Привет, ребята

Я подумываю построить что -то, что сделает конверсию на велосипедном спидометре с километра до миль в час в час.

Устройство будет иметь тростник или вход датчика эффекта зала, который получает импульс один раз на революцию велосипедного колеса, это, в свою очередь, должна генерировать импульсы при соотношении 1.В 6 раз больше входного расстояния импульсов.

Выход на самом деле должен управлять небольшой электромагетой, так как я хочу построить неинвазивную систему, а не разрезать существующие провода, которые идут на дисплей (хотя я полагаю, что я могу сделать это, если это абсолютно необходимо)

Эта вещь должна принять как можно меньше силы, и я почти мог сделать это с CMOS -шлепанцем, если соотношение составляло 2 к 1, но его 1.6 до 1, так что мне нужно что -то с небольшой обработкой.

Поскольку у меня есть множество STM32 и GD32 (я, вероятно, использую GD32, так как у меня есть множество из них из -за заказа в порядке), поэтому я подумал, что могу также использовать один из них

Но потребление энергии - это проблема. Доски GD32 имеют кристалл 12 МГц (и у STM32 8 МГц), поэтому я мог бы изменить PLL, чтобы они бежали на 8 МГц или 12 МГц, но это все еще, вероятно, слишком быстро, что мне нужно сделать.

Я посмотрел в куб STM32, но, кажется, не существует способа использовать часы RTC в качестве основного HSE, самое медленное, что может использовать HSE 8 МГц, а затем прокалер Div 2, а затем мультипликатор Times 2, чтобы дать дать Скорость мастера 8 МГц


Я полагаю, что смогу использовать некоторые из режимов сна с низкой мощностью, но может быть входной импульс каждые 150 мс и выходной импульс каждые 240 мс, так что в среднем STM32 должен делать что -то примерно каждые 100 мс.

Хотя я думаю, что ему не нужно делать слишком много, прежде чем его усыпить, так что, возможно, это лучший вариант, и полагайтесь на нарушение внешнего аппаратного обеспечения, чтобы разбудить его, а также внутренние таймеры, используя RTC

Хотя для тестирования будет гораздо проще, просто запустить его на низкой тактовой скорости.

Вы проходили http: // www.STM32duino.com/viewtopic.PHP?t = 658&начало = 30
(и ищите сайт для низкой мощности )
Я прошел несколько экспериментов с этим, и вы можете довести власть до уровня UA. Просни от сна даже при 72 МГц, чтобы выполнить очень мало работы, а затем снова сначала влияет на общее энергопотребление, вы сможете построить что -то, что будет работать на паре ячеек АА в течение нескольких месяцев.

Звучит как забавный проект, но моя первая мысль была: «Разве вы не можете просто настроить другой диаметр колеса в спидометре и сделать преобразование таким?"
Но это взяло бы все удовольствие от проекта: P

Реданьяк написал:Звучит как забавный проект, но моя первая мысль была: «Разве вы не можете просто настроить другой диаметр колеса в спидометре и сделать преобразование таким?"

Спасибо, ребята

Re: просто измените размер колеса и т. Д

У Speedo нет возможности изменить размер колеса, чтобы быть достаточно большим, размер колеса уже 700 ° С и не позволяет выбрать большие размеры

Re: Добавление лишних магнитов

Мне нужно сделать наоборот, мне нужно меньше импульсов, а не больше импульсов.


Энди

Спасибо.

Я посмотрю через эту ветку, так как я уверен, что там будут вещи, я могу использовать.

Перейти на лежачий велосипед и используйте 20 дюймов, соответственно, пересекается

Стивен (Владелец Ice Trice QNT)
Максимальная скорость 56.2 миль в час до сих пор, последний аэробный 540DEG ROLL; последний & Пока что только сбои, @18.6 миль в час ушли с двумя синяками, изысканным обтеканием и серьезно изогнутым вещей.

Я знаю, что вы хотите использовать то, что у вас есть на складе, но я думаю, что Attiny85 в форме чипа или в качестве доски типа дигисперка. Все программируют через Arduino IDE.

Rogerclark написал:Привет, ребята

Я подумываю построить что -то, что сделает конверсию на велосипедном спидометре с километра до миль в час в час.

