run
from tests.common.test_run.ascend.sparse_softmax_cross_entropy_with_logits_run import sparse_softmax_cross_entropy_with_logits_run
from tests.common.test_run.ascend.sparse_softmax_cross_entropy_with_logits_ad_run import sparse_softmax_cross_entropy_with_logits_ad_run
from tests.common.test_run.ascend.bias_add_ad_run import bias_add_ad_run
from tests.common.test_run import reshape_run
from tests.common.test_run.ascend.apply_momentum_run import apply_momentum_run
from tests.common.test_run import cast_run
from tests.common.test_run.ascend.conv_bn1_run import conv_bn1_run
from tests.common.test_run.ascend.conv_input_ad_run import conv_input_ad_run
from tests.common.test_run.ascend.conv_filter_ad_run import conv_filter_ad_run
if __name__ == "__main__":
print_args()
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] | 3.009434 | 848 |
# Generated by Django 3.1.3 on 2020-12-03 11:12
from django.db import migrations, models
import django.db.models.deletion
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] | 2.818182 | 44 |
import argparse
import logging
import signal
import sys
from pathlib import Path
from aiohttp import web
from factorio_status_ui.state import application_config
from factorio_status_ui.web import setup_routes, setup_templates, start_background_tasks, cleanup_background_tasks, \
get_version
if __name__ == '__main__':
main()
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import io
import numpy as np
# Read embeddings to a numpy array and word2id dictionary
# Normalize embeddings
# Read lines from .txt file into a list of lists of words
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from collections import Counter
from typing import Callable, Union
import numpy as np
from rdkit import Chem
from dglt.data.featurization.mol2features import register_features_generator
from third_party.descriptastorus.descriptors import rdDescriptors
Molecule = Union[str, Chem.Mol]
FeaturesGenerator = Callable[[Molecule], np.ndarray]
RDKIT_PROPS = ['fr_Al_COO', 'fr_Al_OH', 'fr_Al_OH_noTert', 'fr_ArN',
'fr_Ar_COO', 'fr_Ar_N', 'fr_Ar_NH', 'fr_Ar_OH', 'fr_COO', 'fr_COO2',
'fr_C_O', 'fr_C_O_noCOO', 'fr_C_S', 'fr_HOCCN', 'fr_Imine', 'fr_NH0',
'fr_NH1', 'fr_NH2', 'fr_N_O', 'fr_Ndealkylation1', 'fr_Ndealkylation2',
'fr_Nhpyrrole', 'fr_SH', 'fr_aldehyde', 'fr_alkyl_carbamate', 'fr_alkyl_halide',
'fr_allylic_oxid', 'fr_amide', 'fr_amidine', 'fr_aniline', 'fr_aryl_methyl',
'fr_azide', 'fr_azo', 'fr_barbitur', 'fr_benzene', 'fr_benzodiazepine',
'fr_bicyclic', 'fr_diazo', 'fr_dihydropyridine', 'fr_epoxide', 'fr_ester',
'fr_ether', 'fr_furan', 'fr_guanido', 'fr_halogen', 'fr_hdrzine', 'fr_hdrzone',
'fr_imidazole', 'fr_imide', 'fr_isocyan', 'fr_isothiocyan', 'fr_ketone',
'fr_ketone_Topliss', 'fr_lactam', 'fr_lactone', 'fr_methoxy', 'fr_morpholine',
'fr_nitrile', 'fr_nitro', 'fr_nitro_arom', 'fr_nitro_arom_nonortho',
'fr_nitroso', 'fr_oxazole', 'fr_oxime', 'fr_para_hydroxylation', 'fr_phenol',
'fr_phenol_noOrthoHbond', 'fr_phos_acid', 'fr_phos_ester', 'fr_piperdine',
'fr_piperzine', 'fr_priamide', 'fr_prisulfonamd', 'fr_pyridine', 'fr_quatN',
'fr_sulfide', 'fr_sulfonamd', 'fr_sulfone', 'fr_term_acetylene', 'fr_tetrazole',
'fr_thiazole', 'fr_thiocyan', 'fr_thiophene', 'fr_unbrch_alkane', 'fr_urea']
@register_features_generator('fgtasklabel')
def rdkit_functional_group_label_features_generator(mol: Molecule) -> np.ndarray:
"""
Generates functional group label for a molecule in RDKit.
:param mol: A molecule (i.e. either a SMILES string or an RDKit molecule).
:return: A 1D numpy array containing the RDKit 2D features.
"""
smiles = Chem.MolToSmiles(mol, isomericSmiles=True) if type(mol) != str else mol
generator = rdDescriptors.RDKit2D(RDKIT_PROPS)
features = generator.process(smiles)[1:]
features = np.array(features)
features[features != 0] = 1
return features
def atom_to_vocab(mol, atom):
"""
Convert atom to vocabulary. The convention is based on atom type and bond type.
:param mol: the molecular.
:param atom: the target atom.
:return:
"""
nei = Counter()
for a in atom.GetNeighbors():
bond = mol.GetBondBetweenAtoms(atom.GetIdx(), a.GetIdx())
nei[str(a.GetSymbol()) + "-" + str(bond.GetBondType())] += 1
keys = nei.keys()
keys = list(keys)
keys.sort()
output = atom.GetSymbol()
for k in keys:
output = "%s_%s%d" % (output, k, nei[k])
# The generated vocab is too long?
return output
smiles = "CC(C)Nc1c(nc2ncccn12)c3ccc4[nH]ncc4c3"
mol = Chem.MolFromSmiles(smiles)
for i, atom in enumerate(mol.GetAtoms()):
atom_to_vocab(mol, atom)
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] | 2.099093 | 1,544 |
from ...source.source import Sources
from ...base import field
FIELD_SOURCES = field(
"Sources for loading and saving",
default_factory=lambda: Sources(),
labeled=True,
)
| [
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] | 3.135593 | 59 |
from requests import get
from requests import RequestException
from collections import OrderedDict
from contextlib import closing
import os
import logging
from .file import FileUtil
from datetime import date
import json
os.chdir(os.getcwd())
def simple_get(url):
"""
Attempts to get the content at `url` by making an HTTP GET request.
If the content-type of response is some kind of HTML/XML, return the
text content, otherwise return None.
"""
try:
with closing(get(url, stream=True)) as res:
if is_good_response(res):
return res.content
else:
return None
except RequestException as e:
raise e
def is_good_response(res, content_type='html'):
"""
Returns True if the response seems to be Content type (default html), False otherwise.
"""
content_type = res.headers['Content-Type'].lower()
return (res.status_code == 200 and content_type is not None and content_type.find(content_type) > -1)
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532,
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8,
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198
] | 2.831025 | 361 |
import logging
import os
from typing import Dict, IO, Iterable, Union
import pyteomics.mzxml
import spectrum_utils.spectrum as sus
from lxml.etree import LxmlError
logger = logging.getLogger('falcon')
def get_spectra(source: Union[IO, str]) -> Iterable[sus.MsmsSpectrum]:
"""
Get the MS/MS spectra from the given mzXML file.
Parameters
----------
source : Union[IO, str]
The mzXML source (file name or open file object) from which the spectra
are read.
Returns
-------
Iterable[MsmsSpectrum]
An iterator over the spectra in the given file.
"""
with pyteomics.mzxml.MzXML(source) as f_in:
filename = os.path.splitext(os.path.basename(f_in.name))[0]
try:
for spectrum_dict in f_in:
if int(spectrum_dict.get('msLevel', -1)) == 2:
# USI-inspired cluster identifier.
scan_nr = int(spectrum_dict['id'])
spectrum_dict['id'] = f'{filename}:scan:{scan_nr}'
try:
yield _parse_spectrum(spectrum_dict)
except (ValueError, KeyError):
pass
except LxmlError as e:
logger.warning('Failed to read file %s: %s', source, e)
def _parse_spectrum(spectrum_dict: Dict) -> sus.MsmsSpectrum:
"""
Parse the Pyteomics cluster dict.
Parameters
----------
spectrum_dict : Dict
The Pyteomics cluster dict to be parsed.
Returns
-------
MsmsSpectrum
The parsed cluster.
"""
spectrum_id = spectrum_dict['id']
mz_array = spectrum_dict['m/z array']
intensity_array = spectrum_dict['intensity array']
retention_time = spectrum_dict.get('retentionTime', -1)
precursor_mz = spectrum_dict['precursorMz'][0]['precursorMz']
if 'precursorCharge' in spectrum_dict['precursorMz'][0]:
precursor_charge = spectrum_dict['precursorMz'][0]['precursorCharge']
else:
raise ValueError('Unknown precursor charge')
return sus.MsmsSpectrum(spectrum_id, precursor_mz, precursor_charge,
mz_array, intensity_array, None, retention_time)
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] | 2.268595 | 968 |
from math import ceil
from django import http
from rest_framework.pagination import PageNumberPagination
from rest_framework.viewsets import ModelViewSet
from rest_framework.decorators import action
from person.models import Post, Reply, ForumCategory, Person
from person.serializers import PostSerializer, LogicalDeletePostSerializer, CommentSerializer, TopicSerializer
# self-customized Pagination attributes
# View for processing model Post
# View for processing model reply
# view for processing model topic
| [
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if __name__ == "__main__":
main() | [
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##################################################################################################
#
# The MIT License (MIT)
#
# Peter Moss Acute Myeloid Leukemia Research Project
# Copyright (C) 2018 Adam Milton-Barker (AdamMiltonBarker.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.
#
# Title: Acute Myeloid Leukemia Movidius Classifier Data Class
# Description: Class for sorting the data for the Acute Myeloid Leukemia Movidius Classifier.
# Configuration: required/confs.json
# Last Modified: 2018-12-23
#
##################################################################################################
import os, sys, random
from Classes.Helpers import Helpers
from Classes.Data import Data as DataProcess
###############################################################
#
# Core Data class wrapper.
#
###############################################################
if __name__ == "__main__":
###############################################################
#
# Sorts the data ready for training
#
###############################################################
ProcessData = Data()
ProcessData.sortData() | [
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10854,
6601,
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# Generated by Django 3.2.8 on 2021-11-15 04:55
from django.db import migrations
| [
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# import the necessary package
from app.main import db
from app.main.service.user_service import get_a_user
from app.main.model.tokens import Token
from datetime import datetime
def check_token(access_token):
"""check if the token is opened"""
token = Token.check_opened_token_by_token(access_token)
if token:
response_object = {
'status': 'successful',
'message': "token's state opened",
'access_token': token.token
}
return response_object, 201
else:
response_object = {
"status": "fail",
"message": "token's status close",
"access_token": ""
}
return response_object, 501 | [
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import torch
from .constants import a0
def elec_energy_isolated_atom(const, Z, uss, upp, gss, gpp, gsp, gp2, hsp):
"""
electrionc energy for a single atom
#eisol in block.f or in calpar.f
return Eiso, shape (natoms,)
"""
Eiso = uss*const.ussc[Z] \
+ upp*const.uppc[Z] \
+ gss*const.gssc[Z] \
+ gpp*const.gppc[Z] \
+ gsp*const.gspc[Z] \
+ gp2*const.gp2c[Z] \
+ hsp*const.hspc[Z]
return Eiso
def elec_energy(P,F,Hcore):
"""
Get the electronic energy
P: density matrix, shape (nmol, molsize*4, molsize*4)
F: fock matrix, shape same as P
Hcore: Hcore matrix, shape (nmol, 4*molsize, 4*molsize)
return Eelec : electronic energy, shape (nmol,)
P, F: full, has upper and lower triangle
Hcore : only have upper triangle as constructed from hcore.py
"""
h = Hcore.triu()+Hcore.triu(1).transpose(1,2)
# Eelec = 0.5 * tr(P(Hcore+F)) # matmul
# Eelec = 0.5 * \sum P*(H+F) # elementwise product
Eelec = 0.5*torch.sum(P*(h+F),dim=(1,2))
return Eelec
def pair_nuclear_energy(const, nmol, ni, nj, idxi, idxj, rij, gam, method='AM1', parameters=None):
"""
Compute Nuclear Energy
method='MNDO', 'AM1', 'PM3'
nmol : number of molecules
pair_molid : molecule id for each pair, shape (npairs,)
ni, nj: atomic number, shape (npairs,)
rij: pair distance in atomic units, shape (npairs,)
gam : (s^A s^A, s^B, s^B) = w[...,0,0], shape(npairs,): w ==> second return vaule of hcore
parameters : tuple, (alpha,) or (alpha, K, L, M)
alpha : shape (natoms,)
K,L,M : guassian terms in PM3 or AM1, shape (natoms, 2 or 4)
return nuclear interaction energy for each molecule, (nmol, )
"""
rija=rij*a0
tore = const.tore
alpha = parameters[0]
t1 = tore[ni]*tore[nj]*gam
#special case for C-H and O-H
XH = ((ni==7) | (ni==8)) & (nj==1)
t2 = torch.zeros_like(t1)
tmp = torch.exp(-alpha[idxi]*rija)
t2[~XH] = tmp[~XH]
t2[XH] = tmp[XH]*rija[XH]
t3 = torch.exp(-alpha[idxj]*rija)
if method=='MNDO':
#in mopac, rij is in unit of angstrom
#EnucAB = torch.abs(t1*(1.0+t2+t3))
EnucAB = t1*(1.0+t2+t3)
elif method=='PM3' or method=='AM1':
#two gaussian terms for PM3
# 3~4 terms for AM1
_, K, L, M = parameters
#K, L , M shape (natoms,2 or 4)
t4 = tore[ni]*tore[nj]/rija
t5 = torch.sum(K[idxi]*torch.exp(-L[idxi]*(rija.reshape((-1,1))-M[idxi])**2),dim=1)
t6 = torch.sum(K[idxj]*torch.exp(-L[idxj]*(rija.reshape((-1,1))-M[idxj])**2),dim=1)
EnucAB = t1*(1.0+t2+t3) + t4*(t5 + t6)
else:
raise ValueError("Supported Method: MNDO, AM1, PM3")
return EnucAB
def total_energy(nmol, pair_molid, EnucAB, Eelec):
"""
total energy for each molecule
total energy E_tot^mol= Eelec + \sum{pair A,B,A<B} E_nuc^AB
#nuclear energy between pair of atom A and B: E_nuc^AB
as index_add is expensive, there is no need to do this during training
EnucAB :computed from pair_nuclear_energy, shape (npairs,)
pair_molid : molecule id for each pair
Eelec : electronic energy for each molecule, computed from elec_energy, shape (nmol)
"""
Enuc = torch.zeros((nmol,),dtype=EnucAB.dtype, device=EnucAB.device)
Enuc.index_add_(0,pair_molid, EnucAB)
Etot = Eelec + Enuc
return Etot, Enuc
def heat_formation(const, nmol, atom_molid, Z, Etot, Eiso, flag=True):
"""
get the heat of formation for each molecule
return Hf : shape (nmol,)
#heat of formation : delta H_f^mol
#electronic energies of isolated atom: E_el^A
#experimental heat of formation of isolatied atom : delta_H_f^A
# delta H_f^mol = E_tot^mol - \sum_A E_el^A + \sum_A delta_H_f^A
#flag: True, return Hf = Etot - Eiso_sum + eheat_sum
False, return Etot - Eiso_sum
"""
# electronic energy for isolated atom, sum for each molecule
Eiso_sum = torch.zeros_like(Etot)
Eiso_sum.index_add_(0,atom_molid,Eiso)
if flag:
# experimental heat of formation for each atom, sum for each molecule
eheat_sum = torch.zeros_like(Etot)
eheat_sum.index_add_(0,atom_molid,const.eheat[Z])
#Hf = Etot - Eiso_sum + eheat_sum
return Etot - Eiso_sum + eheat_sum
else:
return Etot - Eiso_sum
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220,
220,
220,
220,
220,
1441,
17906,
313,
532,
412,
26786,
62,
16345,
198
] | 2.126214 | 2,060 |
#########################################################
# 2020-01-23 12:41:37
# AI
# ins: XRL A, @Ri
#########################################################
from .common.INS_XXX_A_Ri import XXX_A_Ri
from ..asmconst import *
p = XRL_A_Ri().gen(0, 15, 1) | [
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] | 2.913043 | 92 |
# -*- coding: utf-8 -*-
"""A handful of integration tests to check for idiomatic use cases
that we want make sure are as convinient as possible for users.
"""
from . import _unittest as unittest
import math
import datetime
import datatest
try:
import squint
except ImportError:
squint = None
try:
import pandas
except ImportError:
pandas = None
try:
import numpy
except ImportError:
numpy = None
# Remove for datatest version 0.9.8.
import warnings
warnings.filterwarnings('ignore', message='subset and superset warning')
@unittest.skipUnless(squint, 'requires squint')
class TestAcceptedKeysDecorator(unittest.TestCase):
"""The accepted.keys() method should be usable as a decorator."""
class TestAcceptedArgsDecorator(unittest.TestCase):
"""The accepted.args() method should be usable as a decorator."""
def test_single_arg_tuple(self):
"""Compare with `test_multiple_args()` wrapping and unwrapping."""
Invalid = datatest.Invalid
ValidationError = datatest.ValidationError
# Check args where first arg is a tuple:
with self.assertRaises(ValidationError) as cm:
@datatest.accepted.args # <- Use as decorator!
with args_is_known_tuple:
raise ValidationError([Invalid(('a', 'A')), Invalid(('c', 'C'))])
self.assertEqual(cm.exception.differences, [Invalid(('c', 'C'))])
def test_multiple_args(self):
"""Compare with `test_single_arg_tuple()` wrapping and unwrapping."""
Invalid = datatest.Invalid
ValidationError = datatest.ValidationError
with self.assertRaises(ValidationError) as cm:
@datatest.accepted.args # <- Use as decorator!
with args_is_known_tuple:
raise ValidationError([Invalid('a', 'A'), Invalid('c', 'C')])
self.assertEqual(cm.exception.differences, [Invalid('c', 'C')])
| [
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66,
3256,
705,
34,
11537,
12962,
628,
198
] | 2.625171 | 731 |
"""The tests for day03."""
from days import day03
from ddt import ddt, data, unpack
import unittest
import helpers
@ddt
| [
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# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# ----------------------------------------------------------------------------
from __future__ import absolute_import, division, print_function
import warnings
import textwrap
import decorator
from ._exception import OverrideError
class _state_decorator(object):
""" Base class for decorators of all public functionality.
"""
_required_kwargs = ()
def _get_indentation_level(self, docstring_lines,
default_existing_docstring=4,
default_no_existing_docstring=0):
""" Determine the level of indentation of the docstring to match it.
The indented content after the first line of a docstring can
differ based on the nesting of the functionality being documented.
For example, a top-level function may have its "Parameters" section
indented four-spaces, but a method nested under a class may have
its "Parameters" section indented eight spaces. This function
determines the indentation level of the first non-whitespace line
following the initial summary line.
"""
# if there is no existing docstring, return the corresponding default
if len(docstring_lines) == 0:
return default_no_existing_docstring
# if there is an existing docstring with only a single line, return
# the corresponding default
if len(docstring_lines) == 1:
return default_existing_docstring
# find the first non-blank line (after the initial summary line) and
# return the number of leading spaces on that line
for line in docstring_lines[1:]:
if len(line.strip()) == 0:
# ignore blank lines
continue
else:
return len(line) - len(line.lstrip())
# if there is an existing docstring with only a single non-whitespace
# line, return the corresponding default
return default_existing_docstring
class stable(_state_decorator):
""" State decorator indicating stable functionality.
Used to indicate that public functionality is considered ``stable``,
meaning that its API will be backward compatible unless it is deprecated.
Decorating functionality as stable will update its doc string to indicate
the first version of scikit-bio when the functionality was considered
stable.
Parameters
----------
as_of : str
First release version where functionality is considered to be stable.
See Also
--------
experimental
deprecated
Examples
--------
>>> @stable(as_of='0.3.0')
... def f_stable():
... \"\"\" An example stable function.
... \"\"\"
... pass
>>> help(f_stable)
Help on function f_stable in module skbio.util._decorator:
<BLANKLINE>
f_stable()
An example stable function.
<BLANKLINE>
State: Stable as of 0.3.0.
<BLANKLINE>
"""
_required_kwargs = ('as_of', )
class experimental(_state_decorator):
""" State decorator indicating experimental functionality.
Used to indicate that public functionality is considered experimental,
meaning that its API is subject to change or removal with little or
(rarely) no warning. Decorating functionality as experimental will update
its doc string to indicate the first version of scikit-bio when the
functionality was considered experimental.
Parameters
----------
as_of : str
First release version where feature is considered to be experimental.
See Also
--------
stable
deprecated
Examples
--------
>>> @experimental(as_of='0.3.0')
... def f_experimental():
... \"\"\" An example experimental function.
... \"\"\"
... pass
>>> help(f_experimental)
Help on function f_experimental in module skbio.util._decorator:
<BLANKLINE>
f_experimental()
An example experimental function.
<BLANKLINE>
State: Experimental as of 0.3.0.
<BLANKLINE>
"""
_required_kwargs = ('as_of', )
class deprecated(_state_decorator):
""" State decorator indicating deprecated functionality.
Used to indicate that a public class or function is deprecated, meaning
that its API will be removed in a future version of scikit-bio. Decorating
functionality as deprecated will update its doc string to indicate the
first version of scikit-bio when the functionality was deprecated, the
first version of scikit-bio when the functionality will no longer exist,
and the reason for deprecation of the API. It will also cause calls to the
API to raise a ``DeprecationWarning``.
Parameters
----------
as_of : str
First development version where feature is considered to be deprecated.
until : str
First release version where feature will no longer exist.
reason : str
Brief description of why the API is deprecated.
See Also
--------
stable
experimental
Examples
--------
>>> @deprecated(as_of='0.3.0', until='0.3.3',
... reason='Use skbio.g().')
... def f_deprecated(x, verbose=False):
... \"\"\" An example deprecated function.
