# 🔪JAX - 세부적인 특징들 (JAX - The Sharp Bits)🔪

<a href="https://colab.research.google.com/github/google/jax/blob/main/docs/notebooks/Common_Gotchas_in_JAX.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"/></a>

*저자 : Anselm Levskaya & Mattew Johnson*

*역자 : 장진우(wdfrty1234@gmail.com)*

*검수 : 이영빈, 박정현*

> 이탈리아 변두리를 걷다보면, 사람들이 `JAX`에 대해 *[“una anima di pura programmazione funzionale(순수한 함수형 프로그래밍의 영혼)”](https://www.sscardapane.it/iaml-backup/jax-intro/)*이라는 용어로 묘사하는 사람들이 많다는 것을 알 수 있습니다.

`JAX`는 수치해석 프로그램의 변환을 위한 언어로, CPU 혹은 가속기(GPU/TPU)에서 수치형 프로그램을 컴파일하여 동작시킬 수 있습니다. 특정한 제약조건을 충족하는 경우, `JAX`는 수치 및 과학 프로그램에서 잘 동작합니다!


```python
import numpy as np
from jax import grad, jit
from jax import lax
from jax import random
import jax
import jax.numpy as jnp
```

## **🔪순수 함수 (Pure functions)**



`JAX`는 (모든 입력 데이터가 함수의 매개변수를 통해 전달되고, 모든 출력 결과가 함수의 결과를 통해서 나오는) 순수 함수에서 잘 동작하도록 설계되어 있습니다.

(역자 주) 순수 함수는 같은 입력이 주어진다면 항상 같은 결과를 반환하는 함수를 의미합니다.

하지만, 하지만 순수함수가 아닌 경우 `JAX`는 Python 인터프리터와 다르게 동작할 수 있습니다. 아래는 그 예시 입니다. 이와 같은 예는 `JAX` 시스템에서의 동작이 보장되지 않습니다.
따라서, `JAX`를 사용하는 가장 적절한 방법은 함수적으로 순수한 Python함수에 대해서만 사용하는 것입니다.


```python
def impure_print_side_effect(x):
  print("Executing function")  # This is a side-effect
  return x

# The side-effects appear during the first run
print ("First call: ", jit(impure_print_side_effect)(4.))

# Subsequent runs with parameters of same type and shape may not show the side-effect
# This is because JAX now invokes a cached compilation of the function
print ("Second call: ", jit(impure_print_side_effect)(5.))

# JAX re-runs the Python function when the type or shape of the argument changes
print ("Third call, different type: ", jit(impure_print_side_effect)(jnp.array([5.])))
```


```python
g = 0.
def impure_uses_globals(x):
  return x + g

# JAX captures the value of the global during the first run
print ("First call: ", jit(impure_uses_globals)(4.))
g = 10.  # Update the global

# Subsequent runs may silently use the cached value of the globals
print ("Second call: ", jit(impure_uses_globals)(5.))

# JAX re-runs the Python function when the type or shape of the argument changes
# This will end up reading the latest value of the global
print ("Third call, different type: ", jit(impure_uses_globals)(jnp.array([4.])))
```


```python
g = 0.
def impure_saves_global(x):
  global g
  g = x
  return x

# JAX runs once the transformed function with special Traced values for arguments
print ("First call: ", jit(impure_saves_global)(4.))
print ("Saved global: ", g)  # Saved global has an internal JAX value
```

만약 Python 함수가 실제로 스테이트풀 객체를 내부적으로 사용하더라도, 이를 외부에서 읽거나 쓰지 않는다면 함수적으로 순수하다고 볼 수 있습니다.


```python
def pure_uses_internal_state(x):
  state = dict(even=0, odd=0)
  for i in range(10):
    state['even' if i % 2 == 0 else 'odd'] += x
  return state['even'] + state['odd']

print(jit(pure_uses_internal_state)(5.))
```

`jit`을 사용하려는 `JAX` 함수나 어떤 제어 흐름 구성요소에서 iterators를 사용하는 것은 권장되지 않습니다. 그 이유는 iterator(반복자)가 다음 요소를 가져오기 위한 상태(state)를 찾기 위한 파이썬 객체이기 때문입니다. 이러한 이유로, iterators는 JAX의 함수적 프로그래밍 모델과 호환되지 않습니다. 아래 코드는 JAX에서 iterators를 사용하려는 부적절한 시도들에 대한 예시를 보여줍니다. 이러한 예제들 대부분은 오류를 반환하지만, 어떤 경우에는 예상치 못한 결과를 보여줄 수도 있습니다.


```python
import jax.numpy as jnp
import jax.lax as lax
from jax import make_jaxpr

# lax.fori_loop
array = jnp.arange(10)
print(lax.fori_loop(0, 10, lambda i,x: x+array[i], 0)) # expected result 45
iterator = iter(range(10))
print(lax.fori_loop(0, 10, lambda i,x: x+next(iterator), 0)) # unexpected result 0

# lax.scan
def func11(arr, extra):
    ones = jnp.ones(arr.shape)
    def body(carry, aelems):
        ae1, ae2 = aelems
        return (carry + ae1 * ae2 + extra, carry)
    return lax.scan(body, 0., (arr, ones))
make_jaxpr(func11)(jnp.arange(16), 5.)
# make_jaxpr(func11)(iter(range(16)), 5.) # throws error

# lax.cond
array_operand = jnp.array([0.])
lax.cond(True, lambda x: x+1, lambda x: x-1, array_operand)
iter_operand = iter(range(10))
# lax.cond(True, lambda x: next(x)+1, lambda x: next(x)-1, iter_operand) # throws error
```

## **🔪In-Place 업데이트 (In-Place Updates)**

Numpy를 사용할 때, 여러분들은 종종 이렇게 사용할 것입니다.


```python
numpy_array = np.zeros((3,3), dtype=np.float32)
print("original array:")
print(numpy_array)

# In place, mutating update
numpy_array[1, :] = 1.0
print("updated array:")
print(numpy_array)
```

하지만, 만약 JAX device array에 in-place로 업데이트를 시도하면, 오류가 발생하는 것을 볼 수 있습니다. (☉_☉)


```python
%xmode Minimal
```


```python
jax_array = jnp.zeros((3,3), dtype=jnp.float32)

# In place update of JAX's array will yield an error!
jax_array[1, :] = 1.0
```

변수의 in-place 변형을 허용하는 것은 프로그램의 분석과 변환을 어렵게 만드는 요인입니다. JAX에서는 프로그램이 순수 함수여야 한다는 것을 기억합시다.

`JAX`에서는 in-place 기법 대신에, JAX에서는 JAX array에  `.at` 속성을 이용하여 함수적 배열 업데이트를 수행합니다. ([`.at` property on JAX arrays.](https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.ndarray.at.html#jax.numpy.ndarray.at))

⚠️ `jit`된 코드 와 `lax.while_loop` 또는 `lax.fori_loop` 내부에서 슬라이스의 크기는 인수 *값*의 함수가 아니라 인수 *형태*의 함수여야 가능합니다. -  슬라이스 시작 인덱스에는 그러한 제한이 없습니다. 아래의 **제어 흐름** 부분에서 이러한 제약에 대한 정보를 확인할 수 있습니다.

**배열 업데이트 : `x.at[idx].set(y)`**

예를 들어, 업데이트는 아래와 같이 작성할 수 있습니다.


```python
updated_array = jax_array.at[1, :].set(1.0)
print("updated array:\n", updated_array)
```

JAX의 업데이트 함수는 NumPy와는 다르게 out-of-place로 동작합니다. 즉, 업데이트된 배열은 새 배열로 반환되며 원래 배열은 업데이트로 수정되지 않습니다.


```python
print("original array unchanged:\n", jax_array)
```

하지만, `jit`으로 컴파일 된 코드 내에서 `x.at[idx].set(y)`의 입력 값 x가 재사용되지 않는 경우, 컴파일러는 in-place로 배열이 업데이트 되도록 최적화할 수 있습니다.

### 다른 연산과 함께 배열 업데이트

인덱스가 지정된 배열의 업데이트는 단순히 값을 덮어쓰는 것에만 제한되지는 않습니다. 예를 들어, 아래의 예시와 같이 인덱스에 덧셈을 하는 연산도 수행할 수 있습니다.


```python
print("original array:")
jax_array = jnp.ones((5, 6))
print(jax_array)

new_jax_array = jax_array.at[::2, 3:].add(7.)
print("new array post-addition:")
print(new_jax_array)
```

보다 더 자세한 인덱스된 배열의 업데이트에 관련하여서는, 해당 문서를 참고해주세요. ([documentatiaon for the `.at` property](https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.ndarray.at.html#jax.numpy.ndarray.at))

## **🔪 범위를 벗어난 인덱싱 (Out-of-Bound Indexing)**

NumPy에서는 여러분이 인덱스 배열의 인덱스 범위를 벗어나는 동작을 수행하면 아래와 같은 에러를 볼 수 있습니다.


```python
np.arange(10)[11]
```

하지만, 가속기에서 동작하는 코드로부터 에러를 발생시키는 것은 어렵거나 심지어는 불가능할 수 있습니다. 그러므로, JAX는 배열의 범위를 벗어나는 인덱싱에 대해서 오류가 아닌 동작을 선택해야 합니다. (유효하지 않은 부동 소수점의 산술적 결과가 NaN이 되는 것과 유사합니다.). 만약 인덱싱 작업이 배열 인덱스 업데이트(예: `index_add` 또는 `scatter`-유사한 기본 요소)인 경우, 범위를 벗어난 인덱스의 업데이트는 건너뜁니다. 작업이 배열 인덱스 검색(예: NumPy 인덱싱 또는 `gather`-유사 기본 요소)인 경우, 무언가를 반환해야 하므로 인덱스가 배열의 범위에 고정됩니다. 예를 들어, 아래의 인덱싱 동작에서는 배열의 마지막 값이 반환될 것입니다.



```python
jnp.arange(10)[11]
```

인덱스 검색에 대한 이러한 동작으로 인해 `jnp.nanargmin` 및 `jnp.nanargmax`와 같은 함수는 NaN으로 구성된 슬라이스에 대해 -1을 반환하지만 Numpy는 오류를 발생시킵니다.

위에서 설명한 두 가지 동작이 서로 역의 관계가 아니기 때문에, 역방향 자동 미분(인덱스 업데이트를 인덱스 검색으로 변환하고 그 반대로 전환)은 범위를 벗어난 [인덱싱의 의미를 보존하지 않습니다](https://github.com/google/jax/issues/5760). 따라서  JAX의 범위를 벗어난 인덱싱을 [정의되지 않은 동작](https://en.wikipedia.org/wiki/Undefined_behavior)으로 생각하는 것이 좋습니다.

## **🔪 비배열 입력: NumPy vs. Jax (Non-array inputs: NumPy vs. JAX)**

NumPy는 일반적으로 Python의 리스트 또는 튜플을 API 함수에 대한 입력으로 사용합니다.


```python
np.sum([1, 2, 3])
```

JAX는 이와 다르게 일반적으로 유용한 오류를 반환합니다.


```python
jnp.sum([1, 2, 3])
```

이는 의도적으로 설계된 결과입니다. 그 이유는 추적된 함수에 리스트나 튜플을 전달하게 되면 감지하기 어려운 조용한 성능의 저하가 발생할 수 있기 때문입니다.

예를 들어, 리스트의 입력을 허용하는 다음 버전의 `jnp.sum`을 고려해봅시다.


```python
def permissive_sum(x):
  return jnp.sum(jnp.array(x))

x = list(range(10))
permissive_sum(x)
```

결과는 예상한 대로이지만 여기에는 잠재적인 성능 문제가 숨겨져 있습니다. JAX의 추적 및 JIT 컴파일 모델에서 Python의 리스트 혹은 튜플의 각 요소가 별도의 JAX 변수로 취급되며, 이러한 변수들은 개별적으로 처리되어 디바이스로 전송됩니다. 이는 위의 `permissive_sum` 함수에 대한 jaxpr에서 볼 수 있습니다.


```python
make_jaxpr(permissive_sum)(x)
```

리스트의 각 항목은 별도의 입력으로 처리되므로, 리스트의 크기에 따라 선형적으로 증가하는 추적 및 컴파일 오버헤드가 발생합니다. 이러한 문제를 방지하기 위해, JAX는 리스트 및 튜플을 배열로 임시적으로 변환하는 것을 피합니다.

따라서, 튜플 또는 리스트를 JAX 함수에 전달하려면 먼저 명시적으로 배열로 변환한 후 전달해야 합니다.


```python
jnp.sum(jnp.array(x))
```

## **🔪 난수 (Random Numbers)**

> rand()로 인해 결과가 의심스러운 모든 과학 논문들이 도서관 책장에서 사라진다면 각 책장에는 주먹만한 간격이 생길 겁니다. - Numerical Recipes

**RNGs와 State**

여러분들은 NumPy 및 기타 라이브러리의 스테이트풀 의사 난수 생성기(PRNG)에 익숙할 것입니다. 이러한 라이브러리들은 의사 난수의 소스를 제공하기 위해 많은 세부 정보들을 백그라운드에서 유용하게 숨깁니다.


```python
print(np.random.random())
print(np.random.random())
print(np.random.random())
```

백그라운드에서 numpy는 [Mersenne Twister](https://en.wikipedia.org/wiki/Mersenne_Twister) PRNG를 사용하여 의사 난수 기능을 강화합니다. PRNG의 주기는 $2^{19937} - 1$이고  어느 시점에서든 624개의 32비트 부호 없는 정수와 이 “엔트로피”가 얼마나 많이 사용되었는지에 대한 위치로 설명할 수 있습니다.


```python
np.random.seed(0)
rng_state = np.random.get_state()
# print(rng_state)
# --> ('MT19937', array([0, 1, 1812433255, 1900727105, 1208447044,
#       2481403966, 4042607538,  337614300, ... 614 more numbers...,
#       3048484911, 1796872496], dtype=uint32), 624, 0, 0.0)
```

이 의사 난수 상태 벡터는 난수가 필요할 때마다 백그라운드에서 자동적으로 업데이트되어 Mersenne twister 상태 벡터의 uint32 중 2개를 “소비”합니다.


```python
_ = np.random.uniform()
rng_state = np.random.get_state()
#print(rng_state)
# --> ('MT19937', array([2443250962, 1093594115, 1878467924,
#       ..., 2648828502, 1678096082], dtype=uint32), 2, 0, 0.0)

# Let's exhaust the entropy in this PRNG statevector
for i in range(311):
  _ = np.random.uniform()
rng_state = np.random.get_state()
#print(rng_state)
# --> ('MT19937', array([2443250962, 1093594115, 1878467924,
#       ..., 2648828502, 1678096082], dtype=uint32), 624, 0, 0.0)

# Next call iterates the RNG state for a new batch of fake "entropy".
_ = np.random.uniform()
rng_state = np.random.get_state()
# print(rng_state)
# --> ('MT19937', array([1499117434, 2949980591, 2242547484,
#      4162027047, 3277342478], dtype=uint32), 2, 0, 0.0)
```

Magic PRNG 상태의 문제는 서로 다른 스레드, 프로세스 및 장치에서 사용 및 업데이트 되는 방식에 대해 추론하기 어렵고 엔트로피 생성 및 소비에 대한 세부 정보가 최종 사용자에게 숨겨져 있을 때 문제를 일으키기 매우 쉽다는 것입니다.

또한, Mersenne Twister PRNG는 많은 문제가 있는 것으로 알려져 있으며, 2.5Kb의 큰 상태 크기를 가지고 있어 초기화 문제를 야기할 수 있습니다. 또한, 최신 BigCrush 테스트를 만족하지 못하고 일반적으로 느리다는 단점이 있습니다.

**JAX PRNG**

JAX는 대신 PRNG 상태를 명시적으로 전달하고 반복하여 엔트로피 생성 및 소비를 처리하는 명시적 PRNG를 구현했습니다. JAX는 분할 가능한 최신 Threefry counter 기반 PRNG를 사용합니다([Threefry counter-based PRNG](https://github.com/google/jax/blob/main/docs/jep/263-prng.md)). 즉, 이러한 설계를 통해 PRNG 상태를 병렬 확률적 생성을 위해 사용하기 위해 새로운 PRNG로 분기할 수 있습니다.

무작위 상태는 키(`key`)라고 부르는 두 개의 unsigned-int32로 설명됩니다.


```python
from jax import random
key = random.PRNGKey(0)
key
```

JAX의 임의 함수는 PRNG 상태에서 의사 난수를 생성하지만 상태를 변경하지는 않습니다!

동일한 상태를 재사용하는 행위는 **슬픔**과 **단조로움**을 유발하며 결국 최종 사용자에게 **혼돈을 불어넣는 결과**를 초래할 수 있습니다! <br>
(Reusing the same state will cause **sadness** and **monotony**, depriving the end user of **lifegiving chaos**:)


```python
print(random.normal(key, shape=(1,)))
print(key)
# No no no!
print(random.normal(key, shape=(1,)))
print(key)
```

대신, 새로운 의사 난수가 필요할 때마다 PRNG를 분할하여 사용 가능한 하위 키를 얻습니다.


```python
print("old key", key)
key, subkey = random.split(key)
normal_pseudorandom = random.normal(subkey, shape=(1,))
print("    \---SPLIT --> new key   ", key)
print("             \--> new subkey", subkey, "--> normal", normal_pseudorandom)
```

새로운 난수가 필요할 때마다 키를 전파하고 새 하위 키를 만듭니다.


```python
print("old key", key)
key, subkey = random.split(key)
normal_pseudorandom = random.normal(subkey, shape=(1,))
print("    \---SPLIT --> new key   ", key)
print("             \--> new subkey", subkey, "--> normal", normal_pseudorandom)
```

한 번에 둘 이상의 하위키를 만들 수 있습니다.


```python
key, *subkeys = random.split(key, 4)
for subkey in subkeys:
  print(random.normal(subkey, shape=(1,)))
```

## **🔪 제어 흐름 (Control Flow)**



**✔ python control_flow + autodiff ✔**

Python 함수에 `grad`를 적용하려는 경우 [Autograd](https://github.com/hips/autograd)(또는 Pytorch 또는 TF Eager)를 사용하는 것처럼 문제 없이 일반적인 Python 제어 흐름 구성을 사용할 수 있습니다.


```python
def f(x):
  if x < 3:
    return 3. * x ** 2
  else:
    return -4 * x

print(grad(f)(2.))  # ok!
print(grad(f)(4.))  # ok!
```

**Python control flow + JIT**

`jit`와 함께 제어 흐름을 사용하는 것은 더 복잡하며 기본적으로 더 많은 제약이 있습니다.

이 예시는 동작합니다.


```python
@jit
def f(x):
  for i in range(3):
    x = 2 * x
  return x

print(f(3))
```

아래 예시도 동작합니다.


```python
@jit
def g(x):
  y = 0.
  for i in range(x.shape[0]):
    y = y + x[i]
  return y

print(g(jnp.array([1., 2., 3.])))
```

하지만 이 예시는 기본적으로 동작하지 않습니다.


```python
@jit
def f(x):
  if x < 3:
    return 3. * x ** 2
  else:
    return -4 * x

# This will fail!
f(2)
```

**왜 그럴까!?**

함수를 `jit` 컴파일할 때 일반적으로 컴파일된 코드를 캐시하여 다양한 인수 값에 대해 작동하는 함수 버전을 컴파일하여 재사용할 수 있도록 합니다. 이러한 방식으로 각 함수 평가마다 다시 컴파일할 필요가 없습니다.

예를 들어 `jnp.array([1., 2., 3.], jnp.float32)` 배열에서 `@jit` 함수를 평가하기 위해  `jnp.array([4., 5., 6.], jnp.float32)`에서 사용했던 컴파일된 코드를 재사용하여 하여 컴파일에 수행되는 시간을 절약할 수 있습니다.

JAX는 Python 코드의 다양한 인수 값에 유효한 뷰를 얻기 위해 JAX는 가능한 입력 집합을 나타내는 추상 값으로 코드를 추적합니다. [다양한 추상화 수준](https://github.com/google/jax/blob/main/jax/_src/abstract_arrays.py)이 있으며 서로 다른 변환은 서로 다른 추상화 수준을 사용합니다.

기본적으로 `jit`은 `ShapedArray` 추상화 수준에서 코드를 추적합니다. 각 추상 값은 고정된 모양과 dtype을 가지는 모든 배열 값의 집합을 나타냅니다. 예를 들어 추상 값 `ShapedAray((3,), jnp.float32)`를 사용하여 추적하면 해당 배열 세트의 구체적인 값에 대해 재사용할 수 있는 함수의 뷰를 얻을 수 있습니다. 즉, 컴파일 시간을 줄일 수 있다는 것을 의미합니다.

그러나 여기에는 장단점이 있습니다. 특정 구체적인 값이 결정되지 않은 `ShapedArray((), jnp.float32)`에서 Python 함수를 추적하는 경우 `if x < 3`과 같은 줄에 도달하면 표현식 `x < 3`은 `{True, False}` 집합을 나타내는 추상 `ShapedArray((), jnp.bool_)`로 평가됩니다. Python이 이를 구체적인 `True` 또는 `False`로 강제하려고 하면 오류가 발생합니다. 어떤 분기를 선택해야 할지 모르고 추적을 계속할 수 없습니다! 단점은 추상화 수준이 높을수록 Python 코드에 대한 보다 일반적인 뷰를 얻을 수 있지만(따라서 재컴파일을 줄일 수 있습니다.) 추적을 완료하려면 Python 코드에 더 많은 제약이 필요하다는 것입니다.

좋은 소식은, 이 트레이드오프를 직접 제어할 수 있다는 것입니다. 보다 정밀한 추상 값에 대한 `jit` 추적을 통해 추적 가능성 제약을 완화할 수 있습니다. 예를 들어 `jit`에 `static_argnums` 인수를 사용하여 일부 인수의 구체적인 값을 추적하도록 지정할 수 있습니다. 다음은 이에 대한 예제 함수입니다.


```python
def f(x):
  if x < 3:
    return 3. * x ** 2
  else:
    return -4 * x

f = jit(f, static_argnums=(0,))

print(f(2.))
```

루프를 포함한 또다른 예제입니다.


```python
def f(x, n):
  y = 0.
  for i in range(n):
    y = y + x[i]
  return y

f = jit(f, static_argnums=(1,))

f(jnp.array([2., 3., 4.]), 2)
```

static_argnums를 이용한 효과로 인해 루프가 정적으로 펼쳐집니다. JAX는 또한 Unshaped와 같은 더 높은 수준의 추상화에서 추적할 수 있지만 현재 변환의 기본값은 아닙니다.

 **⚠️ 인수 값에 따라 형태가 바뀌는 함수**

이러한 제어 흐름 문제는 보다 미묘한 방식으로도 나타납니다. jit 하려는 수치 함수는 내부 배열의 모양을 인수 값에 따라 특정할 수 없습니다(인수 모양에 따라 특정하는 것은 괜찮습니다). 간단한 예로 입력 변수 `길이`에 따라 출력이 달라지는 함수를 만들어 보겠습니다.


```python
def example_fun(length, val):
  return jnp.ones((length,)) * val
# un-jit'd works fine
print(example_fun(5, 4))
```


```python
bad_example_jit = jit(example_fun)
# this will fail:
bad_example_jit(10, 4)
```


```python
# static_argnums tells JAX to recompile on changes at these argument positions:
good_example_jit = jit(example_fun, static_argnums=(0,))
# first compile
print(good_example_jit(10, 4))
# recompiles
print(good_example_jit(5, 4))
```

`static_argnums`는 예제에서 `길이`의 변경이 잦지 않은 경우에는 편리할 수 있지만 변경이 잦은 경우 재앙이 될 수 있습니다!

마지막으로 함수에 전역적인 부수효과들이 있는 경우 JAX의 추적 프로그램으로 인해 이상한 일이 발생할 수 있습니다. 일반적인 문제는 **jit**'d 함수 내에서 배열을 출력하려고 시도할 때 발생할 수 있습니다.


```python
@jit
def f(x):
  print(x)
  y = 2 * x
  print(y)
  return y
f(2)
```

### 구조적 제어 흐름 기본 요소

JAX에는 제어 흐름에 대한 다양한 옵션이 많이 있습니다. 예를 들어 재컴파일을 피하고 추적 가능한 제어 흐름을 사용하면서 큰 루프를 풀고 싶지 않다면 아래의 4가지 구조적 제어 흐름 기본 구조를 사용할 수 있습니다.

- `lax.cond` *differentiable*
- `lax.while_loop` **fwd-mode-differentiable**
- `lax.fori_loop` **fwd-mode-differentiable** in general; **fwd and rev-mode differentiable** if endpoints are static.
- `lax.scan` *differentiable*

### `cond`


```python
def cond(pred, true_fun, false_fun, operand):
  if pred:
    return true_fun(operand)
  else:
    return false_fun(operand)
```


```python
from jax import lax

operand = jnp.array([0.])
lax.cond(True, lambda x: x+1, lambda x: x-1, operand)
# --> array([1.], dtype=float32)
lax.cond(False, lambda x: x+1, lambda x: x-1, operand)
# --> array([-1.], dtype=float32)
```

`jax.lax`에는 동적 조건에 따라 분기할 수 있는 다른 두 개의 함수가 제공됩니다.

- [`lax.select`](https://jax.readthedocs.io/en/latest/_autosummary/jax.lax.select.html)는 `lax.cond`의 배치 버전이지만, 선택지는 이전에 계산된 배열로 표현됩니다.
- [`lax.switch`](https://jax.readthedocs.io/en/latest/_autosummary/jax.lax.switch.html)는 `lax.cond`와 유사하지만, 어떤 수의 호출 가능한 선택지 사이에 전환할 수 있습니다.

또한, `jax.numpy`에서는 이러한 함수에 대한 다수의 Numpy 스타일 인터페이스가 제공됩니다.

- [`jnp.where`](https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.where.html)는 3개의 인수가있는 lax.select의 Numpy 스타일 래퍼(wrapper)입니다.
- [`jnp.piecewise`](https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.piecewise.html)는 `lax.switch`의 Numpy 스타일 래퍼(wrapper)이지만, 단일 스칼라 인덱스 대신에 불리언 조건의 목록에 따라 전환합니다.
- [`jnp.select`](https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.select.html)는 `jnp.piecewise`와 유사한 API를 가지지만, 선택지는 사전 계산된 배열로 제공됩니다. 결과적으로 `lax.select`의 여러 호출로 구현됩니다.

### `while_loop`


```python
def while_loop(cond_fun, body_fun, init_val):
  val = init_val
  while cond_fun(val):
    val = body_fun(val)
  return val
```


```python
init_val = 0
cond_fun = lambda x: x<10
body_fun = lambda x: x+1
lax.while_loop(cond_fun, body_fun, init_val)
# --> array(10, dtype=int32)
```

### `fori_loop`


```python
def fori_loop(start, stop, body_fun, init_val):
  val = init_val
  for i in range(start, stop):
    val = body_fun(i, val)
  return val
```


```python
init_val = 0
start = 0
stop = 10
body_fun = lambda i,x: x+i
lax.fori_loop(start, stop, body_fun, init_val)
# --> array(45, dtype=int32)
```

