content stringlengths 4 1.04M | lang stringclasses 358
values | score int64 0 5 | repo_name stringlengths 5 114 | repo_path stringlengths 4 229 | repo_licenses listlengths 1 8 |
|---|---|---|---|---|---|
" Vim compiler file
" Compiler: Libxml2 Command-Line Tool
" Maintainer: Doug Kearns <dougkearns@gmail.com>
" Last Change: 2020 Jul 30
if exists("current_compiler")
finish
endif
let current_compiler = "xmllint"
if exists(":CompilerSet") != 2 " older Vim always used :setlocal
command -nargs=* CompilerSet setlocal <args>
endif
let s:cpo_save = &cpo
set cpo&vim
CompilerSet makeprg=xmllint\ --valid\ --noout
CompilerSet errorformat=%E%f:%l:\ %.%#\ error\ :\ %m,
\%W%f:%l:\ %.%#\ warning\ :\ %m,
\%-Z%p^,
\%C%.%#,
\%terror:\ %m,
\%tarning:\ %m,
\%-G%.%#
let &cpo = s:cpo_save
unlet s:cpo_save
| VimL | 3 | uga-rosa/neovim | runtime/compiler/xmllint.vim | [
"Vim"
] |
* CODE TO CALCULATE THE ANNUITIES OF THE SYSTEM - JUAN GEA BERMUDEZ
*----------INPUT DATA--------------------
* ACRONYMS:
* ACRONYMS for technology types
* Each of the following ACRONYMS symbolise a technology type.
* They correspond in a one-to-one way with the internal sets IGCND, IGBRP etc. below.
* They should generally not be changed.
* New technology types may be added only if also code specifying their properties are added.
ACRONYMS GCND, GBPR, GEXT, GHOB, GETOH, GHSTO, GESTO, GHSTOS, GESTOS, GHYRS, GHYRR, GWND, GSOLE, GSOLH, GWAVE;
*ACRONYMS for tech groups
* They can be used for multiple purposes
* They should generally not be changed.
* New technology types may be added only if also code specifying their properties are added.
ACRONYMS STEAMTURBINE_SUBCRITICAL, RESERVOIR_PMP, WATERTURBINE, ENGINE_IC, BOILER, COMBINEDCYCLE, EXCESS_HEAT, ELECTRICITY_BATTERY, GEOTHERMAL,
GASTURBINE, DUMMY, HEATPUMP, PIT, WATERTANK, SOLARPV, SOLARHEATING,WINDTURBINE_ONSHORE, WINDTURBINE_OFFSHORE;
*ACRONYMS for subtech groups
* They can be used for multiple purposes
* They should generally not be changed.
* New technology types may be added only if also code specifying their properties are added.
ACRONYMS RG1,RG2,RG3,RG1_OFF1,RG2_OFF1,RG3_OFF1,RG1_OFF2,RG2_OFF2,RG3_OFF2,RG1_OFF3,RG2_OFF3,RG3_OFF3,RG1_OFF4,RG2_OFF4,RG3_OFF4,RG1_OFF5,RG2_OFF5,RG3_OFF5,AIR,EXCESSHEAT,GROUND;
SET CCCRRRAAA "All geographical entities (CCC + RRR + AAA)"
$if EXIST '../data/CCCRRRAAA.inc' $INCLUDE '../data/CCCRRRAAA.inc';
$if not EXIST '../data/CCCRRRAAA.inc' $INCLUDE '../../base/data/CCCRRRAAA.inc';
SET CCC(CCCRRRAAA) "All Countries"
$if EXIST '../data/CCC.inc' $INCLUDE '../data/CCC.inc';
$if not EXIST '../data/CCC.inc' $INCLUDE '../../base/data/CCC.inc';
SET C(CCC) "Countries in the simulation"
$if EXIST '../data/C.inc' $INCLUDE '../data/C.inc';
$if not EXIST '../data/C.inc' $INCLUDE '../../base/data/C.inc';
SET FFF "Fuels"
$if EXIST '../data/FFF.inc' $INCLUDE '../data/FFF.inc';
$if not EXIST '../data/FFF.inc' $INCLUDE '../../base/data/FFF.inc';
SET FDATASET "Characteristics of fuels "
$if EXIST '../data/FDATASET.inc' $INCLUDE '../data/FDATASET.inc';
$if not EXIST '../data/FDATASET.inc' $INCLUDE '../../base/data/FDATASET.inc';
PARAMETER FDATA(FFF,FDATASET) "Fuel specific values"
$if EXIST '../data/FDATA.inc' $INCLUDE '../data/FDATA.inc';
$if not EXIST '../data/FDATA.inc' $INCLUDE '../../base/data/FDATA.inc';
SET GGG "All generation technologies"
$if EXIST '../data/GGG.inc' $INCLUDE '../data/GGG.inc';
$if not EXIST '../data/GGG.inc' $INCLUDE '../../base/data/GGG.inc';
SET G(GGG) "Generation technologies in the simulation"
$if EXIST '../data/G.inc' $INCLUDE '../data/G.inc';
$if not EXIST '../data/G.inc' $INCLUDE '../../base/data/G.inc';
SET GDATASET "Generation technology data"
$if EXIST '../data/GDATASET.inc' $INCLUDE '../data/GDATASET.inc';
$if not EXIST '../data/GDATASET.inc' $INCLUDE '../../base/data/GDATASET.inc';
PARAMETER GDATA(GGG,GDATASET) "Technologies characteristics"
$if EXIST '../data/GDATA.inc' $INCLUDE '../data/GDATA.inc';
$if not EXIST '../data/GDATA.inc' $INCLUDE '../../base/data/GDATA.inc';
SCALAR DISCOUNTRATE "Discount rate by country (fraction)"
$if EXIST '../data/DISCOUNTRATE.inc' $INCLUDE '../data/DISCOUNTRATE.inc';
$if not EXIST '../data/DISCOUNTRATE.inc' $INCLUDE '../../base/data/DISCOUNTRATE.inc';
SCALAR LIFETIME_X "Lifetime of transmission lines (years)";
$if EXIST '../data/LIFETIME_X.inc' $INCLUDE '../data/LIFETIME_X.inc';
$if not EXIST '../data/LIFETIME_X.inc' $INCLUDE '../../base/data/LIFETIME_X.inc';
PARAMETER ANNUITYCG(CCC,GGG) "Transforms investment in technologies into annual payment (fraction)";
PARAMETER DEBT_SHARE_G(GGG) "Share of debt for the investment of each generation technology (fraction)";
DEBT_SHARE_G(GGG)$(GDATA(GGG,'GDKVARIABL') EQ 1)=0.8;
PARAMETER INTEREST_RATE_G(GGG) "Interest rate applied to the loan of each generation technology (fraction)";
INTEREST_RATE_G(GGG)$(GDATA(GGG,'GDKVARIABL') EQ 1)=0.06;
PARAMETER PAYBACK_TIME_G(GGG) "Payback time of the loan for generation technologies (years)";
* Loan repayment assumption: lifetime of the technology if lifetime is higher than 20 years, else 20 years
PAYBACK_TIME_G(GGG)$(GDATA(GGG,'GDKVARIABL') EQ 1)=MIN(GDATA(GGG,'GDLIFETIME'),20);
PARAMETER ANNUITYCX(CCC) "Transforms investment in transmission lines into annual payment (fraction)";
SCALAR DEBT_SHARE_X "Share of debt for the investment of transmission lines (fraction)";
*Assumption: share of debt equal to 0
DEBT_SHARE_X=0;
SCALAR INTEREST_RATE_X "Interest rate applied to the loan of transmission lines";
*Assumption: interest rate equals socio economic discount rate
INTEREST_RATE_X = DISCOUNTRATE;
SCALAR PAYBACK_TIME_X "Payback time of the loan for transmission lines (years)";
*Assumption: payback time equals lifetime
PAYBACK_TIME_X = LIFETIME_X;
*----------END OF INPUT DATA--------------------
*------------CALCULATIONS-------------
ANNUITYCG(CCC,GGG)$(GDATA(GGG,'GDKVARIABL') EQ 1)= ((1-DEBT_SHARE_G(GGG))*DISCOUNTRATE + INTEREST_RATE_G(GGG) * DEBT_SHARE_G (GGG)* (1 - (1 + DISCOUNTRATE) ** (-PAYBACK_TIME_G(GGG))) / (1 - (1 + INTEREST_RATE_G(GGG)) **( -PAYBACK_TIME_G(GGG)))) / (1 - (1 + DISCOUNTRATE) ** (-GDATA(GGG,'GDLIFETIME')));
ANNUITYCX(CCC)= ((1-DEBT_SHARE_X)*DISCOUNTRATE + INTEREST_RATE_X * DEBT_SHARE_X* (1 - (1 + DISCOUNTRATE) ** (-PAYBACK_TIME_X)) / (1 - (1 + INTEREST_RATE_X) ** (-PAYBACK_TIME_X))) / (1 - (1 + DISCOUNTRATE) **( -PAYBACK_TIME_X));
*------------END OF CALCULATIONS-------------
*------------OUTPUT GENERATION-------------
file annuity_generation /'../../base/auxils/annuity_calculation/ANNUITYCG.inc'/;
annuity_generation.nd = 12;
put annuity_generation;
put '*PARAMETER ANNUITYCG(CCC,GGG) CALCULATED WITH AUXILS' //
loop((CCC,GGG)$(GDATA(GGG,'GDKVARIABL') EQ 1),
put ANNUITYCG.tn(CCC,GGG),'=' ANNUITYCG(CCC,GGG) :0 ';' /
);
putclose;
file annuity_transmission /'../../base/auxils/annuity_calculation/ANNUITYCX.inc'/;
annuity_transmission.nd = 12;
put annuity_transmission;
put '*PARAMETER ANNUITYCX(CCC) CALCULATED WITH AUXILS' //
loop(CCC,
put ANNUITYCX.tn(CCC),'=' ANNUITYCX(CCC) :0 ';' /
);
putclose;
*------------END OF OUTPUT GENERATION-------------
| GAMS | 4 | EEG-policy-modelling/EEG-Balmorel | base/auxils/annuity_calculation/annuity_calculation.gms | [
"0BSD"
] |
module FlySuccess.Text exposing
( Paragraph
, copyTokenButton
, copyTokenInput
, firstParagraph
, flyLoginLinkDescription
, flyLoginLinkText
, pending
, secondParagraph
, sendTokenButton
, title
)
import FlySuccess.Models as Models exposing (ButtonState)
title : String
title =
"login successful!"
pending : String
pending =
"sending token to fly..."
type alias Line =
String
type alias Paragraph =
List Line
firstParagraph : Models.TokenTransfer -> Paragraph
firstParagraph tokenTransfer =
case tokenTransfer of
Models.Pending ->
[]
Models.Success ->
[ "your token has been transferred to fly." ]
Models.NetworkTrouble ->
[ "however, your token could not be"
, "sent to fly."
]
Models.BlockedByBrowser ->
[ "however, your token could not be sent"
, "to fly because your browser blocked"
, "the attempt."
]
Models.NoFlyPort ->
[ "however, your token could not be"
, "sent to fly."
]
secondParagraph : Models.TokenTransfer -> Paragraph
secondParagraph error =
case error of
Models.Pending ->
[]
Models.Success ->
[ "you may now close this window." ]
Models.NetworkTrouble ->
[ "after copying, return to fly and paste"
, "your token into the prompt."
]
Models.BlockedByBrowser ->
[ "if that fails, you will need to copy"
, "the token to your clipboard, return"
, "to fly, and paste your token into"
, "the prompt."
]
Models.NoFlyPort ->
[ "could not find a valid fly port to send to."
, "maybe your URL is broken?"
]
copyTokenButton : ButtonState -> String
copyTokenButton buttonState =
if Models.isClicked buttonState then
"token copied"
else
"copy token to clipboard"
copyTokenInput : String
copyTokenInput =
"copy token here"
sendTokenButton : String
sendTokenButton =
"send token to fly directly"
flyLoginLinkDescription : Line
flyLoginLinkDescription =
"Or try manually sending the token to fly:"
flyLoginLinkText : Line
flyLoginLinkText =
"send token to fly directly"
| Elm | 4 | Caprowni/concourse | web/elm/src/FlySuccess/Text.elm | [
"Apache-2.0"
] |
using Nancy.Bootstrapper;
using Nancy.Json;
using NodaTime;
using NodaTime.Text;
using System;
using System.Collections.Generic;
namespace {{packageName}}.{{packageContext}}.Utils
{
/// <summary>
/// (De)serializes a <see cref="NodaTime.LocalDate"/> to a string using
/// the <a href="https://xml2rfc.tools.ietf.org/public/rfc/html/rfc3339.html#anchor14">RFC3339</a>
/// <code>full-date</code> format.
/// </summary>
public class LocalDateConverter : JavaScriptPrimitiveConverter, IApplicationStartup
{
public override IEnumerable<Type> SupportedTypes
{
get
{
yield return typeof(LocalDate);
yield return typeof(LocalDate?);
}
}
public void Initialize(IPipelines pipelines)
{
JsonSettings.PrimitiveConverters.Add(new LocalDateConverter());
}
public override object Serialize(object obj, JavaScriptSerializer serializer)
{
if (obj is LocalDate)
{
LocalDate localDate = (LocalDate)obj;
return LocalDatePattern.IsoPattern.Format(localDate);
}
return null;
}
public override object Deserialize(object primitiveValue, Type type, JavaScriptSerializer serializer)
{
if ((type == typeof(LocalDate) || type == typeof(LocalDate?)) && primitiveValue is string)
{
try
{
return LocalDatePattern.IsoPattern.Parse(primitiveValue as string).GetValueOrThrow();
}
catch { }
}
return null;
}
}
}
| HTML+Django | 5 | MalcolmScoffable/openapi-generator | modules/openapi-generator/src/main/resources/csharp-nancyfx/localDateConverter.mustache | [
"Apache-2.0"
] |
<%@ Page Language="C#" AutoEventWireup="true" CodeFile="native.aspx.cs" Inherits="native" %>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head runat="server">
<title>无标题页</title>
</head>
<body>
<form id="form1" runat="server">
<!--https://chart.googleapis.com/chart?cht=qr&chs=200×200&choe=UTF-8&chld=L|4&chl=http://Codeup.org -->
<div>
<center><a href="<%= parm %>">点击支付(微信浏览器)</a><br>扫描支付</br><img src="<%= parm%>" alt="QR code"/></center>
</div>
</form>
</body>
</html>
| ASP | 3 | WangDrama/WeiXinMPSDK | Samples/net45-mvc/Senparc.Weixin.MP.Sample/wx/pay/native.aspx | [
"Apache-2.0"
] |
--TEST--
JIT MUL: 004 Overflow check for optmizing MUL to SHIFT
--INI--
opcache.enable=1
opcache.enable_cli=1
opcache.file_update_protection=0
opcache.jit_buffer_size=32M
;opcache.jit_debug=257
--EXTENSIONS--
opcache
--SKIPIF--
<?php
if (PHP_INT_SIZE != 8) die("skip this test is for 64bit platform only");
?>
--FILE--
<?php
function mul2_8(int $a) {
$res = $a * 8; // shift cnt: 3
var_dump($res);
}
function mul1_16(int $a) {
$res = 16 * $a; // shift cnt: 4
var_dump($res);
}
function mul2_big_int32(int $a) {
$res = $a * 0x10000000; // shift cnt: 29
var_dump($res);
}
function mul2_big_int64(int $a) {
$res = $a * 0x100000000; // shift cnt: 32
var_dump($res);
}
function mul2(int $a) {
$res = $a * 2; // $a + $a
var_dump($res);
}
mul2_8(3);
mul2_8(-11);
mul2_8(0x7fffffffffffffff);
mul1_16(3);
mul1_16(-13);
mul1_16(0x7fffffffffffffff);
mul2_big_int32(3);
mul2_big_int32(-3);
mul2_big_int32(0x10000000000);
mul2_big_int64(3);
mul2_big_int64(-3);
mul2_big_int64(0x100000000);
mul2(10);
mul2(0x7fffffffffffffff);
?>
--EXPECT--
int(24)
int(-88)
float(7.378697629483821E+19)
int(48)
int(-208)
float(1.4757395258967641E+20)
int(805306368)
int(-805306368)
float(2.9514790517935283E+20)
int(12884901888)
int(-12884901888)
float(1.8446744073709552E+19)
int(20)
float(1.8446744073709552E+19)
| PHP | 4 | NathanFreeman/php-src | ext/opcache/tests/jit/mul_004.phpt | [
"PHP-3.01"
] |
public final class Annotations /* p.Annotations*/ {
@p.R(s = "a")
@p.R(s = "b")
@p.R(s = "c")
public final void repeatables1();// repeatables1()
@p.R(s = "a")
@p.R(s = "c")
@p.R(s = "f")
@p.S(g = "D")
@p.S(g = "b")
public final void repeatables3();// repeatables3()
@p.R(s = "a")
public final void repeatables2();// repeatables2()
public Annotations();// .ctor()
} | Java | 4 | Mu-L/kotlin | compiler/testData/asJava/lightClasses/compilationErrors/RepetableAnnotations.java | [
"ECL-2.0",
"Apache-2.0"
] |
Most pandas operations return copies of the ``Series``/``DataFrame``. To make the changes "stick",
you'll need to either assign to a new variable:
.. code-block:: python
sorted_df = df.sort_values("col1")
or overwrite the original one:
.. code-block:: python
df = df.sort_values("col1")
.. note::
You will see an ``inplace=True`` keyword argument available for some methods:
.. code-block:: python
df.sort_values("col1", inplace=True)
Its use is discouraged. :ref:`More information. <indexing.view_versus_copy>`
| reStructuredText | 4 | oricou/pandas | doc/source/getting_started/comparison/includes/copies.rst | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] |
package com.baeldung.dynamodb.repository;
import com.baeldung.dynamodb.entity.ProductInfo;
public class ProductInfoRepository extends AbstractRepository<ProductInfo, String> {
}
| Java | 2 | zeesh49/tutorials | aws/src/main/java/com/baeldung/dynamodb/repository/ProductInfoRepository.java | [
"MIT"
] |
function _enhancd_cd_builtin
set -l code 0
_enhancd_cd_before
builtin cd $argv
set code $status
_enhancd_cd_after
return $code
end | fish | 4 | d3dave/enhancd | functions/_enhancd_cd_builtin.fish | [
"MIT"
] |
# Copyright 2021 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.
# ==============================================================================
"""Metrics model generator for Blazeface.
The produced model is to be used as part of the mini-benchmark, combined into
the same flatbuffer with the main model.
The blazeface model is described in
https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1
The metrics are roughly equivalent to the training time loss function for SSD
(https://arxiv.org/abs/1512.02325): localization loss and classification loss.
The localization loss is MSE (L2-norm) of box encodings over high-probability
boxes. A box encoding contains the size and location difference between the
prediction and the prototype box (see section 2 in the linked paper).
The classification loss is symmetric KL-divergence over classification scores
squashed to 0..1.
This follows the general rationale of the mini-benchmark: use as much of the
model outputs as possible for metrics, so that less example data is needed.
"""
import argparse
import sys
# TODO(b/152872335): (re-)port to tf v2 after output names are kept during
# conversion in v2.
import tensorflow.compat.v1 as tf
from tensorflow.lite.experimental.acceleration.mini_benchmark.metrics import kl_divergence
parser = argparse.ArgumentParser(
description='Script to generate a metrics model for the Blazeface.')
parser.add_argument('output', help='Output filepath')
@tf.function
def metrics(expected_box_encodings, expected_scores, actual_box_encodings,
actual_scores):
"""Calculate metrics from expected and actual blazeface outputs.
Args:
expected_box_encodings: box encodings from model
expected_scores: classifications from model
actual_box_encodings: golden box encodings
actual_scores: golden classifications
Returns:
two-item list with classification error and localization error
"""
squashed_expected_scores = tf.math.divide(1.0,
1.0 + tf.math.exp(-expected_scores))
squashed_actual_scores = tf.math.divide(1.0,
1.0 + tf.math.exp(-actual_scores))
kld_metric = kl_divergence.symmetric_kl_divergence(expected_scores,
actual_scores)
# ML Kit uses 0.5 as the threshold. We use
# 0.1 to use more possible boxes based on experimentation with the model.
high_scoring_indices = tf.math.logical_or(
tf.math.greater(squashed_expected_scores, 0.1),
tf.math.greater(squashed_actual_scores, 0.1))
high_scoring_actual_boxes = tf.where(
condition=tf.broadcast_to(
input=high_scoring_indices, shape=tf.shape(actual_box_encodings)),
x=actual_box_encodings,
y=expected_box_encodings)
box_diff = high_scoring_actual_boxes - expected_box_encodings
box_squared_diff = tf.math.pow(box_diff, 2)
# MSE is calculated over the high-scoring boxes.
box_mse = tf.divide(
tf.math.reduce_sum(box_squared_diff),
tf.math.maximum(
tf.math.count_nonzero(high_scoring_indices, dtype=tf.float32), 1.0))
# Thresholds were determined experimentally by running validation on a variety
# of devices. Known good devices give KLD ~10-e7 and MSE ~10-e12. A buggy
# NNAPI implementation gives KLD > 200 and MSE > 100.
ok = tf.logical_and(kld_metric < 0.1, box_mse < 0.01)
return [kld_metric, box_mse, ok]
def main(output_path):
tf.reset_default_graph()
with tf.Graph().as_default():
expected_box_encodings = tf.placeholder(
dtype=tf.float32, shape=[1, 564, 16])
expected_scores = tf.placeholder(dtype=tf.float32, shape=[1, 564, 1])
actual_box_encodings = tf.placeholder(dtype=tf.float32, shape=[1, 564, 16])
actual_scores = tf.placeholder(dtype=tf.float32, shape=[1, 564, 1])
[kld_metric, box_mse, ok] = metrics(expected_box_encodings, expected_scores,
actual_box_encodings, actual_scores)
ok = tf.reshape(ok, [1], name='ok')
kld_metric = tf.reshape(kld_metric, [1], name='symmetric_kl_divergence')
box_mse = tf.reshape(box_mse, [1], name='box_mse')
sess = tf.compat.v1.Session()
converter = tf.lite.TFLiteConverter.from_session(sess, [
expected_box_encodings, expected_scores, actual_box_encodings,
actual_scores
], [kld_metric, box_mse, ok])
converter.experimental_new_converter = True
tflite_model = converter.convert()
open(output_path, 'wb').write(tflite_model)
if __name__ == '__main__':
flags, unparsed = parser.parse_known_args()
if unparsed:
parser.print_usage()
sys.stderr.write('\nGot the following unparsed args, %r please fix.\n' %
unparsed)
exit(1)
else:
main(flags.output)
exit(0)
| Python | 4 | EricRemmerswaal/tensorflow | tensorflow/lite/experimental/acceleration/mini_benchmark/metrics/blazeface_metrics.py | [
"Apache-2.0"
] |
<div class="code">
<pre><code>
├── blog
│ ├── _index.md [section]
│ ├── first-post.md [page]
│ └── second-post
│ ├── index.md [page bundle]
│ └── photo.jpg [page resource]
└── tags
├── _index.md [taxonomy]
└── funny
└── _index.md [term]
</code></pre>
</div> | HTML | 2 | Ondoz/hugo | docs/layouts/shortcodes/content-tree.html | [
"Apache-2.0"
] |
set PROD;
param prix{PROD} >= 0;
param impact{PROD} >= 0;
param budget >= 0;
param conMIN{PROD} >= 0;
var nb_min_page{m in PROD} >= conMIN[m];
maximize impacte :
sum {m in PROD} impact[m] * nb_min_page[m];
subject to cbudget :
sum {m in PROD}
(prix[m] * nb_min_page[m]) <= budget;
data;
set PROD := TV magazine;
param budget = 100;
param: prix impact conMIN :=
TV 2 1.8 10
magazine 1 1 0; | AMPL | 4 | gaterfy/L3S5 | aro/tp2/tp2_exo2.ampl | [
"MIT"
] |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. 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.
""" Testing suite for the PyTorch ConvBERT model. """
import os
import tempfile
import unittest
from tests.test_modeling_common import floats_tensor
from transformers import ConvBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
from .test_configuration_common import ConfigTester
from .test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
if is_torch_available():
import torch
from transformers import (
MODEL_FOR_QUESTION_ANSWERING_MAPPING,
ConvBertForMaskedLM,
ConvBertForMultipleChoice,
ConvBertForQuestionAnswering,
ConvBertForSequenceClassification,
ConvBertForTokenClassification,
ConvBertModel,
)
from transformers.models.convbert.modeling_convbert import CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST
class ConvBertModelTester:
def __init__(
self,
parent,
batch_size=13,
seq_length=7,
is_training=True,
use_input_mask=True,
use_token_type_ids=True,
use_labels=True,
vocab_size=99,
hidden_size=32,
num_hidden_layers=5,
num_attention_heads=4,
intermediate_size=37,
hidden_act="gelu",
hidden_dropout_prob=0.1,
attention_probs_dropout_prob=0.1,
max_position_embeddings=512,
type_vocab_size=16,
type_sequence_label_size=2,
initializer_range=0.02,
num_labels=3,
num_choices=4,
scope=None,
):
self.parent = parent
self.batch_size = batch_size
self.seq_length = seq_length
self.is_training = is_training
self.use_input_mask = use_input_mask
self.use_token_type_ids = use_token_type_ids
self.use_labels = use_labels
self.vocab_size = vocab_size
self.hidden_size = hidden_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
self.intermediate_size = intermediate_size
self.hidden_act = hidden_act
self.hidden_dropout_prob = hidden_dropout_prob
self.attention_probs_dropout_prob = attention_probs_dropout_prob
self.max_position_embeddings = max_position_embeddings
self.type_vocab_size = type_vocab_size
self.type_sequence_label_size = type_sequence_label_size
self.initializer_range = initializer_range
self.num_labels = num_labels
self.num_choices = num_choices
self.scope = scope
def prepare_config_and_inputs(self):
input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)
input_mask = None
if self.use_input_mask:
input_mask = random_attention_mask([self.batch_size, self.seq_length])
token_type_ids = None
if self.use_token_type_ids:
token_type_ids = ids_tensor([self.batch_size, self.seq_length], self.type_vocab_size)
sequence_labels = None
token_labels = None
choice_labels = None
if self.use_labels:
sequence_labels = ids_tensor([self.batch_size], self.type_sequence_label_size)
token_labels = ids_tensor([self.batch_size, self.seq_length], self.num_labels)
choice_labels = ids_tensor([self.batch_size], self.num_choices)
config = self.get_config()
return config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
def get_config(self):
return ConvBertConfig(
vocab_size=self.vocab_size,
hidden_size=self.hidden_size,
num_hidden_layers=self.num_hidden_layers,
num_attention_heads=self.num_attention_heads,
intermediate_size=self.intermediate_size,
hidden_act=self.hidden_act,
hidden_dropout_prob=self.hidden_dropout_prob,
attention_probs_dropout_prob=self.attention_probs_dropout_prob,
max_position_embeddings=self.max_position_embeddings,
type_vocab_size=self.type_vocab_size,
is_decoder=False,
initializer_range=self.initializer_range,
)
def prepare_config_and_inputs_for_decoder(self):
(
config,
input_ids,
token_type_ids,
input_mask,
sequence_labels,
token_labels,
choice_labels,
) = self.prepare_config_and_inputs()
config.is_decoder = True
encoder_hidden_states = floats_tensor([self.batch_size, self.seq_length, self.hidden_size])
encoder_attention_mask = ids_tensor([self.batch_size, self.seq_length], vocab_size=2)
return (
config,
input_ids,
token_type_ids,
input_mask,
sequence_labels,
token_labels,
choice_labels,
encoder_hidden_states,
encoder_attention_mask,
)
def create_and_check_model(
self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
):
model = ConvBertModel(config=config)
model.to(torch_device)
model.eval()
result = model(input_ids, attention_mask=input_mask, token_type_ids=token_type_ids)
result = model(input_ids, token_type_ids=token_type_ids)
result = model(input_ids)
self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size))
def create_and_check_for_masked_lm(
self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
):
model = ConvBertForMaskedLM(config=config)
model.to(torch_device)
model.eval()
result = model(input_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels)
self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
def create_and_check_for_question_answering(
self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
):
model = ConvBertForQuestionAnswering(config=config)
model.to(torch_device)
model.eval()
result = model(
input_ids,
attention_mask=input_mask,
token_type_ids=token_type_ids,
start_positions=sequence_labels,
end_positions=sequence_labels,
)
self.parent.assertEqual(result.start_logits.shape, (self.batch_size, self.seq_length))
self.parent.assertEqual(result.end_logits.shape, (self.batch_size, self.seq_length))
def create_and_check_for_sequence_classification(
self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
):
config.num_labels = self.num_labels
model = ConvBertForSequenceClassification(config)
model.to(torch_device)
model.eval()
result = model(input_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=sequence_labels)
self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_labels))
def create_and_check_for_token_classification(
self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
):
config.num_labels = self.num_labels
model = ConvBertForTokenClassification(config=config)
model.to(torch_device)
model.eval()
result = model(input_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels)
self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.num_labels))
def create_and_check_for_multiple_choice(
self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
):
config.num_choices = self.num_choices
model = ConvBertForMultipleChoice(config=config)
model.to(torch_device)
model.eval()
multiple_choice_inputs_ids = input_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous()
multiple_choice_token_type_ids = token_type_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous()
multiple_choice_input_mask = input_mask.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous()
result = model(
multiple_choice_inputs_ids,
attention_mask=multiple_choice_input_mask,
token_type_ids=multiple_choice_token_type_ids,
labels=choice_labels,
)
self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_choices))
def prepare_config_and_inputs_for_common(self):
config_and_inputs = self.prepare_config_and_inputs()
(
config,
input_ids,
token_type_ids,
input_mask,
sequence_labels,
token_labels,
choice_labels,
) = config_and_inputs
inputs_dict = {"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": input_mask}
return config, inputs_dict
@require_torch
class ConvBertModelTest(ModelTesterMixin, unittest.TestCase):
all_model_classes = (
(
ConvBertModel,
ConvBertForMaskedLM,
ConvBertForMultipleChoice,
ConvBertForQuestionAnswering,
ConvBertForSequenceClassification,
ConvBertForTokenClassification,
)
if is_torch_available()
else ()
)
test_pruning = False
test_head_masking = False
test_sequence_classification_problem_types = True
def setUp(self):
self.model_tester = ConvBertModelTester(self)
self.config_tester = ConfigTester(self, config_class=ConvBertConfig, hidden_size=37)
def test_config(self):
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_model(*config_and_inputs)
def test_for_masked_lm(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_for_masked_lm(*config_and_inputs)
def test_for_multiple_choice(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_for_multiple_choice(*config_and_inputs)
def test_for_question_answering(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
def test_for_sequence_classification(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_for_sequence_classification(*config_and_inputs)
def test_for_token_classification(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_for_token_classification(*config_and_inputs)
@slow
def test_model_from_pretrained(self):
for model_name in CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = ConvBertModel.from_pretrained(model_name)
self.assertIsNotNone(model)
def test_attention_outputs(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
config.return_dict = True
seq_len = getattr(self.model_tester, "seq_length", None)
decoder_seq_length = getattr(self.model_tester, "decoder_seq_length", seq_len)
encoder_seq_length = getattr(self.model_tester, "encoder_seq_length", seq_len)
decoder_key_length = getattr(self.model_tester, "decoder_key_length", decoder_seq_length)
encoder_key_length = getattr(self.model_tester, "key_length", encoder_seq_length)
chunk_length = getattr(self.model_tester, "chunk_length", None)
if chunk_length is not None and hasattr(self.model_tester, "num_hashes"):
encoder_seq_length = encoder_seq_length * self.model_tester.num_hashes
for model_class in self.all_model_classes:
inputs_dict["output_attentions"] = True
inputs_dict["output_hidden_states"] = False
config.return_dict = True
model = model_class(config)
model.to(torch_device)
model.eval()
with torch.no_grad():
outputs = model(**self._prepare_for_class(inputs_dict, model_class))
attentions = outputs.encoder_attentions if config.is_encoder_decoder else outputs.attentions
self.assertEqual(len(attentions), self.model_tester.num_hidden_layers)
# check that output_attentions also work using config
del inputs_dict["output_attentions"]
config.output_attentions = True
model = model_class(config)
model.to(torch_device)
model.eval()
with torch.no_grad():
outputs = model(**self._prepare_for_class(inputs_dict, model_class))
attentions = outputs.encoder_attentions if config.is_encoder_decoder else outputs.attentions
self.assertEqual(len(attentions), self.model_tester.num_hidden_layers)
if chunk_length is not None:
self.assertListEqual(
list(attentions[0].shape[-4:]),
[self.model_tester.num_attention_heads / 2, encoder_seq_length, chunk_length, encoder_key_length],
)
else:
self.assertListEqual(
list(attentions[0].shape[-3:]),
[self.model_tester.num_attention_heads / 2, encoder_seq_length, encoder_key_length],
)
out_len = len(outputs)
if self.is_encoder_decoder:
correct_outlen = 5
# loss is at first position
if "labels" in inputs_dict:
correct_outlen += 1 # loss is added to beginning
# Question Answering model returns start_logits and end_logits
if model_class in get_values(MODEL_FOR_QUESTION_ANSWERING_MAPPING):
correct_outlen += 1 # start_logits and end_logits instead of only 1 output
if "past_key_values" in outputs:
correct_outlen += 1 # past_key_values have been returned
self.assertEqual(out_len, correct_outlen)
# decoder attentions
decoder_attentions = outputs.decoder_attentions
self.assertIsInstance(decoder_attentions, (list, tuple))
self.assertEqual(len(decoder_attentions), self.model_tester.num_hidden_layers)
self.assertListEqual(
list(decoder_attentions[0].shape[-3:]),
[self.model_tester.num_attention_heads, decoder_seq_length, decoder_key_length],
)
# cross attentions
cross_attentions = outputs.cross_attentions
self.assertIsInstance(cross_attentions, (list, tuple))
self.assertEqual(len(cross_attentions), self.model_tester.num_hidden_layers)
self.assertListEqual(
list(cross_attentions[0].shape[-3:]),
[
self.model_tester.num_attention_heads,
decoder_seq_length,
encoder_key_length,
],
)
# Check attention is always last and order is fine
inputs_dict["output_attentions"] = True
inputs_dict["output_hidden_states"] = True
model = model_class(config)
model.to(torch_device)
model.eval()
with torch.no_grad():
outputs = model(**self._prepare_for_class(inputs_dict, model_class))
if hasattr(self.model_tester, "num_hidden_states_types"):
added_hidden_states = self.model_tester.num_hidden_states_types
elif self.is_encoder_decoder:
added_hidden_states = 2
else:
added_hidden_states = 1
self.assertEqual(out_len + added_hidden_states, len(outputs))
self_attentions = outputs.encoder_attentions if config.is_encoder_decoder else outputs.attentions
self.assertEqual(len(self_attentions), self.model_tester.num_hidden_layers)
if chunk_length is not None:
self.assertListEqual(
list(self_attentions[0].shape[-4:]),
[self.model_tester.num_attention_heads / 2, encoder_seq_length, chunk_length, encoder_key_length],
)
else:
self.assertListEqual(
list(self_attentions[0].shape[-3:]),
[self.model_tester.num_attention_heads / 2, encoder_seq_length, encoder_key_length],
)
@slow
@require_torch_gpu
def test_torchscript_device_change(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
for model_class in self.all_model_classes:
# ConvBertForMultipleChoice behaves incorrectly in JIT environments.
if model_class == ConvBertForMultipleChoice:
return
config.torchscript = True
model = model_class(config=config)
inputs_dict = self._prepare_for_class(inputs_dict, model_class)
traced_model = torch.jit.trace(
model, (inputs_dict["input_ids"].to("cpu"), inputs_dict["attention_mask"].to("cpu"))
)
with tempfile.TemporaryDirectory() as tmp:
torch.jit.save(traced_model, os.path.join(tmp, "traced_model.pt"))
loaded = torch.jit.load(os.path.join(tmp, "traced_model.pt"), map_location=torch_device)
loaded(inputs_dict["input_ids"].to(torch_device), inputs_dict["attention_mask"].to(torch_device))
@require_torch
class ConvBertModelIntegrationTest(unittest.TestCase):
@slow
def test_inference_no_head(self):
model = ConvBertModel.from_pretrained("YituTech/conv-bert-base")
input_ids = torch.tensor([[1, 2, 3, 4, 5, 6]])
output = model(input_ids)[0]
expected_shape = torch.Size((1, 6, 768))
self.assertEqual(output.shape, expected_shape)
expected_slice = torch.tensor(
[[[-0.0864, -0.4898, -0.3677], [0.1434, -0.2952, -0.7640], [-0.0112, -0.4432, -0.5432]]]
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4))
| Python | 5 | HimashiRathnayake/adapter-transformers | tests/test_modeling_convbert.py | [
"Apache-2.0"
] |
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*/
package org.apache.spark.ml.tree.impl
import scala.collection.JavaConverters._
import org.apache.spark.{SparkContext, SparkFunSuite}
import org.apache.spark.api.java.JavaRDD
import org.apache.spark.ml.attribute.{AttributeGroup, NominalAttribute, NumericAttribute}
import org.apache.spark.ml.feature.{Instance, LabeledPoint}
import org.apache.spark.ml.linalg.{Vector, Vectors}
import org.apache.spark.ml.tree._
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{DataFrame, SparkSession}
private[ml] object TreeTests extends SparkFunSuite {
/**
* Convert the given data to a DataFrame, and set the features and label metadata.
*
* @param data Dataset. Categorical features and labels must already have 0-based indices.
* This must be non-empty.
* @param categoricalFeatures Map: categorical feature index to number of distinct values
* @param numClasses Number of classes label can take. If 0, mark as continuous.
* @return DataFrame with metadata
*/
def setMetadata(
data: RDD[_],
categoricalFeatures: Map[Int, Int],
numClasses: Int): DataFrame = {
val dataOfInstance: RDD[Instance] = data.map {
_ match {
case instance: Instance => instance
case labeledPoint: LabeledPoint => labeledPoint.toInstance
}
}
val spark = SparkSession.builder()
.sparkContext(data.sparkContext)
.getOrCreate()
import spark.implicits._
val df = dataOfInstance.toDF()
val numFeatures = dataOfInstance.first().features.size
val featuresAttributes = Range(0, numFeatures).map { feature =>
if (categoricalFeatures.contains(feature)) {
NominalAttribute.defaultAttr.withIndex(feature).withNumValues(categoricalFeatures(feature))
} else {
NumericAttribute.defaultAttr.withIndex(feature)
}
}.toArray
val featuresMetadata = new AttributeGroup("features", featuresAttributes).toMetadata()
val labelAttribute = if (numClasses == 0) {
NumericAttribute.defaultAttr.withName("label")
} else {
NominalAttribute.defaultAttr.withName("label").withNumValues(numClasses)
}
val labelMetadata = labelAttribute.toMetadata()
df.select(df("features").as("features", featuresMetadata),
df("label").as("label", labelMetadata), df("weight"))
}
/**
* Java-friendly version of `setMetadata()`
*/
def setMetadata(
data: JavaRDD[LabeledPoint],
categoricalFeatures: java.util.Map[java.lang.Integer, java.lang.Integer],
numClasses: Int): DataFrame = {
setMetadata(data.rdd, categoricalFeatures.asInstanceOf[java.util.Map[Int, Int]].asScala.toMap,
numClasses)
}
/**
* Set label metadata (particularly the number of classes) on a DataFrame.
*
* @param data Dataset. Categorical features and labels must already have 0-based indices.
* This must be non-empty.
* @param numClasses Number of classes label can take. If 0, mark as continuous.
* @param labelColName Name of the label column on which to set the metadata.
* @param featuresColName Name of the features column
* @return DataFrame with metadata
*/
def setMetadata(
data: DataFrame,
numClasses: Int,
labelColName: String,
featuresColName: String): DataFrame = {
val labelAttribute = if (numClasses == 0) {
NumericAttribute.defaultAttr.withName(labelColName)
} else {
NominalAttribute.defaultAttr.withName(labelColName).withNumValues(numClasses)
}
val labelMetadata = labelAttribute.toMetadata()
data.select(data(featuresColName), data(labelColName).as(labelColName, labelMetadata))
}
/**
* Check if the two trees are exactly the same.
* Note: I hesitate to override Node.equals since it could cause problems if users
* make mistakes such as creating loops of Nodes.
* If the trees are not equal, this prints the two trees and throws an exception.
*/
def checkEqual(a: DecisionTreeModel, b: DecisionTreeModel): Unit = {
try {
checkEqual(a.rootNode, b.rootNode)
} catch {
case ex: Exception =>
fail("checkEqual failed since the two trees were not identical.\n" +
"TREE A:\n" + a.toDebugString + "\n" +
"TREE B:\n" + b.toDebugString + "\n", ex)
}
}
/**
* Return true iff the two nodes and their descendants are exactly the same.
* Note: I hesitate to override Node.equals since it could cause problems if users
* make mistakes such as creating loops of Nodes.
*/
private def checkEqual(a: Node, b: Node): Unit = {
assert(a.prediction ~== b.prediction absTol 1e-8)
assert(a.impurity ~== b.impurity absTol 1e-8)
(a, b) match {
case (aye: InternalNode, bee: InternalNode) =>
assert(aye.split === bee.split)
checkEqual(aye.leftChild, bee.leftChild)
checkEqual(aye.rightChild, bee.rightChild)
case (aye: LeafNode, bee: LeafNode) => // do nothing
case _ =>
fail("Found mismatched nodes")
}
}
/**
* Check if the two models are exactly the same.
* If the models are not equal, this throws an exception.
*/
def checkEqual[M <: DecisionTreeModel](a: TreeEnsembleModel[M], b: TreeEnsembleModel[M]): Unit = {
try {
a.trees.zip(b.trees).foreach { case (treeA, treeB) =>
TreeTests.checkEqual(treeA, treeB)
}
assert(a.treeWeights === b.treeWeights)
} catch {
case ex: Exception => fail(
"checkEqual failed since the two tree ensembles were not identical")
}
}
/**
* Helper method for constructing a tree for testing.
* Given left, right children, construct a parent node.
*
* @param split Split for parent node
* @return Parent node with children attached
*/
def buildParentNode(left: Node, right: Node, split: Split): Node = {
val leftImp = left.impurityStats
val rightImp = right.impurityStats
val parentImp = leftImp.copy.add(rightImp)
val leftWeight = leftImp.count / parentImp.count
val rightWeight = rightImp.count / parentImp.count
val gain = parentImp.calculate() -
(leftWeight * leftImp.calculate() + rightWeight * rightImp.calculate())
val pred = parentImp.predict
new InternalNode(pred, parentImp.calculate(), gain, left, right, split, parentImp)
}
/**
* Create some toy data for testing feature importances.
*/
def featureImportanceData(sc: SparkContext): RDD[LabeledPoint] = sc.parallelize(Seq(
new LabeledPoint(0, Vectors.dense(1, 0, 0, 0, 1)),
new LabeledPoint(1, Vectors.dense(1, 1, 0, 1, 0)),
new LabeledPoint(1, Vectors.dense(1, 1, 0, 0, 0)),
new LabeledPoint(0, Vectors.dense(1, 0, 0, 0, 0)),
new LabeledPoint(1, Vectors.dense(1, 1, 0, 0, 0))
))
/**
* Create some toy data for testing correctness of variance.
*/
def varianceData(sc: SparkContext): RDD[LabeledPoint] = sc.parallelize(Seq(
new LabeledPoint(1.0, Vectors.dense(Array(0.0))),
new LabeledPoint(2.0, Vectors.dense(Array(1.0))),
new LabeledPoint(3.0, Vectors.dense(Array(2.0))),
new LabeledPoint(10.0, Vectors.dense(Array(3.0))),
new LabeledPoint(12.0, Vectors.dense(Array(4.0))),
new LabeledPoint(14.0, Vectors.dense(Array(5.0)))
))
/**
* Mapping from all Params to valid settings which differ from the defaults.
* This is useful for tests which need to exercise all Params, such as save/load.
* This excludes input columns to simplify some tests.
*
* This set of Params is for all Decision Tree-based models.
*/
val allParamSettings: Map[String, Any] = Map(
"checkpointInterval" -> 7,
"seed" -> 543L,
"maxDepth" -> 2,
"maxBins" -> 20,
"minInstancesPerNode" -> 2,
"minInfoGain" -> 1e-14,
"maxMemoryInMB" -> 257,
"cacheNodeIds" -> true
)
/** Data for tree read/write tests which produces a non-trivial tree. */
def getTreeReadWriteData(sc: SparkContext): RDD[LabeledPoint] = {
val arr = Array(
LabeledPoint(0.0, Vectors.dense(0.0, 0.0)),
LabeledPoint(1.0, Vectors.dense(0.0, 1.0)),
LabeledPoint(0.0, Vectors.dense(0.0, 0.0)),
LabeledPoint(0.0, Vectors.dense(0.0, 2.0)),
LabeledPoint(0.0, Vectors.dense(1.0, 0.0)),
LabeledPoint(1.0, Vectors.dense(1.0, 1.0)),
LabeledPoint(1.0, Vectors.dense(1.0, 0.0)),
LabeledPoint(1.0, Vectors.dense(1.0, 2.0)))
sc.parallelize(arr)
}
/**
* Feature vectors used in tree-based transformation.
*/
val leafVectors = Array(
Vectors.dense(0, 1, 3),
Vectors.dense(-1, 2, 1),
Vectors.dense(1, 0, 2),
Vectors.dense(2, 1, 9),
Vectors.dense(0, 2, 6))
val root0 = {
/**
* A tree structure used in tree-based transformation.
*
* root
* / \
* x1 in [0, 2] otherwise
* / \
* node1 leaf2
* / \
* x0 <= 0 x0 > 0
* / \
* leaf0 leaf1
*/
val leaf0 = new LeafNode(0.0, Double.NaN, null)
val leaf1 = new LeafNode(1.0, Double.NaN, null)
val leaf2 = new LeafNode(0.0, Double.NaN, null)
val node1 = new InternalNode(0.0, Double.NaN, Double.NaN, leaf0, leaf1,
new ContinuousSplit(0, 0.0), null)
new InternalNode(0.0, Double.NaN, Double.NaN, node1, leaf2,
new CategoricalSplit(1, Array(0.0, 2.0), 3), null)
}
/**
* The leaf indices of vectors after transformation by root0.
*/
val leafIndices0 = Array(2.0, 0.0, 1.0, 2.0, 0.0)
val root1 = {
/**
* A tree structure used in tree-based transformation.
*
* root
* / \
* x2 <= 1 x2 > 1
* / \
* leaf0 node1
* / \
* x1 in [0, 1] otherwise
* / \
* leaf1 leaf2
*/
val leaf0 = new LeafNode(0.0, Double.NaN, null)
val leaf1 = new LeafNode(1.0, Double.NaN, null)
val leaf2 = new LeafNode(0.0, Double.NaN, null)
val node1 = new InternalNode(0.0, Double.NaN, Double.NaN, leaf1, leaf2,
new CategoricalSplit(1, Array(0.0, 1.0), 3), null)
new InternalNode(0.0, Double.NaN, Double.NaN, leaf0, node1,
new ContinuousSplit(2, 1.0), null)
}
/**
* The leaf indices of vectors after transformation by root1.
*/
val leafIndices1 = Array(1.0, 0.0, 1.0, 1.0, 2.0)
def getSingleTreeLeafData: Array[(Double, Vector)] =
leafIndices0.zip(leafVectors)
def getTwoTreesLeafData: Array[(Vector, Vector)] =
leafIndices0.zip(leafIndices1).zip(leafVectors)
.map { case ((i0, i1), vec) => (Vectors.dense(i0, i1), vec) }
}
| Scala | 5 | OlegPt/spark | mllib/src/test/scala/org/apache/spark/ml/tree/impl/TreeTests.scala | [
"Apache-2.0"
] |
#pragma TextEncoding = "UTF-8"
#pragma rtGlobals=3
#include "SIDAM_InfoBar"
#include "SIDAM_Range"
#include "SIDAM_ScaleBar"
#include "SIDAM_Trace"
#ifndef SIDAMshowProc
#pragma hide = 1
#endif
//******************************************************************************
// deprecated functions, to be removed in future
//******************************************************************************
// print a list of deprecated functions in the history window
Function/S SIDAMDeprecatedFunctions()
String fnName, fnList = FunctionList("*", ";", "KIND:2")
String fileName, deprecatedList = ""
int i, n
for (i = 0, n = ItemsInList(fnList); i < n; i++)
fnName = StringFromList(i,fnList)
fileName = StringByKey("PROCWIN", FunctionInfo(fnName))
if (CmpStr(filename, "SIDAM_Compatibility_Old_Functions.ipf"))
continue
endif
deprecatedList += fnName+";"
endfor
return deprecatedList
End
// print caution in the history window
Static Function deprecatedCaution(String newName)
if (strlen(newName))
printf "%s%s is deprecated. Use %s.\r", PRESTR_CAUTION, GetRTStackInfo(2), newName
else
printf "%s%s is deprecated and will be removed in future.\r", PRESTR_CAUTION, GetRTStackInfo(2)
endif
String info = GetRTStackInfo(3)
Make/T/N=3/FREE tw = StringFromList(p,StringFromList(ItemsInList(info)-3,info),",")
if (strlen(tw[0]))
printf "%s(called from \"%s\" in %s (line %s))\r", PRESTR_CAUTION, tw[0], tw[1], tw[2]
endif
End
Function KMTraceOffset([String grfName, Variable xoffset, Variable yoffset, int fill])
deprecatedCaution("SIDAMTraceOffset")
SIDAMTraceOffset(grfName=grfName, xoffset=xoffset, yoffset=yoffset, fill=fill)
End
Function KMTraceColor([String grfName, String clrTab, STRUCT RGBColor &clr])
deprecatedCaution("SIDAMTraceColor")
SIDAMTraceColor(grfName=grfName, clrTab=clrTab, clr=clr)
End
Function KMFourierPeakGetPos( Wave w,int fitfn,[int marquee])
deprecatedCaution("SIDAMPeakPos")
End
Function/WAVE KMLoadData(String pathStr, [int folder, int history])
deprecatedCaution("SIDAMLoadData")
End
Function KMLayerViewerDo(String grfName, [Wave/Z w, int index, int direction])
deprecatedCaution("")
End
Function KMInfoBar(String grfName)
deprecatedCaution("SIDAMInfoBar")
SIDAMInfoBar(grfName)
End
Function KMRange([String grfName, String imgList, Variable zmin, Variable zmax,
int zminmode, int zmaxmode, int history])
deprecatedCaution("SIDAMRange")
SIDAMRange(grfName=grfName, imgList=imgList, zmin=zmin, zmax=zmax, zminmode=zminmode, zmaxmode=zmaxmode)
End
Function/WAVE KMLineSpectra(Wave/Z w, Variable p1, Variable q1, Variable p2,
Variable q2, [String result, int mode, int output, int history])
deprecatedCaution("SIDAMLineSpectra")
End
Function/WAVE KMLineProfile(Wave/Z w,Variable p1,Variable q1,Variable p2,
Variable q2,[Variable width,int output,int history,String result])
deprecatedCaution("SIDAMLineProfile")
End
Function/WAVE KMCorrelation(Wave/Z w1,[Wave/Z w2,String result,int subtract,
int normalize,int origin,int history])
deprecatedCaution("SIDAMCorrelation")
End
Function KMSubtraction(Wave/Z w, [Wave roi, int mode, int degree, int direction,
int index, int history, String result])
deprecatedCaution("SIDAMSubtraction")
End
Function KMFilter(Wave/Z srcw, Wave/Z paramw,
[String result, int invert, int endeffect, int history])
deprecatedCaution("SIDAMFilter")
End
Function KMFourierSym(Wave w, Wave q1w, Wave q2w, int sym, [int shear,
int endeffect, String result, int history])
deprecatedCaution("SIDAMFourierSym")
End
Function KMFFT(Wave/Z w, [String result, String win, int out,
int subtract, int history])
deprecatedCaution("SIDAMFFT")
End
Function KMWorkfunction(Wave/Z w, [String result, int startp, int endp,
Variable offset])
deprecatedCaution("SIDAMWorkfunction")
End
Function KMHistogram(Wave/Z w, [String result, Variable startz, Variable endz,
Variable deltaz, int bins, int cumulative, int normalize,
int cmplxmode, int history])
deprecatedCaution("SIDAMHistogram")
End
Function KMScalebar([String grfName,String anchor,int size,
Wave fgRGBA, Wave bgRGBA,int history])
deprecatedCaution("SIDAMScalebar")
SIDAMScalebar(grfName=grfName,anchor=anchor,size=size,\
fgRGBA=fgRGBA,bgRGBA=bgRGBA)
End | IGOR Pro | 4 | yuksk/SIDAM | src/SIDAM/func/SIDAM_Compatibility_Old_Functions.ipf | [
"MIT"
] |
<input
matInput
[matDatepicker]="picker"
[(ngModel)]="date"
[min]="minDate">
<mat-datepicker #picker></mat-datepicker>
| HTML | 3 | tungyingwaltz/components | src/components-examples/material/datepicker/datepicker-harness/datepicker-harness-example.html | [
"MIT"
] |
/* Copyright 2020 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.
==============================================================================*/
#include "tensorflow/core/profiler/convert/op_stats_to_pod_viewer.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/profiler/convert/op_stats_to_pod_stats.h"
#include "tensorflow/core/profiler/protobuf/pod_stats.pb.h"
#include "tensorflow/core/profiler/protobuf/steps_db.pb.h"
#include "tensorflow/core/profiler/utils/diagnostics.h"
namespace tensorflow {
namespace profiler {
namespace {
PodStatsSequence ConvertOpStatsToPodStatsSequence(const OpStats& op_stats,
PodStatsDatabase pod_stats) {
PodStatsSequence result_db;
// PodStatsDatabase is created using the same iteration order below.
// Thus, we just need to move one record at a time.
int i = 0;
for (const auto& step_sequence : op_stats.step_db().step_sequence()) {
PodStatsMap* pod_stats_map = result_db.add_pod_stats_map();
pod_stats_map->set_step_num(step_sequence.step_num());
for (const auto& entry : step_sequence.step_info_per_core()) {
PodStatsRecord& record =
(*pod_stats_map->mutable_pod_stats_per_core())[entry.first];
DCHECK_LE(i, pod_stats.pod_stats_record_size());
record = std::move(*pod_stats.mutable_pod_stats_record(i++));
}
}
return result_db;
}
} // namespace
PodViewerDatabase ConvertOpStatsToPodViewer(const OpStats& op_stats) {
PodViewerDatabase database;
database.set_device_type(op_stats.run_environment().device_type());
PodStatsDatabase pod_stats = ConvertOpStatsToPodStats(op_stats);
database.mutable_step_breakdown_events()->Swap(
pod_stats.mutable_step_breakdown_events());
*database.mutable_pod_stats_sequence() =
ConvertOpStatsToPodStatsSequence(op_stats, std::move(pod_stats));
PopulateStepDiagnostics(op_stats, database.mutable_diagnostics());
return database;
}
} // namespace profiler
} // namespace tensorflow
| C++ | 4 | EricRemmerswaal/tensorflow | tensorflow/core/profiler/convert/op_stats_to_pod_viewer.cc | [
"Apache-2.0"
] |
////////////////////////////////////////////////////
// ExpDelay - Feedback delay at exponentially //
// changing delay times //
// //
// by Joel Matthys //
// (c) 2014, GPL 2.0 //
// //
////////////////////////////////////////////////////
//
// Settings:
// mix (float): 0-1, dry/wet mix
// max (dur): maximum possible delay duration
// delay (dur): duration of delay
// reps (int): number of repetitions
// durcurve (float) [0.0001-inf]: set steepness of delay curve
// 1 = steady
// <1 = starts fast and slows down
// >1 = starts slow and speeds up
// ampcurve (float) [0.0001-inf]: set steepness of amplitude decay
ModalBar pop => ExpDelay ed => dac;
3::second => ed.max;
3::second => ed.delay;
while (true)
{
Math.random2(54,66) => Std.mtof => pop.freq;
1 => pop.noteOn;
Math.random2f(0.5,2) => ed.durcurve;
Math.random2f(0.5,2) => ed.ampcurve;
Math.random2(5,30) => ed.reps;
<<< "durcurve:",ed.durcurve(), "ampcurve:",ed.ampcurve(), "reps:",ed.reps() >>>;
4::second => now;
}
| ChucK | 4 | ccdarabundit/chugins | ExpDelay/expdelay-help.ck | [
"MIT"
] |
module.exports = "shared";
| JavaScript | 1 | 1shenxi/webpack | test/configCases/split-chunks-common/hot-multi/shared.js | [
"MIT"
] |
// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
using System.Linq;
using Microsoft.AspNetCore.Razor.Language.Intermediate;
using Microsoft.AspNetCore.Testing;
using Xunit;
namespace Microsoft.AspNetCore.Razor.Language.Extensions
{
public class DefaultTagHelperOptimizationPassTest
{
[Fact]
public void DefaultTagHelperOptimizationPass_Execute_ReplacesChildren()
{
// Arrange
var codeDocument = CreateDocument(@"
@addTagHelper TestTagHelper, TestAssembly
<p foo=""17"" attr=""value"">");
var tagHelpers = new[]
{
TagHelperDescriptorBuilder.Create("TestTagHelper", "TestAssembly")
.TypeName("TestTagHelper")
.BoundAttributeDescriptor(attribute => attribute
.Name("Foo")
.TypeName("System.Int32")
.PropertyName("FooProp"))
.TagMatchingRuleDescriptor(rule => rule.RequireTagName("p"))
.Build()
};
var engine = CreateEngine(tagHelpers);
var pass = new DefaultTagHelperOptimizationPass()
{
Engine = engine
};
var irDocument = CreateIRDocument(engine, codeDocument);
// Act
pass.Execute(codeDocument, irDocument);
// Assert
var @class = irDocument.FindPrimaryClass();
Assert.IsType<DefaultTagHelperRuntimeIntermediateNode>(@class.Children[0]);
var fieldDeclaration = Assert.IsType<FieldDeclarationIntermediateNode>(@class.Children[1]);
Assert.Equal(bool.TrueString, fieldDeclaration.Annotations[CommonAnnotations.DefaultTagHelperExtension.TagHelperField]);
Assert.Equal("__TestTagHelper", fieldDeclaration.FieldName);
Assert.Equal("global::TestTagHelper", fieldDeclaration.FieldType);
Assert.Equal("private", fieldDeclaration.Modifiers.First());
var tagHelper = FindTagHelperNode(irDocument);
Assert.Equal(5, tagHelper.Children.Count);
var body = Assert.IsType<DefaultTagHelperBodyIntermediateNode>(tagHelper.Children[0]);
Assert.Equal("p", body.TagName);
Assert.Equal(TagMode.StartTagAndEndTag, body.TagMode);
var create = Assert.IsType<DefaultTagHelperCreateIntermediateNode>(tagHelper.Children[1]);
Assert.Equal("__TestTagHelper", create.FieldName);
Assert.Equal("TestTagHelper", create.TypeName);
Assert.Equal(tagHelpers[0], create.TagHelper, TagHelperDescriptorComparer.Default);
var property = Assert.IsType<DefaultTagHelperPropertyIntermediateNode>(tagHelper.Children[2]);
Assert.Equal("foo", property.AttributeName);
Assert.Equal(AttributeStructure.DoubleQuotes, property.AttributeStructure);
Assert.Equal(tagHelpers[0].BoundAttributes[0], property.BoundAttribute, BoundAttributeDescriptorComparer.Default);
Assert.Equal("__TestTagHelper", property.FieldName);
Assert.False(property.IsIndexerNameMatch);
Assert.Equal("FooProp", property.PropertyName);
Assert.Equal(tagHelpers[0], property.TagHelper, TagHelperDescriptorComparer.Default);
var htmlAttribute = Assert.IsType<DefaultTagHelperHtmlAttributeIntermediateNode>(tagHelper.Children[3]);
Assert.Equal("attr", htmlAttribute.AttributeName);
Assert.Equal(AttributeStructure.DoubleQuotes, htmlAttribute.AttributeStructure);
Assert.IsType<DefaultTagHelperExecuteIntermediateNode>(tagHelper.Children[4]);
}
private RazorCodeDocument CreateDocument(string content)
{
var source = RazorSourceDocument.Create(content, "test.cshtml");
return RazorCodeDocument.Create(source);
}
private RazorEngine CreateEngine(params TagHelperDescriptor[] tagHelpers)
{
return RazorProjectEngine.Create(b =>
{
b.Features.Add(new TestTagHelperFeature(tagHelpers));
}).Engine;
}
private DocumentIntermediateNode CreateIRDocument(RazorEngine engine, RazorCodeDocument codeDocument)
{
for (var i = 0; i < engine.Phases.Count; i++)
{
var phase = engine.Phases[i];
phase.Execute(codeDocument);
if (phase is IRazorDirectiveClassifierPhase)
{
break;
}
}
return codeDocument.GetDocumentIntermediateNode();
}
private TagHelperIntermediateNode FindTagHelperNode(IntermediateNode node)
{
var visitor = new TagHelperNodeVisitor();
visitor.Visit(node);
return visitor.Node;
}
private class TagHelperNodeVisitor : IntermediateNodeWalker
{
public TagHelperIntermediateNode Node { get; set; }
public override void VisitTagHelper(TagHelperIntermediateNode node)
{
Node = node;
}
}
}
}
| C# | 5 | tomaswesterlund/aspnetcore | src/Razor/Microsoft.AspNetCore.Razor.Language/test/Extensions/DefaultTagHelperOptimizationPassTest.cs | [
"MIT"
] |
%!PS-Adobe-3.0 Resource-Encoding
%%Title: VIM-iso-8859-4
%%Version: 1.0 0
%%EndComments
/VIM-iso-8859-4[
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/space /exclam /quotedbl /numbersign /dollar /percent /ampersand /quotesingle
/parenleft /parenright /asterisk /plus /comma /minus /period /slash
/zero /one /two /three /four /five /six /seven
/eight /nine /colon /semicolon /less /equal /greater /question
/at /A /B /C /D /E /F /G
/H /I /J /K /L /M /N /O
/P /Q /R /S /T /U /V /W
/X /Y /Z /bracketleft /backslash /bracketright /asciicircum /underscore
/grave /a /b /c /d /e /f /g
/h /i /j /k /l /m /n /o
/p /q /r /s /t /u /v /w
/x /y /z /braceleft /bar /braceright /asciitilde /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef
/space /Aogonek /kgreenlandic /Rcedilla /currency /Itilde /Lcedilla /section
/dieresis /Scaron /Emacron /Gcedilla /Tbar /.notdef /Zcaron /macron
/degree /aogonek /ogonek /rcedilla /acute /itilde /lcedilla /caron
/cedilla /scaron /emacron /gcedilla /tbar /Eng /zcaron /eng
/Amacron /Aacute /Acircumflex /Atilde /Adieresis /Aring /AE /Iogonek
/Ccaron /Eacute /Eogonek /Edieresis /Edot /Iacute /Icircumflex /Imacron
/Dcroat /Ncedilla /Omacron /Kcedilla /Ocircumflex /Otilde /Odieresis /multiply
/Oslash /Uogonek /Uacute /Ucircumflex /Udieresis /Utilde /Umacron /germandbls
/amacron /aacute /acircumflex /atilde /adieresis /aring /ae /iogonek
/ccaron /eacute /eogonek /edieresis /edot /iacute /icircumflex /imacron
/dcroat /ncedilla /omacron /kcedilla /ocircumflex /otilde /odieresis /divide
/oslash /uogonek /uacute /ucircumflex /udieresis /utilde /umacron /dotaccent]
/Encoding defineresource pop
% vim:ff=unix:
%%EOF
| PostScript | 1 | uga-rosa/neovim | runtime/print/iso-8859-4.ps | [
"Vim"
] |
import { imageDemoTest } from '../../../tests/shared/imageTest';
describe('Table image', () => {
imageDemoTest('table');
});
| TypeScript | 3 | chnliquan/ant-design | components/table/__tests__/image.test.ts | [
"MIT"
] |
package
{
import flash.external.ExternalInterface;
import flash.utils.setTimeout;
/**
* the utility functions.
*/
public class Utility
{
/**
* total log.
*/
public static var logData:String = "";
/**
* whether string s endswith f.
*/
public static function stringEndswith(s:String, f:String):Boolean {
return s && f && s.indexOf(f) == s.length - f.length;
}
/**
* whether string s startswith f.
*/
public static function stringStartswith(s:String, f:String):Boolean {
return s && f && s.indexOf(f) == 0;
}
/**
* write log to trace and console.log.
* @param msg the log message.
*/
public static function log(js_id:String, msg:String):void {
if (js_id) {
msg = "[" + new Date() +"][srs-player][" + js_id + "] " + msg;
}
logData += msg + "\n";
trace(msg);
if (!flash.external.ExternalInterface.available) {
flash.utils.setTimeout(log, 300, null, msg);
return;
}
ExternalInterface.call("console.log", msg);
}
}
} | ActionScript | 4 | cameritelabs/srs | trunk/research/players/srs_player/src/Utility.as | [
"MIT"
] |
(***********************************************************
Mock Projector
For testing syntax highlighting
************************************************************)
#if_not_defined MOCK_PROJECTOR
#define MOCK_PROJECTOR 1
(***********************************************************)
(* System Type : NetLinx *)
(***********************************************************)
(* DEVICE NUMBER DEFINITIONS GO BELOW *)
(***********************************************************)
DEFINE_DEVICE
dvPROJECTOR = 5001:1:0;
(***********************************************************)
(* CONSTANT DEFINITIONS GO BELOW *)
(***********************************************************)
DEFINE_CONSTANT
// Power States
POWER_STATE_ON = 0;
POWER_STATE_OFF = 1;
POWER_STATE_WARMING = 2;
POWER_STATE_COOLING = 3;
// Inputs
INPUT_HDMI = 0;
INPUT_VGA = 1;
INPUT_COMPOSITE = 2;
INPUT_SVIDEO = 3;
(***********************************************************)
(* INCLUDES GO BELOW *)
(***********************************************************)
#include 'amx-lib-log'
(***********************************************************)
(* DATA TYPE DEFINITIONS GO BELOW *)
(***********************************************************)
DEFINE_TYPE
struct projector_t
{
integer power_state;
integer input;
integer lamp_hours;
}
(***********************************************************)
(* VARIABLE DEFINITIONS GO BELOW *)
(***********************************************************)
DEFINE_VARIABLE
volatile projector_t proj_1;
(***********************************************************)
(* SUBROUTINE/FUNCTION DEFINITIONS GO BELOW *)
(***********************************************************)
define_function initialize(projector_t self)
{
self.power_state = POWER_STATE_OFF;
self.input = INPUT_HDMI;
self.lamp_hours = 0;
}
define_function switch_input(projector_t self, integer input)
{
self.input = input;
print(LOG_LEVEL_INFO, "'Projector set to input: ', itoa(input)");
}
(***********************************************************)
(* STARTUP CODE GOES BELOW *)
(***********************************************************)
DEFINE_START
initialize(proj_1);
(***********************************************************)
(* THE EVENTS GO BELOW *)
(***********************************************************)
DEFINE_EVENT
data_event[dvPROJECTOR]
{
string:
{
parse_message(data.text);
}
command: {}
online: {}
offline: {}
}
button_event[dvTP, BTN_HDMI]
button_event[dvTP, BTN_VGA]
button_event[dvTP, BTN_COMPOSITE]
button_event[dvTP, BTN_SVIDEO]
{
push:
{
switch (button.input.channel)
{
case BTN_HDMI: switch_input(proj_1, INPUT_HDMI);
case BTN_VGA: switch_input(proj_1, INPUT_VGA);
case BTN_COMPOSITE: switch_input(proj_1, INPUT_COMPOSITE);
case BTN_SVIDEO: switch_input(proj_1, INPUT_SVIDEO);
}
}
release: {}
}
(***********************************************************)
(* THE MAINLINE GOES BELOW *)
(***********************************************************)
DEFINE_PROGRAM
[dvTP, BTN_POWER_ON] = (proj_1.power_state == POWER_STATE_ON);
[dvTP, BTN_POWER_OFF] = (proj_1.power_state == POWER_STATE_OFF);
(***********************************************************)
(* END OF PROGRAM *)
(* DO NOT PUT ANY CODE BELOW THIS COMMENT *)
(***********************************************************)
#end_if
| NetLinx | 5 | JavascriptID/sourcerer-app | src/test/resources/samples/langs/NetLinx/projector.axi | [
"MIT"
] |
start_server {tags {"pause network"}} {
test "Test read commands are not blocked by client pause" {
r client PAUSE 100000 WRITE
set rd [redis_deferring_client]
$rd GET FOO
$rd PING
$rd INFO
assert_equal [s 0 blocked_clients] 0
r client unpause
$rd close
}
test "Test write commands are paused by RO" {
r client PAUSE 60000 WRITE
set rd [redis_deferring_client]
$rd SET FOO BAR
wait_for_blocked_clients_count 1 50 100
r client unpause
assert_match "OK" [$rd read]
$rd close
}
test "Test special commands are paused by RO" {
r PFADD pause-hll test
r client PAUSE 100000 WRITE
# Test that pfcount, which can replicate, is also blocked
set rd [redis_deferring_client]
$rd PFCOUNT pause-hll
wait_for_blocked_clients_count 1 50 100
# Test that publish, which adds the message to the replication
# stream is blocked.
set rd2 [redis_deferring_client]
$rd2 publish foo bar
wait_for_blocked_clients_count 2 50 100
r client unpause
assert_match "1" [$rd read]
assert_match "0" [$rd2 read]
$rd close
$rd2 close
}
test "Test read/admin mutli-execs are not blocked by pause RO" {
r SET FOO BAR
r client PAUSE 100000 WRITE
set rr [redis_client]
assert_equal [$rr MULTI] "OK"
assert_equal [$rr PING] "QUEUED"
assert_equal [$rr GET FOO] "QUEUED"
assert_match "PONG BAR" [$rr EXEC]
assert_equal [s 0 blocked_clients] 0
r client unpause
$rr close
}
test "Test write mutli-execs are blocked by pause RO" {
set rd [redis_deferring_client]
$rd MULTI
assert_equal [$rd read] "OK"
$rd SET FOO BAR
assert_equal [$rd read] "QUEUED"
r client PAUSE 60000 WRITE
$rd EXEC
wait_for_blocked_clients_count 1 50 100
r client unpause
assert_match "OK" [$rd read]
$rd close
}
test "Test scripts are blocked by pause RO" {
r client PAUSE 60000 WRITE
set rd [redis_deferring_client]
set rd2 [redis_deferring_client]
$rd EVAL "return 1" 0
# test a script with a shebang and no flags for coverage
$rd2 EVAL {#!lua
return 1
} 0
wait_for_blocked_clients_count 2 50 100
r client unpause
assert_match "1" [$rd read]
assert_match "1" [$rd2 read]
$rd close
$rd2 close
}
test "Test RO scripts are not blocked by pause RO" {
r set x y
# create a function for later
r FUNCTION load replace {#!lua name=f1
redis.register_function{
function_name='f1',
callback=function() return "hello" end,
flags={'no-writes'}
}
}
r client PAUSE 6000000 WRITE
set rr [redis_client]
# test an eval that's for sure not in the script cache
assert_equal [$rr EVAL {#!lua flags=no-writes
return 'unique script'
} 0
] "unique script"
# for sanity, repeat that EVAL on a script that's already cached
assert_equal [$rr EVAL {#!lua flags=no-writes
return 'unique script'
} 0
] "unique script"
# test EVAL_RO on a unique script that's for sure not in the cache
assert_equal [$rr EVAL_RO {
return redis.call('GeT', 'x')..' unique script'
} 1 x
] "y unique script"
# test with evalsha
set sha [$rr script load {#!lua flags=no-writes
return 2
}]
assert_equal [$rr EVALSHA $sha 0] 2
# test with function
assert_equal [$rr fcall f1 0] hello
r client unpause
$rr close
}
test "Test read-only scripts in mutli-exec are not blocked by pause RO" {
r SET FOO BAR
r client PAUSE 100000 WRITE
set rr [redis_client]
assert_equal [$rr MULTI] "OK"
assert_equal [$rr EVAL {#!lua flags=no-writes
return 12
} 0
] QUEUED
assert_equal [$rr EVAL {#!lua flags=no-writes
return 13
} 0
] QUEUED
assert_match "12 13" [$rr EXEC]
assert_equal [s 0 blocked_clients] 0
r client unpause
$rr close
}
test "Test write scripts in mutli-exec are blocked by pause RO" {
set rd [redis_deferring_client]
set rd2 [redis_deferring_client]
# one with a shebang
$rd MULTI
assert_equal [$rd read] "OK"
$rd EVAL {#!lua
return 12
} 0
assert_equal [$rd read] "QUEUED"
# one without a shebang
$rd2 MULTI
assert_equal [$rd2 read] "OK"
$rd2 EVAL {#!lua
return 13
} 0
assert_equal [$rd2 read] "QUEUED"
r client PAUSE 60000 WRITE
$rd EXEC
$rd2 EXEC
wait_for_blocked_clients_count 2 50 100
r client unpause
assert_match "12" [$rd read]
assert_match "13" [$rd2 read]
$rd close
$rd2 close
}
test "Test may-replicate commands are rejected in RO scripts" {
# that's specifically important for CLIENT PAUSE WRITE
assert_error {ERR Write commands are not allowed from read-only scripts. script:*} {
r EVAL_RO "return redis.call('publish','ch','msg')" 0
}
assert_error {ERR Write commands are not allowed from read-only scripts. script:*} {
r EVAL {#!lua flags=no-writes
return redis.call('publish','ch','msg')
} 0
}
# make sure that publish isn't blocked from a non-RO script
assert_equal [r EVAL "return redis.call('publish','ch','msg')" 0] 0
}
test "Test multiple clients can be queued up and unblocked" {
r client PAUSE 60000 WRITE
set clients [list [redis_deferring_client] [redis_deferring_client] [redis_deferring_client]]
foreach client $clients {
$client SET FOO BAR
}
wait_for_blocked_clients_count 3 50 100
r client unpause
foreach client $clients {
assert_match "OK" [$client read]
$client close
}
}
test "Test clients with syntax errors will get responses immediately" {
r client PAUSE 100000 WRITE
catch {r set FOO} err
assert_match "ERR wrong number of arguments for 'set' command" $err
r client unpause
}
test "Test both active and passive expires are skipped during client pause" {
set expired_keys [s 0 expired_keys]
r multi
r set foo{t} bar{t} PX 10
r set bar{t} foo{t} PX 10
r client PAUSE 50000 WRITE
r exec
wait_for_condition 10 100 {
[r get foo{t}] == {} && [r get bar{t}] == {}
} else {
fail "Keys were never logically expired"
}
# No keys should actually have been expired
assert_match $expired_keys [s 0 expired_keys]
r client unpause
# Force the keys to expire
r get foo{t}
r get bar{t}
# Now that clients have been unpaused, expires should go through
assert_match [expr $expired_keys + 2] [s 0 expired_keys]
}
test "Test that client pause starts at the end of a transaction" {
r MULTI
r SET FOO1{t} BAR
r client PAUSE 60000 WRITE
r SET FOO2{t} BAR
r exec
set rd [redis_deferring_client]
$rd SET FOO3{t} BAR
wait_for_blocked_clients_count 1 50 100
assert_match "BAR" [r GET FOO1{t}]
assert_match "BAR" [r GET FOO2{t}]
assert_match "" [r GET FOO3{t}]
r client unpause
assert_match "OK" [$rd read]
$rd close
}
start_server {tags {needs:repl external:skip}} {
set master [srv -1 client]
set master_host [srv -1 host]
set master_port [srv -1 port]
# Avoid PINGs
$master config set repl-ping-replica-period 3600
r replicaof $master_host $master_port
wait_for_condition 50 100 {
[s master_link_status] eq {up}
} else {
fail "Replication not started."
}
test "Test when replica paused, offset would not grow" {
$master set foo bar
set old_master_offset [status $master master_repl_offset]
wait_for_condition 50 100 {
[s slave_repl_offset] == [status $master master_repl_offset]
} else {
fail "Replication offset not matched."
}
r client pause 100000 write
$master set foo2 bar2
# Make sure replica received data from master
wait_for_condition 50 100 {
[s slave_read_repl_offset] == [status $master master_repl_offset]
} else {
fail "Replication not work."
}
# Replica would not apply the write command
assert {[s slave_repl_offset] == $old_master_offset}
r get foo2
} {}
test "Test replica offset would grow after unpause" {
r client unpause
wait_for_condition 50 100 {
[s slave_repl_offset] == [status $master master_repl_offset]
} else {
fail "Replication not continue."
}
r get foo2
} {bar2}
}
# Make sure we unpause at the end
r client unpause
}
| Tcl | 5 | adityavs/redis | tests/unit/pause.tcl | [
"BSD-3-Clause"
] |
# frozen_string_literal: true
require "cases/helper"
module ActiveModel
module Type
class StringTest < ActiveModel::TestCase
test "type casting" do
type = Type::String.new
assert_equal "t", type.cast(true)
assert_equal "f", type.cast(false)
assert_equal "123", type.cast(123)
end
test "type casting for database" do
type = Type::String.new
object, array, hash = Object.new, [true], { a: :b }
assert_equal object, type.serialize(object)
assert_equal array, type.serialize(array)
assert_equal hash, type.serialize(hash)
end
test "cast strings are mutable" do
type = Type::String.new
s = +"foo"
assert_equal false, type.cast(s).frozen?
assert_equal false, s.frozen?
f = -"foo"
assert_equal false, type.cast(f).frozen?
assert_equal true, f.frozen?
end
test "values are duped coming out" do
type = Type::String.new
s = "foo"
assert_not_same s, type.cast(s)
assert_equal s, type.cast(s)
assert_not_same s, type.deserialize(s)
assert_equal s, type.deserialize(s)
end
end
end
end
| Ruby | 4 | Jiwoong/rails | activemodel/test/cases/type/string_test.rb | [
"MIT"
] |
package com.baeldung.nanohttpd;
import static org.junit.Assert.*;
import org.apache.commons.io.IOUtils;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.impl.client.HttpClientBuilder;
import org.junit.BeforeClass;
import org.junit.Test;
import java.io.IOException;
public class ItemGetControllerUnitTest {
private static final String URL = "http://localhost:8071";
private static final HttpClient CLIENT = HttpClientBuilder.create().build();
@BeforeClass
public static void setUp() throws IOException {
new ItemGetController();
}
@Test
public void givenServer_whenDoingGet_thenParamIsReadCorrectly() throws IOException {
HttpResponse response = CLIENT.execute(new HttpGet(URL + "?itemId=1234"));
assertEquals("Requested itemId = 1234", IOUtils.toString(response.getEntity().getContent()));
}
@Test
public void givenServer_whenDoingPost_then404IsReturned() throws IOException {
HttpResponse response = CLIENT.execute(new HttpPost(URL));
assertEquals(404, response.getStatusLine().getStatusCode());
}
} | Java | 4 | DBatOWL/tutorials | libraries-server/src/test/java/com/baeldung/nanohttpd/ItemGetControllerUnitTest.java | [
"MIT"
] |
# Register John.
POST http://localhost:8201/register
Content-Type: application/json
{
"name": "John von Neumann",
"email": "john@gmail.com"
}
###
# Register Julia.
POST http://localhost:8201/register
Content-Type: application/json
{
"name": "Julia Berger",
"email": "julia@gmail.com"
}
###
# Confirm John's registration
GET http://localhost:8201/confirm?correlation=john@gmail.com
Content-Type: application/json
###
# Confirm Julia's registration
GET http://localhost:8201/confirm?correlation=julia@gmail.com
Content-Type: application/json | HTTP | 4 | tomy2105/elsa-core | src/samples/aspnet/Elsa.Samples.CorrelationHttp/workflows.http | [
"MIT"
] |
REBOL [
System: "REBOL [R3] Language Interpreter and Run-time Environment"
Title: "REBOL Graphics - TEXT commands"
Rights: {
Copyright 2012 REBOL Technologies
REBOL is a trademark of REBOL Technologies
}
License: {
Licensed under the Apache License, Version 2.0.
See: http://www.apache.org/licenses/LICENSE-2.0
}
Name: text
Type: extension
Exports: none
Note: "Run make-host-ext.reb to convert"
]
;don't change order of already defined words unless you know what you are doing
words: [
aliased
antialiased
vectorial
;font object words
name
style
size
color
offset
space
shadow
;para object words
origin
margin
indent
tabs
wrap?
scroll
align
valign
;para/align values
center
right
left
;para/valign values
middle
top
bottom
;font/style values
bold
italic
underline
;caret object words
caret
highlight-start
highlight-end
]
;temp hack - will be removed later
init-words: command [
words [block!]
]
init-words words
;please alphabetize the order of commands so it easier to lookup things
anti-alias: command [
"Sets aliasing mode."
state [logic!]
]
b: bold: command [
"Sets font BOLD style."
state [logic!]
]
caret: command [
"Sets paragraph attributes."
caret-attributes [object!]
]
center: command [
"Sets text alignment."
]
color: command [
"Sets font color."
font-color [tuple!]
]
drop: command [
"Removes N previous style setting from the stack."
count [integer!]
]
font: command [
"Sets font attributes."
font-attributes [object!]
]
i: italic: command [
"Sets font ITALIC style."
state [logic!]
]
left: command [
"Sets text alignment."
]
nl: newline: command [
"Breaks the text line."
]
para: command [
"Sets paragraph attributes."
para-attributes [object!]
]
right: command [
"Sets text alignment."
]
scroll: command [
"Sets text position."
offset [pair!]
]
shadow: command [
"Enables shadow effect for text."
offset [pair!]
color [tuple!]
spread [integer!]
]
size: command [
"Sets font size."
font-size [integer!]
]
text: command [
"Renders text string."
text [string!]
]
u: underline: command [
"Sets font UNDERLINE style."
state [logic!]
]
| Rebol | 4 | 0branch/r3 | src/boot/text.reb | [
"Apache-2.0"
] |
/*
* Copyright 2012-2020 the original author or authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.springframework.boot.test.mock.mockito;
import java.util.Map;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.context.SpringBootTestContextBootstrapper;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ConfigurableApplicationContext;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.test.context.BootstrapContext;
import org.springframework.test.context.MergedContextConfiguration;
import org.springframework.test.context.TestContext;
import org.springframework.test.context.cache.DefaultCacheAwareContextLoaderDelegate;
import org.springframework.test.context.cache.DefaultContextCache;
import org.springframework.test.util.ReflectionTestUtils;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.BDDMockito.given;
import static org.mockito.Mockito.mock;
/**
* Tests for application context caching when using {@link MockBean @MockBean}.