... \"\"\"
... pass
>>> help(f_deprecated)
Help on function f_deprecated in module skbio.util._decorator:
<BLANKLINE>
f_deprecated(x, verbose=False)
An example deprecated function.
<BLANKLINE>
.. note:: Deprecated as of 0.3.0 for removal in 0.3.3. Use skbio.g().
<BLANKLINE>
"""
_required_kwargs = ('as_of', 'until', 'reason')
# Adapted from http://stackoverflow.com/a/8313042/579416
def overrides(interface_class):
"""Decorator for class-level members.
Used to indicate that a member is being overridden from a specific parent
class. If the member does not have a docstring, it will pull one from the
parent class. When chaining decorators, this should be first as it is
relatively nondestructive.
Parameters
----------
interface_class : class
The class which has a member overridden by the decorated member.
Returns
-------
function
The function is not changed or replaced.
Raises
------
OverrideError
If the `interface_class` does not possess a member of the same name
as the decorated member.
"""
return overrider
class classproperty(property):
"""Decorator for class-level properties.
Supports read access only. The property will be read-only within an
instance. However, the property can always be redefined on the class, since
Python classes are mutable.
Parameters
----------
func : function
Method to make a class property.
Returns
-------
property
Decorated method.
Raises
------
AttributeError
If the property is set on an instance.
"""
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1002,
262,
3119,
318,
900,
319,
281,
4554,
13,
628,
220,
220,
220,
37227,
198
] | 2.922614 | 2,494 |
"""This is the command line interface to the master.
"""
import os
import os.path
import sys
from optparse import OptionParser
import logging
from logging.handlers import RotatingFileHandler
logger = logging.getLogger(__name__)
from master import *
import defs
try:
import datablox_engage_adapter.file_locator
using_engage = True
except ImportError:
using_engage = False
if using_engage:
engage_file_locator = datablox_engage_adapter.file_locator.FileLocator()
print "Running with Engage deployment home at %s" % \
engage_file_locator.get_dh()
import datablox_engage_adapter.install
else:
engage_file_locator = None
# error definitions
from engage_utils.user_error import UserError, ErrorInfo, convert_exc_to_user_error
import gettext
_ = gettext.gettext
AREA_DATABLOX = "Datablox Framework"
errors = {}
ERR_UNEXPECTED_EXC = 1
define_error(ERR_UNEXPECTED_EXC,
_("Aborting run due to unexpected error."))
error_file = None # if set by command line option, we'll write fatal errors to this file
def build_args(flat_args):
"""Given flattened arguments provided by the user
"""
args = {} # map where key is block id, value is a map from arg name to arg value
for k in flat_args.keys():
k_comps = k.split(".")
if (len(k_comps) < 2) or (len(k_comps) > 3):
raise Exception("invalid key %s: should have form [group_id].block_id.arg_name" % k)
if len(k_comps)==2:
gid = "main"
bid = k_comps[0]
an = k_comps[1]
else:
gid = k_comps[0]
bid = k_comps[1]
an = k_comps[2]
if not args.has_key(gid):
args[gid] = {}
group = args[gid]
if not group.has_key(bid):
group[bid] = {}
block = group[bid]
block[an] = flat_args[k]
return args
log_levels = {
"ERROR": logging.ERROR,
"WARN": logging.WARN,
"INFO": logging.INFO,
"DEBUG": logging.DEBUG,
"ALL": 1
}
running_from_command_line = False
if __name__ == "__main__":
call_from_console_script()
| [
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11,
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1298,
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13,
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11,
198,
220,
366,
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1298,
18931,
13,
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11,
198,
220,
366,
30531,
1298,
18931,
13,
30531,
11,
198,
220,
366,
7036,
1298,
352,
198,
92,
198,
198,
20270,
62,
6738,
62,
21812,
62,
1370,
796,
10352,
628,
220,
220,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
869,
62,
6738,
62,
41947,
62,
12048,
3419,
198
] | 2.568093 | 771 |
#!/usr/bin/env python3
import os
import re
import requests
# Inputs
images_dir = "/home/student/supplier-data/images/"
upload_url = "http://xxx.xxx.xxx.xxx/upload/"
# Get a list of paths of all .jpeg files in directory
file_list = os.listdir(images_dir)
jpeg_paths = [images_dir + item for item in file_list if bool(re.search(r"jpeg", item))]
# Post all .jpeg files to a web service
for path in jpeg_paths:
with open(path, "rb") as image:
response = requests.post(upload_url, files={"file": image})
print(response.status_code)
| [
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198,
220,
220,
220,
3601,
7,
26209,
13,
13376,
62,
8189,
8,
198
] | 2.803109 | 193 |
import random
import objs
import utils
#manh only
| [
11748,
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8457,
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220,
201,
198,
201,
198,
220,
220,
220,
1303,
805,
71,
691,
201,
198
] | 2.25 | 28 |
import FWCore.ParameterSet.Config as cms
run3_RPC = cms.Modifier()
| [
11748,
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628
] | 2.592593 | 27 |
import os
from mock import patch
from cloudify_rest_client import deployments
from ... import local
from .test_base import CliCommandTest
from ...constants import DEFAULT_UNINSTALL_WORKFLOW, \
DEFAULT_TIMEOUT, DEFAULT_PARAMETERS
from .constants import BLUEPRINTS_DIR, DEFAULT_BLUEPRINT_FILE_NAME
| [
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] | 3.134021 | 97 |
# Simple GPS datalogging demonstration.
# This example uses the GPS library and to read raw NMEA sentences
# over I2C or UART from the GPS unit and dumps them to a file on an SD card
# (recommended), microcontroller internal storage (be careful as only a few
# kilobytes are available), or to a filesystem.
# If you are using a microcontroller, before writing to internal storage you
# MUST carefully follow the steps in this guide to enable writes to the
# internal filesystem:
# https://learn.adafruit.com/adafruit-ultimate-gps-featherwing/circuitpython-library
import board
import busio
import adafruit_gps
# Path to the file to log GPS data. By default this will be appended to
# which means new lines are added at the end and all old data is kept.
# Change this path to point at internal storage (like '/gps.txt') or SD
# card mounted storage ('/sd/gps.txt') as desired.
LOG_FILE = "gps.txt" # Example for writing to internal path gps.txt
# File more for opening the log file. Mode 'ab' means append or add new lines
# to the end of the file rather than erasing it and starting over. If you'd
# like to erase the file and start clean each time use the value 'wb' instead.
LOG_MODE = "ab"
# If writing to SD card on a microcontroller customize and uncomment these
# lines to import the necessary library and initialize the SD card:
# NOT for use with a single board computer like Raspberry Pi!
"""
import adafruit_sdcard
import digitalio
import storage
SD_CS_PIN = board.D10 # CS for SD card using Adalogger Featherwing
spi = busio.SPI(board.SCK, MOSI=board.MOSI, MISO=board.MISO)
sd_cs = digitalio.DigitalInOut(SD_CS_PIN)
sdcard = adafruit_sdcard.SDCard(spi, sd_cs)
vfs = storage.VfsFat(sdcard)
storage.mount(vfs, '/sd') # Mount SD card under '/sd' path in filesystem.
LOG_FILE = '/sd/gps.txt' # Example for writing to SD card path /sd/gps.txt
"""
# Create a serial connection for the GPS connection using default speed and
# a slightly higher timeout (GPS modules typically update once a second).
# These are the defaults you should use for the GPS FeatherWing.
# For other boards set RX = GPS module TX, and TX = GPS module RX pins.
uart = busio.UART(board.TX, board.RX, baudrate=9600, timeout=10)
# If using a USB/Serial converter, use pyserial and update the serial
# port name to match the serial connection for the GPS!
# import serial
# uart = serial.Serial("/dev/ttyUSB0", baudrate=9600, timeout=10)
# If using I2C, we'll create an I2C interface to talk to using default pins
# i2c = board.I2C()
# Create a GPS module instance.
gps = adafruit_gps.GPS(uart) # Use UART/pyserial
# gps = adafruit_gps.GPS_GtopI2C(i2c) # Use I2C interface
# Main loop just reads data from the GPS module and writes it back out to
# the output file while also printing to serial output.
with open(LOG_FILE, LOG_MODE) as outfile:
while True:
sentence = gps.readline()
if not sentence:
continue
print(str(sentence, "ascii").strip())
outfile.write(sentence)
outfile.flush()
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] | 3.003861 | 1,036 |
from graph_editor import GraphEditor
from category_object import CategoryObject
from category_arrow import CategoryArrow
from qt_tools import simpleMaxContrastingColor, Pen, firstParentGfxItemOfType
from PyQt5.QtGui import QTransform
from PyQt5.QtWidgets import QMenu
import re
from PyQt5.QtCore import Qt
from graph_arrow import ControlPoint
from category_diagram import CategoryDiagram
from functor import Functor
from commands import MethodCallCommand, DeleteItemsCommand
from op_functor import OpFunctor
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] | 3.466667 | 150 |
from contextlib import contextmanager
from mock import patch
from mock import DEFAULT
import six
import time
from threading import Event
@contextmanager
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] | 4.4 | 35 |
import data_preparation
from bokeh.models import ColumnDataSource, BooleanFilter, CDSView
from bokeh.plotting import figure
from bokeh.io import curdoc
from bokeh.palettes import Category20c
from bokeh.models.formatters import NumeralTickFormatter
from bokeh.models.widgets import (
Panel, Tabs, DataTable, TableColumn, DateFormatter
)
from bokeh.layouts import row
from bokeh.events import Tap
import itertools
import pandas as pd
def get_cycled_list(iterable, length):
""" returns cycled list of fixed length
"""
cycled = itertools.cycle(iterable)
sliced = itertools.islice(cycled, 0, length)
return list(sliced)
# get data and prepare monthly data by category
expenses_df = data_preparation.get_expenses_df()
monthly_category_df = expenses_df.groupby('Category').resample('BMS').sum()
monthly_category_df = monthly_category_df.Cost.unstack(level=0)
monthly_category_df = monthly_category_df.fillna(0)
monthly_category_source = ColumnDataSource(monthly_category_df)
col_names = monthly_category_df.columns.tolist()
print('\nMonthly data by category\n', monthly_category_df.head())
# TODO make color-selection more understandable
palette = Category20c[20]
main_color_idxs = [0, 4, 8, 12, 16]
category_colors = [palette[i+2] for i in main_color_idxs]
category_colors = get_cycled_list(category_colors, len(col_names))
# create monthly bars of stacked categories
monthly_overview = MonthlyGraph()
monthly_overview.vbar_stack(stackers=col_names, x='Date',
width=2e9, color=category_colors,
source=monthly_category_source,
legend_label=col_names)
expenses_source = ColumnDataSource(expenses_df)
expenses_table = get_expenses_table()
overview_row = row([monthly_overview, expenses_table],
sizing_mode='stretch_both')
overview_panel = Panel(
child=overview_row,
title='Overview')
def bar_tap_callback(event):
"""
update the expenses table to show only entries of the selected month
"""
# TODO when no bar is selected list index out of range
try:
selected = monthly_category_source.selected.indices[-1]
print(selected)
selected_month = monthly_category_df.index[selected].month
except IndexError:
selected_month = None
expenses_table = get_expenses_table(selected_month)
overview_row.children[1] = expenses_table
monthly_overview.on_event(Tap, bar_tap_callback)
panels = [overview_panel]
# make single-category plots, and group the data by subcategories
main_color_idxs_cycled = itertools.cycle(main_color_idxs)
for category in col_names:
subcat_df = expenses_df[expenses_df['Category'] == category]
monthly_subcat_df = subcat_df.groupby('Subcategory').resample('BMS').sum()
monthly_subcat_df = monthly_subcat_df.Cost.unstack(level=0)
monthly_subcat_df = monthly_subcat_df.fillna(0)
subcat_source = (ColumnDataSource(monthly_subcat_df))
subcats = monthly_subcat_df.columns.tolist()
color_idx = next(main_color_idxs_cycled)
colors = palette[color_idx:color_idx+4]
colors = get_cycled_list(colors, len(subcats))
p = MonthlyGraph()
p.vbar_stack(stackers=subcats, x='Date', width=2e9,
color=colors, line_color='white',
source=subcat_source,
legend_label=subcats)
expenses_table = get_expenses_table(category=category)
subcat_row = row([p, expenses_table], sizing_mode='stretch_both')
panel = Panel(
child=subcat_row,
title=category)
def bar_tap_callback_subcat(event, subcat_source=subcat_source,
monthly_subcat_df=monthly_subcat_df,
subcat_row=subcat_row):
"""
update the expenses table to show only entries of the selected month
"""
# TODO does not work for panels because monthly subcat source
# get overwritten in each pass through the loop. source needs
# to be created as a list and then referenced by index
print(subcat_source.selected.indices)
try:
selected = subcat_source.selected.indices[-1]
print(selected)
selected_month = monthly_subcat_df.index[selected].month
except IndexError:
selected_month = None
expenses_table = get_expenses_table(selected_month, category)
subcat_row.children[1] = expenses_table
p.on_event(Tap, bar_tap_callback_subcat)
panels.append(panel)
tabs = Tabs(tabs=panels)
curdoc().title = 'Bokehwise'
curdoc().add_root(tabs)
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] | 2.510082 | 1,835 |
# Importing the libraries
import matplotlib.pyplot as plt
import torch
from torch.autograd import Variable
import numpy as np
from collections import namedtuple, deque
#This step/experience includes the state of game, action performed, the reward for the state
# whether the game had ended after this state and the LSTM values
Step = namedtuple('Step', ['state', 'action', 'reward', 'done', 'lstm']) #This is a storage of one step that our agent performs
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1'
wide, tall = 25, 6
img = split(data)
bm = wide * tall
it = int(len(img) / bm)
layer_zeros = {}
for i in range(it):
layer = img[(bm*i):(bm*(i+1))]
print((bm*i),(bm*(i+1)))
zeros = 0
for num in layer:
if num == 0:
zeros += 1
layer_zeros[i] = zeros
min_layer = 0
minl = layer_zeros[0]
for k, v in layer_zeros.items():
if minl > v:
min_layer = k
minl = v
layer = img[(bm*min_layer):(bm*(min_layer+1))]
num_1 = 0
num_2 = 0
for num in layer:
if num == 1:
num_1 += 1
elif num == 2:
num_2 += 1
print(num_1 * num_2) | [
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] | 2.324708 | 6,686 |
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from rest_framework.authtoken.models import Token
# Create your models here.
@receiver(post_save, sender='auth.User')
@receiver(post_save, sender='auth.User')
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] | 3.267442 | 86 |
# coding: utf-8
"""
App::Netdisco
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 2.050003
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from openapi_netdisco.api_client import ApiClient
from openapi_netdisco.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class ReportsApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def api_v1_report_device_deviceaddrnodns_get(self, **kwargs): # noqa: E501
"""api_v1_report_device_deviceaddrnodns_get # noqa: E501
Addresses without DNS Entries Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_deviceaddrnodns_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_device_deviceaddrnodns_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_device_deviceaddrnodns_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_device_deviceaddrnodns_get # noqa: E501
Addresses without DNS Entries Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_deviceaddrnodns_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_device_deviceaddrnodns_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/device/deviceaddrnodns', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_device_devicebylocation_get(self, **kwargs): # noqa: E501
"""api_v1_report_device_devicebylocation_get # noqa: E501
By Location Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_devicebylocation_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_device_devicebylocation_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_device_devicebylocation_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_device_devicebylocation_get # noqa: E501
By Location Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_devicebylocation_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_device_devicebylocation_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/device/devicebylocation', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_device_devicednsmismatch_get(self, **kwargs): # noqa: E501
"""api_v1_report_device_devicednsmismatch_get # noqa: E501
Device Name / DNS Mismatches Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_devicednsmismatch_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_device_devicednsmismatch_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_device_devicednsmismatch_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_device_devicednsmismatch_get # noqa: E501
Device Name / DNS Mismatches Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_devicednsmismatch_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_device_devicednsmismatch_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/device/devicednsmismatch', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_device_devicepoestatus_get(self, **kwargs): # noqa: E501
"""api_v1_report_device_devicepoestatus_get # noqa: E501
Power over Ethernet (PoE) Status Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_devicepoestatus_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_device_devicepoestatus_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_device_devicepoestatus_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_device_devicepoestatus_get # noqa: E501
Power over Ethernet (PoE) Status Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_devicepoestatus_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_device_devicepoestatus_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/device/devicepoestatus', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_device_portutilization_get(self, **kwargs): # noqa: E501
"""api_v1_report_device_portutilization_get # noqa: E501
Port Utilization Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_portutilization_get(async_req=True)
>>> result = thread.get()
:param age_num: Mark as Free if down for (quantity)
:type age_num: str
:param age_unit: Mark as Free if down for (period)
:type age_unit: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: list[PortUtilization]
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_device_portutilization_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_device_portutilization_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_device_portutilization_get # noqa: E501
Port Utilization Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_device_portutilization_get_with_http_info(async_req=True)
>>> result = thread.get()
:param age_num: Mark as Free if down for (quantity)
:type age_num: str
:param age_unit: Mark as Free if down for (period)
:type age_unit: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(list[PortUtilization], status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'age_num',
'age_unit'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_device_portutilization_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'age_num' in local_var_params and local_var_params['age_num'] is not None: # noqa: E501
query_params.append(('age_num', local_var_params['age_num'])) # noqa: E501
if 'age_unit' in local_var_params and local_var_params['age_unit'] is not None: # noqa: E501
query_params.append(('age_unit', local_var_params['age_unit'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {
200: "list[PortUtilization]",
}
return self.api_client.call_api(
'/api/v1/report/device/portutilization', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_ip_ipinventory_get(self, **kwargs): # noqa: E501
"""api_v1_report_ip_ipinventory_get # noqa: E501
IP Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_ip_ipinventory_get(async_req=True)
>>> result = thread.get()
:param subnet: IP Prefix to search
:type subnet: str
:param daterange: Date range to search
:type daterange: str
:param age_invert: Results should NOT be within daterange
:type age_invert: bool
:param limit: Maximum number of historical records
:type limit: str
:param never: Include in the report IPs never seen
:type never: bool
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_ip_ipinventory_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_ip_ipinventory_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_ip_ipinventory_get # noqa: E501
IP Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_ip_ipinventory_get_with_http_info(async_req=True)
>>> result = thread.get()
:param subnet: IP Prefix to search
:type subnet: str
:param daterange: Date range to search
:type daterange: str
:param age_invert: Results should NOT be within daterange
:type age_invert: bool
:param limit: Maximum number of historical records
:type limit: str
:param never: Include in the report IPs never seen
:type never: bool
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
'subnet',
'daterange',
'age_invert',
'limit',
'never'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_ip_ipinventory_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'subnet' in local_var_params and local_var_params['subnet'] is not None: # noqa: E501
query_params.append(('subnet', local_var_params['subnet'])) # noqa: E501
if 'daterange' in local_var_params and local_var_params['daterange'] is not None: # noqa: E501
query_params.append(('daterange', local_var_params['daterange'])) # noqa: E501
if 'age_invert' in local_var_params and local_var_params['age_invert'] is not None: # noqa: E501
query_params.append(('age_invert', local_var_params['age_invert'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'never' in local_var_params and local_var_params['never'] is not None: # noqa: E501
query_params.append(('never', local_var_params['never'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/ip/ipinventory', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_ip_subnets_get(self, **kwargs): # noqa: E501
"""api_v1_report_ip_subnets_get # noqa: E501
Subnet Utilization Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_ip_subnets_get(async_req=True)
>>> result = thread.get()
:param subnet: IP Prefix to search
:type subnet: str
:param daterange: Date range to search
:type daterange: str
:param age_invert: Results should NOT be within daterange
:type age_invert: bool
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_ip_subnets_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_ip_subnets_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_ip_subnets_get # noqa: E501
Subnet Utilization Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_ip_subnets_get_with_http_info(async_req=True)
>>> result = thread.get()
:param subnet: IP Prefix to search
:type subnet: str
:param daterange: Date range to search
:type daterange: str
:param age_invert: Results should NOT be within daterange
:type age_invert: bool
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
'subnet',
'daterange',
'age_invert'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_ip_subnets_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'subnet' in local_var_params and local_var_params['subnet'] is not None: # noqa: E501
query_params.append(('subnet', local_var_params['subnet'])) # noqa: E501
if 'daterange' in local_var_params and local_var_params['daterange'] is not None: # noqa: E501
query_params.append(('daterange', local_var_params['daterange'])) # noqa: E501
if 'age_invert' in local_var_params and local_var_params['age_invert'] is not None: # noqa: E501
query_params.append(('age_invert', local_var_params['age_invert'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/ip/subnets', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_node_nodemultiips_get(self, **kwargs): # noqa: E501
"""api_v1_report_node_nodemultiips_get # noqa: E501
Nodes with multiple active IP addresses Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_node_nodemultiips_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_node_nodemultiips_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_node_nodemultiips_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_node_nodemultiips_get # noqa: E501
Nodes with multiple active IP addresses Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_node_nodemultiips_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_node_nodemultiips_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/node/nodemultiips', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_node_nodesdiscovered_get(self, **kwargs): # noqa: E501
"""api_v1_report_node_nodesdiscovered_get # noqa: E501
Nodes discovered through LLDP/CDP Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_node_nodesdiscovered_get(async_req=True)
>>> result = thread.get()
:param remote_id: Host Name reported
:type remote_id: str
:param remote_type: Platform reported
:type remote_type: str
:param aps: Include Wireless APs in the report
:type aps: bool
:param phones: Include IP Phones in the report
:type phones: bool
:param matchall: Match all parameters (true) or any (false)
:type matchall: bool
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_node_nodesdiscovered_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_node_nodesdiscovered_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_node_nodesdiscovered_get # noqa: E501
Nodes discovered through LLDP/CDP Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_node_nodesdiscovered_get_with_http_info(async_req=True)
>>> result = thread.get()
:param remote_id: Host Name reported
:type remote_id: str
:param remote_type: Platform reported
:type remote_type: str
:param aps: Include Wireless APs in the report
:type aps: bool
:param phones: Include IP Phones in the report
:type phones: bool
:param matchall: Match all parameters (true) or any (false)
:type matchall: bool
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
'remote_id',
'remote_type',
'aps',
'phones',
'matchall'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_node_nodesdiscovered_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'remote_id' in local_var_params and local_var_params['remote_id'] is not None: # noqa: E501
query_params.append(('remote_id', local_var_params['remote_id'])) # noqa: E501
if 'remote_type' in local_var_params and local_var_params['remote_type'] is not None: # noqa: E501
query_params.append(('remote_type', local_var_params['remote_type'])) # noqa: E501
if 'aps' in local_var_params and local_var_params['aps'] is not None: # noqa: E501
query_params.append(('aps', local_var_params['aps'])) # noqa: E501
if 'phones' in local_var_params and local_var_params['phones'] is not None: # noqa: E501
query_params.append(('phones', local_var_params['phones'])) # noqa: E501
if 'matchall' in local_var_params and local_var_params['matchall'] is not None: # noqa: E501
query_params.append(('matchall', local_var_params['matchall'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/node/nodesdiscovered', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_duplexmismatch_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_duplexmismatch_get # noqa: E501
Duplex Mismatches Between Devices Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_duplexmismatch_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_duplexmismatch_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_duplexmismatch_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_duplexmismatch_get # noqa: E501
Duplex Mismatches Between Devices Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_duplexmismatch_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_duplexmismatch_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/duplexmismatch', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_halfduplex_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_halfduplex_get # noqa: E501
Ports in Half Duplex Mode Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_halfduplex_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_halfduplex_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_halfduplex_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_halfduplex_get # noqa: E501
Ports in Half Duplex Mode Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_halfduplex_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_halfduplex_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/halfduplex', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_portadmindown_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_portadmindown_get # noqa: E501
Ports administratively disabled Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portadmindown_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_portadmindown_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_portadmindown_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_portadmindown_get # noqa: E501
Ports administratively disabled Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portadmindown_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_portadmindown_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/portadmindown', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_portblocking_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_portblocking_get # noqa: E501
Ports that are blocking Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portblocking_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_portblocking_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_portblocking_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_portblocking_get # noqa: E501
Ports that are blocking Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portblocking_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_portblocking_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/portblocking', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_portmultinodes_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_portmultinodes_get # noqa: E501
Ports with multiple nodes attached Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portmultinodes_get(async_req=True)
>>> result = thread.get()
:param vlan: Filter by VLAN
:type vlan: int
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_portmultinodes_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_portmultinodes_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_portmultinodes_get # noqa: E501
Ports with multiple nodes attached Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portmultinodes_get_with_http_info(async_req=True)
>>> result = thread.get()
:param vlan: Filter by VLAN
:type vlan: int
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
'vlan'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_portmultinodes_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'vlan' in local_var_params and local_var_params['vlan'] is not None: # noqa: E501
query_params.append(('vlan', local_var_params['vlan'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/portmultinodes', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_portserrordisabled_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_portserrordisabled_get # noqa: E501
Error Disabled Ports Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portserrordisabled_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_portserrordisabled_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_portserrordisabled_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_portserrordisabled_get # noqa: E501
Error Disabled Ports Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portserrordisabled_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_portserrordisabled_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/portserrordisabled', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_portssid_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_portssid_get # noqa: E501
Port SSID Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portssid_get(async_req=True)
>>> result = thread.get()
:param ssid: Get details for this SSID
:type ssid: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_portssid_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_portssid_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_portssid_get # noqa: E501
Port SSID Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portssid_get_with_http_info(async_req=True)
>>> result = thread.get()
:param ssid: Get details for this SSID
:type ssid: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
'ssid'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_portssid_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'ssid' in local_var_params and local_var_params['ssid'] is not None: # noqa: E501
query_params.append(('ssid', local_var_params['ssid'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/portssid', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_port_portvlanmismatch_get(self, **kwargs): # noqa: E501
"""api_v1_report_port_portvlanmismatch_get # noqa: E501
Port VLAN Mismatches Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portvlanmismatch_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_port_portvlanmismatch_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_port_portvlanmismatch_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_port_portvlanmismatch_get # noqa: E501
Port VLAN Mismatches Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_port_portvlanmismatch_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_port_portvlanmismatch_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/port/portvlanmismatch', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_vlan_vlaninventory_get(self, **kwargs): # noqa: E501
"""api_v1_report_vlan_vlaninventory_get # noqa: E501
VLAN Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_vlan_vlaninventory_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_vlan_vlaninventory_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_vlan_vlaninventory_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_vlan_vlaninventory_get # noqa: E501
VLAN Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_vlan_vlaninventory_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_vlan_vlaninventory_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/vlan/vlaninventory', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_wireless_apchanneldist_get(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_apchanneldist_get # noqa: E501
Access Point Channel Distribution Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_apchanneldist_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_wireless_apchanneldist_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_wireless_apchanneldist_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_apchanneldist_get # noqa: E501
Access Point Channel Distribution Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_apchanneldist_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_wireless_apchanneldist_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/wireless/apchanneldist', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_wireless_apclients_get(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_apclients_get # noqa: E501
Access Point Client Count Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_apclients_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_wireless_apclients_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_wireless_apclients_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_apclients_get # noqa: E501
Access Point Client Count Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_apclients_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_wireless_apclients_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/wireless/apclients', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_wireless_apradiochannelpower_get(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_apradiochannelpower_get # noqa: E501
Access Point Radios Channel and Power Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_apradiochannelpower_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_wireless_apradiochannelpower_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_wireless_apradiochannelpower_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_apradiochannelpower_get # noqa: E501
Access Point Radios Channel and Power Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_apradiochannelpower_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_wireless_apradiochannelpower_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/wireless/apradiochannelpower', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def api_v1_report_wireless_ssidinventory_get(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_ssidinventory_get # noqa: E501
SSID Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_ssidinventory_get(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.api_v1_report_wireless_ssidinventory_get_with_http_info(**kwargs) # noqa: E501
def api_v1_report_wireless_ssidinventory_get_with_http_info(self, **kwargs): # noqa: E501
"""api_v1_report_wireless_ssidinventory_get # noqa: E501
SSID Inventory Report # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api_v1_report_wireless_ssidinventory_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method api_v1_report_wireless_ssidinventory_get" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['APIKeyHeader'] # noqa: E501
response_types_map = {}
return self.api_client.call_api(
'/api/v1/report/wireless/ssidinventory', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_types_map=response_types_map,
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
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220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
29851,
77,
375,
5907,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
29851,
77,
375,
5907,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
25202,
14,
25202,
29851,
77,
375,
5907,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
2750,
13397,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
2750,