### Summary

![스크린샷 2023-02-05 오후 10.08.19.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABNYAAAJKCAYAAADgAci9AAAKq2lDQ1BJQ0MgUHJvZmlsZQAASImVlwdQU1kXgO97L52ElhABKaE3QToBpIQeQOnVRkhCCCXGQGgiNhZXcC2oiGBFVwUUXJUiawFEsS2KBewLsogo62JBVFT+BwzB3X/+/5//vLlzvjnv3HPuuXPvm/MAoChyxOIUWBGAVFG6JNTXgxEdE8vADwAIfRSAMbDkcNPErODgQIDKtP67fOhCfVG5Yz4R69/f/1dR4vHTuABAwSjH89K4qSifRsdLrliSDgCyH7XrZaaLJ7gNZZoEXSDK9ydYMMVDExw/yRgw6RMe6okyDQACmcORCAAgM1A7I4MrQOOQ3VG2FPGEIpTFKLumpi7joXwCZWPUB7WRJ+Iz47+LI/hbzHhZTA5HIOOpWiaF4CVME6dwsv/P7fjfkpoinc5hiA5yosQvFNXK6J7dT14WIGNR/IKgaRbyJv0nOVHqFzHN3DTP2GnmcbwCZHNTFgROc4LQhy2Lk84On2Z+mnfYNEuWhcpyJUg8WdPMkczklSZHyOyJfLYsfk5ieNQ0ZwgjF0xzWnJYwIyPp8wukYbK1s8X+XrM5PWR1Z6a9l29QrZsbnpiuJ+sds7M+vki1kzMtGjZ2nh8L+8ZnwiZvzjdQ5ZLnBIs8+en+MrsaRlhsrnp6IGcmRss28Mkjn/wNINA4AsYwA94gVBU2wK0+nR+VvpEIZ7LxNkSoSAxncFCbxifwRZxLeYwrC2tbQCYuK9Tx+EdffIeQvRrM7a8uwA4/o5C84wtpBOAM/kAKB6bsRlaoUdpDwAtLVypJGPKNnmXsICEfgdoQA1oAT30e2AOrIE9cAbuwBv4gyAQDmLAEsAFiSAVSEAmyAVrQAEoAlvADlAG9oGD4Cg4Dk6CBnAWtIDL4Dq4Be6BR6AH9INXYBh8AGMQBOEhCkSF1CBtyAAyg6whJuQKeUOBUCgUA8VBAkgESaFcaB1UBBVDZdABqBL6BToDtUBXoU7oAdQLDUJvoc8wApNhGqwJG8JzYSbMggPgcHgxLICXwzlwPrwJLoUr4GNwPdwCX4fvwT3wK3gEAYgcQkd0EHOEiXgiQUgskoBIkDykEClBKpAapAlpR+4gPcgQ8gmDw1AxDIw5xhnjh4nAcDHLMXmYjZgyzFFMPaYNcwfTixnGfMNSsBpYM6wTlo2NxgqwmdgCbAn2MLYOewl7D9uP/YDD4eg4I5wDzg8Xg0vCrcBtxO3B1eKacZ24PtwIHo9Xw5vhXfBBeA4+HV+A34U/hr+Av43vx38kyBG0CdYEH0IsQURYSyghVBHOE24TBghjREWiAdGJGETkEbOJm4mHiE3Em8R+4hhJiWREciGFk5JIa0ilpBrSJdJj0js5OTldOUe5EDmh3Gq5UrkTclfkeuU+kZXJpmRP8iKylLyJfITcTH5AfkehUAwp7pRYSjplE6WScpHylPJRnipvIc+W58mvki+Xr5e/Lf9agahgoMBSWKKQo1CicErhpsKQIlHRUNFTkaOYp1iueEaxW3FEiapkpRSklKq0UalK6arSC2W8sqGytzJPOV/5oPJF5T4qQtWjelK51HXUQ9RL1H4ajmZEY9OSaEW047QO2rCKsoqtSqRKlkq5yjmVHjpCN6Sz6Sn0zfST9C7651mas1iz+LM2zKqZdXvWqOpsVXdVvmqhaq3qPdXPagw1b7Vkta1qDWpP1DHqpuoh6pnqe9UvqQ/Nps12ns2dXTj75OyHGrCGqUaoxgqNgxo3NEY0tTR9NcWauzQvag5p0bXctZK0tmud1xrUpmq7agu1t2tf0H7JUGGwGCmMUkYbY1hHQ8dPR6pzQKdDZ0zXSDdCd61ure4TPZIeUy9Bb7teq96wvrb+fP1c/Wr9hwZEA6ZBosFOg3aDUUMjwyjD9YYNhi+MVI3YRjlG1UaPjSnGbsbLjSuM75rgTJgmySZ7TG6ZwqZ2pomm5aY3zWAzezOh2R6zzjnYOY5zRHMq5nSbk81Z5hnm1ea9FnSLQIu1Fg0Wr+fqz42du3Vu+9xvlnaWKZaHLB9ZKVv5W621arJ6a21qzbUut75rQ7HxsVll02jzxtbMlm+71/a+HdVuvt16u1a7r/YO9hL7GvtBB32HOIfdDt1MGjOYuZF5xRHr6OG4yvGs4ycne6d0p5NOfzmbOyc7Vzm/mGc0jz/v0Lw+F10XjssBlx5Xhmuc637XHjcdN45bhdszdz13nvth9wGWCSuJdYz12sPSQ+JR5zHq6eS50rPZC/Hy9Sr06vBW9o7wLvN+6qPrI/Cp9hn2tfNd4dvsh/UL8Nvq183WZHPZlexhfwf/lf5tAeSAsICygGeBpoGSwKb58Hz/+dvmP15gsEC0oCEIBLGDtgU9CTYKXh78awguJDikPOR5qFVobmh7GDVsaVhV2Idwj/DN4Y8ijCOkEa2RCpGLIisjR6O8ooqjeqLnRq+Mvh6jHiOMaYzFx0bGHo4dWei9cMfC/kV2iwoWdS02Wpy1+OoS9SUpS84tVVjKWXoqDhsXFVcV94UTxKngjMSz43fHD3M9uTu5r3juvO28Qb4Lv5g/kOCSUJzwQuAi2CYYTHRLLEkcEnoKy4RvkvyS9iWNJgclH0keT4lKqU0lpMalnhEpi5JFbcu0lmUt6xSbiQvEPcudlu9YPiwJkBxOg9IWpzWm09DG6IbUWPqDtDfDNaM842NmZOapLKUsUdaNbNPsDdkDOT45P6/ArOCuaM3VyV2T27uStfJAHpQXn9e6Sm9V/qr+1b6rj64hrUle89tay7XFa9+vi1rXlK+Zvzq/7wffH6oL5AskBd3rndfv+xHzo/DHjg02G3Zt+FbIK7xWZFlUUvRlI3fjtZ+sfir9aXxTwqaOzfab927BbRFt6drqtvVosVJxTnHftvnb6rczthduf79j6Y6rJbYl+3aSdkp39pQGljbu0t+1ZdeXssSye+Ue5bW7NXZv2D26h7fn9l73vTX7NPcV7fu8X7j//gHfA/UVhhUlB3EHMw4+PxR5qP1n5s+Vh9UPFx3+ekR0pOdo6NG2SofKyiqNqs3VcLW0evDYomO3jnsdb6wxrzlQS68tOgFOSE+8/CXul66TASdbTzFP1Zw2OL27jlpXWA/VZ9cPNyQ29DTGNHae8T/T2uTcVPerxa9HzuqcLT+ncm7zedL5/PPjF3IujDSLm4daBC19rUtbH12Mvni3LaSt41LApSuXfS5fbGe1X7jicuXsVaerZ64xrzVct79ef8PuRt1vdr/Vddh31N90uNl4y/FWU+e8zvO33W633PG6c/ku++71ewvudXZFdN3vXtTdc593/8WDlAdvHmY8HHu0+jH2ceETxSclTzWeVvxu8nttj33PuV6v3hvPwp496uP2vfoj7Y8v/fnPKc9LBrQHKl9Yvzg76DN46+XCl/2vxK/Ghgr+VPpz92vj16f/cv/rxnD0cP8byZvxtxvfqb078t72fetI8MjTD6kfxkYLP6p9PPqJ+an9c9TngbHML/gvpV9NvjZ9C/j2eDx1fFzMkXAmWwEEHXBCAgBvjwBAiQGAegsA0sKpfnpSoKl/gEkC/4mneu5JsQegxh2AoGYAvFYDUIlqQ1ST0THREoW7A9jGRjame9/JPn1CtND/hMxggDBsHws0s8A/ZKqH/27d/9RAFvVv+l+iiQTDy/GjTQAAAIplWElmTU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUAAAABAAAARgEoAAMAAAABAAIAAIdpAAQAAAABAAAATgAAAAAAAACQAAAAAQAAAJAAAAABAAOShgAHAAAAEgAAAHigAgAEAAAAAQAABNagAwAEAAAAAQAAAkoAAAAAQVNDSUkAAABTY3JlZW5zaG90oRTEGwAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAAddpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDYuMC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+NTg2PC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6UGl4ZWxYRGltZW5zaW9uPjEyMzg8L2V4aWY6UGl4ZWxYRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpVc2VyQ29tbWVudD5TY3JlZW5zaG90PC9leGlmOlVzZXJDb21tZW50PgogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4KICAgPC9yZGY6UkRGPgo8L3g6eG1wbWV0YT4KgpDlnwAAABxpRE9UAAAAAgAAAAAAAAElAAAAKAAAASUAAAElAAGjLrO1iFMAAEAASURBVHgB7H0HoCdFkX4/wJOoApKD6VAx4R1LFsRTQIxkBFRyVlBBggIeGVGCBCWnU/gfnGRRggpIkrgEFRNBgiIKkvO+f4X+qqt7Zt7CkxUWasSpr6q+7v5NTXXPvN6emZFR2lLPxsYRbyfDKBlg41IjWVGuKwEocjSNUimU0ypB8A3UuMMgQ7Qf8UceRf5F/4vxx4+mbsQEFBnjb1x/4vqL64bvMfUdR62hC5mVDHH/EfcfyKO4/4j7j7j/8KOpGzEBRcb9R9x/xP0Hrhu+x9i9RQ9AFzIXGeL+Y+q5/xjBxFpn+PN3DnZ2C+jwi4sQ0gIyO6FCGo9LNMNPtF/uXKrYqtKJV8VBgCEj/hIBhAMy8o/CokN+J5+i/0X/w18O1diiSidfKg46GGR2QoWM/keBif7H2dHJpxh/YvyJ8ScPnF3R6S8VBQMsZHZChYzxlwIT4y9nRyefYvyN8TfG3zxwdkWnv1QUDLCQ2QkVMsZfCswrc/wdGZ1EI6gem6WGnXey8IK2kdzBvN3IGXR8jaFRpZTYehzeFO1H/CP/MPhgGGp7H98YNb7G0KjR/ygCEpOewHhTjD8x/sT4E+MPD5h+XJAB1O06vsbQqFJSbD0Ob4rxJ8afGH9i/OEBw48LbugpY4k3NuRGLWV6HN4U40+MPzH+xPjDA4YfF/xQ0+tryI0qxcXW4/CmqXX8sRVrGih/SG24Wh/5e0wwqov2fv2iNkI2svfOhrcVet3jXFGPKdrXoNg+4t/MOHHeUnQi/9AbnWw7lNc9jv4nEegJSYw/GhTbx/gT44/el5ZxJsbfuP7E9bf0B0PtBcXrHucCPaa4/mhQbB/Xn7j+xPXHRhgBcf2N629cf+s+oR2D9n6w8BdYj3PRHhOuvzKx5mcF1cEFcwNSWGvgPW9oulhri7LcXgrSrvdkUovU0TErHu03UZYgy07mMSP+kX91b9Pc0N7mcfQ/iwCHhXtPjD8WEg9i/I3rT1x//ajKvSPrMqTquCrDSPHkf1dUn/Ynj9UieylIuxh/XFAKjPEnxp8Yf2L80RFBBkuCMf5KPOSSIrv4+y9fMnxPGclX4ZI78GYyC0kp2sX11wWlwLj+vvjXX12x1nTeEUlECnxPjpbTUaOqSKXUPNY6bjZIo7mbdAjdOlpLVaRSWma03wkPGyL+HAQdpjsB6uZQa6mKVErLjPzrhIcNkX8chMg/pAJ3m7j+cBSe11b1qUrpFu+4o//F+BPjL3WUGH9tKOBhI8bf7uA5YKnG1ErpFui4LeiRfxYKDlvkXzd5BixVTlVKt0DHbUGP/LNQcNgi/7rJM2CpcqpSugU6bgv6Kyf/RugVa7xY2m1ylFl3Ichm72WS6gNO1EruUbpxK98GQS19rwCED7WzpF840ISaB5zRvkaAwhPxj/yL/oeRLo8XNKj4rLDOYldU5vEW40+Mv1UaSFbwTjMp5xPSyrwZkD3GX9/TEKjofz4qmi2IDWuMeYvxJ8afKg0kK3in2ZJzxqeOMZQU44/vaQhUjD8+KpoyiA1rjHmL8SfGnyoNJCt4p9mSc8anjjGUFOOP72kIVIw/PiqaMogNa4x5m/rGH1qxNol+vZsppGNoN3+ore/56FV5Fystq17ZV8RS84C5ECaDqvKs8GbHqV7ZV0Sl8X7AXAiTQVV5VniL9jUOfmiuApXdJAbMhTAZVJWP+Gu0Iv9y1mh2yL5KlJJUA+ZCmAyqyrPCW8Rf4xD9X5JBcqRKlBweEgPmQpgMqsqzwlvkn8Yh8k+SQXKkSpQcHhID5kKYDKrKs8Jb5J/GIfJPkkFypEqUHB4SA+ZCmAyqyrPCW+SfxiHyT5JBcqRKlBweEgPmQpgMqsqzwlvkn8Yh8k+SQXKkSpQcHhID5kKYDKrKs8Jb5J/GYQrlX/l4QRX93CYEXnZInL53gYLWJ0u1fbOzrkQhOmOG0T51BOoJEf/IP0oDGxO7PaVjKd0q+l/3X0dcuEqgnDHDGH9i/InxN64/cf2N629cf+P+o3uHMGgptxVx/xX3X+WZkU7ClETpuOxja3H9ietPXH+miutPz6OguV/LH5OM+/+MH2sckElADA+9xXPpsQaKaD+HvjeAY89ic3ix9RaP+EtwI/+GL1TR/6L/ydjRO4DE+EPja39kyBHjL64+A0GK609cf6j3xPU3rr+UBr3jaNx/5MD0Rieuv3H97e83fOWN+4+4/0AEeoePuP+a0vdf9iionIccb5wTlrWpnBDp1bXTFVMH3JBGqAxOcRDc2pQ1GCFBNqkOuCEbd1ad10Fwa1PWYIQE2aQ64IZs3Fl1XgfBrU1ZgxESZJPqgBuycWfVeR0EtzZlDUZIkE2qA27Ixp1V53UQ3NqUNRghQTapDrghG3dWnddBcGtT1mCEBNmkOuCGbNxZdV4Hwa1NWYMREmST6oAbsnFn1XkdBLc2ZQ1GSJBNqgNuyMadVed1ENzalDUYIUE2qQ64IRt3Vp3XQXBrU9ZghATZpDrghmzcWXVeB8GtTVmDERJkk+qAG7JxZ9V5HQS3NmUNRkiQTaoDbsjGnVXndRDc2pQ1GCFBNqkOuCEbd1ad10Fwa1PWYIQE2aQ64IZs3Fl1XgfBrU1ZgxESZJPqgBuycWfVeR0EtzZlDUZIkE2qA27Ixp1V53UQ3NqUNRghQTapDrghG3dWnddBcGtT1mCEBNmkOuCGbNxZdV4Hwa1NWYMREmST6oAbsnFn1XkdBLc2ZQ1GSJBNqgNuyMadVed1ENzalDUYIUE2qQ64IRt3Vp3XQXBrU9ZghATZpDrghmzcWXVeB8GtTVmDERJkk+qAG7JxZ9V5HQS3NmUNRkiQTaoDbsjGnVXndRDc2pQ1GCFBNqkOuCEbd1ad10Fwa1PWYIQE2aQ64IZs3Fl1XgfBrU1ZgxESZJPqgBuycWfVeR0EtzZlDUZIkE2qA27Ixp1V53UQ3NqUNRghQTapDrghG3dWnddBcGtT1mCEBNmkOuCGbNxZdV4Hwa1NWYMREmST6oAbsnFn1XkdBLc2ZQ1GSJBNqgNuyMadVed1ENzalDUYIUE2qQ64IRt3Vp3XQXBrU9ZghATZpDrghmzcWXVeB8GtTVmDERJkk+qAG7JxZ9V5HQS3NmUNRkiQTaoDbsjGnVXndRDc2pQ1GCFBNqkOuCEbd1ad10Fwa1PWYIQE2SStzbWPF4AEaaQuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjCx62ktRTcEANlt1ixKGSZ2Pa2l6IYAIK21LlDKMLHraS1FNwQA2W3WLEoZJnY9raXohgAgrbUuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjCx62ktRTcEANlt1ixKGSZ2Pa2l6IYAIK21LlDKMLHraS1FNwQA2W3WLEoZJnY9raXohgAgrbUuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjCx62ktRTcEANlt1ixKGSZ2Pa2l6IYAIK21LlDKMLHraS1FNwQA2W3WLEoZJnY9raXohgAgrbUuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjCx62ktRTcEANlt1ixKGSZ2Pa2l6IYAIK21LlDKMLHraS1FNwQA2W3WLEoZJnY9raXohgAgrbUuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjCx62ktRTcEANlt1ixKGSZ2Pa2l6IYAIK21LlDKMLHraS1FNwQA2W3WLEoZJnY9raXohgAgrbUuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjCx62ktRTcEANlt1ixKGSZ2Pa2l6IYAIK21LlDKMLHraS1FNwQA2W3WLEoZJnY9raXohgAgrbUuUMowsetpLUU3BADZbdYsShkmdj2tpeiGACCttS5QyjBRPPRRUJZuQwGYeS0hYbxcDW61uuWocEC6Kh00rwDTehjs4y3aj/hTLkT+WVdAp6t7DzRI7T3t3rwCTHM02FjyFv0v+h/lQvQ/6wrR/3RkwEhRa7VVfWVvXgGmFYKtkWcfbzH+xPhDuRDjj3WFGH90ZKhHD2iQymn35hVgmqPBxpK3GH9i/KFciPHHukKMPzoyYKSotdqqvrI3rwDTCiHufygWecyVqEyd4+8IfRSU1q31nWB3rgn2M2CFbMpw1fzSZypdvbiS6BintOL+8r62fgaskL4EtRHtR/wj/6L/xfgT4y9drPlKJBtdLuL6o7cvcf2ljIj7Hw6C9o2B/cAdVi434I37r7j/ivsv6iPx90/8/Rf3H3aFifuvuP+kZJB8kFuH/vsHfyvSz4AV0pd4aed/5Kug1c8yxUD9a3s0MOk+Sj9emaVRQTBDDSq3KQZqco8GZrQf8ZeP91FCyP0ccgUJAr2RldsUAw27q4IZ+Rf5F/nHF7TofzH+uHESA6QzeVi5TTHgqb0YTOQdpJFBMEMNKrcpBmpyjwYm2oU0KghmqEHlNsVATe7RwES7kEYFwQw1qNymGKjJPRqYaBfSqCCYoQaV2xQDNblHAxPtQhoVBDPUoHKbYqAm92hgol1Io4JghhpUblMM1OQeDUy0C2lUEMxQg8ptioGa3KOBiXYhjQqCGWpQuU0xUJN7NDDRLqRRQTBDDSq3KQZqco8GJtqFNCoIZqhB5TbFQE3u0cBEu5BGBcEMNajcphioyT0amGgX0qggmKEGldsUAzW5RwMT7UIaFQQz1KBym2KgJvdoYKJdSKOCYIYaVG5TDNTkHg1MtAtpVBDMUIPKbYqBmtyjgYl2IY0KghlqULlNMVCTezQw0S6kUUEwQw0qtykGanKPBibahTQqCGaoQeU2xUBN7tHARLuQRgXBDDWo3KYYqMk9GphoF9KoIJihBpXbFAM1uUcDE+1CGhUEM9SgcptioCb3aGCiXZHto6BKAlVrqWwo3dNAv6nUJYh2tlqgp0DVVvZXtmi/+au1J4iVSaPHJkG0i/hTCKsYFaXKtWyubJF/kX/VrEnJnX6k2cM+QbSL/hf9L8afsXpL6TPWb7T3UOchX/S//uD1WkssBdEuxp8Yf2L86e0seZQpfSbGn3zfEuMvpQL1mrj+xPU37j/6B89eaxlLX033H7JircSjBAHjKIZVcBzDxhgEbHC2olSGagakq92gASnjNYxxYvOOTu1jOh3b8QwaiPYpAj4aEX+9xkhMfGBcRikc0+nYjmfQgPC8FvGP+PM1XnLCJ4bLqMg/jsCYwXHRcjyDBoTnteh/0f+i/8X4I2OCHxjciKJwTKdjO55BAzH+UAR8NGL8jfE3xt8Yf2VM8AODG1EVjul0bMczaEB4XovxJ8afofGnmVhrLlyUSkP/sgWmTzSXoR2ovMIWVFTje5PHRjCg3rE5Rs4X5MIWVFQjepPHRjCg3rE5Ro72KRQj7rZI4tYTPG/yuEQSSL1jc8DtZquU6ynsTR6XmoDUOzYH3Gi/jZboPcHzJo9LJIHUOzYH3Ih/Gy3Re4LnTR6XSAKpd2wOuBH/Nlqi9wTPmzwukQRS79gccCP+bbRE7wmeN3lcIgmk3rE54Eb822iJ3hM8b/K4RBJIvWNzwI34t9ESvSd43uRxiSSQesfmgBvxb6Mlek/wvMnjEkkg9Y7NATfi30ZL9J7geZPHJZJA6h2bA27Ev42W6D3B8yaPSySB1Ds2B9yIfxst0XuC500el0gCqXdsDrivvvjbxNpwgPDiTccwaKBEUNCQnZ3wQWrRWlMbPPriS8cwaMAXIDxkZxp8kFq01tQGT7TPL950ETJowAeM8JCdafBBatFaUxs8Ef+If+Sf6yEGDfgOQ3jIzjT4ILVorakNnuh/0f+i/7keYtCA7zCEh+xMgw9Si9aa2uCJ/hf9L/qf6yEGDfgOQ3jIzjT4ILVorakNnuh/0f+i/7keYtCA7zCEh+xMgw9Si9aa2uCJ/hf9b2rrfzSxNoly2q1Lsww34LO8wjUDE3CZUjlJyS/2wPLJUlFFLP3OOmBhtqguGe3rABTxlwhUyRH5F/2Pxjh+bJJSgZfvlq1KlBh/LBwGSqgaVDNi/I3xl28A81YlBylx/Y/xJ8bfuP7QUBDXXwySLKuB0qmN3RfJuGbE9Teuv3H9jfuPvsGBRoq4//qX3n/ZijU3osuZKcN0QZ2xvR7Zzd2aoav0eytCACy1lVYL8mzBdRFzt2boKv3eihAAS22l1YI8W3BdxNytGbpKv7ciBMBSW2m1IM8WXBcxd2uGrtLvrQgBsNRWWi3IswXXRczdmqGr9HsrQgAstZVWC/JswXURc7dm6Cr93ooQAEttpdWCPFtwXcTcrRm6Sr+3IgTAUltptSDPFlwXMXdrhq7S760IAbDUVlotyLMF10XM3Zqhq/R7K0IALLWVVgvybMF1EXO3Zugq/d6KEABLbaXVgjxbcF3E3K0Zukq/tyIEwFJbabUgzxZcFzF3a4au0u+tCAGw1FZaLcizBddFzN2aoav0eytCACy1lVYL8mzBdRFzt2boKv3eihAAS22l1YI8W3BdxNytGbpKv7ciBMBSW2m1IM8WXBcxd2uGrtLvrQgBsNRWWi3IswXXRczdmqGr9HsrQgAstZVWC/JswXURc7dm6Cr93ooQAEttpdWCPFtwXcTcrRm6Sr+3IgTAUltptSDPFlwXMXdrhq7S760IAbDUVlotyLMF10XM3Zqhq/R7K0IALLWVVgvybMF1EXO3Zugq/d6KEABLbaXVgjxbcF3E3K0Zukq/tyIEwFJbabUgzxZcFzF3a4au0u+tCAGw1FZaLcizBddFzN2aoav0eytCACy1lVYL8mzBdRFzt2boKv3eihAAS22l1YI8W3BdxNytGbpKv7ciBMBSW2m1IM8WXBcxd2uGrtLvrQgBsNRWWi3IswXXRczdmqGr9HsrQgAstZVWC/JswXURc7dm6Cr93ooQAEttpdWCPFtwXcTcrRm6Sr+3IgTAUltptSDPFlwXMXdrhq7S760IAbDUVlotyLMF10XM3Zqhq/R7K0IALLWVVgvybMF1EXO3Zugq/d6KEABLbaXVgjxbcF3E3K0Zukq/tyIEwFJbabUgzxZcFzF3a4au0u+tCAGw1FZaLcizBddFzN2aoav0eytCACy1lVYL8mzBdRFzt2boKv3eihAAS22l1YI8W3BdxNxi5q+CYhVHVYUrpNDtnU9+kOj8z5FUt00ZcztkGOsTVPmnRPv6r3gRf/dvTi6XFLq980X+UTAkHtH/YvyJ8TeuP/miKoLHBhoXqmuy9yuO629cf/UlvHH9tTUf7h5Dods7X9x/UDAkHnH/EfcfdD2prjWcG3H9qWMS1982AnH/Efcfr7T7D7dirUn36uaBfd6Qp4C8yYq76SHzG8jVON3KNaBD8YZoX26BfUgsfBF/+/PA4mMg8k9C4eJhedOADsUbov9F/6M/QX1KWPrE+BPjT56esPwwEOOvhMLFw/pNAzoUb4jxN8bfGH/j+kNjRjWRxWNIXH/j+hvXX+kWdsk0EPcfEgoXj+a2w9QOxRvi/mOy9x+6Xk0HZB6l6/DlcdsbJfLOIFB13vNWxvrCA4JUpt+rx/sNGwDfGQSqznveon2NQx5FREHEIMEossQQ8TOuAbCdQaDqvOcN5aP9EicgSI2U36vH+w0bAN8ZBKrOe94i/hqHyL+SJ0CQiFCR6vF+wwbAdgaBqvOet8g/jUPkX8kTIEhEqEj1eL9hA2A7g0DVec9b5J/GIfKv5AkQJCJUpHq837ABsJ1BoOq85y3yT+MQ+VfyBAgSESpSPd5v2ADYziBQdd7zFvmncYj8K3kCBIkIFake7zdsAGxnEKg673mL/NM4RP6VPAGCRISKVI/3GzYAtjMIVJ33vL0c8k9WrNnPNKA/0L9p1VwGMgeitffqMGZZC5+HWivWiJKGkgWg4SyNMJYOUt0wrJ26o33KUk3TwRjhNBgh4i8R6I0HjFnWwiU5YkiEiH8dToQwh8hEa+/VYcyyFhF/hAdBjfEv+l+MPzH+UARsaDCAQSLL1t6rw5hlLVwjqJMIkX8SDESunIiIfxUBCxByh2T5CyvnFkhZ1iLyD+FBYOP6H+NPjL/SG6xrGEAnybK19+owZlmLGH8QHoR2Kh5/yqOg7iBwXCxxrJDeB1x8BcEHKZ6O2xmifRvEETOWiBCk9wEXX0HwQYqn43aGiH/EP19EkTMskSGQ3gdcfAXBBymejtsZIv8i/yL/0F1MoodAmsOB4ivIuQWKp+N2huh/0f+i/7XdJq5/FBGen3IjxWCMxmLF+ENx7ATRGWL8jfE3xt/BscX1lEFOjD/DURJPx+0MMf68qONPmVjz6eriLeZWN27X0bUYuQAijdJVJj8JXuxAbSWtDl7P5X6QamUIRPsR/8i/6H/VP2m7AaIdRFrdqF1H12LkAogU41+M/3H980tKSvfoXNYHO1XX0bW4egGj/8X4E9f/uP7H9R8jYi3bQbTVjd11dC1GLoBIcf8T9z9x/xP3P2VQcKgdRFrdqF1H12LkAog0pcefemJNGtR/oZJfMTCLab/QHYVCZ2ASVJG8YxN1p2yHWxzqpAOO9q27Rfx7Z5F9vuDeSHOpySioInkX+Rf9L8afGH9pIKBBFsODDAw6OMT1J66/uKRQglCG9Kwi8PkCsuZSk1FQRfIurj9x/YnrT1x/aCCI609cfzUN+LKgG10i4u9f6Ro5HhSQuP4iO7pS7issdWhIcQY2QxXJu7j/+Ffdf+jEGk6AhF53tclpDjr6+CDqgnS11CanOejo44OoC9LVUpuc5qCjjw+iLkhXS21ymoOOPj6IuiBdLbXJaQ46+vgg6oJ0tdQmpzno6OODqAvS1VKbnOago48Poi5IV0ttcpqDjj4+iLogXS21yWkOOvr4IOqCdLXUJqc56Ojjg6gL0tVSm5zmoKOPD6IuSFdLbXKag44+Poi6IF0ttclpDjr6+CDqgnS11CanOejo44OoC9LVUpuc5qCjjw+iLkhXS21ymoOOPj6IuiBdLbXJaQ46+vgg6oJ0tdQmpzno6OODqAvS1VKbnOago48Poi5IV0ttcpqDjj4+iLogXS21yWkOOvr4IOqCdLXUJqc56Ojjg6gL0tVSm5zmoKOPD6IuSFdLbXKag44+Poi6IF0ttclpDjr6+CDqgnS11CanOejo44OoC9LVUpuc5qCjjw+iLkhXS21ymoOOPj6IuiBdLbXJaQ46+vgg6oJ0tdQmpzno6OODqAvS1VKbnOago48Poi5IV0ttcpqDjj4+iLogXS21yWkOOvr4IOqCdLXUJqc56Ojjg6gL0tVSm5zmoKOPD6IuSFdLbXKag44+Poi6IF0ttclpDjr6+CDqgnS11CanOejo44OoC9LVUpuc5qCjd2C9Ys3cPaV7TEIXu3MaNFBPnOY2itcadaDH22OK9ikCEhcXHIMGIv4UJl4FWCJSY8mjaueZ2dFjEo/YndOgAWu3WKJ9H4sq9CWotXmogNid06CBiD9FMvK/7nMlO+o0U63H22MSrtid06CByL/Iv+h/lAOlR9RY+5zfe2a295jEI3bnNGjA2i2WaN/HwkdecY+3xxTxpwhIXFxwDBqI/KMwxf1HPeaU7NAeV+97vD0mKSN25zRoIPIv8i/6H+VA6RE1rvsea56ZvT0m8YjdOTOkibVJo6O0/hQrLh0l11ia8T5gSCN3gGd4DOIoPXER7Uf8NR/6M2T4wtzHR2Z1a+xjR/5F/4vxJ8af7miBcQSjBiTbgSHB7UrP8BjMGH9i/InxJ8YfHQ/6R4i4/xmamOmLF0bWbkT72DH+xvgb42+Mv93RAuMIRg1ItgNDgtuVnuExmDH+vBLHH7diLZ90ET4BvJ2TwfuQHM9fWmkC1fPkqFcIxirtmcnA82/UMa00gWhfb9g0PDkyIixKEf8qLzlSPjYauReyt9IEIv8i//gPBt1yZoiwLCGXtzPT+7TkC9lbaQKRf5F/kX/oPb6fWS8p/c1MBlDwBUkrTSD6X/S/6H/oPrlniLBeEv0P13sLiQEE7gVJK00gxp8Yf2L8QffJPUOE9ZIYf2L8oRygXmIpYQCJ0yvdxFrt7xQngx+I/Xt9letKAIqkGVn6YaUDczsg1G16rcMgQ7RfLgQRf4pFTirNFZcxgCIj/6L/xfgT4++YVxfvFIwhxBxkiOtPXH/Qj+L6G9ffuP/Q0VHHSjdiAoqM+6+4/4r7L1w3fI+xe4segC5kLjLE/UfcfyCP4v7j5X3/YRNrncufP3PWuwvo8IuLEIYFyOyECmk8LtFcfqL9kjlVbFXpxKviIMCQEX+JAMIBGflHYdGhupNP0f+i/+Evx2psUaWTLxUHHQwyO6FCRv+jwET/4+zo5FOMPzH+xPiTB86u6PSXioIBFjI7oULG+EuBifGXs6OTTzH+xvgb428eOLui018qCgZYyOyEChnjLwXmlTn+jvAr1vKxWWrYeScLvYCNVgbh4BEGoxrwZcTYGBq1UHoc3hTtR/wj/6L/8YDhxwUZQNyu42sMjSolxdbj8KYYf2L8ifEnxh8eMPy44IaeMpZ4Y0Nu1FKmx+FNMf7E+BPjT4w/PGD4ccEPNb2+htyoUlxsPQ5vivEnxp8Yf2L86R1j3CDkx4wyuBRCx08usfU4vGlqHX9sxZqGwB8SW7zusbIrdzahjLJp79evgjP4ryFtG173ONqXCPSEJOKvQbF95F93Njz638C/RrYdyusex/gT4w9FoCclYFQX7WP8ifFH78vzoMF5Q3nRuxqgTSive5yr6jFF/mlQbB/9L/pf9L8y9jCK8SfG37j+1H1CtPaC6nWPc9EeU1x/NSi2f5Vef2Vizc8KamJw4uSrkUTIwiQZhetUsdaWnHZFMJH/CuntzDzOl38ViPYlWBSviL8kkCSZ7OTvWLbV2aY+4fb/pZtTiniRfxqmZh/9L8Yf/KtkjL88nvAW46+EQYZXHWObyOTRVn3CjfG35I0GpISFYxPXHx8Vw3H9ietPXH/8XS13jbj+yAAhlxe9xvCeNx+pkeqaozxlub0UpF2Mvy4oBcb4G+NvjL9+VOG+8c+Nv7piTcYjHZQMurpLFxxGXI43+TmVona/77it0TxMdgi+dD+uilRKl99xs2FEdjpMdwjdOlpLVaRSWmbnT1c1RPt8EiL+HIXJ5E83o5qcmkz5jpsNkX+Rf9H/YvzBUMCDDO41GE9mq8aUSukW7Lhj/InxN64/1FHi/seGAh42YvzpDp4DlmpMrZRugY7bgh75Z6HgsEX+dZNnwFLlVKV0C3TcFvTIPwsFhy3yr5s8A5YqpyqlW6DjtqC/ePk3Qq9Y48V6bpNWsu5+QjZ7L5NUH3CiVnKP0o1T+TYMaul7BSB8qJ0l/cKBJtQ84Iz2NQIUnoh/5F/0P4x0ebygQcVnhXUWu6Ixj7cYf2L8rdJAsoJ3mkk5n5BW5s2A7DH++p6GQEX/81HRbEFsWGPMW4w/Mf5UaSBZwTvNlpwzPnWMoaQYf3xPQ6Bi/PFR0ZRBbFhjzFuMPzH+VGkgWcE7zZacMz51jKGkGH98T0OgYvzxUdGUQWxYY8zb1Df+0Iq1SfTr3UwdHUO7+UNtfc9Hr8q7WGlZ9cq+IpaaB8yFMBlUlWeFNztO9cq+IiqN9wPmQpgMqsqzwlu0r3HwQ3MVqOwmMWAuhMmgqnzEX6MV+ZezRrND9lWilKQaMBfCZFBVnhXexoj/hAkTMoHI9PgCL9WfhnuBYCmdd2oTF1n41SmlXqVwM5OcmReG8MWsLIvUQrKnHT8twVgrUkO0H/GP/ENfkM6Rd6XDcD+L/peHDReiGH9i/H0prz/XXnutXM84D2XTi5u7TrIh/v6RKGgocqCKGDAXwmRQVZ4V3qoTEvGXGFWB0jDxfsBcCJNBVXlWeIv4axxydCVGVaCym8SAuRAmg6ryrPAW8dc4vELjXz5eUJ39fMwQfMeY/+LqexcdaH2yVNs3O+tKFKIzZhjtR/wj/2SEj/7nrkndkaJjKcPK1DP+LEoTa7jusuSJre74Kx531c868wnKk1WM6X8jNC2XRiel0WlozSIHpNm0DTKiSi6fOeqL9iP+lAmUBmX8kcwQmyZL1ilvIv+i/2GcifEnxt+X8vpzDU2s8cjEA1V3dYQ4dMfXRSU6Y4a9198urc9Sqo32I/7lmZFOrpRE6bjkX2zi7x+51yj3H90w9VlKWKP/Rf/71/W/nkdBc3rKxYRx/9WmJGxPOrMTW2/xXJrEYEeJ9nPoewPIf+MMnBlyRPyRfQNBivyTwET/i/GHhpfeESbG3xyY3ujE+BvXn/5+w1eel+j6O2FRWulK6XrtNdfG9Q8R6O2+cf2P6z8lRtz/xP0PpUH/EEHJIY5eb1z/aXztj8xLd/3DkP9SXX+j/RyBl+j+5+UUf3sUVH5Uvt+wH0igNmUNRkhfwFUEN6TRKoNTHAS3NmUNRkiQTaoDbsjGnVXndRDc2pQ1GCFBNqkOuCEbd1ad10Fwa1PWYIQE2aQ64IZs3Fl1XgfBrU1ZgxESZJPqgBuycWfVeR0EtzZlDUZIkE2qA27Ixp1V53UQ3NqUNRghQTapDrghG3dWnddBcGtT1mCEBNmkOuCGbNxZdV4Hwa1NWYMREmST6oAbsnFn1XkdBLc2ZQ1GSJBNqgNuyMadVed1ENzalDUYIUE2qQ64IRt3Vp3XQXBrU9ZghATZpDrghmzcWXVeB8GtTVmDERJkk+qAG7JxZ9V5HQS3NmUNRkiQTaoDbsjGnVXndRDc2pQ1GCFBNqkOuCEbd1ad10Fwa1PWYIQE2aQ64IZs3Fl1XgfBrU1ZgxESZJPqgBuycWfVeR0EtzZlDUZIkE2qA27Ixp1V53UQ3NqUNRghQTapDrghG3dWnddBcGtT1mCEzGR9hJwm1q69hiz58SpCDa0xOK+D42kfZdAAqoM0f2VwioPg1qaswQgJskl1wA3ZuLPqvA6CW5uyBiMkyCbVATdk486q8zoIbm3KGoyQIJtUB9yQjTurzusguLUpazBCgmxSHXBDNu6sOq+D4NamrMEICbJJdcAN2biz6rwOglubsgYjJMgm1QE3ZOPOqvM6CG5tyhqMkCCbVAfckI07q87rILi1KWswQoJsUh1wQzburDqvg+DWpqzBCAmySXXADdm4s+q8DoJbm7IGIyTIJtUBN2TjzqrzOghubcoajJAgm1QH3JCNO6vO6yC4tSlrMEKCbFIdcEM27qw6r4Pg1qaswQgJskl1wA3ZuLPqvA6CW5uyBiMkyCbVATdk486q8zoIbm3KGoyQIJtUB9yQjTurzusguLUpazBCgmxSHXBDNu6sOq+D4NamrMEICbJJdcAN2biz6rwOglubsgYjJMgmaW2gfbwAJEgjdYFSholdT2spuiEAyG6zZlHKMLHraS1FNwQAaa11gVKGiV1Paym6IQDIbrNmUcowsetpLUU3BABprXWBUoaJXU9rKbohAMhus2ZRyjCx62ktRTcEAGmtdYFSholdT2spuiEAyG6zZlHKMLHraS1FNwQAaa11gVKGiV1Paym6IQDIbrNmUcowsetpLUU3BABprXWBUoaJXU9rKbohAMhus2ZRyjCx62ktRTcEAGmtdYFSholdT2spuiEAyG6zZlHKMLHraS1FNwQAaa11gVKGiV1Paym6IQDIbrNmUcowsetpLUU3BABprXWBUoaJXU9rKbohAMhus2ZRyjCx62ktRTcEAGmtdYFSholdT2spuiEAyG6zZlFKl4iJtfL4G4q03KIbAoBE0R6plGFi19Naim4IALKnXZiUMkzselpL0Q0BQKKxHqmUYWLX01qKbggAsqddmJQyTOx6WkvRDQFAorEeqZRhYtfTWopuCACyp12YlDJM7HpaS9ENAUCisR6plGFi19Naim4IALKnXZiUMkzselpL0Q0BQKKxHqmUYWLX01qKbggAsqddmJQyTOx6WkvRDQFAorEeqZRhYtfTWopuCACyp12YlDJM7HpaS9ENAUCisR6plGFi19Naim4IALKnXZiUMkzselpL0Q0BQKKxHqmUYWLX01qKbggAsqddmJQyTOx6WkvRDQFAorEeqZRhYtfTWopuCACyp12YlDJM7HpaS9ENAUCisR6plGGieOj9PSzdhgIw84JPwnhmE261uuWgcEC6Kh00rwDTehjs4y3aj/hTLkT+WVdAp6t7DzRI7T3t3rwCTHM02FjyFv0v+h/lQvQ/6wrR/3RkwEhRa7VVfWVvXgGmFYKtr2IfbzH+PN/xZ8KExSheo7Ri7TqJXN/OIh7xp9SyaLhQwcaSt8i/55t/FisMkBrAao/oajc3zXFgi/hrUCL/Iv+oL8T9V2d4wUih/QQapBtSHDSvANN6GOzjLfpf9D/KhRfY/0boo6C0bq0vwTStsO9nwAoJtkqesxvhly7SVbR6cR7R8TuHL7BNXaRyTfWGdiEbb7Qf8Y/8o04R/S/GH/fizhh/4/pDF1O5nsqls//66a+m/QxYIX0JGnXi+vsvvf7yxBo/AMor1niL+Mf9Z9x/x98fcf8X979x/xv3vzZ/QrdrMf8yZe9/5aug1W2xKQbqu+UeDUy6j9aPp2VpVBDMUIPKbYqBmtyjgRntR/zl4zmUEDKfhlxBgkBvZOU2xUDD7qpgRv5F/kX+8R/00f9i/HHjJAZIZ/KwcptiwFN7MZjIO0gjg2CGGlRuUwzU5B4NTLQLaVQQzFCDym2KgZrco4G56KK0Ym1kEn284Lq4/tlfERQwBKgndmyq3KYYGChVzGDivEMaAwQz1KBym2KgJvdoYKJdSKOCYIYaVG5TDNTkHg1MtAtpVBDMUIPKbYqBmtyjgYl2IY0KghlqULlNMVCTezQw0S6kUUEwQw0qtykGanKPBibahTQqCGaoQeU2xUBN7tHARLuQRgXBDDWo3KYYqMk9GphoF9KoIJihBpXbFAM1uUcDE+1CGhUEM9SgcptioCb3aGCiXUijgmCGGlRuUwzU5B4NTLQLaVQQzFCDym2KgZrco4GJdiGNCoIZalC5TTFQk3s0MNEupFFBMEMNKrcpBmpyjwYm2oU0KghmqEHlNsVATe7RwES7kEYFwQw1qNymGKjJPRqYaBfSqCCYoQaV2xQDNblHAxPtiqR/1WS7bUoCVc2VDaWtxORAqUsQ7Wy2tKdo1Vb2V7Zov/mrtSeIlUmjxyZBtIv4UwirGBWlyrVsrmyRf5F/1axJyZ1+pNnDPkG0i/4X/S/Gn7F6S+kz1m8w/RHj7+D4u9iERSlKI/QoqPsqKOIW40+Mv5QD/HBKXH/i+hPXn7j+9EVAr7xx/fUjRBWTuP8YvP/oy6f8V4+4JI60ezVcf2TFWgmI61AGDZTg5ALIMWHUtFJlp1TjqlRXiUEDnZqifc1xiVAdpiqqPrkbR6O6SgwaiPhTBHw0Iv8i/2SFGuXF2E/T+6xpulylOp5BA8L0WuRf5F/kXx6Tfceo+hQrYzod2/EMGhCe115u/W/C4hPkUOuJtVfP8Q/+a9mr5PzH8buuXEHfaytHozieQQPC9drLrf/H+W9Op6n+rJmxBzieQQPC91qc/7j/ivuvuP+SMcEPDDRSNBNr9S1ow20GIvWOzSlFWrboPYW9yeNSE5B6x+aAi+MqbEFFNaI3eWwEA+odm2PkfGtX2IKKakRv8tgIBtQ7NsfI0T6Fgt8/w3veBBVVbGbPWo/beN2Mcq4eqHWVGgUV1Up4k8dGMKDesTlGjvNPoYjzX7JFUFEtUbzJYyMYUO/YHCNH/lEoIv9KtggqqiWKN3lsBAPqHZtj5FdF/i06YYJM8F97nV+xpjFooyV6T/C8yeMSSSD1js0Bt3u1lHI9hb3J41ITkHrH5oAb7bfREr0neN7kcYkkkHrH5oAb8W+jJXpP8LzJ4xJJIPWOzQE34t9GS/Se4HmTxyWSQOodmwNuxL+Nlug9wfMmj0skgdQ7NgfciH8bLdF7gudNHpdIAql3bA64r77428TacIDw4kfHMGigRFDQkJ2d8EFq0VpTGzz64kXHMGjAFyA8ZGcafJBatNbUBk+0zy9+dBEyaMAHjPCQnWnwQWrRWlMbPBH/iH/kn+shBg34DkN4yM40+CC1aK2pDZ7of9H/ov+5HmLQgO8whIfsTIMPUovWmtrgeb79bwJNrPH07bXXXi3S11IwWoJUT60VNv/e59t+KTVc25Q8/mgfEYj44x9QEZEiERtI9dRaYUf+R/+P8S/uf+L+x42QBg34AZPwkJ1p8EFq0VpTGzxTY/+jibVJdEzuiXs7QgP+KCtcMzAAZ0rlJCU/WIvls6WiiljibiegMFtUl4z2NQEj/hKBKjki/6L/0RhH/8X4Q2Fww70bcHXgsH5joB12Ta8ZMf7G+Ms34HmrkoOUuP5P8fFnUfkqKE+sXdN064h/5N+/5vr31JNPpdNOOzU9/NDD6ZFHH0kPPfRQeugfD6a//e2BtM2Xtk3LLL1MXH9skOSxshoondrYMa46WTPi+hvX37j+WteqOgcpcf8xxe8/ov+V/mcr1tyILkN3GaYLcmO6wip5i7c1Q1fp96VMtI8oIbRI04g/IuGzRXAdMnO3Zugq/d6KEABLbSXqBXm24LqIuVszdJV+b0UIgKW20mpBni24LmLu1gxdpd9bEQJgqa20WpBnC66LmLs1Q1fp91aEAFhqK60W5NmC6yLmbs3QVfq9FSEAltpKqwV5tuC6iLlbM3SVfm9FCIClttJqQZ4tuC5i7tYMXaXfWxECYKmttFqQZwuui5i7NUNX6fdWhABYaiutFuTZgusi5m7N0FX6vRUhAJbaSqsFebbguoi5WzN0lX5vRQiApbbSakGeLbguYu7WDF2l31sRAmCprbRakGcLrouYuzVDV+n3VoQAWGorrRbk2YLrIuZuzdBV+r0VIQCW2kqrBXm24LqIuVszdJV+b0UIgKW20mpBni24LpIWoxVrbLqGPl5gf2CQDppKv/c1gqW20mpBYN97773p+9//frrk5xend75r4bTjjjulOeecA25rjw1XXHFF+t9TT0133n57+tgnPpE23WQjmliZtuJowefffm9DZizHCxNq9kcOGzhtqXLUBRVuRt1KxNGaoav0e18jWGorrRbk2b0NZUJdUzky33LLKax/rv2//vWvaeWPrUz5VzKQ25qGzvje++6XVlzhI6RV6z96f3U56oIysYjuQYivNUNX6felqhfr+LlGtIfaofuWYQOnLVWOuqDCzahbiThaM3SVfu9rBEttpdWCPLu3oUyoaypH5ltuOYUV7XMEStQLyuEtohtE8bVm6Cr9vlQV8UeUNCYl6gX5aPUGOhPqmkpkfeRbTmFF+xyBEvWCcniL6AZRfK0Zukq/L1W96PHnr4JiFUd1CPg11Lb/KYKdT7yi04W0svOPJsNYn4DIxxXt6yqSiL+bQnO5pNDtnS/yj4Ih8Yj+F+MPDajl75kYf+P6E9ffV9H9x4RF6VFQ6v/l4wV8bSBDNSbkmy4nXuj911577JXOOudMve5QH1t6qaXTIYcemq9DpeInn3yCJlJWSo+TlKXC5Npzzz3TyiuvXEiEXmj79Ydi4vr3crr+/+Ohf6Rdd90t3Xffn9Ntt91GJ5eSbxr6P53k/fbdN31khRWqc89KnP+4/9eXwMf9v01Iyz29dhWFbu981HvkP1kGWtmlZ5HvxR//Y/yl2No1NeL/crr+lPPy0ua/W7Gmndj2fZ3UfnWeAupw9GBseDS/gTwION0abECH4g3RvsTYh8TC56bnzG8g4i+hcPGwuDWgQ/GGyL/IP7oF8ilh6RP9L8b/fHts+WHgFTv+PvzIw2nzzTZPc87xxnTwIYfqnYIdtoFX7PFb96e7TM7/myZOTLvvvoes3tl0003Ine/EJRQuHqVgjToUb+i//vA71ngt0NXXXjdF4z9hwqJyjNPQTxqdRn/2tdfggwll/Lvi8ivSNttuQyQi8l/O9N/aa66dvrrD9iUe9VGnhx+mPNp8izTHG2fXyTrzT/74lVrapx+Zw27gVZN/km122Ab+pcd/0okn0Tk8xM7/vvvtm1b4ME2s9V847UwLcD8Z5zWfTFL78x+8uP68+q4/eu55H/0/8j/y/+Uw/r+qr7+6Xk0HJL5w+euZYQMYvpxBoOq8501OqqDCA4IUd7VTj/cbNoACziBQdd7zFu1rHPJdlCiIGCQYRZYYIn7GNQC2MwhUnfe8oXy0X+IEBKmR8nv1eL9hA+A7g0DVec9bxF/jEPlX8gQIEhEqUj3eb9gA2M4gUHXe8xb5p3F4NeXfLTffktbfcMO04IILpjNOPz0HoOQJECQiVKR6vN+wAbCdQaDqvOft5ZB/J510Ujr0kO+kNdZaO+24ww52X+V+uf5Y25djwO83rgGQnUGg6vxVUN6uo0dBdSs8IMhMcEI93m/YgNLXWecz6fe//4PEmefM3vq2t6RTTz1NjpEZ+P133H5bWmPNtUSflO3bbLtt+vznPqcVVXtt5Kabb04bUx4t8KYF0w9/eLrW1bTv+5UGVgm85w3tex6qgFSm35c6UN64BsB3BoGq8543lH+1t/+nO+9Iq62+hp1/rFgr8dF46b7EEH61kNcA+M4gUHXe84byviBKQCrT70sdKG9cA+A7g0DVec8bykf7JU5AkBopv1eP9xs2AL4zCFSd97xF/DUOkX8lT4AgEaEi1eP9hg2A7QwCVec9b5F/GodXc/7JijVLEwM5MPiXRlLNZQDBA5dkyShXwPtROMta9JQhQn7TNkqWHxLtVxGwAPl4O4b4QcqyFhF/hAdhi/yP/hfjj/QG6xoG0EmybO29OoxZ1iLGH4QHoZ2Kxp8zzzgr7b33XmmBBedPp59+Rs+5pIOylSr1ibfDNoCcIsNU2v92+fou6Sfnn5/WWmvNtANNrPkJIAtOHQYz4/TbSi8yWGgMGEsB2RdbbDHijeqjoC1PdBizrIVrJNc9kH833Dgx/fc3vpHuueeeNN9889F53zu9593voXPlfhPVzdUfffRR8j62xx97In1w+WXpUdC90owzzkAeIve0f+ZZZ6a99tpLJmhP/+EPp9rzj2OziMix5gOGs+f46xgSYSrNfz7Eu+6+O6266ioaAnokbd/99k4rrLAi6fWBZ83MJWZT9/HX55KO6lU0/uEUl3MZxx/nHz09+v/Q9a8eM2L8m1qvf+VRUHcTZYMhgaYreJdhcArbXAaEU4jZ7gzRvt1EWdAIIEKQ3gdcfAXBBymejtsZIv4R/3wTj5xhiQyB9D7g4isIPkjxdNzOEPkX+Rf5h+5iEj0E0hwOFF9Bzi1QPB23M/yT/e9b++9Pq5b+VydEeGKt2aZ0+zqn447nJW5/9dVWS3f+6U80sbaWTKz9K46fH9Hk7Vp6FLTdpkT7jz7yaJp5lpntGlGuFnXrz016Lj311NNpxulpQs1PvrmSmETc/5uUR/RVyQXyykecUci6ZtWKr6CWJ56O2xn+yfx/ueXfy+H476aJtVVWoYk1nkOlUO+3Dz0KuqJ/x1rE3zpE5F/c/8T9Tzts2RXCjRSDnKHrDxeQ8p1KnCH6X/S/F7H/lYk1n64u38Tc6sbtOroWIxdApFH615v8JHSxA7WVtDp41u3M0GMpPkPRfsQ/8i/6X/1Xng0PnUEkxh+7/y9BYtQNTNdSlxAtxt9X1Pj7yMOPpI9/4uPpicefSPMvuIB7FLTn3LPpFX7+J95wQ9p0002lz6xFj0LKijUfiil0/ItNWCxNouCWR0F9ow5Pofa5Bap6aFQtP2CgfX6/2ic+8cn0+GOPpQXfvGA6nR4FlW2w0q6jaynNGhpo3/urgxistOvoWqzWAl4l7d99D02sfTqvWKOj35c+XrACf7zgVXL85YQ3KI7/FXX982c3+v/4x3+LYxvEVh8k/nPXn8Fqo/2Bk9oNTNdiUS2ASK/0+Z96Yk0O2MVwYBbXIuSiqNAZmARVJO/YRNNp2Q63ONRJAY/27R91I/6UDBYNSxMDLoEUOkPOJ7lBFjPvIv+i/8X4E+MvDQS8ikIFDwu6kSGuPy/8+nvgAQemH5xyMl3XR9OCb3oTPQraTIi8isbfSc9NSut97rPpd7/7vdznrLU2Tax9lR4FlU43Za8/iy26KF0uR9I1eMcaEnwqib/lEfVGfleffxQUXbSSOD4yKnQGJkIVybspG//6DcXR/t136aOgfBvL+c8fL/jIR1bUrhDjr6Un56VsFKe4/rzw6w/HTlKsjagas5OV6P9x/x/3/3H/TwPBFL7+6MQaBiAZenRXm5zmoKOPD6IuSFdLbXKag44+Poi6IF0ttclpDjr6+CDqgnS11CanOejo44OoC9LVUpuc5qCjjw+iLkhXS21ymoOOPj6IuiBdLbXJaQ46+vgg6oJ0tdQmpzno6OODqAvS1VKbnOago48Poi5IV0ttcpqDjj4+iLogXS21yWkOOvr4IOqCdLXUJqc56Ojjg6gL0tVSm5zmoKOPD6IuSFdLbXKag44+Poi6IF0ttalo/3jwH+k2ein77bffnp577rk099xzp3nnnVf+P+OMM7oahuH999+ffv2rX9E7qu5N071muvTOdyyc3v7OhdL0r53eCpUW2VQ0nrh57PHH5OuJDz30UJp55pllEgIFH3jggcT1P/3UU2leev/V7LPPDldXotosudyNN96Y7rvvPvpdr0lveP3r03vf+9409zxzpR+de156/axvSMsts6z7yyelCy64IH3ta1+TuvmfQPgRPptY67ZYWZ579rn0yKOPpIf+8XB6+NGH0vzzzZ9mnXXW9PTTT6e76f1dz5CcZ5550uteNwuV49ppy7+VHy987NHHEsfgkUceSbPMMktaYIEFlNPsH3/8ceI+mh6ilXWPPvpwete73p3+7d/+zepCnb4YN/PQP+hc33Zbuu2O29KkZyelueaZO803N53r+eal94R1z/UkyoeDv/OddPLJJ+eqRso71nzlwE38YWYJl9qc5qDnM16MPl7A7msxsdYSWh11QTp/bXIaQX6P2xNPPpF4pSKvMnuUYvv+979fJvVcFQJHJ02ic/xoepjOE8d/1llfT31lPqWhWpIXXER5tLPmETvxKGhNJA1l1PHP7VEXpKutNjnNQUd/XpAnmO6++0/pQRpD5ppzzvTGN86Rpp1uWjmmBx96MPGXVbn/PUV996Mrr5wW/c//zPWOpkmTRrXfU1956OGHLN95DOL+yv3gjdTX56B6h7ann34m/eY3v6bfcLecj+mme01a6O0LpX9/20L0SO9MVbH6MJ3mIAo8++yzMh5y/r/pzW9O00+v45g9CkpE7r377LsfrVj7CIqVc9lTZ21ymoOlonEi1AXpqqlNTnPQ0ccHURekq6U2Oc1BRx8fRF2Qrpba5DQHHX18EHVBulpqk9McdPTxQdQF6WqpTU5z0NHHB1EXpKulNjnNQUcfH0RdkK6W2uQ0Bx19fBB1QbpaapPTHHT08UHUBelqqU1Oc9DRxwdRF6SrpTY5zUFHHx9EXZCultrkNAcdfXwQdUG6WmqT0xx09PFB1AXpaqlNTnPQ0TuwXrFm7p7SPSahi905DRqwe6FiKddUa7ICnpkdPaZonyIgcXHBMWgg4k9h4hu7EpEaSx5VO8/Mjh6TeMTunAYNWLvFEu37WFShL0GtzUMFxO6cBg1E/CmSkf91nyvZUaeZal3vvTQJdtDBB6ef//xnOZaZQ0sMRkb4AbyRtP7666dNN9k0TT8D/2FZ6gDiyaLjjzsunXXWWboygR2Oudxyy6Wdd9qJ/jieg6x8xsr2jV13Sz+/5JL0OE2q6bnUWtdac+20w47b0wTXhen444+XlVJMmIba5980J/2h/eWvfCWt8JGPuF/kf11Kf/jDH+QxLf6jHnXTUQmff8Fss82WHvz7A2nZD34wHXjgAfKjzjjj9HSi8CIOAABAAElEQVTeeT9ON1w/0Y6fHTx5sCB90RHts21umhz77uGHW/v83rE/0uRkXsRl9m9/+9vpz/femw6gNnz7m2++ucR1ElX+CXrk9P6//pXK5Kjm+K+z7nrpK3ScMJ97ztnpkEMPSzzRmJkmzz777DQPTYbWEeZfqtu9996TDj7o4PSzn/8cJvmto7J6mqOa0uf5XNPjnjwZOmnSs+mww7+bLr744nTnnX+SU4fj5wm42d84ux0Pl11xxRXT5ltsMdi+HYS1TgAH4W2Mxa7OCTyxRvC66/iroKUAEKQVY9C7eWYmkGnvffZJ55//E3rk93GqPXNy/K/65dVp2ml1kogPbPvtvpKupokintREbSy33mqrtNFGG5ntjDPOSD8677zEj8/yxvHRzB2RyTUxsp0Kz03n7PDDD4NJpVSOFshk0ICZisXR6tqy5pnDJvEI1fENGkiXX355OvPMM9NVv/ylxI7L8cqk2WedLa255prSRw884ACaOHu8Ov7TKTannHJKOvfcc9MTj1EcXf6ts+466QMfWJY+IrE7TaT/hY6RI5fShz70obT77nvQxC+PQWp7+pln0oknnJCOOPLIbNH2ff97E02Ib7/99mnppZemcuW3c52yNaZRSjQ5d+eel2666QZrn/PvrW97a1r1059KSy29jBwfiu5Dj4KuyI+C0gabKJ1dj7fHJMXE7pwGDVhbxRLt+1h0wm8Rc56hAmJ3ToMGrLZiifj7WLgoZ9jj7TEJWezOadBAxJ8CpdcVjIiRfyU7utnXG52hAmJ3ToMGXpX5RxNrdLsqN0ca4BKOEnDYINkDDFnYLfIMj8Gj26hon/440Xj0R2h4YOjjI7LdGvvYEf/IP54c6GYL8ghZA8l2YEhwu9IzPAYz8i/y7+Wdfz85/4K0yy5fk0kL7iY8WfWBZZeVVSeP0h+8/3PSSWSdRP8fSZ/5zGfkD1RkN3qKrOz6+s6kakdbeuml0iKLvJ9WnsxMX008mSaU7pE+NcNMM6Wdd9wxfexjH7MquNdstdWW6eqrryl/GEtrKa1Jk1RzzTlXOuywQ8TCK8ymmWaaNJEmyaYhNq11Efs+NCmyorw4PHd0svJ2662/Seut97k0DZlnpQm0D9Mfvu9997vTDDPMIKvqTjjhRK2B/gpfdtnl0kEHHijlNtp443QTtaE9muvUdsRJO7b79q+5hn67ND2SeAIIcWHJ+c/tL7nUUumKq66iSZRRWRHGEzgcU675oIMOoD/6l0lLLrEEab40M0bSuut+hibWthMf704+5eR00AEH2fGLg2cSqK1zzjlHVsIpuR5/fkIr8HZxK/DmpNgus+wH0lxzzUkrsx7L51rbX4fO9XY0GfEMTVwsvdSSVJ0coFTbHr9vfwk6hsNpolG3un2NZ3YZQ2v2PmBIpmpc2xVrnuEx2nj+7X9xm23SlVdcIQVRk8qR9MtfXqUTa7naz6yzTvrj7//Qif9WW24tE2tofeONN0oTJ94k55/r4skjPv+8aTT1/I/QuWPztZJH5aFLbV/oAzvP8Bj053/8vjQwJGpr5SmUhwfQo9Ky0THMNuvsssr117/+FZn4CLV9zv/laVLsZzQ5i+PnL69eeukv0k9pghfHjwx73yKLWP+bacaZaALz0Vxfov68Xvryl78sTXL9Bx54kK6izPm/3XbbpdfTatRbb701XXTRhbTi7X6L/+o00bcTfcWWHynGhmOE/Nvf/pZ232MPyQW1jdCq2fnT29/+DloR9xv5WizbZ6bf9Zj7Xfvtt488Cop6VU7Z+GtPxbHgCPwviPbj/uPlff+BrIXk7AWG9BldY8/wGKzI/8j/yH9c7vp7CK7UuCeZfP+ja3i+i0FXlZp99RmbyQB65guSVpoA/42BS579VCEYi+rO2EwGXlC7IFtpAtF+xD/yr+kZ0kGsl0T/i/GHcoB6iaWEASTOC5JWmsDUMP7e8qub0wYbbJhoURqFYCR9cPll01577pVmyI8C3nzzzWmjDTeUP/r1YjaSLrvsF/Y4FAfn/AvOT1/feRcKI93Ekr7v3nvTJNdKdvz8CNVFP72IHqn8eo7zaNpvv2/SH6H82JRG7KaJN6a7aTXXZZddmi6k1WlySthFG49h/77QQulb3/pWmn/++cXGj3Wuvsbq9CJ4mpwiwowzzEQrqugPdJp0kzEvx38DWnnFj6XyLzvnnHPTPHPPI79Ta03pjjtvT2ussaYc/7LL0Yq1g74tLU6ceAM9BviI/LzvfOdgW6nF5Q48UDnSkP78tBxNyvHG6mW/+EV68IEH05lnn5VuvulGMWpkNM+OPe6YdNpp/5d+QqujcPwbb7BR2oJWO/385z/VsmedSX/E38pVSjPrrLNu+gqtksJ21113pd/+7rfpjtvvoJU6R9C8H9Wd438uT6zRcbb5d8stv0obrL+B8LjWDy7/wbTnnrT6h2LHP/zmW25JG264Pnm4LjKR7bLLLkuvpcdKf/GLy8T2LD3eusMO2+uvIs5C/75Q2pImRX37s73hDfSI7fs67WulXDQHTQ4mYzMZEK/f6cTaCD0Keo03V9hKE2iPf3Lt30S5zo8y3vbH29KJJ52oOU+102HSaixesTaNtcUTqX/+y5/pQxZnUNxutuPfks7hxrRijePJ7d9IecSPlPL5P/jg76Q/yYo//ZUHHsQTUvkX8+wqtbTcBz8gkrXxbLk2a59/u27ZI8JY5PJ2Znqflhzac4wOPeRQDRDl3x577p5W+uhH07TUB+//6/1p4003kQl1rnKGGWdIF154UTr8sMNpUvgHVOWITA4//fRT6S56V9nVV10t/ZM7os+/bb64TZqFHpXee6+9tR3yvutdC6eTZLI/yePqSyxJk9Eu/4/43vfoseHF7PzvS5PuPzz9h9Im/5a999krrbTSR/Nh1cf/MD2GuiaNBw88SCtBycWrWXfbbTdaPcfnRTde8bn//t9Kl11OfSIX5/b35Yk1mriXmJP9heafFVSA5l6QxM/h3xXt55SRCObIiLAokcfbmeh9UvAF7aw0gYh/xH9Kjr99iRn5l3Mu+t8UHX/cxFqdhpaAMDcngi+q9SyfKwEokm+Z5FYANZEEwZka2GGQwQ/E0X7EP/JPO432FddjAEVG/4vxJ8bfcgPHfQYdpLnoOJUZf6PJKV79wY8T8lzH9DPPRO8aOye9bpbXyR+VPP789Kc/pUcxd6QVH9TP+AJF26WXXJpmnInewUVl7qKJiFVWXc3+FOQ/Qj/1qU8Sq/5FXI5XMZ1Aj3Oyb3r6Q/tsemSU3zkmG9XF1T/zzNPpEx//RPr73x+UVSzsm4FWhpx91unEnd24XP1RRx6Vjjr6SLv+/uAHP0jveMc7iEOVEYEf01uOJstY55Vu/CgpNmWodvTRR6ejjjgyfYAmmg6iR9Z489ffzehRzRuuv1aOX186Tx8v4MOTSobHnz//+c/pk5/8VCZyrYlWntEEGT3SecyxxyaeAMB2xHe/lxZdfDGplm333PPn9OlPcxy1mc+utw6t0tlO9Hx41v7ue+yZzqHHP7Gdcy49CkrvSvMbT0TyuX6QzjXi/yN6BO91r3ud0uhYLqLHgHfakT5EQFj/lXuUVhRdKpOsWEPF75tacoklabkeBYDei7XW2mumr+6wo/1uq6yx+N/C2MdffNwmVclh5c3HX7mjtGJtMfHxu7qEKI7h+At5YDe59vfYY6909tlnSmnmXnP1VbRScjqtDYVJPviPB2gyhV5Yn9vZSh4F3ZA0WLKDBD/ye/1114mv83VZqmtyx291uvZ1MvVfP/49QMe94kdWpJ+k8V+aVmMeeihNssmmP5BzR1dZsp7Stttumz772fXSrb/5bZqN3pfGqySxjdK7FT+9+mrpXvrSJvJv4YXfkU488URZnbrF5ptKTjJ/s003S5ttvpnwnn7mKXkk00d7/299M/3Xhz6MqtNj9BVWfiT1r/SINfNmnW32dBZNes+Q35UmxBz/vfbaM511Jj3KTieDV9Edc8zRaZH3/weVQ9CJTfDpZ5+hlbc7pUsuvZhUjb99FdRz7VfUwNWmjtw+jqMv/19O518CKQcxZfpfHD+d7ZwMmisuYwAj/jb+oN9YZ5IErfuc1xBCs5Fhahp/o//RmYv8f8ny3ybWOsO/H7mtdxXQ4RcXzqiT2YneCukusJ36ov1y5ahiq0onXhUHAYaM+EsEEA7IyD8Ki15yO/kU/S/6H+5cq7FFlU6+VBx0MMjshAr5Mu9/R9I7iY4+9hi9QaFD2HnnndLqq68hB4Pj55ey82Nv/Ecpb/wH6o48+ZLv7Hbb7Rv0LrLztJfRcf/skovTLDPNnLudBYIiMUovFH84ffjD9Acvd0malFlppZXkvVZcr9/WofZ+9/vf0dwN/TlLVey5555pZXrZedm03quuujJ94QtfFDNXuR+9PPzD/PLw3Owf/vB7enR1HfFz+/t/c39tny2u/19Oj/9tS48B8jvgDsyPguL4mcoTItfJhEj+miNWv6AhJvGGw83yueeeTUvwJJS49M9vfmSWV8Hwxxd4ou8Pt/0xfWj5D6WP8fG5fOQXuH+EYsU/kzdMyKlWN3TMMcekI4+gVWtkHqVFVeecRSvW5qWVefaDUvreEd9Lxx5zrBanYO1EkwJrrKHnWo30MQM61xx7Ptd8/GvTY7g70KSZ32RijVcI0YOwdBLp4wX0Djx6tE62+meRCQZGmH5Qqo9/tlSiwydveRSUV6zxGS/1S2GokM7fqc+dfynb7I49Tic+Ef9f0vvD5B1rTUPPPPNsWoomlfjXcHNbfoEeBaUVoGZQQK5RyqMtdGKNyAvMv4C8w6tp1tTO7zUPAxwgZHZChTTeixP/8hN4wvUymjT7EpnkyNPX6fHiVWmCXdTcPk+SL7UUv9NM2+dJbjxq3Xf+t9xyy8QrAcE/gN5JuDz1Dd74vYG/oJWgPEG+2mqr0kdNZiGrNsSPgZ/BX+oldY6550xn/PDM9Nrp/838XP5/vv8/6Tu0YlA2+snfP+l/0jsXXlj1vL/++uvSZpttLhrHf3l656I95loxtd0bbrie3kNIE3y0cRT23Ye+CsqPo+fjd4BM/3z+S0OyQwOQ2QMVsvyQaD/iTzmqfVVTiJLEXW9Kbinq5GtFQIJBZidUyMg/CozGvBPPyVx/OvyIv4sAEgwy8k8igHBATsH+N8KvWPPjCf8Aa5cxu/MA4+3yQ92u42sMjSolxdbj8KZoP+If+YeLDy5DruNl6PtM6VyF1/GTS2w9Dm+K/hf979Xa/1ajFSJ33nGnTmBRF7zssivoZfX8B2m98ZcRb5g4Mc0z11zp7bIijPzUif78l3vziixezzGalll6qXQIPxqWt77+x5N3F9AjYdLjaXfxzy+WL39yEfTLz332s+k39H4kvizz/SevmnsdvTNJyrjKr6NVZDxZwaMGt78PPYLKk3XY7qMJoo+vTO9yo4L8RwVz1l13nbTEkkul/6CvPPKL97n/P04rWi762U/TvPPMnxZbbFEUN8kTa9fSxBpPJdlXQfFjM6tRxfocfTFyicUWt/b5ow08Cem5Q+MPf4nyQx9aXo6fK1uHVrptRyvdbHOVHHfc8enw7x4uR8iN4R1rQsm81VdbPd35pzupuN6yX0EvnH/ta1/buf95hM71xBsmprnmniuv/tMW0ZxMrPH71ujRxREKyJpr8uTbDtUx4Tf69mFjiboEv4D7r8X9V0F9JU2dXC9v/0z7POn5XYop5x9v/GL+6fjjBdhy+/zVSp481aiO0rsCyzvW2vZ1gpZWPtI54pfp89dlh84/moHMzUGtg0jWjh+2Hoc3jbf9k39A7/g7+MAcnxFa1bpDWosm3f3G7Sy26ATLf/7arHzYhOzoy779rbb+Qrqa3mXHq2d59cg59IGOeebRlZf+N0sbzvAcrXabeONE+sruU9R/F7cJUKFkHj9evvPXdqaieqaOpclo/tKrbx+rFNE+r1Z7P61W4801JzobJt54Q9qEPubCR8O17kcfL1ghf7zAynQK1nX59nuo2hbtO77G0KhSTmw9Dm+K9uP+59V6/yN99AVcfzBmlc4lqE8tNt/ZMt2bov9F/5sa+5+tWNOc9inNFq973NMDsglllE17v34UHL4b6/3XgLYNr3sc7UsEekIS8deg2D7yr9ylR//TCMT4E+PvZK4/t99+O02K8Iolul2k/976lrekU089DT0o55G6+4w8/lxC7zTbfruvygQL6xusvyGtINuahmjSBtrnibf/odUi/Icoj+VHH31M+o//4D9eWddb1/U///n0q1//Wkxz0uNiPBlVNuXx/gZeYbLp5tb+nvT43sor07uTXPs70VdIL7yIJvK4arZTG5hke+tb35KWpEk2nmB885veJD7alU3pumLt2uuojpE0/4Lzy3u11EX7yYy/vMpKuNQ+f7l0X1pVV7bcgBg8TvoYK7+3TUOS1rV3rCnP9tT+CSceT1/tpI8FEOY/8c+kR2znm28+a+b2O+7Qc52P/21vfVv631P/l/y+TY9z0R7Ts/QIHMcM7etXW/OKNbTo4g+TyrZCr3vc3z6/N2sS/e86Ohdof3LxH2/7J5xwQjqMvrqK+JcVa9ayxHrSc6M0Ubu4/B7+LVvT++Y2pHcS9uX/5vT44nXXXU/l+IugC9DE2g/p5+UTXJ2L/uNXa93+lDp+aavnlCBn+IuyO3x1e805mmD96ldpYo1WOGo5Kkh9ZRJNLC++uMaG+98i73tfOvbY45TTaWA0fZHep3bVlVeRZ1QeP77k4kuobyM+KDb54x+ldm+/8450z933pL/85S/pL/fdl26h9+Bddy09QizRH0lHHnVk+s//5HEH9Y/Sas110x/ogxTcPrdyEf0DwBtmfQMhv5X2J/KKtU02s/Fn3332o4k1XjGrx+9LKdayxe51jzOjx8S/jX+z7Scz/pS2GLUVet3jXKrHhDrURftov6QQgh3nn2KCfoWgsGwTyuse5zI9JtShLtpH/kX+takW/W+K9z+ZWPOzwtoxuePmsyE91Lqp9Gicp2KtLbnbF8FEHjR6BxPy0InGrGS0L8GieEX8JYEkyWQnlx221dmmPuF2Lkxq1YLEi/zLAalF9L8Yf2L89aNKSuf9+Mdpt12/QatD6I/IaUbpZd9LpO9+77vScTwTf8Jpj/JjUZL3pR12OJXhGxkahDbfYgt6NIpXcNSb73+8Cui44/mPa2qFboq/Ql/3W3c9flxTW+KSG220Ib30/2a5Z37zAgvQi8fPYDNtdfsTb6AVI/woVm5/z714Ys0/MprS7+lx0I023Cg9+cQTOkzyXg5Q28fxf22nr6dVaYKNt/b4eVUcPwrKv3CBBd8kK42EiB3/LKkXJeGgxxcXo4k1euyVH2v9/Pob0OQBTTzKlrlySHpcUg352MPvh1v2g8ulafj8kEUfBf1y9koFtjvheJoEOoxWCvL4T/+dc7b/KmhKP/rRjxJ/gVHrp3NN73L73nfp0VHeBto3lxKEyuRn6dHHJWllIpv5d67Jj4J+9ata0RS+/iw2YVFqlj9ewBMkbpMD4x/Ev6i7+fzTA2ZO5g4cP0+sHXr4YRb/X8rHC7hM3cYkOreLL8bvftP2t9p6K8k3bgEb2seKNa5iQc6jH+rji7JEi4xyGFQILchPE2ttQb0mpaC2bzYH0L6amlakEdm9oPb5ceGP05d9+Xxw/1ud+s7O+WuzaPr3v/89rbRcx/KfV11+5Sucw7zlY3Lt81dZr6DHsvk0vvMd76THN7+fo/L8jv/W3/6WJtEvTD8578fpPvp4gowLNOmH/qdHTnuq7kh6P+Oi/0mrU3P7zzzzHH21Vx/bljQi+9X0kQxepWq/tToXtGKtGX/2oRVrK664opTwuykRf1+/njg+LsSp8lIY6CyZjw+Yt8zNx89648lHKwQt0hx/NmoM2WdtmEdAtB/xj/xD32x6mXQv7WONJ/ofjR46KvnYAbsxRgJHuxh/XFAKnBLjr65Yk7yVnSarnAg5a6X1yaCqSKV0C3bcbOD15UiTDqFbR2upilRKy8zXOWkt+6Rp2cXxc1wmE79uRJuYTqZ8xy2hl13EP+If+dfpIH09rrZVRSql5rHWcbMhxl8Ogo0/Z511dtpzrz04XGxOSy+5dDrk0ENU79lXMc3KAQcfkE75wSlSnivebDN6qTj9v+JyXWzI8T+cXtJ/PL24XzZqd9VVV01f/zp9LdRt/BXSm26+RcosuABPZP2wrjM3cOPNN9IXGDe29vEutrb9+/5yX9rpazvSZN0tVA+tF5KJOGoQ92gkR2iSj1cUbdIzMbgFTaxdc51O5sxPK8H45eayobz77Qx9+/LCfW6PJi832nBj+oLmVhoKJg6UZ9eTTz6VPrDsMlQZr29Kaa3PrJ223357LeIbIN/xJ9CjoPS1RWxn81dB55nHquffu+fedK6pLj7+pZdcUl80P0b7qAsSTT4nHy+giTWqiSdk11pjLXrnXv0eNnCteja8CP2PV/9xnfLxAv5h1gArZXsx2j/hhBNpFSBNVub4X0mPKPI71qRJ14CsylpicQ6HbPzxgg35q6C02c/Lx88TtNfyijXKB15RyC/Qf76ba9LaKg3UtVRcduX2+RcZZLv9QFbG3qo6s7LzLl9LF55/gdQz4wwz0orXU9Pcc8+NUKQv0UTZ5VdcSe1TAcqVc8/5ET1iPPdg/vN7Dvl9h/wrF37Xe+jLnyfaj+prH7//4Uceli8Z/+xnPxO+ckfTu965cPrQf304veXNb06/+8Nv09FHHUM1a//n90suShO12O6mL5OusuoqonL7NBVefX22r/3rb7w+bUYr1uR3EIHf9cYTaxWXa2TDi5D/XJWcsk4D7Clbxx3tR/wj/6iDvLjjn3bG0u+Aov9pJGSsYhjjzytu/BmhV6zRrZHf5Cxng+sC2ey9TFJ9wIlqyT1KA5feApdSXNpble5bYMwb/cKBJtQ84NTCUjba95HO8Yr4R/65XqndBbnBGmPeov/F+FOlgWQF7zRbcs741DGGkqa28ZdXMX3jG7vloxihR0Hfmk497VSkgR3dWMd/KK2SOpEmILgQT7Js8Ln1E686QdRY+lGZKz344IPS97//g8xJ9JXAz6YvfYlWsbgQbywTazczPb2Fftdpp/Fji6WPioN2N918k64Oyu3vtTt95IBW0Vhlrn1+1Sp/kfGqX14pE2zX5YkyravUff6FF6bZ8aXSXNMW+RE+/o3zzU8TIvSoJTb+ouotNAn4DvqC4VxzzpXN+WCowKL0+CLVTj9/JG2y8cZpiy02Z8XxxGk/GSWfoo8bLLPMMjInwV8nlI8E0ON2VjTXwOJ4erzusCMOp7kL/cPhbJqwmXdefhRU438en+v//m9SqXaq661veZtMgmijXEM5frTPVt5Uz1YSz9IHGZakiTnxUbE16N1tO++0s93/3Hbbbenuu+9Kiy+xBL2vj97hRnXjaKVQrrFgRs+v/Qn5fV19K9Ze7P4nj4IedpjFX1asTUPvWKsPRh93pPd6cf5z/HnilFdcKrHOf1mxRu8F5Mk6mVg7S786ytwH/k559CvOo4XTXHPMoeGhfRv/tn0hEunFPn78gLHal3cYcn/j9un4Z6ev9q6yCk1OUY5ddNFP01133kkP7o6kmehdhofQF0Pfv8gidkRaP9fOm57/bbalibUrr6Q4jqb35K/4jtU+l3yCVqKu//n10x/v+KPl/7vevXDaZZdd09sXWsjy7yJ6T+NOPAFMv43jf+SRR6RFF8XE2ki66093pVXpowij1E91lWiSjyVMP8MM9Ov0V0Bwu7xdTyvWNuOJeK6Sjn+/vekda7JiLfPJ8WLmf9u+/grayyH5lqJ9yamIf+Qf9d56yEbf4N7DmDcdf5xQM+2Vncv4osZQ0ksx/tpPoN8V7cf4VzIdiTrlrj/0j4O0Vp96jDSF9iwjFQyYG9awWpVnhTfrzeqVfUVUGu8HzIUwGVSVZ4W3aF/j4IfGKlDZTWLAXAiTQVX5iL9GK/IvZ41mh+yrRClJNWAuhMmgqjwrvEX8NQ7R/yUZJEdcotxAfxTKY5v0hyQvFZ95xhnSJZf+Isfs+YnTTjuNvrT5TX6PvaQbf2WSvzYp20D+7brrLunHP/lJLjGadqR3oHE5o5OH31F18808sUaTQPQ+MF4J07fddNNNtGJtI2tfVqx9ND8KShXySpajjz6a/sB+e/rEJz+JRSNS1bPPPpcmTrwh7f+tb6U//pH+KOc8oVjwqqJNNtmkao4nRHhSjuel2om1K2mFzRdoMnGVT3867brrrnox4dL5gCbIqhi9/9icHlvdjCbp2s2dFnM988wz9EVFmsCi38Q/jb/Q+VV8fdNYCo6iYzyKVuDwxvMGZ9KjoPPNN486qfAN9DECXonHPq5uBprouPTSS7P/hV3/9KugOrHGFayx+uppx513xuGmw+m9ZMfTZOsee+6ePuYmOeUYZWfNGhgwmx9gaGKtKs8Kbzn+ODrhVESl8b7PrBNrh1r8r6aPF0xDK9bajd/nNYHeI4bmtt4yr1iDIdfObWxBX5zkL08ynm+++WmCVifWWL/yisvTtttumz71qZxHbUNj6NXvZ4W3nvb5/Be7sGQ3YC6EAXTcccfRI8XfTW+gr9w+SBPMvMm8FTcijSXqv29J3/72AfLRj8m1vy1PrF1+hdSzCE3CHYuVrWLp331r//3T/6PxAYe7OE1kH0qrN6edbppcQI/uLPqq6J6774HuRBNrtGItT6wx4+knn6QVoh+QPo6WygQ1LLXkMZQn1jD+yYq1FfKjoPhB7vxP7vjr2p+/Vp0/VniL9jUOEX9JBsmRKlFyeEgMmAthMqgqzwpvkX8ah8g/SQbJkSpRcnhIDJgLYTKoKs8Kb5F/GocplH/6KCg3UUU/twkh/5JLZ4I49I9Z5ZzAP4Ys1fbNDrqCheiMGUb7FPSIf+Rf9L8Yf2L8tXuC7pWiYymXlRd2/dGJm6XkWscTazz+nnLyKenf377Q4PWPV2fdeOONwlmAJgZ4QmqttdciPv0ROzopvWeR96UT6AuVvVv+oZvSV/SupwktHOMF55+fZqM/zP34zx8v+PWvf0PV8OoqXUnXVydPrG240YbW/u577alfAc1kecfTOutIW5dccmmacaYZO9U88/TTabvttktX0EoZHn9XoVUruzSPpuq7sa6X3zPnnPXHFC7nCZFtvpQ+/alPpl12282OCw3h8UUO8aabb5o2p8mVztZz/ecvHS6BRwwpWGussWbaaaf6kUuuh8O6K63O+cmPz6NVM/RvlmQ4myYR5p1Xv6bInGdpko4/OCA/jvw8xvy/U05JC9GKHtl62n/ggQfpXE9MC/37Qmn+BeZXHu35K5iLL7kE5k3Spz79KXpXH6981Pw7nFZ58aTUHnvskSfWclH+oTjp2WSip33zOcCx5M2vWCvVvrD8d9XST6damvsPeRSU31uXG9B3rGGyppSWL78uvgTxJkn8eWJto/woaGERono2p9WK8uEFisNcPo+ofc6/bejl/Z9a5dMUT5qgfZ7blDr+59P81ltvTStAr0r80ZAPfGDpNJH64113/ik9Rl/ZnYNW3b2DviC8MK3Ak/crlR/arTrH/4tf+GK64qorJU0WWeT9NLF2TJfrLPwY7geXXz498fgTFv9zzqpzH/TzfnRe2o1X6NLv4Pw/8ogj0rz0OO46a6+dOK8OOPBA+UeBC3+av1hMv+IEesT6Pe95D6roSJ5Y22TTTYip499e++6TPrriSh2eGJ7H8eO3DXWTvopLtS9u/ve11WeL9jGsRfz9mqFOrpRE6bj6xt8uqd9Sqo34R/zLmq1OtpRE6bgi/yg4zf1PN0i1pedR0EyQiznj/svYWOdBbrbQTm/xXJrE4B/K0X4OfW8AJcT9Hgo8hxdbLyniL8GN/Iv+R/2jv4tQcoij1xv9j8aX/siQ4xUy/nxz/2/SY5b/JyMpH+vqvOKMVpDxlkdQwdjxBMp5NIGz3Ve2oy/orSNmnti6mR6F5DVZXObn9J6jWV43CyGqkQz++nf/3+5PK9OKMm6LJ/M+Sl/w3GuvvaUev/scPR7661tvFd6CCy448LGAJB842HDjDaUtbn93m8zRX//bW3+b1v3selJPd6KHOPxDaHfJJZfQ1023k9+/3nrrpS/TBxW0Bv1VW265ZbrmmmvkeGabfbZ0Ab9XKm8XX0xfRqVHNNegl7fvRCu3dNPSk2hybDGaHJNmyLHxJvSOtS22zJTSfi5UCZ2woXd35W11Whm2M+rn6vP25JNP0Eqb5agNjT+bzzzzjDT//AtU8f8mrSw87f9OExv/Hq5vp535XOPXccmy7UqThD+mr7HypCPONXvlnWL06KNuI+ljH19ZJtGyIR1IExQnn/wDet8UvcidVu/48w+OyHHc/9iKtWv0fXdST+/Pz2ePxHjbP54mB3mSENvVV1+dppkmT6y5+NMTEfQxCJpozPHfWt6xtiEVox/WtL8lfTH0mquvkYjPSo8bX3Ah55EewMX0lc3t6SMQOM/5CNB8LV37uXjtR/Y27VekccTfyuf2V6RJpAce/Hvaeusv0CrTDcwtB95z/I5AFKpEDl2Pn308UcdfX2XLu+lR0BOOP74qYkpu/957/0wTu58kM/9BNZpmpQn6Cy7gmDKBaiGB83/UUUelo44+Smxc/+H0FV0epz73uc+npZem90secoiU/Rp9gIH9vAptg/Xp0fYvfpFQs+X2r6D3x22zLfu1/Xb88e03NdDvoEq4Id113YMecuT2pZDU0RZnAjlI4PhbRrQf8Y/8417R24Gki/V7qEj0vzKc9AYpxp9X+vhrj4JKJuTzXbJC+0jJjZIQ0t96+FpWHXBDWr2VwSkOglubsgYjJMgm1QE3ZOPOqvM6CG5tyhqMkCCbVAfckI07q87rILi1KWswQoJsUh1wQzburDqvg+DWpqzBCAmySXXADdm4s+q8DoJbm7IGIyTIJtUBN2TjzqrzOghubcoajJAgm1QH3JCNO6vO6yC4tSlrMEKCbFIdcEM27qw6r4Pg1qaswQgJskl1wA3ZuLPqvA6CW5uyBiMkyCbVATdk486q8zoIbm3KGoyQIJtUB9yQjTurzusguLUpazBCgmxSHXBDNu6sOq+D4NamrMEICbJJdcAN2biz6rwOglubsgYjJMgm1QE3ZOPOqvM6yM6/0UTXSpjoIp3/OD38sO/SSilagcMXRce/k96XxH/083bmmafTxM2C4r6FVqlsQCt09Bo6Ql+JXDPtSBNN2VBVchR9ie9I+uMW3BNOOC69+z3vLdTc4DqfWUe+5slq++il/IDMu/6G6xM/XolHsfbYY09aJUWPgubf/Vv6SuB6n12X9JHEj5Zx+9NOVz/Ox9RzaIUX/1HMx7/zTl/T43THv/vuu6dz6IMA2C6//Bfpta+dQZr5Fk1Y/S89Ert5/nCDcHL7vLpriSVpEor/uqVtA/oq6Be++AXB2GVqVrOWBSaS2PlJepT1G/RlT92UwPsf0e/6Bv0+xJQP/vjjTkjvfR9W2ij3/vt1UrP8oT1CkwuH0rvQluzE/8476FyvQeeaip5Bk3QL0JdZ/bbSSiukv//9QTn+/6C4Hk2P7Gn79DGK1VajVUt3pe8d+T360iyvMNP2pbyDqK82ZQ1GyEwuK9ZoklPOVidNlVmVc4qDk2v/hBPpS6v0WCsOrJpYy8fE1Y3SOV6M+gvivxVNnvFXaFHOH//u/717Ovvcc4zLefRvr51e9P0oj/6P3nG4+Wb5y7pcYc/v9QcINySOqS7nvA6CW5uyBiMkyCbVsdHGG6Wbb7xJ+h+vsuP3IU477TT0Bdxp07SvmTZNR4/OTj/Da9Mcb5wzveY1r+k9Ht/EllvSxx2u4Ueu6cMD735XOunEk1wcrXECWuox+nLu8sstZ/2fyVdeeUV6zXTUFhKSuI899rh8JIXfY4f8/84hh6bXv27mtP4GG6YPUh08IfzEE4+nz673ucRjnZSnZs6h88UfAqm30XTPPfemDWgy8R+0shPjz5e//JW03no83hDbtW9KZdcaa1PWYISsGydNHXBDGq0yOMVBcGtT1mCEBNmkOuCGbNxZdV4Hwa1NWYMREmST6oAbsnFn1XkdBLc2ZQ1GSJBNqgNuyMb9/9l7E/i/iupueBL2sCkiIi5Q61KxVTAJtvapKC7PW9vaqtj3VaFWUVTAtY91bWvdEBXFpS5gtSJotYpWq23falvrThIVtWqxgguoxKWIkgQCyXPOnPmeZebef8LfBBM49wNzvuec78z87rln5t7/5C5NdV4HwY2mpsEICbJKccAN2bmb6rwOghtNTYMREmSV4oAbsnM31XkdBDeamgYjJMgqxQE3ZOduqvM6CG40NQ1GSJBVigNuyM7dVOd1ENxoahqMkCCrFAfckJ27qc7rILjR1DQYIUFWKQ64ITt3U53XQXCjqWkwQoKsUhxwQ3bupjqvg+BGU9NghARZpTjghuzcTXVeB8GNpqbBCAmySnHADdm5m+q8DoIbTU2DERJklXRvpH68ACRIJY1AKPPE0dNbTFcEADl2qxahzBNHT28xXREApPY2AqHME0dPbzFdEQDk2K1ahDJPHD29xXRFAJDa2wiEMk8cPb3FdEUAkGO3ahHKPHH09BbTFQFAam8jEMo8cfT0FtMVAUCO3apFKPPE0dNbTFcEAKm9jUAo88TR01tMVwQAOXarFqHME0dPbzFdEQCk9jYCocwTR09vMV0RAOTYrVqEMk8cPb3FdEUAkNrbCIQyTxw9vcV0RQCQY7dqEco8cfT0FtMVAUC23j7/hQvq1/uuXHdltbCb3xV032PuU3blP1Bp+/Z3vlOedMop9Mfkpe1OJ3unFvv5kanXua9Snnji4+qdIHvRi7+5Pb474py3n1Ne/dpXy60g9EcnvqDHbt64bX6EjOWf0wLSev49dHv6kk1LyqmnnVr4zjVujx/F/DZ9wW/DhnX1TrYP0vvE8Ifm/e53v/KIRzyCeHuW29/+DuXCCy8k/Thqhn4F/Xf0fY4uL3nRS8oee+5R++Tify7/SXk03ZlyyaWXlGX07rH3vPe99TE2XmTDH8TyoYe/0Don0nvYTqRHwC7/yeXlQb/3oLKOfut5572v/kYmXXTRN8rGjdeU/6SX0b/4xS/V/n/l8F8pp5x0SrnJTW9S9tpzr3LoYYdqmx5Iz5vpq60vKh943wfKJvr9/DXS97z3PXXRAL/sI/TYmrzTDhZp5W70SC6/K+6WtzyYHuO8rfyNT5QvfPEL5cmnPLmsowUE3j2++//FdGfZfY85Rhcc+VifQsf6uxQPvoORP0zQb8+nhbx/oAWHulE7b3zjG+hxupX1K4pPoDvybnWrQ8p73vPeupiivwwAsm/U6UIZiVhYW7V6ta1b4EcEi9VVBADp+ushU97GOU13NXH+cfxX0x2L9ZFG8rGfjzF/YOLrF369vPCFLyCLrKQcecSR9S6mvegrmZyzu+2+u8b/Q/9IH5H4s78QKjXCH7Lgd9/95PLLy+89iPNoXXnveefVej7/qPGwcf+6blM9vcV0RQCQocWoCGWeCI9+vMSNFWkJDIoVrWTx+Ft+9+Xlt47+rfKQP3hIeCT7u9/7fln3s5+V71/2/Xrn44/au9r2XrZXnQdudctbUQx3K4cddhjNR7sOeyt3uX2G7BKR4x55XI3/Uv7QBG0/ueKn9Gj3c+gddvSo91IytFWwhz7koWVPmgfOocff/4Ae4+Y7NHn75je/WfO+xp8GyFErjiovpkc8b3qTm1R/5dDCGy+grl27VpKh7T8/0s53vB1yyC3pMes71nzRSABAamsjEMo8cfT0FtMVAUCO3apFKPPE0dNbTFcEAKm9jUAo88TR01tMVwQAOXarFqHME0dPbzFdEQCk9jYCocwTR09vMV0RAOTYrVqEMk8cPb3FdEUAkNrbCIQyTxw9vcV0RQCQY7dqEco8cfT0FtMVAUBqbyMQyjxx9PQW0xUBQI7dqkUo88TR01tMVwQAqb2NQCjzxNHTW0xXBAA5dqsWocwTR09vMV0RAKT2NgKhzBNHT28xXREA5NitWoQyT6we+tcvlm5DBZj5hEwY/5QFt1jdBQwckK5JB9VbgWoTDPbxlv1n/CkXMv90KGDQxdEDDVJGT1+qtwLVHA02lrzl+MvxR7lwIx5/3/rWN+n9Tk8pl3730poK/Acor0X91tFH0/u5rqH3P32S7JvLQx56bHnmnz6D7kqRP3Bl/Eh5Hi0I8GIZjyp61Re/cqocefcjaJFrWfkCvatrHd01whv/wXray15ejjnmPlXH+HviE04qq1bL45boX/4Gpsb4x/BdLIffhf5wfTZ9SfT4VncU6P+Vp7+qHHSLm9MdJMehi0q+2QE3Lb9xz98shx5623LZZZeVD3/4H+vC2LK99i5vpC8FHn7nw4VPbG6LZ4erN15Nd7I8khZTLlYrv/j8q1/9al0MweOj5Kx1jlq5ou6/vIiMf39zkOD953ehMPOd9T1ndxTnRP79N73Dju9+WreeFhlp/296wM3Kb9D7zXjR8OKLL9a76PhuPH73HW/Yf44/9//Rj/5r2X///auPi3qsn0zHmhbOZJPfcvS97l02XrOxfIpfHk/Hn7/2+X/oYwl815FsiMbm8h1a2Hzwgx/c7CI4Hmv4Aw+knkF3//wWPZ6q+x+Y1o6YW3Am9h9M4W2ui3e8h6tXrwktekXrVKCao8DGkrfp/t/2N39TXkOPgtKyUN2PVfQo6JIlvDIj9bHIV5twBXuR/3/3nneXX/ql26n3anqf3/H0aPI3NI8KvUB/BeXRV2h8rKe7K+kxZP5CLv8k2vBLoxat4rNSvRWoZgRtlX28Te8/e2JtaJC0KE13a93/Afdnqm7sxf7r8W9dMInH36kvPa3c/e5H1jrPoLtb/+3f/pU64ziTqTZQQ97WwNhOHzmhXHzYw/6wEZgoGy/E86PKvCjJG1e/211/rfz6PX6DFr7/hxaAP1QXkn+N7ow9+OCDy0fo8VuMv1qBOuWPSNzqkFtr/x//xMfL0+lxcMw/B9zspuU+97532XvvfeodcV//+n9L1YkS+//qM15T7vmbv0EM+61CZwZ2lC0N+/1vVcAc6/VtCoNLrVOBakZQBvt4y/5r1DL+mgpI2Zg90CAle/pSvRWo5miwseQt8y/zj3Ihx58OhZ1h/C2hj4LSeRSDWYbyVDnNgBUy1uQ1O/lXzO7FiURHnsh5bLq+b22aASukr0F9ZP8Zf77tgJKMLxb1covSJfNP5qkcf5QeOf9xEOLk2WkzM2yrN+O9Ac2/fKfIq884gxaaPtwiw/GSPy0POujm5eH/3yPK8X8UF7T68893vv3teqfSO849l+YfvlOFm6CZaSnNT5uX0t1jDy/HPuzYclu6i6rfnkDvMeO7gviuD7kzxfq/hhZ8+GX6K+nri0+lLwfyXSl70YcI9th9j3pXFC9WbaLOrqVFwA0brqJFiivLS+lrgbehl+4/8uGPoLu2DqE7uE4qZ5/9tvqIab2LRiYG+hmby8qVK+kRzSeVuxxOi2phw3HfXC77/try/Bf8ZVlNCyy88fzKHxz/zd/8zfJi+mjCPvvtrxnGj3Dutffe9c65XenOGew/78eGqzbUynyX29lnv50WC+8s7VHJexy3zeXLX/7Pcvrpr6jvsWNGvZOGSNz/beg9as985jPLFXTn3LOf9zwZ5twK5SXi/0+0cHjgzW9GNaz1H1EsX33Gq+qiIpFrl9hTviOQFyqOP56PNayQlVoLXizlu9n4EVPEn6eZRz3qj+vdjdvj/MN3xXFffMcab33+6R7S7/h5+3/rW+kda/SorMRtXMxbURdPN5eb3exm9Tct3W23Gn/+2uyG9evLlfT/hz70wXLwQQdTExa/y9ZeVp7/F39J7+zjPOJfzL5Ci733pDx6Udlvv/2qLgXqQToXwe25/1vqn7+4yx/N+OQnPxmOf90nl39+/Nd9pV3mRWxezOL3zD2D3iv3b/R+OX4/2m7tjjTum+PI808dzzRWnvZUesySFh79hv3/8Y9+WF5Ni6D/RovI6+qHDCz/l9GdoU968sm0EHxsueKKn5S/eP5flE996jP1Ny9btje94/GF5V70KGgf4csuW1te9arTy0c+8lHqEl4ZfzxHnUyPdB9yy0PorsMnTO7/y08/nRbjjm5VUd//+oinGbBCdnVuQOefmT2kHcYY0dGtQcDx5yDn9W9e/2uGUDL9vPO/JBmyElJTr4LMv1z/uLGu/9SvgoZhoYqCOFomNDDpPFb/WIBUKghqiCC4VVEQyRMamOgXUqkgqCGC4FZFQSRPaGCiX0ilgqCGCIJbFQWRPKGBiX4hlQqCGiIIblUURPKEBib6hVQqCGqIILhVURDJExqY6BdSqSCoIYLgVkVBJE9oYKJfSKWCoIYIglsVBZE8oYGJfiGVCoIaIghuVRRE8oQGJvqFVCoIaogguFVREMkTGpjoF1KpIKghguBWRUEkT2hgol9IpYKghgiCWxUFkTyhgYl+IZUKghoiCG5VFETyhAYm+oVUKghqiCC4VVEQyRMamOgXUqkgqCGC4FZFQSBfccUVhb+m+cMf/rDsucce9K6jX6WFmQPlzxuqwotlW+qfH+n86le+QneM/KS2vR/dMcWLVnvTYpP+jWog9D+l4JeiX0jlgqAGAfw7/pU+psCLFgfSAghfCK+lP5i//e1vlZ9d+bPCdxPx43r6UvquPlQ0z/1+7/vfLf/1tQtrHA477LDC/29pV1C/tqeKAnQzK5l56SWXlO/T4t7ll9N7oshwK3rc7Ffo7rqldHvQd759SfnSl79Y9t93v7Lv/vvVxZn99t237L3PPvQuuD3iz9NuN9NCw0/rsf4RHevdiXeXX70LvQ/r5sPvQBXEHXITLSzyI5HfuvhbtJC4V7kj3Ul3IC3C9hvqV7sqCnr6oIO5fPlKSsBN9T1cnIe6gaCGCIJbFQWR3LS3vOUt5Q2vfz3FjpbyaGFsDX0wAfsNqRUXbmoy/t/7HuXRf11Ym/glyqFDOY9mNjSPfiGVDoIaIghuVRRE8oQGJvrl4/4kWljiDw3wdpc736W84EUvoAXz29AiMt/VR1+Pveaasn7Dhnon2fm0YM7vMeQ7GjkYfOyeQO9TO+GEx1buloq+f/wOrQcCGb5Ld91+jT5aspm+GHrbQw+lO1MPtcdxuQJxL774IvqdS+iR5VvLu9+0oRHwwt43LuYc/ybd+XnTcvs73K4cdPNb1H3gOZJjsO8+NOb237fwmNtn333KPvvsWx8rR2vu57m5IlhBnZRgYr8hlQyCGiIIblUURPKEBib6hVQqCGqIILhVURDJExqY6BdSqSCoIYLgVkVBJE9oYKJfSKWCoIYIglsVBZE8oYGJfiGVCoIaIghuVRRE8oQGJvqFVCoIaogguFVREMkTGpjoF1KpIKghguBWRUEkT2hgol9IpYKghgiCWxUFkTyhgYl+IZUKghoiCG5VFETyhAYm+oVUKghqiCC4VVEQyRMamOgXUqkgqCGC4FZFQSRPaGCiX0ilgqCGCIJbFQWRPKGBiX4hlQqCGiIIblUURPKEBib6rZIuptmum5BAFXOwobbW2BKwtiqiQlfLJ6qGvpo/2LJ/ufKaiN20SaLHvoqoyPhTCKeD1S7yLWYat+bRvx5m6o9mayvjT3HP/MvxR4Mvx984UwxzTaPIDNLmkTz/5fkvrJpZHq1csZzOUkvoUVD3VVCct4i2Lc8/Z735rPKmN71JGqW2Y5/2m1qv1bAt+/c9LIzbuCHS9dX/xRddRB8poccyaZJbRu89/Kd/+ue6kLSl/l/28peVd73r3VRtczn66HvTnZinW9xwHHP85/ifGf/T4+D6z//4O7J/XO1safxz3CRaFrPBluM/x3+O/zjFLKjZWLo+x1+9Y81+l/0InMcx1MFxDF1jwA+e/WvJGkMzM9K1rlBBreM1zDHV5h1D6ws6HdvxFCrI/ikCPhoZf5nja0x8YFxGCVzQ6diOp1BB5Xkt45/x53NszQmfGC6jMv84AgsGx0XL8RQqqDyv5fjL8bcjjb8VR9FXRilBx0Uun7Uu3QfoeAS/c8l3yivpMduPf+KT5dePukd54YtfRB+WuGm9zHvFy19e3vm375I7NMmyhu66yus/CSjfBfqn9M4z3u5zn2PKy19+GqG5f0qotFp89Sv/SY+TP6pifhz8vPedR9gdk07L+Sfnnx1p/plP8ZjDNcEnC8dTqKDW8Frmf+Z/5n9e/9c5wU8Mw9yyoNOxHU+hgus0/3QLa/E0Hpt0/bsuFuZYHeEZuyJTlehNHitBgXgX5ii5XZ4YuyJTlehNHitBgXgX5ig5+6dQ8L/E4gKzIlM1UN7ksRIUiHdhjpIz/hSKjL9lS0WmaqJ4k8dKUCDehTlKzvyjUGT+WbZUZKomijd5rAQF4l2Yo+TMPwrFDT3/lq9YUe8IXr3G37EmOdBnS9UnksebTqP38P3du99dI8dXho854THlpCeeVBv8/d9/EH3g4bs1r36VHmN+29lnS0cz5WL6979lbLZvcWR4S8+u+kQH3uSxb0uweKc4n/vc58qJJ55YafxOvve/7/1ltz3466fGrsjUyj3vvefVL2zyH4v89dQzzzqL6sxtUrlrYo6c458is6X4c/B8PD0eA5vxjxEdI+QtfbSqPhFgb/LYtyVYvAtzrFbPrvpEZW/y2FoCEu/CHHCRV8auyFQlepPHSlAg3oU5Ss7xT6HI8W/ZUpGpmije5LESFIh3YY6Sb3T5pwtr8wHCiy8dQ6ECi2BFc3Z2wgcpVaMmNnjkxZuOoVCBr0B4zs40+CClatTEBk/2j5dCt8s8DZYCHzDCc3amwQcpVaMmNngy/hl/f1LUFDLgE4bwfDaZL3Ki5pvL+S/HX46/HH9uhlCowE8Yv7D5R77EyY+C4sX/3c+qKn4zpHCiJrbHP/7x9N4vendaWUp/lGwqD3zg75QXvOAF9R16x9GL8umTGHTH2pJy6qmnlfvd776us6nW4IYPcr5/eHa2+WczfXL2sY97XLngC1+kXdhMX7+8Z/0gwwH0xc+p8w+/k+0jH/1Iec6zn1P9fJX10tNOK/e9L8c0zz872/G3Y0yHb9iQ95BCiJqvlMc/j39ef+T1h5shFCrwEwbhOTvT4IOUqlETGzw5/q77+KOFNTqr+38X0wgr8FEOODJwAmiU4CSlvdgLt+9aQ4Fox10TwJg9ijWzfxkAGf8agZAcmX85/ujPFfov5x8KQ1sfl5kiDJScfzUcCvrTjuqRkeefPP/wBVjbQnKQcj1c/yyvXwXlhTV6LHMb9H/mmWeVM888E3tUnvKUp5Qjjjii/Mmf/Al9hZY+EkGeo+mLka94xSvqRyLy+Nvx/9Y3v1We9vSn0YdAvk05QXMDHf8H/u7vlN/73QeVw+oHA3apH8f4zGc+Xc499x1099+lFE3Jk2c+65nlYfR14HBdrkfBQDjE3Af19IvMv+w/45/518ZnGJwyrnlw5vVnXn/m9bedw7oLFaeGAeQrKI6MHev8p3esuT2qP9x+piHdI4C4Z7Dy5YGd4AlDF+lLreJYYrNeDXl2xWi4c/Rm6L5n2KxqtFivhozbUKyi7t4MXaQvtQoBsMRmvRry7IpjFXX3ZugifalVCIAlNuvVkGdXHKuouzdDF+lLrUIALLFZr4Y8u+JYRd29GbpIX2oVAmCJzXo15NkVxyrq7s3QRfpSqxAAS2zWqyHPrjhWUXdvhi7Sl1qFAFhis14NeXbFsYq6ezN0kb7UKgTAEpv1asizK45V1N2boYv0pVYhAJbYrFdDnl1xrKLu3gxdpC+1CgGwxGa9GvLsimMVdfdm6CJ9qVUIgCU269WQZ1ccq6i7N0MXBFM/QwAAQABJREFU6UutQgAssVmvhjy74lhF3b0ZukhfahUCYInNejXk2RXHKuruzdBF+lKrEABLbNarIc+uOFZRd2+GLtKXWoUAWGKzXg15dsWxirp7M3SRvtQqBMASm/VqyLMrjlXU3Zuhi/SlViEAltisV0OeXXGsou7eDF2kL7UKAbDEZr0a8uyKY5Wykh4FZdMq+niB/oFLOmgifelbBEts3Ou6K9eXJz7x8eU/v/pVesSUWyROE8z6nd9+YHnunz2v7L777lKplbGlxfcvyxRbv//4ETtK/xvoq59//ea/Ln/77neVDeuu5Pv76N4/2R9ZhOJfim1zOfzwu5RnPetZJA9vLAl2WLACnWW/o83Xm6GL9OV8YxZ1Q55dMRruHL0Zuu8ZNqsaLdarIeM2FKuouzdDF+lLrUIALLFZr4Y8u+JYRd29GbpIX2oVAmCJzXo15NkVxyrq7s3QRfpSqxAAS2zWqyHPrjhWUXdvhi7Sl1qFAFhis14NeXbFsYq6ezN0kb7UKgTAEpv1asizK45V1N2boYv0pVYhAJbYrFdDnl1xrKLu3gxdpC+1CgGwxGa9GvLsimMVdfdm6CJ9qVUIgCU269WQZ1ccq6i7N0MX6UutQgAssVmvhjy74lhF3b0ZukhfahUCYInNejXk2RXHKuruzdBF+lKrEABLbNarIc+uOFZRd2+GLtKXWoUAWGKzXg15dsWxirp7M3SRvtQqBMASm/VqyLMrjlXUXc38VVCsoocmXCWBrnS++oOqThcBwc79kKH9S632OgGyf1nFz/i7S0iXSwJd6XyZfxSMGo8cfzn/0OTKf4vpxrlBhmBTp4Kcf3P+5X9FzfPPzn3+WbGcPl5Ax9E+XvDzj/+NGzeW//9fPlLO/8ynyiX0TrX9b3KTcvvb3b7c9/7HlDvd8U40h+T5Z0vn36s2Xl0+8fGPlwsuuKCsXbu2rP3BD8r6devKgQceWG5+85uXQw65dTnmmPuUX7rdYXT42mRdz+kyRQt0pfNl/CkYNR51Aqv5rye2mptkbyE1e0R5/qMQ1fDt3POf5IE/tpwbefwz/31OjDjHf47/bT3/uTvWuoQLJ2/2eUO7BPcmre4uz9WvoDXjdK3XgYHiDdl/PQX6kGj4Mv56eaDxUZD5V0Ph4qF504GB4g05/nL80Z+APiU0fXL+yfmnLQ9ofijI+beGwsVDx00HBoo3TM+//I41fuzw/NVr5G8praIg419D4eLRhV3VgeIN0/GXujn/5fyX819dy9QhoyDnnxoKFw+dcDowULwh55+8/s7r7x367w+5X40HtQzcOHzbP/Z4Yx3/zlCh6FzyZv9AZDwgSGH6Ujzer1gB+M5Qoehc8pb9SxxwTFlDxCDBMGkxRPyUqwBsZ6hQdC55Q33r1ZCrKWQtrQ3UV64CkJ2hQtG55A31rVdDrqaQtbQ2UF+5CkB2hgpF55I31LdeDbmaQtbS2kB95SoA2RkqFJ1L3lDfejXkagpZS2sD9ZWrAGRnqFB0LnlDfevVkKspZC2tDdRXrgKQnaFC0bnkDfWtV0OuppC1tDZQX7kKQHaGCkXnkjfUt14NuZpC1tLaQH3lKgDZGSoUnUveUN96NeRqCllLawP1lasAZGeoUHQueUN969WQqylkLa0N1FeuApCdoULRueQN9a1XQ66mkLW0NlBfuQpAdoYKReeSN9S3Xg25mkLW0tpAfeUqANkZKhSdS95Q33o15GoKWUtrA/WVqwBkZ6hQdC55Q33r1ZCrKWQtrQ3UV64CkJ2hQtG55A31rVdDrqaQtbQ2UF+5CkB2hgpF55I31LdeDbmaQtbS2kB95SoA2RkqFJ2/CsrbGnoUVDbjAUE2ghPi8X7FCkB3hgpF55I3/H7ba0OuppC1tDZQX7kKQHaGCkXnkjfUt14NuZpC1tLaQH3lKgDZGSoUnUveUN96NeRqCllLawP1lasAZGeoUHQueUN969WQqylkLa0N1FeuApCdoULRueQN9a1XQ66mkLW0NlBfuQpAdoYKReeSN9S3Xg25mkLW0tpAfeUqANkZKhSdS95Q33o15GoKWUtrA/WVqwBkZ6hQdC55Q33r1ZCrKWQtrQ3UV64CkJ2hQtG55A31rVdDrqaQtbQ2UF+5CkB2hgpF55I31LdeDbmaQtbS2kB95SoA2RkqFJ1L3lDfejXkagpZS2sD9ZWrAGRnqFB0LnlDfevVkKspZC2tDdRXrgKQnaFC0bnkDfWtV0OuppC1tDZQX7kKQHaGCkXnkjfUt14NuZpC1tLaQH3lKgDZGSoUnUveUN96NeRqCllLawP1lasAZGeoUHQueUN969WQqylkLa0N1FeuApCdoULRueQN9a1XQ66mkLW0NlBfuQpAdoYKReeSN9S3Xg25mkLW0tpAfeUqANkZKhSdS964fr1jTWkKqp9+DRnam/bUpaBxIHr7pA5jk1HY3mubRMj+azQQOV0hQ4wgldAMkzqMTUaR8Ud4NKZkyPyr0dDQKECQFso3x6n1ULnJKDL/EB6ELeffHH85/9TRoENDAQZJk719UoexySh2+vln5cqVdHmwWR4Fxa4iTFWHMe44rMO1Rc4/Of/k/JPzD0Vgdo4I8wsUX6HZagNopckoXCeoQ4TMvxoMRM4ORIsRhBIQO5JYIWBT9YPUZBQZf4SnhTDXPyggOf5qNmhqKECSNNnZ7VFQdxHlq4AP6X3A5jMEH2T1DG5nyP41iREzlogQpPcBm88QfJDVM7idIeOf8W+TKHKGJTIE0vuAzWcIPsjqGdzOkPmX+Zf5h+GiEiMEUh0OmM+Qc1dYPYPbGXL87fTjb8WK5fVYr6ZHQfstjz8dXpfuEh9nyPzf6fPfrlb67G8ed7jz+HMEXEAy/zP/8/prmDgwQiAHQhhF86zqGdzOkOPvBjX+bGHNZ4w73tXc68odHaNFyQaItJmuctqbCMwO1DfS6+D5E0OzzVK1DoHsP+Of+ZfjL/yTnpsg+kmk15U6OkaLkg0QKee/nP/z/Of/Sd2Gx3Banx1Uo2O0uHYBb6Djb+WKlfTlyc3uUVDscCdvoPvPe3ljPv65/3n8M//p7/NuuhvUnP/y+jP//su//+Zmin4S7XWdUEYHLHFhjazhIyozq6hT7UqDaLYxoFbJBZ/47KV7cDd2PStm/+7EkPGfXMX2+YKxIbnUZRTUKrnI/Mvxl/MP7tzA8PDjKeffnH/1D5M8/+xU55+Vy5fTkxtLyiq8Yw0DPM9/dBzz/J/XP3n9l9d/ef2X1380E9JFDk6Pef3bIkAByev/bXP9LwtrQ4b1SecIDmpCLhagLUjXTjQ5zUFHXxxEW5CulWhymoOOvjiItiBdK9HkNAcdfXEQbUG6VqLJaQ46+uIg2oJ0rUST0xx09MVBtAXpWokmpzno6IuDaAvStRJNTnPQ0RcH0RakayWanOagoy8Ooi1I10o0Oc1BR18cRFuQrpVocpqDjr44iLYgXSvR5DQHHX1xEG1BulaiyWkOOvriINqCdK1Ek9McdPTFQbQF6VqJJqc56OiLg2gL0rUSTU5z0NEXB9EWpGslmpzmoKMvDqItSNdKNDnNQUdfHERbkK6VaHKag46+OIi2IF0r0eQ0Bx29wpX08QJ2r8bCWk/odbQF6fzR5DQHHX1xEG1BulaiyWkOOvriINqCdK1Ek9McdPTFQbQF6VqJJqc56OiLg2gL0rUSTU5z0NEXB9EWpGslmpzmoKMvDqItSNdKNDnNQUdfHERbkK6VaHKag46+OIi2IF0r0eQ0Bx19cRBtQbpWoslpDjr64iDagnStRJPTHHT0xUG0BelaiSanOejoi4NoC9K1Ek1Oc9DRFwfRFqRrJZqc5qCjLw6iLUjXSjQ5zUFHXxxEW5CulWhymoOOvjiItiBdK9HkNAcdfXEQbUG6VqLJaQ46+uIg2oJ0rUST0xx09AHGO9bUPVF7wlTp1e6cChXoyrBZ+oU77bgBz5w3Zf8UgRoqFy+FCjL+FCa+C8MiEnHNo1B4ZnNMmKqn2p1ToQLt1yzZv49FCL0FNZrnKlS7cypUkPGnSGb+xzFn2RHTTLQJ74SpcqvdORUqyPzL/Ltext8KXlijtFuzhr8KmvmHf3tGJCB53HrMetwmvBOmWqfanVOhAu3LLNm/j0WMPWsT3glTxh+hcsFRqECjaZbJCNdwSuGZzTxhqp5qd06FCrJ/ClRef8Wcs+xo+RXEhHfClPlHEahxccFRqCDHH4Xp+h5/tLC2afNmuv8P7y20w2GZDhske4Ahjd0jz/AYPPqOVfaf8efMp206Q+YHxhRfWkLpGR6bP/Mvx3/OfzIepkdIjr+5E/NUvDCzjBGdYuf5L+ffbTP/8sIab/GONZ9zHkt28hk3479t4o+IRulj7jFYGf/Mv8y/vP6S+WB6hsjrr7z+in8bI08gcTYZpWd4DGaef7bH+cfdsdaCXoU/AN7OB8P7cHC2XmptAuF5XrRbCcqy/tSkYOs7dUytTSD7lwlbwtMiU4VGKeMf8pIj5WMjkbsupdYmkPmX+dfWky2vKC9WrOSv+5GnOiVjlmzizGPbJirFx3en8Ma0iiufCyI3jqbrJq5DJ9HGZ8D5t5TpjOGphMZiX7Nn/xwJjmHGP/OP84DygYcJbTxMcvy1QNRo5PxTs6ImRotLzr8UEj3L1NPKz3P+0fcIUnivy9bObNo/HyLZmqcKZZHL25npfVLzupRam0Be/8ncKfHzcdYoWbzVpOC6hF25WptAxj/jn+MfQ6ONjCp0lOT4w3yvIVGAwE1Kt7AW/UN1MviJiC8k478yuBqAVfLJtF6Kuw5AcKYODgwyZP82EWb8M/9y/MmkIXOFmzEAq9z55h983c9O+pTrtC+baBVsCU/0/B9NhkvqW2irSgtktJ88QfLG+80rZpsI1D9muvmXbEuIyzSZUQRBYxt/XTD7rwGqBYc645/5l+OPBgL/l/NPzr88KdLG5fV9/lm1anX+/eFO93I2DwY5MFPn/3rE/Nm9HsZQ8DENDB7zZIAt//6gWLRgSKxcxACr3PmuPzkRsAuaFGTI45/5n+NfRsSW5j9dWBuGv6+po8vAwDcXIQxLyOaECqk8rtEtv2X/NnOH2IoyxCtwEGDIjH+NAMIBmflHYZGpcsinHH85/nDlGOYWUYZ8CRwMMMjmhAqZ448Ck+OPs2PIp5x/rvP8Y4+Crmp5pQONQzxxWWb+jH9ef4Z/fsnxd53HnwyyyYEmLgw3yDz/UVzy/CcZk/NPzj9YtqKMyPl3p55/l/Ar1vSfIWT6d9M9H19ytz+w9HzQeF4Mvs7QqbVqtU04vCn7z/hn/uHiA5chfuQJ9mPGBpfxBj+5qm3C4U05/nL85fjL8ccziZ8XbGYRNPg6Q6fWStU24fCmnH+2fv45yn8V1Adx5thl/Ol82sWJE9ObMv+2Pv/cn4UxiF1MOca8Zf5l/uX4o4EQBk4cOjn/5PyT19873/W33rFWz3ThkkJPfeIafGT2VyCNBaO4qPT3j4IzuxrbN+h1j+d/UvYvcdIy4z+cuOb/NaDPMa97nPlXIzARkhx/EhQtc/zl+OsunHP+odExeTdkP6F43eOcf6fmX3mEfFNZs3pNuzSjmOX8k/NPzj9twsC8QeMi558Yk6kJJfyBl/PvMJFMhCSvfyUoWub5Z0ibvP6j7LiBz791Yc2visvEwLNsOxvXEaLDpE6/OE+bNVoqyRdM5El6MpjkcXfFZf81WBSvjH9NoZpktainebbFbBNf5YYLAbHUsoaUisw/FxSDOf7sX8Vy/qmDhZIj5x