*
* @author Andy Wilkinson
*/
class MockBeanContextCachingTests {
private final DefaultContextCache contextCache = new DefaultContextCache();
private final DefaultCacheAwareContextLoaderDelegate delegate = new DefaultCacheAwareContextLoaderDelegate(
this.contextCache);
@AfterEach
@SuppressWarnings("unchecked")
void clearCache() {
Map<MergedContextConfiguration, ApplicationContext> contexts = (Map<MergedContextConfiguration, ApplicationContext>) ReflectionTestUtils
.getField(this.contextCache, "contextMap");
for (ApplicationContext context : contexts.values()) {
if (context instanceof ConfigurableApplicationContext) {
((ConfigurableApplicationContext) context).close();
}
}
this.contextCache.clear();
}
@Test
void whenThereIsANormalBeanAndAMockBeanThenTwoContextsAreCreated() {
bootstrapContext(TestClass.class);
assertThat(this.contextCache.size()).isEqualTo(1);
bootstrapContext(MockedBeanTestClass.class);
assertThat(this.contextCache.size()).isEqualTo(2);
}
@Test
void whenThereIsTheSameMockedBeanInEachTestClassThenOneContextIsCreated() {
bootstrapContext(MockedBeanTestClass.class);
assertThat(this.contextCache.size()).isEqualTo(1);
bootstrapContext(AnotherMockedBeanTestClass.class);
assertThat(this.contextCache.size()).isEqualTo(1);
}
@SuppressWarnings("rawtypes")
private void bootstrapContext(Class<?> testClass) {
SpringBootTestContextBootstrapper bootstrapper = new SpringBootTestContextBootstrapper();
BootstrapContext bootstrapContext = mock(BootstrapContext.class);
given((Class) bootstrapContext.getTestClass()).willReturn(testClass);
bootstrapper.setBootstrapContext(bootstrapContext);
given(bootstrapContext.getCacheAwareContextLoaderDelegate()).willReturn(this.delegate);
TestContext testContext = bootstrapper.buildTestContext();
testContext.getApplicationContext();
}
@SpringBootTest(classes = TestConfiguration.class)
static class TestClass {
}
@SpringBootTest(classes = TestConfiguration.class)
static class MockedBeanTestClass {
@MockBean
private TestBean testBean;
}
@SpringBootTest(classes = TestConfiguration.class)
static class AnotherMockedBeanTestClass {
@MockBean
private TestBean testBean;
}
@Configuration
static class TestConfiguration {
@Bean
TestBean testBean() {
return new TestBean();
}
}
static class TestBean {
}
}
| Java | 5 | techAi007/spring-boot | spring-boot-project/spring-boot-test/src/test/java/org/springframework/boot/test/mock/mockito/MockBeanContextCachingTests.java | [
"Apache-2.0"
] |
begin
require 'rspec/core/rake_task'
RSpec::Core::RakeTask.new(:spec)
task default: :spec
rescue LoadError
# no rspec available
end
| HTML+Django | 4 | bradatmailchimp/mailchimp-client-lib-codegen | resources/swagger-original-templates/ruby/Rakefile.mustache | [
"Apache-2.0"
] |
"""Tests for the qld_bushfire component."""
| Python | 0 | domwillcode/home-assistant | tests/components/qld_bushfire/__init__.py | [
"Apache-2.0"
] |
<div class="ui stackable centered four column grid">
<div class="ui column">
<h3 class="ui dividing header">7 day reach</h3>
<div class="ui mini horizontal statistics <%= AdminHelpers.up_or_down_class(@reach[:now_7], @reach[:then_7]) %>">
<div class="statistic">
<div class="value"><%= reach_link(:now_7, assigns) %></div>
<div class="label">current</div>
<div style="display: none;"><%= AdminHelpers.ts(@reach[:as_of]) %></div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:prev_7, assigns) %></div>
<div class="label">previous</div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:then_7, assigns) %></div>
<div class="label">last year</div>
</div>
</div>
</div>
<div class="ui column">
<h3 class="ui dividing header">30 day reach</h3>
<div class="ui mini horizontal statistics <%= AdminHelpers.up_or_down_class(@reach[:now_30], @reach[:then_30]) %>">
<div class="statistic">
<div class="value"><%= reach_link(:now_30, assigns) %></div>
<div class="label">current</div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:prev_30, assigns) %></div>
<div class="label">previous</div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:then_30, assigns) %></div>
<div class="label">last year</div>
</div>
</div>
</div>
<div class="ui column">
<h3 class="ui dividing header">90 day reach</h3>
<div class="ui mini horizontal statistics <%= AdminHelpers.up_or_down_class(@reach[:now_90], @reach[:then_90]) %>">
<div class="statistic">
<div class="value"><%= reach_link(:now_90, assigns) %></div>
<div class="label">current</div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:prev_90, assigns) %></div>
<div class="label">previous</div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:then_90, assigns) %></div>
<div class="label">last year</div>
</div>
</div>
</div>
<div class="ui column">
<h3 class="ui dividing header">1 year reach</h3>
<div class="ui mini horizontal statistics <%= AdminHelpers.up_or_down_class(@reach[:now_year], @reach[:prev_year]) %>">
<div class="statistic">
<div class="value"><%= reach_link(:now_year, assigns) %></div>
<div class="label">current</div>
</div>
<div class="statistic">
<div class="value"><%= reach_link(:prev_year, assigns) %></div>
<div class="label">previous</div>
</div>
</div>
</div>
</div>
| HTML+EEX | 3 | d-m-u/changelog.com | lib/changelog_web/templates/admin/episode/_reach.html.eex | [
"MIT"
] |
<div class="results_wrap tree_view">
<div class="json_tree_container">
{{{tree}}}
</div>
</div>
| Handlebars | 0 | zadcha/rethinkdb | admin/static/handlebars/dataexplorer_result_tree.hbs | [
"Apache-2.0"
] |
frequency,raw
20.00,1.76
20.20,1.76
20.40,1.76
20.61,1.76
20.81,1.76
21.02,1.76
21.23,1.76
21.44,1.76
21.66,1.76
21.87,1.76
22.09,1.76
22.31,1.76
22.54,1.76
22.76,1.76
22.99,1.76
23.22,1.76
23.45,1.76
23.69,1.76
23.92,1.76
24.16,1.76
24.40,1.76
24.65,1.76
24.89,1.76
25.14,1.76
25.39,1.76
25.65,1.76
25.91,1.76
26.16,1.76
26.43,1.76
26.69,1.76
26.96,1.76
27.23,1.76
27.50,1.76
27.77,1.76
28.05,1.76
28.33,1.76
28.62,1.76
28.90,1.76
29.19,1.76
29.48,1.76
29.78,1.76
30.08,1.76
30.38,1.76
30.68,1.76
30.99,1.76
31.30,1.76
31.61,1.76
31.93,1.76
32.24,1.76
32.57,1.76
32.89,1.76
33.22,1.76
33.55,1.76
33.89,1.76
34.23,1.76
34.57,1.76
34.92,1.76
35.27,1.76
35.62,1.76
35.97,1.76
36.33,1.76
36.70,1.76
37.06,1.76
37.43,1.76
37.81,1.76
38.19,1.76
38.57,1.76
38.95,1.76
39.34,1.76
39.74,1.76
40.14,1.76
40.54,1.76
40.94,1.76
41.35,1.76
41.76,1.76
42.18,1.76
42.60,1.76
43.03,1.76
43.46,1.76
43.90,1.76
44.33,1.76
44.78,1.76
45.23,1.76
45.68,1.76
46.13,1.76
46.60,1.76
47.06,1.76
47.53,1.75
48.01,1.74
48.49,1.74
48.97,1.73
49.46,1.73
49.96,1.73
50.46,1.73
50.96,1.73
51.47,1.74
51.99,1.75
52.51,1.76
53.03,1.77
53.56,1.78
54.10,1.79
54.64,1.81
55.18,1.83
55.74,1.84
56.29,1.86
56.86,1.88
57.42,1.90
58.00,1.92
58.58,1.94
59.16,1.96
59.76,1.98
60.35,2.00
60.96,2.02
61.57,2.04
62.18,2.05
62.80,2.07
63.43,2.08
64.07,2.09
64.71,2.10
65.35,2.10
66.01,2.11
66.67,2.10
67.33,2.10
68.01,2.09
68.69,2.08
69.37,2.08
70.07,2.08
70.77,2.08
71.48,2.08
72.19,2.08
72.91,2.08
73.64,2.08
74.38,2.08
75.12,2.08
75.87,2.08
76.63,2.08
77.40,2.08
78.17,2.08
78.95,2.08
79.74,2.08
80.54,2.08
81.35,2.08
82.16,2.08
82.98,2.08
83.81,2.08
84.65,2.08
85.50,2.08
86.35,2.08
87.22,2.08
88.09,2.08
88.97,2.08
89.86,2.08
90.76,2.08
91.66,2.08
92.58,2.08
93.51,2.08
94.44,2.08
95.39,2.08
96.34,2.08
97.30,2.08
98.28,2.08
99.26,2.08
100.25,2.08
101.25,2.08
102.27,2.08
103.29,2.09
104.32,2.09
105.37,2.10
106.42,2.10
107.48,2.09
108.56,2.07
109.64,2.05
110.74,2.02
111.85,1.98
112.97,1.94
114.10,1.91
115.24,1.87
116.39,1.85
117.55,1.82
118.73,1.79
119.92,1.76
121.12,1.74
122.33,1.73
123.55,1.72
124.79,1.72
126.03,1.72
127.29,1.73
128.57,1.74
129.85,1.76
131.15,1.78
132.46,1.80
133.79,1.83
135.12,1.88
136.48,1.91
137.84,1.95
139.22,1.98
140.61,2.02
142.02,2.05
143.44,2.05
144.87,2.05
146.32,2.04
147.78,2.02
149.26,1.99
150.75,1.94
152.26,1.90
153.78,1.86
155.32,1.83
156.88,1.79
158.44,1.78
160.03,1.76
161.63,1.76
163.24,1.76
164.88,1.76
166.53,1.75
168.19,1.75
169.87,1.73
171.57,1.71
173.29,1.68
175.02,1.64
176.77,1.60
178.54,1.58
180.32,1.54
182.13,1.51
183.95,1.47
185.79,1.45
187.65,1.43
189.52,1.41
191.42,1.39
193.33,1.38
195.27,1.39
197.22,1.40
199.19,1.42
201.18,1.43
203.19,1.46
205.23,1.49
207.28,1.55
209.35,1.61
211.44,1.68
213.56,1.77
215.69,1.87
217.85,1.98
220.03,2.06
222.23,2.17
224.45,2.28
226.70,2.39
228.96,2.47
231.25,2.52
233.57,2.58
235.90,2.66
238.26,2.71
240.64,2.75
243.05,2.79
245.48,2.84
247.93,2.89
250.41,2.91
252.92,2.95
255.45,2.97
258.00,2.98
260.58,3.01
263.19,3.03
265.82,3.06
268.48,3.07
271.16,3.08
273.87,3.07
276.61,3.06
279.38,3.06
282.17,3.05
284.99,3.05
287.84,3.05
290.72,3.05
293.63,3.05
296.57,3.05
299.53,3.05
302.53,3.05
305.55,3.05
308.61,3.05
311.69,3.06
314.81,3.06
317.96,3.07
321.14,3.08
324.35,3.07
327.59,3.06
330.87,3.05
334.18,3.03
337.52,2.99
340.90,2.97
344.30,2.93
347.75,2.90
351.23,2.86
354.74,2.83
358.28,2.80
361.87,2.77
365.49,2.74
369.14,2.72
372.83,2.71
376.56,2.70
380.33,2.71
384.13,2.72
387.97,2.73
391.85,2.74
395.77,2.75
399.73,2.75
403.72,2.74
407.76,2.73
411.84,2.72
415.96,2.69
420.12,2.66
424.32,2.63
428.56,2.60
432.85,2.56
437.18,2.53
441.55,2.49
445.96,2.46
450.42,2.43
454.93,2.41
459.48,2.39
464.07,2.39
468.71,2.39
473.40,2.41
478.13,2.42
482.91,2.41
487.74,2.40
492.62,2.39
497.55,2.37
502.52,2.34
507.55,2.31
512.62,2.27
517.75,2.24
522.93,2.21
528.16,2.17
533.44,2.14
538.77,2.11
544.16,2.09
549.60,2.07
555.10,2.07
560.65,2.07
566.25,2.08
571.92,2.09
577.64,2.09
583.41,2.09
589.25,2.08
595.14,2.05
601.09,2.03
607.10,2.00
613.17,1.97
619.30,1.94
625.50,1.91
631.75,1.88
638.07,1.84
644.45,1.82
650.89,1.80
657.40,1.78
663.98,1.75
670.62,1.73
677.32,1.70
684.10,1.68
690.94,1.65
697.85,1.63
704.83,1.61
711.87,1.58
718.99,1.54
726.18,1.49
733.44,1.44
740.78,1.40
748.19,1.35
755.67,1.31
763.23,1.28
770.86,1.26
778.57,1.23
786.35,1.21
794.22,1.17
802.16,1.12
810.18,1.08
818.28,1.05
826.46,1.02
834.73,0.98
843.08,0.94
851.51,0.90
860.02,0.86
868.62,0.81
877.31,0.76
886.08,0.70
894.94,0.64
903.89,0.58
912.93,0.53
922.06,0.48
931.28,0.43
940.59,0.37
950.00,0.31
959.50,0.24
969.09,0.18
978.78,0.12
988.57,0.06
998.46,0.01
1008.44,-0.06
1018.53,-0.13
1028.71,-0.21
1039.00,-0.28
1049.39,-0.34
1059.88,-0.42
1070.48,-0.49
1081.19,-0.57
1092.00,-0.65
1102.92,-0.73
1113.95,-0.82
1125.09,-0.90
1136.34,-1.00
1147.70,-1.10
1159.18,-1.19
1170.77,-1.29
1182.48,-1.40
1194.30,-1.50
1206.25,-1.60
1218.31,-1.72
1230.49,-1.84
1242.80,-1.95
1255.22,-2.07
1267.78,-2.18
1280.45,-2.30
1293.26,-2.42
1306.19,-2.54
1319.25,-2.66
1332.45,-2.78
1345.77,-2.88
1359.23,-3.00
1372.82,-3.11
1386.55,-3.22
1400.41,-3.34
1414.42,-3.44
1428.56,-3.55
1442.85,-3.67
1457.28,-3.78
1471.85,-3.90
1486.57,-4.00
1501.43,-4.11
1516.45,-4.22
1531.61,-4.34
1546.93,-4.45
1562.40,-4.56
1578.02,-4.66
1593.80,-4.77
1609.74,-4.90
1625.84,-5.01
1642.10,-5.11
1658.52,-5.25
1675.10,-5.38
1691.85,-5.51
1708.77,-5.65
1725.86,-5.78
1743.12,-5.92
1760.55,-6.08
1778.15,-6.23
1795.94,-6.38
1813.90,-6.54
1832.03,-6.70
1850.36,-6.88
1868.86,-7.05
1887.55,-7.20
1906.42,-7.36
1925.49,-7.52
1944.74,-7.69
1964.19,-7.84
1983.83,-8.00
2003.67,-8.16
2023.71,-8.32
2043.94,-8.45
2064.38,-8.57
2085.03,-8.69
2105.88,-8.81
2126.94,-8.93
2148.20,-9.04
2169.69,-9.14
2191.38,-9.21
2213.30,-9.29
2235.43,-9.38
2257.78,-9.45
2280.36,-9.52
2303.17,-9.58
2326.20,-9.63
2349.46,-9.67
2372.95,-9.72
2396.68,-9.76
2420.65,-9.80
2444.86,-9.85
2469.31,-9.90
2494.00,-9.95
2518.94,-10.01
2544.13,-10.07
2569.57,-10.13
2595.27,-10.20
2621.22,-10.27
2647.43,-10.34
2673.90,-10.43
2700.64,-10.53
2727.65,-10.64
2754.93,-10.76
2782.48,-10.87
2810.30,-10.98
2838.40,-11.09
2866.79,-11.20
2895.46,-11.31
2924.41,-11.43
2953.65,-11.53
2983.19,-11.63
3013.02,-11.73
3043.15,-11.84
3073.58,-11.93
3104.32,-12.02
3135.36,-12.10
3166.72,-12.18
3198.38,-12.25
3230.37,-12.31
3262.67,-12.38
3295.30,-12.42
3328.25,-12.46
3361.53,-12.49
3395.15,-12.52
3429.10,-12.53
3463.39,-12.53
3498.03,-12.55
3533.01,-12.56
3568.34,-12.56
3604.02,-12.55
3640.06,-12.54
3676.46,-12.53
3713.22,-12.51
3750.36,-12.49
3787.86,-12.44
3825.74,-12.38
3864.00,-12.32
3902.64,-12.24
3941.66,-12.15
3981.08,-12.04
4020.89,-11.93
4061.10,-11.81
4101.71,-11.69
4142.73,-11.57
4184.15,-11.44
4226.00,-11.33
4268.26,-11.23
4310.94,-11.13
4354.05,-11.02
4397.59,-10.92
4441.56,-10.83
4485.98,-10.74
4530.84,-10.65
4576.15,-10.56
4621.91,-10.48
4668.13,-10.39
4714.81,-10.29
4761.96,-10.20
4809.58,-10.11
4857.67,-10.00
4906.25,-9.89
4955.31,-9.77
5004.87,-9.65
5054.91,-9.53
5105.46,-9.41
5156.52,-9.27
5208.08,-9.12
5260.16,-8.97
5312.77,-8.80
5365.89,-8.62
5419.55,-8.43
5473.75,-8.23
5528.49,-7.99
5583.77,-7.75
5639.61,-7.48
5696.00,-7.18
5752.96,-6.86
5810.49,-6.49
5868.60,-6.09
5927.28,-5.63
5986.56,-5.13
6046.42,-4.61
6106.89,-4.06
6167.96,-3.50
6229.64,-2.92
6291.93,-2.32
6354.85,-1.75
6418.40,-1.19
6482.58,-0.67
6547.41,-0.22
6612.88,0.17
6679.01,0.49
6745.80,0.73
6813.26,0.89
6881.39,0.98
6950.21,1.02
7019.71,1.01
7089.91,0.97
7160.81,0.88
7232.41,0.76
7304.74,0.61
7377.79,0.44
7451.56,0.23
7526.08,-0.02
7601.34,-0.32
7677.35,-0.68
7754.13,-1.10
7831.67,-1.59
7909.98,-2.17
7989.08,-2.84
8068.98,-3.57
8149.67,-4.36
8231.16,-5.18
8313.47,-6.03
8396.61,-6.87
8480.57,-7.70
8565.38,-8.51
8651.03,-9.27
8737.54,-9.98
8824.92,-10.63
8913.17,-11.20
9002.30,-11.72
9092.32,-12.17
9183.25,-12.58
9275.08,-12.93
9367.83,-13.24
9461.51,-13.51
9556.12,-13.76
9651.68,-13.98
9748.20,-14.17
9845.68,-14.33
9944.14,-14.45
10043.58,-14.52
10144.02,-14.56
10245.46,-14.53
10347.91,-14.44
10451.39,-14.28
10555.91,-14.03
10661.46,-13.70
10768.08,-13.29
10875.76,-12.82
10984.52,-12.30
11094.36,-11.74
11205.31,-11.17
11317.36,-10.59
11430.53,-10.02
11544.84,-9.48
11660.29,-8.99
11776.89,-8.57
11894.66,-8.20
12013.60,-7.89
12133.74,-7.67
12255.08,-7.50
12377.63,-7.38
12501.41,-7.32
12626.42,-7.30
12752.68,-7.31
12880.21,-7.33
13009.01,-7.37
13139.10,-7.44
13270.49,-7.55
13403.20,-7.70
13537.23,-7.89
13672.60,-8.14
13809.33,-8.45
13947.42,-8.82
14086.90,-9.22
14227.77,-9.67
14370.04,-10.14
14513.74,-10.64
14658.88,-11.14
14805.47,-11.65
14953.52,-12.13
15103.06,-12.60
15254.09,-13.04
15406.63,-13.45
15560.70,-13.82
15716.30,-14.13
15873.47,-14.42
16032.20,-14.68
16192.52,-14.93
16354.45,-15.19
16517.99,-15.47
16683.17,-15.82
16850.01,-16.25
17018.51,-16.79
17188.69,-17.46
17360.58,-18.25
17534.18,-19.18
17709.53,-20.25
17886.62,-21.42
18065.49,-22.67
18246.14,-23.80
18428.60,-24.95
18612.89,-26.14
18799.02,-27.37
18987.01,-28.65
19176.88,-29.98
19368.65,-31.35
19562.33,-32.77
19757.96,-34.24
19955.54,-35.75
| CSV | 1 | vinzmc/AutoEq | measurements/referenceaudioanalyzer/data/inear/SIEC/Yamaha EPH-30/Yamaha EPH-30.csv | [
"MIT"
] |
module.exports = {
__test__ext: 'jsx',
}
| JSX | 3 | blomqma/next.js | test/unit/isolated/_resolvedata/js-ts-config/next.config.jsx | [
"MIT"
] |
<%inherit file="/base.mako"/>
<%namespace file="/message.mako" import="render_msg" />
<%namespace file="/webapps/tool_shed/common/common.mako" import="*" />
<%def name="javascripts()">
${parent.javascripts()}
${common_misc_javascripts()}
</%def>
%if message:
${render_msg( message, status )}
%endif
<div class="alert alert-warning">
Resetting metadata may take a while, so wait until this page redirects after clicking the <b>Reset metadata on selected repositories</b> button, as
doing anything else will not be helpful.
</div>
<div class="card">
<div class="card-header">Reset all metadata on each selected tool shed repository</div>
<div class="card-body">
<form name="reset_metadata_on_selected_repositories" id="reset_metadata_on_selected_repositories" action="${h.url_for( controller='admin_toolshed', action='reset_metadata_on_selected_installed_repositories' )}" method="post" >
<div class="form-row">
Check each repository for which you want to reset metadata. Repository names are followed by owners in parentheses.
</div>
<div style="clear: both"></div>
<div class="form-row">
<input type="checkbox" id="checkAll" name="select_all_repositories_checkbox" value="true" onclick="checkAllRepositoryIdFields(1);"/><b>Select/unselect all repositories</b>
</div>
<div style="clear: both"></div>
<div class="form-row">
${render_select(repositories_select_field)}
</div>
<div style="clear: both"></div>
<div class="form-row">
<input type="submit" name="reset_metadata_on_selected_repositories_button" value="Reset metadata on selected repositories"/>
</div>
</form>
</div>
</div>
| Mako | 4 | rikeshi/galaxy | lib/tool_shed/webapp/templates/admin/tool_shed_repository/reset_metadata_on_selected_repositories.mako | [
"CC-BY-3.0"
] |
object ssl;
void readcb(mixed id, string data) {exit(0, "Readable\n%s\n", data);}
int x=1; void writecb() {if (x) ssl->write("asdf\n"); x=0; write("Writable\n");}
int main()
{
Stdio.File sock = Stdio.File();
sock->connect("127.0.0.1", 2211);
ssl = SSL.File(sock, SSL.Context());
ssl->set_nonblocking(readcb, writecb, lambda() {exit(0, "Closed\n");});
ssl->connect("localhost");
write("Connected\n");
return -1;
}
| Pike | 3 | stephenangelico/shed | sslclient_slow.pike | [
"MIT"
] |
#pragma once
#include <Windows.h>
#include <inttypes.h>
extern "C"
{
void __setxmm0( BYTE* );
void __setxmm1( BYTE* );
void __setxmm2( BYTE* );
void __setxmm3( BYTE* );
void __setxmm4( BYTE* );
void __setxmm5( BYTE* );
void __setxmm6( BYTE* );
void __setxmm7( BYTE* );
void __setxmm8( BYTE* );
void __setxmm9( BYTE* );
void __setxmm10( BYTE* );
void __setxmm11( BYTE* );
void __setxmm12( BYTE* );
void __setxmm13( BYTE* );
void __setxmm14( BYTE* );
void __setxmm15( BYTE* );
void __swapgs();
uint16_t __readss();
PVOID __read_gs_base();
void __set_gs_base( PVOID GsBase );
void __rollback_isr( uint64_t IsrStack );
void __triggervuln( PVOID RegSave, PVOID Abc );
};
| C | 0 | OsmanDere/metasploit-framework | external/source/exploits/cve-2018-8897/exe/Native.h | [
"BSD-2-Clause",
"BSD-3-Clause"
] |
// Test ~ operator as an operator method
record Foo {
var x: int;
operator ~(arg: Foo) {
writeln("In Foo.~");
return new Foo(~arg.x);
}
}
proc main() {
var a = new Foo(3);
var b = new Foo(7);
var c = ~a;
writeln(~a);
writeln(~b);
writeln(~c);
}
| Chapel | 4 | jhh67/chapel | test/functions/operatorOverloads/operatorMethods/allOps/unaryNot.chpl | [
"ECL-2.0",
"Apache-2.0"
] |
<!DOCTYPE html> <!-- -*- mode: web-mode; engine: ctemplate -*- -->
<html>
<head>
{{> plan-a/head }}
<link rel="stylesheet" type="text/css" href="stylesheets/contents.css">
<meta name="description" content="Haskell Platform is a Haskell distribution with batteries included">
<script src="js/contents.js"></script>
<title>Haskell Platform - Included Packages</title>
</head>
<body class="page-home">
<div class="wrap">
<div class="template">
{{> plan-a/navbar }}
<div class="header">
<div class="container">
<div class="row">
<div class="span12 col-md-12">
<div class="branding">
<span style="background-image: url(img/logo.png)" class="name">Haskell Platform</span>
<span class="summary">
Haskell with batteries included
</span>
</div>
</div>
<div class="span6 col-md-6">
<div class="branding">
<span class="tag"></span>
</div>
</div>
</div>
</div>
</div>
<div class="container">
<h2>Prior Releases</h2>
{{#years}}
<h3 id="section">{{year}}</h3>
{{#releases}}
<p><strong>{{version}}</strong>, {{month}} {{year}} ⟹
{{#files}}
<a href="{{url}}" onClick="javascript: pageTracker._trackPageview('/downloads/mac/old'); ">{{osNameAndArch}}</a>{{^last}} - {{/last}}
{{/files}}
</p>
{{/releases}}
{{/years}}
</div>
</div>
</div>
{{> plan-a/footer }}
</body>
</html>
| mupad | 3 | TikhonJelvis/haskell-platform | website/plan-a/prior.html.mu | [
"BSD-3-Clause"
] |
sub init()
target = createObject("roSGNode", "Node")
target.update({ trigger: "none" }, true)
a = createObject("roSGNode", "UnscopedObserver")
b = createObject("roSGNode", "UnscopedObserver")
c = createObject("roSGNode", "UnscopedObserver2")
a.id = "a"
a.target = target
b.id = "b"
b.target = target
c.id = "c"
c.target = target
target.trigger = "1"
target.trigger = "2"
target.trigger = "unobserve-a"
target.trigger = "3"
end sub
| Brightscript | 4 | lkipke/brs | test/e2e/resources/observers/components/UnscopedObserversTestBed.brs | [
"MIT"
] |
<div class="ui tab" data-tab="taxes">
<h3 class="ui dividing header">{{ 'sylius.ui.taxes'|trans }}</h3>
{{ form_row(form.taxCategory) }}
{{ sylius_template_event(['sylius.admin.product_variant.' ~ action ~ '.tab_taxes', 'sylius.admin.product_variant.tab_taxes'], {'form': form}) }}
</div>
| Twig | 3 | titomtd/Sylius | src/Sylius/Bundle/AdminBundle/Resources/views/ProductVariant/Tab/_taxes.html.twig | [
"MIT"
] |
/*
Copyright © 2011 MLstate
This file is part of Opa.
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.
*/
/**
* Elvis
*
* @category UI
* @author David Rajchenbach-Teller, 2011
* @destination PUBLIC
* @stability EXPERIMENTAL
*/
/**
* An elvis ("element of vision") is a data structure that can be displayed in the browser screen.
* Elvises are abstract data structures, characterized by the events they can post (the "sources")
* and their accessors.
*
* ** Relationships between Elvises and Xhtml
* - elvises are not xhtml (although they are certainly implemented as such)
* - elvises are not referenced by their ID
* - for display, elvises are inserted into xhtml
* - styling, positioning, etc. are done with CSS and selectors, through the indirection of the [Styler] widget
* - DOM events are used to implement Elvis, but they are low-level informations, not meant to be seen outside the Elvis
*
* ** Events
* - each Elvis publishes a number of [source]s, corresponding the events it can send
* - a channel or a function can be registered to listen on a [source], and possibly unregistered later
* - an Elvis MUST NOT listen to its own [source]s
*
* ** Implementation guidelines
* - Each xhtml node in an Elvis should have a class name
*/
/**
* {1 Standard event names}
*
* - [{chosen: void}] -- a button was pressed, an item was selected in a list, etc.
* - [{value_changed: {old: 'a new:'a}}]
* - [{value_rejected:{old: 'a rejected:'b}}]
*/
@abstract type Elvis.elvis('sources, 'implem) = {
sources: 'sources /**Sources of events that the elvis can send (e.g. "selected", "value changed", etc.)
Use this to register event observers (or, possibly, to trigger artificial events).
Note: By design, an elvis MUST NOT register with its own sources.*/
implem: 'implem /**Anything that may be needed to access the functions of this elvis, e.g. to set content*/
display: Elvis.theme ->/**Anything required to (re)display the elvis.*/
{
xhtml: xhtml /**The xhtml code for the display part of this elvis.*/
dom: dom /**A {e concrete} [dom] corresponding to [xhtml] page.*/
}
}
@abstract type Elvis.masked = {}
@abstract type Elvis.theme = list(string)
Elvis = {{
/**
* Convert an elvis into something that can be injected on a page
*
* Note: Called automatically by magic_to_xhtml
*/
for_display(elvis: Elvis.elvis(_, _)): xhtml =
(
for_display_in_theme(elvis, (["mlstate_default"]))
)
/**
* Convert an elvis into something that can be injected on a page
*/
for_display_in_theme(elvis: Elvis.elvis(_, _), theme: Elvis.theme): xhtml =
(
(elvis).display(theme).xhtml
)
/**
* Access the event sources of the elvis
*/
sources(elvis: Elvis.elvis('sources, 'implem)): 'sources =
(
(elvis).sources
)
implem(elvis: Elvis.elvis('sources, 'implem)): 'implem =
(
(elvis).implem
)
/**
* Construct an Elvis
*/
make(sources: 'sources, implem: 'implem, display: Elvis.theme -> {xhtml:xhtml; dom:dom}): Elvis.elvis('sources, 'implem) =
(
({~sources ~implem ~display})
)
/**
* Existential stuff
*/
pack(elvis: Elvis.elvis(_, _)): Elvis.elvis(Elvis.masked, Elvis.masked) =
(
({sources=masked implem=masked display=(elvis).display})
)
pack_sources(elvis: Elvis.elvis(_, 'b)): Elvis.elvis(Elvis.masked, 'b) =
(
({sources=masked implem=(elvis).implem display=(elvis).display})
)
pack_implem(elvis: Elvis.elvis('a, _)): Elvis.elvis('a, Elvis.masked) =
(
({sources=(elvis).sources implem=masked display=(elvis).display})
)
masked: Elvis.masked = ({})
Theme =
{{
of_classes(classes: list(string)): Elvis.theme =
(
(classes)
)
get_classes(theme: Elvis.theme): string =
(
List.to_string_using("", "", " ", (theme))
)
add_class(class:string, theme: Elvis.theme): Elvis.theme =
(
([class | (theme)])
)
}}
}}
| Opa | 4 | Machiaweliczny/oppailang | lib/stdlib/elvis/elvis.opa | [
"MIT"
] |
#+TITLE: app/twitter
#+DATE: October 11, 2019
#+SINCE: v2.0
#+STARTUP: inlineimages
* Table of Contents :TOC_3:noexport:
- [[#description][Description]]
- [[#module-flags][Module Flags]]
- [[#plugins][Plugins]]
- [[#hacks][Hacks]]
- [[#prerequisites][Prerequisites]]
- [[#features][Features]]
- [[#configuration][Configuration]]
- [[#troubleshooting][Troubleshooting]]
- [[#appendix][Appendix]]
- [[#commands--keybindings][Commands & Keybindings]]
* Description
Enjoy twitter from emacs.
+ View various timelines side by side, e.g. user's timeline, home, etc.
+ Post new tweets
+ Send direct messages
+ Retweet
+ Follow and un-follow users
+ Favorite tweets
** Module Flags
This module provides no flags.
** Plugins
+ [[https://github.com/hayamiz/twittering-mode][twittering-mode]]
+ [[https://github.com/abo-abo/avy][avy]]
** TODO Hacks
{A list of internal modifications to included packages}
* Prerequisites
+ For SSL connection (required by Twitter's API), one of the followings is required:
+ [[http://curl.haxx.se/][cURL]]
+ [[http://www.gnu.org/software/wget/][GNU Wget]]
+ [[http://www.openssl.org/][OpenSSL]]
+ [[http://www.gnu.org/software/gnutls/][GnuTLS]]
+ [[http://www.gnupg.org/][GnuPG]] is required for keeping the OAuth token encrypted in local storage.
+ ~twittering-icon-mode~ converts retrieved icons into XPM by default. To
achieve this and for displaying icons in formats that are not supported by
Emacs as well as for resizing icon images, [[http://www.imagemagick.org/][ImageMagick]] is required.
To build emacs with ImageMagick support the ~--with-imagemagick~ flag needs to
be passed to the ~configure~ script, e.g. ~./configure --with-imagemagick~.
For detailed instruction on how to build Emacs from source please refer to
[[https://git.savannah.gnu.org/cgit/emacs.git/tree/INSTALL][INSTALL]] in Emacs' savannah repository.
+ For keeping retrieved icons in local storage, [[http://www.gzip.org/][gzip]] is required.
* TODO Features
An in-depth list of features, how to use them, and their dependencies.
* TODO Configuration
How to configure this module, including common problems and how to address them.
* Troubleshooting
Currently ~twittering-mode~ binds =SPC=, breaking its functionality as a leader
key. To work around this issue you may use =M-SPC= instead when in
~twittering-mode~.
* Appendix
** Commands & Keybindings
Here is a list of available commands and their default keybindings (defined in
[[./config.el][config.el]]).
| command | key / ex command | description |
|---------------------+------------------+-------------------------------------------------------------|
| ~+twitter/quit~ | =q= | Close current window |
| ~+twitter/quit-all~ | =Q= | Close all twitter windows and buffers, and delete workspace |
And when ~:editor evil +everywhere~ is active:
| command | key / ex command | description |
|--------------------------------------------------+------------------+------------------------------------------------------------------|
| ~twittering-favorite~ | =f= | Favorite/Like a tweet |
| ~twittering-unfavorite~ | =F= | Un-favorite/Un-like a tweet |
| ~twittering-follow~ | =C-f= | Follow user |
| ~twittering-unfollow~ | =C-F= | Un-follow user |
| ~twittering-delete-status~ | =d= | Delete a tweet |
| ~twittering-retweet~ | =r= | Retweet |
| ~twittering-toggle-or-retrieve-replied-statuses~ | =R= | Toggle or retrieve replies |
| ~twittering-update-status-interactive~ | =o= | Update tweets |
| ~+twitter/ace-link~ | =O= | Open some visible link from a ~twittering-mode~ buffer using ace |
| ~twittering-search~ | =/= | Search |
| ~twittering-goto-next-status~ | =J= | Go to next tweet |
| ~twittering-goto-previous-status~ | =K= | Go to previous tweet |
| ~twittering-goto-first-status~ | =gg= | Go to first tweet |
| ~twittering-goto-last-status~ | =G= | Go to last tweet |
| ~twittering-goto-next-status-of-user~ | =gj= | Go to next tweet of user |
| ~twittering-goto-previous-status-of-user)))~ | =gk= | Go to previous tweet of user |
| Org | 4 | leezu/doom-emacs | modules/app/twitter/README.org | [
"MIT"
] |
# Copyright 2017-2018 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# Auto-Generated by cargo-ebuild 0.1.5
EAPI=6
CRATES="
adler32-0.2.0
ar-0.6.0
bitflags-1.0.3
build_const-0.2.1
byteorder-0.5.3
byteorder-1.2.3
cargo-deb-1.11.0
cargo_toml-0.3.0
cc-1.0.18
cfg-if-0.1.4
crc-1.8.1
dtoa-0.4.3
file-1.1.2
filetime-0.2.1
fuchsia-zircon-0.3.3
fuchsia-zircon-sys-0.3.3
getopts-0.2.18
glob-0.2.11
itoa-0.4.2
libc-0.2.42
lzma-sys-0.1.10
md5-0.3.7
pkg-config-0.3.12
proc-macro2-0.4.8
quick-error-1.2.2
quote-0.6.3
rand-0.4.2
redox_syscall-0.1.40
remove_dir_all-0.5.1
serde-1.0.70
serde_derive-1.0.70
serde_json-1.0.24
syn-0.14.4
tar-0.4.16
tempdir-0.3.7
toml-0.4.6
typed-arena-1.4.1
unicode-width-0.1.5
unicode-xid-0.1.0
winapi-0.3.5
winapi-i686-pc-windows-gnu-0.4.0
winapi-x86_64-pc-windows-gnu-0.4.0
xattr-0.2.2
xz2-0.1.5
zopfli-0.3.7
"
inherit cargo
DESCRIPTION="Make Debian packages (.deb) easily with a Cargo subcommand"
HOMEPAGE="https://github.com/mmstick/cargo-deb#readme"
SRC_URI="$(cargo_crate_uris ${CRATES})"
RESTRICT="mirror"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64"
IUSE=""
DEPEND=""
RDEPEND=""
| Gentoo Ebuild | 3 | gentoo/gentoo-rust | dev-util/cargo-deb/cargo-deb-1.11.0.ebuild | [
"BSD-3-Clause"
] |
( Generated from test_statement_try_catch_in.muv by the MUV compiler. )
( https://github.com/revarbat/muv )
: _trys[ -- ret ]
var _bar var _err
0 try
me @ desc _bar !
catch_detailed _err !
_err @ me @ swap notify
endcatch
0 try me @ osucc _bar ! catch pop endcatch
0
;
: __start
"me" match me ! me @ location loc ! trig trigger !
_trys
;
| MUF | 3 | revarbat/muv | tests/test_statement_try_catch_cmp.muf | [
"BSD-2-Clause"
] |
<?Lassoscript
// Last modified 7/23/09 by ECL, Landmann InterActive
// FUNCTIONALITY
// Reset password page
// CHANGE NOTES
// 12/12/07
// Recoded for CMS v. 3.0
// 7/23/09
// Added Robot Check
Include:'/siteconfig.lasso';
// Robot check
Include:($svLibsPath)'robotcheck.inc';
// Page head
Include:($svLibsPath)'page_header_popup.inc';
// Debugging
// Var:'svDebug' = 'Y';
?>
<body>
[Include:'/includes/frm_contact_popup.inc']
</body>
</html>
| Lasso | 4 | subethaedit/SubEthaEd | Documentation/ModeDevelopment/Reference Files/LassoScript-HTML/itpage/contact_popup.lasso | [
"MIT"
] |
POST /chunked_cont_h_at_first HTTP/1.1\r\n
Content-Length: -1\r\n
Transfer-Encoding: chunked\r\n
\r\n
5; some; parameters=stuff\r\n
hello\r\n
6; blahblah; blah\r\n
world\r\n
0\r\n
\r\n
PUT /chunked_cont_h_at_last HTTP/1.1\r\n
Transfer-Encoding: chunked\r\n
Content-Length: -1\r\n
\r\n
5; some; parameters=stuff\r\n
hello\r\n
6; blahblah; blah\r\n
world\r\n
0\r\n | HTTP | 3 | ashishmjn/gunicorn | tests/requests/valid/025.http | [
"MIT"
] |
Hello world
nylas is cool.
<a href="nylas://plugins?test=stuff" title="nylas://plugins?test=stuff">nylas://plugins?test=stuff</a>
<a href="nylas:plugins?test=stuff" title="nylas:plugins?test=stuff">nylas:plugins?test=stuff</a>
<strong><a href="nylas://plugins?test=stuff" title="nylas://plugins?test=stuff">nylas://plugins?test=stuff</a></strong>
Don't you like nylas?
| HTML | 1 | cnheider/nylas-mail | packages/client-app/internal_packages/message-list/spec/autolinker-fixtures/nylas-url-out.html | [
"MIT"
] |
proc foo(i: int) {
writeln(i);
return i;
}
writeln([i in 1..4] foo(i));
| Chapel | 4 | jhh67/chapel | test/functions/deitz/test_forallexpr2.chpl | [
"ECL-2.0",
"Apache-2.0"
] |
val json : unit -> transaction page
val db : unit -> transaction page
val queries : string -> transaction page
val fortunes : unit -> transaction page
val updates : string -> transaction page
val plaintext : unit -> transaction page
| UrWeb | 3 | xsoheilalizadeh/FrameworkBenchmarks | frameworks/Ur/urweb/bench.urs | [
"BSD-3-Clause"
] |
exec("swigtest.start", -1);
if endif_get() <> 1 then swigtesterror(); end
if define_get() <> 1 then swigtesterror(); end
if defined_get() <> 1 then swigtesterror(); end
if 2 * one_get() <> two_get() then swigtesterror(); end
exec("swigtest.quit", -1);
| Scilab | 3 | kyletanyag/LL-Smartcard | cacreader/swig-4.0.2/Examples/test-suite/scilab/preproc_runme.sci | [
"BSD-3-Clause"
] |
function external()
foo()
end function
| Brightscript | 1 | pureinertia/brs | test/e2e/resources/components/stack-trace/@external/package/utils.brs | [
"MIT"
] |
#!/usr/bin/env fq -d mp4 -f
# TODO: esds, make fancy printer? shared?
# TODO: handle -1 media_time
# TODO: fragmented mp4
# root
# moov
# mvhd (movie header)
# trak (track)
# mdia
# mdhd (media header)
# hdlr (handler?)
# minf
# stbl
# stsd (sample description)
# elst (edit list)
( first(.boxes[] | select(.type == "moov")?)
| first(.boxes[] | select(.type == "mvhd")?) as $mvhd
| {
duration: $mvhd.duration,
time_scale: $mvhd.time_scale,
duration_s: ($mvhd.duration / $mvhd.time_scale),
tracks:
[ .boxes[]
| select(.type == "trak")
| first(.. | select(.type == "mdhd")?) as $mdhd
| first(.. | select(.type == "hdlr")?) as $hdlr
| first(.. | select(.type == "stsd")?) as $stsd
| first(.. | select(.type == "elst")?) as $elst
| first(.. | select(.type == "stts")?) as $stts
| ([$stts.entries[] | .count * .delta] | add) as $stts_sum
| {
component_type: $hdlr.component_subtype,
# the sample descriptors are handled as boxes by the mp4 decoder
data_format: $stsd.boxes[0].type,
media_scale: $mdhd.time_scale,
edit_list:
[ $elst.entries[]
| {
track_duration: .segment_duration,
media_time: .media_time,
track_duration_s: (.segment_duration / $mvhd.time_scale),
media_time_s: (.media_time / $mdhd.time_scale)
}
],
stts: {
sum: $stts_sum,
sum_s: ($stts_sum / $mdhd.time_scale)
}
}
]
}
)
| JSONiq | 4 | bbhunter/fq | dev/editlist.jq | [
"MIT"
] |
namespace java com.twitter.finagle.benchmark.thriftjava
#@namespace scala com.twitter.finagle.benchmark.thriftscala
service Hello {
string echo(1: string body);
}
| Thrift | 3 | zaharidichev/finagle | finagle-benchmark-thrift/src/main/thrift/hello.thrift | [
"Apache-2.0"
] |
-- This code is made available 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.
-- Note, this script will not run with the sample input data. I selected a
-- script from Pig's e2e test suite that runs a larger data set to give a
-- slightly more realistic (though still quite small) example
a = load '/user/pig/tests/data/singlefile/studenttab20m' as (name, age, gpa);
b = load '/user/pig/tests/data/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < '50';
d = filter b by age < '50';
e = cogroup c by (name, age), d by (name, age) parallel 20;
f = foreach e generate flatten(c), flatten(d);
g = group f by registration parallel 20;
h = foreach g generate group, SUM(f.d::contributions);
i = order h by $1, $0 parallel 20;
store i into 'student_voter_info';
| PigLatin | 4 | adineskumar/alanfgates-programmingpig | examples/ch7/stats.pig | [
"Apache-2.0"
] |
export * from './dist/lib/data'
| TypeScript | 0 | blomqma/next.js | packages/next/data.d.ts | [
"MIT"
] |
fun test() {
(d@ val bar = 2)
} | Kotlin | 0 | Mu-L/kotlin | compiler/testData/diagnostics/tests/deparenthesize/ParenthesizedVariable.fir.kt | [
"ECL-2.0",
"Apache-2.0"
] |
(ns wisp.test.analyzer
(:require [wisp.test.util :refer [is thrown?]]
[wisp.src.analyzer :refer [analyze]]
[wisp.src.ast :refer [meta symbol pr-str]]
[wisp.src.sequence :refer [first second third map list]]
[wisp.src.runtime :refer [=]]))
(is (= (analyze {} ':foo)
{:op :constant
:env {}
:form ':foo}))
(is (= (analyze {} "bar")
{:op :constant
:env {}
:form "bar"}))
(is (= (analyze {} true)
{:op :constant
:env {}
:form true}))
(is (= (analyze {} false)
{:op :constant
:env {}
:form false}))
(is (= (analyze {} nil)
{:op :constant
:env {}
:form nil}))
(is (= (analyze {} 7)
{:op :constant
:env {}
:form 7}))
(is (= (analyze {} #"foo")
{:op :constant
:env {}
:form #"foo"}))
(is (= (analyze {} 'foo)
{:op :var
:env {}
:form 'foo
:info nil}))
(is (= (analyze {} '[])
{:op :vector
:env {}
:form '[]
:items []}))
(is (= (analyze {} '[:foo bar "baz"])
{:op :vector
:env {}
:form '[:foo bar "baz"]
:items [{:op :constant
:env {}
:form ':foo}
{:op :var
:env {}
:form 'bar
:info nil}
{:op :constant
:env {}
:form "baz"
}]}))
(is (= (analyze {} {})
{:op :dictionary
:env {}
:form {}
:hash? true
:keys []
:values []}))
(is (= {:op :dictionary
:keys [{:op :constant
:env {}
:form "foo"}]
:values [{:op :var
:env {}
:form 'bar
:info nil}]
:hash? true
:env {}
:form {:foo 'bar}}
(analyze {} {:foo 'bar})))
(is (= (analyze {} ())
{:op :constant
:env {}
:form ()}))
(is (= (analyze {} '(foo))
{:op :invoke
:callee {:op :var
:env {}
:form 'foo
:info nil}
:params []
:tag nil
:form '(foo)
:env {}}))
(is (= (analyze {} '(foo bar))
{:op :invoke
:callee {:op :var
:env {}
:form 'foo
:info nil}
:params [{:op :var
:env {}
:form 'bar
:info nil}]
:tag nil
:form '(foo bar)
:env {}}))
(is (= (analyze {} '(aget foo 'bar))
{:op :member-expression
:computed false
:env {}
:form '(aget foo 'bar)
:target {:op :var
:env {}
:form 'foo
:info nil}
:property {:op :var
:env {}
:form 'bar
:info nil}}))
(is (= (analyze {} '(aget foo bar))
{:op :member-expression
:computed true
:env {}
:form '(aget foo bar)
:target {:op :var
:env {}
:form 'foo
:info nil}
:property {:op :var
:env {}
:form 'bar
:info nil}}))
(is (= (analyze {} '(aget foo "bar"))
{:op :member-expression
:env {}
:form '(aget foo "bar")
:computed true
:target {:op :var
:env {}
:form 'foo
:info nil}
:property {:op :constant
:env {}
:form "bar"}}))
(is (= (analyze {} '(aget foo :bar))
{:op :member-expression
:computed true
:env {}
:form '(aget foo :bar)
:target {:op :var
:env {}
:form 'foo
:info nil}
:property {:op :constant
:env {}
:form ':bar}}))
(is (= (analyze {} '(aget foo (beep bar)))
{:op :member-expression
:env {}
:form '(aget foo (beep bar))
:computed true
:target {:op :var
:env {}
:form 'foo
:info nil}
:property {:op :invoke
:env {}
:form '(beep bar)
:tag nil
:callee {:op :var
:form 'beep
:env {}
:info nil}
:params [{:op :var
:form 'bar
:env {}
:info nil}]}}))
(is (= (analyze {} '(if x y))
{:op :if
:env {}
:form '(if x y)
:test {:op :var
:env {}
:form 'x
:info nil}
:consequent {:op :var
:env {}
:form 'y
:info nil}
:alternate {:op :constant
:env {}
:form nil}}))
(is (= (analyze {} '(if (even? n) (inc n) (+ n 3)))
{:op :if
:env {}
:form '(if (even? n) (inc n) (+ n 3))
:test {:op :invoke
:env {}
:form '(even? n)
:tag nil
:callee {:op :var
:env {}
:form 'even?
:info nil}
:params [{:op :var
:env {}
:form 'n
:info nil}]}
:consequent {:op :invoke
:env {}
:form '(inc n)
:tag nil
:callee {:op :var
:env {}
:form 'inc
:info nil}
:params [{:op :var
:env {}
:form 'n
:info nil}]}
:alternate {:op :invoke
:env {}
:form '(+ n 3)
:tag nil
:callee {:op :var
:env {}
:form '+
:info nil}
:params [{:op :var
:env {}
:form 'n
:info nil}
{:op :constant
:env {}
:form 3}]}}))
(is (= (analyze {} '(throw error))
{:op :throw
:env {}
:form '(throw error)
:throw {:op :var
:env {}
:form 'error
:info nil}}))
(is (= (analyze {} '(throw (Error "boom!")))
{:op :throw
:env {}
:form '(throw (Error "boom!"))
:throw {:op :invoke
:tag nil
:env {}
:form '(Error "boom!")
:callee {:op :var
:env {}
:form 'Error
:info nil}
:params [{:op :constant
:env {}
:form "boom!"}]}}))
(is (= (analyze {} '(new Error "Boom!"))
{:op :new
:env {}
:form '(new Error "Boom!")
:constructor {:op :var
:env {}
:form 'Error
:info nil}
:params [{:op :constant
:env {}
:form "Boom!"}]}))
(is (= (analyze {} '(try (read-string unicode-error)))
{:op :try
:env {}
:form '(try (read-string unicode-error))
:body {:env {}
:statements nil
:result {:op :invoke
:env {}
:form '(read-string unicode-error)
:tag nil
:callee {:op :var
:env {}
:form 'read-string
:info nil}
:params [{:op :var
:env {}
:form 'unicode-error
:info nil}]}}
:handler nil
:finalizer nil}))
(is (= (analyze {} '(try
(read-string unicode-error)
(catch error :throw)))
{:op :try
:env {}
:form '(try
(read-string unicode-error)
(catch error :throw))
:body {:env {}
:statements nil
:result {:op :invoke
:env {}
:form '(read-string unicode-error)
:tag nil
:callee {:op :var
:env {}
:form 'read-string
:info nil}
:params [{:op :var
:env {}
:form 'unicode-error
:info nil}]}}
:handler {:env {}
:name {:op :var
:env {}
:form 'error
:info nil}
:statements nil
:result {:op :constant
:env {}
:form ':throw}}
:finalizer nil}))
(is (= (analyze {} '(try
(read-string unicode-error)
(finally :end)))
{:op :try
:env {}
:form '(try
(read-string unicode-error)
(finally :end))
:body {:env {}
:statements nil
:result {:op :invoke
:env {}
:form '(read-string unicode-error)
:tag nil
:callee {:op :var
:env {}
:form 'read-string
:info nil}
:params [{:op :var
:env {}
:form 'unicode-error
:info nil}]}}
:handler nil
:finalizer {:env {}
:statements nil
:result {:op :constant
:env {}
:form ':end}}}))
(is (= (analyze {} '(try (read-string unicode-error)
(catch error
(print error)
:error)
(finally
(print "done")
:end)))
{:op :try
:env {}
:form '(try (read-string unicode-error)
(catch error
(print error)
:error)
(finally
(print "done")
:end))
:body {:env {}
:statements nil
:result {:op :invoke
:env {}
:form '(read-string unicode-error)
:tag nil
:callee {:op :var
:env {}
:form 'read-string
:info nil}
:params [{:op :var
:env {}
:form 'unicode-error
:info nil}]}}
:handler {:env {}
:name {:op :var
:env {}
:form 'error
:info nil}
:statements [{:op :invoke
:env {}
:form '((aget console 'log) error)
:tag nil
:callee {:op :member-expression
:computed false
:env {}
:form '(aget console 'log)
:target {:op :var
:env {}
:form 'console
:info nil}
:property {:op :var
:env {}
:form 'log
:info nil}}
:params [{:op :var
:env {}
:form 'error
:info nil}]}]
:result {:op :constant
:form ':error
:env {}}}
:finalizer {:env {}
:statements [{:op :invoke
:env {}
:form '((aget console 'log) "done")
:tag nil
:callee {:op :member-expression
:computed false
:env {}
:form '(aget console 'log)
:target {:op :var
:env {}
:form 'console
:info nil}
:property {:op :var
:env {}
:form 'log
:info nil}}
:params [{:op :constant
:env {}
:form "done"}]}]
:result {:op :constant
:form ':end
:env {}}}}))
(is (= (analyze {} '(set! foo bar))
{:op :set!
:target {:op :var
:env {}
:form 'foo
:info nil}
:value {:op :var
:env {}
:form 'bar
:info nil}
:form '(set! foo bar)
:env {}}))
(is (= (analyze {} '(set! *registry* {}))
{:op :set!
:target {:op :var
:env {}
:form '*registry*
:info nil}
:value {:op :dictionary
:env {}
:form {}
:keys []
:values []
:hash? true}
:form '(set! *registry* {})
:env {}}))
(is (= (analyze {} '(set! (.-log console) print))
{:op :set!
:target {:op :member-expression
:env {}
:form '(aget console 'log)
:computed false
:target {:op :var
:env {}
:form 'console
:info nil}
:property {:op :var
:env {}
:form 'log
:info nil}}
:value {:op :var
:env {}
:form 'print
:info nil}
:form '(set! (.-log console) print)
:env {}}))
(is (= (analyze {} '(do
(read content)
(print "read")
(write content)))
{:op :do
:env {}
:form '(do
(read content)
(print "read")
(write content))
:statements [{:op :invoke
:env {}
:form '(read content)
:tag nil
:callee {:op :var
:env {}
:form 'read
:info nil}
:params [{:op :var
:env {}
:form 'content
:info nil}]}
{:op :invoke
:env {}
:form '((aget console 'log) "read")
:tag nil
:callee {:op :member-expression
:computed false
:env {}
:form '(aget console 'log)
:target {:op :var
:env {}
:form 'console
:info nil}
:property {:op :var
:env {}
:form 'log
:info nil}}
:params [{:op :constant
:env {}
:form "read"}]}]
:result {:op :invoke
:env {}
:form '(write content)
:tag nil
:callee {:op :var
:env {}
:form 'write
:info nil}
:params [{:op :var
:env {}
:form 'content
:info nil}]}}))
(is (= (analyze {} '(def x 1))
{:op :def
:env {}
:form '(def x 1)
:doc nil
:var {:op :var
:env {}
:form 'x
:info nil}
:init {:op :constant
:env {}
:form 1}
:tag nil
:dinamyc nil
:export false}))
(is (= (analyze {:parent {}} '(def x 1))
{:op :def
:env {:parent {}}
:form '(def x 1)
:doc nil
:var {:op :var
:env {:parent {}}
:form 'x
:info nil}
:init {:op :constant
:env {:parent {}}
:form 1}
:tag nil
:dinamyc nil
:export true}))
(is (= (analyze {:parent {}} '(def x (foo bar)))
{:op :def
:env {:parent {}}
:form '(def x (foo bar))
:doc nil
:tag nil
:var {:op :var
:env {:parent {}}
:form 'x
:info nil}
:init {:op :invoke
:env {:parent {}}
:form '(foo bar)
:tag nil
:callee {:op :var
:form 'foo
:env {:parent {}}
:info nil}
:params [{:op :var
:form 'bar
:env {:parent {}}
:info nil}]}
:dinamyc nil
:export true}))
(let [bindings [{:name 'x
:init {:op :constant
:env {}
:form 1}
:tag nil
:local true
:shadow nil}
{:name 'y
:init {:op :constant
:env {}
:form 2}
:tag nil
:local true
:shadow nil}]]
(is (= (analyze {} '(let [x 1 y 2] (+ x y)))
{:op :let
:env {}
:form '(let [x 1 y 2] (+ x y))
:loop false
:bindings bindings
:statements nil
:result {:op :invoke
:form '(+ x y)
:env {:parent {}
:bindings bindings}
:tag nil
:callee {:op :var
:form '+
:env {:parent {}
:bindings bindings}
:info nil}
:params [{:op :var
:form 'x
:env {:parent {}
:bindings bindings}
:info nil}
{:op :var
:form 'y
:env {:parent {}
:bindings bindings}
:info nil}]}})))
(let [bindings [{:name 'chars
:init {:op :var
:form 'stream
:info nil
:env {}}
:tag nil
:shadow nil
:local true}
{:name 'result
:init {:op :vector
:items []
:form []
:env {}}
:tag nil
:shadow nil
:local true}]]
(is (= (analyze {} '(loop [chars stream
result []]
(if (empty? chars)
:eof
(recur (rest chars)
(conj result (first chars))))))
{:op :loop
:loop true
:form '(loop [chars stream
result []]
(if (empty? chars) :eof
(recur (rest chars)
(conj result (first chars)))))
:env {}
:bindings bindings
:statements nil
:result {:op :if
:form '(if (empty? chars)
:eof
(recur (rest chars)
(conj result (first chars))))
:env {:parent {}
:bindings bindings
:params bindings}
:test {:op :invoke
:form '(empty? chars)
:env {:parent {}
:bindings bindings
:params bindings}
:tag nil
:callee {:op :var
:env {:parent {}
:bindings bindings
:params bindings}
:form 'empty?
:info nil}
:params [{:op :var
:form 'chars
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}]}
:consequent {:op :constant
:env {:parent {}
:bindings bindings
:params bindings}
:form ':eof}
:alternate {:op :recur
:form '(recur (rest chars)
(conj result (first chars)))
:env {:parent {}
:bindings bindings
:params bindings}
:params [{:op :invoke
:tag nil
:form '(rest chars)
:env {:parent {}
:bindings bindings
:params bindings}
:callee {:op :var
:form 'rest
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}
:params [{:op :var
:form 'chars
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}]}
{:op :invoke
:tag nil
:form '(conj result (first chars))
:env {:parent {}
:bindings bindings
:params bindings}
:callee {:op :var
:form 'conj
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}
:params [{:op :var
:form 'result
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}
{:op :invoke
:tag nil
:form '(first chars)
:env {:parent {}
:bindings bindings
:params bindings}
:callee {:op :var
:form 'first
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}
:params [{:op :var
:form 'chars
:info nil
:env {:parent {}
:bindings bindings
:params bindings}}]}]}]}}})))
(is (= (analyze {} '(fn [] x))
{:op :fn
:name nil
:variadic false
:form '(fn [] x)
:methods [{:op :overload
:variadic false
:arity 0
:params []
:form '([] x)
:statements nil
:result {:op :var
:form 'x
:info nil
:env {:parent {}
:locals {}}}
:env {:parent {}
:locals {}}}]
:env {}}))
(is (= (analyze {} '(fn foo [] x))
{:op :fn
:name 'foo
:variadic false
:form '(fn foo [] x)
:methods [{:op :overload
:variadic false
:arity 0
:params []
:form '([] x)
:statements nil
:result {:op :var
:form 'x
:info nil
:env {:parent {}
:locals {:foo {:op :var
:fn-var true
:shadow nil
:form 'foo
:env {}}}}}
:env {:parent {}
:locals {:foo {:op :var
:fn-var true
:shadow nil
:form 'foo
:env {}}}}}]
:env {}}))
(is (= (analyze {} '(fn foo [a] x))
{:op :fn
:name 'foo
:variadic false
:form '(fn foo [a] x)
:methods [{:op :overload
:variadic false
:arity 1
:params [{:name 'a
:tag nil
:shadow nil}]
:form '([a] x)
:statements nil
:result {:op :var
:form 'x
:info nil
:env {:parent {}
:locals {:foo {:op :var
:fn-var true
:shadow nil
:form 'foo
:env {}}
:a {:name 'a
:tag nil
:shadow nil}}}}
:env {:parent {}
:locals {:foo {:op :var
:fn-var true
:shadow nil
:form 'foo
:env {}}
:a {:name 'a
:tag nil
:shadow nil}}}}]
:env {}}))
(is (= (analyze {} '(fn ([] x)))
{:op :fn
:name nil
:variadic false
:form '(fn ([] x))
:methods [{:op :overload
:variadic false
:arity 0
:params []
:form '([] x)
:statements nil
:result {:op :var
:form 'x
:info nil
:env {:parent {}
:locals {}}}
:env {:parent {}
:locals {}}}]
:env {}}))
(is (= (analyze {} '(fn [& args] x))
{:op :fn
:name nil
:variadic true
:form '(fn [& args] x)
:methods [{:op :overload
:variadic true
:arity 0
:params [{:name 'args
:tag nil
:shadow nil}]
:form '([& args] x)
:statements nil
:result {:op :var
:form 'x
:info nil
:env {:parent {}
:locals {:args {:name 'args
:tag nil
:shadow nil}}}}
:env {:parent {}
:locals {:args {:name 'args
:tag nil
:shadow nil}}}}]
:env {}}))
(is (= (analyze {} '(fn ([] 0) ([x] x)))
{:op :fn
:name nil
:variadic false
:form '(fn ([] 0) ([x] x))
:methods [{:op :overload
:variadic false
:arity 0
:params []
:form '([] 0)
:statements nil
:result {:op :constant
:form 0
:env {:parent {}
:locals {}}}
:env {:parent {}
:locals {}}}
{:op :overload
:variadic false
:arity 1
:params [{:name 'x
:tag nil
:shadow nil}]
:form '([x] x)
:statements nil
:result {:op :var
:form 'x
:info {:name 'x
:tag nil
:shadow nil}
:env {:parent {}
:locals {:x {:name 'x
:tag nil
:shadow nil}}}}
:env {:parent {}
:locals {:x {:name 'x
:tag nil
:shadow nil}}}}]
:env {}}))
(is (= (analyze {} '(fn ([] 0) ([x] x) ([x & nums] :etc)))
{:op :fn
:name nil
:variadic true
:form '(fn ([] 0) ([x] x) ([x & nums] :etc))
:methods [{:op :overload
:variadic false
:arity 0
:params []
:form '([] 0)
:statements nil
:result {:op :constant
:form 0
:env {:parent {}
:locals {}}}
:env {:parent {}
:locals {}}}
{:op :overload
:variadic false
:arity 1
:params [{:name 'x
:tag nil
:shadow nil}]
:form '([x] x)
:statements nil
:result {:op :var
:form 'x
:info {:name 'x
:tag nil
:shadow nil}
:env {:parent {}
:locals {:x {:name 'x
:tag nil
:shadow nil}}}}
:env {:parent {}
:locals {:x {:name 'x
:tag nil
:shadow nil}}}}
{:op :overload
:variadic true
:arity 1
:params [{:name 'x
:tag nil
:shadow nil}
{:name 'nums
:tag nil
:shadow nil}]
:form '([x & nums] :etc)
:statements nil
:result {:op :constant
:form ':etc
:env {:parent {}
:locals {:x {:name 'x
:tag nil
:shadow nil}
:nums {:name 'nums
:tag nil
:shadow nil}}}}
:env {:parent {}
:locals {:x {:name 'x
:tag nil
:shadow nil}
:nums {:name 'nums
:tag nil
:shadow nil}}}}]
:env {}}))
(is (= (analyze {} '(ns foo.bar
"hello world"
(:require [my.lib :refer [foo bar]]
[foo.baz :refer [a] :rename {a b}])))
{:op :ns
:name 'foo.bar
:doc "hello world"
:require [{:op :require
:alias nil
:ns 'my.lib
:refer [{:op :refer
:name 'foo
:form 'foo
:rename nil
:ns 'my.lib}
{:op :refer
:name 'bar
:form 'bar
:rename nil
:ns 'my.lib}]
:form '[my.lib :refer [foo bar]]}
{:op :require
:alias nil
:ns 'foo.baz
:refer [{:op :refer
:name 'a
:form 'a
:rename 'b
:ns 'foo.baz}]
:form '[foo.baz :refer [a] :rename {a b}]}]
:form '(ns foo.bar
"hello world"
(:require [my.lib :refer [foo bar]]
[foo.baz :refer [a] :rename {a b}]))
:env {}}))
(is (= (analyze {} '(ns foo.bar
"hello world"
(:require lib.a
[lib.b]
[lib.c :as c]
[lib.d :refer [foo bar]]
[lib.e :refer [beep baz] :as e]
[lib.f :refer [faz] :rename {faz saz}]
[lib.g :refer [beer] :rename {beer coffee} :as booze])))
{:op :ns
:name 'foo.bar
:doc "hello world"
:require [{:op :require
:alias nil
:ns 'lib.a
:refer nil
:form 'lib.a}
{:op :require
:alias nil
:ns 'lib.b
:refer nil
:form '[lib.b]}
{:op :require
:alias 'c
:ns 'lib.c
:refer nil
:form '[lib.c :as c]}
{:op :require
:alias nil
:ns 'lib.d
:form '[lib.d :refer [foo bar]]
:refer [{:op :refer
:name 'foo
:form 'foo
:rename nil
:ns 'lib.d}
{:op :refer
:name 'bar
:form 'bar
:rename nil
:ns 'lib.d
}]}
{:op :require
:alias 'e
:ns 'lib.e
:form '[lib.e :refer [beep baz] :as e]
:refer [{:op :refer
:name 'beep
:form 'beep
:rename nil
:ns 'lib.e}
{:op :refer
:name 'baz
:form 'baz
:rename nil
:ns 'lib.e}]}
{:op :require
:alias nil
:ns 'lib.f
:form '[lib.f :refer [faz] :rename {faz saz}]
:refer [{:op :refer
:name 'faz
:form 'faz
:rename 'saz
:ns 'lib.f}]}
{:op :require
:alias 'booze
:ns 'lib.g
:form '[lib.g :refer [beer] :rename {beer coffee} :as booze]
:refer [{:op :refer
:name 'beer
:form 'beer
:rename 'coffee
:ns 'lib.g}]}]
:form '(ns foo.bar
"hello world"
(:require lib.a
[lib.b]
[lib.c :as c]
[lib.d :refer [foo bar]]
[lib.e :refer [beep baz] :as e]
[lib.f :refer [faz] :rename {faz saz}]
[lib.g :refer [beer] :rename {beer coffee} :as booze]))
:env {}}))
| wisp | 5 | NhanHo/wisp | test/analyzer.wisp | [
"BSD-3-Clause"
] |
concrete QuestionCat of Question = CatCat ** QuestionRomance with
(ResRomance = ResCat) ;
| Grammatical Framework | 0 | daherb/gf-rgl | src/catalan/QuestionCat.gf | [
"BSD-3-Clause"
] |
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
#main {
position: absolute;
left: 0;
top: 0;
right: 0;
bottom: 0;
}
* {
font-family: "Helvetica Neue",Helvetica,"PingFang SC","Hiragino Sans GB","Microsoft YaHei","微软雅黑",Arial,sans-serif;
}
.header {
background-color: #fff;
box-shadow: 0 0 20px rgba(0, 0, 0, 0.05);
position: relative;
z-index: 20;
height: 55px;
}
.header>* {
display: inline-block;
vertical-align: middle;
}
.header h1 {
color: #222;
line-height: 50px;
margin: 0;
font-size: 20px;
}
#logo>* {
display: inline-block;
vertical-align: middle;
}
#logo img {
height: 30px;
margin-right: 20px;
}
.el-aside {
box-shadow: 0 0 20px rgba(0, 0, 0, 0.1);
position: relative;
z-index: 10;
}
.el-main {
background: #f3f4fa;
padding: 0;
}
.nav-toolbar, .test-run-controls {
padding: 10px 10px;
background: #fff;
position: fixed;
width: 330px;
z-index: 2;
/* box-shadow: 0 0 20px rgba(0, 0, 0, 0.1); */
border-bottom: 1px solid #eee;
}
.test-run-controls {
z-index: 1;
position: sticky;
width: 100%;
padding: 5px 40px;
top: 0px;
background: #896bda;
box-shadow: 0 0 20px rgb(0 0 0 / 20%);
border-bottom: none;
}
.test-run-controls>* {
display: inline-block;
vertical-align: middle;
}
.nav-toolbar .el-button {
padding-left: 8px;
padding-right: 8px;
}
.run-config-item {
margin: 0 5px;
color: #fff;
font-size: 12px;
}
.run-config-item>* {
display: inline-block;
vertical-align: middle;
font-size: 12px;
color: #fff;
}
.run-config-item .el-progress-circle__track {
stroke: rgba(255, 255, 255, 0.3)!important;
}
.run-config-item .el-progress-circle__path {
stroke: rgba(255, 255, 255, 1)!important;
}
.run-config-item .el-input__inner,
.run-config-item .el-button-group {
border: none;
}
.run-config-item .el-button {
border-color: #fff;
}
.run-config-item .label {
margin-right: 2px;
margin-left: 5px;
text-transform: uppercase;
}
.test-list {
overflow-x: hidden;
background: #fff;
margin: 0;
padding: 0;
position: absolute;
top: 48px;
bottom: 0;
right: 0;
left: 0;
overflow-y: scroll;
}
.test-list li {
list-style: none;
padding-left: 10px;
cursor: pointer;
color: #222;
}
.test-list li .el-checkbox {
margin-right: 5px;
}
.test-list li a.menu-link {
display: inline-block;
text-decoration: none;
font-size: 14px;
line-height: 40px;
color: #222;
margin-left: 3px;
cursor: pointer;
}
.test-list li a.menu-link i {
font-size: 16px;
margin-left: 10px;
color: #ccc;
}
.test-list li.active {
background: #5470C6;
}
.test-list li.active a {
color: #fff;
}
.test-list li:hover {
border-right: 4px solid #5470C6
}
.test-list li>* {
vertical-align: middle;
display: inline-block
}
.test-list .el-progress__text {
font-size: 12px!important;
}
.el-progress.is-success .el-progress__text {
color: #67C23A;
-webkit-text-stroke: 1px #67C23A;
}
.el-progress.is-exception .el-progress__text {
color: #F56C6C;
-webkit-text-stroke: 1px #F56C6C;
}
.no-result {
text-align: center;
font-size: 30px;
padding: 100px 0;
color: #ccc;
}
.test-result {
padding: 20px;
margin-top: 20px;
}
.test-result .el-progress__text {
font-size: 14px!important;
}
.test-result h3 {
font-size: 40px;
font-weight: 200;
padding: 0;
margin: 0;
}
.test-result .title {
margin-left: 20px;
}
.test-result .title>* {
display: inline-block;
vertical-align: middle;
}
.test-result .title a {
margin-left: 10px;
font-size: 20px;
font-weight: 200;
text-decoration: none;
}
.test-result .title a:hover {
text-decoration: underline;
}
.single-test-ops {
padding: 20px 20px 0 10px;
}
.single-test-ops .el-button {
margin-left: 10px;
}
.test-screenshots {
margin-top: 20px;
padding: 0 20px;
}
.test-screenshots h4 {
margin-top: 60px;
}
.test-screenshots .preview {
cursor: pointer;
color: #409eff;
float: right;
font-size: 20px;
}
.test-screenshots .preview:hover {
text-decoration: underline;
}
.test-screenshots img {
/* height: 200px; */
width: 100%;
}
.test-screenshots h4 {
font-size: 30px;
font-weight: 200;
color: #162436;
}
.test-errors, .test-logs {
margin-top: 20px;
padding: 0 20px;
}
.test-logs .log-item {
margin: 10px 20px;
color: #909399;
}
.test-errors .error-item {
margin: 10px 20px;
color: #f56c6c
}
iframe {
border: none;
overflow: overlay;
}
#tests-runs-dialog .el-dialog {
width: 90%;
max-width: 1200px;
}
::-webkit-scrollbar {
height: 8px;
width: 8px;
-webkit-transition: all 0.3s ease-in-out;
transition: all 0.3s ease-in-out;
-webkit-border-radius: 2px;
border-radius: 2px
}
::-webkit-scrollbar-button {
display: none
}
::-webkit-scrollbar-thumb {
width: 8px;
min-height: 15px;
background: rgba(50,50,50,0.6) !important;
-webkit-transition: all 0.3s ease-in-out;
transition: all 0.3s ease-in-out;
-webkit-border-radius: 2px;
border-radius: 2px
}
::-webkit-scrollbar-thumb:hover {
background: rgba(0,0,0,0.5) !important
}
| CSS | 3 | DominiqueDeCordova/echarts | test/runTest/client/client.css | [
"Apache-2.0"
] |
#include <metal_stdlib>
#include "TexelSamplingTypes.h"
using namespace metal;
fragment half4 laplacianFilter(NearbyTexelVertexIO fragmentInput [[stage_in]],
texture2d<half> inputTexture [[texture(0)]])
{
constexpr sampler quadSampler(coord::pixel);
half3 bottomColor = inputTexture.sample(quadSampler, fragmentInput.bottomTextureCoordinate).rgb;
half3 bottomLeftColor = inputTexture.sample(quadSampler, fragmentInput.bottomLeftTextureCoordinate).rgb;
half3 bottomRightColor = inputTexture.sample(quadSampler, fragmentInput.bottomRightTextureCoordinate).rgb;
half4 centerColor = inputTexture.sample(quadSampler, fragmentInput.textureCoordinate);
half3 leftColor = inputTexture.sample(quadSampler, fragmentInput.leftTextureCoordinate).rgb;
half3 rightColor = inputTexture.sample(quadSampler, fragmentInput.rightTextureCoordinate).rgb;
half3 topColor = inputTexture.sample(quadSampler, fragmentInput.topTextureCoordinate).rgb;
half3 topRightColor = inputTexture.sample(quadSampler, fragmentInput.topRightTextureCoordinate).rgb;
half3 topLeftColor = inputTexture.sample(quadSampler, fragmentInput.topLeftTextureCoordinate).rgb;
half3 resultColor = topLeftColor * 0.5h + topColor * 1.0h + topRightColor * 0.5h;
resultColor += leftColor * 1.0h + centerColor.rgb * (-6.0h) + rightColor * 1.0h;
resultColor += bottomLeftColor * 0.5h + bottomColor * 1.0h + bottomRightColor * 0.5h;
// Normalize the results to allow for negative gradients in the 0.0-1.0 colorspace
resultColor = resultColor + 0.5h;
return half4(resultColor, centerColor.a);
}
| Metal | 4 | luoxiao/GPUImage3 | framework/Source/Operations/Laplacian.metal | [
"BSD-3-Clause"
] |
/*==============================================================*/
/* DBMS name: MySQL 5.0 */
/* Created on: 2017/4/26 23:13:39 */
/*==============================================================*/
/*==============================================================*/
/* Table: ucenter_oauth */
/*==============================================================*/
create table ucenter_oauth
(
oauth_id int unsigned not null auto_increment comment '编号',
name varchar(20) comment '认证方式名称',
primary key (oauth_id)
);
alter table ucenter_oauth comment '认证方式表';
/*==============================================================*/
/* Table: ucenter_user */
/*==============================================================*/
create table ucenter_user
(
user_id int unsigned not null auto_increment comment '编号',
password varchar(32) comment '密码(MD5(密码+盐))',
salt varchar(32) comment '盐',
nickname varchar(20) comment '昵称',
sex tinyint(4) default 0 comment '性别(0:未知,1:男,2:女)',
avatar varchar(100) comment '头像',
create_time timestamp default CURRENT_TIMESTAMP comment '注册时间',
create_ip varchar(50) comment '注册IP地址',
last_login_time timestamp comment '最后登录时间',
last_login_ip varchar(50) comment '最后登录IP地址',
primary key (user_id)
);
alter table ucenter_user comment '用户表';
/*==============================================================*/
/* Table: ucenter_user_details */
/*==============================================================*/
create table ucenter_user_details
(
user_id int unsigned not null comment '编号',
signature varchar(300) comment '个性签名',
real_name varchar(20) comment '真实姓名',
birthday timestamp comment '出生日期',
question varchar(100) comment '帐号安全问题',
answer varchar(100) comment '帐号安全答案',
primary key (user_id)
);
alter table ucenter_user_details comment '用户详情表';
/*==============================================================*/
/* Table: ucenter_user_log */
/*==============================================================*/
create table ucenter_user_log
(
user_log_id int unsigned not null auto_increment comment '编号',
user_id int unsigned comment '用户编号',
content varbinary(100) comment '内容',
ip varchar(20) comment '操作IP地址',
agent varbinary(200) comment '操作环境',
create_time timestamp default CURRENT_TIMESTAMP comment '操作时间',
primary key (user_log_id)
);
alter table ucenter_user_log comment '用户操作日志表';
/*==============================================================*/
/* Table: ucenter_user_oauth */
/*==============================================================*/
create table ucenter_user_oauth
(
user_oauth_id int unsigned not null auto_increment comment '编号',
user_id int unsigned not null comment '帐号编号',
oauth_id int unsigned not null comment '认证方式编号',
open_id varbinary(50) not null comment '第三方ID',
status tinyint(4) unsigned comment '绑定状态(0:解绑,1:绑定)',
create_time timestamp default CURRENT_TIMESTAMP comment '创建时间',
primary key (user_oauth_id)
);
alter table ucenter_user_oauth comment '用户认证方式表';
alter table ucenter_user_details add constraint FK_Reference_41 foreign key (user_id)
references ucenter_user (user_id) on delete restrict on update restrict;
alter table ucenter_user_log add constraint FK_Reference_44 foreign key (user_id)
references ucenter_user (user_id) on delete restrict on update restrict;
alter table ucenter_user_oauth add constraint FK_Reference_42 foreign key (user_id)
references ucenter_user (user_id) on delete restrict on update restrict;
alter table ucenter_user_oauth add constraint FK_Reference_43 foreign key (oauth_id)
references ucenter_oauth (oauth_id) on delete restrict on update restrict;
| SQL | 4 | IamTenKing/zheng | project-datamodel/zheng-ucenter.sql | [
"MIT"
] |
with Samples.Petstore.Clients;
with Samples.Petstore.Models;
with Swagger;
with Util.Http.Clients.Curl;
with Ada.Text_IO;
with Ada.Command_Line;
with Ada.Calendar.Formatting;
with Ada.Exceptions;
procedure Samples.Petstore.Client is
use Ada.Text_IO;
procedure Usage;
Server : constant Swagger.UString := Swagger.To_UString ("http://localhost:8080/v2");
Arg_Count : constant Natural := Ada.Command_Line.Argument_Count;
Arg : Positive := 1;
procedure Usage is
begin
Put_Line ("Usage: Petstore {params}...");
end Usage;
begin
if Arg_Count <= 1 then
Usage;
return;
end if;
Util.Http.Clients.Curl.Register;
declare
Command : constant String := Ada.Command_Line.Argument (Arg);
Item : constant String := Ada.Command_Line.Argument (Arg + 1);
C : Samples.Petstore.Clients.Client_Type;
begin
C.Set_Server (Server);
Arg := Arg + 2;
exception
when E : Constraint_Error =>
Put_Line ("Constraint error raised: " & Ada.Exceptions.Exception_Message (E));
end;
end Samples.Petstore.Client;
| Ada | 3 | MalcolmScoffable/openapi-generator | samples/client/petstore/ada/src/samples-petstore-client.adb | [
"Apache-2.0"
] |
;Inspired by PCSX2's Web Installer Script
!define REDIST_NAME "Visual C++ 2015 Redistributable"
!define REDIST_SETUP_FILENAME "vc_redist.x64.exe"
Section "${REDIST_NAME}" SEC_CRT2015
SectionIn RO
ClearErrors
ReadRegDword $R0 HKLM "SOFTWARE\Wow6432Node\Microsoft\VisualStudio\14.0\VC\Runtimes\x64" "Installed"
IfErrors 0 +2
DetailPrint "Installing ${REDIST_NAME}..."
StrCmp $R0 "1" 0 +3
DetailPrint "${REDIST_NAME} is already installed. Skipping."
Goto done
SetOutPath "$TEMP"
DetailPrint "Downloading ${REDIST_NAME} Setup..."
NSISdl::download /TIMEOUT=15000 "http://download.microsoft.com/download/9/3/F/93FCF1E7-E6A4-478B-96E7-D4B285925B00/vc_redist.x64.exe" "${REDIST_SETUP_FILENAME}"
Pop $R0 ;Get the return value
StrCmp $R0 "success" OnSuccess
Pop $R0 ;Get the return value
StrCmp $R0 "success" +2
MessageBox MB_OK "Could not download ${REDIST_NAME} Setup."
Goto done
OnSuccess:
DetailPrint "Running ${REDIST_NAME} Setup..."
ExecWait '"$TEMP\${REDIST_SETUP_FILENAME}" /q /norestart'
DetailPrint "Finished ${REDIST_NAME} Setup"
Delete "$TEMP\${REDIST_SETUP_FILENAME}"
done:
SectionEnd
| NSIS | 4 | Croden1999/Play- | installer_win32/vcredist2015_x64.nsh | [
"BSD-2-Clause"
] |
#!/bin/sh
PATH=/bin:/usr/bin
TERM=screen
[ -z "$TEST_TMUX" ] && TEST_TMUX=$(readlink -f ../tmux)
TMUX="$TEST_TMUX -Ltest"
$TMUX kill-server 2>/dev/null
TMP=$(mktemp)
trap "rm -f $TMP" 0 1 15
$TMUX -f/dev/null new -d -x7 -y2 \
"printf 'abcdefabcdefab'; printf '\e[2;7H'; cat" || exit 1
$TMUX set -g window-size manual || exit 1
$TMUX display -pF '#{cursor_x} #{cursor_y} #{cursor_character}' >>$TMP
$TMUX capturep -p|awk '{print NR-1,$0}' >>$TMP
$TMUX resizew -x5 || exit 1
$TMUX display -pF '#{cursor_x} #{cursor_y} #{cursor_character}' >>$TMP
$TMUX capturep -p|awk '{print NR-1,$0}' >>$TMP
$TMUX resizew -x7 || exit 1
$TMUX display -pF '#{cursor_x} #{cursor_y} #{cursor_character}' >>$TMP
$TMUX capturep -p|awk '{print NR-1,$0}' >>$TMP
cmp -s $TMP cursor-test3.result || exit 1
$TMUX kill-server 2>/dev/null
exit 0
| Shell | 3 | SliceThePi/tmux | regress/cursor-test3.sh | [
"ISC"
] |
# Test passing a hash as an argument
# @expect="/nlist[@name='profile']/boolean[@name='result']='true'"
#
object template format10;
variable HASH = dict("entry1", 1, "entry2", 2);
variable STR = format("%s", HASH);
'/result' = {
expected = "{ entry1, 1, entry2, 2 }";
STR == expected;
};
| Pan | 3 | aka7/pan | panc/src/test/pan/Functionality/format/format10.pan | [
"Apache-2.0"