13397,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
1525,
24886,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
25202,
14,
25202,
1525,
24886,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
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85,
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25202,
62,
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77,
5796,
1042,
963,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
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220,
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25,
412,
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4480,
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7,
944,
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12429,
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220,
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412,
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37227,
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85,
16,
62,
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25202,
62,
7959,
3711,
77,
5796,
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62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
16232,
6530,
1220,
18538,
337,
1042,
20981,
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220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
7959,
3711,
77,
5796,
1042,
963,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
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220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
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220,
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220,
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307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
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220,
220,
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220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
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220,
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220,
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220,
220,
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220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
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220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
25202,
7501,
395,
7240,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
25202,
14,
25202,
7501,
395,
7240,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
4347,
7273,
346,
1634,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2479,
62,
22510,
25,
2940,
355,
3232,
611,
866,
329,
357,
40972,
414,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2479,
62,
22510,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2479,
62,
20850,
25,
2940,
355,
3232,
611,
866,
329,
357,
41007,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2479,
62,
20850,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
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220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
1351,
58,
13924,
18274,
346,
1634,
60,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
4347,
7273,
346,
1634,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2479,
62,
22510,
25,
2940,
355,
3232,
611,
866,
329,
357,
40972,
414,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2479,
62,
22510,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2479,
62,
20850,
25,
2940,
355,
3232,
611,
866,
329,
357,
41007,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2479,
62,
20850,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
46545,
7,
4868,
58,
13924,
18274,
346,
1634,
4357,
3722,
62,
8189,
7,
600,
828,
24697,
7,
40717,
39681,
35,
713,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
496,
62,
22510,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
496,
62,
20850,
6,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
25202,
62,
634,
22602,
1634,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
496,
62,
22510,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
496,
62,
22510,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
496,
62,
22510,
3256,
1957,
62,
7785,
62,
37266,
17816,
496,
62,
22510,
20520,
4008,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
496,
62,
20850,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
496,
62,
20850,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
496,
62,
20850,
3256,
1957,
62,
7785,
62,
37266,
17816,
496,
62,
20850,
20520,
4008,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
14626,
13639,
4600,
38855,
63,
198,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
17816,
38855,
20520,
796,
2116,
13,
15042,
62,
16366,
13,
19738,
62,
25677,
62,
13635,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37250,
31438,
14,
17752,
6,
12962,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
939,
25,
366,
4868,
58,
13924,
18274,
346,
1634,
60,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
1782,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
25202,
14,
634,
22602,
1634,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
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1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7266,
3262,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
67,
729,
858,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
496,
62,
259,
1851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
32374,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
12081,
6,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
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220,
220,
220,
220,
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220,
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220,
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220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
541,
62,
541,
24807,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
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220,
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1957,
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4947,
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687,
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3108,
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12405,
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3262,
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1957,
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1957,
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25,
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412,
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12405,
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33295,
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1957,
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1957,
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6284,
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2882,
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19199,
62,
8899,
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220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
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198,
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220,
220,
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31051,
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14,
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14,
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14,
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24807,
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3108,
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1767,
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3696,
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16624,
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33692,
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30351,
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4808,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
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220,
220,
220,
220,
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1366,
13,
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1058,
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25,
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11,
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198,
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1058,
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62,
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4634,
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220,
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220,
220,
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220,
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220,
220,
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220,
220,
220,
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220,
1271,
2810,
11,
340,
481,
307,
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26827,
13,
632,
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257,
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8,
286,
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38659,
11,
1100,
8,
640,
5269,
13,
198,
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220,
220,
220,
1058,
7783,
25,
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262,
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13,
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220,
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220,
220,
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220,
220,
220,
220,
220,
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220,
1002,
262,
2446,
318,
1444,
355,
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3481,
11,
198,
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220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
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37227,
198,
220,
220,
220,
220,
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220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
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220,
220,
220,
220,
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220,
1441,
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13,
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62,
85,
16,
62,
13116,
62,
541,
62,
7266,
45938,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
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62,
541,
62,
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45938,
62,
1136,
62,
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62,
4023,
62,
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7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
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220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
541,
62,
7266,
45938,
62,
1136,
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645,
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25,
412,
33548,
628,
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220,
220,
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220,
220,
220,
3834,
3262,
7273,
346,
1634,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
541,
62,
7266,
45938,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
850,
3262,
25,
6101,
3771,
13049,
284,
2989,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
850,
3262,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
288,
729,
858,
25,
7536,
2837,
284,
2989,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
288,
729,
858,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2479,
62,
259,
1851,
25,
15691,
815,
5626,
307,
1626,
288,
729,
858,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2479,
62,
259,
1851,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7266,
3262,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
67,
729,
858,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
496,
62,
259,
1851,
6,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
541,
62,
7266,
45938,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
7266,
3262,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
7266,
3262,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
7266,
3262,
3256,
1957,
62,
7785,
62,
37266,
17816,
7266,
3262,
20520,
4008,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
67,
729,
858,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
67,
729,
858,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
67,
729,
858,
3256,
1957,
62,
7785,
62,
37266,
17816,
67,
729,
858,
20520,
4008,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
496,
62,
259,
1851,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
496,
62,
259,
1851,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
496,
62,
259,
1851,
3256,
1957,
62,
7785,
62,
37266,
17816,
496,
62,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
17440,
62,
77,
375,
368,
586,
72,
2419,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
17440,
14,
77,
375,
368,
586,
72,
2419,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
17440,
62,
77,
4147,
15410,
2557,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
17440,
62,
77,
4147,
15410,
2557,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
399,
4147,
5071,
832,
27140,
6322,
14,
34,
6322,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
17440,
62,
77,
4147,
15410,
2557,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
6569,
62,
312,
25,
14504,
6530,
2098,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
6569,
62,
312,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
6569,
62,
4906,
25,
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2098,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
6569,
62,
4906,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
257,
862,
25,
40348,
24365,
3486,
82,
287,
262,
989,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
257,
862,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
9512,
25,
40348,
6101,
1380,
1952,
287,
262,
989,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
9512,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2872,
439,
25,
13225,
477,
10007,
357,
7942,
8,
393,
597,
357,
9562,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2872,
439,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
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220,
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220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
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220,
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220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
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220,
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220,
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220,
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220,
220,
220,
1271,
2810,
11,
340,
481,
307,
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198,
220,
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220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
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220,
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220,
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220,
220,
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220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
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220,
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220,
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1002,
262,
2446,
318,
1444,
355,
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3481,
11,
198,
220,
220,
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5860,
262,
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13,
198,
220,
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220,
220,
220,
220,
1058,
81,
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25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
17440,
62,
77,
4147,
15410,
2557,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
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1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
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40391,
62,
85,
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17440,
62,
77,
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15410,
2557,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
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944,
11,
12429,
46265,
22046,
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220,
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645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
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62,
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62,
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62,
77,
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15410,
2557,
62,
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25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
399,
4147,
5071,
832,
27140,
6322,
14,
34,
6322,
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645,
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33548,
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770,
2446,
1838,
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14626,
2581,
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39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
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28,
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628,
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13163,
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6530,
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220,
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220,
220,
1058,
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312,
25,
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1058,
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25,
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220,
220,
220,
220,
220,
1058,
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6569,
62,
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25,
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220,
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220,
220,
220,
220,
220,
1058,
17143,
257,
862,
25,
40348,
24365,
3486,
82,
287,
262,
989,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
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25,
20512,
198,
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220,
220,
220,
220,
220,
220,
1058,
17143,
9512,
25,
40348,
6101,
1380,
1952,
287,
262,
989,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
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9512,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2872,
439,
25,
13225,
477,
10007,
357,
7942,
8,
393,
597,
357,
9562,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2872,
439,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
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24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
47960,
62,
312,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
47960,
62,
4906,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
1686,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
9708,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
15699,
439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
17440,
62,
77,
4147,
15410,
2557,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
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1619,
1957,
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37266,
17816,
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22046,
20520,
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220,
220,
220,
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220,
4947,
62,
687,
1381,
796,
23884,
628,
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220,
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220,
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3108,
62,
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23884,
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12405,
62,
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17635,
198,
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6,
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1957,
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1957,
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17816,
47960,
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407,
6045,
25,
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412,
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220,
220,
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220,
220,
220,
12405,
62,
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13,
33295,
7,
10786,
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62,
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3256,
1957,
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1957,
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1767,
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4634,
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6284,
62,
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37250,
17614,
9218,
39681,
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220,
220,
198,
220,
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220,
220,
220,
220,
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2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
646,
11141,
76,
1042,
963,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
646,
11141,
76,
1042,
963,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
30824,
287,
13139,
37916,
2588,
10363,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
30824,
287,
13139,
37916,
2588,
10363,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
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62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
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13,
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220,
220,
220,
220,
220,
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30351,
62,
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25,
10127,
284,
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262,
2581,
355,
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3481,
13,
198,
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220,
220,
220,
220,
220,
220,
1058,
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25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
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4808,
7783,
62,
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7890,
62,
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25,
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1366,
1231,
1182,
3722,
2438,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
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220,
220,
220,
220,
220,
220,
1058,
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4808,
7783,
62,
4023,
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62,
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20512,
11,
11902,
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220,
220,
220,
220,
220,
220,
1058,
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4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
13959,
646,
11141,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
13959,
646,
11141,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
30824,
6863,
9404,
10058,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
30824,
6863,
9404,
10058,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
324,
10155,
593,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
634,
324,
10155,
593,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
30824,
326,
389,
12013,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
30824,
326,
389,
12013,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
41938,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
634,
41938,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
16680,
259,
4147,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
85,
9620,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
85,
9620,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
85,
9620,
3256,
1957,
62,
7785,
62,
37266,
17816,
85,
9620,
20520,
4008,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
634,
16680,
259,
4147,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
13047,
43201,
30824,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
13047,
43201,
30824,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
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220,
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220,
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220,
220,
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220,
220,
220,
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220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
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220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
2655,
81,
585,
271,
4510,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
634,
2655,
81,
585,
271,
4510,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
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18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
4347,
6723,
2389,
35772,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
264,
30255,
25,
3497,
3307,
329,
428,
6723,
2389,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
264,
30255,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
4347,
6723,
2389,
35772,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
264,
30255,
25,
3497,
3307,
329,
428,
6723,
2389,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
264,
30255,
25,
965,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
824,
312,
6,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
634,
62,
634,
824,
312,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
611,
705,
824,
312,
6,
287,
1957,
62,
7785,
62,
37266,
290,
1957,
62,
7785,
62,
37266,
17816,
824,
312,
20520,
318,
407,
6045,
25,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
13,
33295,
7,
10786,
824,
312,
3256,
1957,
62,
7785,
62,
37266,
17816,
824,
312,
20520,
4008,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
634,
14,
634,
824,
312,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
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220,
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220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
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220,
220,
220,
220,
220,
13163,
4704,
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40391,
13,
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634,
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9620,
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62,
1136,
62,
4480,
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4023,
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7,
292,
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62,
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28,
17821,
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198,
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13163,
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290,
24697,
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220,
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1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
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220,
220,
220,
220,
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307,
4504,
1231,
3555,
14,
12501,
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2882,
198,
220,
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1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
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220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
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220,
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220,
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220,
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220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
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220,
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220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
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220,
220,
220,
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220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
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220,
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2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
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220,
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220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
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220,
220,
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220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
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220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
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220,
220,
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220,
220,
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220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
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62,
25927,
62,
18439,
6,
198,
220,
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220,
220,
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220,
220,
220,
220,
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2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
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220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
85,
9620,
62,
85,
9620,
24807,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
85,
9620,
14,
85,
9620,
24807,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
8798,
6252,
11102,
27484,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
8798,
6252,
11102,
27484,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
3147,
710,
335,
396,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
21809,
1203,
14,
499,
3147,
710,
335,
396,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
3866,
2220,
62,
11299,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
3866,
2220,
62,
11299,
3256,
6407,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
48678,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
48678,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
28,
43681,
62,
687,
1381,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25927,
62,
18439,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
25927,
62,
18439,
6,
4008,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
8798,
6252,
20985,
2764,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
17816,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
20520,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
1174,
46265,
22046,
8,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
825,
40391,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
944,
11,
12429,
46265,
22046,
2599,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
220,
1303,
645,
20402,
25,
412,
33548,
628,
220,
220,
220,
220,
220,
220,
220,
8798,
6252,
20985,
2764,
6358,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
1838,
257,
18305,
516,
14626,
2581,
416,
4277,
13,
1675,
787,
281,
198,
220,
220,
220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
13163,
1255,
796,
4704,
13,
1136,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
30351,
62,
42180,
25,
10127,
284,
12260,
262,
2581,
355,
24871,
3481,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
30351,
62,
42180,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
2882,
1366,
1231,
1182,
3722,
2438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
290,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
48678,
25,
26827,
4634,
329,
428,
2581,
13,
1002,
530,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
26,
428,
6840,
24245,
262,
18239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
565,
2334,
62,
1136,
1,
4064,
1994,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
58,
2539,
60,
796,
1188,
198,
220,
220,
220,
220,
220,
220,
220,
1619,
1957,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
4947,
62,
687,
1381,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1296,
62,
37266,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
16624,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1767,
62,
37266,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
48191,
4634,
198,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
796,
37250,
17614,
9218,
39681,
20520,
220,
1303,
645,
20402,
25,
412,
33548,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
15042,
62,
16366,
13,
13345,
62,
15042,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31051,
15042,
14,
85,
16,
14,
13116,
14,
21809,
1203,
14,
499,
565,
2334,
3256,
705,
18851,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3108,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12405,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1767,
28,
2618,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1281,
62,
37266,
28,
687,
62,
37266,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
28,
12001,
62,
7785,
62,
16624,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2882,
62,
19199,
62,
8899,
28,
26209,
62,
19199,
62,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6284,
62,
33692,
28,
18439,
62,
33692,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30351,
62,
42180,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
292,
13361,
62,
42180,
33809,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
28,
12001,
62,
7785,
62,
37266,
13,
1136,
10786,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
33809,
220,
1303,
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13,
1675,
787,
281,
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220,
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220,
220,
220,
220,
220,
39354,
14626,
2581,
11,
3387,
1208,
30351,
62,
42180,
28,
17821,
628,
220,
220,
220,
220,
220,
220,
220,
13163,
4704,
796,
40391,
13,
15042,
62,
85,
16,
62,
13116,
62,
21809,
1203,
62,
499,
37004,
17620,
6477,
62,
1136,
62,
4480,
62,
4023,
62,
10951,
7,
292,
13361,
62,
42180,
28,
17821,
8,
198,
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220,
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13163,
1255,
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13,
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290,
24697,
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220,
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220,
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1058,
4906,
4808,
7783,
62,
4023,
62,
7890,
62,
8807,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
3866,
2220,
62,
11299,
25,
611,
10352,
11,
262,
2956,
297,
571,
18,
13,
6535,
51,
4805,
9774,
2591,
2134,
481,
198,
220,
220,
220,
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307,
4504,
1231,
3555,
14,
12501,
7656,
2882,
198,
220,
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1366,
13,
15161,
318,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
4808,
3866,
2220,
62,
11299,
25,
20512,
11,
11902,
198,
220,
220,
220,
220,
220,
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220,
1058,
17143,
4808,
25927,
62,
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25,
26827,
4634,
329,
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2581,
13,
1002,
530,
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1271,
2810,
11,
340,
481,
307,
2472,
2581,
198,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
26827,
13,
632,
460,
635,
307,
257,
5166,
357,
83,
29291,
8,
286,
198,
220,
220,
220,
220,
220,
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220,
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220,
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220,
220,
220,
220,
357,
38659,
11,
1100,
8,
640,
5269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
4808,
25927,
62,
18439,
25,
900,
284,
20957,
262,
6284,
62,
33692,
329,
281,
257,
2060,
198,
220,
220,
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2581,
26,
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6840,
24245,
262,
18239,
198,
220,
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220,
220,
287,
262,
1020,
329,
257,
2060,
2581,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
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25927,
62,
18439,
25,
8633,
11,
11902,
198,
220,
220,
220,
220,
220,
220,
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1058,
7783,
25,
16409,
262,
1255,
2134,
13,
198,
220,
220,
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220,
220,
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220,
220,
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1002,
262,
2446,
318,
1444,
355,
24871,
3481,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
5860,
262,
2581,
4704,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
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25,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1957,
62,
7785,
62,
37266,
796,
17205,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
477,
62,
37266,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
292,
13361,
62,
42180,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
62,
7783,
62,
4023,
62,
7890,
62,
8807,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
705,
62,
3866,
2220,
62,
11299,
3256,
198,
220,
220,
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220,
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220,
220,
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220,
220,
220,
220,
220,
220,
705,
62,
25927,
62,
48678,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
220,
220,
220,
220,
705,
62,
25927,
62,
18439,
6,
198,
220,
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220,
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220,
220,
220,
220,
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2361,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