Устройство будет иметь тростник или вход датчика эффекта зала, который получает импульс один раз на революцию велосипедного колеса, это, в свою очередь, должна генерировать импульсы при соотношении 1.В 6 раз больше входного расстояния импульсов.
<...>
Поскольку у меня есть множество STM32 и GD32 (я, вероятно, использую GD32, так как у меня есть множество из них из -за заказа в порядке), поэтому я подумал, что могу также использовать один из них

Но потребление энергии - это проблема. <...>

Пса. В Англии вы можете купить Speedos с выбираемыми показаниями в час/ч/ч.

Роджерл написал:Пса. В Англии вы можете купить Speedos с выбираемыми показаниями в час/ч/ч.

Rogerclark написал:Спасибо, ребята
Re: Добавление лишних магнитов

Мне нужно сделать наоборот, мне нужно меньше импульсов, а не больше импульсов.

Рива написал:Rogerclark написал:Спасибо, ребята
Re: Добавление лишних магнитов

Мне нужно сделать наоборот, мне нужно меньше импульсов, а не больше импульсов.

Испорченные для выбора компьютерами цикла KM/H MPH на eBay...

Это выглядит нормально за деньги...



http: // www.eBay.сопутствующий.Великобритания/ITM/велосипедный велосипед- ... SWXEJXE1ZU

Если вы можете выдержать медленное ожидание лодки и риск того, что это не так, как описано... Однако вы не получаете удовольствия от взлома своего.

Несколько $$$ больше заставляет вас Bluetooth..
http: // www.eBay.сопутствующий.Великобритания/ITM/Oregon-Scient ... Swstxvfade
.. Или вы можете полностью свернуть себе, конечно.

Рива

Это умная идея, чтобы использовать 5 магнитов, но мне нужно было бы найти еще 4 магнита Spoke, и ему все равно потребуется чип, чтобы сделать разделение, а также что -то еще, чтобы сделать генерацию пульса. Без, возможно, 555 для генерации фиктивного импульса Electomagnet будет питаться для вращения 1/5 колеса, а не 1 мс, поэтому потребление батареи было бы намного выше.


Энди

Спасибо. Да, использование другого спидония определенно вариант.

Но я напишу тебе, почему я все еще заинтересован в этом

Разве я не читал где -то, что вездесущая 555 - ток -свинья, и следует использовать низкую мощность.
наверное давным -давно
Стивен

Ничего страшного

Я по -прежнему предпочитаю использовать MCU, и, поскольку у меня много ударов STM32, они являются нулевым вариантом дополнительных затрат. Я подозреваю, что MCU не будет тем, что привлекает максимальную мощность, это, вероятно, будет электромагнит, который берет большую часть мощности, если я не создал какую -то причудливую систему восстановления индуктивной мощности.

Для электромагнита, вместо того, чтобы наматывать собственную катушку, я думаю, вы, вероятно, могли бы использовать катушку в эстафете, предполагая, что у вас есть несколько из них, лежащих вокруг. Они производят довольно сильное магнитное поле. Вам нужно будет экспериментировать, но мое ощущение кишечника состоит в том, что катушка эстафеты 12 В, заряженная 3V. Не забудьте диод Snubber через катушку.

Привет, Энди,

У меня было несколько представлений о том, что использовать для электромагнита.


Я заказал небольшой электромагнит с eBay



Но я также подумал об использовании одного из этих трансформаторов обнаружения тока



Хотя я думаю, что направление поля текущего трансформатора может быть неправильным способом быть полезным.

У меня есть более крупный трансформатор тока, который я спас много лет назад с печатной платы, но, похоже, он вообще не производит много магнитного потока.

Вот почему я думаю, что маленький электромагнит может быть лучшим выбором, он оценен в 12 В 250 мА, но я надеялся, что это так, я запустил его из 3.7 В липо, это займет 77 млн. В устойчивом состоянии, но намного ниже, если бы я просто дал ему короткий импульс из -за индуктивности катушки.

Я собирался водить его через небольшой транзистор, но я подозреваю, что, если я оставлю импульс подходящим образом небольшим, я смогу ограничить ток до той суммы, которую я могу получить от одного штифта GPIO, так как я подозреваю, что количество тока я буду Нужно обмануть существующий датчик очень низкий.