] |
redo-ifchange gitvars prodname
read PROD <prodname
exec <gitvars
read COMMIT
read NAMES
read DATE
# the list of names is of the form:
# (x,y,tag: $PROD-####,tag: $PROD-####,a,b)
# The entries we want are the ones starting with "tag: $PROD-" since those
# refer to the right actual git tags.
names_to_tag()
{
x=${1#\(}
x=${x%\)}
cur=
while [ "$cur" != "$x" ]; do
x=${x# }
x=${x#tag: }
cur=${x%%,*}
tagpost=${cur#$PROD-}
if [ "$cur" != "$tagpost" ]; then
echo "$tagpost"
return 0
fi
x=${x#*,}
done
commitpost=${COMMIT#???????}
commitpre=${COMMIT%$commitpost}
echo "unknown-$commitpre"
}
sTAG=$(names_to_tag "$NAMES")
echo "COMMIT='$COMMIT'"
echo "TAG='$sTAG'"
echo "DATE='${DATE%% *}'"
| Stata | 4 | BlameJohnny/redo | redo/version/vars.do | [
"Apache-2.0"
] |
IN;VS40;PU;PA;SP1;
PU;PA 7111,1767;
EA 11450,482;
PU;PA 402,8035;
EA 11530,402;
PU;PA 482,7955;
EA 11450,482;
PU;PA 2410,7955;
PD;PA 2410,8035;
PU;PA 4419,7955;
PD;PA 4419,8035;
PU;PA 6428,7955;
PD;PA 6428,8035;
PU;PA 8437,7955;
PD;PA 8437,8035;
PU;PA 10445,7955;
PD;PA 10445,8035;
PU;PA 1446,7971;
PD;PA 1416,7971;
PU;PA 1431,7971;
PD;PA 1431,8023;
PA 1426,8016;
PA 1421,8011;
PA 1416,8009;
PU;PA 3424,8019;
PD;PA 3427,8021;
PA 3432,8023;
PA 3444,8023;
PA 3449,8021;
PA 3451,8019;
PA 3454,8014;
PA 3454,8009;
PA 3451,8002;
PA 3421,7971;
PA 3454,7971;
PU;PA 5431,8023;
PD;PA 5463,8023;
PA 5446,8004;
PA 5453,8004;
PA 5458,8002;
PA 5460,7999;
PA 5463,7994;
PA 5463,7982;
PA 5460,7977;
PA 5458,7975;
PA 5453,7971;
PA 5439,7971;
PA 5434,7975;
PA 5431,7977;
PU;PA 7466,8006;
PD;PA 7466,7971;
PU;PA 7454,8027;
PD;PA 7442,7989;
PA 7473,7989;
PU;PA 9478,8023;
PD;PA 9453,8023;
PA 9451,7999;
PA 9453,8002;
PA 9458,8004;
PA 9470,8004;
PA 9476,8002;
PA 9478,7999;
PA 9481,7994;
PA 9481,7982;
PA 9478,7977;
PA 9476,7975;
PA 9470,7971;
PA 9458,7971;
PA 9453,7975;
PA 9451,7977;
PU;PA 11484,8023;
PD;PA 11473,8023;
PA 11468,8021;
PA 11466,8019;
PA 11461,8011;
PA 11459,8002;
PA 11459,7982;
PA 11461,7977;
PA 11464,7975;
PA 11468,7971;
PA 11479,7971;
PA 11484,7975;
PA 11486,7977;
PA 11489,7982;
PA 11489,7994;
PA 11486,7999;
PA 11484,8002;
PA 11479,8004;
PA 11468,8004;
PA 11464,8002;
PA 11461,7999;
PA 11459,7994;
PU;PA 2410,482;
PD;PA 2410,402;
PU;PA 4419,482;
PD;PA 4419,402;
PU;PA 6428,482;
PD;PA 6428,402;
PU;PA 8437,482;
PD;PA 8437,402;
PU;PA 10445,482;
PD;PA 10445,402;
PU;PA 1446,418;
PD;PA 1416,418;
PU;PA 1431,418;
PD;PA 1431,470;
PA 1426,463;
PA 1421,458;
PA 1416,456;
PU;PA 3424,466;
PD;PA 3427,468;
PA 3432,470;
PA 3444,470;
PA 3449,468;
PA 3451,466;
PA 3454,461;
PA 3454,456;
PA 3451,449;
PA 3421,418;
PA 3454,418;
PU;PA 5431,470;
PD;PA 5463,470;
PA 5446,451;
PA 5453,451;
PA 5458,449;
PA 5460,446;
PA 5463,441;
PA 5463,429;
PA 5460,423;
PA 5458,421;
PA 5453,418;
PA 5439,418;
PA 5434,421;
PA 5431,423;
PU;PA 7466,453;
PD;PA 7466,418;
PU;PA 7454,473;
PD;PA 7442,436;
PA 7473,436;
PU;PA 9478,470;
PD;PA 9453,470;
PA 9451,446;
PA 9453,449;
PA 9458,451;
PA 9470,451;
PA 9476,449;
PA 9478,446;
PA 9481,441;
PA 9481,429;
PA 9478,423;
PA 9476,421;
PA 9470,418;
PA 9458,418;
PA 9453,421;
PA 9451,423;
PU;PA 11484,470;
PD;PA 11473,470;
PA 11468,468;
PA 11466,466;
PA 11461,458;
PA 11459,449;
PA 11459,429;
PA 11461,423;
PA 11464,421;
PA 11468,418;
PA 11479,418;
PA 11484,421;
PA 11486,423;
PA 11489,429;
PA 11489,441;
PA 11486,446;
PA 11484,449;
PA 11479,451;
PA 11468,451;
PA 11464,449;
PA 11461,446;
PA 11459,441;
PU;PA 402,6027;
PD;PA 482,6027;
PU;PA 402,4017;
PD;PA 482,4017;
PU;PA 402,2009;
PD;PA 482,2009;
PU;PA 430,7022;
PD;PA 454,7022;
PU;PA 424,7007;
PD;PA 442,7059;
PA 459,7007;
PU;PA 446,5027;
PD;PA 453,5024;
PA 456,5021;
PA 458,5016;
PA 458,5009;
PA 456,5004;
PA 453,5002;
PA 449,4999;
PA 429,4999;
PA 429,5051;
PA 446,5051;
PA 451,5049;
PA 453,5047;
PA 456,5042;
PA 456,5037;
PA 453,5032;
PA 451,5030;
PA 446,5027;
PA 429,5027;
PU;PA 458,2995;
PD;PA 456,2993;
PA 449,2990;
PA 444,2990;
PA 436,2993;
PA 432,2998;
PA 429,3003;
PA 427,3012;
PA 427,3020;
PA 429,3030;
PA 432,3035;
PA 436,3040;
PA 444,3042;
PA 449,3042;
PA 456,3040;
PA 458,3038;
PU;PA 429,982;
PD;PA 429,1034;
PA 441,1034;
PA 449,1032;
PA 453,1027;
PA 456,1021;
PA 458,1012;
PA 458,1004;
PA 456,995;
PA 453,990;
PA 449,985;
PA 441,982;
PA 429,982;
PU;PA 11530,6027;
PD;PA 11450,6027;
PU;PA 11530,4017;
PD;PA 11450,4017;
PU;PA 11530,2009;
PD;PA 11450,2009;
PU;PA 11478,7022;
PD;PA 11502,7022;
PU;PA 11472,7007;
PD;PA 11490,7059;
PA 11507,7007;
PU;PA 11494,5027;
PD;PA 11501,5024;
PA 11504,5021;
PA 11506,5016;
PA 11506,5009;
PA 11504,5004;
PA 11501,5002;
PA 11497,4999;
PA 11477,4999;
PA 11477,5051;
PA 11494,5051;
PA 11499,5049;
PA 11501,5047;
PA 11504,5042;
PA 11504,5037;
PA 11501,5032;
PA 11499,5030;
PA 11494,5027;
PA 11477,5027;
PU;PA 11506,2995;
PD;PA 11504,2993;
PA 11497,2990;
PA 11492,2990;
PA 11484,2993;
PA 11480,2998;
PA 11477,3003;
PA 11475,3012;
PA 11475,3020;
PA 11477,3030;
PA 11480,3035;
PA 11484,3040;
PA 11492,3042;
PA 11497,3042;
PA 11504,3040;
PA 11506,3038;
PU;PA 11477,982;
PD;PA 11477,1034;
PA 11489,1034;
PA 11497,1032;
PA 11501,1027;
PA 11504,1021;
PA 11506,1012;
PA 11506,1004;
PA 11504,995;
PA 11501,990;
PA 11497,985;
PA 11489,982;
PA 11477,982;
PU;PA 8049,652;
PD;PA 8049,712;
PA 8063,712;
PA 8072,709;
PA 8078,703;
PA 8081,698;
PA 8084,687;
PA 8084,678;
PA 8081,666;
PA 8078,660;
PA 8072,655;
PA 8063,652;
PA 8049,652;
PU;PA 8135,652;
PD;PA 8135,684;
PA 8133,689;
PA 8127,692;
PA 8115,692;
PA 8109,689;
PU;PA 8135,655;
PD;PA 8130,652;
PA 8115,652;
PA 8109,655;
PA 8106,660;
PA 8106,666;
PA 8109,671;
PA 8115,674;
PA 8130,674;
PA 8135,678;
PU;PA 8155,692;
PD;PA 8178,692;
PU;PA 8163,712;
PD;PA 8163,660;
PA 8166,655;
PA 8171,652;
PA 8178,652;
PU;PA 8221,655;
PD;PA 8215,652;
PA 8204,652;
PA 8198,655;
PA 8195,660;
PA 8195,684;
PA 8198,689;
PA 8204,692;
PA 8215,692;
PA 8221,689;
PA 8223,684;
PA 8223,678;
PA 8195,671;
PU;PA 8250,657;
PD;PA 8253,655;
PA 8250,652;
PA 8247,655;
PA 8250,657;
PA 8250,652;
PU;PA 8250,689;
PD;PA 8253,687;
PA 8250,684;
PA 8247,687;
PA 8250,689;
PA 8250,684;
PU;PA 7111,622;
PD;PA 11450,622;
PU;PA 7165,540;
PD;PA 7165,600;
PU;PA 7200,540;
PD;PA 7173,574;
PU;PA 7200,600;
PD;PA 7165,565;
PU;PA 7226,540;
PD;PA 7226,580;
PU;PA 7226,600;
PD;PA 7222,597;
PA 7226,594;
PA 7229,597;
PA 7226,600;
PA 7226,594;
PU;PA 7289,545;
PD;PA 7286,543;
PA 7278,540;
PA 7271,540;
PA 7262,543;
PA 7257,548;
PA 7254,554;
PA 7251,565;
PA 7251,574;
PA 7254,586;
PA 7257,591;
PA 7262,597;
PA 7271,600;
PA 7278,600;
PA 7286,597;
PA 7289,594;
PU;PA 7340,540;
PD;PA 7340,571;
PA 7338,577;
PA 7332,580;
PA 7320,580;
PA 7314,577;
PU;PA 7340,543;
PD;PA 7335,540;
PA 7320,540;
PA 7314,543;
PA 7311,548;
PA 7311,554;
PA 7314,559;
PA 7320,562;
PA 7335,562;
PA 7340,565;
PU;PA 7394,540;
PD;PA 7394,600;
PU;PA 7394,543;
PD;PA 7389,540;
PA 7377,540;
PA 7371,543;
PA 7368,545;
PA 7365,551;
PA 7365,568;
PA 7368,574;
PA 7371,577;
PA 7377,580;
PA 7389,580;
PA 7394,577;
PU;PA 7468,571;
PD;PA 7489,571;
PU;PA 7497,540;
PD;PA 7468,540;
PA 7468,600;
PA 7497,600;
PU;PA 7522,545;
PD;PA 7526,543;
PA 7522,540;
PA 7519,543;
PA 7522,545;
PA 7522,540;
PU;PA 7551,540;
PD;PA 7551,600;
PA 7565,600;
PA 7575,597;
PA 7580,591;
PA 7583,586;
PA 7586,574;
PA 7586,565;
PA 7583,554;
PA 7580,548;
PA 7575,543;
PA 7565,540;
PA 7551,540;
PU;PA 7611,545;
PD;PA 7614,543;
PA 7611,540;
PA 7608,543;
PA 7611,545;
PA 7611,540;
PU;PA 7637,557;
PD;PA 7665,557;
PU;PA 7632,540;
PD;PA 7651,600;
PA 7671,540;
PU;PA 7692,545;
PD;PA 7695,543;
PA 7692,540;
PA 7689,543;
PA 7692,545;
PA 7692,540;
PU;PA 7812,540;
PD;PA 7812,600;
PU;PA 7818,562;
PD;PA 7836,540;
PU;PA 7836,580;
PD;PA 7812,557;
PU;PA 7861,540;
PD;PA 7861,580;
PU;PA 7861,600;
PD;PA 7858,597;
PA 7861,594;
PA 7864,597;
PA 7861,600;
PA 7861,594;
PU;PA 7915,543;
PD;PA 7910,540;
PA 7898,540;
PA 7893,543;
PA 7890,545;
PA 7887,551;
PA 7887,568;
PA 7890,574;
PA 7893,577;
PA 7898,580;
PA 7910,580;
PA 7915,577;
PU;PA 7967,540;
PD;PA 7967,571;
PA 7965,577;
PA 7959,580;
PA 7948,580;
PA 7942,577;
PU;PA 7967,543;
PD;PA 7962,540;
PA 7948,540;
PA 7942,543;
PA 7939,548;
PA 7939,554;
PA 7942,559;
PA 7948,562;
PA 7962,562;
PA 7967,565;
PU;PA 8021,540;
PD;PA 8021,600;
PU;PA 8021,543;
PD;PA 8016,540;
PA 8004,540;
PA 7999,543;
PA 7996,545;
PA 7993,551;
PA 7993,568;
PA 7996,574;
PA 7999,577;
PA 8004,580;
PA 8016,580;
PA 8021,577;
PU;PA 8113,516;
PD;PA 8110,519;
PA 8104,529;
PA 8102,534;
PA 8099,543;
PA 8096,557;
PA 8096,568;
PA 8099,583;
PA 8102,591;
PA 8104,597;
PA 8110,605;
PA 8113,608;
PU;PA 8133,594;
PD;PA 8136,597;
PA 8142,600;
PA 8156,600;
PA 8161,597;
PA 8164,594;
PA 8167,589;
PA 8167,583;
PA 8164,574;
PA 8130,540;
PA 8167,540;
PU;PA 8204,600;
PD;PA 8210,600;
PA 8216,597;
PA 8218,594;
PA 8221,589;
PA 8225,577;
PA 8225,562;
PA 8221,551;
PA 8218,545;
PA 8216,543;
PA 8210,540;
PA 8204,540;
PA 8199,543;
PA 8196,545;
PA 8193,551;
PA 8190,562;
PA 8190,577;
PA 8193,589;
PA 8196,594;
PA 8199,597;
PA 8204,600;
PU;PA 8282,540;
PD;PA 8247,540;
PU;PA 8264,540;
PD;PA 8264,600;
PA 8258,591;
PA 8253,586;
PA 8247,583;
PU;PA 8333,580;
PD;PA 8333,540;
PU;PA 8318,603;
PD;PA 8304,559;
PA 8342,559;
PU;PA 8364,562;
PD;PA 8410,562;
PU;PA 8439,580;
PD;PA 8439,529;
PA 8436,522;
PA 8431,519;
PA 8428,519;
PU;PA 8439,600;
PD;PA 8436,597;
PA 8439,594;
PA 8442,597;
PA 8439,600;
PA 8439,594;
PU;PA 8493,540;
PD;PA 8493,571;
PA 8491,577;
PA 8485,580;
PA 8473,580;
PA 8467,577;
PU;PA 8493,543;
PD;PA 8488,540;
PA 8473,540;
PA 8467,543;
PA 8464,548;
PA 8464,554;
PA 8467,559;
PA 8473,562;
PA 8488,562;
PA 8493,565;
PU;PA 8521,580;
PD;PA 8521,540;
PU;PA 8521,574;
PD;PA 8525,577;
PA 8530,580;
PA 8539,580;
PA 8545,577;
PA 8547,571;
PA 8547,540;
PU;PA 8576,562;
PD;PA 8621,562;
PU;PA 8647,594;
PD;PA 8650,597;
PA 8656,600;
PA 8670,600;
PA 8676,597;
PA 8679,594;
PA 8682,589;
PA 8682,583;
PA 8679,574;
PA 8644,540;
PA 8682,540;
PU;PA 8736,600;
PD;PA 8707,600;
PA 8704,571;
PA 8707,574;
PA 8713,577;
PA 8728,577;
PA 8733,574;
PA 8736,571;
PA 8739,565;
PA 8739,551;
PA 8736,545;
PA 8733,543;
PA 8728,540;
PA 8713,540;
PA 8707,543;
PA 8704,545;
PU;PA 8758,516;
PD;PA 8761,519;
PA 8767,529;
PA 8770,534;
PA 8772,543;
PA 8776,557;
PA 8776,568;
PA 8772,583;
PA 8770,591;
PA 8767,597;
PA 8761,605;
PA 8758,608;
PU;PA 8804,562;
PD;PA 8850,562;
PU;PA 8879,580;
PD;PA 8879,519;
PU;PA 8879,577;
PD;PA 8885,580;
PA 8896,580;
PA 8902,577;
PA 8904,574;
PA 8907,568;
PA 8907,551;
PA 8904,545;
PA 8902,543;
PA 8896,540;
PA 8885,540;
PA 8879,543;
PU;PA 8933,540;
PD;PA 8933,580;
PU;PA 8933,568;
PD;PA 8936,574;
PA 8939,577;
PA 8944,580;
PA 8950,580;
PU;PA 8979,540;
PD;PA 8973,543;
PA 8970,545;
PA 8967,551;
PA 8967,568;
PA 8970,574;
PA 8973,577;
PA 8979,580;
PA 8988,580;
PA 8994,577;
PA 8996,574;
PA 8999,568;
PA 8999,551;
PA 8996,545;
PA 8994,543;
PA 8988,540;
PA 8979,540;
PU;PA 9050,540;
PD;PA 9050,600;
PU;PA 9050,543;
PD;PA 9045,540;
PA 9033,540;
PA 9028,543;
PA 9025,545;
PA 9021,551;
PA 9021,568;
PA 9025,574;
PA 9028,577;
PA 9033,580;
PA 9045,580;
PA 9050,577;
PU;PA 9104,580;
PD;PA 9104,540;
PU;PA 9079,580;
PD;PA 9079,548;
PA 9082,543;
PA 9087,540;
PA 9096,540;
PA 9102,543;
PA 9104,545;
PU;PA 9158,543;
PD;PA 9153,540;
PA 9141,540;
PA 9136,543;
PA 9133,545;
PA 9130,551;
PA 9130,568;
PA 9133,574;
PA 9136,577;
PA 9141,580;
PA 9153,580;
PA 9158,577;
PU;PA 9177,580;
PD;PA 9199,580;
PU;PA 9185,600;
PD;PA 9185,548;
PA 9188,543;
PA 9193,540;
PA 9199,540;
PU;PA 7111,743;
PD;PA 11450,743;
PU;PA 10614,652;
PD;PA 10594,681;
PU;PA 10580,652;
PD;PA 10580,712;
PA 10603,712;
PA 10608,709;
PA 10611,706;
PA 10614,701;
PA 10614,692;
PA 10611,687;
PA 10608,684;
PA 10603,681;
PA 10580,681;
PU;PA 10663,655;
PD;PA 10657,652;
PA 10646,652;
PA 10640,655;
PA 10637,660;
PA 10637,684;
PA 10640,689;
PA 10646,692;
PA 10657,692;
PA 10663,689;
PA 10665,684;
PA 10665,678;
PA 10637,671;
PU;PA 10686,692;
PD;PA 10700,652;
PA 10715,692;
PU;PA 10738,657;
PD;PA 10741,655;
PA 10738,652;
PA 10735,655;
PA 10738,657;
PA 10738,652;
PU;PA 10738,689;
PD;PA 10741,687;
PA 10738,684;
PA 10735,687;
PA 10738,689;
PA 10738,684;
PU;PA 7162,655;
PD;PA 7171,652;
PA 7186,652;
PA 7191,655;
PA 7194,657;
PA 7197,663;
PA 7197,669;
PA 7194,674;
PA 7191,678;
PA 7186,681;
PA 7173,684;
PA 7168,687;
PA 7165,689;
PA 7162,695;
PA 7162,701;
PA 7165,706;
PA 7168,709;
PA 7173,712;
PA 7189,712;
PA 7197,709;
PU;PA 7222,652;
PD;PA 7222,692;
PU;PA 7222,712;
PD;PA 7219,709;
PA 7222,706;
PA 7226,709;
PA 7222,712;
PA 7222,706;
PU;PA 7245,692;
PD;PA 7277,692;
PA 7245,652;
PA 7277,652;
PU;PA 7323,655;
PD;PA 7317,652;
PA 7306,652;
PA 7300,655;
PA 7297,660;
PA 7297,684;
PA 7300,689;
PA 7306,692;
PA 7317,692;
PA 7323,689;
PA 7326,684;
PA 7326,678;
PA 7297,671;
PU;PA 7352,657;
PD;PA 7355,655;
PA 7352,652;
PA 7349,655;
PA 7352,657;
PA 7352,652;
PU;PA 7352,689;
PD;PA 7355,687;
PA 7352,684;
PA 7349,687;
PA 7352,689;
PA 7352,684;
PU;PA 7423,669;
PD;PA 7452,669;
PU;PA 7418,652;
PD;PA 7438,712;
PA 7458,652;
PU;PA 7504,692;
PD;PA 7504,652;
PU;PA 7490,715;
PD;PA 7476,671;
PA 7513,671;
PU;PA 10580,540;
PD;PA 10580,600;
PU;PA 10634,540;
PD;PA 10634,600;
PU;PA 10634,543;
PD;PA 10629,540;
PA 10616,540;
PA 10611,543;
PA 10608,545;
PA 10605,551;
PA 10605,568;
PA 10608,574;
PA 10611,577;
PA 10616,580;
PA 10629,580;
PA 10634,577;
PU;PA 10662,545;
PD;PA 10665,543;
PA 10662,540;
PA 10659,543;
PA 10662,545;
PA 10662,540;
PU;PA 10662,577;
PD;PA 10665,574;
PA 10662,571;
PA 10659,574;
PA 10662,577;
PA 10662,571;
PU;PA 10734,594;
PD;PA 10737,597;
PA 10743,600;
PA 10757,600;
PA 10762,597;
PA 10765,594;
PA 10768,589;
PA 10768,583;
PA 10765,574;
PA 10731,540;
PA 10768,540;
PU;PA 10837,603;
PD;PA 10786,526;
PU;PA 10851,600;
PD;PA 10889,600;
PA 10868,577;
PA 10878,577;
PA 10883,574;
PA 10886,571;
PA 10889,565;
PA 10889,551;
PA 10886,545;
PA 10883,543;
PA 10878,540;
PA 10860,540;
PA 10854,543;
PA 10851,545;
PU;PA 7111,904;
PD;PA 11450,904;
PU;PA 7169,877;
PD;PA 7215,877;
PU;PA 7183,796;
PD;PA 7192,877;
PU;PA 7233,796;
PD;PA 7239,849;
PU;PA 7242,877;
PD;PA 7238,872;
PA 7241,868;
PA 7246,872;
PA 7242,877;
PA 7241,868;
PU;PA 7266,849;
PD;PA 7297,849;
PU;PA 7281,877;
PD;PA 7272,807;
PA 7276,800;
PA 7283,796;
PA 7291,796;
PU;PA 7329,796;
PD;PA 7321,800;
PA 7318,807;
PA 7327,877;
PU;PA 7390,800;
PD;PA 7382,796;
PA 7366,796;
PA 7359,800;
PA 7356,807;
PA 7360,838;
PA 7365,846;
PA 7372,849;
PA 7388,849;
PA 7396,846;
PA 7399,838;
PA 7398,831;
PA 7358,822;
PU;PA 7429,803;
PD;PA 7433,800;
PA 7429,796;
PA 7425,800;
PA 7429,803;
PA 7429,796;
PU;PA 7435,846;
PD;PA 7438,842;
PA 7434,838;
PA 7430,842;
PA 7435,846;
PA 7434,838;
PU;PA 7186,982;
PD;PA 7165,982;
PU;PA 7165,950;
PD;PA 7165,1010;
PA 7194,1010;
PU;PA 7217,950;
PD;PA 7217,990;
PU;PA 7217,1010;
PD;PA 7214,1007;
PA 7217,1004;
PA 7220,1007;
PA 7217,1010;
PA 7217,1004;
PU;PA 7254,950;
PD;PA 7249,953;
PA 7246,958;
PA 7246,1010;
PU;PA 7301,953;
PD;PA 7295,950;
PA 7284,950;
PA 7278,953;
PA 7275,958;
PA 7275,982;
PA 7278,987;
PA 7284,990;
PA 7295,990;
PA 7301,987;
PA 7303,982;
PA 7303,976;
PA 7275,969;
PU;PA 7330,955;
PD;PA 7333,953;
PA 7330,950;
PA 7327,953;
PA 7330,955;
PA 7330,950;
PU;PA 7330,987;
PD;PA 7333,985;
PA 7330,982;
PA 7327,985;
PA 7330,987;
PA 7330,982;
PU;PA 7404,950;
PD;PA 7404,1010;
PU;PA 7444,1010;
PD;PA 7456,1010;
PA 7461,1007;
PA 7467,1001;
PA 7470,990;
PA 7470,969;
PA 7467,958;
PA 7461,953;
PA 7456,950;
PA 7444,950;
PA 7439,953;
PA 7433,958;
PA 7430,969;
PA 7430,990;
PA 7433,1001;
PA 7439,1007;
PA 7444,1010;
PU;PA 7496,955;
PD;PA 7499,953;
PA 7496,950;
PA 7493,953;
PA 7496,955;
PA 7496,950;
PU;PA 7521,953;
PD;PA 7528,950;
PA 7539,950;
PA 7545,953;
PA 7548,958;
PA 7548,961;
PA 7545,967;
PA 7539,969;
PA 7531,969;
PA 7525,972;
PA 7521,979;
PA 7521,982;
PA 7525,987;
PA 7531,990;
PA 7539,990;
PA 7545,987;
PU;PA 7599,953;
PD;PA 7594,950;
PA 7582,950;
PA 7577,953;
PA 7573,955;
PA 7570,961;
PA 7570,979;
PA 7573,985;
PA 7577,987;
PA 7582,990;
PA 7594,990;
PA 7599,987;
PU;PA 7626,950;
PD;PA 7626,1010;
PU;PA 7651,950;
PD;PA 7651,982;
PA 7649,987;
PA 7643,990;
PA 7634,990;
PA 7629,987;
PA 7626,985;
PU;PA 7111,1145;
PD;PA 11450,1145;
PU;PA 7162,1061;
PD;PA 7171,1058;
PA 7186,1058;
PA 7191,1061;
PA 7194,1063;
PA 7197,1069;
PA 7197,1076;
PA 7194,1081;
PA 7191,1084;
PA 7186,1087;
PA 7173,1090;
PA 7168,1093;
PA 7165,1095;
PA 7162,1101;
PA 7162,1107;
PA 7165,1112;
PA 7168,1115;
PA 7173,1118;
PA 7189,1118;
PA 7197,1115;
PU;PA 7222,1058;
PD;PA 7222,1118;
PU;PA 7248,1058;
PD;PA 7248,1090;
PA 7246,1095;
PA 7240,1098;
PA 7231,1098;
PA 7226,1095;
PA 7222,1093;
PU;PA 7300,1061;
PD;PA 7294,1058;
PA 7283,1058;
PA 7277,1061;
PA 7273,1066;
PA 7273,1090;
PA 7277,1095;
PA 7283,1098;
PA 7294,1098;
PA 7300,1095;
PA 7302,1090;
PA 7302,1084;
PA 7273,1078;
PU;PA 7352,1061;
PD;PA 7346,1058;
PA 7335,1058;
PA 7329,1061;
PA 7326,1066;
PA 7326,1090;
PA 7329,1095;
PA 7335,1098;
PA 7346,1098;
PA 7352,1095;
PA 7354,1090;
PA 7354,1084;
PA 7326,1078;
PU;PA 7372,1098;
PD;PA 7395,1098;
PU;PA 7381,1118;
PD;PA 7381,1066;
PA 7384,1061;
PA 7389,1058;
PA 7395,1058;
PU;PA 7415,1063;
PD;PA 7418,1061;
PA 7415,1058;
PA 7412,1061;
PA 7415,1063;
PA 7415,1058;
PU;PA 7415,1095;
PD;PA 7418,1093;
PA 7415,1090;
PA 7412,1093;
PA 7415,1095;
PA 7415,1090;
PU;PA 7533,1121;
PD;PA 7482,1044;
PU;PA 7553,1058;
PD;PA 7553,1118;
PU;PA 7625,1121;
PD;PA 7573,1044;
PU;PA 7656,1118;
PD;PA 7668,1118;
PA 7673,1115;
PA 7680,1109;
PA 7683,1098;
PA 7683,1078;
PA 7680,1066;
PA 7673,1061;
PA 7668,1058;
PA 7656,1058;
PA 7651,1061;
PA 7645,1066;
PA 7642,1078;
PA 7642,1098;
PA 7645,1109;
PA 7651,1115;
PA 7656,1118;
PU;PA 7754,1058;
PD;PA 7754,1118;
PA 7778,1118;
PA 7783,1115;
PA 7786,1112;
PA 7789,1107;
PA 7789,1098;
PA 7786,1093;
PA 7783,1090;
PA 7778,1087;
PA 7754,1087;
PU;PA 7814,1058;
PD;PA 7814,1098;
PU;PA 7814,1087;
PD;PA 7817,1093;
PA 7820,1095;
PA 7826,1098;
PA 7832,1098;
PU;PA 7860,1058;
PD;PA 7855,1061;
PA 7852,1063;
PA 7849,1069;
PA 7849,1087;
PA 7852,1093;
PA 7855,1095;
PA 7860,1098;
PA 7869,1098;
PA 7876,1095;
PA 7878,1093;
PA 7881,1087;
PA 7881,1069;
PA 7878,1063;
PA 7876,1061;
PA 7869,1058;
PA 7860,1058;
PU;PA 7932,1061;
PD;PA 7927,1058;
PA 7914,1058;
PA 7909,1061;
PA 7906,1063;
PA 7903,1069;
PA 7903,1087;
PA 7906,1093;
PA 7909,1095;
PA 7914,1098;
PA 7927,1098;
PA 7932,1095;
PU;PA 7982,1061;
PD;PA 7976,1058;
PA 7964,1058;
PA 7958,1061;
PA 7955,1066;
PA 7955,1090;
PA 7958,1095;
PA 7964,1098;
PA 7976,1098;
PA 7982,1095;
PA 7984,1090;
PA 7984,1084;
PA 7955,1078;
PU;PA 8007,1061;
PD;PA 8013,1058;
PA 8025,1058;
PA 8031,1061;
PA 8034,1066;
PA 8034,1069;
PA 8031,1076;
PA 8025,1078;
PA 8016,1078;
PA 8010,1081;
PA 8007,1087;
PA 8007,1090;
PA 8010,1095;
PA 8016,1098;
PA 8025,1098;
PA 8031,1095;
PU;PA 8056,1061;
PD;PA 8062,1058;
PA 8073,1058;
PA 8080,1061;
PA 8083,1066;
PA 8083,1069;
PA 8080,1076;
PA 8073,1078;
PA 8065,1078;
PA 8059,1081;
PA 8056,1087;
PA 8056,1090;
PA 8059,1095;
PA 8065,1098;
PA 8073,1098;
PA 8080,1095;
PU;PA 8108,1058;
PD;PA 8108,1098;
PU;PA 8108,1118;
PD;PA 8105,1115;
PA 8108,1112;
PA 8111,1115;
PA 8108,1118;
PA 8108,1112;
PU;PA 8137,1098;
PD;PA 8137,1058;
PU;PA 8137,1093;
PD;PA 8140,1095;
PA 8145,1098;
PA 8154,1098;
PA 8160,1095;
PA 8162,1090;
PA 8162,1058;
PU;PA 8216,1098;
PD;PA 8216,1049;
PA 8214,1044;
PA 8211,1041;
PA 8205,1038;
PA 8197,1038;
PA 8191,1041;
PU;PA 8216,1061;
PD;PA 8211,1058;
PA 8199,1058;
PA 8194,1061;
PA 8191,1063;
PA 8188,1069;
PA 8188,1087;
PA 8191,1093;
PA 8194,1095;
PA 8199,1098;
PA 8211,1098;
PA 8216,1095;
PU;PA 8288,1121;
PD;PA 8237,1044;
PU;PA 7914,743;
PD;PA 7914,622;
PU;PA 10486,743;
PD;PA 10486,482;
PU;PA 7806,6549;
EA 8520,7059;
PU;PA 7806,6804;
PD;PA 7704,6804;
PU;PA 7852,6832;
PD;PA 7868,6781;
PA 7886,6832;
PU;PA 7910,6781;
PD;PA 7905,6784;
PA 7903,6786;
PA 7901,6791;
PA 7901,6805;
PA 7903,6810;
PA 7905,6812;
PA 7910,6815;
PA 7917,6815;
PA 7922,6812;
PA 7925,6810;
PA 7928,6805;
PA 7928,6791;
PA 7925,6786;
PA 7922,6784;
PA 7917,6781;
PA 7910,6781;
PU;PA 7970,6815;
PD;PA 7970,6781;
PU;PA 7949,6815;
PD;PA 7949,6789;
PA 7951,6784;
PA 7956,6781;
PA 7963,6781;
PA 7968,6784;
PA 7970,6786;
PU;PA 7988,6815;
PD;PA 8007,6815;
PU;PA 7995,6832;
PD;PA 7995,6789;
PA 7997,6784;
PA 8002,6781;
PA 8007,6781;
PU;PA 7769,6816;
PD;PA 7741,6816;
PU;PA 7755,6816;
PD;PA 7755,6867;
PA 7750,6860;
PA 7745,6855;
PA 7741,6853;
PU;PA 8520,6804;
PD;PA 8622,6804;
PU;PA 8367,6786;
PD;PA 8365,6784;
PA 8358,6781;
PA 8353,6781;
PA 8346,6784;
PA 8341,6789;
PA 8339,6793;
PA 8337,6803;
PA 8337,6810;
PA 8339,6819;
PA 8341,6825;
PA 8346,6830;
PA 8353,6832;
PA 8358,6832;
PA 8365,6830;
PA 8367,6828;
PU;PA 8390,6781;
PD;PA 8390,6832;
PU;PA 8390,6808;
PD;PA 8418,6808;
PU;PA 8418,6781;
PD;PA 8418,6832;
PU;PA 8452,6832;
PD;PA 8457,6832;
PA 8462,6830;
PA 8464,6828;
PA 8467,6822;
PA 8469,6812;
PA 8469,6800;
PA 8467,6791;
PA 8464,6786;
PA 8462,6784;
PA 8457,6781;
PA 8452,6781;
PA 8448,6784;
PA 8445,6786;
PA 8443,6791;
PA 8441,6800;
PA 8441,6812;
PA 8443,6822;
PA 8445,6828;
PA 8448,6830;
PA 8452,6832;
PU;PA 8557,6863;
PD;PA 8559,6865;
PA 8564,6867;
PA 8577,6867;
PA 8581,6865;
PA 8584,6863;
PA 8586,6858;
PA 8586,6853;
PA 8584,6846;
PA 8554,6816;
PA 8586,6816;
PU;PA 8010,6549;
PD;PA 8010,6447;
PU;PA 7983,6595;
PD;PA 8034,6611;
PA 7983,6629;
PU;PA 8034,6646;
PD;PA 7999,6646;
PU;PA 8009,6646;
PD;PA 8004,6648;
PA 8002,6651;
PA 7999,6655;
PA 7999,6660;
PU;PA 8031,6697;
PD;PA 8034,6692;
PA 8034,6683;
PA 8031,6678;
PA 8026,6676;
PA 8006,6676;
PA 8002,6678;
PA 7999,6683;
PA 7999,6692;
PA 8002,6697;
PA 8006,6699;
PA 8011,6699;
PA 8016,6676;
PU;PA 7999,6714;
PD;PA 7999,6734;
PU;PA 8034,6721;
PD;PA 7990,6721;
PA 7985,6723;
PA 7983,6729;
PA 7983,6734;
PU;PA 7947,6481;
PD;PA 7947,6512;
PA 7966,6495;
PA 7966,6503;
PA 7968,6507;
PA 7970,6510;
PA 7976,6512;
PA 7988,6512;
PA 7993,6510;
PA 7995,6507;
PA 7998,6503;
PA 7998,6488;
PA 7995,6484;
PA 7993,6481;
PU;PA 8112,6549;
PD;PA 8112,6447;
PU;PA 8085,6595;
PD;PA 8136,6611;
PA 8085,6629;
PU;PA 8133,6644;
PD;PA 8136,6648;
PA 8136,6658;
PA 8133,6663;
PA 8128,6665;
PA 8126,6665;
PA 8120,6663;
PA 8118,6658;
PA 8118,6651;
PA 8116,6646;
PA 8111,6644;
PA 8108,6644;
PA 8104,6646;
PA 8101,6651;
PA 8101,6658;
PA 8104,6663;
PU;PA 8133,6685;
PD;PA 8136,6689;
PA 8136,6699;
PA 8133,6704;
PA 8128,6706;
PA 8126,6706;
PA 8120,6704;
PA 8118,6699;
PA 8118,6692;
PA 8116,6687;
PA 8111,6685;
PA 8108,6685;
PA 8104,6687;
PA 8101,6692;
PA 8101,6699;
PA 8104,6704;
PU;PA 8065,6507;
PD;PA 8100,6507;
PU;PA 8046,6495;
PD;PA 8083,6484;
PA 8083,6514;
PU;PA 8316,7059;
PD;PA 8316,7161;
PU;PA 8335,6959;
PD;PA 8337,6957;
PA 8340,6950;
PA 8340,6945;
PA 8337,6938;
PA 8332,6933;
PA 8328,6931;
PA 8317,6929;
PA 8310,6929;
PA 8301,6931;
PA 8296,6933;
PA 8291,6938;
PA 8289,6945;
PA 8289,6950;
PA 8291,6957;
PA 8293,6959;
PU;PA 8337,6980;
PD;PA 8340,6987;
PA 8340,6999;
PA 8337,7003;
PA 8335,7006;
PA 8330,7008;
PA 8325,7008;
PA 8320,7006;
PA 8317,7003;
PA 8315,6999;
PA 8312,6989;
PA 8310,6984;
PA 8308,6982;
PA 8303,6980;
PA 8298,6980;
PA 8293,6982;
PA 8291,6984;
PA 8289,6989;
PA 8289,7001;
PA 8291,7008;
PU;PA 8253,7122;
PD;PA 8253,7098;
PA 8277,7096;
PA 8275,7098;
PA 8272,7103;
PA 8272,7115;
PA 8275,7119;
PA 8277,7122;
PA 8282,7125;
PA 8294,7125;
PA 8299,7122;
PA 8301,7119;
PA 8304,7115;
PA 8304,7103;
PA 8301,7098;
PA 8299,7096;
PU;PA 8214,7059;
PD;PA 8214,7161;
PU;PA 8235,6904;
PD;PA 8238,6911;
PA 8238,6923;
PA 8235,6928;
PA 8233,6931;
PA 8228,6933;
PA 8222,6933;
PA 8218,6931;
PA 8215,6928;
PA 8213,6923;
PA 8210,6913;
PA 8208,6908;
PA 8206,6906;
PA 8201,6904;
PA 8196,6904;
PA 8191,6906;
PA 8189,6908;
PA 8187,6913;
PA 8187,6926;
PA 8189,6933;
PU;PA 8238,6955;
PD;PA 8187,6955;
PA 8187,6967;
PA 8189,6975;
PA 8194,6980;
PA 8199,6982;
PA 8208,6984;
PA 8215,6984;
PA 8226,6982;
PA 8230,6980;
PA 8235,6975;
PA 8238,6967;
PA 8238,6955;
PU;PA 8238,7006;
PD;PA 8187,7006;
PU;PA 8151,7119;
PD;PA 8151,7110;
PA 8153,7105;
PA 8155,7103;
PA 8163,7098;
PA 8172,7096;
PA 8192,7096;
PA 8197,7098;
PA 8199,7100;
PA 8202,7105;
PA 8202,7115;
PA 8199,7119;
PA 8197,7122;
PA 8192,7125;
PA 8180,7125;
PA 8175,7122;
PA 8172,7119;
PA 8170,7115;
PA 8170,7105;
PA 8172,7100;
PA 8175,7098;
PA 8180,7096;
PU;PA 8112,7059;
PD;PA 8112,7161;
PU;PA 8133,6878;
PD;PA 8136,6885;
PA 8136,6897;
PA 8133,6901;
PA 8131,6904;
PA 8126,6906;
PA 8120,6906;
PA 8116,6904;
PA 8113,6901;
PA 8111,6897;
PA 8108,6887;
PA 8106,6882;
PA 8104,6880;
PA 8099,6878;
PA 8094,6878;
PA 8089,6880;
PA 8087,6882;
PA 8085,6887;
PA 8085,6899;
PA 8087,6906;
PU;PA 8131,6957;
PD;PA 8133,6955;
PA 8136,6948;
PA 8136,6943;
PA 8133,6936;
PA 8128,6931;
PA 8123,6929;
PA 8113,6927;
PA 8106,6927;
PA 8097,6929;
PA 8092,6931;
PA 8087,6936;
PA 8085,6943;
PA 8085,6948;
PA 8087,6955;
PA 8089,6957;
PU;PA 8136,6980;
PD;PA 8085,6980;
PU;PA 8136,7008;
PD;PA 8106,6987;
PU;PA 8085,7008;
PD;PA 8113,6980;
PU;PA 8049,7093;
PD;PA 8049,7127;
PA 8100,7105;
PU;PA 8010,7059;
PD;PA 8010,7161;
PU;PA 7983,6888;
PD;PA 8034,6904;
PA 7983,6921;
PU;PA 8034,6960;
PD;PA 7983,6960;
PU;PA 8031,6960;
PD;PA 8034,6956;
PA 8034,6946;
PA 8031,6941;
PA 8029,6939;
PA 8023,6937;
PA 8009,6937;
PA 8004,6939;
PA 8002,6941;
PA 7999,6946;
PA 7999,6956;
PA 8002,6960;
PU;PA 8034,7006;
PD;PA 7983,7006;
PU;PA 8031,7006;
PD;PA 8034,7002;
PA 8034,6992;
PA 8031,6987;
PA 8029,6985;
PA 8023,6983;
PA 8009,6983;
PA 8004,6985;
PA 8002,6987;
PA 7999,6992;
PA 7999,7002;
PA 8002,7006;
PU;PA 7968,7105;
PD;PA 7966,7100;
PA 7963,7098;
PA 7959,7096;
PA 7956,7096;
PA 7951,7098;
PA 7949,7100;
PA 7947,7105;
PA 7947,7115;
PA 7949,7119;
PA 7951,7122;
PA 7956,7125;
PA 7959,7125;
PA 7963,7122;
PA 7966,7119;
PA 7968,7115;
PA 7968,7105;
PA 7970,7100;
PA 7973,7098;
PA 7979,7096;
PA 7988,7096;
PA 7993,7098;
PA 7995,7100;
PA 7998,7105;
PA 7998,7115;
PA 7995,7119;
PA 7993,7122;
PA 7988,7125;
PA 7979,7125;
PA 7973,7122;
PA 7970,7119;
PA 7968,7115;
PU;PA 8355,6529;
PD;PA 8355,6488;
PA 8357,6483;
PA 8360,6481;
PA 8364,6478;
PA 8375,6478;
PA 8380,6481;
PA 8382,6483;
PA 8384,6488;
PA 8384,6529;
PU;PA 8435,6478;
PD;PA 8406,6478;
PU;PA 8420,6478;
PD;PA 8420,6529;
PA 8415,6521;
PA 8410,6516;
PA 8406,6514;
PU;PA 8479,6512;
PD;PA 8479,6478;
PU;PA 8466,6532;
PD;PA 8455,6495;
PA 8486,6495;
PU;PA 8354,7141;
PD;PA 8345,7141;
PA 8340,7139;
PA 8338,7137;
PA 8333,7129;
PA 8331,7119;
PA 8331,7100;
PA 8333,7095;
PA 8335,7093;
PA 8340,7090;
PA 8350,7090;
PA 8354,7093;
PA 8357,7095;
PA 8359,7100;
PA 8359,7112;
PA 8357,7117;
PA 8354,7119;
PA 8350,7121;
PA 8340,7121;
PA 8335,7119;
PA 8333,7117;
PA 8331,7112;
PU;PA 8380,7093;
PD;PA 8387,7090;
PA 8399,7090;
PA 8403,7093;
PA 8406,7095;
PA 8408,7100;
PA 8408,7105;
PA 8406,7109;
PA 8403,7112;
PA 8399,7114;
PA 8389,7117;
PA 8384,7119;
PA 8382,7121;
PA 8380,7127;
PA 8380,7132;
PA 8382,7137;
PA 8384,7139;
PA 8389,7141;
PA 8401,7141;
PA 8408,7139;
PU;PA 8429,7137;
PD;PA 8431,7139;
PA 8436,7141;
PA 8448,7141;
PA 8452,7139;
PA 8455,7137;
PA 8457,7132;
PA 8457,7127;
PA 8455,7119;
PA 8426,7090;
PA 8457,7090;
PU;PA 8506,7090;
PD;PA 8478,7090;
PU;PA 8492,7090;
PD;PA 8492,7141;
PA 8487,7134;
PA 8482,7129;
PA 8478,7127;
PU;PA 8096,7298;
PD;PA 8099,7307;
PA 8099,7321;
PA 8096,7328;
PA 8093,7331;
PA 8088,7334;
PA 8082,7334;
PA 8076,7331;
PA 8072,7328;
PA 8070,7321;
PA 8067,7310;
PA 8064,7304;
PA 8061,7301;
PA 8055,7298;
PA 8050,7298;
PA 8044,7301;
PA 8041,7304;
PA 8038,7310;
PA 8038,7325;
PA 8041,7334;
PU;PA 8093,7395;
PD;PA 8096,7392;
PA 8099,7383;
PA 8099,7377;
PA 8096,7368;
PA 8091,7362;
PA 8085,7359;
PA 8072,7356;
PA 8064,7356;
PA 8052,7359;
PA 8047,7362;
PA 8041,7368;
PA 8038,7377;
PA 8038,7383;
PA 8041,7392;
PA 8044,7395;
PU;PA 8099,7420;
PD;PA 8038,7420;
PU;PA 8099,7456;
PD;PA 8064,7430;
PU;PA 8038,7456;
PD;PA 8072,7420;
PU;PA 8198,7295;
PD;PA 8201,7304;
PA 8201,7318;
PA 8198,7325;
PA 8195,7328;
PA 8190,7331;
PA 8184,7331;
PA 8178,7328;
PA 8175,7325;
PA 8172,7318;
PA 8169,7307;
PA 8166,7301;
PA 8163,7298;
PA 8157,7295;
PA 8152,7295;
PA 8146,7298;
PA 8143,7301;
PA 8140,7307;
PA 8140,7321;
PA 8143,7331;
PU;PA 8201,7356;
PD;PA 8140,7356;
PA 8140,7371;
PA 8143,7380;
PA 8149,7386;
PA 8154,7389;
PA 8166,7392;
PA 8175,7392;
PA 8187,7389;
PA 8193,7386;
PA 8198,7380;
PA 8201,7371;
PA 8201,7356;
PU;PA 8140,7430;
PD;PA 8140,7441;
PA 8143,7447;
PA 8149,7453;
PA 8160,7455;
PA 8181,7455;
PA 8193,7453;
PA 8198,7447;
PA 8201,7441;
PA 8201,7430;
PA 8198,7423;
PA 8193,7417;
PA 8181,7414;
PA 8160,7414;
PA 8149,7417;
PA 8143,7423;
PA 8140,7430;
PU;PA 8338,7248;
PD;PA 8341,7245;
PA 8344,7236;
PA 8344,7230;
PA 8341,7221;
PA 8336,7215;
PA 8330,7212;
PA 8317,7209;
PA 8309,7209;
PA 8297,7212;
PA 8292,7215;
PA 8286,7221;
PA 8283,7230;
PA 8283,7236;
PA 8286,7245;
PA 8289,7248;
PU;PA 8341,7270;
PD;PA 8344,7280;
PA 8344,7294;
PA 8341,7300;
PA 8338,7303;
PA 8333,7306;
PA 8327,7306;
PA 8320,7303;
PA 8317,7300;
PA 8315,7294;
PA 8312,7283;
PA 8309,7277;
PA 8306,7273;
PA 8300,7270;
PA 8295,7270;
PA 8289,7273;
PA 8286,7277;
PA 8283,7283;
PA 8283,7297;
PA 8286,7306;
PU;PA 8338,7332;
PD;PA 8341,7335;
PA 8344,7332;
PA 8341,7329;
PA 8338,7332;
PA 8344,7332;
PU;PA 8327,7358;
PD;PA 8327,7388;
PU;PA 8344,7353;
PD;PA 8283,7373;
PA 8344,7394;
PU;PA 8344,7446;
PD;PA 8344,7410;
PU;PA 8344,7429;
PD;PA 8283,7429;
PA 8292,7422;
PA 8297,7416;
PA 8300,7410;
PU;PA 8316,7161;
PD;PA 8371,7192;
PA 8371,7481;
PA 8316,7481;
PA 8261,7481;
PA 8261,7192;
PA 8316,7161;
PU;PA 7567,6808;
PD;PA 7575,6806;
PA 7577,6803;
PA 7579,6799;
PA 7579,6792;
PA 7577,6788;
PA 7575,6785;
PA 7569,6783;
PA 7551,6783;
PA 7551,6831;
PA 7567,6831;
PA 7571,6829;
PA 7575,6827;
PA 7577,6821;
PA 7577,6817;
PA 7575,6812;
PA 7571,6810;
PA 7567,6808;
PA 7551,6808;
PU;PA 7597,6797;
PD;PA 7619,6797;
PU;PA 7592,6783;
PD;PA 7608,6831;
PA 7625,6783;
PU;PA 7665,6783;
PD;PA 7638,6783;
PU;PA 7651,6783;
PD;PA 7651,6831;
PA 7647,6825;
PA 7642,6819;
PA 7638,6817;
PU;PA 7704,6804;
PD;PA 7681,6847;
PA 7516,6847;
PA 7516,6804;
PA 7516,6761;
PA 7681,6761;
PA 7704,6804;
PU;PA 8061,6447;
PD;PA 8112,6396;
PA 8163,6447;
PA 8061,6447;
PU;PA 8684,7212;
EA 8765,6906;
PU;PA 8725,7212;
PD;PA 8725,7314;
PU;PA 8725,6906;
PD;PA 8725,6804;
PU;PA 8821,7033;
PD;PA 8802,7019;
PU;PA 8821,7010;
PD;PA 8781,7010;
PA 8781,7026;
PA 8783,7030;
PA 8785,7031;
PA 8789,7033;
PA 8794,7033;
PA 8798,7031;
PA 8800,7030;
PA 8802,7026;
PA 8802,7010;
PU;PA 8781,7047;
PD;PA 8781,7071;
PA 8796,7058;
PA 8796,7064;
PA 8798,7068;
PA 8800,7070;
PA 8804,7071;
PA 8813,7071;
PA 8817,7070;
PA 8819,7068;
PA 8821,7064;
PA 8821,7052;
PA 8819,7049;
PA 8817,7047;
PU;PA 8794,7107;
PD;PA 8821,7107;
PU;PA 8779,7097;
PD;PA 8808,7088;
PA 8808,7112;
PU;PA 8747,7032;
PD;PA 8747,7009;
PU;PA 8747,7020;
PD;PA 8706,7020;
PA 8712,7016;
PA 8716,7012;
PA 8718,7009;
PU;PA 8706,7057;
PD;PA 8706,7061;
PA 8708,7065;
PA 8710,7067;
PA 8714,7069;
PA 8721,7070;
PA 8732,7070;
PA 8739,7069;
PA 8743,7067;
PA 8745,7065;
PA 8747,7061;
PA 8747,7057;
PA 8745,7053;
PA 8743,7051;
PA 8739,7050;
PA 8732,7048;
PA 8721,7048;
PA 8714,7050;
PA 8710,7051;
PA 8708,7053;
PA 8706,7057;
PU;PA 8747,7089;
PD;PA 8706,7089;
PU;PA 8747,7111;
PD;PA 8723,7094;
PU;PA 8706,7111;
PD;PA 8730,7089;
PU;PA 9388,6845;
EA 9082,6763;
PU;PA 9388,6804;
PD;PA 9490,6804;
PU;PA 9082,6804;
PD;PA 8980,6804;
PU;PA 9208,6707;
PD;PA 9195,6727;
PU;PA 9186,6707;
PD;PA 9186,6748;
PA 9201,6748;
PA 9205,6746;
PA 9206,6744;
PA 9208,6740;
PA 9208,6735;
PA 9206,6731;
PA 9205,6729;
PA 9201,6727;
PA 9186,6727;
PU;PA 9222,6748;
PD;PA 9247,6748;
PA 9234,6733;
PA 9240,6733;
PA 9244,6731;
PA 9246,6729;
PA 9247,6725;
PA 9247,6715;
PA 9246,6711;
PA 9244,6709;
PA 9240,6707;
PA 9228,6707;
PA 9225,6709;
PA 9222,6711;
PU;PA 9270,6731;
PD;PA 9266,6733;
PA 9265,6735;
PA 9263,6738;
PA 9263,6740;
PA 9265,6744;
PA 9266,6746;
PA 9270,6748;
PA 9279,6748;
PA 9283,6746;
PA 9285,6744;
PA 9286,6740;
PA 9286,6738;
PA 9285,6735;
PA 9283,6733;
PA 9279,6731;
PA 9270,6731;
PA 9266,6729;
PA 9265,6727;
PA 9263,6722;
PA 9263,6715;
PA 9265,6711;
PA 9266,6709;
PA 9270,6707;
PA 9279,6707;
PA 9283,6709;
PA 9285,6711;
PA 9286,6715;
PA 9286,6722;
PA 9285,6727;
PA 9283,6729;
PA 9279,6731;
PU;PA 9207,6782;
PD;PA 9185,6782;
PU;PA 9196,6782;
PD;PA 9196,6822;
PA 9192,6816;
PA 9188,6812;
PA 9185,6810;
PU;PA 9233,6822;
PD;PA 9237,6822;
PA 9241,6820;
PA 9243,6818;
PA 9245,6814;
PA 9246,6807;
PA 9246,6797;
PA 9245,6790;
PA 9243,6786;
PA 9241,6784;
PA 9237,6782;
PA 9233,6782;
PA 9229,6784;
PA 9227,6786;
PA 9226,6790;
PA 9223,6797;
PA 9223,6807;
PA 9226,6814;
PA 9227,6818;
PA 9229,6820;
PA 9233,6822;
PU;PA 9264,6782;
PD;PA 9264,6822;
PU;PA 9287,6782;
PD;PA 9269,6805;
PU;PA 9287,6822;
PD;PA 9264,6799;
PU;PA 10204,6600;
PD;PA 9796,6804;
PA 10204,7008;
PA 10204,6600;
PU;PA 10102,6651;
PD;PA 10102,6396;
PU;PA 10080,6676;
PD;PA 10120,6689;
PA 10080,6702;
PU;PA 10105,6716;
PD;PA 10105,6747;
PU;PA 10120,6732;
PD;PA 10090,6732;
PU;PA 10062,6532;
PD;PA 10090,6532;
PU;PA 10047,6521;
PD;PA 10077,6512;
PA 10077,6537;
PU;PA 10102,6957;
PD;PA 10102,7212;
PU;PA 10080,6855;
PD;PA 10120,6868;
PA 10080,6882;
PU;PA 10105,6896;
PD;PA 10105,6927;
PU;PA 10090,7077;
PD;PA 10090,7054;
PU;PA 10090,7065;
PD;PA 10049,7065;
PA 10055,7061;
PA 10059,7057;
PA 10061,7054;
PU;PA 10090,7115;
PD;PA 10090,7093;
PU;PA 10090,7104;
PD;PA 10049,7104;
PA 10055,7100;
PA 10059,7096;
PA 10061,7093;
PU;PA 10204,6702;
PD;PA 10510,6702;
PU;PA 10143,6699;
PD;PA 10173,6699;
PU;PA 10158,6684;
PD;PA 10158,6714;
PU;PA 10349,6714;
PD;PA 10327,6714;
PU;PA 10338,6714;
PD;PA 10338,6755;
PA 10334,6749;
PA 10330,6745;
PA 10327,6743;
PU;PA 10365,6751;
PD;PA 10367,6753;
PA 10370,6755;
PA 10381,6755;
PA 10385,6753;
PA 10387,6751;
PA 10388,6747;
PA 10388,6743;
PA 10387,6738;
PA 10363,6714;
PA 10388,6714;
PU;PA 10204,6906;
PD;PA 10510,6906;
PU;PA 10143,6903;
PD;PA 10173,6903;
PU;PA 10349,6918;
PD;PA 10327,6918;
PU;PA 10338,6918;
PD;PA 10338,6959;
PA 10334,6953;
PA 10330,6949;
PA 10327,6947;
PU;PA 10363,6959;
PD;PA 10388,6959;
PA 10375,6944;
PA 10381,6944;
PA 10385,6942;
PA 10387,6940;
PA 10388,6936;
PA 10388,6927;
PA 10387,6922;
PA 10385,6920;
PA 10381,6918;
PA 10368,6918;
PA 10365,6920;
PA 10363,6922;
PU;PA 9796,6804;
PD;PA 9490,6804;
PU;PA 9635,6816;
PD;PA 9612,6816;
PU;PA 9623,6816;
PD;PA 9623,6857;
PA 9619,6851;
PA 9615,6847;
PA 9612,6845;
PU;PA 9670,6844;
PD;PA 9670,6816;
PU;PA 9660,6859;
PD;PA 9651,6830;
PA 9676,6830;
PU;PA 9842,6631;
PD;PA 9842,6581;
PA 9845,6576;
PA 9848,6572;
PA 9854,6569;
PA 9865,6569;
PA 9871,6572;
PA 9875,6576;
PA 9878,6581;
PA 9878,6631;
PU;PA 9939,6569;
PD;PA 9903,6569;
PU;PA 9921,6569;
PD;PA 9921,6631;
PA 9915,6621;
PA 9909,6616;
PA 9903,6613;
PU;PA 9973,6604;
PD;PA 9967,6607;
PA 9964,6610;
PA 9961,6616;
PA 9961,6618;
PA 9964,6625;
PA 9967,6628;
PA 9973,6631;
PA 9985,6631;
PA 9991,6628;
PA 9994,6625;
PA 9997,6618;
PA 9997,6616;
PA 9994,6610;
PA 9991,6607;
PA 9985,6604;
PA 9973,6604;
PA 9967,6601;
PA 9964,6598;
PA 9961,6593;
PA 9961,6581;
PA 9964,6576;
PA 9967,6572;
PA 9973,6569;
PA 9985,6569;
PA 9991,6572;
PA 9994,6576;
PA 9997,6581;
PA 9997,6593;
PA 9994,6598;
PA 9991,6601;
PA 9985,6604;
PU;PA 10022,6569;
PD;PA 10022,6631;
PA 10038,6631;
PA 10046,6628;
PA 10052,6621;
PA 10055,6616;
PA 10058,6604;
PA 10058,6596;
PA 10055,6584;
PA 10052,6578;
PA 10046,6572;
PA 10038,6569;
PA 10022,6569;
PU;PA 9739,7033;
PD;PA 9767,7033;
PU;PA 9753,6982;
PD;PA 9753,7033;
PU;PA 9809,6982;
PD;PA 9785,6982;
PA 9785,7033;
PU;PA 9835,7033;
PD;PA 9840,7033;
PA 9845,7031;
PA 9847,7029;
PA 9850,7023;
PA 9852,7013;
PA 9852,7001;
PA 9850,6992;
PA 9847,6987;
PA 9845,6985;
PA 9840,6982;
PA 9835,6982;
PA 9831,6985;
PA 9828,6987;
PA 9826,6992;
PA 9823,7001;
PA 9823,7013;
PA 9826,7023;
PA 9828,7029;
PA 9831,7031;
PA 9835,7033;
PU;PA 9882,7011;
PD;PA 9877,7013;
PA 9875,7016;
PA 9872,7020;
PA 9872,7023;
PA 9875,7029;
PA 9877,7031;
PA 9882,7033;
PA 9892,7033;
PA 9896,7031;
PA 9899,7029;
PA 9901,7023;
PA 9901,7020;
PA 9899,7016;
PA 9896,7013;
PA 9892,7011;
PA 9882,7011;
PA 9877,7009;
PA 9875,7006;
PA 9872,7001;
PA 9872,6992;
PA 9875,6987;
PA 9877,6985;
PA 9882,6982;
PA 9892,6982;
PA 9896,6985;
PA 9899,6987;
PA 9901,6992;
PA 9901,7001;
PA 9899,7006;
PA 9896,7009;
PA 9892,7011;
PU;PA 9945,7016;
PD;PA 9945,6982;
PU;PA 9933,7036;
PD;PA 9921,6999;
PA 9952,6999;
PU;PA 10918,6743;
EA 10612,6661;
PU;PA 10918,6702;
PD;PA 11020,6702;
PU;PA 10612,6702;
PD;PA 10510,6702;
PU;PA 10739,6605;
PD;PA 10726,6625;
PU;PA 10716,6605;
PD;PA 10716,6646;
PA 10732,6646;
PA 10736,6644;
PA 10737,6642;
PA 10739,6638;
PA 10739,6633;
PA 10737,6629;
PA 10736,6627;
PA 10732,6625;
PA 10716,6625;
PU;PA 10775,6633;
PD;PA 10775,6605;
PU;PA 10764,6648;
PD;PA 10755,6618;
PA 10780,6618;
PU;PA 10794,6642;
PD;PA 10796,6644;
PA 10799,6646;
PA 10809,6646;
PA 10813,6644;
PA 10815,6642;
PA 10816,6638;
PA 10816,6634;
PA 10815,6629;
PA 10792,6605;
PA 10816,6605;
PU;PA 10732,6707;
PD;PA 10732,6680;
PU;PA 10721,6722;
PD;PA 10712,6693;
PA 10737,6693;
PU;PA 10753,6680;
PD;PA 10753,6720;
PA 10766,6691;
PA 10780,6720;
PA 10780,6680;
PU;PA 10796,6720;
PD;PA 10822,6720;
PA 10805,6680;
PU;PA 10918,6539;
EA 10612,6457;
PU;PA 10918,6498;
PD;PA 11020,6498;
PU;PA 10612,6498;
PD;PA 10510,6498;
PU;PA 10739,6401;
PD;PA 10726,6420;
PU;PA 10716,6401;
PD;PA 10716,6442;
PA 10732,6442;
PA 10736,6440;
PA 10737,6438;
PA 10739,6434;
PA 10739,6429;
PA 10737,6425;
PA 10736,6422;
PA 10732,6420;
PA 10716,6420;
PU;PA 10775,6429;
PD;PA 10775,6401;
PU;PA 10764,6444;
PD;PA 10755,6414;
PA 10780,6414;
PU;PA 10792,6442;
PD;PA 10816,6442;
PA 10803,6427;
PA 10809,6427;
PA 10813,6425;
PA 10815,6422;
PA 10816,6418;
PA 10816,6409;
PA 10815,6405;
PA 10813,6403;
PA 10809,6401;
PA 10797,6401;
PA 10794,6403;
PA 10792,6405;
PU;PA 10754,6476;
PD;PA 10732,6476;
PU;PA 10743,6476;
PD;PA 10743,6516;
PA 10739,6510;
PA 10735,6506;
PA 10732,6504;
PU;PA 10772,6476;
PD;PA 10772,6516;
PA 10786,6487;
PA 10799,6516;
PA 10799,6476;
PU;PA 11020,6447;
PD;PA 11071,6498;
PA 11020,6549;
PA 11020,6447;
PU;PA 11068,6692;
PD;PA 11098,6692;
PU;PA 11063,6675;
PD;PA 11084,6736;
PA 11104,6675;
PU;PA 11156,6675;
PD;PA 11120,6675;
PU;PA 11139,6675;
PD;PA 11139,6736;
PA 11133,6727;
PA 11127,6721;
PA 11120,6718;
PU;PA 11020,6702;
PD;PA 11051,6647;
PA 11191,6647;
PA 11191,6702;
PA 11191,6757;
PA 11051,6757;
PA 11020,6702;
PU;PA 7806,5376;
EA 8520,5886;
PU;PA 7806,5631;
PD;PA 7704,5631;
PU;PA 7852,5658;
PD;PA 7868,5607;
PA 7886,5658;
PU;PA 7910,5607;
PD;PA 7905,5610;
PA 7903,5612;
PA 7901,5617;
PA 7901,5632;
PA 7903,5637;
PA 7905,5639;
PA 7910,5642;
PA 7917,5642;
PA 7922,5639;
PA 7925,5637;
PA 7928,5632;
PA 7928,5617;
PA 7925,5612;
PA 7922,5610;
PA 7917,5607;
PA 7910,5607;
PU;PA 7970,5642;
PD;PA 7970,5607;
PU;PA 7949,5642;
PD;PA 7949,5615;
PA 7951,5610;
PA 7956,5607;
PA 7963,5607;
PA 7968,5610;
PA 7970,5612;
PU;PA 7988,5642;
PD;PA 8007,5642;
PU;PA 7995,5658;
PD;PA 7995,5615;
PA 7997,5610;
PA 8002,5607;
PA 8007,5607;
PU;PA 7769,5643;
PD;PA 7741,5643;
PU;PA 7755,5643;
PD;PA 7755,5694;
PA 7750,5687;
PA 7745,5682;
PA 7741,5680;
PU;PA 8520,5631;
PD;PA 8622,5631;
PU;PA 8367,5612;
PD;PA 8365,5610;
PA 8358,5607;
PA 8353,5607;
PA 8346,5610;
PA 8341,5615;
PA 8339,5619;
PA 8337,5630;
PA 8337,5637;
PA 8339,5646;
PA 8341,5651;
PA 8346,5656;
PA 8353,5658;
PA 8358,5658;
PA 8365,5656;
PA 8367,5654;
PU;PA 8390,5607;
PD;PA 8390,5658;
PU;PA 8390,5635;
PD;PA 8418,5635;
PU;PA 8418,5607;
PD;PA 8418,5658;
PU;PA 8452,5658;
PD;PA 8457,5658;
PA 8462,5656;
PA 8464,5654;
PA 8467,5649;
PA 8469,5639;
PA 8469,5627;
PA 8467,5617;
PA 8464,5612;
PA 8462,5610;
PA 8457,5607;
PA 8452,5607;
PA 8448,5610;
PA 8445,5612;
PA 8443,5617;
PA 8441,5627;
PA 8441,5639;
PA 8443,5649;
PA 8445,5654;
PA 8448,5656;
PA 8452,5658;
PU;PA 8557,5690;
PD;PA 8559,5692;
PA 8564,5694;
PA 8577,5694;
PA 8581,5692;
PA 8584,5690;
PA 8586,5685;
PA 8586,5680;
PA 8584,5672;
PA 8554,5643;
PA 8586,5643;
PU;PA 8010,5376;
PD;PA 8010,5273;
PU;PA 7983,5421;
PD;PA 8034,5438;
PA 7983,5455;
PU;PA 8034,5472;
PD;PA 7999,5472;
PU;PA 8009,5472;
PD;PA 8004,5474;
PA 8002,5478;
PA 7999,5482;
PA 7999,5487;
PU;PA 8031,5523;
PD;PA 8034,5518;
PA 8034,5509;
PA 8031,5504;
PA 8026,5502;
PA 8006,5502;
PA 8002,5504;
PA 7999,5509;
PA 7999,5518;
PA 8002,5523;
PA 8006,5526;
PA 8011,5526;
PA 8016,5502;
PU;PA 7999,5541;
PD;PA 7999,5560;
PU;PA 8034,5548;
PD;PA 7990,5548;
PA 7985,5550;
PA 7983,5555;
PA 7983,5560;
PU;PA 7947,5307;
PD;PA 7947,5339;
PA 7966,5321;
PA 7966,5330;
PA 7968,5334;
PA 7970,5337;
PA 7976,5339;
PA 7988,5339;
PA 7993,5337;
PA 7995,5334;
PA 7998,5330;
PA 7998,5314;
PA 7995,5310;
PA 7993,5307;
PU;PA 8112,5376;
PD;PA 8112,5273;
PU;PA 8085,5421;
PD;PA 8136,5438;
PA 8085,5455;
PU;PA 8133,5470;
PD;PA 8136,5474;
PA 8136,5485;
PA 8133,5490;
PA 8128,5492;
PA 8126,5492;
PA 8120,5490;
PA 8118,5485;
PA 8118,5478;
PA 8116,5472;
PA 8111,5470;
PA 8108,5470;
PA 8104,5472;
PA 8101,5478;
PA 8101,5485;
PA 8104,5490;
PU;PA 8133,5511;
PD;PA 8136,5515;
PA 8136,5526;
PA 8133,5531;
PA 8128,5533;
PA 8126,5533;
PA 8120,5531;
PA 8118,5526;
PA 8118,5518;
PA 8116,5513;
PA 8111,5511;
PA 8108,5511;
PA 8104,5513;
PA 8101,5518;
PA 8101,5526;
PA 8104,5531;
PU;PA 8065,5334;
PD;PA 8100,5334;
PU;PA 8046,5321;
PD;PA 8083,5310;
PA 8083,5341;
PU;PA 8316,5886;
PD;PA 8316,5988;
PU;PA 8335,5786;
PD;PA 8337,5784;
PA 8340,5777;
PA 8340,5771;
PA 8337,5764;
PA 8332,5759;
PA 8328,5757;
PA 8317,5755;
PA 8310,5755;
PA 8301,5757;
PA 8296,5759;
PA 8291,5764;
PA 8289,5771;
PA 8289,5777;
PA 8291,5784;
PA 8293,5786;
PU;PA 8337,5806;
PD;PA 8340,5813;
PA 8340,5826;
PA 8337,5830;
PA 8335,5833;
PA 8330,5835;
PA 8325,5835;
PA 8320,5833;
PA 8317,5830;
PA 8315,5826;
PA 8312,5815;
PA 8310,5810;
PA 8308,5808;
PA 8303,5806;
PA 8298,5806;
PA 8293,5808;
PA 8291,5810;
PA 8289,5815;
PA 8289,5828;
PA 8291,5835;
PU;PA 8253,5949;
PD;PA 8253,5925;
PA 8277,5922;
PA 8275,5925;
PA 8272,5930;
PA 8272,5942;
PA 8275,5946;
PA 8277,5949;
PA 8282,5951;
PA 8294,5951;
PA 8299,5949;
PA 8301,5946;
PA 8304,5942;
PA 8304,5930;
PA 8301,5925;
PA 8299,5922;
PU;PA 8214,5886;
PD;PA 8214,5988;
PU;PA 8235,5731;
PD;PA 8238,5738;
PA 8238,5750;
PA 8235,5754;
PA 8233,5757;
PA 8228,5759;
PA 8222,5759;
PA 8218,5757;
PA 8215,5754;
PA 8213,5750;
PA 8210,5740;
PA 8208,5735;
PA 8206,5733;
PA 8201,5731;
PA 8196,5731;
PA 8191,5733;
PA 8189,5735;
PA 8187,5740;
PA 8187,5752;
PA 8189,5759;
PU;PA 8238,5782;
PD;PA 8187,5782;
PA 8187,5794;
PA 8189,5801;
PA 8194,5806;
PA 8199,5808;
PA 8208,5810;
PA 8215,5810;
PA 8226,5808;
PA 8230,5806;
PA 8235,5801;
PA 8238,5794;
PA 8238,5782;
PU;PA 8238,5833;
PD;PA 8187,5833;
PU;PA 8151,5946;
PD;PA 8151,5937;
PA 8153,5932;
PA 8155,5930;
PA 8163,5925;
PA 8172,5922;
PA 8192,5922;
PA 8197,5925;
PA 8199,5927;
PA 8202,5932;
PA 8202,5942;
PA 8199,5946;
PA 8197,5949;
PA 8192,5951;
PA 8180,5951;
PA 8175,5949;
PA 8172,5946;
PA 8170,5942;
PA 8170,5932;
PA 8172,5927;
PA 8175,5925;
PA 8180,5922;
PU;PA 8112,5886;
PD;PA 8112,5988;
PU;PA 8133,5704;
PD;PA 8136,5711;
PA 8136,5723;
PA 8133,5728;
PA 8131,5731;
PA 8126,5733;
PA 8120,5733;
PA 8116,5731;
PA 8113,5728;
PA 8111,5723;
PA 8108,5713;
PA 8106,5708;
PA 8104,5706;
PA 8099,5704;
PA 8094,5704;
PA 8089,5706;
PA 8087,5708;
PA 8085,5713;
PA 8085,5726;
PA 8087,5733;
PU;PA 8131,5784;
PD;PA 8133,5782;
PA 8136,5775;
PA 8136,5769;
PA 8133,5762;
PA 8128,5757;
PA 8123,5755;
PA 8113,5753;
PA 8106,5753;
PA 8097,5755;
PA 8092,5757;
PA 8087,5762;
PA 8085,5769;
PA 8085,5775;
PA 8087,5782;
PA 8089,5784;
PU;PA 8136,5806;
PD;PA 8085,5806;
PU;PA 8136,5835;
PD;PA 8106,5813;
PU;PA 8085,5835;
PD;PA 8113,5806;
PU;PA 8049,5919;
PD;PA 8049,5953;
PA 8100,5932;
PU;PA 8010,5886;
PD;PA 8010,5988;
PU;PA 7983,5714;
PD;PA 8034,5731;
PA 7983,5748;
PU;PA 8034,5787;
PD;PA 7983,5787;
PU;PA 8031,5787;
PD;PA 8034,5783;
PA 8034,5772;
PA 8031,5767;
PA 8029,5765;
PA 8023,5763;
PA 8009,5763;
PA 8004,5765;
PA 8002,5767;
PA 7999,5772;
PA 7999,5783;
PA 8002,5787;
PU;PA 8034,5833;
PD;PA 7983,5833;
PU;PA 8031,5833;
PD;PA 8034,5829;
PA 8034,5818;
PA 8031,5813;
PA 8029,5811;
PA 8023,5809;
PA 8009,5809;
PA 8004,5811;
PA 8002,5813;
PA 7999,5818;
PA 7999,5829;
PA 8002,5833;
PU;PA 7968,5932;
PD;PA 7966,5927;
PA 7963,5925;
PA 7959,5922;
PA 7956,5922;
PA 7951,5925;
PA 7949,5927;
PA 7947,5932;
PA 7947,5942;
PA 7949,5946;
PA 7951,5949;
PA 7956,5951;
PA 7959,5951;
PA 7963,5949;
PA 7966,5946;
PA 7968,5942;
PA 7968,5932;
PA 7970,5927;
PA 7973,5925;
PA 7979,5922;
PA 7988,5922;
PA 7993,5925;
PA 7995,5927;
PA 7998,5932;
PA 7998,5942;
PA 7995,5946;
PA 7993,5949;
PA 7988,5951;
PA 7979,5951;
PA 7973,5949;
PA 7970,5946;
PA 7968,5942;
PU;PA 8355,5355;
PD;PA 8355,5314;
PA 8357,5309;
PA 8360,5307;
PA 8364,5304;
PA 8375,5304;
PA 8380,5307;
PA 8382,5309;
PA 8384,5314;
PA 8384,5355;
PU;PA 8435,5304;
PD;PA 8406,5304;
PU;PA 8420,5304;
PD;PA 8420,5355;
PA 8415,5348;
PA 8410,5343;
PA 8406,5341;
PU;PA 8482,5355;
PD;PA 8457,5355;
PA 8455,5332;
PA 8457,5334;
PA 8462,5336;
PA 8475,5336;
PA 8479,5334;
PA 8482,5332;
PA 8484,5327;
PA 8484,5314;
PA 8482,5309;
PA 8479,5307;
PA 8475,5304;
PA 8462,5304;
PA 8457,5307;
PA 8455,5309;
PU;PA 8354,5967;
PD;PA 8345,5967;
PA 8340,5965;
PA 8338,5963;
PA 8333,5955;
PA 8331,5946;
PA 8331,5927;
PA 8333,5921;
PA 8335,5919;
PA 8340,5916;
PA 8350,5916;
PA 8354,5919;
PA 8357,5921;
PA 8359,5927;
PA 8359,5939;
PA 8357,5944;
PA 8354,5946;
PA 8350,5948;
PA 8340,5948;
PA 8335,5946;
PA 8333,5944;
PA 8331,5939;
PU;PA 8380,5919;
PD;PA 8387,5916;
PA 8399,5916;
PA 8403,5919;
PA 8406,5921;
PA 8408,5927;
PA 8408,5932;
PA 8406,5936;
PA 8403,5939;
PA 8399,5941;
PA 8389,5944;
PA 8384,5946;
PA 8382,5948;
PA 8380,5953;
PA 8380,5958;
PA 8382,5963;
PA 8384,5965;
PA 8389,5967;
PA 8401,5967;
PA 8408,5965;
PU;PA 8429,5963;
PD;PA 8431,5965;
PA 8436,5967;
PA 8448,5967;
PA 8452,5965;
PA 8455,5963;
PA 8457,5958;
PA 8457,5953;
PA 8455,5946;
PA 8426,5916;
PA 8457,5916;
PU;PA 8506,5916;
PD;PA 8478,5916;
PU;PA 8492,5916;
PD;PA 8492,5967;
PA 8487,5960;
PA 8482,5955;
PA 8478,5953;
PU;PA 8096,6125;
PD;PA 8099,6134;
PA 8099,6148;
PA 8096,6154;
PA 8093,6157;
PA 8088,6160;
PA 8082,6160;
PA 8076,6157;
PA 8072,6154;
PA 8070,6148;
PA 8067,6137;
PA 8064,6131;
PA 8061,6128;
PA 8055,6125;
PA 8050,6125;
PA 8044,6128;
PA 8041,6131;
PA 8038,6137;
PA 8038,6151;
PA 8041,6160;
PU;PA 8093,6221;
PD;PA 8096,6218;
PA 8099,6209;
PA 8099,6203;
PA 8096,6195;
PA 8091,6189;
PA 8085,6186;
PA 8072,6183;
PA 8064,6183;
PA 8052,6186;
PA 8047,6189;
PA 8041,6195;
PA 8038,6203;
PA 8038,6209;
PA 8041,6218;
PA 8044,6221;
PU;PA 8099,6247;
PD;PA 8038,6247;
PU;PA 8099,6283;
PD;PA 8064,6256;
PU;PA 8038,6283;
PD;PA 8072,6247;
PU;PA 8198,6121;
PD;PA 8201,6131;
PA 8201,6145;
PA 8198,6151;
PA 8195,6154;
PA 8190,6157;
PA 8184,6157;
PA 8178,6154;
PA 8175,6151;
PA 8172,6145;
PA 8169,6134;
PA 8166,6128;
PA 8163,6125;
PA 8157,6121;
PA 8152,6121;
PA 8146,6125;
PA 8143,6128;
PA 8140,6134;
PA 8140,6148;
PA 8143,6157;
PU;PA 8201,6183;
PD;PA 8140,6183;
PA 8140,6198;
PA 8143,6206;
PA 8149,6212;
PA 8154,6215;
PA 8166,6218;
PA 8175,6218;
PA 8187,6215;
PA 8193,6212;
PA 8198,6206;
PA 8201,6198;
PA 8201,6183;
PU;PA 8140,6256;
PD;PA 8140,6267;
PA 8143,6273;
PA 8149,6280;
PA 8160,6282;
PA 8181,6282;
PA 8193,6280;
PA 8198,6273;
PA 8201,6267;
PA 8201,6256;
PA 8198,6250;
PA 8193,6244;
PA 8181,6241;
PA 8160,6241;
PA 8149,6244;
PA 8143,6250;
PA 8140,6256;
PU;PA 8338,6075;
PD;PA 8341,6071;
PA 8344,6062;
PA 8344,6056;
PA 8341,6048;
PA 8336,6042;
PA 8330,6039;
PA 8317,6036;
PA 8309,6036;
PA 8297,6039;
PA 8292,6042;
PA 8286,6048;
PA 8283,6056;
PA 8283,6062;
PA 8286,6071;
PA 8289,6075;
PU;PA 8341,6097;
PD;PA 8344,6106;
PA 8344,6120;
PA 8341,6127;
PA 8338,6130;
PA 8333,6133;
PA 8327,6133;
PA 8320,6130;
PA 8317,6127;
PA 8315,6120;
PA 8312,6109;
PA 8309,6103;
PA 8306,6100;
PA 8300,6097;
PA 8295,6097;
PA 8289,6100;
PA 8286,6103;
PA 8283,6109;
PA 8283,6123;
PA 8286,6133;
PU;PA 8338,6158;
PD;PA 8341,6161;
PA 8344,6158;
PA 8341,6155;
PA 8338,6158;
PA 8344,6158;
PU;PA 8327,6185;
PD;PA 8327,6214;
PU;PA 8344,6180;
PD;PA 8283,6200;
PA 8344,6220;
PU;PA 8289,6237;
PD;PA 8286,6240;
PA 8283,6246;
PA 8283,6260;
PA 8286,6266;
PA 8289,6269;
PA 8295,6272;
PA 8300,6272;
PA 8309,6269;
PA 8344,6235;
PA 8344,6272;
PU;PA 8316,5988;
PD;PA 8371,6018;
PA 8371,6307;
PA 8316,6307;
PA 8261,6307;
PA 8261,6018;
PA 8316,5988;
PU;PA 7567,5635;
PD;PA 7575,5633;
PA 7577,5630;
PA 7579,5626;
PA 7579,5618;
PA 7577,5614;
PA 7575,5611;
PA 7569,5609;
PA 7551,5609;
PA 7551,5657;
PA 7567,5657;
PA 7571,5655;
PA 7575,5653;
PA 7577,5648;
PA 7577,5644;
PA 7575,5639;
PA 7571,5637;
PA 7567,5635;
PA 7551,5635;
PU;PA 7597,5623;
PD;PA 7619,5623;
PU;PA 7592,5609;
PD;PA 7608,5657;
PA 7625,5609;
PU;PA 7638,5653;
PD;PA 7640,5655;
PA 7645,5657;
PA 7656,5657;
PA 7660,5655;
PA 7663,5653;
PA 7665,5648;
PA 7665,5644;
PA 7663,5637;
PA 7636,5609;
PA 7665,5609;
PU;PA 7704,5631;
PD;PA 7681,5673;
PA 7516,5673;
PA 7516,5631;
PA 7516,5588;
PA 7681,5588;
PA 7704,5631;
PU;PA 8061,5273;
PD;PA 8112,5222;
PA 8163,5273;
PA 8061,5273;
PU;PA 8684,6039;
EA 8765,5733;
PU;PA 8725,6039;
PD;PA 8725,6141;
PU;PA 8725,5733;
PD;PA 8725,5631;
PU;PA 8821,5859;
PD;PA 8802,5846;
PU;PA 8821,5837;
PD;PA 8781,5837;
PA 8781,5852;
PA 8783,5856;
PA 8785,5857;
PA 8789,5859;
PA 8794,5859;
PA 8798,5857;
PA 8800,5856;
PA 8802,5852;
PA 8802,5837;
PU;PA 8781,5873;
PD;PA 8781,5898;
PA 8796,5885;
PA 8796,5891;
PA 8798,5895;
PA 8800,5897;
PA 8804,5898;
PA 8813,5898;
PA 8817,5897;
PA 8819,5895;
PA 8821,5891;
PA 8821,5879;
PA 8819,5876;
PA 8817,5873;
PU;PA 8781,5936;
PD;PA 8781,5916;
PA 8800,5914;
PA 8798,5916;
PA 8796,5919;
PA 8796,5930;
PA 8798,5934;
PA 8800,5936;
PA 8804,5937;
PA 8813,5937;
PA 8817,5936;
PA 8819,5934;
PA 8821,5930;
PA 8821,5919;
PA 8819,5916;
PA 8817,5914;
PU;PA 8747,5858;
PD;PA 8747,5836;
PU;PA 8747,5847;
PD;PA 8706,5847;
PA 8712,5843;
PA 8716,5839;
PA 8718,5836;
PU;PA 8706,5884;
PD;PA 8706,5888;
PA 8708,5892;
PA 8710,5894;
PA 8714,5896;
PA 8721,5897;
PA 8732,5897;
PA 8739,5896;
PA 8743,5894;
PA 8745,5892;
PA 8747,5888;
PA 8747,5884;
PA 8745,5880;
PA 8743,5878;
PA 8739,5877;
PA 8732,5875;
PA 8721,5875;
PA 8714,5877;
PA 8710,5878;
PA 8708,5880;
PA 8706,5884;
PU;PA 8747,5915;
PD;PA 8706,5915;
PU;PA 8747,5938;
PD;PA 8723,5920;
PU;PA 8706,5938;
PD;PA 8730,5915;
PU;PA 9388,5671;
EA 9082,5590;
PU;PA 9388,5631;
PD;PA 9490,5631;
PU;PA 9082,5631;
PD;PA 8980,5631;
PU;PA 9208,5534;
PD;PA 9195,5553;
PU;PA 9186,5534;
PD;PA 9186,5574;
PA 9201,5574;
PA 9205,5572;
PA 9206,5570;
PA 9208,5566;
PA 9208,5561;
PA 9206,5557;
PA 9205,5555;
PA 9201,5553;
PA 9186,5553;
PU;PA 9222,5574;
PD;PA 9247,5574;
PA 9234,5559;
PA 9240,5559;
PA 9244,5557;
PA 9246,5555;
PA 9247,5551;
PA 9247,5542;
PA 9246,5538;
PA 9244,5536;
PA 9240,5534;
PA 9228,5534;
PA 9225,5536;
PA 9222,5538;
PU;PA 9266,5534;
PD;PA 9275,5534;
PA 9279,5536;
PA 9281,5538;
PA 9285,5543;
PA 9286,5551;
PA 9286,5566;
PA 9285,5570;
PA 9283,5572;
PA 9279,5574;
PA 9270,5574;
PA 9266,5572;
PA 9265,5570;
PA 9263,5566;
PA 9263,5557;
PA 9265,5553;
PA 9266,5551;
PA 9270,5549;
PA 9279,5549;
PA 9283,5551;
PA 9285,5553;
PA 9286,5557;
PU;PA 9207,5608;
PD;PA 9185,5608;
PU;PA 9196,5608;
PD;PA 9196,5649;
PA 9192,5643;
PA 9188,5639;
PA 9185,5637;
PU;PA 9233,5649;
PD;PA 9237,5649;
PA 9241,5647;
PA 9243,5645;
PA 9245,5641;
PA 9246,5634;
PA 9246,5623;
PA 9245,5616;
PA 9243,5612;
PA 9241,5610;
PA 9237,5608;
PA 9233,5608;
PA 9229,5610;
PA 9227,5612;
PA 9226,5616;
PA 9223,5623;
PA 9223,5634;
PA 9226,5641;
PA 9227,5645;
PA 9229,5647;
PA 9233,5649;
PU;PA 9264,5608;
PD;PA 9264,5649;
PU;PA 9287,5608;
PD;PA 9269,5632;
PU;PA 9287,5649;
PD;PA 9264,5626;
PU;PA 10204,2876;
PD;PA 9796,3080;
PA 10204,3284;
PA 10204,2876;
PU;PA 10102,2927;
PD;PA 10102,2671;
PU;PA 10080,2951;
PD;PA 10120,2964;
PA 10080,2978;
PU;PA 10105,2992;
PD;PA 10105,3022;
PU;PA 10120,3007;
PD;PA 10090,3007;
PU;PA 10062,2807;
PD;PA 10090,2807;
PU;PA 10047,2797;
PD;PA 10077,2788;
PA 10077,2812;
PU;PA 10102,3233;
PD;PA 10102,3488;
PU;PA 10080,3131;
PD;PA 10120,3144;
PA 10080,3157;
PU;PA 10105,3171;
PD;PA 10105,3202;
PU;PA 10090,3352;
PD;PA 10090,3330;
PU;PA 10090,3341;
PD;PA 10049,3341;
PA 10055,3337;
PA 10059,3333;
PA 10061,3330;
PU;PA 10090,3391;
PD;PA 10090,3368;
PU;PA 10090,3380;
PD;PA 10049,3380;
PA 10055,3376;
PA 10059,3371;
PA 10061,3368;
PU;PA 9796,3080;
PD;PA 9490,3080;
PU;PA 9639,3115;
PD;PA 9635,3117;
PA 9634,3119;
PA 9632,3122;
PA 9632,3124;
PA 9634,3129;
PA 9635,3131;
PA 9639,3133;
PA 9647,3133;
PA 9651,3131;
PA 9653,3129;
PA 9654,3124;
PA 9654,3122;
PA 9653,3119;
PA 9651,3117;
PA 9647,3115;
PA 9639,3115;
PA 9635,3113;
PA 9634,3111;
PA 9632,3107;
PA 9632,3100;
PA 9634,3096;
PA 9635,3094;
PA 9639,3092;
PA 9647,3092;
PA 9651,3094;
PA 9653,3096;
PA 9654,3100;
PA 9654,3107;
PA 9653,3111;
PA 9651,3113;
PA 9647,3115;
PU;PA 10204,3182;
PD;PA 10510,3182;
PU;PA 10143,3179;
PD;PA 10173,3179;
PU;PA 10349,3194;
PD;PA 10357,3194;
PA 10361,3196;
PA 10363,3198;
PA 10367,3203;
PA 10368,3211;
PA 10368,3227;
PA 10367,3231;
PA 10365,3233;
PA 10361,3235;
PA 10353,3235;
PA 10349,3233;
PA 10348,3231;
PA 10346,3227;
PA 10346,3217;
PA 10348,3213;
PA 10349,3211;
PA 10353,3209;
PA 10361,3209;
PA 10365,3211;
PA 10367,3213;
PA 10368,3217;
PU;PA 10204,2978;
PD;PA 10510,2978;
PU;PA 10143,2974;
PD;PA 10173,2974;
PU;PA 10158,2959;
PD;PA 10158,2990;
PU;PA 10349,2990;
PD;PA 10327,2990;
PU;PA 10338,2990;
PD;PA 10338,3031;
PA 10334,3024;
PA 10330,3020;
PA 10327,3018;
PU;PA 10375,3031;
PD;PA 10379,3031;
PA 10383,3029;
PA 10385,3027;
PA 10387,3022;
PA 10388,3015;
PA 10388,3005;
PA 10387,2998;
PA 10385,2994;
PA 10383,2992;
PA 10379,2990;
PA 10375,2990;
PA 10370,2992;
PA 10368,2994;
PA 10367,2998;
PA 10365,3005;
PA 10365,3015;
PA 10367,3022;
PA 10368,3027;
PA 10370,3029;
PA 10375,3031;
PU;PA 9842,2906;
PD;PA 9842,2856;
PA 9845,2851;
PA 9848,2848;
PA 9854,2845;
PA 9865,2845;
PA 9871,2848;
PA 9875,2851;
PA 9878,2856;
PA 9878,2906;
PU;PA 9939,2845;
PD;PA 9903,2845;
PU;PA 9921,2845;
PD;PA 9921,2906;
PA 9915,2897;
PA 9909,2892;
PA 9903,2889;
PU;PA 9973,2880;
PD;PA 9967,2883;
PA 9964,2886;
PA 9961,2892;
PA 9961,2894;
PA 9964,2900;
PA 9967,2903;
PA 9973,2906;
PA 9985,2906;
PA 9991,2903;
PA 9994,2900;
PA 9997,2894;
PA 9997,2892;
PA 9994,2886;
PA 9991,2883;
PA 9985,2880;
PA 9973,2880;
PA 9967,2877;
PA 9964,2873;
PA 9961,2868;
PA 9961,2856;
PA 9964,2851;
PA 9967,2848;
PA 9973,2845;
PA 9985,2845;
PA 9991,2848;
PA 9994,2851;
PA 9997,2856;
PA 9997,2868;
PA 9994,2873;
PA 9991,2877;
PA 9985,2880;
PU;PA 10058,2851;
PD;PA 10055,2848;
PA 10046,2845;
PA 10040,2845;
PA 10032,2848;
PA 10026,2853;
PA 10022,2859;
PA 10019,2871;
PA 10019,2880;
PA 10022,2892;
PA 10026,2897;
PA 10032,2903;
PA 10040,2906;
PA 10046,2906;
PA 10055,2903;
PA 10058,2900;
PU;PA 9739,3308;
PD;PA 9767,3308;
PU;PA 9753,3257;
PD;PA 9753,3308;
PU;PA 9809,3257;
PD;PA 9785,3257;
PA 9785,3308;
PU;PA 9835,3308;
PD;PA 9840,3308;
PA 9845,3306;
PA 9847,3304;
PA 9850,3299;
PA 9852,3289;
PA 9852,3277;
PA 9850,3267;
PA 9847,3262;
PA 9845,3260;
PA 9840,3257;
PA 9835,3257;
PA 9831,3260;
PA 9828,3262;
PA 9826,3267;
PA 9823,3277;
PA 9823,3289;
PA 9826,3299;
PA 9828,3304;
PA 9831,3306;
PA 9835,3308;
PU;PA 9882,3287;
PD;PA 9877,3289;
PA 9875,3292;
PA 9872,3296;
PA 9872,3299;
PA 9875,3304;
PA 9877,3306;
PA 9882,3308;
PA 9892,3308;
PA 9896,3306;
PA 9899,3304;
PA 9901,3299;
PA 9901,3296;
PA 9899,3292;
PA 9896,3289;
PA 9892,3287;
PA 9882,3287;
PA 9877,3285;
PA 9875,3282;
PA 9872,3277;
PA 9872,3267;
PA 9875,3262;
PA 9877,3260;
PA 9882,3257;
PA 9892,3257;
PA 9896,3260;
PA 9899,3262;
PA 9901,3267;
PA 9901,3277;
PA 9899,3282;
PA 9896,3285;
PA 9892,3287;
PU;PA 9945,3292;
PD;PA 9945,3257;
PU;PA 9933,3311;
PD;PA 9921,3274;
PA 9952,3274;
PU;PA 10918,5569;
EA 10612,5488;
PU;PA 10918,5529;
PD;PA 11020,5529;
PU;PA 10612,5529;
PD;PA 10510,5529;
PU;PA 10739,5432;
PD;PA 10726,5451;
PU;PA 10716,5432;
PD;PA 10716,5472;
PA 10732,5472;
PA 10736,5470;
PA 10737,5468;
PA 10739,5464;
PA 10739,5459;
PA 10737,5455;
PA 10736,5453;
PA 10732,5451;
PA 10716,5451;
PU;PA 10775,5459;
PD;PA 10775,5432;
PU;PA 10764,5474;
PD;PA 10755,5445;
PA 10780,5445;
PU;PA 10813,5459;
PD;PA 10813,5432;
PU;PA 10803,5474;
PD;PA 10794,5445;
PA 10818,5445;
PU;PA 10732,5534;
PD;PA 10732,5506;
PU;PA 10721,5549;
PD;PA 10712,5519;
PA 10737,5519;
PU;PA 10753,5506;
PD;PA 10753,5547;
PA 10766,5517;
PA 10780,5547;
PA 10780,5506;
PU;PA 10796,5547;
PD;PA 10822,5547;
PA 10805,5506;
PU;PA 10918,5365;
EA 10612,5284;
PU;PA 10918,5324;
PD;PA 11020,5324;
PU;PA 10612,5324;
PD;PA 10510,5324;
PU;PA 10739,5228;
PD;PA 10726,5247;
PU;PA 10716,5228;
PD;PA 10716,5268;
PA 10732,5268;
PA 10736,5266;
PA 10737,5264;
PA 10739,5260;
PA 10739,5255;
PA 10737,5251;
PA 10736,5249;
PA 10732,5247;
PA 10716,5247;
PU;PA 10775,5255;
PD;PA 10775,5228;
PU;PA 10764,5270;
PD;PA 10755,5241;
PA 10780,5241;
PU;PA 10815,5268;
PD;PA 10796,5268;
PA 10794,5249;
PA 10796,5251;
PA 10799,5253;
PA 10809,5253;
PA 10813,5251;
PA 10815,5249;
PA 10816,5245;
PA 10816,5236;
PA 10815,5232;
PA 10813,5230;
PA 10809,5228;
PA 10799,5228;
PA 10796,5230;
PA 10794,5232;
PU;PA 10754,5302;
PD;PA 10732,5302;
PU;PA 10743,5302;
PD;PA 10743,5343;
PA 10739,5337;
PA 10735,5333;
PA 10732,5331;
PU;PA 10772,5302;
PD;PA 10772,5343;
PA 10786,5313;
PA 10799,5343;
PA 10799,5302;
PU;PA 11020,5273;
PD;PA 11071,5324;
PA 11020,5376;
PA 11020,5273;
PU;PA 11068,5518;
PD;PA 11098,5518;
PU;PA 11063,5501;
PD;PA 11084,5562;
PA 11104,5501;
PU;PA 11120,5556;
PD;PA 11123,5559;
PA 11130,5562;
PA 11144,5562;
PA 11150,5559;
PA 11153,5556;
PA 11156,5550;
PA 11156,5545;
PA 11153,5536;
PA 11118,5501;
PA 11156,5501;
PU;PA 11020,5529;
PD;PA 11051,5473;
PA 11191,5473;
PA 11191,5529;
PA 11191,5584;
PA 11051,5584;
PA 11020,5529;
PU;PA 7806,4202;
EA 8520,4712;
PU;PA 7806,4457;
PD;PA 7704,4457;
PU;PA 7852,4485;
PD;PA 7868,4434;
PA 7886,4485;
PU;PA 7910,4434;
PD;PA 7905,4437;
PA 7903,4439;
PA 7901,4444;
PA 7901,4458;
PA 7903,4463;
PA 7905,4465;
PA 7910,4468;
PA 7917,4468;
PA 7922,4465;
PA 7925,4463;
PA 7928,4458;
PA 7928,4444;
PA 7925,4439;
PA 7922,4437;
PA 7917,4434;
PA 7910,4434;
PU;PA 7970,4468;
PD;PA 7970,4434;
PU;PA 7949,4468;
PD;PA 7949,4442;
PA 7951,4437;
PA 7956,4434;
PA 7963,4434;
PA 7968,4437;
PA 7970,4439;
PU;PA 7988,4468;
PD;PA 8007,4468;
PU;PA 7995,4485;
PD;PA 7995,4442;
PA 7997,4437;
PA 8002,4434;
PA 8007,4434;
PU;PA 7769,4469;
PD;PA 7741,4469;
PU;PA 7755,4469;
PD;PA 7755,4520;
PA 7750,4513;
PA 7745,4508;
PA 7741,4506;
PU;PA 8520,4457;
PD;PA 8622,4457;
PU;PA 8367,4439;
PD;PA 8365,4437;
PA 8358,4434;
PA 8353,4434;
PA 8346,4437;
PA 8341,4442;
PA 8339,4446;
PA 8337,4456;
PA 8337,4463;
PA 8339,4472;
PA 8341,4478;
PA 8346,4483;
PA 8353,4485;
PA 8358,4485;
PA 8365,4483;
PA 8367,4481;
PU;PA 8390,4434;
PD;PA 8390,4485;
PU;PA 8390,4461;
PD;PA 8418,4461;
PU;PA 8418,4434;
PD;PA 8418,4485;
PU;PA 8452,4485;
PD;PA 8457,4485;
PA 8462,4483;
PA 8464,4481;
PA 8467,4476;
PA 8469,4465;
PA 8469,4453;
PA 8467,4444;
PA 8464,4439;
PA 8462,4437;
PA 8457,4434;
PA 8452,4434;
PA 8448,4437;
PA 8445,4439;
PA 8443,4444;
PA 8441,4453;
PA 8441,4465;
PA 8443,4476;
PA 8445,4481;
PA 8448,4483;
PA 8452,4485;
PU;PA 8557,4516;
PD;PA 8559,4518;
PA 8564,4520;
PA 8577,4520;
PA 8581,4518;
PA 8584,4516;
PA 8586,4511;
PA 8586,4506;
PA 8584,4499;
PA 8554,4469;
PA 8586,4469;
PU;PA 8010,4202;
PD;PA 8010,4100;
PU;PA 7983,4248;
PD;PA 8034,4264;
PA 7983,4282;
PU;PA 8034,4299;
PD;PA 7999,4299;
PU;PA 8009,4299;
PD;PA 8004,4301;
PA 8002,4304;
PA 7999,4308;
PA 7999,4313;
PU;PA 8031,4350;
PD;PA 8034,4345;
PA 8034,4336;
PA 8031,4331;