1188,
287,
2237,
13,
2676,
23814,
7,
12001,
62,
7785,
62,
37266,
17816,
46265,
22046,
20520,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
407,
287,
477,
62,
37266,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5949,
72,
6030,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
30074,
281,
10059,
21179,
4578,
705,
4,
82,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
284,
2446,
40391,
62,
85,
16,
62,
13116,
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] | 2.099611 | 56,038 |
# Copyright 2020 The StackStorm Authors.
# Copyright 2019 Extreme Networks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import
import logging
import yaml
try:
from yaml import CSafeLoader as YamlSafeLoader
from yaml import CSafeDumper as YamlSafeDumper
except ImportError:
# NOTE: We install libyaml-dev in our packages so libyaml will always be available when using
# official StackStorm packages.
# Only time it may not be available is if the user is doing custom install from source or
# similar.
logging.getLogger(__name__).warn(
"libYAML C bindings are not available. This means YAML "
"parsing and serialization will be significantly slower. You are "
"strongly recommended to install libyaml (libyaml-dev package "
"on Debian). For more information, see https://pyyaml.org/wiki/LibYAML"
)
from yaml import SafeLoader as YamlSafeLoader
from yaml import SafeDumper as YamlSafeDumper
__all__ = ["ALLOWED_EXTS", "PARSER_FUNCS"]
# NOTE: We utilize CSafeLoader if available since it uses C extensions and is faster.
#
# SafeLoader / CSafeLoader are both safe to use and don't allow loading arbitrary Python objects.
#
# That's the actual class which is used internally by ``yaml.safe_load()``, but we can't use that
# method directly since we want to use C extension if available (CSafeLoader) for faster parsing.
#
# Same goes for dumper class.
#
# See pyyaml docs for details https://pyyaml.org/wiki/PyYAMLDocumentation
ALLOWED_EXTS = [".yaml", ".yml"]
PARSER_FUNCS = {".yml": yaml_safe_load, ".yaml": yaml_safe_load}
| [
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] | 3.285276 | 652 |
from .constants import *
JSON_QUOTE = '"'
JSON_WHITESPACE = [' ', '\t', '\b', '\n', '\r']
JSON_SYNTAX = [JSON_COMMA, JSON_COLON, JSON_LEFTBRACKET, JSON_RIGHTBRACKET,
JSON_LEFTBRACE, JSON_RIGHTBRACE]
FALSE_LEN = len('false')
TRUE_LEN = len('true')
NULL_LEN = len('null')
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"""
boot.py file for Pico data logging example. If this file is present when
the pico starts up, make the filesystem writeable by CircuitPython.
"""
import storage
storage.remount("/", readonly=False)
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"""Testing athenet.algorithm.derest.derivative functions.
"""
import numpy as np
import theano
import unittest
from athenet.algorithm.derest.layers.fully_connected import d_fully_connected
from athenet.algorithm.derest.layers.convolutional import d_conv
from athenet.algorithm.derest.layers.pool import d_pool
from athenet.algorithm.derest.layers.dropout import d_dropout
from athenet.algorithm.derest.layers.norm import d_norm
from athenet.algorithm.derest.layers.relu import d_relu
from athenet.algorithm.derest.layers.softmax import d_softmax
from nose.tools import assert_almost_equal
from numpy.testing import assert_array_almost_equal
from athenet.algorithm.numlike import TheanoInterval
theano.config.exception_verbosity = 'high'
if __name__ == '__main__':
unittest.main(verbosity=2, catchbreak=True)
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"""A module for housing the Cursor class.
Exported Classes:
Cursor -- Class for representing a database cursor.
"""
from collections import deque
from .statement import Statement, PreparedStatement
from .exception import Error, NotSupportedError, ProgrammingError
class Cursor(object):
"""Class for representing a database cursor.
Public Functions:
close -- Closes the cursor into the database.
callproc -- Currently not supported.
execute -- Executes an SQL operation.
executemany -- Executes the operation for each list of paramaters passed in.
fetchone -- Fetches the first row of results generated by the previous execute.
fetchmany -- Fetches the number of rows that are passed in.
fetchall -- Fetches everything generated by the previous execute.
nextset -- Currently not supported.
setinputsizes -- Currently not supported.
setoutputsize -- Currently not supported.
Private Functions:
__init__ -- Constructor for the Cursor class.
_check_closed -- Checks if the cursor is closed.
_reset -- Resets SQL transaction variables.
_execute -- Handles operations without parameters.
_executeprepared -- Handles operations with parameters.
_get_next_results -- Gets the next set of results.
"""
def __init__(self, session, prepared_statement_cache_size):
"""
Constructor for the Cursor class.
:type session EncodedSession
"""
self.session = session
""" :type : EncodedSession """
self._statement_cache = StatementCache(session, prepared_statement_cache_size)
""" :type : StatementCache """
self._result_set = None
""" :type : result_set.ResultSet """
self.closed = False
self.arraysize = 1
self.description = None
self.rowcount = -1
self.colcount = -1
self.rownumber = 0
self.__query = None
@property
def query(self):
"""Return the most recent query"""
return self.__query
def close(self):
"""Closes the cursor into the database."""
self._check_closed()
self._statement_cache.shutdown()
self._close_result_set()
self.closed = True
def _check_closed(self):
"""Checks if the cursor is closed."""
if self.closed:
raise Error("cursor is closed")
if self.session.closed:
raise Error("connection is closed")
def _close_result_set(self):
"""Close current ResultSet on client and server side"""
if self._result_set:
self._result_set.close(self.session)
self._result_set = None
def _reset(self):
"""Resets Cursor to a default SQL transaction state"""
self.description = None
self.rowcount = -1
self.colcount = -1
self._close_result_set()
def callproc(self, procname, parameters=None):
"""Currently not supported."""
if(procname is not None or parameters is not None):
raise NotSupportedError("Currently unsupported")
def execute(self, operation, parameters=None):
"""Executes an SQL operation.
The SQL operations can be with or without parameters, if parameters are included
then _executeprepared is invoked to prepare and execute the operation.
Arguments:
operation -- SQL operation to be performed.
parameters -- Additional parameters for the operation may be supplied, but these
are optional.
Returns:
None
"""
self._check_closed()
self._reset()
self.__query = operation
if parameters is None:
exec_result = self._execute(operation)
else:
exec_result = self._executeprepared(operation, parameters)
self.rowcount = exec_result.row_count
if exec_result.result > 0:
self._result_set = self.session.fetch_result_set(exec_result.statement)
self.description = self.session.fetch_result_set_description(self._result_set)
# TODO: ???
if self.rowcount < 0:
self.rowcount = -1
self.rownumber = 0
def executesqltest(self, test):
"""Executes an SQL test.
Arguments:
test -- xml string containing the SQL test to be performed.
Returns:
String containing the result in the form of xml
"""
self._check_closed()
self._reset()
self.__query = test
return self._executesqltest(test)
def _execute(self, operation):
"""Handles operations without parameters."""
# Use handle to query
return self.session.execute_statement(self._statement_cache.get_statement(), operation)
def _executeprepared(self, operation, parameters):
"""Handles operations with parameters."""
# Create a statement handle
p_statement = self._statement_cache.get_prepared_statement(operation)
if p_statement.parameter_count != len(parameters):
raise ProgrammingError("Incorrect number of parameters specified, expected %d, got %d" %
(p_statement.parameter_count, len(parameters)))
# Use handle to query
return self.session.execute_prepared_statement(p_statement, parameters)
def executemany(self, operation, seq_of_parameters):
"""Executes the operation for each list of paramaters passed in."""
self._check_closed()
p_statement = self._statement_cache.get_prepared_statement(operation)
self.session.execute_batch_prepared_statement(p_statement, seq_of_parameters)
def _executesqltest(self, operation):
"""Handles operations without parameters."""
# Use handle to query
return self.session.execute_sql_test(self._statement_cache.get_statement(), operation)
def fetchone(self):
"""Fetches the first row of results generated by the previous execute."""
self._check_closed()
if self._result_set is None:
raise Error("Previous execute did not produce any results or no call was issued yet")
self.rownumber += 1
return self._result_set.fetchone(self.session)
def fetchmany(self, size=None):
"""Fetches the number of rows that are passed in."""
self._check_closed()
if size is None:
size = self.arraysize
fetched_rows = []
num_fetched_rows = 0
while num_fetched_rows < size:
row = self.fetchone()
if row is None:
break
else:
fetched_rows.append(row)
num_fetched_rows += 1
return fetched_rows
def fetchall(self):
"""Fetches everything generated by the previous execute."""
self._check_closed()
fetched_rows = []
while True:
row = self.fetchone()
if row is None:
break
else:
fetched_rows.append(row)
return fetched_rows
def nextset(self):
"""Currently not supported."""
raise NotSupportedError("Currently unsupported")
def setinputsizes(self, sizes):
"""Currently not supported."""
pass
def setoutputsize(self, size, column=None):
"""Currently not supported."""
pass
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] | 2.501162 | 3,011 |
from .one import *
from .two import *
from .three import *
properties = [PropertyOne, PropertyTwo, PropertyThree]
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from logs import logDecorator as lD
import json
import numpy as np
import torch
from torch.nn import functional as F
from lib.agents import qNetwork as qN
import torch
config = json.load(open('../config/config.json'))
logBase = config['logging']['logBase'] + '.modules.tests.testPolicy'
@lD.log( logBase + '.testArgMax' )
@lD.log( logBase + '.allTests' )
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map_template = (
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198,
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10612,
198,
8,
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] | 1.023773 | 7,151 |
from tensordata.paper.WACV._wacv import *
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] | 2.470588 | 17 |
import numpu as np
import scipy as sp
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pdb
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"""Connectivity and cut algorithms
"""
from networkx.algorithms.connectivity.connectivity import *
from networkx.algorithms.connectivity.cuts import *
from networkx.algorithms.connectivity.stoer_wagner import *
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] | 3.459016 | 61 |
import torch
from torch import nn
import torch.nn.functional as F
import pytorch_lightning as pl
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from __future__ import annotations
import os
import typing as tp
from time import time
import httpx
from loguru import logger
from ..shared.config import config
PINATA_ENDPOINT: str = "https://api.pinata.cloud"
PINATA_API: str = config.pinata.pinata_api
PINATA_SECRET_API: str = config.pinata.pinata_secret_api
AUTH_HEADERS = {
"pinata_api_key": PINATA_API,
"pinata_secret_api_key": PINATA_SECRET_API,
}
@logger.catch(reraise=True)
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####
# custom ref handler
# If the newref is the same as the oldref except the retrieved date is `days` newer, overwrite
# the retrieved date is NOT `days` newer, keep the old ref
# If the refs are different (in any other way), overwrite with new ref
#
####
from datetime import datetime
def update_retrieved_if_new_multiple_refs(olditem, newitem, days=180, retrieved_pid='P813'):
"""
# modifies olditem in place
# any ref that does not exactly match the new proposed reference (not including retrieved) is kept
"""
def is_equal_not_retrieved(oldref, newref):
"""
Return True if the oldref == newref, NOT including any "retrieved" statements
:param oldref:
:param newref:
:return:
"""
if len(oldref) != len(newref):
return False
oldref_minus_retrieved = [x for x in oldref if x.get_prop_nr() != retrieved_pid]
newref_minus_retrieved = [x for x in newref if x.get_prop_nr() != retrieved_pid]
if not all(x in oldref_minus_retrieved for x in newref_minus_retrieved):
return False
oldref_retrieved = [x for x in oldref if x.get_prop_nr() == retrieved_pid]
newref_retrieved = [x for x in newref if x.get_prop_nr() == retrieved_pid]
if (len(newref_retrieved) != len(oldref_retrieved)):
return False
return True
def ref_overwrite(oldref, newref, days):
"""
If the newref is the same as the oldref except the retrieved date is `days` newer, return True
the retrieved date is NOT `days` newer, return False
the refs are different, return True
"""
if len(oldref) != len(newref):
return True
oldref_minus_retrieved = [x for x in oldref if x.get_prop_nr() != retrieved_pid]
newref_minus_retrieved = [x for x in newref if x.get_prop_nr() != retrieved_pid]
if not all(x in oldref_minus_retrieved for x in newref_minus_retrieved):
return True
oldref_retrieved = [x for x in oldref if x.get_prop_nr() == retrieved_pid]
newref_retrieved = [x for x in newref if x.get_prop_nr() == retrieved_pid]
if (len(newref_retrieved) != len(oldref_retrieved)) or not (
len(newref_retrieved) == len(oldref_retrieved) == 1):
return True
datefmt = '+%Y-%m-%dT%H:%M:%SZ'
retold = list([datetime.strptime(r.get_value()[0], datefmt) for r in oldref if r.get_prop_nr() == retrieved_pid])[0]
retnew = list([datetime.strptime(r.get_value()[0], datefmt) for r in newref if r.get_prop_nr() == retrieved_pid])[0]
return (retnew - retold).days >= days
newrefs = newitem.references
oldrefs = olditem.references
found_mate = [False] * len(newrefs)
for new_n, newref in enumerate(newrefs):
for old_n, oldref in enumerate(oldrefs):
if is_equal_not_retrieved(oldref, newref):
found_mate[new_n] = True
if ref_overwrite(oldref, newref, days):
oldrefs[old_n] = newref
for f_idx, f in enumerate(found_mate):
if not f:
oldrefs.append(newrefs[f_idx])
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] | 2.235133 | 1,463 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" SPL conversion functions for scikit-maad
Collection of miscelaneous functions that help to convert wav and volt data
to Sound Pressure Level (SPL in Pascal) and Leq (Continuous Equivalent SPL)
"""
#
# Authors: Juan Sebastian ULLOA <[email protected]>
# Sylvain HAUPERT <[email protected]>
#
# License: New BSD License
"""****************************************************************************
# ------------------- Load modules ---------------------------
****************************************************************************"""
# Import external modules
import numpy as np
from numpy import sum, log, log10, min, max, abs, mean, median, sqrt, diff
"""****************************************************************************
# ------------------- Functions ---------------------------
****************************************************************************"""
##### wav2volt
def wav2volt (wave, bit=16, Vadc = sqrt(2)):
"""
convert in Volt
Parameters
----------
wave : 1d ndarray of integers (directly from the wav file)
Vector containing the raw sound waveform
bit : int, optional, default is 16
Number of bits of the analog to digital converter (ADC)
Vadc : scalar, optional, default is 1Vrms = 1*sqrt(2)
Maximal voltage converted by the analog to digital convertor ADC
Returns
-------
volt : 1d ndarray of floats
Vector containing the sound waveform in volt
"""
# be sure they are ndarray
wave = np.asarray(wave)
volt = (wave/(2**(bit-1))) * Vadc
return volt
##### volt2SPL
def volt2SPL(volt, gain, sensitivity=-35, dBref=94):
"""
convert volt amplitude to instantaneous sound pressure level SPL
Parameters
----------
volt : 1d ndarray of integers floats
Vector containing the sound waveform in volt
gain : integer
Total gain applied to the sound (preamplifer + amplifier)
sensitivity : float, optional, default is -35 (dB/V)
Sensitivity of the microphone
dBref : integer, optional, default is 94 (dBSPL)
Pressure sound level used for the calibration of the microphone
(usually 94dB, sometimes 114dB)
Returns
-------
wave_SPL : 1d ndarray of floats
Vector containing the sound waveform in SPL (Sound Pressure level : Pa)
"""
# be sure they are ndarray
volt = np.asarray(volt)
# wav to instantaneous sound pressure level (SPL)
# coefficient to convert Volt into pressure (Pa)
Volt2Pa = 1/10**(sensitivity/20)
wave_SPL = volt * Volt2Pa / 10**(gain/20)
return (wave_SPL)
##### wav2SPL
def wav2SPL (wave, gain, bit=16, Vadc = sqrt(2), sensitivity=-35, dBref=94):
"""
convert wave to instantaneous sound pressure level SPL
Parameters
----------
wave : 1d ndarray of integers (directly from the wav file)
Vector containing the raw sound waveform
gain : integer
Total gain applied to the sound (preamplifer + amplifier)
bit : int, optional, default is 16
Number of bits of the analog to digital converter (ADC)
Vadc : scalar, optional, default is 1Vrms = 1*sqrt(2)
Maximal voltage converted by the analog to digital convertor ADC
sensitivity : float, optional, default is -35 (dB/V)
Sensitivity of the microphone
dBref : integer, optional, default is 94 (dBSPL)
Pressure sound level used for the calibration of the microphone
(usually 94dB, sometimes 114dB)
ReturnsdBSP
-------
wave_SPL : 1d ndarray of floats
Vector containing the sound waveform in SPL (Sound Pressure level : Pa)
"""
wave_SPL = volt2SPL(wav2volt(wave, bit, Vadc), sensitivity, gain, dBref)
return (wave_SPL)
##### SPL2dBSPL
def SPL2dBSPL (waveSPL, pRef=20e-6):
"""
convert instantaneous sound pressure level SPL to
instantaneous sound pressure level SPL in dB
Parameters
----------
wave : 1d ndarray of integers or scalar
Vector or scalar containing the SPL value (!! amplitude not energy !!)
pRef : Sound pressure reference in the medium (air : 20e-6, water : ?)
Returns
-------
wave_dBSPL : 1d ndarray of floats
Vector containing the sound waveform in dB SPL (Sound Pressure level in dB)
"""
wave_dBSPL = energy2dBSPL(waveSPL**2, pRef)
return (wave_dBSPL)
##### wav2dBSPL
def wav2dBSPL (wave, gain, Vadc = sqrt(2), bit=16, sensitivity=-35, dBref=94, pRef=20e-6):
"""
convert wave to instantaneous sound pressure level SPL in dB
Parameters
----------
wave : 1d ndarray of integers (directly from the wav file)
Vector containing the raw sound waveform
gain : integer
Total gain applied to the sound (preamplifer + amplifier)
bit : int, optional, default is 16
Number of bits of the analog to digital converter (ADC)
Vadc : scalar, optional, default is 1Vrms = 1*sqrt(2)
Maximal voltage converted by the analog to digital convertor ADC
sensitivity : float, optional, default is -35 (dB/V)
Sensitivity of the microphone
dBref : integer, optional, default is 94 (dBSPL)
Pressure sound level used for the calibration of the microphone
(usually 94dB, sometimes 114dB)
pRef : Sound pressure reference in the medium (air : 20e-6, water : ?)
Returns
-------
wave_dBSPL : 1d ndarray of floats
Vector containing the sound waveform in dB SPL (Sound Pressure level in dB)
"""
wave_SPL = wav2SPL(wave, bit, Vadc, sensitivity, gain, dBref)
wave_dBSPL = energy2dBSPL(wave_SPL**2, pRef)
return (wave_dBSPL)
# wav2Leq
def wav2Leq (wave, f, gain, Vadc=sqrt(2), bit=16, dt=1, sensitivity=-35, dBref = 94):
"""
convert wave to Equivalent Continuous Sound level (Leq)
Parameters
----------
wave : 1d ndarray of integers (directly from the wav file)
Vector containing the raw sound waveform
f : integer
Sampling frequency in Hz
gain : integer
Total gain applied to the sound (preamplifer + amplifier)
Vadc : scalar, optional, default is 1Vrms = 1*sqrt(2)
Maximal voltage converted by the analog to digital convertor ADC
bit : int, optional, default is 16
Number of bits of the analog to digital converter (ADC)
dt : float, optional, default is 1 (second)
Integration step to compute the Leq (Equivalent Continuous Sound level)
sensitivity : float, optional, default is -35 (dB/V)
Sensitivity of the microphone
dBref : integer, optional, default is 94 (dBSPL)
Pressure sound level used for the calibration of the microphone
(usually 94dB, sometimes 114dB)
Returns
-------
sig_Leq : float
Equivalent Continuous Sound level (Leq)
"""
# convert in Volt
volt = wav2volt(wave, bit, Vadc)
##### volt amplitude to Leq
# wav to RMS
dN = int(np.floor(dt*f)) # RMS period in number of points
N_RMS = int(np.floor(len(volt)/dN)) # number of RMS periods
# reduction of volt vector length
volt_1D = volt[0:dN*N_RMS]
# reshape into 2D (the duration of each row is dt)
volt_2D = volt_1D.reshape(N_RMS,dN)
# RMS
volt_RMS = sqrt(mean(volt_2D**2,axis=1))
# RMS to Leq (Equivalent Continuous Sound level)
sig_Leq = 20*log10(volt_RMS) - sensitivity + dBref - gain
return(sig_Leq)
##### wavSPL2Leq
def wavSPL2Leq (wave_SPL, f, dt=1, pRef = 20e-6):
"""
convert wave SPL to Equivalent Continuous Sound level (Leq)
Parameters
----------
wave : 1d ndarray of floats
Vector containing the sound waveform in SPL (Sound Pressure level : Pa)
f : integer
Sampling frequency in Hz
bit : int, optional, default is 16
Number of bits of the analog to digital converter (ADC)
dt : float, optional, default is 1 (second)
Integration step to compute the Leq (Equivalent Continuous Sound level)
pRef : Sound pressure reference in the medium (air : 20e-6, water : ?)