+dO9o/q3eRabMNW+OMZCOroVqRipx/htCwIeefbTP/rFyxnHJySfdVUA5wjXLmX44/ToRhy/G3bcafDDScC1yYc/xRMPL8l+f/ibHBmZF//1NqIDZ1sqCoNJ3VvP6s8egis0Nff8sda93Bq8eRdgXHluGWtrDTQRlrDu7sPwyejH/LGcw1YwoNlpBTQRmo8ncGmbX5zL/MP3fyyvHXxowOkHEM9ZYw5ILSM9vf+WTW5nP85fjL8VdHhA4FHjY6QFhZeON6/I41rrKaXuxet5n6w/DUTtsr0AeCNLdQGaoEZaw1uNmQx5+DIH8sDAEaY9hbQpWg9Mycf4fwsCHzj4OQ+YdU4GEzM3+yq99CTgWlZ+b4G8KT4y/nnxvY/LuEXrHGN2u6rWZ5090QaGbvZZLoM060Su7NFDh7OSFaGV6Zqy1KVebxRr9wpgsxzzilcq2b/Wf8M/8w0tt4oUHls0KGC3ysMeYtx1/OPyENalZwIdnScsanjjKElPOvH2kIVI4/HxVJGcSGNca85fyzNfPPiuUraqhWr24LaxK8vP6hNMr5x480jLGcf3xUZLggNqzl/CMxyfl3a+ZfcCRmrsz5J+ffXP+4Ua3/0B1rm2jYu3+pwN/ecV7gS9tFb/5U5c9V0qB4axmI1t2M2QhbQKE+K7zpDom3loEoNC5nzEbYAgr1WeEt+5c4tOjWGIVANTeJGbMRtoBCfVZ4y/hLHDL+NRlqjoREaeEhMWM2whZQqM8Kb5l/EofMv5oMNUdCorTwkJgxG2ELKNRnhbfMP4nDDSj/5hbW8vh36Z753wUkr//rGAkDpU0PJGbMRtgCCvVZ4S3nX4nDDWj+bTs0iDz+XbpzhDL/W55IdtQyJIql0YzZCFtAoT4rvGX8JQ7baf6xjxeE6Lc+IfCxAeJMvYsQtClpzU7965irYURnbDD7p4FAIyHjn/lHaaBz4jhSBosNqxx/479Ou3BZoJyxwZx/cv7J+TfPPzv4+ZcfBeXN37Fm01rO/zn/2z377cxmwhLFbEB5/svzX57/8vy3g5//MF15adNanv/y/Hf9nf8mHgVtaVlPpoyn/4y3hPVpjLrONlm91V5ooGb/LfSTAVz4X9E4vNgmq2f8a3Az/+YXKnP85firc8fkBJLzD82v05EhR86/OPvMBOnGd/7ZvGlT+c4ll5Qf/vCHZb/99y2/fLvbU/7QnUKURJN5tIj5V+9YwzvW+ChMNy6ObXz+2/SWt5QlhxxSlvzv/2ebHv/NH/1oKd/4Rlly4onabssg1QPI8WfhuB6Pv3aa8ddQXJ/jTzvN+GsoMv4WCkNt9iSxLc8/2n7mn4Yi889CYeiGn3/6KGjd6ba/FgD5G8HOzRaQmjATfKkrDrghtd1gcIqD4EZT02CEBFmlOOCG7NxNdV4HwY2mpsEICbJKccAN2bmb6rwOghtNTYMREmSV4oAbsnM31XkdBDeamgYjJMgqxQE3ZOduqvM6CG40NQ1GSJBVigNuyM7dVOd1ENxoahqMkCCrFAfckJ27qc7rILjR1DQYIUFWKQ64ITt3U53XQXCjqWkwQoKsUhxwQ3bupjqvg+BGU9NghARZpTjghuzcTXVeB8GNpqbBCAmySnHADdm5m+q8DoIbTU2DERJkleKAG7JzN9V5HQQ3mpoGIyTIKsUBN2TnbqrzOghuNDUNRkiQVYoDbsjO3VTndRDcaGoajJAgqxQH3JCdu6nO6yC40dQ0GCFBVikOuCE7d1Od10Fwo6lpMEKCrFIccEN27qY6r4PgRlPTYIQEWaU44Ibs3E11XgfBjaamwQgJskpx1JIWyP75X/6lnP6KV5Qf//h/iEFW+mvmgAMPKC964QvLUUetJFu7wppoL5qaBiNk69fuWFtV24QbstG6izrndRDcaGoajJBE3vTmN5drTzqplP32K7u99+9KOfo+uvjuaNJsMDjFQfS/6dOfLtcee2wpa9eWpa88vezypCfb75/g+w7ghkSb+sOqwXkdBDeamgYjJMgqxQE3ZOduqvM6CG40NQ1GSJBVigNuyM7dVOd1ENxoahqMkCCrFAfckJ27qc7rILjR1DQYIUFWKQ64ITt3U53XQXCjqWkwQoKsUhxwQ3bupjqvg+BGU9NghARZpTjghuzcTXVeB8GNpqbBCAmySnHADdm5m+q8DoIbTU2DERJkleKAG7JzN9V5HQQ3mpoGIyTIKsUBN2TnbqrzOghuNDUNRkiQVYoDbsjO3VTndRDcaGoajJAgqxQH3JCdu6nO6yC40dQ0GCFBVikOuCE7d1Od10Fwo6lpMEKCrFIccEN27qY6r4PgRlPTYIQEWaU44Ibs3E11XgfBjaamwQgJskpxwA3ZuZvqvA6CG01NgxESZJXigBuyczfVeR0EN5qaBiMkyCrp3kD9eAFIkEoagVDmiaOnt5iuCABy7FYtQpknjp7eYroiAEjtbQRCmSeOnt5iuiIAyLFbtQhlnjh6eovpigAgtbcRCGWeOHp6i+mKACDHbtUilHni6OktpisCgNTeRiCUeeLo6S2mKwKAHLtVi1DmiaOnt5iuCABSexuBUOaJo6e3mK4IAHLsVi1CmSeOnt5iuiIASO1tBEKZJ46e3mK6IgDIsVu1CGWeOHp6i+mKACC1txEIZZ44enqL6YoAIMdu1SKUeeLo6S2mKwKA1N5GIJR54ujpLaYrAoAcu1WLUOaJo6e3mK4IAFJ7G4FQ5omjp7eYrggAcuxWLUKZJ46e3mK6IgBI7U3ARRddVN5+zjnls5/5TFlOj1w+4//8Ca0h7d+xREUTF118UXnxi15cLrjgC+RYUpYtW1bWrVtHGIxSPvqv/1b2329fM5lrsm02CmUkYmFtFX28wP4x1GpYg1ZXEQCkkQckFCPyoto1p5xSylVXVe7mW92q7P6Oc8uSex3d6hpXDKYrAoBkIi2qXX3c8WXJRd+o+1x2263s8spXlqXUV3srWGs/Ct+EeHqL6YoAIGOTQRPKPHH09BbTFQFAhh6jIpR54ujpLaYrAoCMXQZNKPPE0dNbTFcEABl6jIpQ5omjp7eYrggAMnYZNKHME0dPbzFdEQBk6DEqQpknjp7eYroiAMjYZdCEMk8cPb3FdEUAkKHHqAhlnjh6eovpigAgY5dBE8o8cfT0FtMVAUCGHqMilHni6OktpisCgIxdBk0o88TR01tMVwQAGXqMilDmiaOnt5iuCAAydhk0ocwTR09vMV0RAGToMSpCmSeOnt5iuiIAyNhl0IQyTxw9vcV0RQCQoceoCGWeOHp6i+mKACBjl0ETyjyxeuijoCzdhgow8yUaYdwzCrdY3QUcHJCuSQfVW4FqEwz28Zb9Z/wpFzL/dChg0MXRAw1SRk9fqrcC1RwNNpa85fjL8Ue5kONPh0KOP5kZMFNELVrFZ6V6K1DNCLroxD7edoz550mnPLl8+jOfrlNBWVrKQ/7gweXZz30uUoF+J/ZF5LXXXFse9ocPK9/+9rfrXjzwgQ8sz3jGn5ZHHvfI8r3vXlo2b+Jd21zOOOPV5X/9r/9VOVL4dtiy9fu/YgXf/baZ3rG2RpqaKNG6/FzVHBM2lrwt0D9dOm56y1tpUY3uVNsgi2pSp5SltLi2yznnlqX3PhqmKtH6lvrf/OlPlY3HHVc2X3RxqF923a3sesYryy5PPKlsXrp0Nv6xkmlb278cT663wP43r7SOliHF2pfqrUA1R4ONJW/Zfz0Wef7RVEDSI1MkT6BBirUv1VuBao4GG0veMv8y/ygXcvzpUMjxJzMDZoqoRav4rFRvBaoZIVxHsXnnnH+W0EdB6b61qR10+0pwmgErZFeHm+aXXlLt8OI8omOcSsPT9X1r0wxYIX0N6iP7z/hn/uX4y/kn5186QfOZqG50usjzj1yy5PmXMmIL1z9XXnlludfRR1v+UJXb3vbQct557+HK9P94/fHuv3t3Oe2lp9Xz780OuGl57/vfX/ZZtnd5+MMfUb5+4YWUf5SPVPVtb/2bcpdfPby1Q2JmG3tgIqwieWGN7+TiO9aqdztf/1z9hteXXZ/29HJ1u1ONd4jeLSJ9c1hueQjdufaOsvToe9Gv2vrxt+nTn6FFtUe2RbXWHjWH8bs73bl2LcV2t6c/tVkRh9q1Fnn9l9ff+feHzE/XZfzpAHJgZoQRQ9q30WmVcvzl+Mvxl+OPr1NubPNP/SpomDRVUWAz5QwCk6+p+GIRUukgqCGC4FZFQSRPaGCiX0ilgqCGCIJbFQWRPKGBiX4hlQqCGiIIblUURPKEBib6hVQqCGqIILhVURDJExqY6BdSqSCoIYLgVkVBJE9oYKJfSKWCoIYIglsVBZE8oYGJfiGVCoIaIghuVRRE8oQGJvqFVCoIaogguFVREMkTGpjoF1KpIKghguBWRUEkT2hgol9IpYKghgiCWxUFkTyhgYl+IZUKghoiCG5VFETyhAYm+oVUKghqiCC4VVEQyRMamOgXUqkgqCGC4FZFQSRPaGCiX0ilgqCGCIJbFQWRPKGBiX4hlQqCGiIIblUURPKEBib6hVQqCGqIILhVURDJExqY6BdSqSCoIYLgVkVBJE9oYKJfSKWCoIYIglsVBfWChhfW1q2nxzjZTNs973nP8prXvKZiMNHvFVf8tPzu7/5Oe+yzlGf+6bPo7jV6Txhtn/jEx8tznvPcsp4eCX3IQx9anv3sZ9cm+fK7bmgsWuGdlKiyfDndsbZkU1m9ak29DlMyCGqIILhVURDJTvvPM84oB9DC2sG0MLmB6HLxzBfRdMca/V9boDvX9jjnHWXJve/lakboe9r0qU+Xa44/rlxLj95iw5/u/Df8XkReS47vvfgl5W7PeXaloD7iD4n6Wwol6ofGtlRJG2/7STr6hVRK6ECtCoJbFQXKmwNgol9I5YOghgiCWxUFkTyhgYl+IZUKghoiCG5VFETyhAYm+oVUKghqiCC4VVEQyRMamOgXUqkgqCGC4FZFQSRPaGCiX0ilgqCGCIJbFQWRPKGBiX4hlQqCGiIIblUURPKEBib6hVQqCGqIILhVURDJExqY6BdSqSCoIYLgVkVBJE9oYKJfSKWCoIYIglsVBZE8oYGJfiGVCoIaIghuVRRE8oQGJvqFVCoIaogguFVREMkTGpjoF1KpIKghguBWRUEkT2hgol9IpYKghgiCWxUFkTyhgYl+IZUKghoiCG5VFETyhAYm+oVUKghqiCC4VVEQyRMamOi3SvpXBbbrJiRQxRxsqK01tgSsrYqo0LsFJqqGvpo/2LJ/Wb2ciN20SaLHvoqoyPhP/fuaRC/kWgtosGX+Zf7xvx5s9SbZw/SKqMjxl+NvLoPCXNNyLNhy/vmFzD8f+9i/l1NpMedHP/pRud0v/3J52ctfXg479NDJWeCrX/lKOf6P/kiSnI7X2We/vRx++OE6/q+l50Cvveaasvvuuw/1w7G+jsd/5Yrl1McSehRU7liT6tIi44qo2Jbzz5fPPLPcjN55dstrNpb13Db14xfC2LCE37l2Lj0Wynf9LdD/JnrU9qpH8uOfvKjWRghV2Ew/mO/EW0bWH9Dc+z16fPauT34SaVuz4Rdtn/3f8i/I/nEsayQWOP4cS4mWxWyw5fxH4Zw7e0xlo8WyIiq25fif6jHasv/Mf8nXzD/KhBx/N4r5p96xZhOhTYJ6hWSg0hzD/oWOPJwwuBay9oAWdIJE0vEUKqg8r+EcW23e4VoUuKDTsR1PoYLsnyLgo5Hxp5Snc0aNiQ+MyyiBCzod2/EUKqg8r2X8M/6Zfzn+6pzgJwY3o+T8wxFYMDguWo6nUEHlXfGzn5b99qGPDdA2N/9+6UtfKo9+9KMrhy+K3vOed5fDDvulpi8kXF8KFdSKXuv7X3HUirqrcWGNq/la277/L515Vjnw5JPLwdduLOu4q7DxH1Wb6zvX+IMGu+gHDQKp8Nc/r6bHP6+96OLgkNql7E3WtfROte+d8apyN/4yKG39/uf1Zw3LRLF9j39tfcEuFnS63+t4ChVUntfy+Of1T17/tNndDww3ogQu6HRsx1OoIMcfRcBHI+efnH/m5p9uYa1LHEokvrCZ3iTFfKJN88Tas6s+UdmbPB7bFu/CHKvVs6s+UdmbPLaWgMS7MAdcxNXYFZmqRG/yWAkKxLswR8ltQjB2RaYq0Zs8VoIC8S7MUXL2T6HwXzKrcZsInjd5bJEEEu/CHHAz//poVX0ieN7ksUUSSLwLc8DN+PfRqvpE8LzJY4skkHgX5oCb8e+jVfWJ4HmTxxZJIPEuzAH3xhX/Cy64oJxwwglt5zeX97/v/eVWt7nNdp//+Wul/A+cq9f4O9bkZ/RHq+oTB8+bPLYjCSRecL581pnlgJNPKQdvpMU1UJrka8hN9P8utzqk7Hkuv3PtaLkeaJWvpUW1q+hDBZvoTrVqaqtpaHtvitzapUvKZbSodte2qDZmVNdpp0pbaLHVNlXZ3uSxEhSId2GOkvP6h0KR1z+WLRWZqoniTR4rQYF4F+YoOfOPQpH5Z9lSkamaKN7ksRIUiHdhjpIz/ygUmX+WLRWZqoniTR4rQYF4F+Yo+XrPP11Ym/+BePGcYyhUYHtQ0ZydnfBBStWoiQ0evLuDU7NuSlbgKxCeszMNPkipGjWxwZP9y6MYGf/MvzomdLAo8AOG8JydafBBStWoiQ2eHH85/vxFiaaQAZ8whOezyXyREzXfXJ7/cvxdt/F3wQVfKCc89rGUarJC9Pd///flVvQ4pGzINMho9ZkHz9bGfwUtrPE5evXq86sc22IL+oUUVtR8za3P/y/Vx0KfVG6x8eqyru667H+9bGuxWEqLa3vVxbV7USdLCi+qbTjueLpT7RukCb/Vqj+CH/9cu3SXsvZVp5e7Pfkp8sP0xyoQu5ZzdibABymVoqYNVf7Wxt9qzbeW/SM2kBl/jkCMhmUSezL/rtv8u1A0zRcjHrWMv0Ug8y/HX46/6/r3By2sbaI5hS9l2qYzjAJ4BhkZGIB9O6wTsz3Yj9snrbHYip1hOrtVUBQZ2b9MAC08ITikZPxrmmf+URjccLcLjT5vQgLpmPMgMnL85fiTP41rjoTkyPkn51+adOi/nXb+pR++bv36cvlPflJ+esUVNIcuKXe44x3dlZPNf/WOtcfQHWttnv3A37+/HHLIrbf7/i+vXwXlhbVV3bR+/Y2/L9NjoQeccjItrtmdaxwGng74xMPHf5dDaHHtfe8tZbfdy/pjH0p3ql1cp4xQUKVlxP0BPf75g1fRnWpPlsc/PYfbbCEmZPGvnOAkJa9/tnv+zZ3/Nl59Vfna1y4s3197WVm6ZJdym9vcutzxjndohzIcKJe3nb2xvYiMPP5z8a9Bzfz/heV/xj/n3zz/0Jma/ttpr//8iWfyzBXPP3rHmjuj1WpGMzS0Hc9s6u7N0EX6UqsQAEts1qshz644VlF3b4Yu0pdahQBYYrNeDXl2xbGKunszdJG+1CoEwBKb9WrIsyuOVdTdm6GL9KVWIQCW2KxXQ55dcayi7t4MXaQvtQoBsMRmvRry7IpjFXX3ZugifalVCIAlNuvVkGdXHKuouzdDF+lLrUIALLFZr4Y8u+JYRd29GbpIX2oVAmCJzXo15NkVxyrq7s3QRfpSqxAAS2zWqyHPrjhWUXdvhi7Sl1qFAFhis14NeXbFsYq6ezN0kb7UKgTAEpv1asizK45V1N2boYv0pVYhAJbYrFdDnl1xrKLu3gxdpC+1CgGwxGa9GvLsimMVdfdm6CJ9qVUIgCU269WQZ1ccq6i7N0MX6UutQgAssVmvhjy74lhF3b0ZukhfahUCYInNejXk2RXHKuruzdBF+lKrEABLbNarIc+uOFZRd2+GLtKXWoUAWGJDr2ef/bZy1l//dVl/5Xrh8EoOUVeuXFne8Po3+JWdcjw9znglfe1z/YYN5Qdr+duVsu21bFk56MCb0eOQS+hrmZvLC1/84nLnOx/uFoWYN90/28MfzK3NKmKVspLuWGPTKvp4gS04WctC9+V8Y9arIc+e6h/+L9KdawfQBw14cW09/ZJN9Kv4K6H8OKh+LfTW9GjsrruUTd/8JqoFuRdpP6Q71X5Ad6rdle5U8/ujxG7/Ye/N0P2ew4Y6FiWx2F4bMm5DYyPV0Zuhi/SlbxEssVmvhjx7sqNGiC3Znvmee46xtm3/H/vYx8pLTzut/JAW1ZD/9znmvuW0l72sO6bxF9leG9oZ959/M/bsFxH/7D/jn/knp+kcfxwHHwU/oyJLxGazriHPrjhWUXdvhi7Sl1qFAFhis14NeXbFsYq6ezN0kb7UKgTAEpv1asizK45V1F3N/FVQrCKGJlwlga50vvqDqs7LkdR2uAIiQ/uXEu11AmT/FLYaPncJ7WIp0JXOl/GnYNR4ZP7l+Mv5J+dff4LhuYHmhXBO8n7Bef7J88/c+fc1r3lNedvZZ9cFMT4711MN5dTKe6yQhTW2tPPPiuX0KGbNNS54GYk2zj96P1j9p1qxlJe85CXlAQ94QNPENdd/bYKKcEFc+0P1sX/7eAH7qG/+OQts2yP/+bHQm9Q7166hx0Lj/oefT79LdN5DjjB9qICKtYR+dMYZ9U418bsyNEBK1bkPqswN6MY+MgSbOhVsj/2Xxm+8/W/atKm8+c1nlTPfdFbI/2W0yHwOfSH2tvTOQWwZf0rRmr55/a/3vLuxLNCVzlcHfdVrALuxTo4c/11MMOpM5vjL8ZfzD88k227+dXes2UCrKExebPGG9hO8Sau7n6d+Ba0Zp2u9DgwUb8j+awr4kGj4Mv46PDQ+CjL/aihcPDRvOjBQvCHHX44/ugT2KaHpk/NPzj/tzyPNDwU73fz73//93+XCCy8sq1adXz7wwX9oazSby4qVR5U3dnesfeITnyibN11bvv6Ni8ob/uqvZC2N/t476aQnltvfvj36RqG4853vVG5+0C10xEwCFzLxe8P0/MvvWOPlqfNXr5HfqVUUXK/x/+KbaHHtSXLnWv2gAS9w0U9pIu52M/I71X5Ad6r98JWvLEc8xT/+6faBGsn5d8edf/nlMi976Uvpa7j0uG89rnzQCdB/b3nzW8pd7/ZrdJTZscDmD3eleUMe/8z/HTf/8/x/wzn/2wyV84/N2Tn/bnH+lfvVOH0kcWL6tFB6Y3+Sqz6ry247ZVpFIMjaTCisDdRXrgJUcIYKReeSN9THPrENNSDZFjdrA/WVqwA1nKFC0bnkDfWtV0OuppC1tDZQX7kKQHaGCkXnkjfUt14NuZpC1tLaQH3lKgDZGSoUnUveUN96NeRqCllLawP1lasAZGeoUHQueUN969WQqylkLa0N1FeuApCdoULRueQN9a1XQ66mkLW0NlBfuQpAdoYKReeSN9S3Xg25mkLW0tpAfeUqANkZKhSdS95Q33o15GoKWUtrA/WVqwBkZ6hQdC55Q33r1ZCrKWQtrQ3UV64CkJ2hQtG55A31rVdDrqaQtbQ2UF+5CkB2hgpF55I31LdeDbmaQtbS2kB95SoA2RkqFJ1L3lDfejXkagpZS2sD9ZWrAGRnqFB0LnlDfevVkKspZC2tDdRXrgKQnaFC0bnkDfWtV0OuppC1tDZQX7kKQHaGCkXnkjfUt14NuZpC1tLaQH3lKgDZGSoUnUveUN96NeRqCllLawP1lasAZGeoUHQueUN969WQqylkLa0N1FduA3/4//5huZgWzfgW/5X3OEruWKs+q8vNfbF9FRT3YL2Zvph5tyPvXn+Xtqn9Algbc/2DaXtDFtc/fxWUtzX0KKhs1hsQZCM4IR7vV6wAdGeoUHQuecPv5x/3eXrn2r70frRbXHVV2Ug+q0ksXpnnO0rIyuVuVKzdZdfyk9NPL0dSHeUqIFLdnKFC0bnkjduSzXhAkGCYFI/3K1YAtjNUKDqXvN3Y+3/VK08v73jHOykO7Q8wignfv/nSU08t97v//V18OFrYLIaIn1jIryByq1Z9VpdtqO8roglItGTS2kB95SoA2xkqFJ1L3lA/+7c4AUFKpHwpHu9XrAB8Z6hQdC55y/hLHDL/LE+AIBEhk+LxfsUKwHaGCkXnkrfMP4nDjTn/6h1rmiYKWmBwjyip6lKA4IFL0jLKVfB+VG4yiok6ROB/6aINNQ20diGU0AyTOoxNRuE6QRtEyP5rMBC5jD+Fw+d5S5UhLhow5BLXg7HJKDL/EB6NKRly/NVoaGgUIEhN9vZJHcYmo8j8Q3gQ2jz/5fhz88+Jj3tc+fznPl/n//qOtTfQO9awudy54IIvlhMe85gWu83lrLPOKkcecSTpIMWBB+t4DiGP67+edpSMjpskO/8mXsqoj4L2vKrD2GQU2238f/1v/7bs9cSTy76X/7hc0/1sPpfyMNuNwJX77luueM2ry6/88R8LK8ffdTr+4boEhxrxrjqMTUaxTY7/O9/5jnL66a+Sg1pzlzuhuzbp+D/mhD8mxFkcO26amokgWx7/ne7449DhEEcdRzqPfx0HMQyZ/0gPJE2O/xz/1+H6Z0c4/yF17VFQl8RwskSuQ3ofsPkMwQdZPYPbGbJ/HUSIGUtECNL7gM1nCD7I6hnczpDxz/i3SQw5wxIZAul9wOYzBB9k9QxuZ8j8y/zL/MNwUYkRAqkOB8xnyLkrrJ7B7Qw5/rY4/viRztXnr6I5kd6xtpLesdYW1iyKgnhh7bEnPKbOnRz8s+hdU0fQwpquq+nBsZp1dennzP8VK5bXllfTo6D9Vnty3YnfGbbj8f/ZJz9RLn/osWXZZZeVa6njukDY/UD+qMGGAw8s+9Ei3D73va968Qsh1eGA+Qw5d4XVM7idYTvuP/+AG0P/55//WXrs+STaW3kUjPeZtwf9/oPK8573Z/SeQjry4eBn/DUgmX8UipAcNXeQIZDV2BXmM9RRbhTjz67W+72/ccw/uf+Z/zqfdkOgRmYIjzNs4/nXFtb8D3H9VXOvK3d0jBYlGyDSZrrKbE9imx2ob6TXwZPpUjUGs1TPyv4z/pl/Of7iVb7NEP0k0uvKHB2jRckGiJTzX87/ef4b/5Cqg6QfRL2uI2l0jBYlGyDSYsbfE2lhbdVnV9G1Gz0KuvIetLD2V9Rm3AfuH4+CVhcZ6h1rR9Ida9gW2T+qm+TerP+VK1bSI3eb3aOgxgxoO/XPfcRfVMq1//EfZcOjH102XHQRPudQfwo/AbqUCr7Drm5VL2XP2x5a9qQ7/HZ5wP3FzmXfqHpGx2hRsgEiLeb4WwNAY2+jBVwnd/L+r7766vI5unPzggs+X37vQQ8qh9zykLKWvoL7sGMfVn627krLSDqmd7vr3eoC9O67724B2Mn3P+yI7W013xiOf+4/IjAe7dECrpOZ/zn/5t+fNHPatYsbHeP5fnZQjY7REloW5XoYf3FhrXboLtVmVvH0p7q9EOgMTIJaJRdsonA2O9zVIU4acNm/plvGn5JBo6FposAlkEBnaPlUx241c5H5l+Mv55+cf2kioGmlmy2qIc8/ef7VM053/j355JPLZ+muHE6co+ixy9e7jxdILkl5wRcvKI95zAn1OodPX2fSe8aOvPsR2/38s3L5cjpdLimr8I41JHiVXFy/57+N//6xcsXxx5VrL7mk9l3HHP0MuaCmJTWKTZ2LyMs2XmTjX7nrQQeVfd/+9rI7vY8rz/+ajRJDX9bjKgaBzsBmqFVy8fMf//+68L/K4x77uLJ+3bp6k+UDf+eB5fnP/8vyhCc+oXyO8o7zj48rD51b3Pwg+gLoOeWAmx6gBzqvP/L6I68/aCDyGBHBw1I2MuT1Rw1NiwcFJP/+Q3aM0iWQQGdgNtQquWBTzj/Xx/wjC2s4ADX0UkST0xx09MVBtAXpWokmpzno6IuDaAvStRJNTnPQ0RcH0RakayWanOagoy8Ooi1I10o0Oc1BR18cRFuQrpVocpqDjr44iLYgXSvR5DQHHX1xEG1BulaiyWkOOvriINqCdK1Ek9McdPTFQbQF6VqJJqc56OiLg2gL0rUSTU5z0NEXB9EWpGslmpzmoKMvDqItSNdKNDnNQUdfHERbkK6VaHKag46+OIi2IF0r0eQ0Bx19cRBtQbpWoslpDjr64iDagnStRJPTHHT0xUG0BelaiSanOejoi4NoC9K1Ek2inXTKyeX8T9PCGv1RtPKolfLxAlcH8IL28QL5E2FzOZPuwLq7v2MNRHQCCTvJaHKag45e4Ur6eAG76zvWeueUjrYgHSeanOagow9w48c+Vn5y3PG0qPad+pv4UU++qJc9K2WPhq6uNcnOV7vcdtuW0uLa/ry49oAHkMV16iC4i5ZoC9I1FE1Oc9DRFwfRFqRrJZqc5qCjLw6iLUjXSjSZ9ta3vLX81ev5Tk3bHvKQh5TzzjvPHV3xnXvuO8qd7nRHI/YIzUI6fzQ5zUFHXxxEW5CulWhymoOOvjiItiBdK9HkNAcdfXEQbUG6VqLJaQ46+uIg2oJ0rUST0xx09MVBtAXpWokmpzno6IuDaAvStRJNTnPQ0RcH0RakayWanOagoy8Ooi1I10o0Oc1BR18cRFuQrpVocpqDjr44iLYgXSvR5DQHHX1xEG1BulaiyWkOOvriINqCdK1Ek9McdPTFQbQF6VqJJqc56OgDjHesqXui9oSp0qvdORUq0Msis4RLJe3VgGc264Qp+6cI1Li44ChUkPGnMOGSniVvFh3RYznhnTDVOtXunAoVaF9myf59LGLsWZvwTpgy/giVC45CBRpNs0xGuIZTCs9s5glT9VS7cypUkP1ToHL+iTln2dHyK4gJ74Tp+s6/k085pXz2s5+px3JFfcfaG9tOuR9H8IIv8jvWHk15L2ebM888s9z97nfXccC/29UIey7KhHfCVLnVLs4VvLBGcM0a/iqoVQCC5Hoe13ZCMeGdMNUq1e6cBK/+D7pT7bhHlo2XXErv1bK+wOJFtct225V+w5Jy8MaNZUPrm6OFccLcXfziGio3ropqd06FCnRfzWK/SdsJwDObY8JUPdXunAoV3KD6/+AHP1he8Jd/SfvU9o9usVmyhB9Allzn/GP4speeWu57P3mcF5GA5Lh5XOMYignvhKlWqXbnVKhA+zJL9u9jEUJvQY3muQrV7pwKFWT8KZKY12SUZP5ZdsQ0E23CO2Gq3Gp3ToUKMv8y/6738UcLa5vo6/F8cpxN6QUT09JX6o+lZ3gMJp2is/+Mf+ZfHRDTI2T+xDzFx8gS6Rkeg5XjL+efnP/z/DfOFjZD5PzDp6eT6FHQ8z9Ld6zRtoIeBX0jfbxgakblO9Yec8IJ9WXtm+nNYmed9eZyZL1jbYq97eZfXljjLd6x5vv0uFKp2Hb9c4tX051qlx93XLmGHv/chS5nqXV0VJNoGalrd9utbHjLX5ele+xZlj7qj8ot12+oi2vM3EwDkS5Ktc4uB92i7Ed3ru1B71xja/+HqbdppQA8w2OQtu3+o1WTvk+Pwdi5+v8SLRo/hr54iz0RyUdlE/0vR+cRj3hEefrTn952EExWPW5usuX5N8+/ef6V8TA9QvL8yzOLjw0wJGaTUXqGx2Dm/JPz77aff90day3pqvAJ6O2cjN6H5Nx6qbUJhOfJ0W4lKMv6U5OCre/UMbU2gewfl0IcoBaZKjRKnd3xGC5i05YJZPwz/vhDKfOvjYwqdJTQCPN2HnDed90HoNYmkOMvx1+OP4whP850lNh4I9MT6YuHq1Z9lpYP6Kug9Chofccaqjv5hS98vjyW3kNV1xmoHn8V9Ej6Kihv2jKBbT3+ZGFtCS2s0QcWZrbt2b8sqsnjn7V7/9cQ7ewy2vvLeFHtda8rd33ciXX/v0Lv4NqV8C3Xry/rqBL/Pt1acvKdazd5Gz0W+r+7x0KVuPVge+7/1vyKnb3/a6+9phxzn2PKuvXyjjXe53qY24792q/dld4p+KayGx3nqW1n3383gqd2b4u23P92zqVAbOv5b4vBJ0LGP+NfTyuZfzn+KBHaJYbNDHWC0Fmis/MM432sT29uYS0Shupk8BMh/6Ni/FcGVwOwSloRpp9vO8D9gBD79NrAIEP2b4mQ8c/8y/EnM4bMFW7GAKwy55+cf/P8k+ffBa8uvLNiTCHqIMMTTj6prF51fr18WbHiqPLGN77eca3GFz7/hfLYE2lhbRPZ6N1hb6KPFyynR0FtM67ZIhoYZNjS9c8K+ioob6tX0aOgfMBrI9fP/HfNf/x7+fEjeVHtErnW45NTu/OMf8be9D8vqq2jRbUjODbuivDL55xTdjnxxHJIW1xjn/xqotHG90LtRi/C348W4fbkDxrQltc/FKU2qCVXpJTgULkdj/+pp55a3vMeeqdafQu0pNlSwnznwwc+8IH6ldDt2X8e/8z/HP+/uPGf4y/HX46/hcefLqwNl18+cvVsHYuBH9w4yUM2J1RIt8A2tJf925ELsRVliFfgIMCQGf8aAYQDMvOPwiJX50M+5fjL8Ye/3MLcIsqQL4GDAQbZnFAhc/xRYHL8cXYM+bQDzj+Pf/zj6f1la2oy8zvW3vgGesfaxPa5z60pJ574BPLI43FvetObynL6Yqem+3bKf3sUlO9Y05UV+4XoF1J/0M8X/6va45/69c/aI/ovdKdaKT/gRbXXvq7c7fEnWhxc/1865+1l1xMfX+9cW09VeU2yvp+NcE0FaoM/aHDT+ljoA8Z8sb0khB2EbE6okMr7+fY/dF0VdAB5w+r/a1/7WnkkvUNvKZ0f+Nhge9aznlWOPfZYUrHfkI0BFVJ5Gf+dYf7DcWY5/F7v1OOqB1q8UCGVN9HeDjj/+13M/R//udbigwMM2TxQIfP4U2D4PJn5P4ynnXz8L+FXrLVjWw+wHGQcbjrg7G5/YOl4UKaBwdcZOrVWrLYJhzdl/xn/zD9MvjYubeQJ8mPGBpexBj+5qm3C4U05/nL85fjL8ccziZ8XbGYRNPg6Q6fWStU24fCmX/T8c+mll5Yrf/az8sMf/ag881nPLuvXXVk/YLnX3svK6ae/otzkJjctt7jFLcpuu+9eLv3Od8r6DRvKP/3zP5V3vfNdZQmtDPH14YMf/JDy2w/87bLP3nuXXXfdtdzudrfbLvt/lP8qqA8i9dap26z/q/79Y+V/jpd3qvFCWN14uFCHfNm4F8m1u+1ernzda8uRdFea3+pvcj9M7lx7XDmY3rm2nolUn+OHBbZNdEfUrgfdvBygXwu11lwzYuwMnVo51Tbh8KZfdP7tqP3/+Z//efnHf/ywLqw9nN+r9tSnUs63LPBBpGh3asYfMZkIjDftqMe/HkBX+N9sB9cIg59c1Tbh8Kbc/7z+zOvPvP7kmcTPCzazCBp8naFTa6Vqm3B402LnH71jbfrnhS6IIgdYuFR6d2cUF5X++QVw+Gpp8m6IvkGve9wamjDhR4mLyux/OGz1aijjj2x0sk8or3uc+VcjMBGSHH8SFC1z/sn5pztt5vxLo2MnOf889alPK5/45CdoWpMRLQ8V87+v0iam8tznPrfc6U53Ko/6o0fRPWqb6CqJH2XktKeSxn9dYKt88axaRXeUbYf9X0mPgnL/a1avCf33l23bKv+u/ocPlSse99hy1fe/X7vgvcP3IXn/+fHPtbvuVta/nu5Uo/eo6bbA9d+Xzzm33rl2ML3Di9+5VjceP9xg3ZaU3Q+8WdnvTW8suz/4oePcYnuu8d9e+9+6wg9rUo/8Db7/H//ox+Xyn1xeDjnkkLLnnnve6Pb/xn78c/8p5ftze84/NSg6C+b175gjC5z/IlmiKBOrx2GqbQqERv4Gf/7ZkeefurDmV+XsCqbNGPU42cHiw4e5xKzRgkOskokchcmLSfJQomFVOvuvwaJ4Zfxr/tQkq0UdR2yL2Sa+yp0eaS2liJf5J2Hqyhx/Of/k/OtnFR4gOf/WaeJGPv8+7SlPLR//1MfLsr32KXvsuUe946yeRiguG+lF7lfTe8Ge+7w/K3e4wx3LHz7soWXZsr3LHnvtWXbdZdeaQTSzlGs2biwbNtDL+Yl70C0OKh/+0IfDDLyt5t+VK5bTGZA/XkDvWPMbH8PtcP31uWc/qxz40tPqAtpV1AOPmNoVAf76Jz/+eeXr/qoc8Th+pxoZtvL8+2V6l9ou/Fjoug20uMb1uLq8d20PghtI//4pTyrLX/MacnGPTODNY1rMm3IAAEAASURBVLGo+Tr0LzVbm7VJaZdL3mJvvk+PhVvLWpGKrdx/qZn9a+zqu9zkSLMt4y8ZItnmc85j4dSSzZn/Of5y/nGDwuC2Ov/m+SfnH5yd5I61Gg8JikLOO5zBLAdnEdfjrVYJith9Obi103aZNBB87WkcqgRl5A9uNriTd3sna+5/Hv8xeWYsIaeCMlYY3Jl/Of5y/uFJWP40HgbIOIZ6S6gSlJ4plz9s1ektx1+OvxvA+ON3rHFO148XhARnxbZheCwy/zfSYuGqZz67HEYLXHvQyOXHN/lBwGX0K9bSI69X0p1qR/o71dpP2Jr+62Oh9D42/lrolbRTS2hhjfu4mtq4mD5+sPz0V5U99uF74mQLbQYFDJODmw03gOPPe1jntGEHbd8ZDe7c/zz+mf919OhQ4IGiFwisLLyFMRWUsd7g1k7z+kdDwWHL+I/JM2MJORWUscLg1qBn/mkoOGw/R/4toVes8c2abqtNN90dgmb2XiaJPuNEq+TeTBM3PyogG1oZXlmnLRqPEdWb6ULMM05ppNbN/jP+mX85/mxe4Vjk/ONnhRgb1nhe5S3n3zz/hDSoWcFFnn95dOwY1x8rlq+oQ3XqjrXtdf2zadOm8umnPZUW115b9pIUkQ8V1K9/tsc/KTyL6f/L9EED/lroLemda9dS27yo9g36gMQ9X/vaspTuhuMt82/HyT8Mg3pgfLHI45/nH85u3vL8i9yS8S5R4TLHf47/HeX8ixy17Gwo579Fnf935vmf7lir34SXnOhnLcsLntoXvYVmWeFNGxRvLQNRaFzOmI2wBRTqs8Jb9i9x8KemEKjmJjFjNsIWUKif8ZdoZf61rJHsqGVIFEuqGbMRtoBCfVZ4y/hLHHL812SoORISpYWHxIzZCFtAoT4rvGX+SRwy/2oy1BwJidLCQ2LGbISG5hbWQn1WeNuG+beZFtc+87SnldvRnWs/paZ/Rl9BPcJ9qODn6f/L59I71x796HIgPU57Id3Bdg/6sugubVGt7sdWFD9P/9x8qL8V/fWUUJ8V3rZh/KXB+TL778Kd8e8C4u5U0by0fAr5Y+atRqF+5r/ETeMs0allCJSFd8ZshC2gUJ8V3rJ/iUNef9RkqDkSEqWFh8SM2QhbQKE+K7zdwPPPPl4Q9l72XUu8bI84U+8iVN4EsGan7g5xFYzojA1m/5SIlIkZ/8w/SgOdk8aRMlhsWOX4G+/OcuGyQDljgzn/5PyT82+ef3bw8y8/Csqbv2PNprXtO//zv89+6k+eVva87aFlOS2yYdsW/X/h9a8vV37lK+XXX/mqsnT33fL8h+BuhdwW8dePXezg+T8Vjtx/XC9u3/E/FXu2Zfwz/vL3SuZf/v1hz4wN84VNFINrZzz/TDwK2var/jHJePrP+IXiUGdThGeyeqtNYnahLvtvoZ8MoDthIdBOcnixTVbP+NfgZv7l+KPxMT1EKDmqY9Kb44/ml+nIkCPnH8y+M0HK+bcGJuffbTr/6h1rq9zHCyYHaeZf5h8lRo6/bTr+dNLn4YUtxx8i4WTOPzn/5PyT8+8Nd/1HHwWts16b79wM2P0BaRNi/atqgi91xQE3pLYbDE5xENxoahqMkCCrFAfckJ27qc7rILjR1DQYIUFWKQ64ITt3U53XQXCjqWkwQoKsUhxwQ3bupjqvg+BGU9NghARZpTjghuzcTXVeB8GNpqbBCAmySnHADdm5m+q8DoIbTU2DERJkleKAG7JzN9V5HQQ3mpoGIyTIKsUBN2TnbqrzOghuNDUNRkiQVYoDbsjO3VTndRDcaGoajJAgqxQH3JCdu6nO6yC40dQ0GCFBVikOuCE7d1Od10Fwo6lpMEKCrFIccEN27qY6r4PgRlPTYIQEWaU44Ibs3E11XgfBjaamwQgJskpxwA3ZuZvqvA6CG01NgxESZJXigBuyczfVeR0EN5qaBiMkyCrFATdk526q8zoIbjQ1DUZIkFWKA27Izt1U53UQ3GhqGoyQIKsUB9yQnbupzusguNHUNBghQVYpDrghO3dTnddBcKOpaTBCNrLdsbaKLPrmme4ajlyhnlMcXEz/qIMO0Byk+oPBKQ6CG01NgxESZJXigBuyczfVeR0EN5qaBiMkyCrFATdk526q8zoIbjQ1DUZIkFWKA27Izt1U53UQ3GhqGoyQIKsUB9yQnbupzusguNHUNBghQVYpDrghO3dTnddBcKOpaTBCgqxSHHBDdu6mOq+D4EZT02CEBFmlOOCG7NxNdV4HwY2mpsEICbJKccAN2bmb6rwOghtNTYMREmSV4oAbsnM31XkdBDeamgYjJMgqxQE3ZOduqvM6CG40NQ1GSJBVigNuyM7dVOd1ENxoahqMkCCrFAfckJ27qc7rILjR1DQYIUFWKQ64ITt3U53XQXCjqWkwQoKsUhxwQ3bupjqvg+BGU9NghARZpTjghuzcTXVeB8GNpqbBCAmySnHADdm5m+q8DoIbTU2DERJkleKAG7JzN9V5HQQ3mpoGIyTIKuneRP14AUiQShqBUOaJo6e3mK4IAHLsVi1CmSeOnt5iuiIASO1tBEKZJ46e3mK6IgDIsVu1CGWeOHp6i+mKACC1txEIZZ44enqL6YoAIMdu1SKUeeLo6S2mKwKA1N5GIJR54ujpLaYrAoAcu1WLUOaJo6e3mK4IAFJ7G4FQ5omjp7eYrggAcuxWLUKZJ46e3mK6IgBI7W0EQpknjp7eYroiAMixW7UIZZ44enqL6YoAILW3EQhlnjh6eovpigAgx27VIpR54ujpLaYrAoDU3kYglHni6OktpisCgBy7VYtQ5omjp7eYrggAUnsbgVDmiaOnt5iuCABy7FYtQpknjp7eYroiAEjtbQRCmSeOnt5iuiIAyLFbtQhlJGJhbdXq1d3dpD3XdEUAkNrbCIQyTxw9vcV0RQCQY7dqEco8cfT0FtMVAUBqbyMQyjxx9PQW0xUBQI7dqkUo88TR01tMVwQAqb2NQCjzxNHTW0xXBAA5dqsWocwTR09vMV0RAKT2NgKhzBNHT28xXREA5NitWoQyTxw9vcV0RQCQ2tsIhDJPHD29xXRFAJBjt2oRyjxx9PQW0xUBQGpvIxDKPHH09BbTFQFAjt2qRSjzxNHTW0xXBACpvY1AKPPE0dNbTFcEADl2qxahzBNHT28xXREApPY2AqHME0dPbzFdEQDk2K1ahDJPHD29xXRFAJDa2wiEMk8cPb3FdEUAkGO3ahHKPHH09BbTFQFAam8jEMo8sXroo6As3YYKMPO9zITxzCbcYnUXcHBAuiYdVG8Fqk0w2Mdb9p/xp1zI/NOhgEEXRw80SBk9faneClRzNNhY8pbjL8cf5UKOPx0KOf5kZsBMEbVoFZ+V6q1ANSPo7VTs4y3nn62df1asWEnx2kzvWFtTIzdVaMQz/pRaGg0XKthY8pb5t7X5p7HCBCkBDCWiK8NcNceBLeMvQcn8y/yjsZDXX8P0gplCxgk0SDelOKjeClSbYLCPtxx/Of4oF67j+FtCL52l+9amEkzSCuU0A1ZIsEXymt0SfukznUXDi/uIjt85f4Lt2iKVW4ob+oXsvNl/xj/zjwZFjr+cf9yLQ3P+zfMPnUzr+bSeOqfPn/5sOs2AFdLXoFknz7/X6/mXF9b4AVC+Y423jH9ef+b1d/79kdd/ef2b1795/avrJ3S5lusv2/f6t34VNFwWq6IgXi1PaGDSdbR8vLJJpYKghgiCWxUFkTyhgZn9Z/zrx/soIep6GnIFCQK9k8GtioKOPapgZv5l/mX+8R/0Of5y/nHzJCZIZ/IwuFVR4KmTGEzkHaSSQVBDBMGtioJIntDARL+QSgVBDREEtyoKInlCA3P5crpjbcmmsnrVmjz/6V8RFDAEaCJ2bApuVRTM1DIzmDjukMoAQQ0RBLcqCiJ5QgMT/UIqFQQ1RBDcqiiI5AkNTPQLqVQQ1BBBcKuiIJInNDDRL6RSQVBDBMGtioJIntDARL+QSgVBDREEtyoKInlCAxP9QioVBDVEENyqKIjkCQ1M9AupVBDUEEFwq6Igkic0MNEvpFJBUEMEwa2Kgkie0MBEv5BKBUENEQS3KgoieUIDE/1CKhUENUQQ3KooiOQJDUz0C6lUENQQQXCroiCSJzQw0S+kUkFQQwTBrYqCSJ7QwES/kEoFQQ0RBLcqCiJ5QgMT/UIqFQQ1RBDcqiiI5AkNTPQLqVQQ1BBBcKuiIJInNDDRL6RSQVBDBMGtioJIntDARL9V0r9qsl03IYEq5mBDba2xJWBtVUSFrpZOVA19NX+wZf/dX60TQQwmiR6bKqIi408hDDEyJeRaMwdb5l/mX1g1sdyZRpI97KuIihx/Of5y/llotNiY0XGD5Y+cf2fn35UrllOUltCjoO6roIhbzj85/1IO8MMpef7J80+ef/L8MxUBOfPm+dfPECEmef0xe/0xlU/tr57qqnGk4sZw/ql3rFlA3IBSqMCC0yogxyoj0qzJoVbnCqprRKGCoaXsX3K8RiiGKUTVJ3fn6FTXiEIFGX+KgI9G5l/mX71DjfJi4afpfdZ0Qy6ojqdQQWV6LfMv8y/zr83JfmCEMcXKgk7HdjyFCirPazva+Ftx1Iq6q3Fh7caz/7P/WnYjOf65/24oB+hHbXB0iuMpVFC5XtvRxn8e/+5wquqPmhongOMpVFD5Xsvjn9dfef2V1191TvATA80U3cJavATtuN1EJN6FOValZ1d9orI3eWwtAYl3YQ642C9jV2SqEr3JYyUoEO/CHCW3SztjV2SqEr3JYyUoEO/CHCVn/xQKfv8Ml7xVZGq1qb1pE27ljRnlXBNQ2rIWKzJVa3iTx0pQIN6FOUrO40+hyONv2VKRqZoo3uSxEhSId2GOkjP/KBSZf5YtFZmqieJNHitBgXgX5ij5RpF/y1esqAv8q9f4O9YkBn20qj4RPG/y2CIJJN6FOeCOZ8tab6KyN3lsLQGJd2EOuNl/H62qTwTPmzy2SAKJd2EOuBn/PlpVnwieN3lskQQS78IccDP+fbSqPhE8b/LYIgkk3oU54Gb8+2hVfSJ43uSxRRJIvAtzwM3499Gq+kTwvMljiySQeBfmgHvji78urM0HCC9+dAyFCiyCFc3Z2QkfpFSNmtjgkRcvOoZCBb4C4Tk70+CDlKpRExs82T+/+NFFSKECHzDCc3amwQcpVaMmNngy/hn/zD83QhQq8AOG8JydafBBStWoiQ2eHH85/nL8uRGiUIEfMITn7EyDD1KqRk1s8Gzt+FtBC2u8fLt69flV+lYMoydI8UTN2Px7t7Z/qzXf2vbc/+wfEcj44x9QERGTiA2keKJm7Mz/HP85/+X1T17/uBlSoQI/YRKeszMNPkipGjWxwbMzjj9aWNtE++SeuNc9VOD3MuDIwATcKMFJSnuwFrfPWkOBaHHXA2DMHsWa2b8kYMa/RiAkR+Zfjj+a4+i/nH8oDG66dxOuTBw6bhT0067qkZHzb86/fAHetpAcpOT5f7vPP8vrV0F5YW1VN6wz/pl/ef7L839e/+T1X17/5fUvLtJYhgs1p3Z2X6XhyMjrf3/9r3esuYjWsFmYDA2xjZFVd2+GLtKXWoUAWGKzXg15dsWxirp7M3SRvtQqBMASm/VqyLMrjlXU3Zuhi/SlViEAltisV0OeXXGsou7eDF2kL7UKAbDEZr0a8uyKYxV192boIn2pVQiAJTbr1ZBnVxyrqLs3QxfpS61CACyxWa+GPLviWEXdvRm6SF9qFQJgic16NeTZFccq6v6/7L0JwGVFcQbaM6DAaFwwaqIBgbhEEPVlZnDfiBiXKCpKRAcVEJVRBIKSxF1QQRY1kX2XzYXFiJEk7yVxwQWYGRcUFYhR0bghiyCLLPO/6q7+qr/qc+7PcJkZmZk6StdXVV913Vu3us/5z9ylN0NXyaOFCABLbS1rQ8wu2IeYuzdDV8mjhQgAS20ta0PMLtiHmLs3Q1fJo4UIAEttLWtDzC7Yh5i7N0NXyaOFCABLbS1rQ8wu2IeYuzdDV8mjhQgAS20ta0PMLtiHmLs3Q1fJo4UIAEttLWtDzC7Yh5i7N0NXyaOFCABLbS1rQ8wu2IeYuzdDV8mjhQgAS20ta0PMLtiHmLs3Q1fJo4UIAEttLWtDzC7Yh5i7N0NXyaOFCABLbS1rQ8wu2IeYuzdDV8mjhQgAS20ta0PMLtiHmLs3Q1fJo4UIAEttLWtDzC7Yh6SF8o61bFoiP15gNzhFB00ljzwjWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNzFnH8VFHfx3RQUpJBG8pUHVHS5lHP2nEcMs/0ERH0okV//FSHqT/d8qZcU0ki+6D8pRqlHrL/Yf2RD5b+oY/+N80+cf7s1US86SKwt1x8L5stHQWX9tx8vyOcGMbg9gZ54hWvL84/9X15Q91rH6x/9H+vfr4nY//oKxP4v26Ysk/j7O/7+ts9clL+pdaUopJF85Y/vopcGsvMvvWOtW24uOPvYUFuQTRZO7Wl+A3Ua0i2uAwMKGyJ/WQJcEitf1N+2B6uPgei/Ugqqh/VNBwYUNsT6i/UnpyBuCWuf2H9i/6mXJ9YfBmL/LaWgeti66cCAwobx/Td/x1r+LpiLli7TvyUtxEDUv5SC6tGV3dQBhQ3j9dfY2P9i/4v9r9zftSVjIPafUgqqh204HRhQ2BD7T1x/x/X33frvD32/Wl7UunD98q034NhY1j8ZClQ9j/kom2pBjQcEWdxuUA/7DRtAABkKVD2P+Yj8Wge8pllDxSDBaLLVEPUzrgGwyVCg6nnMB+Jb1oYoUsk2tjkQb1wDIJOhQNXzmA/Et6wNUaSSbWxzIN64BkAmQ4Gq5zEfiG9ZG6JIJdvY5kC8cQ2ATIYCVc9jPhDfsjZEkUq2sc2BeOMaAJkMBaqex3wgvmVtiCKVbGObA/HGNQAyGQpUPY/5QHzL2hBFKtnGNgfijWsAZDIUqHoe84H4lrUhilSyjW0OxBvXAMhkKFD1POYD8S1rQxSpZBvbHIg3rgGQyVCg6nnMB+Jb1oYoUsk2tjkQb1wDIJOhQNXzmA/Et6wNUaSSbWxzIN64BkAmQ4Gq5zEfiG9ZG6JIJdvY5kC8cQ2ATIYCVc9jPhDfsjZEkUq2sc2BeOMaAJkMBaqex3wgvmVtiCKVbGObA/HGNQAyGQpUPY/5QHzL2hBFKtnGNgfijWsAZDIUqHoe84H4lrUhilSyjW0OxBvXAMhkKFD1/Kug+VgmHwXVo/GAICuBhHrYb9gA6GQoUPU85gOPvz3rhihSyTa2ORBvXAMgk6FA1fOYD8S3rA1RpJJtbHMg3rgGQCZDgarnMR+Ib1kbokgl29jmQLxxDYBMhgJVz2M+EN+yNkSRSraxzYF44xoAmQwFqp7HfCC+ZW2IIpVsY5sD8cY1ADIZClQ9j/lAfMvaEEUq2cY2B+KNawBkMhSoeh7zgfiWtSGKVLKNbQ7EG9cAyGQoUPU85gPxLWtDFKlkG9sciDeuAZDJUKDqecwH4lvWhihSyTa2ORBvXAMgk6FA1fOYD8S3rA1RpJJtbHMg3rgGQCZDgarnMR+Ib1kbokgl29jmQLxxDYBMhgJVz2M+EN+yNkSRSraxzYF44xoAmQwFqp7HfCC+ZW2IIpVsY5sD8cY1ADIZClQ9j/lAfMvaEEUq2cY2B+KNawBkMhSoeh7zgfiWtSGKVLKNbQ7EG9cAyGQoUPU85gPxLWtDFKlkG9sciDeuAZDJUKDqecwH4lvWhihSyTa2ORBvXAMgk6FA1fOYD8S3rA1RpJJtbHMg3rgGQCZDgarnMR85vrxjzWgGil8ejRjqN/2Zy0DlQPT2UR3GKr1oz97mFELkL9VA5ewOGWoEaYRqGNVhrNKLqD/KYzUVQ/RfqYaVxgCKNFu/EafEIbhKL6L/UB6ULfbfWH+x/5TVYEvDABZJlb19VIexSi/W+P1n4cKFcnkwox8FxVNFmYoOo3/isA6uLWL/if0n9p/Yf6QCE/cIt79A4YBqKxNgliq9oCSIEUL0XykGKtdeiFojCCOgdiJxhyCbih+kKr2I+qM8tYRx/0MKEuuvdIO1hgE0SZWdvX0UlC6iOAR8SPYBN19D8EEWz8BNhshvTYyaZYkKQbIPuPkagg+yeAZuMkT9o/51E0XPZIkOgWQfcPM1BB9k8QzcZIj+i/6L/sNyMYkVAmkOAs3XELkLLJ6Bmwyx/tb49bdgwfzyWi+Vj4L2R7z+8vJSu2t9yBD9v8b3f7ta6bu/eujljtc/V4AKEv0f/R/XX4ONAysEckBwq2gyq3gGbjLE+lur1l+7scYdQ693Mfe6cYeOocXIDQhpRq5y6jcRNDtQP0mvg8cnhmqbSLUYAZE/6h/9F+vP/ZMebRD9JtLrRh06hhYjNyCk2P9i/4/zH/+Telseg9P6xEU1dAwtNC/gWrr+Fi5YmJZL8dpHQfGEO7mWPv/8LNfl1z+ef7z+0f/y93m33Q3U2P/i+jP+/ou//ybtFP0m2uu2oQwdsPgba2J1PyI14S7q2Lw6IaatDKhF5iGf+NqX7sFd2eWsGPnpxBD1H72Lzf2CtaG91HUU1CLzEP0X6y/2H7xzA8uD11Psv7H/2h8mcf5Zo84/C+fPl09uzElL8B1rWOBx/pPXMc7/cf0T139x/RfXf3H9JzuhXOTg9BjXv7UCUpC4/l851/96Y23QYX3TEYGgNeS0AHNB0jzeRBpBok8HMRckzeJNpBEk+nQQc0HSLN5EGkGiTwcxFyTN4k2kEST6dBBzQdIs3kQaQaJPBzEXJM3iTaQRJPp0EHNB0izeRBpBok8HMRckzeJNpBEk+nQQc0HSLN5EGkGiTwcxFyTN4k2kEST6dBBzQdIs3kQaQaJPBzEXJM3iTaQRJPp0EHNB0izeRBpBok8HMRckzeJNpBEk+nQQc0HSLN5EGkGiTwcxFyTN4k2kEST6dBBzQdIs3kQaQaJPBzEXJM3iTaQRJPp0EHNB0izeRBpBohe4UH68ILuX4sZaT+h1zAVJfm8ijSDRp4OYC5Jm8SbSCBJ9Ooi5IGkWbyKNINGng5gLkmbxJtIIEn06iLkgaRZvIo0g0aeDmAuSZvEm0ggSfTqIuSBpFm8ijSDRp4OYC5Jm8SbSCBJ9Ooi5IGkWbyKNINGng5gLkmbxJtIIEn06iLkgaRZvIo0g0aeDmAuSZvEm0ggSfTqIuSBpFm8ijSDRp4OYC5Jm8SbSCBJ9Ooi5IGkWbyKNINGng5gLkmbxJtIIEn06iLkgaRZvIo0g0aeDmAuSZvEm0ggSfTqIuSBpFm8ijSDRB9C/Y83cI9EjpkIvdnIaNGB3hpulv3FniStg5mRT5JcKlFJRvQwaiPpLmfK7MFpFPC595AZmVseIqXiKnZwGDVjeZon8XAtX+lZUb54UUOzkNGgg6i+VjP73a651h28z1Ua8I6bCLXZyGjQQ/Rf9t1rW34J8Y03abtmy/Kug0X/4t2dUAjKvW8ZZ98eId8RUYoqdnAYNWK5mifxcC1/7rI14R0xRf5SKimPQgFWzWUYrXMqpAzOrecRUPMVOToMGIr8UKq6/fM+17qj95cSId8QU/ScVKHWh4hg0EOtPyrS615/cWFs+MyPv/8P3FraXo3U6bJDZAwzZ2D1iBmPw5HesIn/UP3e+HOMdMnlhjPF1JozMYNz80X+x/mP/0/UwvkJi/U06MY/VCzvLsKJj7Dj/xf67cvbffGMtH/4da9xzjLU78xk36r9y6o+Kesk1ZwxW1D/6L/ovrr90PxjfIeL6K66//N/G6BNInE2GkhmMwYzzz6o4/9A71mrRi+AXgO35xWAfXpwVlxYtwH2eF/MWgrFaPjMZWPGkxLRoAZFfN2wtT61MEValqL/ry1wpro1W7s6MFi0g+i/6r95Pbn1VGsS6pLPnTmNf1u/cYdECov+i/9aF/rvyN1em//vpz9N6689Nj/qLv0j3vMc9yjJa2/pfb6zNkRtrSyZuCrH+65qP/S/2f9n81oX9jzeDWP+x/kvPx/4X+1/sf6ts/6cba7z9jvz51i1E/l5j3axty27BxSR3ROXhtxNYzkNcn9a0AUMMfCEc+eUEUYuqtaKKARYZ9Y/+i/UX+49trbH/xvlHesCvCO6OjHEKMbsY1rTz7yXfvSQdetgh6eLvfNee7bx589Lur39d2nnRq+2pjYE18fkvkF8FzcfSJfJR0Pzyxvlf6hDXP3H9E9c/frcf7G5l3+BhwBDDmrb/x/4nr2jsf9IGsf5j/c+6u7Gz4Lu6/9mNtcHlB9+5GqTN12zDdm00PCzI6oEKqTtffSLdfJFfNkW/HFp9o/7Rf9164eawdWULTb1QIY030k+x/mL9xf7jVhUrsf/cffef6677bfrIR/4pfe5zn5WXTM+hD9h443T1VVenmbliWp7S4Uccnp74xCeYf/B6roH7X/soaH7HWn7ettELJtXMBoTZvZ5r4PPXJzn6RNWFpwtJ9YnnH6+/+/M7+j+uf+L6p22pHRrsl86PDRayOqFCxv4rhdHrk0E9Y/9Zo/efOfkr1upra0vD+l4s8gVscn8HLz7awKgGOKYYO0OnNsqIg02RP+of/RfrL28YvC+UDYSGga8zdGqJLLYRB5ti/4n9J/afNWv/OfCgA9PZZ56d5shNtIc//BHp4IMPSaeedmo65+yzZN3rc3n1q1+T9nzLnvkf9GGy3YRNa9L634Z/FZSfhDyzTi3PtdhGHGxak56/vrL1ZeQnEc8/Xn/pAdcf6ImuT3L3sCn6P87/cf5fs87/eQ27RTxUG4UXe7H60Fj/sf6nWf/2jjXtqb7LWGc80oHVhLZUtoz8/mFwJt6N7XOwzjjylwqMlCTqr0WxMfpv5IpSqjP6r3F9Q7HOONZfrD+pwEhLwKguGWP9xfob/EUrfbGK9p/LLrs0vfKVr6qtOZM+fvIpaavHbCXvYPtIOv30M+SP65mU/y1xn332SYsWLaobGUTf0KwzrvwR0x+y/xfKR0GXy/+WLV1mzz/WnzTfauy/P+Trr12pTWlj7L/x+kf/Y4OvS0RWxyo6/8T6t52nnGvj/BPnn3Xx/FturPFdWd0Y8v5Td+OyTtpiIU+7eAO3WnT3ojGHZ9/oZiYeeldc5C/FknpF/UsHldYrQ+mubMN1QrN6S4njoZRUhug/rorhWH/tX2Vi/ymLRXoj9p+yQMomU4bYf+qO4XdbrY26GFdyFtm8ms7/i/dYnC7KX94vObd79rPTgQcdVPBPf3pF2mvvvdMVIp/8xCel975v/7TxxvfPD2ytuf5YuGC+PO384wXyHWt8rMb6274R+VsFov5SCylCXH+1niAU119x/YV3xZR1Unojrr9KGfLeWd9WXrbRrBaHVir/Q1lvqe4mSqAMsf+0mhCK/Wfl7z/6jrXSm9qgBnPh0cH0IkyCOS4fJcQpaudx4LakdZkMCBw9jl2IU4b8gTsbaPEWmMPi+Q+LN8HiauqUYcDAHfWP/ov1VzYcWwp52cT+M9w8JljcnuKUYcDAbUWP84+VIpdtDey/hfJxyPKv5HLBvfe+e6dFr/TvSrv55pvTBhtuWJrCnp496TX79c/fsZafU/nxgllev+j/8vK39l5LXn97yQcvsD5fjAN3PP+4/orrL1kea/b+H+u/XrIMNjjsfCoH7tj/Yv9byfvfHPlYRH6zOB2ly6pOLVjN7M0k1Sc4Mau4Z+SBty8HxSyDr+yzGTU08/Ihj3BCCjVPcGpwiY38Uf/oP6z0ul5kUXFX6HKBL2sZ5yPWX+w/rg1KV+RBu6X2DLeOMZQU+y+vNBQq1h9XRVsGtclaxvlY8f1nwUK5sVaPd7zzneklL37xOnP+XzBfnruUauwda7H+uNPQY7H+uCq6bFCbrN359Zf7b3DINNF/XGnUOPqPq6J9g9pkLfpPa7Li579Yf1oxN8b+E/vvar7/JO9YWy5tR3fqR06MvNW5hl1BxcVnJR+WR71ldESl5XGCuRHuALn4rOQj8msdanVLjVyhqlvEBHMj3AFy8VnJR9Rf6xD1L81QesQ1Si2PiAnmRrgD5OKzko/oP61D9F9phtIjrlFqeURMMDfCHSAXn5V8RP9pHVZi/y1fvjxts802dd6U3vOe96QXvvCF/vVbi+s/6cZa9F+33GL9dQWJ6/+yRtxCsW3E7x/NvMLITZuVfMT+r3VYift/nXAgov5du+UKRf/VPtHuKKNrlNZGE8yNcAfIxWclH1F/rcNauv7bjxe4V78+Zwj82IBwxr4LFbQx2aYd+9cZimhEMlYY+WUhykqM+kf/SRvYnjxcKQNLW1ax/ob/OkrlaoUiY4Wx/8T+E/vv3f78s3xGbqwt3EbPEbKe999///S85z+/7pdr//6XPwqaD37HWtvW1oznf+0116a5681N97nPfermKyL239h/Y/+92++/bcE2tKbtP+2RE4r9J/af2H9i/5HNbEXvf418FLRuKGUzyXj8z/i2YdIGBJidOEbDa/RsDzTy19KPFnD2f0WL+qP7JrRv9F8pTKy/yRtl7D+x/5StN/bftpk2VHfQZmD0Bzr/2DvWav4D9j8gPe8Fz+NHVnF99CLGLpR+/OMfp+9dckm66uqr0v3ud//06Ec/Om2x+eZyw2c9m6vOYDrALbfckq777XXpuuvyf9enrbfeKq23/vrpd9dfn37+i1+k9ebOTZs8bJN0z3tsMPuF6hT7j71jbQn9eMFo+87+/MtzmSI/apAvTvLz/8EPLhV5rTz/e6THbLVleuCDHlQp4/kv/s7Faddddi1XnCeccEJ67OMeK/zRJxDXPxMrI45cXhyj5RuvP0KKvIuvv80l+W+55dZ02aU/SL/45S/T+rKGHrrJQ9MjH/Gold7/lvNu9vztcRlYvfW3tAYif1z/ysKUNhg7/5U2WYnr39rOQPRf9N/a3X/2UVBdTDJ2J+K6BOqSaAui8LzTlo2e2evby8U6oDkDKQQxmTdVDUZIkE2qA27Izl1V8hIE15uqBiMkyCbVATdk564qeQmC601VgxESZJPqgBuyc1eVvATB9aaqwQgJskl1wA3ZuatKXoLgelPVYIQE2aQ64Ibs3FUlL0FwvalqMEKCbFIdcEN27qqSlyC43lQ1GCFBNqkOuCE7d1XJSxBcb6oajJAgm1QH3JCdu6rkJQiuN1UNRkiQTaoDbsjOXVXyEgTXm6oGIyTIJtUBN2Tnrip5CYLrTVWDERJkk+qAG7JzV5W8BMH1pqrBCAmySXXADdm5q0peguB6U9VghATZpDrghuzcVSUvQXC9qWowQoJsUh1wQ3buqpKXILjeVDUYIUE2qQ64ITt3VclLEFxvqhqMkCCbVAfckJ27quQlCK43VQ3GKg8++OB0wQUXlJArrrhC3twt786Svxiye7NNN03LRebLmkWLdk4vfelLugsSTJbSt775rXTk0UelbyxbViLyPPpFGRqyaNGr0uI3Lk4bbCA3xfKENfQnP/lJ2n333dPVV18tRnFR/vP+9V/TUccck/71c5/LHvlvJs3b6F7p/R98f3r6055WdLV7KFo52qPLatVghFRqau9Yk19FlVxwQ1aaTaM6eQmC601VgxESZJG33357Ou20U9LHPnZEyT9XbLn+f7/ffmnHHXdUpotrymmnnpY+8k8fLVXaa+990s5S7+bNoVWDEVJnpVEdcEMawRlIIQiuN1UNRkiQTaoDbsjOXVXyEgTXm6oGIyTIJtUBN2Tnrip5CYLrTVWDERJkk+rI4/lf+lI68EMfSlf++teiaf9v+6y/Sgcf8qHKpkkIYipvqhqMkCCbVAfckJ27quQlCK43VQ1GSJBNqgNuyM5dVfISBNebqgYjJMgm1QE3ZOeuKnkJgutNVYMREmST6oAbsnNXlbwEwfWmqsEICbJJdcAN2bmrSl6C4HpT1WCEBNmkOuCG7NxVJS9BcL2pajBCgmxSHXBDdu6qkpcguN5UNRghQTapDrghO3dVyUsQXG+qGoyQIJtUB9yQnbuq5CUIrjdVDUZIkE2qA27Izl1V8hIE15uqBiMkyCbVATdk564qeQmC601VgxESZJPqgBuyc1eVvATB9aaqwQgJskl1wA3ZuatKXoLgelPVYIQE2aR8Nsp+vAAkSCMNgVImE4ee3tJ0QwCQw7RmUcpk4tDTW5puCADSsg2BUiYTh57e0nRDAJDDtGZRymTi0NNbmm4IANKyDYFSJhOHnt7SdEMAkMO0ZlHKZOLQ01uabggA0rINgVImE4ee3tJ0QwCQw7RmUcpk4tDTW5puCADSsg2BUiYTh57e0nRDAJDDtGZRymTi0NNbmm4IANKyDYFSJhOHnt7SdEMAkMO0ZlHKZOLQ01uabggA0rINgVImE4ee3tJ0QwCQw7RmUcpk4tDTW5puCADSsg2BUiYTh57e0nRDAJDDtGZRymTi0NNbmm4IANKyDYFSJhOHnt7SdEMAkMO0ZlFKI771bW9LX/zCF7w//w2fj0yrN2R22OGl6R//8e2mwzMj38122KGHpU+d+Sm9CySxz33uc9NWW26ZfnfDjem0U09NN9x4Q6anTeRG3QEHHFDegYUbYpdddll65StfWfx5KI+s5n/SE5+Uvv71r6V58+6VbrzxxsrRx/7v//5v6QF//MByuwH3jEzabEOg0TqyFzfWlixdqnOas+c23RAApMUOgVKGxFyjd7z9Hen8r3ylfHNFiRTa1ls/Jh199DF6QxLG+ghtFgHn/uu5af/37l/Kmud5Sb4JOnJojEUOGENPb2m6IQDIwazNoJTJxKGntzTdEABkSzdASplMHHp6S9MNAUAOsjaDUiYTs0e+uzkdf/zx6dhjjs2a/KcLYt68een0009Lm2yyaZnQPACQxTs+KGUycejpLU03BAA5npoe82Ti0NNbmm4IADLyT6yAlmhyoYae3tJ0QwCQE7OjmycTh57e0nRDAJCRf2IFtESTCzX09JamGwKAnJg9Xn8t0eRCDT29pemGACDX9PrLj4Lmp0IHnhnM+YQoGO8ZhVutdAEHByRNSdC8BZg2wsi+fET+qL/0QvSfLQUsOr96oEHq6ulH8xZgGtFgyzIfsf5i/UkvxPqzpRDrT3cG7BRe81b1tdG8BZjWCPZHePbl4473n+989zvpGnm32HJ5e9lb37pvjdGbY895znPKLHl48IP/JD3yUY/Ul6/mzzGHHHpIOvPTZxbeAza+fzr8iCPTIx7x8Bo3R26uXZ9O/fhp6YQTTyhbQZK3YZ37L59Nf/rQh5a5rv/d9WnpkiXp11f+Jp1w/HHyzrVraqyKjTfeOH3yk59ML5ZfKL1Bbq7Nlack9x0kz8fSE+XGmz9QkxV//ho/I+9YWyhwRr5jLb/jbvzA7Fpm04gM253Lf/3116U3venN6Xvfu0Tmyq+ZHg+Sj3+edtppKdcgH5j9rDPPSpd877vpFa/YKT3qUfKxQDm+/KUvp3333Uc4c9Jhhx2anvGMZ4h1Trrs8kvTKSefWj4auuPL5V1vdXrMVYJtZm9VXxvNW4BpjeDmyeY77j8NxlyQNCVB8xZg2ggj+/Kx5uXPf1EcdNBB6eyzz9anQOMJJ56YHvdY+YjvWvz8rUHpeQPaKx7PX8pk1UB5RMKWZT7WvP6P179u0PoCuhGvbqz/3NpWDaoRbNH/WpQ1c/3PkR8FlesYvJj0+nZwnAErpA/K9+zm5C/9k1WUL5ZsuQkdf6dNXmDdXKJavLmQF9IcBUT+qH/0X6y/2H9i/43zz9p//s2XMk9YmG8u6fXFHm/cI+22225Zm3j9cd7nz0vvee+75B02+UOLM+nsc85OD9v0YXkKd+S5X/ua18iNo+8V+0L5kYQj5MbY3Ln5e9fa9Ud+F9q73inzybabf3A9n38+LDeJnvaMZ6Y3vuENadmyb4hDHo/Yv/jFL6Q/ute9J1xgu/SUge3IqzLfWMsfAM3vWMvH6rr+uVHeqbbnnm9J3/72xSV/yS3Pf6MNN0qnyrv9NtvsYfKoWv/95CdXpJfusIO+q01qtN/fvzW9/OWvSN+VG6S77LqLPO456eSTTkyPeczW6dOf/lQ65JBD7PmfeeaZafPNNy/Pr9UddahmeOP68w9y/f2RD384nf6JM6z/c08ul34/6IMHpu222668bHH9X/+eKa073r/czeMMWCE5YvWt/7YOIz9XYHXtv1H/6P/RuyNx/vuDnP/yHlB+FdS1pSkGeK8YxWDK61guliCNDIIZPHBuUwx48ogGJvJCGhUEM3jg3KYY8OQRDUzkhTQqCGbwwLlNMeDJIxqYyAtpVBDM4IFzm2LAk0c0MJEX0qggmMED5zbFgCePaGAiL6RRQTCDB85tigFPHtHARF5Io4JgBg+c2xQDnjyigYm8kEYFwQweOLcpBjx5RAMTeSGNCoIZPHBuUwx48ogGJvJCGhUEM3jg3KYY8OQRDUzkhTQqCGbwwLlNMeDJIxqYyAtpVBDM4IFzm2LAk0c0MJEX0qggmMED5zbFgCePaGAiL6RRQTCDB85tigFPHtHARF5Io4JgBg+c2xQDnjyigYm8kEYFwQweOLcpBjx5RAMTeSGNCoIZPHBuUwx48ogG5u23z6RtniC/jCl/tcvf8Wnx4jelXeVGjd2V6WJvvfXWtP3226dfyfc/CV0+srh1OunEk/gvXhdx0ZKL0uI9FhdbzvnOt79dPq74Ups+P+9vfusbaffXvb7kz8RN5aOj55x9TpnzV7/4ZTrx5BPTTTfdnHaQuMc9/vE2V87vFTwrOCZLMOfPl5uKc5bLu+eWWX4/5/gciPdcZx0PFGt+x99+/7Bf+uJ/f6HcEMv5Uf9j5Lvl5s+fP6j/VVddlZ77139d6pYnzpme9tSnymu1q/54gRTjpJNPSifKa/HlL3+5vDaZk8Hn//Xz8s7DB2fNDjxS9B3kgGAGDxBfrKYY8OQRDUzkhTQqCGbwwLlNMeDJIxqYyAtpVBDM4IFzm2LAk0c0MHPeT3zyDPlY9Ydd/82R9bjHm/Yor+9IuK2f4sNk3joWZjaE4HlDDghm8ADxxWqKAU8e0cBEXkijgmAGD5zbFAOePKKBibyQRgXBDB44tykGPHlEAxN5IY0Kghk8cG5TDHjyiAYm8kIaFQQzeODcphjw5BENTOSFNCoIZvDAuU0x4MkjGpjIC2lUEMzggXObYsCTRzQwkRfSqCCYwQPnNsWAJ49oYCIvpFFBMIMHzm2KAU8e0cBEXkijgmAGD5zbFAOePKKBibyQRgXBDB44tykGPHlEAxN5IY0Kghk8cG5TDHjyiAYm8kIaFQQzeODcphjw5BENTOQtUu6qZ7sdSgJVzc6GaIu4I9DmKkgG+9eqkVCXq/qdLfLLBaZdho9UsDdp9bK1IBmi/uUavS9U0V2vVYazRf9F/8X6G10740ZdPdlXkAyx/8T+M+kM5vba2lDONsv+m78rbeE229iNmMVvWiw3anaRWTRb33//dt556V3vejfcaa+99yo/cNC+9l8fAOfPPzhw4003lZj8HWwf//gp9VGq+Pa3v51eJ++SyzE57fYvepHmELXPrxF+5FzwONssz3/hgvmSY458FJR+FVSzlqlWRf5jjz025f/yc5V/pS35c7Xf+773pRe84AWC9NHnB8D5/+fyy8t3131e3jFYXx6RUnmZA/Uv73KrPwSx7bbPTLvv9rr0yEc+svDyfCt2jOfXjhjOoOwWkxnONkv9h7O1aEMy2dq6/y256MK0h9zMzrXNNVMwk170ou1lDbyrvG75wzFr6/PPT3l4aPdke0Hx/OP1z3vlsFGKRbul9Yz1Td2FZIOM/S+uvyd0z5i59VJBMsT+u+rXX3nHWns52ouAdVxPB0Yhhq1xvGATd4s2mc0zDmh2gwZKCGvYY4qNHYPJZ3USm3gGDUR+qQBXI+qv57hSEy4MdZTCWZ3EJp5BA4XHWtQ/6p+vMUpPcGNQR0X/5QrMWhyqFvEMGig81mL93b3W33L5/clt5COaOBYvlhtr8i6oSa//hz/y4XTG6WeAnj72z/+UnvTkp6huL7SBYn/FTjulfFMorzu5j1d+mOAe97ynfZvGxRdf7N6Zk38sYYcd8pfwT/pTytILoFwGDRQia33/Ldgmv1svdTfWchhHlWkmDMQzqOD6665LX7/wwvTjn/w4vfbVr0n3lOf81a9+Le2111tkdnmHYH4w+mna9Br5yOyee+5JOWwysin86U9/Wr6DLX8fV76hlucqRw154d+8IO0s+bbYYgs2KxZO7H/11Z1cYqnVrM5SSx2IZ9CA1lzGW2+5JX3zG9+Qd2d+W26avTD96UMekq781a/Ty3Z8WbpRfuyDj8c97vHpqKOOkH6RX9K9w4NyGTRQolnr+x+tM0zDUUNvsxDPoIHILxXgakT9Y/+J/Xf177+4koj1d/ddf92NtW7jlI0UL2I7+QDpFssbLTxjsmcXfSSYTYyHc6p3dk6L6tlFHwlmE+M2E5B6Z+eAi7o2dkFNNSKbGBvBgHpn5xi5nhAbu6CmGpFNjI1gQL2zc4wc+aUU+Jf4XJVSt5HisYlxqySQemfngBv911er6CPFYxPjVkkg9c7OATfq31er6CPFYxPjVkkg9c7OATfq31er6CPFYxPjVkkg9c7OAXf11H+53OkqN9bqRUu7sTaef095d80F8i6bcpEjT+Too45O8xcusGuesef26le/On1fvmct3wLKgafId4ht+ehH2xP9znfke8LKu+TU9NGPfiQ99alPWy3nv/kL5LHLw1q6jN+xpo9DH217RgU11R4/m4DPk3f2vfvd9Z19Yny3vPvoSU95snycdYfyYwyl3DLkC/2nPeWp6bAPH5bWWy9/91w7dC7MWF+Pql555ZXp4IMPTl/IHyeVefIfa7lgT3ryk9M//sM/pIfIjZvh0c84ZLClZxddjUyrr5OaRtzE7Wck1wjs2UUfScAmxsMp1Ts7p0X17KKPBLOJMWa67NJL0+67715/JXdOet7zny+/5Pre9MbFe5QfzeCva9YfrjhVfrjiAaul//EYx6Q+l/aMCmqqhbCJsREMqHd2jpHj+Usp4vq3dUtBTbVGYRNjIxhQ7+wcI0f/SSmi/1q3FNRUaxQ2MTaCAfXOzjHyOtd/dmNtcoHw9n5iGDTQKljQJHt2wgepoV5TGzzlX0QtjqZgG4dMtGcSMkFqoNd4snj+Uf/8xcvUIQYNcMNQj3XmoiIGUjle47jov+i/6L9Yf7RDGDTAG4bgSfZMgw9SQ72mNnjWlPVXbqxt8wR52PJWMrk7s3iP+h1r/HTo+e+44yvS//7vD8Wbu2smHXXkkWkb+SipP/z+++rXvDp977vfr++UWp7e//73p+c+93kW8t3vXpJe+9pXl/z5LtHhh/9z98ufqDSkhnrNphPg8xePkQ0U8wK5sZafy9KlFxVZjIMBMZBK8BoHzaTFb9ozXXTh1+WhyB0veVfaFpttkf74j/84XbTkQqmD1C7b5XHm75M75ZRT073vPU/0bBs7kGkm/fznv5R3q50qP1Bwpj3LPE+9r1aDZ9ILX/Ri+Ujva9Imm2yqNkwh3PE8k+w5HD7IbkpVaVzx+rcgP3ezZwQfpHq9xhF3r/z5u++O+NiR1v/59X/JS3ZI58iPfuiRXz1df6efdob84qt8dNcdeKaQ6vQaB9y9nn95ZPZgDfADFjzJnmnwQWqo19QGz5qy/7ZHPfnZxPNHbSDxKo/vZLle8frH9W9c/9J6MWigbT0FTbJnJ3yQGuo1tcEzzfqTG2vy7bN8EWQZDHAWhz0DG0ClOKco5Z8iRQgs/yJpMzlie95WACMOgI+M/NoAUf9SAdccokT/lWUe6y/2n9h/+VTiNoo4/1g5DHCxHPaMP/z593bZ3J6wMN9Yk0cm/y/fsYaPgo7s/4t2XpR+8P3vC19vAn1EPhr6tKc+var+2eGJ46OgWc+M/AuIT3+6xIiWz7+XlBtrr1GnTHuE3Kx7wjbyowIj+fMcRlSF1PH8oA0jZ9L88qug+cbaEpqnMu9C/vfJ96V97nOfK6n5UTGeN2+jdNrpp6dNBze/hvnz96h94AMHpM+ee648zjbLC1/4wvS5cyWP1O35L3heOu/z/1ZyYsg/NPGOd7xDfok1f+a0e4q1/vpK9k7JcReef0k2MrRHnp1/+P5fHdd/uQ9yP+gzxsrh559fgZl00IEHpWdv9+zCK69U1L8UK66/pAy2SIddJK1Tm8pA7aGh8Ix1Y/1xFeL5j+0/tUKuOKLE/hP7j+w7q2v/tXeslZMf3WBr21RDvKgLds3bvL0ZukoeW0zkR5W0Jq3qDXG1CvYh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iEJP16ACHwUFDTOnHH+mOF//ud/1mln0oFyM2C77barU+M2BWZT2tOf8XT7Hqn8sbczPvmJ9IhHPKLOkVL+KOhrd3mtXEnpX49Hyo01/kEF/MszHpMFroTnv1DesZbnXSI/XsB/uyKXSh5b9tnqf9LJH09HHH6EkCU2T5ynkANfRJ+NhxxycHrWs55V7JqhQKcj83cvuUS+h20XidKJNt54Y3nn3wHyLrgHph133LHEfELqes3V16Z3vvPt6aprrpFcmviMT5yRHvmI+i6oPlFN2Zuhq+SxPcbZnj86gdkFY+LO0Zuhc2bYWqi3tK5rqHEr8iHm7s3QVfJoIQLAUlvL2lD2XPwd+Q7BXXYtJH79czxaY6dX7pT2/bt9dSIZMTNnhs1IxlJLy9pQ41Y0nKQ4ejN0lTzyjGCprWVtiNmjiSrBzxTPH/XgysPWauotreoNNe6EQk8wY+bIn3dqrgJXFFVSW6t6Q8wu2IeYuzdDV8mjhQgAS20ta0PMLtiHmLs3Q1fJo4UIAEttLWtDzC7Yh5i7N0NXyaOFCABLbS1rQ8wu2IeYuzdDV8mjhQgAS20ta0PMLtiHmLs3Q1fJo4UIAEttLWtDzC7Yh5i7N0NXyaOFCABLbS1rQ8wu2IeYu5jzr4LiLp6bgoIU0ki+8oCKLqdVZ895xFDvFFvWERD5ZcMr5aNLOKqlQhrJF/WXYpR6RP/F+pPNJV/d25F7QwzOZk4Dsf/E/hP7b95G1+zzz/Lb5TvWnpA/ypkX/PJUbqztstvE9Z+/MP/AAw+s/4o5J+262y7y8dHFui/QOVbhjHzkETaTAABAAElEQVRp+23piU9+kt7kmTuTtth8C/kY46fc+afceNhVcuaPw8lx5BFH1cdU1NFhZe0/C+bLR0HlqbdfBV05+99ll/9PetVOf1u6o9Qi76ny/Mv5RoZFr1qU9t5nn1oHforj+W+88Ub5+OxzU5ZPlu9Re8973pse8ICN5aOlF5X657V45BF6Q/Lqq69K73nv+9IFX/tq2mjevdO//fu/p3tttBG9pvVx6AIme34c4/n5ERaW0GL952rd8fq/TdbYts98Vrrx5hvs9c9lrgVMWz92a/mV2OPSPe6xftQ/+k96RBaz/H+2Y2Xtf9qHnCnWf9Q/+i/WH+8JQ7wq9h96x1qXsJws2caGegpmk1Hp9Gx+A3oy5m84tbgOUIh62BD5yyUQl8TKF/W3y0Orj4Hov1IKqof1TQcGFDbE+ov1J+/J4Zaw9on9J/af+n4t6w8Dq3T/vf3229MT5cbacrmSzB8WfOMb90i7vS7f5BrPf5380uW2226rnSvX3498+CPSGZ/4hOoUAsMXvvDF9La3va3Ml1/jd73jnenFL3mxuut48be/lXbZ7XUlf75gO/yIw+U71vLHU+tfl2XeweRujqIMKGwY33/zd6zldyRctHSZZrMQA1PXf/vtX5R+9n8/r89C8+d7a4/a8i/SySefnNZfL99IyceKrf/rrrs+XXHFFWmrrbaSezJam//3P/4jvV0+6plrdeAHPpC2++vn6IxSyMsuu7R8x9q8efn728affyHDlxV72gamfv402Tqf/8ADP5jOOvscvbeaFxoOKfPnzv1s+pOHPHSl91/Un3oYPc4mvAbwZd38BqL/SymoHla3DgwobIj9J65/4/o3rv9lz6iXdW33wN5Q3q+Wzbpx+O2jxrGxzECGAlXPYz5arsYDglQmj+phv2ED4JOhQNXzmI/Ir3XAa5o1VAwSjCZbDVE/4xoAmwwFqp7HfCC+ZW2IIpVsY5sD8cY1ADIZClQ9j/lAfMvaEEUq2cY2B+KNawBkMhSoeh7zgfiWtSGKVLKNbQ7EG9cAyGQoUPU85gPxLWtDFKlkG9sciDeuAZDJUKDqecwH4lvWhihSyTa2ORBvXAMgk6FA1fOYD8S3rA1RpJJtbHMg3rgGQCZDgarnMR+Ib1kbokgl29jmQLxxDYBMhgJVz2M+EN+yNkSRSraxzYF44xoAmQwFqp7HfCC+ZW2IIpVsY5sD8cY1ADIZClQ9j/lAfMvaEEUq2cY2B+KNawBkMhSoeh7zgfiWtSGKVLKNbQ7EG9cAyGQoUPU85gPxLWtDFKlkG9sciDeuAZDJUKDqecwH4lvWhihSyTa2ORBvXAMgk6FA1W+9Td5R9sQnWv43vuH16XW7v74EIQISM+Uv2//nf/4niZlJy+UGT/5uqO2erd8NZVwB8l205ZcPvyE3rfIl07x73yv9h7x7aqMN5UZPvcLM/G9+85vp9fKrifnIc370nz+WniLvysJckIXgBvWw37ABBJChQNXzr4LmY5l8FFSPxgOCrAQS6mG/YQH5o5n51z7zU8VHHPLrdNppp6dH/UX+aKZ+yChPiNevveoN2ZyZ6I6Z9Kkzz0wHf+jgclPybfvtl14uHwstcw2CyFCg6nnMx7T58RwQb1kM6Pzt2YhefErIYz4QzzxMAalMHtsciDeuAfDJUKDqecwH4ldV/h/84Ptp0aKdS5588zg3Rb6Vvp98tPplL3vZKs/Pz2tdrH88f+330uy1/7B2V0f/R/2j/rbLRv+V/T/Wn7/+Ke9Ys2VioGxZsn+Iof5rorkMVA5Ebx/VYazSC7dflWkjf9Q/+k+XgozlghlLCOsOsreP6jBW6UWsP5THaiqG6L9SDSuNARSpyt4+qsNYpRfRfygPShvnvxVafz/84Q/T72++Jf3P/1ye9j9gf6me7JRSu8c9/vHpDXJz7T73uU+6x/r3TH+2yUPSBhtsKP7WeHI7Lb1lr73T17+Wf/VS7BJ62GGHpac+9alpvfwl+bL+b775Zvk44nvTf+XvYxPKvHvNSyeddFL68z//8/JK/f73v08/++n/pVtu+b18If+/pLPOOqfONSc9//nPSy9+8YvTve/1R+l+979PetCDHuzyl4eqj9geVpk0D3fy9V+4cKE8vBn9KOigl3ISGKv0Ytb8N8jHNndetChd8ZMrSo3yw/vgBz+YnvMcfVcZSprt5UAqp8PoE8N61plnpYM+dFCJ2E9urO348peX+mcDOA1g4iqNMJsOUpVeUBLMIYTY/0sxUDnU/93vfnc677zzaqFSeuVOr0r77LN3mjO33tazANRS5F3oP5vOgKVW0NtHdRir9CJef5QHpb2T+49eoNbgwVxij9c/F0H+841npTKAGooh9p9SDCuNgVojiN4+qsNYpRf2smDKO3v+jf63yo3UUnzr0PpvHwWlTZTKgy3AJPuA0a7DaoJRPY1YHWSI/LaJtqq1ilKl2F1w8zXUk4pn4CZD1D/qX0/i3DvoEEj2ATdfQ/BBFs/ATYbov+i/6D8sF5NYIZDmINB8DZG7wOIZuMmwBq+/+QvmyzUt/mDJT9dr2ZWf3idOly++f1R+dxUOff633nqrvFPtwPIrlfnaL38t0EbykcP5f/mX6Xc33JC+9a1vyg8jyKxyn+0B9984HXPssWmzzTbDJOnSyy5Lr3rlK0XP8+VjPP+9NpqXvnz+l5VSRs2vUPBd7P8FUod8LJV31fVHyUTp1E+GFXz9/+9nP0v511cf+pCHpPXWW69M02ZpaJr8N950Uzr6qKPT+vL9XK95zWvTfe97H7vunDxzu0ZiNE3+u1r/dS3/NVdfna659tr0p9ILG21IN6z74oteXr/Bi0iGFey/kamtR9a1+qMWrYoNwQdZPAM3GaL+d3n/jf6jfkLjVRn9J+01KA8ZYv2tVeuv3VjjhUCvdzH3unGHjqHFyA0IaUa6TC8/m9lQP0mvTyTOtrVZUCFF/qh/9F/+Y3Tk6Ndbr1vI0DG0GLkBIcX6i/UX6y/WX9sUCPWbSK8bVR351zDzjbCNNtwozV1/vXwfrRy33X5buvmmmwvOX5T/mc98Rr6na5OJ5/9vfOMb6ZOf/FT67//6L/lyfgnL0+dDZP5y/UWv3jlt/6LtyzvgzCHZLr/s8pR/CfFe8+6V7rnhBvLuuPp9Y/JAbrtVHoO84y3nz0f5YQGZb1XsfwsXLJT3383QR0H1UQ7GVZQ/58klQ/0HeWGI/Kvk9c/ljfpH/8X6w0YzQcb+E/tP3H+I+y+TrlT6k2iv27YydMDib6yJ1f2Iy4S7qGPz6oSYtjKgFpmHfOKXP6eqHe7KLlcFkZ8uDKL+o3exuV+wNrSXuo6CWmQeov9i/cX+E/uvbATy1we2h7Ix6OYQ5z+pi/1hto6ef35z5ZXp0ksvTTfLzbA58qX8D3rQA9OWW25p79DifkGxtJe6joJaZB5W7fln4Xx55568620JvmNtNefXbxmx7mkLbDU9/8iPF7x2KNSov2xquQirdv1F/6Hhov9qs+nJNNZfrL/Yf+qSWDf+/tIba91+mCvgTaQRLJW6KwPmgqS5vIk0gkSfDmIuSJrFm0gjSPTpIOaCpFm8iTSCRJ8OYi5ImsWbSCNI9Okg5oKkWbyJNIJEnw5iLkiaxZtII0j06SDmgqRZvIk0gkSfDmIuSJrFm0gjSPTpIOaCpFm8iTSCRJ8OYi5ImsWbSCNI9Okg5oKkWbyJNIJEnw5iLkiaxZtII0j06SDmgqRZvIk0gkSfDmIuSJrFm0gjSPTpIOaCpFm8iTSCRJ8OYi5ImsWbSCNI9Okg5oKkWbyJNIJEnw5iLkiaxZtII0j06SDmgqRZvIk0gkQvML9zL7vLu+J655iOuSCJ402kEST6dBBzQdIs3kQaQaJPBzEXJM3iTaQRJPp0EHNB0izeRBpBok8HMRckzeJNpBEk+nQQc0HSLN5EGkGiTwcxFyTN4k2kEST6dBBzQdIs3kQaQaJPBzEXJM3iTaQRJPp0EHNB0izeRBpBok8HMRckzeJNpBEk+nQQc0HSLN5EGkGiTwcxFyTN4k2kEST6dBBzQdIs3kQaQaJPBzEXJM3iTaQRJPp0EHNB0izeRBpBok8HMRckzeJNpBEk+nQQc0HSLN5EGkGiTwcxFyTN4k2kEST6APp3rJl7JHrEVOjFTk6DBuwmXbP0N+4scQXMnGyK/FKBUiqql0EDUX8pU/539FYRj0sfuYGZ1TFiKp5iJ6dBA5a3WSI/18KVvhXVmycFFDs5DRqI+kslo//9mmvd4dtMtRHviKlwi52cBg1E/0X/rZb1tyDfWJO2W7Ys/ypo9J/ueq0SrSLNpuu9H5lZfSOm4il2cho0YK9Es0R+rkVf/dHqTAoodnIaNBD1lwLH+d93VeuOYfd5ZvVPCih2cho0EP0X/RfrT3qgrQiPhyuQmWvm+pMba8vl19Pl7Xn1HfwjT8kKwj5gyGFxYGEG4+aP/FH/6D9dD+MrZPKF0RgfK2s44xhbfkcu1n/sf7H/l+UyvkJi/U36w2ysXrH/cAW4QozBWXn7b76xlg//jjXOyXjl58eMXnJOxmCtvOePGb3knIzBivxx/o/r77j+1v1gfIeI83+c//3NIPQJJM4mQ8kMxmDG+WdtPP/QO9bqi14ENwDbczOwD82x4tKiBbjvU8O8hWCsls9MBlY8KTEtWkDk1xOGlqdWpgirUtTf9WWuFNdGK3dnRosWEP0X/VfvZ7W+Kg1iXdLZc6exL+t37rBoAdF/0X/Rf1g/dWUUYatEnGzPXPYhdsWlRQtY2etPb6zNkRtrSyY+oFWZf2JSckT+uuesgtefyjwRRv2j/mXPj/5b6fvvxEVHjlh/sf5i/cmCWMv3H7qxRqtfn3d5+6JZu0Lw9xrrZmFbRrv2LCa5IysztQv4PCNxLYEHA4YY+EI08ssGVYuqtaKKARYZ9Y/+i/UX+w/vr9gg2ObxgCGG2H/rRaGUKs4/cf65u51/F8ivguZj6RL5KGje8OL8L3WI65+4/onrn7j+KVtjHQZXN+wseMCI65+4/pNFhHUU139x/Tfb9Z/dWBtcfnDnDLadfM02PF03GrYlyOqBCkk32AbzRf7Wua2whgb1Mk8GKDBkdUKFNN7I6xn1j/pj53C9pUr0X+x//Z8rrU2wwUDG/lMqgHJAxv4rZdFL1cF+EuefO33+aR8Fze9Yy3W1RivtZ6qZDYir28+i/ne6/lrkPKKukNUDFdJ4cf0V/Rfrz11PxP4T+0/8/dFOKR0a7JfOjxMMZJx/SgVQDshVeP6dk79izW7DdvXPqnwBW/kJ94JlwB3brPNhjxXGztCphVVsIw42Rf6o/5y6wXJfoM0gB77O0KnRf1KBUpORwrAp1l+sv1h/uPkT5784/+OM4yXvme3k0jgDv7iKbcTBpjuz/27DvwrKkyBXezgFrez8rjciv9ssunJE/dGTI4Vh053p/+g/WuBcRNSa3BkWSscze+VG/eP6L67/4vqv3xfq9mBisI10hk4tccU24mDTmrr/2DvWtEL8lLKFdcbKdu5qQoyyZeTPD4Ez8V8j+hysM478pQIjJYn6a1FsjP5zF/jaN1Kd0X8N6huKdcax/mL9SQVGWgJGdckY6y/Wn/uLN/eN9EXsP3UTZdEvKNYZ15jOtFA+Crpc/rds6bK6NIUQ6y/WX6w/XmSx/8T+G+efOP/6PaFo3QnVXeD2PgkYMcGoLhnj/LtOnn/LjTW+K6iNkbusno1Lh1iblPbDebpZvaWQeMjE3IWji1k89K64yF+KJfWK+pcWKk1WhrKPZZvvNvUV7vhOV1tKeNF/WqZujPXX/lUy9p+8nvIR+08pQ9ledI/pKlN3G/UVbuw/rW+0IK0suTax/3JVDK+s/XfhgvlS5fzjBfIda3yUxo36R//hyombI66/V9b602uHkRrH+pOGi/0n9p+RtZE7I/7+l9ZAbcpmIVWpelble0Kz3nmKrlaOBZYQHCVQBssBh8qo/8r/+0/fsVZetzLoi1VeCCn6yGvkX5KmuRCnNA7QwJ0N1DwFZnLkR8nuULqaOmUYOnBH/aP/Yv2VDceWQl42sf8MN48JFrenOGUYMHBb0etlwoAwnKO3uBCn9Ez98ydb7eWN/LH/rQX7X/6OtdzT5ccLXINnpR2D5RH9H/2/FvR/7vCypw8avPV+RgN39H/0f/R/WT22FPJCsQukrMx+uDXllGHcwG1J4/rPSpHLFvUfNs8Ei+sppwwDBm4r+srrvznyFWv5zYp0lCxVp4dQzezNJNUnODGruGdk42pfTolZxr6CDz7MnqU8wgkp1DzBGfm1AlKeqH/0X6w/7HR1v5BNhbvCFoud0TIvH7H/xP7r2qB0RR60k2o/oa3MW4HYY//llYZCxfrjqmi3oDZZyzgfK7b/LJi/oFDH3rEW/ceVRo2j/7gq2muoTdbuXP/hHKHz0CjTRP9xpVHj6D+uinYMapO16D+tyYrt/7H+pFq4xNfC6Rj7T+y/q/n+k7xjbbm0Hd2pG2lM3uq4X1cUu/is5MPyqLeMjqi0PE4wN8IdIBeflXxEfq1DrW6pkStUdYuYYG6EO0AuPiv5iPprHaL+pRlKj7hGqeURMcHcCHeAXHxW8hH9p3WI/ivNUHrENUotj4gJ5ka4A+Tis5KP6D+tQ/RfaYbSI65RanlETDA3QkWTbqy5+KzkI/pP6xD9V5qh9IhrlFoeERPMjXAHyMVnJR/Rf1qH6L/SDKVHXKPU8oiYYG6EO0AuPiv5iP7TOkT/lWYoPeIapZZHxARzI9wBcvFZyUf0n9ZhLe2/9uMF7tWvzxkCX3YpnLHv4gNtTLZpx/51hiIakYwVRn5ZiLISo/7Rf9IGticPV8rA0pZVrL/hv45SuVqhyFhh7D+x/8T+G+efu/n5N38UNB/8jrW2rcX+H/t/e896PbM10Rql2YDi/Bfnvzj/xfnvbn7+w3bFsm1rcf6L89/qO/+NfBS0tmU5mWY8/md8a1huY8SSbTS8Rs+2UCN/Lf1oAWe/i57Li2M0POpfihv9N/lGZay/WH9l7xjdQGL/kf11vDLiiP0XZ58JRYrzz6o4/9g71pbQjxeMNmnUf1XU35o+1r+VYnyTjP6L/pONSdpg4hs14vqznjtHN/C4/pIdZrwy4oj9N/ZfVGC0SVb9+cc+CloeR82Hx5SlN7UHVLraOylMHXBDGsEZSCEIrjdVDUZIkE2qA27Izl1V8hIE15uqBiMkyCbVATdk564qeQmC601VgxESZJPqgBuyc1eVvATB9aaqwQgJskl1wA3ZuatKXoLgelPVYIQE2aQ64Ibs3FUlL0FwvalqMEKCbFIdcEN27qqSlyC43lQ1GCFBNqkOuCE7d1XJSxBcb6oajJAgm1QH3JCdu6rkJQiuN1UNRkiQTaoDbsjOXVXyEgTXm6oGIyTIJtUBN2Tnrip5CYLrTVWDERJkk+qAG7JzV5W8BMH1pqrBCAmySXXADdm5q0peguB6U9VghATZpDrghuzcVSUvQXC9qWowQoJsUh1wQ3buqpKXILjeVDUYIUE2qQ64ITt3VclLEFxvqhqMkCCbVAfckJ27quQlCK43VQ1GSJBNqgNuyM5dVfISBNebqgYjJMgm1QE3ZOeuKnkJgutNVYMRspLbO9aWiKV+vYegjtYZyEtwmvyIQQJMB2l+ZyCFILjeVDUYIUE2qQ64ITt3VclLEFxvqhqMkCCbVAfckJ27quQlCK43VQ1GSJBNqgNuyM5dVfISBNebqgYjJMgm1QE3ZOeuKnkJgutNVYMREmST6oAbsnNXlbwEwfWmqsEICbJJdcAN2bmrSl6C4HpT1WCEBNmkOuCG7NxVJS9BcL2pajBCgmxSHXBDdu6qkpcguN5UNRghQTapDrghO3dVyUsQXG+qGoyQIJtUB9yQnbuq5CUIrjdVDUZIkE2qA27Izl1V8hIE15uqBiMkyCbVATdk564qeQmC601VgxESZJPqgBuyc1eVvATB9aaqwQgJskl1wA3ZuatKXoLgelPVYIQE2aQ64Ibs3FUlL0FwvalqMEKCbFIdcEN27qqSlyC43lQ1GCFBNqkOuCE7d1XJSxBcb6oajJAgm5T3BtqPF4AEaaQhUMpk4tDTW5puCABymNYsSplMHHp6S9MNAUBatiFQymTi0NNbmm4IAHKY1ixKmUwcenpL0w0BQFq2IVDKZOLQ01uabggAcpjWLEqZTBx6ekvTDQFAWrYhUMpk4tDTW5puCABymNYsSplMHHp6S9MNAUBatiFQymTi0NNbmm4IAHKY1ixKmUwcenpL0w0BQFq2IVDKZOLQ01uabggAcpjWLEqZTBx6ekvTDQFAWrYhUMpk4tDTW5puCABymNYsSplMHHp6S9MNAUBatiFQymTi0NNbmm4IAHKY1ixKmUwcenpL0w0BQFq2IVDKZOLQ01uabggAcpjWLEqZTBx6ekvTDQFAWrYhUMpk4tDTW5puCABymNYsShkScWNtydKl3b/m99ymGwKAtGxDoJTJxKGntzTdEADkMK1ZlDKZOPT0lqYbAoC0bEOglMnEoae3NN0QAOQwrVmUMpk49PSWphsCgLRsQ6CUycShp7c03RAA5DCtWZQymTj09JamGwKAtGxDoJTJxKGntzTdEADkMK1ZlDKZOPT0lqYbAoC0bEOglMnEoae3NN0QAOQwrVmUMpk49PSWphsCgLRsQ6CUycShp7c03RAA5DCtWZQymTj09JamGwKAtGxDoJTJxKGntzTdEADkMK1ZlDKZOPT0lqYbAoC0bEOglMnEoae3NN0QAOQwrVmUMpk49PSWphsCgLRsQ6CUycShp7c03RAA5DCtWZQymTj09JamGwKAtGxDoJTJxOKRHwXNkg4EwJzfSycY79mFW610AQcHJE1J0LwFmDbCyL58RP6ov/RC9J8tBSw6v3qgQerq6UfzFmAa0WDLMh+x/mL9SS/E+rOlEOtPdwbsFF7zVvW10bwFmNYI9v6q7MtH7D8ruv8sWLBQ6jUj37G2rFRubLCKR/2ltawaVCrYssxH9N+K9p/VChukFtCNqK4uc9OIA1vUX4sS/Rf9J2shrr8G2wt2Cl0n0CBpSyFo3gJMG2FkXz5i/cX6k164k+tvjvwoqLxvbazBtK0wjjNghQRbZb5nNyd/6aWcRd0X5wkdj3PyCbabS9Q8kz+QF7LzRv6of/SfLIpYf7H/0Bd3xv4b5x85mZbzaTl1jp8/+Ww6zoAVkiNk14nz72o9/+Yba/kDoPkda/mI+sf1Z1x/x98fcf0X179x/RvXv3b/RC7X4v7Lqr3+Lb8K6i6LTTHgr5ZHNDDlOlp/vLJKo4JgBg+c2xQDnjyigRn5o/7lx4ukIcr9NPQKGgR6J53bFAMde6iCGf0X/Rf9l/+gj/UX+w/tk9ggycTQuU0xwNRRDCb6DtLIIJjBA+c2xYAnj2hgIi+kUUEwgwfObYoBTx7RwJw/X96xNmd5WrpkWZz/7K8IKRgKNFK7bHJuUwxMiGpmMPG6QxoDBDN44NymGPDkEQ1M5IU0Kghm8MC5TTHgySMamMgLaVQQzOCBc5tiwJNHNDCRF9KoIJjBA+c2xYAnj2hgIi+kUUEwgwfObYoBTx7RwEReSKOCYAYPnNsUA548ooGJvJBGBcEMHji3KQY8eUQDE3khjQqCGTxwblMMePKIBibyQhoVBDN44NymGPDkEQ1M5IU0Kghm8MC5TTHgySMamMgLaVQQzOCBc5tiwJNHNDCRF9KoIJjBA+c2xYAnj2hgIi+kUUEwgwfObYoBTx7RwEReSKOCYAYPnNsUA548ooGJvJBGBcEMHji3KQY8eUQDE3khjQqCGTxwblMMePKIBibyFin/qpntdigJVDU7G6It4o5Am6sgGexu6Uioy1X9zhb5u79aR4roTFq9bCpIhqi/lNDVqCmu16rZ2aL/ov/cXZPWO+NIuyf7CpIh1l+sv9h/Zlstbc3YusHtj9h/J+6/CxfMlyrNkY+C0q+Com6x/8T+Kz2QP5wS5584/8T5J84/YxXQM2+cf3mHcDWJ64+J1x9j/VT/6imuUkcZ1oXzT3nHWisILSiDBlpxagB6rDA8rU05iOpcTqVJDBoYzBT5tcdLhXyZXFW5uTtHp9IkBg1E/aUCXI3ov+i/8g416YvZP03PXdMtOacSz6CBwmQt+i/6L/qv7sm8MNyaysqsTmITz6CBwmPt7rb+FmyzoDxVf2Nt3Xn+E/+1bB15/eP501J2kFetc3QK8QwaKFzW7m7rP17/7uU0lV81M44A4hk0UPisxesf119x/RXXX2VP4I1Bdoruxpq/BO243Uak3tk5LaRnF30kmE2M20xA6p2dAy6eV2MX1FQjsomxEQyod3aOkeulXWMX1FQjsomxEQyod3aOkSO/lCJ//0we81FQU4vN7FUbcRtv2FHkGoE6V5uxoKZaBJsYG8GAemfnGDlefylFvP6tWwpqqjUKmxgbwYB6Z+cYOfpPShH917qloKZao7CJsREMqHd2jpHXif6bv2BBucG/dBm/Y01r0Fer6CPFYxPjVkkg9c7OAXd4tixxI8FsYtxmAlLv7BxwI39fraKPFI9NjFslgdQ7OwfcqH9fraKPFI9NjFslgdQ7OwfcqH9fraKPFI9NjFslgdQ7OwfcqH9fraKPFI9NjFslgdQ7OwfcqH9fraKPFI9NjFslgdQ7Owfcda/+dmNtcoHwxY/EMGigVbCgSfbshA9SQ72mNnj0ixeJYdAABwieZM80+CA11Gtqgyfy5y9+pAoZNMAFEzzJnmnwQWqo19QGT9Q/6h/9RyvEoAFeMIIn2TMNPkgN9Zra4In1F+sv1h+tEIMGeMEInmTPNPggNdRraoNnRdffArmxlm/fLl16UZE8S8PIBKkerzV2frwrmr9FTZ5tVT7/yI8KRP3xD6ioSJOoDaR6vNbY0f+x/mP/i+ufuP6hHdKgAd4wBU+yZxp8kBrqNbXBsyauP7mxtlyeE33i3p6hAX6WDnsGNuBKcU5R6gdr8fbZNpEjtrrbC9CYPfKRkV8bMOpfKuCaI/ov1p/scfL/2H+kDLTd04arG4etGwP9tmu6Z8T+G/tvvgCvh2sOUeL8v8r3n/nlV0HzjbUl3bKO+kf/xfkvzv9x/RPXf3H9F9e/uEjL0l2okdrZOaRiz4jrf77+t3esUUVL2VqZGhrU1lfW3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+xNy9GbpKHi1EAFhqa1kbYnbBPsTcvRm6Sh4tRABYamtZG2J2wT7E3L0ZukoeLUQAWGprWRtidsE+JC2Ud6xl0xL58QK7wSk6aCp55BnBUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5u7N0FXyaCECwFJby9oQswv2IebuzdBV8mghAsBSW8vaELML9iHm7s3QVfJoIQLAUlvL2hCzC/Yh5i7m/KuguIvvpqAghTSSrzygosulnLPnPGKY7Scg6kOJ/PqvCFF/uudLvaSQRvJF/0kxSj1i/cX+Ixsq/0Ud+2+cf9bA8++VV16Zzvv859P111+frv/d9ena316XrrnqN+k3V12dPnTwIekRf/7n1Ocrf/+77LJL01fO/2q64YbfSe5r0zXX/jZdd+016eprrk1nnnV2Wi//k7ets5Wfv1wWlT1dL5AU0kg+Pv8tmC8fBZXH1X68QIhr4Os/7fOP/T/2/7YucxdF/8f657267CyDIf7+lNOGlCn+/oy/P+0zB3SNoZBG8vH1R5x/ZWup14X0jrVuv3HFyz421CXIJgun5Wl+A3Ua0i2uAwMKGyJ/2QK4JFa+qL9tj1YfA9F/pRRUD+ubDgwobIj1F+tPTsHcEtY+sf/E/lMvz6w/DKzQ/vvNb34r7f663eQiZa50Ve6nfL2ifXXqKaekLbd8tGjT99/Xv/7V9KlPn5l+9KMfpb/5m79Ju+22W5o7N+fS44wzPpE+fNiho/kvuvDCtN56c+9S/gkLB+lVUsmGhvH9N3/HWq7TRUuX6fWdzWFghepf8lHIiuYHL/r/rvV/1F8qEP1nf6RhXTXD+PoHL9ZfrL/y972tIQOx/5dSUD100QzHAYUNsf7uyvXXqrr+uVvtf/p+tfyQtHF8+9StnI3l0ZOhQNXzmI96005Q4wFBFqIb1MN+wwYQQIYCVc9jPiK/1iHq3/oECBIValI97DdsAGwyFKh6HvMR/ad1iP5rfQIEiQo1qR72GzYANhkKVD2P+Yj+0zpE/7U+AYJEhZpUD/sNGwCbDAWqnsd83NX+++Hll6eP/NNH009/9rP0i5/9XL4XcblMKrPK/0/9+Cnp0XJjzbLcyfw33Xxz+uvnPCfdeONNMoUEyzu63n/A/um5z3tumTNP98X//u/0yU9/Kv2v3Hi79qprXP6LLrgwzZUba9PmLw9XooeHethv2ACiyFCg6vlXQfOxTD4KqkfjAUFWAgn1sN+wAdDJUKDqeczHXX39EW9ZDOj8vK71EjPy56pH/bU/0D/cJ2ghSHRSk62HEG9cA2CToUDV85gPxEf+VicgSK0Uj+phv2ED4JOhQNXzmI+ov9Yh+q/1CRAkKtSkethv2ADYZChQ9TzmI/pP67Au9195x5q1iYFaGLxHVlRzGUDxwBXZOooC2I/gKr0YiRFC/aZBRLYHEvldBaxAXG9iFD9IVXoR9Ud5ULbo/1h/sf+U1WBLwwAWSZW9fVSHsUovYv9BeVDa2H/SBz74wfSZz3zGTvunyI21LbfaEhVqclA7cQ2uR2bS17729fSWt+ypTonJb4p7+Y5/m/Z729sG/Xf7bbelRTvvnC6XG32Y/kK5sbbe+uu1vEAgzKqDVKUXg/z8SyuItAeCPJBCWLhwobhn9KOgFlAJRYexSi/ucv5hvfHgREZ+abaovy5K33ioyqC3Y/+TcukmNrFGWGJG4PUOZ6y/2H+kB2L/yUXAYrDznS0dA0LJR+w/sf9Muf+2j4JSE2lX6Yheg2QfcPM1BB9k8QzcZIj81sSoWZaoECT7gJuvIfggi2fgJkPUP+pfNxH0TJboEEj2ATdfQ/BBFs/ATYbov+i/6D8sF5NYIZDmINB8DZG7wOIZuMlwN11/X/ryl9O++/5dKm9ak5tg+o41f2OtPYuGJj3/H/34R+nlL395dSt/r732SjsvWjS6/o4+5ph0/PHHWX59x5q/sdayNjQpv7v5ZLursFdC/RcsmF/SLpWPgvZHeWSDh0eGlZC/nS367NVD6ZRBhsg/2n+oEOSwslz1yaziGbjJEPWP+sf5d7C8sEIgBwQxNF9DPa94Bm4yxPqL9Rfrr182trZopUzk8ErsSat7/bUba/xI+mfR68YdOoYWIzcgpBm5e14/Cd/sQP0kvQ6eld0MI5bmMxT5o/7Rf7H+/F+5tj0MNpHYf+Sip5WnoWFhhpbGNhT7b+y/K7j/nn/++WmfvffRL1eWHizvWNsSN9aG3Ta0WNcVkN/Rddwxx6VTzzg13XzDzenpz3h6OuCAA9K8efMakSY59thj07HHHGv5yzvW1sONNSLW6KGlTWtISKvi+mfhgoVpuTy/9lFQy+jBKsqfk/whn3/kj/pH/004VfMOEOt/ley/sf/E/hP7T+w/+U8lf2OtbLhUmAl30W2Ppi5SSAbeZYo5D3nhtS8d7thlVbofsYr88mKM/kVbaslXsVrLrqJQi8xD1D/6L9af/E1fNjksj7IwdHHIBVfsf7bjxP4b++8f+Pzzla9+Le299162RE85VT4K+uh6Y40WsEIy1PVcbggXcx7a+e/25ben3996S5q34UbFXp2D9X/c8SekY4452jgXXiQfBZ1bb6xROoVkyBFQi8xDy58fF9zFoc5B/jtz/l84f77Q56Ql+I41JFhN+fVbvmz3aE8w8ss+kouwal//qD8avpQ6+g/liPUX6y/2n9h/4/yz2u4/6Y01bMD1fJSFN5FGkOjTQcwFSbN4E2kEiT4dxFyQNIs3kUaQ6NNBzAVJs3gTaQSJPh3EXJA0izeRRpDo00HMBUmzeBNpBIk+HcRckDSLN5FGkOjTQcwFSbN4E2kEiT4dxFyQNIs3kUaQ6NNBzAVJs3gTaQSJPh3EXJA0izeRRpDo00HMBUmzeBNpBIk+HcRckDSLN5FGkOjTQcwFSbN4E2kEiT4dxFyQNIs3kUaQ6NNBzAVJs3gTaQSJPh3EXJA0izeRRpDo00HMBUmzwPS1r30t7bnXnnJfQm4byD2bU0+e8B1rFLvCEEkgKRCm4447Lh197NGW/6KvT/iONYpdYYgkkBToTaQRJHqBC+XHC7J7KW6s9YRex1yQ5Pcm0ggSfTqIuSBpFm8ijSDRp4OYC5Jm8SbSCBJ9Ooi5IGkWbyKNINGng5gLkmbxJtIIEn06iLkgaRZvIo0g0aeDmAuSZvEm0ggSfTqIuSBpFm8ijSDRp4OYC5Jm8SbSCBJ9Ooi5IGkWbyKNINGng5gLkmbxJtIIEn06iLkgaRZvIo0g0aeDmAuSZvEm0ggSfTqIuSBpFm8ijSDRp4OYC5Jm8SbSCBJ9Ooi5IGkWbyKNINGng5gLkmbxJtIIEn06iLkgaRZvIo0g0aeDmAuSZvEm0ggSfQD9O9bMPRI9Yir0YienQQN2k65Z+ht3lrgCZk42RX6pQCkV1cuggai/lCn/O3qriMelj9zAzOoYMRVPsZPToAHL2yyRn2vhSt+K6s2TAoqdnAYNRP2lktH/fs217vBtptqId8RUuMVOToMGov/uQv/lG2tvectbyht+ZuTdWKec8vG0pX0UVCZexfU//vjj09FH5xtrkkryX3jhBWk9+yjoqs9feiwPrZ3MVAA9/wX5xproy5blXwVtAUCQOY5xmccNI94RUwkpdnIaNGC5mmVy/t9ee638oMScdJ/73Nc9IpvEW+tENLNBAxbaLJPz6/TMrAlHTMVT7OQ0aCDyS6Hi/ON7rnVH7S8nRrwjpug/qUCpCxXHoIFYf1KmWH+x/tqK8LVwW0/bVLyZg9lT7OQ0aGCdXH9yY235zIz8UzA+8dHK0aoHG2T2AEM2do+YwRg8+daTyB/1zzu/HOMdMvnEMMbXmTAyg3HzR//F+o/9T9fD+AqJ9TfpwnSsXthZhhUdY8f5b7b99+vyK55vzjfW5M5Wvml06inyjjW5sZYrecvvf59+8ctfpmuvuTbd//73TQ9+8J+kDTfc0JffnVG0/jPLl6frf/e79Nvf/jZdd91v0/3ut3F66EMfUuL6V+jEE05MRxx1lOW/6EJ5x5rcWAMPkpPeeOON6dsXfzv9+H9/nO65wT3S5ptvkTbbbLO08cb3F1o90VnAynv98421fPh3rPEjZIwHsPLyY8Ysr7vuunTpDy5N1/72mrT++vdIW221VXrQgx4onsnP/+KLL0677Lab3MScSSeeeGJ67GMfW6bEo4bMRmDIQhwdmMEY5FXz/DF7e6TZsm7mv+WWW9Oll16afvWrX6S5c9dPm/zZn6VHPPKRtURR/9n2P+4a7h5gyFrMEcEMxqBG/aP+cf0f1/+6H4zvEHH9f2ev/+kda7WkRXB52Z6Lzz5szisuLVpA/mhHu8ziPMZq+cxkYMWTEtOiBUT+qH/0HxZHXRlF2CqJ9Yf9zkpiAIW7U9KiBcT+E/vPmrD/3HrbbelVO70q3fe+90sbbnTPNHfOXFkVM+nWW29Lt9xyS7pJbiS9dpdd02c+c47ot8oPAWwkN6LyNz7NpNsyR77L7MYbbkqHHnpIeshDH5reuu++6cpfX5k2FN6GG2xQrgFuu/22dP31v0uv3/316alPe4qsKa3MBRfKjbU3y0dBl+crD3nH2qknpz/9kz9Nxxx7TDrrrLPL2svMfNMth7zoRdunN77x9XIT58HFx8O+kveiJUvK45XJyvqTN0elxXssTrvsuotOUOapk4nlxJNOSEceKTfWav4LL/q63Fhbn6c1/Hu50XfOOZ9JRx11RLrxxpv0KWCq5XPS4x7/2PSe9743bbrJJvnJrPT1rzfW5siNtSX2mHqAh7Mq8udct9++PJ0q34N3+OGHu+e/31v/Pu34ty/PafWVHXn+p512evroRz4qhBn5Xr190qL8S62I4MDaGznfnT14mth/62tRilgrU4RVSTxsz0T2lcBZhy996UvpQwd/KP36l1eW1zVH/9W226aDP3TwSu//WR9IddqjFxCv/6p//fvXJOpfax79F+tPrj3k/35nKgvEVon4KjaTAQTeKWnRAmL/W3X1pxtr/vWxFwDm7oXIF7L+Li9FABaZL6/ljjjmKRIEZ3TKgCEGboTIH/WP/tMlo2uFVgxgkbH+Yv+J/TfOP3x6xQbBNo+ZkW+ePeVJT07L5S5U+YJ0ceq/8meWXvq98x3/mI477oT061//Wg35jtVy8ed3mtXzf/6Fzb/8y78sN1h+9MMflUtGvbTRefJce+21V9p5551xOZkuuOACubH25vJRzJz/wA9+IB1x+BHpZz/7ubxD7YHp4Q9/ePr+D34g71q7qjymPMcW8g6xU047NW14zw1c/p122ildfvnlxVa+sy2T5bEtXrxH2nXXXYuGIT+i3DP5nVNHHnmk5b8ofxRUfrygv/64/rpr0xvesIfOL8Eb//HGadtnbpsettmmcnPu5HTN1Vdj6nTIoQenZ4lvtgP5jSOGO7r+WSC/CpqPpUvko6D5wZdJWv2LswyD2ZurogFjBfLfcMON6R3veEf6yvlfSXL31V7/x2z92HSMfJx2A7mJqsdg9mI+99xz0wH77y94TvrHt789vfSlL6l8ESuQX5+0cv8Qzz/y56bT+udfpz3+2OPSsccdI6idf/Kv755+xmnyrrVNlTthHHRIvP53uP6j/1r/xfrXdcjn37bUBquruSoaMGL9xfqT5VVX2OD6x/1wDpqnyNV3/WGP7m6Q326sDZ4+XzkOll2+zuHTZU9wz6w5B2YYRuaL/NInaONWQqCof/Rfu1xFV0BiXUFWO1RIWcPYjAb9FOsv1l/sP1hQAzlYL46BdQVZnVAh15D1t1w+Onn++eenG264IX32s5+V7/BaVs7/c6U/Ntlk07SbfHzvWc96Vsof5btabiB99rP/IpxvypOWt3nJpdh2222XnvTEJ6ZnPP0Z6b73v1/6mvzS57mfOzf953/+f8Wfq7P5FpunHXZ4WeE97GEPkwsCKZLMf4HcyHrzm96cKe7YS34pdNGrXiWUuSk/vmOOOSadcMIJlTOT9tvvH9KOO75M9HYOXXrRkvTzX/0yfebsc9J3vvsd8ekLsXixvmPN7ac1/4knnZSOPOIIy32hfRS0nX+uv/76tMcee6QfyA2+fGy66SbyeI5LD3zgA0SbU2427i03DC+/7PI0MzfJL5HOS+ed9/l07z+6d/HnmEE/TbH/to+C5nes5edtjZZTNNXMBu5y/lyDN73pTel73/teTSRPVF7//M7B0047TT4Gu7HLf9bZZ6VLLvluesUrdkqPetSjSv4vf/n8tO/f/V156Icecmh65jOfKXOkdNlll8l3650iHw3dWl7Tvy22Qb2KFQOeF2S1Q4Wk+gzmm6L+yO6eKPWfpVvL88vXy6SDDjo4nX32mVISXX9llOd9wsknpcc+ZutqtkLc5f5rtc8I80JWL1RI4+WItp4LO15/eY3a3lkraGJQL/NkgAJDVidUSONF/Qf1jP6L/ov153YVVgbrhZ22r9hGo16okMZb+fvPnPwVa3zuz4/A8mac3fUFZrs+0jYOfJ2hU0tgsY042BT5o/7Rf3qBw+uirTxFA19n6NRYf1KBUpORwrAp9p/Yf2L/afvPb668Mj3/uc/Tf70V8+Mf///IO9WOc9cMP7niJ2mHl+wgX0Kfrx9S2n//A9Lznv88d5mR7du/ePv085/9X9pabpiccPwJae56+WaMv/7IN7LeLDds8ru1yrvkJNNiuYm1q9zM4+O38p1ez5aPmOW1mxM942nPSId9+DCj8Jq+5pprys2+YpNh8ZsWu3esMTffrDtavmMN+cs71vjHCyTDxz72sXTyxz+e8qPPsWefc3Z62CYPqzcP9CHkx/dX2z5LFHlwcuy22+vSG/d4Y3knnCuM+Dj/ndl/tuFfBeVJujlz/nwUSscze2Hkmt/x+s/fKffmPfdM3/n2t63++Z7qve49L33846ekzTbbzD2nK664Qt6N9lLL/7b93pb+Vm6Y5Zudu+zyWrHPSSfLDc3HbP2Y9KlPfiodduihVv+zzvx02nzzzeuja+L/Z+87AP4oivY3oQcrVaqggIoi8CWhSy+KAgoBpIiCdKTpH+lVBUILIjWB0ENHaUHA8gFCQgqgKIL4IRZAUTpJkJL3P2Wf2dm9uzfkJZTAnnLzzMyzO7+b2927d7N31ziMwlCoUlBsLQ5veiPHz5X5MqlyQW1qsjUK5nXNjPFPGXZKGHXJKOv/3Ob5D6HjjztO+h2yIof+Hjz+dHJxpPk5hbUeP7WMev5xSUCzyMaSmbH/1/ZPGSjadaGmFLU4vKme/2nff3Ayfc5ScgW1qcnWKJjX1df824o1/QllFK97HH9wiwk/S120988vxGJyt906G1tW6HWPa3zJQEtKav41Kbav7a9x4a79j1pHHX8wGjtZDihe97iOv+/n8ZcntvhdZbibGT16NK1MWsAaxWuvTQ0rr7Ky/DnN1/+111mL3q+WJrl4/HnltVfDavR4KW8XXXxxWPYznyFUtrGeMI5WmfHEl4xZVOOiiyxK7zG7hibhZmnQd9pxp/DbB35LrH7yLrfraeVc2/3Hq/Ro66qrU2wOR9ueNHG30447EmrGHzmSVqyddSa51DfunnE2Ach0maTbcAMpyhOwa6y5Rhh2yrBYExHc9Ycn03732/vpCdmeMO+884Zbb71V4qddM34avEtf8+cOpkdBp9L/Jk7gFYVcMo9vcfhYZtD4N5VWJx144IHh17/6tfwDLMfn/HP84eecHQb+D31QQecSLfx//vOf8MUvfVHTTVbmfuELa8g52Gkn+ngB/e98Wtk0cuR5gVexSfmY/9E3UVtbMLY1LljUrbXhwRQiuPzbD5iBx1/jW1YFjLpsVDjl5FOy9scT7HvQqlDun7LV/M+w/lfbX97+av/XQdH2dfxrXiPq+FPHnxl0/9M1/srEmp+V04GJB6t4xyI91LqpjGK4l0nW3FIOdXKV5V3rwVBEauhYFVDjc1Z5q/mXNEgjSy3NZSbdvCFX0SLl/E5SSrva/nxWDNf+V8efOv76axh3jTr+ygDRMv7eQI9xHnP0MTJn0Z+u3f/vgO+HrbfmR/R0nLb3oomF8kicX/3ql+FDH/6wVMk7njD57v77h8U/vjg9MnZN5/V/7Bh6FHSfvagOnSzhF9rvv99+Uo9G0z0bdt1l53DvfffLqVtg/gXoccvRwpOfxbs4/k99/fWw0sqryO/iZWZ77L6HPM7qyAT1/J/PXwU9mx4FjfF5Bd2sccUaR7581KW0Mm6YFOVfuPc++4YddthBq8KeieQ7h94xN+LcEbJKg0accNddv5H3js2o8XfwoIEUhT9eQO9Y81uMj+P3LsZvJv659BGJc+hdWrzx8XN8/v/RRx0dvvzlL4udjLTRzl1/H3nkz/KRg9E3jw701AS9kk3Pr/KYz+2Gptio7fT07wnrrrOerFLkx0b1zAiTMFeeW7h0trXE9/43c/w1fsr/+HH30AQa9VU+HXy6RfQLm26ySTj88MNoBRt1tpat5r/ef9T7Dz+GcSeJunQv7WO8580z6/ijudHMeKwW2UviaOeuP877pq5/Nf8+5x67DL8P868r1iQfmhSDnBf0YJejLii5Q5FMaZZouC1obKYNQrOO0pIVyZSSqTdkbLXDq/EpGZIEvU2dRv6aGS1yOo3yDbeEll2Nz+2ykaC2jOe2rEim5DzWGm421PPPSajtD02BZBogWel9y9pUpjTLNdy1/c1U/e9FeqxxnXXX099Mkx+fXXbZcMFFF8qJ5mvqMUf/IFx//XUyIcIfCeB2xBNxG2+8sXD4dB922KHhlp/fQu8m2zN8eydaydIx/sgk3d788QLumz3hRz/6Udhoo42kHr/jOnfbbbdwL73/jSdkFlhg/sCTNm3b6/ROtpVWGkw/i38tfbxAHi3dUbA1RS5Ibvl4Aa1YQ3y8Y43dvP3gBz8M19N75/hl7bytsvLKYYmPL0lIJ4Rw/OweT6v8Hn300cjsCdfSu970fXJE7zh+rvONbByd37HGRyQfL+BCrLRs+kudmw3TiP/iCy/ShyTGhMf++tfwrW9+M8w2++zh7jF3h3323lfC4Pg55Dd3+FbYm87ZG4n/97//I1xCKxav+enVct54Yo4n02Sjyr7yla+EHb65g3yQQo3t++yYMqXJb7jZMI3jb9aSW7I6MyXnsdZwz2TxecUnv0Pxtw/cHzb5yqZh4YUXCv+ij5YMGTIkfnGXW4G2/xU+v0I46+yzwuyzzW6JmNmP3w7EgeyYMsWRImy42VDbHydB+oakgnPVMX6xq9yynGZKyZz5+1/ziIpjqsevKepoP430sKH2P05C7X9oCtyCOtoPu8ota1Ok9KPHEvjW123SyqLu6NHsvUxSvcOJWsndQw1Xb2RTKS7trUr3ERjzRr+wI4SaO5xaWMrW+D7TMV81/7X9uV6p3QVtgzXGvNX+V8efrBlIq+CdtpbYZnzTMYaS6vj73hp/v/e974Xbb7+dF6PRPwT3hJ/97Dp5TPO/r/w3rL766nL2ZU6N2wT9t8rqq4TTTztd7JOnTApr0ocMeALlyquvCUsusYTYdecbUU/8KujeaGjhuKFDwwbr0aRe3JSte155Nn4CPaJK24L0aOpNbsWab39Te2jF2kr0qCrF5wcX9+LH1HhyT7Y8vn4V9CyLP3bcuDCrW3nDjy7+7ne0Ss6NkbEint/T+3Wqkldd9ScD1y6V0b+eX3bppWGpZdIKLC2Xx1fbGxt/Bw3Uxy7bVqz547eDoV/jW2VX/Jvo8csjjzhSD5F+95GHHRZWo3PM70njL4Hy+cfxr0GPdJ588slhFv8eOnL3Fp/f23fCiSfS46S/0oTJHWlPWG211cJBBx1EEzeL2E/22eHfq3qKz6ehsU0jfl7ER2DM2xvLf/wxWsTv30PxH6IPSey2885hEr1Xj7cv0WT50UcdKRPk/Aiyzz8/snvJxfThio/O0+v5r/kvtGDkHAAAQABJREFUGoslsbY/zUztfxhb/OjEuVE9WksnmhXZext/a/9DolJG1cIJ5a22v9r+smYgrYJ32uVix4uC7XRvSevwqeGIzTnYia3DDPc0ZVaeFd6sN6tX9hlRabzvMCfCNFBWnhXeanzNg28aWaKim0SHORGmgbLyNf+ardr+YqvR1iH7rKGkRtVhToRpoKw8K7zV/Gseav+XxiBtJGsoMT0kOsyJMA2UlWeFt5m8/f3iF7+gSY8D6TjoQOiY9qGX1+9AK5nuuOOO8F36suMiiywSdqY/wI85+miavNLDveWWW8K888xLXwP9ZTjo4APD0sssHS4bNUq8kqMsUZykQF8FvUe+Ntmfg1CsoUNPCOvSRwratr3oMbR76HE03vidb3gUNKuWlKl0y7PSyoNjFfQxBCq3I02sYX4oOkScN3JkOPPMM+mJUY0/duw92aTRxl/eODz1r6fkdPIk4yGHHhKWW245q4JPM46fjRyDJ7MY8JdQ9bHSGXP/1TWxRiHz5iY/hHe8qVf2GVG9vOd30I2nr7Ny/vkYP/GJT8g74saPHyc2SQ3x+AuxF118UfjAB/hrp2nLqmWFN0rBE088ES6+5OJw1ZVX6a8gX2xOSpCK+4VN6FHCnXb8ltQvZadz1xVfq1Gv7DNiCtJhToRpoKw8K7xxw5BNvbLPiPDjDCV9elFWLSu89TH++fRRiTPsK7lUGZ2wzb+2efjptddK20j1hnApTRzrF1+LcG8ivvz26dzNyOOfztBCr/Hr+c+6G7eKzDBjxv+utlnbX5Humv8iIbX9SR/JOkrqTR3mRGhBNLHGt0q09VaaKfGOR/4VtqWiLlOqtu1fR12pRHTGCGv8mv/a/qSP1v7nrgnNkaJhScNKHX+aq1NculKinDHCOv7W8bcYfydPnkKrzr5g9w2f+MQnw5VXXkGPeB4Wbr7l52H3XXeT966ts+469DdEf+JNDd8/+KCw1ZAtwwEHHBB+/etf07vS9g/bbb+dNrKO9jfm7rvpsUJasRbjn3DSifS+rXWabZQse++zdxhz9xhZKbZgfMdaqjb1/6nyKOhKVgevWNuRX6xuf+yYi75Wem44i74KivhjaeIO71hj1m50nBPvpZU6UriHJv6GhvUaK+qYmeKz1tjSD2244rLAaY7//Cgob37FWqq27/GPPuqocMONNxbxOVlUewwwYMDcNJFyCU1+LSa/Abu2+Jx/fqT3OnqEljepiYibbLpJuOH6G+T8fZlWQvHEqPrISed/s003C4fQI8SzuBWDiNMl2+K3chOx6a7jn7X/62+8QSbL0d5x/k2n7PE9ytDjjg/rr79+chOq15/0zE6jkdX2p02okRhuUNr/uTHV+9/uNLWmjow8hvJAXftf7X/aFqRB5Ls6/qCj5HlhrQ/jT8ujoLFeqYxx+6no7TzwAGhba/FYmkTnQFnjx9S3JlBS3O6hzNf8W/Nrb761/Unjqv2vjj80iLSOI3X8reOvNIzW1iGXmCOPOMJWhfGAy49NyiOVNK5cddVVYckllwzf+3/8yOgd1MZ6wudoJddpP/4xvZ9tHWL3o0mU68PHFl6YUMsW29/dNFG2zz77CIdH7ZNOOimsvfbarde/vb9DE2v0HjB22oq1lsrlUdDBKxOP/tigCRte6bbTTjvmPyLGHzHi3HDOOedY/Hvoq6CzzCLr18R2Ij3CeMUVV2hZisuPLvK7pmxria8XaHIQf0be/9iKtfHu4wUzIP4FF1wQzjj9dMk5HxdX6VfhsY3zsA4mPPlEYWuJ//s/PEDvadvR8j/vPPOEH/7wh2G++ecLW225ldR/2WWXhWeefYYmag8PzzzzjOV/1KjLwjK00pFDtFStUacR/63KPw7ZEsWG1h8Zfz2JGXn+3474v/vdA/ROxB0b519ix8PadpttZdWq2N5jx48cx0OFmkt2YqvHj0w4GbNHYmZr/ziIev47hjZOUG3/aCYdSartXxLzHu7/9iiotISW0SI3pQZhdzq9XDhQFtJaW2ZwioPg5qaowQgJskl1wA1ZuKPqvA6Cm5uiBiMkyCbVATdk4Y6q8zoIbm6KGoyQIJtUB9yQhTuqzusguLkpajBCgmxSHXBDFu6oOq+D4OamqMEICbJJdcANWbij6rwOgpubogYjJMgm1QE3ZOGOqvM6CG5uihqMkCCbVAfckIU7qs7rILi5KWowQoJsUh1wQxbuqDqvg+DmpqjBCAmySXXADVm4o+q8DoKbm6IGIyTIJtUBN2ThjqrzOghubooajJAgm1QH3JCFO6rO6yC4uSlqMEKCbFIdcEMW7qg6r4Pg5qaowQgJskl1wA1ZuKPqvA6Cm5uiBiMkyCbVATdk4Y6q8zoIbm6KGoyQIJtUB9yQhTuqzusguLkpalHceeedYX/6sie2eWiChCdBlllmqTBq1OVyf/3L224LBx58cJxf6Ecrw74Vzh95QVh+xeVlNZhNcnAleTCp9s7f/Ea+AqqunnDSiSfLxFrb/QevbBszZgwtbuoJ88+/oLxjjW9Pymqnvk6Pgq5CK9Zk8oweBd2DJ9ZoxVpJpLLDR4wIw2liDfHH3TM+9O/fX2+YyXjT6JvCkUceKb+VdxtuuGE49tgfEYqPVxAqq/39A38Ijz72aNiAVvTMNdecwqVdk9gwxZpQIaQU1o8XMJwg75nrjp//IFeJg7FKof75kUfC17fZRo6IVx/KQw4usfyl1v3il1q1nFaE6iBR5+RJU8IXN/5imDxpEr2rbdVw1JFHB24748eND7vvuYec2jPPOjusNHhQeJraE6+Yu4tWLs49YC764MWtlLO5LP9CRsUme48/vcefbnHjkeCAIC0uwHs3PvedtWlie/IUesday/HzY9AjRpwTZp11dnM3aJnBKQ7mmSw08CDhNqkOuCELd1Sd10Fwc1PUYIQE2aQ64IYs3FF1XgfBzU1RgxESZJPqgBuycEfVeR0ENzdFDUZIkE2qA27Iwh1V53UQ3NwUNRghQTapDrghC3dUnddBcHNT1GCEBNmkOuCGLNxRdV4Hwc1NUYMREmST6oAbsnBH1XkdBDc3RQ1GSJBNqgNuyMIdVed1ENzcFDUYIUE2qQ64IQt3VJ3XQXBzU9RghATZpDrghizcUXVeB8HNTVGDERJkk+qAG7JwR9V5HQQ3N0UNRkiQTaoDbsjCHVXndRDc3BQ1GCFBNqkOuCELd1Sd10Fwc1PUYIQE2SStDbWPF4AEaaQmUEo3sekpLUk3BADZDGsWpXQTm57SknRDAJAWrQmU0k1sekpL0g0BQDbDmkUp3cSmp7Qk3RAApEVrAqV0E5ue0pJ0QwCQzbBmUUo3sekpLUk3BABp0ZpAKd3Epqe0JN0QAGQzrFmU0k1sekpL0g0BQFq0JlBKN7HpKS1JNwQA2QxrFqV0E5ue0pJ0QwCQFq0JlNJNbHpKS9INAUA2w5pFKd3Epqe0JN0QAKRFawKldBObntKSdEMAkM2wZlFKN7HpKS1JNwQAadGaQCndxKantCTdEABkM6xZlNJNbHpKS9INAUBatCZQSk949bXXwvrrrh9emjwpm9/Yjybbtt9OH/GcTC85l0dGM0ZPOOSQQ+Xl9xYOADKGvfM3d4Xv7rev/JHOphNOOIFWvK1LtRVE8u1F7wLjr3ayZ0F6cfpoeum+bjl36lT9eAH7+NNNe+21B73DiybW3GRRLBiGDx8RRgzXiTW28VdKZ5l1Vov/35f/GzbYcIPAx4ntl7/6dfjwhz4IlWSK//LLL9Nxfy089dS/w0UXXRQ+Q19UlYkbUCBd6RIqpUnEo6DjJ0zQOq1gyU26IQBIK6tgs802C48//ridB8k/rfb7zKc+E86/4HyaSJnVSjSrKC094QX6yujf/va3sOxnPxf6x7zfctst4dCDD5XzcOyxx8okpVRKxR/+08PymOmAAQNiNss6LbzLNmwlN+mGACBRtEUqpZvY9JSWpBsCgGyJC5NSuolNT2lJuiEASARrkccedxx90Za+4krnv9/UfmEqTWRj8vF6WoW6UGMVallp0g0BQLbEhUkp3cSmp7Qk3RAAJIK1SKV0E5ue0pJ0QwCQLXFhUko3sekpLUk3BACJYC1SKd3Epqe0JN0QAGRLXJiU0k1sekpL0g0BQCJYi1RKN7HpKS1JNwQA2RIXJqV0E5ue0pJ0QwCQCNYildJNbHpKS9INAUC2xIVJKd3Epqe0JN0QACSCtUildBObntKSdEMAkC1xYVJKN7HpKS1JNwQAiWAtUindxKantCTdEABkS1yYlNJNbHpKS9INAUAiWItUSjdRPPaONasABVjyFu96sGYXbvI46LTcyjX4zbwCTHMU2FjyVuNLpmv+rSngLg4tRdsJNEi1lnvzCjDN0WBjyVttf7X9UVuo/c+6Qu1/OjJgpMi13Kq+tDevANMSwa6q7OPt3T3+nHD80HDVNVdR/8Cx9IQbb7wpfOxjH9OfT3t+79rPf/5z0ZnFEym88mieeT9KGh+f31I9bL3jjjvpsTJaFRf73/HHDQ3rb6BfBQVTS/fIlwnlhfpUJ6+AuvXWW33FgrlMD0+s8aOg/CUB4u65F30VlCfWZEOtLAM9BjqcVuAMt/h33zUmzD7HbBnz2p9eG46ld4bhXC2//ArhrDPPIt7swvM7XgHHE3VLfXLpcOmoS2j12yzeTTiPjzpx/OZ2TK2gJwwaxB9k6KEVa/zOt/YNtWs9pjkybCx50/Z3Ga1APPmUk/Xn8YI9cvPjoKMuHUUvqF+GkC9XnlOuRzew2uJfecWV9EjpUHL1C9///gFhq622okIa/40cv3GlDCLmsrf4+S9kJm81vpxbd/176E8PhW9st318HJTyw42B+v+BBx0cthyyRcyZJK+xq/nXFtXW/jVZyFBtf5qP2v/K/ofhDS2l2W44Z+2blRFgmiPDxpK3mv+af2oLbvyv7U97BnpKrqm1H30UlO5jcooS8307A1bIogxXTf+qxQ2Tb5asuxMd56n7AlPURaqVNxfiQppDAD+yUOPX/Nf2V/tfHX/q+GvXj3r9mWHX33vvvS/suusu8ercL/zPiivI45N8Acb1967f3Bn2oVVscptBV/E1Vl89DPvxqXo9l0t3fv2eMuVl+mLk4+FlWg12xRWXy3vcwOAXovOjh3PNNSAstNCC4fnnX6DVT88T/8lwJD0yOIUeL5TYdLKH0qTfwrR65mO0eu0j9DXSR//v/8J///tKeORPfwrH0Du95NaEvhD6PwNXoA8k7CePZS7+8cXDJHpU8en//Du8+OKLYdiwYeHBBx/U2xSq+DB6ef4yy3wqzDff/PQet/nIotfXo48+Jtxww42k8S8NYe111wkHHXiQfD0T15//pQ82HHDA9zkx4cc/+UlYfbVV2UVV4OikaOuunQGrSp5Y4/i8Yo035B/x30z7n0Qr8r5BeedVZrr1o0def0iryjbiSPSf1R790x//6quvDscPPZ5+d79woE2saXUdEWLcDm+9/3vL7n+POOJI6pf0QQs57z1h2222C/vRBHh/6VTxnNX8v2X5z3tFbf8zYvzRnLbvOzJMZB3/a/w3P/63Z16tNf+tLay2v3dp/5OvgmaN1hQDvbV38YFJ11G5WYW0giCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTWzQwERfSqCCYIQeZ2xQDOblFAxNxIY0KghlykLlNMZCTC20qTUxt9KWNwrNPPyMTIocednD42lc310mryH31v6+G9WiV2ZRJk2VCj78IudFGPCGjWxaJlPvvvy/svMvO5NSbdfzpYvdQ5OEyp592Wrj6mmvD/97xv3HRDDH70Toqmphxf9+HZZZaJoy6fFQYPHCQxOeoVmesSyPRRxeuvIre03Z3OGXYKZHluK4Qx5+ICSzCr736ajjttNPDqMsuyeKvuuqqYZ6PzBP+8te/hD/+gSboqA7+KurWW29NpXQrj18PO7OC2irBHDiQVqzR8U8YPzE7/o55L6sL5cVgigHjMfjHP/4hE3Y8YTnLLLraDky0O0grCIIZcgA3P057Nr1bbbbZZg07fHOH8OEPfyQndmgoj7iQRgfBDDnI3KYYyMktGpiIC2lUEMyQg8xtioGc3KKBibiQRgXBDDnI3KYYyMlOe5bef/fsc8+HhRZZKMw1x5zULqj5UfuGNOo0qsrcphiwaroAmIgLaXwQzJCDzG2KgZzcooGJuJBGBcEMOcjcphjIyS0amIgLaVQQzJCDzG2KgZzcooGJuJBGBcEMOcjcphjIyS0amIgLaVQQzJCDzG2KgZzcooGJuJBGBcEMOcjcphjIyS0amIgLaVQQzJCDzG2KgZzcooGJuJBGBcEMOcjcphjIyS0amIgLaVQQzJCDzG2KgZzcooGJuJBGBcEMOcjcphjIyS0amIgLaVQQzJCDzG2KgZzcooGJuJBGBcEMOcjcphjIyS0amIgLaVQQzJCDzG2KgZzcooGJuCLLR0GVBKrWktlQuiVAuynVJYh2tlqtpUAWK/ozW42vdy8tuWs3afbYJ4h2Nf/6x1JbvrK2FgmZrba/2v78X+1tjSizaethkyDa1f5X+x8mcrKmgjZSzIS828ef0+mLkRdceAFNbvWE237xy/CRj/gJEf31/G60K668UibAbr/zDnoR/YDy0EVn9v333Rt22WXXMGDA3GHOueagCZzZaK5pKv3XL7xKE1gv06qzyVMmhXPPPTdcfNHF9NXR2+mx0nnCbLPMapnjel57/bXw8pQpsrrs2muvDQMHDZL4H6VHULmu2ei9YMKjd8Xxu88mE/eGG24Iv/rlL2il2qnho7TKbbbZZpEJQ47/+muvy6TSM88+Kw14gv/6ZjwafgfbJRdfHMbSu94oBHV2PX52L7b44uGA7/2/sOrqq4krFsmEslMZdma2Xq4/gwcNJG4/ehTUfRXUMlLHH8kj7er4W8ff99L4mw0gDSWNJbX9U7uv/b+Of9T5a/9vDBRi0NEijRlszGy93H/0VqPV8z7pf7JiLSXEJdSgAaF5DTkWm3ekCiPq1enYjmfQQI1PGfDZqPmnAZJGSMmJT4xrUQp7dTq24xk0IDyv1fzX/Nf2V/ufjAl+YHAjyvth/OEvN95NHxmYf8H5wior0+ONja0nPE0r2u6mlWALf2whmeBqUMTgkmjQQMmwlTHCyGlF9b06HdfxDBqYrvj/fPKf4dFHH5WvWn74wx8MSyyxZFh0sUXpUTl6QVnn5mIZNDDN+INWGiSdMZ9Y42J5HZ3hPc+KGJhm/M6/Vny93cHz32lhDdT4eYbe1e0/P835Ocx9XnM8gwaE6LV6/1Xvv+r9V73/kjHBDwx+SGmMGg2nM7hKDBpo1FTHnzr+dI0/xcRafguWNynX/lwT652TyigvsQUl1Yje5LERDKi3d46R461dYgtKqhG9yWMjGFBv7xwj1/iUCv8lN8lbS/K8yeOUSSD19s4BF+06sQUl1Yje5LERDKi3d46R6/mnVNTzn1qLoKRaQ/Emj41gQL29c4xc2x+lora/1FoEJdUaijd5bAQD6u2dY+Ta/igVb3X7w4q8CRP9ijU9B+XZEr3l5HmTx+lMAqm3dw649fpbZkv0luR5k8cpk0Dq7Z0Dbs1/mS3RW5LnTR6nTAKpt3cOuDX/ZbZEb0meN3mcMgmk3t454Nb8l9kSvSV53uRxyiSQenvngFvzX2ZL9JbkeZPHKZNA6u2dA27Nf5kt0VuS500ep0wCqbeLYxNrXQQ+Jfrib8cwaADRouyysxs+SC2Sa7EaETV+zT8/uONaiEEDvsEQ7rIzDT5ILZpraoOn5r/mv7Y/10MMGvAdhnCXnWnwQWrRXFMbPLX/1f5X+5/rIQYNSFcZRI+68vTdhAnjRGr/KfcoA6n+XPNl6v1XHX/q+FPHHzdCGDTgBwzCXXamwQepRXNNbfDU/lf7X+1/rocYNOA7DOEuO9Pgg9SiuaY2eGr/m/7+RxNr9PZhuhmzzTJswFwlyBm4AYuszElKfLEFlk+mujJiOu/WABKzRHnJGl87QM2/ZCBrHLX91f6nL1ao4w+N9m64dwOuDhzWbwyUw67pOaOOv3X85RuQuGWNg5R6/ZfbrLdy/BkoXwXlibXxRbeu+a/tr17/eHB6K/tfHf/r+F+vf/X6Lxmo9z9uWun9d/9hK9aKOzGa1sJlIiHcM5vMGo9ZG1NioKn0+1SmxkeWNCcp6wn5bAnOi5i7NENX6fdWhABYaktRE/JswXkRc5dm6Cr93ooQAEttKWpCni04L2Lu0gxdpd9bEQJgqS1FTcizBedFzF2aoav0eytCACy1pagJebbgvIi5SzN0lX5vRQiApbYUNSHPFpwXMXdphq7S760IAbDUlqIm5NmC8yLmLs3QVfq9FSEAltpS1IQ8W3BexNylGbpKv7ciBMBSW4qakGcLzouYuzRDV+n3VoQAWGpLURPybMF5EXOXZugq/d6KEABLbSlqQp4tOC9i7tIMXaXfWxECYKktRU3IswXnRcxdmqGr9HsrQgAstaWoCXm24LyIuUszdJV+b0UIgKW2FDUhzxacFzF3aYau0u+tCAGw1JaiJuTZgvMi5i7N0FX6vRUhAJbaUtSEPFtwXsTcpRm6Sr+3IgTAUluKmpBnC86LhMG0Yo1N4+njBfYHHumgqfR7XyNYaktRE/JswXkRc5dm6Cr93ooQAEttKWpCni04L2Lu0gxdpd9bEQJgqS1FTcizBedFzF2aoav0eytCACy1pagJebbgvIi5SzN0lX5vRQiApbYUNSHPFpwXMXdphq7S760IAbDUlqIm5NmC8yLmLs3QVfq9FSEAltpS1IQ8W3BexNylGbpKv7ciBMBSW4qakGcLzouYuzRDV+n3VoQAWGpLURPybMF5EXOXZugq/d6KEABLbSlqQp4tOC9i7tIMXaXfWxECYKktRU3IswXnRcxdmqGr9HsrQgAstaWoCXm24LyIuUszdJV+b0UIgKW2FDUhzxacFzF3aYau0u+tCAGw1JaiJuTZgvMi5i7N0FX6vRUhAJbaUtSEPFtwXsTcpRm6Sr+3IgTAUluKmpBnC86LmLs0Q1fp91aEAFhqS1ET8mzBeRFzl2boKv3eihAAS20pakKeLTgvYu7SDF2l31sRAmCpLUVNyLMF50XMLWb+Kij+FSerwhVS6PbOJz9IdP7nIKrb39GxobdPMMWfUuPrKpKaf0zmUsNwbUmh2ztfbX+UDMlH7X++zejQwrmhvGRjUhx0nKjjTx1/9CWkdfyxNQdujFXo9s5Xx19KhuTjnR9/Bw2kR0HpZ6SPF/Bvq+NfHf/dxa4F1utfvf7V6x8P4/X6X6//8Y8Fd4+j0O2dr97/UDIkH+/8/Y/+Dn+B49/2ztz/uBVr/gcRzhoP+7whDkHeZMXd8GR+A7Eap1u5AjQo3lDjyyXAp8TSV/Nvl0fLj4Ha/iQVLh/WbgrQoHhD7X+1/9EtmG8S1nzq+FPHn3h7bu3DQB1/JRUuH9ZvCtCgeEP7+MvvWON30YybMFHnkqyIgZp/SYXLR5F2UxsUb2jPv5at418d/+r4J9MT1mUM1PFHUuHyYQNOARoUb6jjT73/rvff7+q/P3S9Gndq7bh5942LPbxR+r8zCFSd97zFOV9CiQcEKcRspx7vN2wABZxBoOq8563G1zzU/Kd2AgSJDCWpHu83bABsZxCoOu95q+1P81DbX2onQJDIUJLq8X7DBsB2BoGq85632v40D7X9pXYCBIkMJake7zdsAGxnEKg673mr7U/z8Ha3P/4qKG8T6VFQ3dJ5AoKMBCfU4/2GDYDuDAJV5z1v9fxrHt7u81/zr3mv7a+2P82AjkuMgSCRoSTV4/2GDYDtDAJV5z1vtf1pHlLWE3KZAynKlEPkz7gGUMQZBKrOe95QPkVNyJVUsu1THShvXAMgO4NA1XnPG8qnqAm5kkq2faoD5Y1rAGRnEKg673lD+RQ1IVdSybZPdaC8cQ2A7AwCVec9byifoibkSirZ9qkOlDeuAZCdQaDqvOcN5VPUhFxJJds+1YHyxjUAsjMIVJ33vHF5WbFmNAPip19Dhvima3MZiByI0t6qwxhlLtLRW51EqPElG8icXSGQI0gjREOrDmOUuaj5R3osp2So7U+yYakxgCT11t4cR8qhcJS5qO0P6UHa6vhb+18df6Q3WNcwgE4SZWlv1WGMMhcz/fgzePBguj3o0UdBcahIk+gw5gcOa+Peoo4/dfyp408dfygDnWNENr5A8QWiTSpALVHmwgVBGSLU9ifJQObSiYg5gjACckcSMwRsEj9IUeai5h/piSms8x+UkNr/pDVY0zCARhJlYU+PgrqbKF8EfEjvA06+hOCDFE/D7Qw1vjVi5IwlMgTpfcDJlxB8kOJpuJ2h5r/mPw6iaDMs0UIgvQ84+RKCD1I8Dbcz1PZX219tf+guJtFDIM3hQPIl5NwCxdNwO0PtfzN9/xs0aKCc6wn0KGi51fNPp9c1d82PM9T2P9O3/3S3Urb+6HGnu55/zoBLSG3/tf3X+6/GwIEeAtkgZL2omyWehtsZav97T/W/NLHmW4w732IudeM2HU2LkRMgUg/d5cQ3ESQ7UFlJqYPnLwzR1km1MgRq/Jr/2v5q/8v+Sc8NEOUgUupGbTqaFiMnQKQ6/tXxv17//D+pp+7RuKx3dqqmo2lx9QK+R/vf4EGDw1RKXnoUFAdcyPfo8fNRvp/Pfz3+ev5r+6e/z4vhrqHW8a/ef9a//+rff10jRTmIlroNKE0HLPnEGlmzjyh0zKK21asVotrIgCqSd3zhSy/dgzuy5apY47sLQ81/6yy2by/oG9qWihYFVSTvavur/a+OP1i5ge7h+1Mdf+v4a3+Y1OvPTHX9GTxwID250S+MxzvW0MHr9Y/OY73+1/ufev9X7//q/V+9/6ORkG5ycHms978xA5SQev8/Y+7/dWKt0cLKRucIDlqD7CtAXZCuntzkNAcdvW8QdUG6WnKT0xx09L5B1AXpaslNTnPQ0fsGURekqyU3Oc1BR+8bRF2Qrpbc5DQHHb1vEHVBulpyk9McdPS+QdQF6WrJTU5z0NH7BlEXpKslNznNQUfvG0RdkK6W3OQ0Bx29bxB1QbpacpPTHHT0vkHUBelqyU1Oc9DR+wZRF6SrJTc5zUFH7xtEXZCultzkNAcdvW8QdUG6WnKT0xx09L5B1AXpaslNTnPQ0fsGURekqyU3Oc1BR+8bRF2Qrpbc5DQHHb1vEHVBulpyk9McdPS+QdQF6WrJTU5z0NEFDqaPF7B7AibWSkKpoy5I589NTnPQ0fsGURekqyU3Oc1BR+8bRF2Qrpbc5DQHHb1vEHVBulpyk9McdPS+QdQF6WrJTU5z0NH7BlEXpKslNznNQUfvG0RdkK6W3OQ0Bx29bxB1QbpacpPTHHT0vkHUBelqyU1Oc9DR+wZRF6SrJTc5zUFH7xtEXZCultzkNAcdvW8QdUG6WnKT0xx09L5B1AXpaslNTnPQ0fsGURekqyU3Oc1BR+8bRF2Qrpbc5DQHHb1vEHVBulpyk9McdPS+QdQF6WrJTU5z0NH7BlEXpKslNznNQUfvG0RdkK6W3OQ0Bx29AfMVa+ZuKd1iErrYndOgAZsZTpZy4s4CR+CZ3aYanzIgqXL5Mmig5p/SxKswUkZyLO0o23lmdLSYxCN25zRowOImS43vc5GlPiU1N3cVELtzGjRQ80+ZrO0/73OpdeTNTLUWb4tJuGJ3ToMGavur7e9t6X+DeGKNmt3EifxV0Nr+8G/PyAQk91uPWc+3Fm+LScqI3TkNGrBYyVLj+1zkuWetxdtiqvlHqlxyDBqwbCZLa4YlnbrzzGhuMYlH7M5p0ECNT4mq9195m0utI7avTLR4W0y1/VEGJC8uOQYN1P5HaXq7+x9NrE3t6aH1f3hvYTodqaXDBskeYMjELpFneAwefceqxq/555ZPW3sL6e4YbXytCXvP8Dj5a/ur/b+Of9of2ntI7X9dF+a2fGFkaWa0jV2vf3X8nTHjL0+s8ZavWPNtzmNtnXzFrfmfMflHRnPpc+4xWDX/tf3V9lfvv3Q8aB8h6v1Xvf/K/zZGO4HE1aQpPcNjMOv15624/rgVazHpIvwJ8HY+Gd6Hk/PGpZUmkD3Pi3qFYKwUz0wG3nhQx7TSBGp8HbA1PTEzIixLNf9Zu+RM+dxo5qZnb6UJ1PZX21+cT07tShqItZLCzi3N+1ifvs1KE6jtr7a/2v7Qf2LPEGG9hJzezlzvQ9k3Lq00gRnd/3RirR9NrI3v/EFvZfzOoM5R48cx5y04/y7NnbDmv+Zfxvza/mb4+NvZ6Zyj9r/a/2r/ow7xHh9/3MSa6/163LJ8zqxFIvx7jXWwsCEj3XuKiWZEqaZ0A881Oq4FyEGDQQZ/I1rj0wAVk6q5chkDFFnzX9tf7X91/PHjKwYIb8txg0GGOv7Gm0JKVb3+1OvPu+36O4i+CsrbhPH0KCgPePX6T3mo9z/1/qfe/9T7Hxka465xd+OdghuMev9T7/+oE6Ef1fu/ev/X2/2fTaw1bj98y2kMO3zP1rxcJxqGJcjogQrpJtga9dX4qeWmxBpq5Ms8DJBgyOiECmm8lvNZ81/zj5Eja1uq1PZXx7/yz5XUTDDAQNbxRzKAdEDW8ZfSoreqjfGkXn+m+/qTHgXlFWucV2to0vxMNbMBchXjWc3/dOdfk8x75BUyeqBCGq/ef9X2V/tfdj9Rx586/tS/P9IlpUCN8TLz4wIDWa8/kgGkA/ItvP7241es2TRskX9W6QVs8gl3wbTDjC3rfrPfCmNhKFRhia3F4U01fs1/vzjA+naBZgbZ8BWGQq3tjzIgOWlJjDfV/lf7X+1/mPyp1796/ccVJ5d+zEwXl8Rp+MklthaHN03P+LuS/yqorwSx0s8RNKPjZ22jxs8GiyIdNf9oky2J8abpaf+1/bkO7pOIXDs3Q6EUPLNHbs1/vf+r93/1/q8cF+LwYKIxjBSGQpVyYmtxeNPMOv7YijXNkD8ktnjdY2Vn7mhCGWXT3j8/BE7nv0aUMbzucY0vGWhJSc2/JsX2tf1lN/jabig7rf8aVDYor3tc+1/tf5SBliYBo7poX/tf7X/ZX7zcbqhd1PEnDqJelB3K6x7HMoVpMD0KOpX+N3HCxNg1iVD7X+1/tf/5TlbHnzr+1utPvf7mY4JoxQU1u8EtfVSgxQSjumhfr7/vy+uvTKz5WUFtGNzK4tVYWog1E2l+uE4na24Rkt8xkVtha2cmj1sVV+NLsihfNf/ShKSRyU7GMbblrU19wm0f6WKTIl5tf5qmYl/7X/pXyTr+cH/irY4/kgYZXnSMKTITRxv1CbeOP6ndaEJSWjg3dfz1WTE8o8bfwYMGUpb54wX0jjW/ScOt+a/tD3dOvnHU++8Z1f/03qElx7X/UYOr408df1r6BreM+vc/NQ3kRgYLykrUWaX3hLJeeERXqy8LTEWwSUHaWQw4VNb8z/i//3TFmpw32enJkhNBSW85R/kpSVpWJFMSB6jhZoNrPAKZXOMjZdOUWU4zpVm04a75r+2v9j8ZcKwrcLep409z8OiwZGNKpjQLNNyW9Hib0CA06ygtWZFMKZn65w9b7fTW+HX8ew+Mf/yONW7T8vGCrIGzkrZG96jtv7b/90D75xYuY3qjgae2z6jhru2/tv/a/qX3WFfgjmI3SKz0vmV9KlOa5RpuC1rv/ywVnLaa/2bj6bBkbSpTmgUabkv6jGt//egVa7xY0W0SJeruJ0Sz9zJJ9Q4naiV3Dw1c6eWUqKXtFXzwoXaW9As7Qqi5w1njawYoPTX/tf3V/oeRLo4XNKj4VmGdxa5ozOOtjj91/M2agbQK3mlLiu0Jzcq8EZC9jr++pyFRtf/5rGhrQW5YY8zbGxt/Bg0cJNS2FWu1/flMI8e1/fmsaFtDblibvvaHa4TW4/ZUTW1/PtPIcW1/PivaYpAb1mr705y8sfG/9j/KFm7xNXG6r+NPHX/f5vknWrE2lZqdm6lraZh+qPPt9Y3irDwrvFkc9co+IyqN9x3mRJgGysqzwluNr3mI2ZUcZYmKbhId5kSYBsrKs8Jbzb/moeZfGoO0kayhxPSQ6DAnwjRQVp4V3mr70zzU9ieNQdpI1lBiekh0mBNhGigrzwpvtf1pHmr7k8YgbSRrKDE9JDrMiRBR18RaVp4V3mr70zzU9ieNQdpI1lBiekh0mBNhGigrzwpvtf1pHmr7k8YgbSRrKDE9JDrMiTANlJVnhbfa/jQPtf1JY5A2kjWUmB4SHeZEmAbKyrPCW21/mof3aPtLHy/Izn48Zgi87JI4be/iA61Npmrb/nXGlUhEZ4ywxqeOSD2x5r+2P2oGNiY3e0rDkrpV7X/Nfx116UqJcsYI6/hTx586/tbrz7v8+suPgvLmV6ylYa2O/3X8T2vW45UtidRQkg2oXv/q9a9e/+r1711+/cNw5WUa1ur1r17/3r7rX8ujoLFZysWUcfuf8anB+maMss7WWjyW7q2j1vgx9a0J7H0WndOLrbV4zb8kt7a/7onK2v9q/5Oxo3UAqeMPja/tmSFHHX9x9elIUr3+vBXXH1uxNt59vKC1kdb8vxX5t0Zf+7+lon2QrO2vtj8amKgZdC7UqPef8drZOoDX+y8aYdozQ446/tbxFxlobSRv/fXHHgWV3xHj4TexzE3pB0mrzp2umDrghjRCZnCKg+DmpqjBCAmySXXADVm4o+q8DoKbm6IGIyTIJtUBN2ThjqrzOghubooajJAgm1QH3JCFO6rO6yC4uSlqMEKCbFIdcEMW7qg6r4Pg5qaowQgJskl1wA1ZuKPqvA6Cm5uiBiMkyCbVATdk4Y6q8zoIbm6KGoyQIJtUB9yQhTuqzusguLkpajBCgmxSHXBDFu6oOq+D4OamqMEICbJJdcANWbij6rwOgpubogYjJMgm1QE3ZOGOqvM6CG5uihqMkCCbVAfckIU7qs7rILi5KWowQoJsUh1wQxbuqDqvg+DmpqjBCAmySXXADVm4o+q8DoKbm6IGIyTIJnvCww//KfzmrrvC5JdeCs8+/3x4/rnnwnPPPR+eefaZcM1V14T+s+CK7ypxEFXlpqjBCAmySXXADVm4o+q8DoKbm6IGIyTIJtUBN2ThjqrzOghubooajJAgm1QH3JCFO6rO6yC4uSlqMEKCbLIn3HDDjeGJJ58ML/K5f/HF8Nyzz4Znn30urLnmF8Kuu+zq/ipwlTiIqnJT1GCEjOS0Ym08WeLrPQgVtMLgvA72JT7KIACqgzR/ZnCKg+DmpqjBCAmySXXADVm4o+q8DoKbm6IGIyTIJtUBN2ThjqrzOghubooajJAgm1QH3JCFO6rO6yC4uSlqMEKCbFIdcEMW7qg6r4Pg5qaowQgJskl1wA1ZuKPqvA6Cm5uiBiMkyCbVATdk4Y6q8zoIbm6KGoyQIJtUB9yQhTuqzusguLkpajBCgmxSHXBDFu6oOq+D4OamqMEICbJJdcANWbij6rwOgpubogYjJMgm1QE3ZOGOqvM6CG5uihqMkCCbVAfckIU7qs7rILi5KWowQoJsUh1wQxbuqDqvg+DmpqjBCAmySXXADVm4o+q8DoKbm6IGIyTIJtUBN2ThjqrzOghubooajJAgm1QH3JCFO6rO6yC4uSlqMEKCbFIdcEMW7qg6r4Pg5qaowQgJskl1wA1ZuKPqvA6Cm5uiBiMkyCZpbaB9vAAkSCM1gVK6iU1PaUm6IQDIZlizKKWb2PSUlqQbAoC0aE2glG5i01Nakm4IALIZ1ixK6SY2PaUl6YYAIC1aEyilm9j0lJakGwKAbIY1i1K6iU1PaUm6IQBIi9YESukmNj2lJemGACCbYc2ilG5i01Nakm4IANKiNYFSuolNT2lJuiEAyGZYsyilm9j0lJakGwKAtGhNoJRuYtNTWpJuCACyGdYsSukmNj2lJemGACAtWhMopZvY9JSWpBsCgGyGNYtSuolNT2lJuiEASIvWBErpJrLnsstGhVNOOUXnGIqpjXvuGRtmmWVWqdhqAYBshjWLUrqJTU9pSbohAEiL1gRK6SY2PaUl6YYAIJthzaKUbmLTU1qSbggA0qI1gVK6iez56lc3C48//njj/A/ZYkg46OADiaETq1YLAGQzrFmU0iRiYm38hAnFv+aX3KQbAoC0aE2glG5i01Nakm4IALIZ1ixK6SY2PaUl6YYAIC1aEyilm9j0lJakGwKAbIY1i1K6iU1PaUm6IQBIi9YESukmNj2lJemGACCbYc2ilG5i01Nakm4IANKiNYFSuolNT2lJuiEAyGZYsyilm9j0lJakGwKAtGhNoJRuYtNTWpJuCACyGdYsSukmNj2lJemGACAtWhMopZvY9JSWpBsCgGyGNYtSuolNT2lJuiEASIvWBErpJjY9pSXphgAgm2HNopRuYtNTWpJuCADSojWBUrqJTU9pSbohAMhmWLMopZvY9JSWpBsCgLRoTaCUbmLTU1qSbggAshnWLErpJjY9pSXphgAgLVoTKKWbKB76KChLt6EAzHwDSBhrduFWq7uBgwPSVemgeQWY1sJgH281fs0/tYXa/qwroNPlvQcapPaecm9eAaY5Gmwseav9r/Y/agu1/1lXeCP979e/+nW4/IrLw1/+8pfwzDPPaFeiPfeq8ePuCf37zUL1oa+ZOzJinxNz7X8zY/875phjwp///Ofw4IMP+pMbthiyRTj4oIO1Iczg8z9o0GBpPxMmTMxiesVanADTHAU2lrzV9jcztj89d809zq7O9ZvmiLDV869Jqe2/tn/qC/X+xy4Fb+T+xw0oGcToUscfSssMvv43TlCWeVVq/jVLb3X760cfBaV1a5bullNRnJCMgXKQmTPwnF0/fuklHUX24jyiY5zqPsCiLlK5pnxDXMjCW+PX/Nf2R52i9r86/rgXd9bx9227/kydOjV8Y/vtwsM0ySKXWbqK3TN2bOg/6yx6PZNLV/v1y1/N2hmwQvoS1Ovr9e8dv/79/ve/Dzvt+K0wla5DfP6HDNkyHHTggW9J++OJNX4AlFes8VbPf73/rPff9e+Pev9X73/r/W+9/7X5E7oPqfMv05pgK+6lSbX8mQv33ZDmoHs93nwhUwwkdgcCkyuSj8dEaXQQzJCDzG2KgZzcooFZ49f81/bHf1BpO7Cugg5ihhxkblMM5OQWDUzEhTQqCGbIQeY2xUBObtHARFxIo4JghhxkblMM5OQWDUzEhTQqCGbIQeY2xUBObtHARFxIo4JghhxkblMM5OQWDUzEhTQqCGbIQeY2xUBObtHARFxIo4JghhxkblMM5OQWDUzEhQR1+NnDw/Bzh8vECt/Q3HPPPfQoKK1YixvKi2qKAdA6JZiIC2kFQDBDDjK3KQZycosGJuJCGhUEM+Qgc5tiICe3aGAiLqRRQTBDDjK3KQZycosGJuJCgrrWF9YKk6ZMkvO/xZZbhIN4xZrbUF5MphhwzHYI5sCBtGKt39QwYfxEuQ8zNghmyEHmNsVATm7RwMRxQxoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiQhoVBDPkIHObYiAnt2hgIi6kUUEwQw4ytykGcnKLBibiiozzakZXEqhqzmwobSWmBVJdgmhns6UtRbNY0Z/Zavxi1qQliZlJs8cmQbSr+acUZjlKStbWojmz1fZX25+sgkxtpnekrYc5gmhX+9/7q/8NHz4iDB8+3M7/WHoUdFY3sebbTzbWREdmq+PPTDf+bLjhRvI4MJ/HLekdawcefNBbcv0ZPGggtbF+YUJcsabNR1sPY0G0q+PP+2v8wdHW80+ZqO2/9n+6+a/3/3p1KPcyRuiVwlyZrd5/UOPpaj2WMgc0e2wQRLt6/X3v9z9ZsZZaQWoEqW85GxpHLIA+hgbTOVqlylKoVuRiGTQgJbxW42sfl5z4xDRy26vTsR3PoIGaf8qAz0Ztf7X9yQpJahe9P03vW43rbg3oeAYNCNtrtf3NHO1vxIjh4ZxzhtOP1XYy9p5xtGKtf+PsZ6OLnWgD9fxTBnw2Zpb2v+GGG9DE2rNy/mVi7aCDWs49m9zRGTQgZbxWHv+glQZJFfnEWlGv1NK1c7UbNDDN+PX+7w3ktYtSZtfSbqBk2Mp0YeS0IkqvTsd1PIMGanzKgM9G2f9q+3dNKYM+a5mjUBzPoAHheq3mf+a4/8l7TXHKM9WdXYMG6vmnDPhs1Pb/7m3/xcRaceLoRHbPzeop9ic66yOFUrJFbynsTR4X1ZGq3t45qVTJFr2lsDd5nGoCUm/vHHCbv1bKtRT2Jo9TTUDq7Z0Dbo1fZkv0luR5k8cpk0Dq7Z0Dbs1/mS3RW5LnTR6nTAKpt3cOuDX/ZbZEb0meN3mcMgmk3t454L6/83/uiHPDWeecTddSfdPJWHoUtD+tWGubjPX59DhlEqjmn+9Oes8RcvXOtr+NNtww/Ic+YMG/dkt6x9qBNLEmv7vlx3uTx+lIgNTrOQMHDZI2NWGivmMNTJYlW3RfOJK9yWNfl2L19s5JpUq26C2FvcnjVBOQenvngFuPv8yW6C3J8yaPUyaB1Ns7B9ya/zJborckz5s8TpkEUm/vHHBr/stsid6SPG/yOGUSSL29c8Ct+S+zJXpL8rzJ45RJIPX2zgG35r/MlugtyfMmj1MmgdTbOwfc91/+bWKtO0F48aNjGDSQMiioy85O+CC1aK6pDR79c8QxDBrwBQh32ZkGH6QWzTW1wVPj84sfXYYMGvAJI9xlZxp8kFo019QGT81/zX9tf66HGDTgOwzhLjvT4IPUormmNnhq/3tz/e/c884NZ591Tsx9Txg3blzo359XrKV/tqr599l4b7W/DWliTVasUd+zr4JaP0Qve/PHP4gm1riWCRPGZW3LZ7P2f/Q0yBmX/5TnvO5kZwQfpHpzzZeo99/1+vPmrj++NdX2h54GWfsfZyDPhm8xdfyp408df6b370+aWJtKfSrd4Kce1t3V0O1yBjpg9GZOUuKDxVi+iDoaXdrKGUjUAuWMGl8HgJp/yUDWOEip7U+6ee1/lAY33NXxJ+soLh2FvRh7Wc0ZdfztGn9H0sTamWeeHUJ/ujxPDTSxxh8vwKOgeRY5qf/81z/DHx96MDz7zHPhpZdeCosuskhYepllwiIkdUJOT0Ze8t2Z/9deey384+9/C48++lh4/MknwjwfnTcssvDCYaGFFwzzL7AApYQ7o+uQdlAGwtTXXw8PPfRQ+NMjj4TnX3hB8vGZz3yG6ljYlew+/ldf+W94/vkXwwsv0X8kP/vZZcNss80qSfzvf18OTz317/Dsc8+GuQfMHRZbdPEw+xyzNVq3Zjzfp19IfYFO7D8ef1zO2cc/vnj48Ic+bIe1ET0K+vTT9Cgonf8tNh8SDj74QFeRr8WHLeyuBGDO6AkD5augPLE2vuicxJyJr38v0jn/I53/559/Psw666x0/j4bFqC2Ux5/V/+TZMzEx4/zXcqZ5fi5/z300J/CP5/6F3WBWcJiiy0alllm6Xg4+VGkk1rYy4MnPWd09/96/ilTtf3X+1+6zNb7/3r/X//+8ReT/CqSLiqF3ReJOGfk1x9bsdZ9mcoLZPXnNZurNENX6fdWhABYaktRE/JswXkRc5dm6Cr93ooQAEttKWpCni04L2Lu0gxdpd9bEQJgqS1FTcizBedFzF2aoav0eytCACy1pagJebbgvIi5SzN0lX5vRQiApbYUNSHPFpwXMXdphq7S760IAbDUlqIm5NmC8yLmLs3QVfq9FSEAltpS1IQ8W3BexNylGbpKv7ciBMBSW4qakGcLzouYuzRDV+n3VoQAWGpLURPybMF5EXOXZugq/d6KEABLbSlqQp4tOC9i7tIMXaXfWxECYKktRU3IswXnRcxdmqGr9HsrQgAstaWoCXm24LyIuUszdJV+b0UIgKW2FDUhzxacFzF3aYau0u+tCAGw1JaiJuTZgvMi5i7N540cGc4+84wwlaaB+lOcsbJijR4FtRIMesKDD/4xnHjiieGBBx4gjacJePJtKv1NRP9iyH8Yke1rm38t7LP3PuGDH/xg+ZPDmLvvDsNOPTXMNvvsYc455uBKZSKOfw/NToWXJk8J226zddh006+GG28aHS695OLwgQ98IMxOfJ3o6xdeffXV8OKLL4a9vrNXWHWVValg346/Z+rUcOONN4aTTjo5TJo8SY4bx89Hxv8ts/RS4fvf/35YccUVJY7NRMWoU1/vCbfccnM4mz788MQ/nlCOpoFwCPN+dJ6w197fCZtssmk2Wc7H+zBNxOyzzz720QDOO+KPvvnn9CjurOHMM04P1113ndTlk7npppuGPfbcI8w/3/zk6/34J947MVx88SXhXpJTJk8mtpZYcIEFw9prrx123XXXsOVWW4Xnnnla4m81ZAt6FPRg4ZXnvzx+/nfiacUXSjyCwbRijeOPp48X+LrZhrThX15hi0VJ5JZ01AklbkR5EXOXZugq/d6KEABLbRyVz//FF18YfnLGGdb++UC+f8D3w1aU06KIVZbXlGg+cslJrBR/evOPH1DWDf39GP/2228Pxw8dGv5Dk2rof+usu14YesIJWRut+Ucrqe2PM5BGnYTQv0zmKes0g/Z+7H+clHr8M+f1r15/pu/+BwMA2nupv639n78KilnsbAhzv67xg5xPuq3olITMHrt0/JcSHGSbrPGp40v63L+5ulwqdHvnq/mnZEg+avur/Y9GFx6LbeO2QYbMZk4Ddfyp489bOf6OvOB8msQ5w9rbPfSOtVncV0G5/T355JNh669vRZMzU+Ra8KllPh2+/vWtw5SXp4Tb77gz3DPmbureOi0yL636OvW0YWHZzyxLdabx75e/+CVN2vBqKG7wtDSON27/tFJK/qmaVJ5s2mGHHcJll10WTj75ZKVQFf0oATr1RLdzRN9/v/3Dttttp37aZxMyxE99KsXH+DOZjmGvvfakCcLfWfy11lwzLPXJT4ZZaMXRhIkTw730H7brrrueVuMtTMXT9e+lF18K++23b7j/t/eL9WMLzB/W+MKa4VOf/nT4wwN/CNfd8DM5dN6tsfoa4dDDDtOJMD502u67796wyy67WHwcP/tG0kTn4YcfHh6nFWa88umTn1wqPPzww+HpZ/5Dh6XHv+QSS4ZLLrmEVq/NQRGax//Ka6+Ec84+J1x44QX6Oyhp89BE33KfX04e+3zggd9yqDBgrrnDZDqHiD9kyJBwUPHxghk1/gwaSI+C0vGnjxfwuSFDzIn8oJbdjIofE+Ui9D3+pJcmhcMOOzTc+Zs75fzzxCi3js8tt1w4hx6rnmPO2WOcZvtLP6Dv8f2xUOBSa+wAACKySURBVC0U2e0V1viSAc4xJ4gamcvLVJpYP/dc+hryOSOy8WfAgAHhkksvDYsvtljMn3YNLZ76v69Lq3V7F0eCip7H18rJMZO2/3r83KbsLNb+FxuENPXa/q1t1P7PYxz3lTr++THTRo53aPx3K9b0p9g+67xs9YZ4C+xNrqBdHs1vIFbjdCtXgAbFG2p8ybFPiaXP/XlifgM1/5IKlw/LWwEaFG+o7a+2P/oD3DcJaz61/9Xxn6dnaIvtY+TI8+hR0LP0ZlAeBR0rK6asyRAYNWpUGHbKKVKEicvTBA2vdMP2178+FjbfYkj8W6MnLLb4x8NVl18RZp2dH1vU7amnngoP/fFBWZn2xz/8gSbPLteYceZktdVXC/vuvW/45FKfCI899tew7777yuSSlKYfvPhii4f1118/LLroYmHFFZanGIujapK+sXePfz20Mu6AAw8Kt//61zqXRPWe/pOfhFVW5dVvWs2+++4d7rp7jOq05wmw3XbbzfQXaVJtL1ox9uAfH5ICn19++XDqsFPCh/jxStl6wuNPPBlOodVwt995u1iWXnrpcNGFF8kjntz+XnjuOVpFdp88VnvWWWcGnuyT5FH++1HHZQ5P3G233fak9wtT6VHOEfTl1hHnnkv10Y8mnVeWbbnlEA3pjp8f+9xn3/3C2LtosjM+0cu53HabbWXlH9f9Ej2+eOmlowK/X08SwTe+9P8h9CjoQfIoKCm9bT7dwvOG9vzzO9Z4AmjchIkcyp0yV1ag07t+Q4PiDe3xtaroexPxy/OvkXvo0eEFaZXlJWGeeT4q56+Ov5TkRjN68/mX8+hPd8PQ+/nnl8uccPzx4eqrr9Hfh5lb+q0jzx0ZPr/8cm0/XKLY7k3Er9ef/PrjBoIIG8m1tBtoULyh9/Nf81/zPzNff6QP+ObeMNT2L328kSNO1Dt//XlXjD+6Xk0TwldBnyvDBqSFSfLsii4+JfCet3StTwWBIJXp9+rxfsMGwHcGgarznrcaX/PgL6jIGCQYSaYcIn/GNQC2MwhUnfe8oXyNn/IEBKmZ8nv1eL9hA+A7g0DVec9bzb/moba/1E6AIJGhJNXj/YYNgO0MAlXnPW+1/Wke0P7OP39kOP2MMyUvnKNxxYo1Zp9Pk2+nn0WTb0TguZrF6D1d11xzreZS0xuuuOrKcNLQE2iehgw0UXMgPUa55Zb0SFycYWAab8j/9df9LBzzgx+KTvNJYZWVVw6n0STXLPLhhBCOOPKIMPqmm8nTE444/LCwyWZf5eJWPobFYYhPd+aJPtV5P2IEr1LhDzVwPT1ht933CDvvvLPdVzBni803D3/729/1d9O/KO6+265h5112jiVC+NExPwg/u+E6KbPYwouGK6+4Isw+pz7ayvXiBz1LX9rcYIMNpR7+U2bX3XeXWDh+8K65+qpw7PFD5bjwy/fYY8/w7W/vpNXFOl+gCb111llH8s//0LnmWmvJ5J39+MgePfqmcMQRR2p9VOGee+0Rdtrp20Jjio9/wQUXhjNOP13WD7J9C1qxdnCxYk2r1V+G38c2wwaU6TwRKoG/CsrbRHoUVLdUEAgyEpxQj/cbNgC6MwhUnfe8+eOHhhKQyvR79Uyix2n33XvvcP/vfivH359OBE9kDph77nDRxReFJT6+BBVytQhUnfe8vZn4ruYUxRslgjMIVJ33vL3f4w875WT6h4LLKA/pjywef44/7riw/gYbuPxIuuIu5RD5Uwu5DYDvDAJV5z1vKO8LogSkMv0+1YHyxjUAvjMIVJ33vKF8jZ/yBASpmfJ79Xi/YQPgO4NA1XnPW82/5qG2v9ROgCCRoSTV4/2GDYDtDAJV5z1vtf1pHt7P7U9WrFkzMRATg39pItVcBpA8cEmmFuUKeD8KR5mLljJE4H/ppQ0lE4j1QhghGlp1GKPMhQuCOohQ40sykLmaf0qHb+exqTTyYglDW+JyMEaZi9r+kB7LKRlq/5NsWGoMIElRlvZWHcYoc1HbH9KD1M6g6x8/enjmGbxijf+87BfuuWcsrWyil+e7/D/2l8fCN+kRzclTJkv0Qw45JGz+ta9l7Z9f4r/ySitzFbKtRRM/eJwTdamH9rHugw8+ONx2222kUyGK/93vfi9su+029AGF8WFPmlzqR7N4hx1+RNiM3iuGMqkOqmQ6+t+kSZPCWmuvRcUpFuVugQUXDNdee02Yc845Y936oy699JIwbNipYuP4P/3ZdfJBAo7/GK3M48clZaM6vk2TcnvssUf6aVqF/cRzaBKPJ/P4+PinjrpsVODVa6lACHfeeSc92vpdOX7+bfzY6bXX/pQmGGfRn6q/WMrsuNOO8o47DsAfWbju+uslFsI+9+xzYdPNNqUVcHqe5plnnvCzn/2MHvkcIHUJmXexwOt8zmhCE/kfMmRLehT0QCJwjjJhOheXbTrb3+DBg6nKHn0UFD/Y6iLwLr/+TH2dVwkeGH5Nqx3L4z+bzvOggQObOcqODwrJmfD4m7+ZDmI6+h/GBc0d7amJ2Sb5QFKizEVLzogwnfEvo/538snDqC6U5SA0+bzHXmGnb3+LEP+oPHDUzEwE3awO5zIySOCSbByv40g5FI4yFy4I6iTCdB6/RUQoGESHMcpc1PhIj+WMDDX/kg1LjQEkKcrS3qrDGGUuavtDepDaOv7U/tfH8Sc9CuoaEdoVS7Q1SO8DTr6E4IMUT8PtDDW+NWLkjCUyBOl9wMmXEHyQ4mm4naHmv+Y/DiJoMyzRQiC9Dzj5EoIPUjwNtzPU9lfb33u0/Y2kFWtn8Io1au48vzWeVqz1l3es5e3/qX//O/zh978Pn+YvXi60kHQdMCC/utlm9PXJJ8jXE1YavFI4kx5zhC/1VvS6IB8i2Jre1favfz1l8U8+6SRacXUETQ5NClvQ46U8+Zb+EE5lGaFuyNyrGny/+MVt8f1h+ijMrvR4p7znDPWASDp/5fOf/3wyrLTSKmHAgLks/g9otdp11+tqNf47+fwLLgjLfe5z9js0Yto/+uij9HGALelvav2Dfadvf1smDBMjhLvp/XR70wcfkP9vbL89PQa6H1HcD4rjz6477xLuvf8+8SxI71+7afRoPxUQbib9cFqtxmU5Jn/kYMeddhJOVl/8ATKxtsrKml4KtwU9WppWrDXj+9/NGAzI0u85gwbRxBNtE+hR0HKT8o1KnOFdMP4OpwlSfhyX+wh+Gctjjjk6bLzxl2OOyyNLXI9KltSHSs3pDO+C48ckgv08AviFkN4HnHwJwQcpnobbGWbA8fPXjvfcc08Kid6o0Xki+rDDDqeVoHRiuZvaNmPjp2xZAANvx/HX+O58WuYV1PxT02+kxxlmQP+r7c/ls7a/LAO1/729/S9NrPnTULbPUjdu09G0GDkBIvXQKKOX32Q2VFZS6p3E3oYWKySkGr/mv7a/7C43dZCyv5W6MZuOpsXICRCp9r/a/94v/U9WrJ15prX/e8bSxNqs/Gdm7/2P3zX15z8/Ev755D9lEupf/34qjL5xNK1qm0R19Q8DB64YzqGJCL+19b/f02Tdt771rUTj/te/Jyy15FLhwosu1BVlydu8iLZVKvzccTj98Tz65zfbUZ108klh7bXW9jUr5vgd1/+ttto6PPp//6fPwxKPvyo494C5iz/IUWVPeIG+YLreOuvGCYh+YeDgQeFsfqTWbXfT11L5ow3YfvTDH4UNv7hha/532213fZSSVtItMP8CYTRNpNnsBlVw2mmnhYsoZ/oDp4aT6b14a625Fqr2VLHZirXIkI8X0Dvouo5faHlas/gWqIU4eNBgeuS0xz0KmrNN6yX/LdW+4fhctvzpFtOBF55/IYwZNyb8/bG/hx2+uYN8lZYnP/lrt3Ki+Y9Myj9X9s1vfjPs/Z29O89/6Xgj8bnetyL/fIjvh/ivvPKKvL/wt7+9L2xCK10XXmjhwO933JJWY75Ek/U2qhFY/vPLh7OoP/KXh22r+a/tr2P8lzZSdqJS9w0ptbbWokb1oLa/2v5q+2u9/2ntRLX/lbcZcTRpJgaWfGJNBhxXR8csuo1RqIUMCp2BSVBF8o5N9OdEtMMtDnVSh6/x7cak5p8ag2XDmokB14AUOkNsT3LdFTPvavur/a+OP3X8pYGAhpVitBDDW3H9GXkePQp6Fn0VlGNSgHFjx9HXMfk7h+5ap4NTmESPgv7ql78Mv6T/7qJHGHv4WUlhMoE2Hg6pIIsVVliRXrZPj0GqiWxFjVBJXjqKHr88dZjE7ycH2ROupsc0l6CPINhGvDdz/F/e+Evh30/9W+rgS9d5I84NK6y4gv58aXQMu/vfa6++FlZedRU5Nv5NdHMS7hozlv4oTx9osN/KgGLwo7Nr0sSWvM2J+PwhgnvGj6MPoVLeyM+VjaU6vrP3XoI5/0OPG0rveloP7lQl8XenFWgTxo8X24Lzzx9uuvnm5CfEK9TG02O0chqIz6sRP//5z8e6YkCUIHUqfcxhJXl8lxQqtDl9vOAQ+igC44IthjeT/8H0qCQf/3i8Yw0BRPKOQ3Tnn3/Qm4nfW/vTm74QbrxpdDjqiKPo+OmMUQ6OoMnY1emjGltQXvhRYh//C6uvHk46ZZh8EEJ+fLnD8clxcUqdgblQRfLunT/+dzr/bzb+w396OOxCqzqn0KPQ3Mc3/vLG4aijjg6777F7uJfanXxdmNs2+RakielL6LFv/louzv+bjS8nETs5r6oodAY2QxXJu3r+a/7f2fGv5r/mv95/00D8Ftz/vJuu/zqxhguQXHp0l5uc5qCj9w2iLkhXS25ymoOO3jeIuiBdLbnJaQ46et8g6oJ0teQmpzno6H2DqAvS1ZKbnOago/cNoi5IV0tucpqDjt43iLogXS25yWkOOnrfIOqCdLXkJqc56Oh9g6gL0tWSm5zmoKP3DaIuSFdLbnKag47eN4i6IF0tuclpDjp63yDqgnS15CanOejofYOoC9LVkpuc5qCj9w2iLkhXS25ymoOO3jeIuiBdLbnJaQ46eq/wvPPOk1VUfFNNUy30jjWaWONHQVFXlDyZdvTRR8v7u+AaMGBAWHf9dcOKy68YFl50kXDoQYeEZ559RuKtuCJNrPH7xd7A1jN1avjmt3YMDz74e2LTzS3tD6d3q/FjWvY7XD2IryanOejoAtdac83AL5/HNnLk+TTpxF8A7NhQV5TPPvssfYxgAyHDddddd4U55uDVLvyLaYNDNcnVmhSXN2aw+4YbbrBHadk+ZuzYsM93vkM+zf8JJ5wY1l133VSXq3Ovvfai83OP1MOPgsqKNRd0Q/pYAvLPdV944YXhs5/9LMPWjd+LtxK9Y01/Wz969PZr9OjtIcpFXEhXQ25ymoOOLnAwfbyA3RMwsVYSSh11QTp/bnKag47+hiHyK/mguj7xyU+EeeeZL4yfOE7PR6yJv0h78UUXhQ984ANkcUEdfMNBu4ioC9LxcpPTHHT0vkHUBelqyU1Oc9DR+wZRF6SrJTcl7Xzq02ecSf9I4LbN6WMk116rH1phJjb+Ku6nPrUM1KZEtZCOkZuc5qCj9w2iLkhXS25ymoOO3jeIuiBdLbnJaQ46et8g6oJ0teQmpzno6H2DqAvS1ZKbnOago/cNoi5IV0tucpqDjt43iLogXS25yWkOOnrfIOqCdLXkJqc56Oh9g6gL0tWSm5zmoKP3DaIuSFdLbnKag47eN4i6IF0tuclpDjp63yDqgnS15CanOejofYOoC9LVkpuc5qCj9w2iLkhXS25ymoOO3oD5ijVzt5RuMQld7M5p0IDdFiVLdqtkURPwzGhtMdX4lAHJi0uOQQM1/5Qm/NHFkreUHdXzfYu3xSRlxO6cBg1YrGSp8X0u8tyz1uJtMdX8I1UuOQYNWDaTpTXDkk7deWY0t5jEI3bnNGjgfR9/xLnnhnPOPtvywBM3/I41jEWcR3131xFxnJJ/16ZVVnuHbbbZRh+jiuncjN6x9sTjj1NdPWHFFf8njBhOE2v4J1CuyNJuQExPPvFE2PrrX5eVJkKj4FzsqquuCksuuSSb3JbKmrHFJD6xq3PDDTcMTz9Nk35UN6/HO/HkU+hRUF5NJiaTXA42qSPuXqTHOtelr3LK6jOqhDm/+tWvwoc+9KH2AuR/4Xl6FHS9tYlLQWnjlTL88vsPfYgnZNQ2ZswYesfa3hbzxBNPDGtTHPVKMdvtQzx+LJGnHue3iTWuWKvjY+SvkfJv5PpP/8kZYZVVV1In7cED4EdB08RaCEO22ELeaRer4xItW4u3xSQFxa7OQTyxRnDiRP4qaCoABMnlPJZ6sl2Lt8UkRcTunAYNWCy2HEMTxzzxKSvT2EBbYuoZm4veuceTMosttpgSSlKyxsKuBoMGrP5kyWP66hR7ZvS2mMQjduc0aOA9FZ/PHZ9DtH8+kf3ooyi+/3HHOuH448J66+eT5CkjNf8+F7X9lRloyU6L6f3Y/8pM6eDikmPQwHtq/KnHX2RATnM613ayEzDkWGYraouqZ3abxFPj002Ly1eENLE2tYcfj8ATd45iOYcNkh3AkEZuAM/wGES6RNf4Nf/xr5z2FqI33N4HDInW1JSe4TGYtf3V/lfHvzr+63jQPkK8ufFnBD0SyV+vlAswXevG2ccLOGZPePzxJ8NXaeUYx+6hE8GPQJ5J72RbaSWesMmvtRvRxM4zMrETwv/QijV+4XvbBJEUjKVfeeXVsDN9XfPBP/6BA0SXHunSSy8Vzj+f37M2R2Trsabyefy8dPIxn7/eOT4+Rsm18yOPWwzZnFBZitnY8vH3CzQRN4UeCeSNS40efXOYb4H5BftzA/yXxx6TdzvxSkAuwSv8+L1s/Eiabj1hLL3T7ju0Yg35P4k+3rD22mub349/36F3sY2ld7Lxho8XIBbL3emDDBMnTrT7n6PpYwv8CGzX9vrr9Hjryquom27A+JFH+ViEFciPH7HMTQA2SPYBQ7KNJ9Z4y1eseYbHQqXdjIuPGnPpY/aECy64MJx++ukSV8+wxu9Pp4uZ3P5POuGEsA5NfGJDDZBsB4YEtyk9w2Mw397j12NGbJYzV/wHfve7sBN9rAOZVMl9TfsfH9G2225LXx+mr/DKBiYrHqt3Zjv+NKqg9TbPKI5MpT9mj8Gauc5/Pf78rLadUZzZnMlaG7uef3/9bc9Qs6+BB5nn3Gue4TE4Nf81/zP+7z+3Yi02OhG+AXo7N0bvQ+N849JKE+B7fAzUVq8QjJXimcnAGw/qmFaaQI1f81/bHzpH7BkirJfU/ofxzlJiAImbLmmlCdTx5/0x/vB70M45iz4yQBMrfP7lq6D9Z7Hzf+0114RjjzuWPDQaEWGzr24qj2lqw4otJoqN43vMmCrvWKOJtVPoBfqjaIUPf4ig7bHEE048IVx5+VVhwNxzhcsuvzxcdeWV4ZKLL5H4PKGx1ZZbhQO+f4DFlwkouzLn8ekf4mjSit/71twuvvji8OMfn0YO/SN73fXWDScMPSEjxtrkOLn933/fvWHSS5PCGl9Yg3j96IuZB4fbfnGrYP4Jp5/+k7DKyqsKX3+S1SD1Thg/gSb0dpeVWuzfdtvt6I/6/bOY8mL87+xr+T+ZV6ytTSvjiE//j5vWyy/KHzOWJ9b6hQUWpEdBb7pJMIaBq666Uo+JCvLqsH332Td8Y4dvoJKGxFdBw1QO1hO+Ro/NHXoIPQpKZdviaxx/jBGbyUAjlk6s9aOJNX1HXINABitNYEbHb4tX2v70yCNhW1qFiePn9ic4/rLtt6Mvtu5P58rOTPzF/oebr6x92rqv5p04/pk9Pk8Ur0sfC+F3G3L7501OYTyw5Zb7fBg+/Jww22zt70Wc2Y/f9SA9+Onc1+OPPZsSUftfGuWsXUkDsVZCrStiMxmYzpandCtNoOa/5p/H7qxlSAOxVkKuiM1kAAWnS1ppAu/l9ucm1vL8WAJgLhLBF1X8o7ByXQlAkfzHBM0Ioh6RIGTGTGkwyOBPRI1f81/bn3YZ7SuuxwCKrP2vjj91/H0nrz/n0OOaI4bTxFrcxt4zJsw6S/rD8wc/+EG47rrrxMu/8+ijjwlfopeCZ7+Z+vKkl6fQFyi/IPc6/K+MK6zw+cDvb9ufVof85s7bw8iRF4TllqN3mrn+f+ttt4SDDzlU6uJHIHkl0KuvvRJ23mnn8IcHH6RoHIUe24w++RFi8TedgVaRTQ5n0h/M1/3sp2G+eecLu+++Z9hww/WFruF6wpP09dJNNtlE4/OMydQeeln9DWHBjy2UH0v8gY/RarMh9CVBLjBuHH1woH9/Wl02Vr4CiYfLdthhB/2iJwVpu/6fdNKJNFl4BX2sQP/l+eqrrw5LfHwJHBZJ+gDC3WNoAmwf+a28O+HEoTQ5sJ7pHnxH3rE2jqYGe2TFmr5jjRgx/lNP/YtWqH05rrLvCcsuu2y44MKLJL5lzOV/0uSXwpprrW3Hz4/yHn74YVRhdnb9TxCMKszRcfzsV24PrVgbLHSebIynleS7b/znieMn/vGE/O70Q0P49Kc/Te+su4DePzhrPCY7ess/slbv/yhzMRk4/5pLaxCxYcz483/ccceFq6+md6pR2+KN9+h/119/vXwl9N3c/tBj5Md37DSnzkmGtvGHGcp1JQBFzvj8S0yq+506/zU+nfOa/9r+3qHxt/a/d3//s4m1xvDvRw4+k8XW4Gf+7MqSPA0zDHxxKv78rfHTlTNl0FAjX+ZhgLxCRidUSOPV/DfyWdtfbX+4c836liqN9pJx0MEga/+TDCAdkO+T8YcfAz2XPzJAx91Di73u/s2YMPscPLGmieDHPs8beR79Lap3arxiZ/ttt2/0v1GjLqXVacNiKmlS5zOfCRfTyjN+fxi/R+wietk7T/Sg3ttuu9VelL/JV74SjjzyKKpT3X//x9/D1772VVI0Jr/X6nKaoFpk4YXJRlsx/vHLyY89llfV6cbt/9Zbbgnz0iSb30499dRwySUXk4lXtU0Na6zxhTB06FD6AAE9aorzHuVRRx0ZbrzxprDpJrRC78jD5fi53v333z/85o476ca9X5hr7rnluJb4+Md9GGL1hBdfeCF85SubyAcM2LnaaquF007jFXN5oDvp66rfpTrZzPk//lj9KmjiMdL7D3mclVd80aTgvPPOG265lVfP5dtRRx0VbrjxBppMoPfAUZ3HH398WH99nWRUpsZ/mSZCv/e9/ycfQ5Ask3n1NdcIp55yaky78rgM4lukIv9mj6DBJ3t6FJRXrMUTHc+vFEM4SE5I9Dfq60N8idEeSF0x3GWjLgsnn3Iy2fL4vOryU5/6VOSSr46/mouWfeN8ZRzkFTI6oUIW+cf4I+xezv9DDz0Uttt+O2v/CH3QQQfRRPkQUhEAcsbG59reyeOv8Wv+a/sr/l6PXVwF+j1kdEKFtHGipT31Mv7U/teSr5p/lwE0MMi3v/3141es+XsvbbS43aITyO54g1P8THcgfKJTGXEUhkJNlBaHN9X4Nf+1/ekfv75fZJ2PlIavMBRq7X/IWUtivKmOP3X86cv489yzz4Wnn/lPeOGFF8OwYafS6rA/0GVWW9Zhhx0WllnmU2He+eYNC86/QPjdA78L397p2+Rlf0+Ya8Dc4bJRo8Kiiy5q119+b9h3aZKG6+CFIrJ6goaFYTRJc8ihh8jXOC+64IIwiVaWPfJ/j4Q7/veOcO999C4wrpJKrbLqKuGHPzgmfOQjH2VDePTRv4TDjzg8PPzHh+TCzX9UL7zIwmE3eofYx5dYInyYPhjg4x9Gq6xuvvmWLP4555wdBg7U93rpkYXwyiuvhB/+6Idh9I2jAz8xyvH5HWNHHHmErADj2Nynzj2XvpRK5flYrv3ptWFx+goktqfpHXLb0IcW+OubdH8SPrbgguHHPzktfPKTS1F83Z588kl6b9pe4a9//ZsYPkcr9U6nSbUPfPCDok+ZPCU8+c8nwpQpL4crrrgy3DT6JvntfLA8Cbb99t8Ic841Z1iYVtM9/8LzNEn3Ynj8icdp8vEIyuUUjUPBhh4/VCYbF6Df8NF55hH7f19+OXxrxx3Dn//8iBzfPGQ//YwzwjJLLx1/XZD6Dj3skHA3rZbjmPqHmGaJJyCWXfazYclPLBnmmmNOyb8VJIBcsm16xp+V/FdBfSVFnVwvb0IpeGYXxvTFx7mRokW9Xp1MX47dfvvtw1//9jc5/5zU4449Lmyw4QaNotNz/G80fjy0d+z43wvxjzjiCBoPRkv75+PZht+rtt9+1Od5Qp02f8KbaqIUvLJoPf/1+tuX629tf9ST3IDY0s3q+McpakmMN9Xxp44/fRl/bMWaXOnK0SjTfXNTduaOJlxRlU17v34aHL7bbv3XyDKG1z2u8SUDLSmp+dek2L62v+wCq+2GslP7H0YjJ8sO5XWPY5EWU+1/mhTbv0/73yWXXhpOHXaKXP9kgombDOWCp1jk37L4UUlKEl40f+qPaaUXvaOMO6uyesJWW20pE2H33X9fGE+PSrJvj933CGeffZZcev31d+uttg4fpEmlEefxxwwwhUcBOCZPcFHpHxzzw/ClL32RlJ7w/9m7dp8ogyA+kQucFxvupFAqj0OiFmIUo4HC2MFfoJIAhWBLtBFKMYHYGNTKgA8uihqtAS8helAZkAQFtMRcxUXABPwOjoe/mf0e+313hQUhFLtwy75nZ3Z29jLMznbCD9nkxCRKVZ2IAz6XpbdSBLHFW3l5VNqw36SnuNLKY3MPbjmChwUq8LCAP6AOMFlpNgjfcjr8+IkqqjlZTd/n5ogt5iKHI3JFtgZXAFVQ8DmdzWZh7XWb5ucXeEoy52g0RrVnaymDvuyry8H/HB5x6O/vl4cLnMKvMzPU0X7TB78Y/dnC7T183KXTnwWGjr8zFsOvTiRoePiNmiZinkNH+y1ayi6pMky9sbERysljNDv7jb7gEQemYrQ8Riur/IooQmD921rb1KMKagRugA8j6wQ9r6ft+kBRHa6C7uBnesp5XAENANM3JHc9IN+/MpkMprILmlVSiShkAgj56BGsYzzw0cnFuNmFqgrxAcZfpuuLggjpeT1tdypStJ/4L+MF4NU/q3QcVq7hMBTEEtSk3NjQv5BHD8j+sxdM+xNkKD2vp+0uRYr2k//M/sc6GPmn8S8nFVO6sZE/hTxi5A9oUrBxXN7xGEoXcHrablGkyOE/UazpWllVwR1twNJZjcAxB2dKXqm/RLXSYumIqCgygIiFdrSCBn6AykJkiURkGPob/vPvNsUbarfpabP/XAowWXj3GPnjkkRPGPm79+fPK1GsPYSVUwz+1Epc/tuC82/+L+nv5RU++Ghqeso9/8bGPuJq50v68RNWZHzK4kshDmhcX9yly5fq4dS9k+LxuFiK9PX20TociB9C/RU4E+/puU/v3g7To8dPKBqLAmZIzun81jblLAvXJdfpHny5NTU1ydJ3dXVTCtccI0ciVFZaRqVwNg4qoG6H1tbX0N6C4myUKo7iqicmnMttwjfZA0qlUpRIVImFXX1DA3roMkdPE42OjODV0gH6tbjo4s8gGP+LsGLr7rpLlZpVnkxMO+Xy+S36ND5OyddJmp9b8Gp4mhjj1JnT1NLcLPgrZ+ke/BlRrLWL9V8Y11BDIawB73/8bmNcK7dBf/H66AAUkUNDSZpIp8UiTbXjmaAh6L+dz5O1acGvXAV9wHVYu0b+Whs5egEfd4PPntvlyi6Nu/L82lpbqQXKs6vywiUKbPiMP9P6xvVrsEK8466/DOJh6WW5A9pzzIGH5+CVqpK6C+dlXEdZq1rZDbm1kX8uSfSEkX97L/90+irGNfxn9p8juXzcsWfyz5GI/tGRE8Fp+M/wn+G/gr3B28PoX7A1HN4QYQGq2HnO/uf3L13+/AMAAP//iZrvOwAAQABJREFU7F0HwB5F0d6PJoQmIKAUKQIqipQkwE9TIXSlt9Bb6D0IgiDSkaJ0QgjSOwqhS5WqkIQAKr2GJp1QQkCS75+yz+zslS/hgyAJe4SbZ2ae3bmb2933fffbu+vopC10hhA6ZJcgmUIH78Zv49K8SZFMUbvf19wSWnYlPuewliCfvWacFcmUOr/mZkO5/pyE0v7QFLjZlP7PWRivLetTmVIvXnOX/lfGHzf+fvzR6PDkk0+FF18aEWafffbw3XnmCbPNOmvWkN577/3w6n9eCbN+a7Yw88wzybjFhK/a5y9/vXj6mafDq6+8Gt5///0w77zzhgUXWihMOeWUaXgZj/b/3LPPhRdGvBA++eST8I2ppgpzf3eeMP/881lOsj6VKUYxUHOPR3wr3ADGjhkbnqdje/rpp8OUU0wR5p/ve2GuueYMk08xeeDzv/a6a8P0000fZphhhjD99NOH6fj/6aYL0087beiYbLKQPnQ+3+dPr169JKdDhwzVo2wZv7/o8+dgWZ2ZUk9Yzc0G1/7L95+Ys5brV89oyX/WpjKlnq2au7S/0v/K+MODcPoo4m5Txp/64NFiycaUTKkXqLnL+DPJjT8dY+mbX95/5CrH1uCaQDR7L5NUb3GiTZG7kwauDuupqIXn9JJV6fChdpZ0hC0h1Nzi1AqlbInvM40cl/z7rGhzQW5YY8xbaX+l/2XNQFoF77S1xDbjm44xlFTGH9/TkKgy/visaJNBblhjzFsZf8r4kzUDaRW809ai+149e0lTGTo0TqyBRe4y/viepvni7Hmrpgs+ZJdl6X+l/2XNgBuFbNpaYpvxTQcElmQv/c/3NCSq9D+fFW0yyE1sOGIs408Zf6ghpGagTYX22lpim/FNxxhKKuOP72lI1IQbfzo6O8dSFDdTTRevuuEwqvbx1bPyrPBmcdQr+4yoNN63mBNhHCgrzwpvJb7mwXfNLFHRTaLFnAjjQFn5kn/NVml/sdVo65B91lBSo2oxJ8I4UFaeFd5K/jUPpf9LY5A2kjWUmB4SLeZEGAfKyrPCW2l/mofS/qQxSBvJGkpMD4kWcyJE1DaxlpVnhbfS/jQPpf1JY5A2kjWUmB4SLeZEGAfKyrPCW2l/mofS/qQxSBvJGkpMD4kWcyKMA2XlWeGttD/NQ2l/0hikjWQNJaaHRIs5EcaBsvKs8Fban+ZhEm1/NLFG9yrwll39eM4QTOmglkCCl7dZm4C/C5mqbZoddAUT0RkjLPFL/kv7K/2vjD9l/C2fP+Xzt/4NodWSvlZM+t8/+FZQ3vyKta/T+Tc1gnL++L4+6bf/cv3rGSjtv7R//b1e+r9fs1TrKamj1Fz0PIfy+7v8/v5Mv78bbgWN7UoaE+PmabSu2qFM0qF5NhaPpUm0TtSV+DH1jQnsch605B+Nr635lvYnjav0vzL+0PDSOMKU8beMv9IwGltH+fxp+2jhjx7+eMHWmL4J8/ljK9bwjDU+hi8xPk75f3X+JX7MwP+o/ZX8l/xLBkr7s65Qxt+UioQmzOef1V/an6WitL+UioQmfPuzW0ElaIyXDkC/I6bvZumA5II18LWsOuCGtHozg1McBDc3RQ1GSJBNqgNuyIo7qs7rILi5KWowQoJsUh1wQ1bcUXVeB8HNTVGDERJkk+qAG7LijqrzOghubooajJAgm1QH3JAVd1Sd10Fwc1PUYIQE2aQ64IasuKPqvA6Cm5uiBiMkyCbVATdkxR1V53UQ3NwUNRghQTapDrghK+6oOq+D4OamqMEICbJJdcANWXFH1XkdBDc3RQ1GSJBNqgNuyIo7qs7rILi5KWowQoJsUh1wQ1bcUXVeB8HNTVGDERJkk+qAG7LijqrzOghubooajJAgm1QH3JAVd1Sd10Fwc1PUYIQE2aQ64IasuKPqvA6Cm5uiBiMkyCbVATdkxR1V53UQ3NwUNRghQTapDrghK+6oOq+D4OamqMEICbJJdcANWXFH1XkdBDc3RQ1GSJBNqgNuyIo7qs7rILi5KWowQoJsUh1wQ1bcUXVeB8HNTVGDETKS04q1IWSJj/cgVKFVDM7rYHfiowwCoDpI82cGpzgIbm6KGoyQIJtUB9yQFXdUnddBcHNT1GCEBNmkOuCGrLij6rwOgpubogYjJMgm1QE3ZMUdVed1ENzcFDUYIUE2qQ64ISvuqDqvg+DmpqjBCAmySXXADVlxR9V5HQQ3N0UNRkiQTaoDbsiKO6rO6yC4uSlqMEKCbFIdcENW3FF1XgfBzU1RgxESZJPqgBuy4o6q8zoIbm6KGoyQIJtUB9yQFXdUnddBcHNT1GCEBNmkOuCGrLij6rwOgpubogYjJMgm1QE3ZMUdVed1ENzcFDUYIUE2qQ64ISvuqDqvg+DmpqjBCAmySXXADVlxR9V5HQQ3N0UNRkiQTaoDbsiKO6rO6yC4uSlqMEKCbFIdcENW3FF1XgfBzU1RgxESZJPqgBuy4o6q8zoIbm6KGoyQIJtUB9yQFXdUnddBcHNT1GCEBNkkrY20lxeABGmkOlBKO7HuqVqSbggAsh7WLEppJ9Y9VUvSDQFAWrQ6UEo7se6pWpJuCACyHtYsSmkn1j1VS9INAUBatDpQSjux7qlakm4IALIe1ixKaSfWPVVL0g0BQFq0OlBKO7HuqVqSbggAsh7WLEppJ9Y9VUvSDQFAWrQ6UEo7se6pWpJuCACyHtYsSmkn1j1VS9INAUBatDpQSjux7qlakm4IALIe1ixKaSfWPVVL0g0BQFq0OlBKO7HuqVqSbggAsh7WLEppJ9Y9VUvSDQFAWrQ6UEo7se6pWpJuCACyHtYsSmkn1j1VS9INAUBatDpQSjux7qlakm4IALIe1ixKaSfWPVVL0g0BQFq0OlBKO7HuqVqSbggAsh7WLEqpEzGxNoReXpD+GMrFqtykGwKAtGh1oJR2Yt1TtSTdEABkPaxZlNJOrHuqlqQbAoC0aHWglHZi3VO1JN0QAGQ9rFmU0k6se6qWpBsCgLRodaCUdmLdU7Uk3RAAZD2sWZTSTqx7qpakGwKAtGh1oJR2Yt1TtSTdEABkPaxZlNJOrHuqlqQbAoC0aHWglHZi3VO1JN0QAGQ9rFmU0k6se6qWpBsCgLRodaCUdmLdU7Uk3RAAZD2sWZTSTqx7qpakGwKAtGh1oJR2Yt1TtSTdEABkPaxZlNJOrHuqlqQbAoC0aHWglHZi3VO1JN0QAGQ9rFmU0k6se6qWpBsCgLRodaCUdmLdU7Uk3RAAZD2sWZTSTqx7qpakGwKAtGh1oJR2onjsGWtWHgVY8sZf0Qjjnk241eq+wMEByWXrm3kFmOaIsLHkrcQv+ae2UNqfdQV0OvQU7SfQINVa3ZtXgGmOBhtL3kr/K/2P2kLpf9YVSv/TkQEjRa7lVvWlvXkFmJYINgnEPt7K+DO+40+vXr0pX530jLVhkrmmnWW85J+almXDpQo2lryV9je+7c9yhQFSE5jtkV3t5qY5Dmwl/5qU0v5K+6O+UL5/1YYXjBTaT6BBuiHFQfMKMK2BwT7eSv8r/Y/awmfsfx30UlBat9bUwLRZYd/MgBUSbJX8XoQOfugdfYpmDw4kOo6z/QO2UhepXFO+IS5kxVvil/yX9kedovS/Mv50pPGzjL/l84c+TOXzVD46mz8//adpMwNWSF+CRp3y+fulfv7yxBrfAMor1ngr+S/fP8v37/L7o3z/K99/y/ff8v3X5k/o61qZf5mw33/lraDZ12JTDOTflhs0MOl7tL48NEqjgmCGHGRuUwzk5AYNzBK/5F9eXkINQubT0FbQQKBXZOY2xUCFXVfBLO2vtL/S/vgHfel/Zfxx4yQGSGfyMHObYsBTGzGYaHeQRgbBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCB2bMnrVjrGBuGDhlWPv/sVwQlDAlqyB2bMrcpBlpKJTOYuO6QxgDBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibiQRgXBDDnI3KYYyMkNGpiIC2lUEMyQg8xtioGc3KCBibgiq7eCKglUrSWzoXRDgGZTqksQ7Wy2tKFAFiv6M1uJX/nV2pDEzKTZY5Mg2pX8UwqzHCUla2vRnNlK+yvtL5s1SW2nGWnrYZ8g2pX+V/pfGX+66i2pz1i/wfRHGX9bx9/evXpSljroVlBdsaYZTrks4w+lroy/5fOHBt8y/pbxtykDOlqmMbN8/sTvreXzl5oCjRrl+0fr94+m/oTWY/3oa/L5KyvWUkLcgGLQgNC8hjYmNu9IFUbUpdOxHc+ggRKfMuCzUfKvfVxy4hPjWpTCLp2O7XgGDQjPayX/Jf+yQo1aRtd30/tW45pbDTqeQQOl/VEGfDZK/yv9r/S/2CeoY/Raspco+cQaDxu+18gw0rJzPIMGpIzXSv8r/a/0v9T/WmfrSv+jsaNtKtMPRW50MWigjD+UAZ+NMv6W8beMv1/N8bcysVbpuF0Oh9rFfUf3Q2QVV9miNxT2Jo+r9eFIu+akUspLbEFJNaI3eWwEA+rtmmPkOCAmtqCkGtGbPDaCAfV2zTFyiU+p4OfP4ANeUFItUd7ksREMqLdrjpFL/ikVJf+ptQhKqjUUb/LYCAbU2zXHyKX9USpK+0utRVBSraF4k8dGMKDerjlGLu2PUjGh21/PXr1kgn/oML9iTa9B9WqJ3nDxvMnjdCWB1Ns1B9z6tzUp11DYmzxONQGpt2sOuCV+NVuiNyTPmzxOmQRSb9cccEv+q9kSvSF53uRxyiSQervmgFvyX82W6A3J8yaPUyaB1Ns1B9yS/2q2RG9Injd5nDIJpN6uOeCW/FezJXpD8rzJ45RJIPV2zQH365d/m1hrTxAe/OgYBg2kDApqs7MTPkgtmmtqg0cfvOgYBg34AoTb7EyDD1KL5pra4Cnx+cGPLkMGDfiEEW6zMw0+SC2aa2qDp+S/5L+0P9dDDBrwHYZwm51p8EFq0VxTGzyl/5X+V/qf6yEGDfgOQ7jNzjT4ILVorqkNnvHtf71oYo2n74YOfUCkryVhRIJUT64lNh/v+MZPpdprm5DnX+IjAyX/3A+aN+QGUlm55kuW9l/6f/n8L5//boQwaMAPGITb7EyDD1KL5pra4Cn9b+LrfzSxNpauqfsQsitswF/lDOcMfABFSuYkJT5YCMtXU0UZMbU7a4CJWUV5yRJfO2DJv2Qgaxyl/ZX+R2Mc/SvjD6XBDfduwNWBw/qNgeqwa3rOKONvGX/5C1DcssZBSvn8n+DjT095KyhPrA2pdOuS/9L+yudf+fwv33/K97/y/a98/8WXNJbZFzWnVuy+SMQ5o3z/99//bcWay6ikLaUpoVpu88yau2qGrtLvrQgBsNSWoibk2YLzIuaumqGr9HsrQgAstaWoCXm24LyIuatm6Cr93ooQAEttKWpCni04L2Luqhm6Sr+3IgTAUluKmpBnC86LmLtqhq7S760IAbDUlqIm5NmC8yLmrpqhq/R7K0IALLWlqAl5tuC8iLmrZugq/d6KEABLbSlqQp4tOC9i7qoZukq/tyIEwFJbipqQZwvOi5i7aoau0u+tCAGw1JaiJuTZgvMi5q6aoav0eytCACy1pagJebbgvIi5q2boKv3eihAAS20pakKeLTgvYu6qGbpKv7ciBMBSW4qakGcLzouYu2qGrtLvrQgBsNSWoibk2YLzIuaumqGr9HsrQgAstaWoCXm24LyIuatm6Cr93ooQAEttKWpCni04L2Luqhm6Sr+3IgTAUluKmpBnC86LmLtqhq7S760IAbDUlqIm5NmC8yLmrpqhq/R7K0IALLWlqAl5tuC8iLmrZugq/d6KEABLbSlqQp4tOC8SetOKNTYNoZcX2AQn6aCp9HtfI1hqS1ET8mzBeRFzV83QVfq9FSEAltpS1IQ8W3BexNxVM3SVfm9FCIClthQ1Ic8WnBcxd9UMXaXfWxECYKktRU3IswXnRcxdNUNX6fdWhABYaktRE/JswXkRc1fN0FX6vRUhAJbaUtSEPFtwXsTcVTN0lX5vRQiApbYUNSHPFpwXMXfVDF2l31sRAmCpLUVNyLMF50XMXTVDV+n3VoQAWGpLURPybMF5EXNXzdBV+r0VIQCW2lLUhDxbcF7E3FUzdJV+b0UIgKW2FDUhzxacFzF31Qxdpd9bEQJgqS1FTcizBedFzF01Q1fp91aEAFhqS1ET8mzBeRFzV83QVfq9FSEAltpS1IQ8W3BexNxVM3SVfm9FCIClthQ1Ic8WnBcxd9UMXaXfWxECYKktRU3IswXnRcxdNUNX6fdWhABYaktRE/JswXkRc1fN0FX6vRUhAJbaUtSEPFtwXsTcVTN0lX5vRQiApbYUNSHPFpwXMbeY+a2gmMXPqnCFFLq988kBiU5f5TI7xyFDV6/Ai4dS4utfEUr+3Zyva0sK3d75SvujZEg+Sv8r4w8NqP4XdRl/y+dP+fyt9In4pcOJSeX7R6+edCso9f/08gL+bCBDNia4E49wUjn/Mv7TBc2udbn+pf2X/p/3iTL+VTNQxn8aNqmblN/f5fe33XMhv6m1pyh0e+eTH9+iSwOyz1+3Yq3S3bLC7POG2AS9yYq75ml+A7Eap1u5CqhRvKHEly7gU2LpK/m34cHyY6C0P0mFy4e1mwqoUbyh9L/S/+gjyDcJaz5l/CnjT/x6Yu3DQBl/JRUuH9ZvKqBG8Ybm8ZefscbPwnlg6DD9LWlFDJT8SypcPippN7VG8Ybm/GvZMv6V8a+MfzK/a13GQBl/JBUuHzbgVECN4g1l/Cnfv8v376/07w9dr8adWjtu3n3jBJw3Sv93BoGq8543GVQFJR4QpLiznXq837ABFHAGgarznrcSX/OAa8oaMgYJRpIph8ifcQ2A7QwCVec9byifoibkSirZ9qkOlDeuAZCdQaDqvOcN5VPUhFxJJds+1YHyxjUAsjMIVJ33vKF8ipqQK6lk26c6UN64BkB2BoGq8543lE9RE3IllWz7VAfKG9cAyM4gUHXe84byKWpCrqSSbZ/qQHnjGgDZGQSqznveUD5FTciVVLLtUx0ob1wDIDuDQNV5zxvKp6gJuZJKtn2qA+WNawBkZxCoOu95Q/kUNSFXUsm2T3WgvHENgOwMAlXnPW8on6Im5Eoq2fapDpQ3rgGQnUGg6rznDeVT1IRcSSXbPtWB8sY1ALIzCFSd97yhfIqakCupZNunOlDeuAZAdgaBqvOeN5RPURNyJZVs+1QHyhvXAMjOIFB13vOG8ilqQq6kkm2f6kB54xoA2RkEqs573lA+RU3IlVSy7VMdKG9cAyA7g0DVec8byqeoCbmSSrZ9qgPljWsAZGcQqDq/FZS3YXQrqG6JBwQZCU6ox/sNGwDdGQSqznvecPzprBNyJZVs+1QHyhvXAMjOIFB13vOG8ilqQq6kkm2f6kB54xoA2RkEqs573lA+RU3IlVSy7VMdKG9cAyA7g0DVec8byqeoCbmSSrZ9qgPljWsAZGcQqDrveUP5FDUhV1LJtk91oLxxDYDsDAJV5z1vKJ+iJuRKKtn2qQ6UN64BkJ1BoOq85w3lU9SEXEkl2z7VgfLGNQCyMwhUnfe8oXyKmpArqWTbpzpQ3rgGQHYGgarznjeUT1ETciWVbPtUB8ob1wDIziBQdd7zhvIpakKupJJtn+pAeeMaANkZBKrOe95QPkVNyJVUsu1THShvXAMgO4NA1XnPG8qnqAm5kkq2faoD5Y1rAGRnEKg673lD+RQ1IVdSybZPdaC8cQ2A7AwCVec9byifoibkSirZ9qkOlDeuAZCdQaDqvOcN5VPUhFxJJds+1YHyxjUAsjMIVJ33vKF8ipqQK6lk26c6UN64BkB2BoGq8543lE9RE3IllWz7VAfKG9cAyM4gUHXe84byKWpCrqSSbZ/qQHnjGgDZGQSqznveuLysWDOaAfHT0ZAhPunPXAYiB6Jqb9RhjDIX6eytTiKU+JINZM5myJAjSCNEQ6MOY5S5KPlHeiynZCjtT7JhqTGAJHXV3hxHyqFwlLko7Q/pQdrK+Fv6Xxl/pDdY1zCAThJl1d6owxhlLib68ad379709aBTbwXFqSJNosOYnziste8WZfwp408Zf8r4QxloHSOy8QWKLxBtUgFqiTIXLgjKEKG0P0kGMpcuRMwRhBGQO5KYIWCT+EGKMhcl/0hPTGGZ/6CElP4nrcGahgE0kigr9nQrqPsS5YuAD+l9wMmXEHyQ4qm5naHEt0aMnLFEhiC9Dzj5EoIPUjw1tzOU/Jf8x0EUbYYlWgik9wEnX0LwQYqn5naG0v5K+yvtD93FJHoIpDkcSL6EnFugeGpuZyj9b6Lvf7169ZRrPZRuBa1u5frT5XXNXfPjDKX9T/TtP31bqbb+6HGXu1x/zoBLSGn/pf2X71+1gQM9BLJGyHpRO0s8NbczlP43SfW/NLHmW4y73mKu6satO+oWIydApE76lhOfRJDsQNVKqjp4/oMh2lqpVoZAiV/yX9pf6X/Zn/TcAFEdRKq6UeuOusXICRCpjH9l/C+ff/5P6ql71D7WWztV3VG3uHoBJ9H+17tX7zCWkpduBcUJV+Qkev58ll/n61/Ov1z/0v7p93lluKupZfwr3z/L77/y+69tpKgOolXdBpS6A5Z8Yo2s2UukWmZRm+rVClFtZEAVyTv+4EsP3YM7suVTscR3Hwwl/42z2L69oG9oW6q0KKgieVfaX+l/ZfzByg10D9+fyvhbxl/7YVI+fyaqz5/ePXvSnRsdYQiesYYOXj7/6DqWz//y/ad8/yvf/8r3v/L9j0ZC+pKDj8fy/TdmgBJSvv9/Md//dWKt1sKqjc4RHLQG2V2AuiBdPbnJaQ46evcg6oJ0teQmpzno6N2DqAvS1ZKbnOago3cPoi5IV0tucpqDjt49iLogXS25yWkOOnr3IOqCdLXkJqc56Ojdg6gL0tWSm5zmoKN3D6IuSFdLbnKag47ePYi6IF0tuclpDjp69yDqgnS15CanOejo3YOoC9LVkpuc5qCjdw+iLkhXS25ymoOO3j2IuiBdLbnJaQ46evcg6oJ0teQmpzno6N2DqAvS1ZKbnOago3cPoi5IV0tucpqDjt49iLogXS25yWkOOnr3IOqCdLXkJqc56Ojdg6gL0tWSm5zmoKML7E0vL2D3UEysVQlVHXVBOn9ucpqDjt49iLogXS25yWkOOnr3IOqCdLXkJqc56Ojdg6gL0tWSm5zmoKN3D6IuSFdLbnKag47ePYi6IF0tuclpDjp69yDqgnS15CanOejo3YOoC9LVkpuc5qCjdw+iLkhXS25ymoOO3j2IuiBdLbnJaQ46evcg6oJ0teQmpzno6N2DqAvS1ZKbnOago3cPoi5IV0tucpqDjt49iLogXS25yWkOOnr3IOqCdLXkJqc56Ojdg6gL0tWSm5zmoKN3D6IuSFdLbnKag47ePYi6IF0tuclpDjp69yDqgnS15CanOejoNZivWDN3Q+kGk9DF7pwGDdjMcLJUJ+4scASe2W4q8SkDkiqXL4MGSv4pTbwKI2Ukx9KOsp1nRkeDSTxid06DBixuspT4PhdZ6lNSc3NbAbE7p0EDJf+UydL+8z6XWkfezFRr8DaYhCt25zRooLS/0v6+lP7XiyfWqNkNG8ZvBS3tD397RiYgud96zHq+NXgbTFJG7M5p0IDFSpYS3+cizz1rDd4GU8k/UuWSY9CAZTNZGjMs6dSdZ0Zzg0k8YndOgwZKfEpU+f6Vt7nUOmL7ykSDt8FU2h9lQPLikmPQQOl/lKYvu//RxNrYzk5a/4fnFqbLkVo6bJDsAYZM7CryDI/Bo/dYlfgl/9zyaWtuIe0do4mvNWHvGR4nf2l/pf+X8U/7Q3MPKf2v7YO5KV8YWeoZbWKXz78y/n4x4y9PrPGWr1jzbc5jbZ38iVvy/8XkHxnNpc+5x2B1nX/6eh5GvPRieOutN8P0088QFvje9+R2X9QEidrq0jM8BrPr+MxCKcg2G2rMZVMpzyjxS//76va/traOVg3pW3SOPcNjsEr7L+2/tP9J7feXW7EWO70IPwB4ux9mMDB8Nmk1E8ju58XHtxCMRZVHbCYDny1wZFtpAiW+/mDW1MTMiLAslfyX9kdtgKYVrEkYiD3qswkrTaD0vwnT/+66687wxBNPhvc/eD+8N/K98O7Id8Pbb70T5p13nnDoYYfJX2/4epb8f/b80x+iwiUXXxLee/+98N57lN/3KL/vvBPeevvt0Ldv37DWWmt12SE+b/t/5523w3XXXmfxR44cKfHffvud8LtDfxcWXnjhCRrfDQRdxmly3nXXXeHxJ54IH7yv7fIdapecu3nn4XZ5KBXBOGNZIlvEZjLQFGKcNitNYFJr/zqx1kETa0Na8zApn3/rSTvHxHL+vPLwlltvCccff1zgvt0xlntCR5h5lm+GI484MvReckl3VuMPJ/T5jx79cbjiistkbOTPn5Hv0vhE/fytN94Oe+y5e1h2ueXK5w9fLroQk9r4Mz6tcEK3v3EdQ4kfv/OU9lf6H33don9xiz1DhPUS8nk7U70vFv0MwkoTmJTHPzexlmfHEgBzJRH+ucbKdSUARdKMPF2+dAG5QhBQeV3WGGTwF6LEp04Rk6q5chkDFFnyX9pf6X9fp/Fnn733CXfdc3cItNqBH9qN9t+7d+9wxhlnlPH3c3z+jB07Jiy15FJxlQ8PsPppNhnlee+9+4dNN900fbx1Y/y97777whWXXxGeee7Z8Mtf/CJst912YbLJJpM6+fPvscceDVtusWVj/IEDB4XFF1/8c8WXE4rnlPUZOpfP+/m7zz7ULmlyjdtkB1Wm2esIvXv3iu0S0dMpmOULiG91fY7rj5x8Fb9/9KK3gvI2dAjdCsoH2o32JxWgKBSWJf+fu/2ndMqFSWoFPffsc+HwI48Ijzz8sHh69OgRPvpwVBg7GX+O84UI4bbb7ggzzji9+LU2VyegyDT+pzAgJEsV1RhkGJ/+//rrr4c1Vl8jBDrW6ufP0UcfHVZeeWUKVau9Gr7OGM/4UhGqF/nlnn+J7y5vyX/2/Ss1cjTQZKmiGoMM49P/pB4UFlnaP77/phwjQclSRTUGGUr+9WsF5+qr+P3Hjg4XT+T/pv3bxFotvM9ctdVxYum/6s/1RMvOrAszeA31lfjUTvA1PqUQqOS/tL/S/9r6B8YVyNhroEK6r++1/jQRjz9nnjkgPPDA0PDww8PpxDVHvO9NP7xPH0ATa5P4+acTtBPVBgAVMiWCUGU8abn+Y8eODXvuuWd44803wjNPPy1fMGLrCjxxJBNrVq8FGq/4H9Nqj1VWWSWM+miU/CjlNzwedsQRYfXVVkOI8MILz4djjz0uvEi3h736yitZ/LPOOksn1roZPxtPWs4fB1LLFxwicd6Q6hw44Mxw/9AHwsPDacJAmqX6ecL39DNOz79PTID49bSk46udz0QYP90KyivWOMHp/JovS/JPCuevrYz3OC/I6IEKaTwuMX79HzFqfDhEIgDk+Mf/dMynYaONNgojnn9Bbvlcfc01w6/23Tdsvvnm4eWXX7Yofzzxj2H55ZY3PQeICzn+8a2ebrb/d999Nxx88EHhtdfeCM8++zRVlz5/jj7q6NBnFZpYs8My8JXJ/+c9fy2P84KMtUKFTIko508ZmNCfP5bukv/s85dbZ20862b/L+1fs1k+f7/e3z86+BFr8bNP+4R0MnwcUodjd5zgsfHImAnUfBVDRZWCYmtweFOJX/Jf2p9+OfX9IvU8RTVfxVBRS/+jDEhOGhLjTRPz+PP6G6+FNdZYk86U1zl0hiVlZdAAbTBfg/P3n2v+miIBn/f633TTjeGggw6W6riu/jaxhuQikvstmUy19ser1fbYY3eyx58Y1O032nCjsN9++0mp6jmccMLx4ZJLLjXfIJtYI1OFXFGtDC0eSx/2Ys2LToj2/9prr4U1acJAQtOu95JYSakH4A9pQsSPp2nxfTth38Qaf0n/VlB/EpVzmlTPXz8l49lNpOd/+eWXhd/TxDmfy8yzzBz+8ue/hOmmmy703bRvePLJp8lOowOd27nnnxd+9KMf4VJmbVaMX4Hzv+DC88NJJ51Mh6OfP8fYijU9bDnEynGyx5tK/y/f/8v3//L9vzou6AiS9n7MEGvFUFETpcHhTWX8KeNPd8YfW7GmTdQ3KbZ43WNlZ+5oQhll096vnwSndTa8GsPrHpf4koGGlJT8a1JsX9pf7Ydzto4XfbKxQfkG5nHpf43pcsavSvvbbtvtwyP/fFiG6t69lqRb7k6nIYKOrnE1bPUae93jcv05A/z8uhVXWlGTQenpv0//0HezTUiXG7Z0/xnGn+fo9s8NaSKNp9V4IpTH8j333CtsscUWgqsd+YH7Hwi77LqLxR901qCw2BKLdjs+Pju0Qt77a+5xZDSYUEZdtG85/+22355WVOqtbvy8qDNOp3aZxZuw8SfF9s8rUsfSf8OGDouZbM//pHj+2iqt5X3m/ve/bn/v03Mb11zzF+GjUR/R9esM+++/n4wHfF730K39Bx74G/Gtt/564YADDqgfriTgq3P+I2h17frrbRA69E72cPRRx9CtoH3ouOkYy+ePNtdsr9cumbzucWQ0mNAo1EX7lvG35D+bhm9JqE+wxy10MVvmJ7rxB20nnh0Jf84el/N3lzqlyxmtFZT+V/3aSs2KsjOJj/8yseZnZbUzcQuJA4+0EGsm0nQwJCVrbhGS3zGRO2ljMjnPaVa0xJdkUb5K/qUJSSOTnQzzbMtbm/qEm30QqEX2klLalfbnkpJg6X+T7viz3XY0gfHQQ3SxO+WB1/qMtXTtGZXr373rP5J+CPf5+c8pszoi9d9nb1pZslmeXElw3I1j/OHvG2eddWa48KILwyj6cf3TFX4WjqCXTUwz7TRUgU7WcU0Y/+5/4IGw2y47W/xBZw0Miy2+BFPy7Ss4/lm7pB/dvXr2CgMGYCWlHCwdf/n8k4vI6YjLCiuZiZ92QhBq7149pS3kbwUllxSk3Tjan1SiZA6a1PGMr4HQOrW47Et8SsO48//oo4+FLbfcPKa+I5x/3gVh4R/+0K7/GLoN/dNPPw3fmGoqSyum8DXbnOivTv5fevHFsM666/EHjJz/0cfwxBo/Yy3fyudP9z5/9Gr7a+6xyzGbx6P9aQkhEyz9X/IhKdW8VjIjI+VXuf/p9aS9HDjtyvhvKfGgjD9l/MGqtNhZqHl8vvFPV6zJuCE7HSykI6a6fSNsw1mRTKmXqLnZ4L68CeRiDd8R6rWpJaszU+olau4Sv+S/tD/pcNYVuNuU/lcfPFos2ZiSKfUCNbclPX5NqxHqdVQtWRGn9OvXLwx/iJ61Rja8vMC5tRo2lPbPSfhMn3/81ruf/2xF6SZjqSQ/Y20zvLyAM9vSf8aV/7GfjgmffPLfME2PqbmW1m3osKFhpx13tvj8jLUl8PICLtXN+F/G52+/ftuHh4bzhC+9vIBuYTxjAK9Y+2z551PEluU0U8BIsuZmwyTQ/vkZa3zJ5eUFfLpf4eufHd4kkn87p1oDY0/aau54/v/857/C1ttsS01RGVf++cow77zzpoJdoKzOTKkXqrnZMAHa/4uvvBjWXXtdbYcUAy8v+LLil/Zfv/ZsKfnXvNjwOIHaf2l/pf01ZaD0v0m//3XQI9Z4saLbZJSJumsC0ey9TFK9xYlayd1JH9zp4ZSopfbIRKtRizKPNzrClhBqbnFqYSlb4pf8l/aHnh77C3Uq3yq0u8DHGmPeSv+bWMcfmVh7cHjonKwzLEW3gp6evRW0XP/P0/4/+OCD8NOf/oz+EKx9ht/Guulm9FbQ6kbuCfH5M2zYsLDDDjta/LMG0ssLlli8Gv0r+fnXb4cdwkMPPkg3LnbQs//8M9bK+KMzEXwZP9v4yyv/eKhuWrE2IdofjtBWbfhL51vhBGr/k1p8vjV6u+235cFCrv1VV10V5p57bsIT5+fviy+9FNZdZx0df+jz5/d0K2if7K2g5fPn83z+TGrtn89Hxzxu/7x9tvEP39G0rNuX8WeCfP/AFSrjf/zgi8K1PIWl/X3t2h/9cWwsXXb3l2KMaa51tLUXR+kSZuVZ4c3iqFf2GVFpvG8xJ8I4UFaeFd5KfM1DzK7kKEtUdJNoMSfCOFBWnhXeSv41DyX/0hikjWQNJaaHRIs5EcaBsvKs8PY1aX877bhjGEITMHy6smLtdHorKG9fk/PnU51Q13/Uhx+GFX72UwnA6dy7ZWJtQsV/8EGaWKPryyfI8Qe2TKxNqPic2/HZmuLvuNOOgScG+eB799YJ3zg/WasyK1/zjtuQlWeFt0mw/bdNrH1dzl8vbH0/sZz/Iw89HLbffjsZr7iBDh58dZhzzjnz8at+euO0/K/O/6U4sTaWjpC7m6xY6xNvBZ0E+1/bhfhf5R/HU+JXhntOTGl/sXlo65B91lDQeirfn5J5vFFWLSu8lfxrHuLoXvJPTSJrKDE9JFrMiTAOlJVnhbcJ3P70VlAOlEVng9t4aTrfn02i6Vl8jlmDqdqmv045eiI6Y4Qlfsl/aX+l/5Xx5zOPvzvsuEN4cBjfCjo29FpqyTAAE2vVUZZyyw8+f/aZZ8MzzzwTRo4cGf5Lz/OZf955wwILLBBmnW220v4q7W/UqFFhheVXiB/SHXQr6N5hU74VlLYxY8YEfvvlG2++GXpM0yPMPvusYfoZZkyf5w35Z+dYeo4Sr4Tj/L/33nth5plmCt/5zncax/8HacXXDv12sPhn0TPWFudbQd2WPlb187eT6v/3v/8dnnjiifDJx5+EeeebN8xH13j22b8dJpucHnjWtE2Az98daUJQJ9aCrFg7ndslnX/jFuOPoVtkH3vi8fD0U09Rbt6nSYc5wg9/8MMwB8m2rXr+CMHX5/HHHw9PUV3vU57nmGPO8MOFqa45GupqOP/Roz8O/LB5vk7v0/Va9CeLhskm09o502+8/kZ4k679lPQ8rPnnmz9MPjn/8TKtma4dbzrQmsse9ltpf1Ui3wrKm1+xlqqdeL9/vUc5fpza68h3R4bJp5wi/Jjehjkbj0fjsU1M5/8wvWRmu21oYo2aEbekqwcPDnPRxNr4Xv+mdHwZ58/PfXvuuefDmLGfhnnnmTdMPbXews4Ta2uvszadC7+9YGw46vfHhFUwsVY92HSgVc9X/vzrB5ws6bQm3v73VW9/Kdt1VPKPj9XS/ib052+99clX5vi1puT/65T/hltBY/OQL5OM8VU0bzZpwMrtorETW2PxWJoEvkSAbrLEj6lvTGCX86DiRCIbi5f8S3JL+yv9j/pHcxehxiGORu9E0/92pofbDxkylE6lM/SyW+7q/f/mm28OJ550Ynj9tdfltPmBrv78Z5l55rDFlluGvn03pUmCyWrnf/bZZ4e/3vTXMPU0U4cpp5iSJhl4koaT26mTRe+/Hw4/4oiw0EILhWOP/X145JF/hml79KAfylOGKSafgr67jw2f/PcTeevdCSecEGb91rey+BjOIOMZiPrb3/42vEgPyuYJrMmnmFy+zfDECT+n7KPRo8ISSyxBvmnCfX//e5hh+unDZFPQ8dMyirFjxoaPKeaHH3xIt1T2Cz+nFxGce+654bZbb5Ufh1N9Yyo6Vz62TjquUWGppZcOfGstbxyfbSusQBNrceNbQTfeZGN66Pj54ZJLLglvv/2OnD+fCOd/iZ49w5577BEW/tHCVIJyQ5Xg869///5hyNAhYdSHo9gjMRnsssuuYdtt6fawysbxHxo+3I6H3XYrKDuxcWW80Tnceddd4bTTTgvPPvsMGTg+fdmjP1gwZWa6vkcceQRNci3JbPGJQ3dqc3sOgaqdWWFT/IzUGXbeeZcwhF6+wPE5pryt1nNc++NrefNf/xoGnHlmePnllyUuXT6Lz8e+2267hV/+8pf09z8+L1dR5SDHUl033XxTOHPAwPAy/fDH+UsJ4s4808xhd6rrF7/4Bb3NkAunCm688cbwxz/+Mbzz9ts0Be09Idx9993yP1/3f1Lb1o3KUvvn41uLjm0buo7TTjstuWL2SOD6xwJJuPNPxoRiDclAyFasUX+3LR2+mSZUfAvQRf6VM37nP2bsmHDBBReGU089Va4Cqt1/v/3CBhvx23NbNhDZ3Ugav/hatrECXMHmA/iM8bfYfAt6WcmHYfTHo7Pxt8e0PcK3vjWrxOCj4PFz4YV57Aj0pud/0ls2jwozzDBDmIomb7nd880nn475NIz+aHT4kFbT/upX+4Xjjj82zEST8/LCA+kbneHjTz6WsXHqb0wdTj39NBn/eKXc9DNMH6aacioav6eQGP/99L9Uz6hw/PHH1yYy6REy4Wq6VfX666+3t/siKTyRvPbaa4dll1mWrtMGVJeOf0cdfXR8ecFXK/+NV7gb/U+SxrvPeP1LfMtcAiX/cexqbB3oailfHpX2l7LRmL4y/kjjojR8kd8/LOml/dHXvngrqCQltjdLEIHcFDUYIX0BVxHckEbLDE5xENzcFDUYIUE2qQ64ISvuqDqvg+DmpqjBCAmySXXADVlxR9V5HQQ3N0UNRkiQTaoDbsiKO6rO6yC4uSlqMEKCbFIdcENW3FF1XgfBzU1RgxESZJPqgBuy4o6q8zoIbm6KGoyQIJtUB9yQFXdUnddBcHNT1GCEBNmkOuCGrLij6rwOgpubogYjJMgm1QE3ZMUdVed1ENzcFDUYIUE2qQ64ISvuqDqvg+DmpqjBCAmySXXADVlxR9V5HQQ3N0UNRkiQTaqD97vuvHO4f8gQ+Y3It9zJBEZWrjPcccff6EfYr2Sw5w/a9ddfPyy26GK04urVcOttt4cnaGUPalxs0cUDT3zN+M0Zsw+HY489Nlx++eVyBPzMMX5yJ5fh6TVMQpxzzrlhkUV+HPrvs2+48+47qTwxeP03B+UtwgsvuCD8kN+Gpyb325hrJG4UkNttt136cceMSvw+q6wiE2uDB1+jNXI8PjAXf6eddgrb0xtUT/jjH8IlF18scbgefVCChlx2mf8LJ598isX/iN7cufwKyxNXN67j0UcfpQmWO8M000wbfrzIIuG1V18Nz48YEc+Bz7Mz/PnKv4R55v1uLKUn07dv3/DUk0+5Lzr0Y5Ti70QTUNvZxFp+/sOrE2v08gJdsaY8pInfJnjE4YeHa6+9TuJzkJVXXTn8hI7v9jtuC8Mf5JcIqGvrbbaWSSo12KlGNY+P/IObZB4fx2F+Muy8q06s8fXvTc/+k7fV1ohBVoPtteee4SF6/hS3qNln+3ZYbrnlwvd/+IPwL5pcuOYavqa6sf03v/lNmHVWmpQVtrQWO8wPaAJ1jz33CI889Ihc/9lmnZWu33LhB9//YfjXv/4VBl892PK/3HLLh4MOOjDMQhMbsXWGyy6/LBx/7PHUbOhA9VKqpGi8gur111+XA5lrrjno2VjzyDGPpslXtP/ZZpud+s7xssrOKrWjo6IN55+bogYjpESliTVbsTaELNr/KoepzKycUxyMVVYOKRLAgwTZpDrghqy4o+q8DvKEDuf/rrvvcanupDa7qLSVb0z9jcZ8aaVaEaqD/Czxwc3LRg1GSJBNqgNuyIo7qvQHj169FRORhyZtb9r//fhz9FFHhlVWWVXO+wGahN9lp51BtqoZYPw74Q8nhH336W/tT8kxSBz//nH/38MH738Y+vTpI/U2xT+P/tjw4x//mGrWM3nzjTfDYYcfFu679z6L/93vflf+aPLYY4+FV16hCWuqaBr6w4lv/0cfzW8F1TgTov2nJOhx6h5Hnbx5owbLTs8Rq2UjF0UgsxKsqANuSKNlBqc4CG5uihqMkCCbVAfckBV3VJ3XQXBzU9RghATZpDrghqy4o+q8DoKbm6IGIyTIJtUBN2TFHVXndRDc3BQ1GCFBNqkOuCEr7qg6r4Pg5qaowQgJskl1wA1ZcUfVeR0ENzdFDUZIkE2qA27IijuqzusguLkpajBCgmxSHXBDVtxRdV4Hwc1NUYMREmST6oAbsuKOqvM6CG5uihqMkCCbVAfckBV3VJ3XQXBzU9RghATZpDrghqy4o+q8DoKbm6IGIyTIJtUBN2TFHVXndRDc3BQ1GCFBNklr8+zlBSBBGqkOlNJOrHuqlqQbAoCshzWLUtqJdU/VknRDAJAWrQ6U0k6se6qWpBsCgKyHNYtS2ol1T9WSdEMAkBatDpTSTqx7qpakGwKArIc1i1LaiXVP1ZJ0QwCQFq0OlNJOrHuqlqQbAoCshzWLUtqJdU/VknRDAJAWrQ6U0k6se6qWpBsCgKyHNYtS2ol1T9WSdEMAkBatDpTSTqx7qpakGwKArIc1i1Laid6zM02sDRnyAJWlty9WV6yRlbn96W2Wd915l82C8e2jO9DD5bHdeMON4eDfHiwq89dbb73wmwMPIKQ/Adnx5JNPhpdfeZl+pH0Q7vjb38Jdd93JZg1AUbbddruw2WabhRlnnDHcd9+9YY899lQ3/QDjH4KLL7Z4WGa5ZcK3aeJk2eWWlZUYQmjY6fmls3yQJpjefOMNubXwz3/+s/6siYe2/377h2WXXUZuHRxBE1zDhg4Lf/7LlVSrEhZYYKGw8cYbhkV+vEhYYMEFZHLruuuvCxddeBEdF08KdoRvzTxTWGfddcMyyywTFl10UfvZ9NHo0WGFZVcIY+n4Yzg52lVXW40meA6UFXRs8OfL+oor/pxW7R3HMNYVaPXWkPAqTWRe9eerwj//RSue6PQ4/s6yYm0b4WKH8+fJpn7b9rP4/FZQnlhLmaFqaBLo6KOPCn/5y1UoTs9iO5NW8fUU/WNa1XfkEYeHG66/wa7/n875U/jJT35i/CpAfOSw2e+t/ojYHles0YQv/wBfckl6KyhuBXXUD2iV48677hYef/Tfck6ce14xNj2t0sG00asvvxqO+8Px1H7vlIALLrhgOO/8C2jlja660aPopNs2Pwi77rqrTHxy/EVp4jjVJYcUXvnPK+GE406glX1UFx3HQgtpXVPGuvhh7DzJ/PwLL4QBZ5wuF6hjbIfln2Pz6skf0KQwXbrwIa1C4lWEF154AWlsCaEHTTZcccXlcust63a6AJDsbNmUUidiYm3IUF6h6rcqN+mGACB98QpWSjux7qlakm4IgCS/bZev1WM0Sc39j9fHspsnLy+48EJZAYjrXzk0UVFV8lUtSTcEAJkK15BS2ol1T9WSdEb33nOPrJ595rlnwmmnnKZNhRy70uTz/AssaOf//R/8gCaWZ5NcvPvO2+HhRx4JI98eGU494zRZRYkDXZ5W0a5Dt2AuueSS4f5/3E8rZ98KgwadbRO/3Op2okm52WefPayx5i/CGFqZdtONN4XLr7yc+trjFn8Z+kPCqqutTre7Ly+r2bh+vj19/Q02oHhvSfuf5ZuzhIMOOTgsT5Pa2F5+5ZVw3HHHhnvovORgZddhbwV1rT56qCRSAonKGqRS2ol1T9WSdEMAkA1xYVJKO7HuqVqSbggAEsEapFLaiXVP1ZJ0QwCQDXFhUko7se6pWpJuCAASwRqkUtqJdU/VknRDAJANcWFSSjux7qlakm4IABLBGqRS2ol1T9WSdEMAkA1xYVJKO7HuqVqSbggAEsEapFLaiXVP1ZJ0QwCQDXFhUko7se6pWpJuCAASwRqkUtqJdU/VknRDAJANcWFSSjux7qlakm4IABLBGqRS2ol1T9WSdEMAkA1xYVJKO1E89MWbpdtQAGb+ikYYf8qCW63uCxwckK5KB80rwLQGBvt4K/FL/qktlPZnXQGdLu890CC191T35hVgmqPBxpK30v8m5v6nE2u8gkVfXsBvBZUf3e76y+2iNLHDG/9g3WjjTWgF276i4/r/at/9aMLsDkkFr/a6mCaeFvz+99EUievbTYdMMNxwA03WxG2XXXaRWxqZ1Um3eK226urh7Xfeoh/Js4TjaRXPTxbBRI6vhwt/tva33nrrhhEjXoxRA03w3SWTGTDw6q01Vl8tvPXm21R1J92ytE44+GCdNFSOxufJKJ6k69Fj2nDllVeE2Wad3Q4FJ80Ta8vTyiZddaflevfuRbdbnh5vhUXUELCqjlnT0S1et992B922ystG5GoY8R36wbzyyquQzkzcCroNqcSLqUCR4Q89FPptT7em0nnQDFUYeNagsMTii1GpVCf/uN1rr72kLt799pBD5LZEvVx6zDxtsdWWW8mkE1//n9Ck06BBZ9HEHtcTgzbE19KoGhok7LmEd2f6YT9kaJzwXZLeCmrP/gOjMxxOq+ywynDOOeYKl9OE1DemopVK8fTAfJtytoq8bVCPlScNtt9++yyw1kUr0sg691xzhssupbqmnoq0WFlk8ySErAoSZpAJCL5Nrpr/o448MvyZboXjm9w4/4vSROQf/3giTQhPn9XJX68OoZyjL3D8RX+ySDh70J/oVlMOmsfX667nwV71U6nxyL+ufOqkZ6zxSyGaN+RMTo/bzRcY3461Vmc6FosowDQjfESTkbvtvgetQI2rKKWuTpqknjacf8H58gwvVJ+XhgZpVWbAvAJMcxzYWPIWr8V45N+4OECtINuj9qb881tBt99uW3JpTJ0oX4LKU6ku4t96263h1/vvb8e64447ZbeI8wHwys7DDjtMwvIdzoOvvoaeTUjPbnTHys8FXGON1ST+VlttGXbffXerE/EPP4z65LWDZcjhlZhn05izmIw5ODOV/6UJ+18f8OtwZ5zwJipNrPFbQftoRKGhDHuxwcaSty8v/xqvxLecl/yX9lf6H7UBGhO6GH/r4waPWc0bRhcZiL+Cn79yrrjmcgpl/O3O9e+gO0Hpc9wud3NrIGszA1bIvDh/qdQv5/zVXb6CKoHoaKftDaxSF6n15oq4kJUyJX7Jv/w4LO2v9L+v5/jDE1pDacXaWOoHS9ItR7jlzo+/N99yUzjwQJ5conGUBtmLLrw4fP/7C2WD6b/ogfdbb7WV2fr335eet7Yx6fGDtzI682qdvpv0pduCXiEP3VJJ8c8/97zwI3rw+MAzB4YzaXUVd81LLro4LLjQArEeq74GWkb4WvxzaLXV6TSxxefHTzk45hi9/ci3/11pFdg/6PleHL/H1NPQ7ZC3himm4EmWtO1Bz0K7776/2wsJmuKPHv0R3ZZIE2v6IUayI1x7zeDwnfgAfP/5d/qAAeFPtGpE8kWfSzfcdBNN1tEti1Jxqp2fa7T00stIzpi7Cz0jj5+xlhjpGB96aDhNIPEz39R7Fv3IXVx+5CqH429F1+wxWvHF+Z+WnkF366230WquKWufvwMHDpKVbBRSVpFdE99IiGhN8RE3SbBT/LbP/524XdLtbHyv7ZJL9Qqnnz4gK/z888+HDTbYkGwcOYRt6XbfXWj1Zb7hqDrDmdSm+Px1JRNN/F56SVjgewvI598Lzz8X1ttwQ/2aQwy+tXYnyiudajx01KO1a10DSWFGpzwvbwFajSZ8pYSzz/4T9SVaXRQ5f6GVht+dB7f3KgnX//33RoafrbSSxedJ0LPOPptWaS7aGD+GyER+hHDBqpIn1vj8ecUab4jPQXz7J6V2/fU8UG9dIlLugRWy4v2M37/4xR37/3r/cPvtf5PzQG65Vn6+Xi96RmG+IS5kxfsZ4+elc60lApG0jTTl77PmnyfWtjaxjqcAAEAASURBVKNJXF7FydcRK1D5SLqK/9FHo8Ly/BIVKsXl+E2i/OIDH/8hWt22Pa0aluOkvOyz775h076bxIq1dr4dmm8F50nMW265OXzjGzSJHTdmDOeXpdhK5g56vuRy4Q9/+CN5mo9OXq5CfD4mHn+OOSo+Y43o/vOn/P5ozh9yz7KZASukL0FlJrL2nx99rrWcIZG+uP6XR8y1Er9xhCv5L+2P2kBL7/gajz/yVtAsLaYYyEeYBg1MyqP8WIE0KghmyEHmNsVATm7QwERcSKOCYIYcZG5TDOTkBg1MxIU0KghmyEHmNsVATm7QwERcSKOCYIYcZG5TDOTkBg1MxIU0KghmyEHmNsVATm7QwERcSKOCYIYcZG5TDOTkBg1MxIU0KghmyEHmNsVATm7QwERcSKOCYIYcZG5TDOTkBg1MxIU0KghmyEHmNsVATm7QwERcSKOCYIYcZG5TDOTkBg1MxIU0KghmyEHmNsVATm7QwERcSKbyirWhDwylHzI0gUE/vE8fQG9frGxcnt+0yG9x602c6aafjiyoVcn8hss1f7GmmsmEFWjsBRNxIR999LGw5ZZb0O8m+mlF8WefdbawF70584ADDpCvI0fSw7dXoeefobxEMsWAmLvagclxR7z4Qlhv3fXlc4jL/PSnPw0nHH+CfSvkW5lWXHFF+zrEnFPo4ej/Ry8mkI3qePfdd2RlBRfilUZtbyAc/RFNrNEPWj43+kdvT10oXHrpxfSDRj8HtULak34WrQAbOOBM+UHJ9uuvuy7M/u1vC4Xccjys8Jsvl156KSqiVp9nIbvdw7RibTuaWEN8nhxbYonFLH41/8ssTc+IO5WeEVfZOBK/SIBjcViecDydbnXkZ/KNz4bjx3lDWlkQzEDth9rlA3QrKG/8Uo0BtJJStsg9nJ7hpKvVNDfn2HOelOb3XOS5Z58NG25IE70dtI6G2huv/NmZz4e2ww87Igy+5mq5RvyD/txKXdnhkfLcc1TXRjypxz/aaLUhTcShLjHQ7k9/oom102kClzic/2vo+Wz8ZlHOXdP5H3rYoeG6a66167/mGmuEQ2kFEW/V+Bo2swqvbQdmz5695fyHDhlm7V/KgNBSQeY2xUBLqWQGE+cNaQwQzJADuAcOHCiT7pJDl5XDDj2UblmksadlQ3nEhTQ6CGbIQeY2xUBObtDARFxIo4JghhzALRNrNPmF89eJ8vwtv3lJ1bj8IXQL8vXX32jt/5KLLwoL0Ypi2YjA/fkcmgzm9s/bj+glCOedf75gxD+RVlxeSLfabkRtf7/99yNfJAuLX55Aq9WonfPGZc6mP44s5m49x3lD4hmQGP+PoZcX9JGVpVKF7RBfDKYYMF4bABNxIY0PghlykLlNMZCTGzQwERfSqCCYIQeZ2xQDOblBAxNxIY0KghlykLlNMZCTGzQwERfSqCCYIQeZ2xQDOblBAxNxIY0KghlykLlNMZCTGzQwERfSqCCYIQeZ2xQDOblBAxNxIY0KghlykLlNMZCTGzQwERfSqCCYIQeZ2xQDOblBAxNxIY0KghlykLlNMZCTGzQwERfSqCCYIQeZ2xQDOblBAxNxIY0KghlykLlNMZCTGzQwERfSqCCYIQeZ2xQDOblBAxNxIY0KghlykLlNMZCTGzQwEVck/VWD7bYpCVQ1ZzaUthLjAqkuQbTjD/f8IzvVkcWK5sxW4lPy2rKX8piQZo91QbQr+S/tr60FZX0tNqLMVvrfRNX/dt55J3krKF9KmcCgW+7Gp/+/TrcFPff8C/ICg1dffS28OOJ5eeunfFzQ+LMT1csP+x/XdjH9wNNVDX786aTJL3pOGz1ovrplbS06M9t4tL8tNt88PEbPwpIPGeLffvsd8sw2rudGepbYwfRMIF7bwX2Aq1tr7bXk1lUOx5zBV18VjjjiSHqLZy/6oT8g/sTXo/CzJmnFGhWiytan57AdcGD1nLTcoEGDwhm0ao0n4Hgi5jp6kcB3vsO3YuUb36q6FN0ayRXypM2uu+4cttlmW9EkiDv/h+h2ObsGFH8QTUwstjjfOqbbDTfeEH4rt7lqb5+bHjDOk2syEUc1slUejk5g5MiR4SZ686ascqDIB//2kLD2WmtJRXoG9fOPYcYhYjliCaIdtz+eWBsqz1ijW5T5VtA4saZsuh15o43DM88+Rx91NMVIBe668w56oyZN+Lrz94Hfe/+9sBK91ZVzxufl34DLdT1LE2+I/zd6htp08nZOX4Ni5vAKsxVXXEnrovi96OUKA7A6LcY/59xz5A2rUimVGUwrFeekibX6pmd0xx13hH3pBSG4/nPNORdNHOokhS+D89fGq57M1nL+zOzdq6cc89C4Ys2XZiz10G58+n934mu86l6P3scfSdfq/n/8I4ygZ9VtSSsq+a2W9913H71YYk9rf2j/W2+9Jb1MY3e6prGeLs6/Gln1evz/9fm3xednpvHqVJwrbu3WM+j6/O/7+31hT7p1E+2f30ArE+Vk4ZStSROTr9HLNdD+uJdcQ+1vDlrdxhuvFlxt9dXDW2+9Rc8FTM9gZB/ib0pvhOZnacr3T+pkt9Lbk7854zeZ0rgNpxW1/eSWbO6RIfBbQVfps/L/vP215Z+PEec6Idt/ie+zy1lPW8m/jnw+Q1lOJuHxj1tBdq6xWWS2cv7UNHQ8Tb2mK6TZY4Yg2pXxx/euPHdZW4uuzDae7U9WrKWqtQrRDRrIzaQhhjByWqqyVqriylRXiUEDtZpKfO1jkqE8TVlWMVxVjA2qq8SggZJ/yoDPRml/pf3p6gLKg28YtZ7VpdOxHc+ggW71v53prZJDhtxPZenlBdmzrFzYCF9/7T/h5ltuDTfffHN49N+PchHaYvxc0LOndqTnhvWTz3hx5YdplXMf6d9/b3rW2d1SH+dppplmCddcNzhM/Y2pjafAVWLQgFC81tb/LrnkEnlzqdbZEQ499BD6YfkLUfekWzzvvffv9KB+rom2KO6991669UmfubXjjjvKSw4OOvggeQh4TITR8bVmFL0VdAV6K6j8mKWD2WgTWunxq/2Fl+86aYXTObJqRH7Y0jeba6+/Jnzn29WJNbplim+NpIeOI+270i2L28gtXFqjP/8HHxxOt2bRijW6UPRBTrcXDqTbC9PEmqwAoofn8ysYNPm0pwp4oqp6/lw7/6Dnunjj22W32XYbQj5irrXlXyrIdnkd7JLn+vGKNXJVX6rx6aefhqWXohWEciha9u808TIlTcD4mnz8j+gtkiv8jG6HY0LcHqBVeJzPpZfmlXdUGf8j/710i+9UU00JmpNa+yh6k+cKfGudi88r+jom48foq/k8WvV28imnxvZPkxRXXx3mpGe3NW+d4bHHHg9byOpNOsSYfz6+yTrkQWuxGGon1aAB4XjNnz+fVy96CQSXyyfWuJgvJdW07BzPoAEp47VqfM1XU9Wp1A3XX0+T2L+z9nfwQQfTy0WWlRei8PPV0P74kJdbnm41pOcvTjb5FFZpqonzSNeCrpHYvMPYAF06QSLpeAYNCM9rX3T8R2iifFv8sYIC8SpXvbVbGmKX8T+lZ5qttPJKYRT1A954le11tCp2Mmqz//znIzI5j/aP9se3u2+5xZbC59s2d6SxZCZ65uVNdJu6tEvX/j/9L92i/n80KU9sNnPe779/CNUfpwHhkNp0N5zGp35y66iOP0fRcytXkedHOlIGXSUGDQjTa190/v/X17/Ed1fXoIFy/SkDPhul/U9a4392de1CGyjtfyJq/5WJtezSZp1Yrmq20wueX/aMkClVtugNhb3J46wyUdTbNSeVqrJFbyjsTR6nmoDU2zUHXOQ1sQUl1Yje5LERDKi3a46R47VMbEFJNaI3eWwEA+rtmmPkEp9Sgb9Ec1Ykbw3J8yaPUyaB1Ns1B9zS/qrZEr0hed7kccokkHq75oD7v8v/jvSGzweHPShTK0vSg/XPOGOAHJQcdzz4sZ1jwyB6PhU/+0z+msW/nMg3K/04W53ecLnQQguFKaecip5/tJ/Y2c1vDu3Xb4fYr9N5NqH3Rr4Xfr4S334pU0BS5pJLLw0L0jOw5FeaK+Tz6bGjRKjeJs7rtDJjDbrVTrfOsMz/LRtOOuVkeZPdqqusKvH5JQ670kPu+Xz5GI6jt3T+nFY88aqONdekslTxLbQiY6Zvtq3I6Aw8scZv4OMqeMcro/ajVUlN25/OoYm102gihv7jY77m2mvDHDyxJoVTCVmxtpROrDFvV7qdkVex1LfOwBNr/MMV8QfSJNoSdGsWNn1gP90CSf/xT9v16cUOG224kcTnunluEecvRrKxnX80zz7b7PHtm2Ro3ISp/EZ/bqyyd6DJy+H0kH2O7yd8mce34q7MK1sIa3o6aDIUE5+oN69xVHzOFE8wxULhWsrx1FN/Q37M6097bX/3UF1T0fOjPNfXys+s4om1VBVNhF5LE6FuheG5550bTqWJNXDaV6xpzc/RM+M23IBuUab/uAz/fztNYs84U96+UB+X8pj1fFOv5/Ts1UvOaegwfcaa51fZovvCkexNHvu6FKu3a04qBfZu9JbXf9x/v5wbt7/5vjd/mOVbs8hbcdmI8ee7c383nEcvK5ieVyk2bqjRLncjC8YqW3Q1giLSmzzOSI7ZNSeVUl5iC0qqEPlWUH6WIPc/zsVAutXS9+dUGyMt7Ks45ve/D1defoUlhG9X5rf7nkhv0r3goovCBuuvFz7976e0uvIaKb3AfPOHy+iFILz9nspeQWW3oJcW8B8fePN1v/jii2FdGj/YqIenL8nwHCnkdnor6PbS5rn/HX3UkfHFILHuhsLe5LGrNkL1ds1Jpaps0RsKe5PHqSYg9XbNARe5TGxBSTWiN3lsBAPq7Zpj5FprkXINhb3J41QTkHq75oBbzr+aLdEbkudNHqdMAqm3aw64Jf/VbInekDxv8jhlEki9XXPALfmvZkv0huR5k8cpk0Dq7ZoD7peff5tYaz9A/Su2nxRIn7htpdrsfKLwQerJ51pKCPPTzzH9mm1VJOALuBgVs6iIBKmcXPPlSvySf/wcKu0v60Kl/1E6YpvwQ0ZrXpiEkQZSC+aar+zzjT88sTaMJtb4OPmNlWfQs3bw0wjHfvjhR9DDrnUCho9vlplnplsaD5Tnk+mKkI7w5huv0yQbTTjxApuxdCsorVjbvl98GLY/XMH52fCbOffZpz952E6jCVU699xzh4svvlQmPrhIXoIt2Lp3/jvutBOtOuPz5ppD+Otfb6ZVc3eGI488gp5DtgQ9qH8gPf9ta3oT5r/J2xFW6rNS+D296ODyyy+nSbZjw7LLLRdOPPFE8rXHH0UrbPgZbrIChHibbropnec+Uga5JUW28847P5xCk3s4f74NkJ/JhQ3nz7dkLUUr1vSo+Vl2umKt6fP3wQeHBV5dh/jpYeda29n0TCW93hylQ5+dtB9P/OlPY3+MiI/jSbL9/NuvWnttKKPtcjiF6ZRnufEzoNCTPnj//fAzmuTUjeNPFu64/Va6nXdGmOKhpzh4dp466Gc8tTF+8yq3X54wVTvzOwPfljn99JW3d0YGB3ifnsP38xVXZEhbc/wLLrggnHTyidKWOf+DsxVr6bi0jiCToLy6kOvj9s+33N511z301tlphFIvgZLjn/9eNLHG5zk0vm0VNeQSkSDVm2u+xPjHT6Xaazv00N/JSip9AgkPJspFFNan7dEjXEgTQTxGaP6/Hp+/jzz8CK0C5ltBNSvan+mZiWRp6v/IHfKuLwvYkVRt/5v23SzsueceYXW6xfPtt98JA+j5mh9/8nHYK95yy4P5JZdcHOabb35q7z8PH9EfCs4//7ywMD1/LW16ZV56cURYd531bPznfnXX3XeGaabpkaiG9JoOH05vLe6HxwV0hKNkYm1lYuEMWerW3mLQMhzDoAFUM87aUs7ysrnmqyvxx7f9pay1Z7PkH7mB1KzlWsok56vkf/zGv5S19myW9ofcQJb2xxnIs5FaUnf7H02syVNWUk0WwUDyVVDOwAAQSZmTFPlTJAmC/KGctozozrBiTwUM5YwSXwfgmJ4sOaSU/Mv3udL+Sv/7Oo0//fr1Cw8Nf1AmX3rTSih+Y6Y//9tuuzXsv/+vbdCYmW7TvIieizYrv7FSfgCpi19ssM4669gHEE/obE91p6G8efx9kcptvmnf8OGHH9GPMvp5qL/5qNKxYf31N6AXGXDsVIsFSEAPoGGfDXHE9+PfNYOvCYfRA/B54x+l++9/QLiFzpUf7H4QPdtt3fXWCZdddlk47rhjhcG822+/PfCKmkcfezQcedQRYdVVVmNz6/bBhx+Gn9HEmm6doS9NrPWXCUSyZAfXGc47lybWaMUazv/aa+ntod+Zo0oMY8fwWzLpGWu8nIrGbH5OUvOKNbrlb9iwsBNdB8TXFS7xVlAqfvsdt4f99ttPzp8nf/qssjKtGjk6u/6VA3VqdgIxRi5yRp7/6vlXP3/4B/dwevkCfyHglyTgGWsot8JPl6fb2qjNxK3pJRI+/vPPPxfWp7eI8ldwPoke9IP/TppI5Umsn9Ltur793XgDvZBi9lljzb4WKRqef4HeSLrh+lSNtsseNNFz15130jVJ7fR8evD7SSefLNG4osE0MT0HPTfNGFm1nYHfGnrUMUfb9Z9ttlnD9TdcH/lW6nPlv6e8FZQn1vQW2+xgviKf/+eccx49m+5UylgcCPgD2Q6UMB3nccfz6tGfOTvBhs2X5MT5/o92pMW0Xg7zVf78x8sLJB3U/88ayG/5TStQqymonv8YOrnVV+VJtLekHfWYtgfl8viwG03O8+33N/71Jno5ytjQh/6IMGrUB9Ke+cUci9NzGXfbbTd9m+hVg+mWZ46U1/7x6NHyxwZv5ZVvc8Y3IDflX56xJp8RdG3ounL755WorhvV4qSwPlL1zFXPGRP/9ZezspMy0HzyZM0Z5fwn9v5frr9v1HnrbuoEOaO0/9L+9dtf3o9Yo5byJX//sRVr7cN0pcH6Fp63bPNUzdBV+r0V0ZO3L1h8NGgmCXm2YFRccVTN0H1k2FLR3JKiJpS4EeVFzF01Q1fp91aEAFhqS1ET8mzBeRFzV83QVfq9FSEAltpS1IQ8W3BexNxVM3SVfm9FCIClthQ1Ic8WnBcxd9UMXaXfWxECYKktRU3IswXnRcxdNUNX6fdWhABYaktRE/JswXkRc1fN0FX6vRUhAJbaUtSEPFtwXsTcVTN0lX5vRQiApbYUNSHPFpwXMXfVDF2l31sRAmCpLUVNyLMF50XMXTVDV+n3VoQAWGpLURPybMF5EXN7M0+sPTh8OK1N6AyLx4fx8w9ZcPgNnbfccguVVcth9KZCvo0yRVX06iuvhrXW+qX+BiYqT6z1ozdS9qVJs6eeelp/zMcjQN0ff/yxPFz/0ccfCz+mVRCn08P7d9l5x/Dvfz9G9etfIY+hVWJ9+vSx+DiJanyeepAH6/tfZQiEQlGy+T16GP9KK60kFtano8mRD+jZWZwHfo7cN2eaKbxRuWWUXxJwDt2yydvf7vwbPeCeb0NLRyIOt/vgPVpZteLPySJHFzajibW9acVa9bBYv4BuHTyJbh3k+Hzug+kNkXPO4Z+xpqV4xRo/Y01Zk9HE2k7yjDWOUN2GDRkadqSXSCD+WbQKb3FajYf4fjKU407dY1p5CUBHx+TGSXVqqf/85z/hH/Rg+Z70IPy55/IrhhLTEAKZQUHVDF2l7ren24h5wpe3nj17hjPpJRF6HmIKv6YJ11tvuY2UsfSdqCOcdspp8rZU9cY9KiaVnyu2M61SZBPnbrNNN4urBwPVdUC47ZabqaYOyf8pp54WlqK3wOY5TZVxXTvSikxmc/y+VFd/WYkY45LgFWsnn3hSnHuj60kTa3PGB8GnmpTP+jG0WufKv1xl11/r3DtVWLkiqdUl5MipYncSvWnFGscaQsfvzFazHpff+xrVDkuKmhB8JvMirWbQWD7z9JNhk002pWPS/m+F4lFuvvnmYa+99iLt6/f976GHHg7by8P+tQ0POutsmvRa1DKRchUREuscp5xySuDblPETY2ZaffzW22+Hrbekl0DQLZ488h9zDN32eeWfBbN/mWWWoVWE19LzGnek/3eQ2pry/+tfU5+kP05QFbKdd8654UeL/NhFV4jDwltBWefx5/AjjwqrrboKaenzJxVGKdTx9bv+fvxryn/KVUR5ysxdNUNX6fdWhABYaivxS/vTMSS1BN9aBOdNxtxVM3SVfm9FCIClthQ1Ic8WnBcxd9UMXaXfWxECYKktRU3IswXnRcxdNUNX6fdWhABYaktRE/JswXkRc1fN0FX6vRUhAJbaUtSEPFtwXsTcVTN0lX5vRQiApbYUNSHPFpwXMXfVDF2l31sRAmCpLUVNyLMF50XMLWb6scK/V+SvSFkVrpBCt3c+OSDR6atcZuc4ZIgzhRa1AZT4Jf/8e7m0P3yYa9eh75+yabdy+6yfcR8jmibQfzfTSkr/q+REc+r3k/L4s92224eH6eHVvFRDJzDO9Kcuk2ivvUZvi6P2Q4/Op1vaBoe55portimlcvMa+sD99MD5XbWpUZvaYad+YQeaHOlFEzBs5NVT6kzVH00Pq/7zlX8JPaabNlxy8cUy8fDKK6/QD+tNaMWEPmSbVwNdfPElFHNOKt7c/v9OEz1nnzUwPES3SvVZeeXwmwN+Q8//wrOX2tt///77hDv/dpeslJOlKnRoy9ktnnqcPEE4lJ71hfPnL5Or0Mquo4482tqNdK94coLVEPT2w5/H8+4IG9Mz1n4lt1oiB3xs1Inp37n0sPtTT+WVOrpdQ6s95oirPXz74wXkS9HKQpZ8TDvTijV+wx9+ivr4Q+jh//zWVz20DnlG3hI944o1CdNJE0L7hjvvphxwENpOP/10fTmCaLrz8Q884EB6298tYe+99g6bbraZEPR03V5hrIEU0ekkMzu72afnH8kmtqNnSfEKHd6WWKIn3Zp7JrHT9f/H3/8edpe3HKp1a3rw/+570FsjiZ8/G41jhHD8CSeESy+5NF6zjnDllVeEeeedR+L/4/5/yIocCUa7LWmSgR/cjs2fP1//42mVz6X0AgxtE50yCTEf14WrQPEuuIhuBaWJNT3HEP5y1VWBnwvG1zptRKTzf2HEC7Q6k1bAuS3dtksUounwnc5fT1QLkBuRW8+fK+hFE+ccP728QOPnx+QOIsIvKr4/Zjvyhuu/9tprh5dfftkORON3hO//YCFa2XlemGKKKSStOO7xPf/xjW+B/0fn3xZf36IZXwhD/V/aiE2UuywoxNHHXGn/e/yJx8Pmm29BPloRyBvnn1YKn39eusVzmLyoQCfQhEL1cVu/7PJLw/fm/54U87lE5FtuvjX8+sADqP9xnZ1hqy23oj66WxYf14wrue++e8Meu+9p4+/h9Eeb1e3ZlxqG9192+0uRFZX4X8z449tMzKy2P2ouXW0l/yX/X8TnX2l/1MuyvkYjd8Pnb7Uvlv73xfc/t2Ktku7sw5t93hC/AnuTFXdfj81vIFbjdCtXATWKN5T48hXcp8TSV/JvP08sPwZK+5NUuHxYu6mAGsUbSv+bWPrfdtvTBAbfckffXPi2orP4LZFuZoInGR599FH5QGbzufQD7Ec/+lE+3FPT2GefvenWurvj53Zn2HKrrcMedNtkL75tkbahtHpKt84w+uNPwrn04OxBg86Weg855Lfhl79cC26auLmZVhEdGPlBnukz6OxBYSp6QYJtsbnxGyL5x9g7dHsT+vUmm2wc+u/7K38aVowPHLxbaWUar3yyX270peOoI+jNdKviOT8hXH31VeGII4608+ewf/jDH+nh9cuLLVVcb/8f8EsZ+qxolA3pVsT999/P4hOIdfBbQc+lt4KeFu+A66Rn2tFtVHGFk1VAYMyYMTSxtjQdM98qxyvWdo63glplxNJzHHL/A2GX3Xax4gPoxRQ80Ynz5/hPPvVk2LRvX6qLTp7+9Zi6Bz1X6SJ6g+XcVg6AJ2R2olVfTLzh+uvodsnZ4SJZj++aUcbz8bXBuLICO+lZUjThGyfWpF3Sg9qzjSYW9qJVYvfcc7dEnpaeRXb+BReGeeeZR45FYsRqR743ktrXL+WNiDwBufQyy4ZT6DZNHDI97iLsvXf/cM+9d0v+p51W65pH6sqihpG00pHb6qgP+Va5yWg1z/+Fk7kuVCb0TjmWU3jFGi9qo20FeokFvwBj8sl5bU5cLxSPb489dqdJhr9L/nm+Y801Vw+HHna4Fmzbx7LJ7Q3N4y8/Y43P/wGeKOaCVsRAtDk9BchRjeINzfG1gtT/2uJfeunFNBH6hzweHfDFF14UFvr+91GN5stYX1z8loHDIgnw4WqGz3f+bfH1GWk84UXJoDZ7Jo3VPW2i3B9Q1/HXWnud8CpNXPIPJq5qzjnnoHHuGhkC+Jp0do4Jq67Gt4y+LWfGuwUXWpD++HGJ6enawdQZPvpodNiMJttH0EQxt3F++cTg6+NLWEAjD/s4/tZbbxPefodixF9ue++9t6wkbTt/q4KBP11xeEPX51/tf1llUo2vK4ualBrFG0p8ybFPiWUu5oZ18xuINqdbuQqoUbyh5L/knz5jfZOw5lPaXxn/8u9fbiD68sYfXa/GrVJbqW+rhg2g9TqDQNV5z5t8qROUeECQ4s526vF+wwZQwBkEqs573kp8zQOuKWvIGCQYSaYcIn/GNQC2MwhUnfe8oXyKmpArqWTbpzpQ3rgGQHYGgarznjeUT1ETciWVbPtUB8ob1wDIziBQdd7zhvIpakKupJJtn+pAeeMaANkZBKrOe95QPkVNyJVUsu1THShvXAMgO4NA1XnPG8qnqAm5kkq2faoD5Y1rAGRnEKg673lD+RQ1IVdSybZPdaC8cQ2A7AwCVec9byifoibkSirZ9qkOlDeuAZCdQaDqvOft1VdeDh/SirD/0Oqw3xx0MD2UepSsX+CHgh9Nt15+a5ZZ5PleM8wwPa2kOo9WUp1Cx0zr1WjyZdGfLEq33Z0SpiEu19c5hn7g0S2cZ5/zJzkx/jLDS5wX/vGP6A2TG4bfHXJomHmWmQI/KP/Z554LTzzxRLj+uutkRQrXyR/yW2+9VdiJVl5NMZnegjhUVlrRhJBUxmdLkyG0Sqsv3QY20zdnCt+hN1LONMvMEn/E87zaZz3iEo//UfzFFlssnDVoEJ9qTCwfKUfTDfkbTW93XG55fWsnr99g+530IgXOA7Z33x0pzxzC+fOzuW6nt4FOOdVUUp/UpdWjSHjmmafDf2nC70GawOBJOD4o/iifd/755Zlm35xxxsC3WE1Bkyyvv/Fm+OD998Lx9Ga+Jx573OrchVb/LbX0kmHGGb4pq/WepTpHf/Lf8OSTT4YjDz9c/tDIYXsutgSt+tidrsc0YW6aCOqkibeXXn6JJi8/DoOvujr8hW4vRPxN6FbUlWlF3/TTTRfmm28+Kq0Hzrd5HfK7Q+X82TIXTejxcX+P3siI7blnnwm77L5HeP2118L2tEKOV8rZaRsA2xkEqs573pB/xGcb+16l9sjPpfvPq6+Gg6hdjvroQ3J0yAP8f0/PX5r5W7OGb3/725STGbhIeIt+lG+6cd/w1ltvUqUdNNE3WzjlpJPD9xbgVTUahW9R3pUmF18c8aK08UUWWUQm1fTlBHpcUhdNIvSllZJ8WxyXnI3a2MmnnBQW4DfTytYZXqHbYHel6/LSiBGS/x9TXaeedEqYjvLpTorYNLF2/gUSRycv9Pqvt8EGYd999w1T8oor2saO+ZQmUwfQKqxz5dg47hyU+wvpNtIZ4jkKUXYph8ifHb0BsJ1BoOr8VlDehtEEqW6JBwQZCU6ox/sNGwDdGQSqznvecPzV68925vB4xKuqRrz4glx/tvIbI1deRd/Yi/JaaywEI6m+XqmQBwWKOr7xs6qkvlSnxfRRvFH4ziBQdd7zlupPPCBIZYYwevTHgV8MMHr0R+GGv/41XHbpZXIDMi80WGfddcMvVl9TxqspppwizEfji26uFoGq8563P519tjyzEOMvv2hmO7ptn48LJU8++RSaHD7P8r/3XnuGzeiawM/1GDYQwgvPP6+rL6k/cn296Ll+Rx9zVPgmjdtM423EC8/TStpd6Fb718imPB5/8VIcfi7bggsupBN9UoJ3GsSFaoyvdMcSmMqyn49Lt8QDggQjyVQHyhvXANjOIFB13vOG8jgntqEEJNvyLdWB8sY1gBLOIFB13vOG8ilqQq6kkm2f6kB54xoA2RkEqs573lA+RU3IlVSy7VMdKG9cAyA7g0DVec8byqeoCbmSSrZ9qgPljWsAZGcQqDrveUP5FDUhV1LJtk91oLxxDYDsDAJV5z1vKJ+iJuRKKtn2qQ6UN64BkJ1BoOq85w3lU9SEXEkl2z7VgfLGNQCyMwhUnfe8oXyKmpArqWTbpzpQ3rgGQHYGgarznjeUT1ETciWVbPtUB8ob1wDIziBQdd7zhvIpakKupJJtn+pAeeMaANkZBKrOe95QPkVNyJVUsu1THShvXAMgO4NA1XnPG8qnqAm5kkq2faoD5Y1rAGRnEKg673nj8rJizWgGxE9HQwb+QUObuQxEDkTV3qjDGGUuXJBYaYlf8l/an3QG9JzUEdHx0FdIYkRgkxXwfhjzjgdrvQx5Sv4lga05iumt544cteuBWqLMRcM1I0I38r8X3cZ3z920OkfKchDaZEk4ppc6w4orrhSO/f2x4dMx/6WXEOwQ/vXPfxGH4/Gkw2z6nDV63tcdf/sbrVAYIRNtG2+0UTiXnquTnRdVfSy9RfOC8y8M//rXPykNOCkcu8a/9prrwnfm4BVQdMsa3z7KlTCFVvzQ4iTSWBdAP7po9QTdisc6TxDKmze1hJTpuxm/JGAfsriNw9TyHcJvf/vbwA++5/NfbfVVdHWaHaOW4eei3U2r8TjeejSJdyC9EVU2OR6tFNWP+ZRWlC29lPr9nurndOP8t9l6a5pwnCWccMLxsS5ydqT8y8Hy6dL533LrbaHPSn0kfn4OTEjxr7ziCnlz35ZbbekjW/0+Pt96y6tQsF1/3Q00uXYwqVyfns3CP1yYfqzPG157/Q1dcUjn22flPvTm1CNp5dXk8XhSfEFIBCqGrNob9L323pNWoN1r8Zuu/4orrSjtSaql43njzTdD//79w79pVSXiz0yTrosuumjgZ8g99dRTegSU/yWWWDyceNKJNFFHE6cN8d9483Wqa197EyxzZv7WzOEnNJn88ksvh6doUhP551V0J9FbYXtMO60eCu0RnwG/vEBXsml4bl+c/1nppQSrr76GcO+97z46PqqTN/JvtPEGdEvq7vFNoESOx2iHakCLaH+QqKBamchIgsr27t2beJ16K2itLqLGCSirJHKMaqB78ZE7KV2rqx7/pRdforR0yiT/FNLemBNjs2jofykRjidc2mVlm3QcVJS5sLRYzV9C/McefzRsvsWWdOjcHuiAsnNgXQ18qDJhGo/ZjhHA2V94gf4YsR7deixl6VZmGjfmm3c+0kHqDI/RJP8WNJGG8fe6a68N3/k2PfOxi/jioiruolWk+/w/e9cBsEVxtPdTUMEWsGssIWrsDTCJJYk1xeSPPbZoxN5bYqKmaiwRCzZUrGCLJbbEbsRgp1hj74IaomJBxQJ8/5R9Zmfv7qV8AkHdU27aszt3c7N79+63t0ezz7DxHxHW+976NAA9Z7j3Ps7559y1Y5+0Uf77/o8H9tb69lriD0dVu7YzIP4Sdjo8nNuUnH+GkZPj80MlUdEoQxlpThrqIIC7/o3HWPxrBBDaScYDoDzw0NavIVlK/CWiLWM0yXjDSFQqQC2R5qTkP8KDsJX+73Pb/tKroO4i4royxbUG9TbwyZY42EDFUjM7RfFvSYSYMUWEQL0NfLIlDjZQsdTMTlHiX+IfHyKQM0yRIaDeBj7ZEgcbqFhqZqco+TfN8o8H1u6hHz/deNYUz56hJ3IO74RPx9NMp49kfTNda4xmW5Hxk0/o1U1atP8GGoB6jQYY+DcQrgxTfvVyNxp84xlup5zcj74ayq8M6VyE3ffYXb4O2mfnnWUm1xxzzEE+Z6Na22VW10f0NbkPaebYLbfcGubr1l2O5bv02hwPmHXv3k3865pK7TTINyHw1+f4wwLXXXcd2fQ47qMfa2ec3j+MHPVK2Ixec+LZF3ws2HCs6ahh4XV+7g37H7C/nH8/mqW1Ln0hMm1a8naaofabX/9a4n/2WWfLwv3AoG7QiXSMa9Krml1pBlmXObqEWTvxLDzMy6BzoJlsY8a8TTOf9g5zdOlCA2sn0gAbzb6jCjrPqteCfyDxjDeepfLhh+PCzTffTIt6f1/8c4w4/hKTiPuYrtkH738YbqDXMz8aN46+WLl1o//x4z+lOvn6jtM1lfiV3rjx8b/84kth0MUXhetjbH28utKx7ksz47bYfHM6J51xxUVx3qCxuowkW+IyQKznoAMODHfdc7fMXNHzUzzHjM/rQ/q3Lq2BdzINaGFjBJ/XHXcMDpdccnF48vEnJNp8ZDwYwbFffoXlZZBgvfW+Fzr714lRCVHxRLtPqa47Bw8OF118cRpgY1zsf1akj2xsTzMn11tvfaqrk5ZDecbFjQfWTqPBAfbP//HaYDfSVz6vuOIKQsgwCWl145l2f/jDH8M36eunZHKbHJXK06D/0wFrXmON1jusbDj/6ek/ZUvFOYnFP116d7k1Qu3hxRdfDltttSV9xbaL9Bc825FhvHG7GEfteRz1nwvMv2C46Sb6A0HDlqpN3E70ij8PRuOPFGJJZqll8803oz+ajIxLBAyQ/qdaPYqAwj6aZrb2o3vBbbQeI+e/z/ju3ecL+9FXRnl2Jq9hyTkn6U2VyPgaVcLrGH7ve98lLjaIaZD/Jf+qVwlXq7Q/iUwtPE5R8m+q2n/KLN/qXDw9gPgSfwpvLTxOUfLvC5V/aWDNNwR3vUVdlQ1bN9Q1Bk4MgfgvlXozTmrjqpVU5ZZA38gNVGeK/xL/kn+l/eGhvtpDVPubqmz4uqGuMXBiCDSz9n/8auRTTz4ZxrwzhhZjXzIsueQS9GohDWK5AYH//Of1MHbsB7R2zyI0wKMzenByM9v585plPHDGx78BzdLTQbw8/vwD9p93/FPaw4YbbkRrfRPYna8+FeIMPa2fbV3j8ZH/H1//92htuGeeeya8MfoNeuW1c1hiiSXCkrQ4/+yzza4HGE9i8OA7aVbYSLmpckj4R7G+08gAWkuM1oFqo4XRJT6kMbPWogqG0rbqaquGVVZeRYXPcP4vvPCCzKD8hF6bnW22TmEJej22x9fwipweCh/HJLfo/6UXXpIPC/DA8myzzyYfH+jBr9vxMftKqjKZBw6kgTV6lZRnNPAD87U0WMlr5vGAMb8ux7OGus7ZVerkj4F07tw5HVL0P62ff3rTa3n0DVX3KmhymXHTyT/7aAhV5lqE4n+69//PPfdceJK+xrzcN5aTwbXsIsT4P//s84Lh16eXWmqpBKlexKpsSF5P8+Pw4vMvhpdeepFeB/1K6LH00mEhmvHM25v0CvcD9z8Q+LVsfvWZKf/jry13oXUOp3X+s8+Wh8pGbPH8i3/fySE4RKtBrMoGrRvqGgMnhkAz6/OPHGT1JKqynUndUNcYODEEKudffv+X/ueL2//kA2vS4N0zZYtRVOshXC+irFMwCKJQ3rGK0inqYRaDGuXh3cJd/MuDu8WnyrgAKusUMZ7yA0HUvCvxL/lX2l/pf6gjoE620luIAjMKtLMgBI+otNpcBco6BZeBKJR3pf/5PPU/v6RXZO/kV2TlQsrl04cDupScFXx7FoZ2MmuFFPIlTc4txvC/yH/nu+vSum4nEe6L0f/wummnnXa6nf+1111La9ctioBosBAfobybvvnfu2dPif8wrLE2g/1zFsSAyLmaOIPOv/gv8S/55+7XSIfS/igtOAjTt/8t/Q8STrv/0v9THORBiWnJP86KL8rzH5+L5bexKf91YC3Jgq+UsWJibMBaoallUBeoK5+rnORYB+8Yi7pAXS25ykmOdfCOsagL1NWSq5zkWAfvGIu6QF0tucpJjnXwjrGoC9TVkquc5FgH7xiLukBdLbnKSY518I6xqAvU1ZKrnORYB+8Yi7pAXS25ykmOdfCOsagL1NWSq5zkWAfvGIu6QF0tucpJjnXwjrGoC9TVkquc5FgH7xiLukBdLbnKSY518I6xqAvU1ZKrnORYB+8Yi7pAXS25ykmOdfCOsagL1NWSq5zkWAfvGIu6QF0trHr0kUfCm7TGmTwUYsQVy8ThgdGV8Srl+W+yPORGa4/NP39YhdZFyzb4BXXGXOUkxzp4x1jUBepqyVVOiuz59DGP/mf0txLXXksDazQzbao2VAvqCucqJznWwYXtTR8vYDN/3XWKNtQF6grlKic51sE7xqIuUFdLrnKSYx28YyzqAnW15ConOdbBO8aiLlBXS65ykmMdvGMs6gJ1teQqJznWwTvGoi5QV0uucpJjHbxjLOoCdbXkKic51sE7xqIuUFdLrnKSYx28YyzqAnW15ConOdbBO8aiLlBXS65ykmMdvGMs6gJ1teQqJznWwTvGoi5QV0uucpJjHbxjLOoCdbXkKic51sE7xqIuUFdLrnKSYx28YyzqAnW15ConOdbBO8aiLlBXS65ykmMdvGMs6gJ1teQqJznWwTvGoi5QV0uucpJjHbxjLOoCdbXkKic51sFrbD5jzcwNpRtUAhe9MxprjA3sJU022GdeE+ORUdugKv4pAhIXFxxjjSnxpzDhRx9T3lJ0VM73DdYGlZQRvTMaa4z5Spri38cijz1LDdYGVYk/QuWCY6wxFs2kaYywhFN3HhnVDSqxiN4ZjTWm+KdAlf4nz7mUHTG/MtJgbVD9L/PvvPjlRZ5i30YfpbiavtC6+OKLu5NMBwwOlI/b89mpp5PK1a0KiF6NvXhgjdgRI3hgLRUAB8oVez531MLaqoDondFYY8xX0hT/PhYl/tUINESnQSWlRO+MxhpT8o8CVe4/eZ+TsqOaeyw3WBtUUlL0zmisMVZb0jR6cAfikVHdoCr+KQISFxccY40p8acwlfaft7mUHbF9ZaTB2qCSIqJ3xsjSwNrE9nZ5ONSaHcRcQQfKBvCgBq4xHuF5AOkv2sW/vDLDEWmOUOuG0YRHZJV6hOeBKvEv+cc/DuvZkjKk5F+rG1NTi0Lc6hFtQpf2V9pfaX+ft/7n+L59wxWXXx7v123hAprBxmtV1Tff5j0P5LRr/zywxls+Y8379Py0948ac+p9eh6oaXf+qDGn3qfngSr+S/9b+t/PW/+LlgyK1lynHuF5IEv7L+2/tP/S/rU/aO4hpv73r5uxFqsU4qv3enbubeicppxaaWLwdomW9n4MlfyZypgpd+qQVpqY4l8TpsSfIxAzQ4hlSUXvcMx2YLOaiSn5V/IvjmdSJsXMEGJZUtFzwnkby1O3WWliSv6V/Cv5h/YTW4YQayVkTPoHH3wo9DvlpMAff3j1Nfp6Lptok0F34nt8vUeYg74U26/fSfTF2/nUWNlbzcRM6/anA2ttNLA2rOI1idPTf/LSmiv+Y58zHa5/66gnS4l/ib/0+SX/pnn/m1pZa660v9L+Svuj9vEF73/cwFreGVgHAHUlELI4cXwqV6wrAVYo/UWAHj0jNNYGACqv0xqCFP5BtPinDqrEXxJHc8VlDFihJf9K+yv9T+l//T0GHYTX5XwNQYpy/4kPxRSqL+P99/Krrgx9j/+LPhRSMrTZgsT0jVTi+S//vN10401hgQUXEByvTzej+t9e9FVQ3oYPo1dB+VDK/Y/iMOPib60DnUeJf4l/yb8Z1v+V9pf9ICz9f+l/S//7P+p/bWCt9vjhn5zlcS3f1fCZOXuySJaaGgruAyqPn8U/NYr853AKZEO8vFGfqEmT4itmiKDOXuJf8i8bfirtr7S/0v9kvaoXav2lN1q/ah2tWiGCGq6hPy/tb6Zrfy+99FJ47rnnQteuXUOnzp1C506dZICR1tIIEyZMCJ988gnJ7WHdddeh620jWykzcN1Bp/H1T6+C8oy1Ge9/EieqJpw36DQ+/+IfEUCAQaMeImiJPwVGn7Fr/Xnpf2e6/hfZzbR2vbzR8toSXa0QQQ3XUF+5/uX6l+ffrFV5obS/yniBDw71K228xFq8t5jJ+h3S8INiW0wwrzdwZGq2iqIiSinRNRi8qvgv8S/5h4c/PAZWWx8/GFRsFUVFLO2PIiAxaQiMV5X+p/Q/pf8p/Q93mL5fkA7U7Wq2iqIiSknRNRi8amr6nzX9V0F9JS2OfVr71yyJQSn+sxtyJRzT5fqX+MfcY1IJeEUs8UeIGgLjVVPT/5T8k7TSnQ8iYu3MzAqkgjN9xJb4l+fP8vz5+Xv+tBlr2o6rrdzLnkerJ5r1pqxXnO39+zOxmPyZt3E0uOrDy56PFTWoin8Niu1L/Os52vKvUdWE8rLnS/5JBBpCUtqfBsX2pf2V9le9R5b+h3KiGhTuUaodipc9X/rfpv63N70KOpH+GzF8RHoKK/1P6X+qTa30P6X/Kf1vvIl4Ur3HeNnz5f7TdP/RqGicbF/uP+X+8yW8/8jAmh8V14dbbiIxGtJCrJlI20GckjbXaANzewbyo15jZ04WNyuu+JdgUbxK/CWDJMlkJz8WWJdnm9oEW/thplotSLiSfzEgOSntL/1VrPQ/3J54K/2PhEG6F+1jKpGJvY3aBFv6n5Q3GpAUFo5N6X99VIyfVv1v7149Kcr88QJaY81vkrgl/iX/8OTkk6M8f0+r9qfPDg0xLu2PEq70P6X/aWgbnBnl9z+lBmIjnQVFJcos0jphLFcsIqvWlwVPRbBJQdqZDxiUlvhP+99/OmNNrpvs9GLJhaCgN1yj/JIkKSuSCQkDrmZmhUseYRlc/CNkk6VZTDOhXrRmLvEv+Vfan3Q41hS42ZT+p955tNBkfUom1AvUzBb0+JhQA9TrqGqyIplQRerPH9ba5S3+S//3Bej/eI01zmn5eEGW4CykrdY8Sv6X/P8C5D9nuPTptQRPuc9czVzyv+R/yX9pPdYUuKHYAxILk96yNpUJ9XI1szktz38WCg5biX89eVpospzKhHqBmtmCPu3yr42WWOPJmm4TL1F2hxDV3soglVsYUSuZ26njSoujo5amJfBgQ+1M6QhbuFB1C2PxrxGg8JT4l/wr7Q89XewvqFPxWWGNxe5ojOOt9D+l/83SQLKCd5pJMZ+QVmaNDOlL/+tbGgJV2p+PimYLYsMS87xNWf/Tq2cvgTbNWCv55yONGJf881HRXENsWJq6/MM9Qutxe6qm5J+PNGJc8s9HRTMGsWGp5J/GZMr6/9L+KFp4xNfA6b70P6X/ncHjTzRjbSKlnRupa0hM39X5fJ1SPivPAm/mR62yz4AK430LdQJMhsvKs8Bb8a9xiNGVGGWBimYiLdQJMBkuK88CbyX+GocSf0kGyZEsUWJ4iLRQJ8BkuKw8C7yV/NM4lPyTZJAcyRIlhodIC3UCTIbLyrPAW8k/jUPJP0kGyZEsUWJ4iLRQJ0DkWg2sZeVZ4K3kn8ah5J8kg+RIligxPERaqBNgMlxWngXeSv5pHEr+STJIjmSJEsNDpIU6ASbDZeVZ4K3kn8ah5J8kg+RIligxPERaqBNgMlxWngXeSv5pHL6g+Zc+XpBd/XjOIFjslDBNaxEC1kRTtU1/nXElEtApI1v8U0OklljiX/KP0sD65HpLqWlSsyrtr/7XUReuFCinjGzpf0r/U/rfcv+Zye+//Coob37GWurWSv9f+v80Zz3e2RJJiZJ04Mr9r9z/yv2v3P9m8vsfuitPU7dW7n/l/jfj7n8Nr4LGtJSbKfPNP+NTwvo0RlmnayweS0+qoRb/MfSNAZz0KDqHF1tj8RJ/CW7Jv9YDlaX9lfYnfUdjB1L6H+pfmyNDhtL/4u7TIkjl/jM97j82Y22Y+3hBY5KW+E+P+FvSl/ZvoWjuJEv+lfyjjonSoOVEjfL8Ge+djR14ef6iHqY5MmQo/W/pfxGBxiSZ/vcfexVUjiP6wzExzVXpgCSrc6MrpgaYQQ2QKZzgWGBzVZSgBAXYqBpgBq2Yo+isjgU2V0UJSlCAjaoBZtCKOYrO6lhgc1WUoAQF2KgaYAatmKPorI4FNldFCUpQgI2qAWbQijmKzupYYHNVlKAEBdioGmAGrZij6KyOBTZXRQlKUICNqgFm0Io5is7qWGBzVZSgBAXYqBpgBq2Yo+isjgU2V0UJSlCAjaoBZtCKOYrO6lhgc1WUoAQF2KgaYAatmKPorI4FNldFCUpQgI2qAWbQijmKzupYYHNVlKAEBdioGmAGrZij6KyOBTZXRQlKUICNqgFm0Io5is7qWGBzVZSgBAXYqBpgBq2Yo+isjgU2V0UJSlCAjaoBZtCKOYrO6lhgc1WUoAQF2KgaYAatmKPorI4FNldFCUpQgI2qAWbQijmKzupYYHNVlKAEBdioGmAGrZij6KyOBTZXRQlKUICNqgFm0Io5is7qWGBzVZSgBI3gNGNtGGni8h7EVWAVhbM6tiP+UQYOUB2o2TOFExwLbK6KEpSgABtVA8ygFXMUndWxwOaqKEEJCrBRNcAMWjFH0VkdC2yuihKUoAAbVQPMoBVzFJ3VscDmqihBCQqwUTXADFoxR9FZHQtsrooSlKAAG1UDzKAVcxSd1bHA5qooQQkKsFE1wAxaMUfRWR0LbK6KEpSgABtVA8ygFXMUndWxwOaqKEEJCrBRNcAMWjFH0VkdC2yuihKUoAAbVQPMoBVzFJ3VscDmqihBCQqwUTXADFoxR9FZHQtsrooSlKAAG1UDzKAVcxSd1bHA5qooQQkKsFE1wAxaMUfRWR0LbK6KEpSgABtVA8ygFXMUndWxwOaqKEEJCrBRNcAMWjFH0VkdC2yuihKUoAAbVQPMoBVzFJ3VscDmqihBCQqwUTXADFoxR9FZHQtsrooSlKAAG1UDzKAVcxSd1bHA5qooQQkKsFGaG2gfLwAI1EB1RiGtgXVLVZNk48CA1t2aRiGtgXVLVZNk48CAmrc6o5DWwLqlqkmycWBA625No5DWwLqlqkmycWBAzVudUUhrYN1S1STZODCgdbemUUhrYN1S1STZODCg5q3OKKQ1sG6papJsHBjQulvTKKQ1sG6papJsHBhQ81ZnFNIaWLdUNUk2Dgxo3a1pFNIaWLdUNUk2DgyoeaszCmkNrFuqmiQbBwa07tY0CmkNrFuqmiQbBwbUvNUZhbQG1i1VTZKNAwNad2sahbQG1i1VTZKNAwNq3uqMQloD65aqJsnGgQGtuzWNQloD65aqJsnGgQE1b3VGIa2BdUtVk2TjwIDW3ZpGIa2BdUtVk2TjwICatzqjkNbAuqWqSbJxYEDrbk2jkDoQA2vDhg+v/DW/ik2ycWBAzVudUUhrYN1S1STZODCgdbemUUhrYN1S1STZODCg5q3OKKQ1sG6papJsHBjQulvTKKQ1sG6papJsHBhQ81ZnFNIaWLdUNUk2Dgxo3a1pFNIaWLdUNUk2DgyoeaszCmkNrFuqmiQbBwa07tY0CmkNrFuqmiQbBwbUvNUZhbQG1i1VTZKNAwNad2sahbQG1i1VTZKNAwNq3uqMQloD65aqJsnGgQGtuzWNQloD65aqJsnGgQE1b3VGIa2BdUtVk2TjwIDW3ZpGIa2BdUtVk2TjwICatzqjkNbAuqWqSbJxYEDrbk2jkNbAuqWqSbJxYEDNW51RSGtg3VLVJNk4MKB1t6ZRSGtg3VLVJNk4MKDmrc4opDVQLPRRUKZuQwGoeS4d8ZizC7Nq3QMcDKCuSseaVRiTGhBs4634L/GnXCj5Z00BjS5vPZBAtfVU92YVxiQHg44pb6X4+G7NAABAAElEQVT9lfZHuVDanzWF0v60Z0BPkUu5Vm1pb1ZhTEoAm1/FNt5K/zOl/U+vXr0pXu20xtoIiVzTziJe4k+pZdFwoYKOKW8l/6Y0/yxW6CA1gNke0dVmbpLDQFfir0Ep+Vfyj9pCef6qdS/oKbSdQAJ1XYpjzSqMSQ0ItvFW2l9pf5QLU9n+2uijoDRvrSnBNK2wb0ZACwq0Uh6za+NFL+kumi2cR3AcZ+sbbKUuErmmfINf0Iq1+C/xL/lHjaK0v9L/uIU7S/9b7j90M5X7qdw6m++f/m7ajIAW1JegXqfcf2fo/ZcH1vgFUJ6xxluJf3n+LM/f5fdHef4rz7/l+bc8/9r4CT2ulfGX6fv8K18FzR6LTTAmf1pukICk52j9eGWkBgXAFDmTmU0wJgc3SEAW/yX+8vEiSggZT0OuIEEgV2hmNsGYCrouAlnyr+RfyT/+QV/aX+l/XD+JDtKpPJuZTTDGQxt5IJF3oAYGwBQ5k5lNMCYHN0hAwi+oQQEwRc5kZhOMycENEpA9e9KMtbaJYfiwEeX+Z78iKGAIUEPsWJWZTTCmRamkBhLXHdQQAJgiZzKzCcbk4AYJSPgFNSgApsiZzGyCMTm4QQISfkENCoApciYzm2BMDm6QgIRfUIMCYIqcycwmGJODGyQg4RfUoACYImcyswnG5OAGCUj4BTUoAKbImcxsgjE5uEECEn5BDQqAKXImM5tgTA5ukICEX1CDAmCKnMnMJhiTgxskIOEX1KAAmCJnMrMJxuTgBglI+AU1KACmyJnMbIIxObhBAhJ+QQ0KgClyJjObYEwObpCAhF9QgwJgipzJzCYYk4MbJCDhF9SgAJgiZzKzCcbk4AYJSPgFNSgApsiZzGyCMTm4QQISfkENCoApciYzm2BMDm6QgIRfUIMCYIqcycwmGJODGyQg4Vco/VWT9bYpCFBVZzqUthKTY1JdwtHORksbima+oj3TFf+VX60NQcxUGj1WCUe7En8KYRajJGS5FtWZruRfyb9s1CTlTjOn2cM24WhX2l9pf6X/mVRrSW3G2g2GP0r/27L/7d2rJ0WpjV4FdV8FRdxK/1P6X8oBfjml3H/K/afcf8r9pykCeuct91/fQ2QxKc8fLZ8/mvIp/uoRk8SRdl+G+4/MWEsBcQ3KWGNScGIB5JggcliqslaqYspEV4mxxtRqKv41xyVCeZiyqPrkrhgqoqvEWGNK/CkCPhol/0r+yQw1yotJv03vs6bS5DLR4Yw1RpBeKvlX8q/kX+yTfcPI2hQLkzQ6tMMZa4zgvDSztb9ea/aSU80H1r4859/yr2Vfkutfzt815Yz1rTYzVASHM9YYwXppZmv/5fpXLqeJ/qqZsoFxOGONEbyXyvUvz1/l+as8f0mf4DsG6ikqA2v5I2gFW+mI1DppTCpSRYvcUNirPJ9qAqfWSWOAxXkltHBJNKBXed4Axqh10hgDx0e7hBYuiQb0Ks8bwBi1Thpj4OKfQsHrz/CeN+GSKDrTR6nBbLh6RjlTA6t1pRqFS6KV8CrPG8AYtU4aY+By/SkU5fqnbBEuiZYoXuV5Axij1kljDFzyj0JR8i9li3BJtETxKs8bwBi1Thpj4C9F/vXs1UsG+IeP8DPWNAbVaIncEDyv8nyKJDi1ThoDbP1uKeUaCnuV51NN4NQ6aQywxX81WiI3BM+rPJ8iCU6tk8YAW+JfjZbIDcHzKs+nSIJT66QxwJb4V6MlckPwvMrzKZLg1DppDLAl/tVoidwQPK/yfIokOLVOGgNsiX81WiI3BM+rPJ8iCU6tk8YA++WLvw2stQ4QFn50CGONSREUrpWejbCBatFcUh0suvCiQxhrjC9AfCs9w2AD1aK5pDpYin9e+NFFyFhjfMCIb6VnGGygWjSXVAdLiX+Jf8k/10KMNcY3GOJb6RkGG6gWzSXVwVLaX2l/pf25FmKsMb7BEN9KzzDYQLVoLqkOliltf71oYI2Hb4cPHyrU15J4eAJVSy4lNB/vlPpPpVrXNj3Pv/hHBEr88QdURCRRxAZULbmU0CX/S/sv/V95/inPP66HNNYY32ES30rPMNhAtWguqQ6Wz2P7o4G1iXRO7o17O0Nj/FlmfI5ABxwhmZGE+GItps+mijJgirtdgISscnnJ4l8TsMRfIpAlR8m/0v6oj6P/S/9DYXDdvetwteOwdmNMtds1OUeU/rf0v/wAHrcsOUgo9//p3v/0lK+C8sDasEqzLvEv+Vfuf+X+X55/yvNfef4rz794SGOaPag5saL3RSKfI8rzv3/+txlrLqISthSmxNVim0fWzFU1ZKV+b0WIAUp1yWviPFr4vIiZq2rISv3eihADlOqS18R5tPB5ETNX1ZCV+r0VIQYo1SWvifNo4fMiZq6qISv1eytCDFCqS14T59HC50XMXFVDVur3VoQYoFSXvCbOo4XPi5i5qoas1O+tCDFAqS55TZxHC58XMXNVDVmp31sRYoBSXfKaOI8WPi9i5qoaslK/tyLEAKW65DVxHi18XsTMVTVkpX5vRYgBSnXJa+I8Wvi8iJmrashK/d6KEAOU6pLXxHm08HkRM1fVkJX6vRUhBijVJa+J82jh8yJmrqohK/V7K0IMUKpLXhPn0cLnRcxcVUNW6vdWhBigVJe8Js6jhc+LmLmqhqzU760IMUCpLnlNnEcLnxcx88effBJefuml8N5774XFF188LLjQQjLg5D3Xi+aa5DVx5gBMXgTaypmkMyv+eWzLR8FCRkwezBT1xHm08HkRM1fVkJX6vRUhBijVJa+J82jh8yKhN81YY9Uw+niBDXCSDJhSv/c1AqW65DVxHi18XsTMVTVkpX5vRYgBSnXJa+I8Wvi8iJmrashK/d6KEAOU6pLXxHm08HkRM1fVkJX6vRUhBijVwevEiRPCyFGvhrfefCvMM8/c4etLf52ubby6eRGrrKqGrNTvrUhL/3xc/geDL1E5ZDPBHxSQvWfogGl1/sV/iX/JP2vxqbkwV29EYq+qISv1e18dUKpLWZc4j250FAF5TekwvecqJqGKf45AinriYngTqQdRbFU1ZKV+n6oq8UeUNCYp6onz0WoMdARITfxVUIziZ1U4P/5SaCGqwZ7cSCNKUijQ+Wcb6Q3rTI4t/vWvCCX+7hbqcklZt3c2STqRS/6V9uf7Je5gKDFK/zPd+98h/xoSnn7mmTD2vbHhvbHvhXfeeTeMGfNWWGqpJcORfzpquvufWe4/H437KFxy6SXhzDPPotybyAko+bfCSiuGvscfHxaiAbam7cty/xsyhPLk6acpR8ZSrnCevEN5MiYsueRS4aijjqTLWPp/+wnl7nHKur2z+ftfr570KijdBtPHCwhY+r/PZf/DL5Lcfvttoe8JfcNbY94Os8TW0a1793D0UUeHNb/ZO3YlfI2JtVW0fQ8z46//Rx9/FK688ir6o8K7YSzdC959h9o58W+9+WbYf//9wzrrrOMPUPgvS/9XO/GoKOeP9C39/2fp/7Uf8Fk249t//lu/+C/33y/n+I+bseYbJPFys/Y6r4iPwF5lUPd4bHZjYr1OtnIVpgbxiuJfbkE+JBa+En+7PVt8jCn5J6Fw8bC8qTA1iFeU9lfaHz0CxpQ4+JCDAw+a8D2DZwRNpP0slE696NW0M886kziXO8I6uZJ2JtYgXjHz5d+Qu4aE4449Lrzx39Fy/kv36BGef/4F/VFPv5xWWHGlMGjQwJmq/+EZdYMGDQq33XZbWHiRhcOhv/wVzYhZWi+BD7dovKJj8T/4YMoTGoRto8Th9oOtd2/KkzM5T9zm3YnaKzrmP1Xj63I+PVuDeMXM6Z/XWOP2N3T4CI2uHbIxM1X++XDXeHfIavOKmTP+OM7P+vzxwgsvhqP/fFR45NHHqMr20KVr1zDuww+kzWiraQ//vGNwmHfuebR/yYIXY8M6C5kx0/36c//3gx9tIv0/DxhJIsaRo2OPOzZstMFGpIMhO/BcqEG84ot9/SUQ/nRrinL+5fkrPX9VG85n7X9q6VZTlPwr+Vfyr/k2hrYh89W45WhP7vtz442RFmZYkcSmAN7zlh6ZU0FwoIr0e7V4u/HGAO8UwqrMe96Kf40DrilLiBgoEImmGCJ+hjUGaKcQVmXe84byyWviXEkF2z7VgfKGNQZgpxBWZd7zhvLJa+JcSQXbPtWB8oY1BmCnEFZl3vOG8slr4lxJBds+1YHyhjUGYKcQVmXe84byyWviXEkF2z7VgfKGNQZgpxBWZd7zhvLJa+JcSQXbPtWB8oY1BmCnEFZl3vOG8slr4lxJBds+1YHyhjUGYKcQVmXe84byyWviXEkF2z7VgfKGNQZgpxBWZd7zhvLJa+JcSQXbPtWB8oY1BmCnIPbsAWeFYUOHhYceeUQAKL9m716hv8zemr7+8UONj4o3+E9eE+eOXMG2V4u3G28MwE5B7KuvjQqb/nRTzFELBx90YPje99Yj3f/Zj2Gevzb4jjvC3PPM444P9THVOl3N1mcnBniHEjaVZcSUnv+giwaFU085TXzzgMz8Cy0cbrzhBitvXoz5bP4HnH12eGDo0PCo5AkdJT+Z0Iyq3pQnZ57ZX47cuzLemM/mn+NSqwpVRou3G28MwE4hrMq8521K469o7FMdKK8ashuTY0USmwL4q6C8jaBXQXVLBcGBRoAjavF2440B3CmEVZn3vOH4/YGjBKgi/T7VgfKGNQZ4pxBWZd7zhvKfR/+fjh8fttl66/DyyFfksv/4h5uEX/3yl2H7n+9A/cyr2mRooKrfKafo7K+Z7Px5Furvf/e7MHr06PDiC8/TOegcHO7/jjv22LDhRhu56yOXK+7SNcT1Uw2ZjQHeKYRVmfe8obwviBKgivT7VAfKG9YY4J1CWJV5zxvKF/8pTuBANVJ+rxZvN94Y4J1CWJV5z1uJv8ah5F/KE3CgiFCiavF2440B2imEVZn3vJX80zh8mfNPZqxZmhgTAxP/0sSSmYxB8IAlmjLKFfB2FI40Jw1lCBBXGkTJdCDFfxYBC5CPt0OIHaBIc1Lij/AgbCX/S/sr/Y+0BmsaxqCRREr60f/9b9hkkx+Rgm4E1HZ6r7lmHDAhlZRD4Uhz8rntfw499NBwxz8Hy61q7XXWDv369QvvvP2O/IjUkwqha5c5w2233xJmn30OBMPOF1Gp3dumc/+z4893DE8+9UTQzxfpNbvl1lvCfPPNpxd1OvkfPfo/lCc/lvNvo6mNvOj+WTxjzQKh7v2XRsxkTMSAVPWNMpSR5uRz759n/vHfS+VVUJxqFh8o8xOHtsSfgpU9w1JkZnD/f8WVV4Tj6bVx3rp36xauufbaMOecc4Zttt02PPfss5ajAwcODCuuuKLgZGcXMaoaZSgjzYnVbZV+xvY/6KKLwqmnnqLV0QD6sccdHTbaaGOSc8c4Kqinlf/8WlKtNsWg+Nd7NMfEroZj4hX4jNe/xN8yOcYWmV7yzyceolLav7ZHy5rS/ihN9IbcMkcQLANERaMMZaQ5mab9X3oV1F1EHCvTyqF4k/HAJLSZjBFMAka9UxT/lkQWNGIQIVBvA59siYMNVCw1s1OU+Jf4x04MOcMUGQLqbeCTLXGwgYqlZnaKkn9fiPzbZZddwiOPPCrP1L3cK35f1Ov/8MMPh1123YXOlx8A2sNlf/1rWGbpZSTtBwwYEPhf1zm7hgMPPChsvulmdI3RIpj+b/P/t789Itx88y16QLH9DX3ggTDLrLPaQeIIQc3gmGRLnDMLKxZn1jx5mGw8Y41eBe1PM9ZK/1MNm2WIC11LTK9ePcU2nF4FrW7V+Kvd1Vr63/95/o19//3w4002CR98+KFc99/8+tdhy622ki7jrrvuDkf89vAw7oMPw2ZbbBEOP+wwu8TpKibOjJH5X1z/l19+OWxBx8onwOl13DH0KujG9Cqobe54S/79z/Ov9L/ZzVmyFBkKaqnrmGRLnDOnempmpyj5X/K/PP9Um81UPf9kz9OVmqSlueamZqeYxu0vDaz5A3H+RF2VDVs31DUGTgyB2umvR/pjJKmNq1ZSlVsCJxVaKySg4r/Ev+Rf/UFCWkm1vVVla0p1Q11j4MQQqLS/L2b760MDa/qqX6AZazxgUlk7i7PgC3T9L73ssnDyiSfFB4C2cP/QB8Kss/AKc7qNp1e72uiBaVY3WDWznP/Il0eGw484PDz11FOh+3zdw2G/OSyst9569Ztoy0ZdN9Q1iISjBOqzW5/w2MOPUShoZqMbgBVUtZKqbFXVDXWNgRNDoC9i/9ObZv5NpHimV0HTKWfcF/T8+Rw/z9f/iSeeCDvuuBOdBJ0FdSGDBl4UVlhheTupie0Tw/hPx4fZZpstXs762dY12ZVXgUAzIv9HjhoZNuM/JsTtWHoVdCN6FZQv0ozwD781WvyX+Jffn+X3t/zJotY7WH9rlpadat1Q11gtiSn9zxe+/8kH1uSCyx+YNAlajOJZhrgsUtYpGARRKO9YRcMZUQ+zGNRIAS/+bbijxL/xrxg+X9A3ai5VMgqiUN6V/Cvtr/Q/07P/3W233cNDDz8kvw3XxMcLvsDtT9YpO/U0uq+1hzm7dqGPONxl3dPn5f73Ps2UmWvOubR/nEH339123y08SHlCDyA0sMavDOuroOX+3/Hnn949e8og7jCssVbufxrMz0n/8xh9rOAXfXbGI03425VXhiW/9rXUn1Q5XF/SK+sUjIUolHcz9vln1MhRYbPNNpV7AT/088cLNtxw4/L8H68LLo9cGL045ffPDLr/cCMr8Xf3mpJ/khDl+cPlRBl/oGBQR9Fqcx2IskmhA2tJtipylZMca+COMqgL1NWTq5zkWAfvGIu6QF0tucpJjnXwjrGoC9TVkquc5FgH7xiLukBdLbnKSY518I6xqAvU1ZKrnORYB+8Yi7pAXS25ykmOdfCOsagL1NWSq5zkWAfvGIu6QF0tucpJjnXwjrGoC9TVkquc5FgH7xiLukBdLbnKSY518I6xqAvU1ZKrnORYB+8Yi7pAXS25ykmOdXBjd9ttt/DQQw+JrAMmvCh9iw11gTpYrnKSYx28YyzqAnW15ConOZbhF1xwQTjjjDOk5Hzdu4dbbr3V1TIZFnWBOniucpJjHbxjLOoCdbXkKic51sGnmt2d8uTBBylP6Lmldy8aWDsrz5PcjZMcO9VOqwVQF6iz5yonOdbBO8aiLlBXS65ykmMdXNje9PECNssaa1Vjk4y6QB0mVznJsQ7eMRZ1gbpacpWTHOvgHWNRF6irJVc5ybEO3jEWdUX6CH3Ug1+R5o1V115zTVh88cWjFB/wUYZBn3VDXaCuvlzlJMc6eCM7ahR91GXTTcXGR38MfTV5o402TFjUBZoslUEPB3Csg3eMRV2grpZc5STHOnjHWNQF6mrJVU5yrIN3jEVdoK6WXOUkxzp4x1jUBepqyVVOcqyDd4xFXaCullzlJMc6eMdY1AXqaslVTnKsg3eMRV2grpZc5STHOnjHWNQF6mrJVU5yrIN3jEVdoK6WXOUkxzp4x1jUBepqyVVOcqyDd4xFXaCullzlJMc6eMdY1AXqaslVTnKsg3eMRV2grpZc5STHOniNzWesmbmhdINK4KJ3RmONsZtk0jT8tcB8M+OR0dCgEovondFYY6y2pGn0EB0x8cioblCJRfTOaKwxVlvSNHqIjph4ZFQ3qMQiemc01hirLWkaPURHTDwyqhtUYhG9MxprjNWWNI0eoiMmHhnVDSqxiN4ZjTXGakuaRg/REROPjOoGlVhE74zGGmO1JU2jh+iIiUdGdYNKLKJ3RmONsdqSptFDdMTEI6O6QSUW0TujscZYbUnT6CE6YuKRUd2gEovondFYY6y2pGn0EB0x8cioblCJRfTOaKwxVlvSNHqIjph4ZFQ3qMQiemc01hirLWkaPURHTDwyqhtUYhF9Mu6+++5hxIMP0ptM7aFXnIkEK2gLD9FRC6sv7JB6qM5orDF2NknTeIauVo+M6gYVWy44/8LQvz/PWGsL3Wlg7dZbaGBNfgOnAuBAuZznWc63BmuDSsqI3hmNNcZ8Jc3/3v/ue+4RHoxrgfFafPLxAguCP9KobFB9ns+/1eno2TZYG1TV8+/FA2uEGzGCvwqaCoAD5XKel3qyXYO1QSVFRO+MxhpjvpKm+PexQOh5YG1XGljj2a+8TMW1110XFltsMTU3FWCL6J3RWGP+Z/EfOepVehWUZqzRYerA2rFhY34VFIctXNMOJZytQSVW0TujscaY/6Qp+edj4aIc2QZrg6rEnyIgcXHBMdaYkn8UJm7/KSI5L3mU7TwyGhpUYhG9MxprjPlNmuLfxyILfQpqrm5VQPTOaKwxX8r408DaxPZ2mv+IGW8pHCmu0IGyBTxoQlc5j/A8cPQYUfyX+MuP0ZRXyA6myBrQVjpfJvFNpZKVay/5V9p/6f+0TfjWglYCHSjrwYMCu8cee9AP+xFi/yYNrPU/k2dzxcZtpRQ9ceLE8MILz4fnnnshjH3v3fAprUfGrz4tu/TSYYEFFkCVVsr7Ag9q4BrjEZ4H8LO1//MvoIE1mbE2kQbW5gu31maseZ+eT/7Hj58Ynnn6qfAMffXv3bFjw1cXXTQsv/zyYVGivKEUaFX30UcfhffefSe8++57gdd0W2GFFaTcW2++Ff77xujQteucYYklloj3GFwLgYSPPhoX3nvvfYk/L56+ymqr8fJO2Qa/oGwED5oVyASPSPwee9AA7IgHpaZeNGPtrLN0Lb6ESJVAN37ChPA0rQf3LMfpvffCV2nQYTmK02IxTqmE51CadYmfQHXx2nLPPvsMxW1sWPyrWtciVFceoVQqlQ5hHMX8fbpW71DMP+C4rbJymCWurUcPVBT3/4Yxb44JnWfrFL72tR5xjT1fA47xs+Wfr5EH1njLZ6x5hOenvX/UmFPv0/NATf78331vbHj66SfDO++8Gzp36iRfw1xgwQVrP9ZQY069T88DNXn/KAXKJcGDorY69QjPA5n888Ban113ldej2Xo9DawtSjmOUqBsAw/KuubNIzwPdPLPmmZE6x/GjOe29OILLwhdaqmlwhxz8JePQ3iVBtZ+uun/Eact6rjjjpFXQcVou8/uv9perWph/Bl5Hqjivzz/luff8vyr/UFzDzHp/q/0P+hLm6iPqOeB/WL2v27GWjxpIT4AXs/B8DYEZ8qplSYme58Z9QrAUMmfqYyZcqcOaaWJKf7xyMMBipERYlGq6B2O2Q5sVjMxJf4l/ummFDNDiGUJZZjXc8J529QnoJUmpuTftM+/vfbaOwwb9gBdGPraY8PHCxB/ntl18in9wps0AMGXlG6vUkZJuwxS7bjTjmHbbbehjwF0cpddceeff5580ZJ/xM3WuTMNGtFwkCRTW5g4cXwYO/b98Oej/xyWXWbZcHzf4+mDCo+FOenrnLPSD/PO9CGBiRPbw8effhI+pgGSE084Icy/wPyZ/xQZf1ycb+3hpRdfCof88hCZHfTmm2+GcfwVvwhbYoklCTNR6ppr7rloJtZZNLDVlQvKFmFyPuMnTgi30UDc2WedFUa9OorsdAICUBR/UGDfffcJP/nJ/9GPbbLJ+ant5ptvCieddHIYM2aMqOG/R4+vh5NPPjH8/vd/CI88+ojFbZmllw3H0RpHSyy5ZHiIZhT+5te/CW+9PSbMwnVSlYj/A/fTxxc68dCaOFOjHReJeoDMdGjTow9hrz33CkOHDxP/vOh+/zP5VVDyKQCg2EV7mEADsLfedEs4i76w+uqrIwlFOIYyjDZ+BXefffejOP2Y8gDHrbbqngfnbruF6jrr7DDqtVdr59+9G8V8vxhzqSseC5Gbbr5ZYvv2mLcz/+xxCH218a67hoTLLvtreOwxins8Rj4fvo4/+fH/hT59dqYvxM7JFjlPu6QsI67iLvqs6R1ObPlOB9baaGBtWG5wktVMzLT279y0ZKfG/wRqHxddNCicfvoZoY2aFM/jYubXh/46bLX11i19TMowNf61nljCF9QrOCk3LW2+GsT/5zvsQF8C/YAGuT8O/x1N/WFcBJO/Jjz//PNRXXTedP5/PvpoGjRfTuR///uxcPTRx4R55pknzM4fM6Bc5QHd8eMnyGD5Bx98EH516K9C3+P7hm7du1EfObsMrNOf0cOnn3wSPvn4kzB7lznka7w8QMxfNp577nkIN1vo1HlW6U8/Hf9p+OCD98MJJ5wYFpx/QTkMy1O6GldffU244YYb5GM16H8Y1KPHUuGnP900rLX2WmGrLbfSchPbaI01GlijGWvTK/9bBt0ZmuKvZn+dDUUmr2ekt2nJqdlbaWJw/bW892Oo5M9UxkyNW8NaaWKK/5jSEp0YGSEWpRJ/5LuFxBjLqalhrDQxJf9K/sm94AvY/tzAWt48rAFAXWkIfCPFM6xiXQmwQvmRXR6FURNRAJyqwtYQpPANsfgv8S/5p41G24prMWCFlvZX+p8Z1//utddeYdhQ+mFPIza9e/aStbOq8R985x3h0F8eKncBfrTYYovNw6qrrhr+85//hMF33EEziZ6WrxvyTZf1J510Uph3nnmz/v8vf+kbrrzycmkAnOaz0I9R/su7U4QLzjs/rLzKSuHgQ34ZhvzrX2rjPWF5oIrLsX/+8c4zxPyGJmQ6UuD+8/TTT4ftttuB7n9aA++b/AcavLvxphvCAgsupD8mXWUfvP9B2P+AA8IjjzxK2vawIM3AWXfddcNyyy0X/v3vx+k1sGutzDrrrBN+e/gRYb4FFzDd5ZdfGfr2/YvU6P3z66hfmfcr4YWXXgyLLbJoePW1UVS7Xv9lllmGBn4uC3fdPSQcfODBdv56P9aDG0pfNZ1lllnFlh565BDt/Bn5We+/e9MA7NBhPABEedKb8oQ/XuA2Pif2zx9W4Dg99vAjYSLl1EIUg3XXWTd84xvLh8cffyxcR7N6cP5rr71uOOKII8IC89NsRy4slaT+j+s6gGP+6MNy/XnWU4r5v6UuPee2sNY6a4ffcl2YOUl1XX4Vxfx4ijnxOsuDHaibhRdaIIwe/YbIiy26WFhiqSXDIw89HD4c9wHBNf58jU888UTKNR0cEXCLnRy6t7FPOjg9PvZPfBQUS69e0wAlb8OH0augbBNDOn8xyk5LJLnO1RCkmJx/OzoUFtox/+/TwBDH/+6775aD46bG13+VlVeSwerZZtOBIjaqOzg1xefm/DHTkM9FLyn9cUCyhjW68fn/mQbGvx9fpRw6dHjYe+89xchn3tT/nEQDYgcfcpDlX6yKnKT+734aSH///bE0k0zXPmvyf+GFF4aVVlzJrj//MeFPfzoq3HffPeZ/qSUXD8ss843w5JNPykw17v+7ztEly3/7Kmi8YnY8DYy7mmolxYzMv+IfuRgvTol/yT/qHLR/oLZI+VC9/5gVjUdox/p/VGFdAylK+7cIl/hTPszM+WcDa7X09y3HsjsxNXwyEYdmARqNEEENxyXw+AksgRC5rG4VavgMAwegqJMo9wymNqb4L/Gn1MBtg3OEcqPkX2w4dVLaX6W/ykKEfgU0GiGCpo7oC9P/yMDasKF0wrPQgElPGjA5K0UmnvfBBx1MM3yGkF4VvC4bfyUS7e/Gm24Mv//t76j50eAXNcnNNts8HHH44ake4p5+5unw+muv0et474fBd94Z/uUHzqjeXfrsGrbbftswLw0y3XvvveGA/fcXd+08GYtmf6y+xuphrbW+HRZeeJGw9tprh7nnmdv8i6NJtP+xNMPjwYdoHTk6vlto5t3NNJMJW9++fem1P3aijtZc85v2ahQu91h69XKfffcOTzzxOOHadPDwZB08RD2vvvpqOJkGFO8c8i85bh4UGzRoUOhMs/N4GzlqJL0++nR4+aWXabZXPijFBb773fXCHnvsRgOA2wteejYK97/uvit8SIN6D9MXOV+kwbezzx4gdrTnB2hgbVYaWJve/d9ee9MArOQJD6zpjDVcfz2gdhlU23vffcMTj3OcdJD15JNPllk6ON7XKAd4sArXX+M0kOJEs3gQcOJ4Vs4+e+8THn/qCbn+q662Ks0+O4nqmperJmR7eO2118NJXBfHnAZFl1122TDwoovk9UPGjKKY86Dvyy9zzPvL9ec0wca+f//739vAGc/2Oeecc8PFF1+sdxbCdpmra7iSBkUXWnghKqb5z+VxPqirI/HHAI3OWOMrnuqXeiGCOvu08G/HbvWaIzVBBDVcfv5jaaBnHxp45UEabv8CI8IDkxdffJHMZq0db3IeC6Ag07jBL2gL/4KeRPtn+7T0fzfNdpzQPiG88PwL+iEUPmTKv3322Sd8fZmlNRVItdxy36AYcN6EMIZmmz726KPh7bffoTUe+8vMVTHQ7jvfWZdmjG0W1lyzV3jggaFiO+/cc2U2HPq/vfbaMyy40IJhk01+LK+P30QzYK+84kp5PVqSlfyvtdZa4fs//CENZK8jbY7rf49ewd5yyy3DW2PekvzvRjM8Oed58B/bazQTtO/xJ8gAvj5w6/7YY+iroBvTGmszWfz5uGvXcwZe/+K/xL/kX+V5urS/8vvzc/z7u42XWNOnPtwW3X2Pbzhsjido98MENa5mqygqopQTXYPBq4r/Ev+Sf/rjwLcLa3iRqdkqiopY2h9FQGLSEBivKv3P1PU/MrDGr6LR4NWa36QBk/466ONjqoNvwyz+P9vmZ+FXv/qVpTRjDyV58J2DA92f5AfcxZdeQgMd36jeqqzM7+jH3c033ih1MmjvPfcOfXbpI/YJEyaGH/zwB+Ft+jHI66CdQK9+rrLKKua/Wqk/1sldf3wVlMvwUNr9D9DA1Kw8MEVCw296PqCjjjrKZlp9lWY3XXHlFWH22Wdnk2woyj+eN9pwIx3Aobr22GOvsBu9slXdjqZXxK6mLwiyfy7Lfm/8x41h3q/MQ4OG/IOXZ+e1h9VWXSWcR7P4sDH25BNPCpdedikhFPMAHf8sdPw49Mmdv68LZUSHk4iAihj4leGhNLDGM3HklWE3OAjsUX8+ir6MeK2c/6K0BhrP0ptjdh4wyzd+HXajjTe289+TBg12pYFVOwmCH0kxv55mAbKSF4S/ggYRZqO62L/HjaEc2Wjj76uKY777HoG/dMubh3LMr732Ghn0YNsqNLPyFBr0m5tezZMtgjl+f/jDH8MNN95Adapy5ZVXDueff4H4rfrnst7P1MR/TVpjjcvKGmu+kkqd7IM3gVRwphcEYWbw89+H9Fr1vvvtJ68X8kVA++9Cr0UOHHhR+BrNBGzaaqdRUVREqUJ0DQavmpHnr18F7UPXRYeYzzn3HGqzq032+fv2228Pv/7Nbyz/96APg+y2C+Wsa5DXXX99OOrIP9F5q/J6kmU9QXeyb7zxRvgh9ZPs/xc77RT2o+tQPf8/czu6lmaJUjX8s+CcAeeG1VZfTXPJXRh+1fTwIw4Ld975L/HJ/c9xxx5LXwWlgbW4zWzxz44LxziD85/duktSi79ePRxpor6MaCuKipggDQavql7/4j/F3HM+Zim4CVGzk0l0DQavKvGfuudPi7gPImJtRmVK/KkPr8SJI+NVJf86ln82Y82lmrKyz0JMmkq36s1WSpW29/M3gaGbldyVIRutVuhlz8cCDSqkhZpoX/zXLpv8GmgcDa4G1MueL/GXCDSEpOSfBsX2pf19qdofz4QYRq+i8fVfk1/x608z1iq3jVtohtcRv/utNhXCXXLppeEbNDsIbYfb1uM0S2knWmNNClP5Qw4+mNZb245NaXPtj9cU2p5mZ42Ma3CxadCgC8OKy68Uzjl3QDib1ufie8FfaRBpafo4wrS6/1xw4QU6y4Qc8h8A7n/gPhpY6xQfTkhZyf+XX3opbL7FFqGNXpViEH8FcE96fVY3PmofrHaZUcY/sKXPJttfaQ2vpWkWi2wRfv7559MHFPqL/4k0orntNtvSGnC/JHR7eHDEQ+Gaa68OPLNk661/Fr5KA1S+/z/3nHPCmWefreGg+zLPcJGBQe+gxqv7eJJRANGDsn3l/LWq9rDXPrQW31B+FZQH1taUtZ4kIPH8X6I4bbnlFmSleND/u/TpI4NxUgA7F66z6RzOpdlhfP48LHEpvfK6LMeJ/L/8ykthC5plwzzHpA/XtffeqMVRrXAAzeIbcA7P5FP5sr9eFpbhnOEDidt5551Hx0yDxlF19d+upvXrliCrnbn4Yp9j338vrLf++uaf/5bJ5VejD0XkmzshMXjZ87FURcVr1fH5j6CvraqJ9i3iP63yH+efzsM82/nXMC2e/ybSmmq/prX/7hx8Jx0/16N1cXleh7AnvVqebdGc6dKZT7V/82cVegeej4AGFepQE+2nIv6PPPJw2GUX+niBHHk7zXYcEFZffY3WzqL/cePGyevR3P/w9f/qYl+VL4rKQG70z+st8ixe1nH+/ZL6h2233dbOlBlet+0Xv9g5zEkfO7n1tltpsJ8HsZHz1Jc8+JAMNPM5suvvrPudcBLN+sw3O/PwMM3q3W3X3amv06gce8xxNLC2IQmEKc+fedhEihfULF72fAQ0qDTScuXlWk9N/qGsuY9tSeUGZw0q1KEm2k9F/qNs8Y8I+AB7PtobVIihmmhf4p+6MAsrxaX0P4iGo9WE8rLnS/5JBBpCgvYnA2t+VFINXCzeUKWw1sB73tKtlnlfu+cVK3spSLvGZCaPdKPFrKTiX4KVoiwhlZ1EmuNZ4i9ZFTNPY+M1yru9hJR2Jf9cUBJb2l/pf6ZV/ytrZ/GMNWpua8orfjT40ND+nn32OXm1jmcr8Q+5qv/R//1v2ORHtBg93RvaZ2kPe++1b9i5z86StK36vyfp1cqf77iTdpDkcyF6dexAeu30MJrNwQdxDM2Y2JhmNlW3z5L/Ay84P5xOg1q88b2QB6Z4xle2ufPnWVgy44N7cTq3C3nwb4UVa+ePXv5Fej1sq222IqzeaXlQaJ84KMTVsvaCCy6UwT3mKZNpdtaR4Uc//FE6BOc/KZU7n47/jNPP0FlxpHrggfvjwFqMsjiBJy3TKv56oWF1nhr8y0cuhtIrw/SjuxcNmJxFAye6CTgc9ec/h+uuvd6u/4UXDAorrrSiQOAhHVUbfV32xfCzrbeU8+fQ9tm5D61BpYNnRx3JMwRpthr3//T/QIrXiiutZAdYvf4vvPiCDEJyzDn/dt51Z8q/fahu3dg/D2aewa+Dcn5SpbzW22KLLUoWtlY2KvinP/0x/P0f/xAz/5X4hz/aJBwpM4g4DaZN/9O7V085lvyroHQscuC0m8nvfwMGnBMGDMBAPMUxxv+PR/1R+gI5DTodRJhlbRW5phL9z83583qLu+yyczzBNpkNtjoPvsZpBZM6f/5YyU03/kOuPwfokosvoXUIv6GhoIL9+58Rzr/gAqmbq1ue+pxBgwaKHfnXr18/edV2q623og9EcJ9JGzuN/nnWJ+e5pBHpB9Cg/Bo0Wy0eMMBEdXv4oYfCrrvtTnVwJe308QIeWEsz1oCDf5UZy1u8ps5/xaKHFvdaRsDK+r0UpN1Mnv/pHJgr5y/xkEuq11UuY4pMuf4SC42NxCprC6qRvQSOdiX/XVASW/qfafP8EW8WKbDgvoT5pzPWpG3KTpumBIKiEvt2xGdSNCuSCfVSNTMr3MODsFys+K8Hr4Umi2km1AvUzCX+Jf9K+5MOx5oCN5vS/9Q7jxYa9Cl7y8cLaPF0upP0oldBz4qvgvpiwFp4SfHfN0fT1zZfDq//Z3QY/frr4ZVXXgk333KzFiPgXvQaJH+5rtWGOi+j2W8nnXgywXRADl/T3GzTzWRhey4PrPff0fsPD2r1P+MMmieitQ7lV0F5jTLezIGKvN+avmb4/AsvEMfDMW20NtgQGljs2rL/4TWN1t9gfTo8HTbj9ciqC/0PGjgonHLaqeKEXV7+1yvC17/eo9E/g/z58yuJfPw0QkQGnnE3NHSahUa7eGs4fjXU977OzEEdKmae2SiL7JOT3vQK45ln8eBkHCahyjhOPMAlGx3HkDuH0Bc1KU4ttnc5TjQrTA6ZzkM+iHCWvoa89c+oLhqgxHYnrcc3J77OyUo+eNf/jX1X68L5N33dVgYz+58uMWOf19DAHb9iqv65UtpEUHbw4MH2ujO740G466+7Xo0V/x19/uE11tilxpUY518dJXfMmXka+bc6uT4TIu8IX6v7778/jKS16nbc6RfyVd97778n7L/fAXQpdDAT5XeKryS64o1s5jIT6vCamRXu+nc0/uxJYlpzkB9DzRz988BaH56xJgNR9JolzVRdffXV88ItpHtoHcn9aR1J9d8mX6Ddm2aF8sZDv5vQQO5/6Y8VKuue849zlvN/YpgQfvD9H9LaaW+Hc2j25xpr0Ew5SxApFrajGW7PPPssqbnGWcLt/7xNPpSS6szP/8FHHgy704w1qYd84OMFrc6fgTEU6rDiX5XN+6zOTKjja2ZzWvxbKDhsJf715GmhyXIqE+oFamYLesk/CwWHreRfPXlaaLKcyoR6gZrZgl7yz0LBYfsM+ddG08LpMdRvUnVUuEsQ1d7KIJVbGFEtmdvpaYV/SOiGWvSvvdDmNpYYxxshWrhQdQujFpayxX+Jf8k/tLTYXqhR+azQ5gIbS8zzVtpf6X+yNJCs4J1mS8wZIrooPV7xo0EgHlgjfVP/+9/R/wm33Hp7uI1eO3qCFiqXmQ38q1buSFwntjZd64o+cMBaZDFbVY5aIpzRhxxySBgyZIhUw9V1p9cgr/vHdaHL7F1ihREv6NQrqBE21M60df7zLJD+Z9AAS8TI4v8NM9b4/CeOnxC++a1vEZZ80F+P+Qf03ffeF2afjV+5wpb75zWnvvOd7+JE6ZzawnAavGuLg1+Mvohmnpx66mmG4UGcueeeGxWKvin+bDg/DgzKX7PpeB4YSjPWZukUy3LtvLU+fz1a3fNpZRdHytKO9FX//CrmcJqxxi9u8szGNFjYToupTwjf+tY3UVoqvfeee2VNtKoLldvDhx+Ok1fTvH9ew20ira/3rW9+S2Y9zkJ5xfh777uHBnNmlwNr6v+kLloAPm1tYajMRJzFTvHCCy8Mp59+uqYsXdvreJCC1svz/q08OX3i6SfCTjvsKOUlIHQdh9F1pOmNlSL+DJnnbcrizzP/GNo0Y60afz3QGd//33DDDbTm3O/Jveb/Eb+jhe/p4yH8evSH9Dq3DHDF9s8L4vOHKfjVagTeR4cjo3LUVo0M4I30M8v52wHJVc/jL2us7dqHD1YO+hyaEaYDa5O//p9+Oj5ssP4G9BXOD8UFz9b9+w3/oJmos4R/P/pY2GmXX9DYuea/BITifwCtobYDzfBlbw/S7LLdaS3B7vN1CzffdAt9GZgH1zmgvLWFTz/5NHybPvbC/Y/O0gz0yj/183wdW1wc1Cnxp4H7446mNdZkxjAuVH7+6gs2lpL/Fi6iOpbxRbUyq/LzcP3tYOWKsFTOX2My+fznHEWOaBm3pzCW6+/vdGgopf35qGjGIDYslfanMUlty0cHEWrV/2tZDeOXrf3Rsz2tDo1bYzVqMTIt1Ba3yTFZeRZ447u5bGqVfQaEvXV/mRCT5rJqWeCt+Nc4+EeTLFDRTKSFOgEmw2XlS/w1WiX/YtZodsg+S5SUVC3UCTAZLivPAm8l/hqHadz+99hjjzBixAipG7OrqvGfSLecc8/j174GEE6tvF9ogQVl8eyl6euKs802O623dChdJ7pt04DPXlTvrnER+XjgLcm7774bNthgA7HzZZ5I/y7/K61NxutkTePrL2us0auU7IcnmjQNrOkZBvqC39th4w03okMgNI/40XbPPXfTWkZzaBQAFIvuPuT1k9Zdl+aHkFFiEcLf//73sMgiixjqIvpy5amnnCL+uWoeVOzKs+DillWrbi3/L+BXQelVVsHQbih9FbT6KmtWHpVOBc3Ks0AbL7CuedJOs8vWlC+bSkjo+DlOG23Er+wSOF7/++6hwTD3gQepxO3G0QDkurTmU2rXGqcuc8wRNqDXz/j68MY+7qZButnnwGCmHp3slaVBujiY6fz/4++02Psi/KqnbgMHDgyn8SxBOj6GXU+vyC3Ks38aNq6W19bjrymyf1x/XnT+K1/hr5LGR9Pov1pFC3UVJq/U8olWB9ay8izwhoDwwU8j/1Jvw87735e+zMqzIpH/PXp8Lcw33/z0IYthoorhDEsssQQNGA8Kc841VzzChoqnUOX9S2Vc7n90/pPy/+jDj4RdaVauXiJ6FVTWWFt9is//L8f9JVx51ZUWFX5dmT/SchJ9VOPSSy4JW9Dg5XgaILvu+r9L/Hv06EEf8bhcgnHcX/4SrqIPevC6lvvxF5TdxsczauQrYfPNN9c+JtqqeeaKCPtQHKzj/pfDfcwxx4SNpV1HhaD06sheWdH6XQu1h0ySz8qzwNtMeP3R/+kBpn12/Ek9xVxWvpy/xq1c/5g/mh2yzxIlpVcLdQJMhsvKs8Bbib/GIfbuEqMsUNFMpIU6ASbDZeVZ4K3EX+MwneJPA2v8c4C2LPrRJwhD4hMP/zHNrgnsk6Cp2qbRcVcwAZ0yssV/iX/JP2mjpf2V/mdm7n95YG34gyPkRzIPrPWnrz3q8ab+H1/FREc/X/fu4bDDDg/fXe+7hFW0fqHuhyLxLWqPPfekhbBpxhqZJ3f+/7prSDiE1lbjTb3OEpZY/KvhElqEvgsNYjVuHbz/4KugelS8xlr8Kmh0kqptD++9/35Y/3vrZe7vuOOOMA9/STIBM/tYem1uvfWojOv/BqNMRA6SgTUa5JFKeODobvp6pp5nqjbF3zvg4+dXQeUpgAJbPX7BTof7rx+AlbX43IcAxo4dq+dMzvla8/W/g2bhzTP3PC2v/3vvjaVXQTW2kiN04hxbjtv6661PldDLuvTBCP7xajH3gUiBCvL6Lb1Wylsr/4MG0WDmqafYdZMZa7LGmq/UzPQRiRFhNxpMlB/PEZINgDr/eQ0kTWH8+VVQ3vyAR6q2+fpLAd4loKmMmUL/hndMqlb9H/mnP8nAsIPEGJNGgh0CfwGUB4IWX3xxhU1D/+yicUsHWjfPIP+PPEYfGNiZBtboIPk4dQ0zehV0Cv0/+CC9ern77lqezme77bYL+x9wgKy3OOatN8OZA84On378ibwyipO8jD7y0eNrX6P2tr7MdhtEg5krrLACzErJ/8hRowK/To9j4yO8i/rZLl0wCzgvwhIPrO26G38wgWa/Ufs7+rhjw/cxsFaFzwTxl6BXj4vlKYx/Y1FSas7NHO1vZs7/Ev+mDCr5V9ofdY7u+a9lG25In9Stlv6nPjvRBSwFyikj24H+v+FVUF8Z882XcVLHEZ/vtaLG4rE0kXSjjn5B5GRYaKxgks+BxT+C2Cp8Jf6SVyX/Svuj7qWxhyn9TwxMY3Ra9r+70ayyh+jrcbytyTORZO0sEWV3xz//GQ7lmWgcdYpxt/nmkx/RCyywQAIRN2rkyLDpZpsqjvZ7VmasxR4sK8PCqJGj5AclzzoSH3EaAM8J4tfNDjvsMNJPu/7vQhqYOp3XKOONqpUZa1hjjXWV8H3nO9+hGVH0yls8/xtuukk+ssDQbIv599JLL+tMJzLyUfNMtCG0Rhi/koWq+cfwqafSwFo8rXvuvodmwfGrjrQBpFLcp/M/n75qKmusRezQ++OMtemc/7vRouYP0UAAnwfnyZn0IQC/fYdm6elrbXoCN914Y1iAXm/DFs8AYpCviG6xpZ4vGTVOQ+hVS/p6Ib1KO45izmV4u/HGG8KCCy4k8Wp6/tC66Iuk4rrNYi4Pt1pFGEiv357Gr9/GTT9eEGeswRHbYvyvufrqcDTN2NGtXfzf8I8b6PjSdYzGCKFKov9MHwV2Eas2s70KSl/lta0KEkMsTaTp/BUy9f7NJ1ePreJfX6HluJGBcsznsZwQlT2hb9/wve99b6rPHy7tQrOi4l8xfIDsf8af/6T865c7d9EwUGx0jbU1tEhlH88g006cODH84Ac/CGPeGiN6/ihM3xOPp4947Bvm694t3Eh9TTth1t+QBtE+GCfx77PrrvQBgtXDvvvuGxajLwZfd038yEel/X/80UdhbXo1lzcOKc9C+/v114dFF02zONkmGx8cbQ899HDYbfddieMcb5f814/HzJzxl4PGrnL+UIM2xR+2z2v+2fEzU84/9h2NHYhc4mYLx85FshFU8n9m7H/dVSv5X9r/Z2r/9iqoJFXD3SJXpQ5B7/5UahIdB8qCWuJmCic4FthcFSUoQQE2qgaYQSvmKDqrY4HNVVGCEhRgo2qAGbRijqKzOhbYXBUlKEEBNqoGmEEr5ig6q2OBzVVRghIUYKNqgBm0Yo6iszoW2FwVJShBATaqBphBK+YoOqtjgc1VUYISFGCjaoAZtGKOorM6FthcFSUoQQE2qgaYQSvmKDqrY4HNVVGCEhRgo2qAGbRijqKzOhbYXBUlKEEBNqoGmEEr5ig6q2OBzVVRghIUYKNqgBm0Yo6iszoW2FwVJShBATaqBphBK+YoOqtjgc1VUYISFGCiPLD28MM0YEK/2NfouUYYcPaA7CGUB7Zuo3XVeMCDH96PPOpPNKNiE63B1ffqa6+HTX/6k6ALFdCrgzSwthvNfthu2+3DM888E4aPoMEDh+cKPv74Y/qq3i7h6aefDMsvvyItiH9W2Jtmuv37iSfibaotHEezJjbcYEN333KVOBYHlP+VKwKAI8pf1ezfPw0K6YwvPrn4eh9xgHOd1fM//YzTaA2wb7MpB6omDBs+POxF56B1tIftt9shHHTQQXr8sWJ9LTEN8txzz100sNbF/Hr/VT/nX3AeDaydqd4IWH2VNS8bJShB47EmogaYQc1Oit320IE1nsLVc41e4WxaMN0OmIA8g/H222+1638arWf2bVl3jR44UCEo4XmW1p4UJ97aqM5tKU8OOvhgue6/oZy7/bbb2EL/2sPpp50RvvVtrOHmKomsxnwvqYfzj2f+HEJ1mWPSDbqYZqz1oxlr8fknG1iLB4iamR5Lg2pXX32N1kFtY7sdtgsH83W0k8lZkmRDHZkEJWjEphlrvMZhc/7VK3WVODZW6Y+OVBEAHCjARtUAMyibn6XF77fdZjtr/zKFj0f3eCPg9j+n/D7wQJVVhRAnCRWCGhqMGmAGhRWnobKzOhbYXBUlKEEBNqoGmEEr5igm68M0ELWLzPBiU1s499wBYdXVVp+q8z/ttNPoa58XSv/LNc9Ps4HfHDMm7LTjjjZT7bhj6bXPq6+ieLfLmmprfXvt8A/6Yu3uNNi9O7VLv6WjC+HXv/l1uOP2O6gYaemSXXjBhWGllVfy8MhrqQcfejDsQXXiVdCjjz4mfP/79Iq3r9QLmV6rylVRghK0dgRqgBnUYJnCCY4FNldFCUpQgI2qAWbQijmKzupYYHNVlKAEBdioGmAGrZij6KyOBTZXRQlKUICNqgFm0Io5is7qWGBzVZSgBAXYqBpgBq2Yo+isjgU2V0UJSlCAjaoBZtCKOYrO6lhgc1WUoAQF2KgaYAatmKPorI4FNldFCUpQgI2qAWbQijmKzupYYHNVlKAEBdioGmAGrZij6KyOBTZXRQlKUICNqgFm0Io5is7qWGBzVZSgBAXYqBpgBq2Yo+isjgU2V0UJSlCAjaoBZtCKOYrO6lhgc1WUoAQF2KgaYAatmKPorI4FNldFCUpQgI3Srwb7eAFAoAaqMwppDaxbqpokGwcGtO7WNAppDaxbqpokGwcG1LzVGYW0BtYtVU2SjQMDWndrGoW0BtYtVU2SjQMDat7qjEJaA+uWqibJxoEBrbs1jUJaA+uWqibJxoEBNW91RiGtgXVLVZNk48CA1t2aRiGtgXVLVZNk48CAmrc6o5DWwLqlqkmycWBA625No5DWwLqlqkmycWBAzVudUUhrYN1SCYl8CQAAQABJREFU1STZODCgdbemUUhrYN1S1STZODCg5q3OKKQZyANbDz/yiEzu6dmzZzj7LBowcT+efvSjH9HX6UaTTn9MX3PNdfTKF830QXWR8mLx+9BX7Xhxe15fbDd6xYlfc+oZX3cbMVwHD/zR8Vfn/va3v4UuNKvrr/TaJy8m/9prr4VttvmZLG7PWJ7JdNlll9LX8L4qReHW+3/5lZfDWTQox4Mxq9OC8L+ijyEss+wy5krL6P4C+qrm6f11jTUG8MAar1EWhwpiGfMS7r/v/rDvfvuQXhE/p8XDD9h/v9r5x4Kh7wknhivoXLgG3q666qqw5FJLUelUZ3odVTFD7ro7dO3iX3lNWEUk+Tw6/jPp+KU6Gg984D56lbVT/Kqpgmt7LZ3qqALqlqqmnQZAdw28WDsPwPbqtYbmCYckQjlO++23r13/n7uBAYXkdZ5wwgl0zf8qh8KWv/3tqrDUkkuJfP/999GMHIpx3Hbc8ec0yHCASFYLGKInnEh1XfZXyWHOv6tp3SqOOTaGXnwRfYmVZgm2TWwLE2kgj2ek8bpgvKEqEWj38ssv0fpWNJvONpqNdM65sjC9YcGAGrbOKKQOxMAaDwxqdqFsFZtk48CAomgDVUhrYN2Sa3760/8Lr776mtTM158HQjloy62wXLjw/AtDp870sYJJbFpbXqeH1y1VTZKNAwPqK6zwCmkNrFuqmiQbR8zDjz4cdu1DM7xiO5A11vjrnJVNy1jJzPrUU0+F7XfYQXJXDAyj4PKry3jF80F6VX/33fdQs4v/FVddEXos1QNdk9j97tZbbw2HHX64qLj/2ekXvwj7uXYFLI7s3vvoS6X78XptqjnyyCMD9/+QGQ+sMaZga/OmkNbAuqWqSbJxYECbXYtWIa2BdUtVk2TjwIAW/y0joCFqHai6papJsnFgQFt6R862BtYtVU2SjQMDWvy3jICGqHWg6paqJsnGgQFt6b1cfw1R60DVLVVNko0DA/p5jz/99YlPxW04M6jjXZ7/qhhZPLUBqYUhgboqHWtWYUxqQLCNt+JfmnKJv6VCyT9tGXnrgQSqmOrerMKY5GDQMeWttL/S/igXprD/2WWXPjRg8qhkDn/Rjr9s5zceIHnqySd4yR1KrfYwcOCgsOKKKzqI5t/BBx8ki/Aj/3ba8Rc0ILVv6N2rt8x2GU6vuyFTP/7k43D+eeeF8847n+ppp68O/jH85Cc/sTpvowEyfQVUrmRYacUVwjkDzqXF8DvzQRhOmXaZLcVfKtWtjQZMFg9X/41mGzXc/84797xw1tk040tuo23hPvox2bnzbJU6k0h/yKLZTweFu4bcLefflV7XuohmPy25xJIRhLNqD/wRhp/85P/01VGK/1prr0UfKTjVDhlImTUnr6PqAf7rX0PCnHPOmZw6DmU0eO0SszPP4uNX0NAH7qeBQR7YiAqc9BRefy1XjWk6APjfpc8u4REaSOCTWX0NypMByBNF0EeVZGbe3fRaK9fZtYuLU6wedb37HsXpxz+Og6ftYa211tZXY6NbfsThWX533323nNVctIbXoIEU86V4ICw/1vfefSf8GDEnq9ZFM9Mq538xrWt3Mn0wQl7kpDzmV1f79j2BvmCpsxWjayH702Lw9957r/B8zD/e5EfhT388Uq5/1X+KHyN502ta9c8WnD/zLPXitkF0+HD9eIioKzsrI4xJDgUdU96m3L9hKzHVenTPtV5O63qdQAPGuuAc1R9dXELrqn3jG8smn1Jk2vvnGjV4OFdxFHfQTb/zb+X/wRE0w2sP/vKxnjPP4uzJX3rlg63kHx8sjlQPHFJ7+OlPN6WBy1dVTfvF6KMa1157LQ226XA8d77f35heGX37LbKSL/p/maWXoT84XEZyqkcr0GNh/+M+GkczZrcPr4x6RS4dd+H/oA8hLLLoIpVybeJ/5513DmNothw2boPbbb+9nJ26gS8gmELHlLfkH6xWkJCK8+W4TPMGVPFP8eEBbQTTwgUdU95K/CXTpqL91WOqkeQ9olvyj1PLopECZBEq+adBKe3v89j+2uijoHQfb0pwl+vENiOgBa2U4ap50T0qzQ8LdrsjOPoprbi5vK+tGQEtqC9BPor/Ev+Sf6X9lf5nuva/r732avjggw/D66//J/zut0fQAMeH0r93maNL+At9bW7++bqHhWgtnnlp8fkLLxxIr+KdRnaeqRLCqiuvQmuUnUqLYOtA0ISJE2j20oBw/vnnUd7GhwrilqcFtbfeaqvwJ1r8vDu93sSDaC+++Dy99vkMvcb09zgDhu8xNJNip53CXjTbbZa2WaT/Gz5saNhj7731Nsd10n1hzW99K+xAr+N1m7dbWHiRBUO3bvPZzYPX5LJ10OQGRV/vpIGR2WfTAbN33nmHZt29QZj35YuaD9ErT3qsbfR634HyJb7ZacYYr3GkaxDl97+3aA2kbbbdlr5+ST866V3DhRZeIJxyyun01dKv2zG8/vrrNGNv3/AKzZ7jbaWVV6Y1vU4Nc889t8jvvvteeOON0RJ3XkRfBzP1/HkgZzUarJqdvqy68MIL08cR5s6u/9tv0/G/8UYYN+6DcAa9FvnwI/zqLg8ItYff/+H3YblvLB/mnXeesNBCC4kv3rW4w5IF14hpvlXvv6/T7EHOE55F+Nvf/Y780zp4dP5zztUlHHvs8fR1yO7yI50/UsAb/yjfZptthLL/hWiNNV5LTr7uKoh2yTme2fjKKyNJ0xZWoVfTGDMXxcn7f4tive3PtqW63pbrvwCdG3/Vc+keFPP4/CMx33cfmmE2UvJoZcpNji3HvHr++vGCfuIT0dlyy63Cr351CA2u6Yyr8ePHy8zHgbSO3UTOd6qEZ0ry1y7npvhKxKTiau1yctmuGQGtUh5Y4/znGWu8+fOfmZ6/PqQc2P7nPw8j6UuTfP3bZqH1t44+Lmy88UbZOXsBZ+p1iHuiFevn4Pnvo3EfhVGvvkJt4ZNw8803hcvpK50yi4+u42abbSYzvHiQfNZOncLXe/TIT9CyMo8O/5GhPw2W07O99H970uudu9ArmdZCCX4K9cEX0axLxP+AAw6m/nD7Sv1JhAdZf5C+bqvtfqJ80ffYY4+hr9t2M/ArL78c9tx7rzD6P6PFP+ck5/983bqHww8/IixKXzReetlleXnBeOlQu1VRY5oR0ILmxWbW/OfLVn7/aAZpCjdfP381mxHQgvoSFOPPQfsv50/XrIw/cBDy5K1ILTI8lmthLfkv9x++yczo5x/5Kmh2WUwwpnKJ6yKQdB3pRLhDU2pIAEyRM5nZBGNycIMEJPyCGhQAU+RMZjbBmBzcIAEJv6AGBcAUOZOZTTAmBzdIQMIvqEEBMEXOZGYTjMnBDRKQ8AtqUABMkTOZ2QRjcnCDBCT8ghoUAFPkTGY2wZgc3CABCb+gBgXAFDmTmU0wJgc3SEDCL6hBATBFzmRmE4zJwQ0SkPALalAATJEzmdkEY3JwgwQk/IIaFABT5ExmNsGYHNwgAQm/oAYFwBQ5k5lNMCYHN0hAwi+oQQEwRc5kZhOMycEN0gE0mHQPvX7IPwjp3Tj51cD3AWxtpF9vg/XC8ccfHz799FN5pfPfjz0mz5SM4UXpN6FXhPhBePAdg+UHd5euXcLWW/+MBuIulEcOPhowXM9FNGNI66CfbfRgxs9m3j8Pti1CP+B4692zd8LE42IidRJdepll6NU/nq1BGyl33ZVfZ9XZVKziH7SXX3EFs7LxzJqTTj5Zl4mjg2ryz+fPX/PsSwuxiyMXD67kTRrYOpheMX2C1n/j42AzDxiuusqqNEg4Kjzz7DNRG2Rx8X40O4pfY8V2+eVX0CLvx1PZ1v4Zu+GGG4bjjj1OHcTCfPz96Phx/vAvZhL42L//g++HP//56Fhi0gTlkXegVioCDjrgwHAXfbGUNz5fVvOG8szzFzyPp/OClr8O+0uK0+MUJxTiOK2y6qrhNfpS4TPPPmfxX221NWggrB8N0naVc+D6ZIsO3qTB0IN/qTGHf9T1KtXF63/xwfD5r7b6ajTYeWoWc1THlGdank4Dc9X4L7jQ/OGHP/hRmJVGDe6+5x6pk/Ofc+RnW20d9qFZl/46cl3+/JOQaRnWcgOyJ+U5t7/hw+irvHyC2ACAXKGZ2QRjKui6CCSuO6ghATCFMqMo5tzmF6FB9070+rRshjWmUqouAgm/oIYEwBQ5k5lNMCYHN0hAwi+oQQEwRWK4/fMsXrtchOVrxz8FNOF1z5L/2muqIeUP/OoHT7YwyFVX0GvRPZYymZmnnnwy7ECDm7xx3f/4e+wvza0xgvG7u+66KxxIs890KL6NPkDTLaz/vfUor+cK991POf/Mc1n+If+lj44nyn8k+PZaa0m1mScTjPGuG3kgcf6gBgbAFDmTmU0wJgc3SEDCL6hBATBFzmRmE4zJwQ0SkPALalAATJEzmdkEY3JwgwQk/IIaFABT5ExmNsGYHNwgAQm/oAYFwBQ5k5lNMCYHN0hAwi+oQQEwRc5kZhOMycENEpDwC2pQAEyRM5nZBGNycIMEJPyCGhQAU+RMZjbBmBzcIAEJv6AGBcAUOZOZTTAmBzdIQMIvqEEBMEXOZGYTjMnBDRKQ8AtqUABMkTOZ2QRjcnCDBCT8ghoUAFPkTGY2wZgc3CABCb+gBgXAFDmTmU0wJgc3SEDCr1B6sGG9bQoCVNWZDqWtxOSYVJdwtLO/1jQUzXxFe6Yr/vXJqyF2zSqNHtuEo12JPx5Z6xHLci2aM13Jv5J/2a/Weg7lGs0e1glHuy9a+zuQFhu/mwZM5uvWjWZWdMb4Rxg/YXz4aNw4eUVvHfqi3Mn9+skA2MeffhIG0oDZjTfcEEaNejU1Roor3462+dnWtIj2nmHuueYO/U45OVxyCQ96TaQfcm0yKMfrre3cZ+fwwvPP0yL9c4RONJuDnU6gQbtxH31MX4D8MNxC6wHxoAlHXWegfRi6kcw/7malNZz4990EmlE0jr52142Omxef542v0SiaScNrm91zz71ho402oIG23cPSX/8aWagUHd8ll15K53Ky1N9pVp2dxCau+1Oqk7+g9wEdw2abbxaOkDWJ2JvWjR+XrBlPx3vH4MHh4osvlgE2/jXK5097srbRmkgr0o/f7ekLieuH2TrzwIP6ZxwP9PWlAajuNAuEN16XSuomHufFX9VcZ+21Qz9eZJ82qZV2F196MQ2s9aMZdV01flRWNqqXBz7fHvOWDGoeeuihotaj0T2ff/arWUtOYh/LEeIAyhMegOUf4p19nlDMPqKYfUi5sjYd7ykUWznXWOsnn44Pdw7+Z7jk4kvC448/rv41pHJSvHbUDrToPf+479S5c+VYkn/mxn9CMb9zMNV1cXiSBzWTWepdfvnlw89p5s56629Ax6hxUUgExvMfSLPOeMabBJXqvXDgheEmyufLr7iSr5KqhdEvgP7xj38MvddcU68R6XH4lYONV94fVLxu0TKp+Pfu1ZNQbZUBmFSXcLT7ovU/1Rjm8sx9/i+++GLYimbi8mDrHF260GxHXp+Rjplm235Kef/xx+Noluc4mq05P33N9ia6eGxrlT3pzHekwbon6JX7ZZZeml7xTGsP+v5ni803p9mZr+ir2PGVfY1WihnXmOmi//+MHk39ysm0DiV9iIY3zmmycf7NR/3sPvEro3tQXy1G2ks9tONB5v9n7zsALymK9HuXDEaSRxBMIHCnoOzyv/M8z5zTqYfiYRYUOFBRTHimUxBUDCBIEMweKqCcCmdCUAQ2YBYQRJRkQIIoKmH3X6G/6qqeeb9dnrvLLtSIU19Vfd31pl51z/x6Z968l+bXhz/84WSNW4hVXcG2lMffetXWrAuiXdY/vpGWJaCQ62oMtsw/JW/J4w/5rFUnatYfzxE5/nL+uf3PP3LH2tgkUM+m5NJpFRyvYY7FhMEn1/HNtxpnqNXxDBoQitcyvs7xkhOfmEGKZ3Q6tuMZNJD5pwz4bGT9Zf3xNZbUhC8MN6IUzuh0bMczaEB4Xrs91B8/Vsk/uM2P/W1Jv2W2xZb30scd7UAXl1/TI0V/vP76sunmm9PdSOvYaeb2cPz48i+++OJyKT32+Vda+FmTHjnd4p5blPvc9z7ktkSs8O//NFqAuuyySykuirx9Gj7V05Nm8jeGfELe0SN9+hgbYdZ5kz9CFpXtt99BHpFV46S99KROgwbE/vNfUJ5oMeAmWpxdffU1y5ZbblHuTXcU8gW7Fcag+3HnxdTXr6ivG2+8UXLO9XdvfjSUN2tiIJg//rGP0csLDq3HP6ucTL9htdnmm8lj0Py43C/pcbh16c65Lbbcsmy++aYz/u6edBx6X3J8pvf1P2cn+j0u+rjDO5viMUio0Z3jGTQgLbzWx7+1+R9+BNe7QQMZnzLgszFT/i+66KJyHt2Vts0225attuKaHl6cX3jRhXTn2vnlAfSY+b3uda/YuwUyQP5h/L/+9S/l5xf/ovySFgjvtv5dy33vu5U8ss3cq353Fb1leB7N5+vR4+h3LXemR9LvQv9Ysh79f126I3m4uVgGDQjdazMdf+zbt4qeqDmeQQMZnzLgs5H5785/wyFWy8tnLVZc1BzPoAGhei3zn/nPvz/qnOQHRhxUpM3odGzHM2jgVo2/bmEtfoTYpYvvQszMaW2U19iCmmpEb/LYCAbUOzPHyDW1jS2oqUb0Jo+NYEC9M3OMnPEpFbgTg7MieRtJnjd53DIJpN6ZOeCirhtbUFON6E0eG8GAemfmGDm/f0pFfv+tWgQ11QrFmzw2ggH1zswxctYfpSLrr1WLoKZaoXgTP6p6xumnS+ZkBuU/HIigQpnGJ6Nc6JsBXfI9LLPKQx/2sPK+Q+gH66V1nY8H3GqvTUfc6JSkemfmNHrPFn2ksTd53HpS9FH63bTDDvtQ/RSlfPHkL8pbaHsedO2r9SioqaBZf2wYcRsPXs/hN+byAuOChfoba448yJa0840r2Zs89n0pVu/MnNaqZ4s+0tibPG49Aal3Zg64w2xJu5HG3uRx6wlIvTNzwM34fbZEH0meN3ncMgmk3pk54Gb++2yJPpI8b/K4ZRJIvTNzwM3899kSfSR53uRxyySQemfmgJv577Ml+kjyvMnjlkkg9c7MATfz32dL9JHkeZPHLZNA6p2ZA+6Kz78trE3+gPjhN8cwaKAdgaBJdnbCB6lNo6Y2ePTS3DEMGvANCE+yMw0+SG0aNbXBk/H1R7HxR5GlsAGfMMKTs9l8kRM1313WX9Zf1p9fFGrDa9KomWTncQUfpI61qOX4axm4484/P/jBD8pVV/2OKoYfwuV3ANLqGa+qLaLxyAtpZJM3DfKzDVJXnDUhkGBCtZPYcION6K61B1ZetQuX27SqVM3vV878H3fcceVDhx9mx/+Fk04qm99z8/rBJ4+mdqSRE7Xpjn8OLaxx/hcsmCfS99IwIkGqJ2qNzZ83zz95/snzjxshBg34AUN4kp1p8EFq06ipDZ4cfzn+cvy5EWLQgB8whCfZmQYfpDaNmtrgyfGX4+/Wjj9aWJMHOlolWYUZaL4ORQYuwCopOEmpDxbj9tXWVSC2urcB0Jg9ii0zvk4AmX/JQCiOrL8cf/THPP2X84+uebS5NAyUnH8tHQZaqjoUGXn+uSOdfz7Cb1484ghbGjzppBNpYW0L0+PlC1XKCrj+2VHeCsoLa/PdOOaiXTHx70jff81q+74px3n8/AdY3cLkmPW3IsZ/1l/WX46/nH8kAzn/yt97Wg0r/vxjd6x1V2LuMqG7YKh1O/zymiN8p2SGrtLvW5vGUluL2pBnC0bHnaM3Q/eRYWtNo6VFbahxK4pNzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBnC45NzN2boav0e2tCACy1tagNebbg2MTcvRm6Sr+3JgTAUluL2pBn89teP/s/x8vfy3wFd9xxx8pvVTEn9tR0H7nnNNbSxRdW18lcumONTfMXLGgLHO7zLO/4+sn7I2l6xudK8VlAxliqHZZWdQ3BZzI2mWgGzUeGzRplfEqFLUtQNrBM1VDLVUXDJIqjN0NX6fe+R7DU1qI25NmjgSoh9tQqy0fuOY2V8TkDLesN1fQ2MUyi+HozdJV+37rK/CNLmpOW9YZ8tkYTXQmxp5ZZn/me01gZnzPQst5QTW8TwySKrzdDV+n3ravbXf75raC4iyOkENmgY/epEOx84hWdbwchcjs3acv6L7U+hT3O+JQ2SR9O5po65FLT6vYhz6SInvnP+qO6yfHnphceG5SQkBPnrjDnn5x/cv7l00ief+yeB3eOVbi4nHvu9+TNtn+49g/l8isv0/Mun3SEMKvc5973oTc7ri1vYV1//bvT7MK+FTf/zNmRHgWlcO3lBSs2vubBz68Zf0V+/5l/qr1wrs/6y/pbcfNvjr8cfzn/5PmfM+DuWPMJIUznpEGRmKFegg843Ie7PDe/gdqv07nJ2DageEPGlz+BfEosh5l/+/PQ8mMg609S4fJhddOBAcUbcvzl+KMlCF8SVj45/+T8U5enrD4MrNLz7/Gf/Vx598EHU6VrjdNLUMvi2Vb4cmx8R9KXTzm1bLzRRvVY2b9ijp9/Y43jz1uwUK/ULKyB+lGc7j5+gAOKN+T8n/N/zv95/qMZIyxk8gyS5/88/98+z/+t2PP8l+e/JZz/9H41nRC5cOLlUy0lb2SqZ4lPCbznrc21rSEQpDL9Xj3eb9gA+M4gUHXe85bxNQ/+e0LGIMFosuUQ+TOuAbCdQaDqvOcN7TN+yxMQpGbK79Xj/YYNgO8MAlXnPW+Zf81D1l+rEyBIZKhJ9Xi/YQNgO4NA1XnPW9af5iHrr9UJECQy1KR6vN+wAbCdQaDqvOdtedXfJb+8pPz8wovKOuusU9ZYc82y+mqryW828kscbrllUfnrjTeSvrg87F/+RT+Iu07CJ4asBCfaMeDzG9cA6M4gUHV+KyhvC+lRUN0aDwiyEpxQj/cbNgC6MwhUnfe84fNn/bc8AUFqpvxePd5v2AD4ziBQdd7zlvnXPGT9tToBgkSGmlSP9xs2ALYzCFSd97xl/Wkesv5anQBBIkNNqsf7DRsA2xkEqs573rL+NA9Zf61OgCCRoSbV4/2GDYDtDAJV5z1vXH9yx5rRDIifvhcy8DMytJnLQOVA9PZRHcYqo3BBaqcZP/Of9SeDASOnDUQMPIwVku2MMjKW2I9e4sCDddB3jr8cfzn+ZIBNHCN1+A3Hzth4RC85/mSyimkYmbOIkPW31PU3d+5cKsPF+igoSi3UJ4wx8bAOa5g8mf+lzn+ef1FsJK2oqk10GKuMYqQNEbL+sv58OaGEalmZ6O2jOoxVRpH1h/QgqXn9n/NPzr8yGmxoGMAgqbKzt0dB3SDyTcCH9D7g5msIPkjxDNzOkPFtECNnLJEhSO8Dbr6G4IMUz8DtDJn/zH+dRFEzLFEhkN4H3HwNwQcpnoHbGbL+sv6y/jBcTGKEQJrDgeZryLkFimfgdoYcf6v8+JszZ0f5rhfQo6D9lt8/fb2u3DU/zpD1v8rXf7ta6au/etzXnd8/Z8AlJOs/6z+vvwYTB0YI5IAQRtFklngGbmfI8Xe7Gn9tYc1XjPu+xdzrxh06hhYjN0CkxXSVU5/EbnagvpNeB8+fGKptItXaEMj4mf+svxx/4RYDN0H0k0ivG3XoGFqM3ACRcv7L+T/Pf/4W2zY8Bqf1iYNq6BhaXL+At9PxN3fOXHoodbF7FBQH3Mnb6fHzUd6Rv/88/vz+s/7p7/NuuhuoOf/l9Wf+/Zd//02aKfpJtNdtQhk6YIkLa2QNL7GasIo61q92iG4rA6pI3vGJr/3oG9yVLWfFjO9ODJn/0VVsXy8YG1pLXUVBFcm7rL8cfzn/4M4NDA8/nnL+zfnX/jDJ888qdf6Zu+OO9OTcrDIfv7GGAZ7nP/oe8/yf1z95/ZfXf3n9l9d/NBPSRQ5Oj3n9WzNACcnr/2Vz/a8La4MK64vOERy0gpwWoC9I1080Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BRxc4l15ewO4FWFjrCb2OviCdP5qc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjTwfRF6TrJZqc5qCjD2C8Y83cI61HTEIXu3MaNGArw83SL9xZ4Ao8c7Ip41MGJFUuXwYNZP4pTXwXRstIxFJHYeeZ1TFiEo/YndOgAYvbLBnf5yKkviU1mic1ELtzGjSQ+adMZv3HMdeqI5aZaiPeEZNwxe6cBg1k/WX9rZDxN4cX1qjsFi7kt4Jm/eHfnpEJSB63HrMetxHviEnaiN05DRqwWM2S8X0uYu5ZG/GOmDL/SJVLjkEDls1mGc2wpFN3nlnNIybxiN05DRrI+JSovP6KNdeqo9ZXECPeEVPWH2VA8uKSY9BAjj9K04oef7SwtojeEE+3x3Jk2trXobq3eR8wZGP3yDM8Bo/eY5XxM/9ZfzIgxkfI5IlhjI+RpdIzPAYrx1/OPzn/5/lvOFu0GSLnn0kXZmMzKvI2zOgYe9nNv7ywxlu8Y83H9Fg/HV/x5fyX81/OfzoexkdIzn+rwvyHGS1K/416DFbOfzn/5/yf8/+ynf/dHWt10hHhJyBv5+Deh8lp6aW1JhCe50W/QjBWi2cmA0sf1DGtNYGMrxcMmp6aGRGWpcx/qEvOlM+NZu7W7K01gay/rL+6ntzqSgrEqqSzc6V5H+u3brPWBLL+sv6y/jB+6sgQYaOEnN7OXO9D26WX1prAsh5/urA2ixbW5k/8QMsz/sSgzpHx65yzHL5/l+aJMPOf+Zc5P+tvmc+/Ewedc+T4y/GX448GxO18/nELa27063HL7XNm7RLhf9dYJwubMtq1p5joXwSop3YBzz06rgWIYMAgg78Qzfg0QdWkaq5cxgBFZv6z/nL85fzj51dMEN4W8YBBhpx/60UhpSrPP3n+WdnOv3PoraC8LZhPj4LyhJfnf8pDXv/k9U9e/+T1j0yNdTe4uvFOwQNGXv/k9R8NIoyjvP7L67+Zrv9sYW1w+eErZzDt8DXb8HTdaJiWIKsHKqRbYBv0l/Fb5bbEGhrkyzwMkGDI6oQKabyR7zPzn/nHzBFqS5Wsv5z/+j9XWplggoHM+UcygHRA5vxLadFL1cF8kuefW33+aY+C8h1rnFcrNCk/U81sgFzdfJb5v9X51yTzHnmFrB6okMbL66+svxx/4Xoi55+cf/Lvj3ZK6dBgvgx+nGAg8/wjGUA6IJfj+XcW/8SaLcN2+WeVfoBNXuEumHZYsWXdb/ZZYewMnSossY04vCnjZ/5n1QnW1wXKDHLg6wydmvVHGZCcjCTGm3L85fjL8YfFnzz/5fkfZ5wo/ZzZTi6NM/CTS2wjDm+6NfPvTv6toL4TxGofR9Cyjh9qI+OHyaJLR+YfNTmSGG+6NfWf9ecGuE8icu3cDIXS8cxeuZn/vP7L67+8/uvnhTo9mBhMI52hU6Wd2EYc3rSqzj92x5pmyB8SW7zusbKDu5rQRtm0988PgTPxXyP6GF73OONLBkZSkvnXpNg+6y9c4GvdUHZG/zWoLyive5zjL8cfZWCkJGBUF+1z/OX4C3/xct1QXeT8UydRL/oB5XWPa5vONJceBV1E/1u4YGEdmkTI8ZfjL8efH2Q5/+T8m+efPP/GOUG07oQaLnB7HzUYMcGoLtrn+fcOef6VhTW/KqiFwVVWz8ZSIVYmUn44TzdrtAjJ75jIVTg6mMnj7orL+JIsylfmX0pIikx2Mo+xLVab+oQ7PtPVkiJe1p+mqdvn+Gv/KpnzD48n3nL+kTTI9KJzTJeZOtuoT7g5/7S60YS0tHBucv71WTG8rObfuXN2pCzzywvoN9b8JoWb+c/6w5WTL468/l5W40+vHUZynOOPCi7nn5x/RsYGV0b+/U+lgdzIZEFZqTqr9DuhrHce0dXq2wJTE2zSkHYWAw6Vmf9l//ef3rEm35vs9MuSL4KSPvIdxa+kaaFJUBoHaOBmgysegUzO+EjZEmXIaVCGTQfuzH/WX44/mXBsKPCwyflnOHlMsIQ5JSjDBgO3Jb1eJgwIwz56S2gSlJ6pf/6w1b7ejJ/z3+1g/uPfWOOalpcXhAJnpW2D4ZH1n/V/O6h/rnCZ0wcF3mqf0cCd9Z/1n/Uvo8eGAg8Uu0BiZeYtjKmgDNsN3BY0r/8sFZy2zP+weCZYQk0FZdhg4LakL7v6m0U/scY3K7pNolTdfYRq9l4mqT7BiV7JvZgmrvbjlOhl7Cf44EPvLOkTTgih5gnOjK8ZoPRk/rP+cvxhpqvzBU0qvipssNgZjXm85fyT828oA6kK3mkl1XpCWZm3ArLn/OtHGhKV489nRasFuWGNMW9LN//M2XGOUMfuWMv685lGjrP+fFa01pAb1m5d/eEcof24PXWT9eczjRxn/fmsaMUgN6xl/WlOlm7+z/FH2cIlviZO9zn/5Py7gtef6I61RVR2bqVupDD9VOfrdWlxaM8KbxZHvbIPRKXxfoK5EZaAQntWeMv4moeaXclRSFR1k5hgboQloNCeFd4y/5qHzL8Ug9RIKJSaHhITzI2wBBTas8Jb1p/mIetPikFqJBRKTQ+JCeZGWAIK7VnhLetP85D1J8UgNRIKpaaHxARzI1Q0aWEttGeFt6w/zUPWnxSD1EgolJoeEhPMjbAEFNqzwlvWn+Yh60+KQWokFEpND4kJ5kZYAgrtWeEt60/zkPUnxSA1EgqlpofEBHMjLAGF9qzwlvWnebid1l97eUH49usxQ+DHLokz9lt8oI3J1u3Yv864Fo3ojBVmfBqINBIz/1l/VAY2Jw9HysDShlWOv+G/jrp0tUQ5Y4U5/+T8k/Nvnn9W8vMvPwrKm79jrU1rOf/n/N/uWa9ntiZaoTQbUJ7/8vyX5788/63k5z9MV162aS3Pf3n+W3Hnv5FHQWtZysmU8fif8a1gfRmjrbONNq+tZxqoGb+mfjSBM6+ic3qxjTbP/Etys/4mL1Tm+MvxJ3PH6ASS8w/Nr+OZIUfOvzj7TEhSnn+Wx/nH7lib715eMFqkmf/lkX8r+hz/lorxSTLrL+uPJiYqg4k3auT1Zz13jk7gef1FM8x4ZsiR82/Ov8jAaJEs//OPPQoqn6PGw2diGU3tA0lVR6drpg64IY0QDE5xENxoqhqMkCCbVAfckJ27qs7rILjRVDUYIUE2qQ64ITt3VZ3XQXCjqWowQoJsUh1wQ3buqjqvg+BGU9VghATZpDrghuzcVXVeB8GNpqrBCAmySXXADdm5q+q8DoIbTVWDERJkk+qAG7JzV9V5HQQ3mqoGIyTIJtUBN2TnrqrzOghuNFUNRkiQTaoDbsjOXVXndRDcaKoajJAgm1QH3JCdu6rO6yC40VQ1GCFBNqkOuCE7d1Wd10Fwo6lqMEKCbFIdcEN27qo6r4PgRlPVYIQE2aQ64Ibs3FV1XgfBjaaqwQgJskl1wA3ZuavqvA6CG01VgxESZJPqgBuS3RdccEE58zvfLX+84Y/lumuvLdded0259prryjXXXFM+/7nPl9mrzbZeGPi2psEIGVq0VnBDGi0YnOIguNFUNRghQTapDrghO3dVnddBcKOpajBCgmxSHXBDdu6qOq+D4EZT1WCEBNmkOuCG7NxVdV4HwY2mqsEIWcntjrX5ZKk/70Goo3UG53VwmvhogwDoDtL8weAUB8GNpqrBCAmySXXADdm5q+q8DoIbTVWDERJkk+qAG7JzV9V5HQQ3mqoGIyTIJtUBN2TnrqrzOghuNFUNRkiQTaoDbsjOXVXndRDcaKoajJAgm1QH3JCdu6rO6yC40VQ1GCFBNqkOuCE7d1Wd10Fwo6lqMEKCbFIdcEN27qo6r4PgRlPVYIQE2aQ64Ibs3FV1XgfBjaaqwQgJskl1wA3ZuavqvA6CG01VgxESZJPqgBuyc1fVeR0EN5qqBiMkyCbVATdk566q8zoIbjRVDUZIkE2qA27Izl1V53UQ3GiqGoyQIJtUB9yQnbuqzusguNFUNRghQTapDrghO3dVnddBcKOpajBCgmxSHXBDdu6qOq+D4EZT1WCEBNmkOuCG7NxVdV4HwY2mqsEICbJJdcAN2bmr6rwOghtNVYMREmSTdG+gvbwAJEgjDYFSJhOHnt7SdEMAkMOwZlHKZOLQ01uabggA0qINgVImE4ee3tJ0QwCQw7BmUcpk4tDTW5puCADSog2BUiYTh57e0nRDAJDDsGZRymTi0NNbmm4IANKiDYFSJhOHnt7SdEMAkMOwZlHKZOLQ01uabggA0qINgVImE4ee3tJ0QwCQw7BmUcpk4tDTW5puCADSog2BUiYTh57e0nRDAJDDsGZRymTi0NNbmm4IANKiDYFSJhOHnt7SdEMAkMOwZlHKZOLQ01uabggA0qINgVImE4eeZvn0pz5dDnnfe6lT/ac0fnXQLH4jGf13zvxzymqzVoNrGLhatLfWZ08cenpL0w0BQPadOl0pk4lDT29puiEASBevh0qZTBx6ekvTDQFA9kGdrpTJxKGntzTdEACki9dDpQyJWFibv2BB96/5PbfphgAg+6BOV8pk4tDTW5puCADSxeuhUiYTh57e0nRDAJB9UKcrZTJx6OktTTcEAOni9VApk4lDT29puiEAyD6o05UymTj09JamGwKAdPF6qJTJxKGntzTdEABkH9TpSplMHHp6S9MNAUC6eD1UymTi0NNbmm4IALIP6nSlTCYOPb2l6YYAIF28HiplMnHo6S1NNwQA2Qd1ulImE4ee3tJ0QwCQLl4PlTKZOPT0lqYbAoDsgzpdKZOJQ09vabohAEgXr4dKmUwcenpL0w0BQPZBna6UycShp7c03RAApIvXQ6VMJg49vaXphgAg+6BOV8pk4tDTW5puCADSxeuhUiYTh57e0nRDAJB9UKcrZTJRPPRSUJZuQwOY+Q8AwrhnF261ugs4OCBdlw6aV4BpIwz28ZbxM/9UC1l/NhQw6OLogQapo6ffm1eAaY4GG0vecvzl+KNayPFnQ+FvGX/f+OY3y+c+e3y5+Oe/KFdf83sdX3WInXMOLazJHWvVkOMv559bMf/OmTOX8rWYfmNtoVTO2A6zu97GZpqjwsaSt5z/c/6nWsj534bC3zL/Y3Tl+OOpxbIhM43uYGPJW84/Of9QLeT8Y0Mh5x+dGTBTRC1a1df25hVgWiPoxEw6+3ibbv6ZRS8FpfvWxgJot9iPM2CFBFslr9nN4h+9pA8ZfjiP6Bgnehzj7X1v4wxYIX0LipHxM/9Zfzn+cv7J+ZdOkHwmko1OF7f1+efmRYvK8563a7nwgp+VWbPp/Lh4djnnnLNpYY3uWBvZJpzhiFlP/O3orHWe/+5Y1x+8sMYPgPIda7zl93/H+v5t4FeQ339+//n3V/79SWeCvP6jM+PKdP13W19/Zny9cqaBQWD86tqfT8cZsEK2FvJW0GA2xUBjT0Bg8r1v8vKYKo0OghkiCG5TDETyiAZmxs/8Z/3xH1RaBzZUMEDMEEFwm2Igkkc0MBEX0qggmCGC4DbFQCSPaGAiLqRRQTBDBMFtioFIHtHARFxIo4JghgiC2xQDkTyigYm4kEYFwQwRBLcpBiJ5RAMTcSGNCoIZIghuUwxE8ogGJuJCGhUEM0QQ3KYYiOQRDUzEhTQqCGZQcOSRR5ajjz5az+1kkjvWZuNR0AmNuj5YBRNxIY0KghkiCG5TDETyiAYm4kIaFQQzRBDcphiI5BENTMSFNCoIZogguE0xEMkjGpiIC2lUEMwQQXCbYiCSRzQwd9yR7libtagsmL9QrsOMCoIZIghuUwxE8ogGJo4b0qggmCGC4DbFQCSPaGAiLqRRQTBDBMFtioFIHtHARFxIo4JghgiC2xQDkTyigYm4kEYFwQwRBLcpBiJ5RAMTcSGNCoIZIghuUwxE8ogGJuJCGhUEM0QQ3KYYiOQRDUzEhTQqCGaIILhNMRDJIxqYiAtpVBDMEEFwm2Igkkc0MBEX0qggmCGC4DbFQCSPaGAiLqRRQTBDBMFtioFIHtHARFxIo4JghgiC2xQDkTyigYm4kEYFwQwRBLcpBiJ5RAMTcSGNCoIZIghuUwxE8ogGJuJCGhUEM0QQ3KYYiOQRDUzEhTQqCGaIILhNMRDJIxqYiAtpVBDMEEFwm2Igkkc0MBEX0qggmCGC4DbFQCSPaGAiLqRRQTBDBMFtioFIHtHARFyR9K9abLdNSaCqOdjQ2losCbS+BNHOVktHmoZY1R9sGb9bNRlJYjBp9tgkiHaZf0phyFFTQq1Vc7Bl/WX9yV2QrWZmRlo9zBFEuxx/Of54/jn6qKPKkUceZck4Z968Mnv2bLnryIyoGyyf5fyT88+E+WfunB2pSmbRo6DuraCoG9RRzj85/9Lkk9c/NCBGNj1b6x7uYMv5N+ffCfMv6iXKVkuCaJfXfzn/5PwbRwm0MNdWY7CtIvOv3LGGg6p/+qmqR0PYgNi9hmMUm3e0Diua0enYjmfQQManDPhsZP71HC858YlxFaVwRqdjO55BA8LzWuY/8y93SFJlzHw3sa8aV24D6HgGDWT9UQZ8Nlb18Xf0MUeXIz98pFXBPHoUdPZqq6tuB2ogv//b2fdvX7wB910bNLDE73/OTnNkgMSFNW4W+7BwA+B4Bg0I22ur+vgbHL7Pkx2ogTx+yoDPRn7/ef2T1z91TPiBMZhYZnQ6tuMZNJDzT84/Of9SDWBRcmU+/3QLa92J0x2EjOqw0wEfh30gBKVniz7S2Js8Dp2Jot6ZOa1VzxZ9pLE3edx6AlLvzBxwkdfGFtRUI3qTx0YwoN6ZOUauA7KxBTXViN7ksREMqHdmjpEzPqWCf/8G04KgplqivMljIxhQ78wcI2f+KRWZ/1YtgppqheJNHhvBgHpn5hg5649S0dffR446unz4KFpY4ysFSiQ/CjqbfmPNLhykTcthRJn/mNGYnV7rsyW6GgPVmzwOJFHUOzOnterZoo809iaPW09A6vWcHefMkQX+BQv9HWvK79mi+8a1W2/yGFGbVO/MnMlsaTfS2Js8bj0BqXdmDrh5/dVnS/SR5HmTxy2TQOqdmQNu5r/PlugjyfMmj1smgdQ7MwfczH+fLdFHkudNHrdMAql3Zg64mf8+W6KPJM+bPG6ZBFLvzBxwM/99tkQfSZ43edwyCaTemTng3vHybwtrkxOEHz50DIMGWgYFTbKzEz5IbRo1tcHDjzf4P0qsiwZ8A8KTe2u+yIma7y6PP/Of9Zfjz80QBg34CSPnn5x/qQawPNaVhuVmcTnmmGPLhz98hHD5LDPvnHn1raC+TZ5/8vyzdOefObSwxnW3YME8kb6KGsacBameqDU2Xy9l/pcu/y1rk7OZ15/IDWTWH2cgZqNVUo6/nH9y/s35N//+cjOkQQN+wpxxNm0zbWwbNd/ddPMPLawtoj7dHwEWwYCPEnBk4ANUSnCSUh8sx+17raNAbMc9w6kGbWPLjK8TcOZfMhCKI+svxx/NcfRfzj+UBjfduwlXJw4bNwYw3Q5kZOT8e2vn348c+5FyxOGHU171C1nSywv+8Ic/lB/9+Mfl91ddVa677rpy17vdrdx/663Lve9977LmmmvUBZD6NYUvh5SV5Px70023lJ/+9Cfl5z+/sNxww5/Lne98p7LJJpuWBz34QeWKyy8vp3/rjPK0pz+t3PWud7G89IXHPwv7m9/8pvz84ovLLy+5pKyzzjpls802LX+3ySZlk7/btKyxBj1OO+H4b7llcfnFLy6m+BdJDm+++aZyr3vdu2y11f3KRhtt7NqFDvqPUG688cZyHX0f1/P/r7++bLfdtmX1NdaUb/Kvf/1r+e1vfluuufaast5665Ut7rk5faa1lvv8s6O8FZQX1ua74+CPvvJ8/9PMv5zj884/X76v1Vdfvfz93/992XjjjeNXTNqtHX/6pXbfs6kGBt89DJGR8Sfl/6Yb/1rOP/9n5de//U2ZPWu1ck8aD1tvvVVNY8xi+1I7O5LuZGRk/iflf1Uf/+4rDzC/f1w5cFqy/rP+eQGybmFwkLKSXP9Nc/7HIfUyHOJKVv92x5pMvu1rcR+zG7D+6OKRmac3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fp99aEAFhqa1Eb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmLs3Q1fZ9scde2w5XBbWuOliehSU71ijt4KKhsvExeV3V/2+HPrBQ8tXvvJlvZLmLmjj3/Xj6yU2zp07p7zh9a8vW2y5ZXckpVx9zTVlt5e8uKy97nplLVp0mkVvHpX/C7MUXgi6//23Lvvv/6ZyMS1WvZ76uRMteK215tpl9dVnF3qjQll08yJaCPtTeei/PLS85MUv4aB9ytQ2YuaPu+jmm8vHPvGJ8rHjji1/ogU1Pbp6IORfd911ZKGNO/n4xz9Rtt1uGzoqPriY/3O/d25598HvLhdeeGE4fuYxe5111y2v2vdV5d+e/m/clWwchX3/99Wvlg9+4H20KPe7QXxuv/76G5TnP//5ZZddnkuP5HL0GP98WtzZ5xX7lKt/f7X06/N/yilfKavTd3fYhz5UvvDFL9S2QqOeS3n6U59SXr7nXmWjDTcgLfz7s5KExfF0a0fdEHwmcWDVMJfuWGPTfHp5QeupfU1K93vriUDsrEVtyLMFxybm7s3QVfq9NSEAlto46iJaBP3EJz5WDqWczpJCJw4d2Gv3e23Zeeed+ybWWeyp0XzkntNYLX7//VsAgGEn4unN0FX6PTpiCZbaWtYb8mzBsYm5ezN0lX5vTQiApbYWtSHPFhybmNubTz/99PKugw4qV9Gi2iL68mZTnEc88lHloIMPDjW6vOLzh8LnUen39pEdS23tqBvybMHouHP0Zug+MmytabS0qA01bkWxibl7M3SVfm9NCICltha1Ic8WHJuYuzdDV+n31oQAWGprURvybMGxibl7M3SVfm9NCICltha1Ic8WHJuYuzdDV+n31oQAWGprURvybMGxibl7M3SVfm9NCICltha1Ic8WHJuYuzdDV+n31oQAWGprURvybMGxibl7M3SVfm9NCICltha1Ic8WHJuYuzdDV+n31oQAWGprURvybMGxibl7M3SVfm9NCICltha1Ic8WHJuYuzdDV+n31oQAWGprURvybMGxibl7M3SVfm9NCICltha1Ic8WHJuYW8z8VlCsIoYuXCOFbu988oFEpyueYOc4ZKgrpRZ1BGR8ul6U9OGPKU0drjw0rW4f8sw5Jr52IBeeLcXso47pv5m2zD/Sl/nXPyaoWlyNKXR75xOi6Dn+fc50vFFicvzl/DNh/j22Lqzp/DurnH3OWbQ4E19ecMstt5Tnv+AF5Wfnn0flNUsWjvZ95b5l9TVXK/PnzS/f+tZp5YY/3YAJrLzlrW8pT3nKU+p0r/V31e+vKo9//OMnngI4/j//8z+XD3zw/eWC8y8oz3veroVvZJ9F5xS+JuC4/Acxy3952MPK+957iPtOOQZ1vYTzDy/Wff3rX5fP8E//9E+FH1u8z33uU66++ury+c+fUM47j4+P//SeRYspHy/bbrOdxZDuyfvud7+n/M/xx+siy+zFZbtttysPetAO5c53unP51aWXlq98+Su1zSziHlwe8YiH2/g77bTTyn777Wc5eOYzn1m233778utf/7p84xvfLBdccIHF336H7csh7zmE7gi8q/AR/3vf+3556W67WXw5bt7Rf8ced1z5rzf9V7n8isvpbqp7lPvd7750l855tAh3DS1M8ty4WI73E7S4uNZadPea25bV+XfOjvQoKIVqLy/gz0aGCfWHj7Cs4ks+Qqzp4//pj38qb3rT/uXb3/k2ddvq7x8e8IBy5BFHlrXWXrN+fM3/kuoPxzomV8bj97mkI6QMuL3Clfr4Fy1aRI+6H12OOvJoq3/+wOvSwvcnP/UpuovznvXzy9CoXx9/07WA3DG6I9csOJ8MPtGpXbBz92RYRevfH4seltuH4+RjpENdwvxryR4BWf9IX9Zfjr+cf2SKcHOMQrd3Pp1jc/7p5193x1o344bksc8b6hKcN1nz6gtNHFGg061dBwYUb8j4cgrwKbH0Zf7t9Gj5MVDL2OmWtw4MKN6Q9Zf1R5cgviSsfHL85firl6dWHwbC/IOFNSkdup6bd7a+vED02oQXnHZ93vPkD2vklRfT1qPFJK6/v9z4F7nLiu8041M0/wF+wklf0D9cax830qNYZ1PffyV56S8vLccf/5ny+6tpwadum222WXnd615XHvKQhxR+3PTNb35L+c63z6DO6G416o/vAnvSE59Q7rfV1mXrrbYqD3zgA8i69PX/3TPPpDu9XsEfrjxn5+eU1+z3auq3XsAS4j/CD6K7Wk484QQ+BLljbbttt/WU8pnPfLq8hxb0tNXisgfd/fXiF7ywzFqNPyO1ocW4D37gg+TX5bkH0aLZMcd8pPaxuOy776vLGXxMi8hEidtt95eV3XffXdry7it0x9lb/uvNEp8bPePfnl7euP/+5uc8XHPtdeX73/seLcZdWQ4/4sPlL7SguVjDK48+/Kte+Yqyy3/sSmtps+iOq0XlqKOPKsccTYsL/Icv/fe6/V5X/n3nZxG/Hb8L0mD97sYN4+cfXqzk45+3YKH2bn0YCPXX+h5Brol6vWE8PnioU0mmHKZrK9DpI6Gvv/6PZa899yg/Pe988nIsztbishEtWH7qk5+kOwvvTtrS1189aHw86mzm+EIcULxh+R7/qh6ff1zm4He9SxbMpRCxckO1cOwxx5YHbv8A+Ub1C5mw9zfgEpoAAEAASURBVOkeJCTzn/Wf4398Gqtjg8eMjSEDq8T8PxjuA0OO/xz/K/n41/vV2ih0Q3B0XEqNN08YqNyWt3bJ2HoDglSm36vH+w0bAN8ZBKrOe94yvubBzaz2jbnMgVRlyyHyZ1wDaOIMAlXnPW9on/FbnoAgNVN+rx7vN2wAfGcQqDrvecv8ax6y/lqdAEEiQ02qx/sNGwDbGQSqznvesv40D0uqv2PpscjDP8QvL+DLpMXlbLoDbTY9don8cT5/+P0flJfQY5xYmOGL6VNOOaVsuNFGGoT08y84rzxv1+fxmpFsj6Q7tfjurknxL6LHKPlxR1lgoDs6+DHMk+nxxbvdfX05T3zp5JPL2/777YKf/aydyyv22aestc7atXcW/MnqpxSoOu95w+cHj1/QcDQtcrH9Q4cfXv7fTjsJz+/+zI+Z/uu/SpNPfpzuWNtuO4syj96Wuudee0nHfPwPfvCDy5FHHaXNJfTicjA9Hnr8Zz8rNo7zoAc9qBxNi1r4NC+nhZoFlF+hk/XZz34O3cH2GuHrbnF5zWtfW0775ml0dx59DOqE76zZZuv74zACl++yO4gWD3jNgPNIl3nlZXvsQd/VS8Lx/+EP15dHPfKR8t3w53oYHeMh732v6wtQPxk+H1sNG4hc0cSnBH4rKG8L6VFQ3VpDIMhKcEI93m/YAOjOIFB13vPGx6lb4wFBgtGkev50ww3lFXvvXb7/wx/I8c+mL4J+B7isS79Vx4un99ryXtTE9SJQdd7z9rfEdz23KN4oEZxBoOq85+2OHv99h7y3fPrTn6E8tD/yeW5614EHlkc/5jEuP5Kuums5RP7UQm4D4DuDQNV5zxva+4ZoAalMv299oL1xDYDvDAJV5z1vaJ/xW56AIDVTfq8e7zdsAHxnEKg673nL/Gsesv5anQBBIkNNqsf7DRsA2xkEqs573rL+NA935PqTO9asTAzUxOBfmkg1lwEkD1ySraJcA+9H4yqjGGlDBP6XXtrQsoHaL4QRqmFUh7HKKFwQ9EGEjC/JQOYy/5QOX+e1VAZ5sYShlrgdjFVGkfWH9FhOyZDjT7JhqTGAJFXZ20d1GKuMIusP6UFql/P579iPHFuO+PDhRV8fNKucc/bZZbXV9TfW9EtfTHeZ3UiPZj5Pfqifp53HP+7x5R3vfAc+oclXvuJV5cwzv0PTkB7Egvn0A/Z+nhIzDpDuajvhxHLgAQfKTWkc/+H/+vDynne/u/Bjo/yY5A20wPHkJz2JHi19Kw1B/hO5dmfAQivo7U6Xx0C/9g3qYBE9frlDOfTQD9Ji3npWb6DuSnd6nX/B+XTH2sfpZQD0KGjN/4te9KLywx/9SA+HyJ/5n8/Qywbw4+ca/oc/+JEsQOL4DzzggPKYxz7GPuT/nfrVsv+b3kA6J2Vx+dSnPk0vfqBFM1IR/yc//kl5wQtfYG1eve++ZZfn0gKktIjH/+1vf7u86lWvMu5mm25eTjrpRPpttnoLGzolBn/+H/3wx3L8m222efkiLWL6wEY1ULu9lfU3d+5cOpbF+ijooC8OCWOVUbRE1PDIP6to2QBIVRphJh2kGBhWvsPvda9/XeHHdmVzx//hI48sc3bc0X2QGgcCncyog1RlFMO+XXy0XJ7HP+h7FYzPd5a+973vo1xSxuTczZkrZc896A7Tl7yQkI6/5VH/OkFQCN7sC1NVdRirjGKkDRHy+iOmEymsaTXR20d1GKuMIvOP9CCpNoZcanqOcQnw0MLW80SHscooXJDaScbP8Z/znwwGjJzBeWXCeGuPgrpBBC5LdAjpfcDN1xB8kOIZuJ0h49sgRs5YIkOQ3gfcfA3BBymegdsZMv+Z/zqJomZYokIgvQ+4+RqCD1I8A7czZP1l/d3B6u9Yeivo4YfzHWu0Uf2fM6+9vECNOv7+/Ocb6C6kc8sGG64vvysGHySPIr4b5IQTPl9Ns+j31+bRoll7TrEff/zDqq997X60iPEtbUP6vq+mxyW/dXpZcO5CWbg6jn43bK211/Z/Ctf+o2ijuCHPOOjgg8pnP/s53CBXtttmm/LUpz1NXriw5Zb3rn9/Ly4Lzz23XH7ZZfTj5o+kt4XeWbr47e9+V55Ij6HSTUuyCPjgHR5Ej1fSo5VuQ9Qr6PfN+O2RD/iHB8hbIx1F5rGLfnZhuezyy8pOtAC13p3uRG60ZEhvGv3tb8uTn/gkuVuNPXvtuWd50YtfPHr83/3ud+lOvldQD/o/vmPwlfQYKH1K+n/cdtt9t3Luud+T49/4HhvTSyjot+Bki/HxR7xvDQak9wHDN2cOLTzRtoAeBe034YBoTmeg4/9b44d8WgwFSxOfv9ejjzzK8o8lmLe//W1UA08ayazrW6A7nini39bHv6rHnzeP7iylMcNjAN8dfw1PfdpT6ffy/ovuBCVrGB7u+1oJ6m9Vz//fOv7y+ENxygyCCoUUY7drvoY6ip5pBm5nyPq/zc8/Wf9Z/6PjloxupPYU52ustrDm6c2v1l437tAxtBi5ASItro9PNKNDfSe9btShY2gxcgNEyvj6+EpLikN9EnvdqEPH0GLkBoiU+c/86+V3KwtDfRH1+kTizBOgb5b1l/V3W9ffR4/9KD0a+SEtS7qmOYd+B03eCtrXe6ffdNNN9FbMi+i3vq4oV9KP7195xZWFF3ou/dWl9Mghf6+FflPtbHqjZ30RghV+BdQf1/8f//DH8uznPLv8lhaU2l/C1Jou8k846YSy5RZbaoMufutu6BhairzBc5dddgnNFtPLB2bTD5StQ4+h7rDDDnJ3Gd+Nt8Yaa4RBfNJJJ5V3vuOdcs3Lj2c+9znPpQXAfduBxL/U3UVOCzdA9CH5+K/67VXlF5f8Ql5g8Ovf/Lr86pe/Kqee+n9y/LQKUF7+sj3KS19Kb0AdOajvfvesss8+/yl/DFBX5Z3vfGd57OMeN0YtL3vZy8rChbrYtfHGtLBGL1lYHvPP3Dlz5ftvj4IOjlwN9fhvq/r/w3V/KGfNO6tcesml9GKO55c111yzfPes75Z99t6HPp/WH+efk/kCenHH3v+5t9bn4HCGX8zQMmgk/S6P/HOkO0L8G+kuWl4o/sEPvlee8tSnlk032VTmkH9/1r+XP9Ij3Tz/yEZg+wduX4444gj5jmHmJGX+8/x7W80/WX85/nL+yflnec4/cWFNTnjuGmbCKro/QeIsqhcU3WUFVJG84wsPOpxqh9v3xxfPdmLO+JQMy4alyYBLoEJnYBJUkbzL/Gf95fjL+YcmAppWMD3IxKCTA/3Bk/OvzbjL+fzzEfqNtSM+pAtr/N5DXgybTY+CjsXnH/j/7pnfLd887Zvyds0/06Oa/PGUXH/NiAzy2CZ1cBYt/KyxOi1ScWczzP8/pkcsX/SiFxKN3vtJ7fn7fwO9wfNZz6If2F+Gx3/guw4oJ5xILyegALOkyDQWXYBI+XH8Bz7wgeWAdx1Y7kGLT7KR779pUU0fnVTTnnvtWV78ohdXP4maLE2FJST63fH/+je/LV//6tfKV7/21fKT835Kn6XFx/HXLsvL6eUGL3UvONBOdc+P7e61Fy+ssT6rHEif+zGPfpRgZdC+fpw9Xr5Hmb9gnnA32uge5ZT69tLu0wr/bxl/c+lRSf7+5+M31hBAJO84xG07/3+Jjv2tb34r5UK//zfTnUz//M8PKc98xrPKn/70pzD//Au9qfY9h7yPFpt5lW1kw/GRS6EzMB2qSN7d9sd/W+f/b41/wc8uKLu9dLeC+eeJT3pieetb31ZevsfLy7lUd5h/eFjdY6ON6XcK6WUT9NuNetGf+f9b8y9FjB3qW+qapxdnYA5UkbzL/Gf+b9v5P/Of+b8j/P2lC2uYgGXq1V00Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58Ooi9I10s0Oc1BR58KfoR+0P8I+mF/WU2gO7jsjjXqzYe56OcXlv9605vLzy66kH+mTBZoOCC/xfOhD31o2XzzzekNfJ8v3z7jDGnHvrPPOqusznd/zbTVIIcd+qHy0Y8fp0GJ/8QnPrG87e1v1zUjae8+jYMzdT3m4x/8fxctsPEB8HqUrGkJoB0dP3/4dekNpHyX2vobbCCcN7/5zeXLp3xZFuN40WmfvfYOv4M2FmfMtpgWJvkFCkcd9eEQnx/NfPzjnlC2uv/9ypprrClvR+X2fJgvpzvNdtttt6rxB22QF0H/8z9pYa1uBx98cHnkIx8JNci96MUL/AIG/qNi4403ao+CIpeQrlU0Oc1BRxc4l15ewO4FWFjrCb2OviCdP5qc5qCjLzXkXJxDuZCvnfq6z33vUzZYf8MyfyEtPHLfdbvnFluUT9Bv7d1p8MguEepXAe7UEscC6TqKJqc56OjTQfQF6XqJJqc56OjTQfQF6XqJpqYdd+xx7S7byn/GM55RTjzxRP1OXR/yO4b339pZOohuIZ07mpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKNPB9EXpOslmpzmoKMPYLxjzdwjrUdMQhe7cxo0INdLciFFDXBN1LwW1IER74gp41MGJC8uOQYNZP4pTVl/tVTqKGvVUQ1BjHhHTNJE7M5p0EDWHyUq6y/rr40IzcVHjjmmfPjDH7bxwQsO8iioWUq5+OKLy8477yw3fCyWu5cXl6c8+cll7332Luuvv4HN/wcddHD53Oc+Z4tV59CjdavTQhFviAvpbfxY6W50Vxbfucab1indKfb2/y5PoAU223xjMxIQu3MaNBDiX/3735dvfetb8tZHfuPp5Zdfbn7uluPz44F7y2OBpbztbW8r//u//2vH/9zn7lL2pZcK2LaU8d/x3/9dvvDFL0r/3PbuG6xf9n/DG8u/0ls6+S4b3n7Hv+f2BPo9N/ofL/3tbgtr5GyHI9yzzz6LFtboEUW+A49WOw+mt7A+4hGPcLzW4D/pLZe80MkWvhuPf2OteaW7bjfiHTFJI7Grcw4vrBFcuHABuVoDIEhu57H0E3Yj3hGTNBG7cxo0YLHY8vb6fdabFlsXNT5/E/x4MC/K3POe96xWEq27ZmMkduc0aMCaNsvk7rRzz6zhRkziEbtzGjRwu4rPY5G/Qx4jMlpr/fOI4Q2L5QfTHZyPevRj1EZ79raMRCyksPPM6hgxiUfszmnQgMVtlozvcxFS35IazZMaiN05DRrI/FMms/7jmGvVEctMtRHviEm4YndOgway/rL+Vvj4o4W1RfQEBF8cTizpGQuzla+2H+49w2Mw6RSd8TP/WX8yIMZHyOQT8xgfI0ulZ3gMVo6/nH9y/r8tzn9H04+1H3kkLazR+W82zX9n08La7NXao6B8l9VznrNLuYgW12bxo3M0fF9Gi2C70/8xkiH5zq72o/j0KCgt5MjvlRmTxzvYGPulHHLIe2kR4zMSn728eIfHI0+iu1D4ziG0gvQ9eVvr1aPF5av06OWPf/zj8rzn71o22rA+5lkpV131u3L88Z8rH6XHYn38M+juO757je+QOezww+34H/PoR9Ndb+8a/Uw+asOLyze+8U29E42fQaBcr7/++nTMnywb0aNqnBOM/8voxQlP+7d/s+PnO9ZeSnes4Rghue+z6I61vemONbXNKu95z7vLwx/+cHZ122JZJOTvg1cHN6ZHQf335ONzQx8DHcEG6XnexgtrvMU71jzDY6HSrh0/W8YZy+7889GPfqwcdthhLpLG5/rn2Fx/76G7/2SRkj8QbfhMkJNsQh7sxlp50oo9fs3kqhv/Rz/8YXkxvdADWVXJF2/tVtrn0pt02+I3mHzMHiMHmX/MP5MztOzG36pef/XPBKuksYpCZan0DI/ByvrL+svr39vi+hfj8/ZYf+6OtTrpiPATkLdzKrwPk9PSS2tNgK5x679zuX6FYKwWz0wGlj6oY1prAhk/848TtdW1FIhVSdYfxrulxIAbVUsPrTWBHH85/u7I4++oY+gtiEcdKVMPXd7TI3L0VtDZq1FR6Cj5+cU/L89+9s40uOjCj/5u3ZQe+TyJXiowmzndxneYffHkLwqX/8jlH9f/zpnfKa/d77XyY//P3eW50sKPv6994+vljW94vcR/Ny0Mcb/7voruBqvxt9l2m8JvLl1zjbVsenQgfAJe9MPFWXCQ8trXvbZ88+unlT332sPessnTih//fJfVy1728tr9YrpL7Utlk002KT/+yY/KC1/4Ijl+vitm/Q3uVr78pS+XNegH7ydtfJffL3/5y7LT/9uprLfueuUNb3xD+dr/fV2Oi4//HfSY6xOe8MQQnwNfccWV5alPeaod/8teTo+CvvSlZRdaKLjoggvpccV2J9hZdEcg7qrjGtY71h4++pH47sKzzjxb+t2I7lg7hd8K2h1/PXA7fiLXvvgTE67CgUEsXVibRQtr8wc+GHw3Pv/WrxCMRc0qNpMBdHmr5M8uvLA8l19kQd1wfF5QE1zj7Pofu5ZXvsq/XXXZxrdPX+Mjy/E4jbXMj996XkXj33LLzeWRj3hkuYHeVCx3p1GG5CusB/aABzyQHrc+si7qD0tjVT9+q5PhoS2VJY+/zmyraP3n928VvFT13pOsdX7/g+uPdp63LFH6KjaTgT61S6VbawK3xfn/jhLfLazF78USAHP3RfgLaeW6FoAi+U8G+sMA/YgEIRiDMmCQwRdCxqdhWJOquXIZAxSZ+c/6y/GX84+fXjFBeFvEAwYZcv6tfxRQqpbF+eeoo46iP0KP5t4k+f5NnmzhBRi+E403Xut60tOeSj/8rnoff7eXvrh8//s/FC53dyYt/Jzwuc+XQ973Xnps9BXlBc9/vvpkv1jegPmMZz6Tey7+8cpDDjmkfObTn7G3iz7nOc8pr3nNa+Qjjn3/N9BLFI6gx1lP/uJJZYMNNip77LEH/Yg/PQImf21z94vLa2hx71unnUa/L7Zx+dKXvkQLeOyMI5I/Fj/y+gtaFGMfL/rd7a53Lbfcckt51r//e7mM3ti5iNrxD3QfeMCB5dEUY+z8x4+2Pu2pTyu/pTvhPvnxT5Rttr0/PdL6pPI7fvNp3b5An3XzzdxjhtU+b968steee5I2S44fdwfyghXnfx4trOFTn3nmWeUVr6BHQWnj7+o97z6I7rLilxfQxgZ3/HvSSw74N9Z4k7eCfuXLlSCm0R26MCcZxvLPfuUuLnPoraC8LZhPC4Au/sp2/nva059arrjsCvnc7YOWss0225SPfeyj9Dj06pZCOSDeLcXxa1/KXZmPH9+YHdsImOb7X1HHf+CBB9JvOtJvqskCvB7NbMJ858HJJ58sbwnN/KMO8/p7ZZt/VvXxx9NFf/4PL67A5CEy6y/rL//+w3WbnmoxQFQb2w8YZFjS9Zc//9rC2mD4+ZE7EnnADxx8LMjqhArpLp8G/WV8+p5iOfgUD/LlnZZXS7R6oUIaj0813fST+c/8Z/2FUeWVwXjxThtXNtBy/HEGkA5IM9wx5x9+DPToo4+R2uB64jd5rok7sWj+5d9c22tv+oF8zhdt/KKC97///YJ9/f30pz8tz+8Wzk7/1hn0Fs7Plw9+8FB5LIsfz0K6z/vp+eX1b3gd/b7ZZWWzzTaX32ZbY8016G/hWeXGm24sL3jBC8qFF/yMTj90uU6noPfQ74f1jzkiPv9o+QEHHCCfCbtTTz2lbLjhRqTqF73ffvvJwhqrHzjsg+Uh//iQeg1ihUCuxeWxj31cuebqq8u6661bvvXN0+SxWO7zdHos9NXud9V4cepouttvs003Q0iT/BtQb3vbW+m3zP6u/O+XTpa78Dg351GOOP5iesHkx477ePn7f9iO2sT4++77ankBhCwKLFpMd8q9kPK/d+GXAvDmH7E849v6mfg0yRs/nvpoekxVN/SrkhcbF8ynu8hIvfuG65evnvrV0eMPl79TnH/bo6B8x5qtrNXPRCJ+LGdg14o7//PC7XvpEeT2gTT+p+l31e5///vr553i+LUh7wcHWvskEdIC3oo9fvt4DRBacflvYac7/vPPP7/8x67/QXcb0vzAXdTt9XibsAVo/QsFKqTxMv+r0vfP3+Xg89YaUIEvGLI6oULm90+J0b/xBvnM+Y9So7kJpWWl1M2XgYQCg7RGOf/n+a9dHizH+WcW/8RaHdtWmr4c+RX0+HFfbzdyV7Nm78idKjSxjTi8KeNn/rP+cPLFadhGmQE/ZtrgMrebQjrboKGbd4ia4y/HX46/ZTf+rr322nLVVVeV66+/nu4me1857ye04EPd86LK/m/av2y99dZlgw03lB+5v/6P19OP6T+x/OXPf5YFLr4j5JD3vkd+cB+j+JJLLil70l1Wv6E7smjNSMY59/fG17+xnPp/p5Rzz/1e2X//N5X73u++5aILf0Z3tf3AfuOLh/4Gd19f3kx63/veV7rk3zw77EOHly/RAhX3Q9cH8gf03vvsU3Z40IPLOmuvVba63/3Ipzl505veVE499VSJi/gfpgXDOQ+mxSillP3ojrVvnvZNUnWyOZx+M22nnXZSrc4/nz3+eHqc8t1yBM9/wQvLPrSgxRvmn89+9rPloIPfLX3wjTL88oEPfOD9dJfTtroASNwzv/Od8spXvlLiHvCOA8pjH/dY6YN/1+vQww61+Ntvv3059NDD5Efyua9bFt1SjjryqPIReuyVM8gXRPzRt/v77cqznvksepHD28vd6XfZvvDFk8uVV1xe/vqXv5T/oc97yin0EgL+/LQ9ihbVnr/rrmXtddYpm2y6SbnumuvK9X/8Ay1eXlHe8pa3lj/d8CeLz28Q3WSTTQu/kZTzL8G0G9nXlCi+FddfO/HLC6iVLAD6TsjWqS3OiMObkH9u4O3SgdsNfJ3Bq3yX466Uq1/+6ld46ljuQnzMY+OP3UvMW3H8tdz0U/mAZOlU4YhtxOFNy+P49QPWz+SDVYc3razx+U5aX//8uPS+NPZmzeZZgDZ/EEO1UTpe33RlPX45ALcbHEZn6NQ8fsqA5GQkMd6U339ef+b1p57Z/LhwU0+bS7yxI3dqazPi8KYcf9ONP7tjTb8Tn1K2eN1jZQd3NaGNsmnv758Dh69GR1ej+xhe9zjjSwZGUpL516TYPutv8Ieb/DWY4w+zkZP9gPK6xzn/5PxDGRgpCRjVRftu/vn0pz5Fd+scQn+A0sUSk9ANXzvJKg0v6swq8+V3shbTGzRPp0cp+VFM7ZF9j370o2ih7H7yOOdXaHGHt2c+45nyCOAll14i7RF/m/tvW/bY8+XlFbzgRJ+FF7fk39Jc/KfTD/a/af/9+QOUT37yU+UD7/8AIe5Be6FGIT7fbfSwhz1M3EcdzY+zHiWYL4AX0f9OPeXUsuFGG0ksjvna1+1HC2unEafFf/CDH1x22GEH+v22NcpZdGfeD3/4A4nx5Cc/pbzlzW/R/CA+hecAZ5zxbbpz7dWC+ZOxe31aYOM7ta688kp6s+mPJf5b3/K28uSnPNni33wLvfl0t93Lj8iP47/H391DFi05r9+gz3bppb8q69Ki2M47P7t8jBbi+uM/+KCDyt1pEWx36ocDI77kpn4WHP+hdJfg5084oZxx+reISsdMaw3Kb8fP3/9W99uqfOYzn+HWdWOWXkSrwesej9Pn0qOgnP+FCxZKPFnIpPihS266klx/8csi+MJ90802o98WxLLs9Mfvc6bZov1KfPz1W3Si/4697nFtMmLSSpNvXmp9eR7/1b+/ulx73bVl0003LWuvvXb4UPrRaJ/5X2nHnyu88N01uy8wjyfQxWzf/HKvvzrJtY+b8SkDmX8ecJaFnH9y/vGXFDxHrIDrH1lY86uSOjA5ev00UqFWpuyApxVvZxGS33FzZo/+Mc/H2VYFM74ki/KV+ZcSktKTndQb2zBOmjVapJ3fSUppl/Xns2I4x1/OP/hXwZx/ZbKgsbF85t9PffpT5f2HvI/ugNqgrL46vYSAwvBdYYvot8Q48tVX/15sC+Yv1PFJxvMu+Gk57NDD6a2h9AP4tMk0Rna+Zrwn/VH72te9vjzkIQ+hxx1/Ut7whjeWy+iuKu5s6622Kge+66ByHd0l9+IXv4gWoSjmGqvLXUI33XyL3Al3w19ukLuy+DEu3k488YRywIEH0Bs51ytrr7VOWWO11ejxSQ42u9x08030+a4uBx1Ejz0+6tHyeW/8y5/lh/u/9rWvlfvd9z7lxS95qTyyKp3V3X6v2a+cRnesvYAerVyNjvm4j/AbQPnAqV9edKLjvye9mOFR9Ltpe9Ii4GoUc1L++bHXD37wA7p4RF3Mpj6kL2qx9Vb3K/u84pXlH//xH314ycWNN/61fPRjHytfpt83u+Kyywfxd6Hfkttt95eVO995vfJ+uhPu0/S4IieYLpDK7nvsTi8x2L2c+73v0QLdbmU9elR17bXWLqtRLhH/5ptvpjvZ/kx3pv25HHPMMeUTn/gELaydrt+zHA8dK39x9N8tN91c/vyXv5YN6fs48aQTl9n1z9w5O8px+UdWJREUWpKQ579YF1XL81+e//L8RxOTbDJZEKo6q/JberpYwRTPxBIG22WOMa9azEwzU15/I3MuN5y1/PuXSgO5yfrT6sjxZ3PHKjj/6B1r3eQpx8FHhVrXb3rGfRgOQRk2G7gzfjh5Zf5rzWT9DQfPBEsYU0EZNhi4c/zl+HMnr5x/Vs75hxfffk4/7v/ziy4qd7rTXcqW996Cfmdsc3kZAMb0TTfeSC8AuKTc5S53LvfY5B70GGd9NMtNA+Da9Lqcx//3f/D9csOfbpDFP/4YN9CjrZdeemm58vLLy53vcld5tPQud70zeeqfaYMP6D58hVdcfmX51WW/LL+/6uqyMd0dt81221JO7qSXLEtofw0tNJ5//nnl2quvKffcYsuy5RZb0Oe4U4j/61//mh7lvJ5+g24zWmRcd/gBOksIGZSOSOrAzYZlMP7kJQvUlby8gMPaF8xK25ZXfI4gIQcBWmxGA/cyOn7uO+OPJZgz07bMv+bChkfW3zKZfzirOf4oCYMBpvWG/cCd9Zf1twzO/1xfOf4oCYMBhpGncuBeDuNvFj0Wwv/w7TaJUnX3EarZe5mk+gQneiX3YiocfhBCN/Si/9oMa/SxxjzeiDEhhJonOLWxtM34mf+sP4y0Ol5oUPmq0OECH2uMecvxl/NPKAOpCt5ptdSa8aVjDCXl/OtHGhKV489nRUsGuWGNMW85/yzN/DNnR/1du7E71nL8+UpDjeX481nRsYbcsJbjT3OS88/SzD/gaM7cnsoo5x8/0jDGcv7xWdGKQW5Yy/lHc5LzD+YWXx2oELtrtndq8qSMVvT8Q3es0XMYdOEqn2nCB5tgxsdeogztWeGNakU39co+EOHX4WX0Zl5qFLplhTfrUL2yD0Sl8X6CuRGWgEJ7VnjL+JqHml3JUUhUdZOYYG6EJaDQnhXeMv+ah8y/FIPUSCiUmh4SE8yNsAQU2rPCW9af5iHrT4pBaiQUSk0PiQnmRlgCCu1Z4S3rT/NwO6q/SQtr+f135Z713yUkr/9ljISBUqcHEhPMjbAEFNqzwlvOv5qH29H8Ww9oIPL778qdM5T1X+tEq0P2oVBaGU0wN8ISUGjPCm+Zf83Dcpp/9FFQDhGyX2NC8G+h8DPQJMZ+CxC0Mdm6HVuddy0a0RkrzPiZ/6y/HH85/+T8S6chuyYYnikGlnZayfPP8F+HXbpaopyxwjz/rhLnX34UlDd/x1r7WrP+s/7bPft1ZDfRCqXZgHL8rxLjH1+Xl+1rzfGf4z/H/8RrxzZQ/PBRnPNfzn+3cv1h5FHQWldSTIzHS3GmOpRFutrNePPamsTEhbqMX1Of+UcpeZn1N2lkUpY4OdhGyyfHn2Qv55+cf2l8jA8RKg5xjHpn/HeoHH+YfEiOpi/nn+Ux/9gda/MXtC8g899yYSjrb3nUX0gvlKw/ZMLJrL+sPxoYVAb59++kSwRKjswdoxNIXn/RbDKeGXLw9IJtlJTzz/Kef+xRUPkear7xnbCMpvaFyLcana6ZOuCGNEIwOMVBcKOpajBCgmxSHXBDdu6qOq+D4EZT1WCEBNmkOuCG7NxVdV4HwY2mqsEICbJJdcAN2bmr6rwOghtNVYMREmST6oAbsnNX1XkdBDeaqgYjJMgm1QE3ZOeuqvM6CG40VQ1GSJBNqgNuyM5dVed1ENxoqhqMkCCbVAfckJ27qs7rILjRVDUYIUE2qQ64ITt3VZ3XQXCjqWowQoJsUh1wQ3buqjqvg+BGU9VghATZpDrghuzcVXVeB8GNpqrBCAmySXXADdm5q+q8DoIbTVWDERJkk+qAG7JzV9V5HQQ3mqoGIyTIJtUBN2TnrqrzOghuNFUNRkiQTaoDbsjOXVXndRDcaKoajJAgm1QH3JCdu6rO6yC40VQ1GCFBNqkOuCE7d1Wd10Fwo6lqMEKCbFIdcEN27qo6r4PgRlPVYIQE2aQ64Ibs3FV1XgfBjaaqwQhZye2OtflksV8e6a7hyBXaOcXBaeKjDQKgO0jzB4NTHAQ3mqoGIyTIJtUBN2TnrqrzOghuNFUNRkiQTaoDbsjOXVXndRDcaKoajJAgm1QH3JCdu6rO6yC40VQ1GCFBNqkOuCE7d1Wd10Fwo6lqMEKCbFIdcEN27qo6r4PgRlPVYIQE2aQ64Ibs3FV1XgfBjaaqwQgJskl1wA3ZuavqvA6CG01VgxESZJPqgBuyc1fVeR0EN5qqBiMkyCbVATdk566q8zoIbjRVDUZIkE2qA27Izl1V53UQ3GiqGoyQIJtUB9yQnbuqzusguNFUNRghQTapDrghO3dVnddBcKOpajBCgmxSHXBDdu6qOq+D4EZT1WCEBNmkOuCG7NxVdV4HwY2mqsEICbJJdcAN2bmr6rwOghtNVYMREmST6oAbsnNX1XkdBDeaqgYjJMgm1QE3ZOeuqvM6CG40VQ1GSJBN0r2x9vICkCCNNARKmUwcenpL0w0BQA7DmkUpk4lDT29puiEASIs2BEqZTBx6ekvTDQFADsOaRSmTiUNPb2m6IQBIizYESplMHHp6S9MNAUAOw5pFKZOJQ09vabohAEiLNgRKmUwcenpL0w0BQA7DmkUpk4lDT29puiEASIs2BEqZTBx6ekvTDQFADsOaRSmTiUNPb2m6IQBIizYESplMHHp6S9MNAUAOw5pFKZOJQ09vabohAEiLNgRKmUwcenpL0w0BQA7DmkUpk4lDT29puiEASIs2BEqZTBx6ekvTDQFADsOaRSmTiUNPb2m6IQBIizYESplMHHp6S9MNAUAOw5pFKZOJQ09vabohAEiLNgRKmUwcenpL0w0BQA7DmkUpQyIW1uYvWND9a3bPbbohAEiLNgRKmUwcenpL0w0BQA7DmkUpk4lDT29puiEASIs2BEqZTBx6ekvTDQFADsOaRSmTiUNPb2m6IQBIizYESplMHHp6S9MNAUAOw5pFKZOJQ09vabohAEiLNgRKmUwcenpL0w0BQA7DmkUpk4lDT29puiEASIs2BEqZTBx6ekvTDQFADsOaRSmTiUNPb2m6IQBIizYESplMHHp6S9MNAUAOw5pFKZOJQ09vabohAEiLNgRKmUwcenpL0w0BQA7DmkUpk4lDT29puiEASIs2BEqZTBx6ekvTDQFADsOaRSmTiUNPb2m6IQBIizYESplMHHp6S9MNAUAOw5pFKZOJQ09vabohAEiLNgRKmUwUD70UlKXb0ABmvpeQMO5ZhVut7gIODkjXpYPmFWDaCIN9vGX8zD/VQtafDQUMujh6oEHq6On35hVgmqPBxpK3HH85/qgWcvzZUMjxpzMDZoqoRav62t68AkxrBLudin285fyztPPPnDlzKV+L6TfWFkrmxnaW8cw/lZZlw6UKNpa8Zf0tbf1ZrjBBagLDHtnVYW6a48CW+dekZP1l/dFYyOuvwfSCmULHCTRIN6U4aF4Bpo0w2Mdbjr8cf1QLt3L8zaKXgtJ9a2MFpmWF/TgDVkiwVfKa3Sz+0Tc6i4YfjiQ6PufkE2zXF6ncU9wQF7LzZvzMf9YfDYocfzn/uB+uzfk3zz90MpXzqZw6x8+f/mw6zoAV0regWSfPvyv0/MsLa/wAKN+xxlvmP68/8/o7//7I67+8/s3r37z+tfUTulzL9Zfle/0rbwUNl8WmGIhXyyMamHQdrS8PrdKoIJghguA2xUAkj2hgZvzMv7y8gwpC1tNQKygQ6J0MblMMdOyhCmbWX9Zf1h//QZ/jL+cfN09ignQmD4PbFAOeOorBRN1BGhkEM0QQ3KYYiOQRDUzEhTQqCGaIILhNMRDJIxqYO+5Id6zNWlQWzF+Y5z/7K4IShgSN5I5NwW2KgQmtmhlMfO+QxgDBDBEEtykGInlEAxNxIY0KghkiCG5TDETyiAYm4kIaFQQzRBDcphiI5BENTMSFNCoIZogguE0xEMkjGpiIC2lUEMwQQXCbYiCSRzQwERfSqCCYIYLgNsVAJI9oYCIupFFBMEMEwW2KgUge0cBEXEijgmCGCILbFAORPKKBibiQRgXBDBEEtykGInlEAxNxIY0KghkiCG5TDETyiAYm4kIaFQQzRBDcphiI5BENTMSFNCoIZogguE0xEMkjGpiIC2lUEMwQQXCbYiCSRzQwERfSqCCYIYLgNsVAJI9oYCIupFFBMEMEwW2KgUge0cBEXEijgmCGCILbFAORPKKBibgi6V812W6bkkBVc7ChtbVYEmh9CaKdrZaONA2xqj/YMn73V+tIEoNJs8cmQbTL/FMKQ46aEmqtmoMt6y/rL6yatNoZR1o97BNEuxx/Of5y/plptLQxY+MGyx85/06cf+fO2ZGyNIseBXVvBUXecv7J+ZdqgB9OyfNPnn/y/JPnn7EM6Jk3z79+hgg5yeuPidcfY/VU/+oRl+SRdneE84/csdYS4gaUQQMtObUBakwYkda6HLTqXEF1nRg0MOgp42uNS4ZimkJWfXF3jk51nRg0kPmnDPhsZP1l/ckdalQXMz9N76umG3JBdTyDBoTptay/rL+svzon+4ERxhQrMzod2/EMGhCe11a28TdnpzlyqHFh7Y5z/BP/tewO8v3n8buhHKAftcHRKY5n0IBwvbayjf/8/ruv01T/rZlxBDieQQPC91p+/3n9lddfef0lc4KfGGim6BbW4iVox+0mIvXOzGlNerboI429yePWE5B6Z+aAi+NqbEFNNaI3eWwEA+qdmWPkemnX2IKaakRv8tgIBtQ7M8fIGZ9Swb8/w3veBDVVbGav2ojbeMOKcq4RqH21HgU11Vp4k8dGMKDemTlGzu+fUpHff6sWQU21QvEmj41gQL0zc4yc9UepyPpr1SKoqVYo3uSxEQyod2aOke8Q9bfjnDmywL9gob9jTXPQZ0v0keR5k8ctk0DqnZkD7vBsKe1GGnuTx60nIPXOzAE34/fZEn0ked7kccskkHpn5oCb+e+zJfpI8rzJ45ZJIPXOzAE3899nS/SR5HmTxy2TQOqdmQNu5r/PlugjyfMmj1smgdQ7MwfczH+fLdFHkudNHrdMAql3Zg64d7z828La5AThhx8dw6CBlkFBk+zshA9Sm0ZNbfDoDy86hkEDvgHhSXamwQepTaOmNngyPv/wo8uQQQM+YYQn2ZkGH6Q2jZra4Mn8Z/6z/twIMWjADxjCk+xMgw9Sm0ZNbfDk+Mvxl+PPjRCDBvyAITzJzjT4ILVp1NQGz9KOvzm0sMbLtwsWzBPpe2kYkSDVE7XG5s+7tPFbq8m9Lc/jz/jIQOYf/4CKjDSJ3ECqJ2qNnfWf4z/nv7z+yesfN0MaNOAnTMKT7EyDD1KbRk1t8KyK448W1hbRMbkn7u0IDfijDDgyMAFXSnCSUh+sxe2zraNAbHm3L6AxexRbZnwtwMy/ZCAUR9Zfjj+a4+i/nH8oDW66dxOuThw2bgz0067pkZHzb86/fAFet1AcpOT5f7nPPzvKW0F5YW1+N6wz/1l/ef7L839e/+T1X17/5fUvLtJYhgs1p3Z236TiyMjrf3/9b3esuYxK2lqaGhrkNmbW3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTczdm6Gr9HtrQgAstbWoDXm24NjE3L0Zukq/tyYEwFJbi9qQZwuOTcpcumONTfPp5QW2wEk6aCr93vcIltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYu7eDF2l31sTAmCprUVtyLMFxybm7s3QVfq9NSEAltpa1IY8W3BsYm4x81tBsYofunCNFLq988kHEp0u5YKd45BhpldA1I+S8fVfETL/bs3X1ZJCt3e+rD9KhuQjx1/OPzSh+r+oc/7N80+ef7sxUS86nLi9XH/M2ZEeBaXx315ewOcGMoQ5wR14hbeX48/5n77Q8F3n95/1n+M/jomc//oM5PxP0yYNk/z7O//+tmcu5G9qHSkK3d755I9v0aWA7Pzr7ljrhltozD5vqCXoTdbclaf5DdRunG7tOjCgeEPGlyHgU2Lpy/zb9GD5MZD1J6lw+bC66cCA4g05/nL80SnIl4SVT84/Of/UyxOrDwM5/0oqXD5s3HRgQPGG8fmXf2ONfwtm3oKF+rekNTGQ+ZdUuHx0aTd1QPGG8fxr25z/cv7L+U/Wd23IGMj5R1Lh8mETTgcGFG/I+Sevv/P6e6X++0PvV+NBrQM3Dt+6AOeNMv6dQaDqvOdNJlVBjQcEKe6wU4/3GzaABs4gUHXe85bxNQ/4TllDxiDBaLLlEPkzrgGwnUGg6rznDe1b1IZcSyXbvvWB9sY1ALIzCFSd97yhfYvakGupZNu3PtDeuAZAdgaBqvOeN7RvURtyLZVs+9YH2hvXAMjOIFB13vOG9i1qQ66lkm3f+kB74xoA2RkEqs573tC+RW3ItVSy7VsfaG9cAyA7g0DVec8b2reoDbmWSrZ96wPtjWsAZGcQqDrveUP7FrUh11LJtm997MSPdFEnbJlNgH4HkzolA/9HRtxizHH4XxvZyJfyxJKN7bzxH9n4I4d9wq9SNOlMrcxdpP9sV2YTJ+Nn/rP+cvzl/JPz76p8/plPi8y8yWnSSTGGnTLAY5dhA2jgDAJV5z1vOP+6Hqwv11LJtm99oL1xDYDsDAJV5z1vaJ/xW56AIDVTfq8e7zdsAHxnEKg673nL/Gsesv5anQBBIkNNqsf7DRsA2xkEqs573rL+NA+3Zf3JHWv2NRmoHwz3iJJqLgP48OCSbN+oa+D9aFxlFCNtiFB/aRAt2wfJ+CEDliCfb8cQP0hVRpH5R3qQtqz/HH+3wfyjb/ejIrxV9UdLazT/8lKaTMTWlnXa5JGwbnmNXLNoFU1fX8ON2aB0bcO6GrgXQQYcjyH1n/Ez/1l/dYDk+KtzB+dD54cyK+cfnUVRI6Tl/Ltczz/yIg+pP9rZLQ4t/3xSq5oD3IA2G8POZWSl2L63j+owVhmFC1J7zfh1DnGpQQot8cgVyXDtMqajcUw8rK0Q0Cd5lvr6Zyxe7YeFBEGkKqNwB1nb5fef+c/6k8GAkTMYo3WoDOzWAGOJ5Aqc/9ujoG4Q47OyxOeD9D7g5msIPkjxDNzOkPFtEkHOWCJDkN4H3HwNwQcpnoHbGTL/mf86iaNmWKJCIL0PuPkagg9SPAO3M2T9Zf1l/WG4mMQIgTSHA83XkHMLFM/A7Qw5/nL85fjrh02e/ygjvF7hZoqJOZqJlfMP5XGQRGfI+Tfn35x/J84tbqRM5OT8MzlL4hm4nSHnn2U6/7SFNV+uLt9i7nXjDh1Di5EbINJiOsvw40ujW99Jr1ujoWNoMXIDRMr4mf+svxx/bVJwqJ9Eet2oQ8fQYuQGiJTzT84/Of/k/NMmBYf6SaTXjTp0DC1GboBIOf/k/JPzT84/bVJwqJ9Eet2oQ8fQYuQGiJTzT84/Of/k/NMmBYf6SaTXjTp0DC1GboBIy3v+iQtrElD/hUo+xYRVTPuE7igUOgOToIrkHZtoOFU73OJQJx1wxrfhlvkfXUX29YK1Wa2lrqKgiuRd1l+Ov5x/cv6liYAmWUwPMjHo5JDnnzz/4pRCBUIVMnIXga8XkLWWuoqCKpJ3ef7J80+ef/L8QxNBnn/y/KtlwKcF3egUkX//ytCo+aCE5PkX1TGUcl1hpUNTijOwGapI3uX1x4q6/tCFNXwBknrdRZPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gnS9RJPTHHT06SD6gvz/7F0J4DZT9b6fVrRRkd2HokL4VFrQglZbqVAqS9m1qGizVaRk33faZU8bFSlbKEWLfRfJVvb0vf/nnHOfc8+dmff36fePyB2+Odtz7505c+65M/e9M79QS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADvMfWK9bcPFB6QKVw1Qejs87UE6e5jWL1RgMzYB1QtfbhAfVLcI6zzjT/w02yCrB4pOY1jqpdRGbDgEotqg9GZ53xdoumtR99Ubm+OLVWjyug+mB01pnmf3iyxX/d50p01GFm0oB1QKVY1Qejs860+Gvx1/ofYqD0iJq3Phf3EZn1Ayq1qD4YnXXG2y2a1n70RfS88QPWAVXzPzygfgnOcdaZFn9wU7v/qHNOiQ7rcfV+wDqg0jKqD0ZnnWnx1+Kv9T/EQOkRNV/3PZEiMlsHVGpRfTBmFhNr00ej/BfdxlTpzYTig7p8CB0yVCpC8HfEWvu+4jV6i16ijlT05EmJ7dOIiDyRzf8t/vB6itz5YBuOkPE3RkN4q4n7iIh8sTf/N/+3+LP+MNxDWv8b92A25C9mlr5Hh9Bt/Gv5t+Xfln/72YJ5hFmDVPTkSYnt04iIPJEt/7T80/JPyz+WD4YzRLv/e7zd/4UVa/mSKomXN+rl4kcbB4eHT700mOp9ctarAEeV9lzlzMNvNCC9NJjWvnVYc0/2jBL3UvN/FZfiqegb89y/s/fSYFr8tfjL85klrjRAPEo6eom0aBP539u8NJgWfy3+Wvyx/+SeocR7CYxRL9hoY9mHT700mNb/Wv9r/Y99J/Yz7yWlv7nKGRb8t6iXBtP6X+t/rf+x++SeocR7Set/HO/dJc7Qcf8W9dJgWv75380/YWKtjg8PAKo7gRC/62vYUIKsUvwig4WIJYFJhQSw8j7tIaCIgdjaR1Bmp5qvgsfIKm3+b/HX+l/LPzHHMkFEXc33EFC0/FtuBNr408afNv5azrBcETIGWaXt/qPdf7T7j3b/Ee8vmCCiruZ7CCja/Ue7/2A/avdf7f7rsXz/5RNrvdufGLl1zlOph68wTIuk2UiRNEyw9epr7ZeeU/nWhJ6/KgwdTNr8rx6gO0hb/MEtNlT14qn1v9b/OHJVucWEXrxUGHYw0mykSNr6HxzT+p9ERy+eWv5p+afln5w4+6TXXyoIEyxpNlIkbfkXjmn5V6KjF08t/7b82/JvTpx90usvFYQJljQbKZK2/AvH/G/m3ynyibV8bh4aft2hwQfYsDKKJ083ONSZWEaVHUVHLJABQ1S19pv/W/y1/icJI+YFTSBh17N1FB1RS6puwBBVLf+0/NPyT8s/kjBiXgipp+SSqOyAO2IpM2CIqpZ/Wv5p+aflH0kYMS/EVDNo64A7ohZX3YAhqlr+afmn5Z+WfwZzTEhCMWeU5FIAPTtMqhswRNXjNf/4ijVzQTwl0UQ58oauzFnFMobGPq7fJWbsryHdNqIc+da+emDAJc3/5hTft/jrz4a3/jfm18huh4py5Fv+afkHHhgICSrNhH3LPy3/2H15ThoSN4iLwdUA3YCKcuRzVQOqFn/mFN+3/tf6X+t/JfcI1/JPy79t/Kn7hErdATXKkc9FB1Rt/DWn+P4JOv7qxFqcFbTAkMDJo5F6yN2kEcVxqmhrTQ67QgQoTyGDnVnyfPlVoLWvzoK/mv81gDTIdKfPsaKro81sih1+0s0hBVyLP3NTZ9/6X8s//FWy5V/JJ7K1/Ktu0PRqObbjmZxtzabYln9L3JhDilvEN238iV5xvo0/bfxp40+8q5Wu0cYfTRA6vNgYI3vZoqemVGOO4QwV9loQu5Z/g1MK2/Jvy78t/8asIn3j/5d/bcWa5iNLSs6GuksXHM9JOdn0cCrB9HHfM3ujOU32ALH0MF8VqYQ+vmcWxRTdWZruAfp1dDVVkUroInuPrqZo7ctFaP4XL8wgfvoR1YmpGZTvmUXR4q/FX+t/Lf8wFUiS4b2G8DPYqpxSCf2CPXPLPy3/tvEHHaXd/3gqkLTR8k8/eY7RVDm1EvoFemZ3eos/d4W4p5BGAABAAElEQVS4rcVfP3jGaKqYqoR+gZ7Znd7iz10hbmvx1w+eMZoqpiqhX6Bndqf/5+JvCj6xJov1wqatZDkcQlZHq4BMHmNkrTCPcONU/jYQaxn6BCBtrF0ojnBME6YeY2ztmwfgnub/Fn+t/zHT5XyBpBKjwjuLj2iCk63ln5Z/qzDQqJCdRVKOJ4aVWzMDfcu/safRUa3/Ra9YtNA3IgkvW8s/Lf9UYaBRITuLlhwzMXQcYaCWf2JPo6Na/olesZChb0QSXraWf1r+qcJAo0J2Fi05ZmLoOMJALf/EnkZHtfwTvWIhQ9+IJLxsj7/8gxVr03H0YaYO59Dd4ql2bQ9HrsoHX1lZs+q+Apaax6gLYAZcVV4E2fw8zar7Cmgw2Y9RF8AMuKq8CLK19s0PMTVXjspmkDHqApgBV5Vv/jdvtfjLUWPRofsqUEpQjVEXwAy4qrwIsjX/mx9a/9dg0BipAiW7B2SMugBmwFXlRZCtxZ/5ocWfBoPGSBUo2T0gY9QFMAOuKi+CbC3+zA8t/jQYNEaqQMnuARmjLoAZcFV5EWRr8Wd+aPGnwaAxUgVKdg/IGHUBzICryosgW4s/80OLPw0GjZEqULJ7QMaoC2AGXFVeBNla/JkfHqH4K3+8oPJ+bpOEH7sEZuhbdIQN0VLt0OxsKFGAQZnZ1j46AnpC83+LP4SB58R+T+lpSrdq/a//60hwV3FUUGa25Z+Wf1r+beNPG3/b+NvG33b/0b9DGKsptxXt/qvdf5V3RnoBUwKlZ/I/NtHGnzb+tPHncTH+DLwKmvu1PkwKP/wYP1Ee0ElApofB4rn0RImitZ9dP+jAiWexxb3cBos3/6tzW/yNH6ha/2v9T3PHYAJp+Qf5ddgzMLT8y9FnjJPa+NPGH/SeNv628RdhMJhH2/1Hdsygd9r428bf4X4jI2+7/2j3H/TAYPpo91+P9P2Xvwqq1yH7m9dEaK0qF0R7dW0MxcxAM6kDKkUQAktsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFMz0EzaMWcxWANLbK3KEpWkBDs1A82kHXMWgzWwxNaqLFFJSrBTM9BM2jFnMVgDS2ytyhKVpAQ7NQPNpB1zFoM1sMTWqixRSUqwUzPQTNoxZzFYA0tsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFMz0EzaMWcxWANLbK3KEpWkBDs1A82kHXMWgzWwxNaqLFFJSrBTM9BM2jFnMVgDS2ytyhKVpAQ7NQPNpB1zFoM1sMTWqixRSUqwUzPQTNoxZzFYA0tsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFMz0EzaMWcxWANLbK3KEpWkBDs1A82kHXMWgzWwxNaqLFFJSrBTM9BM2jFnMVgDS2ytyhKVpAQ7NQPNpB1zFoM1sMTWqixRSUqwUzPQTNoxZzFYA0tsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFMz0EzaMWcxWANLbK3KEpWkBDs1A82kHXMWgzWwxNaqLFFJSrBTM9BM2jFnMVgDS2ytyhKVpAQ7NQPNpB1zFoM1sMTWqixRSUqwUzPQTNoxZzFYA0tsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFMz0EzaMWcxWANLbK3KEpWkBDs1A82kHXMWgzWwxNaqLFFJSrBTM9BM2jFnMVgDS2ytyhKVpAQ7NQPNpB1zFoM1sMTWqixRSUqwUzPQTNoxZzFYA0tsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFMz0EzaMWcxWANLbK3KEpWkBDs1A82kHXMWgzWwxNaqLFFJSrBTM9BM2jFnMVgDS2ytyhKVpAQ7NQPNpB1zFoM1sMTWqixRSUqwUzPQTNoxZzFYA0tsrcoSlaQEOzUDzaQdcxaDNbDE1qosUUlKsFOszfU/XkAQqYP6jEHGA/uWrqbIzpEh7TfrGoOMB/YtXU2RnSND6q31GYOMB/YtXU2RnSND2m/WNQYZD+xbupoiO0eG1FvrMwYZD+xbupoiO0eGtN+sawwyHti3dDVFdo4MqbfWZwwyHti3dDVFdo4Mab9Z1xhkPLBv6WqK7BwZUm+tzxhkPLBv6WqK7BwZ0n6zrjHIeGDf0tUU2TkypN5anzHIeGDf0tUU2TkypP1mXWOQ8cC+paspsnNkSL21PmOQ8cC+paspsnNkSPvNusYg44F9S1dTZOfIkHprfcYg44F9S1dTZOfIkPabdY1BxgP7lq6myM6RIfXW+oxBxgP7lq6myM6RIe036xqDjAf2LV1NkZ0jQ+qt9RmDjAf2LV1NkZ0jQ9pv1jUGGQ/sW7qaIjtHhtRb6zMGGQ/sW7qaIjtHhrTfrGsMMh7Yt3Q1RXaODKm31mcMMh7Yt3Q1RXaODGm/WdcYZDywb+lqiuwcGVJvrc8YZDywb+lqiuwcGdJ+s64xyHhg39LVFNk5MqTeWp8xyHhg39LVFNk5MqT9Zl1jkPHAvqWrKbJzZEi9tT5jkPHAvqWrKbJzZEj7zbrGIOOBfUtXU2TnyJB6a33GIOOBfUtXU2TnyJD2m3WNQcYD+5aupsjOkSH11vqMQcYD+5aupsjOkSHtN+sag4wH9i1dTZGdI0PqrfUZg4wH9i1dTZGdI0Pab9Y1BhkP7Fu6miI7R4bUW+szBhkP7Fu6miI7R4a036xrDDIe2Ld0NUV2jgypt9ZnDDIeqBb8UVChYWMBqmUtIXh+XI1m04blqDSQhioD61ZlXBpAiE221n7zP2KhxZ93BXa6uvdQIrXe0927VRmXAow6obK1/tf6H2Kh9T/vCq3/WWZgpqilWmu2snerMi4VgK+RF5tsLf+0/INYaPnHu0LLP5YZ6uxBidQw3b1blXEpwKgTKlvLPy3/IBZa/vGu0PKPZQZmilqqtWYre7cq41IBtPsf+CLnXPXK4zP/TsEfBcW6taELHK412GEEtaSdMlK1fPQZpasPVwLOPGUVD5ePtQ0jqCWNJdBGa7/5v8Vf638t/7T8i8FaRiLdMFy08cduX9r4i4ho9z/iBOsbY/Zj7rByuTHWdv/V7r/a/Rf6SHv+ac9/7f7DR5h2/9XuPxEMGg966zB8/xBvRYYR1JLGEv/d+R/9q6DVYbngTH20AxKRuI+yP16ZqUMJcEXNVGYXnKnBAxKRrf3mf/3jfQgIvZ9jrDBAKHdoZXbBmQ66LxLZ4q/FX4s/GdBa/2v5J+RJJsigimxldsGZCB3kiWTckTqYAFfUTGV2wZkaPCARyXZJHUqAK2qmMrvgTA0ekIhku6QOJcAVNVOZXXCmBg9IRLJdUocS4IqaqcwuOFODByQi2S6pQwlwRc1UZhecqcEDEpFsl9ShBLiiZiqzC87U4AGJSLZL6lACXFEzldkFZ2rwgEQk2yV1KAGuqJnK7IIzNXhAIpLtkjqUAFfUTGV2wZkaPCARyXZJHUqAK2qmMrvgTA0ekIhku6QOJcAVNVOZXXCmBg9IRLJdUocS4IqaqcwuOFODByQi2S6pQwlwRc1UZhecqcEDEpFsl9ShBLiiZiqzC87U4AGJSLZL6lACXFEzldkFZ2rwgEQk2yV1KAGuqJnK7IIzNXhAIpLtkjqUAFfUTGV2wZkaPCARyXZJHUqAK2qmMrvgTA0ekIhku6QOJcAVNVOZXXCmBg9IRLJdUocS4IqaqcwuOFODByQi2S6pQwlwRc1UZhecqcEDEpFsV2n3VVADEWq1VDqWHmhgWFXqUg47Xy0wUKBqK9srXWu/89Q64MRKZd4TlXLYNf/DhZWPilDFWlZXuhZ/Lf6qWZMSO8OcRY/YlMOu9b/W/1r+mai3lD7j/cZ6DzoPbK3/DTtvUFt8qRx2Lf+0/NPyz2BnyVmm9JmWf/J9S8u/CAX0mjb+tPG33X8MJ89BbcmlT6T7D12xVvxRnMA8yrRKTEB4jqHDxs5WlMpYzRgaanfWGS0TJeY41UVDr/YJjQEdcM4609qHB6I3mv9tjFGfRMeEiDJ2QmNAB5yzziguSs3/zf8yxmtMxMAIEdXiTzwwoXOCtwLOWWcUF6XW/1r/a/2v5R/NCTExhIxi7ITGgA44Z51p+QceiN5o+bfl35Z/W/7VnBATQ8ioxk5oDOiAc9YZxUWp5Z+Wf8bln87EWmfgQiiN+2WLyBhoIUJ7rOEKWrkiOj6qIu8AZ8w6McbBeUAuaOWK6MCoirwDnDHrxBgHt/bhiinhtkj9NuC8qIp88SQ5s06MIbYfrVpuoHBURb7URM6sE2OIbe13vaXygPOiKvLFk+TMOjGG2Ob/rrdUHnBeVEW+eJKcWSfGENv83/WWygPOi6rIF0+SM+vEGGKb/7veUnnAeVEV+eJJcmadGENs83/XWyoPOC+qIl88Sc6sE2OIbf7vekvlAedFVeSLJ8mZdWIMsc3/XW+pPOC8qIp88SQ5s06MIbb5v+stlQecF1WRL54kZ9aJMcQ2/3e9pfKA86Iq8sWT5Mw6MYbY5v+ut1QecF5URb54kpxZJ8YQ+8Tzv0+sjXcQP7wZEM46Uzyo3Di9GGkjtaK1ZDpa7MOXAeGsM7EA+HF6gdFGakVryXS0tPblw5vBQ846Ex0GfpxeYLSRWtFaMh0tzf/N/y3+Qg9x1pnYYcCP0wuMNlIrWkumo6X1v9b/Wv8LPcRZZ2KHAT9OLzDaSK1oLZmOltb/Wv9r/S/0EGediR0G/Di9wGgjtaK1ZDpaWv9r/a/1v9BDnHUmdhjw4/QCo43UitaS6Whp/a/1v8db/8PE2nTEdFiX5hHuTIzyiq8RnIDLkMoIIX/Yg8snS0UVsPQ774AF2eXqkq19S0DN/+qBKjha/LX+hxwnr00iFGT5btmqQGn5x93hTHFVh6sRLf+2/Cs3gHmrggNCG/9b/mn5t40/SAVt/GWSFFolyiB29LFI5mtEG3/b+NvG33b/MZQckCna/dejev/lK9ZCRtcrU9J04Xq5vc7sbu6qKRuNey8ChijTlVYLF9HK10Xc3FVTNhr3XgQMUaYrrRYuopWvi7i5q6ZsNO69CBiiTFdaLVxEK18XcXNXTdlo3HsRMESZrrRauIhWvi7i5q6astG49yJgiDJdabVwEa18XcTNXTVlo3HvRcAQZbrSauEiWvm6iJu7aspG496LgCHKdKXVwkW08nURN3fVlI3GvRcBQ5TpSquFi2jl6yJu7qopG417LwKGKNOVVgsX0crXRdzcVVM2GvdeBAxRpiutFi6ila+LuLmrpmw07r0IGKJMV1otXEQrXxdxc1dN2WjcexEwRJmutFq4iFa+LuLmrpqy0bj3ImCIMl1ptXARrXxdxM1dNWWjce9FwBBlutJq4SJa+bqIm7tqykbj3ouAIcp0pdXCRbTydRE3d9WUjca9FwFDlOlKq4WLaOXrIm7uqikbjXsvAoYo05VWCxfRytdF3NxVUzYa914EDFGmK60WLqKVr4u4uaumbDTuvQgYokxXWi1cRCtfF3FzV03ZaNx7ETBEma60WriIVr4u4uaumrLRuPciYIgyXWm1cBGtfF3EzV01ZaNx70XAEGW60mrhIlr5uoibu2rKRuPei4AhynSl1cJFtPJ1ETd31ZSNxr0XAUOU6UqrhYto5esibu6qKRuNey8ChijTlVYLF9HK10Xc3FVTNhr3XgQMUaYrrRYuopWvi7i5q6ZsNO69CBiiTFdaLVxEK18XcXNXTdlo3HsRMESZrrRauIhWvi7i5q6astG49yJgiDJdabVwEa18XcTNXTVlo3HvRcAQZbrSauEiWvm6iJu7aspG496LgCHKdKXVwkW08nURN3fVlI3GvRcBQ5TpSquFi2jl6yJu7qopG417LwKGKNOVVgsX0crXRdzcVVM2GvdeBAxRpiutFi6ila+LuLmrpmw07r0IGKJMV1otXEQrXxdxc1dN2WjcexEwRJmutFq4iFa+LuLmrpqy0bj3ImCIMl1ptXARrXxdxM1dNWWjce9FwBBlutJq4SJa+bqIm1UtfxWUqziqKkIhY8M+2PSAVJafI1G3TxlLO1BM9Ceo8qG09u1XvOb/8JtTiCVjwz7YWvzBGeqP1v9a/mn5t40/eVBVIrkBeaEak6Pd+Db+tvHXPsLbxl9f8xHuMYwN+2Br9x9whvqj3X+0+w+MJ9VYI7HRxp/aJ2387Xqg3X+0+4//tfuPsGKtE+7VzYPYoiJPAUWVFw/TQ253JlcTZC/XYXqQqGjt6y1wdIm7r/nfHw/cP860+FNXBH943HSYHiQqWv9r/Q+PoDEkPHxa/mn5J09PeHw40/KvuiL4w/tNh+lBoqLl35Z/W/5t4w9yRjWRJTmkjb9t/G3jr3YLHzKdafcf6orgj85th4s9SFS0+48Z3n/YejVLyJKla/flvB2V6vmgUNZk2ctWcn3BkSM1ZNybJdqdd4b4oFDWZNnL1to3P+QsogI9RkpEocWH9J9jnSE6KJQ1WfaysXxrv/iJHKl5Ku7NEu3OO0N8UChrsuxla/43P7T4K3FCjpQeKtQs0e68M0QHhbImy162Fn/mhxZ/JU7IkdJDhZol2p13huigUNZk2cvW4s/80OKvxAk5UnqoULNEu/POEB0Uypose9la/JkfWvyVOCFHSg8VapZod94ZooNCWZNlL1uLP/NDi78SJ+RI6aFCzRLtzjtDdFAoa7LsZWvxZ35o8VfihBwpPVSoWaLdeWeIDgplTZa9bI+F+NMVa36YztgBxi+tusmZjCHp6gdlKjOtSYxDq5VrRCGxZGHYcKYOmEgmqG6Y2l7drX1EqYXpWB/xMjig+V89MOgPKjOtSQhy+hCA5v/anXRhdpGTrn5QpjLTmjT/0z10ast/rf+1/NPyDzzgqcEZJolMu/pBmcpMaxIaYZ0AtPhTZ9Bz5UI0/1cecAcxdkDLE1aOLYIyrUmLP7qHjm3jf8s/Lf9qb/Cu4Qw7SaZd/aBMZaY1afmH7qFrH8f5p7wKGk6C5yWU50oabeSLrXC0kaqlZw6K1r4ncfpMKD1EGm3ki61wtJGqpWcOiub/5v88iDJmhDJCSKONfLEVjjZStfTMQdHir8Vfiz92F6fsIaRuCEyxFS6YlVVLzxwUrf+1/tf6X7fbtPEPHpH5qZApxvpoIlTLP/Bjz4lB0fJvy78t/47NLaGnjMW0/DPeS2rpmYOi5Z//aP4pE2sxXIO/Vd2VHds39DUOLgxAI4wy+U3woifXraQrEzcw3I+Fehkwrf3m/xZ/rf9VP2mHBNFNIl3ZoX1DX+PgwgDU8l/L/238i0tKSvfoDetjO1Xf0NeEesm2/tfyTxv/2/jfxn9mxJp2k2hXdnTf0Nc4uDAAtfufdv/T7n/a/U9JCoHrJpGu7NC+oa9xcGEAeqTzTz2xpg3aL1R6FGNmMf0Iw1kYGxQCoqhUdqJCd8p6mtVgRpxwa9+7W/P/4CxyjBfeG1ksdSKKolLZtfhr/a/ln5Z/kQiQZJkeNDFYcmjjTxt/OaQgQBAhA6sIYrwQbLHUiSiKSmXXxp82/rTxp40/SARt/Gnjr4WBDAu2YYhoz7/aNbI/4JA2/jI6+lTvKzx0kFKCQtQUlcqu3X88WvcfNrHGC6Cut12tClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAN8cizrIg211KogBTbAJ8eyLtJQS60KUmADfHIs6yINtdSqIAU2wCfHsi7SUEutClJgA3xyLOsiDbXUqiAFNsAnx7Iu0lBLrQpSYAO8x9Yr1tw8UHpApXDVB6OzztQTp7mNYvVGAzNgHVC19uEB9UtwjrPONP/DTbIKsHik5jWOql1EZsOASi2qD0ZnnfF2i6a1H31Rub44tVaPK6D6YHTWmeZ/eLLFf93nSnTUYWbSgHVApVjVB6OzzrT4a/HX+h9ioPSImrc+F/cRmfUDKrWoPhiddcbbLZrWfvRF9LzxA9YBVfM/PKB+Cc5x1pkWf3BTu/+oc06JDutx9X7AOqDSMqoPRmedafHX4q/1P8RA6RE1X/c9kSIyWwdUalF9MGYWE2vTRyOsP+WKywDJNZZmoo08qYN7TEREnsAR3rho7Tf/WzwMR8j4gXkIz8jq1ziEbvHX+l/LPy3/9LMF8wizBqnoyZMS26cREXkiW/5p+afln5Z/LB8MZ4h2/zNuYmbIX8ysfY8OoVv+bfm35d+Wf/vZgnmEWYNU9ORJie3TiIg8kS3//C/mn7BiLV90JTEAol6CIdoYHA+femkw1fvkrFcBjirtucqZh99oQHppMK19u2Ez92TPKHEvNf9XcSmeir4xz/07ey8NpsVfiz95YLAtR4YSjxKYol6Q0WYl/529lwbT4q/FX4s/9p7Yz7yXlP7mKmdY8N+iXhpM63+t/7X+x+6Te4YS7yWt/3G8d5c4Q8f9W9RLg2n5p+Wfln/YfXLPUOK9pOWfln8QA+glHhLOMHAGaZhYq+294lDERBy/62vYUIKsUszI4sBKB5Z2CKjbjFIPAUVrvwwEzf/wRQ4qi5UQMWSVtvhr/a/ln5Z/JxxdolF5phA3QNHGnzb+sB+18beNv+3+w7Kj5cqQMckqbfdf7f6r3X9x3Ig9xu8tBhh2ITdB0e4/2v0H46jdfzy27z98Yq03/MUr5727MD18MYFjWiDNRoqkjpMSneGntV8ip/KtCT1/VRg6mLT5Xz1Ad5C2+INbLFX34qn1v9b/+ORY5RYTevFSYdjBSLORImnrf3BM638SHb14avmn5Z+Wf3Li7JNef6kgTLCk2UiRtOVfOKblX4mOXjy1/Nvyb8u/OXH2Sa+/VBAmWNJspEja8i8c87+Zf6fIJ9byuXlo+HWHBh9gw8ognjzd4FBnYhlVdhQdsUAGDFHV2m/+b/HX+p8kjJgXNIGEXc/WUXRELam6AUNUtfzT8k/LPy3/SMKIeSGknpJLorID7oilzIAhqlr+afmn5Z+WfyRhxLwQU82grQPuiFpcdQOGqGr5p+Wfln9a/hnMMSEJxZxRkksB9OwwqW7AEFWP1/zjK9bMBfGURBPlyBu6MmcVyxga+7h+lZixv4Z024hy5Fv76oEBlzT/m1N83+KvPxve+t+YXyO7HSrKkW/5p+UfeGAgJKg0E/Yt/7T8Y/flOWlI3CAuBlcDdAMqypHPVQ2oWvyZU3zf+l/rf63/ldwjXMs/Lf+28afuEyp1B9QoRz4XHVC18dec4vsn6PirE2txVtACQwInj0bqIXeTRhTHqaKtNTnsChGgPIUMdmbJ8+VXgda+Ogv+av7XANIg050+x4qujjazKXb4STeHFHAt/sxNnX3rfy3/8FfJln8ln8jW8q+6QdOr5diOZ3K2NZtiW/4tcWMOKW4R37TxJ3rF+Tb+tPGnjT/xrla6Rht/NEHo8GJjjOxli56aUo05hjNU2GtB7Fr+DU4pbMu/Lf+2/BuzivSN/1/+tRVrmo8sKTkb6i5dcDwn5WTTw6kE08d9z+yN5jTZA8TSw3xVpBL6+J5ZFFN0Z2m6B+jX0dVURSqhi+w9upqitS8XoflfvDCD+OlHVCemZlC+ZxZFi78Wf63/tfzDVCBJhvcaws9gq3JKJfQL9swt/7T828YfdJR2/+OpQNJGyz/95DlGU+XUSugX6Jnd6S3+3BXithZ//eAZo6liqhL6BXpmd3qLP3eFuK3FXz94xmiqmKqEfoGe2Z3+n4u/KfjEmizWC5u2kuVwCFkdrQIyeYyRtcI8wo1T+dswrGXoE4C0sXahOMIxTZh6jLG1bx6Ae5r/W/y1/sdMl/MFkkqMCu8sPqIJTraWf1r+rcJAo0J2Fkk5nhhWbs0M9C3/xp5GR7X+F71i0ULfiCS8bC3/tPxThYFGhewsWnLMxNBxhIFa/ok9jY5q+Sd6xUKGvhFJeNla/mn5pwoDjQrZWbTkmImh4wgDtfwTexod1fJP9IqFDH0jkvCyPf7yD1asTcfRh5k6nEN3i6fatT0cuSoffGVlzar7ClhqHqMugBlwVXkRZPPzNKvuK6DBZD9GXQAz4KryIsjW2jc/xNRcOSqbQcaoC2AGXFW++d+81eIvR41Fh+6rQClBNUZdADPgqvIiyNb8b35o/V+DQWOkCpTsHpAx6gKYAVeVF0G2Fn/mhxZ/GgwaI1WgZPeAjFEXwAy4qrwIsrX4Mz+0+NNg0BipAiW7B2SMugBmwFXlRZCtxZ/5ocWfBoPGSBUo2T0gY9QFMAOuKi+CbC3+zA8t/jQYNEaqQMnuARmjLoAZcFV5EWRr8Wd+eITir/zxgsr7uU0SfuwSmKFv0RE2REu1Q7OzoUQBBmVmW/voCOgJzf8t/hAGnhP7PaWnKd2q9b/+ryPBXcVRQZnZln9a/mn5t40/bfxt428bf9v9R/8OYaym3Fa0+692/1XeGekFTAmUnsn/2EQbf9r408afx8X4M/AqaO7X+jAp/PBj/ER5QCcBmR4Gi+fSEyWK1n52/aADJ57FFvdyGyze/K/ObfE3fqBq/a/1P80dgwmk5R/k12HPwNDyL0efMU5q408bf9B72vjbxl+EwWAebfcf2TGD3mnjbxt/h/uNjLzt/qPdf9ADg+mj3X890vdf/iqoXofsb14TobWqXBDt1bUxFDMDzaQOqBRBCCyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU7NQDNpx5zFYA0ssbUqS1SSEuzUDDSTdsxZDNbAElurskQlKcFOzUAzacecxWANLLG1KktUkhLs1Aw0k3bMWQzWwBJbq7JEJSnBTs1AM2nHnMVgDSyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU7NQDNpx5zFYA0ssbUqS1SSEuzUDDSTdsxZDNbAElurskQlKcFOzUAzacecxWANLLG1KktUkhLs1Aw0k3bMWQzWwBJbq7JEJSnBTs1AM2nHnMVgDSyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU7NQDNpx5zFYA0ssbUqS1SSEuzUDDSTdsxZDNbAElurskQlKcFOzUAzacecxWANLLG1KktUkhLs1Aw0k3bMWQzWwBJbq7JEJSnBTs1AM2nHnMVgDSyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU7NQDNpx5zFYA0ssbUqS1SSEuzUDDSTdsxZDNbAElurskQlKcFOzUAzacecxWANLLG1KktUkhLs1Aw0k3bMWQzWwBJbq7JEJSnBTs1AM2nHnMVgDSyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU7NQDNpx5zFYA0ssbUqS1SSEuzUDDSTdsxZDNbAElurskQlKcFOzUAzacecxWANLLG1KktUkhLs1Aw0k3bMWQzWwBJbq7JEJSnBTs1AM2nHnMVgDSyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU7NQDNpx5zFYA0ssbUqS1SSEuzUDDSTdsxZDNbAElurskQlKcFOzUAzacecxWANLLG1KktUkhLs1Aw0k3bMWQzWwBJbq7JEJSnBTs1AM2nHnMVgDSyxtSpLVJIS7NQMNJN2zFkM1sASW6uyRCUpwU6xNtf/eAFBpA7qMwYZD+xbupoiO0eGtN+sawwyHti3dDVFdo4MqbfWZwwyHti3dDVFdo4Mab9Z1xhkPLBv6WqK7BwZUm+tzxhkPLBv6WqK7BwZ0n6zrjHIeGDf0tUU2TkypN5anzHIeGDf0tUU2TkypP1mXWOQ8cC+paspsnNkSL21PmOQ8cC+paspsnNkSPvNusYg44F9S1dTZOfIkHprfcYg44F9S1dTZOfIkPabdY1BxgP7lq6myM6RIfXW+oxBxgP7lq6myM6RIe036xqDjAf2LV1NkZ0jQ+qt9RmDjAf2LV1NkZ0jQ9pv1jUGGQ/sW7qaIjtHhtRb6zMGGQ/sW7qaIjtHhrTfrGsMMh7Yt3Q1RXaODKm31mcMMh7Yt3Q1RXaODGm/WdcYZDywb+lqiuwcGVJvrc8YZDywb+lqiuwcGdJ+s64xyHhg39LVFNk5MqTeWp8xyHhg39LVFNk5MqT9Zl1jkPHAvqWrKbJzZEi9tT5jkPHAvqWrKbJzZEj7zbrGIOOBfUtXU2TnyJB6a33GIOOBfUtXU2TnyJD2m3WNQcYD+5aupsjOkSH11vqMQcYD+5aupsjOkSHtN+sag4wH9i1dTZGdI0PqrfUZg4wH9i1dTZGdI0Pab9Y1BhkP7Fu6miI7R4bUW+szBhkP7Fu6miI7R4a036xrDDIe2Ld0NUV2jgypt9ZnDDIe2Ld0NUV2jgxpv1nXGGQ8sG/paorsHBlSb63PGGQ8sG/paorsHBnSfrOuMch4YN/S1RTZOTKk3lqfMch4oFrwR0GFho0FqJa1hOD5cTWaTRuWo9JAGqoMrFuVcWkAITbZWvvN/4iFFn/eFdjp6t5DidR6T3fvVmVcCjDqhMrW+t9/o//dccft6Z577qn8P/c8c6eZpsxklwQWXim5SkWqtWYre7cq41IBeK1ik+3Rvf4P3H9fuu32O9Lcc89lzT/K7dd+fPTPv7XPmPzvxF/zf/O/5zzNQI9u/vv/xJ/kzSc/aab07Gc/J+fOPuHVtTTvUgCO0v33P5Buv/025OC5oX/8nL8fqx5zOKXA+hkr49IAQmyytfPXmGz33x4KDK86eiiRWvR0925VxqUAo06obC3+WvwhFlr/867weOh/U/BHQbFujZ3ZuvLQfhhBLWldUubspshHnzGKVx+uBJxxMn6A79QFUWqqN7ZL2rG29pv/W/yhU7T+93jLP1tuuWU655xz9dpJVpMM971jjkkLLbSQiHlj3iOl3ujjLf+ee+656VPbfAoTivelVVZeKe2yyy5+QmPOEPZ84zk0OvwH8v+pp56adtttN/X/aquumuS6lI1HRVoswj3e/F8ffS2NOUOA/rP+f99670u33HIrah2lb3zjG2mOOebQA3m02q/PukiPdPsnnHBSOuCA/dWda79nnbTBBuuXxsE90u0P3V3FA2jtD3mIXiGNHvvP9//13ve+9Ne//lUb+cY3vom+8Tzw1v8OP/yItP/+B2i/+dSnPpXe9e53Tyr/nHsecvAnt0n33ntPWnnlVZCDd9b2xpyhtz/onf9A/tXGsWvtD3r4MeH/t771Lemhh/6VnvyUp+Ae5btp1lmfoZdNxr8TTzwxHYi8Nh334eu8Z23ktQ30Yj4Wn/9OOOGEdMCBB6Df4FjXfo8daw7Ax2L8XXbZpWmLLeR+ZJQWW+zFae+9985Ha6Tdf7T5hzb/YuPjo/38p38VtEoaLjhTddYhgUjkUfvjlZk6lgBX1ExldsGZGjwgEdnab/6XeTTGgYcKA8QVNVOZXXCmBg9IRLJdUocS4IqaqcwuOFODByQi2S6pQwlwRc1UZhecqcEDEpFsl9ShBLiiZiqzC87U4AGJSLZL6lACXFEzldkFZ2rwgEQk2yV1KAGuqJnKnIUtt9wiT6zZDbWoj/ne99JCU6fWhSGxPNsldSABrqiZyuyCMzV4QCKS7ZI6lABX1AzNm2++eTrv3PPyH0AepWOOwflWE4l1OUosz3ZJaXcHuaJmWF61Lhhz/PHHp1123lmrWHW1VdP2221fF4bEImyX1IEEuKJmKrMLztTgAYlItkvqUAJcUTOV2QVnavCARCTbJXUoAa6omWheYfkV0n333QufykPZSWneeeetwQMSy7NdUocS4IqaqcwuOFODByQi2S6pQwlwRc2I+etHH20PRhDe+95108c+/jFo5aZwxhurZ7ukXpIAV9RMZXbBmRo8IBHJdkkdSoAraqYyu+BMDR6QiGS7pA4lwBU1U5ldcKYGD0hEsl1ShxLgipqpzC444+AVVlwh3XvPvSqfcMKJab75rG/c98D9afnXvFYnBPBxlzTLzLOmM39xRpoyE1Y3y9avyvR5H82bb7Z5+vWvz9P+J/F3TO/HnKqoCizP8yZ1JAGuqJnK7IIzNXhAIpLtkjqUAFfUTGV2wZkaPCARyXZJHUqAK2qmMrvgTA0ekIhku6QOJcAVNVOZXXCmBg9I016+rK7NkAmpn/7s1PScZ8+mY7hAj0Ze22evfbCQYpTeuw7y2tYf79VQteSCMz18V0Ekz5vUcQS4omZoPvooy8HyDLHOuuukj3986xo4RmJ5tkvqcAJcUTOV2QVnanCQLrn44vTB9TdQ3y48daH03e8e056/2/Nfe/5F15E+7NsMulJldsEZr2YcQyT7vVLMaoveNwMRaupKx9JeYkZMqUs57PzXioGiVVvZXula+52oGXBipTLviUo57Jr/5ZZxeKtiLUMqXYu//0r8XXvN1en7J38fg8YozfmCF6T3vOc9wxewp7WrJ2rlsHs8xP+WW30knX32ORggMMUgB5ymp2Mx0TRVJtaqUaN3wh3F4+f8v/DFL+hkiqxWkh76k1NPS8+dfbYs5fN4lPvf8Sccn770JVk5Nz2tvupqabvttvuf9b8Ejnm5xExP9wj7f/kVMLGG1TJy/U/AxNp8885TH9Mj3P6/c/4PPvhAOuiggzUnTZlpStr4Qx9OT33a08RlYSu+VA67ofwjD6B774MHUJzfezsPddUxPYbOP5zkBOzDO39WUJ1rVla6J/D5r7jCivZ5AOT/E7ASaL486Tx9+vS05jvWTDfdcAP6ypT0ohe+MH3r29+uvHfNNdekk04+WSdA5njBHGltrB4a2nb6whfSySedCJNk4SnptNN+kmabbXaVRIcAbfnvf3T8lXio+loOkEo3cP2XXXZZDQ2s0kin/fRn6TnPKa8iH330UfjBYB+taZ11101bf+zjg/kvNzWp9ll2mI7Sr351VvrNb36jdU9bepn0muVfK5Hc247++tFpr7321lhfd933YmLNJgFndP69iiqFlRaVctgN5X8WqdrKykoX/H/JJZhY++D6ilpo4YXSMZhY629WWvTKYfefar/f1pCmta+do/n/CRV/umKtdIfSCcwLYgm6jsQ+rogaVqpUbkJjwAacs870amrt2z2Oeqh2U/CpsBMaAzbgnHVGcVFq/m/+l3tMjYkYGCGijJ3QGNAB56wxvzjjF2nrT2ytbS2MVUzyS/r/cvxtiSX+55x7DnyTHQFyzLE2scabwv+18//LTTem/fA603XXXacPfm9921vL+eco8bAQC4RHOv6OP/64tPPOu+hlkBVr222/vd+UPxrt+/X/L53/o93+Cpg8uPderMrBtT0RD/jzYmKNN6bigkf7+tct1tIdd9yJ1+VWwjFNwYTFKP3056fpao18qQKJRx3UgdWVHXvvpXWtiwfQj+MB1AKtLhulFn+PfP+vr3gtPdr+X2FFm1iT/H8SJtbmnmdez3+/vfA36aBDDkpPe+rT0oc+9KG0xBJLhOgapV/84kwdP+WrL1OnLozVz98NdrKjdNNNf8Erpfun665FDl5n7SSv+T1W+9+j7X/xUut/JRro/2nLvlzzX8ICydNO+2marZpY+zom1vbUGFoXK3E1r4kjB7fgXWed0RJRYvuqi4ZO3bvv/rX0rW9hohkdR1fN5QmzDgyrho9Ke+VJwHWxuu7jurqurjhKD7f9Omq6rUY51O6sMwqM0u9/f7F+MkDGn4WnTkWfHppYk2KxVGyvywecs84oOEr/7fNv7T+xxj8JwMdL/HUm1joHjhPhQ5z2qmpnpxhPtDJ3hC5a5YHCURX5TnUQzToxppTqolUeKBxVkS81kTPrxBhi+0er5QYKR1XkS03kzDoxhtjWftdbKg84L6oiXzxJzqwTY4ht/u96S+UB50VV5H/xC5tYk24vE2vfxbc8JDtFTPF2nzNcQStXRC8QVZF3gDNmnRjj4F620nIDhamSb3mdfQ5WrGkVsserkbhxWghL/m0zJPFZOZZ00SoPFI6qyPcrNuvEmFKqi1Z5oHBURb7URM6sE2OInXz/OwGvgurEGvy/Kr6xtj0m1mx7dNp/oo2/umINr4JKh4mrcsqVJPff9/+dd96V3rjSStZHcaG6D5U8UqHdo1XZlArTFWtYLSGrCeRVUHkADeZYVea7NQ5AgqqLVnmggaiKfKiqta8eMO9M7KPitS5a5YHCURV5qYmvgkpOOP7EE7Bibb4ZxEhp/wyMn5/ARAGmgNNUHT/x2li3AcCjKvKlJnJmnRhDLOstaOWK6MCoirwDnDHrxBgHz7D/ERnrizzthbb2ef/18rxiTSY6foaJtefMVq9Y2weTVdPhuLgSV7034OCoinzxOzmzTowx7B67756+8a1vIfJlNfB78Zp9zq2dwvIq6F77YMUaOphMrAlO+trw9vDbl/JdtMqd9gvOWhwwm0H3o3TxxZfgVdD19RjHr1iLdZUa/xPt8/qP91E5XGu5tc8ZleZ/eKKEgwdKVEXeAc6YdWKMgx+R/jdR/PvE2vgD5IfPA8JZZ8oZKDdOL0baSK1oLZmOFv1F2MuFKqIuFhmrFxBbIrWCtRQre/yfv3zw9jnPmS099alPeUKef7yaT8Tr/79w/vLNmK0//okkv4outCBWrOmvc+N67Ti9eII2UvNOLUWP/Xf6v/3xAluxNsJJT8GtqX9zzA/WmXjA4Rw7ahVZhtQwtRTL/XfOvxzBf7d9WbH2pZ2/rP5fFa+C6sSaO8uZcrjKjdOLkTZSK1pLpqPliTT+raCvgso31rBiDatyZMXaY/X877zzDqxYWxkrJ+XRAivWfoqHSl2tMf5qjrv+R8m3iHS1hDz82UPdE/H62znH/X+3/8v1eqzE3wrLYzXn/Zh0nj4lnYTVnPPMy7/aGf0lfD/+dMVaXoGz8MIL43tM9sMUS/ZLFMtj5fz5UFpOb9xRj9NH39SYWuK5G76dv0zHBg85a8yyWLFmMZeQA+VV0GdBtumW8irolLSuvuLOb0d6JersWlJV3v3/+9/umFjTFWs4B/l22tb67bS6RZH4nUs5cnlt1V4F/f+3H8+m9M1++8MTVOPbv/ji3+sfWJDxR769W1as1XU/Uu2Xc6lbGK8XHI+N1MrWUqxv/PmXuiJe+PG1FVuNqaVYX2u/5b+J81+MFuPhsRH+LCiToCo9wpzpl8uaGsEAHDICmV/s5vLNUmldS+kTHX0p4FyNaO1bB6j9Lzfs++IVk9lme67+yjnrLLPqLzLuxOJwU7lTnSnQDlcjHj3/33777Um+GXLV1Ven6f/6V1pkkUXwb+H0zGc9Ow/nONDq4EbpXw9NT1dcdWUa4aczmWBcaKGpejby169kSbX8hZ2nP/3p6Z3veFd60pPlo7+lggfuvz/99qKL0l/+8pf0j7vvTgvMP7+2Ofc882h7f//732G7CSE+Jc3+nNnx17qe78Vvw7Hedutf9eFrjhfMiVeFnjPW//KgdsvNt6I7jtLznv9cfF9K/uqXbXKel19xhQpPwV9fko+6yxE++MAD+OXq4vTnP/8pzYFvj71okRelBRdcwNu30qN07TXXpauuuTpdf90N+rD64hcvmuaaS27My3kq1kVnVH3TTTelyy+/PN0IKjcAc801V1oE33KZFz6wrX/9777n7nTjjTcCP0rPxgdt58T5S/9/AMf8xz9ekv70pz/jJuzZaf75F0gL4/rNMvMs4XCs/StwznLu5+AvRu4j3yBCY3PiLwXusccefuTylwNnw6+kQ/HPYxuXfx7Ah58PPvgQlEXNUrnmKbkBWzs9/3lzWPHO/qCDDtJzsCM049r4K1LPn2NOj7/p/5qOFWdnq8+uuvKKdOmll6c7/34XboAWTostumh64YsWScssswz8+AJUEG6pcqVbboU/XnC2/FXQssUPSV9//fXpePwVq1JylJZ82cvS61Z8nRUIB3fH7belr3/9m5iUxJVA/MsvstJf3vrW/quW4oPpAP36/PPST358qvYzuYZPfvKT0zy41gujr739bW9Liy++uLortj8Z/4cLrq8ASnxK/D/zWc9Ic8/F2MIxjYl/0UuMyE2mnPKCC0xNC+N7I7PPNntwKyxjxp/7779P+/8NN1yv7c8/3wK4Ni/06yJ/vGBn/PEC2eoVa/HIxWrxf+mfL8WrrNeiH9+SZn3GrPo9wCUXf2l65jOfrcczNP7dffc96Fc3aoWSH6SfiPD3v/8D/frPeg3k21vS517y0pem5z33udLgw/L/P//5z3QJfHPDDTelO+66U19VnGfuuRErSyTJI91aWOk1116dHrj/QW3nhbjmMz3pScpfj+84Xfz736c777wzzYc8uOACC+Aj6vNpPQ/n+l91FfI28vBf/nJjejYmoaYuuGBadNHFkJOfqvXLHy+4V1asIQZOxF/KnOiPF9yFvPuHSy5JN998M749dbfmvwVw/RZbbNHOaZXr/xDGgSvRHwXwFBkHpk4FPyX9azri6HLEEcYCiGmBBefHythF0uyzI446m+TCf/zjH+nOu+5Km2+2WbaO8Brz/vlV0FF6Bv4y3jz6GquYS/tD118atAfQvQHFA6isWJvBHy+QXHwtXpn+6y23pCfh2siYsyBWs06FP3WTzoDzsG18+7fccjNy02X4S6w3p/sxzs05x1xprrlfkF66+EuQLuyas5ZI5ce62++4Q5uQuHzWs56Js5yS/oJXCa+44nJ9lXCWWWeBD+ZNSy25RHra02bW4xl3/l63H7czbiLzL/T5S3Ddb0Beuu1vf0svwLi36KIvSvMiHp80RcZubFXx4fO/XI8TffWWv8KHM8GHc8J/U+HHBbsVQC6b3HvIGCZNSN8Q/0uD1jcuQd+4I80/3/yIodI3xuWfeKBX437myiuuSn+5+Sb0jWfhWBbCeS1a+gYmne/Ba9JyWWXSWXwrvGx/+9ut6W+415iC+Jlzzjn0PkOMNn4+hD+Ec17aZ799Nf+LfY89drf4wAWR855tttm0nnvxF5mvv+E62JCDn/GsNDdyxbhNzv8KxKG8ui/xIzlizjlekKZOXRB5YcEJ4099iG8Uyg3BIou8MPswpRuuvyH9HvnqzrvEhwukBTy/oLHOVl1i+P/h5J//RPzxMK7DGHyfvLaObYEF5k9Pe/rMfj00OHhxINx0I+4dkaNk/BXszDM/PVczwl96vTXdgZiRMnO9YO70rGc/E7ZRklfN5d5OfCU5e374Qu77LN5i5EhVI9R/D76zd5PyZRxJ6CO3pt/+9nfpRtyjzjvPfOmNb3y9FMibeVHyn+T1m268Of3ttlvTM545a5rj+XOmF7/4xem5ebxhCVL6X7+xhvbF/z/TiTWMddnI5w+Z/Fn3fVgt9tGPjb3/vRv31pKDL7v8Mr0Hl/w7depU3DuivoGN7Zupvv4PPvBguhr3u7IdecThWE38M73/eeMbVtLXJ/UAcX3kXv7puG6yaQ7eC9+Dg37d9+KPF3xsa9XfC79e8oc/4BnhsjQvxrqXvuQl6fnPfz5PUTFS37j4e+ifD+Ie4xL1/+233YExZTb0qxfo/dpTcF8VOor7LTC5/j75PWJjA6xYk02eZ76Lb/Di0G2rnAMB/r8FzyF//tOlOmbc/8C9em8yF3LnS1+6eJqp94dOqgpYq1K5TpJ/b8bYcxfuA2SMlJyyBO4/Z35ajuuquLV/N561brgezwM4SJl8nXNOufflfc6fNM6lf8w191w6/sTnn+oAslA1MYH/1Zc4f3HOf7L/t/Zj5I6P/yei/33Fmp586ZYhTDsOixFeR5ZbumrKRuPei4AhynSl1cJFtPJ1ETd31ZSNxr0XAUOU6UqrhYto5esibu6qKRuNey8ChijTlVYLF9HK10XcHNUykJ35q19izcsoHYGlzou/9CXAVb8/5XKxlBwNh4nCeQNk6iLUds6knJnB496LgKkrK60W7qqrrko77LhD+uMf/qgFce+n96vWvUc6SO7y5S/jwfhFIZKt5ptuuD6ttsaa6oeZMbn489PPSNt9/nPp1FNPzQdh7f/qV7/SCTa2KoPtIYcdlu7DDafWJCOXQLHJx8w3x19vPAPf/9p55y9pm2/H62LxO0z777d/OgwDu/j/Qxtvkj78oY1Qctj/hx9+hH7fROpe7/3rpY/gA/bSmFyJG2+4Ma2xxup6qjIB9Qu82rHbV76avqsrt+ygeGhyDB//2MfwsPMsnQzcc6+90s9/ehrWPE3R45D65N+888yd9t13X38wNj9K62x1Srr22mvSPvvul86Av7rnL/5f4XUrpq1wnHKzyM08mdIPfvADXeEj8ptXWSV9Hq/Rfe4zn05n4HsvFl3ZkbDPMsvMaYcddkxveMMbtBr6f9llp+Ea4xcDGRhRCoetREC8/hvDrx9Sv4rWzALjxuMxGvfAYqR9GyaK/vrXWwAvpT6/3efT6qvB32jTjtVqu+7669I71nyHCmxfyp1xxunpGc+wPzMvmC998UvpwgsvVJy0KNe/6/9Zcc5fRry++tWvBoJHqUXSFoirc/EwJB/N5/kfg9df+Vcyzz777PSRLbeq4v9da62Vttl2205NKV2KG8L34Zfa2P7y+JbVHvj2SNmsfbmJl19qr8XkkERLbF+PMft/2rRpaZcv7Zxmf55N8pR6umdS5Oj5+myldP4O0NZ2M7vcq5ZL++6zr+rF/934P/PMM9Mh+HD8QYccDIwdVD401DRKm226WXr/+9+vk0dsK7b/L/ye9J1vfwsfnz/IvunV8dpqq6+GOjZPZ555RvrSLrto/K266tvDq6B6aB4ycj0OwMTKnzARVkeMnf8673l32gR/ce8ZmGyQQjwmCLmfbKf6VdBPdtxxJ3x8/JtYwSTnX66/1oSTfNda70pbbLFFkh9J9NSlkrBJ3SN80Px7+CuyhyF3yeR+N/5mm/25aaMNN0jvfve7caNLzwm1beVVVk533H4nhOnIMd9LN+KG+Iv44xK333G7nRAsjP9VVnlT+gS+f8hJqHhuUpvI1yGudsPKgXPPPguy5R/zQsKD/Rw6kbTSSisnWbEm31gTH5504smYWJtb8eXIUpIb+4MPPjh9+5vfquKfZ7HoYovphJf1K2ufNhkHVsc4IMcg/U/iSOo6+OCD5IzkcHWzazhT2nTTjdN6H/hAeuqTZRLSNq4m5flbOanR2pKyyyy9TDrkkEO0AP1hNO5zhSA2sYaHOmzyjTX5q6DIepDqaPolxvKDDjxIJ1yH2pfJ9c023yxNW2aa1iW7ofavvOrqtD8mWmQcsY0ok+bG2LD+BzdIa665uvqqeMbsO+64Yzrl5O+r/z/zmc+m12EcOPCAA3Syvz7ilGaeZZa02SYbp/fg9SrM7WOr499qrNsvdRROPtJ/7HHH4kH5SOTrv3r8Rf+vtvrq6ROf/GSaGT+ScWPNRkfpl7/8VToQueNS/BhVNqJSelnlw9I+sdJH5cc98b+MvzdgbJa+cQd0Ukss8Sb0jY+jbzwXD59sv3v+knPlO1Dyx2q4WR0y2fc8/CXFrdPKb1zJ+kZ+TVpXc+IbaxoiKCSrcr6N192kjS232jJ94P0f0Kpk0kN03f4v0cr+t/HGG+fxc4rGoR7RngAAQABJREFUw9ZoT9p/9ategx+z7Lt/3ev/y1/+Mh2MOPzTpX9G7WKt43+ply2V5K88y49Hdt6MQ5NWhl/kBx/Z5Acj+WHjixgzxa+y8fwl/6z8pjelT279SZ2QUCN3rJhypl01ZaNxHwsSZbpyDQsX0cJ/YL33pz/8Se5Fp2AcOTDJmChbXZPJm2+6aTrv/PP1Ouyx517pNa8tH9CXvvT975+s9XzmM59Jr3jFK7T/X33VNdDV+X+xFy+G+9bt0otwj9tt6Ie435J7TzliiTu5jvKt1ksxUcXrv/TLlkyHHna4F5U+9W38oYujjjoSvr8D7dlmZ23jv/h/y823xGTQXDQTpJeeK9YkCk7Dql35wYTxIq+477X33tr+2ngNc+v8g0H0kfww8nnci//2txd5/bH9Vyy3XNphux3QF/CDddxiJUEvavmLmevnSSeRef5CJVIZ/zL+23UbIQfL9+Dw4wY2Wdn2oY0+nD75ya3TBfjDB937Txmzdt3ly5hMWlLxccfDEt/KGHwoxuA7Eevx/kvalz/MtOGGG+YxWGqg1xj/1q/sWGMLxl+CH4E+uMH6Wk4m1qQfycb2VcDuSjw3HYBcfzruu7vnLxj5wfSDH/wAcr3d14rOvFS3LwsIDkSc848kdMefWZHn13rXu9JGH/rQYP49BfG54/bbqe+l/++EZzmJPfN5fdTS/rvf9R7c52yWZsGPVMUzcnR5q4tQ2zt/wozGvRcBQ5Tphs4/opWvi7i5q6ZsNO69CBiiTNfaZ9QXT0RvKV+7zM1dNWWjce9FwBBlutJq4SJa+bqIm1WNB0t5ttRZ5KqKUMjYsA82PSCVEfqVXtqBIs8Ue6sDTGv/kfP/dp/fPv3wxz/CdRilY5HkF5w6tXcFHg/+P+Xkk9KOO33BQkxiaiaJLTmVTOXhUGSQ/fEB9Fe8Ii9Pz/F3A1ZarLHGGnrus2AAkL8qecQRR6hs5y+D7fR01q/O0ok1qeub3/xG2mNPWRkVJ6TQRGh//vnnS2usvob+RTcpIx84j99h2m/f/TGheaT6fxPcwMqg093o/8MOPwwP5wdoX1zvfe9PW31kKzs+7MsDYUqzzjwrJuk2SnvhBm3o/MUJr371qzBRtT0+Ar9Oul1/DRXn9Dd5GD4CDyrz4EGq2/8vuui3egz33HtfGJDr85f2ZaJv3/32S0sugZsM+J/bD35wStoeN0TyNLXSG9+oanldqrtF/38WD2nveAcGeDlc1KUTaxP4X4AbfxgPBh/+sJcp9aOSh5F/Djzw4HToobJqTW598B/aXemNK6ddvryLVmWHYvvjsIJpF/krkSH+VsJDz5d33VXbv+h3F6WNNpJrjJ/eZNNYQYVykmO2T3zik0lWvEX/yw3xufjjBaJj/B1zzLFpQdxAyQ3N2eeenbbCxJo2qoc2Ja31zrXStp/eNrQCA9q/DCsz1l1nnaDHhCgmMORhTDbG3+9+/7u04QYb2liAiSeZcInty3FoUzn+ZVXYkUcegZVlc+NayTmiMpCyWfu1rljJsf0zfnEGvgP0Ca1quVe+ChO6NtEg1Xbjf4utNk9f2fUrsEgbIFX7chDTkzwA7yzXqjqmlGTFyxe/+EU8zHwfOJ6/9X9ef1nILaslVl1tNRzHvhr/b5e/CooHF/F/qXOUvvud76av7rZbOH9r3yoHL7MJOEn5a33ylx+f97yyElUwp5zyQ+2rEn+rrLwKJpln0Y+TT+T/xV6yqE48yorP7vk/+OA/00477Zh+rHm/tK/H09nJqsXPY4x4ylOehGrkCsuxJxwHJtawIkl0n/3c59POmDjoXn8osJn/55hzznT8ccenp/tKDNqmpD9iAkNyn/5RAlF3Nrv+U9JnPvvptOcee6b7MHkg/j/ppJN0VY652/a3YELlo1t9NF1+5WV23rn9oeu/zTbbYBLy3eFaYUVMZxyQCcpdEUfm69L/pX36Xx4CdsEPJ1KRHMVWW2yVzjnv7AnbX3rpl9nE2sPIP3L+X//61/EAuqf6v/7jBfnyouXDDj087X8gxofc//Rgxpz/pz+9TXrnO9+Jwriedknd62fJpPxWNraIkv6P+Y/n/3ZMJn/ms59PT3myPGSz/6e04xcwGYCJNTk6yUPy0HTVlVfltqTBfv5bHZNeMnHAFTcA6WbtS00l/uS0eNzCPoiVpdvjhxd5cJ/R+S+22IvTbrt9RVeydc//0EMPTQceeKA1nPfjzl+O9R3woR1K2b9p5TdhTMWkEFSf+9xn0xe/8EUcK87ZIPnAy/nLSvXjjzvO7iuqlhNWbv8xyQ9D9913H4oPx5945fOf/UzafY+9sGLtHj3/E08+AT+MYWJNGsX/u2MF97cw0Sw+kx+63o8f5sSw7DTcB+X802naxQ9/GD/4fXgjoEfpTDx8yyS5XH+ZmNa/VAtkvvLSVDrskMPSgQcfYOcrGlGOOf9Pb/uZ9M61EIedjZOTov7sZz+Hv7z8JVQz/vxfgEmV448/MT316U/r5d9++2xMjg0OkXCcYHs48RfPn/lffrj54x//oOd/ECbndTK7aqu0vykm1s7HxJpse+y5Z1oeE2vc5AfFU045Rc9/E8SC3DfJyj3mH7n+ZUIEp4Nz+s4x306LLLwIqij+/8Ep+CET93xywq9//Yq6qvi3v8FkVbj+MmksP7bIJjH3uc99Tn8Ynij/SfvPwI8Q++JedvEll+j5f9lpy/r1/+nP+Dq8tIDJqqMwWSXjOJyseQ0/2sVNfPJxvJo5o/iX9mVCcmlM1NL/Vk85f4sD08pKv/XX/yDaxQUJ5x/bFl4m1pbBjxASvkfhR3R5HV94+fH02muvTRdceAGq7ftf7v/kvvcQ/LC36IsW9fMHVLcHH3zQxuAf/WTC9gX8lre8VZ8Z5E0Zjr/xXHCG0Ie9sbqa0c4RK9bwerdOeOX29SBQ5uyzzklbffQj6n/T9ffMf29f9W3pc+iL8nZCt/0br78OzwIf1VXSDyf/7rHH13RVX+x/nPiVI5BPKOh9DsZ4tj/U/xfF6nP5YX82uc+hF/L525lAUBknXunFKjboK59YqbifbP+3Olr7zf+IhGr8g2jTajHMMj8UpB6h+Raoh5Gy4fbI7c7k4A/yQNOq6kGiorUvyT4OMHLDJR/fvB8PJR9YfwO8CoWl/XDZnnvtmb6Bm3a58PoNGLxqJAV/9rOfq7zmmmtgEuqV/asQ3d25IF/96lfSyd8/xeYW5H6bG8rIACC3R6KWhGUhIww0csC431xyycUxEbM/Sw1TL5vwStTfsZLp9ajZhh1ZSv36N7wxLfGSl6ZZnjmrvu7wjW98I917j7wmYe2fi4eHpzzlqd6+/Kq8Bs5V2p+C45C6ZJNfa+QXqwUXXFCX9cvEl9z4/+IMfNMLEx4Wz5jMwsD+6te8Ni33ylfieO5Kvzrr7PTbCy5Mo875r4YHkc9vv4PVjnPYb//90hGHHy6Npo3xq/2HNsSkS7xwehS2E5y8TgQAfg1dL22ZJ9bEKr/oykoLO2o7fpnbefsaqyX5eOzf8ErMj374Iyylv8z9PxsmPmSFiawGe/Ob35KWWnqp9I+7/oFf7H+Rzj3v19Yo9jKRJQ8RcbsVD7DvxMoYeVXWLsUIv7Iuj1+xX4WJiYfSeb8+P52NX/55/jJInoKY4CtBcpx+o8eRC8pZnj5LWmmlN+BYltEB/PeYzDn22OPklNUtsrrhFNwgPuuZz1Tdj370oyS//CkOD+5Sr5zPp7bZ1uNPXpexm0w5g38//8jrMvIX0OSyyLlKw7NgguB0rESUV4RsMy98EqshTj/95xo/OrcG81e/+tX0+te9XmEfwWqBX2HlgZTy+A/n342/XHn64Q9/qCt3KG+JB/5zzpUVa3I+ckT44wVY6m8r1kbpLLTxUTzQ0v9STifWtt1Gj038lAvqa87y5+PVeTn+ZcUaJ9YEKvnj3bjeMnGhwJEA9Sy8ffY/Oyb0cRzYUtOW1pvTmfgKFtCOswMvByINqc4NovFNVs/Ir+zS/quWe6VOaNE4Lv5XwAOErMqQVzOuvupq5Lqj0906EYym0MzBuPFdZpmltU6tC7rv4S/i7fqVr7JqpStixc2rX/VqXQ115pm/TL/DpHL3/GVibQdMrPH8JV7OwgSnT1JAljyxAmLh5cgpN+N1UPnLrvKKjQ68uCivkglDrAKxuu0QdGUnHohi/Mk7Q/MvsCAekF6n1/w3v7kwnYn+Jqti2P7KOqH7ZavE9yO9ET36yCM9/mTSfMUVX6evuF6OV5LPPPMMvEZ3k5eQFVgfwKqsuMnE2u14FcnakisySotj4vw1eNiWV21vxutzxyIer7vhOi+26Sab4hf4DarrL691roEJFXltkPG3wALzpde9/g2ac2XyXj76L7ju+Z94kqxY4+vAyOt42Jdf+O21X4u/xfFKq0wAyPX/zYW/Qd4+vbr+h2O18JJ4GLTGkUfxwMpVWH7gYOT6ywOixtHV1+hfiLv3vvthsf53CFa0yQOYbOef/2v0k1vT3/HHC3bf0yanRS9/cOA5z36W5t85cTwvf/krcrMIDD15EGWDLAWxycqOfbBaQizSV2XFMYuI/adYcbzNtp/OKutjr0MfXu41r0oP4XXfc/CHTs7GmMTxT3ruQViVtcy0ZcCV9mzl52rQaIaQqtPSSy+Nse3V6XlYxXj+BRfog/a9eG2N8b/JJpvgx4INgWSZEVaO75R+gIm1mH+kmaWwguO1OK5nI3/LCqzTcT00EDH+SfFtP7UtVjXIRAvrkiMY2Mohq1FWdH0Tf9nPSo2wCm7WtBLuAV6x3Ct0fDjrrLPSqT85FXYb/+fDuH788Sfg9UTLYdKePPRL+3H8XxF/afNVGNPklelz4UOZdNRjy/lPVjLKqqvow1WwmvM2rO5h/pcDlL/CKfljEfSNv6BvHIcfMa/FX9bUA0Yi2hSrVaVv2KWwk5OJZvmxT1dpiXuglterX4++MRWT+r/93e/QN07Nr3+GvIpKTjjxpDRfXLGGVztlYk3OfwtMrH0Akz7S1o8wuT59+r/0dffj8L1IGX9mndXGTzlu2XT8XEQmaVJesfYJlJ2eXvVqWbG2t+p5/nIPuW0eY3j+7kNM6J+Lzx90x7+DZfIir+bi+csqV65O0wZw/kssbn15YUwY3XLzX9L3cF8gr9Wbt+DDTTfT/i/HomOMGfLxkQQ/ud2ZfBpBZrEu7UGiwtr4oKxY+/MftaSufNL8MNz+plj9fP4FuOeC//faaw+9l2KTumLtlO9X+W8erA5bEePIEkssrp8fOQP3HDLmM/6XRW45ED/CZoVWJePIDlgR1L3/llfjJXfJDzryivo73rkm8FPSV76yq95TaGFULD+ULb/88mmppZZON+N191+iT8nEoZ259bmTMRHin93ILln25ZhYkw3yz5CnnoXvOetxQj4a4/HeeGNCxr/yg4EVlPv6t7/97faDCwrMiomqj3z0o1iNt2i6E/etv73od7qST1ZcS1wvignzb+I+/+Fc/7tRt4zjciByzBf+5jfKT1t6Wlp99VU1fuSQ5QdouU+WTf+AjK5YQ6Hc/+VZY8XXvS4tvdTLNI2dd955uFf7gZaX+J/5GbPgfvD09KSZnqR18Nj2x49xRxxxpLYpBefBHxpZccUV8Or4C/G8cpm+tSGf2ODWG4PNRTSDRoXF2B9kxdqG6ytG7gttJVmJP8n1q8tbLnIjlPPv0i9bOr0GY8bsz31eukBz/Rnuf8k/G2uu36hqTnKjTNRfhtd04Rk9lvnw+ZY34J5iYXzSRH4ckBWs0h7z7ytf/nJMxO5X5d8fwG/b40e8mH+ltvkl573h9fjLpgvpdZIVxbff9jccs+Vu+QNBu+qP3NY6fSzHmw9IqslbOf/isgBUNsgs1qU9SFTkNqLKy7f2NTeLP9w/zmRdkN1vHaYHiYrHgf/LxJodeH34OW6jUs8/KJQ1WfayMfyDZ93HoaSBfV/qYHnHOkNwUChrsuxlY/knUvvy6/EOO+2k5y9LjGVZvazaOgrLm/fFYIHxPJ3/61+n+/Adla9hdcXJwMtIPvtsz8W3lH6EHCZek7RY/Oe8M1p92g6vyf0QkzhSQnK21CNTXtKGbPS/1MZOJjbFg74Yr+rIRFi9WSOxKfKHH3qY/lIvFcjg+y288iDfF9Etty9/Jv49a6+tg4S0I6u/XrbkkuDsaOT7J2viJpZ1in6rj2yZ3o+bI9vMIvtbUNfbdfDFdCB+8Xj+85+XvvOd7+DbF/KriWyGlcmeDdbHA0c4f/kOkz18G24/TCAeiZVxcv5csWZHJPa4jdLhGIj32w+DEdTrfeD9aUtMnCgWzd1wI1bcYWJQBhMuMT0UrxrJTZAqgZTvr3zkIx9JF/0WkwLY6P+jjjoS32ZaXOuSI5fvUn0Oq1BO++mpqAwfPtVl5N/NJaRcSp/GK5unnnaanj++w6jL2ZdaailYZLPzPwcPIXKMPP93w/+f+ARWHBko/RC/vG6XJxnl/GWp+GGYPJTv0sRNX2vcakt8kxklUfWOmLyQ11mtFSDB/OJM+6ugcv5Tp8qHWr9nVSjIkLKXje3zOEVniEJFF7f3vPtd6Yqrr1aADueo5HBctyVxs8/C/3zoofRqvJZA/0s7Ev+/OuuX+p2Oq6+5Jq211lrevvhfHgC/ihvYxV760vSvfz6Eb5edj1VUX0Kc3qd+01/UgPss/L3mO7g6wl7nkb8KKvEn/pcbIzln+yYUfonETbZM6MT+9w60vS1eBe2e/+WYbF17nXVVTz+soBNrX3MXHIAJ4ENlBScAPH+Z5Pzyl3bBhMM0qEfp1/j1dmu8Wt49/y/vugsmS/ER91xbt31Rs11Sb9iZUTrjzDP1w8LS/nK44d1bfj0WOwoNxf8XvrBTesub32p+BFLqvuWWW/AKgUwI2yT7296O/rjDDt6+fBdrNcQW/T8LVn8ee+z38msmVoe0KTEpE9vR/7oadbvt7YDQnnyfb8013pH+eustkKak5+H1EFl5xG+g8awPOGB/ff1G6pVj3E0mYl//enC2yS+528sDUY5/Of8NMJGxCSaqeP7CPIR+u8Vmm+kNscSD2A444MC07MtlwseOXb69xdWJopEJ1N12+yry+5MUL+3/E7+mS7+98DcX4ICklhEm5X+g3wgUu2hWedMq9gppjj9ZufNpTL6Ljecl57/Vlh/ReuRonoPVr/JqvWEMJ98vPASrOaT/i379DTYI3yUTDFYQol9tuukm6UJ8x1IcxPjTvwoqkwf5oI474XjE484efxL/60n+lqSA2mUv38H8IHKnvNYkmqkL4Zd8vELNcYjjgB6NJtMp6QtY3feWt77F65DjlDhaCznh/nuwkgj9T/KRxJFt1p58X+aNmNxk/jsVkw7yxwvi+Ws7KJRPwWmuyMnXsVpiz332UeD70Fc/tvXHHXvv3fekN+P4OPk4MyZv5ccIeR3JQFb7Vchf70Lss3151f84TC7JD0Vsf0v4TPI2z3/fffZLy2ESm0couAewkmX9DTfAg9TlHv/yPUd5ALJtpK8rn/J9TKxpxebdvfEwuRzyI9uXOmUC8t3IS3drf7TXQn+A1TnymYJ6syPkcYqN/J/w6QcZD6ViuWQvfsmLdTx6qvxwpiBD/gSxJz8Qsf29sNpcfgySTb7v81b8uMRvlM2CvHzscej3z4cPdbM6xIfvgQ+lW4hmvrnn1dVmMz2ZD862mpPfl5Pzl4mKz3z6MyhjLcv+fvSNj8LXF2CyV2TpG6fh+KwVbVAn/Q8+6BAI4r8RfL4R+kHu86rFWP3Qv5AHNtZvvPL8Jf+eiMkC/f6gVjjCjyR7YOLxW1qx/Ljz/vd/INdgx3QGfrT4BH60EPjC8hCeXxvTArqzIxPcJwWHYsthwnFf5GAetPjurW9+M75neA8uhLxKPQt+pDg2zTHn81GD9T+p6hqPQ7v/k++wHou++2TkIGsFPpSJtTtuQ91yfCN823bNtC1Wq8tmR4wVVfDhx7A69YILsNIL7c3+XOQXTJ76AQlYK7RaZS8by0cc2yU1ZNyXOljesc4QbwqZvPyDfJYEQWmT2JKHh9vfZLNN0wX4MVJK7oUVa68NK9ZkYu2U75/s+f8luD8+AK/czYpJMD0WKYSS++FV6yNx/8Tx90T0yXkxYcP8J6tG5W0JHr9ckf0wPrwCkxw8BdKLL74EufiDqFbQsrJxmbQvJuokV7C8YH+M+3x5TVP8Lwb5/Il8JsPPEiAZfyT/S46XidfZkANtG1XPH/yjLKz/hz/6IV5r3R5Qi/8foX88F5P7tEv7f8BxymuKbP8IvMa6xJK4JyNKQCH/Q6IFnBr1kxffyJPy8kcJtu6smpMygj0KY/fee8lrq5BwELOhz379yKNt5SsPCjZ5bVc+1yAq6f/HfE8+0bGwtgaVfndwHbwhIP6XM1txheXTrnjmivEvq8rlO7oXXoAJP0WN0in4EVnyEZuyo1dzPClXXHIJJtY+sL6e/8Jo/zu5T7O85AFOxsq12Q/5+ZVVfpZVi/frN+f0B3m5xmj0RPyAPd8C8wurx3L0UUfZGzkwi6s3zPcmMCue/v8i7mtPQEyyfRtX3+Ywrlgzu1W24QaS8zZhRdrmdNwPbLbF5sidF/r4cyAm5+UHVNt4ZCxmsuxlY/v54FTHEqSqrHalDpZ3rDMsEBTKmix72Vi+tV/8RI7UPBX3Zol2550hPiiUNVn2sj0m/I8kjVXfeXOGclE45wwLEftwZBbOtCbhQFgn8cFUVHWDXf2gTGWmNQmNPP7aP/3nZ4zwi/sIq6/wD3SZaSNM6oyQ6FSHB9ARPnA/WnPNNSEvYzhg1nzHmqN/YSmAbnQPPUs9ZDeB+dLOO1t5bUvaw79llu21r8dBDOxsF79+V+3Futm00tw+lnWPfvyTn4x+gn9XXnFlBXEBlXz1q7vl41p2dMThR7hJmOuvu8Hbl+M44IAD/KS67WPSL5+T+QkPq9X5x4rxK2HG2vnj4cvMuVJ8w8zt+PU7F83GmowOO/Qww8Jne+21F47Pj2yED+XmeszfmFyMh+Hn8stfngmcXX+h+Otf4XhY3/TRpZdeqjGCVy1H+DV5dM8993od+CU5t2Xn/+Mf/3js+Uv9vP748PgIv255e1h5ZrYcH+ecc/bY88eDvh6P1IXJxVwHj3c0Ov2MM3I700Z4eMz1BFKguWywCat2gjIN5Mgjj/T2rQ9NG2Hi0isR6EUXXdTD4EbWMADgw/UjrKzAv91Hu38N/3bfY4Rf89xOB++1155+LvQ/JpFoVjxeUUNbuZ/CJ3KNrrwSsZ+PGSs0im+zf3fZ5cvWluwzTli71qX/Sfx/7GMfcwwmbEYrr7xK79wwES/FdWN1eFW6bhdt45tsXhfxsf1SAWvJtCYjfMfP65bznyj+PUbYIKuGfNRRR+VzWXa03nrrGULt00fWX0v+O/+C88uhhjqk0GGHHurHI/7Xvh0wWGHn9uVfu8Lo6quulmK2BRxePR1t86ltgbV28WH6CvP9U06BjX122kjO/aGHHqrOn9Xd+tdbca1W9nZ32mmnqi6JP9b13ve+D/36nmBnLdNHd91112i1VVcbMf7ww0F1DbWNHH8bbLDBCJPKoR5jZf/73//ejiXn/9iepK+3vOUtbt9ss03tvOjxfDhCsOJ2tPJK5bykD15/3XXekGDWXnttj1H8QQm3KZPrEh4Pu379pR78AYh8btNH+KMfOJ5y/ffffz8eTXX+Us9RkhNQXv69r4ojsY5GeFXW7TL+4WPjZpB9OB5VqkxlpoGUmJ02+trXvmb15PyPyUrt/3osGLPxwGH2uM91/fznP8cxMZaWHWFVQq5rNMIH5vPx2vkfftjhastFq2PGB+lHeF3Nzw+vunk9wkhfoG+E4jVVs3PvlY5GeN0L16PkH7zqZqiMcagzuZJ8/rvuuquf//KvXX6Ej2azlUJz2W22+ZSfv4wp3E79yWnQ5+sOiu9f+vl6s5kxH8o9jeHFhxET+5/0DeurbClTFMAfRSo+wvnfc8/dbsQq7NFb3vwW73+bbbb56KF/5j7GqvL5S99YiX0e11/8LXEct6/ttrvff0kslQM21BmnS66y83nXu9YyZT6peG5ncJxFG1tsvrk3IRiJQ7mv5HVXHxLhlZji5z/LcYh6BH/B+RKzBE23HIa6JP9gsh0+/Fcxe53TPb9I/pV67rk75zNiSFn1hDJBmdZksP1edawCBhlb6As7P6JBA060m2y8KbDmf7lH0y1jtte+xD47bST3X2YvlQgnuVXin21ilarhZA8A3hDINqvrvPPK+G3Hw/qmj3bZZRe9luJ/ia3bbrutd8wcf7Ei3/ufXH/P8bl1PZ6c/++4g8duRs1rcu1g/9rXdssl7DjkfpfjD35EGtv+7373O7//xx8FynV0CE+N6iBLPmX+sdyajTVBvsd9Q44zoX/+059YW7mcKCN9V8eijMXbBtWxy/2f9ZNlR+9973vNX9pWbjDXdtedd41WX3217NtlR9/5NsbguOX+LyqWLEwYe3Ec+ORBLDkSP+k4kI/x8MOOCLXk2jLBH8EZLY97d/ZtfHPU6srtr7Yaj3HaCJ8oGcn9TG9DXfiDEblPWPxttNGHCgz2U075fvav9YMtNt8CdT1UTikfjxS69Vbc56y0kl+PHTv3OaXizIWyqhmUqcy0JsHJrJP4YCqq+hC6+kGZykxrEhpp7ds1pL+Ca4rqMe1/+fXDttCJqRLK8yCNNvLFVjjaSNXSMwdFa5+uqig9RFoZsyA2SfZnnfWr0QYbrK/JCKtMPClNy5Mnkjh5gyIDB/4y1AgfAbZa/gf8/93vfgfnbEl7R05wZR/pxFQ4f33Y8uhWB2bkaPThD3/Y/YRfYVQ/kf/Xwo2qDcjL4IFje69HGJ1Yy/4/+KA8YDki1Ar/49sXo2VxjFLXXnvtrSgirrsOD4Sox67rsjbJkushRnrrbbf9Tcvz+sukoGyKKcAR/qqZ+0raiw+xJ598sp+/3HR5eeXqHVYGAWs+F9/jlTUH4Lsh5pd8/jLw1ls5oMNx7nIccv5YdeUwIk6XSZd8/vhAqtuFISZyFYCYAszmorju2mu9fTkO6Sfy0ESEULxW6P7XY8UDrExwEfNw25cHEinPWBV+1y+HSTG0pRNr+Ti0/8IvV16FibW8SbucSKf/d9mlM9mQsZdedqldzxD/OrGWj1wm//gQyfjDN+u0NM+NVJTif56/UGlfHy6DJ3LTTrR8rEQtQYH4l4c6tq8Ta8AQ0Y1/meTkRgzRF130u3ydpuGGcfnSEoCf2mab7PtpI3kI920g/8kNpD7QSvzCdz5pngvtsL1NLsj52wRrORKvNzPnnnee3rgy/+IvMMJieO0n+SFezv/qq6/24qyRVAxYuej+l/OTiVHZ8MoXHljtZlT6v/Rjblo+VgIDVtK5L7CallClfJCX48XrlH4dKhAEue6MP4nnK668wiH4K2pWf+7/l19mucgBsVb4X34E4vWXdmXygIeM1+q8/8sDg0z8cCOG/hT9+h/8oJ8bVi9bPQD6DxSoX45XYkW3gesvMabXC8f/WjzQdrc788Qaz98fKrtAyHqM5UAzoig4iSfn7xNruRy+m6jxJ3ng0yE3splSi3EbbbSRxz/rEsux3zvWzgfnLnEjDzW+DZy/PGDx/Ndaq8650heYf1ZCzNnDVjkSrzcz2u9y/sG377I24AfaF5DE9vIrLO/nfwx/KMo1CCm1YML473dpTj4b+VEmfbnhj7p4/ys+LCU5iUD8hvCh5TZcD0xWB6RPcsn5H3547BsRZX1D6tD8DYq/eMjqR9Y3OG5OG12OvjK0sUa81lrFf5xYE4xOHiCeJaZ1Yq1Tmf4wlf1ffphi7QBn//PHDbnukoOJECpxyPuPoTE6XglpXuKQ57+bTBazMthsctLOX3zI9qVc3GRCn+Of0CuvKD4krlRbONpI1dIzB8WY+COClPUJxdsOOUaWyRPYQygrgVfsPP7w2lyuxvA6SZ3zP/7KcLYZYY2kYueEyXHHHqsg2mziwny6gowL/DEEKMVkIN5Y0P7P+4/jjjturP+lyH333+f9T67/6aefru1yx/wn9XVzoE6s5fz/td0QA2HD6+0WH9JHcP4XX3xxsBrLcyPtAaAotsL9H3vXAbBJTbT3aNIUAUEEKacCIhbEXxGRdkpv0ntvolRBlH4H0rsgFpBeBekKSEeQcqCiFBsK0qtKR+W+/3lmMpPJ7r7fwWcDTe6+zWRmktnMTrJ5s8kk8rH9Sj8G+xc7dGLgx/Pnvdr7pz3uDZySm5ON1v8dgd9RGibgXnTS2Mbf9g6W/O1CwIsV56oD1B9b7v3ODLAsFhueMU6wdvvTNp25aBvS9qBb9p8yRsjkVExGYLu28LP+uX8YGvot2ltsf7/nx91WyKVMwEeU27QcPlP8yYQt+MkDVzH+/iHtD3/4fS6pp/3h4Ad///D9i5NrM3+AovyALkDhyYyJFhA98slkHBYXhXZKGcwllA45IKr8PtW+afXf72MtrLSTtXXttCB56RK6GGfOAJiGsKZUN7NktEPtQtrpgYx9d+TMGfgvl/8z+BM4Cdu66N9HHlGuuTiMXB8+XNZYaw1Zdh1IGWzru512zi6hi3HmDIDpH33+XML83HPPim+oF59/EX4onmswcdXc+ctfyFJQbsnEj12XGZ1WUye33n5rM+movL3DGQEsD2eiTzwFX1Pg22233bBNYfW4vjSwggHS9ttvP3G0TXteAT7W8lZQLL/G1k4+CwY9fQs+1pCtr/4YYMrBC1xfvtEmOLyA2ywZwP8wtoKuknzEcen1bbfdjiOyScwLX5nido3FF1uMoJDod2eKKbBlJoYkf4nFlhD9kXThRRcmZ8iNLIc/9fRTRe4MWA7/LWwnkFXiFIW8GpjAAnMQ1l5zLUGz/mOxrWoFOERnEJ8KsnVOfdCYHvrqr9sC9kauUc2nF1lEfANKIbxA5g3YCsrT1SjyPe/lCUjcCsqbyfV/7tnn4FR7X7jHABNDcb+KkiuyfRB+/jbdZNOAbLB9hs6I70WxYJD9AE2D1Qvw94ZtSyhr0802bX555y8BU+4kaEtTNleDPvlkk3s58Y5ok3ffdXfzCPyVPPfcc/LHEw1/+IMfNi+8/AKWuatLYmZeC6dG7vrlXbUcFLIdtinfjO2eEpCm/nkC3XtGv0dQ3Aq6PbYSkMDboVyeCrprsRVUs+NHnPg30RSuYF50iUWbIw8/UlAYKDdf3hX+BFkIK5rqv/AnFxY68ZSfdo3AnxO3klFB+vwp/7LLLxcfLn+Bb5OvoT1gol+K0jK1GL+CfwgOSj7ywY80G3ObRwrqY43+fYaaheEHhI6EJYC/bf833HCj6F+FWAnICvBR6BtfWV0+fYlY4CmYdLJO+dtus608U6N5zEJQX4Yd4fPlRvj8YP1X5MEkyZ5JWxd++TDwFP3zkIMNN9gQGuF7LQUCLAuBPhC/gG2cEoC76BI45p9V/YdhFZ06nRbeUc2tt9zSTBq2nkkZXmjT0C/ZFjixzPR/5Y+uhJ+Y6Rva/xJjlnT5+6ItvH/e96tMuxfGeDSs/1VXXNUcfwK3ouFkznfOLHYpCdzH0svi5MOnn5Hkcd84rvnEQp8QuLzwhtHnLb8CtvzpdtiTsaVx/g98QNjoX+vLu9BPpQb6AZt8crQVZOvr/+6++274etsERDDAvC68AH0St/wjeeONP252/BL8jrFpw+DOOedcPBMQxP5z5Uz/7JN/ia0yzEun+Xvtxe1L2FLMwwtw2Azrz/bHLeb0D1kE5KES2W7FjlSM+B+LfDzcgaenWvu7Gtug3lZsBY3cAUZ57fqrLyL6s4IvImwj+hK2glpYd5114Zfnt9L+vghfXXbanVTOn7Zy89bp6oGuC0ii3y876e5IOLg/44wzJNsnFv5Ec9yxx5mIMk71x8cMnIrH9ihqxqmGt8EPONs9tutjK9QlsGHqf9FF0Jdg2yVDyipwvNDXHe2IgX3YOdg+xfdFbwiF/BnbbXk4jPU/x2Pr5EfFZyJzBsZUUBejBG7N4jZpBupwk802GVb+YUdAh2dBhwiiQ/c1xm2M8D+YTsw9DtvzPkFfeim05fNwEHy8FCp9OH2AbQNM11x/TfOVXegPkzkaGav5e6RdCNL33HM3xgQbu/1feKGemCsPGfnpL/MsbHej/XOLNN9lMWT/lcPr//rruR0ftofHzP7/mLQ9mY+KJyXSRyMN/os4JXLTTXE/rWcYb/2ww4MOP5XtkFVeatmlmj8//Wep/3HwK8uTMD3EQoDkeOzJJ58Q+6cfYdGhMLcYgWtjzsdhQ/S/VwQwWfs3/bMa9JFIn7udQtqFpsI2gt+pe+69V9o/t6phsqCT1eRyi68dXsADWhZZdBG3P/OxxsxY5SMuQwq1Bvn77Yux5sUXothJ8G7aodlggw1MhPTfe8GlAFtVPJzIGRKAlVLNmKXG+PiDhxnwUAMPQZ7gkF59dTjzhwN79r/iQiVsNaaPX80yqvkRfKzlraDRb5medozV7aJf9n9PPfFU2oIPKbxpFEKXEvTvucCCC4jPN5Nf6EOQvLRvtA+jbYPuYxjMz1u7/yVNfaxhzIH3z5jPjkmHI4HQFQNXNmc0R9G/JjqmVT+3Kg7g2INFNBz/fGbMGIF5z/uin3w/tvZa/SRO71++f6740RU4OOsEoXMbKFa/deX1yKcA+hqlawW+f0an7d3GKn39mdrXLwS/0Pwd4gFM7frndzVuGvW/7Xbt63lqNtuF9b+33HyLHm4ghZk0L1ncRyyDQ6MkoKiTTjxJ/E8yLeMc/iajfLx/x9+CU3In1feJZkjXVCw+bKE9bCH8lK+2NX1g7crvYgK7gZQPpb2W949kGVhol9DFmNAQV/n/9fovJ9bkgWsfoAYFBC16UAhWpGBAMI8lJeaFKP0hyA7GyEJQorw8XSIH2FW+q6cDBAUqmBHY/oXjorfEHnqcsCZoXKDYzeE8f6MNNmqmgdPNzJ1KBoI/nt+o+ueJVTf95CZxlEnn+lov3nvyZgCEnG6ECqwE30ryI5iVQb0eevhB8VE2hAryVM0b4MB/UP05UJBSUd7x8OmwAByX9oZUAJ2GHowDHdCY5BRBn9ADHVuNmhPxcuHbj4cX8AcxX4R99o+tOfCJcZzonwPj7eFU3OzfJwZRH55GxBderIAWOYQDGF5qFoWTVOqGcniy5GSc+BGhzJLbH/leor8UhIswUOegks9/L5wUhe2fyIJhp/yQYukpJH1KpEJByPqn81lskRBmHl6AFXxyL0svs1SD7VuFfM8O7muvwY9wHAxA+Twx6yj4IdFKUJI5Vd6ZouSHmfiICQUQ5ITKKpjgYBlWfxkQCB8ugmf9MXmHgS1P59LSRYQ4f5XnqEmp/6GHH9EsAcfmdLQ7hgMmZtCiMNjMp3CKiPRArr7mahlQ/OreX8nj472I/oN8pnmf1DHD2mut4/WnCDqz5QEcUf+ssx5egB9i7t+OuVX/a9APFiaCPehNNb/5NSbW1l9X7p32z/ovtviizeH4MUZZ52LC7pCDD4XO0j2lAl7P8z8Dg7h555kbPq4ek5NxJ6Z/1n+RRT/dHI0fGRaux2ERnDzlPdGhOJ25v177ZyWfwtH2y8CHD02ez3/8eEysJfunz7GX4DeL6cPh8HvxRRcz8fJc5ZkYBpX4BvzOnIRJAYb2ZD22PovfK8qE5lBk7n8mVv+TTzmpmf+D6veQA06sfhP9zzf/B+A4/1S9AymE2igDtnHKKbskU1mcZB4NP4kP3A8fWziAgnWYmHzWX+oqhbCYSTBZfxt+r8E+UCxP7fvT00+L/dFHmdldcSdJ/mr48PAAnIyz/vQxN1+aWOMpoVhFKfcyN5wcn3XWWdQSRct9p8iLxDYvHPywuMgn8iL4a5ltdvgQQrjwwgvlJFchIiPv0erP1HD6X5iTSzwwAuFBOFhedZVVkQX+D6eZuvkx3ikeUG58/s9gMnRp+OUCVljiBC0Rf8bhDlitBUjlXwWflJzg9GAVlFjLGFT/007FqaBw8k359EWkP0CRBwbMH8n0GcjACRSmJVj5SCio1/MvvKDZHz5Wqed50CbPxIQLE3vCV9JlOKWO7X/9DdZrdsQBCdSjB/DH+t//+9/jA9zaILNcOCa/+upmuuRndF/4hVI/rfjgsOlmzRe++AXRAnXhQW9HsvN9y8nC1/L+9RLwgH+PgyTWgq87C+xbp3vbdJq08pFSMCDIYUnE7O/oo47yj0SfvhjfkWBxWYnf6k9fQQfg5GD2v3PPrbZLFgZpG3CoTvv7Hj924EetltUqEUmZkJBDDHBCIhy5zzff/PJczr/g/GZ/tA22mbnnnkfaBgsx+SKIAtL4F9vv4Px8cb1hoC9Ce5iN/gdTBdiXn4VJU45/toVvyI033Kio//U38DAm+E6DgPeOht9BTGyiGMsu4oi4DhPN9MXGQH+i9JtnQewQOiTfkZCH7WNegJZVlngB/PsdgNN0WY12+xcfjn+CU3oQ2X9J/wK+vvrzcCWsUJXboA4/MB8mJxmCOAUDItH3h3zehygdurL3H9MiizeHwP4PK5Ya9r9uE0H/wtS60D/vPffeI7m/BZ9o9FPmCiGv3Q7ibb7weUzMw8cahPKd92m8+4ysPtZwKijk7bYHTlFFfSX0yMdKKXxU4KQ0P/rshHa8vrLiSp+28h4BkadLH7D/AXo7IogX3tKo5v7f39+siQ/rVv+rr75G2zVY+vTPfDw9lGNCCuaHeax49/r93//RhxtKxv1ehT6CfiYloDz/YAB9r7c+fEfuhPe73I9mp5/GcePGolh8ZET+KH9O9P1jMNG23HLLDvv+oSwtMhWs0g3ZwC1Hc+ZZmGTCva+77vrNzpgoItzilsPfjsYEOkhpAg51TO3PirT4PPi7Peigg6UcTqztvuceyDfU3H//AzicBbpF4awnsxPWBGEdfzFt+meZVv/bYCOTmEwphHfTH7BiLX0YHNXw/X8u3tMsiUGe12UYwyPJw3B2+tKOgh/0/rkf/Sz9A5v+pa+HH0wekrL//l+TvHPPPbf2U5LCJShQQb2yb4VrGakyVvM1HCcxwQ/te+89FuAo+HyeD/73Tk13mwpEdpNPzLP4qMLnr4I4zsnjX8kxQL7QeDG6xLwQNXj8Qf4oXx/iYP17+S7KBIqoKt/UITEv/zv6R1/I3gw1btlPiQqpAIqm/pGLlWVxKKtEhVQAA/vIQCvL4lBKiQqpAAb2kYFWlsWhlBIVUgEM7A5i+0Nz8skn68SLPFRm0MfLToWfnOi4l45X18RKo7fhFLM3+vN/+ZWXcCoMTiLlyUkTUmVYqVZg7bS23R/BD2OlAk/VtPoXE1MtnXIAyZVfLI9f+3lykDeQFi8ImDjjSjOdEKOTa59YA+04fCk6ESvWWNZWOEp9yy3xBcaClZViK4fkDfF8/LRB1Ooh/CDkijXWf2r8IJT7t3JCzB9g/sMLUnlK12STTx44MugTA3ibXHgxHOFyoI6wPb5483Q03jODfN0Bj7x0JqL/rbbeGnXcUvL94Ac/hC72FphfseCbT2C/hPpfc901vmKLjn3LSa8hnFaGL2ecdIH89+DkNZlY84IUeAyOy6n/HLJFKMSrVoCTd0dyUsdYEMOvAwZx/CGdmwQHGzwFjas3dsGqrmh/chIYvlJbeAUHgxyCge9FcCytwQo3MVm+ULz+o5q11lnT68+823JiDSt8GEz/8iNurvdIYXSuz+cUA1esYctTRAnMFWv8sW7tnwVwVePhGHCy/qedenpz9DHQBe8nBbs1Jk3+cM/fVmPQeTwnoDQMX/9FFsEEKk4tFrlgjasqxHE2V0tIeO32T3ZsP2iWWWYZQCo/TojAp4vgSTn5ZKyu+uD8Lh8oD1Z/2tnBhx4sg0GuWBtLZ8vMjJCd6WpapSncxiiNV7U/OSmPp8gB9YNL0U7GoZ1AKCdvDznkEFNJKszuBkmAfGF/HA6pLbC//yAm6e6+6y6sANzE0IjzHbXlS9qK5YPFF2SukJQVZci5FCfWMHnAIM6Z8WNcguXRlFzthy/L5GDZVpRwko2TRQzS3jhZHoOVZTFoplOiOHkgK9ZQ39NOO7056utHF+0vFkVY6xixiuGpl8fjoBeGhx7CBxa8B0iZih8ofoyJtSBfmHAh6plkR2b/YkeBV1ZT4cQyC1yxNp39qDTkcLGVhZgrhOk4m4GrKnbCyg7eI8PH6Bw89b+nnpRsVkm9V57QJj98UcI7Z54JP2iwCgJhe5wW+ZOf3AhoVLMTPoDAB19WmgkTTq3/c+ljgtX/Ijjtnm2WWSWPrLLBj2KGXXfdFZNfa6Wc/dE9WI240cabgKj2X+jS9BCyGoqrGLl62+o//haspOhb5RDy9oG6qoaVnIAJlFOb+ecP7d6EhYw3QIdyMitwM8E5/2U/uEyp4OWkkJ1o2fmxF8ogWLaN09A25hMOntR+1FFoG7ilT2PF31E4KTKG8pY09TGcvmjvH040a9vQXLpi7UyxW74X2ivWbsChBF/aGasPUX86Wpf3pwmxGFTrg4niCeCyYi01kCj/FFmZCh0OE7IdNrDDmd0OmYXjgaefRv+C+n8Pq0+5Cj2GcEvNqjgc4sEHHpTxB53JfwCTX6817B8cqsf3Hy1BJzwIIIX+L66Gi/K1NTAHefGXQOoYbhQE3R4LCDJcvoAVa7fxAw/0z+cuhxekssaNxerPH1wsZfPwDdpMEIM8OXXoIZhYkwmURto4fHi5FHMOTwQnf/khsy/chfcEtsp7/cdj94N8Pw3MWSKRQ3KQ0CmY1KT98aRJWwFMqvXZVMuV6AN9Yg1pXQWmk1XrYoIH/kWZRUMS8pObbobj/bPkVOMWSZLsfxZcYMHmoEMObmZ8+wyuf+OdWMxJ57OxYo3Pf7311sE97KxZrJIptnslsTzkwBhBSCC2KTbw/SjlwG+1r1ijbjfxdzA1wgx6yxOzP7Laqu4gMZXRtT9snfXVy5yYjmNi9gHc1UD58rE7rGzk/UgwIYiffR4fjpccYxSsikRfP+us8qHsqK/jAzTaiHwIPSKNmZ2zC+TVwXYw0PLCpL8H9OCLz2Ccc/DBh5hiOs+Ut0YD5TjH3j8nn4Jxzgc+2OHt3sFrxIT6W5u2nEbSdEgF0HhHHFtZFoeCSlRIBTCwjwy0siwOpZSokApgYB8ZaGVZHEopUSEVwMA+MtDKsjiUUqJCKoCBvQPqxFoH3ZO7ByXZBB+IDjpgfZHHzJepHeH91EEZBB+IDjrgsjLmv0/+k08+JV8pbr/9Dul4dJOZfu2+Hqub2C0vjOX4eiIY6g8ET9jkVie+yMsQNZUoPSihCD4QHXTgH9Y/B+7X4quanro11Mw5xxw43WYhORHp7dNN37z1rVNjBd5bZanxhfjCwsqugi2Ze2MVCAPvRCfWMDEFmFt/TCekt8NqOKHqwT9iIAfCF7+Ytt7k6pTswO+yy5fk+GwSZKUcVmmZhXEJdp5Y27rZKk069RXHibVvYoKOP5w3xlJ7nuBm4aEHeSroqlIuT+Pi/UuQgnJpL+JLEVei2fPni5oTa6x35lKYkyuciCM+/4ht5NTXy3AaFPHcCionTSJh+reyVD5PR3yxecuUU0mSL/i55poLML5QycTaPlKOTawxL0O8F6avxZbKL+M5k77Ip7EVlD86QuBqpp1x4ihz8lSzczDhIUEK0tK4/ZBf3viZjmdU6UAmy4oyp33bW5uZ3zGTlhGuOgC+Dfn5/RFb5PCDgMvzDzrwIJwi931gtNTpZ5geqz8u12PW+WkS/FzlwNN4Abr+WTSpi6DtvXOWWbCt9K0N/Ps1t9x2KwYrpCp9bfwwpZ1rGJJtwDwV1AJ5z8Fgjie4MvzkJzfJD2U25FEY7fKuZIDHk9VEyXpP5L0LP0432XhjuQ8hAUcb4coNBtZv770xsYNAOu2P9eeKFg9SnFKfePzxZsZ3zIgTxCYDs8pfDtsBuVpnwqt4Bg88gNzD65/9z9vQZmeaKT8D/qjTk+uG0varY1z8a7V/VpIr1pbDj197/uOxFVTvXH/Q8Ucx5R+IL/r8AdINWXf8wcptJNT/ilgNaRPFzMO8zzyN0yeh/xVxWhr8VunDHGB/PJF5qimnFHH8kTrdW98msG+RQEpt+xxAvOMQ8i01XK1rp1iyIhdccF4z+xxzyqqOVVdFX46sbP/s/6aZZhqqxOtvpbL+zYQhtN1XcKLtlNhWPomsiOGKF1aCK/6etok1fikerRO64Y4UROGr44fvA+gvGU7FpIX+8B2SFU04XEHk82RAnmTo8sFrsGTEhc+F/YTZH08FtcmDSy7CSWzY3sl7Y76DMfkoARUx+9c0rqjDq3//q3BONtlkYpecXKMe+B74HE+HRiF8//V/oFCN5QlaFAnU+DvylmLK0m2K2Aqa2h9PxHv7dG9PFdMyyGeQxRFHmMF+1LFu3HLnP/6Qpp39CZMQ7H+5AqiwWSk0lAzwzLPPQts+TOrPbUinnX666AxO0jGJeynFNautsXqz+1d3E7h70fLYT9lWM9b/WrTPaaedRtjHjRuLraAoC4pcf/11MBHY+rHqtdb680RMO1WW7xSe4Nl+/vk+cn1spTbls/4XX3xRMyt+8HkQ1syfxWYcIZnIgX1RJiccOHE8nPyzsA0UfstEDHV4OiZ2LYOW9TRoOKlZJoXmEliYXawCHFvBObhk5aSzbZPmJOV+4/aVLLOibVyMtpGDF+IobsteWj4WqP1fgFWJ7+aJkMKqp4Kyn+Jk0fZcsYZtinbDZNGJNXyYAsx3NN+fffVXPk7qjpJTQXViDZlQCOU/g76V+fiRTOwwyTdZUf9nQodHQIdk4UnwZodINkuhf6ZNM3QnJ6VQofFCHT74wB/l+Z+KCT2buBeGYeTzntin/AkrX3jPsVS2f9qUBdJnx7iS/UXJmThi5oSSibW7sRUU7f9bcEPCraBZSM5ASMcV4+U+uBp/EXzYo0yGsVj9yZVbDHtgYg0HigEyqqC9XK5Yg59BiBnCxNqXZPWYVmSUjH/3pqsCZF0W25X3P+BAyWx3YjH88zWfgwyrPyfeOfGZg3FmzC5o39fJmHNIxhL88CcBrB/HxL+9a6/0VbtaBvu1o/FxmrWJk1VdCY1smb7pxhtxyvQdzfjbxvv7h3J4r7PPOWfz3e+e0LMqOJTmoAPSjnW1dF4NnKlSC7nwXrlKnrrlKi9ZNWzkVgau8peJIRjSaqut0uy+x57C+QDGPjxB28bf/Mg+Nd7BrH8swuyP61r4Dua4YBTewUvYqtQBz99uh7FMrG2ymdjf6NZk+Tj8BrkEO0YY2H44YVvIBz5a2K/R16+PyTe9T3zIxnh7mmmnRR/PFYXjRP+zwi3DRRddKGX6RQrNJXP893G4jbD6c2ECf3eyXJ5aa25yRuPj+LnY6dMftDxuoedWegY+/+9jfD3HHOjzYmjJz5XM92SQxcwe4Vicwj3UHpTwCj4QHXTAZWVMlR918d+of0ys0YEeB6cDTWpYwxheQSwzckTY1IlurMr/h/V/Gr4mweG9KVW24/CH423jb8VA8kCdTLr+WizlPUe2k+Tngr3u4+94XfJvxMvv11gFo51wsh35/OfiBeDgbAg/sK0Lp08cPutZ3vnOZvkVVkjMwz9/OLyHvyX4o5C89IOxE5Zz4yhrvIRUvpWef5ywYK5c0k5cbU4G6KuugmqPEl3kH1Rd+XBuLMeGs3xuI7Ll4dF6DX7p5Vdk0P7ii8+De1Rnu9g3vnEstpKdDFoD/0EbYovfDgLnS5Z/0EEHNedi8oZL6jlosxVJlCU+puAbiPcUJwbtPqw8W7FGPDX0k5tvwiqUKRK55JatHS++IM/kYrwwZ8OLkxzHYqUQt0VQ1qc+hUkurhQBHHMbbHESUET0Jbb3PnsBNy4WNPMAAEAASURBVEoG4fxRmJ+WsWr9r7tWJ9b442lR+lgLq1soQ3ysYXDH+4g/DIaTrxIiR4RL+db/XYSBxH4YSDBQFq/nfv88+Mfapnn88ScSDqtK8KWYthhL5EDM7Ip46p9L8LlVjpMXpkFdbcaBqWqVbWKdtdeSiUUrT7aCysSaHmNP+z8HAxFOvDBwRSFXNCo/y5mAr+BY+RD0JozguOqqq2VyVEYnkMWwGI6Ax6mlgLBS6eZbMZG3rZRF/dP++KPJvnjbPVnM/AZbTFx/iBwRNu5s/5xY+xImTylftoKmFWvM9Vrtn6VyQoQ/Aql/9j/ysUHEDaHvWC/5WhpSfzbYnj3c++fzWGU6Hse+U/8rrmh9itZ/QwxE78WAlP3cDjtshy3QG4mU8hLrHGHjGmouxYo1DoRJpf5vvummwi+i5bKYWza3+cIXkvVgwgM+8jhhSz9+Sy65pBRM3lNlRd4HAOkzz09NWNIl658IkyGTOTKxNgqrCWh3o50W+chPH5R//OP9gEbJBJH98KVvuh13Yn+n8m+88Qa0g6mRjiHL/yl8g26JFa98/gyy3S31STfddCN0vKPXBIdBNJNNOmlxT7HUDFuNiNGVj5xYI8yV2+xXBj1/XbG2rL7B8Py5pThq8i/4wf4ZrFjj82f7YzuLqzUoMWu0DQtR6JR/Ot/f/FGH578+3m/xR936G2zY/PrX9+I+G7h32KKBk2uvd6ydlUj/cpzEpP0vutinUztHv37s15uTseKH4UMf+mB6L2X9Ex/Lu0wm3Pfprb9NBpAfTrybb2MrXH/QEr/1rW81J3z3eAgYha2PcUvRYPksj64NPo0PQPb+Pxr9G1f72H1a3C+bWOXgBOGvoEPKpw7hTD5l6ZdPHepkF9wGoK/k1keTxbbBSWc+9XOwjZFtY1DgRzocvCLk007DVkNsBWX48Y9vkIkR3h+f/03wITjlVFO5DGFKF8r92c/QNrbcSmQSzUnn2VPb4H0cccThuuUXcLliTe+afevO+ADI+perW8r6c/JkF/rBQuCKta+jD7Z684c3f4Az4HCHZptgh4JsXb6239dghxcAqx94eY/WF6ifuj8hrf4S34sf2gwmSxLpsion1h7ExBqI3CbP/sX4LI78JRw5ImxcZf37OfSuI40wd33cjRVrbP9HHnm4bo21Yj3WXPTz+PAjD4n++Y6WFWvCM9SMHbsvJrwvkTrttscezeryAdULKOp6WNoKylI5/uA4hM+fIX6g4cTxgbJirX3Xo5oX4Od1cWy5t1p94xvfbBbCZAhD5BZEwq2wwvI+/mHfxEkyyiX/x7EVlP0fy5OPC2HVLidCceI5aBwzoV/DVtAy9OufE060Na5UvpyT8Gn8vw8+ANLvpd2nxWWZMZUnnTn+WQ9bQWPfyhpY/y+TgLB3vn/EF1tqBybDYpaOA4TgPuNguY/V8DFrjz12F6H2DiYv+9+TTj4Rq8k/JLRB2jX5ZIoyUibHRRrhu7BibZNNN4UUtum5MEF9rmWRlab8yMXxz4c+9OHk5zmWYKxa/8sv+2GzF3Rr4z9b5c9V7NtinGn6vxEreacK/VS7RPNLSjzrf6r0eRyD8APupbIVVBK4M66om2KKyV3/xMfycCo9xt1f9PePbFnG9tTIF/mF0LlEjggbY37+sVyjRlzMbbDFkb+EI0eEjavKH6n9W/9j/Z9ptIyjziNsXP8i/aMDSyGdUCFROK3CzmVwlAOW8XXFnhuAw1JCSkkUKRFPxkh7XaKjFCmmLCnKiZSIf+PKv/POX6RTYP5vCF8Jhv76Vz2BEUvU5VQXHjfNkyBZm3txCuDKK+kRyvgBn5QY6zl8/ffeay85Jpsnu/BPTsDBaTKaxlHLcjoV0jgNSHCMIZ8wT+fZAEdQ80aiFE8JMlNuve0WKYen1Sy33PK410xLN+4RT9XRE5N4OudYxxN48I8PuXyemDSc/CuuuDzf9/8tOISl90Fsls+T0Hg6Vqz/2LHjCrlwFu36J6/nBuCw5Jigp2iJHhfEqaBHp3KUCyvokg4XHJL7L6TkBHwb4N71ZCjq3+zAOFwmgE9DD9gaJ/ePgauyAH/55Zd5/fHDTE/jiRmtsInEl/4gnwq62267C3csxmFQrr76KpWJ+u+ww/ahZOWS08rEhhYcWm3VVQP99YEuE4DDUoSmeAR61N/H8PwPPuRgPS0qyefzhuPYQvArOPG0bf9yGlM4mYsZKAWroPyEMNP/wQenU0HlNiboqaBsN5DP50j7v+++36cScFrTb9OJi6H98aS/F198iWKKsMOOOxTtj/e50447ef31dMNkM8n+eGobDl9AOaoXi5jGltuhe++9ZwjbYIawVav3pLbiBkIilSbFOiz0CXIqqB75vqDUX7Mp12u1f+Z56qkn3X5Z1xh4bLs8J9TTTj5Veqynwi+8+AJO1Pq061/bdr5rbDOSsmgPX9nVTjqM0rqw5wZgMFYRoZysfxxOEDImLmNGrhOOP977X2xdDrxDQyuvvIqXde555xY0JkIxGRauKEdPNpP+G/Ynp9HGjK1S2R71uX0M9nCPUx9+5GHVNe0YbYen4cZiHE7ysWI3laO6ePChB0FRrkcefiTZ8ILSX8GZv8t5PYCfCornz/4vh3Q3Ein8FE9YDu1PeRMfEji8wJ8/648J3VzcAMhzA3AYvKeccrLqCuUcfvhhIfeEoQNw2q+cVgcdfv7z5emtgVHAV1+dgFPd1nC982RPC1dccUU+lQ1ynn/hBSMhTncjkcLs96z+W2y+ReJVGlasqQzYPt9HfO8MF7bacmvh5/sfqxhFXJJYlKu3ESkThrCCx+t/9NFHDSdmCD4eh3g6OPxQDV13/XXOe8D+B7p8TAgNK5+npfJkPLN/ngZt6iEA5+re/u7rOSXPhQLAKmItB8+OfaXV7OGHHpZnYf3/HXfcrtmEwbiIUvik77JtcAyl9o8tzcqfrjxx0d4/tKV2uO7a673+vCcWG6VYSk8F1fa37XbbopjEhUh1qPK32aZ7gmGUybHRmmvp6dHU43e+c7yQTeZSn13K668nDWY5LjPliM//7rvvimJeN2zyB9Vfq+tcKD/eF8VlGk/Wps7Z//PE3UHh5VdeTs9Ox79yKiiKsZJ4gr31/98/Dyd0OoUllvIP4ViEMqHT008/vRApp0vjpFqWBV+rBc0SJtPG/yyHJ7KXcoyLuSYMPYn3qfU/LPv28eOtOIl5P9b//+lPfy5op+CkTWlHsF2eXOslA3BYcqSURJkyYejVIfiRc/l77bVnUf5rSfBUUPv9AVcdmgUishSi9FRQG3/wXp1RyUUaK9bk2fP5f+1rX0s0jTDxpzTolidbxuAye+QLnzA4F1AJdpQDcuqx2R98q0YxQ+zrRe98NrgP6589NwCHkZPjT+k/8F7YYovNvazHHn9U8tvz/+lP73BaH4CPS2J/UpbIze8Y2qeczprs5WfhZHe/G7kpvTMcrATZ6ItQzvLL2jgn3nXfHQyP89wAHJYsKSVRpEQ8GSNteFl9VM8NwGFhTCmJIiXiyRhpfRKGx3luAA5LlpSSKFIinoyRNrysPqrnBuCwMKaURJES8WSMtD4Jw+M8NwCHJUtKSRQpEU/GSBssC5Pz/A7UDZ25PSDwsQtz0BqYy1Z5KG/IYaDEmBGUOfUowxgiroQ7HEBU+cPr/5FHHm0wkdLMNedcygidHXDg/s334byVz41bvri1jd8FXsFKK27Zet/75saWrklK5QtHliXEoH9uG/sBfI7wKwYDr5PIF6VkHYqQrUb8StR+/u+fb158oT9D8g66sAiWxhVA/MJEUe+Y5Z3wdaLLm9v29yBWTKy22hpaHHhXWgW+zsQfksq3LUBkmHqaqbA14sfK23OlbjbedJPmd+kUMbLss9fezWJjlsT2rbdKjoceegRfiE+XbQxaXZ35FgfnaTk+FTP+9tuaz2+jq0u40uxH+Po25ZRvQRnWkqS4xnwzKHZUswG2cmQfa1ix8+BDzcpcvo9CeXjB9dff0Nv+ZMXaoovxgYj+b76FPtamaEnjHZtTbDhyR5nRZ0v7dMGNsY1wu223621/L730UvM1rIx88YVn5cvTDjvs0Iyea7RUj4cX7DMWX8Egi9tnbAWUWozWVGuvp29yKySxXHl1BE6Zixx0Mr7jLlyxNnz9pTytXhLTtb8++XYfjHeGLxr8KCvk0/4mQKeUz9ObuMoIiyYlUNzQhL83SywxRp2ME5H0L18s8cXQ6mIrB8RnkOQmZUh8FOWtoKWPNbJR/tnnYXXE6NGS65VX/tYssgh9/2ltrP3xyzhPF30LbIyrPb974glYKXKiy5cMKGzxRReXwwskjYucfomVqHqfupGTKxZ4upRsj4F89r+/+Y0eivICDgCw9j8VVv5cf93V0Ae30SCw/lotufF2+88Mwu0X6kYdZ49qFlr4k7Jy0oiv1f7J//RT8LEGh8fc6kjFjcf2eK1X6k923gloPslGVvLRj1474PXZ7InVA2yvDNT/Cqus3IxNW2bZ/9x66y3NttvqSj/q/wj4H8nbQZGJAoBn/f8AR/B2OuPkU0zWHHLQIbLqlmXHlQa8TzolP+2M05u3YiuGB5Rl+qfzaP3KN4SteuvDhwrqk5ROX488BIX2NzW2Z5919pnNrCjP6q/lyY3J6oJLZbvIkJxcxpVQFgofa2kr6KD3L1eUPPTgA3JP/OovzsXT818XPm1+89vfiXwejoIfg9i6z3qVd8TDdugvSLFqf3F7Oqu3IU5FvBenIxJeYIEFcdLZsc1b3jJFqrnWSe4f4DexgurXODyE+l8BKw2XwsoyBlu5zOc/Ffpjvl/6AkszH2uk8/nfhq2gdtd8/lydMGbMkiKfz//MM8+W1Vjphornb/lUFksvMdQb7YNY+iLaCb6IjONWfLnfFu8Q63923w3bxbBKom/8RV9y3/7Wt73/4fN/39zzSFk8kXiJJZaQyrD+yyy7LE60/pqXo/em11tvvQ1uEL7gqK/u+pVmdRwiYPfEVTaXXnqx0FmbZZdZCtvgD0BZ4LDqSTyELfTnYyu9bktjhiOwumcx9D/DBSuCPOIi4RvHef1ZvwXhn7Bdf0wqyilydOpN+8ePsWbf/cbhdkZhaxlXP6T64Fntsdse2HK3Wu8tnHD8CWI/VlduI5sb4ySzf1mxJlvA6Xj/e3Ac/h5ICHdsIOLV0jZpliVtQw72UAb1RfQ7UIbk4CBtGzq+sCJ4g2wbG8Am7PlT1AUXXNTMPvtsJIvko6DTM844S9I8TXyjjTcq7O/HaRxFhuHGP9oH74JVItyObz7WVMitt4/HiarbSLnsf/bYYzfZZqb3Gu4Y4PHYsvdtnCZu/d/Z1CFWKmqIW82xnRY+w7iKLoZQmjynh7AVlPU/DSug2L+0x3+D9G/y7Vma/Hb7i7IJR/lCA8Kev9BZR7S173zn28K7GA9DOjK5r7DMEvPQitPhPzHRkJn+9OhXz0L0V9jvYw2cSf5hh8HH2tnYCoqb+RJWw7PPVHHZ9QYRSy+7DA7f2N/1367/d7B19Tvid5KUITkteN5557VbSmU2DSZI5R13O7ZmUv/TTD2VHDQ1ySSTevv7GA77svFHsR0e98EVS0djxRql5FVgesfc1vrcc89j3KBuLOLJpMqht0O/teeizpS/1Gc/I245Xs/zPxJuRc7Ae4fhs3gPHHQQ+6JSI6SxfcqBSaCtg1XDO++sKzdJo0Li8//e986DL9SDhEQXLXvKijUtk6cfn3jySTL+YFvjlmi6Qsgh146rnC/FakUGbjm3d3DmSLla8ll/8ZW36SbyrN733tFyUrZwg/Y8dqIsgYOazP6Xk75+P+2f/elq2VwBb30ja7DrV74qBzCYhjbbfPPmlz+/U/T/7tlmhS7PgIuJaf35Q5z0f3RHRHvktnX2v58dg2d18IGQxnFzGOeg/+X7h1vgzzjjTHcvoHej11+xz0NZFjZcf4Nm+53yivXX8/xNvpUlD1PuKGPakNYpYIGIz7/KxzNPBmLP39uUKU/i1//7i1q3IvwJAPFm0r9PrHWqHy3Ha5eBDn8mATK1WJyIlrTY+ZijZf5VfrbcQrea6Oir4DEFD8Fv01eaa+C/im2Ax7G/D6eEZbUb3+vT/y+xBBmrCdB3olQUwVLKwGfJXfYTgNbWJ1fyosOdHn5oPokfzppT6Z36pOf/LH+8pO1NlLH77rvJjwoWq921vmD4YuCkkgaczrnSKvCHpNsQiZOJNWylxAnX+MGZnFZnRQAq7e+xxx6Tpf5P4+QqYUslcwBInwgPPfyQ1J+3OQd8c9ipVXpy4N7gZr2GGnzBa7D6R7UA3nVxGtsO2+3YTDoZbkQKHiUD56/u9lXx6yZikHUjbP/ZHpNUFuQHoWxhsq2g13v9jYexTKxh6wrebPibgG1+t7hD8iTOxMp2QKxwYjZsLbkAW0tmF5gXToJdgKPq2ZkxH51hr7322n7UNvX19FNPiU8xbg1mmAG+c/BVSpZ3s/4/wClV++wzVmicWNsfE3BJLRr7DeHEOZz2hlU/wssTs47iNkXruYE1HxDCgMu4fcc1y+OggVFtr7vCgBsuBWm2DtoQrGJ+/ldedWWzGwYX/JFo9dcC9Lo5Bhqf3+bzHf3zVFNuy1MFq/55H2PGjMFk95zNPXff09yCrdm5WWT5+Lrv9aeU7TBhc8sttxTyoy8a3u9GOH31Xk4edMIQBnKzy0m4SdGiDaqb9k/5PLkpbs2hX5Ott9paS+Izx6QU6z/9jDPIROe74dfot7/7XUMfKgyUz/ZP+99qq63kTwiJOhL9X4/JU5lYg/yFF/pkc8yxx3qRr9X+meHpp5/C4QXLAdL+x7Y1sP6v/O2vOBXyc80TTz4BuuqfTuMXWngh9ZcH7Ct/faU5Az+GvvnNbxb6j6eCsv6v/v3vmBBd29s+sjbc8oav+skutXw6uN4dp7VilYrofwwmYA859BCXz4m1vffZO9sT6s+DRbCSoXlr2vrAsrGqtNkaW1Ppe8T0zxOJ+cPeAv3nrIpDTqz9c5KO9/Sud73LqotJYJ7weGXDPsfs48s4mGNtOQFSS2KfhZWMUn/K6P7wze2FPlys/9PJg/lSuUPwyQJfUthWR5OiuhdbcnF8pBiLQ3M4gaD6+SN+NG+9zdbwHfckufSWYH88BITb0y1wkpM/PBlYf6wcavbGBw9OkFl4GX7sTjzxu/g7GSh9/jIxwh/1EPcQtmN9bmXoBzc0NX4k3nCDfmBhefY+kbJg2PTPxB+ozMfgdgRY+em4m9ugNGCVE7ar7hA+nGj9jC7lUBGOdgCHPpyCH3Vhy9SO+FGX+r+/w874o/T3mJy1cMyxxzSfXGihZGf6A5gnual+WO4ksMOPYovmdyyLyOVBHOfCL5g9EG614TbJybElx+r/m9/+ptlis81xovhL8vz5IediOLOO21zHjlN/bWz/FvgOZlnc3kMBEya8ipNmx8sPc3v+M80yc3PB9y/ExD/dE+T69+nf6v847J0Hs9j7nR+osJoBpxDniQC+k7E6T1wYaLmT4Efbac28875fbo9tdT1sA7/vfuhQzQJbY49pPvGJhfDDXj0C0T8Q30Oiw9T/LYjDTmSi0iqJWLeCPi39X7v9KZvVa0jcALBtsP7cmsVTJ63a9FfEiU0G1n/xxZdoxmJL+Nvoe5GKxfP/I9o8t6OzzcfQfl+bL0jybL/9dnAlsTEguw99f26AH6fW/++3376YWMV2eUyQMJj+9cMPtuuh/p/6FE/TVZskT7RD8rP/P+aYY6FD+FSCDhk4EYPV59AhfU6porF6BXaIyV67HcR6AMTT4OHEGvuw0W5/LMfqT7Dbv3AraKu9ktFDECSaT4QO2hC5/rkI0FL7c1wAKF8nK6GrFOjKgxM3saKcOBEfteRBkdT/UfgAwzGO8XFi7eJLLpb628RarD+zWjgU7w26hKD8nfHBmb7ALOQPNJy4XBY+1mhb0vKUxaqLGKuJm1XwocjoM+GQE/YVc+AkTgmwP/alx33rm82ZmPywwImfLbANOOrfDi8gj24FnQ6QdnSnnnqafzBg+9uJk1XpPvbccw+cNHqFFD0V+mLWa1a+pxiS/dPlDLduW9vfZpttGo6/onzNEK+horgP9v/09Ue51P9ZZ+ADyDzvoxD8qX5YHu9VTyLHOH0dTqzlZxtLJ8yDpA6Fn0/eZjy8gDS+p1dddXVAav/8oPRtvINnmQV1U7WANoSDHjDOxEcSBsrnbzX62lUECp6I/fGwok022VTY+X5mO0qZEY2CDzi4ljn3PEFR7BfwcWZ9fLCfYjL0z1LtIXwo/a08T6zOB0rd5Fx8yUXN29/2dpfPZ0obtsDTiTle8dOZQeC7kuPfO++8EynqdRL0x9+SDyCW74f4iLf3uH1MLcLHPo9+6N4Kn8f2/nnwIYwHtsR44Mknffx1rvQReZzzep6/yZfbMv2n+idFiP5NvvAn+/O8LaDK/8/3v8XzKp4P7a940ErtoA2h7a8o7x98/qO4sk3uIdxYFgeBJKcGHvGBXcAOrYVoJXOeHkJEVfn/mP7ZIfLlzo7gLDi3nWeeefzRiZ6jshMlot4I+ueL9ee/uBO2SNMfamaYfoZmyTFLyg+YO+74qTiD5z1zaMeY9rzSClixJocIEIGXHZxWr4rTjEjkwJwrFaSesbLCqWWwWd77q3vx1WQDnUAAwuRz9YLMngO35hprwZ/dfA19zlA+fbvJqaCh3M03x/3f+XO5d8rnS5CDkcmnmKL5w32/hx+0nwDLmjGTdtn030FfKaZ/TizwVFNyFYcXtO5ZJtYwacJ3Ouec6MeAJ/2F20k54MAevmtewmEHKNT9GZFIXp4Ix2PDufpHJlBS/RfHpN1McPqP7QHiJ4b9DwMj+iZz33lA/PAyHq+9Dyj40rj0UsnnB7k1MA91SfnXXnMtfIx9GYkhOPZdtKEvHQarP7YlNlwRxvqb/mfEpA+2/soJkIvhZY9ickjlGqKVFHSUb3yMeSIsD3Zggegfi/pTPr++v48/1ENgWZyIlFV5vJGkf9WPPltepdCUL8rngIqHNzAQvz2cA998y82F/HPwgzj68znppBOxauc4zxPtP8qnLykdOGX59K/H07JM/yyEK2ZOxQ98aFh1OaD+pn++FubD6gFO3HByg9X2kEUJqpXMuECQH3UYeFO+rZaw5/9a7Z8FPw0H28sstYzYP/XPCZEgpuFEMFfoCS4RZpxhxmZBTIj9FZNq12GCT+qCy/Rvn94nmFZcESvWMKCMwVaashjT/wy0y49+rHn79NM1v/vdffCP9HPIYq1U2Nlnn42Vwu9z+TyGfiwmoMnDyZ4XMNlt8j+M1Y6clP05Bqw8IIBlmP43xqqU7bA6hSFVQ+DTsdqNP97Y/s3+Zp9j9maBj2DlJJC8Z07SSB5c5phzDvnxNOVUU3pZnAh/Bh8VaP/nwZ8MJ++iDGFMF/7wpYN21t9PBU3MPFCEg/+7sdLM6s9sXJ1AZ+G/wJdwTh7Q4nggCJ2jm/1diImH2WadrRh/8DTLm+C7zfpf1o9lvRf6fB591u133CH3bfZPv3jsj+3e4wQtbfbHeNYQXQTjpR0tvdTS3v6jjzXLYCcDMo89f76b5pt3vmazzTczNpfvCAAiJwmj7yj6WCOWK9b4o5nB7F/eRRtshFvNz38anA5NH5jkoc/Fl9FvsTipD/qfiy6G/jCxypDENC+88AJOA18zTc6CNREWx+qGaaadBm1lfPM4JjjN/vj8D+aEASYxrQyWx8kArrSg/vk+ZZ9p9af/pikmm6L56c/u0JMf5a7V/v1ERLunWCgLRogoqz8nHsaN4wRtrv+73z0bJhcXlkkCHvRi8nnzn/okJ4WoTw0s81f33gs/iBsaSuTwAAselsPETTgQ5kX8wDT7YzkXYLX/7Gmywe6LNsG2wf6PkwF8nxutKBx0nRTiQUg42RbP2PwPku9VtI1NN96kuede9dNFHt7Ihz+ygBzQdCfGPA/c/4DY3/T4aPX0MzgoBXQ+swvQNuxgD5aVTz7Uwws2gq3w/i3oB8olkMxIlvlxvj8xwcYfywzXX3+dnB5KroU/BR9r+OgQx//UIT/6xfbH5/8p+EWlMdB/6IsvYUwR3n88UGo2PKss2SYnoUPURU67hg4tUAvGy+e/xuqrNw+gj+D4S1asyao/49Y45hFMC9FKZpYeQkSZ/TFDxDPNvupzGJNxzEUa7e8TmOye9/3zoi2+jD7vrgZb44HlU1P7J2w+1qQ8XPiR8FIcBEIe+XC82upF/aP+6WPte1yxBgXxhE2bWGNZ3M2xN/o6Zl76s9ghcCA+ZKYgsiyRYh5gcejBhwi/jT/pHJ72x4+m7fHH6NHvxXvi9PyhNpXDsSzLZ/2vvBIHuEyPSZkkkB9a6GONdVt/vfJQljt/8Ytm8003K+R/Gm3xo1iNOgXGrJzgvxgfZmz8OdVU02CceoF8wE2iPerULyBuueXW5ovbflGegghDrrmxineu0XM122DSmu8/Br3Xo3Gn8HOJDxncKTPo+fNUUGzLlf6PE2u777GHPzOWxcNOjsZpmuwfKZP1nxO6/Qh0y+fJd/B9eAdb/zvnHHM2fG9H/2XMOUg+aXfdBR9raWKN72dOPnmA3BdfeqFZYw329ZigklqpUjj2mxYHR41HX/8k/Abzxu35H4iVxezrgZJg8jlpds2110lNeM+0vwUW+AjqNBf8bf9afM3y+VMCM6+x2hrpw50UI3ieWiu/jYDyManeEsYmC2A8MDsm5n6exjlaDt8/PHiLB7klVi2wde3QWohWUnILrocQUVZ/Zoj4lvgurcXcSlb5ps8exUTUm1X/vmJNDSVWiZiYjrByF+SEsjzKjau8gZ2oAHubNFlXUtoyYjrCKVcPqspXpdj19/f9AQOXc2SAvQEGRKL2N5n+uTpuW5zO+fDDj8gLgM+Y9Yv296EPfUgGE4cdeZjw6OEFe7v96Q8qnZiik2AeBd8NbYMaah7AaoqzcMoaXwpc3aVTDjj+Gz/Ct9h8y+bjn/i4buXCBBJfmCuutAJeHmPTraE82P+zz/1FXoB0YsxXrMxlY+WeVkKjeeaZWyZzTjjhuyJjQ3xZ4pdneUvhCp8qMoijfP74vh4Tg7H+Vhf+MFgMP5Ls+d/8E6xYkxUExoE4PX89vCCdCsqBuixXt1dqg1UoD8gPd37d1BECpZPe1f+Xd8GKl3XWFhrvmfLprJSrU/gDn1vLDuCKNYYe+7sGhxfsipc38y6KibUjsRWUcqz+hOGnpTkef235W8Ph+ZZbbgk8g9U83cUI+58999wTX1MvQ3mor1RZy+UA6Pvnf18kFbdHyRgEHHLYIRjgnJvvAvJlgoM5CIPC000Pw6l9wkQ0/tbG4QVWf7Ly8IKbMeEa5dM5bVw5xBUW/HJ4+eWXSyG0vwn4p1Jy/Q87/NBmF+o2yaf98YcUVznEAN9CWKX1reaUk0/BPfGutM6x/vH5vx+rQTgZx4mkHDSPX1+H/vmjjttwKYMrWo+RH8Zqj6/V/nnPT2MrAg8vECuE/NvvuD3fHiHU//uYBOUgUpK4eL8o0plzCAcBLAGnzp/EdgZs+UCelXDypw0Mc8ZGJ+roWH+A/uPzPwmrqdhXqUAppeGpbHLaKGQsjdM4Ra9S98H6X2755WW11mSTT6aF+BV3jjpzRc936FCezxztjyXF5z8q9T9cbcstQe+YcUYy4E/1zVU5/OHItPzwHT3aaQA0JHaZPEA/yfqfcurJmDyYP5UEBsh/5k9P44fNts1vf8Mtof39H/V/0oknYvvhtuKwnvq/0E4+FGkqjM7sudKh0/+B3Nb/0kt9tvnafvtjdbCuymExXLm8MrZLs/5cicUPLDmkCiWErnxcVlWCZ3M7thQXAeyyjeaLXxDVRfkLfPSjzQnHY7UY6p9UmrOirPj8STj1NPwAle1i/FGnW0Hj8yDMjyS7fXW3NPmDTPF2pUht/9NgIv3Yb3yj+TAOKOiTzxVUnFi2VYZSDB877ws3y3/W/nfffQ+ZHCqF6cTaJRdfInX7yle+0tyEAzduuvGm3v7H7O+rX9kNP/SwkqOn/hCMECvUTnPb5blYJXKo8JGzYAfC9L/csss1e6D/noouF1r656nou+J+X3oZK7WlkFRMq/5cQcOtxnT8rSHfGyed5cRcoNqTQnZTyo0Va1i5whUYTJ96ymloG1jNGeoPv3wNT1iEz0zFt/QvCm61DcqQU0GxKhnsEo44/AhZmcP+f4ftd2g2xIc56/+MR9+f3+6MP3iQAz9estzrMdG8C/pgPv+FpQ+2VcO5/pw84wdbnkBuZYPd9a/2g1N3qcNjj2s+9GH0dzGg/nrC6DOCpSP494weDTjLUHZNr7Y6VsQ+8ABQnFg7TT5kCr3NHpBKwrX1/JUFeOnwJRUu7QJjOsIpC1CcFOXkel/9Tf9rrb1m84f778d2ZG4lh8sAuFcQlwGpGNkKyu2A0EtubyRGmQofduhhmMw9Wyjwk4qTHNdPpWC89QM4oMcuDepfDy/Yf9j680frKSef3ByDvkLUQbuU3Ln9M83/H5hvPpyueURxirfdnqxYQ1a2vx9d9SP5GKUlYRUYbP6YY3EoC0rWgwN2knqa/uELEau3D52o/Lnx4eSggw5u5sRHJg8qxJMKmGTeNmA8f+6c2Qqr8fmBS1Kop73/uJKSKyoZ+FGRk4DU37oyCYh7BayhFCangh6kk5LlijXl4xjru9/FtvxvfmfY9y/L5gemE/C+nhET3VkeKVFmhEnDqaDY8r7pZpsKzFO72RdZHuUewi6Yh+QAIX74oi7a9Wdm4UU1uaqeB23lkGXydwV8zMoHcOYgpX171v/yMAd+JJ6CY5PQ/n4A++SHSeqGk/lcccxTh01+3/tneZw2zzEuDyoqddOSz/uRoPfs1yDfOGL/67iQN+O0FE1HOHH0oEwpVX5uf96ETLHsZ/5J/W+n7GSU/2n9y8RanBVUw6AGUocid+i3Kaopuxqlqc4irBi5Es0K9yoTFHZ0ThNm8Ff5rrv0WaOlmcKEhDdhFA7X/wL9P/vs8w2cKcsPoZf4RRR1Yp85CWxn689vI1/ursZLfdy++4nprIoviXvgK5IE8D766CPNSiuvLLQZseLtiuQ7ifTXan8vYmsMtzpMiy/7Nnjki4oD/kOwLJzwSiuvglVamNCLAfIff/wx2dp22/jb5Jh5fhWTDh4/ejfEhOdmm24qJ319HSdwkrQpvuR9Edt09JEONY8+8liz4sorSalcqfWjK36kpHRVcVi+/9LLcooZ0WxBN+Nrnb6UiCAmB/ny/mddlQIH6s0ssgwffBKU97m/PNuce/65WKV1jv6YAE2KARv1vzwmMDbDirzRo0eDwrxZxuWXXdbsuRcnN4dwbDb93eDZ9ATqX7ZVyNJ7TPpgxcPhh6VJHylSy/07dM8JUW6h4YmD8flze0JbvotidlFIvjenkdLT//wYq5p22vFL+KKIQcQkKADCWAy3O22+2WaSXe9Kr1qewtx6wG0Z3L7qzxkQvwRujVMoX3z+hWZjfmlE2fzMywk5+pPYSVapsAz4PNtpJ9TxpkL+eTgxlgNLqwU5/44VVkcceZT8IHryicdUHhlA5FYx+sv421//KhN38uBAY3eyxJJjGm4rYWjXn18yadPXXnNdIV/vrME9zIET4bZpxsDfyaRiDPGODJai9SIZcWnZn3GYfF1JtoOYkJxwinqxHrzh12r/zPxnnNbILTmqBkysjR+PQrryf4rVTd/Fqr9bsF1avorLDWFFLNoXJ3hWXGGl5odoF+O+Ng7ZRzX0pcI+xWoot6Y3KJMUZ591Jga32Hqhgl3+1JjIX3fddeQktbidzurP7dPjxo6VknhaHlc93oZ7/vrRx8BPGE6DDPbHibDNNtu0WQEDzlGTTAIZehdaVoSbhvU7A9v/r7/uOpBT/XFvfP70u7YpfJYtv+IKzeSTYRugPxuWgXa9wgrNE48/Kc//vAvOky/TStHqkYdpyud2WK6AI0yfKfMEXz3kI+MLLzyPDxRnywQSV8l6u4D9L4HtIDtiC+W7sTJITgvk9nuUdsnFlzbvmmUWveFUUyluaEJz2Q8va87EB4/fUD+gMVA+4Y/gS/qWW2zZfPKTnxQ8kAi4oI6PPvZoszJWsZFvhumnb350JfrRnvbP0v785780S33mM67/8Vj5yNB+/r/85V2yVfLCC86XcskAJ9i6/Y0Zgnwm24HyuZqcP7jJTP9Y29vp0cwb3v8PP/ww2ubZWDlylvd/Vn9OZKy55lr4wLFO9wcwb8KfMXzwoA86H6cdnw3/Vo8/9nhh/7x//qDhD+H381kG+bx31l+2r2EygO/f3TD5tgq2V1+CFXLHYWKeq7lEHPh4bx/HipYtt9wCH6P0ByzLiGGQ/oWnVX+u9DjzzDOaK390Zaf+XJG59DLLNtxWz/ezh5b+qUOuNDvzjDO8/7X2z49WzL8OtoJxZTbr0a7/Cissj7aB7dgQccF552HFy1xJlDC7WALSNu67DxDaBp5x9GNljPR9dw7aximYNHrxxedVwbx/CBizxBLNdjtuBzcNc8hkCbdc8TFyUpPva2v/nBA4DZPa1DfdNtDXkYdUf66Q+zFOH73oggsR34TyQUD7owsA+zB1I+g7wpcRb4J+wI6iTfY8f+rwbEyKnI1nYfZn7W9qrKSEM3Vsp1unecdMSYdUZLA/2tcTjz8u8uH4v5lrrrnS7crNinxBILnWOms2/EBMCg6DUpsEzLTVX3gTRuFwlSJxCfIDdWD7Fx4RkiURB/VLMCx3TZyGFUo/++ntstpYGEDkzgL6v1wF484dd9wBY7FbJDNXAXKbrQU4v5cdAyxv7733klMvXYoIMUk8/ZUTqGdK5fmxjKeJGy9PdpTxFm5w+eWWb3BIiIpg9pb+laDXn/3sZ7IK/2q4jFE+4lEI7I8uINbbcD3UYdVmirdMIRna9bft8HwW12DnQXRfwPcBT9RluRth5ZGddC8FpQsOABF/qnf89Gcd+5/nfe9rFllsEXzE3mqgfKu/3Ls/nSAB9X/uuWfR118Jf4/nNb/D9kexWdj/d47/dvPRj9J1wyixrSOPxL2ighthKzV9FVJtffZ/Pj7M7Y8Vgez/Voet61ZJfU5BckPbYD/Dj4ZifyibzYnyZ5ttVozzN2lwKBt8hb4lZWMZDEnLA+ST425M6m6CFbgs6/3vnw/+S0/N+ciQwvPwY3c+PgazvdIFhsm39s8PERx/zgsfb1phZuzKZ/+BQxGas/HepVsT9n+sv7X//8NiA/abSyy5ZJKcIqkSfADyAyJ2EVH+UviAeMAB++PD1K3N0WgPv4FPNa05rih3DnzA3nSTzZoV8QFx1KS8F23pLJEpBvK/Edp/+47k5uJFKsZ62Z1HIuoBHbbHX16mVDLXlDmtlIwtMWXpSJGRlyq/oxrRzL9A/7piTZ5QeEzyICDSnlfv7ZTIIkuRKPmY6pCJCC9vAclY5VMLrykUOi0S3ewd8ptM/49iBdVTcB7MrVazvms2OXyhqFOReP31xzGY2BL2N7FJdnj5pdctixgeK8+tGQycIJMJMSYG2O9jGFDSZ8rbp5sOvo9mxQ9bfNl5g9s/J3+4/ZP3PSl+0M8wwzuamd75Dvwgw8gcoVB5kRBycemQiXid9X8JE4h/+/tfmwmvDoke+ZJnkKgjQGl27ZBHIN/KsrgoMyVefPlFOHV/CIdHTAY7nRVbl6cU9oKXmH+SfD6bB+6/H/Y0hUx+lSvJ7E5bz2oY+c9iMEpfg09iWwj9crzjHTM278JA2+qRS2yV2alg5GzxDiN/UPspS9NUIbJIdLnb5GcxefzIYw/DZ9qEZqaZ39nMhNVbMtAZ0H67JeY6cRLzySeewqQMtm1hQPgu+FWZHhM4MbTlyyEf4zgBzZUGyzQH7o+VBgyQ/yy2N3LFKA5Hw73N1MyIezN/Rsqk16LMIsEtIS/K5Al/wPPZ0Wkwt2959cj/OttflE24EFkkSk76aXoUNsXJz6nwY+Lds8/RTMkfFSOUz8kv/kB/GRPM07E/xUTcFDisRYJXsLyHzu39k+rPg4NewrawUZit4MeXuFIu3sE/Q/7f/vZ3tMsnmj8982dMzE9oZpwJ/TEmMeQjSkdAlF4+qwno17nt64mnHkc5DX4UT9e8E+VIGx+gP5Y2bty+zSWXXiw2u8fuuzefw8E6DMxC+3/iicebSSefVOyfzyWGzu2NQP/s/x/Hh4Tn8MFture9rZlt9ndLu5Bb7giI0nP9X/3b3/BD8yno8BmsaXkVE2kzYyJo5mYyvN8kDFP/ssRc5uuR78Wn+v/976+ibTze/AW+Dd/ylimxkuXdvX1tWzbTRZWLRJebZPrPY/1xiKzoT1/j6WfqRPLHEmmHTz35ZENftNz2PTNsh3qcdFLo0CsYc7TulSTKG2H7t5KLWy4SxpHjDvmfJJ/15/v35ZdekXflO2bO46Ms/Y1bf+7I4DZwbqmfDO/7md85k2y7zD/6Yy1KuNBpkSj5mOqQg/653fnxRx/FdlOMYeaaA/4aU1/eLabAFGUWiYJNEn9B/TiZMTlWQU0z7bT/FvvjduHH8Z7iO/gteAfT7xonXiWE+jtIwoD2o5nKa1HlIpH5aJ9cIUuflaw/+82ZMd4Zyfv3LxgzPfHk43jfvSz1eAfGJm9DecP1f+YDkLfHD2gHHnCg3hwQzz7/F6wmf0T6I75/ZpwRbUcm1PL9DwcVVS4S3VwdMhH/Bf0Pazqc/k0Ttf6qCW9e/4LnPwrLMu03adK7SAkwQdxCQkcqKZoeQCQDA8hDMNz8FdFK0dlur6Axq3loRsFV+VX/MIRsBmIVvPwr7I9+kdaRbY0qhl/dxFFyj3w9vWY9MCpx3/32xdf+5TWjXav91/Zf+7/a/xfvNfQX6L34VhTfI1ixxi/ISy+DFWv7pwGn9G7sRHLHY29OYhn+Ff2fyPPSCVT5SdEWiXZ4+V/Vv2xfu0R9rOnpkNhC1DZO0xLwdfxXx791/M8+n8EaSv39E1tFqRvTE+P6/jGTMctRXZklJWybGJjeCP3vZdgKKj4AURluBT8AHxDr88+9oj6u+BAJM1T7f7PZP1as4ZMVHpw8zvhM9YnKdQA6cAwPFvmZYLB3TNKY8BSMysbrAHRmmAhU5GeCocpXPVT9izGIjQRD4VawW2/l0v1R4lD0y9im+EH4rJkT2z4mxZcuOoG+DEvveWoWfY3QnKaCzx5uLWqv6AnFqjFT89X+qAUE1U5b/0rTa6G/SHiNcJGfCYaqf9VD1b8Yw3/S/uh7hANOfjRdZhmcnoutoDEU9hsJrxEu8jPBUO1f9VDtX4xBbKQwlKQeRH1onVjDijW8H3fHyXb0szcoFPmZYKj2p3qo9ifGIDZSGEpSD6IB6MwwEajIzwRDtT/VQ7U/MQaxkcJQknoQDUBnholARX4mGP4H7Y8r1sbCFzUn0+QDooxzVDtyLRSlauJ1ADozTAQq8jPB8D+of6l3rb+o4V/9/HUrKEUV1qey/Yov6bI/FxGXt7lNOsNgIBfb93Um5MuMAZnAKr/qn/vD/432dwf8E9EpPm2dy6aj/XMJN5fN6w0hAhNPuaF/tAUWWCAZrUbZrKv9d79OBVVlRQVkAlv6r/1PV0WDMFmt1f7eqPbHFWtyei4Mm4cGyMmy8YFW+y/639r+o3EMD/+r2r9sBb2EW0GbZrc9dm9WHzCx9q+SP3ytM7XKl+EJFFL7/zdq/y/Wmg01G69Btf+v/f+/+fePmZ7aJozznyD/UvhY48QaQ2ecU+3fOmrRT3Gp7f+fYn//zv6/ZytoeqTyMAn3D2OHawcySWeW0Zs95UY0cKKuyk+q71WgqLifAsVTvRZ6mar+RbkTsb9f/fpX8oNXHXNntVKlcEfjLWPuuecWp7LvEuf/IFT9m/VlJWVMUhC0OBH9q4J7DbjaP7TYr5mkXtN3L1Nt/6+l/f+77I+nucmpoHhWPFBEJtbq+y8ZeK8B1/b/H27/Y8eNay7FVlCG3eFjrVixVt9/ohe59Jpv7X/fSP1v/yPCMxJCL7X2PzDufs2AUNt/bf+mgWAk5mONBsLTzw/Y/4D6+x/6CSoyrUFFtf95M/e/vhVUnmh63+enq31kfvCJwfgsjhlCQUa22NkKREgE0HhLVEoZ0mJj9lgJRra4RU7JQA2g8ZaolDKkxcbssRKMbHGLnJKBGkDjLVEpZUiLjdljJRjZ4hY5JQM1gMZbolLKkBYbs8dKMLLFLXJKBmoAjbdEpZQhLTZmj5VgZItb5JQM1AAa7ytwSH31VVc1PLnovvt+J8dXcwXbB+b/QDPPPPPIH1eplds/tSArzmIrsxyVBWoAjbdEpZQhLTZmj5VgZItb5JQM1AAab4lKKUNabMweK8HIFrfIKRmoATTeEpVShrTYmD1WgpEtbpFTMlADaLwlKqUMabExe6wEI1vcIqdkoAbQeEtUShnSYmP2WAlGtrhFTslADaDxlqiUMqTFxuyxEoxscYuckoEaQOMtUSllSIuN2WMlGNniFjklAzWAxluiUsqQFhuzx0owssUtckoONXfjhK1LOEkBxvk/OH+z0kp6+i8ZyrwpZUiLvWADlGBki41aFhqoATTeEpVShrTYmD1WgpEtbpFTMlADaLwlKqUMabExe6wEI1vcIqdkoAbQeEtUShnSYmP2WAlGtrhFTslADaDxlqiUMqTFxuyxEoxscYuckoEaQOMtUSmF6Idwg3DnnXdiIcMo8Sn64Q9/2LIgVj7La7EzFIiQCKDxlqiUMqTFxuyxEoxscYuckoEaQOMtUSllSIuN2WMlGNniFjklAzWAxluiUsqQFhuzx0owssUtckoGagCNt0SllCEtNmaPlWBki1vklAzUABpviUopQ1pszB4rwcgWt8gpGagBNN4SlVKGtNiYPVaCkS1ukVMyUANovCUqpQxpsTF7rAQjW9wip2SgBtB4S1RKGdJiY/ZYCUa2uEVOyUANoPGWqJQypMXG7LESjGxxi5ySgRpA4y1RKWVIi43ZYyUY2eIWOSUDNYDGW6JSypAWG7PHSjCyxS1ySgZqAI23RKWUIS02Zo+VYGSLOc65GKucR2E1zfwfwjhnxRWRw6glaEUFamYwpMXG7LESjGxxi5ySgRpA4y1RKWVIi43ZYyUY2eIWOSUDNYDGW6JSypAWG7PHSjCyxS1ySgZqAI23RKWUIS02Zo+VYGSLW+SUDNQAGm+JSilDWmzMHivByBa3yCkZqAE03hKVUoa02Jg9xto4P7zAmCx2pi6gLIMZu5Q2JqcdMsDirljHKMtgxi6ljclphwyw2KV1AWUZzNiltDE57ZABFnfFOkZZBjN2KW1MTjtkgMUurQsoy2DGLqWNyWmHDLC4K9YxyjKYsUtpY3LaIQMsdmldQFkGM3YpbUxOO2SAxV2xjlGWwYxdShuT0w4ZYLFL6wLKMpixS2ljctohAyzuinWMsgxm7FLamJx2yACLXVoXUJbBjF1KG5PTDhlgcVesY5RlMGOX0sbktEMGWOzSuoCyDGbsUtqYnHbIAIu7Yh2jLIMZu5Q2JqcdMsBil9YFlGUwY5fSxuS0QwZY3BXrGGUZzNiltDE57ZABFru0LqAsgxm7lDYmpx0ywOKuWMcoy2DGLqWNyWmHDLDYpXUBZRnM2KW0MTntkAEWd8U6RlkGM3YpbUxOO2SAxS6tCyjLYMYupY3JaYcMsLgr1jHKMpixS2ljctohAyx2aV1AWQYzdiltTE47ZIDFXbGOUZbBjF1KG5PTDhlgsUvrAsoymLFLaWNy2iEDLO6KdYyyDGbsUtqYnHbIAItdWhdQlsGMXUobk9MOGWBxV6xjlGUwY5fSxuS0QwZY7NK6gLIMZuxS2picdsgAi7tiHaMsgxm7lDYmpx0ywGKX1gWUZTBjl9LG5LRDBljcFesYZRnM2KW0MTntkAEWu7QuoCyDGbuUNianHTLA4q5YxyjLYMYupY3JaYcMsNildQFlGczYpbQxOe2QARZ3xTpGWQYzdiltTE47ZIDFLq0LKMtgxi6ljclphwywuCvWMcoymLFLaWNy2iEDLHZpXUBZBjMKBatvGIdgGQzN9WqAbc+mkRUbljEaweJQZACdKoCnejhIY6jyq/5hC9X+vClYoytbj6Us1tbTvjpVAE8FNsMxZqjtr7Y/2EJtf94UavvTnsF6ijJVYpWWr04VwFOZwb9gk8ZQ+5/a/8AWav/jTaH2P9ozlL2HpSxWnvbVqQJ4KrAZjjFD7X9q/wNbqP2PN4Xa/2jPYD1FmSqxSstXpwrgqcxQxz/QRepzRStvzv53FA4Fxbq1vgccnjXAfg7DWtzKw6Lp9BC5C8dxYLd+Sgvuzx9L6+cwrMUxB2RU+VX/1f5q+6v9T+1/8bLmm0gCXhf1/aPDl/r+hUXU8Q+VoG1jwHXACCvlG0Ct4686/qrjL7SR+vun/v6r4w9/w9TxVx1/whjEHmTo0D9+iEORfg7DWhxz/Gfnf+RU0OK2POFAebc9KePEOAoDCVZIY2c1BkeUQEH2hAMlc0/KOE2uxc5qDI4ogYLsCQdK5p6UcZpci53VGBxRAgXZEw6UzD0p4zS5FjurMTiiBAqyJxwomXtSxmlyLXZWY3BECRRkTzhQMvekjNPkWuysxuCIEijInnCgZO5JGafJtdhZjcERJVCQPeFAydyTMk6Ta7GzGoMjSqAge8KBkrknZZwm12JnNQZHlEBB9oQDJXNPyjhNrsXOagyOKIGC7AkHSuaelHGaXIud1RgcUQIF2RMOlMw9KeM0uRY7qzE4ogQKsiccKJl7UsZpci12VmNwRAkUZE84UDL3pIzT5FrsrMbgiBIoyJ5woGTuSRmnybXYWY3BESVQkD3hQMnckzJOk2uxsxqDI0qgIHvCgZK5J2WcJtdiZzUGR5RAQfaEAyVzT8o4Ta7FzmoMjiiBguwJB0rmnpRxmlyLndUYHFECBdkTDpTMPSnjNLkWO6sxOKIECrInHCiZe1LGaXItdlZjcEQJFGRPOFAy96SM0+Ra7KzG4IgSKMiecKBk7kkZp8m12FmNwRElUJA94UDJ3JMyTpNrsbMagyNKoCB7woGSuSdlnCbXYmc1BkeUQEH2hAMlc0/KOE2uxc5qDI4ogYLsCQdK5p6UcZpci53VGBxRAgXZEw6UzD0p4zS5FjurMTiiBAqyJxwomXtSxmlyLXZWY3BECRRkTzhQMvekjNPkWuysxuCIEijInnCgZO5JGafJtdhZjcERJVCQPeFAydyTMk6Ta7GzGoMjSqAge8KBkrknZZwm12JnNQZHlEBB9oQDJXNPyjhNrsXOagyOKIGC7AkHSuaelHGaXIud1RgcUQIF2RMOlMw9KeM0uRY7qzE4ogQKsiccKJl7UsZpci12VmNwRAkUZE84UDL3pIzT5FrsrMbgiBIoyJ5woGTuSRmnyZW4vRVUmYxVSylwlrtHQD8qlyUQLr5aoCdDISvRC1yV35q17FFigVLtESUQLlX/aba80JMmCltL9AJX7a/an3yF7zGeXpRaD0kC4VLbX21//vW2ZTNFX5NoBa72P7X/qf1Pq9UMl9TWQw6BcKn9b+1/a//b32aKd01iKXD1/VPfP/X90994erHaekgSCJf6/vnvf//IirVsD9kI1ArcHJwlcPjKNDOYwbsJYi4vqgcIfA46IPwxZX284CKhU/KwxMAd+Bx0oMqHBqI2qv71HSs6iYoJFqXgsMTAHfgcdED4Yqrqv+pfVgjDMobfzRatJphbBwx8DjpQ7Q8aiNqo7a+2v9r+8g+GOv7rdKgJEXuNQTzEBz4HHZCMMVX7n9r/1P6n9j/SJ8SOodPFDEsM3IHPQQdq/wMNRG3U/rf2v4P639bEWstwYEiDvuwYZzS00EI7oPIYgSadAAAUpklEQVRlboFy0vkjKsLO4IBSh+dx5tQgMrdAOemMERVhZ3BAqcPzOHOVD1WMCt2S6K1HeREV4axJg5Q6PI/xdq1V8vVkjqgI55IMUurwPMZb5be1Jeke5UVUhLMmDVLq8DzGW/Xf1pake5QXURHOmjRIqcPzGG/Vf1tbku5RXkRFOGvSIKUOz2O8Vf9tbUm6R3kRFeGsSYOUOjyP8Vb9t7Ul6R7lRVSEsyYNUurwPMZb9d/WlqR7lBdREc6aNEipw/MYb9V/W1uS7lFeREU4a9IgpQ7PY7xV/21tSbpHeREV4axJg5Q6PI/xVv23tSXpHuVFVISzJg1S6vA8xlv139aWpHuUF1ERzpo0SKnD8xjv/57+fWJtsILM8WbgcNCBrEGBBuFJNJrFmrVMKc4o6vgycDjoQMwAeBCebEazWLOWKcUZpcqn482gIQcdiAoDPAhPNqNZrFnLlOKMUvVf9V/tL7QQBx2IDQbwIDzZjGaxZi1TijNKbX+1/dX2F1qIgw7EBgN4EJ5sRrNYs5YpxRmltr/a/mr7Cy3EQQdigwE8CE82o1msWcuU4oxS219tf7X9hRbioAOxwQAehCeb0SzWrGVKcUap7a+2vzdb+8PE2gTYdFiX5hbuQLTyAi45bAIusRREJNLGYls+mQsqGHO78waYOdtQmbPK1w6o6l80UBhHtb/a/tDH4X/tf6CG0N2HDlc7Dm83DrS7XU+XHLX/rf0vB4ApFMaBRH3/1/6n9r/1/YOuoL5/rJNkXHSUIdnCxywJLjnq+7e+f+v7t44/+joH9BR1/PVvHX/5irXQo8uTyd10hjp9e9mzO7mNtrTG8epZABiX4rLUDEVugcssTm6jLa1xvHoWAMaluCw1Q5Fb4DKLk9toS2scr54FgHEpLkvNUOQWuMzi5Dba0hrHq2cBYFyKy1IzFLkFLrM4uY22tMbx6lkAGJfistQMRW6ByyxObqMtrXG8ehYAxqW4LDVDkVvgMouT22hLaxyvngWAcSkuS81Q5Ba4zOLkNtrSGserZwFgXIrLUjMUuQUuszi5jba0xvHqWQAYl+Ky1AxFboHLLE5uoy2tcbx6FgDGpbgsNUORW+Ayi5PbaEtrHK+eBYBxKS5LzVDkFrjM4uQ22tIax6tnAWBcistSMxS5BS6zOLmNtrTG8epZABiX4rLUDEVugcssTm6jLa1xvHoWAMaluCw1Q5Fb4DKLk9toS2scr54FgHEpLkvNUOQWuMzi5Dba0hrHq2cBYFyKy1IzFLkFLrM4uY22tMbx6lkAGJfistQMRW6ByyxObqMtrXG8ehYAxqW4LDVDkVvgMouT22hLaxyvngWAcSkuS81Q5Ba4zOLkNtrSGserZwFgXIrLUjMUuQUuszi5jba0xvHqWQAYl+Ky1AxFboHLLE5uoy2tcbx6FgDGpbgsNUORW+Ayi5PbaEtrHK+eBYBxKS5LzVDkFrjM4uQ22tIax6tnAWBcistSMxS5BS6zOLmNtrTG8epZABiX4rLUDEVugcssTm6jLa1xvHoWAMaluCw1Q5Fb4DKLk9toS2scr54FgHEpLkvNUOQWuMzi5Dba0hrHq2cBYFyKy1IzFLkFLrM4uY22tMbx6lkAGJfistQMRW6ByyxObqMtrXG8ehYAxqW4LDVDkVvgMouT22hLaxyvngWAcSkuS81Q5Ba4zOLkNtrSGserZwFgXIrLUjMUuQUuszi5jba0xvHqWQAYl+Ky1AxFboHLLE5uoy2tcbx6FgDGpbgsNUORW+Ayi5PbaEtrHK+eBYBxKS5LzVDkFrjM4uQ22tIax6tnAWBcistSMxS5BS6zOLmNtrTG8epZABiX4rLUDEVugcssTm6jLa1xvHoWAMaluCw1Q5Fb4DKLkwXNU0FtFUdRRMikYLgGmtyQpPk5EmX7lDHlADHcERjpVqp8/YpX9R++OQVbUjBcA63aH5Qh+qjtr/Y/tf+t75/0UpWIfQP6heKdHOkK1/dvff+qE976/vU1H2GMoWC4Blodf0AZoo86/qjjD7xPincNbaO+f0qd1PdvWwN1/FHHH/9t44+wYq1l7sXggbSISFNAEeXZw/SQ0x1IxYS052sBHZaIqPJlCBxV4uqr+vefB64fB6r9iSqCPtxuWkCHJSJq+6vtDz9Bo0m4+dT+p/Y/aXrC7cOB2v+KKoI+vN20gA5LRNT+t/a/tf+t7x/0GcVEFvuQ+v6t79/6/pVm4a9MB+r4Q1QR9NEadniywxIRdfwx0fGHrlfTDpm9dKm+1G9HpGg+IATUNK8Mua/PfAZZrJzxqpRId9gB4w8IATXNK0OVr3pIvYgkTGMWG0eOsw5Nf87rgHEHhICa5pXB8lf5WU8GWayailelRLrDDhh/QAioaV4Zqv5VD9X+sp0YZLFpKMdKiXSHHTDugBBQ07wyVPtTPVT7y3ZikMWmoRwrJdIddsC4A0JATfPKUO1P9VDtL9uJQRabhnKslEh32AHjDggBNc0rQ7U/1UO1v2wnBllsGsqxUiLdYQeMOyAE1DSvDNX+VA/V/rKdGGSxaSjHSol0hx0w7oAQUNO8MlT7Uz1U+8t2YpDFpqEcKyXSHXbAuANCQE3zyvBGsD9Zsea36YDeYPS06iQHEo9FbXxv2pApLqNoh1qqrRFFynJmwASn2BmGSxtTKdiwnbKrfFipmulAHdljcIaqf9FArz4MmeIyCkZuOgRD1X+pTlNhUpFHbXxv2pApLqOqf1OPKbX2f7X91f6n9j/QgHcNDlgnkeI2vjdtyBSXURBiZYKh2p8owzSXH0TVf6EBV5DZDuL8CyvZljGluIyq/Zl6TLH1/V/7n9r/SmvwpuGANZIUt/G9aUOmuIxq/2PqMdW+ifufvBU0VMLqxdjqanGkGZxpGTKaxULpkAOiyvdO3HTG2DRkcaQZnGkZMprFQumQA6Lqv+o/vUTNZhibhVgcaQZnWoaMZrFQOuSAqPZX7a/anzUXj62FWOyEAGRahgJZQKF0yAFR219tf7X9tZtNff9BI5yfCj3FQB0Nx1X7H+ixo8SAqP1v7X9r/zuwbwktZSBP7X8Ga0koHXJA1P7nn9r/5Im1aK5B34Jup523S+hinDkDYBrCWybtBM94g9qFtNPG1/O6H8jqeQBU+VX/1f5q+ys+aYcOot2JtNPO2iV0Mc6cATDV/q/2//X9F5eU5ObRea0PbFRdQhcTyjWwtr/a/9T3f33/1/e/9Yhl3O5E22nn7hK6GGfOAJjq+KeOf+r4p45/cqcQoHYn0k47a5fQxThzBsD0r+5/yok1EahfqOQuBsxi+h2GWigYEGSypMS8EIXmlPBGFoISUeEq35tb1X/vLHK0FxsbqS21LMqSEvNS7a+2v9r/1P4XHQE6WesepGPQzqG+f+r7114pMBBYSM8qgmgvxqy21LIoS0rMS33/1PdPff/U9w86gvr+qe9fNQO+FjTgFVF//0rTSPqAQur716yjG8u4wk0HXUpAEG1JiXmp449/1/hDJ9bsAYjq9VKiQiqAgX1koJVlcSilRIVUAAP7yEAry+JQSokKqQAG9pGBVpbFoZQSFVIBDOwjA60si0MpJSqkAhjYRwZaWRaHUkpUSAUwsI8MtLIsDqWUqJAKYGAfGWhlWRxKKVEhFcDAPjLQyrI4lFKiQiqAgX1koJVlcSilRIVUAAP7yEAry+JQSokKqQAG9pGBVpbFoZQSFVIBDOwjA60si0MpJSqkAhjYRwZaWRaHUkpUSAUwsI8MtLIsDqWUqJAKYGAfGWhlWRxKKVEhFcDAPjLQyrI4lFKiQiqAgX1koJVlcSilRIVUAAP7yEAry+JQSokKqQAG9pGBVpbFoZQSFVIBDOwjA60si0MpJSqkAhjYRwZaWRaHUkpUSAUwsI8MtLIsDqWUqJAKYGAfGWhlWRxKKVEhFcDAPjLQyrI4lFKiQiqAgX1koJVlcSilRIVUAAP7yEAry+JQSokKqQAG9pGBVpbFoZQSFVIBDOwjA60si0MpJSqkAhjYRwZaWRaHUkpUSAUwsI8MtLIsDqWUqJAKYGAfGWhlWRxKKVEhFcDAPjLQyrI4lFKiQiqAgX1koJVlcSilRIVUAAP7yEAry+JQSokKqQAG9pGBVpbFoZQSFVIBDOwjA60si0MpJSqkAhjYRwZaWRaHUkpUSAUwsI8MtLIsDqWUqJAKYGDvgOWKNSf35O5BCbvgA9FBB8qJ0yQjU11oAHqoPagqHxoQvQTlOOhA1T/UxFWAWSMlLHZUXCJnIvSghCL4QHTQAZebMVV+1EWh+qzUEj0og+AD0UEHqv6hyWr/ZZvL1lGamaZ6qD0o4RV8IDroQLW/an+1/cEGcosoYW1z8Ro5E74HJRTBB6KDDrjcjKnyoy6i5hXuofagqv6hAdFLUI6DDlT7g5rq+KPsc7J1aIsrrz3UHpTkEXwgOuhAtb9qf7X9wQZyiyjhsu0xFTkTtQclFMEHYgIxsTZhaAjrT23FZWBJJWYxkWawxc7cASJHhI1xCDsuqvyqf7WHfgsZ/GLu4zfL6pbYx13tr7a/2v/U/qfbW1g/Yr2GxcQbbLHxduPIEWHjrP1P7X9q/1P7H+0P+nuIOv4ZNDHTpy/rWbsa7eOu/W/tf2v/W/vfbm9h/Yj1GhYTb7DFxtuNI0eEjbP2P/+N/U9YsZYeukTRACKexhBpZhyvPfbcAIr95FauMDhXlucoB1670MDpuQFU+TpgU/UkzUjkWqr6L+ySmoq6Uc29nqvnBlDtr9offzBoSJYhkVsJSBFPzkjTnK/n6rkBVPur9lftz1pPbGfeSnJ7c5QDlvF1xZ4bQG1/tf3V9mfNJ7UMibyV1PZn73tXiQOmuNcVe24Atf+p/U/tf6z5pJYhkbeS2v/U/gc2gFbiJuGAGU5vHCbWSnonOxCxI45+fZU35DBQYszI4sZyA6YcYyhlxlSHA4gqP78Iqv6hi2RUaivBYgyUuNpfbX+1/6n977Bvl0gU2LoQJwBR3z/1/WPtqL5/6/u3jj+0d9S+MvSYBkpcx191/FXHX/beiC3GxxY9gDUhJwFRxx91/GF2VMcfb+zxh0+sdV5/8cl5685Ahz+TAFm3YHEiWtJi52OO1uunys+WU+hWEx19FTymYIur/kUDpg6Lq/1BLdpVd+yptr/a/uyXY9G3aKJjLwWPNTCLE9GSFtf2B8XU9kfr6NhT7X9q/1P7n9RxdqNOeylYrIO1OBEtaXHtf6GY2v/SOjr2VPvf2v/W/jd1nN2o014KFutgLU5ES1pc+18o5r+z/x1FF2upbm4a/tyBgQM2rAyyypsanNWBmEeQLUQrmVl6CBFV5Vf9V/ur7Y8dRuwXpAMJlw6thWglJafgeggRVfuf2v/U/qf2P+wwYr8Qup7cl0Rki7mVzHl6CBFV+5/a/9T+p/Y/7DBivxC7ml5ai7mVlOyC6yFEVO1/av9T+5/a//T2MaETin1G7lwyQ4cOkuB6CBH1Zu1/fMWaqiBWiZiYjrByF+SEsjzKjWtcv2o8A7+GtGXEdISrfNFAj0qq/lUpfq32150Nr+1vwNfIdoOK6QjX/qf2P9BAj0kYUkm41v6n9j86Lk+dBu0GdtG7GqBtUDEd4VRUD6ranyrFr7X91fZX21/uewjV/qf2v/X9U7YJSbVfqDEd4ZS1B1Xfv6oUv/6Pvn9lYi3OCqph0HDS20g05GoSi7L3VMaWmGR2OSIjf4X0Nmb28/mrQJUvyoK+qv7FgMTI5CK/Y4krrU1pwtv/SzeZFPiq/amaWtfa/mr/Y18la//L/oSh9r+iBuletY9taSb1tkoT3tr/ZrtRhWS1UDf1/RO14nB9/9T3T33/xFEtm0Z9/0gHIa8XfcfwyhA1Nap45yifcoWrZMSl9r9BKRms/W/tf2v/G3sVto1/rP/VFWvSH2mn5GAoOzfBwRDzMcjtFAnFx2uH7EJTN9lhiLn74SJLkejyd8hEjJKLdtMdhm4ZbUyRpUi0OTs/XRVR5fMhVP1TCxOxn65FtWxqIvk7ZCKq/VX7q+2v9j/WFbCTsbEG4YmEok8pEt2MHXLtf2r/W98/aCh1/ONdAbuN2v90O88BmKJPLRLdDB2yK73an6uCaqv21zWeAZjCpopEN0OH7Eqv9ueqoNqq/XWNZwCmsKki0c3QIbvS/3n2Nwou1rhYLwSRktLhFhI6Usmk6QFEKxXkIQyc8tkwVkqfC0CjWemMcYcDRCh6ALHKVw1APVX/1f5q+7OeLvUX6FSiVXhj8Tca+Rhq/1P738IMxCp4UUtK9mRm5dQEAF/739jSTFG1/UWtqLWYbpgizFD7n9r/FGYgVsGLWkuymWg6zqFMtf+JLc0UVfufqBU1GdMNU4QZav9T+5/CDMQqeFFrSTYTTcc5lKn2P7GlmaJq/xO1oiZjumGKMMObr//BirUJuPswU4c6tEOsapv2WtJF/qArzatUuRaMueQB6MwwEajIzwSD11Opci0YlY3XAejMMBGoyM8EQ5Wveohdc6GoREY0AJ0ZJgIV+av+VVvV/pLVqHXItTCUbFQD0JlhIlCRnwmGqn/VQ23/YgxiI4WhJPUgGoDODBOBivxMMFT7Uz1U+xNjEBspDCWpB9EAdGaYCFTkZ4Kh2p/qodqfGIPYSGEoST2IBqAzw0SgIj8TDNX+VA/V/sQYxEYKQ0nqQTQAnRkmAhX5mWCo9qd6qPYnxiA2UhhKUg+iAejMMBGoyM8EQ7U/1cO/yP7y4QWF9pNMi8zZJXj6fNEZW1+ci+2bnQ05MmNAJrDKR0NAS6j6r/YHM/A+sdtSOpjcrGr7634dCerKigrIBNb+p/Y/tf+t75/6/q3v3/r+reOP7ghhICYPK+r4q46/8p6RjsFkQ+mQ/LCJ+v6p75/6/nlTvH96toKmdi0/Jgn3/4wfrh+QSUDrHnqzp9zDdRRVflJ9rwKHn8Wmei30Zq/6F+VW+xv8oqrtr7a//2+3DpEAAIEYBv7/1xSGc0XiVuMyXNLjjioQ/olfO5k88O/U5wFJf/Qn16O/+ptvUD1qf1wwlY7+6m+/m11e+8P+GAJVH/bX7/21AGcipvxpXSpfAAAAAElFTkSuQmCC)