PA 8026,4329;
PA 8006,4329;
PA 8002,4331;
PA 7999,4336;
PA 7999,4345;
PA 8002,4350;
PA 8006,4352;
PA 8011,4352;
PA 8016,4329;
PU;PA 7999,4367;
PD;PA 7999,4387;
PU;PA 8034,4374;
PD;PA 7990,4374;
PA 7985,4377;
PA 7983,4382;
PA 7983,4387;
PU;PA 7947,4134;
PD;PA 7947,4165;
PA 7966,4148;
PA 7966,4156;
PA 7968,4160;
PA 7970,4163;
PA 7976,4165;
PA 7988,4165;
PA 7993,4163;
PA 7995,4160;
PA 7998,4156;
PA 7998,4141;
PA 7995,4137;
PA 7993,4134;
PU;PA 8112,4202;
PD;PA 8112,4100;
PU;PA 8085,4248;
PD;PA 8136,4264;
PA 8085,4282;
PU;PA 8133,4297;
PD;PA 8136,4301;
PA 8136,4311;
PA 8133,4316;
PA 8128,4318;
PA 8126,4318;
PA 8120,4316;
PA 8118,4311;
PA 8118,4304;
PA 8116,4299;
PA 8111,4297;
PA 8108,4297;
PA 8104,4299;
PA 8101,4304;
PA 8101,4311;
PA 8104,4316;
PU;PA 8133,4338;
PD;PA 8136,4342;
PA 8136,4352;
PA 8133,4357;
PA 8128,4359;
PA 8126,4359;
PA 8120,4357;
PA 8118,4352;
PA 8118,4345;
PA 8116,4340;
PA 8111,4338;
PA 8108,4338;
PA 8104,4340;
PA 8101,4345;
PA 8101,4352;
PA 8104,4357;
PU;PA 8065,4160;
PD;PA 8100,4160;
PU;PA 8046,4148;
PD;PA 8083,4137;
PA 8083,4167;
PU;PA 8316,4712;
PD;PA 8316,4814;
PU;PA 8335,4612;
PD;PA 8337,4610;
PA 8340,4603;
PA 8340,4598;
PA 8337,4591;
PA 8332,4586;
PA 8328,4584;
PA 8317,4582;
PA 8310,4582;
PA 8301,4584;
PA 8296,4586;
PA 8291,4591;
PA 8289,4598;
PA 8289,4603;
PA 8291,4610;
PA 8293,4612;
PU;PA 8337,4633;
PD;PA 8340,4640;
PA 8340,4652;
PA 8337,4656;
PA 8335,4659;
PA 8330,4661;
PA 8325,4661;
PA 8320,4659;
PA 8317,4656;
PA 8315,4652;
PA 8312,4642;
PA 8310,4637;
PA 8308,4635;
PA 8303,4633;
PA 8298,4633;
PA 8293,4635;
PA 8291,4637;
PA 8289,4642;
PA 8289,4654;
PA 8291,4661;
PU;PA 8253,4776;
PD;PA 8253,4751;
PA 8277,4749;
PA 8275,4751;
PA 8272,4756;
PA 8272,4768;
PA 8275,4772;
PA 8277,4776;
PA 8282,4778;
PA 8294,4778;
PA 8299,4776;
PA 8301,4772;
PA 8304,4768;
PA 8304,4756;
PA 8301,4751;
PA 8299,4749;
PU;PA 8214,4712;
PD;PA 8214,4814;
PU;PA 8235,4557;
PD;PA 8238,4564;
PA 8238,4577;
PA 8235,4581;
PA 8233,4584;
PA 8228,4586;
PA 8222,4586;
PA 8218,4584;
PA 8215,4581;
PA 8213,4577;
PA 8210,4566;
PA 8208,4561;
PA 8206,4559;
PA 8201,4557;
PA 8196,4557;
PA 8191,4559;
PA 8189,4561;
PA 8187,4566;
PA 8187,4579;
PA 8189,4586;
PU;PA 8238,4608;
PD;PA 8187,4608;
PA 8187,4620;
PA 8189,4628;
PA 8194,4633;
PA 8199,4635;
PA 8208,4637;
PA 8215,4637;
PA 8226,4635;
PA 8230,4633;
PA 8235,4628;
PA 8238,4620;
PA 8238,4608;
PU;PA 8238,4659;
PD;PA 8187,4659;
PU;PA 8151,4772;
PD;PA 8151,4763;
PA 8153,4758;
PA 8155,4756;
PA 8163,4751;
PA 8172,4749;
PA 8192,4749;
PA 8197,4751;
PA 8199,4753;
PA 8202,4758;
PA 8202,4768;
PA 8199,4772;
PA 8197,4776;
PA 8192,4778;
PA 8180,4778;
PA 8175,4776;
PA 8172,4772;
PA 8170,4768;
PA 8170,4758;
PA 8172,4753;
PA 8175,4751;
PA 8180,4749;
PU;PA 8112,4712;
PD;PA 8112,4814;
PU;PA 8133,4531;
PD;PA 8136,4538;
PA 8136,4550;
PA 8133,4554;
PA 8131,4557;
PA 8126,4559;
PA 8120,4559;
PA 8116,4557;
PA 8113,4554;
PA 8111,4550;
PA 8108,4540;
PA 8106,4535;
PA 8104,4533;
PA 8099,4531;
PA 8094,4531;
PA 8089,4533;
PA 8087,4535;
PA 8085,4540;
PA 8085,4552;
PA 8087,4559;
PU;PA 8131,4610;
PD;PA 8133,4608;
PA 8136,4601;
PA 8136,4596;
PA 8133,4589;
PA 8128,4584;
PA 8123,4582;
PA 8113,4580;
PA 8106,4580;
PA 8097,4582;
PA 8092,4584;
PA 8087,4589;
PA 8085,4596;
PA 8085,4601;
PA 8087,4608;
PA 8089,4610;
PU;PA 8136,4633;
PD;PA 8085,4633;
PU;PA 8136,4661;
PD;PA 8106,4640;
PU;PA 8085,4661;
PD;PA 8113,4633;
PU;PA 8049,4746;
PD;PA 8049,4780;
PA 8100,4758;
PU;PA 8010,4712;
PD;PA 8010,4814;
PU;PA 7983,4541;
PD;PA 8034,4557;
PA 7983,4574;
PU;PA 8034,4613;
PD;PA 7983,4613;
PU;PA 8031,4613;
PD;PA 8034,4609;
PA 8034,4599;
PA 8031,4594;
PA 8029,4592;
PA 8023,4590;
PA 8009,4590;
PA 8004,4592;
PA 8002,4594;
PA 7999,4599;
PA 7999,4609;
PA 8002,4613;
PU;PA 8034,4659;
PD;PA 7983,4659;
PU;PA 8031,4659;
PD;PA 8034,4655;
PA 8034,4645;
PA 8031,4640;
PA 8029,4638;
PA 8023,4636;
PA 8009,4636;
PA 8004,4638;
PA 8002,4640;
PA 7999,4645;
PA 7999,4655;
PA 8002,4659;
PU;PA 7968,4758;
PD;PA 7966,4753;
PA 7963,4751;
PA 7959,4749;
PA 7956,4749;
PA 7951,4751;
PA 7949,4753;
PA 7947,4758;
PA 7947,4768;
PA 7949,4772;
PA 7951,4776;
PA 7956,4778;
PA 7959,4778;
PA 7963,4776;
PA 7966,4772;
PA 7968,4768;
PA 7968,4758;
PA 7970,4753;
PA 7973,4751;
PA 7979,4749;
PA 7988,4749;
PA 7993,4751;
PA 7995,4753;
PA 7998,4758;
PA 7998,4768;
PA 7995,4772;
PA 7993,4776;
PA 7988,4778;
PA 7979,4778;
PA 7973,4776;
PA 7970,4772;
PA 7968,4768;
PU;PA 8355,4182;
PD;PA 8355,4141;
PA 8357,4136;
PA 8360,4134;
PA 8364,4131;
PA 8375,4131;
PA 8380,4134;
PA 8382,4136;
PA 8384,4141;
PA 8384,4182;
PU;PA 8435,4131;
PD;PA 8406,4131;
PU;PA 8420,4131;
PD;PA 8420,4182;
PA 8415,4174;
PA 8410,4169;
PA 8406,4167;
PU;PA 8479,4182;
PD;PA 8469,4182;
PA 8464,4180;
PA 8462,4178;
PA 8457,4169;
PA 8455,4160;
PA 8455,4141;
PA 8457,4136;
PA 8459,4134;
PA 8464,4131;
PA 8475,4131;
PA 8479,4134;
PA 8482,4136;
PA 8484,4141;
PA 8484,4153;
PA 8482,4158;
PA 8479,4160;
PA 8475,4162;
PA 8464,4162;
PA 8459,4160;
PA 8457,4158;
PA 8455,4153;
PU;PA 8354,4794;
PD;PA 8345,4794;
PA 8340,4792;
PA 8338,4790;
PA 8333,4782;
PA 8331,4772;
PA 8331,4753;
PA 8333,4748;
PA 8335,4746;
PA 8340,4743;
PA 8350,4743;
PA 8354,4746;
PA 8357,4748;
PA 8359,4753;
PA 8359,4765;
PA 8357,4770;
PA 8354,4772;
PA 8350,4774;
PA 8340,4774;
PA 8335,4772;
PA 8333,4770;
PA 8331,4765;
PU;PA 8380,4746;
PD;PA 8387,4743;
PA 8399,4743;
PA 8403,4746;
PA 8406,4748;
PA 8408,4753;
PA 8408,4758;
PA 8406,4762;
PA 8403,4765;
PA 8399,4767;
PA 8389,4770;
PA 8384,4772;
PA 8382,4774;
PA 8380,4780;
PA 8380,4785;
PA 8382,4790;
PA 8384,4792;
PA 8389,4794;
PA 8401,4794;
PA 8408,4792;
PU;PA 8429,4790;
PD;PA 8431,4792;
PA 8436,4794;
PA 8448,4794;
PA 8452,4792;
PA 8455,4790;
PA 8457,4785;
PA 8457,4780;
PA 8455,4772;
PA 8426,4743;
PA 8457,4743;
PU;PA 8506,4743;
PD;PA 8478,4743;
PU;PA 8492,4743;
PD;PA 8492,4794;
PA 8487,4787;
PA 8482,4782;
PA 8478,4780;
PU;PA 8096,4951;
PD;PA 8099,4960;
PA 8099,4974;
PA 8096,4981;
PA 8093,4984;
PA 8088,4987;
PA 8082,4987;
PA 8076,4984;
PA 8072,4981;
PA 8070,4974;
PA 8067,4963;
PA 8064,4957;
PA 8061,4954;
PA 8055,4951;
PA 8050,4951;
PA 8044,4954;
PA 8041,4957;
PA 8038,4963;
PA 8038,4978;
PA 8041,4987;
PU;PA 8093,5048;
PD;PA 8096,5045;
PA 8099,5036;
PA 8099,5030;
PA 8096,5021;
PA 8091,5015;
PA 8085,5012;
PA 8072,5009;
PA 8064,5009;
PA 8052,5012;
PA 8047,5015;
PA 8041,5021;
PA 8038,5030;
PA 8038,5036;
PA 8041,5045;
PA 8044,5048;
PU;PA 8099,5073;
PD;PA 8038,5073;
PU;PA 8099,5109;
PD;PA 8064,5083;
PU;PA 8038,5109;
PD;PA 8072,5073;
PU;PA 8198,4948;
PD;PA 8201,4957;
PA 8201,4971;
PA 8198,4978;
PA 8195,4981;
PA 8190,4984;
PA 8184,4984;
PA 8178,4981;
PA 8175,4978;
PA 8172,4971;
PA 8169,4960;
PA 8166,4954;
PA 8163,4951;
PA 8157,4948;
PA 8152,4948;
PA 8146,4951;
PA 8143,4954;
PA 8140,4960;
PA 8140,4974;
PA 8143,4984;
PU;PA 8201,5009;
PD;PA 8140,5009;
PA 8140,5024;
PA 8143,5033;
PA 8149,5039;
PA 8154,5042;
PA 8166,5045;
PA 8175,5045;
PA 8187,5042;
PA 8193,5039;
PA 8198,5033;
PA 8201,5024;
PA 8201,5009;
PU;PA 8140,5083;
PD;PA 8140,5094;
PA 8143,5100;
PA 8149,5106;
PA 8160,5108;
PA 8181,5108;
PA 8193,5106;
PA 8198,5100;
PA 8201,5094;
PA 8201,5083;
PA 8198,5077;
PA 8193,5070;
PA 8181,5067;
PA 8160,5067;
PA 8149,5070;
PA 8143,5077;
PA 8140,5083;
PU;PA 8338,4901;
PD;PA 8341,4898;
PA 8344,4889;
PA 8344,4883;
PA 8341,4874;
PA 8336,4868;
PA 8330,4865;
PA 8317,4862;
PA 8309,4862;
PA 8297,4865;
PA 8292,4868;
PA 8286,4874;
PA 8283,4883;
PA 8283,4889;
PA 8286,4898;
PA 8289,4901;
PU;PA 8341,4923;
PD;PA 8344,4933;
PA 8344,4947;
PA 8341,4953;
PA 8338,4956;
PA 8333,4959;
PA 8327,4959;
PA 8320,4956;
PA 8317,4953;
PA 8315,4947;
PA 8312,4936;
PA 8309,4930;
PA 8306,4927;
PA 8300,4923;
PA 8295,4923;
PA 8289,4927;
PA 8286,4930;
PA 8283,4936;
PA 8283,4950;
PA 8286,4959;
PU;PA 8338,4985;
PD;PA 8341,4988;
PA 8344,4985;
PA 8341,4982;
PA 8338,4985;
PA 8344,4985;
PU;PA 8327,5011;
PD;PA 8327,5041;
PU;PA 8344,5006;
PD;PA 8283,5027;
PA 8344,5047;
PU;PA 8283,5061;
PD;PA 8283,5099;
PA 8306,5079;
PA 8306,5087;
PA 8309,5093;
PA 8312,5096;
PA 8317,5099;
PA 8333,5099;
PA 8338,5096;
PA 8341,5093;
PA 8344,5087;
PA 8344,5069;
PA 8341,5063;
PA 8338,5061;
PU;PA 8316,4814;
PD;PA 8371,4845;
PA 8371,5134;
PA 8316,5134;
PA 8261,5134;
PA 8261,4845;
PA 8316,4814;
PU;PA 7567,4461;
PD;PA 7575,4459;
PA 7577,4456;
PA 7579,4452;
PA 7579,4445;
PA 7577,4441;
PA 7575,4438;
PA 7569,4436;
PA 7551,4436;
PA 7551,4484;
PA 7567,4484;
PA 7571,4482;
PA 7575,4480;
PA 7577,4474;
PA 7577,4470;
PA 7575,4465;
PA 7571,4463;
PA 7567,4461;
PA 7551,4461;
PU;PA 7597,4450;
PD;PA 7619,4450;
PU;PA 7592,4436;
PD;PA 7608,4484;
PA 7625,4436;
PU;PA 7636,4484;
PD;PA 7665,4484;
PA 7649,4465;
PA 7656,4465;
PA 7660,4463;
PA 7663,4461;
PA 7665,4456;
PA 7665,4445;
PA 7663,4441;
PA 7660,4438;
PA 7656,4436;
PA 7642,4436;
PA 7638,4438;
PA 7636,4441;
PU;PA 7704,4457;
PD;PA 7681,4500;
PA 7516,4500;
PA 7516,4457;
PA 7516,4414;
PA 7681,4414;
PA 7704,4457;
PU;PA 8061,4100;
PD;PA 8112,4049;
PA 8163,4100;
PA 8061,4100;
PU;PA 8684,4865;
EA 8765,4559;
PU;PA 8725,4865;
PD;PA 8725,4967;
PU;PA 8725,4559;
PD;PA 8725,4457;
PU;PA 8821,4686;
PD;PA 8802,4672;
PU;PA 8821,4663;
PD;PA 8781,4663;
PA 8781,4679;
PA 8783,4683;
PA 8785,4684;
PA 8789,4686;
PA 8794,4686;
PA 8798,4684;
PA 8800,4683;
PA 8802,4679;
PA 8802,4663;
PU;PA 8781,4700;
PD;PA 8781,4724;
PA 8796,4711;
PA 8796,4717;
PA 8798,4721;
PA 8800,4723;
PA 8804,4724;
PA 8813,4724;
PA 8817,4723;
PA 8819,4721;
PA 8821,4717;
PA 8821,4705;
PA 8819,4702;
PA 8817,4700;
PU;PA 8781,4760;
PD;PA 8781,4752;
PA 8783,4748;
PA 8785,4746;
PA 8791,4743;
PA 8798,4741;
PA 8813,4741;
PA 8817,4743;
PA 8819,4744;
PA 8821,4748;
PA 8821,4756;
PA 8819,4760;
PA 8817,4762;
PA 8813,4763;
PA 8804,4763;
PA 8800,4762;
PA 8798,4760;
PA 8796,4756;
PA 8796,4748;
PA 8798,4744;
PA 8800,4743;
PA 8804,4741;
PU;PA 8747,4685;
PD;PA 8747,4662;
PU;PA 8747,4673;
PD;PA 8706,4673;
PA 8712,4669;
PA 8716,4665;
PA 8718,4662;
PU;PA 8706,4710;
PD;PA 8706,4714;
PA 8708,4718;
PA 8710,4720;
PA 8714,4722;
PA 8721,4723;
PA 8732,4723;
PA 8739,4722;
PA 8743,4720;
PA 8745,4718;
PA 8747,4714;
PA 8747,4710;
PA 8745,4706;
PA 8743,4704;
PA 8739,4703;
PA 8732,4701;
PA 8721,4701;
PA 8714,4703;
PA 8710,4704;
PA 8708,4706;
PA 8706,4710;
PU;PA 8747,4742;
PD;PA 8706,4742;
PU;PA 8747,4764;
PD;PA 8723,4747;
PU;PA 8706,4764;
PD;PA 8730,4742;
PU;PA 9388,4498;
EA 9082,4416;
PU;PA 9388,4457;
PD;PA 9490,4457;
PU;PA 9082,4457;
PD;PA 8980,4457;
PU;PA 9208,4360;
PD;PA 9195,4380;
PU;PA 9186,4360;
PD;PA 9186,4401;
PA 9201,4401;
PA 9205,4399;
PA 9206,4397;
PA 9208,4393;
PA 9208,4388;
PA 9206,4384;
PA 9205,4382;
PA 9201,4380;
PA 9186,4380;
PU;PA 9244,4388;
PD;PA 9244,4360;
PU;PA 9234,4403;
PD;PA 9225,4373;
PA 9249,4373;
PU;PA 9272,4401;
PD;PA 9277,4401;
PA 9281,4399;
PA 9283,4397;
PA 9285,4393;
PA 9286,4386;
PA 9286,4376;
PA 9285,4368;
PA 9283,4364;
PA 9281,4362;
PA 9277,4360;
PA 9272,4360;
PA 9268,4362;
PA 9266,4364;
PA 9265,4368;
PA 9263,4376;
PA 9263,4386;
PA 9265,4393;
PA 9266,4397;
PA 9268,4399;
PA 9272,4401;
PU;PA 9207,4435;
PD;PA 9185,4435;
PU;PA 9196,4435;
PD;PA 9196,4476;
PA 9192,4469;
PA 9188,4465;
PA 9185,4463;
PU;PA 9233,4476;
PD;PA 9237,4476;
PA 9241,4473;
PA 9243,4471;
PA 9245,4467;
PA 9246,4460;
PA 9246,4450;
PA 9245,4443;
PA 9243,4439;
PA 9241,4437;
PA 9237,4435;
PA 9233,4435;
PA 9229,4437;
PA 9227,4439;
PA 9226,4443;
PA 9223,4450;
PA 9223,4460;
PA 9226,4467;
PA 9227,4471;
PA 9229,4473;
PA 9233,4476;
PU;PA 9264,4435;
PD;PA 9264,4476;
PU;PA 9287,4435;
PD;PA 9269,4458;
PU;PA 9287,4476;
PD;PA 9264,4452;
PU;PA 10204,4253;
PD;PA 9796,4457;
PA 10204,4661;
PA 10204,4253;
PU;PA 10102,4304;
PD;PA 10102,4049;
PU;PA 10080,4329;
PD;PA 10120,4342;
PA 10080,4355;
PU;PA 10105,4369;
PD;PA 10105,4400;
PU;PA 10120,4385;
PD;PA 10090,4385;
PU;PA 10062,4185;
PD;PA 10090,4185;
PU;PA 10047,4174;
PD;PA 10077,4165;
PA 10077,4190;
PU;PA 10102,4610;
PD;PA 10102,4865;
PU;PA 10080,4508;
PD;PA 10120,4521;
PA 10080,4535;
PU;PA 10105,4549;
PD;PA 10105,4580;
PU;PA 10090,4730;
PD;PA 10090,4707;
PU;PA 10090,4718;
PD;PA 10049,4718;
PA 10055,4714;
PA 10059,4710;
PA 10061,4707;
PU;PA 10090,4768;
PD;PA 10090,4746;
PU;PA 10090,4757;
PD;PA 10049,4757;
PA 10055,4753;
PA 10059,4749;
PA 10061,4746;
PU;PA 10204,4355;
PD;PA 10510,4355;
PU;PA 10143,4352;
PD;PA 10173,4352;
PU;PA 10158,4337;
PD;PA 10158,4367;
PU;PA 10367,4408;
PD;PA 10348,4408;
PA 10346,4389;
PA 10348,4391;
PA 10351,4393;
PA 10361,4393;
PA 10365,4391;
PA 10367,4389;
PA 10368,4385;
PA 10368,4376;
PA 10367,4371;
PA 10365,4369;
PA 10361,4367;
PA 10351,4367;
PA 10348,4369;
PA 10346,4371;
PU;PA 10204,4559;
PD;PA 10510,4559;
PU;PA 10143,4556;
PD;PA 10173,4556;
PU;PA 10365,4612;
PD;PA 10357,4612;
PA 10353,4610;
PA 10351,4608;
PA 10348,4602;
PA 10346,4595;
PA 10346,4580;
PA 10348,4576;
PA 10349,4573;
PA 10353,4571;
PA 10361,4571;
PA 10365,4573;
PA 10367,4576;
PA 10368,4580;
PA 10368,4589;
PA 10367,4593;
PA 10365,4595;
PA 10361,4597;
PA 10353,4597;
PA 10349,4595;
PA 10348,4593;
PA 10346,4589;
PU;PA 9796,4457;
PD;PA 9490,4457;
PU;PA 9630,4510;
PD;PA 9656,4510;
PA 9639,4469;
PU;PA 9842,4284;
PD;PA 9842,4234;
PA 9845,4229;
PA 9848,4226;
PA 9854,4222;
PA 9865,4222;
PA 9871,4226;
PA 9875,4229;
PA 9878,4234;
PA 9878,4284;
PU;PA 9939,4222;
PD;PA 9903,4222;
PU;PA 9921,4222;
PD;PA 9921,4284;
PA 9915,4274;
PA 9909,4269;
PA 9903,4266;
PU;PA 9973,4257;
PD;PA 9967,4260;
PA 9964,4263;
PA 9961,4269;
PA 9961,4271;
PA 9964,4278;
PA 9967,4281;
PA 9973,4284;
PA 9985,4284;
PA 9991,4281;
PA 9994,4278;
PA 9997,4271;
PA 9997,4269;
PA 9994,4263;
PA 9991,4260;
PA 9985,4257;
PA 9973,4257;
PA 9967,4254;
PA 9964,4251;
PA 9961,4246;
PA 9961,4234;
PA 9964,4229;
PA 9967,4226;
PA 9973,4222;
PA 9985,4222;
PA 9991,4226;
PA 9994,4229;
PA 9997,4234;
PA 9997,4246;
PA 9994,4251;
PA 9991,4254;
PA 9985,4257;
PU;PA 10043,4254;
PD;PA 10052,4251;
PA 10055,4249;
PA 10058,4243;
PA 10058,4234;
PA 10055,4229;
PA 10052,4226;
PA 10046,4222;
PA 10022,4222;
PA 10022,4284;
PA 10043,4284;
PA 10049,4281;
PA 10052,4278;
PA 10055,4271;
PA 10055,4266;
PA 10052,4260;
PA 10049,4257;
PA 10043,4254;
PA 10022,4254;
PU;PA 9739,4686;
PD;PA 9767,4686;
PU;PA 9753,4635;
PD;PA 9753,4686;
PU;PA 9809,4635;
PD;PA 9785,4635;
PA 9785,4686;
PU;PA 9835,4686;
PD;PA 9840,4686;
PA 9845,4684;
PA 9847,4682;
PA 9850,4677;
PA 9852,4666;
PA 9852,4654;
PA 9850,4645;
PA 9847,4640;
PA 9845,4638;
PA 9840,4635;
PA 9835,4635;
PA 9831,4638;
PA 9828,4640;
PA 9826,4645;
PA 9823,4654;
PA 9823,4666;
PA 9826,4677;
PA 9828,4682;
PA 9831,4684;
PA 9835,4686;
PU;PA 9882,4664;
PD;PA 9877,4666;
PA 9875,4669;
PA 9872,4673;
PA 9872,4677;
PA 9875,4682;
PA 9877,4684;
PA 9882,4686;
PA 9892,4686;
PA 9896,4684;
PA 9899,4682;
PA 9901,4677;
PA 9901,4673;
PA 9899,4669;
PA 9896,4666;
PA 9892,4664;
PA 9882,4664;
PA 9877,4662;
PA 9875,4659;
PA 9872,4654;
PA 9872,4645;
PA 9875,4640;
PA 9877,4638;
PA 9882,4635;
PA 9892,4635;
PA 9896,4638;
PA 9899,4640;
PA 9901,4645;
PA 9901,4654;
PA 9899,4659;
PA 9896,4662;
PA 9892,4664;
PU;PA 9945,4669;
PD;PA 9945,4635;
PU;PA 9933,4689;
PD;PA 9921,4652;
PA 9952,4652;
PU;PA 10918,4396;
EA 10612,4314;
PU;PA 10918,4355;
PD;PA 11020,4355;
PU;PA 10612,4355;
PD;PA 10510,4355;
PU;PA 10739,4258;
PD;PA 10726,4278;
PU;PA 10716,4258;
PD;PA 10716,4299;
PA 10732,4299;
PA 10736,4297;
PA 10737,4295;
PA 10739,4291;
PA 10739,4286;
PA 10737,4282;
PA 10736,4280;
PA 10732,4278;
PA 10716,4278;
PU;PA 10775,4286;
PD;PA 10775,4258;
PU;PA 10764,4301;
PD;PA 10755,4271;
PA 10780,4271;
PU;PA 10813,4299;
PD;PA 10805,4299;
PA 10801,4297;
PA 10799,4295;
PA 10796,4289;
PA 10794,4282;
PA 10794,4266;
PA 10796,4262;
PA 10797,4260;
PA 10801,4258;
PA 10809,4258;
PA 10813,4260;
PA 10815,4262;
PA 10816,4266;
PA 10816,4276;
PA 10815,4280;
PA 10813,4282;
PA 10809,4284;
PA 10801,4284;
PA 10797,4282;
PA 10796,4280;
PA 10794,4276;
PU;PA 10732,4360;
PD;PA 10732,4333;
PU;PA 10721,4376;
PD;PA 10712,4346;
PA 10737,4346;
PU;PA 10753,4333;
PD;PA 10753,4373;
PA 10766,4344;
PA 10780,4373;
PA 10780,4333;
PU;PA 10796,4373;
PD;PA 10822,4373;
PA 10805,4333;
PU;PA 10918,4192;
EA 10612,4110;
PU;PA 10918,4151;
PD;PA 11020,4151;
PU;PA 10612,4151;
PD;PA 10510,4151;
PU;PA 10739,4054;
PD;PA 10726,4073;
PU;PA 10716,4054;
PD;PA 10716,4095;
PA 10732,4095;
PA 10736,4093;
PA 10737,4091;
PA 10739,4087;
PA 10739,4082;
PA 10737,4078;
PA 10736,4076;
PA 10732,4073;
PA 10716,4073;
PU;PA 10775,4082;
PD;PA 10775,4054;
PU;PA 10764,4097;
PD;PA 10755,4067;
PA 10780,4067;
PU;PA 10792,4095;
PD;PA 10818,4095;
PA 10801,4054;
PU;PA 10754,4129;
PD;PA 10732,4129;
PU;PA 10743,4129;
PD;PA 10743,4169;
PA 10739,4163;
PA 10735,4159;
PA 10732,4157;
PU;PA 10772,4129;
PD;PA 10772,4169;
PA 10786,4140;
PA 10799,4169;
PA 10799,4129;
PU;PA 11020,4100;
PD;PA 11071,4151;
PA 11020,4202;
PA 11020,4100;
PU;PA 11068,4345;
PD;PA 11098,4345;
PU;PA 11063,4328;
PD;PA 11084,4389;
PA 11104,4328;
PU;PA 11118,4389;
PD;PA 11156,4389;
PA 11136,4365;
PA 11144,4365;
PA 11150,4362;
PA 11153,4359;
PA 11156,4354;
PA 11156,4339;
PA 11153,4334;
PA 11150,4331;
PA 11144,4328;
PA 11127,4328;
PA 11120,4331;
PA 11118,4334;
PU;PA 11020,4355;
PD;PA 11051,4300;
PA 11191,4300;
PA 11191,4355;
PA 11191,4410;
PA 11051,4410;
PA 11020,4355;
PU;PA 7806,2824;
EA 8520,3335;
PU;PA 7806,3080;
PD;PA 7704,3080;
PU;PA 7852,3107;
PD;PA 7868,3056;
PA 7886,3107;
PU;PA 7910,3056;
PD;PA 7905,3059;
PA 7903,3061;
PA 7901,3066;
PA 7901,3081;
PA 7903,3086;
PA 7905,3088;
PA 7910,3091;
PA 7917,3091;
PA 7922,3088;
PA 7925,3086;
PA 7928,3081;
PA 7928,3066;
PA 7925,3061;
PA 7922,3059;
PA 7917,3056;
PA 7910,3056;
PU;PA 7970,3091;
PD;PA 7970,3056;
PU;PA 7949,3091;
PD;PA 7949,3064;
PA 7951,3059;
PA 7956,3056;
PA 7963,3056;
PA 7968,3059;
PA 7970,3061;
PU;PA 7988,3091;
PD;PA 8007,3091;
PU;PA 7995,3107;
PD;PA 7995,3064;
PA 7997,3059;
PA 8002,3056;
PA 8007,3056;
PU;PA 7769,3092;
PD;PA 7741,3092;
PU;PA 7755,3092;
PD;PA 7755,3143;
PA 7750,3136;
PA 7745,3131;
PA 7741,3129;
PU;PA 8520,3080;
PD;PA 8622,3080;
PU;PA 8367,3061;
PD;PA 8365,3059;
PA 8358,3056;
PA 8353,3056;
PA 8346,3059;
PA 8341,3064;
PA 8339,3068;
PA 8337,3079;
PA 8337,3086;
PA 8339,3095;
PA 8341,3100;
PA 8346,3105;
PA 8353,3107;
PA 8358,3107;
PA 8365,3105;
PA 8367,3103;
PU;PA 8390,3056;
PD;PA 8390,3107;
PU;PA 8390,3084;
PD;PA 8418,3084;
PU;PA 8418,3056;
PD;PA 8418,3107;
PU;PA 8452,3107;
PD;PA 8457,3107;
PA 8462,3105;
PA 8464,3103;
PA 8467,3098;
PA 8469,3088;
PA 8469,3076;
PA 8467,3066;
PA 8464,3061;
PA 8462,3059;
PA 8457,3056;
PA 8452,3056;
PA 8448,3059;
PA 8445,3061;
PA 8443,3066;
PA 8441,3076;
PA 8441,3088;
PA 8443,3098;
PA 8445,3103;
PA 8448,3105;
PA 8452,3107;
PU;PA 8557,3139;
PD;PA 8559,3141;
PA 8564,3143;
PA 8577,3143;
PA 8581,3141;
PA 8584,3139;
PA 8586,3134;
PA 8586,3129;
PA 8584,3121;
PA 8554,3092;
PA 8586,3092;
PU;PA 8010,2824;
PD;PA 8010,2722;
PU;PA 7983,2870;
PD;PA 8034,2887;
PA 7983,2904;
PU;PA 8034,2921;
PD;PA 7999,2921;
PU;PA 8009,2921;
PD;PA 8004,2923;
PA 8002,2927;
PA 7999,2931;
PA 7999,2936;
PU;PA 8031,2972;
PD;PA 8034,2967;
PA 8034,2958;
PA 8031,2953;
PA 8026,2951;
PA 8006,2951;
PA 8002,2953;
PA 7999,2958;
PA 7999,2967;
PA 8002,2972;
PA 8006,2974;
PA 8011,2974;
PA 8016,2951;
PU;PA 7999,2990;
PD;PA 7999,3009;
PU;PA 8034,2997;
PD;PA 7990,2997;
PA 7985,2999;
PA 7983,3004;
PA 7983,3009;
PU;PA 7947,2756;
PD;PA 7947,2788;
PA 7966,2770;
PA 7966,2779;
PA 7968,2783;
PA 7970,2786;
PA 7976,2788;
PA 7988,2788;
PA 7993,2786;
PA 7995,2783;
PA 7998,2779;
PA 7998,2763;
PA 7995,2759;
PA 7993,2756;
PU;PA 8112,2824;
PD;PA 8112,2722;
PU;PA 8085,2870;
PD;PA 8136,2887;
PA 8085,2904;
PU;PA 8133,2919;
PD;PA 8136,2923;
PA 8136,2934;
PA 8133,2939;
PA 8128,2941;
PA 8126,2941;
PA 8120,2939;
PA 8118,2934;
PA 8118,2927;
PA 8116,2921;
PA 8111,2919;
PA 8108,2919;
PA 8104,2921;
PA 8101,2927;
PA 8101,2934;
PA 8104,2939;
PU;PA 8133,2960;
PD;PA 8136,2964;
PA 8136,2974;
PA 8133,2980;
PA 8128,2982;
PA 8126,2982;
PA 8120,2980;
PA 8118,2974;
PA 8118,2967;
PA 8116,2962;
PA 8111,2960;
PA 8108,2960;
PA 8104,2962;
PA 8101,2967;
PA 8101,2974;
PA 8104,2980;
PU;PA 8065,2783;
PD;PA 8100,2783;
PU;PA 8046,2770;
PD;PA 8083,2759;
PA 8083,2790;
PU;PA 8316,3335;
PD;PA 8316,3437;
PU;PA 8335,3235;
PD;PA 8337,3233;
PA 8340,3226;
PA 8340,3220;
PA 8337,3213;
PA 8332,3208;
PA 8328,3206;
PA 8317,3204;
PA 8310,3204;
PA 8301,3206;
PA 8296,3208;
PA 8291,3213;
PA 8289,3220;
PA 8289,3226;
PA 8291,3233;
PA 8293,3235;
PU;PA 8337,3255;
PD;PA 8340,3262;
PA 8340,3274;
PA 8337,3279;
PA 8335,3282;
PA 8330,3284;
PA 8325,3284;
PA 8320,3282;
PA 8317,3279;
PA 8315,3274;
PA 8312,3264;
PA 8310,3259;
PA 8308,3257;
PA 8303,3255;
PA 8298,3255;
PA 8293,3257;
PA 8291,3259;
PA 8289,3264;
PA 8289,3277;
PA 8291,3284;
PU;PA 8253,3398;
PD;PA 8253,3373;
PA 8277,3371;
PA 8275,3373;
PA 8272,3379;
PA 8272,3391;
PA 8275,3395;
PA 8277,3398;
PA 8282,3400;
PA 8294,3400;
PA 8299,3398;
PA 8301,3395;
PA 8304,3391;
PA 8304,3379;
PA 8301,3373;
PA 8299,3371;
PU;PA 8214,3335;
PD;PA 8214,3437;
PU;PA 8235,3180;
PD;PA 8238,3187;
PA 8238,3199;
PA 8235,3203;
PA 8233,3206;
PA 8228,3208;
PA 8222,3208;
PA 8218,3206;
PA 8215,3203;
PA 8213,3199;
PA 8210,3189;
PA 8208,3184;
PA 8206,3182;
PA 8201,3180;
PA 8196,3180;
PA 8191,3182;
PA 8189,3184;
PA 8187,3189;
PA 8187,3201;
PA 8189,3208;
PU;PA 8238,3231;
PD;PA 8187,3231;
PA 8187,3243;
PA 8189,3250;
PA 8194,3255;
PA 8199,3257;
PA 8208,3259;
PA 8215,3259;
PA 8226,3257;
PA 8230,3255;
PA 8235,3250;
PA 8238,3243;
PA 8238,3231;
PU;PA 8238,3282;
PD;PA 8187,3282;
PU;PA 8151,3395;
PD;PA 8151,3386;
PA 8153,3381;
PA 8155,3379;
PA 8163,3373;
PA 8172,3371;
PA 8192,3371;
PA 8197,3373;
PA 8199,3376;
PA 8202,3381;
PA 8202,3391;
PA 8199,3395;
PA 8197,3398;
PA 8192,3400;
PA 8180,3400;
PA 8175,3398;
PA 8172,3395;
PA 8170,3391;
PA 8170,3381;
PA 8172,3376;
PA 8175,3373;
PA 8180,3371;
PU;PA 8112,3335;
PD;PA 8112,3437;
PU;PA 8133,3153;
PD;PA 8136,3160;
PA 8136,3172;
PA 8133,3177;
PA 8131,3180;
PA 8126,3182;
PA 8120,3182;
PA 8116,3180;
PA 8113,3177;
PA 8111,3172;
PA 8108,3162;
PA 8106,3157;
PA 8104,3155;
PA 8099,3153;
PA 8094,3153;
PA 8089,3155;
PA 8087,3157;
PA 8085,3162;
PA 8085,3174;
PA 8087,3182;
PU;PA 8131,3233;
PD;PA 8133,3231;
PA 8136,3223;
PA 8136,3218;
PA 8133,3211;
PA 8128,3206;
PA 8123,3204;
PA 8113,3202;
PA 8106,3202;
PA 8097,3204;
PA 8092,3206;
PA 8087,3211;
PA 8085,3218;
PA 8085,3223;
PA 8087,3231;
PA 8089,3233;
PU;PA 8136,3255;
PD;PA 8085,3255;
PU;PA 8136,3284;
PD;PA 8106,3262;
PU;PA 8085,3284;
PD;PA 8113,3255;
PU;PA 8049,3368;
PD;PA 8049,3402;
PA 8100,3381;
PU;PA 8010,3335;
PD;PA 8010,3437;
PU;PA 7983,3163;
PD;PA 8034,3180;
PA 7983,3197;
PU;PA 8034,3236;
PD;PA 7983,3236;
PU;PA 8031,3236;
PD;PA 8034,3232;
PA 8034,3221;
PA 8031,3216;
PA 8029,3214;
PA 8023,3212;
PA 8009,3212;
PA 8004,3214;
PA 8002,3216;
PA 7999,3221;
PA 7999,3232;
PA 8002,3236;
PU;PA 8034,3282;
PD;PA 7983,3282;
PU;PA 8031,3282;
PD;PA 8034,3278;
PA 8034,3267;
PA 8031,3262;
PA 8029,3260;
PA 8023,3258;
PA 8009,3258;
PA 8004,3260;
PA 8002,3262;
PA 7999,3267;
PA 7999,3278;
PA 8002,3282;
PU;PA 7968,3381;
PD;PA 7966,3376;
PA 7963,3373;
PA 7959,3371;
PA 7956,3371;
PA 7951,3373;
PA 7949,3376;
PA 7947,3381;
PA 7947,3391;
PA 7949,3395;
PA 7951,3398;
PA 7956,3400;
PA 7959,3400;
PA 7963,3398;
PA 7966,3395;
PA 7968,3391;
PA 7968,3381;
PA 7970,3376;
PA 7973,3373;
PA 7979,3371;
PA 7988,3371;
PA 7993,3373;
PA 7995,3376;
PA 7998,3381;
PA 7998,3391;
PA 7995,3395;
PA 7993,3398;
PA 7988,3400;
PA 7979,3400;
PA 7973,3398;
PA 7970,3395;
PA 7968,3391;
PU;PA 8355,2804;
PD;PA 8355,2763;
PA 8357,2758;
PA 8360,2756;
PA 8364,2753;
PA 8375,2753;
PA 8380,2756;
PA 8382,2758;
PA 8384,2763;
PA 8384,2804;
PU;PA 8435,2753;
PD;PA 8406,2753;
PU;PA 8420,2753;
PD;PA 8420,2804;
PA 8415,2797;
PA 8410,2792;
PA 8406,2790;
PU;PA 8452,2804;
PD;PA 8486,2804;
PA 8464,2753;
PU;PA 8354,3416;
PD;PA 8345,3416;
PA 8340,3414;
PA 8338,3412;
PA 8333,3404;
PA 8331,3395;
PA 8331,3376;
PA 8333,3370;
PA 8335,3368;
PA 8340,3365;
PA 8350,3365;
PA 8354,3368;
PA 8357,3370;
PA 8359,3376;
PA 8359,3388;
PA 8357,3393;
PA 8354,3395;
PA 8350,3397;
PA 8340,3397;
PA 8335,3395;
PA 8333,3393;
PA 8331,3388;
PU;PA 8380,3368;
PD;PA 8387,3365;
PA 8399,3365;
PA 8403,3368;
PA 8406,3370;
PA 8408,3376;
PA 8408,3381;
PA 8406,3385;
PA 8403,3388;
PA 8399,3390;
PA 8389,3393;
PA 8384,3395;
PA 8382,3397;
PA 8380,3402;
PA 8380,3407;
PA 8382,3412;
PA 8384,3414;
PA 8389,3416;
PA 8401,3416;
PA 8408,3414;
PU;PA 8429,3412;
PD;PA 8431,3414;
PA 8436,3416;
PA 8448,3416;
PA 8452,3414;
PA 8455,3412;
PA 8457,3407;
PA 8457,3402;
PA 8455,3395;
PA 8426,3365;
PA 8457,3365;
PU;PA 8506,3365;
PD;PA 8478,3365;
PU;PA 8492,3365;
PD;PA 8492,3416;
PA 8487,3409;
PA 8482,3404;
PA 8478,3402;
PU;PA 8096,3573;
PD;PA 8099,3583;
PA 8099,3597;
PA 8096,3603;
PA 8093,3606;
PA 8088,3609;
PA 8082,3609;
PA 8076,3606;
PA 8072,3603;
PA 8070,3597;
PA 8067,3586;
PA 8064,3580;
PA 8061,3577;
PA 8055,3573;
PA 8050,3573;
PA 8044,3577;
PA 8041,3580;
PA 8038,3586;
PA 8038,3600;
PA 8041,3609;
PU;PA 8093,3670;
PD;PA 8096,3667;
PA 8099,3658;
PA 8099,3652;
PA 8096,3644;
PA 8091,3638;
PA 8085,3635;
PA 8072,3632;
PA 8064,3632;
PA 8052,3635;
PA 8047,3638;
PA 8041,3644;
PA 8038,3652;
PA 8038,3658;
PA 8041,3667;
PA 8044,3670;
PU;PA 8099,3696;
PD;PA 8038,3696;
PU;PA 8099,3732;
PD;PA 8064,3705;
PU;PA 8038,3732;
PD;PA 8072,3696;
PU;PA 8198,3570;
PD;PA 8201,3580;
PA 8201,3594;
PA 8198,3600;
PA 8195,3603;
PA 8190,3606;
PA 8184,3606;
PA 8178,3603;
PA 8175,3600;
PA 8172,3594;
PA 8169,3583;
PA 8166,3577;
PA 8163,3573;
PA 8157,3570;
PA 8152,3570;
PA 8146,3573;
PA 8143,3577;
PA 8140,3583;
PA 8140,3597;
PA 8143,3606;
PU;PA 8201,3632;
PD;PA 8140,3632;
PA 8140,3647;
PA 8143,3655;
PA 8149,3661;
PA 8154,3664;
PA 8166,3667;
PA 8175,3667;
PA 8187,3664;
PA 8193,3661;
PA 8198,3655;
PA 8201,3647;
PA 8201,3632;
PU;PA 8140,3705;
PD;PA 8140,3716;
PA 8143,3722;
PA 8149,3729;
PA 8160,3731;
PA 8181,3731;
PA 8193,3729;
PA 8198,3722;
PA 8201,3716;
PA 8201,3705;
PA 8198,3699;
PA 8193,3693;
PA 8181,3690;
PA 8160,3690;
PA 8149,3693;
PA 8143,3699;
PA 8140,3705;
PU;PA 8338,3523;
PD;PA 8341,3520;
PA 8344,3511;
PA 8344,3505;
PA 8341,3497;
PA 8336,3491;
PA 8330,3488;
PA 8317,3485;
PA 8309,3485;
PA 8297,3488;
PA 8292,3491;
PA 8286,3497;
PA 8283,3505;
PA 8283,3511;
PA 8286,3520;
PA 8289,3523;
PU;PA 8341,3546;
PD;PA 8344,3555;
PA 8344,3569;
PA 8341,3576;
PA 8338,3579;
PA 8333,3582;
PA 8327,3582;
PA 8320,3579;
PA 8317,3576;
PA 8315,3569;
PA 8312,3558;
PA 8309,3552;
PA 8306,3549;
PA 8300,3546;
PA 8295,3546;
PA 8289,3549;
PA 8286,3552;
PA 8283,3558;
PA 8283,3572;
PA 8286,3582;
PU;PA 8338,3607;
PD;PA 8341,3610;
PA 8344,3607;
PA 8341,3604;
PA 8338,3607;
PA 8344,3607;
PU;PA 8327,3634;
PD;PA 8327,3663;
PU;PA 8344,3629;
PD;PA 8283,3649;
PA 8344,3669;
PU;PA 8303,3715;
PD;PA 8344,3715;
PU;PA 8280,3701;
PD;PA 8323,3686;
PA 8323,3724;
PU;PA 8316,3437;
PD;PA 8371,3467;
PA 8371,3756;
PA 8316,3756;
PA 8261,3756;
PA 8261,3467;
PA 8316,3437;
PU;PA 7567,3084;
PD;PA 7575,3082;
PA 7577,3079;
PA 7579,3074;
PA 7579,3067;
PA 7577,3063;
PA 7575,3060;
PA 7569,3058;
PA 7551,3058;
PA 7551,3106;
PA 7567,3106;
PA 7571,3104;
PA 7575,3102;
PA 7577,3097;
PA 7577,3093;
PA 7575,3088;
PA 7571,3086;
PA 7567,3084;
PA 7551,3084;
PU;PA 7597,3072;
PD;PA 7619,3072;
PU;PA 7592,3058;
PD;PA 7608,3106;
PA 7625,3058;
PU;PA 7660,3091;
PD;PA 7660,3058;
PU;PA 7649,3108;
PD;PA 7638,3074;
PA 7667,3074;
PU;PA 7704,3080;
PD;PA 7681,3122;
PA 7516,3122;
PA 7516,3080;
PA 7516,3037;
PA 7681,3037;
PA 7704,3080;
PU;PA 8061,2722;
PD;PA 8112,2671;
PA 8163,2722;
PA 8061,2722;
PU;PA 8684,3488;
EA 8765,3182;
PU;PA 8725,3488;
PD;PA 8725,3590;
PU;PA 8725,3182;
PD;PA 8725,3080;
PU;PA 8821,3308;
PD;PA 8802,3295;
PU;PA 8821,3286;
PD;PA 8781,3286;
PA 8781,3301;
PA 8783,3305;
PA 8785,3306;
PA 8789,3308;
PA 8794,3308;
PA 8798,3306;
PA 8800,3305;
PA 8802,3301;
PA 8802,3286;
PU;PA 8781,3322;
PD;PA 8781,3347;
PA 8796,3334;
PA 8796,3340;
PA 8798,3344;
PA 8800,3346;
PA 8804,3347;
PA 8813,3347;
PA 8817,3346;
PA 8819,3344;
PA 8821,3340;
PA 8821,3328;
PA 8819,3324;
PA 8817,3322;
PU;PA 8781,3361;
PD;PA 8781,3388;
PA 8821,3370;
PU;PA 8747,3307;
PD;PA 8747,3285;
PU;PA 8747,3296;
PD;PA 8706,3296;
PA 8712,3292;
PA 8716,3288;
PA 8718,3285;
PU;PA 8706,3333;
PD;PA 8706,3337;
PA 8708,3341;
PA 8710,3343;
PA 8714,3345;
PA 8721,3346;
PA 8732,3346;
PA 8739,3345;
PA 8743,3343;
PA 8745,3341;
PA 8747,3337;
PA 8747,3333;
PA 8745,3329;
PA 8743,3327;
PA 8739,3326;
PA 8732,3323;
PA 8721,3323;
PA 8714,3326;
PA 8710,3327;
PA 8708,3329;
PA 8706,3333;
PU;PA 8747,3364;
PD;PA 8706,3364;
PU;PA 8747,3387;
PD;PA 8723,3369;
PU;PA 8706,3387;
PD;PA 8730,3364;
PU;PA 9388,3120;
EA 9082,3039;
PU;PA 9388,3080;
PD;PA 9490,3080;
PU;PA 9082,3080;
PD;PA 8980,3080;
PU;PA 9208,2983;
PD;PA 9195,3002;
PU;PA 9186,2983;
PD;PA 9186,3023;
PA 9201,3023;
PA 9205,3021;
PA 9206,3019;
PA 9208,3015;
PA 9208,3010;
PA 9206,3006;
PA 9205,3004;
PA 9201,3002;
PA 9186,3002;
PU;PA 9244,3010;
PD;PA 9244,2983;
PU;PA 9234,3026;
PD;PA 9225,2996;
PA 9249,2996;
PU;PA 9286,2983;
PD;PA 9263,2983;
PU;PA 9275,2983;
PD;PA 9275,3023;
PA 9270,3017;
PA 9266,3013;
PA 9263,3011;
PU;PA 9207,3057;
PD;PA 9185,3057;
PU;PA 9196,3057;
PD;PA 9196,3098;
PA 9192,3092;
PA 9188,3088;
PA 9185,3086;
PU;PA 9233,3098;
PD;PA 9237,3098;
PA 9241,3096;
PA 9243,3094;
PA 9245,3090;
PA 9246,3083;
PA 9246,3072;
PA 9245,3065;
PA 9243,3061;
PA 9241,3059;
PA 9237,3057;
PA 9233,3057;
PA 9229,3059;
PA 9227,3061;
PA 9226,3065;
PA 9223,3072;
PA 9223,3083;
PA 9226,3090;
PA 9227,3094;
PA 9229,3096;
PA 9233,3098;
PU;PA 9264,3057;
PD;PA 9264,3098;
PU;PA 9287,3057;
PD;PA 9269,3081;
PU;PA 9287,3098;
PD;PA 9264,3074;
PU;PA 10204,5427;
PD;PA 9796,5631;
PA 10204,5835;
PA 10204,5427;
PU;PA 10102,5478;
PD;PA 10102,5222;
PU;PA 10080,5502;
PD;PA 10120,5515;
PA 10080,5529;
PU;PA 10105,5543;
PD;PA 10105,5573;
PU;PA 10120,5558;
PD;PA 10090,5558;
PU;PA 10062,5358;
PD;PA 10090,5358;
PU;PA 10047,5348;
PD;PA 10077,5339;
PA 10077,5363;
PU;PA 10102,5784;
PD;PA 10102,6039;
PU;PA 10080,5682;
PD;PA 10120,5695;
PA 10080,5708;
PU;PA 10105,5722;
PD;PA 10105,5753;
PU;PA 10090,5903;
PD;PA 10090,5881;
PU;PA 10090,5892;
PD;PA 10049,5892;
PA 10055,5888;
PA 10059,5884;
PA 10061,5881;
PU;PA 10090,5942;
PD;PA 10090,5919;
PU;PA 10090,5931;
PD;PA 10049,5931;
PA 10055,5927;
PA 10059,5922;
PA 10061,5919;
PU;PA 9796,5631;
PD;PA 9490,5631;
PU;PA 9654,5643;
PD;PA 9632,5643;
PU;PA 9643,5643;
PD;PA 9643,5684;
PA 9639,5678;
PA 9635,5673;
PA 9632,5671;
PU;PA 10204,5733;
PD;PA 10510,5733;
PU;PA 10143,5730;
PD;PA 10173,5730;
PU;PA 10346,5782;
PD;PA 10348,5784;
PA 10351,5786;
PA 10361,5786;
PA 10365,5784;
PA 10367,5782;
PA 10368,5778;
PA 10368,5773;
PA 10367,5768;
PA 10344,5745;
PA 10368,5745;
PU;PA 10204,5529;
PD;PA 10510,5529;
PU;PA 10143,5526;
PD;PA 10173,5526;
PU;PA 10158,5510;
PD;PA 10158,5541;
PU;PA 10344,5582;
PD;PA 10368,5582;
PA 10355,5566;
PA 10361,5566;
PA 10365,5564;
PA 10367,5562;
PA 10368,5558;
PA 10368,5549;
PA 10367,5545;
PA 10365,5543;
PA 10361,5541;
PA 10349,5541;
PA 10346,5543;
PA 10344,5545;
PU;PA 9847,5457;
PD;PA 9847,5407;
PA 9850,5402;
PA 9853,5399;
PA 9859,5396;
PA 9870,5396;
PA 9877,5399;
PA 9880,5402;
PA 9883,5407;
PA 9883,5457;
PU;PA 9944,5396;
PD;PA 9908,5396;
PU;PA 9927,5396;
PD;PA 9927,5457;
PA 9920,5448;
PA 9914,5443;
PA 9908,5440;
PU;PA 9979,5431;
PD;PA 9972,5434;
PA 9969,5437;
PA 9966,5443;
PA 9966,5445;
PA 9969,5451;
PA 9972,5454;
PA 9979,5457;
PA 9990,5457;
PA 9996,5454;
PA 9999,5451;
PA 10002,5445;
PA 10002,5443;
PA 9999,5437;
PA 9996,5434;
PA 9990,5431;
PA 9979,5431;
PA 9972,5428;
PA 9969,5424;
PA 9966,5419;
PA 9966,5407;
PA 9969,5402;
PA 9972,5399;
PA 9979,5396;
PA 9990,5396;
PA 9996,5399;
PA 9999,5402;
PA 10002,5407;
PA 10002,5419;
PA 9999,5424;
PA 9996,5428;
PA 9990,5431;
PU;PA 10025,5413;
PD;PA 10054,5413;
PU;PA 10019,5396;
PD;PA 10040,5457;
PA 10060,5396;
PU;PA 9739,5859;
PD;PA 9767,5859;
PU;PA 9753,5808;
PD;PA 9753,5859;
PU;PA 9809,5808;
PD;PA 9785,5808;
PA 9785,5859;
PU;PA 9835,5859;
PD;PA 9840,5859;
PA 9845,5857;
PA 9847,5855;
PA 9850,5850;
PA 9852,5840;
PA 9852,5828;
PA 9850,5818;
PA 9847,5813;
PA 9845,5811;
PA 9840,5808;
PA 9835,5808;
PA 9831,5811;
PA 9828,5813;
PA 9826,5818;
PA 9823,5828;
PA 9823,5840;
PA 9826,5850;
PA 9828,5855;
PA 9831,5857;
PA 9835,5859;
PU;PA 9882,5838;
PD;PA 9877,5840;
PA 9875,5843;
PA 9872,5847;
PA 9872,5850;
PA 9875,5855;
PA 9877,5857;
PA 9882,5859;
PA 9892,5859;
PA 9896,5857;
PA 9899,5855;
PA 9901,5850;
PA 9901,5847;
PA 9899,5843;
PA 9896,5840;
PA 9892,5838;
PA 9882,5838;
PA 9877,5836;
PA 9875,5833;
PA 9872,5828;
PA 9872,5818;
PA 9875,5813;
PA 9877,5811;
PA 9882,5808;
PA 9892,5808;
PA 9896,5811;
PA 9899,5813;
PA 9901,5818;
PA 9901,5828;
PA 9899,5833;
PA 9896,5836;
PA 9892,5838;
PU;PA 9945,5843;
PD;PA 9945,5808;
PU;PA 9933,5862;
PD;PA 9921,5826;
PA 9952,5826;
PU;PA 10918,3018;
EA 10612,2937;
PU;PA 10918,2978;
PD;PA 11020,2978;
PU;PA 10612,2978;
PD;PA 10510,2978;
PU;PA 10739,2881;
PD;PA 10726,2900;
PU;PA 10716,2881;
PD;PA 10716,2921;
PA 10732,2921;
PA 10736,2919;
PA 10737,2917;
PA 10739,2913;
PA 10739,2908;
PA 10737,2904;
PA 10736,2902;
PA 10732,2900;
PA 10716,2900;
PU;PA 10775,2908;
PD;PA 10775,2881;
PU;PA 10764,2923;
PD;PA 10755,2894;
PA 10780,2894;
PU;PA 10801,2904;
PD;PA 10797,2906;
PA 10796,2908;
PA 10794,2911;
PA 10794,2913;
PA 10796,2917;
PA 10797,2919;
PA 10801,2921;
PA 10809,2921;
PA 10813,2919;
PA 10815,2917;
PA 10816,2913;
PA 10816,2911;
PA 10815,2908;
PA 10813,2906;
PA 10809,2904;
PA 10801,2904;
PA 10797,2902;
PA 10796,2900;
PA 10794,2896;
PA 10794,2889;
PA 10796,2885;
PA 10797,2883;
PA 10801,2881;
PA 10809,2881;
PA 10813,2883;
PA 10815,2885;
PA 10816,2889;
PA 10816,2896;
PA 10815,2900;
PA 10813,2902;
PA 10809,2904;
PU;PA 10732,2983;
PD;PA 10732,2955;
PU;PA 10721,2998;
PD;PA 10712,2968;
PA 10737,2968;
PU;PA 10753,2955;
PD;PA 10753,2996;
PA 10766,2966;
PA 10780,2996;
PA 10780,2955;
PU;PA 10796,2996;
PD;PA 10822,2996;
PA 10805,2955;
PU;PA 10918,2814;
EA 10612,2733;
PU;PA 10918,2773;
PD;PA 11020,2773;
PU;PA 10612,2773;
PD;PA 10510,2773;
PU;PA 10739,2677;
PD;PA 10726,2696;
PU;PA 10716,2677;
PD;PA 10716,2717;
PA 10732,2717;
PA 10736,2715;
PA 10737,2713;
PA 10739,2709;
PA 10739,2704;
PA 10737,2700;
PA 10736,2698;
PA 10732,2696;
PA 10716,2696;
PU;PA 10775,2704;
PD;PA 10775,2677;
PU;PA 10764,2719;
PD;PA 10755,2690;
PA 10780,2690;
PU;PA 10797,2677;
PD;PA 10805,2677;
PA 10809,2679;
PA 10811,2681;
PA 10815,2686;
PA 10816,2694;
PA 10816,2709;
PA 10815,2713;
PA 10813,2715;
PA 10809,2717;
PA 10801,2717;
PA 10797,2715;
PA 10796,2713;
PA 10794,2709;
PA 10794,2700;
PA 10796,2696;
PA 10797,2694;
PA 10801,2692;
PA 10809,2692;
PA 10813,2694;
PA 10815,2696;
PA 10816,2700;
PU;PA 10754,2751;
PD;PA 10732,2751;
PU;PA 10743,2751;
PD;PA 10743,2792;
PA 10739,2786;
PA 10735,2782;
PA 10732,2780;
PU;PA 10772,2751;
PD;PA 10772,2792;
PA 10786,2762;
PA 10799,2792;
PA 10799,2751;
PU;PA 11020,2722;
PD;PA 11071,2773;
PA 11020,2824;
PA 11020,2722;
PU;PA 11068,2967;
PD;PA 11098,2967;
PU;PA 11063,2950;
PD;PA 11084,3011;
PA 11104,2950;
PU;PA 11150,2991;
PD;PA 11150,2950;
PU;PA 11136,3014;
PD;PA 11120,2970;
PA 11159,2970;
PU;PA 11020,2978;
PD;PA 11051,2922;
PA 11191,2922;
PA 11191,2978;
PA 11191,3033;
PA 11051,3033;
PA 11020,2978;
PU;PA 9929,3406;
PD;PA 9929,3569;
PU;PA 9867,3406;
PD;PA 9867,3569;
PU;PA 9867,3488;
PD;PA 9694,3488;
PU;PA 9929,3488;
PD;PA 10102,3488;
PU;PA 9807,3520;
PD;PA 9809,3518;
PA 9811,3513;
PA 9811,3509;
PA 9809,3503;
PA 9805,3499;
PA 9802,3498;
PA 9794,3496;
PA 9788,3496;
PA 9781,3498;
PA 9777,3499;
PA 9772,3503;
PA 9770,3509;
PA 9770,3513;
PA 9772,3518;
PA 9775,3520;
PU;PA 9784,3556;
PD;PA 9811,3556;
PU;PA 9768,3546;
PD;PA 9798,3537;
PA 9798,3561;
PU;PA 9811,3598;
PD;PA 9811,3576;
PU;PA 9811,3587;
PD;PA 9770,3587;
PA 9777,3583;
PA 9781,3579;
PA 9783,3576;
PU;PA 9959,3512;
PD;PA 9959,3516;
PA 9961,3520;
PA 9963,3522;
PA 9967,3524;
PA 9975,3526;
PA 9985,3526;
PA 9992,3524;
PA 9996,3522;
PA 9998,3520;
PA 10000,3516;
PA 10000,3512;
PA 9998,3508;
PA 9996,3506;
PA 9992,3505;
PA 9985,3503;
PA 9975,3503;
PA 9967,3505;
PA 9963,3506;
PA 9961,3508;
PA 9959,3512;
PU;PA 9996,3544;
PD;PA 9998,3545;
PA 10000,3544;
PA 9998,3542;
PA 9996,3544;
PA 10000,3544;
PU;PA 10000,3584;
PD;PA 10000,3561;
PU;PA 10000,3572;
PD;PA 9959,3572;
PA 9965,3568;
PA 9969,3564;
PA 9971,3561;
PU;PA 9972,3619;
PD;PA 10000,3619;
PU;PA 9972,3602;
PD;PA 9994,3602;
PA 9998,3603;
PA 10000,3607;
PA 10000,3613;
PA 9998,3617;
PA 9996,3619;
PU;PA 9929,2437;
PD;PA 9929,2600;
PU;PA 9867,2437;
PD;PA 9867,2600;
PU;PA 9867,2518;
PD;PA 9694,2518;
PU;PA 9929,2518;
PD;PA 10102,2518;
PU;PA 9807,2551;
PD;PA 9809,2549;
PA 9811,2544;
PA 9811,2540;
PA 9809,2534;
PA 9805,2530;
PA 9802,2529;
PA 9794,2527;
PA 9788,2527;
PA 9781,2529;
PA 9777,2530;
PA 9772,2534;
PA 9770,2540;
PA 9770,2544;
PA 9772,2549;
PA 9775,2551;
PU;PA 9784,2587;
PD;PA 9811,2587;
PU;PA 9768,2577;
PD;PA 9798,2567;
PA 9798,2592;
PU;PA 9775,2606;
PD;PA 9772,2608;
PA 9770,2611;
PA 9770,2621;
PA 9772,2626;
PA 9775,2628;
PA 9779,2629;
PA 9783,2629;
PA 9788,2628;
PA 9811,2604;
PA 9811,2629;
PU;PA 9959,2543;
PD;PA 9959,2547;
PA 9961,2551;
PA 9963,2553;
PA 9967,2555;
PA 9975,2556;
PA 9985,2556;
PA 9992,2555;
PA 9996,2553;
PA 9998,2551;
PA 10000,2547;
PA 10000,2543;
PA 9998,2539;
PA 9996,2537;
PA 9992,2536;
PA 9985,2534;
PA 9975,2534;
PA 9967,2536;
PA 9963,2537;
PA 9961,2539;
PA 9959,2543;
PU;PA 9996,2574;
PD;PA 9998,2576;
PA 10000,2574;
PA 9998,2572;
PA 9996,2574;
PA 10000,2574;
PU;PA 10000,2614;
PD;PA 10000,2592;
PU;PA 10000,2603;
PD;PA 9959,2603;
PA 9965,2599;
PA 9969,2595;
PA 9971,2592;
PU;PA 9972,2650;
PD;PA 10000,2650;
PU;PA 9972,2633;
PD;PA 9994,2633;
PA 9998,2634;
PA 10000,2638;
PA 10000,2644;
PA 9998,2648;
PA 9996,2650;
PU;PA 9694,3539;
PD;PA 9643,3488;
PA 9694,3437;
PA 9694,3539;
PU;PA 9694,2569;
PD;PA 9643,2518;
PA 9694,2467;
PA 9694,2569;
PU;PA 6959,4539;
PD;PA 6959,4376;
PU;PA 7020,4539;
PD;PA 7020,4376;
PU;PA 7020,4457;
PD;PA 7194,4457;
PU;PA 6959,4457;
PD;PA 6786,4457;
PU;PA 7109,4371;
PD;PA 7111,4369;
PA 7113,4364;
PA 7113,4360;
PA 7111,4354;
PA 7107,4350;
PA 7104,4349;
PA 7096,4347;
PA 7090,4347;
PA 7083,4349;
PA 7079,4350;
PA 7075,4354;
PA 7072,4360;
PA 7072,4364;
PA 7075,4369;
PA 7077,4371;
PU;PA 7072,4386;
PD;PA 7072,4410;
PA 7088,4397;
PA 7088,4403;
PA 7090,4407;
PA 7092,4409;
PA 7096,4410;
PA 7105,4410;
PA 7109,4409;
PA 7111,4407;
PA 7113,4403;
PA 7113,4391;
PA 7111,4388;
PA 7109,4386;
PU;PA 7090,4434;
PD;PA 7088,4430;
PA 7086,4429;
PA 7083,4427;
PA 7081,4427;
PA 7077,4429;
PA 7075,4430;
PA 7072,4434;
PA 7072,4442;
PA 7075,4446;
PA 7077,4448;
PA 7081,4449;
PA 7083,4449;
PA 7086,4448;
PA 7088,4446;
PA 7090,4442;
PA 7090,4434;
PA 7092,4430;
PA 7094,4429;
PA 7098,4427;
PA 7105,4427;
PA 7109,4429;
PA 7111,4430;
PA 7113,4434;
PA 7113,4442;
PA 7111,4446;
PA 7109,4448;
PA 7105,4449;
PA 7098,4449;
PA 7094,4448;
PA 7092,4446;
PA 7090,4442;
PU;PA 6884,4336;
PD;PA 6884,4340;
PA 6886,4344;
PA 6888,4346;
PA 6892,4348;
PA 6899,4349;
PA 6909,4349;
PA 6916,4348;
PA 6920,4346;
PA 6922,4344;
PA 6925,4340;
PA 6925,4336;
PA 6922,4332;
PA 6920,4330;
PA 6916,4329;
PA 6909,4327;
PA 6899,4327;
PA 6892,4329;
PA 6888,4330;
PA 6886,4332;
PA 6884,4336;
PU;PA 6920,4367;
PD;PA 6922,4368;
PA 6925,4367;
PA 6922,4365;
PA 6920,4367;
PA 6925,4367;
PU;PA 6925,4407;
PD;PA 6925,4385;
PU;PA 6925,4396;
PD;PA 6884,4396;
PA 6890,4392;
PA 6894,4388;
PA 6896,4385;
PU;PA 6897,4443;
PD;PA 6925,4443;
PU;PA 6897,4426;
PD;PA 6918,4426;
PA 6922,4427;
PA 6925,4431;
PA 6925,4437;
PA 6922,4441;
PA 6920,4443;
PU;PA 7194,4406;
PD;PA 7245,4457;
PA 7194,4508;
PA 7194,4406;
PU;PA 6959,3722;
PD;PA 6959,3559;
PU;PA 7020,3722;
PD;PA 7020,3559;
PU;PA 7020,3641;
PD;PA 7194,3641;
PU;PA 6959,3641;
PD;PA 6786,3641;
PU;PA 7109,3555;
PD;PA 7111,3553;
PA 7113,3548;
PA 7113,3544;
PA 7111,3538;
PA 7107,3534;
PA 7104,3533;
PA 7096,3531;
PA 7090,3531;
PA 7083,3533;
PA 7079,3534;
PA 7075,3538;
PA 7072,3544;
PA 7072,3548;
PA 7075,3553;
PA 7077,3555;
PU;PA 7072,3569;
PD;PA 7072,3594;
PA 7088,3581;
PA 7088,3587;
PA 7090,3591;
PA 7092,3593;
PA 7096,3594;
PA 7105,3594;
PA 7109,3593;
PA 7111,3591;
PA 7113,3587;
PA 7113,3574;
PA 7111,3571;
PA 7109,3569;
PU;PA 7113,3613;
PD;PA 7113,3621;
PA 7111,3626;
PA 7109,3628;
PA 7104,3632;
PA 7096,3633;
PA 7081,3633;
PA 7077,3632;
PA 7075,3630;
PA 7072,3626;
PA 7072,3617;
PA 7075,3613;
PA 7077,3612;
PA 7081,3610;
PA 7090,3610;
PA 7094,3612;
PA 7096,3613;
PA 7098,3617;
PA 7098,3626;
PA 7096,3630;
PA 7094,3632;
PA 7090,3633;
PU;PA 6884,3519;
PD;PA 6884,3523;
PA 6886,3528;
PA 6888,3530;
PA 6892,3532;
PA 6899,3533;
PA 6909,3533;
PA 6916,3532;
PA 6920,3530;
PA 6922,3528;
PA 6925,3523;
PA 6925,3519;
PA 6922,3515;
PA 6920,3513;
PA 6916,3512;
PA 6909,3510;
PA 6899,3510;
PA 6892,3512;
PA 6888,3513;
PA 6886,3515;
PA 6884,3519;
PU;PA 6920,3551;
PD;PA 6922,3552;
PA 6925,3551;
PA 6922,3549;
PA 6920,3551;
PA 6925,3551;
PU;PA 6925,3591;
PD;PA 6925,3568;
PU;PA 6925,3580;
PD;PA 6884,3580;
PA 6890,3576;
PA 6894,3571;
PA 6896,3568;
PU;PA 6897,3627;
PD;PA 6925,3627;
PU;PA 6897,3609;
PD;PA 6918,3609;
PA 6922,3610;
PA 6925,3614;
PA 6925,3620;
PA 6922,3624;
PA 6920,3627;
PU;PA 7194,3590;
PD;PA 7245,3641;
PA 7194,3692;
PA 7194,3590;
PU;PA 6138,7610;
PD;PA 6167,7610;
PU;PA 6133,7593;
PD;PA 6153,7654;
PA 6173,7593;
PU;PA 6185,7654;
PD;PA 6205,7593;
PA 6226,7654;
PU;PA 6271,7593;
PD;PA 6271,7654;
PU;PA 6271,7596;
PD;PA 6265,7593;
PA 6254,7593;
PA 6248,7596;
PA 6245,7599;
PA 6242,7604;
PA 6242,7621;
PA 6245,7628;
PA 6248,7631;
PA 6254,7634;
PA 6265,7634;
PA 6271,7631;
PU;PA 6327,7593;
PD;PA 6327,7654;
PU;PA 6327,7596;
PD;PA 6320,7593;
PA 6309,7593;
PA 6303,7596;
PA 6300,7599;
PA 6297,7604;
PA 6297,7621;
PA 6300,7628;
PA 6303,7631;
PA 6309,7634;
PA 6320,7634;
PA 6327,7631;
PU;PA 6378,7620;
PD;PA 6347,7676;
PA 6103,7676;
PA 6103,7620;
PA 6103,7565;
PA 6347,7565;
PA 6378,7620;
PU;PA 7000,7059;
EA 7082,7365;
PU;PA 7041,7059;
PD;PA 7041,6957;
PU;PA 7041,7365;
PD;PA 7041,7467;
PU;PA 6980,7109;
PD;PA 6960,7096;
PU;PA 6980,7087;
PD;PA 6939,7087;
PA 6939,7102;
PA 6941,7106;
PA 6943,7107;
PA 6947,7109;
PA 6952,7109;
PA 6956,7107;
PA 6958,7106;
PA 6960,7102;
PA 6960,7087;
PU;PA 6939,7123;
PD;PA 6939,7148;
PA 6954,7135;
PA 6954,7141;
PA 6956,7145;
PA 6958,7147;
PA 6962,7148;
PA 6971,7148;
PA 6976,7147;
PA 6978,7145;
PA 6980,7141;
PA 6980,7129;
PA 6978,7126;
PA 6976,7123;
PU;PA 6939,7162;
PD;PA 6939,7187;
PA 6954,7173;
PA 6954,7180;
PA 6956,7184;
PA 6958,7186;
PA 6962,7187;
PA 6971,7187;
PA 6976,7186;
PA 6978,7184;
PA 6980,7180;
PA 6980,7167;
PA 6978,7164;
PA 6976,7162;
PU;PA 7063,7183;
PD;PA 7063,7160;
PU;PA 7063,7171;
PD;PA 7022,7171;
PA 7029,7167;
PA 7033,7163;
PA 7035,7160;
PU;PA 7022,7208;
PD;PA 7022,7212;
PA 7025,7216;
PA 7027,7218;
PA 7031,7220;
PA 7038,7221;
PA 7048,7221;
PA 7055,7220;
PA 7059,7218;
PA 7061,7216;
PA 7063,7212;
PA 7063,7208;
PA 7061,7204;
PA 7059,7202;
PA 7055,7201;
PA 7048,7199;
PA 7038,7199;
PA 7031,7201;
PA 7027,7202;
PA 7025,7204;
PA 7022,7208;
PU;PA 7063,7240;
PD;PA 7022,7240;
PU;PA 7063,7262;
PD;PA 7040,7245;
PU;PA 7022,7262;
PD;PA 7046,7240;
PU;PA 6837,7427;
EA 6531,7508;
PU;PA 6837,7467;
PD;PA 6939,7467;
PU;PA 6531,7467;
PD;PA 6429,7467;
PU;PA 6657,7528;
PD;PA 6644,7547;
PU;PA 6635,7528;
PD;PA 6635,7568;
PA 6650,7568;
PA 6654,7566;
PA 6655,7564;
PA 6657,7560;
PA 6657,7555;
PA 6655,7551;
PA 6654,7549;
PA 6650,7547;
PA 6635,7547;
PU;PA 6671,7568;
PD;PA 6696,7568;
PA 6683,7553;
PA 6689,7553;
PA 6693,7551;
PA 6695,7549;
PA 6696,7545;
PA 6696,7536;
PA 6695,7532;
PA 6693,7530;
PA 6689,7528;
PA 6677,7528;
PA 6673,7530;
PA 6671,7532;
PU;PA 6712,7564;
PD;PA 6714,7566;
PA 6717,7568;
PA 6728,7568;
PA 6732,7566;
PA 6734,7564;
PA 6735,7560;
PA 6735,7556;
PA 6734,7551;
PA 6710,7528;
PA 6735,7528;
PU;PA 6656,7453;
PD;PA 6634,7453;
PU;PA 6645,7453;
PD;PA 6645,7494;
PA 6641,7488;
PA 6637,7484;
PA 6634,7482;
PU;PA 6682,7494;
PD;PA 6686,7494;
PA 6690,7492;
PA 6692,7490;
PA 6694,7486;
PA 6695,7479;
PA 6695,7468;
PA 6694,7461;
PA 6692,7457;
PA 6690,7455;
PA 6686,7453;
PA 6682,7453;
PA 6678,7455;
PA 6676,7457;
PA 6675,7461;
PA 6672,7468;
PA 6672,7479;
PA 6675,7486;
PA 6676,7490;
PA 6678,7492;
PA 6682,7494;
PU;PA 6713,7453;
PD;PA 6713,7494;
PU;PA 6736,7453;
PD;PA 6718,7477;
PU;PA 6736,7494;
PD;PA 6713,7470;
PU;PA 7092,6957;
PD;PA 7041,6906;
PA 6990,6957;
PA 7092,6957;
PU;PA 7327,7233;
PD;PA 7163,7233;
PU;PA 7327,7294;
PD;PA 7163,7294;
PU;PA 7245,7294;
PD;PA 7245,7467;
PU;PA 7245,7233;
PD;PA 7245,7059;
PU;PA 7261,7354;
PD;PA 7259,7352;
PA 7254,7350;
PA 7250,7350;
PA 7244,7352;
PA 7240,7356;
PA 7239,7359;
PA 7237,7367;
PA 7237,7373;
PA 7239,7381;
PA 7240,7385;
PA 7244,7389;
PA 7250,7391;
PA 7254,7391;
PA 7259,7389;
PA 7261,7387;
PU;PA 7297,7378;
PD;PA 7297,7350;
PU;PA 7287,7393;
PD;PA 7278,7363;
PA 7302,7363;
PU;PA 7326,7391;
PD;PA 7330,7391;
PA 7334,7389;
PA 7336,7387;
PA 7338,7383;
PA 7339,7376;
PA 7339,7365;
PA 7338,7358;
PA 7336,7354;
PA 7334,7352;
PA 7330,7350;
PA 7326,7350;
PA 7321,7352;
PA 7319,7354;
PA 7318,7358;
PA 7316,7365;
PA 7316,7376;
PA 7318,7383;
PA 7319,7387;
PA 7321,7389;
PA 7326,7391;
PU;PA 7122,7202;
PD;PA 7127,7202;
PA 7131,7200;
PA 7133,7198;
PA 7135,7194;
PA 7136,7187;
PA 7136,7177;
PA 7135,7169;
PA 7133,7165;
PA 7131,7163;
PA 7127,7161;
PA 7122,7161;
PA 7118,7163;
PA 7116,7165;
PA 7115,7169;
PA 7113,7177;
PA 7113,7187;
PA 7115,7194;
PA 7116,7198;
PA 7118,7200;
PA 7122,7202;
PU;PA 7154,7165;
PD;PA 7155,7163;
PA 7154,7161;
PA 7152,7163;
PA 7154,7165;
PA 7154,7161;
PU;PA 7194,7161;
PD;PA 7171,7161;
PU;PA 7183,7161;
PD;PA 7183,7202;
PA 7179,7196;
PA 7175,7192;
PA 7171,7190;
PU;PA 7230,7189;
PD;PA 7230,7161;
PU;PA 7212,7189;
PD;PA 7212,7167;
PA 7213,7163;
PA 7217,7161;
PA 7223,7161;
PA 7228,7163;
PA 7230,7165;
PU;PA 7296,7059;
PD;PA 7245,7008;
PA 7194,7059;
PA 7296,7059;
PU;PA 1224,7161;
PD;PA 1837,7161;
PA 2143,6855;
PA 1837,6549;
PA 1224,6549;
PA 1224,7161;
PU;PA 1531,7161;
PD;PA 1531,7314;
PU;PA 1508,7008;
PD;PA 1549,7021;
PA 1508,7035;
PU;PA 1549,7049;
PD;PA 1508,7049;
PA 1508,7058;
PA 1510,7064;
PA 1514,7068;
PA 1518,7069;
PA 1526,7071;
PA 1532,7071;
PA 1540,7069;
PA 1543,7068;
PA 1547,7064;
PA 1549,7058;
PA 1549,7049;
PU;PA 1549,7090;
PD;PA 1508,7090;
PA 1508,7099;
PA 1510,7105;
PA 1514,7109;
PA 1518,7110;
PA 1526,7112;
PA 1532,7112;
PA 1540,7110;
PA 1543,7109;
PA 1547,7105;
PA 1549,7099;
PA 1549,7090;
PU;PA 1518,7249;
PD;PA 1518,7227;
PU;PA 1518,7238;
PD;PA 1478,7238;
PA 1484,7234;
PA 1488,7230;
PA 1490,7227;
PU;PA 1224,6855;
PD;PA 1071,6855;
PU;PA 1298,6841;
PD;PA 1296,6839;
PA 1291,6837;
PA 1287,6837;
PA 1281,6839;
PA 1277,6843;
PA 1276,6846;
PA 1273,6854;
PA 1273,6860;
PA 1276,6867;
PA 1277,6871;
PA 1281,6876;
PA 1287,6878;
PA 1291,6878;
PA 1296,6876;
PA 1298,6873;
PU;PA 1314,6839;
PD;PA 1319,6837;
PA 1330,6837;
PA 1334,6839;
PA 1336,6841;
PA 1337,6845;
PA 1337,6848;
PA 1336,6852;
PA 1334,6854;
PA 1330,6856;
PA 1321,6858;
PA 1317,6860;
PA 1316,6862;
PA 1314,6865;
PA 1314,6869;
PA 1316,6873;
PA 1317,6876;
PA 1321,6878;
PA 1332,6878;
PA 1337,6876;
PU;PA 1265,6885;
PD;PA 1345,6885;
PU;PA 1135,6908;
PD;PA 1159,6908;
PA 1146,6893;
PA 1152,6893;
PA 1156,6891;
PA 1158,6889;
PA 1159,6885;
PA 1159,6876;
PA 1158,6871;
PA 1156,6869;
PA 1152,6867;
PA 1140,6867;
PA 1137,6869;
PA 1135,6871;
PU;PA 1224,6957;
PD;PA 1071,6957;
PU;PA 1273,6941;
PD;PA 1279,6939;
PA 1289,6939;
PA 1293,6941;
PA 1295,6943;
PA 1296,6947;
PA 1296,6950;
PA 1295,6954;
PA 1293,6956;
PA 1289,6958;
PA 1281,6960;
PA 1277,6962;
PA 1276,6964;
PA 1273,6967;
PA 1273,6971;
PA 1276,6976;
PA 1277,6978;
PA 1281,6980;
PA 1291,6980;
PA 1296,6978;
PU;PA 1337,6943;
PD;PA 1335,6941;
PA 1330,6939;
PA 1326,6939;
PA 1319,6941;
PA 1315,6945;
PA 1314,6948;
PA 1312,6956;
PA 1312,6962;
PA 1314,6969;
PA 1315,6973;
PA 1319,6978;
PA 1326,6980;
PA 1330,6980;
PA 1335,6978;
PA 1337,6976;
PU;PA 1355,6939;
PD;PA 1355,6980;
PU;PA 1378,6939;
PD;PA 1360,6962;
PU;PA 1378,6980;
PD;PA 1355,6956;
PU;PA 1156,6997;
PD;PA 1156,6969;
PU;PA 1146,7012;
PD;PA 1137,6983;
PA 1161,6983;
PU;PA 1224,7059;
PD;PA 1071,7059;
PU;PA 1273,7043;
PD;PA 1279,7041;
PA 1289,7041;
PA 1293,7043;
PA 1295,7045;
PA 1296,7049;
PA 1296,7052;
PA 1295,7056;
PA 1293,7058;
PA 1289,7060;
PA 1281,7062;
PA 1277,7064;
PA 1276,7066;
PA 1273,7069;
PA 1273,7073;
PA 1276,7078;
PA 1277,7080;
PA 1281,7082;
PA 1291,7082;
PA 1296,7080;
PU;PA 1314,7041;
PD;PA 1314,7082;
PA 1323,7082;
PA 1330,7080;
PA 1334,7076;
PA 1335,7071;
PA 1337,7064;
PA 1337,7058;
PA 1335,7050;
PA 1334,7047;
PA 1330,7043;
PA 1323,7041;
PA 1314,7041;
PU;PA 1355,7041;
PD;PA 1355,7082;
PU;PA 1158,7112;
PD;PA 1139,7112;
PA 1137,7093;
PA 1139,7095;
PA 1142,7097;
PA 1152,7097;
PA 1156,7095;
PA 1158,7093;
PA 1159,7089;
PA 1159,7080;
PA 1158,7076;
PA 1156,7073;
PA 1152,7071;
PA 1142,7071;
PA 1139,7073;
PA 1137,7076;
PU;PA 1224,6753;
PD;PA 1071,6753;
PU;PA 1295,6735;
PD;PA 1276,6735;
PA 1276,6776;
PU;PA 1308,6735;
PD;PA 1308,6776;
PA 1317,6776;
PA 1323,6773;
PA 1328,6769;
PA 1329,6765;
PA 1331,6758;
PA 1331,6752;
PA 1329,6744;
PA 1328,6741;
PA 1323,6737;
PA 1317,6735;
PA 1308,6735;
PU;PA 1347,6746;
PD;PA 1366,6746;
PU;PA 1343,6735;
PD;PA 1356,6776;
PA 1369,6735;
PU;PA 1406,6739;
PD;PA 1404,6737;
PA 1399,6735;
PA 1395,6735;
PA 1389,6737;
PA 1385,6741;
PA 1384,6744;
PA 1382,6752;
PA 1382,6758;
PA 1384,6765;
PA 1385,6769;
PA 1389,6773;
PA 1395,6776;
PA 1399,6776;
PA 1404,6773;
PA 1406,6771;
PU;PA 1265,6783;
PD;PA 1414,6783;
PU;PA 1144,6789;
PD;PA 1140,6791;
PA 1139,6793;
PA 1137,6796;
PA 1137,6798;
PA 1139,6802;
PA 1140,6804;
PA 1144,6806;
PA 1152,6806;
PA 1156,6804;
PA 1158,6802;
PA 1159,6798;
PA 1159,6796;
PA 1158,6793;
PA 1156,6791;
PA 1152,6789;
PA 1144,6789;
PA 1140,6787;
PA 1139,6785;
PA 1137,6781;
PA 1137,6773;
PA 1139,6769;
PA 1140,6767;
PA 1144,6765;
PA 1152,6765;
PA 1156,6767;
PA 1158,6769;
PA 1159,6773;
PA 1159,6781;
PA 1158,6785;
PA 1156,6787;
PA 1152,6789;
PU;PA 1224,6651;
PD;PA 1071,6651;
PU;PA 1273,6635;
PD;PA 1279,6633;
PA 1289,6633;
PA 1293,6635;
PA 1295,6637;
PA 1296,6641;
PA 1296,6644;
PA 1295,6648;
PA 1293,6650;
PA 1289,6652;
PA 1281,6654;
PA 1277,6656;
PA 1276,6658;
PA 1273,6661;
PA 1273,6665;
PA 1276,6669;
PA 1277,6671;
PA 1281,6673;
PA 1291,6673;
PA 1296,6671;
PU;PA 1314,6633;
PD;PA 1314,6673;
PU;PA 1314,6654;
PD;PA 1337,6654;
PU;PA 1337,6633;
PD;PA 1337,6673;
PU;PA 1357,6633;
PD;PA 1357,6673;
PA 1366,6673;
PA 1372,6671;
PA 1377,6667;
PA 1378,6663;
PA 1380,6656;
PA 1380,6650;
PA 1378,6642;
PA 1377,6639;
PA 1372,6635;
PA 1366,6633;
PA 1357,6633;
PU;PA 1398,6633;
PD;PA 1398,6673;
PA 1420,6633;
PA 1420,6673;
PU;PA 1265,6681;
PD;PA 1431,6681;
PU;PA 1140,6663;
PD;PA 1148,6663;
PA 1152,6665;
PA 1154,6667;
PA 1158,6672;
PA 1159,6681;
PA 1159,6696;
PA 1158,6700;
PA 1156,6702;
PA 1152,6704;
PA 1144,6704;
PA 1140,6702;
PA 1139,6700;
PA 1137,6696;
PA 1137,6687;
PA 1139,6683;
PA 1140,6681;
PA 1144,6679;
PA 1152,6679;
PA 1156,6681;
PA 1158,6683;
PA 1159,6687;
PU;PA 1990,6702;
PD;PA 2194,6702;
PU;PA 1781,6725;
PD;PA 1794,6684;
PA 1807,6725;
PU;PA 1827,6684;
PD;PA 1822,6686;
PA 1821,6688;
PA 1819,6692;
PA 1819,6703;
PA 1821,6707;
PA 1822,6709;
PA 1827,6711;
PA 1833,6711;
PA 1837,6709;
PA 1839,6707;
PA 1841,6703;
PA 1841,6692;
PA 1839,6688;
PA 1837,6686;
PA 1833,6684;
PA 1827,6684;
PU;PA 1876,6711;
PD;PA 1876,6684;
PU;PA 1858,6711;
PD;PA 1858,6690;
PA 1859,6686;
PA 1863,6684;
PA 1869,6684;
PA 1873,6686;
PA 1876,6688;
PU;PA 1889,6711;
PD;PA 1904,6711;
PU;PA 1895,6725;
PD;PA 1895,6690;
PA 1896,6686;
PA 1900,6684;
PA 1904,6684;
PU;PA 1932,6705;
PD;PA 1938,6703;
PA 1939,6701;
PA 1941,6697;
PA 1941,6692;
PA 1939,6688;
PA 1938,6686;
PA 1934,6684;
PA 1918,6684;
PA 1918,6725;
PA 1932,6725;
PA 1936,6722;
PA 1938,6720;
PA 1939,6716;
PA 1939,6712;
PA 1938,6709;
PA 1936,6707;
PA 1932,6705;
PA 1918,6705;
PU;PA 2084,6714;
PD;PA 2061,6714;
PU;PA 2072,6714;
PD;PA 2072,6755;
PA 2068,6749;
PA 2064,6745;
PA 2061,6743;
PU;PA 2109,6755;
PD;PA 2113,6755;
PA 2117,6753;
PA 2119,6751;
PA 2121,6747;
PA 2122,6740;
PA 2122,6730;
PA 2121,6722;
PA 2119,6718;
PA 2117,6716;
PA 2113,6714;
PA 2109,6714;
PA 2105,6716;
PA 2103,6718;
PA 2102,6722;
PA 2100,6730;
PA 2100,6740;
PA 2102,6747;
PA 2103,6751;
PA 2105,6753;
PA 2109,6755;
PU;PA 1684,6549;
PD;PA 1684,6396;
PU;PA 1661,6594;
PD;PA 1702,6607;
PA 1661,6620;
PU;PA 1702,6635;
PD;PA 1674,6635;
PU;PA 1683,6635;
PD;PA 1679,6636;
PA 1677,6638;
PA 1674,6642;
PA 1674,6646;
PU;PA 1700,6676;
PD;PA 1702,6671;
PA 1702,6663;
PA 1700,6660;
PA 1696,6658;
PA 1681,6658;
PA 1677,6660;
PA 1674,6663;
PA 1674,6671;
PA 1677,6676;
PA 1681,6678;
PA 1685,6678;
PA 1689,6658;
PU;PA 1674,6689;
PD;PA 1674,6704;
PU;PA 1702,6695;
PD;PA 1667,6695;
PA 1663,6696;
PA 1661,6700;
PA 1661,6704;
PU;PA 1681,6732;
PD;PA 1683,6738;
PA 1685,6739;
PA 1689,6741;
PA 1694,6741;
PA 1698,6739;
PA 1700,6738;
PA 1702,6734;
PA 1702,6718;
PA 1661,6718;
PA 1661,6732;
PA 1663,6736;
PA 1665,6738;
PA 1669,6739;
PA 1673,6739;
PA 1677,6738;
PA 1679,6736;
PA 1681,6732;
PA 1681,6718;
PU;PA 1671,6464;
PD;PA 1671,6442;
PU;PA 1671,6453;
PD;PA 1631,6453;
PA 1637,6449;
PA 1641,6445;
PA 1643,6442;
PU;PA 1671,6503;
PD;PA 1671,6481;
PU;PA 1671,6492;
PD;PA 1631,6492;
PA 1637,6488;
PA 1641,6484;
PA 1643,6481;
PU;PA 1531,6549;
PD;PA 1531,6396;
PU;PA 1538,6598;
PD;PA 1538,6617;
PU;PA 1549,6594;
PD;PA 1508,6607;
PA 1549,6620;
PU;PA 1508,6629;
PD;PA 1549,6642;
PA 1508,6655;
PU;PA 1547,6667;
PD;PA 1549,6672;
PA 1549,6683;
PA 1547,6687;
PA 1545,6689;
PA 1541,6690;
PA 1538,6690;
PA 1534,6689;
PA 1532,6687;
PA 1530,6683;
PA 1528,6675;
PA 1526,6670;
PA 1523,6669;
PA 1520,6667;
PA 1516,6667;
PA 1512,6669;
PA 1510,6670;
PA 1508,6675;
PA 1508,6685;
PA 1510,6690;
PU;PA 1547,6706;
PD;PA 1549,6711;
PA 1549,6721;
PA 1547,6726;
PA 1545,6728;
PA 1541,6729;
PA 1538,6729;
PA 1534,6728;
PA 1532,6726;
PA 1530,6721;
PA 1528,6713;
PA 1526,6709;
PA 1523,6708;
PA 1520,6706;
PA 1516,6706;
PA 1512,6708;
PA 1510,6709;
PA 1508,6713;
PA 1508,6723;
PA 1510,6729;
PU;PA 1518,6464;
PD;PA 1518,6442;
PU;PA 1518,6453;
PD;PA 1478,6453;
PA 1484,6449;
PA 1488,6445;
PA 1490,6442;
PU;PA 1482,6481;
PD;PA 1480,6483;
PA 1478,6486;
PA 1478,6496;
PA 1480,6500;
PA 1482,6502;
PA 1486,6503;
PA 1490,6503;
PA 1495,6502;
PA 1518,6479;
PA 1518,6503;
PU;PA 1684,7161;
PD;PA 1684,7314;
PU;PA 1661,6971;
PD;PA 1702,6985;
PA 1661,6998;
PU;PA 1702,7012;
PD;PA 1674,7012;
PU;PA 1683,7012;
PD;PA 1679,7013;
PA 1677,7015;
PA 1674,7019;
PA 1674,7023;
PU;PA 1700,7053;
PD;PA 1702,7049;
PA 1702,7041;
PA 1700,7038;
PA 1696,7036;
PA 1681,7036;
PA 1677,7038;
PA 1674,7041;
PA 1674,7049;
PA 1677,7053;
PA 1681,7055;
PA 1685,7055;
PA 1689,7036;
PU;PA 1674,7066;
PD;PA 1674,7082;
PU;PA 1702,7072;
PD;PA 1667,7072;
PA 1663,7073;
PA 1661,7078;
PA 1661,7082;
PU;PA 1691,7094;
PD;PA 1691,7113;
PU;PA 1702,7090;
PD;PA 1661,7103;
PA 1702,7116;
PU;PA 1671,7230;
PD;PA 1671,7207;
PU;PA 1671,7218;
PD;PA 1631,7218;
PA 1637,7214;
PA 1641,7210;
PA 1643,7207;
PU;PA 1631,7244;
PD;PA 1631,7268;
PA 1646,7255;
PA 1646,7261;
PA 1648,7265;
PA 1650,7267;
PA 1654,7268;
PA 1663,7268;
PA 1667,7267;
PA 1669,7265;
PA 1671,7261;
PA 1671,7249;
PA 1669,7246;
PA 1667,7244;
PU;PA 1990,7008;
PD;PA 2194,7008;
PU;PA 1787,7031;
PD;PA 1800,6990;
PA 1813,7031;
PU;PA 1833,6990;
PD;PA 1829,6992;
PA 1828,6994;
PA 1826,6998;
PA 1826,7009;
PA 1828,7013;
PA 1829,7015;
PA 1833,7017;
PA 1839,7017;
PA 1843,7015;
PA 1845,7013;
PA 1847,7009;
PA 1847,6998;
PA 1845,6994;
PA 1843,6992;
PA 1839,6990;
PA 1833,6990;
PU;PA 1882,7017;
PD;PA 1882,6990;
PU;PA 1864,7017;
PD;PA 1864,6996;
PA 1865,6992;
PA 1869,6990;
PA 1876,6990;
PA 1880,6992;
PA 1882,6994;
PU;PA 1895,7017;
PD;PA 1910,7017;
PU;PA 1901,7031;
PD;PA 1901,6996;
PA 1902,6992;
PA 1906,6990;
PA 1910,6990;
PU;PA 1922,7001;
PD;PA 1942,7001;
PU;PA 1918,6990;
PD;PA 1932,7031;
PA 1945,6990;
PU;PA 2084,7020;
PD;PA 2061,7020;
PU;PA 2072,7020;
PD;PA 2072,7061;
PA 2068,7055;
PA 2064,7051;
PA 2061,7049;
PU;PA 2119,7048;
PD;PA 2119,7020;
PU;PA 2109,7063;
PD;PA 2100,7034;
PA 2124,7034;
PU;PA 1796,7312;
PD;PA 1796,7280;
PA 1797,7276;
PA 1799,7273;
PA 1803,7271;
PA 1811,7271;
PA 1815,7273;
PA 1816,7276;
PA 1818,7280;
PA 1818,7312;
PU;PA 1840,7271;
PD;PA 1848,7271;
PA 1852,7273;
PA 1854,7276;
PA 1858,7281;
PA 1859,7289;
PA 1859,7304;
PA 1858,7308;
PA 1856,7310;
PA 1852,7312;
PA 1844,7312;
PA 1840,7310;
PA 1839,7308;
PA 1837,7304;
PA 1837,7295;
PA 1839,7291;
PA 1840,7289;
PA 1844,7287;
PA 1852,7287;
PA 1856,7289;
PA 1858,7291;
PA 1859,7295;
PU;PA 1796,7220;
PD;PA 1796,7261;
PA 1809,7232;
PA 1822,7261;
PA 1822,7220;
PU;PA 1865,7225;
PD;PA 1863,7222;
PA 1858,7220;
PA 1854,7220;
PA 1848,7222;
PA 1844,7227;
PA 1843,7230;
PA 1841,7238;
PA 1841,7244;
PA 1843,7251;
PA 1844,7255;
PA 1848,7259;
PA 1854,7261;
PA 1858,7261;
PA 1863,7259;
PA 1865,7257;
PU;PA 1884,7220;
PD;PA 1884,7261;
PA 1899,7261;
PA 1903,7259;
PA 1904,7257;
PA 1906,7253;
PA 1906,7248;
PA 1904,7244;
PA 1903,7242;
PA 1899,7240;
PA 1884,7240;
PU;PA 1942,7248;
PD;PA 1942,7220;
PU;PA 1932,7263;
PD;PA 1922,7234;
PA 1947,7234;
PU;PA 1964,7220;
PD;PA 1972,7220;
PA 1977,7222;
PA 1979,7225;
PA 1983,7230;
PA 1984,7238;
PA 1984,7253;
PA 1983,7257;
PA 1981,7259;
PA 1977,7261;
PA 1968,7261;
PA 1964,7259;
PA 1963,7257;
PA 1961,7253;
PA 1961,7244;
PA 1963,7240;
PA 1964,7238;
PA 1968,7236;
PA 1977,7236;
PA 1981,7238;
PA 1983,7240;
PA 1984,7244;
PU;PA 2000,7257;
PD;PA 2002,7259;
PA 2005,7261;
PA 2015,7261;
PA 2019,7259;
PA 2021,7257;
PA 2022,7253;
PA 2022,7249;
PA 2021,7244;
PA 1998,7220;
PA 2022,7220;
PU;PA 2039,7257;
PD;PA 2041,7259;
PA 2044,7261;
PA 2054,7261;
PA 2058,7259;
PA 2060,7257;
PA 2061,7253;
PA 2061,7249;
PA 2060,7244;
PA 2037,7220;
PA 2061,7220;
PU;PA 2080,7236;
PD;PA 2110,7236;
PU;PA 2131,7242;
PD;PA 2144,7242;
PU;PA 2150,7220;
PD;PA 2131,7220;
PA 2131,7261;
PA 2150,7261;
PU;PA 2196,7263;
PD;PA 2161,7210;
PU;PA 2208,7222;
PD;PA 2213,7220;
PA 2223,7220;
PA 2228,7222;
PA 2230,7225;
PA 2231,7229;
PA 2231,7232;
PA 2230,7236;
PA 2228,7238;
PA 2223,7240;
PA 2215,7242;
PA 2211,7244;
PA 2210,7246;
PA 2208,7249;
PA 2208,7253;
PA 2210,7257;
PA 2211,7259;
PA 2215,7261;
PA 2226,7261;
PA 2231,7259;
PU;PA 2268,7220;
PD;PA 2249,7220;
PA 2249,7261;
PU;PA 1577,6845;
PD;PA 1581,6843;
PA 1588,6843;
PA 1591,6845;
PA 1593,6846;
PA 1595,6849;
PA 1595,6852;
PA 1594,6855;
PA 1593,6856;
PA 1590,6858;
PA 1584,6859;
PA 1582,6861;
PA 1581,6862;
PA 1580,6865;
PA 1580,6868;
PA 1582,6871;
PA 1584,6872;
PA 1586,6873;
PA 1594,6873;
PA 1598,6872;
PU;PA 1617,6873;
PD;PA 1623,6873;
PA 1626,6872;
PA 1628,6869;
PA 1630,6863;
PA 1628,6853;
PA 1626,6848;
PA 1621,6845;
PA 1619,6843;
PA 1613,6843;
PA 1610,6845;
PA 1608,6848;
PA 1607,6853;
PA 1609,6863;
PA 1610,6869;
PA 1614,6872;
PA 1617,6873;
PU;PA 1655,6843;
PD;PA 1638,6843;
PU;PA 1646,6843;
PD;PA 1650,6873;
PA 1646,6869;
PA 1644,6866;
PA 1641,6865;
PU;PA 1685,6863;
PD;PA 1682,6843;
PU;PA 1679,6876;
PD;PA 1668,6853;
PA 1687,6853;
PU;PA 777,7076;
PD;PA 786,7072;
PA 800,7072;
PA 806,7076;
PA 809,7079;
PA 812,7084;
PA 812,7090;
PA 809,7096;
PA 806,7099;
PA 800,7101;
PA 789,7104;
PA 783,7107;
PA 780,7110;
PA 777,7116;
PA 777,7121;
PA 780,7128;
PA 783,7131;
PA 789,7134;
PA 803,7134;
PA 812,7131;
PU;PA 838,7072;
PD;PA 838,7134;
PA 853,7134;
PA 861,7131;
PA 867,7125;
PA 870,7119;
PA 873,7107;
PA 873,7099;
PA 870,7087;
PA 867,7081;
PA 861,7076;
PA 853,7072;
PA 838,7072;
PU;PA 911,7134;
PD;PA 922,7134;