Returns
-------
sig_Leq : float
Equivalent Continuous Sound level (Leq)
"""
# be sure they are ndarray
wave_SPL = np.asarray(wave_SPL)
##### wav SPLto Leq
# wav to RMS
dN = int(np.floor(dt*f)) # RMS period in number of points
N_RMS = int(np.floor(len(wave_SPL)/dN)) # number of RMS periods
# reduction of volt vector length
wave_SPL_1D = wave_SPL[0:dN*N_RMS]
# reshape into 2D (the duration of each row is dt)
wave_SPL_2D = wave_SPL_1D.reshape(N_RMS,dN)
# RMS
wave_SPL_RMS = sqrt(mean(wave_SPL_2D**2,axis=1))# Test the current operating system
# RMS to Leq (Equivalent Continuous Sound level)
sig_Leq = 20*log10(wave_SPL_RMS/pRef)
return (sig_Leq)
##### energy2dBSPL
def energy2dBSPL(energy_SPL, pRef = 20e-6):
"""
convert energy signal (e.g. Power spectral density (PSD) or wav²)
already in SPL² into dB SPL
Parameters
----------
energy_SPL : 1d ndarray of floats
Vector containing the energy signal in SPL²
pRef : Sound pressure reference in the medium (air : 20e-6, water : ?)
Returns
-------
PSD_dBSPL : 1d ndarray of floats
Vector containing the energy signal in dB SPL
"""
# be sure they are ndarray
energy_SPL = np.asarray(energy_SPL)
# Take the log of the ratio ENERGY/pRef
energy_dBSPL = 10*log10(energy_SPL/pRef**2)
return (energy_dBSPL)
##### dBSPL2energy
def dBSPL2energy (energy_dBSPL, pRef = 20e-6):
"""
convert energy in dB SPL (e.g. PSD) into energy in SPL²
Parameters
----------
PSD_dBSPL : 1d ndarray of floats
Vector containing the energy in dB SPL
pRef : Sound pressure reference in the medium (air : 20e-6, water : ?)
Returns
-------
PSD_SPL : 1d ndarray of floats
Vector containing the energy in SPL²
"""
# be sure they are ndarray
energy_dBSPL = np.asarray(energy_dBSPL)
# SPL to energy (pressure^2) (=> Leq (Equivalent Continuous Sound level)
energy_SPL = 10**(energy_dBSPL/10)*pRef**2
return(energy_SPL)
def PSD2Leq (PSD_SPL, pRef = 20e-6):
"""
convert Power spectral density (PSD) in SPL² into
Equivalent Continuous Sound level (Leq)
Parameters
----------
PSD_SPL : 1d ndarray of floats
Vector containing the Power spectral density (PSD) already in SPL²
pRef : Sound pressure reference in the medium (air : 20e-6, water : ?)
Returns
-------
PSD_Leq : float
Equivalent Continuous Sound level (Leq)
"""
# be sure they are ndarray
PSD_SPL = np.asarray(PSD_SPL)
# Energy (pressure^2) to Leq (=> Leq (Equivalent Continuous Sound level)
# if the sum is performed on the whole PSD)
PSD_Leq = 10*log10(sum(PSD_SPL)/pRef**2)
return(PSD_Leq)
########### TEST
## Test the current operating system
if __name__ == "__main__":
# ############## Import MAAD module
from pathlib import Path # in order to be wind/linux/MacOS compatible
import os
# change the path to the current path where the script is located
# Get the current dir of the current file
dir_path = os.path.dirname(os.path.realpath('__file__'))
os.chdir(dir_path)
maad_path = Path(dir_path).parents[0]
os.sys.path.append(maad_path.as_posix())
import maad
# Sensbility microphone (for SM4 it is -35dBV)
S = -35 #dBV
# Amplification gain
G = 42 # total amplification gain : preamplifier gain = 26dB and gain = 16dB
# Reference pressure (in the air : 20µPa)
P_REF = 20e-6
# Leq integration time dt in s
deltaT = 1
#
NFFT = 512
#
bit = 16
#
Vadc = sqrt(2)
# root directory of the files
base_path = Path(__file__).parent
datadir = (base_path / "../../data/").resolve()
filename = datadir/"jura_cold_forest_jour.wav"
volt,fs = maad.sound.load(filename=filename, channel='right', detrend=False, verbose=False)
# convert sounds (wave) into SPL and subtract DC offset
volt = volt - mean(volt)
# wav -> SPL -> Leq
wav_SPL = volt2SPL(volt, sensitivity=S, gain=G, dBref=94)
wav_Leq = wavSPL2Leq(wav_SPL, f=fs, dt=deltaT)
print('Leq from volt', maad.util.linear2dB(mean(maad.util.dB2linear(wav_Leq, mode="power")),mode="power"))
# wav -> Leq
wav = volt*2**(bit-1)/Vadc
wav_Leq2 = wav2Leq(wav, f=fs, dt=deltaT, sensitivity=S, gain=G, dBref = 94)
print('Leq from wav', maad.util.linear2dB(mean(maad.util.dB2linear(wav_Leq2, mode="power")),mode="power"))
# Power Density Spetrum : PSDxx
from numpy import fft
PSD = abs(fft.fft(wav_SPL)/len(wav_SPL))**2
# average Leq from PSD
PSD_Leq3 = PSD2Leq(PSD)
print('Leq from PSD',PSD_Leq3 )
# Power Density Spetrum : PSDxx
PSDxx,tn,fn,_ = maad.sound.spectrogramPSD (wav_SPL, fs=fs, window='boxcar',
noverlap=0, nfft=NFFT,
fcrop=None, tcrop=None,
verbose=False, display=False,
savefig = None)
PSD_mean = mean(PSDxx,axis=1)
# average Leq from PSD
PSD_Leq4 = PSD2Leq(PSD_mean)
print('Leq from PSDxx spectrogram',PSD_Leq4 )
print('The difference with previous Leq is due to the average of the PSDxx along the time axis which reduces the noise contribution into the total energy ')
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7838,
10156,
656,
262,
2472,
2568,
705,
8,
628,
220,
198
] | 2.424918 | 5,827 |
import unittest
from vodem.api import total_time
| [
11748,
555,
715,
395,
198,
198,
6738,
410,
375,
368,
13,
15042,
1330,
2472,
62,
2435,
628
] | 3 | 17 |
from zeep import Client, Settings
from zeep.transports import Transport
from requests import Session
| [
6738,
41271,
538,
1330,
20985,
11,
16163,
201,
198,
6738,
41271,
538,
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201,
198,
6738,
7007,
1330,
23575,
201,
198,
201,
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201,
198
] | 3.548387 | 31 |
#
# PySNMP MIB module UMSAOL-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/UMSAOL-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:28:38 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
ModuleIdentity, TimeTicks, MibIdentifier, Unsigned32, Counter32, IpAddress, Gauge32, NotificationType, Integer32, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, Bits, iso, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "ModuleIdentity", "TimeTicks", "MibIdentifier", "Unsigned32", "Counter32", "IpAddress", "Gauge32", "NotificationType", "Integer32", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "Bits", "iso", "ObjectIdentity")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
Real64, Sint32, Sint8, String, Uint32, ibmpsgAlertOnLAN, Uint64, Datetime, Real32, Sint64, Sint16, Boolean, Uint16, Uint8 = mibBuilder.importSymbols("UMS-MIB", "Real64", "Sint32", "Sint8", "String", "Uint32", "ibmpsgAlertOnLAN", "Uint64", "Datetime", "Real32", "Sint64", "Sint16", "Boolean", "Uint16", "Uint8")
iBMPSGWatchdogTable = MibTable((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1), )
if mibBuilder.loadTexts: iBMPSGWatchdogTable.setReference('IBMPSG_Watchdog')
if mibBuilder.loadTexts: iBMPSGWatchdogTable.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogTable.setDescription('')
iBMPSGWatchdogEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1), ).setIndexNames((0, "UMSAOL-MIB", "iBMPSGWatchdogKeyIndex"))
if mibBuilder.loadTexts: iBMPSGWatchdogEntry.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogEntry.setDescription('')
iBMPSGWatchdogKeyIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 1), String()).setMaxAccess("readonly")
if mibBuilder.loadTexts: iBMPSGWatchdogKeyIndex.setReference('IBMPSG_Watchdog.KeyIndex')
if mibBuilder.loadTexts: iBMPSGWatchdogKeyIndex.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogKeyIndex.setDescription('')
iBMPSGWatchdogMonitoredDeviceId = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 2), String()).setMaxAccess("readonly")
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredDeviceId.setReference('IBMPSG_Watchdog.DeviceId')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredDeviceId.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredDeviceId.setDescription('')
iBMPSGWatchdogMonitoredEntity = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 3), Uint16()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntity.setReference('IBMPSG_Watchdog.MonitoredEntity')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntity.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntity.setDescription('')
iBMPSGWatchdogMonitoredEntityDescription = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 4), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntityDescription.setReference('IBMPSG_Watchdog.MonitoredEntityDescription')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntityDescription.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntityDescription.setDescription('')
iBMPSGWatchdogTimeoutInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 5), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogTimeoutInterval.setReference('IBMPSG_Watchdog.TimeoutInterval')
if mibBuilder.loadTexts: iBMPSGWatchdogTimeoutInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogTimeoutInterval.setDescription('')
iBMPSGWatchdogTimerResolution = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 6), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogTimerResolution.setReference('IBMPSG_Watchdog.TimerResolution')
if mibBuilder.loadTexts: iBMPSGWatchdogTimerResolution.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogTimerResolution.setDescription('')
iBMPSGWatchdogTimeOfLastExpiration = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 7), Datetime()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogTimeOfLastExpiration.setReference('IBMPSG_Watchdog.TimeOfLastExpiration')
if mibBuilder.loadTexts: iBMPSGWatchdogTimeOfLastExpiration.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogTimeOfLastExpiration.setDescription('')
iBMPSGWatchdogMonitoredEntityOnLastExpiration = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 8), Uint16()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntityOnLastExpiration.setReference('IBMPSG_Watchdog.MonitoredEntityOnLastExpiration')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntityOnLastExpiration.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogMonitoredEntityOnLastExpiration.setDescription('')
iBMPSGWatchdogActionOnExpiration = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 9), Uint16()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogActionOnExpiration.setReference('IBMPSG_Watchdog.ActionOnExpiration')
if mibBuilder.loadTexts: iBMPSGWatchdogActionOnExpiration.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogActionOnExpiration.setDescription('')
iBMPSGWatchdogMaximumTimeoutInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 10), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogMaximumTimeoutInterval.setReference('IBMPSG_Watchdog.MaximumTimeoutInterval')
if mibBuilder.loadTexts: iBMPSGWatchdogMaximumTimeoutInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogMaximumTimeoutInterval.setDescription('')
iBMPSGWatchdogMinimumTimeoutInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 11), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogMinimumTimeoutInterval.setReference('IBMPSG_Watchdog.MinimumTimeoutInterval')
if mibBuilder.loadTexts: iBMPSGWatchdogMinimumTimeoutInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogMinimumTimeoutInterval.setDescription('')
iBMPSGWatchdogEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 12), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogEnabled.setReference('IBMPSG_Watchdog.Enabled')
if mibBuilder.loadTexts: iBMPSGWatchdogEnabled.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogEnabled.setDescription('')
iBMPSGWatchdogStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 1, 1, 13), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGWatchdogStatus.setReference('IBMPSG_Watchdog.Status')
if mibBuilder.loadTexts: iBMPSGWatchdogStatus.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGWatchdogStatus.setDescription('The Status property is a string indicating the current status of the object. Various operational and non-operational statuses can be defined. Operational statuses are OK, Degraded and Pred Fail. Pred Fail indicates that an element may be functioning properly but predicting a failure in the near future. An example is a SMART-enabled hard drive. Non-operational statuses can also be specified. These are Error, Starting, Stopping and Service. The latter, Service, could apply during mirror-resilvering of a disk, reload of a user permissions list, or other administrative work. Not all such work is on-line, yet the managed element is neither OK nor in one of the other states.')
iBMPSGAlertOnLANTable = MibTable((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2), )
if mibBuilder.loadTexts: iBMPSGAlertOnLANTable.setReference('IBMPSG_AlertOnLAN')
if mibBuilder.loadTexts: iBMPSGAlertOnLANTable.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANTable.setDescription('')
iBMPSGAlertOnLANEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1), ).setIndexNames((0, "UMSAOL-MIB", "iBMPSGAlertOnLANKeyIndex"))
if mibBuilder.loadTexts: iBMPSGAlertOnLANEntry.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEntry.setDescription('')
iBMPSGAlertOnLANKeyIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 1), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANKeyIndex.setReference('IBMPSG_AlertOnLAN.KeyIndex')
if mibBuilder.loadTexts: iBMPSGAlertOnLANKeyIndex.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANKeyIndex.setDescription('')
iBMPSGAlertOnLANDestinationType = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 2), Uint16()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANDestinationType.setReference('IBMPSG_AlertOnLAN.DestinationType')
if mibBuilder.loadTexts: iBMPSGAlertOnLANDestinationType.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANDestinationType.setDescription('')
iBMPSGAlertOnLANOtherDestinationTypeDescription = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 3), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANOtherDestinationTypeDescription.setReference('IBMPSG_AlertOnLAN.OtherDestinationTypeDescription')
if mibBuilder.loadTexts: iBMPSGAlertOnLANOtherDestinationTypeDescription.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANOtherDestinationTypeDescription.setDescription('')
iBMPSGAlertOnLANAlertDestinationAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 4), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANAlertDestinationAddress.setReference('IBMPSG_AlertOnLAN.AlertDestinationAddress')
if mibBuilder.loadTexts: iBMPSGAlertOnLANAlertDestinationAddress.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANAlertDestinationAddress.setDescription('')
iBMPSGAlertOnLANMessageFormat = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 5), Uint16()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANMessageFormat.setReference('IBMPSG_AlertOnLAN.MessageFormat')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMessageFormat.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMessageFormat.setDescription('')
iBMPSGAlertOnLANOtherMessageFormatDescription = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 6), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANOtherMessageFormatDescription.setReference('IBMPSG_AlertOnLAN.OtherMessageFormatDescription')
if mibBuilder.loadTexts: iBMPSGAlertOnLANOtherMessageFormatDescription.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANOtherMessageFormatDescription.setDescription('')
iBMPSGAlertOnLANOnlySendsFixedMessage = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 7), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANOnlySendsFixedMessage.setReference('IBMPSG_AlertOnLAN.OnlySendsFixedMessage')
if mibBuilder.loadTexts: iBMPSGAlertOnLANOnlySendsFixedMessage.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANOnlySendsFixedMessage.setDescription('')
iBMPSGAlertOnLANFixedPartOfMessage = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 8), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANFixedPartOfMessage.setReference('IBMPSG_AlertOnLAN.FixedPartOfMessage')
if mibBuilder.loadTexts: iBMPSGAlertOnLANFixedPartOfMessage.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANFixedPartOfMessage.setDescription('')
iBMPSGAlertOnLANDestinationIsAckCapable = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 9), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANDestinationIsAckCapable.setReference('IBMPSG_AlertOnLAN.DestinationIsAckCapable')
if mibBuilder.loadTexts: iBMPSGAlertOnLANDestinationIsAckCapable.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANDestinationIsAckCapable.setDescription('')
iBMPSGAlertOnLANRetryCount = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 10), Uint16()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANRetryCount.setReference('IBMPSG_AlertOnLAN.RetryCount')
if mibBuilder.loadTexts: iBMPSGAlertOnLANRetryCount.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANRetryCount.setDescription('')
iBMPSGAlertOnLANEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 11), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANEnabled.setReference('IBMPSG_AlertOnLAN.Enabled')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEnabled.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEnabled.setDescription('')
iBMPSGAlertOnLANVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 12), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANVersion.setReference('IBMPSG_AlertOnLAN.Version')
if mibBuilder.loadTexts: iBMPSGAlertOnLANVersion.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANVersion.setDescription('Hardware version.')
iBMPSGAlertOnLANEventAutoClearEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 13), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANEventAutoClearEnabled.setReference('IBMPSG_AlertOnLAN.EventAutoClearEnabled')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEventAutoClearEnabled.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEventAutoClearEnabled.setDescription('')
iBMPSGAlertOnLANMaximumEventPollInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 14), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANMaximumEventPollInterval.setReference('IBMPSG_AlertOnLAN.MaximumEventPollInterval')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMaximumEventPollInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMaximumEventPollInterval.setDescription('')
iBMPSGAlertOnLANMinimumEventPollInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 15), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANMinimumEventPollInterval.setReference('IBMPSG_AlertOnLAN.MinimumEventPollInterval')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMinimumEventPollInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMinimumEventPollInterval.setDescription('')
iBMPSGAlertOnLANEventPollInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 16), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANEventPollInterval.setReference('IBMPSG_AlertOnLAN.EventPollInterval')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEventPollInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANEventPollInterval.setDescription('')
iBMPSGAlertOnLANHeartbeatEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 17), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANHeartbeatEnabled.setReference('IBMPSG_AlertOnLAN.HeartbeatEnabled')
if mibBuilder.loadTexts: iBMPSGAlertOnLANHeartbeatEnabled.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANHeartbeatEnabled.setDescription('')
iBMPSGAlertOnLANMaximumHeartbeatInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 18), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANMaximumHeartbeatInterval.setReference('IBMPSG_AlertOnLAN.MaximumHeartbeatInterval')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMaximumHeartbeatInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMaximumHeartbeatInterval.setDescription('')
iBMPSGAlertOnLANMinimumHeartbeatInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 19), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANMinimumHeartbeatInterval.setReference('IBMPSG_AlertOnLAN.MinimumHeartbeatInterval')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMinimumHeartbeatInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANMinimumHeartbeatInterval.setDescription('')
iBMPSGAlertOnLANHeartbeatInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 20), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANHeartbeatInterval.setReference('IBMPSG_AlertOnLAN.HeartbeatInterval')
if mibBuilder.loadTexts: iBMPSGAlertOnLANHeartbeatInterval.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANHeartbeatInterval.setDescription('')
iBMPSGAlertOnLANStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 2, 1, 21), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAlertOnLANStatus.setReference('IBMPSG_AlertOnLAN.Status')
if mibBuilder.loadTexts: iBMPSGAlertOnLANStatus.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAlertOnLANStatus.setDescription('The Status property is a string indicating the current status of the object. Various operational and non-operational statuses can be defined. Operational statuses are OK, Degraded and Pred Fail. Pred Fail indicates that an element may be functioning properly but predicting a failure in the near future. An example is a SMART-enabled hard drive. Non-operational statuses can also be specified. These are Error, Starting, Stopping and Service. The latter, Service, could apply during mirror-resilvering of a disk, reload of a user permissions list, or other administrative work. Not all such work is on-line, yet the managed element is neither OK nor in one of the other states.')