Редактировать

Точно так же, как я могу проверить некоторые вещи сегодня, я разделил эстафету 5 В

Извините, что вернулся снова к «простым» решениям - но я просто прочитал вашу ветку сейчас ... Спасибо, ребята

Re: просто измените размер колеса и т. Д

У Speedo нет возможности изменить размер колеса, чтобы быть достаточно большим, размер колеса уже 700 ° С и не позволяет выбрать большие размеры

Re: Добавление лишних магнитов

Мне нужно сделать наоборот, мне нужно меньше импульсов, а не больше импульсов. Почему вы не можете объединить две идеи выше?
я.эн. Добавьте только один секунду магнита, что сделало бы ваше 28 -дюймовое/700c выглядеть как 14 -дюймовое колесо, а затем увеличить диаметр колеса в спидометре до 1, например, 1.6*14 "= 22.4 " - надеясь, что устройство даст вам выбор где -то в этом районе...

@enif

К сожалению, Speedo не допускает большого изменения размера колеса, я думаю, что это только позволяет вариации толщины шин.

Причина в том, что Speedo поставляется с велосипедом как часть упаковки.

Да. Я знаю, что дешевле просто купить новый спидо

Rogerclark написал: Да. Я знаю, что дешевле просто купить новый спидо

(РЖУ НЕ МОГУ)

Я сделал несколько основных тестов, чтобы запустить существующий датчик реле тростника, и он требует удивительно сильного электромагнича.

Шобочка моей эстафеты 5 В не смогла сделать это, пока я не пробежал эстафету 5 В с 7 В

Хорошей новостью является то, что мне нужно только включить шлифовку на 2 миллисекунд, поэтому рабочая цикл на шлифовании очень низкий, и будет средним источником тока менее 1 мА.

Я подумал о том, чтобы сделать индуктивное восстановление энергии, так как в тот момент, когда бобина (электромагнит) снова выключается, диод защиты от обратного напряжения, сбрасывает большую часть энергии, которая вошла в Electomagnet.

Я думаю, что для начала, я могу просто попытаться изменить PLL и снизить скоростную скорость до 8 МГц, и выключить все ненужные периферийные устройства и т. Д.
И только спать полностью, если нет ввода от датчика колеса через 15 секунд.

Это будет означать, что система не должна будет иметь физический переключатель питания (но я все еще буду подходить для одного.)

На этом уровне энергопотребления он должен работать в течение сотен часов на одной маленькой ячейке липо (я думаю об использовании небольшой батареи с четырехбоей коптером)

Итак, моя следующая задача - энергопотребление.. Смотрите это пространство

Ребята

Я делал некоторые тесты, чтобы увидеть, сколько энергии можно сохранить, просто замедляя тактовую скорость

Я использую GD32, так как у меня их много, и я не против слишком много, если случайно сломаю его, и результаты могут не перевести напрямую в STM32, но но...

На 120 МГц основные часы GD32 занимает около 39 млн

На 12 МГц занимает около 11 мА

(Примечание. Я снял светодиод питания и питаю питание в штифт VDD от USB в серийный преобразователь, который имеет 3.3V вывод.
Возможно, что регулятор приобретает некоторое напряжение на его выходе, но я сомневаюсь, что он занимает много тока, если вообще есть)

Я обнаружил, что могу приступить к запуску основных часов на той же частоте, что и внешний OSC (HSE), используя 2 x предприга с 2 x, а затем выберите минимальный множитель PLL x 2

Мне пришлось сделать что -то вроде взлома, чтобы сделать это, потому что есть перечисление для мультипликатора PLL, и я не могу просто или в дополнительном бите (17), установленном в код, поскольку существует нарушение типа, поскольку Значение мультипликатора PLL, передаваемое в функцию, которая ее устанавливает, больше не является перечислением.