PA 929,7131;
PA 935,7125;
PA 937,7113;
PA 937,7093;
PA 935,7081;
PA 929,7076;
PA 922,7072;
PA 911,7072;
PA 905,7076;
PA 899,7081;
PA 896,7093;
PA 896,7113;
PA 899,7125;
PA 905,7131;
PA 911,7134;
PU;PA 777,6973;
PD;PA 786,6970;
PA 800,6970;
PA 806,6973;
PA 809,6977;
PA 812,6982;
PA 812,6988;
PA 809,6994;
PA 806,6997;
PA 800,6999;
PA 789,7002;
PA 783,7005;
PA 780,7008;
PA 777,7014;
PA 777,7019;
PA 780,7026;
PA 783,7029;
PA 789,7032;
PA 803,7032;
PA 812,7029;
PU;PA 873,6977;
PD;PA 870,6973;
PA 861,6970;
PA 855,6970;
PA 847,6973;
PA 841,6979;
PA 838,6985;
PA 835,6997;
PA 835,7005;
PA 838,7017;
PA 841,7022;
PA 847,7029;
PA 855,7032;
PA 861,7032;
PA 870,7029;
PA 873,7026;
PU;PA 899,6970;
PD;PA 899,7032;
PU;PA 935,6970;
PD;PA 908,7005;
PU;PA 935,7032;
PD;PA 899,6997;
PU;PA 710,6834;
PD;PA 707,6831;
PA 698,6828;
PA 692,6828;
PA 684,6831;
PA 678,6836;
PA 674,6842;
PA 671,6854;
PA 671,6862;
PA 674,6875;
PA 678,6880;
PA 684,6886;
PA 692,6889;
PA 698,6889;
PA 707,6886;
PA 710,6883;
PU;PA 733,6831;
PD;PA 742,6828;
PA 756,6828;
PA 762,6831;
PA 765,6834;
PA 768,6839;
PA 768,6845;
PA 765,6851;
PA 762,6854;
PA 756,6856;
PA 745,6859;
PA 739,6862;
PA 736,6865;
PA 733,6871;
PA 733,6877;
PA 736,6883;
PA 739,6886;
PA 745,6889;
PA 759,6889;
PA 768,6886;
PU;PA 794,6834;
PD;PA 797,6831;
PA 794,6828;
PA 791,6831;
PA 794,6834;
PA 794,6828;
PU;PA 823,6828;
PD;PA 823,6889;
PA 839,6889;
PA 847,6886;
PA 853,6880;
PA 856,6875;
PA 859,6862;
PA 859,6854;
PA 856,6842;
PA 853,6836;
PA 847,6831;
PA 839,6828;
PA 823,6828;
PU;PA 882,6845;
PD;PA 911,6845;
PU;PA 877,6828;
PD;PA 897,6889;
PA 917,6828;
PU;PA 972,6834;
PD;PA 969,6831;
PA 960,6828;
PA 954,6828;
PA 946,6831;
PA 940,6836;
PA 937,6842;
PA 934,6854;
PA 934,6862;
PA 937,6875;
PA 940,6880;
PA 946,6886;
PA 954,6889;
PA 960,6889;
PA 969,6886;
PA 972,6883;
PU;PA 1020,6855;
PD;PA 990,6910;
PA 637,6910;
PA 637,6855;
PA 637,6800;
PA 990,6800;
PA 1020,6855;
PU;PA 1480,6396;
PD;PA 1531,6345;
PA 1582,6396;
PA 1480,6396;
PU;PA 1071,6804;
PD;PA 1020,6753;
PA 1071,6702;
PA 1071,6804;
PU;PA 2653,6906;
PD;PA 3061,7110;
PA 2653,7314;
PA 2653,6906;
PU;PA 2755,6957;
PD;PA 2755,6702;
PU;PA 2733,6982;
PD;PA 2773,6995;
PA 2733,7008;
PU;PA 2758,7022;
PD;PA 2758,7053;
PU;PA 2773,7038;
PD;PA 2743,7038;
PU;PA 2715,6838;
PD;PA 2743,6838;
PU;PA 2700,6828;
PD;PA 2730,6818;
PA 2730,6843;
PU;PA 2755,7263;
PD;PA 2755,7518;
PU;PA 2733,7161;
PD;PA 2773,7175;
PA 2733,7188;
PU;PA 2758,7202;
PD;PA 2758,7233;
PU;PA 2743,7383;
PD;PA 2743,7360;
PU;PA 2743,7371;
PD;PA 2702,7371;
PA 2708,7367;
PA 2712,7363;
PA 2714,7360;
PU;PA 2743,7421;
PD;PA 2743,7399;
PU;PA 2743,7410;
PD;PA 2702,7410;
PA 2708,7406;
PA 2712,7402;
PA 2714,7399;
PU;PA 2653,7008;
PD;PA 2347,7008;
PU;PA 2684,7005;
PD;PA 2714,7005;
PU;PA 2699,6990;
PD;PA 2699,7020;
PU;PA 2510,7061;
PD;PA 2491,7061;
PA 2489,7042;
PA 2491,7044;
PA 2494,7046;
PA 2504,7046;
PA 2508,7044;
PA 2510,7042;
PA 2511,7038;
PA 2511,7029;
PA 2510,7025;
PA 2508,7022;
PA 2504,7020;
PA 2494,7020;
PA 2491,7022;
PA 2489,7025;
PU;PA 2653,7212;
PD;PA 2347,7212;
PU;PA 2684,7209;
PD;PA 2714,7209;
PU;PA 2508,7265;
PD;PA 2500,7265;
PA 2496,7263;
PA 2494,7261;
PA 2491,7255;
PA 2489,7248;
PA 2489,7233;
PA 2491,7229;
PA 2492,7227;
PA 2496,7225;
PA 2504,7225;
PA 2508,7227;
PA 2510,7229;
PA 2511,7233;
PA 2511,7242;
PA 2510,7246;
PA 2508,7248;
PA 2504,7250;
PA 2496,7250;
PA 2492,7248;
PA 2491,7246;
PA 2489,7242;
PU;PA 3061,7110;
PD;PA 3367,7110;
PU;PA 3201,7163;
PD;PA 3228,7163;
PA 3210,7122;
PU;PA 2820,6937;
PD;PA 2820,6887;
PA 2823,6882;
PA 2827,6879;
PA 2833,6876;
PA 2844,6876;
PA 2850,6879;
PA 2853,6882;
PA 2856,6887;
PA 2856,6937;
PU;PA 2894,6910;
PD;PA 2888,6913;
PA 2885,6916;
PA 2882,6922;
PA 2882,6925;
PA 2885,6931;
PA 2888,6934;
PA 2894,6937;
PA 2905,6937;
PA 2911,6934;
PA 2914,6931;
PA 2917,6925;
PA 2917,6922;
PA 2914,6916;
PA 2911,6913;
PA 2905,6910;
PA 2894,6910;
PA 2888,6907;
PA 2885,6904;
PA 2882,6899;
PA 2882,6887;
PA 2885,6882;
PA 2888,6879;
PA 2894,6876;
PA 2905,6876;
PA 2911,6879;
PA 2914,6882;
PA 2917,6887;
PA 2917,6899;
PA 2914,6904;
PA 2911,6907;
PA 2905,6910;
PU;PA 2963,6907;
PD;PA 2972,6904;
PA 2976,6902;
PA 2979,6896;
PA 2979,6887;
PA 2976,6882;
PA 2972,6879;
PA 2966,6876;
PA 2943,6876;
PA 2943,6937;
PA 2963,6937;
PA 2969,6934;
PA 2972,6931;
PA 2976,6925;
PA 2976,6919;
PA 2972,6913;
PA 2969,6910;
PA 2963,6907;
PA 2943,6907;
PU;PA 2850,7335;
PD;PA 2820,7335;
PA 2820,7396;
PU;PA 2870,7335;
PD;PA 2870,7396;
PA 2891,7352;
PA 2911,7396;
PA 2911,7335;
PU;PA 2936,7396;
PD;PA 2973,7396;
PA 2953,7372;
PA 2961,7372;
PA 2967,7369;
PA 2970,7366;
PA 2973,7361;
PA 2973,7346;
PA 2970,7341;
PA 2967,7338;
PA 2961,7335;
PA 2944,7335;
PA 2938,7338;
PA 2936,7341;
PU;PA 2996,7390;
PD;PA 2999,7393;
PA 3005,7396;
PA 3019,7396;
PA 3026,7393;
PA 3029,7390;
PA 3032,7384;
PA 3032,7379;
PA 3029,7369;
PA 2994,7335;
PA 3032,7335;
PU;PA 3084,7376;
PD;PA 3084,7335;
PU;PA 3069,7399;
PD;PA 3054,7355;
PA 3093,7355;
PU;PA 2245,7631;
EA 1939,7712;
PU;PA 2245,7671;
PD;PA 2347,7671;
PU;PA 1939,7671;
PD;PA 1837,7671;
PU;PA 2065,7732;
PD;PA 2052,7751;
PU;PA 2043,7732;
PD;PA 2043,7772;
PA 2058,7772;
PA 2062,7770;
PA 2063,7768;
PA 2065,7764;
PA 2065,7759;
PA 2063,7755;
PA 2062,7753;
PA 2058,7751;
PA 2043,7751;
PU;PA 2082,7768;
PD;PA 2084,7770;
PA 2087,7772;
PA 2097,7772;
PA 2101,7770;
PA 2103,7768;
PA 2104,7764;
PA 2104,7760;
PA 2103,7755;
PA 2080,7732;
PA 2104,7732;
PU;PA 2142,7772;
PD;PA 2122,7772;
PA 2120,7753;
PA 2122,7755;
PA 2126,7757;
PA 2136,7757;
PA 2140,7755;
PA 2142,7753;
PA 2143,7749;
PA 2143,7740;
PA 2142,7736;
PA 2140,7734;
PA 2136,7732;
PA 2126,7732;
PA 2122,7734;
PA 2120,7736;
PU;PA 2064,7657;
PD;PA 2042,7657;
PU;PA 2053,7657;
PD;PA 2053,7698;
PA 2049,7692;
PA 2045,7688;
PA 2042,7686;
PU;PA 2090,7698;
PD;PA 2094,7698;
PA 2098,7696;
PA 2100,7694;
PA 2102,7690;
PA 2103,7683;
PA 2103,7672;
PA 2102,7665;
PA 2100,7661;
PA 2098,7659;
PA 2094,7657;
PA 2090,7657;
PA 2086,7659;
PA 2084,7661;
PA 2083,7665;
PA 2081,7672;
PA 2081,7683;
PA 2083,7690;
PA 2084,7694;
PA 2086,7696;
PA 2090,7698;
PU;PA 2121,7657;
PD;PA 2121,7698;
PU;PA 2144,7657;
PD;PA 2127,7681;
PU;PA 2144,7698;
PD;PA 2121,7675;
PU;PA 3265,7631;
EA 2959,7712;
PU;PA 3265,7671;
PD;PA 3367,7671;
PU;PA 2959,7671;
PD;PA 2857,7671;
PU;PA 3086,7732;
PD;PA 3072,7751;
PU;PA 3063,7732;
PD;PA 3063,7772;
PA 3079,7772;
PA 3083,7770;
PA 3084,7768;
PA 3086,7764;
PA 3086,7759;
PA 3084,7755;
PA 3083,7753;
PA 3079,7751;
PA 3063,7751;
PU;PA 3102,7768;
PD;PA 3104,7770;
PA 3107,7772;
PA 3117,7772;
PA 3121,7770;
PA 3123,7768;
PA 3124,7764;
PA 3124,7760;
PA 3123,7755;
PA 3100,7732;
PA 3124,7732;
PU;PA 3139,7772;
PD;PA 3165,7772;
PA 3148,7732;
PU;PA 3085,7657;
PD;PA 3062,7657;
PU;PA 3073,7657;
PD;PA 3073,7698;
PA 3069,7692;
PA 3065,7688;
PA 3062,7686;
PU;PA 3110,7698;
PD;PA 3114,7698;
PA 3118,7696;
PA 3120,7694;
PA 3122,7690;
PA 3123,7683;
PA 3123,7672;
PA 3122,7665;
PA 3120,7661;
PA 3118,7659;
PA 3114,7657;
PA 3110,7657;
PA 3106,7659;
PA 3104,7661;
PA 3103,7665;
PA 3101,7672;
PA 3101,7683;
PA 3103,7690;
PA 3104,7694;
PA 3106,7696;
PA 3110,7698;
PU;PA 3142,7657;
PD;PA 3142,7698;
PU;PA 3164,7657;
PD;PA 3147,7681;
PU;PA 3164,7698;
PD;PA 3142,7675;
PU;PA 4643,7631;
EA 4337,7712;
PU;PA 4643,7671;
PD;PA 4745,7671;
PU;PA 4337,7671;
PD;PA 4235,7671;
PU;PA 4463,7732;
PD;PA 4450,7751;
PU;PA 4441,7732;
PD;PA 4441,7772;
PA 4456,7772;
PA 4460,7770;
PA 4461,7768;
PA 4463,7764;
PA 4463,7759;
PA 4461,7755;
PA 4460,7753;
PA 4456,7751;
PA 4441,7751;
PU;PA 4478,7772;
PD;PA 4502,7772;
PA 4489,7757;
PA 4495,7757;
PA 4499,7755;
PA 4501,7753;
PA 4502,7749;
PA 4502,7740;
PA 4501,7736;
PA 4499,7734;
PA 4495,7732;
PA 4483,7732;
PA 4480,7734;
PA 4478,7736;
PU;PA 4541,7732;
PD;PA 4518,7732;
PU;PA 4530,7732;
PD;PA 4530,7772;
PA 4526,7766;
PA 4521,7762;
PA 4518,7760;
PU;PA 4462,7657;
PD;PA 4440,7657;
PU;PA 4451,7657;
PD;PA 4451,7698;
PA 4447,7692;
PA 4443,7688;
PA 4440,7686;
PU;PA 4488,7698;
PD;PA 4492,7698;
PA 4496,7696;
PA 4498,7694;
PA 4500,7690;
PA 4501,7683;
PA 4501,7672;
PA 4500,7665;
PA 4498,7661;
PA 4496,7659;
PA 4492,7657;
PA 4488,7657;
PA 4484,7659;
PA 4482,7661;
PA 4481,7665;
PA 4479,7672;
PA 4479,7683;
PA 4481,7690;
PA 4482,7694;
PA 4484,7696;
PA 4488,7698;
PU;PA 4519,7657;
PD;PA 4519,7698;
PU;PA 4542,7657;
PD;PA 4524,7681;
PU;PA 4542,7698;
PD;PA 4519,7675;
PU;PA 3531,7263;
EA 3612,7569;
PU;PA 3571,7263;
PD;PA 3571,7161;
PU;PA 3571,7569;
PD;PA 3571,7671;
PU;PA 3668,7390;
PD;PA 3649,7377;
PU;PA 3668,7367;
PD;PA 3628,7367;
PA 3628,7383;
PA 3630,7387;
PA 3632,7388;
PA 3636,7390;
PA 3641,7390;
PA 3645,7388;
PA 3647,7387;
PA 3649,7383;
PA 3649,7367;
PU;PA 3632,7406;
PD;PA 3630,7408;
PA 3628,7411;
PA 3628,7421;
PA 3630,7426;
PA 3632,7428;
PA 3636,7429;
PA 3640,7429;
PA 3645,7428;
PA 3668,7404;
PA 3668,7429;
PU;PA 3668,7448;
PD;PA 3668,7456;
PA 3666,7460;
PA 3664,7462;
PA 3659,7466;
PA 3651,7467;
PA 3636,7467;
PA 3632,7466;
PA 3630,7464;
PA 3628,7460;
PA 3628,7452;
PA 3630,7448;
PA 3632,7447;
PA 3636,7445;
PA 3645,7445;
PA 3649,7447;
PA 3651,7448;
PA 3653,7452;
PA 3653,7460;
PA 3651,7464;
PA 3649,7466;
PA 3645,7467;
PU;PA 3594,7387;
PD;PA 3594,7364;
PU;PA 3594,7376;
PD;PA 3553,7376;
PA 3559,7371;
PA 3563,7367;
PA 3565,7364;
PU;PA 3553,7412;
PD;PA 3553,7416;
PA 3555,7420;
PA 3557,7422;
PA 3561,7425;
PA 3568,7426;
PA 3579,7426;
PA 3586,7425;
PA 3590,7422;
PA 3592,7420;
PA 3594,7416;
PA 3594,7412;
PA 3592,7408;
PA 3590,7406;
PA 3586,7405;
PA 3579,7403;
PA 3568,7403;
PA 3561,7405;
PA 3557,7406;
PA 3555,7408;
PA 3553,7412;
PU;PA 3594,7444;
PD;PA 3553,7444;
PU;PA 3594,7466;
PD;PA 3570,7449;
PU;PA 3553,7466;
PD;PA 3577,7444;
PU;PA 3418,6879;
PD;PA 3418,6940;
PA 3442,6940;
PA 3448,6937;
PA 3451,6934;
PA 3454,6928;
PA 3454,6919;
PA 3451,6913;
PA 3448,6910;
PA 3442,6907;
PA 3418,6907;
PU;PA 3471,6940;
PD;PA 3492,6879;
PA 3512,6940;
PU;PA 3529,6882;
PD;PA 3538,6879;
PA 3552,6879;
PA 3558,6882;
PA 3561,6885;
PA 3564,6890;
PA 3564,6896;
PA 3561,6902;
PA 3558,6905;
PA 3552,6907;
PA 3541,6910;
PA 3535,6913;
PA 3532,6916;
PA 3529,6922;
PA 3529,6928;
PA 3532,6934;
PA 3535,6937;
PA 3541,6940;
PA 3555,6940;
PA 3564,6937;
PU;PA 3622,6879;
PD;PA 3587,6879;
PU;PA 3605,6879;
PD;PA 3605,6940;
PA 3599,6931;
PA 3593,6926;
PA 3587,6922;
PU;PA 3367,6906;
PD;PA 3398,6851;
PA 3657,6851;
PA 3657,6906;
PA 3657,6961;
PA 3398,6961;
PA 3367,6906;
PU;PA 3520,7161;
PD;PA 3571,7110;
PA 3622,7161;
PA 3520,7161;
PU;PA 4796,7083;
PD;PA 4796,7144;
PA 4819,7144;
PA 4826,7141;
PA 4829,7138;
PA 4832,7132;
PA 4832,7123;
PA 4829,7117;
PA 4826,7114;
PA 4819,7111;
PA 4796,7111;
PU;PA 4849,7144;
PD;PA 4869,7083;
PA 4890,7144;
PU;PA 4906,7086;
PD;PA 4915,7083;
PA 4930,7083;
PA 4936,7086;
PA 4939,7089;
PA 4942,7094;
PA 4942,7100;
PA 4939,7106;
PA 4936,7109;
PA 4930,7111;
PA 4918,7114;
PA 4912,7117;
PA 4909,7120;
PA 4906,7127;
PA 4906,7132;
PA 4909,7138;
PA 4912,7141;
PA 4918,7144;
PA 4933,7144;
PA 4942,7141;
PU;PA 5000,7083;
PD;PA 4964,7083;
PU;PA 4983,7083;
PD;PA 4983,7144;
PA 4977,7135;
PA 4970,7130;
PA 4964,7127;
PU;PA 5020,7083;
PD;PA 5052,7123;
PU;PA 5020,7123;
PD;PA 5052,7083;
PU;PA 5072,7138;
PD;PA 5076,7141;
PA 5082,7144;
PA 5096,7144;
PA 5102,7141;
PA 5105,7138;
PA 5108,7132;
PA 5108,7127;
PA 5105,7117;
PA 5070,7083;
PA 5108,7083;
PU;PA 4745,7110;
PD;PA 4776,7055;
PA 5143,7055;
PA 5143,7110;
PA 5143,7165;
PA 4776,7165;
PA 4745,7110;
PU;PA 1480,5998;
EA 1173,6080;
PU;PA 1480,6039;
PD;PA 1582,6039;
PU;PA 1173,6039;
PD;PA 1071,6039;
PU;PA 1300,6099;
PD;PA 1287,6118;
PU;PA 1278,6099;
PD;PA 1278,6140;
PA 1293,6140;
PA 1297,6138;
PA 1298,6136;
PA 1300,6132;
PA 1300,6127;
PA 1298,6122;
PA 1297,6120;
PA 1293,6118;
PA 1278,6118;
PU;PA 1316,6136;
PD;PA 1318,6138;
PA 1321,6140;
PA 1332,6140;
PA 1336,6138;
PA 1338,6136;
PA 1339,6132;
PA 1339,6128;
PA 1338,6122;
PA 1314,6099;
PA 1339,6099;
PU;PA 1355,6136;
PD;PA 1357,6138;
PA 1360,6140;
PA 1370,6140;
PA 1374,6138;
PA 1377,6136;
PA 1378,6132;
PA 1378,6128;
PA 1377,6122;
PA 1353,6099;
PA 1378,6099;
PU;PA 1299,6025;
PD;PA 1277,6025;
PU;PA 1288,6025;
PD;PA 1288,6065;
PA 1284,6059;
PA 1280,6055;
PA 1277,6053;
PU;PA 1324,6065;
PD;PA 1329,6065;
PA 1333,6063;
PA 1335,6061;
PA 1337,6057;
PA 1338,6050;
PA 1338,6040;
PA 1337,6033;
PA 1335,6029;
PA 1333,6027;
PA 1329,6025;
PA 1324,6025;
PA 1320,6027;
PA 1318,6029;
PA 1317,6033;
PA 1315,6040;
PA 1315,6050;
PA 1317,6057;
PA 1318,6061;
PA 1320,6063;
PA 1324,6065;
PU;PA 1356,6025;
PD;PA 1356,6065;
PU;PA 1379,6025;
PD;PA 1361,6048;
PU;PA 1379,6065;
PD;PA 1356,6042;
PU;PA 1806,5533;
PD;PA 1815,5530;
PA 1818,5528;
PA 1821,5521;
PA 1821,5512;
PA 1818,5507;
PA 1815,5504;
PA 1809,5501;
PA 1786,5501;
PA 1786,5562;
PA 1806,5562;
PA 1812,5559;
PA 1815,5556;
PA 1818,5550;
PA 1818,5545;
PA 1815,5539;
PA 1812,5536;
PA 1806,5533;
PA 1786,5533;
PU;PA 1847,5501;
PD;PA 1847,5562;
PA 1870,5562;
PA 1877,5559;
PA 1880,5556;
PA 1883,5550;
PA 1883,5542;
PA 1880,5536;
PA 1877,5533;
PA 1870,5530;
PA 1847,5530;
PU;PA 1900,5562;
PD;PA 1920,5501;
PA 1941,5562;
PU;PA 1957,5504;
PD;PA 1966,5501;
PA 1981,5501;
PA 1987,5504;
PA 1990,5507;
PA 1993,5512;
PA 1993,5518;
PA 1990,5524;
PA 1987,5528;
PA 1981,5530;
PA 1969,5533;
PA 1963,5536;
PA 1960,5539;
PA 1957,5545;
PA 1957,5550;
PA 1960,5556;
PA 1963,5559;
PA 1969,5562;
PA 1984,5562;
PA 1993,5559;
PU;PA 2015,5556;
PD;PA 2018,5559;
PA 2024,5562;
PA 2039,5562;
PA 2045,5559;
PA 2048,5556;
PA 2051,5550;
PA 2051,5545;
PA 2048,5536;
PA 2013,5501;
PA 2051,5501;
PU;PA 1735,5529;
PD;PA 1765,5473;
PA 2086,5473;
PA 2086,5529;
PA 2086,5584;
PA 1765,5584;
PA 1735,5529;
PU;PA 2347,6675;
PD;PA 2347,6736;
PA 2370,6736;
PA 2377,6733;
PA 2380,6730;
PA 2383,6723;
PA 2383,6715;
PA 2380,6709;
PA 2377,6706;
PA 2370,6703;
PA 2347,6703;
PU;PA 2400,6736;
PD;PA 2420,6675;
PA 2441,6736;
PU;PA 2457,6678;
PD;PA 2466,6675;
PA 2481,6675;
PA 2487,6678;
PA 2490,6681;
PA 2493,6686;
PA 2493,6692;
PA 2490,6698;
PA 2487,6701;
PA 2481,6703;
PA 2469,6706;
PA 2463,6709;
PA 2460,6712;
PA 2457,6718;
PA 2457,6723;
PA 2460,6730;
PA 2463,6733;
PA 2469,6736;
PA 2484,6736;
PA 2493,6733;
PU;PA 2515,6730;
PD;PA 2518,6733;
PA 2524,6736;
PA 2539,6736;
PA 2545,6733;
PA 2548,6730;
PA 2551,6723;
PA 2551,6718;
PA 2548,6709;
PA 2513,6675;
PA 2551,6675;
PU;PA 2296,6702;
PD;PA 2327,6647;
PA 2586,6647;
PA 2586,6702;
PA 2586,6757;
PA 2327,6757;
PA 2296,6702;
PU;PA 4592,6182;
EA 4286,6100;
PU;PA 4592,6141;
PD;PA 4694,6141;
PU;PA 4286,6141;
PD;PA 4184,6141;
PU;PA 4412,6044;
PD;PA 4399,6063;
PU;PA 4390,6044;
PD;PA 4390,6085;
PA 4405,6085;
PA 4409,6083;
PA 4410,6081;
PA 4412,6077;
PA 4412,6071;
PA 4410,6067;
PA 4409,6065;
PA 4405,6063;
PA 4390,6063;
PU;PA 4427,6085;
PD;PA 4451,6085;
PA 4438,6069;
PA 4444,6069;
PA 4448,6067;
PA 4450,6065;
PA 4451,6061;
PA 4451,6052;
PA 4450,6048;
PA 4448,6046;
PA 4444,6044;
PA 4432,6044;
PA 4429,6046;
PA 4427,6048;
PU;PA 4477,6085;
PD;PA 4481,6085;
PA 4485,6083;
PA 4487,6081;
PA 4489,6077;
PA 4490,6069;
PA 4490,6059;
PA 4489,6052;
PA 4487,6048;
PA 4485,6046;
PA 4481,6044;
PA 4477,6044;
PA 4472,6046;
PA 4470,6048;
PA 4469,6052;
PA 4467,6059;
PA 4467,6069;
PA 4469,6077;
PA 4470,6081;
PA 4472,6083;
PA 4477,6085;
PU;PA 4431,6118;
PD;PA 4408,6118;
PU;PA 4419,6118;
PD;PA 4419,6159;
PA 4415,6153;
PA 4411,6149;
PA 4408,6147;
PU;PA 4449,6118;
PD;PA 4449,6159;
PU;PA 4471,6118;
PD;PA 4454,6142;
PU;PA 4471,6159;
PD;PA 4449,6136;
PU;PA 4745,5093;
PD;PA 4745,5154;
PA 4768,5154;
PA 4774,5151;
PA 4778,5148;
PA 4781,5142;
PA 4781,5134;
PA 4778,5128;
PA 4774,5124;
PA 4768,5121;
PA 4745,5121;
PU;PA 4842,5099;
PD;PA 4839,5096;
PA 4830,5093;
PA 4823,5093;
PA 4815,5096;
PA 4809,5101;
PA 4806,5107;
PA 4803,5119;
PA 4803,5128;
PA 4806,5140;
PA 4809,5145;
PA 4815,5151;
PA 4823,5154;
PA 4830,5154;
PA 4839,5151;
PA 4842,5148;
PU;PA 4864,5096;
PD;PA 4873,5093;
PA 4888,5093;
PA 4894,5096;
PA 4897,5099;
PA 4900,5104;
PA 4900,5110;
PA 4897,5116;
PA 4894,5119;
PA 4888,5121;
PA 4877,5124;
PA 4870,5128;
PA 4867,5131;
PA 4864,5137;
PA 4864,5142;
PA 4867,5148;
PA 4870,5151;
PA 4877,5154;
PA 4891,5154;
PA 4900,5151;
PU;PA 4694,5120;
PD;PA 4724,5065;
PA 4935,5065;
PA 4935,5120;
PA 4935,5176;
PA 4724,5176;
PA 4694,5120;
PU;PA 2954,6021;
PD;PA 2974,5960;
PA 2995,6021;
PU;PA 3014,5984;
PD;PA 3061,5984;
PU;PA 3112,5988;
PD;PA 3082,6043;
PA 2924,6043;
PA 2924,5988;
PA 2924,5933;
PA 3082,5933;
PA 3112,5988;
PU;PA 3163,5273;
PD;PA 3571,5478;
PA 3163,5682;
PA 3163,5273;
PU;PA 3265,5324;
PD;PA 3265,5069;
PU;PA 3243,5349;
PD;PA 3284,5362;
PA 3243,5376;
PU;PA 3268,5390;
PD;PA 3268,5420;
PU;PA 3284,5405;
PD;PA 3253,5405;
PU;PA 3226,5205;
PD;PA 3253,5205;
PU;PA 3210,5195;
PD;PA 3240,5186;
PA 3240,5210;
PU;PA 3265,5631;
PD;PA 3265,5886;
PU;PA 3243,5529;
PD;PA 3284,5542;
PA 3243,5555;
PU;PA 3268,5569;
PD;PA 3268,5600;
PU;PA 3253,5750;
PD;PA 3253,5728;
PU;PA 3253,5739;
PD;PA 3212,5739;
PA 3218,5735;
PA 3222,5731;
PA 3224,5728;
PU;PA 3253,5789;
PD;PA 3253,5766;
PU;PA 3253,5778;
PD;PA 3212,5778;
PA 3218,5773;
PA 3222,5769;
PA 3224,5766;
PU;PA 3163,5376;
PD;PA 2857,5376;
PU;PA 3194,5372;
PD;PA 3224,5372;
PU;PA 3209,5357;
PD;PA 3209,5388;
PU;PA 3002,5388;
PD;PA 2980,5388;
PU;PA 2991,5388;
PD;PA 2991,5429;
PA 2987,5422;
PA 2983,5418;
PA 2980,5416;
PU;PA 3018,5424;
PD;PA 3020,5427;
PA 3023,5429;
PA 3034,5429;
PA 3038,5427;
PA 3040,5424;
PA 3041,5420;
PA 3041,5416;
PA 3040,5411;
PA 3016,5388;
PA 3041,5388;
PU;PA 3163,5580;
PD;PA 2857,5580;
PU;PA 3194,5577;
PD;PA 3224,5577;
PU;PA 3002,5592;
PD;PA 2980,5592;
PU;PA 2991,5592;
PD;PA 2991,5633;
PA 2987,5627;
PA 2983,5622;
PA 2980,5620;
PU;PA 3016,5633;
PD;PA 3041,5633;
PA 3028,5617;
PA 3034,5617;
PA 3038,5615;
PA 3040,5613;
PA 3041,5609;
PA 3041,5600;
PA 3040,5596;
PA 3038,5594;
PA 3034,5592;
PA 3021,5592;
PA 3018,5594;
PA 3016,5596;
PU;PA 3571,5478;
PD;PA 3878,5478;
PU;PA 3716,5490;
PD;PA 3694,5490;
PU;PA 3705,5490;
PD;PA 3705,5531;
PA 3701,5524;
PA 3697,5520;
PA 3694,5518;
PU;PA 3752,5517;
PD;PA 3752,5490;
PU;PA 3742,5533;
PD;PA 3733,5503;
PA 3757,5503;
PU;PA 3331,5304;
PD;PA 3331,5254;
PA 3334,5249;
PA 3337,5246;
PA 3343,5243;
PA 3354,5243;
PA 3360,5246;
PA 3363,5249;
PA 3366,5254;
PA 3366,5304;
PU;PA 3404,5278;
PD;PA 3398,5281;
PA 3395,5284;
PA 3392,5290;
PA 3392,5292;
PA 3395,5298;
PA 3398,5301;
PA 3404,5304;
PA 3415,5304;
PA 3421,5301;
PA 3424,5298;
PA 3428,5292;
PA 3428,5290;
PA 3424,5284;
PA 3421,5281;
PA 3415,5278;
PA 3404,5278;
PA 3398,5274;
PA 3395,5271;
PA 3392,5266;
PA 3392,5254;
PA 3395,5249;
PA 3398,5246;
PA 3404,5243;
PA 3415,5243;
PA 3421,5246;
PA 3424,5249;
PA 3428,5254;
PA 3428,5266;
PA 3424,5271;
PA 3421,5274;
PA 3415,5278;
PU;PA 3453,5243;
PD;PA 3453,5304;
PA 3468,5304;
PA 3477,5301;
PA 3483,5295;
PA 3486,5290;
PA 3489,5278;
PA 3489,5269;
PA 3486,5257;
PA 3483,5251;
PA 3477,5246;
PA 3468,5243;
PA 3453,5243;
PU;PA 3360,5702;
PD;PA 3331,5702;
PA 3331,5763;
PU;PA 3381,5702;
PD;PA 3381,5763;
PA 3401,5719;
PA 3421,5763;
PA 3421,5702;
PU;PA 3446,5763;
PD;PA 3484,5763;
PA 3463,5740;
PA 3471,5740;
PA 3478,5737;
PA 3481,5734;
PA 3484,5729;
PA 3484,5713;
PA 3481,5708;
PA 3478,5705;
PA 3471,5702;
PA 3454,5702;
PA 3448,5705;
PA 3446,5708;
PU;PA 3506,5757;
PD;PA 3509,5760;
PA 3515,5763;
PA 3530,5763;
PA 3536,5760;
PA 3539,5757;
PA 3542,5751;
PA 3542,5746;
PA 3539,5737;
PA 3504,5702;
PA 3542,5702;
PU;PA 3594,5743;
PD;PA 3594,5702;
PU;PA 3580,5766;
PD;PA 3564,5722;
PA 3603,5722;
PU;PA 4031,6906;
PD;PA 4439,7110;
PA 4031,7314;
PA 4031,6906;
PU;PA 4133,6957;
PD;PA 4133,6702;
PU;PA 4110,6982;
PD;PA 4151,6995;
PA 4110,7008;
PU;PA 4136,7022;
PD;PA 4136,7053;
PU;PA 4151,7038;
PD;PA 4120,7038;
PU;PA 4093,6838;
PD;PA 4120,6838;
PU;PA 4078,6828;
PD;PA 4107,6818;
PA 4107,6843;
PU;PA 4133,7263;
PD;PA 4133,7518;
PU;PA 4110,7161;
PD;PA 4151,7175;
PA 4110,7188;
PU;PA 4136,7202;
PD;PA 4136,7233;
PU;PA 4120,7383;
PD;PA 4120,7360;
PU;PA 4120,7371;
PD;PA 4080,7371;
PA 4086,7367;
PA 4090,7363;
PA 4092,7360;
PU;PA 4120,7421;
PD;PA 4120,7399;
PU;PA 4120,7410;
PD;PA 4080,7410;
PA 4086,7406;
PA 4090,7402;
PA 4092,7399;
PU;PA 4439,7110;
PD;PA 4745,7110;
PU;PA 4588,7146;
PD;PA 4584,7148;
PA 4583,7150;
PA 4581,7153;
PA 4581,7155;
PA 4583,7159;
PA 4584,7161;
PA 4588,7163;
PA 4596,7163;
PA 4600,7161;
PA 4602,7159;
PA 4603,7155;
PA 4603,7153;
PA 4602,7150;
PA 4600,7148;
PA 4596,7146;
PA 4588,7146;
PA 4584,7144;
PA 4583,7142;
PA 4581,7138;
PA 4581,7131;
PA 4583,7127;
PA 4584,7125;
PA 4588,7122;
PA 4596,7122;
PA 4600,7125;
PA 4602,7127;
PA 4603,7131;
PA 4603,7138;
PA 4602,7142;
PA 4600,7144;
PA 4596,7146;
PU;PA 4031,7212;
PD;PA 3724,7212;
PU;PA 4061,7209;
PD;PA 4092,7209;
PU;PA 3869,7225;
PD;PA 3878,7225;
PA 3882,7227;
PA 3884,7229;
PA 3888,7234;
PA 3889,7242;
PA 3889,7257;
PA 3888,7261;
PA 3886,7263;
PA 3882,7265;
PA 3873,7265;
PA 3869,7263;
PA 3868,7261;
PA 3866,7257;
PA 3866,7248;
PA 3868,7244;
PA 3869,7242;
PA 3873,7240;
PA 3882,7240;
PA 3886,7242;
PA 3888,7244;
PA 3889,7248;
PU;PA 4031,7008;
PD;PA 3724,7008;
PU;PA 4061,7005;
PD;PA 4092,7005;
PU;PA 4077,6990;
PD;PA 4077,7020;
PU;PA 3869,7020;
PD;PA 3847,7020;
PU;PA 3858,7020;
PD;PA 3858,7061;
PA 3854,7055;
PA 3850,7051;
PA 3847,7049;
PU;PA 3895,7061;
PD;PA 3899,7061;
PA 3903,7059;
PA 3905,7057;
PA 3907,7053;
PA 3908,7046;
PA 3908,7036;
PA 3907,7029;
PA 3905,7025;
PA 3903,7022;
PA 3899,7020;
PA 3895,7020;
PA 3891,7022;
PA 3889,7025;
PA 3888,7029;
PA 3886,7036;
PA 3886,7046;
PA 3888,7053;
PA 3889,7057;
PA 3891,7059;
PA 3895,7061;
PU;PA 4198,6937;
PD;PA 4198,6887;
PA 4201,6882;
PA 4204,6879;
PA 4210,6876;
PA 4221,6876;
PA 4228,6879;
PA 4231,6882;
PA 4234,6887;
PA 4234,6937;
PU;PA 4271,6910;
PD;PA 4265,6913;
PA 4262,6916;
PA 4259,6922;
PA 4259,6925;
PA 4262,6931;
PA 4265,6934;
PA 4271,6937;
PA 4283,6937;
PA 4289,6934;
PA 4292,6931;
PA 4295,6925;
PA 4295,6922;
PA 4292,6916;
PA 4289,6913;
PA 4283,6910;
PA 4271,6910;
PA 4265,6907;
PA 4262,6904;
PA 4259,6899;
PA 4259,6887;
PA 4262,6882;
PA 4265,6879;
PA 4271,6876;
PA 4283,6876;
PA 4289,6879;
PA 4292,6882;
PA 4295,6887;
PA 4295,6899;
PA 4292,6904;
PA 4289,6907;
PA 4283,6910;
PU;PA 4356,6882;
PD;PA 4353,6879;
PA 4344,6876;
PA 4338,6876;
PA 4330,6879;
PA 4323,6884;
PA 4320,6890;
PA 4317,6902;
PA 4317,6910;
PA 4320,6922;
PA 4323,6928;
PA 4330,6934;
PA 4338,6937;
PA 4344,6937;
PA 4353,6934;
PA 4356,6931;
PU;PA 4228,7335;
PD;PA 4198,7335;
PA 4198,7396;
PU;PA 4248,7335;
PD;PA 4248,7396;
PA 4268,7352;
PA 4289,7396;
PA 4289,7335;
PU;PA 4313,7396;
PD;PA 4351,7396;
PA 4331,7372;
PA 4339,7372;
PA 4345,7369;
PA 4348,7366;
PA 4351,7361;
PA 4351,7346;
PA 4348,7341;
PA 4345,7338;
PA 4339,7335;
PA 4321,7335;
PA 4315,7338;
PA 4313,7341;
PU;PA 4373,7390;
PD;PA 4377,7393;
PA 4383,7396;
PA 4397,7396;
PA 4403,7393;
PA 4406,7390;
PA 4409,7384;
PA 4409,7379;
PA 4406,7369;
PA 4371,7335;
PA 4409,7335;
PU;PA 4461,7376;
PD;PA 4461,7335;
PU;PA 4447,7399;
PD;PA 4432,7355;
PA 4470,7355;
PU;PA 867,5324;
PD;PA 1276,5529;
PA 867,5733;
PA 867,5324;
PU;PA 969,5376;
PD;PA 969,5120;
PU;PA 947,5400;
PD;PA 988,5413;
PA 947,5427;
PU;PA 972,5441;
PD;PA 972,5471;
PU;PA 988,5456;
PD;PA 957,5456;
PU;PA 930,5256;
PD;PA 957,5256;
PU;PA 914,5246;
PD;PA 944,5237;
PA 944,5261;
PU;PA 969,5682;
PD;PA 969,5937;
PU;PA 947,5580;
PD;PA 988,5593;
PA 947,5606;
PU;PA 972,5620;
PD;PA 972,5651;
PU;PA 957,5801;
PD;PA 957,5779;
PU;PA 957,5790;
PD;PA 916,5790;
PA 922,5786;
PA 927,5782;
PA 929,5779;
PU;PA 957,5840;
PD;PA 957,5817;
PU;PA 957,5829;
PD;PA 916,5829;
PA 922,5825;
PA 927,5820;
PA 929,5817;
PU;PA 1276,5529;
PD;PA 1582,5529;
PU;PA 1440,5541;
PD;PA 1417,5541;
PU;PA 1429,5541;
PD;PA 1429,5582;
PA 1424,5576;
PA 1420,5571;
PA 1417,5569;
PU;PA 867,5631;
PD;PA 561,5631;
PU;PA 898,5628;
PD;PA 929,5628;
PU;PA 703,5680;
PD;PA 705,5682;
PA 708,5684;
PA 718,5684;
PA 722,5682;
PA 724,5680;
PA 726,5676;
PA 726,5671;
PA 724,5666;
PA 701,5643;
PA 726,5643;
PU;PA 867,5427;
PD;PA 561,5427;
PU;PA 898,5423;
PD;PA 929,5423;
PU;PA 913,5408;
PD;PA 913,5439;
PU;PA 701,5480;
PD;PA 726,5480;
PA 712,5464;
PA 718,5464;
PA 722,5462;
PA 724,5460;
PA 726,5456;
PA 726,5447;
PA 724,5443;
PA 722,5441;
PA 718,5439;
PA 706,5439;
PA 703,5441;
PA 701,5443;
PU;PA 1035,5355;
PD;PA 1035,5305;
PA 1038,5300;
PA 1041,5297;
PA 1047,5294;
PA 1058,5294;
PA 1064,5297;
PA 1067,5300;
PA 1070,5305;
PA 1070,5355;
PU;PA 1108,5329;
PD;PA 1102,5332;
PA 1099,5335;
PA 1096,5341;
PA 1096,5343;
PA 1099,5349;
PA 1102,5352;
PA 1108,5355;
PA 1119,5355;
PA 1126,5352;
PA 1129,5349;
PA 1132,5343;
PA 1132,5341;
PA 1129,5335;
PA 1126,5332;
PA 1119,5329;
PA 1108,5329;
PA 1102,5326;
PA 1099,5322;
PA 1096,5317;
PA 1096,5305;
PA 1099,5300;
PA 1102,5297;
PA 1108,5294;
PA 1119,5294;
PA 1126,5297;
PA 1129,5300;
PA 1132,5305;
PA 1132,5317;
PA 1129,5322;
PA 1126,5326;
PA 1119,5329;
PU;PA 1154,5311;
PD;PA 1184,5311;
PU;PA 1149,5294;
PD;PA 1169,5355;
PA 1190,5294;
PU;PA 1064,5753;
PD;PA 1035,5753;
PA 1035,5814;
PU;PA 1085,5753;
PD;PA 1085,5814;
PA 1105,5770;
PA 1126,5814;
PA 1126,5753;
PU;PA 1150,5814;
PD;PA 1188,5814;
PA 1167,5791;
PA 1176,5791;
PA 1182,5788;
PA 1185,5785;
PA 1188,5780;
PA 1188,5764;
PA 1185,5759;
PA 1182,5756;
PA 1176,5753;
PA 1158,5753;
PA 1152,5756;
PA 1150,5759;
PU;PA 1210,5808;
PD;PA 1213,5811;
PA 1219,5814;
PA 1234,5814;
PA 1240,5811;
PA 1243,5808;
PA 1246,5802;
PA 1246,5797;
PA 1243,5788;
PA 1208,5753;
PA 1246,5753;
PU;PA 1298,5794;
PD;PA 1298,5753;
PU;PA 1284,5817;
PD;PA 1268,5773;
PA 1307,5773;
PU;PA 2954,5103;
PD;PA 2974,5042;
PA 2995,5103;
PU;PA 3014,5065;
PD;PA 3061,5065;
PU;PA 3038,5042;
PD;PA 3038,5089;
PU;PA 3112,5069;
PD;PA 3082,5124;
PA 2924,5124;
PA 2924,5069;
PA 2924,5014;
PA 3082,5014;
PA 3112,5069;
PU;PA 3439,6069;
PD;PA 3439,5906;
PU;PA 3500,6069;
PD;PA 3500,5906;
PU;PA 3500,5988;
PD;PA 3673,5988;
PU;PA 3439,5988;
PD;PA 3265,5988;
PU;PA 3589,5902;
PD;PA 3591,5900;
PA 3593,5895;
PA 3593,5891;
PA 3591,5885;
PA 3587,5881;
PA 3584,5880;
PA 3576,5878;
PA 3569,5878;
PA 3562,5880;
PA 3558,5881;
PA 3554,5885;
PA 3552,5891;
PA 3552,5895;
PA 3554,5900;
PA 3556,5902;
PU;PA 3552,5940;
PD;PA 3552,5920;
PA 3571,5918;
PA 3569,5920;
PA 3567,5923;
PA 3567,5934;
PA 3569,5938;
PA 3571,5940;
PA 3576,5941;
PA 3585,5941;
PA 3589,5940;
PA 3591,5938;
PA 3593,5934;
PA 3593,5923;
PA 3591,5920;
PA 3589,5918;
PU;PA 3552,5955;
PD;PA 3552,5980;
PA 3567,5966;
PA 3567,5972;
PA 3569,5977;
PA 3571,5979;
PA 3576,5980;
PA 3585,5980;
PA 3589,5979;
PA 3591,5977;
PA 3593,5972;
PA 3593,5960;
PA 3591,5957;
PA 3589,5955;
PU;PA 3363,5866;
PD;PA 3363,5870;
PA 3365,5875;
PA 3367,5877;
PA 3371,5879;
PA 3379,5880;
PA 3389,5880;
PA 3396,5879;
PA 3400,5877;
PA 3402,5875;
PA 3404,5870;
PA 3404,5866;
PA 3402,5862;
PA 3400,5860;
PA 3396,5859;
PA 3389,5857;
PA 3379,5857;
PA 3371,5859;
PA 3367,5860;
PA 3365,5862;
PA 3363,5866;
PU;PA 3400,5898;
PD;PA 3402,5899;
PA 3404,5898;
PA 3402,5896;
PA 3400,5898;
PA 3404,5898;
PU;PA 3404,5938;
PD;PA 3404,5915;
PU;PA 3404,5927;
PD;PA 3363,5927;
PA 3369,5922;
PA 3373,5918;
PA 3376,5915;
PU;PA 3377,5973;
PD;PA 3404,5973;
PU;PA 3377,5956;
PD;PA 3398,5956;
PA 3402,5957;
PA 3404,5961;
PA 3404,5967;
PA 3402,5971;
PA 3400,5973;
PU;PA 3439,5151;
PD;PA 3439,4988;
PU;PA 3500,5151;
PD;PA 3500,4988;
PU;PA 3500,5069;
PD;PA 3673,5069;
PU;PA 3439,5069;
PD;PA 3265,5069;
PU;PA 3589,4984;
PD;PA 3591,4982;
PA 3593,4977;
PA 3593,4972;
PA 3591,4966;
PA 3587,4962;
PA 3584,4961;
PA 3576,4959;
PA 3569,4959;
PA 3562,4961;
PA 3558,4962;
PA 3554,4966;
PA 3552,4972;
PA 3552,4977;
PA 3554,4982;
PA 3556,4984;
PU;PA 3552,4998;
PD;PA 3552,5022;
PA 3567,5009;
PA 3567,5015;
PA 3569,5019;
PA 3571,5021;
PA 3576,5022;
PA 3585,5022;
PA 3589,5021;
PA 3591,5019;
PA 3593,5015;
PA 3593,5003;
PA 3591,5000;
PA 3589,4998;
PU;PA 3552,5060;
PD;PA 3552,5041;
PA 3571,5039;
PA 3569,5041;
PA 3567,5044;
PA 3567,5054;
PA 3569,5058;
PA 3571,5060;
PA 3576,5061;
PA 3585,5061;
PA 3589,5060;
PA 3591,5058;
PA 3593,5054;
PA 3593,5044;
PA 3591,5041;
PA 3589,5039;
PU;PA 3363,4948;
PD;PA 3363,4952;
PA 3365,4956;
PA 3367,4958;
PA 3371,4960;
PA 3379,4961;
PA 3389,4961;
PA 3396,4960;
PA 3400,4958;
PA 3402,4956;
PA 3404,4952;
PA 3404,4948;
PA 3402,4944;
PA 3400,4942;
PA 3396,4941;
PA 3389,4939;
PA 3379,4939;
PA 3371,4941;
PA 3367,4942;
PA 3365,4944;
PA 3363,4948;
PU;PA 3400,4980;
PD;PA 3402,4981;
PA 3404,4980;
PA 3402,4978;
PA 3400,4980;
PA 3404,4980;
PU;PA 3404,5019;
PD;PA 3404,4997;
PU;PA 3404,5008;
PD;PA 3363,5008;
PA 3369,5004;
PA 3373,5000;
PA 3376,4997;
PU;PA 3377,5055;
PD;PA 3404,5055;
PU;PA 3377,5038;
PD;PA 3398,5038;
PA 3402,5039;
PA 3404,5043;
PA 3404,5049;
PA 3402,5053;
PA 3400,5055;
PU;PA 3673,5018;
PD;PA 3724,5069;
PA 3673,5120;
PA 3673,5018;
PU;PA 3673,5937;
PD;PA 3724,5988;
PA 3673,6039;
PA 3673,5937;
PU;PA 1378,3692;
EA 1888,4304;
PU;PA 1378,4100;
PD;PA 1071,4100;
PU;PA 1423,4128;
PD;PA 1440,4077;
PA 1457,4128;
PU;PA 1474,4077;
PD;PA 1474,4111;
PU;PA 1474,4128;
PD;PA 1472,4126;
PA 1474,4123;
PA 1477,4126;
PA 1474,4128;
PA 1474,4123;
PU;PA 1499,4111;
PD;PA 1499,4077;
PU;PA 1499,4106;
PD;PA 1501,4108;
PA 1506,4111;
PA 1513,4111;
PA 1518,4108;
PA 1520,4104;
PA 1520,4077;
PU;PA 1239,4112;
PD;PA 1210,4112;
PU;PA 1224,4112;
PD;PA 1224,4163;
PA 1219,4156;
PA 1214,4151;
PA 1210,4149;
PU;PA 1378,3998;
PD;PA 1071,3998;
PU;PA 1457,4023;
PD;PA 1452,4026;
PA 1445,4026;
PA 1438,4023;
PA 1433,4018;
PA 1431,4013;
PA 1429,4004;
PA 1429,3997;
PA 1431,3987;
PA 1433,3983;
PA 1438,3978;
PA 1445,3974;
PA 1450,3974;
PA 1457,3978;
PA 1459,3980;
PA 1459,3997;
PA 1450,3997;
PU;PA 1482,3974;
PD;PA 1482,4026;
PA 1510,3974;
PA 1510,4026;
PU;PA 1535,3974;
PD;PA 1535,4026;
PA 1547,4026;
PA 1554,4023;
PA 1559,4018;
PA 1561,4013;
PA 1563,4004;
PA 1563,3997;
PA 1561,3987;
PA 1559,3983;
PA 1554,3978;
PA 1547,3974;
PA 1535,3974;
PU;PA 1210,4057;
PD;PA 1212,4059;
PA 1217,4061;
PA 1230,4061;
PA 1234,4059;
PA 1237,4057;
PA 1239,4052;
PA 1239,4047;
PA 1237,4040;
PA 1207,4010;
PA 1239,4010;
PU;PA 1378,3896;
PD;PA 1071,3896;
PU;PA 1459,3878;
PD;PA 1457,3876;
PA 1450,3872;
PA 1445,3872;
PA 1438,3876;
PA 1433,3881;
PA 1431,3885;
PA 1429,3895;
PA 1429,3902;
PA 1431,3911;
PA 1433,3916;
PA 1438,3921;
PA 1445,3923;
PA 1450,3923;
PA 1457,3921;
PA 1459,3919;
PU;PA 1482,3892;
PD;PA 1520,3892;
PU;PA 1207,3959;
PD;PA 1239,3959;
PA 1221,3940;
PA 1230,3940;
PA 1234,3938;
PA 1237,3936;
PA 1239,3931;
PA 1239,3918;
PA 1237,3913;
PA 1234,3911;
PA 1230,3908;
PA 1214,3908;
PA 1210,3911;
PA 1207,3913;
PU;PA 1888,3896;
PD;PA 2194,3896;
PU;PA 1651,3876;
PD;PA 1658,3872;
PA 1670,3872;
PA 1674,3876;
PA 1678,3878;
PA 1680,3883;
PA 1680,3888;
PA 1678,3892;
PA 1674,3895;
PA 1670,3897;
PA 1660,3900;
PA 1655,3902;
PA 1653,3904;
PA 1651,3909;
PA 1651,3914;
PA 1653,3919;
PA 1655,3921;
PA 1660,3923;
PA 1672,3923;
PA 1680,3921;
PU;PA 1702,3872;
PD;PA 1702,3923;
PU;PA 1702,3900;
PD;PA 1731,3900;
PU;PA 1731,3872;
PD;PA 1731,3923;
PU;PA 1755,3872;
PD;PA 1755,3923;
PA 1767,3923;
PA 1774,3921;
PA 1780,3916;
PA 1782,3911;
PA 1784,3902;
PA 1784,3895;
PA 1782,3885;
PA 1780,3881;
PA 1774,3876;
PA 1767,3872;
PA 1755,3872;
PU;PA 1806,3872;
PD;PA 1806,3923;
PA 1835,3872;
PA 1835,3923;
PU;PA 2050,3943;
PD;PA 2050,3908;
PU;PA 2038,3962;
PD;PA 2027,3926;
PA 2057,3926;
PU;PA 1888,3998;
PD;PA 2194,3998;
PU;PA 1762,4026;
PD;PA 1779,3974;
PA 1796,4026;
PU;PA 1820,3974;
PD;PA 1815,3978;
PA 1813,3980;
PA 1811,3985;
PA 1811,3999;
PA 1813,4004;
PA 1815,4006;
PA 1820,4009;
PA 1828,4009;
PA 1833,4006;
PA 1835,4004;
PA 1838,3999;
PA 1838,3985;
PA 1835,3980;
PA 1833,3978;
PA 1828,3974;
PA 1820,3974;
PU;PA 2053,4061;
PD;PA 2029,4061;
PA 2027,4038;
PA 2029,4040;
PA 2034,4042;
PA 2046,4042;
PA 2050,4040;
PA 2053,4038;
PA 2055,4033;
PA 2055,4020;
PA 2053,4015;
PA 2050,4013;
PA 2046,4010;
PA 2034,4010;
PA 2029,4013;
PA 2027,4015;
PU;PA 1888,4100;
PD;PA 2194,4100;
PU;PA 1773,4082;
PD;PA 1771,4080;
PA 1764,4077;
PA 1759,4077;
PA 1752,4080;
PA 1747,4085;
PA 1745,4089;
PA 1743,4099;
PA 1743,4106;
PA 1745,4115;
PA 1747,4120;
PA 1752,4126;
PA 1759,4128;
PA 1764,4128;
PA 1771,4126;
PA 1773,4123;
PU;PA 1796,4096;
PD;PA 1835,4096;
PU;PA 1815,4077;
PD;PA 1815,4115;
PU;PA 2050,4163;
PD;PA 2041,4163;
PA 2036,4161;
PA 2034,4159;
PA 2029,4151;
PA 2027,4142;
PA 2027,4122;
PA 2029,4117;
PA 2031,4115;
PA 2036,4112;
PA 2046,4112;
PA 2050,4115;
PA 2053,4117;
PA 2055,4122;
PA 2055,4135;
PA 2053,4140;
PA 2050,4142;
PA 2046,4144;
PA 2036,4144;
PA 2031,4142;
PA 2029,4140;
PA 2027,4135;
PU;PA 1569,3824;
PD;PA 1569,3784;
PA 1571,3779;
PA 1574,3777;
PA 1579,3773;
PA 1589,3773;
PA 1594,3777;
PA 1596,3779;
PA 1598,3784;
PA 1598,3824;
PU;PA 1649,3773;
PD;PA 1620,3773;
PU;PA 1635,3773;
PD;PA 1635,3824;
PA 1630,3817;
PA 1624,3812;
PA 1620,3810;
PU;PA 1681,3824;
PD;PA 1686,3824;
PA 1691,3822;
PA 1693,3820;
PA 1696,3815;
PA 1698,3805;
PA 1698,3793;
PA 1696,3784;
PA 1693,3779;
PA 1691,3777;
PA 1686,3773;
PA 1681,3773;
PA 1677,3777;
PA 1673,3779;
PA 1671,3784;
PA 1669,3793;
PA 1669,3805;
PA 1671,3815;
PA 1673,3820;
PA 1677,3822;
PA 1681,3824;
PU;PA 1473,4233;
PD;PA 1502,4233;
PU;PA 1488,4182;
PD;PA 1488,4233;
PU;PA 1548,4187;
PD;PA 1546,4185;
PA 1539,4182;
PA 1534,4182;
PA 1527,4185;
PA 1521,4190;
PA 1519,4194;
PA 1517,4204;
PA 1517,4211;
PA 1519,4220;
PA 1521,4226;
PA 1527,4231;
PA 1534,4233;
PA 1539,4233;
PA 1546,4231;
PA 1548,4229;
PU;PA 1597,4182;
PD;PA 1568,4182;
PU;PA 1583,4182;
PD;PA 1583,4233;
PA 1578,4226;
PA 1572,4220;
PA 1568,4218;
PU;PA 1617,4229;
PD;PA 1619,4231;
PA 1624,4233;
PA 1637,4233;
PA 1641,4231;
PA 1644,4229;
PA 1646,4223;
PA 1646,4218;
PA 1644,4211;
PA 1614,4182;
PA 1646,4182;
PU;PA 1690,4216;
PD;PA 1690,4182;
PU;PA 1678,4236;
PD;PA 1666,4199;
PA 1697,4199;
PU;PA 1727,4233;
PD;PA 1732,4233;
PA 1737,4231;
PA 1739,4229;
PA 1742,4223;
PA 1744,4213;
PA 1744,4201;
PA 1742,4192;
PA 1739,4187;
PA 1737,4185;
PA 1732,4182;
PA 1727,4182;
PA 1722,4185;
PA 1719,4187;
PA 1717,4192;
PA 1715,4201;
PA 1715,4213;
PA 1717,4223;
PA 1719,4229;
PA 1722,4231;
PA 1727,4233;
PU;PA 1764,4197;
PD;PA 1788,4197;
PU;PA 1759,4182;
PD;PA 1776,4233;
PA 1793,4182;
PU;PA 557,4096;
PD;PA 604,4096;
PU;PA 581,4072;
PD;PA 581,4119;
PU;PA 662,4134;
PD;PA 633,4134;
PA 630,4104;
PA 633,4107;
PA 639,4110;
PA 653,4110;
PA 659,4107;
PA 662,4104;
PA 665,4099;
PA 665,4084;
PA 662,4079;
PA 659,4076;
PA 653,4072;
PA 639,4072;
PA 633,4076;
PA 630,4079;
PU;PA 683,4134;
PD;PA 703,4072;
PA 723,4134;
PU;PA 765,4100;
PD;PA 735,4155;
PA 519,4155;
PA 519,4100;
PA 519,4045;
PA 735,4045;
PA 765,4100;
PU;PA 918,4049;
PD;PA 867,3998;
PA 918,3947;
PA 918,4049;
PU;PA 2194,3845;
PD;PA 2245,3896;
PA 2194,3947;
PA 2194,3845;
PU;PA 1684,3620;
PD;PA 1582,3620;
PA 1582,3457;
PA 1684,3457;
PU;PA 1684,3590;
PD;PA 1612,3590;
PA 1612,3488;
PA 1684,3488;
PA 1684,3590;
PU;PA 1684,3539;
PD;PA 1837,3539;
PU;PA 1582,3539;
PD;PA 1429,3539;
PU;PA 1752,3402;
PD;PA 1754,3400;
PA 1756,3395;
PA 1756,3391;
PA 1754,3385;
PA 1750,3381;
PA 1747,3380;
PA 1739,3378;
PA 1733,3378;
PA 1726,3380;
PA 1721,3381;
PA 1717,3385;
PA 1715,3391;
PA 1715,3395;
PA 1717,3400;
PA 1719,3402;
PU;PA 1715,3416;
PD;PA 1715,3441;
PA 1731,3428;
PA 1731,3434;
PA 1733,3438;
PA 1735,3440;
PA 1739,3441;
PA 1748,3441;
PA 1752,3440;
PA 1754,3438;
PA 1756,3434;
PA 1756,3421;
PA 1754,3418;
PA 1752,3416;
PU;PA 1756,3480;
PD;PA 1756,3457;
PU;PA 1756,3468;
PD;PA 1715,3468;
PA 1721,3464;
PA 1726,3460;
PA 1728,3457;
PU;PA 1552,3365;
PD;PA 1552,3343;
PU;PA 1552,3354;
PD;PA 1511,3354;
PA 1517,3350;
PA 1521,3346;
PA 1523,3343;
PU;PA 1511,3391;
PD;PA 1511,3395;
PA 1513,3399;
PA 1515,3401;
PA 1519,3403;
PA 1527,3404;
PA 1537,3404;
PA 1544,3403;
PA 1548,3401;
PA 1550,3399;
PA 1552,3395;
PA 1552,3391;
PA 1550,3387;
PA 1548,3385;
PA 1544,3384;
PA 1537,3382;
PA 1527,3382;
PA 1519,3384;
PA 1515,3385;
PA 1513,3387;
PA 1511,3391;
PU;PA 1511,3430;
PD;PA 1511,3434;
PA 1513,3438;
PA 1515,3440;
PA 1519,3442;
PA 1527,3443;
PA 1537,3443;
PA 1544,3442;
PA 1548,3440;
PA 1550,3438;
PA 1552,3434;
PA 1552,3430;
PA 1550,3426;
PA 1548,3423;
PA 1544,3422;
PA 1537,3420;
PA 1527,3420;
PA 1519,3422;
PA 1515,3423;
PA 1513,3426;
PA 1511,3430;
PU;PA 1524,3479;
PD;PA 1552,3479;
PU;PA 1524,3461;
PD;PA 1546,3461;
PA 1550,3462;
PA 1552,3466;
PA 1552,3472;
PA 1550,3477;
PA 1548,3479;
PU;PA 4541,3590;
EA 4031,4304;
PU;PA 4541,4100;
PD;PA 4643,4100;
PU;PA 4391,4104;
PD;PA 4398,4101;
PA 4400,4099;
PA 4402,4094;
PA 4402,4087;
PA 4400,4082;
PA 4398,4080;
PA 4393,4077;
PA 4373,4077;
PA 4373,4128;
PA 4391,4128;
PA 4395,4126;
PA 4398,4123;
PA 4400,4118;
PA 4400,4113;
PA 4398,4108;
PA 4395,4106;
PA 4391,4104;
PA 4373,4104;
PU;PA 4422,4080;
PD;PA 4430,4077;
PA 4442,4077;
PA 4446,4080;
PA 4449,4082;
PA 4451,4087;
PA 4451,4092;
PA 4449,4096;
PA 4446,4099;
PA 4442,4101;
PA 4432,4104;
PA 4427,4106;
PA 4424,4108;
PA 4422,4113;
PA 4422,4118;
PA 4424,4123;
PA 4427,4126;
PA 4432,4128;
PA 4444,4128;
PA 4451,4126;
PU;PA 4466,4128;
PD;PA 4495,4128;
PU;PA 4481,4077;
PD;PA 4481,4128;
PU;PA 4606,4112;
PD;PA 4578,4112;
PU;PA 4592,4112;
PD;PA 4592,4163;
PA 4587,4156;
PA 4582,4151;
PA 4578,4149;
PU;PA 4541,3998;
PD;PA 4643,3998;
PU;PA 4427,3980;
PD;PA 4424,3978;
PA 4417,3974;
PA 4412,3974;
PA 4405,3978;
PA 4400,3983;
PA 4398,3987;
PA 4396,3997;
PA 4396,4004;
PA 4398,4013;
PA 4400,4018;
PA 4405,4023;
PA 4412,4026;
PA 4417,4026;
PA 4424,4023;
PA 4427,4021;
PU;PA 4449,3994;
PD;PA 4488,3994;
PU;PA 4468,3974;
PD;PA 4468,4013;
PU;PA 4578,4057;
PD;PA 4580,4059;
PA 4585,4061;
PA 4597,4061;
PA 4601,4059;
PA 4604,4057;
PA 4606,4052;
PA 4606,4047;
PA 4604,4040;
PA 4574,4010;
PA 4606,4010;
PU;PA 4541,3896;
PD;PA 4643,3896;
PU;PA 4384,3921;
PD;PA 4379,3923;
PA 4371,3923;
PA 4364,3921;
PA 4359,3916;
PA 4357,3911;
PA 4355,3902;
PA 4355,3895;
PA 4357,3885;
PA 4359,3881;
PA 4364,3876;
PA 4371,3872;
PA 4377,3872;
PA 4384,3876;
PA 4386,3878;
PA 4386,3895;
PA 4377,3895;
PU;PA 4408,3872;
PD;PA 4408,3923;
PA 4437,3872;
PA 4437,3923;
PU;PA 4461,3872;
PD;PA 4461,3923;
PA 4473,3923;
PA 4481,3921;
PA 4486,3916;
PA 4488,3911;
PA 4490,3902;
PA 4490,3895;
PA 4488,3885;
PA 4486,3881;
PA 4481,3876;
PA 4473,3872;
PA 4461,3872;
PU;PA 4574,3959;
PD;PA 4606,3959;
PA 4589,3940;
PA 4597,3940;
PA 4601,3938;
PA 4604,3936;
PA 4606,3931;
PA 4606,3918;
PA 4604,3913;
PA 4601,3911;
PA 4597,3908;
PA 4582,3908;
PA 4578,3911;
PA 4574,3913;
PU;PA 4541,3794;
PD;PA 4643,3794;
PU;PA 4427,3776;
PD;PA 4424,3773;
PA 4417,3770;
PA 4412,3770;
PA 4405,3773;
PA 4400,3779;
PA 4398,3783;
PA 4396,3793;
PA 4396,3800;
PA 4398,3809;
PA 4400,3814;
PA 4405,3819;
PA 4412,3821;
PA 4417,3821;
PA 4424,3819;
PA 4427,3817;
PU;PA 4449,3790;
PD;PA 4488,3790;
PU;PA 4601,3841;
PD;PA 4601,3806;
PU;PA 4589,3860;
PD;PA 4578,3823;
PA 4608,3823;
PU;PA 4031,3794;
PD;PA 3929,3794;
PU;PA 4077,3821;
PD;PA 4093,3770;
PA 4110,3821;
PU;PA 4135,3770;
PD;PA 4130,3773;
PA 4128,3776;
PA 4126,3781;
PA 4126,3795;
PA 4128,3800;
PA 4130,3802;
PA 4135,3805;
PA 4142,3805;
PA 4147,3802;
PA 4149,3800;
PA 4152,3795;
PA 4152,3781;
PA 4149,3776;
PA 4147,3773;
PA 4142,3770;
PA 4135,3770;
PU;PA 4195,3805;
PD;PA 4195,3770;
PU;PA 4173,3805;
PD;PA 4173,3779;
PA 4176,3773;
PA 4181,3770;
PA 4188,3770;
PA 4193,3773;
PA 4195,3776;
PU;PA 4212,3805;
PD;PA 4232,3805;
PU;PA 4219,3821;
PD;PA 4219,3779;
PA 4221,3773;
PA 4227,3770;
PA 4232,3770;
PU;PA 3992,3857;
PD;PA 3967,3857;
PA 3965,3834;
PA 3967,3836;
PA 3972,3838;
PA 3985,3838;
PA 3989,3836;
PA 3992,3834;
PA 3994,3829;
PA 3994,3816;
PA 3992,3811;
PA 3989,3809;
PA 3985,3806;
PA 3972,3806;
PA 3967,3809;
PA 3965,3811;
PU;PA 4031,3896;
PD;PA 3929,3896;
PU;PA 4108,3872;
PD;PA 4084,3872;
PA 4084,3923;
PU;PA 4117,3923;
PD;PA 4134,3872;
PA 4151,3923;
PU;PA 3989,3959;
PD;PA 3980,3959;
PA 3974,3957;
PA 3972,3955;
PA 3967,3947;
PA 3965,3938;
PA 3965,3918;
PA 3967,3913;
PA 3969,3911;
PA 3974,3908;
PA 3985,3908;
PA 3989,3911;
PA 3992,3913;
PA 3994,3918;
PA 3994,3931;
PA 3992,3936;
PA 3989,3938;
PA 3985,3940;
PA 3974,3940;
PA 3969,3938;
PA 3967,3936;
PA 3965,3931;
PU;PA 4031,3998;
PD;PA 3929,3998;
PU;PA 4093,4026;
PD;PA 4103,4026;
PA 4108,4023;
PA 4112,4018;
PA 4115,4009;
PA 4115,3992;
PA 4112,3983;
PA 4108,3978;
PA 4103,3974;
PA 4093,3974;
PA 4089,3978;
PA 4084,3983;
PA 4082,3992;
PA 4082,4009;
PA 4084,4018;
PA 4089,4023;
PA 4093,4026;
PU;PA 4135,3978;
PD;PA 4142,3974;
PA 4154,3974;
PA 4158,3978;
PA 4161,3980;
PA 4163,3985;
PA 4163,3990;
PA 4161,3994;
PA 4158,3997;
PA 4154,3999;
PA 4144,4002;
PA 4139,4004;
PA 4137,4006;
PA 4135,4011;
PA 4135,4016;
PA 4137,4021;
PA 4139,4023;
PA 4144,4026;
PA 4156,4026;
PA 4163,4023;
PU;PA 4214,3980;
PD;PA 4212,3978;
PA 4205,3974;
PA 4200,3974;
PA 4193,3978;
PA 4188,3983;
PA 4186,3987;
PA 4184,3997;
PA 4184,4004;
PA 4186,4013;
PA 4188,4018;
PA 4193,4023;
PA 4200,4026;
PA 4205,4026;
PA 4212,4023;
PA 4214,4021;
PU;PA 3962,4061;
PD;PA 3996,4061;
PA 3974,4010;
PU;PA 4031,4100;
PD;PA 3929,4100;
PU;PA 4077,4128;
PD;PA 4093,4077;
PA 4110,4128;
PU;PA 4149,4080;
PD;PA 4145,4077;
PA 4135,4077;
PA 4130,4080;
PA 4128,4082;
PA 4126,4087;
PA 4126,4101;
PA 4128,4106;
PA 4130,4108;
PA 4135,4111;
PA 4145,4111;
PA 4149,4108;
PU;PA 4193,4080;
PD;PA 4189,4077;
PA 4179,4077;
PA 4173,4080;
PA 4171,4082;
PA 4169,4087;
PA 4169,4101;
PA 4171,4106;
PA 4173,4108;
PA 4179,4111;
PA 4189,4111;
PA 4193,4108;
PU;PA 3974,4142;
PD;PA 3969,4144;
PA 3967,4147;
PA 3965,4151;
PA 3965,4154;
PA 3967,4159;
PA 3969,4161;
PA 3974,4163;
PA 3985,4163;
PA 3989,4161;
PA 3992,4159;
PA 3994,4154;
PA 3994,4151;
PA 3992,4147;
PA 3989,4144;
PA 3985,4142;
PA 3974,4142;
PA 3969,4140;
PA 3967,4137;
PA 3965,4132;
PA 3965,4122;
PA 3967,4117;
PA 3969,4115;
PA 3974,4112;
PA 3985,4112;
PA 3989,4115;
PA 3992,4117;
PA 3994,4122;
PA 3994,4132;
PA 3992,4137;
PA 3989,4140;
PA 3985,4142;
PU;PA 4222,3722;
PD;PA 4222,3682;
PA 4224,3677;
PA 4228,3674;
PA 4232,3671;
PA 4242,3671;
PA 4247,3674;
PA 4249,3677;
PA 4251,3682;
PA 4251,3722;
PU;PA 4302,3671;
PD;PA 4273,3671;
PU;PA 4288,3671;
PD;PA 4288,3722;
PA 4283,3715;
PA 4278,3710;
PA 4273,3708;
PU;PA 4322,3718;
PD;PA 4324,3720;
PA 4330,3722;
PA 4342,3722;
PA 4346,3720;
PA 4349,3718;
PA 4351,3713;
PA 4351,3708;
PA 4349,3701;
PA 4319,3671;
PA 4351,3671;
PU;PA 4195,4233;
PD;PA 4229,4233;
PA 4207,4182;
PU;PA 4270,4233;
PD;PA 4261,4233;
PA 4256,4231;
PA 4254,4229;
PA 4249,4220;
PA 4247,4211;
PA 4247,4192;
PA 4249,4187;
PA 4251,4185;
PA 4256,4182;
PA 4266,4182;
PA 4270,4185;
PA 4273,4187;
PA 4276,4192;
PA 4276,4204;
PA 4273,4209;
PA 4270,4211;
PA 4266,4213;
PA 4256,4213;
PA 4251,4211;
PA 4249,4209;
PA 4247,4204;
PU;PA 4319,4233;
PD;PA 4310,4233;
PA 4305,4231;
PA 4303,4229;
PA 4298,4220;
PA 4296,4211;
PA 4296,4192;
PA 4298,4187;
PA 4300,4185;
PA 4305,4182;
PA 4315,4182;
PA 4319,4185;
PA 4322,4187;
PA 4324,4192;
PA 4324,4204;
PA 4322,4209;
PA 4319,4211;
PA 4315,4213;
PA 4305,4213;
PA 4300,4211;
PA 4298,4209;
PA 4296,4204;
PU;PA 4356,4233;
PD;PA 4361,4233;
PA 4366,4231;
PA 4368,4229;
PA 4371,4223;
PA 4373,4213;
PA 4373,4201;
PA 4371,4192;
PA 4368,4187;
PA 4366,4185;
PA 4361,4182;
PA 4356,4182;
PA 4352,4185;
PA 4349,4187;
PA 4347,4192;
PA 4345,4201;
PA 4345,4213;
PA 4347,4223;
PA 4349,4229;
PA 4352,4231;
PA 4356,4233;
PU;PA 2520,3845;
PD;PA 2520,3743;
PA 2684,3743;
PA 2684,3845;
PU;PA 2551,3845;
PD;PA 2551,3773;
PA 2653,3773;
PA 2653,3845;
PA 2551,3845;
PU;PA 2602,3845;
PD;PA 2602,3998;
PU;PA 2602,3743;
PD;PA 2602,3590;
PU;PA 2686,3885;
PD;PA 2684,3883;
PA 2679,3881;
PA 2674,3881;
PA 2668,3883;
PA 2664,3887;
PA 2663,3890;
PA 2661,3898;
PA 2661,3904;
PA 2663,3911;
PA 2664,3915;
PA 2668,3919;
PA 2674,3921;
PA 2679,3921;
PA 2684,3919;
PA 2686,3917;
PU;PA 2700,3921;
PD;PA 2724,3921;
PA 2711,3906;
PA 2717,3906;
PA 2721,3904;
PA 2723,3902;
PA 2724,3898;
PA 2724,3889;
PA 2723,3885;
PA 2721,3883;
PA 2717,3881;
PA 2705,3881;
PA 2702,3883;
PA 2700,3885;
PU;PA 2741,3917;
PD;PA 2743,3919;
PA 2746,3921;
PA 2756,3921;
PA 2760,3919;
PA 2762,3917;
PA 2763,3913;
PA 2763,3909;
PA 2762,3904;
PA 2739,3881;
PA 2763,3881;
PU;PA 2684,3677;
PD;PA 2661,3677;
PU;PA 2672,3677;
PD;PA 2672,3717;
PA 2668,3711;
PA 2664,3707;
PA 2661,3705;
PU;PA 2709,3717;
PD;PA 2713,3717;
PA 2717,3715;
PA 2719,3713;
PA 2721,3709;
PA 2722,3702;
PA 2722,3692;
PA 2721,3685;
PA 2719,3681;
PA 2717,3679;
PA 2713,3677;
PA 2709,3677;
PA 2705,3679;
PA 2703,3681;
PA 2702,3685;
PA 2700,3692;
PA 2700,3702;
PA 2702,3709;
PA 2703,3713;
PA 2705,3715;
PA 2709,3717;
PU;PA 2748,3717;
PD;PA 2752,3717;
PA 2756,3715;
PA 2758,3713;
PA 2760,3709;
PA 2761,3702;
PA 2761,3692;
PA 2760,3685;
PA 2758,3681;
PA 2756,3679;
PA 2752,3677;
PA 2748,3677;
PA 2744,3679;
PA 2742,3681;
PA 2741,3685;
PA 2739,3692;
PA 2739,3702;
PA 2741,3709;
PA 2742,3713;
PA 2744,3715;
PA 2748,3717;
PU;PA 2797,3704;
PD;PA 2797,3677;
PU;PA 2780,3704;
PD;PA 2780,3683;
PA 2781,3679;
PA 2785,3677;
PA 2791,3677;
PA 2795,3679;
PA 2797,3681;
PU;PA 2551,3590;
PD;PA 2602,3539;
PA 2653,3590;
PA 2551,3590;
PU;PA 2551,4253;
PD;PA 2653,4253;
PU;PA 2551,4151;
PD;PA 2602,4253;
PA 2653,4151;
PA 2551,4151;
PU;PA 2602,4151;
PD;PA 2602,3998;
PU;PA 2602,4253;
PD;PA 2602,4406;
PU;PA 2515,4153;
PD;PA 2474,4153;
PA 2474,4162;
PA 2477,4168;
PA 2481,4172;
PA 2485,4173;
PA 2492,4176;
PA 2498,4176;
PA 2506,4173;
PA 2509,4172;
PA 2513,4168;
PA 2515,4162;
PA 2515,4153;
PU;PA 2515,4214;
PD;PA 2515,4192;
PU;PA 2515,4203;
PD;PA 2474,4203;
PA 2481,4199;
PA 2485,4195;
PA 2487,4192;
PU;PA 2474,4240;
PD;PA 2474,4244;
PA 2477,4248;
PA 2479,4250;
PA 2483,4252;
PA 2490,4253;
PA 2500,4253;
PA 2507,4252;
PA 2511,4250;
PA 2513,4248;
PA 2515,4244;
PA 2515,4240;
PA 2513,4236;
PA 2511,4234;
PA 2507,4233;
PA 2500,4231;
PA 2490,4231;
PA 2483,4233;
PA 2479,4234;
PA 2477,4236;
PA 2474,4240;
PU;PA 2692,4152;
PD;PA 2719,4152;
PU;PA 2677,4142;
PD;PA 2706,4133;
PA 2706,4157;
PU;PA 2719,4194;
PD;PA 2719,4171;
PU;PA 2719,4183;
PD;PA 2679,4183;
PA 2685,4179;
PA 2689,4174;
PA 2691,4171;
PU;PA 2692,4230;
PD;PA 2719,4230;
PU;PA 2677,4219;
PD;PA 2706,4210;
PA 2706,4235;
PU;PA 2696,4256;
PD;PA 2694,4252;
PA 2692,4251;
PA 2689,4249;
PA 2687,4249;
PA 2683,4251;
PA 2681,4252;
PA 2679,4256;
PA 2679,4264;
PA 2681,4268;
PA 2683,4270;
PA 2687,4271;
PA 2689,4271;
PA 2692,4270;
PA 2694,4268;
PA 2696,4264;
PA 2696,4256;
PA 2698,4252;
PA 2700,4251;
PA 2704,4249;
PA 2711,4249;
PA 2715,4251;
PA 2717,4252;
PA 2719,4256;
PA 2719,4264;
PA 2717,4268;
PA 2715,4270;
PA 2711,4271;
PA 2704,4271;
PA 2700,4270;
PA 2698,4268;
PA 2696,4264;
PU;PA 3010,4651;
EA 2704,4569;
PU;PA 3010,4610;
PD;PA 3112,4610;
PU;PA 2704,4610;
PD;PA 2602,4610;
PU;PA 2831,4513;
PD;PA 2817,4533;
PU;PA 2808,4513;
PD;PA 2808,4554;
PA 2823,4554;
PA 2828,4552;
PA 2829,4550;
PA 2831,4546;
PA 2831,4541;
PA 2829,4537;
PA 2828,4535;
PA 2823,4533;
PA 2808,4533;
PU;PA 2847,4550;
PD;PA 2849,4552;
PA 2852,4554;
PA 2862,4554;
PA 2866,4552;
PA 2868,4550;
PA 2869,4546;
PA 2869,4542;
PA 2868,4537;
PA 2845,4513;
PA 2869,4513;
PU;PA 2905,4554;
PD;PA 2897,4554;
PA 2893,4552;
PA 2891,4550;
PA 2888,4544;
PA 2886,4537;
PA 2886,4521;
PA 2888,4517;
PA 2889,4515;
PA 2893,4513;
PA 2901,4513;
PA 2905,4515;
PA 2907,4517;
PA 2908,4521;
PA 2908,4531;
PA 2907,4535;
PA 2905,4537;
PA 2901,4539;
PA 2893,4539;
PA 2889,4537;
PA 2888,4535;
PA 2886,4531;
PU;PA 2828,4624;
PD;PA 2830,4627;
PA 2833,4629;
PA 2843,4629;
PA 2847,4627;
PA 2849,4624;
PA 2850,4620;
PA 2850,4616;
PA 2849,4611;
PA 2826,4588;
PA 2850,4588;
PU;PA 2873,4611;
PD;PA 2869,4613;
PA 2868,4615;
PA 2866,4618;
PA 2866,4620;
PA 2868,4624;
PA 2869,4627;
PA 2873,4629;
PA 2882,4629;
PA 2886,4627;
PA 2888,4624;
PA 2889,4620;
PA 2889,4618;
PA 2888,4615;
PA 2886,4613;
PA 2882,4611;
PA 2873,4611;
PA 2869,4609;
PA 2868,4607;
PA 2866,4603;
PA 2866,4596;
PA 2868,4592;
PA 2869,4590;
PA 2873,4588;
PA 2882,4588;
PA 2886,4590;
PA 2888,4592;
PA 2889,4596;
PA 2889,4603;
PA 2888,4607;
PA 2886,4609;
PA 2882,4611;
PU;PA 3031,4376;
PD;PA 3194,4376;
PU;PA 3031,4437;
PD;PA 3194,4437;
PU;PA 3112,4437;
PD;PA 3112,4610;
PU;PA 3112,4376;
PD;PA 3112,4202;
PU;PA 3145,4497;
PD;PA 3143,4495;
PA 3138,4493;
PA 3134,4493;
PA 3128,4495;
PA 3123,4499;
PA 3122,4502;
PA 3120,4510;
PA 3120,4516;
PA 3122,4523;
PA 3123,4528;
PA 3128,4532;
PA 3134,4534;
PA 3138,4534;
PA 3143,4532;
PA 3145,4530;
PU;PA 3159,4534;
PD;PA 3184,4534;
PA 3170,4518;
PA 3177,4518;
PA 3181,4516;
PA 3183,4514;
PA 3184,4510;
PA 3184,4501;
PA 3183,4497;
PA 3181,4495;
PA 3177,4493;
PA 3164,4493;
PA 3161,4495;
PA 3159,4497;
PU;PA 3198,4534;
PD;PA 3222,4534;
PA 3209,4518;
PA 3215,4518;
PA 3219,4516;
PA 3221,4514;
PA 3222,4510;
PA 3222,4501;
PA 3221,4497;
PA 3219,4495;
PA 3215,4493;
PA 3203,4493;
PA 3200,4495;
PA 3198,4497;
PU;PA 3149,4304;
PD;PA 3127,4304;
PU;PA 3138,4304;
PD;PA 3138,4345;
PA 3134,4339;
PA 3130,4335;
PA 3127,4333;
PU;PA 3174,4345;
PD;PA 3179,4345;
PA 3183,4343;
PA 3185,4341;
PA 3187,4337;
PA 3188,4330;
PA 3188,4319;
PA 3187,4312;
PA 3185,4308;
PA 3183,4306;
PA 3179,4304;
PA 3174,4304;
PA 3170,4306;
PA 3168,4308;
PA 3167,4312;
PA 3165,4319;
PA 3165,4330;
PA 3167,4337;
PA 3168,4341;
PA 3170,4343;
PA 3174,4345;
PU;PA 3223,4332;
PD;PA 3223,4304;
PU;PA 3206,4332;
PD;PA 3206,4310;
PA 3207,4306;
PA 3211,4304;
PA 3217,4304;
PA 3221,4306;
PA 3223,4308;
PU;PA 3061,4202;
PD;PA 3112,4151;
PA 3163,4202;
PA 3061,4202;
PU;PA 3436,4644;
PD;PA 3456,4583;
PA 3477,4644;
PU;PA 3496,4606;
PD;PA 3543,4606;
PU;PA 3519,4583;
PD;PA 3519,4630;
PU;PA 3393,4610;
PD;PA 3423,4555;
PA 3581,4555;
PA 3581,4610;
PA 3581,4665;
PA 3423,4665;
PA 3393,4610;
PU;PA 3112,4610;
PD;PU;PA 3112,4610;
PD;PA 3112,4661;
PA 3036,4712;
PA 3112,4763;
PA 3189,4712;
PA 3112,4661;
PU;PA 3006,4782;
PD;PA 3006,4812;
PA 3018,4812;
PA 3020,4811;
PA 3022,4810;
PA 3023,4807;
PA 3023,4802;
PA 3022,4800;
PA 3020,4798;
PA 3018,4797;
PA 3006,4797;
PU;PA 3034,4812;
PD;PA 3041,4782;
PA 3047,4804;
PA 3053,4782;
PA 3060,4812;
PU;PA 3089,4782;
PD;PA 3079,4797;
PU;PA 3071,4782;
PD;PA 3071,4812;
PA 3084,4812;
PA 3086,4811;
PA 3088,4810;
PA 3089,4807;
PA 3089,4802;
PA 3088,4800;
PA 3086,4798;
PA 3084,4797;
PA 3071,4797;
PU;PA 3095,4780;
PD;PA 3118,4780;
PU;PA 3136,4798;
PD;PA 3126,4798;
PU;PA 3126,4782;
PD;PA 3126,4812;
PA 3140,4812;
PU;PA 3166,4782;
PD;PA 3152,4782;
PA 3152,4812;
PU;PA 3176,4791;
PD;PA 3190,4791;
PU;PA 3172,4782;
PD;PA 3183,4812;
PA 3193,4782;
PU;PA 3219,4811;
PD;PA 3216,4812;
PA 3212,4812;
PA 3207,4811;
PA 3205,4808;
PA 3203,4805;
PA 3202,4800;
PA 3202,4795;
PA 3203,4790;
PA 3205,4787;
PA 3207,4784;
PA 3212,4782;
PA 3215,4782;
PA 3219,4784;
PA 3220,4785;
PA 3220,4795;
PA 3215,4795;
PU;PA 4918,4049;
PD;PA 4918,3947;
PA 5082,3947;
PA 5082,4049;
PU;PA 4949,4049;
PD;PA 4949,3978;
PA 5051,3978;
PA 5051,4049;
PA 4949,4049;
PU;PA 5000,4049;
PD;PA 5000,4202;
PU;PA 5000,3947;
PD;PA 5000,3794;
PU;PA 5084,4089;
PD;PA 5082,4087;
PA 5077,4085;
PA 5072,4085;
PA 5066,4087;
PA 5062,4091;
PA 5061,4094;
PA 5059,4102;
PA 5059,4108;
PA 5061,4115;
PA 5062,4119;
PA 5066,4123;
PA 5072,4126;
PA 5077,4126;
PA 5082,4123;
PA 5084,4121;
PU;PA 5098,4126;
PD;PA 5122,4126;
PA 5109,4110;
PA 5115,4110;
PA 5119,4108;
PA 5121,4106;
PA 5122,4102;
PA 5122,4093;
PA 5121,4089;
PA 5119,4087;
PA 5115,4085;
PA 5103,4085;
PA 5100,4087;
PA 5098,4089;
PU;PA 5137,4126;
PD;PA 5163,4126;
PA 5146,4085;
PU;PA 5082,3881;
PD;PA 5059,3881;
PU;PA 5070,3881;
PD;PA 5070,3921;
PA 5066,3915;
PA 5062,3911;
PA 5059,3909;
PU;PA 5107,3921;
PD;PA 5111,3921;
PA 5115,3919;
PA 5117,3917;
PA 5119,3913;
PA 5120,3906;
PA 5120,3896;
PA 5119,3889;
PA 5117,3885;
PA 5115,3883;
PA 5111,3881;
PA 5107,3881;
PA 5103,3883;
PA 5101,3885;
PA 5100,3889;
PA 5098,3896;
PA 5098,3906;
PA 5100,3913;
PA 5101,3917;
PA 5103,3919;
PA 5107,3921;
PU;PA 5146,3921;
PD;PA 5150,3921;
PA 5154,3919;
PA 5156,3917;
PA 5158,3913;
PA 5159,3906;
PA 5159,3896;
PA 5158,3889;
PA 5156,3885;
PA 5154,3883;
PA 5150,3881;
PA 5146,3881;
PA 5142,3883;
PA 5140,3885;
PA 5139,3889;
PA 5137,3896;
PA 5137,3906;
PA 5139,3913;
PA 5140,3917;
PA 5142,3919;
PA 5146,3921;
PU;PA 5195,3908;
PD;PA 5195,3881;
PU;PA 5178,3908;
PD;PA 5178,3887;
PA 5179,3883;
PA 5183,3881;
PA 5189,3881;
PA 5193,3883;
PA 5195,3885;
PU;PA 4643,3845;
PD;PA 4694,3896;
PA 4643,3947;
PA 4643,3845;
PU;PA 4010,3539;
PD;PA 4010,3641;
PA 3847,3641;
PA 3847,3539;
PU;PA 3980,3539;
PD;PA 3980,3610;
PA 3878,3610;
PA 3878,3539;
PA 3980,3539;
PU;PA 3929,3539;
PD;PA 3929,3386;
PU;PA 3929,3641;
PD;PA 3929,3794;
PU;PA 3792,3470;
PD;PA 3790,3468;
PA 3785,3466;
PA 3781,3466;
PA 3774,3468;
PA 3770,3472;
PA 3769,3476;
PA 3767,3484;
PA 3767,3490;
PA 3769,3497;
PA 3770,3501;
PA 3774,3505;
PA 3781,3507;
PA 3785,3507;
PA 3790,3505;
PA 3792,3503;
PU;PA 3806,3507;
PD;PA 3831,3507;
PA 3817,3492;
PA 3823,3492;
PA 3828,3490;
PA 3830,3488;
PA 3831,3484;
PA 3831,3474;
PA 3830,3470;
PA 3828,3468;
PA 3823,3466;
PA 3811,3466;
PA 3808,3468;
PA 3806,3470;
PU;PA 3866,3507;
PD;PA 3858,3507;
PA 3854,3505;
PA 3852,3503;
PA 3849,3497;
PA 3847,3490;
PA 3847,3474;
PA 3849,3470;
PA 3850,3468;
PA 3854,3466;
PA 3862,3466;
PA 3866,3468;
PA 3868,3470;
PA 3869,3474;
PA 3869,3484;
PA 3868,3488;
PA 3866,3490;
PA 3862,3492;
PA 3854,3492;
PA 3850,3490;
PA 3849,3488;
PA 3847,3484;
PU;PA 3755,3670;
PD;PA 3733,3670;
PU;PA 3744,3670;
PD;PA 3744,3711;
PA 3740,3705;
PA 3736,3701;
PA 3733,3699;
PU;PA 3781,3711;
PD;PA 3785,3711;
PA 3789,3709;
PA 3791,3707;
PA 3793,3703;
PA 3794,3696;
PA 3794,3686;
PA 3793,3679;
PA 3791,3674;
PA 3789,3672;
PA 3785,3670;
PA 3781,3670;
PA 3777,3672;
PA 3774,3674;
PA 3773,3679;
PA 3771,3686;
PA 3771,3696;
PA 3773,3703;
PA 3774,3707;
PA 3777,3709;
PA 3781,3711;
PU;PA 3819,3711;
PD;PA 3823,3711;
PA 3828,3709;
PA 3830,3707;
PA 3832,3703;
PA 3833,3696;
PA 3833,3686;
PA 3832,3679;
PA 3830,3674;
PA 3828,3672;
PA 3823,3670;
PA 3819,3670;
PA 3815,3672;
PA 3813,3674;
PA 3812,3679;
PA 3810,3686;
PA 3810,3696;
PA 3812,3703;
PA 3813,3707;
PA 3815,3709;
PA 3819,3711;
PU;PA 3868,3698;
PD;PA 3868,3670;
PU;PA 3851,3698;
PD;PA 3851,3677;
PA 3852,3672;
PA 3856,3670;
PA 3862,3670;
PA 3866,3672;
PA 3868,3674;
PU;PA 3878,3386;
PD;PA 3929,3335;
PA 3980,3386;
PA 3878,3386;
PU;PA 3571,3835;
EA 3265,3753;
PU;PA 3571,3794;
PD;PA 3673,3794;
PU;PA 3265,3794;
PD;PA 3163,3794;
PU;PA 3392,3697;
PD;PA 3379,3716;
PU;PA 3369,3697;
PD;PA 3369,3738;
PA 3385,3738;
PA 3389,3736;
PA 3390,3734;
PA 3392,3730;
PA 3392,3724;
PA 3390,3720;
PA 3389,3718;
PA 3385,3716;
PA 3369,3716;
PU;PA 3408,3734;
PD;PA 3410,3736;
PA 3413,3738;
PA 3423,3738;
PA 3428,3736;
PA 3430,3734;
PA 3431,3730;
PA 3431,3726;
PA 3430,3720;
PA 3406,3697;
PA 3431,3697;
PU;PA 3454,3720;
PD;PA 3450,3722;
PA 3449,3724;
PA 3447,3728;
PA 3447,3730;
PA 3449,3734;
PA 3450,3736;
PA 3454,3738;
PA 3462,3738;
PA 3466,3736;
PA 3468,3734;
PA 3469,3730;
PA 3469,3728;
PA 3468,3724;
PA 3466,3722;
PA 3462,3720;
PA 3454,3720;
PA 3450,3718;
PA 3449,3716;
PA 3447,3712;
PA 3447,3705;
PA 3449,3701;
PA 3450,3699;
PA 3454,3697;
PA 3462,3697;
PA 3466,3699;
PA 3468,3701;
PA 3469,3705;
PA 3469,3712;
PA 3468,3716;
PA 3466,3718;
PA 3462,3720;
PU;PA 3389,3808;
PD;PA 3391,3810;
PA 3394,3812;
PA 3404,3812;
PA 3408,3810;
PA 3410,3808;
PA 3411,3804;
PA 3411,3800;
PA 3410,3795;
PA 3387,3771;
PA 3411,3771;
PU;PA 3435,3795;
PD;PA 3431,3797;
PA 3430,3799;
PA 3428,3802;
PA 3428,3804;
PA 3430,3808;
PA 3431,3810;
PA 3435,3812;
PA 3443,3812;
PA 3447,3810;
PA 3449,3808;
PA 3450,3804;
PA 3450,3802;
PA 3449,3799;
PA 3447,3797;
PA 3443,3795;
PA 3435,3795;
PA 3431,3793;
PA 3430,3791;
PA 3428,3787;
PA 3428,3780;
PA 3430,3776;
PA 3431,3773;
PA 3435,3771;
PA 3443,3771;
PA 3447,3773;
PA 3449,3776;
PA 3450,3780;
PA 3450,3787;
PA 3449,3791;
PA 3447,3793;
PA 3443,3795;
PU;PA 3082,3559;
PD;PA 3245,3559;
PU;PA 3082,3620;
PD;PA 3245,3620;
PU;PA 3163,3620;
PD;PA 3163,3794;
PU;PA 3163,3559;
PD;PA 3163,3386;
PU;PA 3196,3681;
PD;PA 3194,3679;
PA 3189,3677;
PA 3185,3677;
PA 3179,3679;
PA 3174,3683;
PA 3173,3686;
PA 3171,3694;
PA 3171,3700;
PA 3173,3707;
PA 3174,3711;
PA 3179,3715;
PA 3185,3717;
PA 3189,3717;
PA 3194,3715;
PA 3196,3713;
PU;PA 3210,3717;
PD;PA 3235,3717;
PA 3221,3702;
PA 3228,3702;
PA 3232,3700;
PA 3234,3698;
PA 3235,3694;
PA 3235,3685;
PA 3234,3681;
PA 3232,3679;
PA 3228,3677;
PA 3215,3677;
PA 3212,3679;
PA 3210,3681;
PU;PA 3270,3704;
PD;PA 3270,3677;
PU;PA 3260,3719;
PD;PA 3251,3690;
PA 3276,3690;
PU;PA 3200,3488;
PD;PA 3178,3488;
PU;PA 3189,3488;
PD;PA 3189,3529;
PA 3185,3522;
PA 3181,3518;
PA 3178,3516;
PU;PA 3226,3529;
PD;PA 3230,3529;
PA 3234,3527;
PA 3236,3524;
PA 3238,3520;
PA 3239,3513;
PA 3239,3503;
PA 3238,3496;
PA 3236,3492;
PA 3234,3490;
PA 3230,3488;
PA 3226,3488;
PA 3221,3490;
PA 3219,3492;
PA 3218,3496;
PA 3216,3503;
PA 3216,3513;
PA 3218,3520;
PA 3219,3524;
PA 3221,3527;
PA 3226,3529;
PU;PA 3274,3515;
PD;PA 3274,3488;
PU;PA 3257,3515;
PD;PA 3257,3494;
PA 3258,3490;
PA 3262,3488;
PA 3268,3488;
PA 3272,3490;
PA 3274,3492;
PU;PA 3112,3386;
PD;PA 3163,3335;
PA 3214,3386;
PA 3112,3386;
PU;PA 3359,3981;
PD;PA 3380,3919;
PA 3400,3981;
PU;PA 3419,3943;
PD;PA 3466,3943;
PU;PA 3316,3947;
PD;PA 3347,3892;
PA 3504,3892;
PA 3504,3947;
PA 3504,4002;
PA 3347,4002;
PA 3316,3947;
PU;PA 3163,3947;
PD;PU;PA 3163,3947;
PD;PA 3112,3947;
PA 3061,3870;
PA 3010,3947;
PA 3061,4023;
PA 3112,3947;
PU;PA 2992,3842;
PD;PA 2961,3842;
PA 2961,3854;
PA 2962,3856;
PA 2963,3858;
PA 2966,3859;
PA 2971,3859;
PA 2973,3858;
PA 2976,3856;
PA 2977,3854;
PA 2977,3842;
PU;PA 2961,3869;
PD;PA 2992,3877;
PA 2969,3883;
PA 2992,3889;
PA 2961,3896;
PU;PA 2992,3924;
PD;PA 2977,3914;
PU;PA 2992,3907;
PD;PA 2961,3907;
PA 2961,3919;
PA 2962,3921;
PA 2963,3923;
PA 2966,3924;
PA 2971,3924;
PA 2973,3923;
PA 2976,3921;
PA 2977,3919;
PA 2977,3907;
PU;PA 2994,3931;
PD;PA 2994,3954;
PU;PA 2976,3971;
PD;PA 2976,3961;
PU;PA 2992,3961;
PD;PA 2961,3961;
PA 2961,3976;
PU;PA 2992,4002;
PD;PA 2992,3988;
PA 2961,3988;
PU;PA 2983,4011;
PD;PA 2983,4026;
PU;PA 2992,4008;
PD;PA 2961,4018;
PA 2992,4029;
PU;PA 2962,4055;
PD;PA 2961,4052;
PA 2961,4048;
PA 2962,4043;
PA 2965,4041;
PA 2968,4039;
PA 2973,4038;
PA 2979,4038;
PA 2984,4039;
PA 2987,4041;
PA 2990,4043;
PA 2992,4048;
PA 2992,4051;
PA 2990,4055;
PA 2989,4056;
PA 2979,4056;
PA 2979,4051;
PU;PA 2041,2457;
EA 1735,2376;
PU;PA 2041,2416;
PD;PA 2143,2416;
PU;PA 1735,2416;
PD;PA 1633,2416;
PU;PA 1836,2478;
PD;PA 1822,2497;
PU;PA 1813,2478;
PD;PA 1813,2518;
PA 1829,2518;
PA 1833,2516;
PA 1834,2514;
PA 1836,2510;
PA 1836,2505;
PA 1834,2501;
PA 1833,2499;
PA 1829,2497;
PA 1813,2497;
PU;PA 1852,2514;
PD;PA 1854,2516;
PA 1857,2518;
PA 1867,2518;
PA 1871,2516;
PA 1873,2514;
PA 1874,2510;
PA 1874,2506;
PA 1873,2501;
PA 1850,2478;
PA 1874,2478;
PU;PA 1910,2505;
PD;PA 1910,2478;
PU;PA 1900,2520;
PD;PA 1891,2491;
PA 1915,2491;
PU;PA 1861,2394;
PD;PA 1839,2394;
PU;PA 1850,2394;
PD;PA 1850,2435;
PA 1846,2429;
PA 1842,2424;
PA 1839,2422;
PU;PA 1887,2435;
PD;PA 1891,2435;
PA 1895,2433;
PA 1897,2431;
PA 1899,2427;
PA 1900,2419;
PA 1900,2409;
PA 1899,2402;
PA 1897,2398;
PA 1895,2396;
PA 1891,2394;
PA 1887,2394;
PA 1883,2396;
PA 1881,2398;
PA 1880,2402;
PA 1878,2409;
PA 1878,2419;
PA 1880,2427;
PA 1881,2431;
PA 1883,2433;
PA 1887,2435;
PU;PA 1926,2435;
PD;PA 1930,2435;
PA 1934,2433;
PA 1936,2431;
PA 1938,2427;
PA 1939,2419;
PA 1939,2409;
PA 1938,2402;
PA 1936,2398;
PA 1934,2396;
PA 1930,2394;
PA 1926,2394;
PA 1921,2396;
PA 1919,2398;
PA 1918,2402;
PA 1916,2409;
PA 1916,2419;
PA 1918,2427;
PA 1919,2431;
PA 1921,2433;
PA 1926,2435;
PU;PA 1276,2355;
EA 969,2273;
PU;PA 1276,2314;
PD;PA 1378,2314;
PU;PA 969,2314;
PD;PA 867,2314;
PU;PA 1096,2217;
PD;PA 1083,2237;
PU;PA 1073,2217;
PD;PA 1073,2258;
PA 1089,2258;