iBMPSGAOLEventConfigurationTable = MibTable((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3), )
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationTable.setReference('IBMPSG_AOLEventConfiguration')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationTable.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationTable.setDescription('')
iBMPSGAOLEventConfigurationEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3, 1), ).setIndexNames((0, "UMSAOL-MIB", "iBMPSGAOLEventConfigurationKeyIndex"))
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationEntry.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationEntry.setDescription('')
iBMPSGAOLEventConfigurationKeyIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3, 1, 1), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationKeyIndex.setReference('IBMPSG_AOLEventConfiguration.KeyIndex')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationKeyIndex.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationKeyIndex.setDescription('')
iBMPSGAOLEventConfigurationName = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3, 1, 2), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationName.setReference('IBMPSG_AOLEventConfiguration.Name')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationName.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationName.setDescription('')
iBMPSGAOLEventConfigurationIdentifier = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3, 1, 3), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationIdentifier.setReference('IBMPSG_AOLEventConfiguration.Identifier')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationIdentifier.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationIdentifier.setDescription('')
iBMPSGAOLEventConfigurationEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3, 1, 4), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationEnabled.setReference('IBMPSG_AOLEventConfiguration.Enabled')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationEnabled.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationEnabled.setDescription('')
iBMPSGAOLEventConfigurationActivated = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 3, 1, 5), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationActivated.setReference('IBMPSG_AOLEventConfiguration.Activated')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationActivated.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLEventConfigurationActivated.setDescription('')
iBMPSGAOLControlFunctionConfigurationTable = MibTable((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 4), )
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationTable.setReference('IBMPSG_AOLControlFunctionConfiguration')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationTable.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationTable.setDescription('')
iBMPSGAOLControlFunctionConfigurationEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 4, 1), ).setIndexNames((0, "UMSAOL-MIB", "iBMPSGAOLControlFunctionConfigurationKeyIndex"))
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationEntry.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationEntry.setDescription('')
iBMPSGAOLControlFunctionConfigurationKeyIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 4, 1, 1), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationKeyIndex.setReference('IBMPSG_AOLControlFunctionConfiguration.KeyIndex')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationKeyIndex.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationKeyIndex.setDescription('')
iBMPSGAOLControlFunctionConfigurationName = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 4, 1, 2), String()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationName.setReference('IBMPSG_AOLControlFunctionConfiguration.Name')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationName.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationName.setDescription('')
iBMPSGAOLControlFunctionConfigurationIdentifier = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 4, 1, 3), Uint32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationIdentifier.setReference('IBMPSG_AOLControlFunctionConfiguration.Identifier')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationIdentifier.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationIdentifier.setDescription('')
iBMPSGAOLControlFunctionConfigurationEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 2, 6, 159, 1, 1, 70, 4, 1, 4), Boolean()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationEnabled.setReference('IBMPSG_AOLControlFunctionConfiguration.Enabled')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationEnabled.setStatus('mandatory')
if mibBuilder.loadTexts: iBMPSGAOLControlFunctionConfigurationEnabled.setDescription('')
mibBuilder.exportSymbols("UMSAOL-MIB", iBMPSGAOLEventConfigurationEnabled=iBMPSGAOLEventConfigurationEnabled, iBMPSGAlertOnLANDestinationType=iBMPSGAlertOnLANDestinationType, iBMPSGWatchdogMonitoredEntity=iBMPSGWatchdogMonitoredEntity, iBMPSGAlertOnLANEventPollInterval=iBMPSGAlertOnLANEventPollInterval, iBMPSGAOLControlFunctionConfigurationName=iBMPSGAOLControlFunctionConfigurationName, iBMPSGWatchdogMaximumTimeoutInterval=iBMPSGWatchdogMaximumTimeoutInterval, iBMPSGAlertOnLANMaximumHeartbeatInterval=iBMPSGAlertOnLANMaximumHeartbeatInterval, iBMPSGWatchdogTimeoutInterval=iBMPSGWatchdogTimeoutInterval, iBMPSGAlertOnLANMinimumEventPollInterval=iBMPSGAlertOnLANMinimumEventPollInterval, iBMPSGAOLEventConfigurationActivated=iBMPSGAOLEventConfigurationActivated, iBMPSGWatchdogKeyIndex=iBMPSGWatchdogKeyIndex, iBMPSGAlertOnLANOnlySendsFixedMessage=iBMPSGAlertOnLANOnlySendsFixedMessage, iBMPSGAlertOnLANAlertDestinationAddress=iBMPSGAlertOnLANAlertDestinationAddress, iBMPSGAOLEventConfigurationEntry=iBMPSGAOLEventConfigurationEntry, iBMPSGAOLControlFunctionConfigurationKeyIndex=iBMPSGAOLControlFunctionConfigurationKeyIndex, iBMPSGAlertOnLANMinimumHeartbeatInterval=iBMPSGAlertOnLANMinimumHeartbeatInterval, iBMPSGWatchdogTimerResolution=iBMPSGWatchdogTimerResolution, iBMPSGAlertOnLANOtherDestinationTypeDescription=iBMPSGAlertOnLANOtherDestinationTypeDescription, iBMPSGAlertOnLANHeartbeatInterval=iBMPSGAlertOnLANHeartbeatInterval, iBMPSGAOLEventConfigurationName=iBMPSGAOLEventConfigurationName, iBMPSGWatchdogEnabled=iBMPSGWatchdogEnabled, iBMPSGAOLControlFunctionConfigurationIdentifier=iBMPSGAOLControlFunctionConfigurationIdentifier, iBMPSGWatchdogTimeOfLastExpiration=iBMPSGWatchdogTimeOfLastExpiration, iBMPSGAOLEventConfigurationTable=iBMPSGAOLEventConfigurationTable, iBMPSGAlertOnLANEntry=iBMPSGAlertOnLANEntry, iBMPSGWatchdogMonitoredDeviceId=iBMPSGWatchdogMonitoredDeviceId, iBMPSGAlertOnLANFixedPartOfMessage=iBMPSGAlertOnLANFixedPartOfMessage, iBMPSGAlertOnLANEnabled=iBMPSGAlertOnLANEnabled, iBMPSGAlertOnLANDestinationIsAckCapable=iBMPSGAlertOnLANDestinationIsAckCapable, iBMPSGWatchdogMonitoredEntityOnLastExpiration=iBMPSGWatchdogMonitoredEntityOnLastExpiration, iBMPSGAlertOnLANStatus=iBMPSGAlertOnLANStatus, iBMPSGWatchdogMinimumTimeoutInterval=iBMPSGWatchdogMinimumTimeoutInterval, iBMPSGAOLControlFunctionConfigurationEntry=iBMPSGAOLControlFunctionConfigurationEntry, iBMPSGAlertOnLANMessageFormat=iBMPSGAlertOnLANMessageFormat, iBMPSGAlertOnLANMaximumEventPollInterval=iBMPSGAlertOnLANMaximumEventPollInterval, iBMPSGAlertOnLANRetryCount=iBMPSGAlertOnLANRetryCount, iBMPSGAOLEventConfigurationKeyIndex=iBMPSGAOLEventConfigurationKeyIndex, iBMPSGAOLEventConfigurationIdentifier=iBMPSGAOLEventConfigurationIdentifier, iBMPSGAOLControlFunctionConfigurationTable=iBMPSGAOLControlFunctionConfigurationTable, iBMPSGAOLControlFunctionConfigurationEnabled=iBMPSGAOLControlFunctionConfigurationEnabled, iBMPSGAlertOnLANHeartbeatEnabled=iBMPSGAlertOnLANHeartbeatEnabled, iBMPSGWatchdogMonitoredEntityDescription=iBMPSGWatchdogMonitoredEntityDescription, iBMPSGAlertOnLANKeyIndex=iBMPSGAlertOnLANKeyIndex, iBMPSGAlertOnLANOtherMessageFormatDescription=iBMPSGAlertOnLANOtherMessageFormatDescription, iBMPSGAlertOnLANTable=iBMPSGAlertOnLANTable, iBMPSGWatchdogEntry=iBMPSGWatchdogEntry, iBMPSGWatchdogActionOnExpiration=iBMPSGWatchdogActionOnExpiration, iBMPSGWatchdogStatus=iBMPSGWatchdogStatus, iBMPSGWatchdogTable=iBMPSGWatchdogTable, iBMPSGAlertOnLANVersion=iBMPSGAlertOnLANVersion, iBMPSGAlertOnLANEventAutoClearEnabled=iBMPSGAlertOnLANEventAutoClearEnabled)
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] | 2.881649 | 9,438 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Python module for Session ops, vars, and functions exported by pybind11."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=invalid-import-order,g-bad-import-order, wildcard-import, unused-import
from tensorflow.python import pywrap_tensorflow
from tensorflow.python._pywrap_tf_session import *
from tensorflow.python._pywrap_tf_session import _TF_SetTarget
from tensorflow.python._pywrap_tf_session import _TF_SetConfig
from tensorflow.python._pywrap_tf_session import _TF_NewSessionOptions
# Convert versions to strings for Python2 and keep api_compatibility_test green.
# We can remove this hack once we remove Python2 presubmits. pybind11 can only
# return unicode for Python2 even with py::str.
# https://pybind11.readthedocs.io/en/stable/advanced/cast/strings.html#returning-c-strings-to-python
# pylint: disable=undefined-variable
__version__ = str(get_version())
__git_version__ = str(get_git_version())
__compiler_version__ = str(get_compiler_version())
__cxx11_abi_flag__ = get_cxx11_abi_flag()
__monolithic_build__ = get_monolithic_build()
# User getters to hold attributes rather than pybind11's m.attr due to
# b/145559202.
GRAPH_DEF_VERSION = get_graph_def_version()
GRAPH_DEF_VERSION_MIN_CONSUMER = get_graph_def_version_min_consumer()
GRAPH_DEF_VERSION_MIN_PRODUCER = get_graph_def_version_min_producer()
TENSOR_HANDLE_KEY = get_tensor_handle_key()
# pylint: enable=undefined-variable
# Disable pylint invalid name warnings for legacy functions.
# pylint: disable=invalid-name
# Disable pylind undefined-variable as the variable is exported in the shared
# object via pybind11.
# pylint: disable=undefined-variable
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13,
198,
2,
279,
2645,
600,
25,
15560,
28,
917,
18156,
12,
45286,
198
] | 3.386236 | 712 |
# Monarch Apartment Price Scraper
# Monarch.py
# Checks Monarch apartment webpages every hour to see if the prices have changed
import bs4
import requests
import smtplib
import time
# time between checks in seconds
sleeptime = 3600
# generic network request function that returns an array of prices
last_A4_Prices = None
last_A1D_Prices = None
currentA4Prices = getPrices("a4")
currentA1DPrices = getPrices("a1d")
if last_A4_Prices is None:
last_A4_Prices = currentA4Prices
if last_A1D_Prices is None:
last_A1D_Prices = currentA1DPrices
while True:
if last_A1D_Prices == currentA1DPrices or last_A4_Prices == currentA4Prices:
print("No price change")
if last_A1D_Prices != currentA1DPrices:
print("Price has changed!")
sendEmail("a1d")
if last_A4_Prices != currentA4Prices:
print("Price has changed!")
sendEmail("a4")
time.sleep(sleeptime) | [
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220,
220,
220,
640,
13,
42832,
7,
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7197,
457,
524,
8
] | 2.495979 | 373 |
from .gameMap import GameMap
from .lineMapFeatures import Road
from .pointMapFeatures import Settlement, City
from .tiles import Tile
| [
198,
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] | 3.970588 | 34 |
"""Fixes for CCSM4 model."""
import dask.array as da
from ..fix import Fix
from ..shared import round_coordinates
from .bnu_esm import Cl as BaseCl
Cl = BaseCl
class Csoil(Fix):
"""Fixes for Csoil."""
def fix_data(self, cube):
"""Fix data.
The data is not properly masked.
This fixes the mask.
Parameters
----------
cube : iris.cube.Cube
Input cube.
Returns
-------
iris.cube.Cube
"""
cube.data = da.ma.masked_equal(cube.core_data(), 1.e33)
return cube
Cveg = Csoil
Gpp = Csoil
class AllVars(Fix):
"""Fixes for all variables."""
def fix_metadata(self, cubes):
"""Fix data.
Some coordinate points vary for different files of this dataset (for
different time range). This fix removes these inaccuracies by rounding
the coordinates.
Parameters
----------
cubes : iris.cube.CubeList
Input cubes.
Returns
-------
iris.cube.CubeList
"""
return round_coordinates(cubes, decimals=3, coord_names=['latitude'])
class So(Fix):
"""Fixes for so."""
def fix_metadata(self, cubes):
"""Fix data.
Fixes discrepancy between declared units and real units
Parameters
----------
cubes : iris.cube.CubeList
Input cubes.
Returns
-------
iris.cube.CubeList
"""
self.get_cube_from_list(cubes).units = '1e3'
return cubes
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7,
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18,
6,
198,
220,
220,
220,
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34896,
198
] | 2.25289 | 692 |
from types import GeneratorType
from typing import List, Mapping, Union
__all__ = [
'clean_picard_style_value',
'snakecase_to_kebab_case',
'clean_picard_style_key',
'format_bedtools_params',
'format_bwa_params',
'format_dwgsim_params',
'format_fgbio_params',
'format_kraken_params',
'format_picard_params',
]
def clean_picard_style_value(value: Union[List[str], str]) -> Union[List[str], str]:
"""Clean a dictionary of Picard key-value pairs."""
if isinstance(value, (list, tuple, GeneratorType)):
return list(map(clean_picard_style_value, value)) # type: ignore
elif value is None:
return 'null'
elif value is True:
return 'true'
elif value is False:
return 'false'
else:
return value
def format_bed_key(key: str) -> str:
"""Clean a bedtools parameter key."""
return '-' + key.replace('_', '')
def snakecase_to_kebab_case(key: str) -> str:
"""Convert snake_case to kebab-case."""
return f'--{key.lower().replace("_", "-")}'
def clean_picard_style_key(key: str) -> str:
"""Clean a Picard parameter key."""
return key.upper()
def format_bedtools_params(params: Mapping) -> str:
"""Clean a dictionary of bedtools key-value pairs."""
formatted_params = ''
for key, value in params.items():
if key == 'extra':
continue
key = format_bed_key(key)
if value is True:
formatted_params += f' {key}'
elif value is False:
continue
else:
formatted_params += f' {key} {value}'
return formatted_params
def format_bwa_params(params: Mapping) -> str:
"""Clean a dictionary of bwa key-value pairs."""
formatted_params = ''
for key, value in params.items():
if key == 'extra':
continue
elif value is True:
formatted_params += f' -{key}'
elif value is False:
continue
else:
formatted_params += f' -{key} {value}'
return formatted_params
def format_dwgsim_params(params: Mapping) -> str:
"""Clean a dictionary of dwgsim key-value pairs."""
formatted_params = ''
for key, value in params.items():
if key in ('extra', 'output_prefix'):
continue
key = '1' if key == 'r1' else key
key = '2' if key == 'r2' else key
if value is True:
formatted_params += f' -{key}'
elif value is False:
continue
else:
formatted_params += f' -{key} {value}'
return formatted_params
def format_fgbio_params(params: Mapping) -> str:
"""Clean a dictionary of fgbio key-value pairs."""
formatted_params = ''
for key, value in params.items():
key = snakecase_to_kebab_case(key)
value = clean_picard_style_value(value)
if key == 'extra':
continue
elif isinstance(value, list):
formatted_params += ''.join(f' --{key}={v}' for v in value)
else:
formatted_params += f' --{key}={value}'
return formatted_params
def format_kraken_params(params: Mapping) -> str:
"""Clean a dictionary of kraken key-value pairs."""
formatted_params = ''
for key, value in params.items():
key = snakecase_to_kebab_case(key)
if key == 'extra':
continue
elif value is True:
formatted_params += f' --{key}'
elif value is False:
continue
else:
formatted_params += f' --{key} {value}'
return formatted_params
def format_picard_params(params: Mapping) -> str:
"""Clean a dictionary of picard key-value pairs."""
formatted_params = ''
for key, value in params.items():
key = clean_picard_style_key(key)
value = clean_picard_style_value(value)
if key == 'extra':
continue
elif isinstance(value, list):
formatted_params += ''.join(f' {key}={v}' for v in value)
else:
formatted_params += f' {key}={value}'
return formatted_params
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287,
1988,
8,
198,
220,
220,
220,
220,
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220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
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220,
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220,
220,
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] | 2.314543 | 1,774 |
#
# Copyright (C) 2016 Andrew Rodgers-Schatz <[email protected]>
#
# 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 this program. If not, see <http://www.gnu.org/licenses/>.
from __future__ import print_function
try:
import weechat
except Exception:
print('This script must be run under WeeChat.')
print('Get WeeChat now at: https://weechat.org/')
import_ok = False
import time
import re
SCRIPT_NAME = 'unhighlight'
SCRIPT_AUTHOR = 'xiagu'
SCRIPT_VERSION = '0.1.3'
SCRIPT_LICENSE = 'GPL3'
SCRIPT_DESC = 'Allows per-buffer specification of a regex that prevents highlights.'
def unhighlight_cb(data, modifier, modifier_data, message):
"""Check if the line matches the unhighlight regular expression, and if it does, clear the message and reprint it with the no_highlight tag added."""
if modifier_data.startswith('0x'):
# WeeChat >= 2.9
buffer, tags = modifier_data.split(';', 1)
else:
# WeeChat <= 2.8
plugin, buffer_name, tags = modifier_data.split(';', 2)
buffer = weechat.buffer_search(plugin, buffer_name)
if 'no_highlight' in tags or 'notify_none' in tags:
return message
unhighlight_regex = weechat.buffer_get_string(buffer, 'localvar_unhighlight_regex')
if not matches_unhighlight_strings(message, unhighlight_regex):
return message
# inspired by https://weechat.org/scripts/source/mass_hl_blocker.pl.html/
# this is terrible and gross but afaik there is no way to change the
# highlight message once it's set and no way to interact with a message's
# tags before highlights are checked.
weechat.prnt_date_tags(buffer, 0, "%s,no_highlight" % tags, message)
return ''
if weechat.register(SCRIPT_NAME, SCRIPT_AUTHOR, SCRIPT_VERSION, SCRIPT_LICENSE, SCRIPT_DESC, '', ''):
main()
| [
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] | 2.951128 | 798 |
#!/usr/bin/env python3
# coding: UTF-8
#---------------------------------------------------------------
# author:"Haxhimitsu"
# date :"2021/01/06"
# cite :
# sample:python3 imgtrim_gui_ver.2.0.py --input_dir ../assets/original_img/cbn_test_01/ --output_dir ../assets/sample_output/ --trim_width 32 --trim_height 64
#---------------------------------------------------------------
import keras
from keras.utils import np_utils
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.preprocessing.image import array_to_img, img_to_array, load_img
import keras.callbacks
from keras.models import Sequential, model_from_json
import numpy as np
#import pandas as pd
#from sklearn.model_selection import train_test_split
#import matplotlib.pyplot as plt
import os
class myutil:
"""
# function : careate directory
# input arg : directory path
# output : none
# func detail : if not already exist argument directory path,this function create directory.
"""
"""
# function : create network
# input arg : category number
# output : network model
# func detail : please following comments
"""
"""
# function : create dataset
# input arg : train data path,validation data path
# output : train img,train label,validation img,validation label
# func detail : please following comments
"""
"""
# function : check acc
# input arg : test image path,log directory
# output : test image predict label, score
# func detail :
# test image path example test/class1/01.png
# /02.png
# /03.png
# test/class2/01.png
# /02.png
# /03.png
# test/class3/01.png
# /02.png
# /03.png
"""
"""
# function : acc2
# input arg : network model, test img data path, log save directory
# output : none
# func detail : テスト画像のディレクトリを読み込み,学習したネットワークで分類をする
# 各々の正解ラベルに対する正答率を算出する
# testdata_architecture :test_img_path->test/class1/
"""
if __name__ == '__main__':
test = myutil()
test.sayStr("Hello") # Hello | [
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] | 2.163127 | 1,177 |
# -----------------------------------------------------------------------------
# Copyright (C) 2019-2021 The python-ndn authors
#
# This file is part of python-ndn.
#
# 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 argparse
from ...encoding import Name
from .utils import resolve_keychain, infer_obj_name
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] | 4.304348 | 207 |
# Django settings for testproject project.
from django.conf import settings
settings.configure(
ALLOWED_HOSTS=['*'],
DATABASES={
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:'
}
},
ROOT_URLCONF='tests.test_urls',
INSTALLED_APPS=(
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.staticfiles',
'django_paydirekt',
'tests',
),
PAYDIREKT=True,
PAYDIREKT_ROOT_URL='http://example.com',
PAYDIREKT_API_KEY="e81d298b-60dd-4f46-9ec9-1dbc72f5b5df",
PAYDIREKT_API_SECRET="GJlN718sQxN1unxbLWHVlcf0FgXw2kMyfRwD0mgTRME=",
)
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] | 1.879397 | 398 |
import subprocess
import os
from glob import glob
import cv2
# def printnow(s):
# sys.
tempdir= './temp_for_video'
if os.path.exists(tempdir):
print "Removing temp_for_video directory"
subprocess.call('rm -rf {0}'.format(tempdir), shell=True)
print "Creating temp_for_video directory"
os.mkdir(tempdir)
ims = glob('*.png')
ims.sort()
for i, imname in enumerate(ims):
im = cv2.imread(imname, cv2.CV_LOAD_IMAGE_GRAYSCALE)
cv2.imwrite('{0}/img{1:0>5}.png'.format(tempdir, i+1), im)
if (i+1) % 100 == 0:
print "Image", i+1
cmd = r"ffmpeg -f image2 -r 30 -q:v 2 -i ./temp_for_video/img%05d.png -y ./eye_video.mp4"
print cmd
subprocess.call(cmd, shell=True)
subprocess.call('rm -rf {0}'.format(tempdir), shell=True) | [
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8
] | 2.297546 | 326 |
from fowt_force_gen import run_fast
from fowt_force_gen import filegen
from fowt_force_gen import parse
import math
import numpy as np
import os
import argparse
def tune(water_depth, platform, output_moordyn_filename):
"""
Using metocean and platform information, generates MoorDyn .dat files with a properly tuned and positioned mooring
system so rigid body modes and frequencies match those specified in the NREL platform definition. Contains
subfunctions to:
1) Identify proper anchor coordinate (get_positions)
2) Approximate the necessary mooring line length needed in a catenary mooring system to prevent vertical force
acting on the anchor (tune_rough)
3) Fine tune the mooring line length so the free decay response of the platform matches that of the NREL
platform definition (tune_fine)
Parameters:
water_depth is an integer or float specifying the depth of the particular location of the floating platform
platform is a string specifying which platform definition to use. Currently, the two options for this are
'OC3', which selects the OC3-Hywind spar buoy platform, or 'OC4', which selects the OC4-DeepCwind
semisubmersible platform.
output_moordyn_filename is a string specifying the desired name of the generated MoorDyn DAT file.