Итак, я сделал небольшой взломан в своем локальном коде и определил множитель PLL, которого на самом деле не существует (rcc_pllmul_1)
Sample 0 = 5153 Sample 1 = 5153 Sample 2 = 5154 Sample 3 = 5152 Sample 4 = 5153 Sample 5 = 5153 Sample 6 = 5121 Sample 7 = 5120 Sample 8 = 5121 Sample 9 = 5121 Sample 10 = 5120 Sample 11 = 5186 Sample 12 = 5185 Sample 13 = 5185 Sample 14 = 5185 Sample 15 = 5185 Sample 16 = 5185 Sample 17 = 5185 Sample 18 = 5185 Sample 19 = 5169 Sample 0 = 5153 Sample 1 = 5153 Sample 2 = 5154 Sample 3 = 5152 Sample 4 = 5153 Sample 5 = 5153 Sample 6 = 5121 Sample 7 = 5120 Sample 8 = 5121 Sample 9 = 5121 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5089 Sample 13 = 5088 Sample 14 = 5092 Sample 15 = 5185 Sample 16 = 5185 Sample 17 = 5185 Sample 18 = 5185 Sample 19 = 5169 Sample 0 = 5153 Sample 1 = 5153 Sample 2 = 5154 Sample 3 = 5152 Sample 4 = 5153 Sample 5 = 5153 Sample 6 = 5121 Sample 7 = 5120 Sample 8 = 5121 Sample 9 = 5121 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5089 Sample 13 = 5088 Sample 14 = 5092 Sample 15 = 5085 Sample 16 = 5089 Sample 17 = 5088 Sample 18 = 5185 Sample 19 = 5169 Sample 0 = 5056 Sample 1 = 5153 Sample 2 = 5154 Sample 3 = 5152 Sample 4 = 5153 Sample 5 = 5153 Sample 6 = 5121 Sample 7 = 5120 Sample 8 = 5121 Sample 9 = 5121 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5089 Sample 13 = 5088 Sample 14 = 5092 Sample 15 = 5085 Sample 16 = 5089 Sample 17 = 5088 Sample 18 = 5057 Sample 19 = 5056 Sample 0 = 5056 Sample 1 = 5056 Sample 2 = 5056 Sample 3 = 5057 Sample 4 = 5153 Sample 5 = 5153 Sample 6 = 5121 Sample 7 = 5120 Sample 8 = 5121 Sample 9 = 5121 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5089 Sample 13 = 5088 Sample 14 = 5092 Sample 15 = 5085 Sample 16 = 5089 Sample 17 = 5088 Sample 18 = 5057 Sample 19 = 5056 Sample 0 = 5056 Sample 1 = 5056 Sample 2 = 5056 Sample 3 = 5057 Sample 4 = 5057 Sample 5 = 5055 Sample 6 = 5057 Sample 7 = 5120 Sample 8 = 5121 Sample 9 = 5121 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5089 Sample 13 = 5088 Sample 14 = 5092 Sample 15 = 5085 Sample 16 = 5089 Sample 17 = 5088 Sample 18 = 5057 Sample 19 = 5056 Sample 0 = 5056 Sample 1 = 5056 Sample 2 = 5056 Sample 3 = 5057 Sample 4 = 5057 Sample 5 = 5055 Sample 6 = 5057 Sample 7 = 5056 Sample 8 = 5056 Sample 9 = 5056 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5089 Sample 13 = 5088 Sample 14 = 5092 Sample 15 = 5085 Sample 16 = 5089 Sample 17 = 5088 Sample 18 = 5057 Sample 19 = 5056 Sample 0 = 5056 Sample 1 = 5056 Sample 2 = 5056 Sample 3 = 5057 Sample 4 = 5057 Sample 5 = 5055 Sample 6 = 5057 Sample 7 = 5056 Sample 8 = 5056 Sample 9 = 5056 Sample 10 = 5041 Sample 11 = 5024 Sample 12 = 5024 Sample 13 = 5024 Sample 14 = 5092 Sample 15 = 5085 Sample 16 = 5089 Sample 17 = 5088 Sample 18 = 5057 Sample 19 = 5056 Sample 0 = 5056 Sample 1 = 5056 Sample 2 = 5056 Sample 3 = 5057 Sample 4 = 5057 Sample 5 = 5055 Sample 6 = 5057 Sample 7 = 5056 Sample 8 = 5056 Sample 9 = 5056 Sample 10 = 5041 Sample 11 = 5024 Sample 12 = 5024 Sample 13 = 5024 Sample 14 = 5024 Sample 15 = 5024 Sample 16 = 5008 Sample 17 = 5088 Sample 18 = 5057 Sample 19 = 5056 Sample 0 = 5056 Sample 1 = 5056 Sample 2 = 5056 Sample 3 = 5057 Sample 4 = 5057 Sample 5 = 5055 Sample 6 = 5057 Sample 7 = 5056 Sample 8 = 5056 Sample 9 = 5056 Sample 10 = 5041 Sample 11 = 5024 Sample 12 = 5024 Sample 13 = 5024 Sample 14 = 5024 Sample 15 = 5024 Sample 16 = 5008 Sample 17 = 4992 Sample 18 = 4992 Sample 19 = 10048 Sample 0 = 4992 Sample 1 = 4992 Sample 2 = 4992 Sample 3 = 5057 Sample 4 = 5057 Sample 5 = 5055 Sample 6 = 5057 Sample 7 = 5056 Sample 8 = 5056 Sample 9 = 5056 Sample 10 = 5041 Sample 11 = 5024 Sample 12 = 5024 Sample 13 = 5024 Sample 14 = 5024 Sample 15 = 5024 Sample 16 = 5008 Sample 17 = 4992 Sample 18 = 4992 Sample 19 = 10048 Sample 0 = 4992 Sample 1 = 4992 Sample 2 = 4992 Sample 3 = 5024 Sample 4 = 5024 Sample 5 = 5024 Sample 6 = 5057 Sample 7 = 5056 Sample 8 = 5056 Sample 9 = 5056 Sample 10 = 5041 Sample 11 = 5024 Sample 12 = 5024 Sample 13 = 5024 Sample 14 = 5024 Sample 15 = 5024 Sample 16 = 5008 Sample 17 = 4992 Sample 18 = 4992 Sample 19 = 10048 Sample 0 = 4992 Sample 1 = 4992 Sample 2 = 4992 Sample 3 = 5024 Sample 4 = 5024 Sample 5 = 5024 Sample 6 = 5024 Sample 7 = 5024 Sample 8 = 5025 Sample 9 = 5056 Sample 10 = 5041 Sample 11 = 5024 Sample 12 = 5024 Sample 13 = 5024 Sample 14 = 5024 Sample 15 = 5024 Sample 16 = 5008 Sample 17 = 4992 Sample 18 = 4992 Sample 19 = 10048 Sample 0 = 4992 Sample 1 = 4992 Sample 2 = 4992 Sample 3 = 5024 Sample 4 = 5024 Sample 5 = 5024 Sample 6 = 5024 Sample 7 = 5024 Sample 8 = 5025 Sample 9 = 5057 Sample 10 = 5055 Sample 11 = 5056 Sample 12 = 5057 Sample 13 = 5024 Sample 14 = 5024 Sample 15 = 5024 Sample 16 = 5008 Sample 17 = 4992 Sample 18 = 4992 Sample 19 = 10048 Sample 0 = 4992 Sample 1 = 4992 Sample 2 = 4992 Sample 3 = 5024 Sample 4 = 5024 Sample 5 = 5024 Sample 6 = 5024 Sample 7 = 5024 Sample 8 = 5025 Sample 9 = 5057 Sample 10 = 5055 Sample 11 = 5056 Sample 12 = 5057 Sample 13 = 5056 Sample 14 = 5056 Sample 15 = 5056 Sample 16 = 5008 Sample 17 = 4992 Sample 18 = 4992 