PA 1093,2256;
PA 1094,2254;
PA 1096,2250;
PA 1096,2245;
PA 1094,2241;
PA 1093,2239;
PA 1089,2237;
PA 1073,2237;
PU;PA 1112,2254;
PD;PA 1114,2256;
PA 1117,2258;
PA 1128,2258;
PA 1132,2256;
PA 1134,2254;
PA 1135,2250;
PA 1135,2246;
PA 1134,2241;
PA 1110,2217;
PA 1135,2217;
PU;PA 1173,2217;
PD;PA 1151,2217;
PU;PA 1162,2217;
PD;PA 1162,2258;
PA 1158,2252;
PA 1154,2248;
PA 1151,2246;
PU;PA 1096,2292;
PD;PA 1073,2292;
PU;PA 1085,2292;
PD;PA 1085,2333;
PA 1081,2327;
PA 1077,2322;
PA 1073,2320;
PU;PA 1121,2333;
PD;PA 1126,2333;
PA 1130,2331;
PA 1132,2329;
PA 1134,2324;
PA 1135,2317;
PA 1135,2307;
PA 1134,2300;
PA 1132,2296;
PA 1130,2294;
PA 1126,2292;
PA 1121,2292;
PA 1117,2294;
PA 1115,2296;
PA 1114,2300;
PA 1112,2307;
PA 1112,2317;
PA 1114,2324;
PA 1115,2329;
PA 1117,2331;
PA 1121,2333;
PU;PA 1160,2333;
PD;PA 1164,2333;
PA 1168,2331;
PA 1170,2329;
PA 1172,2324;
PA 1173,2317;
PA 1173,2307;
PA 1172,2300;
PA 1170,2296;
PA 1168,2294;
PA 1164,2292;
PA 1160,2292;
PA 1156,2294;
PA 1154,2296;
PA 1153,2300;
PA 1151,2307;
PA 1151,2317;
PA 1153,2324;
PA 1154,2329;
PA 1156,2331;
PA 1160,2333;
PU;PA 1365,2392;
PD;PA 1374,2389;
PA 1389,2389;
PA 1395,2392;
PA 1398,2395;
PA 1401,2400;
PA 1401,2406;
PA 1398,2412;
PA 1395,2415;
PA 1389,2417;
PA 1378,2420;
PA 1371,2423;
PA 1368,2427;
PA 1365,2433;
PA 1365,2438;
PA 1368,2444;
PA 1371,2447;
PA 1378,2450;
PA 1392,2450;
PA 1401,2447;
PU;PA 1467,2383;
PD;PA 1462,2386;
PA 1456,2392;
PA 1447,2400;
PA 1442,2403;
PA 1436,2403;
PU;PA 1439,2389;
PD;PA 1433,2392;
PA 1427,2397;
PA 1423,2409;
PA 1423,2430;
PA 1427,2441;
PA 1433,2447;
PA 1439,2450;
PA 1450,2450;
PA 1456,2447;
PA 1462,2441;
PA 1464,2430;
PA 1464,2409;
PA 1462,2397;
PA 1456,2392;
PA 1450,2389;
PA 1439,2389;
PU;PA 1527,2389;
PD;PA 1506,2417;
PU;PA 1491,2389;
PD;PA 1491,2450;
PA 1514,2450;
PA 1520,2447;
PA 1523,2444;
PA 1527,2438;
PA 1527,2430;
PA 1523,2423;
PA 1520,2420;
PA 1514,2417;
PA 1491,2417;
PU;PA 1585,2389;
PD;PA 1549,2389;
PU;PA 1567,2389;
PD;PA 1567,2450;
PA 1561,2441;
PA 1555,2436;
PA 1549,2433;
PU;PA 1633,2416;
PD;PA 1602,2471;
PA 1331,2471;
PA 1331,2416;
PA 1331,2361;
PA 1602,2361;
PA 1633,2416;
PU;PA 600,2290;
PD;PA 609,2287;
PA 623,2287;
PA 630,2290;
PA 633,2293;
PA 636,2298;
PA 636,2304;
PA 633,2310;
PA 630,2313;
PA 623,2315;
PA 612,2318;
PA 606,2321;
PA 603,2324;
PA 600,2331;
PA 600,2336;
PA 603,2342;
PA 606,2345;
PA 612,2348;
PA 627,2348;
PA 636,2345;
PU;PA 702,2281;
PD;PA 697,2284;
PA 691,2290;
PA 682,2298;
PA 677,2301;
PA 670,2301;
PU;PA 673,2287;
PD;PA 667,2290;
PA 661,2295;
PA 658,2307;
PA 658,2328;
PA 661,2339;
PA 667,2345;
PA 673,2348;
PA 685,2348;
PA 691,2345;
PA 697,2339;
PA 699,2328;
PA 699,2307;
PA 697,2295;
PA 691,2290;
PA 685,2287;
PA 673,2287;
PU;PA 761,2287;
PD;PA 741,2315;
PU;PA 726,2287;
PD;PA 726,2348;
PA 749,2348;
PA 755,2345;
PA 758,2342;
PA 761,2336;
PA 761,2328;
PA 758,2321;
PA 755,2318;
PA 749,2315;
PA 726,2315;
PU;PA 784,2342;
PD;PA 787,2345;
PA 793,2348;
PA 807,2348;
PA 813,2345;
PA 816,2342;
PA 819,2336;
PA 819,2331;
PA 816,2321;
PA 782,2287;
PA 819,2287;
PU;PA 867,2314;
PD;PA 837,2369;
PA 565,2369;
PA 565,2314;
PA 565,2259;
PA 837,2259;
PA 867,2314;
PU;PA 3916,2397;
PD;PA 3923,2395;
PA 3935,2395;
PA 3939,2397;
PA 3942,2400;
PA 3944,2404;
PA 3944,2409;
PA 3942,2413;
PA 3939,2415;
PA 3935,2418;
PA 3926,2420;
PA 3920,2422;
PA 3918,2424;
PA 3916,2430;
PA 3916,2434;
PA 3918,2439;
PA 3920,2441;
PA 3926,2443;
PA 3937,2443;
PA 3944,2441;
PU;PA 3997,2391;
PD;PA 3992,2393;
PA 3988,2397;
PA 3981,2404;
PA 3976,2406;
PA 3971,2406;
PU;PA 3973,2395;
PD;PA 3969,2397;
PA 3964,2402;
PA 3962,2411;
PA 3962,2428;
PA 3964,2437;
PA 3969,2441;
PA 3973,2443;
PA 3983,2443;
PA 3988,2441;
PA 3992,2437;
PA 3994,2428;
PA 3994,2411;
PA 3992,2402;
PA 3988,2397;
PA 3983,2395;
PA 3973,2395;
PU;PA 4040,2395;
PD;PA 4012,2395;
PU;PA 4026,2395;
PD;PA 4026,2443;
PA 4021,2437;
PA 4016,2432;
PA 4012,2430;
PU;PA 3878,2416;
PD;PA 3901,2373;
PA 4072,2373;
PA 4072,2416;
PA 4072,2459;
PA 3901,2459;
PA 3878,2416;
PU;PA 3916,2295;
PD;PA 3923,2293;
PA 3935,2293;
PA 3939,2295;
PA 3942,2298;
PA 3944,2302;
PA 3944,2307;
PA 3942,2311;
PA 3939,2313;
PA 3935,2316;
PA 3926,2318;
PA 3920,2320;
PA 3918,2322;
PA 3916,2328;
PA 3916,2332;
PA 3918,2337;
PA 3920,2339;
PA 3926,2341;
PA 3937,2341;
PA 3944,2339;
PU;PA 3997,2289;
PD;PA 3992,2291;
PA 3988,2295;
PA 3981,2302;
PA 3976,2304;
PA 3971,2304;
PU;PA 3973,2293;
PD;PA 3969,2295;
PA 3964,2300;
PA 3962,2309;
PA 3962,2326;
PA 3964,2335;
PA 3969,2339;
PA 3973,2341;
PA 3983,2341;
PA 3988,2339;
PA 3992,2335;
PA 3994,2326;
PA 3994,2309;
PA 3992,2300;
PA 3988,2295;
PA 3983,2293;
PA 3973,2293;
PU;PA 4012,2337;
PD;PA 4014,2339;
PA 4019,2341;
PA 4031,2341;
PA 4035,2339;
PA 4038,2337;
PA 4040,2332;
PA 4040,2328;
PA 4038,2320;
PA 4010,2293;
PA 4040,2293;
PU;PA 3878,2314;
PD;PA 3901,2271;
PA 4072,2271;
PA 4072,2314;
PA 4072,2357;
PA 3901,2357;
PA 3878,2314;
PU;PA 3992,2144;
PD;PA 4003,2144;
PA 4009,2141;
PA 4015,2135;
PA 4017,2123;
PA 4017,2103;
PA 4015,2091;
PA 4009,2086;
PA 4003,2083;
PA 3992,2083;
PA 3986,2086;
PA 3980,2091;
PA 3977,2103;
PA 3977,2123;
PA 3980,2135;
PA 3986,2141;
PA 3992,2144;
PU;PA 4077,2083;
PD;PA 4041,2083;
PU;PA 4059,2083;
PD;PA 4059,2144;
PA 4053,2135;
PA 4047,2130;
PA 4041,2127;
PU;PA 3929,2110;
PD;PA 3959,2055;
PA 4111,2055;
PA 4111,2110;
PA 4111,2165;
PA 3959,2165;
PA 3929,2110;
PU;PA 3992,1940;
PD;PA 4003,1940;
PA 4009,1937;
PA 4015,1931;
PA 4017,1919;
PA 4017,1899;
PA 4015,1887;
PA 4009,1882;
PA 4003,1879;
PA 3992,1879;
PA 3986,1882;
PA 3980,1887;
PA 3977,1899;
PA 3977,1919;
PA 3980,1931;
PA 3986,1937;
PA 3992,1940;
PU;PA 4041,1934;
PD;PA 4044,1937;
PA 4050,1940;
PA 4064,1940;
PA 4070,1937;
PA 4073,1934;
PA 4077,1928;
PA 4077,1922;
PA 4073,1913;
PA 4039,1879;
PA 4077,1879;
PU;PA 3929,1906;
PD;PA 3959,1851;
PA 4111,1851;
PA 4111,1906;
PA 4111,1961;
PA 3959,1961;
PA 3929,1906;
PU;PA 1439,2144;
PD;PA 1450,2144;
PA 1456,2141;
PA 1462,2135;
PA 1464,2123;
PA 1464,2103;
PA 1462,2091;
PA 1456,2086;
PA 1450,2083;
PA 1439,2083;
PA 1433,2086;
PA 1427,2091;
PA 1423,2103;
PA 1423,2123;
PA 1427,2135;
PA 1433,2141;
PA 1439,2144;
PU;PA 1491,2083;
PD;PA 1491,2144;
PA 1506,2144;
PA 1514,2141;
PA 1520,2135;
PA 1523,2130;
PA 1527,2117;
PA 1527,2109;
PA 1523,2097;
PA 1520,2091;
PA 1514,2086;
PA 1506,2083;
PA 1491,2083;
PU;PA 1585,2083;
PD;PA 1549,2083;
PU;PA 1567,2083;
PD;PA 1567,2144;
PA 1561,2135;
PA 1555,2130;
PA 1549,2127;
PU;PA 1633,2110;
PD;PA 1602,2165;
PA 1389,2165;
PA 1389,2110;
PA 1389,2055;
PA 1602,2055;
PA 1633,2110;
PU;PA 1439,1940;
PD;PA 1450,1940;
PA 1456,1937;
PA 1462,1931;
PA 1464,1919;
PA 1464,1899;
PA 1462,1887;
PA 1456,1882;
PA 1450,1879;
PA 1439,1879;
PA 1433,1882;
PA 1427,1887;
PA 1423,1899;
PA 1423,1919;
PA 1427,1931;
PA 1433,1937;
PA 1439,1940;
PU;PA 1491,1879;
PD;PA 1491,1940;
PA 1506,1940;
PA 1514,1937;
PA 1520,1931;
PA 1523,1926;
PA 1527,1913;
PA 1527,1905;
PA 1523,1893;
PA 1520,1887;
PA 1514,1882;
PA 1506,1879;
PA 1491,1879;
PU;PA 1549,1934;
PD;PA 1552,1937;
PA 1558,1940;
PA 1572,1940;
PA 1579,1937;
PA 1582,1934;
PA 1585,1928;
PA 1585,1922;
PA 1582,1913;
PA 1547,1879;
PA 1585,1879;
PU;PA 1633,1906;
PD;PA 1602,1961;
PA 1389,1961;
PA 1389,1906;
PA 1389,1851;
PA 1602,1851;
PA 1633,1906;
PU;PA 1020,1651;
CI 113.266;
PU;PA 1071,1651;
PD;PA 969,1549;
PU;PA 1071,1574;
PD;PA 1071,1728;
PU;PA 1020,1702;
PD;PA 1071,1651;
PU;PA 980,1743;
PD;PA 969,1753;
PU;PA 980,1743;
PD;PA 1000,1682;
PA 1041,1722;
PA 980,1743;
PU;PA 969,1753;
PD;PA 969,1855;
PU;PA 936,1796;
PD;PA 936,1809;
PU;PA 957,1815;
PD;PA 957,1796;
PA 916,1796;
PA 916,1815;
PU;PA 1018,1815;
PD;PA 1018,1793;
PU;PA 1018,1804;
PD;PA 978,1804;
PA 984,1800;
PA 988,1796;
PA 990,1793;
PU;PA 1071,1651;
PD;PA 1276,1651;
PU;PA 1177,1685;
PD;PA 1183,1683;
PA 1184,1681;
PA 1186,1677;
PA 1186,1671;
PA 1184,1667;
PA 1183,1665;
PA 1179,1663;
PA 1163,1663;
PA 1163,1704;
PA 1177,1704;
PA 1181,1702;
PA 1183,1700;
PA 1184,1696;
PA 1184,1692;
PA 1183,1689;
PA 1181,1687;
PA 1177,1685;
PA 1163,1685;
PU;PA 1162,1639;
PD;PA 1164,1641;
PA 1167,1643;
PA 1178,1643;
PA 1182,1641;
PA 1184,1639;
PA 1185,1635;
PA 1185,1631;
PA 1184,1626;
PA 1160,1602;
PA 1185,1602;
PU;PA 969,1549;
PD;PA 969,1447;
PU;PA 953,1510;
PD;PA 955,1508;
PA 957,1503;
PA 957,1499;
PA 955,1493;
PA 951,1489;
PA 948,1488;
PA 940,1486;
PA 934,1486;
PA 927,1488;
PA 922,1489;
PA 918,1493;
PA 916,1499;
PA 916,1503;
PA 918,1508;
PA 920,1510;
PU;PA 978,1485;
PD;PA 978,1509;
PA 993,1496;
PA 993,1502;
PA 995,1506;
PA 997,1508;
PA 1001,1509;
PA 1010,1509;
PA 1014,1508;
PA 1016,1506;
PA 1018,1502;
PA 1018,1490;
PA 1016,1487;
PA 1014,1485;
PU;PA 1117,1773;
PD;PA 1112,1776;
PA 1108,1781;
PA 1101,1788;
PA 1096,1790;
PA 1091,1790;
PU;PA 1093,1778;
PD;PA 1089,1781;
PA 1084,1786;
PA 1082,1795;
PA 1082,1812;
PA 1084,1821;
PA 1089,1827;
PA 1093,1829;
PA 1103,1829;
PA 1108,1827;
PA 1112,1821;
PA 1115,1812;
PA 1115,1795;
PA 1112,1786;
PA 1108,1781;
PA 1103,1778;
PA 1093,1778;
PU;PA 1163,1778;
PD;PA 1135,1778;
PU;PA 1149,1778;
PD;PA 1149,1829;
PA 1144,1821;
PA 1139,1816;
PA 1135,1814;
PU;PA 1082,1518;
PD;PA 1084,1520;
PA 1089,1522;
PA 1101,1522;
PA 1105,1520;
PA 1108,1518;
PA 1110,1513;
PA 1110,1508;
PA 1108,1501;
PA 1079,1471;
PA 1110,1471;
PU;PA 1131,1518;
PD;PA 1133,1520;
PA 1138,1522;
PA 1150,1522;
PA 1154,1520;
PA 1157,1518;
PA 1159,1513;
PA 1159,1508;
PA 1157,1501;
PA 1128,1471;
PA 1159,1471;
PU;PA 1180,1518;
PD;PA 1182,1520;
PA 1187,1522;
PA 1199,1522;
PA 1203,1520;
PA 1206,1518;
PA 1208,1513;
PA 1208,1508;
PA 1206,1501;
PA 1177,1471;
PA 1208,1471;
PU;PA 1229,1518;
PD;PA 1231,1520;
PA 1236,1522;
PA 1248,1522;
PA 1252,1520;
PA 1255,1518;
PA 1257,1513;
PA 1257,1508;
PA 1255,1501;
PA 1226,1471;
PA 1257,1471;
PU;PA 1020,1855;
PD;PA 969,1906;
PA 918,1855;
PA 1020,1855;
PU;PA 620,1451;
PD;PA 630,1448;
PA 633,1446;
PA 636,1440;
PA 636,1431;
PA 633,1426;
PA 630,1422;
PA 623,1419;
PA 600,1419;
PA 600,1481;
PA 620,1481;
PA 627,1478;
PA 630,1474;
PA 633,1468;
PA 633,1463;
PA 630,1457;
PA 627,1454;
PA 620,1451;
PA 600,1451;
PU;PA 673,1481;
PD;PA 685,1481;
PA 691,1478;
PA 697,1471;
PA 699,1460;
PA 699,1440;
PA 697,1428;
PA 691,1422;
PA 685,1419;
PA 673,1419;
PA 667,1422;
PA 661,1428;
PA 658,1440;
PA 658,1460;
PA 661,1471;
PA 667,1478;
PA 673,1481;
PU;PA 726,1419;
PD;PA 726,1481;
PA 741,1481;
PA 749,1478;
PA 755,1471;
PA 758,1466;
PA 761,1454;
PA 761,1446;
PA 758,1434;
PA 755,1428;
PA 749,1422;
PA 741,1419;
PA 726,1419;
PU;PA 784,1474;
PD;PA 787,1478;
PA 793,1481;
PA 807,1481;
PA 813,1478;
PA 816,1474;
PA 819,1468;
PA 819,1463;
PA 816,1454;
PA 782,1419;
PA 819,1419;
PU;PA 867,1447;
PD;PA 837,1502;
PA 562,1502;
PA 562,1447;
PA 562,1392;
PA 837,1392;
PA 867,1447;
PU;PA 3673,2824;
PD;PA 3724,2876;
PA 3673,2927;
PA 3673,2824;
PU;PA 1684,1692;
EA 1378,1610;
PU;PA 1684,1651;
PD;PA 1786,1651;
PU;PA 1378,1651;
PD;PA 1276,1651;
PU;PA 1504,1554;
PD;PA 1491,1573;
PU;PA 1482,1554;
PD;PA 1482,1595;
PA 1497,1595;
PA 1501,1593;
PA 1502,1591;
PA 1504,1587;
PA 1504,1582;
PA 1502,1578;
PA 1501,1576;
PA 1497,1573;
PA 1482,1573;
PU;PA 1520,1591;
PD;PA 1522,1593;
PA 1526,1595;
PA 1536,1595;
PA 1540,1593;
PA 1542,1591;
PA 1543,1587;
PA 1543,1583;
PA 1542,1578;
PA 1518,1554;
PA 1543,1554;
PU;PA 1557,1595;
PD;PA 1582,1595;
PA 1568,1580;
PA 1574,1580;
PA 1579,1578;
PA 1581,1576;
PA 1582,1571;
PA 1582,1562;
PA 1581,1558;
PA 1579,1556;
PA 1574,1554;
PA 1562,1554;
PA 1559,1556;
PA 1557,1558;
PU;PA 1522,1629;
PD;PA 1500,1629;
PU;PA 1511,1629;
PD;PA 1511,1669;
PA 1507,1663;
PA 1503,1659;
PA 1500,1657;
PU;PA 1541,1629;
PD;PA 1541,1669;
PU;PA 1563,1629;
PD;PA 1546,1652;
PU;PA 1563,1669;
PD;PA 1541,1646;
PU;PA 6526,3674;
PD;PA 6546,3613;
PA 6566,3674;
PU;PA 6586,3637;
PD;PA 6633,3637;
PU;PA 6684,3641;
PD;PA 6653,3696;
PA 6496,3696;
PA 6496,3641;
PA 6496,3586;
PA 6653,3586;
PA 6684,3641;
PU;PA 10757,3521;
PD;PA 10778,3460;
PA 10798,3521;
PU;PA 10817,3484;
PD;PA 10864,3484;
PU;PA 10714,3488;
PD;PA 10745,3433;
PA 10902,3433;
PA 10902,3488;
PA 10902,3543;
PA 10745,3543;
PA 10714,3488;
PU;PA 6500,4491;
PD;PA 6520,4430;
PA 6541,4491;
PU;PA 6560,4453;
PD;PA 6607,4453;
PU;PA 6584,4430;
PD;PA 6584,4477;
PU;PA 6658,4457;
PD;PA 6628,4512;
PA 6470,4512;
PA 6470,4457;
PA 6470,4402;
PA 6628,4402;
PA 6658,4457;
PU;PA 10655,2552;
PD;PA 10676,2491;
PA 10696,2552;
PU;PA 10715,2514;
PD;PA 10762,2514;
PU;PA 10739,2491;
PD;PA 10739,2538;
PU;PA 10612,2518;
PD;PA 10643,2463;
PA 10800,2463;
PA 10800,2518;
PA 10800,2573;
PA 10643,2573;
PA 10612,2518;
PU;PA 969,6253;
EA 663,6335;
PU;PA 969,6294;
PD;PA 1071,6294;
PU;PA 663,6294;
PD;PA 561,6294;
PU;PA 790,6354;
PD;PA 777,6373;
PU;PA 767,6354;
PD;PA 767,6395;
PA 783,6395;
PA 787,6393;
PA 788,6391;
PA 790,6387;
PA 790,6382;
PA 788,6378;
PA 787,6376;
PA 783,6373;
PA 767,6373;
PU;PA 806,6391;
PD;PA 808,6393;
PA 811,6395;
PA 821,6395;
PA 826,6393;
PA 828,6391;
PA 829,6387;
PA 829,6383;
PA 828,6378;
PA 804,6354;
PA 829,6354;
PU;PA 854,6395;
PD;PA 858,6395;
PA 862,6393;
PA 864,6391;
PA 866,6387;
PA 867,6380;
PA 867,6369;
PA 866,6362;
PA 864,6358;
PA 862,6356;
PA 858,6354;
PA 854,6354;
PA 850,6356;
PA 848,6358;
PA 847,6362;
PA 845,6369;
PA 845,6380;
PA 847,6387;
PA 848,6391;
PA 850,6393;
PA 854,6395;
PU;PA 789,6280;
PD;PA 766,6280;
PU;PA 778,6280;
PD;PA 778,6320;
PA 773,6314;
PA 769,6310;
PA 766,6308;
PU;PA 814,6320;
PD;PA 818,6320;
PA 822,6318;
PA 824,6316;
PA 827,6312;
PA 828,6305;
PA 828,6295;
PA 827,6288;
PA 824,6284;
PA 822,6282;
PA 818,6280;
PA 814,6280;
PA 810,6282;
PA 808,6284;
PA 807,6288;
PA 805,6295;
PA 805,6305;
PA 807,6312;
PA 808,6316;
PA 810,6318;
PA 814,6320;
PU;PA 846,6280;
PD;PA 846,6320;
PU;PA 868,6280;
PD;PA 851,6303;
PU;PA 868,6320;
PD;PA 846,6297;
PU;PA 10612,3529;
EA 10306,3447;
PU;PA 10612,3488;
PD;PA 10714,3488;
PU;PA 10306,3488;
PD;PA 10204,3488;
PU;PA 10433,3391;
PD;PA 10419,3410;
PU;PA 10410,3391;
PD;PA 10410,3432;
PA 10426,3432;
PA 10430,3430;
PA 10431,3428;
PA 10433,3423;
PA 10433,3418;
PA 10431,3414;
PA 10430,3412;
PA 10426,3410;
PA 10410,3410;
PU;PA 10447,3432;
PD;PA 10473,3432;
PA 10456,3391;
PU;PA 10488,3428;
PD;PA 10490,3430;
PA 10493,3432;
PA 10503,3432;
PA 10507,3430;
PA 10509,3428;
PA 10510,3423;
PA 10510,3419;
PA 10509,3414;
PA 10486,3391;
PA 10510,3391;
PU;PA 10434,3465;
PD;PA 10411,3465;
PU;PA 10422,3465;
PD;PA 10422,3506;
PA 10418,3500;
PA 10414,3496;
PA 10411,3494;
PU;PA 10459,3506;
PD;PA 10463,3506;
PA 10467,3504;
PA 10469,3502;
PA 10471,3498;
PA 10472,3491;
PA 10472,3481;
PA 10471,3473;
PA 10469,3469;
PA 10467,3467;
PA 10463,3465;
PA 10459,3465;
PA 10455,3467;
PA 10453,3469;
PA 10452,3473;
PA 10450,3481;
PA 10450,3491;
PA 10452,3498;
PA 10453,3502;
PA 10455,3504;
PA 10459,3506;
PU;PA 10491,3487;
PD;PA 10504,3487;
PU;PA 10510,3465;
PD;PA 10491,3465;
PA 10491,3506;
PA 10510,3506;
PU;PA 10510,2559;
EA 10204,2478;
PU;PA 10510,2518;
PD;PA 10612,2518;
PU;PA 10204,2518;
PD;PA 10102,2518;
PU;PA 10331,2421;
PD;PA 10317,2441;
PU;PA 10308,2421;
PD;PA 10308,2462;
PA 10323,2462;
PA 10328,2460;
PA 10329,2458;
PA 10331,2454;
PA 10331,2449;
PA 10329,2445;
PA 10328,2443;
PA 10323,2441;
PA 10308,2441;
PU;PA 10345,2462;
PD;PA 10371,2462;
PA 10354,2421;
PU;PA 10408,2421;
PD;PA 10386,2421;
PU;PA 10397,2421;
PD;PA 10397,2462;
PA 10393,2456;
PA 10389,2452;
PA 10386,2450;
PU;PA 10332,2496;
PD;PA 10309,2496;
PU;PA 10320,2496;
PD;PA 10320,2537;
PA 10316,2531;
PA 10312,2527;
PA 10309,2524;
PU;PA 10357,2537;
PD;PA 10361,2537;
PA 10365,2535;
PA 10367,2533;
PA 10369,2529;
PA 10370,2521;
PA 10370,2511;
PA 10369,2504;
PA 10367,2500;
PA 10365,2498;
PA 10361,2496;
PA 10357,2496;
PA 10353,2498;
PA 10351,2500;
PA 10350,2504;
PA 10348,2511;
PA 10348,2521;
PA 10350,2529;
PA 10351,2533;
PA 10353,2535;
PA 10357,2537;
PU;PA 10389,2517;
PD;PA 10402,2517;
PU;PA 10408,2496;
PD;PA 10389,2496;
PA 10389,2537;
PA 10408,2537;
PU;PA 652,7703;
PD;PA 659,7701;
PA 670,7701;
PA 674,7703;
PA 678,7706;
PA 680,7710;
PA 680,7715;
PA 678,7719;
PA 674,7721;
PA 670,7725;
PA 661,7727;
PA 656,7729;
PA 654,7731;
PA 652,7736;
PA 652,7740;
PA 654,7745;
PA 656,7747;
PA 661,7749;
PA 672,7749;
PA 680,7747;
PU;PA 700,7701;
PD;PA 700,7749;
PA 711,7749;
PA 718,7747;
PA 723,7743;
PA 726,7738;
PA 728,7729;
PA 728,7721;
PA 726,7712;
PA 723,7708;
PA 718,7703;
PA 711,7701;
PA 700,7701;
PU;PA 757,7749;
PD;PA 766,7749;
PA 771,7747;
PA 776,7743;
PA 778,7734;
PA 778,7717;
PA 776,7708;
PA 771,7703;
PA 766,7701;
PA 757,7701;
PA 753,7703;
PA 748,7708;
PA 746,7717;
PA 746,7734;
PA 748,7743;
PA 753,7747;
PA 757,7749;
PU;PA 816,7722;
PD;PA 793,7765;
PA 619,7765;
PA 619,7722;
PA 619,7680;
PA 793,7680;
PA 816,7722;
PU;PA 654,7601;
PD;PA 661,7599;
PA 672,7599;
PA 677,7601;
PA 680,7604;
PA 682,7608;
PA 682,7613;
PA 680,7617;
PA 677,7619;
PA 672,7622;
PA 663,7625;
PA 658,7627;
PA 656,7629;
PA 654,7634;
PA 654,7638;
PA 656,7643;
PA 658,7645;
PA 663,7647;
PA 674,7647;
PA 682,7645;
PU;PA 730,7604;
PD;PA 728,7601;
PA 720,7599;
PA 716,7599;
PA 709,7601;
PA 704,7606;
PA 702,7610;
PA 700,7619;
PA 700,7627;
PA 702,7636;
PA 704,7641;
PA 709,7645;
PA 716,7647;
PA 720,7647;
PA 728,7645;
PA 730,7643;
PU;PA 750,7599;
PD;PA 750,7647;
PU;PA 778,7599;
PD;PA 757,7627;
PU;PA 778,7647;
PD;PA 750,7619;
PU;PA 816,7620;
PD;PA 793,7663;
PA 621,7663;
PA 621,7620;
PA 621,7578;
PA 793,7578;
PA 816,7620;
PU;PA 9051,7702;
PD;PA 9051,7539;
PU;PA 9112,7702;
PD;PA 9112,7539;
PU;PA 9112,7620;
PD;PA 9286,7620;
PU;PA 9051,7620;
PD;PA 8878,7620;
PU;PA 9201,7535;
PD;PA 9203,7533;
PA 9205,7528;
PA 9205,7523;
PA 9203,7517;
PA 9199,7513;
PA 9196,7512;
PA 9188,7510;
PA 9182,7510;
PA 9175,7512;
PA 9170,7513;
PA 9166,7517;
PA 9164,7523;
PA 9164,7528;
PA 9166,7533;
PA 9168,7535;
PU;PA 9164,7572;
PD;PA 9164,7553;
PA 9184,7551;
PA 9182,7553;
PA 9180,7556;
PA 9180,7566;
PA 9182,7570;
PA 9184,7572;
PA 9188,7573;
PA 9197,7573;
PA 9201,7572;
PA 9203,7570;
PA 9205,7566;
PA 9205,7556;
PA 9203,7553;
PA 9201,7551;
PU;PA 9178,7609;
PD;PA 9205,7609;
PU;PA 9162,7599;
PD;PA 9192,7590;
PA 9192,7614;
PU;PA 8976,7499;
PD;PA 8976,7503;
PA 8978,7507;
PA 8980,7509;
PA 8984,7511;
PA 8991,7512;
PA 9001,7512;
PA 9008,7511;
PA 9012,7509;
PA 9014,7507;
PA 9016,7503;
PA 9016,7499;
PA 9014,7495;
PA 9012,7493;
PA 9008,7492;
PA 9001,7490;
PA 8991,7490;
PA 8984,7492;
PA 8980,7493;
PA 8978,7495;
PA 8976,7499;
PU;PA 9012,7531;
PD;PA 9014,7532;
PA 9016,7531;
PA 9014,7529;
PA 9012,7531;
PA 9016,7531;
PU;PA 9016,7570;
PD;PA 9016,7548;
PU;PA 9016,7559;
PD;PA 8976,7559;
PA 8982,7555;
PA 8986,7551;
PA 8988,7548;
PU;PA 8989,7606;
PD;PA 9016,7606;
PU;PA 8989,7589;
PD;PA 9010,7589;
PA 9014,7590;
PA 9016,7594;
PA 9016,7600;
PA 9014,7604;
PA 9012,7606;
PU;PA 9286,7569;
PD;PA 9337,7620;
PA 9286,7671;
PA 9286,7569;
PU;PA 9051,6452;
PD;PA 9051,6289;
PU;PA 9112,6452;
PD;PA 9112,6289;
PU;PA 9112,6370;
PD;PA 9286,6370;
PU;PA 9051,6370;
PD;PA 8878,6370;
PU;PA 9201,6285;
PD;PA 9203,6283;
PA 9205,6278;
PA 9205,6273;
PA 9203,6267;
PA 9199,6263;
PA 9196,6262;
PA 9188,6260;
PA 9182,6260;
PA 9175,6262;
PA 9170,6263;
PA 9166,6267;
PA 9164,6273;
PA 9164,6278;
PA 9166,6283;
PA 9168,6285;
PU;PA 9164,6322;
PD;PA 9164,6303;
PA 9184,6301;
PA 9182,6303;
PA 9180,6306;
PA 9180,6316;
PA 9182,6320;
PA 9184,6322;
PA 9188,6323;
PA 9197,6323;
PA 9201,6322;
PA 9203,6320;
PA 9205,6316;
PA 9205,6306;
PA 9203,6303;
PA 9201,6301;
PU;PA 9164,6361;
PD;PA 9164,6342;
PA 9184,6340;
PA 9182,6342;
PA 9180,6345;
PA 9180,6355;
PA 9182,6359;
PA 9184,6361;
PA 9188,6362;
PA 9197,6362;
PA 9201,6361;
PA 9203,6359;
PA 9205,6355;
PA 9205,6345;
PA 9203,6342;
PA 9201,6340;
PU;PA 8976,6249;
PD;PA 8976,6253;
PA 8978,6257;
PA 8980,6259;
PA 8984,6261;
PA 8991,6262;
PA 9001,6262;
PA 9008,6261;
PA 9012,6259;
PA 9014,6257;
PA 9016,6253;
PA 9016,6249;
PA 9014,6245;
PA 9012,6243;
PA 9008,6242;
PA 9001,6240;
PA 8991,6240;
PA 8984,6242;
PA 8980,6243;
PA 8978,6245;
PA 8976,6249;
PU;PA 9012,6281;
PD;PA 9014,6282;
PA 9016,6281;
PA 9014,6279;
PA 9012,6281;
PA 9016,6281;
PU;PA 9016,6320;
PD;PA 9016,6298;
PU;PA 9016,6309;
PD;PA 8976,6309;
PA 8982,6305;
PA 8986,6301;
PA 8988,6298;
PU;PA 8989,6356;
PD;PA 9016,6356;
PU;PA 8989,6339;
PD;PA 9010,6339;
PA 9014,6340;
PA 9016,6344;
PA 9016,6350;
PA 9014,6354;
PA 9012,6356;
PU;PA 9286,6319;
PD;PA 9337,6370;
PA 9286,6421;
PA 9286,6319;
PU;PA 9051,5279;
PD;PA 9051,5115;
PU;PA 9112,5279;
PD;PA 9112,5115;
PU;PA 9112,5197;
PD;PA 9286,5197;
PU;PA 9051,5197;
PD;PA 8878,5197;
PU;PA 9201,5111;
PD;PA 9203,5109;
PA 9205,5104;
PA 9205,5100;
PA 9203,5094;
PA 9199,5090;
PA 9196,5089;
PA 9188,5087;
PA 9182,5087;
PA 9175,5089;
PA 9170,5090;
PA 9166,5094;
PA 9164,5100;
PA 9164,5104;
PA 9166,5109;
PA 9168,5111;
PU;PA 9164,5149;
PD;PA 9164,5130;
PA 9184,5128;
PA 9182,5130;
PA 9180,5133;
PA 9180,5143;
PA 9182,5147;
PA 9184,5149;
PA 9188,5150;
PA 9197,5150;
PA 9201,5149;
PA 9203,5147;
PA 9205,5143;
PA 9205,5133;
PA 9203,5130;
PA 9201,5128;
PU;PA 9164,5186;
PD;PA 9164,5178;
PA 9166,5173;
PA 9168,5171;
PA 9175,5168;
PA 9182,5166;
PA 9197,5166;
PA 9201,5168;
PA 9203,5169;
PA 9205,5173;
PA 9205,5182;
PA 9203,5186;
PA 9201,5188;
PA 9197,5189;
PA 9188,5189;
PA 9184,5188;
PA 9182,5186;
PA 9180,5182;
PA 9180,5173;
PA 9182,5169;
PA 9184,5168;
PA 9188,5166;
PU;PA 8976,5076;
PD;PA 8976,5080;
PA 8978,5084;
PA 8980,5086;
PA 8984,5088;
PA 8991,5089;
PA 9001,5089;
PA 9008,5088;
PA 9012,5086;
PA 9014,5084;
PA 9016,5080;
PA 9016,5076;
PA 9014,5071;
PA 9012,5069;
PA 9008,5068;
PA 9001,5066;
PA 8991,5066;
PA 8984,5068;
PA 8980,5069;
PA 8978,5071;
PA 8976,5076;
PU;PA 9012,5107;
PD;PA 9014,5108;
PA 9016,5107;
PA 9014,5105;
PA 9012,5107;
PA 9016,5107;
PU;PA 9016,5147;
PD;PA 9016,5124;
PU;PA 9016,5136;
PD;PA 8976,5136;
PA 8982,5132;
PA 8986,5128;
PA 8988,5124;
PU;PA 8989,5183;
PD;PA 9016,5183;
PU;PA 8989,5165;
PD;PA 9010,5165;
PA 9014,5166;
PA 9016,5170;
PA 9016,5177;
PA 9014,5181;
PA 9012,5183;
PU;PA 9051,4003;
PD;PA 9051,3840;
PU;PA 9112,4003;
PD;PA 9112,3840;
PU;PA 9112,3921;
PD;PA 9286,3921;
PU;PA 9051,3921;
PD;PA 8878,3921;
PU;PA 9201,3836;
PD;PA 9203,3834;
PA 9205,3829;
PA 9205,3824;
PA 9203,3818;
PA 9199,3814;
PA 9196,3813;
PA 9188,3811;
PA 9182,3811;
PA 9175,3813;
PA 9170,3814;
PA 9166,3818;
PA 9164,3824;
PA 9164,3829;
PA 9166,3834;
PA 9168,3836;
PU;PA 9164,3873;
PD;PA 9164,3854;
PA 9184,3852;
PA 9182,3854;
PA 9180,3857;
PA 9180,3867;
PA 9182,3871;
PA 9184,3873;
PA 9188,3874;
PA 9197,3874;
PA 9201,3873;
PA 9203,3871;
PA 9205,3867;
PA 9205,3857;
PA 9203,3854;
PA 9201,3852;
PU;PA 9164,3889;
PD;PA 9164,3915;
PA 9205,3898;
PU;PA 8976,3800;
PD;PA 8976,3804;
PA 8978,3808;
PA 8980,3810;
PA 8984,3812;
PA 8991,3813;
PA 9001,3813;
PA 9008,3812;
PA 9012,3810;
PA 9014,3808;
PA 9016,3804;
PA 9016,3800;
PA 9014,3796;
PA 9012,3794;
PA 9008,3793;
PA 9001,3791;
PA 8991,3791;
PA 8984,3793;
PA 8980,3794;
PA 8978,3796;
PA 8976,3800;
PU;PA 9012,3832;
PD;PA 9014,3833;
PA 9016,3832;
PA 9014,3830;
PA 9012,3832;
PA 9016,3832;
PU;PA 9016,3871;
PD;PA 9016,3849;
PU;PA 9016,3860;
PD;PA 8976,3860;
PA 8982,3856;
PA 8986,3852;
PA 8988,3849;
PU;PA 8989,3907;
PD;PA 9016,3907;
PU;PA 8989,3890;
PD;PA 9010,3890;
PA 9014,3891;
PA 9016,3895;
PA 9016,3901;
PA 9014,3905;
PA 9012,3907;
PU;PA 9286,5146;
PD;PA 9337,5197;
PA 9286,5248;
PA 9286,5146;
PU;PA 9286,3870;
PD;PA 9337,3921;
PA 9286,3972;
PA 9286,3870;
PU;PA 4133,5478;
CI 113.266;
PU;PA 4082,5478;
PD;PA 4184,5580;
PU;PA 4082,5554;
PD;PA 4082,5401;
PA 4082,5554;
PU;PA 4107,5452;
PD;PA 4082,5478;
PU;PA 4184,5376;
PD;PA 4148,5411;
PU;PA 4107,5452;
PD;PA 4133,5401;
PA 4158,5427;
PA 4107,5452;
PU;PA 4184,5376;
PD;PA 4184,5273;
PU;PA 4171,5336;
PD;PA 4171,5313;
PU;PA 4171,5324;
PD;PA 4131,5324;
PA 4137,5320;
PA 4141,5316;
PA 4143,5313;
PU;PA 4082,5478;
PD;PA 3878,5478;
PU;PA 3968,5527;
PD;PA 3970,5529;
PA 3973,5531;
PA 3984,5531;
PA 3988,5529;
PA 3990,5527;
PA 3991,5522;
PA 3991,5518;
PA 3990,5513;
PA 3966,5490;
PA 3991,5490;
PU;PA 4184,5580;
PD;PA 4184,5682;
PU;PA 4131,5617;
PD;PA 4131,5642;
PA 4146,5629;
PA 4146,5635;
PA 4148,5639;
PA 4150,5641;
PA 4154,5642;
PA 4163,5642;
PA 4167,5641;
PA 4169,5639;
PA 4171,5635;
PA 4171,5622;
PA 4169,5619;
PA 4167,5617;
PU;PA 4281,5351;
PD;PA 4276,5353;
PA 4271,5358;
PA 4264,5365;
PA 4259,5367;
PA 4254,5367;
PU;PA 4256,5355;
PD;PA 4252,5358;
PA 4247,5363;
PA 4245,5372;
PA 4245,5390;
PA 4247,5399;
PA 4252,5404;
PA 4256,5406;
PA 4266,5406;
PA 4271,5404;
PA 4276,5399;
PA 4279,5390;
PA 4279,5372;
PA 4276,5363;
PA 4271,5358;
PA 4266,5355;
PA 4256,5355;
PU;PA 4298,5402;
PD;PA 4300,5404;
PA 4305,5406;
PA 4317,5406;
PA 4321,5404;
PA 4324,5402;
PA 4327,5397;
PA 4327,5392;
PA 4324,5385;
PA 4295,5355;
PA 4327,5355;
PU;PA 4246,5661;
PD;PA 4278,5661;
PA 4260,5642;
PA 4268,5642;
PA 4272,5640;
PA 4276,5638;
PA 4278,5633;
PA 4278,5620;
PA 4276,5615;
PA 4272,5613;
PA 4268,5610;
PA 4253,5610;
PA 4249,5613;
PA 4246,5615;
PU;PA 4302,5610;
PD;PA 4312,5610;
PA 4317,5613;
PA 4319,5615;
PA 4324,5622;
PA 4327,5633;
PA 4327,5652;
PA 4324,5657;
PA 4321,5659;
PA 4317,5661;
PA 4307,5661;
PA 4302,5659;
PA 4300,5657;
PA 4298,5652;
PA 4298,5640;
PA 4300,5635;
PA 4302,5633;
PA 4307,5630;
PA 4317,5630;
PA 4321,5633;
PA 4324,5635;
PA 4327,5640;
PU;PA 4358,5661;
PD;PA 4363,5661;
PA 4368,5659;
PA 4370,5657;
PA 4373,5652;
PA 4376,5642;
PA 4376,5630;
PA 4373,5620;
PA 4370,5615;
PA 4368,5613;
PA 4363,5610;
PA 4358,5610;
PA 4354,5613;
PA 4351,5615;
PA 4349,5620;
PA 4347,5630;
PA 4347,5642;
PA 4349,5652;
PA 4351,5657;
PA 4354,5659;
PA 4358,5661;
PU;PA 4419,5661;
PD;PA 4410,5661;
PA 4405,5659;
PA 4403,5657;
PA 4398,5649;
PA 4396,5640;
PA 4396,5620;
PA 4398,5615;
PA 4400,5613;
PA 4405,5610;
PA 4415,5610;
PA 4419,5613;
PA 4422,5615;
PA 4424,5620;
PA 4424,5633;
PA 4422,5638;
PA 4419,5640;
PA 4415,5642;
PA 4405,5642;
PA 4400,5640;
PA 4398,5638;
PA 4396,5633;
PU;PA 10102,3488;
PD;PU;PA 10102,3488;
PD;PA 10102,3539;
PA 10026,3590;
PA 10102,3641;
PA 10179,3590;
PA 10102,3539;
PU;PA 9996,3659;
PD;PA 9996,3690;
PA 10008,3690;
PA 10010,3689;
PA 10012,3688;
PA 10013,3685;
PA 10013,3680;
PA 10012,3678;
PA 10010,3676;
PA 10008,3674;
PA 9996,3674;
PU;PA 10023,3690;
PD;PA 10031,3659;
PA 10037,3682;
PA 10043,3659;
PA 10050,3690;
PU;PA 10079,3659;
PD;PA 10068,3674;
PU;PA 10061,3659;
PD;PA 10061,3690;
PA 10073,3690;
PA 10076,3689;
PA 10078,3688;
PA 10079,3685;
PA 10079,3680;
PA 10078,3678;
PA 10076,3676;
PA 10073,3674;
PA 10061,3674;
PU;PA 10085,3657;
PD;PA 10108,3657;
PU;PA 10126,3676;
PD;PA 10115,3676;
PU;PA 10115,3659;
PD;PA 10115,3690;
PA 10130,3690;
PU;PA 10156,3659;
PD;PA 10142,3659;
PA 10142,3690;
PU;PA 10165,3668;
PD;PA 10180,3668;
PU;PA 10162,3659;
PD;PA 10172,3690;
PA 10183,3659;
PU;PA 10209,3689;
PD;PA 10206,3690;
PA 10202,3690;
PA 10197,3689;
PA 10195,3686;
PA 10193,3683;
PA 10192,3678;
PA 10192,3672;
PA 10193,3667;
PA 10195,3664;
PA 10197,3661;
PA 10202,3659;
PA 10205,3659;
PA 10209,3661;
PA 10210,3662;
PA 10210,3672;
PA 10205,3672;
PU;PA 10102,2518;
PD;PU;PA 10102,2518;
PD;PA 10102,2467;
PA 10179,2416;
PA 10102,2365;
PA 10026,2416;
PA 10102,2467;
PU;PA 9995,2319;
PD;PA 9995,2350;
PA 10007,2350;
PA 10009,2349;
PA 10011,2348;
PA 10012,2345;
PA 10012,2340;
PA 10011,2338;
PA 10009,2336;
PA 10007,2335;
PA 9995,2335;
PU;PA 10022,2350;
PD;PA 10030,2319;
PA 10036,2342;
PA 10042,2319;
PA 10049,2350;
PU;PA 10078,2319;
PD;PA 10067,2335;
PU;PA 10060,2319;
PD;PA 10060,2350;
PA 10072,2350;
PA 10075,2349;
PA 10077,2348;
PA 10078,2345;
PA 10078,2340;
PA 10077,2338;
PA 10075,2336;
PA 10072,2335;
PA 10060,2335;
PU;PA 10084,2317;
PD;PA 10107,2317;
PU;PA 10125,2336;
PD;PA 10114,2336;
PU;PA 10114,2319;
PD;PA 10114,2350;
PA 10129,2350;
PU;PA 10155,2319;
PD;PA 10141,2319;
PA 10141,2350;
PU;PA 10164,2329;
PD;PA 10179,2329;
PU;PA 10161,2319;
PD;PA 10171,2350;
PA 10182,2319;
PU;PA 10208,2349;
PD;PA 10205,2350;
PA 10201,2350;
PA 10196,2349;
PA 10194,2346;
PA 10192,2343;
PA 10191,2338;
PA 10191,2333;
PA 10192,2328;
PA 10194,2324;
PA 10196,2321;
PA 10201,2319;
PA 10204,2319;
PA 10208,2321;
PA 10209,2322;
PA 10209,2333;
PA 10204,2333;
PU;PA 4618,4124;
PD;PA 4667,4076;
PU;PA 4667,4124;
PD;PA 4618,4076;
PU;PA 3904,4022;
PD;PA 3953,3973;
PU;PA 3953,4022;
PD;PA 3904,3973;
PU;PA 3904,3920;
PD;PA 3953,3871;
PU;PA 3953,3920;
PD;PA 3904,3871;
PU;PA 6684,4253;
PD;PA 7092,4049;
PA 6684,3845;
PA 6684,4253;
PU;PA 6786,4202;
PD;PA 6786,4457;
PU;PA 6763,4100;
PD;PA 6804,4113;
PA 6763,4127;
PU;PA 6789,4141;
PD;PA 6789,4171;
PU;PA 6804,4156;
PD;PA 6773,4156;
PU;PA 6746,4338;
PD;PA 6773,4338;
PU;PA 6731,4328;
PD;PA 6760,4318;
PA 6760,4343;
PU;PA 6786,3896;
PD;PA 6786,3641;
PU;PA 6763,3920;
PD;PA 6804,3934;
PA 6763,3947;
PU;PA 6789,3961;
PD;PA 6789,3992;
PU;PA 6773,3760;
PD;PA 6773,3738;
PU;PA 6773,3749;
PD;PA 6733,3749;
PA 6739,3745;
PA 6743,3741;
PA 6745,3738;
PU;PA 6773,3799;
PD;PA 6773,3777;
PU;PA 6773,3788;
PD;PA 6733,3788;
PA 6739,3784;
PA 6743,3780;
PA 6745,3777;
PU;PA 7092,4049;
PD;PA 7398,4049;
PU;PA 7256,4061;
PD;PA 7234,4061;
PU;PA 7245,4061;
PD;PA 7245,4102;
PA 7241,4096;
PA 7237,4092;
PA 7234,4090;
PU;PA 6684,3947;
PD;PA 6378,3947;
PU;PA 6714,3944;
PD;PA 6745,3944;
PU;PA 6519,3996;
PD;PA 6521,3998;
PA 6525,4000;
PA 6535,4000;
PA 6539,3998;
PA 6541,3996;
PA 6542,3992;
PA 6542,3988;
PA 6541,3983;
PA 6517,3959;
PA 6542,3959;
PU;PA 6684,4151;
PD;PA 6378,4151;
PU;PA 6714,4148;
PD;PA 6745,4148;
PU;PA 6730,4133;
PD;PA 6730,4163;
PU;PA 6517,4204;
PD;PA 6542,4204;
PA 6529,4189;
PA 6535,4189;
PA 6539,4187;
PA 6541,4185;
PA 6542,4181;
PA 6542,4171;
PA 6541,4167;
PA 6539,4165;
PA 6535,4163;
PA 6522,4163;
PA 6519,4165;
PA 6517,4167;
PU;PA 6837,4290;
PD;PA 6837,4240;
PA 6840,4235;
PA 6843,4232;
PA 6849,4229;
PA 6860,4229;
PA 6866,4232;
PA 6869,4235;
PA 6872,4240;
PA 6872,4290;
PU;PA 6934,4229;
PD;PA 6898,4229;
PU;PA 6916,4229;
PD;PA 6916,4290;
PA 6910,4281;
PA 6904,4276;
PA 6898,4272;
PU;PA 6954,4290;
PD;PA 6992,4290;
PA 6971,4266;
PA 6980,4266;
PA 6986,4263;
PA 6989,4260;
PA 6992,4255;
PA 6992,4240;
PA 6989,4235;
PA 6986,4232;
PA 6980,4229;
PA 6962,4229;
PA 6956,4232;
PA 6954,4235;
PU;PA 7014,4246;
PD;PA 7044,4246;
PU;PA 7009,4229;
PD;PA 7030,4290;
PA 7050,4229;
PU;PA 6933,3876;
PD;PA 6961,3876;
PU;PA 6947,3824;
PD;PA 6947,3876;
PU;PA 7003,3824;
PD;PA 6979,3824;
PA 6979,3876;
PU;PA 7029,3876;
PD;PA 7034,3876;
PA 7039,3873;
PA 7041,3871;
PA 7044,3866;
PA 7046,3856;
PA 7046,3844;
PA 7044,3835;
PA 7041,3830;
PA 7039,3828;
PA 7034,3824;
PA 7029,3824;
PA 7025,3828;
PA 7021,3830;
PA 7019,3835;
PA 7017,3844;
PA 7017,3856;
PA 7019,3866;
PA 7021,3871;
PA 7025,3873;
PA 7029,3876;
PU;PA 7076,3854;
PD;PA 7070,3856;
PA 7068,3859;
PA 7066,3863;
PA 7066,3866;
PA 7068,3871;
PA 7070,3873;
PA 7076,3876;
PA 7086,3876;
PA 7090,3873;
PA 7093,3871;
PA 7095,3866;
PA 7095,3863;
PA 7093,3859;
PA 7090,3856;
PA 7086,3854;
PA 7076,3854;
PA 7070,3852;
PA 7068,3849;
PA 7066,3844;
PA 7066,3835;
PA 7068,3830;
PA 7070,3828;
PA 7076,3824;
PA 7086,3824;
PA 7090,3828;
PA 7093,3830;
PA 7095,3835;
PA 7095,3844;
PA 7093,3849;
PA 7090,3852;
PA 7086,3854;
PU;PA 7139,3859;
PD;PA 7139,3824;
PU;PA 7127,3879;
PD;PA 7115,3842;
PA 7146,3842;
PU;PA 6633,6651;
PD;PA 7041,6447;
PA 6633,6243;
PA 6633,6651;
PU;PA 6735,6600;
PD;PA 6735,6855;
PU;PA 6712,6498;
PD;PA 6753,6511;
PA 6712,6525;
PU;PA 6738,6539;
PD;PA 6738,6569;
PU;PA 6753,6554;
PD;PA 6722,6554;
PU;PA 6695,6736;
PD;PA 6722,6736;
PU;PA 6680,6726;
PD;PA 6709,6716;
PA 6709,6741;
PU;PA 6735,6294;
PD;PA 6735,6039;
PU;PA 6712,6318;
PD;PA 6753,6332;
PA 6712,6345;
PU;PA 6738,6359;
PD;PA 6738,6390;
PU;PA 6722,6158;
PD;PA 6722,6136;
PU;PA 6722,6147;
PD;PA 6682,6147;
PA 6688,6143;
PA 6692,6139;
PA 6694,6136;
PU;PA 6722,6197;
PD;PA 6722,6175;
PU;PA 6722,6186;
PD;PA 6682,6186;
PA 6688,6182;
PA 6692,6178;
PA 6694,6175;
PU;PA 6633,6549;
PD;PA 6327,6549;
PU;PA 6663,6546;
PD;PA 6694,6546;
PU;PA 6679,6531;
PD;PA 6679,6561;
PU;PA 6471,6561;
PD;PA 6449,6561;
PU;PA 6460,6561;
PD;PA 6460,6602;
PA 6456,6596;
PA 6452,6592;
PA 6449,6590;
PU;PA 6488,6598;
PD;PA 6490,6600;
PA 6493,6602;
PA 6503,6602;
PA 6507,6600;
PA 6509,6598;
PA 6510,6594;
PA 6510,6590;
PA 6509,6585;
PA 6486,6561;
PA 6510,6561;
PU;PA 6633,6345;
PD;PA 6327,6345;
PU;PA 6663,6342;
PD;PA 6694,6342;
PU;PA 6471,6357;
PD;PA 6449,6357;
PU;PA 6460,6357;
PD;PA 6460,6398;
PA 6456,6392;
PA 6452,6388;
PA 6449,6386;
PU;PA 6486,6398;
PD;PA 6510,6398;
PA 6497,6383;
PA 6503,6383;
PA 6507,6381;
PA 6509,6379;
PA 6510,6375;
PA 6510,6365;
PA 6509,6361;
PA 6507,6359;
PA 6503,6357;
PA 6491,6357;
PA 6488,6359;
PA 6486,6361;
PU;PA 7041,6447;
PD;PA 7347,6447;
PU;PA 7186,6459;
PD;PA 7163,6459;
PU;PA 7175,6459;
PD;PA 7175,6500;
PA 7170,6494;
PA 7166,6490;
PA 7163,6488;
PU;PA 7221,6487;
PD;PA 7221,6459;
PU;PA 7211,6502;
PD;PA 7202,6472;
PA 7227,6472;
PU;PA 6782,6688;
PD;PA 6782,6638;
PA 6785,6633;
PA 6788,6630;
PA 6794,6627;
PA 6805,6627;
PA 6811,6630;
PA 6814,6633;
PA 6817,6638;
PA 6817,6688;
PU;PA 6879,6627;
PD;PA 6843,6627;
PU;PA 6861,6627;
PD;PA 6861,6688;
PA 6855,6679;
PA 6849,6673;
PA 6843,6670;
PU;PA 6899,6688;
PD;PA 6937,6688;
PA 6916,6664;
PA 6925,6664;
PA 6931,6661;
PA 6934,6658;
PA 6937,6653;
PA 6937,6638;
PA 6934,6633;
PA 6931,6630;
PA 6925,6627;
PA 6907,6627;
PA 6901,6630;
PA 6899,6633;
PU;PA 6962,6627;
PD;PA 6962,6688;
PA 6978,6688;
PA 6986,6685;
PA 6992,6679;
PA 6995,6673;
PA 6998,6661;
PA 6998,6653;
PA 6995,6641;
PA 6992,6635;
PA 6986,6630;
PA 6978,6627;
PA 6962,6627;
PU;PA 6882,6273;
PD;PA 6910,6273;
PU;PA 6896,6222;
PD;PA 6896,6273;
PU;PA 6952,6222;
PD;PA 6928,6222;
PA 6928,6273;
PU;PA 6978,6273;
PD;PA 6983,6273;
PA 6988,6271;
PA 6990,6269;
PA 6993,6264;
PA 6995,6254;
PA 6995,6242;
PA 6993,6233;
PA 6990,6228;
PA 6988,6226;
PA 6983,6222;
PA 6978,6222;
PA 6973,6226;
PA 6970,6228;
PA 6968,6233;
PA 6966,6242;
PA 6966,6254;
PA 6968,6264;
PA 6970,6269;
PA 6973,6271;
PA 6978,6273;
PU;PA 7025,6252;
PD;PA 7019,6254;
PA 7017,6257;
PA 7015,6261;
PA 7015,6264;
PA 7017,6269;
PA 7019,6271;
PA 7025,6273;
PA 7035,6273;
PA 7039,6271;
PA 7042,6269;
PA 7044,6264;
PA 7044,6261;
PA 7042,6257;
PA 7039,6254;
PA 7035,6252;
PA 7025,6252;
PA 7019,6250;
PA 7017,6247;
PA 7015,6242;
PA 7015,6233;
PA 7017,6228;
PA 7019,6226;
PA 7025,6222;
PA 7035,6222;
PA 7039,6226;
PA 7042,6228;
PA 7044,6233;
PA 7044,6242;
PA 7042,6247;
PA 7039,6250;
PA 7035,6252;
PU;PA 7088,6257;
PD;PA 7088,6222;
PU;PA 7076,6277;
PD;PA 7064,6240;
PA 7095,6240;
PU;PA 3265,1855;
EA 2449,2978;
PU;PA 2806,2314;
PD;PA 2857,2518;
PA 2959,2518;
PU;PA 2755,2314;
PD;PA 2908,2314;
PA 2959,2518;
PA 3010,2518;
PU;PA 2449,2773;
PD;PA 2143,2773;
PU;PA 2470,2763;
PD;PA 2500,2763;
PU;PA 2465,2746;
PD;PA 2486,2807;
PA 2506,2746;
PU;PA 2526,2769;
PD;PA 2572,2769;
PU;PA 2601,2787;
PD;PA 2648,2769;
PA 2601,2752;
PU;PA 2697,2778;
PD;PA 2706,2774;
PA 2709,2772;
PA 2712,2766;
PA 2712,2757;
PA 2709,2752;
PA 2706,2749;
PA 2700,2746;
PA 2677,2746;
PA 2677,2807;
PA 2697,2807;
PA 2703,2804;
PA 2706,2801;
PA 2709,2795;
PA 2709,2790;
PA 2706,2784;
PA 2703,2781;
PA 2697,2778;
PA 2677,2778;
PU;PA 2314,2787;
PD;PA 2279,2787;
PU;PA 2297,2787;
PD;PA 2297,2848;
PA 2291,2839;
PA 2285,2834;
PA 2279,2831;
PU;PA 3265,1906;
PD;PA 3571,1906;
PU;PA 3156,1896;
PD;PA 3186,1896;
PU;PA 3151,1879;
PD;PA 3171,1940;
PA 3192,1879;
PU;PA 3223,1940;
PD;PA 3229,1940;
PA 3235,1937;
PA 3238,1934;
PA 3241,1928;
PA 3244,1916;
PA 3244,1902;
PA 3241,1890;
PA 3238,1885;
PA 3235,1882;
PA 3229,1879;
PA 3223,1879;
PA 3217,1882;
PA 3214,1885;
PA 3211,1890;
PA 3208,1902;
PA 3208,1916;
PA 3211,1928;
PA 3214,1934;
PA 3217,1937;
PA 3223,1940;
PU;PA 3401,1974;
PD;PA 3404,1978;
PA 3410,1981;
PA 3424,1981;
PA 3431,1978;
PA 3434,1974;
PA 3437,1968;
PA 3437,1963;
PA 3434,1954;
PA 3399,1919;
PA 3437,1919;
PU;PA 3265,2008;
PD;PA 3571,2008;
PU;PA 3156,1998;
PD;PA 3186,1998;
PU;PA 3151,1981;
PD;PA 3171,2042;
PA 3192,1981;
PU;PA 3244,1981;
PD;PA 3208,1981;
PU;PA 3227,1981;
PD;PA 3227,2042;
PA 3220,2033;
PA 3214,2028;
PA 3208,2024;
PU;PA 3399,2083;
PD;PA 3437,2083;
PA 3416,2059;
PA 3424,2059;
PA 3431,2056;
PA 3434,2053;
PA 3437,2048;
PA 3437,2033;
PA 3434,2028;
PA 3431,2024;
PA 3424,2021;
PA 3407,2021;
PA 3401,2024;
PA 3399,2028;
PU;PA 3265,2110;
PD;PA 3571,2110;
PU;PA 3156,2100;
PD;PA 3186,2100;
PU;PA 3151,2083;
PD;PA 3171,2144;
PA 3192,2083;
PU;PA 3208,2138;
PD;PA 3211,2141;
PA 3217,2144;
PA 3232,2144;
PA 3238,2141;
PA 3241,2138;
PA 3244,2132;
PA 3244,2127;
PA 3241,2117;
PA 3206,2083;
PA 3244,2083;
PU;PA 3431,2164;
PD;PA 3431,2123;
PU;PA 3416,2188;
PD;PA 3401,2144;
PA 3440,2144;
PU;PA 3265,2212;
PD;PA 3571,2212;
PU;PA 3156,2202;
PD;PA 3186,2202;
PU;PA 3151,2185;
PD;PA 3171,2246;
PA 3192,2185;
PU;PA 3206,2246;
PD;PA 3244,2246;
PA 3223,2222;
PA 3232,2222;
PA 3238,2219;
PA 3241,2216;
PA 3244,2211;
PA 3244,2196;
PA 3241,2191;
PA 3238,2188;
PA 3232,2185;
PA 3214,2185;
PA 3208,2188;
PA 3206,2191;
PU;PA 3434,2287;
PD;PA 3404,2287;
PA 3401,2257;
PA 3404,2260;
PA 3410,2263;
PA 3424,2263;
PA 3431,2260;
PA 3434,2257;
PA 3437,2252;
PA 3437,2237;
PA 3434,2232;
PA 3431,2229;
PA 3424,2226;
PA 3410,2226;
PA 3404,2229;
PA 3401,2232;
PU;PA 3265,2314;
PD;PA 3571,2314;
PU;PA 3156,2304;
PD;PA 3186,2304;
PU;PA 3151,2287;
PD;PA 3171,2348;
PA 3192,2287;
PU;PA 3238,2328;
PD;PA 3238,2287;
PU;PA 3223,2351;
PD;PA 3208,2307;
PA 3247,2307;
PU;PA 3431,2389;
PD;PA 3419,2389;
PA 3413,2386;
PA 3410,2383;
PA 3404,2374;
PA 3401,2362;
PA 3401,2339;
PA 3404,2334;
PA 3407,2331;
PA 3413,2328;
PA 3424,2328;
PA 3431,2331;
PA 3434,2334;
PA 3437,2339;
PA 3437,2354;
PA 3434,2359;
PA 3431,2362;
PA 3424,2365;
PA 3413,2365;
PA 3407,2362;
PA 3404,2359;
PA 3401,2354;
PU;PA 3265,2416;
PD;PA 3571,2416;
PU;PA 3156,2406;
PD;PA 3186,2406;
PU;PA 3151,2389;
PD;PA 3171,2450;
PA 3192,2389;
PU;PA 3241,2450;
PD;PA 3211,2450;
PA 3208,2420;
PA 3211,2423;
PA 3217,2427;
PA 3232,2427;
PA 3238,2423;
PA 3241,2420;
PA 3244,2415;
PA 3244,2400;
PA 3241,2395;
PA 3238,2392;
PA 3232,2389;
PA 3217,2389;
PA 3211,2392;
PA 3208,2395;
PU;PA 3399,2491;
PD;PA 3440,2491;
PA 3413,2430;
PU;PA 3265,2518;
PD;PA 3571,2518;
PU;PA 3156,2508;
PD;PA 3186,2508;
PU;PA 3151,2491;
PD;PA 3171,2552;
PA 3192,2491;
PU;PA 3238,2552;
PD;PA 3227,2552;
PA 3220,2549;
PA 3217,2546;
PA 3211,2538;
PA 3208,2526;
PA 3208,2502;
PA 3211,2497;
PA 3214,2494;
PA 3220,2491;
PA 3232,2491;
PA 3238,2494;
PA 3241,2497;
PA 3244,2502;
PA 3244,2517;
PA 3241,2522;
PA 3238,2526;
PA 3232,2529;
PA 3220,2529;
PA 3214,2526;
PA 3211,2522;
PA 3208,2517;
PU;PA 3413,2566;
PD;PA 3407,2569;
PA 3404,2572;
PA 3401,2579;
PA 3401,2581;
PA 3404,2587;
PA 3407,2590;
PA 3413,2593;
PA 3424,2593;
PA 3431,2590;
PA 3434,2587;
PA 3437,2581;
PA 3437,2579;
PA 3434,2572;
PA 3431,2569;
PA 3424,2566;
PA 3413,2566;
PA 3407,2563;
PA 3404,2560;
PA 3401,2555;
PA 3401,2543;
PA 3404,2538;
PA 3407,2535;
PA 3413,2532;
PA 3424,2532;
PA 3431,2535;
PA 3434,2538;
PA 3437,2543;
PA 3437,2555;
PA 3434,2560;
PA 3431,2563;
PA 3424,2566;
PU;PA 3265,2620;
PD;PA 3571,2620;
PU;PA 3156,2610;
PD;PA 3186,2610;
PU;PA 3151,2593;
PD;PA 3171,2654;
PA 3192,2593;
PU;PA 3206,2654;
PD;PA 3247,2654;
PA 3220,2593;
PU;PA 3407,2634;
PD;PA 3419,2634;
PA 3424,2637;
PA 3428,2640;
PA 3434,2648;
PA 3437,2660;
PA 3437,2683;
PA 3434,2689;
PA 3431,2692;
PA 3424,2695;
PA 3413,2695;
PA 3407,2692;
PA 3404,2689;
PA 3401,2683;
PA 3401,2668;
PA 3404,2662;
PA 3407,2660;
PA 3413,2657;
PA 3424,2657;
PA 3431,2660;
PA 3434,2662;
PA 3437,2668;
PU;PA 3265,2876;
PD;PA 3571,2876;
PU;PA 3115,2906;
PD;PA 3109,2909;
PA 3100,2909;
PA 3092,2906;
PA 3086,2900;
PA 3083,2895;
PA 3080,2883;
PA 3080,2874;
PA 3083,2862;
PA 3086,2856;
PA 3092,2851;
PA 3100,2848;
PA 3106,2848;
PA 3115,2851;
PA 3118,2854;
PA 3118,2874;
PA 3106,2874;
PU;PA 3144,2848;
PD;PA 3144,2909;
PA 3180,2848;
PA 3180,2909;
PU;PA 3208,2848;
PD;PA 3208,2909;
PA 3223,2909;
PA 3232,2906;
PA 3238,2900;
PA 3241,2895;
PA 3244,2883;
PA 3244,2874;
PA 3241,2862;
PA 3238,2856;
PA 3232,2851;
PA 3223,2848;
PA 3208,2848;
PU;PA 3407,2889;
PD;PA 3371,2889;
PU;PA 3390,2889;
PD;PA 3390,2950;
PA 3384,2941;
PA 3378,2936;
PA 3371,2933;
PU;PA 3445,2950;
PD;PA 3450,2950;
PA 3456,2947;
PA 3459,2944;
PA 3462,2938;
PA 3465,2927;
PA 3465,2912;
PA 3462,2900;
PA 3459,2895;
PA 3456,2892;
PA 3450,2889;
PA 3445,2889;
PA 3439,2892;
PA 3436,2895;
PA 3433,2900;
PA 3430,2912;
PA 3430,2927;
PA 3433,2938;
PA 3436,2944;
PA 3439,2947;
PA 3445,2950;
PU;PA 2449,2876;
PD;PA 2143,2876;
PU;PA 2465,2909;
PD;PA 2486,2848;
PA 2506,2909;
PU;PA 2561,2854;
PD;PA 2558,2851;
PA 2549,2848;
PA 2543,2848;
PA 2535,2851;
PA 2529,2856;
PA 2526,2862;
PA 2522,2874;
PA 2522,2883;
PA 2526,2895;
PA 2529,2900;
PA 2535,2906;
PA 2543,2909;
PA 2549,2909;
PA 2558,2906;
PA 2561,2903;
PU;PA 2622,2854;
PD;PA 2619,2851;
PA 2610,2848;
PA 2604,2848;
PA 2596,2851;
PA 2590,2856;
PA 2587,2862;
PA 2584,2874;
PA 2584,2883;
PA 2587,2895;
PA 2590,2900;
PA 2596,2906;
PA 2604,2909;
PA 2610,2909;
PA 2619,2906;
PA 2622,2903;
PU;PA 2249,2944;
PD;PA 2252,2947;
PA 2258,2950;
PA 2272,2950;
PA 2279,2947;
PA 2282,2944;
PA 2285,2938;
PA 2285,2933;
PA 2282,2923;
PA 2247,2889;
PA 2285,2889;
PU;PA 2322,2950;
PD;PA 2328,2950;
PA 2334,2947;
PA 2337,2944;
PA 2340,2938;
PA 2343,2927;
PA 2343,2912;
PA 2340,2900;
PA 2337,2895;
PA 2334,2892;
PA 2328,2889;
PA 2322,2889;
PA 2316,2892;
PA 2313,2895;
PA 2310,2900;
PA 2307,2912;
PA 2307,2927;
PA 2310,2938;
PA 2313,2944;
PA 2316,2947;
PA 2322,2950;
PU;PA 2449,2620;
PD;PA 2143,2620;
PU;PA 2494,2624;
PD;PA 2503,2621;
PA 2506,2619;
PA 2509,2613;
PA 2509,2604;
PA 2506,2599;
PA 2503,2596;
PA 2497,2593;
PA 2473,2593;
PA 2473,2654;
PA 2494,2654;
PA 2500,2651;
PA 2503,2648;
PA 2506,2642;
PA 2506,2637;
PA 2503,2631;
PA 2500,2628;
PA 2494,2624;
PA 2473,2624;
PU;PA 2530,2654;
PD;PA 2570,2654;
PA 2544,2593;
PU;PA 2285,2634;
PD;PA 2249,2634;
PU;PA 2267,2634;
PD;PA 2267,2695;
PA 2261,2686;
PA 2255,2681;
PA 2249,2678;
PU;PA 2343,2634;
PD;PA 2307,2634;
PU;PA 2326,2634;
PD;PA 2326,2695;
PA 2319,2686;
PA 2313,2681;
PA 2307,2678;
PU;PA 2449,2518;
PD;PA 2143,2518;
PU;PA 2494,2522;
PD;PA 2503,2519;
PA 2506,2517;
PA 2509,2511;
PA 2509,2502;
PA 2506,2497;
PA 2503,2494;
PA 2497,2491;
PA 2473,2491;
PA 2473,2552;
PA 2494,2552;
PA 2500,2549;
PA 2503,2546;
PA 2506,2540;
PA 2506,2535;
PA 2503,2529;
PA 2500,2526;
PA 2494,2522;
PA 2473,2522;
PU;PA 2561,2552;
PD;PA 2550,2552;
PA 2544,2549;
PA 2541,2546;
PA 2535,2538;
PA 2532,2526;
PA 2532,2502;
PA 2535,2497;
PA 2538,2494;
PA 2544,2491;
PA 2555,2491;
PA 2561,2494;
PA 2564,2497;
PA 2567,2502;
PA 2567,2517;
PA 2564,2522;
PA 2561,2526;
PA 2555,2529;
PA 2544,2529;
PA 2538,2526;
PA 2535,2522;
PA 2532,2517;
PU;PA 2285,2532;
PD;PA 2249,2532;
PU;PA 2267,2532;
PD;PA 2267,2593;
PA 2261,2584;
PA 2255,2579;
PA 2249,2576;
PU;PA 2307,2587;
PD;PA 2310,2590;
PA 2316,2593;
PA 2331,2593;
PA 2337,2590;
PA 2340,2587;
PA 2343,2581;
PA 2343,2576;
PA 2340,2566;
PA 2305,2532;
PA 2343,2532;
PU;PA 2449,2416;
PD;PA 2143,2416;
PU;PA 2494,2420;
PD;PA 2503,2417;
PA 2506,2415;
PA 2509,2409;
PA 2509,2400;
PA 2506,2395;
PA 2503,2392;
PA 2497,2389;
PA 2473,2389;
PA 2473,2450;
PA 2494,2450;
PA 2500,2447;
PA 2503,2444;
PA 2506,2438;
PA 2506,2433;
PA 2503,2427;
PA 2500,2423;
PA 2494,2420;
PA 2473,2420;
PU;PA 2564,2450;
PD;PA 2535,2450;
PA 2532,2420;
PA 2535,2423;
PA 2541,2427;
PA 2555,2427;
PA 2561,2423;
PA 2564,2420;
PA 2567,2415;
PA 2567,2400;
PA 2564,2395;
PA 2561,2392;
PA 2555,2389;
PA 2541,2389;
PA 2535,2392;
PA 2532,2395;
PU;PA 2285,2430;
PD;PA 2249,2430;
PU;PA 2267,2430;
PD;PA 2267,2491;
PA 2261,2482;
PA 2255,2477;
PA 2249,2473;
PU;PA 2305,2491;
PD;PA 2343,2491;
PA 2322,2467;
PA 2331,2467;
PA 2337,2464;
PA 2340,2461;
PA 2343,2456;
PA 2343,2441;
PA 2340,2436;
PA 2337,2433;
PA 2331,2430;
PA 2313,2430;
PA 2307,2433;
PA 2305,2436;
PU;PA 2449,2314;
PD;PA 2143,2314;
PU;PA 2494,2318;
PD;PA 2503,2315;
PA 2506,2313;
PA 2509,2307;
PA 2509,2298;
PA 2506,2293;
PA 2503,2290;
PA 2497,2287;
PA 2473,2287;
PA 2473,2348;
PA 2494,2348;
PA 2500,2345;
PA 2503,2342;
PA 2506,2336;
PA 2506,2331;
PA 2503,2324;
PA 2500,2321;
PA 2494,2318;
PA 2473,2318;
PU;PA 2561,2328;
PD;PA 2561,2287;
PU;PA 2547,2351;
PD;PA 2532,2307;
PA 2570,2307;
PU;PA 2285,2328;
PD;PA 2249,2328;
PU;PA 2267,2328;
PD;PA 2267,2389;
PA 2261,2380;
PA 2255,2374;
PA 2249,2371;
PU;PA 2337,2368;
PD;PA 2337,2328;
PU;PA 2322,2392;
PD;PA 2307,2348;
PA 2346,2348;
PU;PA 2449,2212;
PD;PA 2143,2212;
PU;PA 2494,2216;
PD;PA 2503,2213;
PA 2506,2211;
PA 2509,2205;
PA 2509,2196;
PA 2506,2191;
PA 2503,2188;
PA 2497,2185;
PA 2473,2185;
PA 2473,2246;
PA 2494,2246;
PA 2500,2243;
PA 2503,2240;
PA 2506,2234;
PA 2506,2229;
PA 2503,2222;
PA 2500,2219;
PA 2494,2216;
PA 2473,2216;
PU;PA 2530,2246;
PD;PA 2567,2246;
PA 2547,2222;
PA 2555,2222;
PA 2561,2219;
PA 2564,2216;
PA 2567,2211;
PA 2567,2196;
PA 2564,2191;
PA 2561,2188;
PA 2555,2185;
PA 2538,2185;
PA 2532,2188;
PA 2530,2191;
PU;PA 2285,2226;
PD;PA 2249,2226;
PU;PA 2267,2226;
PD;PA 2267,2287;
PA 2261,2278;
PA 2255,2272;
PA 2249,2269;
PU;PA 2340,2287;
PD;PA 2310,2287;
PA 2307,2257;
PA 2310,2260;
PA 2316,2263;
PA 2331,2263;
PA 2337,2260;
PA 2340,2257;
PA 2343,2252;
PA 2343,2237;
PA 2340,2232;
PA 2337,2229;
PA 2331,2226;
PA 2316,2226;
PA 2310,2229;
PA 2307,2232;
PU;PA 2449,2110;
PD;PA 2143,2110;
PU;PA 2494,2114;
PD;PA 2503,2111;
PA 2506,2109;
PA 2509,2103;
PA 2509,2094;
PA 2506,2089;
PA 2503,2086;
PA 2497,2083;
PA 2473,2083;
PA 2473,2144;
PA 2494,2144;
PA 2500,2141;
PA 2503,2138;
PA 2506,2132;
PA 2506,2127;
PA 2503,2120;
PA 2500,2117;
PA 2494,2114;
PA 2473,2114;
PU;PA 2532,2138;
PD;PA 2535,2141;
PA 2541,2144;
PA 2555,2144;
PA 2561,2141;
PA 2564,2138;
PA 2567,2132;
PA 2567,2127;
PA 2564,2117;
PA 2530,2083;
PA 2567,2083;
PU;PA 2285,2123;
PD;PA 2249,2123;
PU;PA 2267,2123;
PD;PA 2267,2185;
PA 2261,2176;
PA 2255,2170;
PA 2249,2167;
PU;PA 2337,2185;
PD;PA 2326,2185;
PA 2319,2182;
PA 2316,2179;
PA 2310,2170;
PA 2307,2158;
PA 2307,2135;
PA 2310,2130;
PA 2313,2127;
PA 2319,2123;
PA 2331,2123;
PA 2337,2127;
PA 2340,2130;
PA 2343,2135;
PA 2343,2150;
PA 2340,2155;
PA 2337,2158;
PA 2331,2161;
PA 2319,2161;
PA 2313,2158;
PA 2310,2155;
PA 2307,2150;
PU;PA 2449,2008;
PD;PA 2143,2008;
PU;PA 2494,2012;
PD;PA 2503,2009;
PA 2506,2007;
PA 2509,2001;
PA 2509,1992;
PA 2506,1987;
PA 2503,1984;
PA 2497,1981;
PA 2473,1981;
PA 2473,2042;
PA 2494,2042;
PA 2500,2039;
PA 2503,2036;
PA 2506,2030;
PA 2506,2024;
PA 2503,2018;
PA 2500,2015;
PA 2494,2012;
PA 2473,2012;
PU;PA 2567,1981;
PD;PA 2532,1981;
PU;PA 2550,1981;
PD;PA 2550,2042;
PA 2544,2033;
PA 2538,2028;
PA 2532,2024;
PU;PA 2285,2021;
PD;PA 2249,2021;
PU;PA 2267,2021;
PD;PA 2267,2083;
PA 2261,2073;
PA 2255,2068;
PA 2249,2065;
PU;PA 2305,2083;
PD;PA 2346,2083;
PA 2319,2021;
PU;PA 2449,1906;
PD;PA 2143,1906;
PU;PA 2494,1910;
PD;PA 2503,1907;
PA 2506,1905;
PA 2509,1899;
PA 2509,1890;
PA 2506,1885;
PA 2503,1882;
PA 2497,1879;
PA 2473,1879;
PA 2473,1940;
PA 2494,1940;
PA 2500,1937;
PA 2503,1934;
PA 2506,1928;
PA 2506,1922;
PA 2503,1916;
PA 2500,1913;
PA 2494,1910;
PA 2473,1910;
PU;PA 2547,1940;
PD;PA 2552,1940;
PA 2558,1937;
PA 2561,1934;
PA 2564,1928;
PA 2567,1916;
PA 2567,1902;
PA 2564,1890;
PA 2561,1885;
PA 2558,1882;
PA 2552,1879;
PA 2547,1879;
PA 2541,1882;
PA 2538,1885;
PA 2535,1890;
PA 2532,1902;
PA 2532,1916;
PA 2535,1928;
PA 2538,1934;
PA 2541,1937;
PA 2547,1940;
PU;PA 2285,1919;
PD;PA 2249,1919;
PU;PA 2267,1919;
PD;PA 2267,1981;
PA 2261,1971;
PA 2255,1966;
PA 2249,1963;
PU;PA 2319,1954;
PD;PA 2313,1957;
PA 2310,1960;
PA 2307,1966;
PA 2307,1968;
PA 2310,1974;
PA 2313,1978;
PA 2319,1981;
PA 2331,1981;
PA 2337,1978;
PA 2340,1974;
PA 2343,1968;
PA 2343,1966;
PA 2340,1960;
PA 2337,1957;
PA 2331,1954;
PA 2319,1954;
PA 2313,1951;
PA 2310,1948;
PA 2307,1943;
PA 2307,1931;
PA 2310,1926;
PA 2313,1922;
PA 2319,1919;
PA 2331,1919;
PA 2337,1922;
PA 2340,1926;
PA 2343,1931;
PA 2343,1943;
PA 2340,1948;
PA 2337,1951;
PA 2331,1954;
PU;PA 3296,2773;
CI 30.6123;
PU;PA 3327,2773;
PD;PA 3571,2773;
PU;PA 3189,2752;
PD;PA 3186,2749;
PA 3177,2746;
PA 3170,2746;
PA 3162,2749;
PA 3156,2754;
PA 3153,2760;
PA 3150,2772;
PA 3150,2781;
PA 3153,2793;
PA 3156,2798;
PA 3162,2804;
PA 3170,2807;
PA 3177,2807;
PA 3186,2804;
PA 3189,2801;
PU;PA 3214,2778;
PD;PA 3235,2778;
PU;PA 3244,2746;
PD;PA 3214,2746;
PA 3214,2807;
PA 3244,2807;
PU;PA 3407,2787;
PD;PA 3371,2787;
PU;PA 3390,2787;
PD;PA 3390,2848;
PA 3384,2839;
PA 3378,2834;
PA 3371,2831;
PU;PA 3436,2787;
PD;PA 3448,2787;
PA 3453,2790;
PA 3456,2793;
PA 3462,2801;
PA 3465,2813;
PA 3465,2836;
PA 3462,2842;
PA 3459,2845;
PA 3453,2848;
PA 3442,2848;
PA 3436,2845;
PA 3433,2842;
PA 3430,2836;
PA 3430,2821;
PA 3433,2815;
PA 3436,2813;
PA 3442,2810;
PA 3453,2810;
PA 3459,2813;
PA 3462,2815;
PA 3465,2821;
PU;PA 2589,1827;
PD;PA 2589,1777;
PA 2592,1771;
PA 2595,1768;
PA 2601,1765;
PA 2612,1765;
PA 2618,1768;
PA 2621,1771;
PA 2624,1777;
PA 2624,1827;
PU;PA 2686,1765;
PD;PA 2650,1765;
PU;PA 2668,1765;
PD;PA 2668,1827;
PA 2662,1817;
PA 2656,1812;
PA 2650,1809;
PU;PA 2744,1765;
PD;PA 2708,1765;
PU;PA 2727,1765;
PD;PA 2727,1827;
PA 2720,1817;
PA 2714,1812;
PA 2708,1809;
PU;PA 2552,3067;
PD;PA 2593,3067;
PA 2566,3006;
PU;PA 2642,3047;
PD;PA 2642,3006;
PU;PA 2628,3070;
PD;PA 2612,3027;
PA 2651,3027;
PU;PA 2673,3006;
PD;PA 2673,3067;
PU;PA 2673,3038;
PD;PA 2709,3038;
PU;PA 2709,3006;
PD;PA 2709,3067;
PU;PA 2773,3012;
PD;PA 2770,3009;
PA 2761,3006;
PA 2755,3006;
PA 2747,3009;
PA 2741,3014;
PA 2738,3020;
PA 2735,3033;
PA 2735,3041;
PA 2738,3053;
PA 2741,3058;
PA 2747,3064;
PA 2755,3067;
PA 2761,3067;
PA 2770,3064;
PA 2773,3061;
PU;PA 2796,3061;
PD;PA 2799,3064;
PA 2805,3067;
PA 2819,3067;
PA 2826,3064;
PA 2829,3061;
PA 2832,3055;
PA 2832,3050;
PA 2829,3041;
PA 2794,3006;
PA 2832,3006;
PU;PA 2884,3047;
PD;PA 2884,3006;
PU;PA 2869,3070;
PD;PA 2854,3027;
PA 2893,3027;
PU;PA 2945,3067;
PD;PA 2915,3067;
PA 2912,3038;
PA 2915,3041;
PA 2921,3044;
PA 2936,3044;
PA 2942,3041;
PA 2945,3038;
PA 2948,3033;
PA 2948,3017;
PA 2945,3012;
PA 2942,3009;
PA 2936,3006;
PA 2921,3006;
PA 2915,3009;
PA 2912,3012;
PU;PA 1731,2871;
PD;PA 1778,2871;
PU;PA 1754,2848;
PD;PA 1754,2895;
PU;PA 1836,2909;
PD;PA 1806,2909;
PA 1803,2880;
PA 1806,2883;
PA 1812,2886;
PA 1827,2886;
PA 1833,2883;
PA 1836,2880;
PA 1839,2874;
PA 1839,2859;
PA 1836,2854;
PA 1833,2851;
PA 1827,2848;
PA 1812,2848;
PA 1806,2851;
PA 1803,2854;
PU;PA 1856,2909;
PD;PA 1877,2848;
PA 1897,2909;
PU;PA 1939,2876;
PD;PA 1908,2931;
PA 1693,2931;
PA 1693,2876;
PA 1693,2820;
PA 1908,2820;
PA 1939,2876;
PU;PA 3648,2569;
PD;PA 3699,2620;
PA 3648,2671;
PA 3648,2569;
PU;PA 2118,2645;
PD;PA 2167,2596;
PU;PA 2167,2645;
PD;PA 2118,2596;
PU;PA 2118,2543;
PD;PA 2167,2494;
PU;PA 2167,2543;
PD;PA 2118,2494;
PU;PA 3469,4763;
CI 31.6327;
PU;PA 3439,4763;
PD;PA 3418,4763;
PU;PA 3418,4763;
PD;PA 3316,4763;
PU;PA 3555,4789;
PD;PA 3579,4789;
PU;PA 3566,4748;
PD;PA 3566,4789;
PU;PA 3592,4748;
PD;PA 3592,4789;
PA 3607,4789;
PA 3611,4787;
PA 3612,4785;
PA 3614,4781;
PA 3614,4776;
PA 3612,4771;
PA 3611,4769;
PA 3607,4767;
PA 3592,4767;
PU;PA 3629,4789;
PD;PA 3653,4789;
PA 3640,4773;
PA 3646,4773;
PA 3650,4771;
PA 3652,4769;
PA 3653,4765;
PA 3653,4756;
PA 3652,4752;
PA 3650,4750;
PA 3646,4748;
PA 3634,4748;
PA 3631,4750;
PA 3629,4752;
PU;PA 3441,4838;
PD;PA 3451,4807;
PA 3461,4838;
PU;PA 3471,4819;
PD;PA 3495,4819;
PU;PA 3484,4807;
PD;PA 3484,4831;
PU;PA 8010,7620;
PD;PA 8010,7161;
PU;PA 8112,7161;
PD;PA 8112,7467;
PU;PA 8214,7161;
PD;PA 8214,7467;
PU;PA 8980,6804;
PD;PA 8622,6804;
PU;PA 10510,6498;
PD;PA 10510,6702;
PU;PA 10510,6906;
PD;PA 10510,7263;
PU;PA 10510,7263;
PD;PA 9490,7263;
PU;PA 9490,7263;
PD;PA 9490,6804;
PU;PA 8010,6370;
PD;PA 8010,5988;
PU;PA 8112,5988;
PD;PA 8112,6294;
PU;PA 8214,5988;
PD;PA 8214,6294;
PU;PA 8980,5631;
PD;PA 8622,5631;
PU;PA 10510,5324;
PD;PA 10510,5529;
PU;PA 10510,5733;
PD;PA 10510,6090;
PU;PA 10510,6090;
PD;PA 9490,6090;
PU;PA 9490,6090;
PD;PA 9490,5631;
PU;PA 8010,5197;
PD;PA 8010,4814;
PU;PA 8112,4814;
PD;PA 8112,5120;
PU;PA 8214,4814;
PD;PA 8214,5120;
PU;PA 8980,4457;
PD;PA 8622,4457;
PU;PA 10510,4151;
PD;PA 10510,4355;
PU;PA 10510,4559;
PD;PA 10510,4916;
PU;PA 10510,4916;
PD;PA 9490,4916;
PU;PA 9490,4916;
PD;PA 9490,4457;
PU;PA 8010,3921;
PD;PA 8010,3437;
PU;PA 8112,3437;
PD;PA 8112,3743;
PU;PA 8214,3437;
PD;PA 8214,3743;
PU;PA 8980,3080;
PD;PA 8622,3080;
PU;PA 10510,2773;
PD;PA 10510,2978;
PU;PA 9490,3896;
PD;PA 9490,3080;
PU;PA 9490,3896;
PD;PA 11148,3896;
PU;PA 6327,6345;
PD;PA 6327,4763;
PU;PA 6327,5937;
PD;PA 7347,5937;
PU;PA 6378,3947;
PD;PA 6378,3386;
PU;PA 6378,3386;
PD;PA 7398,3386;
PU;PA 7245,7467;
PD;PA 6939,7467;
PU;PA 8878,7620;
PD;PA 8878,3590;
PU;PA 8878,3590;
PD;PA 8725,3590;
PU;PA 8725,4967;
PD;PA 8878,4967;
PU;PA 8878,4967;
CI 20.4082;
PU;PA 8725,6141;
PD;PA 8878,6141;
PU;PA 8878,6141;
CI 20.4082;
PU;PA 8725,7314;
PD;PA 8878,7314;
PU;PA 8878,7314;
CI 20.4082;
PU;PA 6327,6549;
PD;PA 6122,6549;
PU;PA 6122,7263;
PD;PA 6122,4151;
PU;PA 6122,4151;
PD;PA 6378,4151;
PU;PA 7347,6447;
PD;PA 8010,6447;
PU;PA 7398,4049;
PD;PA 8010,4049;
PU;PA 8010,4049;
PD;PA 8010,4100;
PU;PA 6378,7620;
PD;PA 8878,7620;
PU;PA 6122,6549;
CI 20.4082;
PU;PA 6429,7825;
PD;PA 6429,7467;
PU;PA 6429,7620;
CI 20.4082;
PU;PA 6939,7467;
PD;PA 6939,7263;
PU;PA 6939,7263;
PD;PA 6122,7263;
PU;PA 1071,7059;
PD;PA 765,7059;
PU;PA 1071,6957;
PD;PA 765,6957;
PU;PA 1071,6855;
PD;PA 1020,6855;
PU;PA 561,7825;
PD;PA 6429,7825;
PU;PA 1684,7314;
PD;PA 1684,7825;
PU;PA 1684,7825;
CI 20.4082;
PU;PA 1531,7825;
PD;PA 1531,7314;
PU;PA 2194,7008;
PD;PA 2347,7008;
PU;PA 2347,7671;
PD;PA 2347,7212;
PU;PA 1837,7671;
PD;PA 1684,7671;
PU;PA 1684,7671;
CI 20.4082;
PU;PA 2857,7671;
PD;PA 2347,7671;
PU;PA 3724,7671;
PD;PA 3724,7212;
PU;PA 3571,7671;
PD;PA 4235,7671;
PU;PA 4745,7671;
PD;PA 4745,7110;
PU;PA 3724,7671;
CI 20.4082;
PU;PA 3367,7110;
CI 20.4082;
PU;PA 3367,7671;
PD;PA 3367,6906;
PU;PA 3367,7008;
PD;PA 3724,7008;
PU;PA 1684,6396;
PD;PA 1684,6294;
PU;PA 1531,7825;
CI 20.4082;
PU;PA 1071,6651;
PD;PA 1071,6294;
PU;PA 1071,6294;
CI 20.4082;
PU;PA 1582,6039;
PD;PA 1582,5529;
PU;PA 561,6039;
PD;PA 1071,6039;
PU;PA 561,6039;
CI 20.4082;
PU;PA 1582,5529;
PD;PA 1735,5529;
PU;PA 561,5427;
PD;PA 561,5069;
PU;PA 561,5069;
PD;PA 2602,5069;
PU;PA 2194,6702;
PD;PA 2194,5069;
PU;PA 2194,5069;
CI 20.4082;
PU;PA 2602,5069;
PD;PA 2602,5376;
PU;PA 2602,5376;
PD;PA 2857,5376;
PU;PA 2857,5580;
PD;PA 2602,5580;
PU;PA 2602,5580;
PD;PA 2602,6141;
PU;PA 4184,6141;
PD;PA 4184,5682;
PU;PA 4184,5273;
PD;PA 4184,5120;
PU;PA 4184,5120;
PD;PA 4694,5120;
PU;PA 2602,6141;
PD;PA 4184,6141;
PU;PA 3265,5069;
PD;PA 3112,5069;
PU;PA 3112,5988;
PD;PA 3265,5988;
PU;PA 3265,5988;
PD;PA 3265,5886;
PU;PA 1071,4100;
PD;PA 765,4100;
PU;PA 1071,3998;
PD;PA 918,3998;
PU;PA 2194,4100;
PD;PA 2347,4100;
PU;PA 1837,3539;
PD;PA 2347,3539;
PU;PA 2347,3539;
PD;PA 2347,4100;
PU;PA 1429,3539;
PD;PA 1071,3539;
PU;PA 1071,3539;
PD;PA 1071,3896;
PU;PA 4694,6141;
PD;PA 5663,6141;
PU;PA 5663,6141;
PD;PA 5663,7825;
PU;PA 5663,7825;
CI 20.4082;
PU;PA 2908,4100;
PD;PA 3929,4100;
PU;PA 2602,4406;
PD;PA 2602,4610;
PU;PA 3112,4610;
PD;PA 3393,4610;
PU;PA 4643,3794;
PD;PA 5000,3794;
PU;PA 4643,3998;
PD;PA 4847,3998;
PU;PA 4847,3998;
PD;PA 4847,4202;
PU;PA 4847,4202;
PD;PA 5000,4202;
PU;PA 3929,3794;
PD;PA 3673,3794;
PU;PA 3163,3794;
PD;PA 3163,3947;
PU;PA 3163,3947;
PD;PA 3316,3947;
PU;PA 2908,4100;
PD;PA 2908,3998;
PU;PA 2908,3998;
PD;PA 2194,3998;
PU;PA 2602,3998;
CI 20.4082;
PU;PA 1378,2314;
PD;PA 2143,2314;
PU;PA 3878,2314;
PD;PA 3571,2314;
PU;PA 3571,2212;
PD;PA 3827,2212;
PU;PA 3827,2212;
PD;PA 3827,2110;
PU;PA 3571,2110;
PD;PA 3929,2110;
PU;PA 3571,2008;
PD;PA 3827,2008;
PU;PA 3827,2008;
PD;PA 3827,1906;
PU;PA 3571,1906;
PD;PA 3929,1906;
PU;PA 3827,2110;
CI 20.4082;
PU;PA 3827,1906;
CI 20.4082;
PU;PA 2143,2212;
PD;PA 1786,2212;
PU;PA 1786,2212;
PD;PA 1786,2110;
PU;PA 1633,2110;
PD;PA 2143,2110;
PU;PA 2143,2008;
PD;PA 1786,2008;
PU;PA 1786,2008;
PD;PA 1786,1651;
PU;PA 1633,1906;
PD;PA 2143,1906;
PU;PA 1786,2110;
CI 20.4082;
PU;PA 1786,1906;
CI 20.4082;
PU;PA 816,4100;
CI 20.4082;
PU;PA 3878,2416;
PD;PA 3571,2416;
PU;PA 867,1447;
PD;PA 969,1447;
PU;PA 8010,7620;
CI 20.4082;
PU;PA 8010,6370;
PD;PA 8878,6370;
PU;PA 8878,6370;
CI 20.4082;
PU;PA 8010,5197;
PD;PA 8878,5197;
PU;PA 8878,5197;
CI 20.4082;
PU;PA 8010,3921;
PD;PA 8878,3921;
PU;PA 8878,3921;
CI 20.4082;
PU;PA 6786,3641;
PD;PA 6684,3641;
PU;PA 10204,3488;
PD;PA 10102,3488;
PU;PA 6658,4457;
PD;PA 6786,4457;
PU;PA 3367,7008;
CI 20.4082;
PU;LI 2;
PA 485,4942;
PD;PA 5842,4942;
PU;LI;
LI 2;
PA 5842,4942;
PD;PA 5842,7901;
PU;LI;
LI 2;
PA 5842,7901;
PD;PA 485,7901;
PU;LI;
LI 2;
PA 485,7901;
PD;PA 485,4942;
PU;LI;
PA 1071,6294;
PD;PA 1684,6294;
PU;PA 561,6294;
PD;PA 561,5631;
PU;PA 1071,6651;
PD;PA 561,6651;
PU;PA 561,6651;
PD;PA 561,7825;
PU;PA 11148,3896;
PD;PA 11148,3182;
PU;PA 11148,3182;
PD;PA 10510,3182;
PU;PA 10102,2671;
PD;PA 10102,2518;
PU;PA 10102,2518;
CI 20.4082;
PU;PA 8725,4457;
CI 20.4082;
PU;PA 8725,3080;
CI 20.4082;
PU;PA 8725,5631;
CI 20.4082;
PU;PA 8725,6804;
CI 20.4082;
PU;PA 7347,5937;
PD;PA 7347,6447;
PU;PA 6327,4763;
PD;PA 5918,4763;
PU;PA 5918,4763;
PD;PA 5918,2467;
PU;PA 5918,2467;
PD;PA 8010,2467;
PU;PA 8010,2467;
PD;PA 8010,2722;
PU;PA 6327,5937;
CI 20.4082;
PU;PA 7398,3386;
PD;PA 7398,5273;
PU;PA 7398,5273;
PD;PA 8010,5273;
PU;PA 7398,4049;
CI 20.4082;
PU;PA 2296,6702;
PD;PA 2194,6702;
PU;PA 2194,6702;
CI 20.4082;
PU;PA 10102,3488;
CI 20.4082;
PU;PA 7041,7467;
CI 20.4082;
PU;PA 3571,2876;
PD;PA 3673,2876;
PU;PA 3622,2876;
PD;PA 3622,2773;
PU;PA 3622,2773;
PD;PA 3571,2773;
PU;PA 3622,2876;
CI 20.4082;
PU;PA 2143,2773;
PD;PA 2066,2773;
PU;PA 2066,2773;
PD;PA 2066,2876;
PU;PA 1939,2876;
PD;PA 2143,2876;
PU;PA 2066,2876;
CI 20.4082;
PU;PA 3571,2620;
PD;PA 3648,2620;
PU;PA 3648,2620;
PD;PA 3648,2518;
PU;PA 3648,2518;
PD;PA 3571,2518;
PU;PA 3316,4763;
PD;PA 3316,4610;
PU;PA 3316,4610;
CI 20.4082;
PU;PA 3648,4355;
CI 31.6327;
PU;PA 3617,4355;
PD;PA 3597,4355;
PU;PA 3597,4355;
PD;PA 3495,4355;
PU;PA 3734,4381;
PD;PA 3757,4381;
PU;PA 3745,4340;
PD;PA 3745,4381;
PU;PA 3770,4340;
PD;PA 3770,4381;
PA 3786,4381;
PA 3790,4379;
PA 3791,4377;
PA 3793,4372;
PA 3793,4367;
PA 3791,4363;
PA 3790,4361;
PA 3786,4359;
PA 3770,4359;
PU;PA 3829,4367;
PD;PA 3829,4340;
PU;PA 3818,4383;
PD;PA 3809,4353;
PA 3834,4353;
PU;PA 3619,4430;
PD;PA 3630,4399;
PA 3640,4430;
PU;PA 3650,4411;
PD;PA 3673,4411;
PU;PA 3337,4389;
PD;PA 3357,4328;
PA 3378,4389;
PU;PA 3397,4351;
PD;PA 3444,4351;
PU;PA 3495,4355;
PD;PA 3464,4410;
PA 3307,4410;
PA 3307,4355;
PA 3307,4300;
PA 3464,4300;
PA 3495,4355;
PU;PU;PA;SP0;
| Gnuplot | 1 | mkszuba/pslab-hardware | schematics/IO-I-O Processing.plt | [
"Apache-2.0"
] |
--TEST--
JIT INC: 022
--INI--
opcache.enable=1
opcache.enable_cli=1
opcache.file_update_protection=0
opcache.jit_buffer_size=1M
opcache.protect_memory=1
;opcache.jit_debug=257
--EXTENSIONS--
opcache
--FILE--
<?php
function inc($x) {
return ++$x;
}
function dec($x) {
return --$x;
}
var_dump(inc("abc"));
var_dump(inc("5"));
var_dump(inc(1.1));
var_dump(dec("5"));
var_dump(dec(1.1));
?>
--EXPECT--
string(3) "abd"
int(6)
float(2.1)
int(4)
float(0.10000000000000009)
| PHP | 3 | NathanFreeman/php-src | ext/opcache/tests/jit/inc_022.phpt | [
"PHP-3.01"
] |
= Autologin after password reset
When the user resets their password, by default they are not automatically
logged in. You can change this behaviour and login the user automatically
after password reset.