"""
mooring = Mooring(water_depth, platform)
initial_line_length = mooring.tune_rough()
mooring.tune_fine(initial_line_length, output_moordyn_filename)
if __name__ == '__main__':
main()
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705,
4503,
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3256,
543,
40573,
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24775,
18,
12,
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7972,
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13,
198,
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220,
220,
37227,
198,
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220,
220,
285,
2675,
278,
796,
31451,
278,
7,
7050,
62,
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11,
3859,
8,
198,
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220,
220,
4238,
62,
1370,
62,
13664,
796,
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13,
83,
1726,
62,
740,
3419,
198,
220,
220,
220,
285,
2675,
278,
13,
83,
1726,
62,
38125,
7,
36733,
62,
1370,
62,
13664,
11,
5072,
62,
5908,
585,
2047,
62,
34345,
8,
628,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 3.165657 | 495 |
"""
Dictionary of supported Bitbucket events and output friendly format
"""
bitbucket_server_event_names = {
"pr:comment:added": "Pull Request: Comment Added",
"pr:comment:deleted": "Pull Request: Comment Deleted",
"pr:comment:edited": "Pull Request: Comment Edited",
"pr:opened": "Pull Request: Opened",
"pr:declined": "Pull Request: Declined",
"pr:deleted": "Pull Request: Deleted",
"pr:merged": "Pull Request: Merged",
"pr:modified": "Pull Request: Modified",
"pr:approved": "Pull Request: Approved",
"pr:unapproved": "Pull Request: Unapproved",
"repo:refs_changed": "Repository: Updated",
"repo:comment:added": "Repository: Commit Comment Added",
"repo:comment:edited": "Repository: Commit Comment Edited",
"repo:comment:deleted": "Repository: Commit Comment Deleted",
"repo:commit_comment_created": "Repository: Commit Comment Added",
"repo:forked": "Repository: Forked"
}
bitbucket_cloud_event_actions = {
"pullrequest:created": "{} created pull request {}",
"pullrequest:updated": "{} updated pull request {}",
"pullrequest:approved": ":thumbsup: {} approved pull request {}",
"pullrequest:unapproved": "{} unapproved pull request {}",
"pullrequest:merged": ":tada: {} merged pull request {}",
"pullrequest:declined": "{} declined pull request {}",
"pullrequest:deleted": "{} deleted pull request {}",
"pullrequest:comment_created": "{} added a comment to pull request {}",
"pullrequest:comment_updated": "{} updated a comment to pull request {}",
"pullrequest:comment_deleted": "{} deleted a comment to pull request {}",
"repo:push": "{} Repository: Code changes pushed by: {}"
}
| [
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220,
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25,
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92,
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220,
220,
220,
366,
260,
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25,
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1298,
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92,
1432,
13264,
25,
6127,
2458,
7121,
416,
25,
23884,
1,
198,
92,
198
] | 3.030357 | 560 |
#!/usr/local/bin/python3.6
from ipico.reader import BoxReader
if __name__ == '__main__':
main()
| [
2,
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198,
220,
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3419,
628,
628
] | 2.615385 | 39 |
from myLinkedList import *
| [
6738,
616,
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276,
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1330,
1635,
628
] | 3.5 | 8 |
# Originally auto-generated on 2021-02-15-12:14:36 -0500 EST
# By '--verbose --verbose x7.lib.shell_tools'
from unittest import TestCase
from x7.lib.annotations import tests
from x7.testing.support import Capture
from x7.lib import shell_tools
from x7.lib.shell_tools_load import ShellTool
@tests(shell_tools)
class TestModShellTools(TestCase):
"""Tests for stand-alone functions in x7.lib.shell_tools module"""
@tests(shell_tools.Dir)
@tests(shell_tools.help)
@tests(shell_tools.help)
@tests(shell_tools.tools)
| [
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220,
220,
220,
2488,
41989,
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62,
31391,
13,
31391,
8,
198
] | 2.836842 | 190 |
import pytest
from graph.graph import Graph, Vertex, Edge, Queue
| [
11748,
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198,
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628,
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] | 3.125 | 24 |
from SPARQLWrapper import SPARQLWrapper, JSON
from sparql_queries import *
import json
# Put the repository URL from Graph DB here
sparql = SPARQLWrapper(r"http://192.168.1.106:7200/repositories/tinyml2022_v2")
# Put the query here
sparql.setQuery(query_1)
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
# Print out the result
for result in results["results"]["bindings"]:
print(json.dumps(result, indent=4)) | [
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#!/usr/bin/env python
#! -*- coding: utf-8 -*-
"""Contains the base-class for all goo.gl commands."""
import apiclient.discovery
import googleapiclient.errors
import httplib2
import oauth2client.file
import os
import lnk.config
import lnk.errors
from lnk.abstract import AbstractCommand
class Command(AbstractCommand):
"""
Base-class for all goo.gl commands.
Configures the AbstractCommand base class for all commands in the
entire application, which needs information about the service being
used. Moreover fetches the oauth2 credentials for any HTTP request.
Attributes:
credentials (oauth2client.file.Storage): An object from Google's
API-library used to interact
with the oauth2 credentials
file.
"""
def __init__(self, which, credentials_path=None):
"""
Constructs a new Command.
Arguments:
which (str): The name of the command (e.g. link).
credentials_path (str): Optionally, the full path to a credentials
file. The one at lnk/config/credentials
will be chosen by default.
"""
super(Command, self).__init__('googl', which)
if credentials_path:
self.credentials_path = credentials_path
else:
self.credentials_path = os.path.join(lnk.config.CONFIG_PATH,
'.credentials')
self.credentials = oauth2client.file.Storage(self.credentials_path)
def get_api(self):
"""
Returns an API-object used to perform any request.
Returns:
An API object from Google API-library, used to perform any
HTTP request for the url-shortening API.
"""
http = self.authorize()
api = apiclient.discovery.build('urlshortener', 'v1', http=http)
return api.url()
def get(self, url, projection=None, what=None):
"""
Base method to perform an HTTP request with the GET method.
Arguments:
url (str): The short goo.gl URL for which to perform a data-request.
projection (str|None): Controls the amount of data returned for
the url (values should be either None,
such as for url-expansion, or 'FULL' to get
statistics or information about a link).
what (str): A human-readable string representing what the request
was for, such that if there is an error in the response,
an errors.HTTPError is raised with the message
'Could not <what>.' (NOT: 'even').
Return:
The requested data.
"""
api = self.get_api()
request = api.get(shortUrl=url, projection=projection)
response = self.execute(request, what)
return response
def authorize(self):
"""
Handles the authorization and re-authorization procedure.
Normally, this method will return an HTTP object from Google's httplib2
library, authorized to fetch user-specifc data by using the credentials
that were configured for the user. There are two other cases: The oauth2
access-token used to make oauth2 requests expires around-about every
hour, so if that is the case this method will first refresh the token;
if there are no credentials at all (i.e. the user did not run the 'key'
command yet), this method throws an exception.
Returns:
If all goes well, an oauth2-authorized httplib2.HTTP object.
Raises:
errors.AuthorizationError: If there are no credentials for this user
yet (the initial authorization-procedure
was not yet performed).
"""
credentials = self.credentials.get()
if not credentials:
raise lnk.errors.AuthorizationError('goo.gl')
http = httplib2.Http()
if credentials.access_token_expired:
credentials.refresh(http)
self.credentials.put(credentials)
credentials.authorize(http)
return http
@staticmethod
def execute(request, what=None):
"""
Execute an HTTP request.
The main point of this method is to catch HTTP errors raised by Google's
API-library and re-raise them as lnk.errorrs.HTTPErrors.
"""
try:
response = request.execute()
except googleapiclient.errors.HttpError:
raise lnk.errors.HTTPError('Could not {0}.'.format(what))
return response
| [
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] | 2.892651 | 1,388 |
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Nvtop(CMakePackage, CudaPackage):
"""Nvtop stands for NVidia TOP, a (h)top like task monitor for NVIDIA GPUs.
It can handle multiple GPUs and print information about them
in a htop familiar way."""
homepage = "https://github.com/Syllo/nvtop"
url = "https://github.com/Syllo/nvtop/archive/1.1.0.tar.gz"
version('1.1.0', sha256='00470cde8fc48d5a5ed7c96402607e474414d94b562b21189bdde1dbe6b1d1f3')
depends_on('ncurses')
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] | 2.648438 | 256 |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from feincms.module.medialibrary.models import MediaFile
from feincms import extensions
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# -*- coding: utf-8 -*-
import cv2
import os, sys
sys.path.append('./')
import numpy as np
import glob
import math
"""
Created on Thu Jan 10 10:48:00 2013
@author: Chen Ming
"""
def read_YUV420(image_path, rows, cols, numfrm):
"""
读取YUV文件,解析为Y, U, V图像
:param image_path: YUV图像路径
:param rows: 给定高
:param cols: 给定宽
:return: 列表,[Y, U, V]
"""
# create Y
gray = np.zeros((rows, cols), np.uint8)
# print(type(gray))
# print(gray.shape)
# create U,V
img_U = np.zeros((int(rows / 2), int(cols / 2)), np.uint8)
# print(type(img_U))
# print(img_U.shape)
img_V = np.zeros((int(rows / 2), int(cols / 2)), np.uint8)
# print(type(img_V))
# print(img_V.shape)
Y = []
U = []
V = []
reader=open(image_path,'rb')
# with open(image_path, 'rb') as reader:
for num in range(numfrm-1):
Y_buf = reader.read(cols * rows)
gray = np.reshape(np.frombuffer(Y_buf, dtype=np.uint8), [rows, cols])
U_buf = reader.read(cols//2 * rows//2)
img_U = np.reshape(np.frombuffer(U_buf, dtype=np.uint8), [rows//2, cols//2])
V_buf = reader.read(cols//2 * rows//2)
img_V = np.reshape(np.frombuffer(V_buf, dtype=np.uint8), [rows//2, cols//2])
Y = Y+[gray]
U = U+[img_U]
V = V+[img_V]
return [Y, U, V]
if __name__ == '__main__':
fixerror = False
qp_value = 37
frame_maxnum = 100
info_mode = 'x265'
crop_size = 64
channal_num = 3
# add_name='_qp37_rec'
add_name=''
if info_mode == 'train':
readPath_GT = '/media/iceclear/yangren/train_108/raw/'
readPath_RAnof = '/media/iceclear/yangren/train_108/HM16.5_LDP/QP'+str(qp_value)+'/'
if channal_num==3:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_crop_rgb/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_f_img_crop_'+str(qp_value)+'_rgb/'
elif channal_num==1:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_crop_yuv/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_f_img_crop_'+str(qp_value)+'_yuv/'
elif info_mode == 'test':
readPath_GT = '/media/iceclear/yangren/test_18/raw/'
readPath_RAnof = '/media/iceclear/yangren/test_18/HM16.5_LDP/QP'+str(qp_value)+'/'
if channal_num==3:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_crop_test_rgb/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_f_img_crop_'+str(qp_value)+'_test_rgb/'
elif channal_num==1:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_crop_test_yuv/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_f_img_crop_'+str(qp_value)+'_test_yuv/'
elif info_mode == 'mos':
readPath_GT = '/media/iceclear/yangren/train_108/raw/'
readPath_RAnof = '/media/iceclear/yangren/train_108/HM16.5_LDP/QP'+str(qp_value)+'/'
if channal_num==3:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_crop_rgb/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_f_img_crop_'+str(qp_value)+'_rgb/'
elif info_mode == 'jm':
readPath_GT = '/media/iceclear/yangren/test_18/raw/'
readPath_RAnof = '/media/iceclear/yangren/test_18/JM_qp'+str(qp_value)+'/'
if channal_num==3:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_crop_rgb_JM/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_JM_img_crop_'+str(qp_value)+'_rgb/'
elif info_mode == 'vidyo':
readPath_GT = '/media/iceclear/yangren/test_18/vidyo/'
readPath_RAnof = '/media/iceclear/yangren/test_18/vidyo_JM'+str(qp_value)+'/'
if channal_num==3:
savePath_GT = '/media/iceclear/iceking/YUV_GT_img_vidyo_rgb_265/'
# readPath_RAnof = '/media/iceclear/yuhang/RA_Rec/'
savePath_RAnof = '/media/iceclear/iceking/YUV_265_img_vidyo_'+str(qp_value)+'_rgb/'
elif info_mode == 'x265':
readPath_GT = '/home/x/data/pycharm/MW-GAN/data/mfqe/raw/'
readPath_RAnof = '/home/x/data/pycharm/MW-GAN/data/mfqe/qp'+str(qp_value)+'/'
if channal_num==3:
savePath_GT = '/home/x/data/pycharm/MW-GAN/data/YUV_GT_img_x265_rgb/'
savePath_RAnof = '/home/x/data/pycharm/MW-GAN/data/YUV_img_x265_'+str(qp_value)+'_rgb/'
errorfile = []
errorwith = []
errorheight = []
errorframe = []
video_list = glob.glob(readPath_GT+"*.yuv")
# video_list = ['/media/iceclear/yangren/test_18/raw/KristenAndSara_1280x720_600.yuv']
for c in video_list:
c_array = os.path.basename(c).split('_')
filename = c_array[0]+c_array[1]
height_x_width = c_array[1]
print('>>>>>>>>>>>>>> '+filename+' is starting')
psnr_list = []
oripsnr_list = []
frame_per_second = 30
frame_total_name = int(c_array[2][:-4])
frame_total = int(c_array[2][:-4])
vid_width = int(height_x_width[0:len(height_x_width)//2])
vid_height = int(height_x_width[len(height_x_width)//2+1:])
# if vid_width != 1920:
# continue
width_crop = 0
height_crop = 0
if info_mode != 'train':
if vid_width%crop_size != 0 or vid_height%crop_size != 0:
if vid_width%crop_size != 0:
width_crop = int(vid_width%crop_size/2)
if vid_height%crop_size != 0:
height_crop = int(vid_height%crop_size/2)
createpath(savePath_GT+filename+'/')
createpath(savePath_RAnof+filename+'/')
try:
[y_gt,u_gt,v_gt] = read_YUV420(c,vid_height,vid_width,frame_total)
# [y_lq,u_lq,v_lq] = read_YUV420(readPath_RAnof + 'rec_RA_' + filename + '_qp'+str(qp_value)+'_nf'+ str(frame_total) +'.yuv',
# vid_height,vid_width,frame_total)
gt_name = os.path.basename(c).split('.')[0]
[y_lq,u_lq,v_lq] = read_YUV420(readPath_RAnof + gt_name + add_name + '.yuv',vid_height,vid_width,frame_total)
if frame_total>frame_maxnum and info_mode!='test':
frame_total = frame_maxnum+1
# [Y,U,V] = read_YUV420(readPath + filename+'_resi.yuv',vid_height,vid_width,frame_total)
# print((Y[0]==Y[5]).all())
# subprocess.call(["./360tools_conv", "-i", '/media/s/YuhangSong_1/env/ff/vr_new/'+dataset[i]+'.yuv', "-w",str(W), "-h", str(H), "-x", str(1), "-o", '/media/s/Iceclear/CMP/'+dataset[i]+'.yuv', "-l", str(3840), "-m", str(2880), "-y", str(1), "-f", str(3)])
for index in range(frame_total-1):
# psnr_frame = computePSNR(y_gt[index],y_lq[index])
# psnr_list.append(psnr_frame)
rgb_lq = yuv2rgb(y_lq[index],u_lq[index],v_lq[index])
rgb_gt = yuv2rgb(y_gt[index],u_gt[index],v_gt[index])
if height_crop>0:
temp_y_lq = y_lq[index][height_crop:-height_crop, :]
temp_y_gt = y_gt[index][height_crop:-height_crop, :]
rgb_lq = rgb_lq[height_crop:-height_crop, :, :]
rgb_gt = rgb_gt[height_crop:-height_crop, :, :]
else:
temp_y_lq = y_lq[index]
temp_y_gt = y_gt[index]
rgb_lq = rgb_lq
rgb_gt = rgb_gt
if width_crop>0:
temp_y_lq = temp_y_lq[:, width_crop:-width_crop]
temp_y_gt = temp_y_gt[:, width_crop:-width_crop]
rgb_lq = rgb_lq[:, width_crop:-width_crop, :]
rgb_gt = rgb_gt[:, width_crop:-width_crop, :]
psnr_frame = computePSNR(rgb_gt,rgb_lq)
print(psnr_frame)
if not os.path.exists(savePath_GT+filename+'/'+filename+'_'+str(index)+'.png'):
if channal_num==3:
cv2.imwrite(savePath_GT+filename+'/'+filename+'_'+str(index)+'.png',rgb_gt)
# np.save(savePath_GT+filename+'/'+filename+'_'+str(index)+'.npy',rgb_gt)
elif channal_num==1:
cv2.imwrite(savePath_GT+filename+'/'+filename+'_'+str(index)+'.png',temp_y_gt)
if not os.path.exists(savePath_RAnof+filename+'/'+filename+'_'+str(index)+'.png'):
if channal_num==3:
cv2.imwrite(savePath_RAnof+filename+'/'+filename+'_'+str(index)+'.png',rgb_lq)
# np.save(savePath_RAnof+filename+'/'+filename+'_'+str(index)+'.npy',rgb_lq)
elif channal_num==1:
cv2.imwrite(savePath_RAnof+filename+'/'+filename+'_'+str(index)+'.png',temp_y_lq)
# psnr_list = np.array(psnr_list)
print('>>>>>>>>>>>>>> '+filename+' is finished')
# print('Average PSNR is: '+str(np.mean(psnr_list)))
except Exception as e:
errorfile.append(filename)
errorwith.append(vid_width)
errorheight.append(vid_height)
errorframe.append(frame_total_name)
print('ERROR: '+filename)
print('All finish, error list is: ')
print(errorfile)
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62,
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62,
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6,
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201,
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220,
220,
220,
1288,
361,
7508,
62,
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6624,
705,
16785,
10354,
201,
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220,
220,
220,
220,
220,
220,
220,
1100,
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62,
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796,
31051,
11431,
14,
501,
20063,
14,
17859,
918,
14,
27432,
62,
15711,
14,
1831,
14,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
1100,
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62,
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14,
501,
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14,
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918,
14,
27432,
62,
15711,
14,
36905,
1433,
13,
20,
62,
43,
6322,
14,
48,
47,
6,
10,
2536,
7,
80,
79,
62,
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6,
201,
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220,
220,
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220,
220,
220,
220,
611,
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1236,
282,
62,
22510,
855,
18,
25,
201,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3613,
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62,
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796,
31051,
11431,
14,
501,
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14,
501,
3364,
14,
56,
31667,
62,
19555,
62,
9600,
62,
31476,
62,
81,
22296,
14,
6,
201,
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220,
220,
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220,
220,
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62,
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6,
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80,
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62,
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3613,
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31476,
62,
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1303,
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3613,
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1288,
361,
7508,
62,
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6624,
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10354,
201,
198,
220,
220,
220,
220,
220,
220,
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1100,
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62,
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14,
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14,
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14,
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62,
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6,
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62,
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16921,
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62,
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10,
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7,
80,
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62,
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26488,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
611,
442,
1236,
282,
62,
22510,
855,
18,
25,
201,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3613,
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62,
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796,
31051,
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14,
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14,
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14,
56,
31667,
62,
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62,
9600,
62,
16921,
8226,
62,
81,
22296,
62,
22980,
14,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1100,
15235,
62,
49,
2025,
1659,
796,
31051,
11431,
14,
501,
20063,
14,
88,
7456,
648,
14,
3861,
62,
6690,
14,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3613,
15235,
62,
49,
2025,
1659,
796,
31051,
11431,
14,
501,
20063,
14,
501,
3364,
14,
56,
31667,
62,
22980,
62,
9600,
62,
16921,
8226,
62,
6,
10,
2536,
7,
80,
79,
62,
8367,
47762,
6,
62,
81,
22296,
14,
6,
201,
198,
201,
198,
220,
220,
220,
1288,
361,
7508,
62,
14171,
6624,
705,
87,
22980,
10354,
201,
198,
220,
220,
220,
220,
220,
220,
220,
1100,
15235,
62,
19555,
796,
31051,
11195,
14,
87,
14,
7890,
14,
9078,
354,
1670,
14,
14326,
12,
45028,
14,
7890,
14,
76,
69,
80,
68,
14,
1831,
14,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
1100,
15235,
62,
49,
2025,
1659,
796,
31051,
11195,
14,
87,
14,
7890,
14,
9078,
354,
1670,
14,
14326,
12,
45028,
14,
7890,
14,
76,
69,
80,
68,
14,
80,
79,
6,
10,
2536,
7,
80,
79,
62,
8367,
47762,
26488,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
611,
442,
1236,
282,
62,
22510,
855,
18,
25,
201,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3613,
15235,
62,
19555,
796,
31051,
11195,
14,
87,
14,
7890,
14,
9078,
354,
1670,
14,
14326,
12,
45028,
14,
7890,
14,
56,
31667,
62,
19555,
62,
9600,
62,
87,
22980,
62,
81,
22296,
14,
6,
201,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3613,
15235,
62,
49,
2025,
1659,
796,
31051,
11195,
14,
87,
14,
7890,
14,
9078,
354,
1670,
14,
14326,
12,
45028,
14,
7890,
14,
56,
31667,
62,
9600,
62,
87,
22980,
62,
6,
10,
2536,
7,
80,
79,
62,
8367,
47762,
6,
62,
81,
22296,
14,
6,
201,
198,
201,
198,
220,
220,
220,