Sample 19 = 10048 Sample 0 = 4992 Sample 1 = 4992 Sample 2 = 4992 Sample 3 = 5024 Sample 4 = 5024 Sample 5 = 5024 Sample 6 = 5024 Sample 7 = 5024 Sample 8 = 5025 Sample 9 = 5057 Sample 10 = 5055 Sample 11 = 5056 Sample 12 = 5057 Sample 13 = 5056 Sample 14 = 5056 Sample 15 = 5056 Sample 16 = 5057 Sample 17 = 5056 Sample 18 = 5056 Sample 19 = 10048 Sample 0 = 5061 Sample 1 = 5068 Sample 2 = 4992 Sample 3 = 5024 Sample 4 = 5024 Sample 5 = 5024 Sample 6 = 5024 Sample 7 = 5024 Sample 8 = 5025 Sample 9 = 5057 Sample 10 = 5055 Sample 11 = 5056 Sample 12 = 5057 Sample 13 = 5056 Sample 14 = 5056 Sample 15 = 5056 Sample 16 = 5057 Sample 17 = 5056 Sample 18 = 5056 Sample 19 = 10118 Sample 0 = 5061 Sample 1 = 5068 Sample 2 = 5089 Sample 3 = 5088 Sample 4 = 5089 Sample 5 = 5024 Sample 6 = 5024 Sample 7 = 5024 Sample 8 = 5025 Sample 9 = 5057 Sample 10 = 5055 Sample 11 = 5056 Sample 12 = 5057 Sample 13 = 5056 Sample 14 = 5056 Sample 15 = 5056 Sample 16 = 5057 Sample 17 = 5056 Sample 18 = 5056 Sample 19 = 10118 Sample 0 = 5061 Sample 1 = 5068 Sample 2 = 5089 Sample 3 = 5088 Sample 4 = 5089 Sample 5 = 5088 Sample 6 = 5089 Sample 7 = 5104 Sample 8 = 5025 Sample 9 = 5057 Sample 10 = 5055 Sample 11 = 5056 Sample 12 = 5057 Sample 13 = 5056 Sample 14 = 5056 Sample 15 = 5056 Sample 16 = 5057 Sample 17 = 5056 Sample 18 = 5056 Sample 19 = 10118 Sample 0 = 5061 Sample 1 = 5068 Sample 2 = 5089 Sample 3 = 5088 Sample 4 = 5089 Sample 5 = 5088 Sample 6 = 5089 Sample 7 = 5104 Sample 8 = 5124 Sample 9 = 5118 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5057 Sample 13 = 5056 Sample 14 = 5056 Sample 15 = 5056 Sample 16 = 5057 Sample 17 = 5056 Sample 18 = 5056 Sample 19 = 10118 Sample 0 = 5061 Sample 1 = 5068 Sample 2 = 5089 Sample 3 = 5088 Sample 4 = 5089 Sample 5 = 5088 Sample 6 = 5089 Sample 7 = 5104 Sample 8 = 5124 Sample 9 = 5118 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5121 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5056 Sample 16 = 5057 Sample 17 = 5056 Sample 18 = 5056 Sample 19 = 10118 Sample 0 = 5061 Sample 1 = 5068 Sample 2 = 5089 Sample 3 = 5088 Sample 4 = 5089 Sample 5 = 5088 Sample 6 = 5089 Sample 7 = 5104 Sample 8 = 5124 Sample 9 = 5118 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5121 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5154 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5056 Sample 19 = 10118 Sample 0 = 5185 Sample 1 = 5068 Sample 2 = 5089 Sample 3 = 5088 Sample 4 = 5089 Sample 5 = 5088 Sample 6 = 5089 Sample 7 = 5104 Sample 8 = 5124 Sample 9 = 5118 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5121 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5154 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5153 Sample 19 = 10339 Sample 0 = 5185 Sample 1 = 5186 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5089 Sample 5 = 5088 Sample 6 = 5089 Sample 7 = 5104 Sample 8 = 5124 Sample 9 = 5118 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5121 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5154 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5153 Sample 19 = 10339 Sample 0 = 5185 Sample 1 = 5186 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5184 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5104 Sample 8 = 5124 Sample 9 = 5118 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5121 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5154 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5153 Sample 19 = 10339 Sample 0 = 5185 Sample 1 = 5186 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5184 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5185 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5120 Sample 11 = 5121 Sample 12 = 5121 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5154 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5153 Sample 19 = 10339 Sample 0 = 5185 Sample 1 = 5186 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5184 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5185 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5186 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5120 Sample 14 = 5153 Sample 15 = 5154 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5153 Sample 19 = 10339 Sample 0 = 5185 Sample 1 = 5186 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5184 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5185 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5186 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5217 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5152 Sample 17 = 5153 Sample 18 = 5153 Sample 19 = 10339 Sample 0 = 5185 Sample 1 = 5186 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5184 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5185 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5186 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5217 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5214 Sample 17 = 5217 Sample 18 = 5250 Sample 19 = 10339 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5185 Sample 3 = 5185 Sample 4 = 5184 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5185 