plugin :rodauth do
enable :login, :logout, :reset_password
reset_password_autologin? true
end
Similarly, when the verify login change feature is used, the user is not
automatically logged in after verifying the login change. You can configure
Rodauth to automatically log the user in in this case:
plugin :rodauth do
enable :login, :logout, :verify_login_change
verify_login_change_autologin? true
end
| RDoc | 4 | dmitryzuev/rodauth | doc/guides/reset_password_autologin.rdoc | [
"MIT"
] |
sub main()
createObject("roSGNode", "BrsMockComponents_Testbed")
end sub
| Brightscript | 3 | lkipke/brs | test/e2e/resources/components/mocks/components/main.brs | [
"MIT"
] |
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "didi_dataset.ipynb",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "code",
"metadata": {
"id": "dQSpAJrtrtzk",
"colab_type": "code",
"colab": {}
},
"source": [
"# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# http://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License."
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "yrLSCC0io2df",
"colab_type": "text"
},
"source": [
"This colab notebook demonstrates how to read and visualize the data in the Didi dataset: Digital Ink Diagram data.\n",
"\n",
"More information about this data is available at\n",
"* https://github.com/google-research/google-research/tree/master/didi_dataset\n",
"* [The Didi dataset: Digital Ink Diagram data](https://arxiv.org/abs/2002.09303). P. Gervais, T. Deselaers, E. Aksan, O. Hilliges, 2020.\n",
"\n",
"The colab demonstrates how to:\n",
"\n",
"1. display the data along with the prompt images.\n",
"1. convert the data to a sharded `TFRecord` file of `TFExample`s."
]
},
{
"cell_type": "code",
"metadata": {
"id": "-Aa_RzeVokI_",
"colab_type": "code",
"colab": {}
},
"source": [
"from __future__ import division\n",
"\n",
"import collections\n",
"import contextlib\n",
"import io\n",
"import json\n",
"import os\n",
"import random\n",
"import statistics\n",
"\n",
"from googleapiclient.discovery import build\n",
"from google.colab import auth\n",
"from google.colab import files\n",
"from googleapiclient.http import MediaIoBaseDownload\n",
"from apiclient import errors\n",
"\n",
"%tensorflow_version 2.x\n",
"import tensorflow as tf\n",
"\n",
"import numpy as np\n",
"from matplotlib import pylab\n",
"from IPython.display import Image, display"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "8KwkQwSYqI30",
"colab_type": "code",
"colab": {}
},
"source": [
"# Setup and settings.\n",
"\n",
"# Settings\n",
"JSON_FILES=[\"diagrams_wo_text_20200131.ndjson\", \"diagrams_20200131.ndjson\"]\n",
"PROJECT_ID = \"digital-ink-diagram-data\"\n",
"BUCKET_NAME = \"digital_ink_diagram_data\"\n",
"LOCAL_DATA_DIR = \"/tmp\"\n",
"NUM_TFRECORD_SHARDS = 1\n",
"\n",
"auth.authenticate_user()\n",
"\n",
"# Creating the service client.\n",
"gcs_service = build(\"storage\", \"v1\")"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "laODh1c5IpUW",
"colab_type": "code",
"outputId": "552df276-38ee-4774-bb5c-7ecfcf9da2c8",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 357
}
},
"source": [
"# Download the data\n",
"def download_file_from_gcs(filename):\n",
" directory_name = os.path.join(LOCAL_DATA_DIR, os.path.dirname(filename))\n",
" if not os.path.exists(directory_name):\n",
" os.mkdir(directory_name)\n",
" with open(os.path.join(LOCAL_DATA_DIR, filename), \"wb\") as f:\n",
" request = gcs_service.objects().get_media(bucket=BUCKET_NAME, object=filename)\n",
" media = MediaIoBaseDownload(f, request)\n",
"\n",
" done = False\n",
" while not done:\n",
" status, done = media.next_chunk()\n",
" if not done:\n",
" print(\"Downloading '%s': %-3.0f%%\" % (filename, status.progress() * 100))\n",
"\n",
"def get_label_file(type, labelid):\n",
" file_id = os.path.join(type, \"%s.%s\" % (labelid, type))\n",
" fname = os.path.join(LOCAL_DATA_DIR, file_id)\n",
" if os.path.exists(fname):\n",
" return fname\n",
" download_file_from_gcs(file_id)\n",
" return fname\n",
"\n",
"for json_file in JSON_FILES:\n",
" download_file_from_gcs(json_file)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Downloading 'diagrams_wo_text_20200131.ndjson': 10 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 20 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 30 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 40 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 50 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 60 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 71 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 81 %\n",
"Downloading 'diagrams_wo_text_20200131.ndjson': 91 %\n",
"Downloading 'diagrams_20200131.ndjson': 9 %\n",
"Downloading 'diagrams_20200131.ndjson': 17 %\n",
"Downloading 'diagrams_20200131.ndjson': 26 %\n",
"Downloading 'diagrams_20200131.ndjson': 34 %\n",
"Downloading 'diagrams_20200131.ndjson': 43 %\n",
"Downloading 'diagrams_20200131.ndjson': 51 %\n",
"Downloading 'diagrams_20200131.ndjson': 60 %\n",
"Downloading 'diagrams_20200131.ndjson': 69 %\n",
"Downloading 'diagrams_20200131.ndjson': 77 %\n",
"Downloading 'diagrams_20200131.ndjson': 86 %\n",
"Downloading 'diagrams_20200131.ndjson': 94 %\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "LsU_07x4wx8-",
"colab_type": "code",
"outputId": "407b27b7-a31a-40ac-9247-cd0fe0937e7e",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"# Displays prompt images with drawing overlaid.\n",
"def PrepareDrawing():\n",
" pylab.clf()\n",
" pylab.axes().set_aspect(\"equal\")\n",
" pylab.gca().yaxis.set_visible(False)\n",
" pylab.gca().xaxis.set_visible(False)\n",
"\n",
"def display_image(ink):\n",
" im = pylab.imread(os.path.join(LOCAL_DATA_DIR, \"png\", ink[\"label_id\"] + \".png\"))\n",
" # Compute scaling of the image.\n",
" guide_width = ink[\"writing_guide\"][\"width\"]\n",
" guide_height = ink[\"writing_guide\"][\"height\"]\n",
" im_height, im_width, _ = im.shape\n",
" scale=min(guide_width / im_width, guide_height / im_height)\n",
" offset_x = (guide_width - scale * im_width) / 2\n",
" offset_y = (guide_height - scale * im_height) / 2\n",
" pylab.imshow(im, origin=\"upper\",\n",
" extent=(offset_x, offset_x + scale * im_width,\n",
" offset_y + scale * im_height, offset_y),\n",
" aspect=\"equal\")\n",
"\n",
"def display_strokes(ink):\n",
" for s in ink[\"drawing\"]:\n",
" pylab.plot(s[0], [y for y in s[1]], color=\"red\")\n",
"\n",
"def display_ink(ink):\n",
" # Fetch the corresponding PNG image.\n",
" get_label_file(\"png\", ink[\"label_id\"])\n",
" # Draw image, overlay strokes.\n",
" PrepareDrawing()\n",
" display_image(ink)\n",
" display_strokes(ink)\n",
" pylab.show()\n",
"\n",
"for json_file in JSON_FILES:\n",
" count = 0\n",
" with open(os.path.join(LOCAL_DATA_DIR, json_file)) as f:\n",
" for line in f:\n",
" ink = json.loads(line)\n",
" display_ink(ink)\n",
"\n",
" count += 1\n",
" if count == 10:\n",
" break"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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tCs327WhRvfrjG73+OlCrFlDS/GwBoEkT4I8/gEuXYDJ7NkavWYNRWi0CTpzA4CZNsPzo\nUTjrMybkkYiICPz555/Ytm0bdu3ahbi4ONSsWRNvvPEG/P390axZs7zNPCOBw4eFP/CGDWKQyN8f\nmDoVaNbs8W0vXQJ69BCeJqtWiUElPQkJWSEXJTkTFSVcGw2EFGBJgUlNTcWOunUx5N49xLz2GuzX\nrBGvvTlREsU3O7VqAStXQvm//4Mydy76//wz+v33H3b5+KDVkSOw8nly/t7jXLp0SfjmBgYiKCgI\npqamaNGiBf7v//4PvXr1gsczJpo8RUIC8OuvwKJFQljt7YGxY4H//Q+oWvXp7f/5RwizqSnw559Z\nKXb0WFo+Ps320SPg2jXhXxwSgqlxcWiwcCHCli+HeUwMTJKToU5Lgzo1Far09MzdqCjC5S/jM9Vq\naE1NM0u6mRnSzc1zLxYWOX6flvF9mqXl4w+OokKnQ++ICFx9+BAXc/GKSU5OzleVCvOR/8nX15cn\nT57M1wEkpZ+fWrbEqCNHENG3L1zWrcu8+coE4eGI/uQTWPz8MxSVCpqvvoLqvfcyY+omJyfj6NGj\nCAwMxObNm3H37l24uLigS5cu6NGjB7p06QIbG5v8HfP+fdGX/vPPQGws0KgRMGaMeMOwtHx6+9RU\nYNw44JdfgHLlRL92Tn3IvXoBW7cCzZsDd+6IPuJs+pCuKAglEQLgPoBYAI8ySmrGNkoOxQSARUax\nzChWAGwAWD9R8ko0gKhsy6g8/B2dYeuLYp9Rx7sQMwdzQqVS4ffff0ffvn0f+15RlFMkfZ/cXgqw\npEAEzJ+Pzu++C13NmnA4dy4rq0IZ4+zWrbjz6qvoSSK1WTNsHjgQGw8cwM6dOxEfH4+aNWuiR48e\n8Pf3R/PmzV8sQltICPD118CSJSLWQ58+wIQJYrrx8+rr3Bnw9AS+/DL3QaSYGOCjj4DTp4EqVYBq\n1YRQV68ufLD105wLC51ODB4mJDxd4uPFMi5O2BkVJUp0dNZn/d/P8tM1NxfnUrXq0+Wll8TbQW7c\nuye6bn76CRg5Ml+nJgVYYnBu3bqFE9Wr4zUSmqtXxU1bhpk7Zw7+/fBDLNJqcUtRMLtDBzTr2xfd\nu3dH+fLln19BbgQHA7NnA0uXCnF56y3gww/zd711OuO8thc1pBDrnAQ6OhqIjBTX8/p10b2SvctF\npRLxNHIS5woVgLNngbZtRZfPmDH5MksKsMTgjOneHQt37AA/+ADq2bONbY7R0el0aNOmDWqEheGn\n+/ehuLkBBw68uGvXhQvAvHnChQwQwvvRR6KlJik4pJjefv16ziUq6ul9bG2B//4D3NyeXvcMpABL\nDEpQUBD+atYM0xUFyu3bouUgwfHjx+Hn54eDs2ah5eefixs1PyKs1QLbtonAQXv2iD7dd94B3n9f\nXuOiJioKuHFDiPH9+8L7oWPHF3qg5ibAZbPDTlJg5s+bhwWmplDatpXCkI0mTZqgZ8+e+HjbNhza\ntUv0vbZtCxw79rTXQXZCQoDVq8XA2o0b4ib/4gsRaMeAbk+SfODoKErjxoV2iDLQKSQxNJGRkQjf\nuhXuqanA228b25xix8iRI3H48GFccXAQ7l7BwUDfvk8H8r55U3gztGwpBnemThVeCgEBIkDQRx9J\n8S3lyBawJN9s3LgRnQBQpYLSubOxzSleJCejk5MTeri44Oi8efAZOVIMmM2cCXTrBnToAFy8KFrE\nN2+KferWBaZPBwYOFJ4HkjKD7AOW5JtBgwbhw8BA1KxRAwgKMrY5xYOkJOCrr4C5c7MCpOdGxYpA\nw4ZA+/ZiYoSX17O3l5R4ZB+wxGCcO3YMPnFxojUnEWzaJALfDBgA9OqF7QcOYPmyZVj/++9QKYrw\nL500CQgPF6PoZT27sASAFGDJC2AfHAwVCfg+9UAvuwwYICYsvPwyAMDCwQGbFi5EdPPmcNJPfFi0\nSAzIBQQIlzJJmUcOwknyRWxsLCrp5/0/LyRiWUKlyhRfAJmi+zB7GqXWrcUstMOHi9o6STFFCrAk\nXyQlJcFF/0c+ndHLEtYZUcUSExOzvlQUIcDZZ19JyjRSgCX5wtHRERr9H4UQiLy0EBkZCUBcr0we\nPRIuafmJeCYp1UgBluQLMzMzmOgDljzp1yrJJCIiAgAejxG8d68Q4XbtjGSVpLghBViSbyz02Ykz\nWnmSpzl9+jQ8PT0zuyIAiIDpbm7Se0SSiRRgSb5xqV9ffAgONq4hxZigoCD4+fllfbF3L7B9uwiY\n/qyQh5IyhRRgSb6p1qMHACDyyBEjW1I8iYmJwYEDB9C+fXvxRUQEMGyYCB/5/vvGNU5SrJACLMk3\nrQcORKRKheCNG41tSrFkzZo1UKlUIitCairQuzfw4IEIK2lubmzzJMUIKcCSfGOi0eB+1apwuXAB\niQkJxjanWJGeno6FCxeiX79+sLWxAUaPFn6/ixY95icskQByJpwEwN27d7F+/XpYW1vDxsYGFhYW\nsLa2hp2dHSwsLGBpaQkHBwdYWlrCLMP1rNLYsbAdPx7LJ03C0CVLjHwGxYdly5bhxo0bCNy6VUQ3\nW75crJg7Fxg61LjGSYodMhhPWYUUgXSCgvDv9u24sH8/HBQFFiRMAZhlFEuIZIqmEAkWHwDYrNFg\nuZ0dzj18iKWKgu43buAlmaUBERERqFu3Lny8vbHE2hrVtm8HevYEtmwRmRRiY41tosRIyGA8kqfJ\n6Jv0trODAiCaRBKAeIgstykAEgEkIyvrbU0AU9LSEPTwIQIBvA6gR9++OBQUBI1Gk8NBygYkMWzY\nMJiamODd69dRLSQE36tU8Dp5Et0BhKxciRdMTFR2+PdfwM4OcHAoM8GKCiTAjx49wo4dO6B9VhbS\nsgYJk+RkQFGQnvEjcnd3R8uWLY1s2BMoimiZVa4MlZsbPqhWDTWuX8ec5+zmDpGSvLaFBTynTIHz\nzJloeOECpkyZgm+++aYIDC+efP311/hz+3bc7doVbtu2IXncOLi3aAH7qVMRoyho9dprgJcX/P39\n0aNHD7Ru3bpMP7D0nDlzBtevXwcA9BwyBKYZU7e1Gg1Sra2RamUFrZkZ0iwtkW5uDp2JCdLNzKA1\nNYXW1BQ6ExMRl5qEotVClZ4OdVoa1CkpmZ9BQqXVQpWWBnVqKqAoiKtQAXfbtkXDCRNgY2MDhIYC\nn34qjHrrLaBZs6K5ACTzXBo1asTsbNywgTsBjgaIMlhMAFYB2AfglwB3AgwXL/ckwL8AmgE0MTFh\ncWdXu3YkwKrPOed3FIUEGLF1K6nTkU2bMtHBgXaKwjlz5hj7NIzCL7/8QguAVxs2FP/7adPEtSHJ\nEyeoc3RkuoUF9zVtyperVycAOjo6sm/fvly5ciWjo6ONewJFRWIiuXt3xsdETpgwgSqVKvO39SrA\nkQCnApwN8GeA6wHuAHgE4FmAlwHezrjPEgCmAkzLKMkAYwGGAbwF8ArAcwBPAzyZUcdfAPcDjAQ4\nFKCnpyeP/PoraWdHmpuLpUpFfvONQU8dwEnmoKkFEuCdX3+dKTY8eNCgBhud9HTy7l3y2DFy3Tpy\n3jxy4kSyd2/y5ZfJcuXIDDEiQGo0ZP365NCh5Jw55IcfkgAv9epF8Zwrnty5eZPbR43iDQsLxgC0\ny+1hY2JCtUrF+25u1NWqlSUwf/9NqlS89PLLVBSF3333nXFPqIhZs2YNX1Krec/dXfweZs16eqMb\nN8j+/cV6R0dGTJvGBfPmsUOHDtRoNFSr1WzevDlnzZrFS5cuFf1JFAXnzpE+PqSZGf/ZsoXe3t60\ns7Pj4sWLjWOPTsewe/fYu3dvKgADGzZk/JkzZFwc2auXuKfnzzfY4QpFgA+//76owseHvH3bYMYa\nFK2WjIkR9p0+Te7ZQwYEkD/9RH75Jfn++0I0X32VbNWKrF2bLF+eVKuzxFVfrK3JGjXITp3Id94h\nZ84kly8nT50iHz16+tht2jDSy6tYCbBWq2VQUBC/HTGCy11ceCvj3MIsLPi6pWWO4qvRaOjl5cVr\nixaJ67B8+eOVfvIJCXBHnz5UFIVTpkyhTqejTi/SpZA5c+Zwzpw5bA0wztKSOltbMjDw2TudOUN2\n6CCuoZ8fefMmIyMjGRAQwEGDBtHBwYEA6OXlxfHjx3P37t1MSUl5cSPT08mbN198f0Nx7x7p5kZd\nuXL8uX9/qtVqdunShXfv3jW2ZSTJgIAAOjs7s3Llyty9ezeZlka+9pp4YO7aZZBj5CbABfKC+Hv8\neDT9/nvgypVnx4ZNSRF5sG7fFhkB4uPFdykpQHq66I9UqbKWgEjPrS/p6Tl/fvLvpCQgLk6U2Fgg\nJkYc61nnaGEhEh86OWVlQXV0BFxdRbZfD4+sYmcnbMwrr76KmDNn4BAcjPxcZ0OTlJSEvXv3Yv+G\nDbD54w90j4vDywC0ioLIBg3gMGkSNP36YejIkVi9ejXSngiyM3DgQPz044+wbtcuK6ND9kho6elA\n167AwYPYNWUKXpk9G127dgUg3LIyA5KXAhISEjB27FisWbUKHwGYAUBVrZroT/fxeX4FJPD778I/\nmAR++gl44w0AgFarRVBQELZt24Y9e/bg1KlTsLKyQtu2bdGjRw/07NkTbvkJAbp8uUhpf+CAiEVs\nDLRaoG1baE+exCtubjgaHY3Zs2djxIgRxrEnF8LDwzFmzBhs2rQJw4cPx9xPP4VNx45AWBhw7pxI\nlloAcvOCKFALOGjcOPE0//ffpyX//n3yxx/Jjh3F6/mTrUlA9LWYmor1Jibib/1rvVot1llakjY2\npL096eREurmJFqqHB/nSS2TVqqS3N1mzJunrS7ZrJ55eb71FTphATp8uug+WLiU3bxZdJRcukCEh\nZFKSQZ5uudKyJcNq1jRKC/jWrVtcvHgxX+valX1NTLgeYErGtU3w8aFuzhzywYPH9tm0aRMVRcns\ncrC0tOTq1avFyp07c2796omKIqtXJ+3seGrFCnp4eGSW/fv3F+7JFhGnTp2it7c3azk4MKJuXXE9\n3nxTvLbml1u3RCsYIF9/nYyIeGqTGzducPHixfT396epqSnVajUbNWrEGTNm8OTJk88/hv6NZcCA\n/NtnIFInTiQBDlKUYtXqzY3sreGjS5eSFhZkmzaiVVwAUBhdEPunTRNVZL/BgoPJ4cOzXuGrVSPf\ne0+89p85Q4aGis74Ap5QicDLi3f8/IpEgLVaLU+ePMkZM2awUcOGbArwF7WaCSYmJMB0Z2dy3Djy\n/Plc64iPj6dGoyEANm7cmLdu3cpa2bat6Pd+1ivx7dtkhQqkszNjdu5kZGQkX331VSqKwrfffpth\nYWGGO+EiJCYmhuPHj6eJSsV51apRa2srGgYrVmT1hb8IaWnkZ5+JBoizs2iw5HJfJCQkcOvWrRwx\nYgTd3d0JgC+99BJHjBjBrVu35txVER0t7sF33nlqVXBwML29vbl27doXt/853MxooC02NTVeX+8L\nEBYWJvqGFYXL2rQR13Do0AL9rwtFgHd8+62oYtUq8cW8eaSZmWi5jhtHXrxYsB9oSSY2lgR4vn//\nQhPgx25KNzfWA7jA3p737exIgDorK/EmsGtXnh947733HqdPn8607Nv/9Zf4Py9Y8PwK/vuPrFJF\njChv2kSS3LBhAz08POjg4MBZs2YxPj7+Bc626ElOTuZ3331Hd3d3tnZwYFiVKuI6tGtHXr1quANd\nuEC2bCnqrlqVXLIk5zGFDNLT07Meto0aEQCtrKzo7+/PxYsXMzQ0NGvjnj1JFxfxhpKN+fPnZ77t\nDB482KD/k6SkJG7s3JkEeMjNjXeL6/jQc9C3hhdk3E8cNUqMKb0AuQlwgWJBJLq6Ig0QfcAAULmy\nSE7433/Ad98BtWrlr8+0NHHhAgAgpnLlwjsGCZs7d/DKiRMIevgQZwGMjYlBjJUVzo0di9Tbt4Ff\nfgE6dQJMXtDle+JEsf9LLwEjRz5/+2rVxAy7evXERI958wCd7sWObWxIlL92Dcuio7EvOhq2YWHg\nypXAnj0iAaehqF0bOHhQ9CPb2QEjRojrPWuWiKRWEKZPB6KjxYy8DH/bwka9ZAl67dqFHQBm16sH\nqNVFctzC4hs7O9zu10/01/fpI8aYDEVOqpxbebIFvG7dOl4ChAeB5HFWrCABbl+wwKAt4Js3bnD9\ntGn8vWpVXsnoS08HeN3Li7c++eSpft0C8/bb4um/c2f+9ktMzHLnad+eiefPc9q0abS1taWzszO/\n/PJLRuTQ71kciLl3j3v79hHYxj8AACAASURBVOXljO6bRDMzJr33HhkZWfgH1+nEG4feW0KjIfv1\nE9c/PT3HXfT9/f7+/jQzM6NKpXqsr1j3669iHAUQLpTvvsu51aqxraLQJcPLpWLFigwKCiqw+dcz\nPKP+NDHh0oULC1yfscnsjgC4zs+POrVavOHl81qhMLog1q1bx/X6fl7J43z8MalWM2DNmgIJcHp6\nOk+eOMElw4ZxhZsb/8smuve8vRkza5YY8CwswsLIvXtfbF+dTrxOW1uLbqn33mPUhQv85JNPaG9v\nTzMzMw4YMID79++n9gVf7QyGVssLy5Zxd61ajMm4xsEuLoyeN088TIzBpUvk+PGko6O4VStVEpM8\nzpzJtWsvMTExs1uqXLlyBMDKlStz8sCB/HfgQGr9/KgzN39sMDwE4EpFYU+VijOnT6dWq833/yMp\nKYkB3bqRAP92ceHdGzcMcQWKDfruiD5ubkxydRVjXNOmkampedq/0AR4pt6bITnZEOdZenj9ddLL\ni+vWrcu3AEdFRXHjr7/yuy5duNzCgnf1oqsoDK9fn2kLFwphLCmEhJCDB4vfiYkJOWgQk3fs4PLF\ni9m4cWMCoLu7O0ePHs3du3czuYh+S6nR0bz4xRcMql2b4SoVCTBVUXjF15fxf/1VfMYvHj0Sg9id\nOmV5CXl4kCNHktu25erNo9VqeezYMX744YesW7cuAdDa2pqdOnRgZYAdAU4A+FvGzDBCzBzr5efH\nNm3aMCQkJE/mHT16lNPd3EiAd2vUKLVaoG8N2wE8Wr26+D80bCjGup5DoQlwH/2T9NQpQ51n6cDX\nl+zU6fkCnDHjLuT337m7f39u8vDgMUVhSsZ1TdVoGNu+PfnLL0XzClyY3LghXAOtrcVvxs6O7N+f\nIdOn86cxY9iwXj0CoJmZGVu2bMmPP/6Ymzdv5vXr1wvcQtZptby7fz9PffABj/r58Yy9PZMzrnGc\nSsXzNWrw1mefkQ8fGuhkC4mwMOFS+eqrpJWVuI5WVuLvpUuFl1Eu3L59m4sWLaKvr2+mt4u+mAB8\nHWJ67wFFoUajob29Pbdt25ZrfUlJSZwyZQr/l/FQSGrfvtSKb3b0reHhLi5MsbcXjgfffPPMB3Zu\nAlygiRgBAQGY0r8/bgGigzovgzRlBTc3oGdPBHTogP79+yP7ddZqtfj74EFU/O03lFu1CqbZJj48\nUqsR5+UF227dYN6tG9CqVenLopCQIAayAgOBHTtEtggAsLBAio8P7trY4GJiIo6GhOD0gwcIBRBr\nYQH36tVRwcMD5cuXR/ny5WFrawsrKyuYmprCysoKyUlJSI+NhWloKDR37kBz+zYs79+Hc1QUqsTH\nwyHj8CmKgntOTnhUvz7sBw1ChddfL5l52lJSxCSLrVvFtbx7V3zv5wcMHCgmeDg6PraLVquFk5MT\nYnMJjfkxgM8BOAKIURSQxLhx4zBnzpzMWNAAcOzYMQwdOhQdg4PxfXIy0KMHsGFDybyOL4B+4sbh\njRuxq3Jl1L9zRzggrFiR4zUolIkYma07JyfhJycR6HTiVfvDDzOvUfYpp/b29hyb0fraYWXF39u2\n5ekvv2TqlSsv7OZSYtHpyOvXhSvjxIlk69aku/tjfZTZS4pazVgTE943MeEttZq3VSqGKAojIQKy\nPLl9rJkZb5crx0utWvHalCmMO3Qoz/12JQqdTsRb+Pxzsk4dcf5mZqLr559/Mjc7cuRIjtPN9WVM\nxnVzw+NxQHx8fHjhwoXMVq9arebn9etTpyhk167PdJsrzQQEBNDZyYlf29uLa96tW47XAoXVAu7f\nvz/YpQsQEgKcP5/3R0hpJjYWsLcH5s5FgIcH+vfvD7VaDbVajVatWsHf3x/+HTvC4vRplH/zTWNb\nWzxJThZZl+/fzypxcWK6eXJyVlGrRYvD3Fy4cNnaCnfIqlVFsbc39pkYh7NngaVLgZUrxRtH06bA\n6NGYfu4cZn3//VPTzfX8BqADANcc1tXTaNDd0hI/KAp+GzMGXefOBRo3Bv76C7C0LMyzKdaEhYVh\nzJgxcNm0CT8BSH/jDZisWfOYC27htoCnTRMDLAkJhfOYKWncvEn9tF39NQoICGBsbKyxLZOUNWJj\nye++ExM8ACaoVFwKsBvACk+0ft0BPgK4WKOhtbU1nZ2d6eHhwdq1a7Np06acpVZTCzBi7Voxc69a\ntZI/LmEo2rXjg1q1+Kl+BvBPPz22GoUxESOTl18WzvanThmkuhKP3lHbzi7zq759+8LW1tZIBknK\nLLa2wLhxYnLUwYNI9vfHW+bm2A7gHoBLO3fixo0biAgPx91XX4WZiQlG/Psv4uPjERERgeDgYFy4\ncAFBQUFY4+wMFQDncePE/b5t21N9zGUWrRZuzs5Y4uqKO9WrAx98ICbAPAfDCLCfn2hu799vkOpK\nPOnpYvmis88kEkOjKECrVnDesgUmDx8CmzYBv/6Kmp07w8vLC84//giTP/4APv8cqFIl12q0ajUQ\nFSVm7RlyNmApgYqCoG7dRBTGwMDnbm8YAXZyAnx9gd27DVJdiUcvwCV8CqaklGJlBbz2GvDmm0Bq\nqphuPmMG8PbbouWWExcvYsvDh1B0OhF2s0WLIjW5JBHp5gZ8/bWYjv8cDCPAANCxI/D33zLzKyBi\noAKyBSwp3hw/Lt5eFywAxo8Hfv45Kx63Hp1OuJg2aQJLErd9fEScbUmupJmbA5MnF7EAd+4shGff\nPoNVWWLJh2eJRFKkkOJNtUsX4RkRGgps3ChEOHuD4dEjYM4c0dodPRpo1gxdXVwQVrmy2CclxXjn\nUIownAD7+QE2NsDOnQarssSiH3wzZNQkiaQgpKYCy5aJyGudOgk3ta++Aq5eBXr1enp7U1Pg++8B\nZ2dg3Tpg1y6EqdWI17v13btXtPaXBF6g4WW4d2SNBmjTRg7EAVkjw1FRgIPDs7eVSAqbQ4dEiMur\nV4H69UWI0tdffzyt1JOoVMKv/wk/6gR94yI09JmDdWUOU9MXanAZrgUMAC1bAteuZU0tLavoRTcq\nyrh2SCQbNgDt2okWcGAgcPo08NZbzxZfPTlMYkm2sREfwsMNbGgJx9Hxhe53wwswABw9atBqSxwW\nFqJIAZYYk+vXgUGDgCZNRGvW37/ACRKSrK3FBynAj+PuLmZr5hPDCnD9+uIffOmSQastkTg6ApGR\nxrZCUpY5flyMy6xfD+iFs4AkW1uLezwszCD1lRoqVgQSEmCTz+wvhhVgc3ORvv3aNYNWWyLx9Cyy\nFDASSY4MHAjcugWUL2+wKnVqtfD7ly3gx8lIPVZJ74KaRwwrwIDICSYFWOTDu3RJuqRJjIuVleHr\ndHWVLeAn8fYGAFTNJchRbhhegF96STx1yzq1agFRUTDPw3xwiaRE8YL9naUab2/AxAQ++lmwecTw\nAlyhgsjkms8nQamjUSMAgOONG0Y2RCIxMOXKSU+nJzEzA2rWRB2jt4ArVBCv3WX9H9SwIWBiAifZ\nHSMpbbi7y/s7J/z80Cg1Fap89AMbXoD1Hf6hoQavukRx6xZQsSIcpQBLShuuriIYfkKCsS0pXnTp\nAlsSFfIx+C4FuLDo2RO4fRtuly9jDQDMmyfyoCUmGtsyiaRgVKgglvocdBJBp05IUBTUyEdc9MLp\nggBEiqKyzP79wiMEQGcAeP99ETHOwUFM2Z4zR44kS0omGb9rXL1qXDuKG5aW2GhhgeqnT+c5Vobh\nBdjZWcSFKOsCXLEicPEiUi0ssBkAHj4UgYomThTh/CZPBipVEpGmZEtCUkIgKTx8TEyAEyeMbU6x\nY5He7W/UqKy44M/A8AKsUgnxCQ42eNUlDlNTPKhfHz0AvD5qFH4ND8fDyZNFJKqrV4EhQ0SEqqpV\nRdqYsv7Qyi+RkUD37qK7584dY1tT6vHy8sL//d//4Zf160Uyzl27jG2S8Xn4EPjvP4T/+y969eqF\nkw8f4tzgwcD27SLo0XMwvAADYlbI7duFUnVJ466fH9wAeF2/jmHDhsHd3R0tWrTA15s34+uXXsJ/\n27eL4Cg//SSiS73/vpzCnBcSE4H27YE9e8B9+5DUpAlSIyKMbVWp5q+//sLIkSMxbNgwLI+MFDkg\ny+J9rtUCO3YAr74qPEK8vbG9YUOcOXMGu3fvRqPly8X6oUOfX1dOmTpzK7lmRX6St94iK1QwXMbR\nEsz6NWsYDpC9ezMxMZFbt27liBEjWK5cOZYrV44A6OnpyQ9ff53B7dpRpyikvb3IZJuWZmzziyc6\nHTlgAKko/G/BAg7x8WEawHV2dty3b5+xrSv1HDt2jO1eeokEGNSrF3U6nbFNKhqSk8lFi8iMc9c6\nO3Nz9eocCPCrnj0ZFxeX667IJSty4Qjw9OmkopApKQU95RLPunXrOA8gNRoyPDzze61WS61Wy5Mn\nT3LGjBls1KgRFUWhr7k5Tzs7kwBTa9Ykg4KMaH0x5bPPSIBbmzalWq1m69atebtPH2oBNgX45ptv\n8sGDB8a2slSTdOsWQ1xcuA9gly5dGBwcbGyTCg+tllyyhCxfXkimnx+PTZzIck5O9PT05J49e55b\nRdEK8LffiqofPnzRUy41rFu3jrXE1BRxXZ7B7du3uXjxYvp3787+Gg2DM/b7p04d/r1lS9lpaeSG\nTkd+8gkJcIOlJZ0cHLh48WJxXeLiyIoVmeDmxqYVK9Le3p7z589nenq6sa0uXTx4QDZvLn7PtrZM\nt7Cgt7c37ezssv4XpYkLF8gWLcT5tmjBqA0b2LtXLyqKwhEjRjyz1ZudohXgMWNIS0tS/vizrtHL\nL5O1awsRyQNJSUnct2UL9zRsyBSAMQC/srLiO2+8wYCAAMbHxxey5cWMtDRGv/UWCXApwMEDBzIi\nIuLxbY4fJ21sqHN35+99+9Lc1JQNGjTg8ePHjWJyqUSrJTt1IqdNI8uVIwGmjRjBj95/n2q1uvS0\nhkNCyOHDSbWadHQkly9nwLp1dHZ2znOrNzu5CbDCfETr8vX15cmTJzP/DggIQP/+/fFYHWlpwgui\naVPgo4+ACxfEgElqqogjamoq3NSeLKmpQHz80yUhQeyfkCBm36hUwgVGrRbFxEQUCwsR8/TJYmMj\ncrTpi62t+M7WVkSKKmCA6ueReY2++05knv33X5HoMD9cvYq4MWNgu28fwkxNMSk1FVvMzeHXogX8\n/f3Ru3dvVKxYsXBOoBjwKDgYoW3awOvWLaxxdobXH3/Ar3nznDc+d06kW794EakeHlhubo6Z16+j\n5/DhmD17Nuz0KXUkBSc5Gfj4Y+DbbwE/P5yaPBkDp07FgwcPMHv2bAwfPhxKId9fBicmRkya+uYb\n4UY2ciQiRo/G6GnTsGnTJgwfPhxz586FjT4zSB5RFOUUSd+nvje4AO/aJTKuFhS9eNrYZImpublI\nk63Viouj1YqSlpY1NTIhQQh3XqISqVRZYqxfPlmyr38yzXxamjhWXJwoOXxOCgtDQmQkXK2txUPm\n4UNR14tw6BAwYQJw9ixi3d3xW8WK+OjffxGTmIiaNWuiR48e8Pf3R/PmzV/8hx8eLq61peWL7W9g\nTv7wAypMmAD79HTs69MHndeuhcmT/4cnSUsDNm8WSSWPHIFOUXDUxASBFhZo9MUX6D92bNEYX1YI\nCADeeQcwMUHqF19gxu3bmPPNN+jYsSOWLFkCDw8PY1v4fFJThSfSp5+KTDb9+gFffYX1p05hzJgx\nsLa2xtKlS9G+ffsXqr7oBPjuXfFUTEkRbhpNm4rcUhpN1ommpoqbJHsxNc0SXEtLIY4FIXuLOi4O\niI3NEsecBDO3dfHxz4/pqyhPi3VGy/tWZCR2HjiA0aNHC9/JIUMKdl5aLbBpEzBrFnD6NHSenrjW\ntSt+TU3Fyl27cO/ePbi4uKBLly7o0aMHunTpkr+nddeuwI0bwoexWbOC2VoA7oeG4s9evTDw+HHE\nWFhAt2EDynXrlv+KLl4EAgKgXbsW6uvXkQ7grIMDKkyciHJjxoiJQ5KCc/26EOFDh4B69XBlwAC8\numwZHoSFFe/WMAls2QK89x5w86bInzd3LsIrVMCYMWMK1OrNTm4CXDh9wKUJrVYM8Ny7RwYHP15C\nQ8n4+Gf26xbaNdLpyMBAslkz0ZWvUpEdOvDe559zwbRpbN68OVUqFc3NzdmhQwfOnz8/b31z+/aR\nnp7Ca2Pt2syvExISeP36dcOfxxNotVouXbiQqzQaEmB4o0aGGczV6chz5xg6dCjvmJmRANMVhent\n25M//ywHjA2BTid+M1WqCDetRo24pH//4ts3nJQkXGYBslYt8s8/SZ2OAQEBL9zXmxso0kE4SSZF\nco0uXRKDIl5e4l8KkHXqMGnIEB4ePpwTO3emnY0NAbBmzZqcMmUKDx8+TK1Wm3N90dFky5ainlGj\nyJgYTp48mWq1ml9//XXu+xWQU6dOcXCNGryccQ4pkycXykBuWmoqV3/wAeeYmvJWhtBTrSY7dyaX\nLiUjIw1+zDJFaiq5bBlZqRIJMLJVK7asUqV4eUokJpJt2oj//fTpZGoqw8LC2Lt373x7OOQFKcBG\nokivkU5HnjhBfv65GKm2ts4UZJ2jI6Pq1uXeBg04wcmJdQCWc3LioEGDGBAQwNjY2MfrevSIfP99\n4c/t5sbPHB1pDVClUrFNmzYMDQ01mNnR0dF8d8wYfqkoTAeY6uZG7txpsPpzIzQ0lIPefJP1Aa6r\nWpWplSuL62ViQnbpQi5fTkZFFbodpZbkZPKrr0hzc+qcnLisTx/jt4Z1OjIsjGzbVvy2P/uM1GoL\npdWbHSnARsKo1yg9nbx4UbRGhg0TrnAZr98EmK5W85q1NZcoCoeoVOzl68tZs2bx6tWrWXWcOMGk\nxo3JDFe4bwBWMzGhnZ0dt27dWmATAwIC2NnBgVdMTMSD4u23RQu8CNm7dy+9vb1pZWnJFePGUfvB\nB1lvExoN2bUruWABee6c6JKS5I8rV8h69UgTE/771VeF7zes1ZK3b4uH+HffkZMmkb16kfXrkzY2\nWW+JGeWMqyutAIO3erOTmwAbZBAuICDgRfumSz1BQUH49ttvkZ/rXKikpYmkqefPi6BAp05B988/\nUMXFAQDOqVRYpdPhcOXK8OvZEz169MDZs2exaepUjNFq0R8igMh6AB8B6DB8OObPnw/LfHpNXLt2\nDRNHjkSb/fvxnqKA5cpBvXSpGAQ0AsnJyfj6668xa9Ys+Pj44McffoCfmZkY4d+4UQxMAmKQtVEj\nwNdXlJYtRYoeybOJiwM6dQJOn8aj9esxdf9+fP/99+jatSveeuut/NdHwjw6GrYhIbAKD4dVWBis\nHzyAbUgIrB88gDpbaqB0U1Mkubgg0dUVj+zsUPnwYcR4euJQly44u2IFGioKrLdsQbsX9HDIC4Uy\nCHfo0CGamJgQgCzPKBUrViyUp6rB0GrJ8+fJuXOp9fUVzvUqFbdaWfFlgB4eHlSpVATACgBnAUwA\nGAWwsVrN6tWr8/z583k6VFJSEmfMmMHWGg1v6lvjw4eTMTGFfJJ549q1a+zUqRMVReGgQYOyJnvc\nuUP+8ovoE2/cmDQ1zWpF+fiQM2eKV1tJ7kRFkXXrimv3xhu8PWQIx5Yrx9oAbZ+4Z0wBugKsDrA9\nwGEAvwQYAPBMxu8veys2BeBVgFsBzgE4HGArgO453I/9Mr5Xq9UcPXo04wup1ZsdFEYXhKSUcukS\nOXEiaWtLAtwLsMUTP2JPgHcybgaNRkNTU1POnz//mdUGBgbSp1IlLjI1pU5RqKtcmdy9u2jOKZ9s\n3bqVFStWpKOjY86vyikp5D//kHPmkO3bi1vJwYHcvNk4BpcUbt3KEk5Febw7wNJSXENz86e6CTL7\n5qtWJbt1E7/P778n9+whb94s9oGrpABL8k9cHE8PHMjQjBtgF8BG2UR4JkBtRmsFABVF4SuvvMLI\nJ7wIQkJCOGjQILYEGGJpKX52Y8YI975iTExMDMePH0+1Ws1WrVrx4sWLuW986RLp6ytE5Ycfis7I\nksiWLUJsX35ZBJtau5acPVv01Y4dS37wAfnFFyLy2K+/kvv3iz7dEhzaQAqw5IUYMGAAbUxMOAkQ\nYTUBngU4EOCnGX+rs4myiYkJ3d3duW/fPu7bt4/z58+nu7U1V9rZiZ+bl5e4oUoQp0+fZpMmTajR\naDh+/Pjc43AkJZH+/kKEN2woWiNLGgEB4vfw/vvGtqRIyE2ACzQIJyndaLVaODo6Ii5jgM4GwBgA\nLQGsADACQEUA9TUaqDJmLmq1WqRnmwbeRaPBb1ZWsI+NhTJ+PPDFFyIGRwlDp9Nh9erVmDRpEiws\nLDB//nwAQO/evR/fMDlZBIo/cwY4cABo0qTojS0pfPgh4OcHvPKKsS0pdAplKrKkdBMeHg5PT0/o\ndDqYmZnBxsYG1tbWsLS0hLdGg9X//INttWtjR7NmcHBwAAAcPXoUR48eRfcqVTAxLAzt4+NFEsfl\ny4EWLYx8RgXnwYMHmDx5MlavXg0A6N69OxYuXIjKlStnbRQRIabgJyQAx46JTCeSMk2heEFIyiha\nLdm9uxgsuXePOp2OK1eupIuLC+u5uvJK27ZiZpmNDfnll+LVvJRx4MABHjhwgDVq1KClpSVnzJjB\nlOwJCP79l3RyErPBsgXil5RNIPuAJQYhJoYcOFD8dBYs4Llz59i8eXO6qtXc07AhdRYWYrR63Lgy\nITypqamcP38+raysWLduXR45ciRr5f794jrJQbkyT24CXDhJOSWlh7Q04PJlYNUqEcnNwwNYuxap\nH3+MmZGRaO/ri8E3byLU3Bztz5yB0qePyPj83XeAi4uxrS90NBoNJkyYgPPnz6NChQpo2bIlBg8e\njMhz50SCVUUBXF2NbaakmPKcwKqSMk2fPiK99qNH4m97e8DLC4cHDMBbixbhjfBw3NVoYH7/PtCr\nF/DZZ0DNmsa12Uh4eXlhx44dCAwMxNphw5C+ejVSTU1hsnkzVD17Gts8STFFCrAkd7y8gFGjgIYN\ngYYNEXb4MNxGj0bdc+dwU79Nly7Cs6FhQ2NaWjxIS0OPY8fgHxGBCAcHNI6Nhc2cOfjRywt16tQx\ntnWSYojsgpDkzuzZwLffQjdwIL7csgUvTZqEeW5ueCypz9q1UnwB4NYtERdi1iwow4bBNTgYv5w4\ngfT0dDRq1AiTJ09GSkqKsa2UFDOkAEueS3BwMD799FO0IzExPh4oXx4YN05kOWnTBggJMbaJxmXd\nOqB+feDKFfF5yRLAygoNGjTAihUr4ODggHnz5uH8+fPGtlRSzJACLHkunp6e+G/TJqxLS8OlpCRM\n8PND5IwZwLZtIo3Lyy8Dp04Z28yiJy4OGDoUeP11oFYtEV2uXz8AIrrazJkz0aBBA5QrVw5HjhxB\n48aNjWywpLghBVjyfB4+ROX//Q9Wrq4I/vFH/H74MGrXro1VDx6AR46IlnDLlmKyRT4m9pRodu0C\natcGVq4UORAPHQI8PQEA+/btQ4MGDTB37lx8+umnOHXqFPz8/Ixrr6RYIgVY8nxmzQLu3QO2bEGy\nk9Pj6+rUAf75R0wpfecd0RqMiTGOnUVBbCwwfLgYfLS2FjPdPv/86YzZEkleyMk5OLciJ2KUUerW\nFfnSMoiOjs6MEta6dWtevnxZzI6bNUtMwqhcmTx61Hj2FhY7d5IVK4oEqFOmiJQ72QgNDeWgQYMI\ngP7+/sUvCaXEaEBOxJC8MBUqAEFBmVkh7O3tsWDBAvzzzz9ISkpCvXr1MOHdd5E4dixw5AigUoku\nienTxUSOkk5sLDBsmGj12tiIazFrFmBuDgBIT0/HggUL4OPjg2PHjuHPP/9EYGAgPDw8jGy4pNiT\nkyrnVmQLuIxy+zbp7k7+/vtTq7RaLRcvXkxbW1t6eXlxx44dZGwsOXiwmIbbuDGZPcdcSePPP7Na\nvVOnPtXqPXnyJBs3bkyNRsMpU6Yw+Yn1EgkpY0FICkpCwjNXP/n6fefOHYb/8APp6EhaWIh4CMUh\nHXleiYkhhw4Vt0iNGuTx45mr9F0w48ePz8wSffnyZSMaKynuSAGWFAn79u2jj48PraysaGVlxYUf\nfURtp07ip9atG3n/vrFNfD47duTY6tVHfXN1daW7uzvd3d25cuVKIxsrKQlIAZYUGcnJyZwxYwZn\nzJhBc3Nz1qtblzcnTRLhK52di2/etNjYrFZvzZoi51sGV69eZYcOHahSqThixAjGxsYyNjbWiMZK\nShJSgCVG4dq1a+zcuTMVReGUV15hWt264mc3ZIgQvOLCuXNktWpPtXoTExM5Y8YMmpqasmHDhjye\nrStCIskrUoAlRkWfZdjNwYGnu3alTqUSwcr37DG2aeSKFaJ17u5OHjyY+fXWrVvp6elJe3t7zp8/\nn+klOCmkxLjkJsDSDU1SJPTo0QMXL15E/0GD0PivvzC6Th2kqFRAhw7A2LFAYmLRG0WKWWxDhoiJ\nJGfOAK1aISQkBP369cMrr7yCxo0b48qVK5gwYQLUanXR2ygp1UgBlhQZdnZ2WLBgAU6ePIlzFhZw\nvXcPB+rXBxYtAurVA44eLTpjSGDiRODLL4WP7+7dSHd2zvTnPXv2LHbt2oWAgAC4ubkVnV2SskVO\nzeLciuyCkBgKrVbLlStX0snJib2dnRnv6irSuY8cSUZEFPbByREjRA/cxImkTsdDhw6xdu3atLCw\n4IwZM/jo0aPCtUFSpoDsgpAUJ1QqFQYPHoyLFy/CsmtXlAsPxxZPT3DpUqBqVRHkPSHB8AfW6YDR\no0XIyA8/RNQnn2DCxIlo06YN3NzccObMGcycORNmZmaGP7ZE8gRSgCVGxd3dHatWrcK2AwfwkYUF\nfDUaXHVzAz75RGTk+OYbMRXYEJDA//4HLFkCTp2KVd7e8PbxwYYNG7BixQrs2bMH3t7ehjmWRJIH\npABLigWtW7fG2bNnMXjWLDQKCUE/Dw9EengA770HlCsHDB4M7N8PaLUvdoCUFJFe6aefED5kCFoc\nPIh3hg3DgAEDcOXKjtK9gAAAArFJREFUFQwePNiwJySR5AEpwJJiQ/YMw4l16sDlzBnM6NYNyf37\nA1u3Au3aiWwcQ4cCf/yRd8+J06cBX19gyRIcbt4cHqtXIzUtDUFBQViwYAFsbGwK98QkklyQAiwp\ndnh5eWH79u3YsmULfrl4ERW2bMGijz+G7rffgPbtgU2bgNdeA5ycgO7dgd9+yznq2r17InVSkyZI\nDg3F2y4u6Hn5MmbPmYPjx4/D19e36E9OIslOTiNzuRXpBSEparLPRPP19eWJEyfI1FRy717hweDp\nKbwZKlUily0TAX/u3CFHjSJNTakzMeEODw86ABw0aBDDw8ONfUqSMgjkTDhJSebcuXNs1qwZTUxM\nOH78eMbFxYkVWi0ZGEj6+Ymfc61apEZDnUbDc82a0cfCgtWrV+ee4jDjTlJmyU2AZReEpERQt25d\nHDlyBMuWLcNvv/0GHx8frFq1SgR/9/cXgeDnzQMqVsS9nj3RwdMTfmfPov/kybhw4QLat29v7FOQ\nSJ5CCrCkxKAoCgYPHoyrV6+iT58+GDJkCNq3b4+rV68CKhUeDBiAwa6uqLRxIyy9vXH58mXMnDkT\npqamxjZdIskRKcCSEoejoyMWLFiA/fv3IywsDA0aNMCIESNQo0YNHD58GFu2bEFgYCAqV65sbFMl\nkmciBVhSYmnVqhXOnDmDGTNmYPPmzRg1ahQuXbqEHj16GNs0iSRPKKJ/OG/4+vry5MmThWiORCKR\nlD4URTlF8im/R9kClkgkEiMhBVgikUiMhBRgiUQiMRJSgCUSicRI5GsQTlGUCAB3Cs8ciUQiKZVU\nJuny5Jf5EmCJRCKRGA7ZBSGRSCRGQgqwRCKRGAkpwBKJRGIkpABLJBKJkZACLJFIJEZCCrBEIpEY\nCSnAEolEYiSkAEskEomRkAIskUgkRuL/ATu/7ZGkkEdUAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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t8q+/ynTxp7ToaP5TqxYJ0Nq2rRjeWBY0Tay10rAhL1Vz+c9/yH37uHDhQtap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\ngtN+TRw6AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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KnkW6STJpuNlvqanojxzhIMqYgVzgmNHIrzodtxuNFH39NeGjR6scZTXUvDn8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\nuAhjqgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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6SfKqXFliheZpmo7Lly9n3bp1+c8//5ied3befVciAdy/n7lr/vz51GX87vyw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\nTgzA6TBOnBiA02GcODGA/wPC2qPwUbPG0wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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30+LFi8kJoESJhE7oKW1MQS3sFaWrghcvsmfLk09arRMmIiKCXFxcqF+/frR2\n7VqOKBoyhP+HH31kVLXv3r17tGbNGpLL5TRt2jQ6W9oihIiHz+rpnTW7N2FiYiJeffVV1K5d2+Bz\nnJOS8Nz69QCAv5YuRWqzZpAqFOh97Bg8b9+GwtERF6dORUzPnlAaMIgGmZloP3MmAnNycHDoUGTv\n3AkAOH78eGVuiXFzq3jeHzc3oGNHIDYWqv79EblyJTxmz0bQsGFoAyDM0xP1UlJQ988/4erqirVr\n1xo0KKg8Hj16hOXLl2P27Nllpz4/d46DE2rVAvbtA1xcTLqWoXTq1AnZReND8vLysHj5cqw6fBhf\nApiwaBEObNqECxMnoo6HB9zd3ZGeng6VSoXbt2/jzJkziImJwd27d9G3b18sXLgQkydPxvTp0/Vf\nMCGBB/IZiz7l61rUJXh4eDjJ5XICYPCiLrnf1dr2TdG2lQAlApQB0GAD03MBKBOg70ttnzp1qsEl\nR6Xp3p0Ke/WioKCg4rwsAahAfZ/NmhGtX0/3wsON+huVtzz77LMl8/DoEVeFHBzYTs1YGwwLoFQq\nafeuXRTevTsRQHtcXMjHw4MAkLu7O3l6elLnzp1p+vTptGzZMt2tM/po2JBdzXRgW/tkIo2niHbT\n3b59RACdCA4muVxOPyxZwoaUANHixWWCXctEqGzezMdaOQj49KlT9ACgUC3xNQToNMBuXgMHat4L\nAB67MXky0f/+RxQWxhEqlfBTLEap5Fao4GBNVa8yQdSWpihIm9q1Y0NRU7h2jdP65BOdu20rcG2n\npMhI3qZQsDdJ69bkJJEQAHJycuKXlfHjeUBTKZejxYsXl0x32DA+zppR30REJ08SATReJiMA1Bdg\nF12AktQj3lQqDgVbsYJ9Pkq7zdrZETVvzi9m48dzSbx5M7cMHTzIP4RLl7j+f+oUG1muW0f06qvF\nblbk4cGtNVWZXbt4gJZUyi1plW02nTiRe0719JLbVuDqkla79N69m7//8gtJpVJNNYaIxaHDqm2N\n9tt5fj7fsC2G5r75JpGdHbXw9aW3ASoE6BJASydM0H+OSkV0+zaLd906dmkdPpyoY0duFZLJKm7B\nAfhFcsgQbrrMybHePZtCejp3PkkkXCDt2mVcv4O6ybUcx1nbClz9z7l6VbPthReI6ten0cOHl6yn\nl8Pff/9NDx8+5C+RkZzm9u3G58cUkpKInJ0pd8gQ+sXFhQig7RIJuclkpqWbn88l9okTvBw6xPcW\nGspVuYgI06s2tiY8nPsOAG71Cgsr/3iVit2BHRyIunUrd8iz7QR+/nzZ0vvRIyIXFwpv357s7OxK\nCHzbtm16k4qPj6fjal9AtdB80lsAABS0SURBVAOSMfa95mDuXFICdN3JidTNYYcOHqSVVWgMfJWm\noIAH5fn4aIS+Zw93+2sTHU00eDAf07Fj2f2lsJ3A1XPwaM8Lc+gQEUCja9Uq01IwZcoUvUllZGTQ\nAfXotVdfZScma05GlZhISnt7ypVKSaW2OCtCae33gOpObi53lKmFDnBHW5cu/G4mlXKv5aefGhSs\nYj1nK23y8zWBAWPGaLZfvAgAOFgqxg7gEWz6qF27NlJSUvhLYiLH61kxuDlpwABICgrg5OUFyYkT\ngNZU4lKpzWdEr144OXHQRFQUj/FesQJ46iluw+/Zk60irl3jaQxNDFax3CRUmzfzukuXkpm8fx9w\ndsbtmBikpqVh6dKl6NSpE9LS0hClwx5Am+TkZP6QlFQ5+7XKQISLvXrhqQsXIPH25o4VHXYLgkrg\n5AT06cOLhbCcwNWGLcuXl9x+/z7g5wcPT094eHrC19fXYBuu4hI8KYmtDCwM5eZiq4sLxgDs93Lh\nQuV60wQ2w3LPVnX1pGvXkttTUjRz1gOGmUQWkac2Y3zwADB24LuxPHyIO4GBeFH9/dtvhbirIZYr\nwQMCgNq12QxSm8zMEs5Xubm5BieZWjQHI7KzLVpNyLl4EenBwWhUWAiJiwvQpg1gYJCroGphuRI8\nKoof6aXJzGQH0SKMETgAID6e1xYS+MNDh5DXvj18HBwga9mSw/BCQ3ktqHZY7r8mleoWhVLJtrxF\nGFNFAaCp+ljiJTM8HPYDB6KOjw9k48Zxi8/atRrjTUG1w+bFktECT0/ntbu7WfNx7ZtvkB0cjFqB\ngZCvXg188w37bVdBM3+B4Vh0rnpDcHR0NO4EdZR3nTpmy0PYf/+LpxcsgEPLlpD8+iswYAAQGMie\nfIJqjc0FbmdsQ765S/Bbt9By7lw4BAZCcvgwsHAhEBMDHDtW4l1BUD2xeRXFycnJ4GOlUqlG4BVF\n3hjCgweIatYMdb28IDlwAPjwQ+D774F584Bu3UxPX2BzrC9wlapEF7sxAvf09AQKC/l8uWkPn1fH\njUNk/fpo7OIC7N8PPHoEfPcd71y0yKS0BVUH61dR0tNLlL5yI4Tq5OQEGPtSqoP8vDwM2roVHQCe\nQaBTJ82PbscO7kIW1AisW4KrVPySqFV/djWinmuQ4XkFpKam4n9162KoUgnJZ5+x/ZiaoUNLDKIS\nVH+sW4Ln5PDgSK0WkIZG2C17enpyN30lCQoKwticHPwnJwd47bWSNsBElU5XUHWxrsAzM3mtZTfR\nsGFDJCUl6bXDXfbBB7hw6RKCWrSAi4sL7sfFoT4AYwfKenl5IWbdOjiPHg0MHMjzvlShuYQElsG6\nAldPYqRVLXFzc0NmZqZegffYtg29b97EhP37caegAC4AJgMw3JEF+PvvvzGuZUs4T5zI4463bzf5\nJVVQPbBuHVw9nlurDt6wYUPExsbqPaXFrFloDSC8oAC9AHgBSDbiknZ2dgjbuBGrbt5ka+fffxft\n248R1hX41au8btGieJOXlxdiYmL0nuL1xhvoIpcjCcBBAI0B+AYEGHQ5qVQKRUIClpw+DRQU8MwM\nIljhscK6Ar9+nZvgSr1YPqjgxfGGSoUpAO4B6ArAqaBAs3P1ap5PUaks3kREmDNnDr7/9lvghReA\ne/fYqF3rhyV4PLCuwG/d4olKS40yPH36tO7jFQogNBS3JBKcAlA8QXhCAr8oRkdzPN+NG8UTL+Xn\n58PV1RUhISGYdPkycOIEsHGj6Jl8TLGuwG/fLp6JV5uIiIjizzk5OVg+fTqWyWRQBQQAEyfCrUED\nzAbQzcMDhfPnc0fRgQM8jPXBA2DOHADcxh0YGIjs7Gw8+/Aht5TMmQO8+GKZawoeE/SF2+taKu1N\nSMTh/3I50YIFZXbJZDIqLCgg+uMP2u/sTAqAlBIJ/e3kRKcXLaKYu3cJgMZ/JD+fLc8cHdlyoEcP\novv36cknn+RpPC5eZO/uHj3MNkemoOpie/NNIna2Ku2RUkR7gKJ9fXm/lxfbdBWZ+hw9epScnZ11\nO1+pVEQ//kiFTk4UJZNRyvnz7OPdpAl74umwgBPUPGzji1KaK1d43aqVZltWFo62a4cIAA0UCp6T\nPC4OWLmSYzoB9OrVCzk5OejduzcmTJiAhw8fas6XSPB3gwaY36EDAmvVgsfAgcCwYfxSuWOHCBIW\nWLEEX7mSS+gih1HVgQOU7eHBlsPTp7NJYwX4+/uTu7t7CScpR0dHUigURJcv82wPFRg1CmoeVaME\nP3+eO1pcXHAyOBiSAQMgdXOD9ORJYM0ag8Z337t3D6mpqejevTv69+8PqVSKvLw8HpGYkcHR9k5O\nHCR8967l70lQ5bGOwBUK4PZtZISEYJdcjq7h4cD06XC6cgUIDjY6uZMnT2Lbtm2YOnUqBg8ezENw\nx4wB/P2BI0d4bHf//lzdETze6CvadS2VraIcPXqUmjo6Ulz9+uwT/cUXJj2StCkoKKDv5XJSAGzR\nS8Sm8a6ubNebmWm2awmqJjatoiQmJmJh79645uICv8xM4JdfSg5TNRG7f//FJKUSfzRtilGffcYb\nu3Thl8wrV3iCJrXlm+Cxw2ICv3DhAuzt7BD24os4bmcHmYcHcPo0d52bk717IfHywvNnzmDjxo1w\ncHDgjqMBA4CtW4EzZ4AePTRDdQWPFWYX+N69e+Hv748rf/6JgiFDMOroUa4PR0QALVua+3LA4sXA\npUuAmxucnZ2Rn5+P69evw9vbG6G5uRxvefMmR+uIoIbHD311F11LRXXw27dvk0QiodCOHXmiJTs7\nNjG3gUF8amoqSaVSunbtmmZGiN27rZ4PgeWxeB38yJEjaNGiBXbu3AmVSoXxn3wCTJ7Mg6veftsm\nvn7u7u5QKpU4cOAA3OfOhUouB44etXo+BDZGn/J1LaVLcKVSSbVr16b9+/db5ZdaaYomrZphb192\nGmxBtcdiJXjHjh0xe/ZshISEmOv3Zn5SU4GXXwY8PeE9YwY++OADXNDleiuokZgk8IkTJ2Lbtm3m\nyov5SU0F+vXj8eJbtmDrgQOQyWRoIQIfHhtMEvjs2bNx48YNBAQEwMPDAyqVylz5Mp2oKKBXL9DV\nqzg8cyb8Jk3C5cuXkZubCwcHB1vnTmAlzPL2d+3aNcyaNQudO3c2R3Kms3kz0K4dEBeHWU2aIGT1\naly/ft3WuRLYALMI3NnZGYsXL8aZM2dQr149zHF3504Wa5OQwNE748Yh1c8PbVQqrL50CQqFwigH\nLUHNwaztdxKJBElJSfiiZUtETpmCxYsXIz8/35yX0M/+/UDz5ijcuROrPT1xcfVqXMzIEHNYPuZY\nxv2mVSt0vHEDvq+8gqlTpyItLQ179+61yKUAAEeOgF54AWcLCuB79Chm9+pluWsJqhWWKd5atQJS\nUuAnkyE0NBSXL1/G6tWrodSydtBJYSGwb5/RXerR772HJIUC8Rs3wk+IW6CFZQSunrl27VoAQHR0\nNEJCQjBw4EC8+uqr+s/77jtg8GCe3tkAMjIyIJfLUVcigXfnzhgycaKpORfUNPT1AOlajBoPPnIk\nkYtLmcDftLQ0kslkdPXq1ZLH5+QQ1a1L1KsXBxPHxvI4ljFjOK0tW4gUCiIiunXrFkkkEho/fjyf\nO2UKkYeHTca8CGyPbaLqb94ksrcnat2a6N9/S+yKjIwkOzs7mjdvnmbjl19ydo4d4/hNuZy/+/sT\n1a/Pn/v2pdzUVHJwcKCTJ09qzn3tNd6fkmLUH0ZQM7CdbcThw5pA4O7dWcRnzxLl5hIRUXx8PAGg\nmDt3WMhduxK9/TYfP3w4UVQUp6NUUlpR0PKBhg25hCciunePaPZsPn706Er/gQTVG9v6oqSkEC1d\nStSqFV8OIJJKiQID2ZhnzBi63rQpEUAFderw/nHjuIqSmUmkUFCfdu1o2euvE02axPtfeomob18O\nfwOIXn9dGPw8xpQncAkZ0WLRsWNHioyMrHyF//Ztjq6/dIm70mNjeco+YyPgJRKgeXNg9Ghg4kSg\nUaPK50lQ7enYsSMiIyN1zmZgXRf4oCBeRo7UbPvjD2DQIP48bBi2P3wIr3/+wfWAANRv0AADe/aE\no5cXT3vi7c3d8Lt3c/hbbWNs8AWPI7af5uB//+O1nx+waRNGffEF6ORJjI6NxUNdJbuXFxAfDyQm\nCoELKsS2As/L49IYADZtAlxcgKNHkeznh7SEBN3nPP20iMwRGIxtB2ocOsRriQTo3RsAUHj5Mn6P\ni4NSqcS9e/dslzdBjcC2Ap86ldfqkYeFhUBiIu4X7R48eLBNsiWoOdhO4IWFQFISfx4+nNd370IO\nIKrokBs3buDDDz+0Re4ENQTbCfzsWV7Xrl08/QjduQMAuF10iEKhwA8//GCDzAlqCrYTuNpNdvPm\n4k0bP/8cAKDlAF7hBFUCQXnYTuBPPMHVFK169qmDBwEA+fb2sLe3L46dPHHihE2yKKj+2LaZsKhq\nombsc88B+/Zh5nvvYeOuXRg7diwAoHXr1rbInaAGYPuOHi16d+oE7NuHOQsX4vS1a5g3b56tsySo\n5lStgEV1iS5MMgVmomoJ3N6e19YKVBbUeKqWwNUR8KIEF5iJqiVwgcDMCIELajRC4IIajRC4oEYj\nBC6o0QiBC2o0VVPgoplQYCaqlsCdnXmdm2vbfAhqDFVL4HXq8Do93bb5ENQYqpbAa9XidVaWbfMh\nqDFULYELs3qBmRGKEtRohMAFNRohcEGNRghcUKOxqcAfPHiAZcuWoU2bNvDw8MDg558HAHTs1Anb\ntm2DRCIpXtq2bYvly5djz549tsyyoLqhz1dZ11Ipf3At8vLyaMiQISSTyWjBggX0xx9/lDxg7172\n+z5zRm8aGRkZNG/ePJLJZOTk5EQ///yzSXkSVH9sa4BPRNOmTSM/P7+SU5boIj2d6Nw5nq/HQBIS\nEigwMJCkUildv369UvkTVG/KE7jlouoHDAAOHsSUyZMRHh6OmJiYiidldXPjKbgNpbAQPlIpbu/f\njwPbtuHVVq2w++xZ1HnySdGmLgAAC87wIGHD/azMTNOm0c7JAS5cAK5cAa5e5SU+nn0Nk5N1DszK\ntLODY+/esH/5ZWDUqDL+K4KahVVnePj1118xduxY5BV9r5S4r10D9u4FDhwATpwACgp4u7Mz0LIl\n0KwZ0K0b4OMD1K0LuLtz6W9nB9y9C/sTJ5Cyaxd8Dx0Cli4FNm4EOnUy1y0KqhP66i66FkPq4DKZ\njOZMm8bV+4kTDa9I/fsv0YIFRM2bayarat2a6J13+OUzOtqoeTAV+fk0WiolatiQpyTcudPwvAiq\nFVZ7yXR0dOQPFy5w0tu3V5y7f/4hGjSIj5fJePa0NWt4ljUTUalUVN/JibKeeopFXmq+TkHNoDyB\nm+1NbPz48YiJieEv0dG8btxY/wn//MOzOnTrBkREAB9/zPPuHD4MTJ8ONGhgcp4kEgki79xBh/v3\nuQozY4YIpnjMMIvAT548ic2bN6Nu3bq8oTwLtuhofvHr3h24eRP44gueRvC99wBPT3NkpwS+vr5Y\ntm4d7k2eDBw7xrOzCR4bzPKS2a1bN5zWFo6TE6/z8jTbiIB164C33+bvixcD77zDE09ZmOHDh8N1\nxAhk1arFL5xdulj8moKqgckCVyqVWLVqFTp37qzZ6OjI60ePeJ2aCowfD+zfD/TvD2zYADRsaOql\njeKDlStBf/0FyalTVr2uwLaYXEW5ePEi+vfvX3Kjdgl+/jzQoQPPqPbll9z0Z2VxA0Dfvn2R7uSk\nmRdI8FhgssC3bt2Kli1bltzo68vr337jurZCARw/DsycWdwBZG3at2+P7IgInllC8NhgssBjY2PL\nblQL/PvveWbiiAiewNWWXLkCv/h4oGdP2+ZDYFVMFnjTpk3LbtQupX/7Dahf39TLmM6HH0Jhbw/M\nmmXrnAisiMkCb9WqFbKzs0tu1J6hOCjI1EuYzqFDwC+/4M7//Z9FmiIFVReTBT569GgsWrSo5MZf\nf9V81pom0CZkZgLTpyPJzQ0txZybjx1m6ej5+uuv8f3332s2nDkD+Pvz0Nc1a2zXe6hUAmPGANHR\neCk3V9N8KXhsMIvAp06dWrIUf/AA8PPjVpNLlzRz0VuTxERg6FBg/348+vxzPDVzpvXzILA9+gap\n6FrKG2y1du1a+uuvv/hLx45EISFECgVRly5E7u5EcXEWGWijk717ierWJXJwoBuzZpFUKrXetQVW\nxyqDrV577TXMmjULaWlpPP+8qysglwOhoTxr2tixQEaGuS5XlsJCYPduICQEeP55oH59pB46hFFh\nYZwnweOJPuXrWioaLhsbG0udO3emhw8fltyxaRMPV33iCaKLF832yyWVitNbuJDI15eH3NavT/TR\nR0SPHlH79u0pPj7efNcTVEmsGnSckJBA7du3p3379pXcceQIkacnkURCNGoU0bFjRPn5xt9NbCzR\njh1Eb7xBFBDAtyCR8Jjy3buJFAr67bffyNPTk5KSkoxPX1DtsGrQsY+PD86ePYvQ0FAEBQXhq6++\nQkhICI/9vnGDh8euXg1s385jVrp1Azp3BgICeAy4ehyLUgkkJABxcUBsLC/nzwP37/N+JyceuLVw\nIfDcc8W9p40bN8bSpUuRnJxs7lsTVEMsF3QMbiPfvn07zp07h3ba0fLp6cCRI8DRo7y+epUFrQ8P\nDxZ/q1ZAcDAPd23TRjMzchGDBg2Cu7s7Ntu67V1gVcoLOraKL8rvv/9OAOjJJ5+klJSUsgcoFFz1\nOHmS6OhRXsLCiK5fJ8rOLjft1atXEwAKDg6uVN4E1R+bG/9o8/PPP5OLiws1atSIJk6cSKdPnzb4\n3FOnTtG6desoMDCQXF1dafTo0ZSVlWVyngTVm/IEbtEqiiFERUVh27ZtiI2NRWRkJKKioqBSqZCe\nng4PDw+4ubmhdevW6NKlC1588UUEBgZCYqMht4KqiVV9UYylcePGWLBgga2zIaihCH8zQY1GCFxQ\n7cnIyNDbVW1UHVwikTwEcK/CAwUC6xJARHV17TBK4AJBdUNUUQQ1GiFwQY1GCFxQoxECF9RohMAF\nNRohcEGNRghcUKMRAhfUaITABTWa/weMRtDhSASrDgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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a15rkW1jI07yionjBlonKykoaNWoU+fr6imic9RiNRlIqlbR+/XpeGRkdzZOY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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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xsRw0aBAlSaIkSezQoQPPnj17/+/1sfIIUK1Scf/+/cVofBFkZZHnz5N//EEu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\nMy7MNiwAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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wsEXTSYeJrtPp2K1bN06fPl3sKCsTvWTIEFmH8SYpghd/8YXIqg7wBsCUfv3M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\naBHdCfw/qkc7EROAMMEAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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a+PmRb7+tRDzUINVvgP/v/0iAq//5TxqNRubm5tZcbTyFNWtIgK/fdZfaSmot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\nEpoB1tDQ0FCJ/we5lvq950TnIgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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i6irCiHp4lCxubreKLeSoTdTq8j+XOh2QkACcOQOcPAns3Qv8739ifUAAMHas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\nMjJOQjbAMjIyMk5CNsAyMjIyTuL/AY4PoGEg30QOAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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6Olb6XGpRsx8vgiAINsw92wLOyMgAAERHRyM6OhpxcXHKUzwuLg6JiYmlWrNu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\nAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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UYwMl6CDRQn2xoogKStBBooHqFMYAStBBop7QsYESdAioJ3TXRwk6SEIenKSI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\nTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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f/yiXy6Veycn6wD9und2u0s6d9aM/7+6k005Txf626dbGiBHa4XTqrjvv1F13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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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obt/G89Qp7EeMUEZ1qRQYUrEiAA4REVaWROUOoqOtagEXykk5c6LVamn1wgu0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\nJA+RAViSJMlDZACWJEnykP8HZqvEUvZyk0UAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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aNfo++yxHjhxxrn2ujD0Eb66X2WZXbckp5arJExcnm41GtTU1ebLj6l934tQp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\nGg0UpVTUaKAopaJGA0UpFTX/BS19hCKfiA0bAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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pktredluBzE1MTOS9994DoPmlS6QDI5YuZaSfHzWTk8FkUq2dGxESolo9bdsq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\nh6EFRqPROAwtMBqNxmFogdFoNA7j/wH9HZACBElp9QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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ONMIdOiT+trZtaXH6ZQFeL1KEsc88Q86dSx4+7J5GrpkzZf9XrkgDDkBu28aAgAD+8ssv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\nCCXACoVC4SH+Hwi6jYvIP1AQAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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PkopSmKeeeqrk9f7xh+qOPfNMaSXXsKIpTEUzeDDcey+8/DJs2JC3/YknYPZs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\naGiUAE1hNDRKwP8DEVA2KM3EzxsAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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8CLRoUTHHNRgkkm5iosRRT0sDMjIk4m55k06Xd5qRYU6ZmUBGBmKuX4eLjQ2s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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "e-c800o2Baci",
"colab_type": "code",
"outputId": "86307e27-fad6-44b8-85a7-03398befd388",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 53
}
},
"source": [
"# This cell converts the file to tf.Record of tf.Example.\n",
"# This cell takes long time to run.\n",
"\n",
"def get_label_file_contents(type, labelid):\n",
" get_label_file(type, labelid)\n",
" with open(os.path.join(LOCAL_DATA_DIR, type, \"%s.%s\" %(labelid, type))) as f:\n",
" return f.read()\n",
"\n",
"def ink_to_tfexample(ink, dot=None):\n",
" \"\"\"Takes a LabeledInk and outputs a TF.Example with stroke information.\n",
"\n",
" Args:\n",
" ink: A JSON array containing the drawing information.\n",
" dot: (Optional) textual content of the GrahViz dotfile that was used to\n",
" generate the prompt image.\n",
"\n",
" Returns:\n",
" a Tensorflow Example proto with the drawing data.\n",
" \"\"\"\n",
" features = {}\n",
" features[\"key\"] = tf.train.Feature(\n",
" bytes_list=tf.train.BytesList(value=[ink[\"key\"].encode(\"utf-8\")]))\n",
" features[\"label_id\"] = tf.train.Feature(\n",
" bytes_list=tf.train.BytesList(value=[ink[\"label_id\"].encode(\"utf-8\")]))\n",
" if dot:\n",
" features[\"label_dot\"] = tf.train.Feature(\n",
" bytes_list=tf.train.BytesList(value=[dot.encode(\"utf-8\")]))\n",
"\n",
" max_len = np.array([len(stroke[0]) for stroke in ink[\"drawing\"]]).max()\n",
"\n",
" strokes = []\n",
" stroke_lengths = []\n",
" for stroke in ink[\"drawing\"]:\n",
" stroke_len = len(stroke[0])\n",
" padded_stroke_with_pen = np.zeros([1, max_len, 4], dtype=np.float32)\n",
" padded_stroke_with_pen[0, 0:stroke_len, 0] = stroke[0]\n",
" padded_stroke_with_pen[0, 0:stroke_len, 1] = stroke[1]\n",
" padded_stroke_with_pen[0, 0:stroke_len, 2] = stroke[2]\n",
" padded_stroke_with_pen[0, stroke_len - 1, 3] = 1\n",
" strokes.append(padded_stroke_with_pen)\n",
" stroke_lengths.append(stroke_len)\n",
"\n",
" all_strokes = np.concatenate(strokes, axis=0).astype(float) # (num_strokes, max_len, 4)\n",
" all_stroke_lengths = np.array(stroke_lengths).astype(int)\n",
"\n",
" features[\"ink\"] = tf.train.Feature(\n",
" float_list=tf.train.FloatList(value=all_strokes.flatten()))\n",
" features[\"stroke_length\"] = tf.train.Feature(\n",
" int64_list=tf.train.Int64List(value=all_stroke_lengths))\n",
" features[\"shape\"] = tf.train.Feature(\n",
" int64_list=tf.train.Int64List(value=all_strokes.shape))\n",
" features[\"num_strokes\"] = tf.train.Feature(\n",
" int64_list=tf.train.Int64List(value=[len(ink[\"drawing\"])]))\n",
" example = tf.train.Example(features=tf.train.Features(feature=features))\n",
" return example\n",
"\n",
"@contextlib.contextmanager\n",
"def create_tfrecord_writers(output_file, num_output_shards):\n",
" writers = collections.defaultdict(list)\n",
" for split in [\"train\", \"valid\", \"test\"]:\n",
" for i in range(num_output_shards):\n",
" writers[split].append(\n",
" tf.io.TFRecordWriter(\"%s-%s-%05i-of-%05i\" %\n",
" (output_file, split, i, num_output_shards)))\n",
" try:\n",
" yield writers\n",
" finally:\n",
" for split in [\"train\", \"valid\", \"test\"]:\n",
" for w in writers[split]:\n",
" w.close()\n",
"\n",
"def pick_output_shard(num_shards):\n",
" return random.randint(0, num_shards - 1)\n",
"\n",
"def size_normalization(drawing):\n",
" def get_bounding_box(drawing):\n",
" minx = 99999\n",
" miny = 99999\n",
" maxx = 0\n",
" maxy = 0\n",
"\n",
" for s in drawing:\n",
" minx = min(minx, min(s[0]))\n",
" maxx = max(maxx, max(s[0]))\n",
" miny = min(miny, min(s[1]))\n",
" maxy = max(maxy, max(s[1]))\n",
" return (minx, miny, maxx, maxy)\n",
"\n",
" bb = get_bounding_box(drawing)\n",
" width, height = bb[2] - bb[0], bb[3] - bb[1]\n",
" offset_x, offset_y = bb[0], bb[1]\n",
" if height < 1e-6:\n",
" height = 1\n",
"\n",
" size_normalized_drawing = [[[(x - offset_x) / height for x in stroke[0]],\n",
" [(y - offset_y) / height for y in stroke[1]],\n",
" [t for t in stroke[2]]]\n",
" for stroke in drawing]\n",
"\n",
" return size_normalized_drawing\n",
"\n",
"def resample_ink(drawing, timestep):\n",
" def resample_stroke(stroke, timestep):\n",
" def interpolate(t, t_prev, t_next, v0, v1):\n",
" d0 = abs(t-t_prev)\n",
" d1 = abs(t-t_next)\n",
" dist_sum = d0 + d1\n",
" d0 /= dist_sum\n",
" d1 /= dist_sum\n",
" return d1 * v0 + d0 * v1\n",
"\n",
" x,y,t = stroke\n",
" if len(t) < 3:\n",
" return stroke\n",
" r_x, r_y, r_t = [x[0]], [y[0]], [t[0]]\n",
" final_time = t[-1]\n",
" stroke_time = final_time - t[0]\n",
" necessary_steps = int(stroke_time / timestep)\n",
"\n",
" i = 1\n",
" current_time = t[i]\n",
" while current_time < final_time:\n",
" current_time += timestep\n",
" while i < len(t) - 1 and current_time > t[i]:\n",
" i += 1\n",
" r_x.append(interpolate(current_time, t[i-1], t[i], x[i-1], x[i]))\n",
" r_y.append(interpolate(current_time, t[i-1], t[i], y[i-1], y[i]))\n",
" r_t.append(interpolate(current_time, t[i-1], t[i], t[i-1], t[i]))\n",
" return [r_x, r_y, r_t]\n",
"\n",
" resampled = [resample_stroke(s, timestep) for s in drawing]\n",
" return resampled\n",
"\n",
"for json_file in JSON_FILES:\n",
" counts = collections.defaultdict(int)\n",
" with create_tfrecord_writers(os.path.join(LOCAL_DATA_DIR, json_file + \".tfrecord\"), NUM_TFRECORD_SHARDS) as writers:\n",
" with open(os.path.join(LOCAL_DATA_DIR, json_file)) as f:\n",
" for line in f:\n",
" ink = json.loads(line)\n",
" dot = get_label_file_contents(\"dot\", ink[\"label_id\"])\n",
" ink[\"drawing\"] = size_normalization(ink[\"drawing\"])\n",
" ink[\"drawing\"] = resample_ink(ink[\"drawing\"], 20)\n",
"\n",
" example = ink_to_tfexample(ink, dot)\n",
" counts[ink[\"split\"]] += 1\n",
" writers[ink[\"split\"]][pick_output_shard(NUM_TFRECORD_SHARDS)].write(example.SerializeToString())\n",
"\n",
" print (\"Finished writing: %s train: %i valid: %i test: %i\" %(json_file, counts[\"train\"], counts[\"valid\"], counts[\"test\"]))"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Finished writing: diagrams_wo_text_20200131.ndjson train: 27278 valid: 4545 test: 4545\n",
"Finished writing: diagrams_20200131.ndjson train: 16717 valid: 2785 test: 2785\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab_type": "code",
"id": "oXqJ4cqpzIUV",
"colab": {}
},
"source": [
"# Download the TFRecord files to local machine (or use the filemanager on the left).\n",
"for json_file in JSON_FILES:\n",
" for split in [\"train\", \"valid\", \"test\"]:\n",
" for i in range(NUM_TFRECORD_SHARDS):\n",
" filename = os.path.join(LOCAL_DATA_DIR, json_file + \".tfrecord-%s-%05i-of-%05i\" % (split, i, NUM_TFRECORD_SHARDS))\n",
" print(filename)\n",
" files.download(filename)"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "K5dz6YIBWgPT",
"colab_type": "code",
"outputId": "93724ad1-4a70-4079-9f53-997c554493c1",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 187
}
},
"source": [
"stats = {}\n",
"\n",
"# Compute some dataset statistics\n",
"def count_points_strokes(ink):\n",
" return sum([len(stroke[0]) for stroke in ink]), len(ink)\n",
"\n",
"# Collect data to compute statistics\n",
"for json_file in JSON_FILES:\n",
" stats[json_file] = collections.defaultdict(list)\n",
" with open(os.path.join(LOCAL_DATA_DIR, json_file)) as f:\n",
" for line in f:\n",
" ink = json.loads(line)\n",
" points, strokes = count_points_strokes(ink[\"drawing\"])\n",
" stats[json_file][\"points\"].append(points)\n",
" stats[json_file][\"strokes\"].append(strokes)\n",
" stats[json_file][\"labels\"].append(ink[\"label_id\"])\n",
"\n",
" print (json_file)\n",
" for i in [\"points\", \"strokes\"]:\n",
" print (i, min(stats[json_file][i]), max(stats[json_file][i]), statistics.median(stats[json_file][i]))\n",
"\n",
" for i in [\"labels\"]:\n",
" labels, counts = np.unique(stats[json_file][i], return_counts=True)\n",
" print (i, len(labels), min(counts), max(counts), statistics.median(counts))\n",
" print()"
],
"execution_count": 13,
"outputs": [
{
"output_type": "stream",
"text": [
"diagrams_wo_text_20200131.ndjson\n",
"points 2 17980 1068.0\n",
"strokes 1 71 9.0\n",
"labels 940 1 169 36.0\n",
"\n",
"diagrams_20200131.ndjson\n",
"points 2 7268 2295\n",
"strokes 1 161 31\n",
"labels 5629 1 27 3\n",
"\n"
],
"name": "stdout"
}
]
}
]
} | Jupyter Notebook | 5 | deepneuralmachine/google-research | didi_dataset/didi_dataset.ipynb | [
"Apache-2.0"
] |
// Copyright 2010-2015 RethinkDB, all rights reserved.