4049,
7753,
796,
17635,
201,
198,
220,
220,
220,
4049,
4480,
796,
17635,
201,
198,
220,
220,
220,
4049,
17015,
796,
17635,
201,
198,
220,
220,
220,
4049,
14535,
796,
17635,
201,
198,
201,
198,
220,
220,
220,
2008,
62,
4868,
796,
15095,
13,
4743,
672,
7,
961,
15235,
62,
19555,
10,
1,
24620,
88,
14795,
4943,
201,
198,
220,
220,
220,
1303,
2008,
62,
4868,
796,
685,
26488,
11431,
14,
501,
20063,
14,
17859,
918,
14,
9288,
62,
1507,
14,
1831,
14,
40756,
268,
1870,
50,
3301,
62,
1065,
1795,
87,
23906,
62,
8054,
13,
88,
14795,
20520,
201,
198,
220,
220,
220,
329,
269,
287,
2008,
62,
4868,
25,
201,
198,
220,
220,
220,
220,
220,
220,
220,
269,
62,
18747,
796,
28686,
13,
6978,
13,
12093,
12453,
7,
66,
737,
35312,
10786,
62,
11537,
201,
198,
220,
220,
220,
220,
220,
220,
220,
29472,
796,
269,
62,
18747,
58,
15,
48688,
66,
62,
18747,
58,
16,
60,
201,
198,
220,
220,
220,
220,
220,
220,
220,
6001,
62,
87,
62,
10394,
796,
269,
62,
18747,
58,
16,
60,
201,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
33717,
16471,
4211,
705,
10,
34345,
10,
6,
318,
3599,
11537,
201,
198,
220,
220,
220,
220,
220,
220,
220,
279,
16184,
81,
62,
4868,
796,
17635,
201,
198,
220,
220,
220,
220,
220,
220,
220,
22812,
862,
48624,
62,
4868,
796,
17635,
201,
198,
201,
198,
220,
220,
220,
220,
220,
220,
220,
5739,
62,
525,
62,
12227,
796,
1542,
201,
198,
220,
220,
220,
220,
220,
220,
220,
5739,
62,
23350,
62,
3672,
796,
493,
7,
66,
62,
18747,
58,
17,
7131,
21912,
19,
12962,
201,
198,
220,
220,
220,
220,
220,
220,
220,
5739,
62,
23350,
796,
493,
7,
66,
62,
18747,
58,
17,
7131,
21912,
19,
12962,
201,
198,
220,
220,
220,
220,
220,
220,
220,
410,
312,
62,
10394,
796,
493,
7,
17015,
62,
87,
62,
10394,
58,
15,
25,
11925,
7,
17015,
62,
87,
62,
10394,
8,
1003,
17,
12962,
201,
198,
220,
220,
220,
220,
220,
220,
220,
410,
312,
62,
17015,
796,
493,
7,
17015,
62,
87,
62,
10394,
58,
11925,
7,
17015,
62,
87,
62,
10394,
8,
1003,
17,
10,
16,
25,
12962,
201,
198,
201,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
611,
410,
312,
62,
10394,
14512,
14062,
25,
201,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
2555,
201,
198,
201,
198,
220,
220,
220,
220,
220,
220,
220,
9647,
62,
31476,
796,
657,
201,
198,
220,
220,
220,
220,
220,
220,
220,
6001,
62,
31476,
796,
657,
201,
198,
201,
198,
220,
220,
220,
220,
220,
220,
220,
611,
7508,
62,
14171,
14512,
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"""
AI Neural Network Training For Captain Pi
Created By: Vicky Bao
"""
import tensorflow as tf
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.layers import Embedding, LSTM, Dense, Bidirectional, GRU
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
import numpy as np
import nltk
from nltk.stem.lancaster import LancasterStemmer
# Query tags related data from mysql
import sqlalchemy
engine = sqlalchemy.create_engine(
'mysql+mysqlconnector://root:root@localhost:8889/test',
echo=True)
connection = engine.connect()
trans = connection.begin()
query = 'SELECT * FROM training_bot'
connection = engine.connect()
results = connection.execute(query)
# Input data initialization
input_corpus, label_corpus = [], []
from collections import defaultdict
response_dict = defaultdict(set)
for row in results:
# pre-process tag and pattern to make it all lower cases and stemmed to its root word
tag, pattern, response = row[1].lower(), row[2].lower(), row[3]
input_corpus.append(pattern)
label_corpus.append(tag)
response_dict[tag].add(response)
print(f"input_corpose:{input_corpus} \nlabel_corpose: {label_corpus}")
connection.close()
# Tokenization on texts
oov_tok = "<OOV>"
tokenizer = Tokenizer(num_words=150, oov_token=oov_tok)
tokenizer.fit_on_texts(input_corpus)
print(f"input word index: {tokenizer.word_index}")
tokenizer.fit_on_texts(label_corpus)
total_words = len(tokenizer.word_index) + 1
print(f"total words: {tokenizer.word_index}"
f"total word index: {tokenizer.word_index}")
# Sequence all texts
input_sequences = tokenizer.texts_to_sequences(input_corpus)
# input_sequences = [] # Input
# for line in input_corpus:
# token_list = tokenizer.texts_to_sequences([line])[0]
# input_sequences.append(token_list)
# max sequence length of the input
max_sequence_len = max(len(x) for x in input_sequences)
print(f"input_sequences:{input_sequences}\nmax_sequence_len: {max_sequence_len}")
label_sequences = tokenizer.texts_to_sequences(label_corpus)
# label_sequences = [] # Label
# for line in label_corpus:
# if line == '':
# continue
# token_list = tokenizer.texts_to_sequences([line])[0]
# label_sequences.append(token_list)
label_max_sequence_len = max([len(x) for x in label_sequences])
print(f"label_sequences:{label_sequences}\nlabel_max_sequence_len: {label_max_sequence_len}")
# Padded sequences
input_sequences = np.array(pad_sequences(input_sequences, maxlen=max_sequence_len, padding='post'))
label_sequences = np.array(pad_sequences(label_sequences, maxlen=label_max_sequence_len, padding='post'))
# x and y set up
xs = input_sequences
print(f"xs: \n{input_sequences}\nlabels: \n{label_sequences}")
# Categorize y before training the model
ys = tf.keras.utils.to_categorical(label_sequences, num_classes=total_words)
print(f"ys: \n{ys }")
model = Sequential()
model.add(Embedding(total_words, 64, input_length=max_sequence_len))
# model.add(Bidirectional(LSTM(20))) # LSTM(150) # GRU(32)
# model.add(Dense(total_words, activation='relu'))
model.add(LSTM(total_words ))
model.add(Dense(total_words, activation='softmax'))
adam = Adam(lr=0.01) # learning rate
model.compile(loss='categorical_crossentropy', optimizer=adam, metrics=['accuracy'])
history = model.fit(xs, ys, epochs=500, verbose=1)
model.summary()
# Plot Accuracy and loss
import matplotlib.pyplot as plt
plot_graphs(history, 'accuracy')
dict = dict([(value, key) for (key, value) in tokenizer.word_index.items()])
# prediction
predict_test("I want to download DUDL Data")
predict_test("Show me dudl data")
predict_test("I want DUDL reports")
predict_test("definition of DUDL")
predict_test("Hi Captain")
# Load into Tensorflow model for visualization
e = model.layers[0]
weights = e.get_weights()[0]
print(weights.shape) # shape: (vocab_size, embedding_dim)
(vocab_size, embedding_dim) = weights.shape
import io
out_v = io.open('vecs.tsv', 'w', encoding='utf-8')
out_m = io.open('meta.tsv', 'w', encoding='utf-8')
for word_num in range(1, vocab_size):
word = dict[word_num]
embeddings = weights[word_num]
out_m.write(word + "\n")
out_v.write('\t'.join([str(x) for x in embeddings]) + '\n')
out_v.close()
out_m.close()
try:
from google.colab import files
except ImportError:
pass
else:
files.download('vecs.tsv')
files.download('meta.tsv')
pass
# # Save the model
# model.SAVE("model.h5")
#
#
# # # Load the model
# # model = keras.models.load_model("model.h5")
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2,
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2,
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20,
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2220,
62,
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7203,
19849,
13,
71,
20,
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628,
198
] | 2.666094 | 1,746 |
import secrets
from flask_login import UserMixin
from werkzeug.security import check_password_hash, generate_password_hash
from lamby.database import db
from lamby.models.projects import projects
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] | 3.826923 | 52 |
import numpy as np
def mask_image_threshold(image, masking_image, threshold=0):
"""
Mask one image, based on the values in another image that are above a
threshold
:param image: Input image
:param masking_image: Image to base the mask on (same shape as image)
:param threshold: Threshold to base the mask on
:return: Masked image
"""
masking_image = make_mask(masking_image, threshold=threshold)
return image * masking_image
def make_mask(masking_image, threshold=0):
"""
Given an image, and an optional threshold, returns a binary image that can
be used as a mask
:param masking_image: nD image
:param threshold: Optional threshold, default 0. Values above this are
included in the mask. Values below this are not.
:return: Binary mask
"""
mask = np.copy(masking_image)
mask[masking_image <= threshold] = 0
mask[masking_image > threshold] = 1
return mask
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] | 3.019108 | 314 |
import random
def generate_points(n, bounds):
'''
Generates a list of n points with random coordinates.
'''
return [Point.create_random(bounds) for i in range(n)]
def generate_class_fn(bounds):
'''
Generates a function used to classify the generated points. The function
returned is the equation of the class boundary points specified.
'''
x0, y0, x1, y1 = bounds[0][0], bounds[0][1], bounds[1][0], bounds[1][1]
gradient = (y0 - y1) / (x0 - x1)
return fn
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15,
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58,
16,
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16,
60,
198,
220,
220,
220,
31312,
796,
357,
88,
15,
532,
331,
16,
8,
1220,
357,
87,
15,
532,
2124,
16,
8,
198,
220,
220,
220,
1441,
24714,
198
] | 2.695187 | 187 |
raise NotImplementedError("robotparser is not yet implemented in Skulpt")
| [
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7203,
305,
13645,
48610,
318,
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9177,
287,
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198
] | 3.894737 | 19 |
from rl_games.common import object_factory
import rl_games.algos_tf14
from rl_games.algos_tf14 import network_builder
from rl_games.algos_tf14 import models
| [
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] | 2.857143 | 56 |
from seleniumbase import BaseCase
from parameterized import parameterized
| [
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] | 4.6875 | 16 |
import os
import zlib
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, List, Optional
import tfaip.util.logging
from bidi.algorithm import get_base_level
from paiargparse import PAIArgumentParser, pai_meta, pai_dataclass
from calamari_ocr import __version__
from calamari_ocr.ocr.dataset.datareader.base import CalamariDataGeneratorParams
from calamari_ocr.ocr.dataset.datareader.file import FileDataParams
from calamari_ocr.ocr.dataset.params import DATA_GENERATOR_CHOICES
from calamari_ocr.ocr.model.ctcdecoder.ctc_decoder import (
CTCDecoderParams,
CTCDecoderType,
)
from calamari_ocr.ocr.predict.params import Predictions, PredictorParams
from calamari_ocr.ocr.voting import VoterParams
from calamari_ocr.utils.glob import glob_all
if TYPE_CHECKING:
from calamari_ocr.ocr.dataset.pipeline import CalamariPipeline
logger = tfaip.util.logging.logger(__name__)
@pai_dataclass
@dataclass
if __name__ == "__main__":
main()
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366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 2.809798 | 347 |
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'
import sys
import cv2
import numpy as np
import tensorflow as tf
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
from tensorflow.python.saved_model import tag_constants
import tensorflow_yolov4.core.utils as utils
from absl import logging
import time
from queue import Queue, Empty, Full
from threading import Event
from typing import Union, List
from core.utils import TimeTracker
# from tensorflow_yolov4.core.yolov4 import filter_boxes
sys.stdout.flush()
def draw_bbox(frame, pred_bbox, boundary=None, classes=None):
"""
Draw bounding box on yolov4 output
@param frame:
@param pred_bbox: Direct output from yolov4
@param boundary: WarpMatrix class. Show only bbox in boundary. Give None to show all bbox in the image
@param classes: List of full class name
@return:
"""
return utils.draw_bbox(frame, pred_bbox, classes=classes, show_label=True, boundary=boundary)
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198
] | 2.976401 | 339 |
import discord
import aiosqlite
from discord.commands import slash_command
from discord.ext import commands
# Courtesy of Pycord examples
"""
Let users assign themselves roles by clicking on Buttons.
The view made is persistent, so it will work even when the bot restarts.
See this example for more information about persistent views
https://github.com/Pycord-Development/pycord/blob/master/examples/views/persistent.py
Make sure to load this cog when your bot starts!
"""
class ButtonRoleCog(commands.Cog):
"""A cog with a slash command for posting the message with buttons
and to initialize the view again when the bot is restarted
"""
# make sure to set the guild ID here to whatever server you want the buttons in
@slash_command(name="reactionrole")
async def reactionrole(
self,
ctx,
channel: discord.TextChannel,
title: str,
description: str,
role1: discord.Role,
role2: discord.Role = None,
role3: discord.Role = None,
):
"""Slash command to post a new view with a button for each role"""
if not ctx.author.guild_permissions.manage_roles == True:
return await ctx.respond("You dont have the permission to manage roles -_-")
# timeout is None because we want this view to be persistent
view = discord.ui.View(timeout=None)
role_ids = [role1.id]
if role2 is not None:
role_ids.append(role2.id)
if role3 is not None:
role_ids.append(role3.id)
# loop through the list of roles and add a new button to the view for each role
for role_id in role_ids:
# get the role the guild by ID
try:
await self.bot.db.execute(
"INSERT INTO Roles(id , guild_id) VALUES (? ,?)",
(role_id, ctx.guild.id),
)
except aiosqlite.IntegrityError:
return await ctx.respond(
"A Button role with the same thing already exists.\n In order to cancel that role, just use the command /reactionrole_remove <roleid>"
)
self.bot.db.commit()
role = ctx.guild.get_role(role_id)
view.add_item(RoleButton(role))
await ctx.respond("success", ephemeral=True)
await channel.send(
embed=discord.Embed(
title=title, description=description, colour=discord.Colour.random()
),
view=view,
)
@slash_command(name="rr_remove")
async def reactionrole_remove(self, ctx, role: discord.Role):
"""Slash command to remove a role button"""
if not ctx.author.guild_permissions.manage_roles == True:
return await ctx.respond("You dont have the permission to manage roles -_-")
try:
self.bot.db.execute("DELETE FROM Roles WHERE id = ?", (role.id,))
self.bot.db.commit()
await ctx.respond("Successfully removed the role button")
except aiosqlite.IntegrityError:
await ctx.respond(
"A Button role with the same thing already exists.\n In order to cancel that role, just use the command /reactionrole_remove <roleid>"
)
@commands.Cog.listener()
async def on_ready(self):
"""This function is called every time the bot restarts.
If a view was already created before (with the same custom IDs for buttons)
it will be loaded and the bot will start watching for button clicks again.
"""
# we recreate the view as we did in the /post command
view = discord.ui.View(timeout=None)
role = self.bot.db.execute("SELECT * FROM Roles")
# make a list of guilds and roles of that guild
for row in role:
role = self.bot.get_guild(row[1]).get_role(row[0])
view.add_item(RoleButton(role))
# add the view to the bot so it will watch for button interactions
self.bot.add_view(view)
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] | 2.329769 | 1,777 |
import time
from mock import patch, MagicMock
from paradrop.backend import token_manager
@patch("paradrop.backend.token_manager.nexus")
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] | 3.255814 | 43 |
# -*- coding: utf-8 -*-
"""
@author: hsowan <[email protected]>
@date: 2019/10/19
"""
import os
from tkinter import *
from tkinter import simpledialog, messagebox, filedialog, dialog
from tkinter import ttk
import yaml
import smtplib
from email.mime.text import MIMEText
from email.header import Header
from smtplib import SMTP_SSL, SMTP
from email.utils import parseaddr, formataddr
from email.mime.multipart import MIMEMultipart
import time
import webbrowser
settings_file = 'settings.yaml'
def compute_x_y(master, width, height):
"""计算组件的居中坐标
:param master:
:param width:
:param height:
:return:
"""
ws = master.winfo_screenwidth()
hs = master.winfo_screenheight()
x = int((ws / 2) - (width / 2))
y = int((hs / 2) - (height / 2))
return f'{width}x{height}+{x}+{y}'
class SettingsDialog(Toplevel):
"""设置对话框"""
# 定义构造方法
# 通过该方法来创建自定义对话框的内容
# 通过该方法来创建对话框下方的按钮框
def validate(self):
"""检验配置"""
pass
def save(self):
"""保存配置"""
pass
class Application(Frame):
"""主窗口"""
def import_mails(self):
"""导入邮箱列表"""
file = filedialog.askopenfile(title='导入邮箱列表',
filetypes=[('文本文件', '*.txt'), ('CSV文件', '*.csv'), ('xlsx文件', '*.xlsx')])
self.mail_recipients = file.read().split('\n')
print(self.mail_recipients)
def open_settings(self):
"""打开设置"""
d = SettingsDialog(self.master, title='模式对话框') # 默认是模式对话框
def send_mails(self, preview=False):
"""发送邮件"""
# 获取用户配置
with open(settings_file, 'r') as f:
settings = yaml.load(f, Loader=yaml.FullLoader)
host_port = (settings['host'], settings['port'])
smtp = SMTP_SSL(*host_port) if settings['ssh'] else SMTP(*host_port)
try:
# smtp.set_debuglevel(1)
smtp.login(settings['user'], settings['pass'])
except smtplib.SMTPException as e:
self.open_simpledialog('SMTP设置有误', str(e))
subject = self.mail_subject.get()
content = self.mail_content.get(1.0, END)
root_msg = MIMEMultipart()
# 发件人
root_msg['From'] = self._format_addr(f'{settings["name"]} <{settings["user"]}>')
# 邮件主题
root_msg['Subject'] = Header(subject, 'utf-8').encode()
# 邮件内容
html_message = MIMEText(content, 'html', 'utf-8')
root_msg.attach(html_message)
# 附件
if self.mail_attach_in.get():
try:
for attachment_path in self.mail_attach_in.get().split(';'):
att = MIMEText(open(attachment_path, 'rb').read(), 'base64', 'utf-8')
att['Content-Type'] = 'application/octet-stream'
att['Content-Disposition'] = f'attachment;filename="{attachment_path.split(os.path.sep).pop()}"'
root_msg.attach(att)
except FileNotFoundError as e:
self.open_simpledialog('邮件推送', str(e))
if preview:
root_msg['To'] = Header(settings['user'], 'utf-8').encode()
try:
# 发送邮件
smtp.sendmail(settings['user'], settings['user'], root_msg.as_string())
self.open_simpledialog('预览', '发送成功')
except smtplib.SMTPException as e:
self.open_simpledialog('预览', '发送失败: ' + str(e))
else:
# Todo: 显示推送成功与失败的列表
success_mails = []
failed_mails = []
recipients_count = len(self.mail_recipients)
# 设置进度条的最大值
self.push_progress['maximum'] = recipients_count
# 显示进度条
self.push_progress.place(x=70, y=350)
self.push_progress.update()
if not self.mail_recipients:
self.open_simpledialog('邮件推送', '没有导入收件人列表')
return
for i, recipient in enumerate(self.mail_recipients):
root_msg['To'] = Header(recipient, 'utf-8').encode()
try:
# 发送邮件
smtp.sendmail(settings['user'], [recipient], root_msg.as_string())
success_mails.append(recipient)
# 发送延时
if i != recipients_count - 1:
time.sleep(settings['delay'])
except smtplib.SMTPException as e:
failed_mails.append(dict(to=recipient, error=str(e)))
finally:
# 更新进度条
self.push_progress['value'] += 1
self.push_progress.update()
self.open_simpledialog('邮件推送', f'推送成功: {len(success_mails)} 封\n推送失败: {len(failed_mails)} 封')
# 删除进度条
self.push_progress.place_forget()
# 重置进度条
self.push_progress['value'] = 0
smtp.quit()
@staticmethod
def _format_addr(s):
"""格式化发件人
Refer: https://www.liaoxuefeng.com/wiki/1016959663602400/1017790702398272
"""
name, addr = parseaddr(s)
return formataddr((Header(name, 'utf-8').encode(), addr))
def open_simpledialog(self, title, msg):
"""显示对话框
Refer: http://c.biancheng.net/view/2523.html
:param title: 对话框标题
:param msg: 对话框内容
:return:
"""
d = simpledialog.SimpleDialog(self.master, title=title, text=msg, cancel=3, default=0)
d.root.geometry(compute_x_y(self.master, 240, 100))
d.root.grab_set()
d.root.wm_resizable(width=False, height=False)
d.go()
if __name__ == '__main__':
# 创建Tk对象, Tk代表窗口
root = Tk()
# 设置窗口标题
root.title('特邮')
# 禁止改变窗口大小
root.resizable(width=False, height=False)
root.geometry(compute_x_y(root, 600, 400))
app = Application(master=root)
# 启动主窗口的消息循环
app.mainloop()
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] | 1.696217 | 3,463 |
import irc_wheat
import sys
def parse_date(d):
"""Parse date string to (yyyy, MM, dd)
:param d: the date string to parse
:returns: parsed date as tuple or None on error
"""
date_fields = d.split('-')
if date_fields and len(date_fields) == 3:
return (int(date_fields[0]), int(date_fields[1]), int(date_fields[2]))
else:
return None
def harvest_channel(channel, start_date, end_date, exclude_nicks=None,
exclude_posts=None):
"""Pull all matching irc posts
:param channel: the irc channel to search
:param start_date: the starting date of irc entries
:param end_date: the ending date of irc entries
:param exclude_nicks: the irc nicknames whose posts are to be ignored
:param exclude_posts: the substrings to cause posts to be ignored
"""
start_fields = parse_date(start_date)
end_fields = parse_date(end_date)
if not start_fields or not end_fields:
return
start_year = start_fields[0]
start_month = start_fields[1]
start_day = start_fields[2]
end_year = end_fields[0]
end_month = end_fields[1]
end_day = end_fields[2]
days_in_month = {}
days_in_month['1'] = 31
days_in_month['2'] = 28
days_in_month['3'] = 31
days_in_month['4'] = 30
days_in_month['5'] = 31
days_in_month['6'] = 30
days_in_month['7'] = 31
days_in_month['8'] = 31
days_in_month['9'] = 30
days_in_month['10'] = 31
days_in_month['11'] = 30
days_in_month['12'] = 31
pulling_data = True
current_year = start_year
current_month = start_month
current_day = start_day
while pulling_data:
current_date = '%d-%02d-%02d' % (current_year,
current_month,
current_day)
log_entries = irc_wheat.get_channel_entries(channel,
current_date,
exclude_nicks,
exclude_posts)
if log_entries:
irc_wheat.print_irc_entries(log_entries)
if current_year == end_year and \
current_month == end_month and \
current_day == end_day:
pulling_data = False
else:
if current_day < days_in_month[str(current_month)]:
current_day += 1
else:
current_month += 1
current_day = 1
if current_month > 12:
current_month = 1
current_year += 1
if __name__ == '__main__':
if len(sys.argv) < 4:
print('usage: python %s channel start_date end_date' % sys.argv[0])
sys.exit(1)
exclude_nicks = ['openstack', 'openstackgerrit']
exclude_posts = [' has joined ',
' has quit IRC']
harvest_channel(sys.argv[1],
sys.argv[2],
sys.argv[3],
exclude_nicks,
exclude_posts)
| [
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] | 1.973316 | 1,574 |
from typing import Any, Union, List
from ..utils.types import Header, HeaderList
import json
| [
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] | 4.086957 | 23 |
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