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5186 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5217 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5214 Sample 17 = 5217 Sample 18 = 5250 Sample 19 = 5250 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5250 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5186 Sample 6 = 5185 Sample 7 = 5185 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5186 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5217 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5214 Sample 17 = 5217 Sample 18 = 5250 Sample 19 = 5250 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5250 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5286 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5185 Sample 9 = 5185 Sample 10 = 5186 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5217 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5214 Sample 17 = 5217 Sample 18 = 5250 Sample 19 = 5250 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5250 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5286 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5282 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5185 Sample 12 = 5217 Sample 13 = 5217 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5214 Sample 17 = 5217 Sample 18 = 5250 Sample 19 = 5250 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5250 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5286 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5282 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5314 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5217 Sample 15 = 5221 Sample 16 = 5214 Sample 17 = 5217 Sample 18 = 5250 Sample 19 = 5250 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5250 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5286 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5282 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5314 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5317 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5250 Sample 19 = 5250 Sample 0 = 5249 Sample 1 = 5250 Sample 2 = 5250 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5286 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5282 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5314 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5317 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5346 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5249 Sample 4 = 5282 Sample 5 = 5286 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5282 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5314 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5317 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5346 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5378 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5277 Sample 7 = 5282 Sample 8 = 5282 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5314 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5317 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5346 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5378 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5379 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5298 Sample 10 = 5313 Sample 11 = 5314 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5317 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5346 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5378 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5379 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5410 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5314 Sample 13 = 5314 Sample 14 = 5317 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5346 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5378 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5379 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5410 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5410 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5327 Sample 16 = 5347 Sample 17 = 5351 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5346 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5378 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5379 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5410 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5410 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5411 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5341 Sample 19 = 5346 Sample 0 = 5443 Sample 1 = 5363 Sample 2 = 5378 Sample 3 = 5378 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5379 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5410 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5410 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5411 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5411 Sample 19 = 5443 Sample 0 = 5443 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5379 Sample 5 = 5378 Sample 6 = 5379 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5410 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5410 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5411 