#include "concurrency/pump_coro.hpp"
#include "assignment_sentry.hpp"
#include "arch/runtime/coroutines.hpp"
#include "concurrency/interruptor.hpp"
#include "containers/map_sentries.hpp"
#include "utils.hpp"
pump_coro_t::pump_coro_t(
const std::function<void(signal_t *)> &_callback,
size_t _max_callbacks) :
callback(_callback),
max_callbacks(_max_callbacks),
running(0), starting(false), queued(false),
timestamp(0), drained(false), running_timestamp(nullptr)
{
guarantee(max_callbacks >= 1);
}
void pump_coro_t::notify() {
assert_thread();
mutex_assertion_t::acq_t acq(&mutex);
if (drained) {
return;
}
++timestamp;
/* If `starting` is `true`, then there's already a coroutine that's going to call the
callback soon, so we don't need to start another one */
if (!starting) {
if (running < max_callbacks) {
starting = true;
coro_t::spawn_sometime(std::bind(&pump_coro_t::run, this, drainer.lock()));
} else {
queued = true;
}
}
}
void pump_coro_t::include_latest_notifications() {
assert_thread();
mutex_assertion_t::acq_t acq(&mutex);
guarantee(max_callbacks == 1, "Don't use `include_latest_notifications()` with "
"max_callbacks > 1");
guarantee(running_timestamp != nullptr, "`include_latest_notifications()` should "
"only be called from within the callback.");
*running_timestamp = timestamp;
queued = false;
}
void pump_coro_t::flush(signal_t *interruptor) {
assert_thread();
mutex_assertion_t::acq_t acq(&mutex);
guarantee(!drained, "flush() might never succeed if we're draining");
if (running == 0 && !starting) {
guarantee(!queued, "queued can't be true if running != max_callbacks");
return;
}
cond_t cond;
multimap_insertion_sentry_t<uint64_t, cond_t *>
sentry(&flush_waiters, timestamp, &cond);
acq.reset();
wait_interruptible(&cond, interruptor);
}
void pump_coro_t::drain() {
assert_thread();
{
mutex_assertion_t::acq_t acq(&mutex);
drained = true;
}
drainer.drain();
}
void pump_coro_t::run(auto_drainer_t::lock_t keepalive) {
mutex_assertion_t::acq_t acq(&mutex);
guarantee(starting);
guarantee(!queued);
guarantee(running < max_callbacks);
starting = false;
++running;
while (!keepalive.get_drain_signal()->is_pulsed()) {
uint64_t local_timestamp = timestamp;
assignment_sentry_t<uint64_t *> timestamp_sentry;
if (max_callbacks == 1) {
timestamp_sentry.reset(&running_timestamp, &local_timestamp);
}
acq.reset();
try {
callback(keepalive.get_drain_signal());
} catch (const interrupted_exc_t &) {
return;
}
coro_t::yield();
acq.reset(&mutex);
for (auto it = flush_waiters.begin();
it != flush_waiters.upper_bound(local_timestamp);
++it) {
it->second->pulse_if_not_already_pulsed();
}
if (queued) {
queued = false;
} else {
break;
}
}
--running;
}
| C++ | 5 | zadcha/rethinkdb | src/concurrency/pump_coro.cc | [
"Apache-2.0"
] |
# License: BSD 3 clause
| Python | 1 | emarkou/scikit-learn | sklearn/linear_model/_glm/tests/__init__.py | [
"BSD-3-Clause"
] |
/* 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.
==============================================================================*/
#ifdef INTEL_MKL
// This file contains the registration of MKL-DNN array ops.
#include "tensorflow/core/framework/common_shape_fns.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/util/mirror_pad_mode.h"
#include "tensorflow/core/util/padding.h"
#include "tensorflow/core/util/strided_slice_op.h"
#include "tensorflow/core/util/tensor_format.h"
namespace tensorflow {
using shape_inference::DimensionHandle;
using shape_inference::InferenceContext;
using shape_inference::ShapeHandle;
using shape_inference::UnchangedShape;
// Adding QuantizedConcatV2 op to be able to replace it by
// _MklQuantizedConcatV2 in the graph rewrite.
REGISTER_OP("QuantizedConcatV2")
.Input("values: N * T")
.Input("axis: Tidx")
.Input("input_mins: N * float32")
.Input("input_maxes: N * float32")
.Output("output: T")
.Output("output_min: float")
.Output("output_max: float")
.Attr("N: int >= 2")
.Attr("T: type")
.Attr("Tidx: {int32, int64} = DT_INT32")
.SetShapeFn([](InferenceContext* c) {
const int n = (c->num_inputs() - 1) / 3;
TF_RETURN_IF_ERROR(shape_inference::QuantizedConcatV2Shape(c, n));
ShapeHandle unused;
for (int i = n + 1; i < c->num_inputs(); ++i) {
TF_RETURN_IF_ERROR(c->WithRank(c->input(i), 0, &unused));
}
c->set_output(1, c->Scalar());
c->set_output(2, c->Scalar());
return Status::OK();
});
REGISTER_OP("_MklQuantizedConcatV2")
.Input("values: N * T")
.Input("axis: Tidx")
.Input("input_mins: N * float32")
.Input("input_maxes: N * float32")
.Output("output: T")
.Output("output_min: float")
.Output("output_max: float")
.Attr("N: int >= 2")
.Attr("T: type")
.Attr("Tidx: {int32, int64} = DT_INT32")
.SetShapeFn([](InferenceContext* c) {
const int n = (c->num_inputs() / 2 - 1) / 3;
TF_RETURN_IF_ERROR(shape_inference::QuantizedConcatV2Shape(c, n));
ShapeHandle unused;
for (int i = n + 1; i < c->num_inputs() / 2; ++i) {
TF_RETURN_IF_ERROR(c->WithRank(c->input(i), 0, &unused));
}
c->set_output(1, c->Scalar());
c->set_output(2, c->Scalar());
return Status::OK();
});
REGISTER_OP("_MklQuantizeV2")
.Input("input: float")
.Input("min_range: float")
.Input("max_range: float")
.Output("output: T")
.Output("output_min: float")
.Output("output_max: float")
.Attr("T: quantizedtype")
.Attr("mode: {'MIN_COMBINED', 'MIN_FIRST', 'SCALED'} = 'SCALED'")
.Attr(
"round_mode: {'HALF_AWAY_FROM_ZERO', 'HALF_TO_EVEN'} = "
"'HALF_AWAY_FROM_ZERO'")
.Attr("narrow_range: bool = false")
.Attr("axis: int = -1")
.Attr("ensure_minimum_range: float = 0.01")
.SetShapeFn(shape_inference::QuantizeV2Shape);
REGISTER_OP("_MklDequantize")
.Input("input: T")
.Input("min_range: float")
.Input("max_range: float")
.Output("output: float")
.Attr("T: quantizedtype")
.Attr("narrow_range: bool = false")
.Attr("axis: int = -1")
.Attr("mode: {'MIN_COMBINED', 'MIN_FIRST', 'SCALED'} = 'SCALED'")
.Attr("dtype: {bfloat16, float} = DT_FLOAT")
.SetShapeFn([](InferenceContext* c) {
TF_RETURN_IF_ERROR(shape_inference::UnchangedShape(c));
ShapeHandle unused;
TF_RETURN_IF_ERROR(c->WithRank(c->input(1), 0, &unused));
TF_RETURN_IF_ERROR(c->WithRank(c->input(2), 0, &unused));
return Status::OK();
});
} // namespace tensorflow
#endif // INTEL_MKL
| C++ | 3 | EricRemmerswaal/tensorflow | tensorflow/core/ops/mkl_array_ops.cc | [
"Apache-2.0"
] |
include "c.grm"
#pragma -width 32726
redefine program
[compilation_unit]
| [function_definition_or_declaration]
| [function_definition]
| [struct_or_union_specifier]
| [struct_or_union_body]
| [block]
end define
| TXL | 2 | pseudoPixels/SourceFlow | txl_features/txl_features/c/CFragmentGrammar.txl | [
"MIT"
] |
<div class="carousel-indicators">
<button
type="button"
data-bs-target="#{{id}}"
data-bs-slide-to="0"
class="active"
aria-current="true"
aria-label="Slide 1"
></button>
<button
type="button"
data-bs-target="#{{id}}"
data-bs-slide-to="1"
aria-label="Slide 2"
></button>
<button
type="button"
data-bs-target="#{{id}}"
data-bs-slide-to="2"
aria-label="Slide 3"
></button>
</div> | HTML+Django | 2 | asahiocean/joplin | Assets/WebsiteAssets/templates/partials/pressCarouselButtons.mustache | [
"MIT"
] |
<?xml version="1.0" encoding="UTF-8"?>
<faces-config>
<faces-config-extension>
<namespace-uri>http://www.ibm.com/xsp/custom</namespace-uri>
<default-prefix>xc</default-prefix>
</faces-config-extension>
<composite-component>
<component-type>actionManager</component-type>
<composite-name>actionManager</composite-name>
<composite-file>/actionManager.xsp</composite-file>
<composite-extension>
<designer-extension>
<in-palette>true</in-palette>
</designer-extension>
</composite-extension>
<property-type>
<property-name>actions</property-name>
<property>
<property-name>selectedImage</property-name>
<property-class>string</property-class>
<property-extension>
<designer-extension>
<editor>com.ibm.workplace.designer.property.editors.ImagePicker</editor>
</designer-extension>
<required>true</required>
</property-extension>
</property>
<property>
<property-name>deselectedImage</property-name>
<property-class>string</property-class>
<property-extension>
<designer-extension>
<editor>com.ibm.workplace.designer.property.editors.ImagePicker</editor>
</designer-extension>
<required>true</required>
</property-extension>
</property>
<property>
<property-name>selectedValue</property-name>
<property-class>string</property-class>
<property-extension>
<required>true</required>
</property-extension>
</property>
<property-extension>
<container-class>java.util.Collection</container-class>
<collection-property>true</collection-property>
</property-extension>
<property>
<property-name>imageAlt</property-name>
<property-class>string</property-class>
<property-extension>
<required>true</required>
</property-extension>
</property>
<property-type>
<property-name>params</property-name>
<property>
<property-name>name</property-name>
<property-class>string</property-class>
</property>
<property>
<property-name>value</property-name>
<property-class>string</property-class>
</property>
<property-extension>
<container-class>java.util.Collection</container-class>
<collection-property>true</collection-property>
</property-extension>
</property-type>
</property-type>
<property>
<property-name>refreshId</property-name>
<property-class>string</property-class>
<property-extension>
<required>false</required>
</property-extension>
<description>Must be the id of a parent of this action group</description>
</property>
<property>
<property-name>actionGroupName</property-name>
<property-class>string</property-class>
<property-extension>
<required>true</required>
</property-extension>
<description>Unique name for this group of actions</description>
</property>
<property>
<property-name>padActions</property-name>
<property-class>boolean</property-class>
<property-extension>
<designer-extension>
<editor>com.ibm.std.Boolean</editor>
<default-value>true</default-value>
</designer-extension>
<required>true</required>
</property-extension>
<description>Provides a 4px padding space between action images</description>
</property>
<property>
<property-name>defaultSelectedValue</property-name>
<property-class>string</property-class>
<description>The default selected action value</description>
<property-extension>
<required>true</required>
</property-extension>
</property>
<property>
<property-name>dynamicContentId</property-name>
<property-class>string</property-class>
</property>
<property>
<property-name>displayLabel</property-name>
<property-class>boolean</property-class>
<property-extension>
<designer-extension>
<editor>com.ibm.std.Boolean</editor>
<default-value>false</default-value>
</designer-extension>
</property-extension>
</property>
<property>
<property-name>labelText</property-name>
<property-class>string</property-class>
<property-extension>
<localizable>true</localizable>
<designer-extension>
<editor>com.ibm.std.String</editor>
</designer-extension>
</property-extension>
</property>
</composite-component>
</faces-config>
| XPages | 4 | jesse-gallagher/XPagesExtensionLibrary | extlib/lwp/product/nsf/Teamroom/CustomControls/actionManager.xsp-config | [
"Apache-2.0"
] |
= Documentation for Audit Logging Feature
The audit logging feature adds audit logging of rodauth actions to a
database table. It ties into the after hook processing used by all
features so that all features that use after hooks automatically
support audit logging.
In addition to the configuration methods defined below, the audit
logging feature also offers two additional configuration methods
for action specific audit log messages and metadata,
+audit_log_message_for+ and +audit_log_metadata_for+. These
methods take the action symbol and either take a value or a
block that returns a value to use for the message and metadata
for that action:
audit_log_message_for :login, "I have logged in"
audit_log_metadata_for :logout, 'Uses'=>'JSON Metadata'
audit_log_message_for :login_failure do
"Login failure on domain #{request.host}"
end
audit_log_metadata_for :login_failure do
{'ip'=>request.ip}
end
To skip audit logging for a particular action, you can set the
log message for the action to nil.
== Auth Value Methods
audit_logging_account_id_column :: The id column in the +audit_logging_table+, should be a foreign key referencing the accounts table.
audit_logging_message_column :: The message column in the +audit_logging_table+, containing the log message.
audit_logging_metadata_column :: The metadata column in the +audit_logging_table+, storing metadata for the log (if any).
audit_logging_table :: The name of the audit logging table.
audit_log_metadata_default :: The default metadata to use for logs that do not have custom metadata specified by +audit_log_metadata_for+.
== Auth Methods
add_audit_log(account_id, action) :: Add an appropriate audit log entry for the account id and action.
audit_log_insert_hash(account_id, action) :: A hash to use when inserting into the +audit_logging_table+.
audit_log_message(action) :: The log message to use when logging the action, by default using +audit_log_message_for+ and +audit_log_message_default+.
audit_log_message_default(action) :: The log message to use when logging the action for logs that do not have custom metadata specified by +audit_log_message_for+
audit_log_metadata(action) :: The metadata to use when logging the action, by default using +audit_log_metadata_for+ and +audit_log_metadata_default+.
serialize_audit_log_metadata(metadata) :: Serialize the metadata for insertion into the database. By default, this converts the metadata using +to_json+, unless the metadata is nil.
| RDoc | 5 | monorkin/rodauth | doc/audit_logging.rdoc | [
"MIT"
] |
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| Mathematica | 4 | kvmanohar22/gtsam | doc/Mathematica/Rot3.nb | [
"BSD-3-Clause"
] |
# 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.
# ==============================================================================
import functools
from absl.testing import parameterized
import numpy as np
import tensorflow.compat.v2 as tf
def _jvp(f, primals, tangents):
"""Compute the jacobian of `f` at `primals` multiplied by `tangents`."""
with tf.autodiff.ForwardAccumulator(primals, tangents) as acc:
primals_out = f(*primals)
return primals_out, acc.jvp(
primals_out, unconnected_gradients=tf.UnconnectedGradients.ZERO)
def _jacfwd(f, primals):
"""Compute the jacobian of `f` at `primals` using forward-mode autodiff."""
jac_flat = []
flat_primals = tf.nest.flatten(primals)
tangent_mask = [tf.zeros_like(primal) for primal in flat_primals]
for primal_index, primal in enumerate(flat_primals):
primal_vector = tf.reshape(primal, [-1])
primal_vector_length = tf.size(primal_vector)
jac_columns = []
for element_index in tf.range(primal_vector_length):
mask = tf.one_hot(element_index, primal_vector_length)
tangent_mask[primal_index] = tf.reshape(mask, tf.shape(primal))
jac_columns.append(
tf.nest.map_structure(
functools.partial(tf.reshape, shape=[-1]),
_jvp(f, primals, tf.nest.pack_sequence_as(primals,
tangent_mask))[1]))
jac_flat.append(tf.stack(jac_columns, axis=1))
tangent_mask[primal_index] = tf.zeros_like(primal)
return tf.nest.pack_sequence_as(primals, jac_flat)
def _grad(f, argnums=0):
"""Return a function which computes the gradient of `f`."""
def _f(*params):
with tf.GradientTape() as tape:
tape.watch(params)
primals_out = f(*params)
return tape.gradient(
primals_out,
params[argnums],
unconnected_gradients=tf.UnconnectedGradients.ZERO)
return _f
def _hvp(f, primals, tangents):
"""Compute a forward-over-back Hessian-vector product."""
with tf.autodiff.ForwardAccumulator(primals, tangents) as acc:
with tf.GradientTape() as tape:
tape.watch(primals)
f_out = f(*primals)
f_out.shape.assert_is_compatible_with([])
return acc.jvp(tape.gradient(f_out, primals))
def _vectorize_parameters(f, params, use_pfor, dtype):
"""Loop over `params`, providing a one-hot mask to `f` for each."""
parameter_sizes = [tf.size(param) for param in params]
total_size = tf.math.add_n(parameter_sizes)
def _wrapper(index):
full_onehot = tf.one_hot(index, total_size)
split_onehot = tf.split(full_onehot, parameter_sizes)
tangents = [
tf.reshape(v, tf.shape(param))
for param, v in zip(params, split_onehot)
]
return f(tangents)
if use_pfor:
return tf.vectorized_map(_wrapper, tf.range(total_size))
else:
return tf.map_fn(_wrapper, tf.range(total_size), dtype)
def _forward_over_back_hessian(f, params, use_pfor, dtype=None):
"""Computes the full Hessian matrix for the scalar-valued f(*params).
Args:
f: A function taking `params` and returning a scalar.
params: A possibly nested structure of tensors.
use_pfor: If true, uses `tf.vectorized_map` calls instead of looping.
dtype: Required if `use_pfor=False`. A possibly nested structure of dtypes
(e.g. `tf.float32`) matching the structure of `f`'s returns.
Returns:
A possibly nested structure of matrix slices corresponding to `params`. Each
slice has shape [P, p_s] where `p_s` is the number of parameters (`tf.size`)
in the corresponding element of `params` and `P` is the total number of
parameters (`sum_s(p_s)`). The full matrix can be obtained by concatenating
along the second axis.
"""
return _vectorize_parameters(
functools.partial(_hvp, f, params),
params,
use_pfor=use_pfor,
dtype=dtype)
def _test_gradients(testcase,
f,
primals,
order,
delta=1e-3,
rtol=1e-2,
atol=1e-6):
"""Tests forward/backward jacobians of `f`'s [0, `order`)-order gradients."""
if order < 1:
raise ValueError(
"`order` should be a positive integer, got '{}'.".format(order))
if order > 1:
_test_gradients(
testcase=testcase,
f=_grad(f),
primals=primals,
order=order - 1,
delta=delta,
rtol=rtol,
atol=atol)
sym_jac_back, num_jac = tf.test.compute_gradient(f, primals, delta=delta)
testcase.assertAllClose(num_jac, sym_jac_back, rtol=rtol, atol=atol)
sym_jac_fwd = _jacfwd(f, primals)
testcase.assertAllClose(num_jac, sym_jac_fwd, rtol=rtol, atol=atol)
# And the symbolic computations should be much closer.
testcase.assertAllClose(sym_jac_back, sym_jac_fwd)
class ForwardpropTest(tf.test.TestCase, parameterized.TestCase):
@parameterized.named_parameters([
("Dense", [[0.1]], functools.partial(tf.keras.layers.Dense, 5)),
("Conv2D",
np.reshape(
np.arange(start=-1., stop=1., step=2. / (1 * 2 * 4 * 4)),
[1, 2, 4, 4]), functools.partial(tf.keras.layers.Conv2D, 2, 2), 1e-3)
])
def testKerasLayers(self, value, op_fn, atol=1e-6):
layer = op_fn()
input_value = tf.constant(value, dtype=tf.float32)
layer.build(input_value.shape)
# Make sure the test is deterministic by avoiding random variable
# initialization.
for v in layer.trainable_variables:
v.assign(
tf.reshape(
tf.range(
-1.,
1.,
2. / tf.size(v, out_type=tf.float32),
dtype=tf.float32), v.shape))
_test_gradients(
self,
layer,
[input_value],
atol=atol,
# These are linear, so second-order is pretty boring.
order=2)
@parameterized.named_parameters([
("NonFused", [[0.1], [0.2], [-0.3]],
functools.partial(tf.keras.layers.BatchNormalization, fused=False)),
("Fused", [[[[0.1, 2.]]], [[[0.2, -3.]]], [[[-0.3, 4.]]]],
functools.partial(tf.keras.layers.BatchNormalization, fused=True))
])
def testBatchNorm(self, value, op_fn):
for training in [True, False]:
layer = op_fn()
input_value = tf.constant(value, dtype=tf.float32)
layer.build(input_value.shape)
_test_gradients(
self,
functools.partial(layer, training=training), [input_value],
order=2,
atol=1e-3)
@parameterized.named_parameters([
("NonFused", [[0.1], [0.2], [-0.3]],
functools.partial(tf.keras.layers.BatchNormalization, fused=False)),
("Fused", [[[[0.1, 2.]]], [[[0.2, -3.]]], [[[-0.3, 4.]]]],
functools.partial(tf.keras.layers.BatchNormalization, fused=True))
])
def testBatchNormLayerParamGrads(self, value, op_fn):
for training in [True, False]:
layer = op_fn()
with tf.GradientTape() as tape:
input_value = tf.constant(value, dtype=tf.float32)
tape.watch(input_value)
output = layer(input_value, training=training)
jac_back = tape.jacobian(output,
[input_value] + layer.trainable_variables)
jac_forward = _jacfwd(
lambda *args: layer(args[0], training=training), # pylint:disable=cell-var-from-loop
[input_value] + layer.trainable_variables)
for backward, forward in zip(jac_back, jac_forward):
forward = tf.reshape(forward, tf.shape(backward))
self.assertAllClose(backward, forward)
@parameterized.named_parameters([("Function", tf.function),
("NoFunction", lambda f: f)])
def testVariablesHVP(self, decorator):
class _Model(tf.Module):
def __init__(self):
self._first_dense = tf.keras.layers.Dense(18)
self._conv = tf.keras.layers.Conv2D(2, 2)
self._norm = tf.keras.layers.BatchNormalization()
self._second_dense = tf.keras.layers.Dense(1)
def __call__(self, x):
x = self._first_dense(x)
x = tf.nn.relu(x)
x = self._norm(x)
x = tf.nn.relu(self._conv(tf.reshape(x, [-1, 2, 3, 3])))
return self._second_dense(x)
model = _Model()
def _loss():
input_value = tf.constant([[-0.5, 1.], [0.5, -1.]])
target = tf.constant([[-1.], [2.]])
return tf.math.reduce_sum((model(input_value) - target)**2.)
@decorator
def _compute_hvps():
with tf.GradientTape() as tape:
loss = _loss()
vector = tape.gradient(loss, model.trainable_variables)
variable_input_fn = lambda unused_variables: _loss()
forward_over_back_hvp, = _hvp(variable_input_fn,
[model.trainable_variables], [vector])
with tf.GradientTape(persistent=True) as tape:
tape.watch(model.trainable_variables)
loss = _loss()
first_grads = tape.gradient(loss, model.trainable_variables)
back_over_back_hvp = tape.gradient(
first_grads, model.trainable_variables, output_gradients=vector)
return forward_over_back_hvp, back_over_back_hvp
self.assertAllClose(*_compute_hvps(), rtol=1e-5, atol=1e-5)
def testEmbeddingLayerInFunction(self):
class M(tf.keras.Model):
def __init__(self):
super(M, self).__init__()
self.embed = tf.keras.layers.Embedding(5, 1)
self.proj = tf.keras.layers.Dense(1)
@tf.function
def call(self, x):
return self.proj(self.embed(x))
model = M()
model(tf.zeros([3, 3], dtype=tf.int32)) # pylint: disable=not-callable
parameters = model.embed.variables
tangents = [tf.ones_like(v) for v in parameters]
with tf.autodiff.ForwardAccumulator(parameters, tangents):
# Note that forwardprop runs alongside the original computation. This test
# is just checking that it doesn't crash; correctness is tested in core
# TF.
model(tf.zeros([3, 3], dtype=tf.int32)) # pylint: disable=not-callable
class HessianTests(tf.test.TestCase, parameterized.TestCase):
@parameterized.named_parameters([("PFor", True), ("MapFn", False)])
def testHessianOfVariables(self, use_pfor):
model = tf.keras.layers.Dense(1)
model.build([None, 2])
def _loss(*unused_args):
input_value = tf.constant([[-0.5, 1.], [0.5, -1.]])
target = tf.constant([[-1.], [2.]])
return tf.math.reduce_sum((model(input_value) - target)**2.)
kernel_hess, bias_hess = _forward_over_back_hessian(
_loss, [model.kernel, model.bias],
use_pfor=use_pfor,
dtype=[tf.float32, tf.float32])
# 3 total parameters, the whole hessian is the 3x3 concatenation
self.assertEqual([3, 2, 1], kernel_hess.shape)
self.assertEqual([3, 1], bias_hess.shape)
full_hessian = tf.concat([tf.reshape(kernel_hess, [3, 2]), bias_hess],
axis=1)
# The full Hessian should be symmetric.
self.assertAllClose(full_hessian, tf.transpose(full_hessian))
if __name__ == "__main__":
if tf.__internal__.tf2.enabled():
tf.test.main()
| Python | 5 | tsheaff/keras | keras/integration_test/forwardprop_test.py | [
"Apache-2.0"
] |
---
layout: ami
permalink: settings/
---
<div class="section">
<h2 class="title">Choose an AMI password</h2>
<div class="steps">
<p class="complete">Create a self-signed certificate</p>
<p class="step-two">Choose a password for the AMI</p>
<p class="step-three">Initialize the AMI</p>
</div>
<div class="step-content step-two">
<form name="form" method="POST" action="/action/set_password" onsubmit="return validate()">
<p>Please enter the ID of this EC2 instance to confirm your identity.</p>
<div class="infobox infobox-error" style="display:none" id="wrong_instance_id">
Please enter the correct instance ID.
</div>
<p><label for="password">Instance ID:</label> <input type="text" name="instanceid" id="instanceid" /></p>
<p>Please chose a password to initialize the AMI. This password will be used to access the web UI and as an authentication key for client drivers.</p>
<p><label for="password">Choose a password:</label> <input type="password" name="password" id="password" /></p>
<p><label for="password2">Repeat password:</label> <input type="password" name="password2" id="password2" /></p>
<!--
<p>If you want this instance to connect to an existing cluster, enter one or more host:port values here, separated by spaces. Otherwise leave this field blank.</p>
<p><label for="join">Connect to cluster:</label> <input type="text" name="join" id="join" /></p>
-->
<button id="submit-password" class="btn" type="submit">Set up AMI →</button>
</form>
{% include ami-docs.html %}
</div>
</div>
<script>
function validate(){
var f = document.forms["form"];
if(f["password"].value != f["password2"].value){
alert("The passwords don't match.");
return false;
}
}
if (location.search === '?wrong_instance_id') {
var div = document.getElementById('wrong_instance_id');
div.style.display = 'block';
}
</script>
| HTML | 4 | zadcha/rethinkdb | packaging/ami/static-web-jekyll/settings.html | [
"Apache-2.0"
] |
<h4>{{title}}</h4>
<ul>
{{#people}}
<li>{{name}}</li>
{{/people}}
</ul>
| mupad | 3 | royriojas/buildfirst | ch07/04_backbone-collections/app/views/templates/sampleView.mu | [
"MIT"
] |
#include <metal_stdlib>
#include <simd/simd.h>
using namespace metal;
struct Uniforms {
half4 colorGreen;
half4 colorRed;
};
struct Inputs {
};
struct Outputs {
half4 sk_FragColor [[color(0)]];
};
thread bool operator==(const half2x2 left, const half2x2 right);
thread bool operator!=(const half2x2 left, const half2x2 right);
thread bool operator==(const half3x3 left, const half3x3 right);
thread bool operator!=(const half3x3 left, const half3x3 right);
thread bool operator==(const half4x4 left, const half4x4 right);
thread bool operator!=(const half4x4 left, const half4x4 right);
thread bool operator==(const half2x2 left, const half2x2 right) {
return all(left[0] == right[0]) &&
all(left[1] == right[1]);
}
thread bool operator!=(const half2x2 left, const half2x2 right) {
return !(left == right);
}
thread bool operator==(const half3x3 left, const half3x3 right) {
return all(left[0] == right[0]) &&
all(left[1] == right[1]) &&
all(left[2] == right[2]);
}
thread bool operator!=(const half3x3 left, const half3x3 right) {
return !(left == right);
}
thread bool operator==(const half4x4 left, const half4x4 right) {
return all(left[0] == right[0]) &&
all(left[1] == right[1]) &&
all(left[2] == right[2]) &&
all(left[3] == right[3]);
}
thread bool operator!=(const half4x4 left, const half4x4 right) {
return !(left == right);
}
template <typename T>
matrix<T, 3, 3> mat3_inverse(matrix<T, 3, 3> m) {
T a00 = m[0][0], a01 = m[0][1], a02 = m[0][2];
T a10 = m[1][0], a11 = m[1][1], a12 = m[1][2];
T a20 = m[2][0], a21 = m[2][1], a22 = m[2][2];
T b01 = a22*a11 - a12*a21;
T b11 = -a22*a10 + a12*a20;
T b21 = a21*a10 - a11*a20;
T det = a00*b01 + a01*b11 + a02*b21;
return matrix<T, 3, 3>(b01, (-a22*a01 + a02*a21), ( a12*a01 - a02*a11),
b11, ( a22*a00 - a02*a20), (-a12*a00 + a02*a10),
b21, (-a21*a00 + a01*a20), ( a11*a00 - a01*a10)) * (1/det);
}
fragment Outputs fragmentMain(Inputs _in [[stage_in]], constant Uniforms& _uniforms [[buffer(0)]], bool _frontFacing [[front_facing]], float4 _fragCoord [[position]]) {
Outputs _out;
(void)_out;
half2x2 inv2x2 = half2x2(half2(-2.0h, 1.0h), half2(1.5h, -0.5h));
half3x3 inv3x3 = half3x3(half3(-24.0h, 18.0h, 5.0h), half3(20.0h, -15.0h, -4.0h), half3(-5.0h, 4.0h, 1.0h));
half4x4 inv4x4 = half4x4(half4(-2.0h, -0.5h, 1.0h, 0.5h), half4(1.0h, 0.5h, 0.0h, -0.5h), half4(-8.0h, -1.0h, 2.0h, 2.0h), half4(3.0h, 0.5h, -1.0h, -0.5h));
_out.sk_FragColor = ((half2x2(half2(-2.0h, 1.0h), half2(1.5h, -0.5h)) == inv2x2 && half3x3(half3(-24.0h, 18.0h, 5.0h), half3(20.0h, -15.0h, -4.0h), half3(-5.0h, 4.0h, 1.0h)) == inv3x3) && half4x4(half4(-2.0h, -0.5h, 1.0h, 0.5h), half4(1.0h, 0.5h, 0.0h, -0.5h), half4(-8.0h, -1.0h, 2.0h, 2.0h), half4(3.0h, 0.5h, -1.0h, -0.5h)) == inv4x4) && mat3_inverse(half3x3(half3(1.0h, 2.0h, 3.0h), half3(4.0h, 5.0h, 6.0h), half3(7.0h, 8.0h, 9.0h))) != inv3x3 ? _uniforms.colorGreen : _uniforms.colorRed;
return _out;
}
| Metal | 4 | fourgrad/skia | tests/sksl/intrinsics/Inverse.metal | [
"BSD-3-Clause"
] |
$TTL 3H
@ IN SOA @ wj19840501.gmail.com. (
0 ; serial
1D ; refresh
1H ; retry
1W ; expire
3H ; minimum
)
@ IN NS dns
dns IN A 192.168.84.254
www IN A 1.1.1.4
www IN A 1.1.1.5
www IN A 1.1.1.6
| DNS Zone | 3 | 1443213244/small-package | luci-app-nginx-pingos/modules/nginx-toolkit-module/t/test1.com.zone | [
"Apache-2.0"
] |
LOGIC(A,B)
WRITE !,A," AND ",B," IS ",A&B
WRITE !,A," OR ",B," IS ",A!B
WRITE !,"NOT ",A," AND ",B," IS ",'(A)&B
WRITE !,"NOT ",A," OR ",B," IS ",'(A)!B
| M | 3 | LaudateCorpus1/RosettaCodeData | Task/Logical-operations/MUMPS/logical-operations.mumps | [
"Info-ZIP"
] |
// @strict: true
interface Square {
["dash-ok"]: "square";
["square-size"]: number;
}
interface Rectangle {
["dash-ok"]: "rectangle";
width: number;
height: number;
}
interface Circle {
["dash-ok"]: "circle";
radius: number;
}
type Shape = Square | Rectangle | Circle;
interface Subshape {
"0": {
sub: {
under: {
shape: Shape;
}
}
}
}
function area(s: Shape): number {
switch(s['dash-ok']) {
case "square": return s['square-size'] * s['square-size'];
case "rectangle": return s.width * s['height'];
case "circle": return Math.PI * s['radius'] * s.radius;
}
}
function subarea(s: Subshape): number {
switch(s[0]["sub"].under["shape"]["dash-ok"]) {
case "square": return s[0].sub.under.shape["square-size"] * s[0].sub.under.shape["square-size"];
case "rectangle": return s[0]["sub"]["under"]["shape"]["width"] * s[0]["sub"]["under"]["shape"].height;
case "circle": return Math.PI * s[0].sub.under["shape"].radius * s[0]["sub"].under.shape["radius"];
}
}
interface X {
0: "xx",
1: number
}
interface Y {
0: "yy",
1: string
}
type A = ["aa", number];
type B = ["bb", string];
type Z = X | Y;
type C = A | B;
function check(z: Z, c: C) {
z[0] // fine, typescript sees "xx" | "yy"
switch (z[0]) {
case "xx":
var xx: number = z[1] // should be number
break;
case "yy":
var yy: string = z[1] // should be string
break;
}
c[0] // fine, typescript sees "xx" | "yy"
switch (c[0]) {
case "aa":
var aa: number = c[1] // should be number
break;
case "bb":
var bb: string = c[1] // should be string
break;
}
}
export function g(pair: [number, string?]): string {
return pair[1] ? pair[1] : 'nope';
}
| TypeScript | 3 | nilamjadhav/TypeScript | tests/cases/compiler/typeGuardNarrowsIndexedAccessOfKnownProperty.ts | [
"Apache-2.0"
] |
#include <ATen/ATen.h>
#include <ATen/native/cuda/SortingCommon.cuh>
#include <ATen/cuda/ThrustAllocator.h>
#include <thrust/device_ptr.h>
#include <thrust/execution_policy.h>
#include <thrust/sort.h>
#include <thrust/unique.h>
#include <thrust/device_ptr.h>
namespace at { namespace native {
void index_put_with_sort_kernel_thrust_helper(Tensor &linearIndex, Tensor &orig_indices, Tensor &sorted_indices, int64_t num_indices) {
sorted_indices.copy_(linearIndex);
const cudaStream_t stream = at::cuda::getCurrentCUDAStream();
at::cuda::ThrustAllocator allocator;
auto policy = thrust::cuda::par(allocator).on(stream);
using device_ptr = thrust::device_ptr<int64_t>;
// Fill sortedOrigIndices with sequential indices
const auto count_iter = thrust::counting_iterator<int64_t>(0);
auto orig_data = device_ptr(orig_indices.data_ptr<int64_t>());
thrust::copy(policy, count_iter, count_iter + num_indices, orig_data);
// Sort the inputs into sorted with the corresponding indices; we
// don't need a stable or multidimensional sort, so just use Thrust
// directly
// Sort; a stable sort is not required
// NB - not passing comparator causes thrust to use radix sort, and it hurts perf A LOT, at least for medium (few K) sized indices
auto sorted_data = device_ptr(sorted_indices.data_ptr<int64_t>());
thrust::sort_by_key(policy, sorted_data, sorted_data + num_indices, orig_data, LTOp<int64_t>());
}
template<typename index_t>
void embedding_dense_backward_cuda_scan(Tensor &sorted_indices, Tensor &count) {
using device_ptr = thrust::device_ptr<index_t>;
cudaStream_t stream = at::cuda::getCurrentCUDAStream();
at::cuda::ThrustAllocator allocator;
auto policy = thrust::cuda::par(allocator).on(stream);
auto num_indices = count.numel();
// Compute an increasing sequence per unique item in sortedIndices:
// sorted: 2 5 5 5 7 7 8 9 9
// count: 1 1 2 3 1 2 1 1 2
auto sorted_data = device_ptr(sorted_indices.data_ptr<index_t>());
auto count_data = device_ptr(count.data_ptr<index_t>());
thrust::inclusive_scan_by_key(
policy,
sorted_data,
sorted_data + num_indices,
thrust::make_constant_iterator(1),
count_data
);
// Take the maximum of each count per unique key in reverse:
// sorted: 2 5 5 5 7 7 8 9 9
// count: 1 3 3 3 2 2 1 2 2
thrust::inclusive_scan_by_key(
policy,
thrust::make_reverse_iterator(sorted_data + num_indices),
thrust::make_reverse_iterator(sorted_data),
thrust::make_reverse_iterator(count_data + num_indices),
thrust::make_reverse_iterator(count_data + num_indices),
thrust::equal_to<index_t>(),
thrust::maximum<index_t>()
);
}
template
void embedding_dense_backward_cuda_scan<int>(Tensor &sorted_indices, Tensor &count);
template
void embedding_dense_backward_cuda_scan<int64_t>(Tensor &sorted_indices, Tensor &count);
template<typename index_t>
int64_t embedding_backward_cuda_kernel_unique_by_key(const Tensor &sorted_indices, Tensor &segment_offsets) {
auto stream = at::cuda::getCurrentCUDAStream();
at::cuda::ThrustAllocator allocator;
auto policy = thrust::cuda::par(allocator).on(stream);
const ptrdiff_t numel = sorted_indices.numel();
auto sorted_indices_dev = thrust::device_ptr<index_t>(sorted_indices.data_ptr<index_t>());
auto dummy = at::empty_like(sorted_indices, LEGACY_CONTIGUOUS_MEMORY_FORMAT);
auto dummy_dev = thrust::device_ptr<index_t>(dummy.data_ptr<index_t>());
auto ends = thrust::unique_by_key_copy(
policy,
sorted_indices_dev,
sorted_indices_dev + numel,
thrust::make_counting_iterator(0),
dummy_dev,
thrust::device_ptr<index_t>(segment_offsets.data_ptr<index_t>()));
return thrust::get<0>(ends) - dummy_dev;
}
template
int64_t embedding_backward_cuda_kernel_unique_by_key<int>(const Tensor &sorted_indices, Tensor &segment_offsets);
template
int64_t embedding_backward_cuda_kernel_unique_by_key<int64_t>(const Tensor &sorted_indices, Tensor &segment_offsets);
}}
| Cuda | 4 | xiaohanhuang/pytorch | aten/src/ATen/native/cuda/LegacyThrustHelpers.cu | [
"Intel"
] |
<%--
Copyright 2013 Netflix, 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.
--%>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
<meta name="layout" content="main"/>
<title>${hostedZone.name} Route53 Hosted Zone</title>
</head>
<body>
<div class="body">
<h1>Route53 Hosted Zone Details</h1>
<g:if test="${flash.message}">
<div class="message">${flash.message}</div>
</g:if>
<div class="buttons">
<g:form>
<input type="hidden" name="id" value="${hostedZone.id}"/>
<g:buttonSubmit class="delete" action="delete" value="Delete Hosted Zone" data-warning="${deletionWarning}"/>
</g:form>
</div>
<div>
<table>
<tbody>
<tr class="prop">
<td class="name">Hosted Zone ID:</td>
<td class="value">${hostedZone.id}</td>
</tr>
<tr class="prop">
<td class="name">Name:</td>
<td class="value">${hostedZone.name}</td>
</tr>
<tr class="prop">
<td class="name">Caller Reference:</td>
<td class="value">${hostedZone.callerReference}</td>
</tr>
<tr class="prop">
<td class="name">Comment:</td>
<td class="value">${hostedZone.config.comment}</td>
</tr>
<tr class="prop">
<td class="name">Resource Record Set Count:</td>
<td class="value">${hostedZone.resourceRecordSetCount}</td>
</tr>
<tr class="prop">
<td class="name" colspan="2">Resource Record Sets:</td>
</tr>
<tr class="prop">
<td class="value" colspan="2">
<g:if test="${resourceRecordSets}">
<div class="list">
<div class="buttons">
<g:link class="create" action="prepareResourceRecordSet" id="${hostedZone.id}">Create New Resource Record Set</g:link>
</div>
<table class="sortable subitems resourceRecordSets">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Resource Records</th>
<th>TTL</th>
<th>Region</th>
<th>Alias<br/>Target</th>
<th>Set<br/>ID</th>
<th>Weight</th>
<th>Failover</th>
<th>Health<br/>Check<br/>ID</th>
<th class="sorttable_nosort"></th>
</tr>
</thead>
<g:each var="resourceRecordSet" in="${resourceRecordSets}" status="i">
<tr class="${(i % 2) == 0 ? 'odd' : 'even'}">
<td>${resourceRecordSet.type}</td>
<td class="resourceRecordSetName">${resourceRecordSet.name}</td>
<td class="resourceRecords longValues">
<ul>
<g:each var="resourceRecord" in="${resourceRecordSet.resourceRecords}">
<li>${resourceRecord.value}</li>
</g:each>
</ul>
</td>
<td>${resourceRecordSet.TTL}</td>
<td>${resourceRecordSet.region}</td>
<td class="aliasTarget">${resourceRecordSet.aliasTarget?.dNSName}</td>
<td class="resourceRecordSetId">${resourceRecordSet.setIdentifier}</td>
<td>${resourceRecordSet.weight}</td>
<td>${resourceRecordSet.failover}</td>
<td>${resourceRecordSet.healthCheckId}</td>
<td class="buttons">
<g:form>
<%--
There seems to be no simple way to specify a distinct resource record set.
Every field must be specified in order to avoid deleting a similar but incorrect item.
--%>
<input type="hidden" name="hostedZoneId" value="${hostedZone.id}"/>
<input type="hidden" name="resourceRecordSetName" value="${resourceRecordSet.name}"/>
<input type="hidden" name="type" value="${resourceRecordSet.type}"/>
<input type="hidden" name="setIdentifier" value="${resourceRecordSet.setIdentifier ?: ''}"/>
<input type="hidden" name="weight" value="${resourceRecordSet.weight ?: ''}"/>
<input type="hidden" name="resourceRecordSetRegion" value="${resourceRecordSet.region ?: ''}"/>
<input type="hidden" name="failover" value="${resourceRecordSet.failover ?: ''}"/>
<input type="hidden" name="ttl" value="${resourceRecordSet.TTL ?: ''}"/>
<input type="hidden" name="resourceRecords" value="${resourceRecordSet.resourceRecords.collect { it.value }.join('\n') ?: ''}"/>
<input type="hidden" name="aliasTarget" value="${resourceRecordSet.aliasTarget?.dNSName ?: ''}"/>
<input type="hidden" name="healthCheckId" value="${resourceRecordSet.healthCheckId ?: ''}"/>
<g:buttonSubmit class="delete" action="removeResourceRecordSet" value="Remove"
data-warning="Really remove resource record set '${resourceRecordSet.name}'?"/>
</g:form>
</td>
</tr>
</g:each>
</table>
<footer/>
</div>
</g:if>
</td>
</tr>
</tbody>
</table>
</div>
</div>
</body>
</html>
| Groovy Server Pages | 4 | Threadless/asgard | grails-app/views/hostedZone/show.gsp | [
"Apache-2.0"
] |
sleep 1
t app button wifi PR
sleep 1
t app appmode video
sleep 1
t app button shutter PR
sleep X
t app button shutter PR
| AGS Script | 0 | waltersgrey/autoexechack | WiFiButtonMode/TurnOnWifiRecordXSecs/autoexec.ash | [
"MIT"
] |
/*
Custom Ouplan Post-Processor based on Stroom's OpenBuildsGRBL https://github.com/Strooom/GRBL-Post-Processor/wiki that in turn is based on the PP for http://openbuilds.com
This post-Processor was developed for a Ouplan 2515 with automatic tool change should work in other Ouplan Milling Machines
!THIS POST PROCESSOR IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND!
!USE IT WISELY AND AT YOUR OWN RISK!
Post Processor tuned for Ouplan 2515 for Lindo Serviço
By:X3msnake
27/DEC/2016 - V0.9 : Adaptation to Ouplan's G-Code Standard
- Add fastmoves override
- Add optional line numbers
- Add trim white space
- Add hasAutoTools (not working)
31/DEC/2016 - V1 : First working version, tested @ LS Ouplan 2515
06/JAN/2017 - Add force GMove Output Reset to forceAny function
- Add forceAnyFunction to onRapidMove to force full modal move and feed output after a rapid move
04/MAI/2017 - Fix WCS Vadidation, it now posts coordinates as G54 if the WCS if the user sets it out of range
12/MAI/2017 - Add option to disable ATC and override any tool number to T1
TODO:
- Add option to disable spindle rotation on export and alert user if the spindle is disabled
- Alert users with no ATC if more than one tool is trying to be exported in the same file
- Add options documentation
- CleanUp code
- Gather together all general functions
- Optimize Simplify and make core more readable
- Remove unused leftover references from GRBL
- Make PP config and use tutorial
*/
// TOC
// 1. START POST-PROCESSING (header)
// 1.1 is CAD file in same units as your machine configuration ?
// 1.2 is RadiusCompensation not set incorrectly ?
// 1.3 here you set all the properties of your machine, so they can be used later on
// 1.4 Write Program Settings in comment form
// 1.5 Write Tool blocks actions in comment form
// 1.6 Set machine to a known state
// 2. POST COMMENTS
// 3. FORCE PROGRAM G-CODE OUTPUT FUNCTIONS
// 4. POST SECTIONS
// 4.1 Validate and post CAM Set coordinate system
// 4.2 Move to set WCS zero
// 4.3 Load/Change Tool
// 4.4 Start Spindle
// 4.5 Wait for tool ready
// 4.6 Start Coolant (M7/M8) Mist/Flood (M9) Disable Coolant
// 4.7 forceXYZ
// 4.8 forceAny
// 4.9 Rapid Move to section Initial Position
// 5 OTHER FUNCTIONS
// 5.1 OnDwell
// 5.2 OnSpindleSpeed
// 5.3 onRadiusCompensation
// 5.4 onRapid
// 5.5 onLinear
// 5.6 onRapid5D
// 5.7 onLinear5D
// 5.8 onCircular
// 5.8 onSectionEnd
// 6 END POST-PROCESSING (footer)
description = "OuplanXYZ - W/ARCS";
vendor = "Ouplan";
vendorUrl = "";
model = "2515";
description = "OuplanXYZ - W/ARCS";
legal = "Copyright (C) 2012-2016 by Autodesk, Inc.";
certificationLevel = 2;
extension = "nc"; // file extension of the gcode file
setCodePage("ascii"); // character set of the gcode file
capabilities = CAPABILITY_MILLING; // intended for a CNC, so Milling
tolerance = spatial(0.05, MM); // (0.05mm) Ouplan's 2515 advertised accuracy - This is the accuracy used when converting curves into segments
minimumChordLength = spatial(0.01, MM);
minimumCircularRadius = spatial(0.01, MM);
maximumCircularRadius = spatial(1000, MM);
minimumCircularSweep = toRad(0.01);
maximumCircularSweep = toRad(180);
allowHelicalMoves = true;
allowedCircularPlanes = undefined;
var GRBLunits = MM; // set controller to mm (Metric). Allows for a consistency check between your machine settings and CAM file output
// var GRBLunits = IN; // set controller to inches (Imperial). Allows for a consistency check between your machine settings and CAM file output
// user-defined properties : defaults are set, but they can be changed from a dialog box in Fusion when doing a post.
properties =
{
spindleOnOffDelay: 0, // time (in seconds) the spindle needs to get up to speed or stop
spindleTwoDirections : false, // true : spindle can rotate clockwise and counterclockwise, will send M3 and M4. false : spindle can only go clockwise, will only send M3
hasAutomaticToolChange : true, // false: disables Tool Changes and Overrides any tool number to T01
hasCoolant : true, // true : machine uses the coolant output, M8 M9 will be sent. false : coolant output not connected, so no M8 M9 will be sent
// hasSpeedDial : false, // true : the spindle is of type Makite RT0700, Dewalt 611 with a Dial to set speeds 1-6. false : other spindle
machineHomeZ : 150, // absolute machine coordinates where the machine will move to at the end of the job - first retracting Z, then moving home X Y
machineHomeX : 20,
machineHomeY : 20,
useFastMoves : true, // false: G0 fast moves are replaced by G1 motion moves, usefull when testing to avoid crashing tools
trimWhiteSpaces: false, // true: compacts file by removing white spaces between commands
useLineNumbers: false, // false: removes line numbering from the posted code
sequenceNumberStart: 10, // first sequence number (used if useLinenumbers:true)
sequenceNumberIncrement: 10 // increment for sequence numbers (used if useLinenumbers:true)
};
// Set machine coordinates WCS number
var definedWCS = 53;
// creation of all kinds of G-code formats - controls the amount of decimals used in the generated G-Code
var nFormat = createFormat({prefix:"N", decimals:0}); // Used for line Number
var sequenceNumber = properties.sequenceNumberStart; // Set line counter
var gFormat = createFormat({prefix:"G", decimals:0}); // Used for motion and coordinate manipulation
var mFormat = createFormat({prefix:"M", decimals:0}); // Used for machine actions and activations
var tFormat = createFormat({prefix:"T", decimals:0}); // Used for tools
var xyzFormat = createFormat({decimals:(unit == MM ? 3 : 4)});
var feedFormat = createFormat({decimals:0});
var rpmFormat = createFormat({decimals:0});
var secFormat = createFormat({decimals:1, forceDecimal:true});
var taperFormat = createFormat({decimals:1, scale:DEG});
var xOutput = createVariable({prefix:"X"}, xyzFormat);
var yOutput = createVariable({prefix:"Y"}, xyzFormat);
var zOutput = createVariable({prefix:"Z"}, xyzFormat);
var feedOutput = createVariable({prefix:"F"}, feedFormat);
var sOutput = createVariable({prefix:"S", force:true}, rpmFormat);
var iOutput = createReferenceVariable({prefix:"I"}, xyzFormat);
var jOutput = createReferenceVariable({prefix:"J"}, xyzFormat);
var kOutput = createReferenceVariable({prefix:"K"}, xyzFormat);
var gMotionModal = createModal({}, gFormat); // modal group 1 // G0-G3, ...
var gPlaneModal = createModal({onchange:function () {gMotionModal.reset();}}, gFormat); // modal group 2 // G17-19
var gAbsIncModal = createModal({}, gFormat); // modal group 3 // G90-91
var gFeedModeModal = createModal({}, gFormat); // modal group 5 // G93-94
var gUnitModal = createModal({}, gFormat); // modal group 6 // G20-21
function toTitleCase(str)
{
// function to reformat a string to 'title case'
return str.replace(/\w\S*/g, function(txt){return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase();});
}
function rpm2dial(rpm)
{
// translates an RPM for the spindle into a dial value, eg for the Makita RT0700 and Dewalt 611 routers
// additionaly, check that spindle rpm is between minimun and maximum of what our spindle can do
// array which maps spindle speeds to router dial settings,
// according to Makita RT0700 Manual : 1=10000, 2=12000, 3=17000, 4=22000, 5=27000, 6=30000
var speeds = [0, 10000, 12000, 17000, 22000, 27000, 30000];
if (rpm < speeds[1])
{
alert("Warning", rpm + " rpm is below minimum spindle RPM of " + speeds[1] + " rpm");
return 1;
}
if (rpm > speeds[speeds.length - 1])
{
alert("Warning", rpm + " rpm is above maximum spindle RPM of " + speeds[speeds.length - 1] + " rpm");
return (speeds.length - 1);
}
var i;
for (i=1; i < (speeds.length-1); i++)
{
if ((rpm >= speeds[i]) && (rpm <= speeds[i+1]))
{
return ((rpm - speeds[i]) / (speeds[i+1] - speeds[i])) + i;
}
}
alert("Error", "Error in calculating router speed dial..");
error("Fatal Error calculating router speed dial");
return 0;
}
// Override Fusion Functions to assure correct formating o end of line carriage return/line feed
// As contributed by fonsecr on the forums: goo.gl/8Kog8l
function writeln(text)
{
write(text + "\r\n");
}
function writeWords()
{
writeln(formatWords(arguments));
}
function writeWords2()
{
writeln(formatWords(arguments));
}
// END override
function writeBlock()
{
if (properties.useLineNumbers)
{
writeWords2(nFormat.format(sequenceNumber % 100000), arguments);
sequenceNumber += properties.sequenceNumberIncrement;
} else
{
writeWords(arguments);
}
}
function writeComment(text)
{
// Normalize and Remove special characters from comments: $, !, ~, ?, (, )
// In order to make it simple, I replace everything which is not A-Z, 0-9, space, : , .
// Finally put everything between () as this is the way GRBL & UGCS expect comments
writeln("(" + String(text).replace(/[^a-zA-Z\d :=,.]+/g, " ") + ")");
}
// 1. START POST-PROCESSING (header)
function onOpen()
{
if (properties.trimWhiteSpaces)
{
setWordSeparator("");
}
// Number of checks capturing fatal errors
// 1.1 is CAD file in same units as our GRBL configuration ?
if (unit != GRBLunits)
{
if (GRBLunits == MM)
{
alert("Error", "your machine configured to mm - CAD file sends Inches! - Change units in CAD/CAM software to mm");
error("Fatal Error : units mismatch between CADfile and your machine setting");
}
else
{
alert("Error", "your machine configured to inches - CAD file sends mm! - Change units in CAD/CAM software to inches");
error("Fatal Error : units mismatch between CADfile and your machine setting");
}
}
// 1.2 is RadiusCompensation not set incorrectly ?
onRadiusCompensation();
// 1.3 here you set all the properties of your machine, so they can be used later on
var myMachine = getMachineConfiguration();
myMachine.setWidth(2700);
myMachine.setDepth(1580);
myMachine.setHeight(100);
myMachine.setMaximumSpindlePower(4500);
myMachine.setMaximumSpindleSpeed(24000);
myMachine.setMilling(true);
myMachine.setTurning(false);
myMachine.setToolChanger(true);
myMachine.setNumberOfTools(5);
myMachine.setNumberOfWorkOffsets(6);
myMachine.setVendor("Ouplan");
myMachine.setModel("2515");
myMachine.setControl("InoControl");
// 1.4 Write Program Settings in comment form
writeln("%");
writeln(":1248");
var productName = getProduct(); // var from the CAM software
writeComment("Made in : " + productName);
writeComment("G-Code optimized for " + myMachine.getVendor() + " " + myMachine.getModel() + " with " + myMachine.getControl() + " controller");
writeln("");
if (programName) // if set get var from the CAM software
{
writeComment("Program Name : " + programName);
}
if (programComment) // if set get var from the CAM software
{
writeComment("Program Comments : " + programComment);
}
// 1.5 Write Tool blocks actions in comment form
var numberOfSections = getNumberOfSections();
writeComment(numberOfSections + " Operation" + ((numberOfSections == 1)?"":"s") + " :");
for (var i = 0; i < numberOfSections; ++i)
{
var section = getSection(i);
var tool = section.getTool();
var rpm = section.getMaximumSpindleSpeed();
if (section.hasParameter("operation-comment"))
{
writeComment((i+1) + " : " + section.getParameter("operation-comment"));
}
else
{
writeComment(i+1);
}
writeComment(" Work Coordinate System : G" + (section.workOffset + 53));
writeComment(" Tool("+ tool.number +"):"+ toTitleCase(getToolTypeName(tool.type)) + " " + tool.numberOfFlutes + " Flutes, Diam = " + xyzFormat.format(tool.diameter) + "mm, Len = " + tool.fluteLength + "mm");
if (properties.hasSpeedDial)
{
writeComment(" Spindle : RPM = " + rpm + ", set router dial to " + rpm2dial(rpm));
}
else
{
writeComment(" Spindle : RPM = " + rpm);
}
var machineTimeInSeconds = section.getCycleTime();
var machineTimeHours = Math.floor(machineTimeInSeconds / 3600);
machineTimeInSeconds = machineTimeInSeconds % 3600;
var machineTimeMinutes = Math.floor(machineTimeInSeconds / 60);
var machineTimeSeconds = Math.floor(machineTimeInSeconds % 60);
var machineTimeText = " Machining time : ";
if (machineTimeHours > 0)
{
machineTimeText = machineTimeText + machineTimeHours + " hours " + machineTimeMinutes + " min ";
}
else if (machineTimeMinutes > 0)
{
machineTimeText = machineTimeText + machineTimeMinutes + " min ";
}
machineTimeText = machineTimeText + machineTimeSeconds + " sec";
writeComment(machineTimeText);
}
writeln("");
// 1.6 Set machine to a known state
// (M20/21) Set inches / mm
// (G94) Set Feed mm/min
// (G90) Set Absolute Coordinates
// (G17) Set Arc Plane XY
// (G40/G49) Disable tool radius and height offsets
// (G80) Disable canned cycles
var unit_modal
switch (unit)
{
case IN:
unit_modal = 20;
break;
case MM:
unit_modal = 21;
break;
}
writeBlock(gFeedModeModal.format(40), gPlaneModal.format(17),gFeedModeModal.format(80),gFeedModeModal.format(49),gFeedModeModal.format(unit_modal));
writeln("");
}
// 2. POST COMMENTS
function onComment(message)
{
writeComment(message);
}
// 3. FORCE PROGRAM G-CODE OUTPUT FUNCTIONS
function forceXYZ()
{
xOutput.reset();
yOutput.reset();
zOutput.reset();
}
function forceAny() // when called resets modal memory and forces next line posting of move type, coordinates and feed
{
gMotionModal.reset();
forceXYZ();
feedOutput.reset();
}
// 4. POST SECTIONS
function onSection()
{
var nmbrOfSections = getNumberOfSections(); // how many operations are there in total
var sectionId = getCurrentSectionId(); // what is the number of this operation (starts from 0)
var section = getSection(sectionId); // what is the section-object for this operation
// Insert a small comment section to identify the related G-Code in a large multi-operations file
var comment = "Operation " + (sectionId + 1) + " of " + nmbrOfSections;
if (hasParameter("operation-comment"))
{
comment = comment + " : " + getParameter("operation-comment");
}
writeComment(comment);
writeln("");
// 4.1 Validate and post CAM Set coordinate system
// Write the WCS, ie. G54 or higher in order to prevent using Machine Coordinates G53.
if (section.workOffset == 1 && isFirstSection())
{
definedWCS = 53 + section.workOffset;
alert("Warning","Warning!\n Coordinate system set as G"+ definedWCS +"!");
}
else if ((section.workOffset < 1) || (section.workOffset > 6) && isFirstSection())
{
definedWCS = 54; // If WCS is out of range, default to WCS1/G54
alert("Warning","Setup>Post_Process>WCS_Offset set as "+section.workOffset+"\nAllowed range is 1(G54) to 6(G59).\nDefaulting post coordinates to G"+ definedWCS +" for safety reasons!");
}
else if (section.workOffset > 1 && isFirstSection())
{
definedWCS = 53 + section.workOffset;
alert("Warning","Warning!\n Coordinate system set as G"+ definedWCS +"!");
// writeComment("MSG Coordenadas G"+ definedWCS +" em uso!"); // print msg to machine
// onDwell(5);
// writeComment("MSG"); // close message
// writeln("");
}
// 4.2 Move to set WCS zero
// To be safe (after jogging to whatever position), move the spindle up to a safe home position before going to the inital position
if(isFirstSection())
{
writeBlock(gAbsIncModal.format(90), gFormat.format(definedWCS)); // Change coordinate System
writeBlock(gFormat.format(properties.useFastMoves ? 0 : 1), xOutput.format(0),yOutput.format(0)); // Go to new coordinate System's XY 0
writeln("");
}
// 4.3 Load/Change Tool
// (T#) Select Operation Block Tool
// (M6) Automatic Load Tool
var tool = section.getTool();
// 4.4 Start Spindle
// (S#) Spindle RPM Speed
// (M3/M4) Start Spindle CW/CCW
var direction
if (tool.clockwise)
{
tool_direction = 3;
}
else if (properties.spindleTwoDirections)
{
tool_direction = 4;
}
else
{
alert("Error", "Counter-clockwise Spindle Operation found, but your spindle does not support this");
error("Fatal Error in Operation " + (sectionId + 1) + ": Counter-clockwise Spindle Operation found, but your spindle does not support this");
return;
}
// 4.5 Wait for tool ready
// Wait some time for spindle to speed up - only on first section, as spindle is not powered down in-between sections
if(isFirstSection())
{
onDwell(properties.spindleOnOffDelay); // This section only shows up on the post if delay property is set above 0
}
// 4.6 Start Coolant (M7/M8) Mist/Flood (M9) Disable Coolant
// If the machine has coolant, write M8 else M9 in our case it starts the table vacum
var table_vacum
if (properties.hasCoolant)
{
if (tool.coolant)
{
table_vacum = 8;
}
else
{
table_vacum = 9;
}
}
// If the user defines his machine as having no ATC > Set default tool to T1
if (properties.hasAutomaticToolChange)
{
var validateToolNumber = tool.number;
}
else
{
var validateToolNumber = 1;
}
if (isFirstSection()||(tool.number != getPreviousSection().getTool().number)) // Skipping posting instructions when the new operation is using the same tool number
{
writeBlock(tFormat.format(validateToolNumber), mFormat.format(6), mFormat.format(table_vacum), mFormat.format(tool_direction),sOutput.format(tool.spindleRPM));
}
// 4.7 forceXYZ
forceXYZ();
var remaining = currentSection.workPlane;
if (!isSameDirection(remaining.forward, new Vector(0, 0, 1)))
{
alert("Error", "Tool-Rotation detected - your machine ony supports 3 Axis");
error("Fatal Error in Operation " + (sectionId + 1) + ": Tool-Rotation detected but your machine ony supports 3 Axis");
}
setRotation(remaining);
// 4.8 forceAny
forceAny();
// 4.9 Rapid Move to section Initial Position
var initialPosition = getFramePosition(currentSection.getInitialPosition());
writeBlock(gFormat.format(properties.useFastMoves ? 0 : 1), xOutput.format(initialPosition.x), yOutput.format(initialPosition.y),zOutput.format(initialPosition.z));
}
// 5 OTHER FUNCTIONS
// 5.1 OnDwell
function onDwell(seconds)
{
if (seconds > 0 )
{
writeBlock(gFormat.format(4), "P" + secFormat.format(seconds));
}
}
// 5.2 OnSpindleSpeed
function onSpindleSpeed(spindleSpeed)
{
writeBlock(sOutput.format(spindleSpeed));
}
// 5.3 onRadiusCompensation
function onRadiusCompensation()
{
var radComp = getRadiusCompensation();
var sectionId = getCurrentSectionId();
if (radComp != RADIUS_COMPENSATION_OFF)
{
alert("Error", "RadiusCompensation is not supported in your machine - Change RadiusCompensation in CAD/CAM software to Off/Center/Computer");
error("Fatal Error in Operation " + (sectionId + 1) + ": RadiusCompensation is found in CAD file but is not supported in GRBL");
return;
}
}
// 5.4 onRapid
function onRapid(_x, _y, _z)
{
var x = xOutput.format(_x);
var y = yOutput.format(_y);
var z = zOutput.format(_z);
if (x || y || z)
{
writeBlock(gFormat.format(properties.useFastMoves ? 0 : 1), x, y, z);
forceAny();
}
}
// 5.5 onLinear
function onLinear(_x, _y, _z, feed)
{
var x = xOutput.format(_x);
var y = yOutput.format(_y);
var z = zOutput.format(_z);
var f = feedOutput.format(feed);
if (x || y || z)
{
writeBlock(gMotionModal.format(1), x, y, z, f);
}
else if (f)
{
if (getNextRecord().isMotion())
{
feedOutput.reset(); // force feed on next line
}
else
{
writeBlock(gMotionModal.format(1), f);
}
}
}
// 5.6 onRapid5D
function onRapid5D(_x, _y, _z, _a, _b, _c)
{
alert("Error", "Tool-Rotation detected - your machine ony supports 3 Axis");
error("Tool-Rotation detected but your machine ony supports 3 Axis");
}
// 5.7 onLinear5D
function onLinear5D(_x, _y, _z, _a, _b, _c, feed)
{
alert("Error", "Tool-Rotation detected - your machine ony supports 3 Axis");
error("Tool-Rotation detected but your machine ony supports 3 Axis");
}
// 5.8 onCircular
function onCircular(clockwise, cx, cy, cz, x, y, z, feed)
{
var start = getCurrentPosition();
if (isFullCircle())
{
if (isHelical())
{
linearize(tolerance);
return;
}
switch (getCircularPlane())
{
case PLANE_XY:
writeBlock(gPlaneModal.format(17), gMotionModal.format(clockwise ? 2 : 3), xOutput.format(x), iOutput.format(cx - start.x, 0), jOutput.format(cy - start.y, 0), feedOutput.format(feed));
break;
case PLANE_ZX:
writeBlock(gPlaneModal.format(18), gMotionModal.format(clockwise ? 2 : 3), zOutput.format(z), iOutput.format(cx - start.x, 0), kOutput.format(cz - start.z, 0), feedOutput.format(feed));
break;
case PLANE_YZ:
writeBlock(gPlaneModal.format(19), gMotionModal.format(clockwise ? 2 : 3), yOutput.format(y), jOutput.format(cy - start.y, 0), kOutput.format(cz - start.z, 0), feedOutput.format(feed));
break;
default:
linearize(tolerance);
}
}
else
{
switch (getCircularPlane())
{
case PLANE_XY:
writeBlock(gPlaneModal.format(17), gMotionModal.format(clockwise ? 2 : 3), xOutput.format(x), yOutput.format(y), zOutput.format(z), iOutput.format(cx - start.x, 0), jOutput.format(cy - start.y, 0), feedOutput.format(feed));
break;
case PLANE_ZX:
writeBlock(gPlaneModal.format(18), gMotionModal.format(clockwise ? 2 : 3), xOutput.format(x), yOutput.format(y), zOutput.format(z), iOutput.format(cx - start.x, 0), kOutput.format(cz - start.z, 0), feedOutput.format(feed));
break;
case PLANE_YZ:
writeBlock(gPlaneModal.format(19), gMotionModal.format(clockwise ? 2 : 3), xOutput.format(x), yOutput.format(y), zOutput.format(z), jOutput.format(cy - start.y, 0), kOutput.format(cz - start.z, 0), feedOutput.format(feed));
break;
default:
linearize(tolerance);
}
}
}
// 5.8 onSectionEnd
function onSectionEnd()
{
// writeBlock(gPlaneModal.format(17));
forceAny();
writeln("");
}
// 6 END POST-PROCESSING (footer)
function onClose()
{
if (properties.hasCoolant)
{
writeBlock(mFormat.format(9)); // Stop Coolant
}
writeBlock(gFormat.format(53), gFormat.format(properties.useFastMoves ? 0 : 1), "Z" + xyzFormat.format(properties.machineHomeZ)); // Retract spindle to Machine Z Home // Stop Spindle
onDwell(properties.spindleOnOffDelay); // Wait for spindle to stop
writeBlock(gFormat.format(53), gFormat.format(properties.useFastMoves ? 0 : 1), "X" + xyzFormat.format(properties.machineHomeX), "Y" + xyzFormat.format(properties.machineHomeY)); // Return to home position
writeBlock(mFormat.format(30)); // Program End
writeln("%"); // Punch-Tape End
}
| Component Pascal | 5 | X3msnake/Ouplan-CNC-Fusion-360-Post-Processor | ouplan.cps | [
"Apache-2.0"
] |
%{
#include "zeek/zeek-config.h"
#include <stdio.h>
#include <netinet/in.h>
#include <vector>
#include "zeek/RuleAction.h"
#include "zeek/RuleCondition.h"
#include "zeek/RuleMatcher.h"
#include "zeek/Reporter.h"
#include "zeek/IPAddr.h"
#include "zeek/net_util.h"
using namespace zeek::detail;
extern void begin_PS();
extern void end_PS();
zeek::detail::Rule* current_rule = nullptr;
const char* current_rule_file = nullptr;
static uint8_t ip4_mask_to_len(uint32_t mask)
{
if ( mask == 0xffffffff )
return 32;
uint32_t x = ~mask + 1;
uint8_t len;
for ( len = 0; len < 32 && (! (x & (1 << len))); ++len );
return 32 - len;
}
%}
%token TOK_COMP
%token TOK_DISABLE
%token TOK_DST_IP
%token TOK_DST_PORT
%token TOK_ENABLE
%token TOK_EVAL
%token TOK_EVENT
%token TOK_MIME
%token TOK_HEADER
%token TOK_IDENT
%token TOK_INT
%token TOK_IP
%token TOK_IP6
%token TOK_IP_OPTIONS
%token TOK_IP_OPTION_SYM
%token TOK_IP_PROTO
%token TOK_PATTERN
%token TOK_PATTERN_TYPE
%token TOK_PAYLOAD_SIZE
%token TOK_PROT
%token TOK_REQUIRES_SIGNATURE
%token TOK_REQUIRES_REVERSE_SIGNATURE
%token TOK_SIGNATURE
%token TOK_SAME_IP
%token TOK_SRC_IP
%token TOK_SRC_PORT
%token TOK_TCP_STATE
%token TOK_UDP_STATE
%token TOK_STRING
%token TOK_STATE_SYM
%token TOK_ACTIVE
%token TOK_BOOL
%token TOK_POLICY_SYMBOL
%type <str> TOK_STRING TOK_IDENT TOK_POLICY_SYMBOL TOK_PATTERN pattern string
%type <val> TOK_INT TOK_STATE_SYM TOK_IP_OPTION_SYM TOK_COMP
%type <val> integer ipoption_list state_list opt_strength
%type <rule> rule
%type <bl> TOK_BOOL opt_negate
%type <hdr_test> hdr_expr
%type <range> range rangeopt
%type <vallist> value_list
%type <prefix_val_list> prefix_value_list
%type <mval> TOK_IP value
%type <vallist> ranged_value
%type <prefixval> TOK_IP6 prefix_value
%type <prot> TOK_PROT
%type <ptype> TOK_PATTERN_TYPE
%union {
zeek::detail::Rule* rule;
zeek::detail::RuleHdrTest* hdr_test;
zeek::detail::maskedvalue_list* vallist;
std::vector<zeek::IPPrefix>* prefix_val_list;
zeek::IPPrefix* prefixval;
bool bl;
int val;
char* str;
zeek::detail::MaskedValue mval;
zeek::detail::RuleHdrTest::Prot prot;
zeek::detail::Range range;
zeek::detail::Rule::PatternType ptype;
}
%%
rule_list:
rule_list rule
{ zeek::detail::rule_matcher->AddRule($2); }
|
;
rule:
TOK_SIGNATURE TOK_IDENT
{
zeek::detail::Location l(current_rule_file, rules_line_number+1, 0, 0, 0);
current_rule = new zeek::detail::Rule(yylval.str, l);
}
'{' rule_attr_list '}'
{ $$ = current_rule; }
;
rule_attr_list:
rule_attr_list rule_attr
|
;
rule_attr:
TOK_DST_IP TOK_COMP prefix_value_list
{
current_rule->AddHdrTest(new zeek::detail::RuleHdrTest(
zeek::detail::RuleHdrTest::IPDst,
(zeek::detail::RuleHdrTest::Comp) $2, *($3)));
}
| TOK_DST_PORT TOK_COMP value_list
{ // Works for both TCP and UDP
current_rule->AddHdrTest(new zeek::detail::RuleHdrTest(
zeek::detail::RuleHdrTest::TCP, 2, 2,
(zeek::detail::RuleHdrTest::Comp) $2, $3));
}
| TOK_EVAL { begin_PS(); } TOK_POLICY_SYMBOL { end_PS(); }
{
current_rule->AddCondition(new zeek::detail::RuleConditionEval($3));
}
| TOK_HEADER hdr_expr
{ current_rule->AddHdrTest($2); }
| TOK_IP_OPTIONS ipoption_list
{
current_rule->AddCondition(
new zeek::detail::RuleConditionIPOptions($2));
}
| TOK_IP_PROTO TOK_COMP TOK_PROT
{
int proto = 0;
switch ( $3 ) {
case zeek::detail::RuleHdrTest::ICMP: proto = IPPROTO_ICMP; break;
case zeek::detail::RuleHdrTest::ICMPv6: proto = IPPROTO_ICMPV6; break;
// signature matching against outer packet headers of IP-in-IP
// tunneling not supported, so do a no-op there
case zeek::detail::RuleHdrTest::IP: proto = 0; break;
case zeek::detail::RuleHdrTest::IPv6: proto = 0; break;
case zeek::detail::RuleHdrTest::TCP: proto = IPPROTO_TCP; break;
case zeek::detail::RuleHdrTest::UDP: proto = IPPROTO_UDP; break;
default:
rules_error("internal_error: unknown protocol");
}
if ( proto )
{
auto* vallist = new zeek::detail::maskedvalue_list;
auto* val = new zeek::detail::MaskedValue();
val->val = proto;
val->mask = 0xffffffff;
vallist->push_back(val);
// offset & size params are dummies, actual next proto value in
// header is retrieved dynamically via IP_Hdr::NextProto()
current_rule->AddHdrTest(new zeek::detail::RuleHdrTest(
zeek::detail::RuleHdrTest::NEXT, 0, 0,
(zeek::detail::RuleHdrTest::Comp) $2, vallist));
}
}
| TOK_IP_PROTO TOK_COMP value_list
{
// offset & size params are dummies, actual next proto value in
// header is retrieved dynamically via IP_Hdr::NextProto()
current_rule->AddHdrTest(new zeek::detail::RuleHdrTest(
zeek::detail::RuleHdrTest::NEXT, 0, 0,
(zeek::detail::RuleHdrTest::Comp) $2, $3));
}
| TOK_EVENT string
{ current_rule->AddAction(new zeek::detail::RuleActionEvent($2)); }
| TOK_MIME string opt_strength
{ current_rule->AddAction(new zeek::detail::RuleActionMIME($2, $3)); }
| TOK_ENABLE TOK_STRING
{ current_rule->AddAction(new zeek::detail::RuleActionEnable($2)); }
| TOK_DISABLE TOK_STRING
{ current_rule->AddAction(new zeek::detail::RuleActionDisable($2)); }
| TOK_PATTERN_TYPE pattern
{ current_rule->AddPattern($2, $1); }
| TOK_PATTERN_TYPE '[' rangeopt ']' pattern
{
if ( $3.offset > 0 )
zeek::reporter->Warning("Offsets are currently ignored for patterns");
current_rule->AddPattern($5, $1, 0, $3.len);
}
| TOK_PAYLOAD_SIZE TOK_COMP integer
{
current_rule->AddCondition(
new zeek::detail::RuleConditionPayloadSize($3, (zeek::detail::RuleConditionPayloadSize::Comp) ($2)));
}
| TOK_REQUIRES_SIGNATURE TOK_IDENT
{ current_rule->AddRequires($2, 0, 0); }
| TOK_REQUIRES_SIGNATURE '!' TOK_IDENT
{ current_rule->AddRequires($3, 0, 1); }
| TOK_REQUIRES_REVERSE_SIGNATURE TOK_IDENT
{ current_rule->AddRequires($2, 1, 0); }
| TOK_REQUIRES_REVERSE_SIGNATURE '!' TOK_IDENT
{ current_rule->AddRequires($3, 1, 1); }
| TOK_SAME_IP
{ current_rule->AddCondition(new zeek::detail::RuleConditionSameIP()); }
| TOK_SRC_IP TOK_COMP prefix_value_list
{
current_rule->AddHdrTest(new zeek::detail::RuleHdrTest(
zeek::detail::RuleHdrTest::IPSrc,
(zeek::detail::RuleHdrTest::Comp) $2, *($3)));
}
| TOK_SRC_PORT TOK_COMP value_list
{ // Works for both TCP and UDP
current_rule->AddHdrTest(new zeek::detail::RuleHdrTest(
zeek::detail::RuleHdrTest::TCP, 0, 2,
(zeek::detail::RuleHdrTest::Comp) $2, $3));
}
| TOK_TCP_STATE state_list
{
current_rule->AddCondition(new zeek::detail::RuleConditionTCPState($2));
}
| TOK_UDP_STATE state_list
{
if ( $2 & zeek::detail::RULE_STATE_ESTABLISHED )
rules_error("'established' is not a valid 'udp-state'");
current_rule->AddCondition(new zeek::detail::RuleConditionUDPState($2));
}
| TOK_ACTIVE TOK_BOOL
{ current_rule->SetActiveStatus($2); }
;
hdr_expr:
TOK_PROT '[' range ']' '&' integer TOK_COMP value
{
auto* vallist = new zeek::detail::maskedvalue_list;
auto* val = new zeek::detail::MaskedValue();
val->val = $8.val;
val->mask = $6;
vallist->push_back(val);
$$ = new zeek::detail::RuleHdrTest($1, $3.offset, $3.len,
(zeek::detail::RuleHdrTest::Comp) $7, vallist);
}
| TOK_PROT '[' range ']' TOK_COMP value_list
{
$$ = new zeek::detail::RuleHdrTest($1, $3.offset, $3.len,
(zeek::detail::RuleHdrTest::Comp) $5, $6);
}
;
value_list:
value_list ',' value
{ $1->push_back(new zeek::detail::MaskedValue($3)); $$ = $1; }
| value_list ',' ranged_value
{
int numVals = $3->length();
for ( int idx = 0; idx < numVals; idx++ )
{
zeek::detail::MaskedValue* val = (*$3)[idx];
$1->push_back(val);
}
$$ = $1;
}
| value_list ',' TOK_IDENT
{ id_to_maskedvallist($3, $1); $$ = $1; }
| value
{
$$ = new zeek::detail::maskedvalue_list();
$$->push_back(new zeek::detail::MaskedValue($1));
}
| ranged_value
{
$$ = $1;
}
| TOK_IDENT
{
$$ = new zeek::detail::maskedvalue_list();
id_to_maskedvallist($1, $$);
}
;
prefix_value_list:
prefix_value_list ',' prefix_value
{
$$ = $1;
$$->push_back(*($3));
}
| prefix_value_list ',' TOK_IDENT
{
$$ = $1;
id_to_maskedvallist($3, 0, $1);
}
| prefix_value
{
$$ = new std::vector<zeek::IPPrefix>();
$$->push_back(*($1));
}
| TOK_IDENT
{
$$ = new std::vector<zeek::IPPrefix>();
id_to_maskedvallist($1, 0, $$);
}
;
prefix_value:
TOK_IP
{
$$ = new zeek::IPPrefix(zeek::IPAddr(IPv4, &($1.val), zeek::IPAddr::Host),
ip4_mask_to_len($1.mask));
}
| TOK_IP6
;
ranged_value:
TOK_INT '-' TOK_INT
{
$$ = new zeek::detail::maskedvalue_list();
for ( int val = $1; val <= $3; val++ )
{
auto* masked = new zeek::detail::MaskedValue();
masked->val = val;
masked->mask = 0xffffffff;
$$->push_back(masked);
}
}
;
value:
TOK_INT
{ $$.val = $1; $$.mask = 0xffffffff; }
| TOK_IP
;
rangeopt:
range
{ $$ = $1; }
| ':' integer
{ $$.offset = 0; $$.len = $2; }
| integer ':'
{ $$.offset = $1; $$.len = UINT_MAX; }
;
range:
integer
{ $$.offset = $1; $$.len = 1; }
| integer ':' integer
{ $$.offset = $1; $$.len = $3; }
;
ipoption_list:
ipoption_list ',' TOK_IP_OPTION_SYM
{ $$ = $1 | $3; }
| TOK_IP_OPTION_SYM
{ $$ = $1; }
;
state_list:
state_list ',' TOK_STATE_SYM
{ $$ = $1 | $3; }
| TOK_STATE_SYM
{ $$ = $1; }
;
integer:
TOK_INT
{ $$ = $1; }
| TOK_IDENT
{ $$ = id_to_uint($1); }
;
opt_negate:
'-'
{ $$ = true; }
|
{ $$ = false; }
;
opt_strength:
',' opt_negate TOK_INT
{ $$ = $2 ? -$3 : $3; }
|
{ $$ = 0; }
;
string:
TOK_STRING
{ $$ = $1; }
| TOK_IDENT
{ $$ = id_to_str($1); }
;
pattern:
TOK_PATTERN
{ $$ = $1; }
| TOK_IDENT
{ $$ = id_to_str($1); }
;
%%
void rules_error(const char* msg)
{
zeek::reporter->Error("Error in signature (%s:%d): %s\n",
current_rule_file, rules_line_number+1, msg);
zeek::detail::rule_matcher->SetParseError();
}
void rules_error(const char* msg, const char* addl)
{
zeek::reporter->Error("Error in signature (%s:%d): %s (%s)\n",
current_rule_file, rules_line_number+1, msg, addl);
zeek::detail::rule_matcher->SetParseError();
}
void rules_error(zeek::detail::Rule* r, const char* msg)
{
const zeek::detail::Location& l = r->GetLocation();
zeek::reporter->Error("Error in signature %s (%s:%d): %s\n",
r->ID(), l.filename, l.first_line, msg);
zeek::detail::rule_matcher->SetParseError();
}
int rules_wrap(void)
{
return 1;
}
| Yacc | 5 | yaplej/bro | src/rule-parse.y | [
"Apache-2.0"
] |
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| Twig | 0 | wr3nch0x1/grav | system/templates/external.html.twig | [
"MIT"
] |
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<Item Name="SubVIs" Type="Folder">
<Item Name="Generate Signal Components.vim" Type="VI" URL="../G-Audio/Examples/SubVIs/Generate Signal Components.vim"/>
<Item Name="Music Visualizer (Queue Only).vi" Type="VI" URL="../G-Audio/Examples/SubVIs/Music Visualizer (Queue Only).vi"/>
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<Item Name="Audio Capture Example.vi" Type="VI" URL="../G-Audio/Examples/Audio Capture Example.vi"/>
<Item Name="Audio Loopback Example.vi" Type="VI" URL="../G-Audio/Examples/Audio Loopback Example.vi"/>
<Item Name="Audio Playback Example.vi" Type="VI" URL="../G-Audio/Examples/Audio Playback Example.vi"/>
<Item Name="IEEE Float Compare Example.vi" Type="VI" URL="../G-Audio/Examples/IEEE Float Compare Example.vi"/>
<Item Name="Media Player Example.vi" Type="VI" URL="../G-Audio/Examples/Media Player Example.vi"/>
<Item Name="Minimize Memory Example.vi" Type="VI" URL="../G-Audio/Examples/Minimize Memory Example.vi"/>
<Item Name="Mixer Example.vi" Type="VI" URL="../G-Audio/Examples/Mixer Example.vi"/>
<Item Name="Music Visualizer Example.vi" Type="VI" URL="../G-Audio/Examples/Music Visualizer Example.vi"/>
<Item Name="Playback Latency Compare Example.vi" Type="VI" URL="../G-Audio/Examples/Playback Latency Compare Example.vi"/>
<Item Name="Query Audio Devices Example.vi" Type="VI" URL="../G-Audio/Examples/Query Audio Devices Example.vi"/>
<Item Name="Sample Pad Example (LINX).vi" Type="VI" URL="../G-Audio/Examples/Sample Pad Example (LINX).vi"/>
<Item Name="Sample Pad Example.vi" Type="VI" URL="../G-Audio/Examples/Sample Pad Example.vi"/>
<Item Name="Write Audio File Example.vi" Type="VI" URL="../G-Audio/Examples/Write Audio File Example.vi"/>
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<Item Name="Unit Tests" Type="Folder">
<Item Name="Test Default Audio Device Capture.vi" Type="VI" URL="../Unit Tests/Test Default Audio Device Capture.vi"/>
<Item Name="Test Default Audio Device Playback.vi" Type="VI" URL="../Unit Tests/Test Default Audio Device Playback.vi"/>
<Item Name="Test File Info FLAC.vi" Type="VI" URL="../Unit Tests/Test File Info FLAC.vi"/>
<Item Name="Test File Info MP3.vi" Type="VI" URL="../Unit Tests/Test File Info MP3.vi"/>
<Item Name="Test File Info Vorbis.vi" Type="VI" URL="../Unit Tests/Test File Info Vorbis.vi"/>
<Item Name="Test File Info WAV.vi" Type="VI" URL="../Unit Tests/Test File Info WAV.vi"/>
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<Item Name="G-Audio.lvlib" Type="Library" URL="../G-Audio/G-Audio.lvlib"/>
<Item Name="Dependencies" Type="Dependencies">
<Item Name="vi.lib" Type="Folder">
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<Item Name="Sound File Write (DBL).vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound File Write (DBL).vi"/>
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<Item Name="Sound File Write.vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound File Write.vi"/>
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<Item Name="Sound Output Configure.vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Configure.vi"/>
<Item Name="Sound Output Start.vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Start.vi"/>
<Item Name="Sound Output Stop.vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Stop.vi"/>
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<Item Name="Sound Output Wait.vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Wait.vi"/>
<Item Name="Sound Output Write (DBL Single).vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Write (DBL Single).vi"/>
<Item Name="Sound Output Write (DBL).vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Write (DBL).vi"/>
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<Item Name="Sound Output Write (I32).vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Write (I32).vi"/>
<Item Name="Sound Output Write (SGL).vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Write (SGL).vi"/>
<Item Name="Sound Output Write (U8).vi" Type="VI" URL="/<vilib>/sound2/lvsound2.llb/Sound Output Write (U8).vi"/>
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<Item Name="subFile Dialog.vi" Type="VI" URL="/<vilib>/express/express input/FileDialogBlock.llb/subFile Dialog.vi"/>
<Item Name="Synchronize Data Flow.vim" Type="VI" URL="/<vilib>/Utility/Synchronize Data Flow.vim"/>
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<Item Name="Trim Whitespace.vi" Type="VI" URL="/<vilib>/Utility/error.llb/Trim Whitespace.vi"/>
<Item Name="VISA Configure Serial Port" Type="VI" URL="/<vilib>/Instr/_visa.llb/VISA Configure Serial Port"/>
<Item Name="VISA Configure Serial Port (Instr).vi" Type="VI" URL="/<vilib>/Instr/_visa.llb/VISA Configure Serial Port (Instr).vi"/>
<Item Name="VISA Configure Serial Port (Serial Instr).vi" Type="VI" URL="/<vilib>/Instr/_visa.llb/VISA Configure Serial Port (Serial Instr).vi"/>
<Item Name="whitespace.ctl" Type="VI" URL="/<vilib>/Utility/error.llb/whitespace.ctl"/>
</Item>
<Item Name="g_audio_32.dll" Type="Document" URL="../G-Audio/lib/g_audio_32.dll"/>
<Item Name="lvanlys.dll" Type="Document" URL="/<resource>/lvanlys.dll"/>
<Item Name="lvsound2.dll" Type="Document" URL="/<resource>/lvsound2.dll"/>
</Item>
<Item Name="Build Specifications" Type="Build"/>
</Item>
</Project>
| LabVIEW | 2 | dataflowg/g-audio | src/LabVIEW/G-Audio.lvproj | [
"Unlicense"
] |
/******************************************************************************
* Copyright 2020 The Apollo 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.
*****************************************************************************/
#include "modules/drivers/smartereye/smartereye_handler.h"
#include <math.h>
#include <iostream>
#include <string>
#include "third_party/camera_library/smartereye/include/LdwDataInterface.h"
#include "third_party/camera_library/smartereye/include/disparityconvertor.h"
#include "third_party/camera_library/smartereye/include/frameid.h"
#include "third_party/camera_library/smartereye/include/obstacleData.h"
#include "third_party/camera_library/smartereye/include/satpext.h"
namespace apollo {
namespace drivers {
namespace smartereye {
SmartereyeHandler::SmartereyeHandler(std::string name)
: mName(name) {
pCallbackFunc = nullptr;
}
SmartereyeHandler::~SmartereyeHandler() {
pCallbackFunc = nullptr;
}
bool SmartereyeHandler::SetCallback(CallbackFunc ptr) {
pCallbackFunc = ptr;
return true;
}
void SmartereyeHandler::handleRawFrame(const RawImageFrame *rawFrame) {
pCallbackFunc(const_cast<RawImageFrame *>(rawFrame));
}
} // namespace smartereye
} // namespace drivers
} // namespace apollo
| C++ | 3 | jzjonah/apollo | modules/drivers/smartereye/smartereye_handler.cc | [
"Apache-2.0"
] |
// By Fritigern Gothly
//SKIN APPLIER
integer APPKEY = 987654321; // Application key, needed later. Change as you see fit, but remain consistent!
integer CH; // Communication channel
// Routine to use the owner's UUID as the basis for a channel number. Uses the above APPKEY.
integer Key2AppChan(key ID, integer App) {
return 0x80000000 | ((integer)("0x"+(string)ID) ^ App);
}
string keyword="Applier"; // Keyword to prefix the command string with.
// Change the keys to the UUIDs of the textures that need to be applied.
key tex_head ="16ffccd7-40c7-4fc7-be14-76bc26b47bbb";
key tex_upper="6cec3f96-aac2-47c2-9738-f32336aa6fe5";
key tex_lower="441409df-4a3c-4047-87c4-bdf4a0b90dee";
default
{
state_entry()
{
CH = Key2AppChan(llGetOwner(), APPKEY); // Set the communication channel, based on owner UUID and the APPKEY
}
touch_start(integer num)
{
// Now tell the body which textures it should apply
llSay(CH,keyword+"%head_"+tex_head);
llSay(CH,keyword+"%upper_"+tex_upper);
llSay(CH,keyword+"%lower_"+tex_lower);
}
} | LSL | 4 | seriesumei/test-Ruth2 | Contrib/Fritigern Gothly/Applier/Skin Applier.lsl | [
"MIT"
] |
.hello
content: 'hello'
| Sass | 0 | blomqma/next.js | test/integration/typescript/components/hello.module.sass | [
"MIT"
] |
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