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5411 Sample 19 = 5443 Sample 0 = 5443 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5410 Sample 8 = 5411 Sample 9 = 5410 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5410 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5411 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5411 Sample 19 = 5443 Sample 0 = 5443 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5411 Sample 11 = 5411 Sample 12 = 5410 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5411 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5411 Sample 19 = 5443 Sample 0 = 5443 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5411 Sample 14 = 5410 Sample 15 = 5411 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5411 Sample 19 = 5443 Sample 0 = 5443 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5411 Sample 17 = 5410 Sample 18 = 5411 Sample 19 = 5443 Sample 0 = 5443 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5443 Sample 0 = 5539 Sample 1 = 5442 Sample 2 = 5443 Sample 3 = 5443 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5539 Sample 0 = 5539 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5459 Sample 5 = 5475 Sample 6 = 5475 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5539 Sample 0 = 5539 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5475 Sample 8 = 5476 Sample 9 = 5474 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5539 Sample 0 = 5539 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5507 Sample 11 = 5508 Sample 12 = 5507 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5539 Sample 0 = 5539 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5507 Sample 14 = 5508 Sample 15 = 5507 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5539 Sample 0 = 5539 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5539 Sample 17 = 5540 Sample 18 = 5540 Sample 19 = 5539 Sample 0 = 5539 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 5539 Sample 0 = 5669 Sample 1 = 5555 Sample 2 = 5572 Sample 3 = 5572 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5669 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5572 Sample 5 = 5571 Sample 6 = 5572 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5669 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5604 Sample 8 = 5604 Sample 9 = 5604 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5669 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5603 Sample 11 = 5604 Sample 12 = 5620 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5669 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5637 Sample 14 = 5635 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5669 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5637 Sample 16 = 5636 Sample 17 = 5636 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5669 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5668 Sample 19 = 11338 Sample 0 = 5797 Sample 1 = 5668 Sample 2 = 5668 Sample 3 = 5685 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5700 Sample 5 = 5701 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5700 Sample 7 = 5701 Sample 8 = 5701 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5732 Sample 10 = 5733 Sample 11 = 5732 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5733 Sample 13 = 5734 Sample 14 = 5748 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5765 Sample 16 = 5765 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5765 Sample 18 = 5765 Sample 19 = 11563 Sample 0 = 5797 Sample 1 = 5797 Sample 2 = 5797 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5797 Sample 4 = 5798 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5813 Sample 6 = 5836 Sample 7 = 5823 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5830 Sample 9 = 5829 Sample 10 = 5846 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5861 Sample 12 = 5862 Sample 13 = 5861 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 5862 Sample 15 = 5861 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 5894 Sample 17 = 5894 Sample 18 = 5894 Sample 19 = 5894 Sample 0 = 5894 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 5894 Sample 0 = 6054 Sample 1 = 5909 Sample 2 = 5926 Sample 3 = 5927 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 5925 Sample 5 = 5926 Sample 6 = 5959 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 5990 Sample 8 = 5991 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 5990 Sample 10 = 5990 Sample 11 = 5991 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6022 Sample 13 = 6023 Sample 14 = 6023 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6022 Sample 16 = 6023 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6055 Sample 18 = 6055 Sample 19 = 6055 Sample 0 = 6054 Sample 1 = 6055 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6071 Sample 3 = 6087 Sample 4 = 6087 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6087 Sample 6 = 6087 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6104 Sample 8 = 6119 Sample 9 = 6120 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6119 Sample 11 = 6119 Sample 12 = 6135 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6152 Sample 14 = 6151 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6151 Sample 16 = 6152 Sample 17 = 6168 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6183 Sample 19 = 6184 Sample 0 = 6184 Sample 1 = 6184 Sample 2 = 6215 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 6344 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6248 Sample 4 = 6248 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6249 Sample 6 = 6248 Sample 7 = 6264 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6284 Sample 9 = 6277 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6280 Sample 11 = 6281 Sample 12 = 6296 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6312 Sample 14 = 6313 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6313 Sample 16 = 6312 Sample 17 = 6329 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6345 Sample 19 = 12691 Sample 0 = 6346 Sample 1 = 6344 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6377 Sample 3 = 6409 Sample 4 = 6409 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6409 Sample 6 = 6409 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6426 Sample 8 = 6441 Sample 9 = 6442 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6441 Sample 11 = 6441 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6474 Sample 13 = 6474 Sample 14 = 6474 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6473 Sample 16 = 6473 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6506 Sample 18 = 6506 Sample 19 = 6506 Sample 0 = 6506 Sample 1 = 6506 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 6506 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6571 Sample 3 = 6569 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6571 Sample 5 = 6570 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6586 Sample 7 = 6602 Sample 8 = 6603 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6602 Sample 10 = 6603 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6618 Sample 12 = 6635 Sample 13 = 6635 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6634 Sample 15 = 6635 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6699 Sample 17 = 6699 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6699 Sample 19 = 13416 Sample 0 = 6715 Sample 1 = 6731 Sample 2 = 6731 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6731 Sample 4 = 6732 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6795 Sample 6 = 6796 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6796 Sample 8 = 6796 Sample 9 = 6795 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 6828 Sample 11 = 6828 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 6828 Sample 13 = 6828 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 6861 Sample 15 = 6892 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 6892 Sample 17 = 6893 Sample 18 = 6892 Sample 19 = 6925 Sample 0 = 6924 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 6925 Sample 0 = 7117 Sample 1 = 6924 Sample 2 = 6929 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 6953 Sample 4 = 6989 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 6989 Sample 6 = 6989 Sample 7 = 6989 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7021 Sample 9 = 7022 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7021 Sample 11 = 7021 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7054 Sample 13 = 7085 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7086 Sample 15 = 7086 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7101 Sample 17 = 7118 Sample 18 = 7118 Sample 19 = 7118 Sample 0 = 7117 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7118 Sample 0 = 7375 Sample 1 = 7182 Sample 2 = 7183 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7182 Sample 4 = 7182 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7199 Sample 6 = 7214 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7440 Sample 6 = 7473 Sample 7 = 7215 Sample 8 = 7214 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7440 Sample 6 = 7473 Sample 7 = 7504 Sample 8 = 7504 Sample 9 = 7215 Sample 10 = 7279 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7440 Sample 6 = 7473 Sample 7 = 7504 Sample 8 = 7504 Sample 9 = 7505 Sample 10 = 7504 Sample 11 = 7278 Sample 12 = 7279 Sample 13 = 7279 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7440 Sample 6 = 7473 Sample 7 = 7504 Sample 8 = 7504 Sample 9 = 7505 Sample 10 = 7504 Sample 11 = 7537 Sample 12 = 7536 Sample 13 = 7537 Sample 14 = 7344 Sample 15 = 7343 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7440 Sample 6 = 7473 Sample 7 = 7504 Sample 8 = 7504 Sample 9 = 7505 Sample 10 = 7504 Sample 11 = 7537 Sample 12 = 7536 Sample 13 = 7537 Sample 14 = 7537 Sample 15 = 7601 Sample 16 = 7343 Sample 17 = 7344 Sample 18 = 7359 Sample 19 = 7376 Sample 0 = 7375 Sample 1 = 7376 Sample 2 = 7408 Sample 3 = 7439 Sample 4 = 7440 Sample 5 = 7440 Sample 6 = 7473 Sample 7 = 7504 Sample 8 = 7504 Sample 9 = 7505 Sample 10 = 7504 Sample 11 = 7537 Sample 12 = 7536 Sample 13 = 7537 Sample 14 = 7537 Sample 15 = 7601 Sample 16 = 7601 Sample 17 = 7601 Sample 18 = 7359 Sample 19 = 7376