## **🔪 동적 형태 (Dynamic Shapes)**


`jax.jit`, `jax.vmap`, `jax.grad` 등과 같은 변환 내에서 사용되는 JAX 코드는 모든 출력 배열과 중간 배열이 정적 모양을 가져야 합니다. 즉, 모양은 다른 배열 내의 값에 의존하지 않아야 합니다.

예를 들어, `jnp.nansum`의 버전을 직접 구현하려면 다음과 같이 시작할 수 있습니다


```python
def nansum(x):
  mask = ~jnp.isnan(x)  # boolean mask selecting non-nan values
  x_without_nans = x[mask]
  return x_without_nans.sum()
```

JIT 및 기타 변환 외부에서는 예상대로 작동합니다.


```python
x = jnp.array([1, 2, jnp.nan, 3, 4])
print(nansum(x))
```

`jax.jit` 또는 다른 변환을 이 함수에 적용하려고 하면 오류가 발생합니다.


```python
jax.jit(nansum)(x)
```

문제는 `x_without_nans`의 크기가 `x` 내의 값에 따라 동적으로 결정되다는 점입니다. 종종 JAX에서는 다른 방법을 통해 동적으로 크기 조정된 배열의 필요성을 해결할 수 있습니다. 예를 들어 `jnp.where`의 3개 인수 형식을 사용하여 NaN 값을 0으로 대체함으로써 동적 모양을 피하면서도 동일한 결과를 계산할 수 있습니다.


```python
@jax.jit
def nansum_2(x):
  mask = ~jnp.isnan(x)  # boolean mask selecting non-nan values
  return jnp.where(mask, x, 0).sum()

print(nansum_2(x))
```

동적 모양의 배열이 발생하는 다른 상황에서도 유사한 트릭을 사용할 수 있습니다.

## **🔪 NaNs**


### NaNs 디버깅

함수 또는 그래디언트에서 NaN이 발생하는 위치를 추적하려면 다음과 같이 NaN 검사기를 켤 수 있습니다.

- `JAX_DEBUG_NANS=True` 환경 변수 설정
- 메인 파일 상단에  `from jax.config import config` 와 `config.update("jax_debug_nans",True)` 를 추가하세요.
- 메인 파일에 `from jax.config import config` 와 `config.parse_flags_with_absl()` 를 추가하세요. 그런 다음 명령 줄 플래그에 `-jax_debug_nans=True` 을 이용하여 옵션을 설정하세요.

이로 인해 NaN 생성 즉시 계산 오류가 발생합니다. 이 옵션을 켜면 XLA에서 생성된 모든 부동 소수점 유형 값에 nan 검사가 추가됩니다. 즉, `@jit`에 속하지 않는 모든 기본 작업에 대해 값을 다시 호스트로 가져와 ndarry로 검사합니다. `@jit` 하위에 있는 코드의 경우 모든 `@jit`함수의 출력을 검사하고 NaN이 있는 경우 최적화되지 않은 op-by-op 모드에서 함수를 다시 실행하여 한 번에 한 레벨씩 `@jit`을 제거합니다.

`@jit`에서만 발생하지만 최적화되지 않은 모드에서는 생성되지 않는 nan과 같은 까다로운 상황이 발생할 수 있습니다. 이 경우 경고 메시지가 출력되지만 코드는 계속 실행됩니다.

그래디언트 평가의 역방향 패스에서 nans가 생성되는 경우 스택 추적에서 몇 프레임 위로 예외가 발생하면 backward_pass 함수 내부로 진입합니다. 이 함수는 기본적으로 기본 작업 시퀀스를 역순으로 수행하는 간단한 jaxpr 인터프리터입니다. 아래 예에서 `env JAX_DEBUG_NANS=True ipython` 명령줄을 사용하여 ipython repl을 시작한 후, 다음을 실행했습니다.


```python
import jax.numpy as jnp
```


```python
jnp.divide(0., 0.)
```

생성된 NaN이 잡혔습니다. `%debug`를 실행하면 사후 디버거를 얻을 수 있습니다. 이것은 아래 예제와 같이 `@jit` 으로 감싸진 함수에서도 작동합니다.


```python
In [1]: import jax.numpy as jnp

In [2]: jnp.divide(0., 0.)
---------------------------------------------------------------------------
FloatingPointError                        Traceback (most recent call last)
<ipython-input-2-f2e2c413b437> in <module>()
----> 1 jnp.divide(0., 0.)

.../jax/jax/numpy/lax_numpy.pyc in divide(x1, x2)
    343     return floor_divide(x1, x2)
    344   else:
--> 345     return true_divide(x1, x2)
    346
    347

.../jax/jax/numpy/lax_numpy.pyc in true_divide(x1, x2)
    332   x1, x2 = _promote_shapes(x1, x2)
    333   return lax.div(lax.convert_element_type(x1, result_dtype),
--> 334                  lax.convert_element_type(x2, result_dtype))
    335
    336

.../jax/jax/lax.pyc in div(x, y)
    244 def div(x, y):
    245   r"""Elementwise division: :math:`x \over y`."""
--> 246   return div_p.bind(x, y)
    247
    248 def rem(x, y):

... stack trace ...

.../jax/jax/interpreters/xla.pyc in handle_result(device_buffer)
    103         py_val = device_buffer.to_py()
    104         if np.any(np.isnan(py_val)):
--> 105           raise FloatingPointError("invalid value")
    106         else:
    107           return DeviceArray(device_buffer, *result_shape)

FloatingPointError: invalid value
```


```python
@jit
def f(x, y):
    a = x * y
    b = (x + y) / (x - y)
    c = a + 2
    return a + b * c
```


```python
In [4]: from jax import jit

In [5]: @jit
   ...: def f(x, y):
   ...:     a = x * y
   ...:     b = (x + y) / (x - y)
   ...:     c = a + 2
   ...:     return a + b * c
   ...:

In [6]: x = jnp.array([2., 0.])

In [7]: y = jnp.array([3., 0.])

In [8]: f(x, y)
Invalid value encountered in the output of a jit function. Calling the de-optimized version.
---------------------------------------------------------------------------
FloatingPointError                        Traceback (most recent call last)
<ipython-input-8-811b7ddb3300> in <module>()
----> 1 f(x, y)

 ... stack trace ...

<ipython-input-5-619b39acbaac> in f(x, y)
      2 def f(x, y):
      3     a = x * y
----> 4     b = (x + y) / (x - y)
      5     c = a + 2
      6     return a + b * c

.../jax/jax/numpy/lax_numpy.pyc in divide(x1, x2)
    343     return floor_divide(x1, x2)
    344   else:
--> 345     return true_divide(x1, x2)
    346
    347

.../jax/jax/numpy/lax_numpy.pyc in true_divide(x1, x2)
    332   x1, x2 = _promote_shapes(x1, x2)
    333   return lax.div(lax.convert_element_type(x1, result_dtype),
--> 334                  lax.convert_element_type(x2, result_dtype))
    335
    336

.../jax/jax/lax.pyc in div(x, y)
    244 def div(x, y):
    245   r"""Elementwise division: :math:`x \over y`."""
--> 246   return div_p.bind(x, y)
    247
    248 def rem(x, y):

 ... stack trace ...
```

이 코드는 `@jit` 함수의 출력에서 nan을 발견하면 최적화되지 않은 코드를 호출하므로 여전히 명확한 스택을 추적할 수 있습니다. 그리고 `%debug`로 사후 디버거를 실행하여 오류를 파악하기 위해 모든 값을 검사할 수 있습니다.

⚠️ 디버깅하지 않는 경우 NaN 검사기를 켜서는 안 됩니다. 많은 장치-호스트 왕복 및 성능 저하가 발생할 수 있기 때문입니다!

⚠️ NaN 검사기는 pmap에서 작동하지 않습니다. pmap 코드에서 nans를 디버깅하려면 pmap을 vmap으로 교체해야 합니다.

## **🔪 Double (64bit) 정밀도 (Double (64bit) precision)**


현재 JAX는 기본적으로 NumPy API가 피연산자를 강제로 더블형(double)으로 변환하는 경향을 완화하기 위해 단정밀도(single-precision) 숫자를 강제로 적용하고 있습니다. 이는 많은 머신러닝 애플리케이션에서 원하는 동작이지만, 이는 예상치 못한 결과를 초래할 수 있습니다!


```python
x = random.uniform(random.PRNGKey(0), (1000,), dtype=jnp.float64)
x.dtype
```

Double 정밀도의 숫자를 사용하려면, 시작 시 `jax_enable_x64` 구성 변수를 설정해야 합니다.

이를 수행하기 위한 몇가지 방법이 있습니다.

1. `JAX_ENABLE_X64=True`로 설정하여 64비트 모드를 사용 가능하게 할 수 있습니다.
2. 시작 시에 `jax_enable_x64` 구성 플래그를 수동으로 설정할 수 있습니다:


```python
# again, this only works on startup!
from jax.config import config
config.update("jax_enable_x64", True)
```

3. `absl.app.run(main)`을 사용하여 명령줄 플래그를 파싱할 수 있습니다.


```python
from jax.config import config
config.config_with_absl()
```

4. `absl.app.run(main)`를 사용하지 않고 JAX가 absl 파싱을 수행하게 하려면 다음과 사용하면 됩니다:


```python
from jax.config import config
if __name__ == '__main__':
  # calls config.config_with_absl() *and* runs absl parsing
  config.parse_flags_with_absl()
```

 #2-#4는 JAX의 모든 구성 옵션에서 작동합니다.

그런 다음 x64 모드가 활성화되었는지 확인할 수 있습니다.


```python
import jax.numpy as jnp
from jax import random
x = random.uniform(random.PRNGKey(0), (1000,), dtype=jnp.float64)
x.dtype # --> dtype('float64')
```

### 주의사항

⚠️ XLA는 모든 백엔드에서 64비트 컨볼루션을 지원하지 않습니다!

## **🔪 NumPy에서 유래된 여러가지 파생들 (Miscellaneous Divergences from NumPy)**


`jax.numpy`는 Numpy API 동작을 유사하게 동작하도록 설계되었지만, 동작이 다른 코너케이스들이 있습니다. 이러한 많은 경우들은 위 섹션에서 자세히 설명합니다. 여기에는 API가 다르게 동작하는 몇 가지 다른 사례들을 나엻합니다.

- 바이너리 작업의 경우 JAX의 유형 승격 규칙은 NumPy에서 사용하는 규칙과 다소 다릅니다. 자세한 내용은 [Type Promotion Semantics](https://jax.readthedocs.io/en/latest/type_promotion.html)를 참조하십시오.
- 안전하지 않은 유형 캐스팅(즉, 대상 dtype이 입력 값을 나타낼 수 없는 캐스팅)를 수행할 때 JAX의 동작은 백엔드에 따라 다를 수 있으며 일반적으로 NumPy의 동작과 다를 수 있습니다. Numpy는 캐스팅 인수를 통해 이러한 시나리오에서 결과를 제어할 수 있습니다([np.ndarray.astype 참조](https://numpy.org/devdocs/reference/generated/numpy.ndarray.astype.html)). JAX는 [XLA:ConvertElementType](http://tensorflow.org/xla/operation_semantics#convertelementtype)의 동작을 직접 상속하는 대신 이러한 구성을 제공하지 않습니다.

여기에 NumPy와 JAX의 안전하지 않은 캐스팅에 따른 다른 결과에 대한 예제입니다.


```python
np.arange(254.0, 258.0).astype('uint8')
array([254, 255,   0,   1], dtype=uint8)

jnp.arange(254.0, 258.0).astype('uint8')
DeviceArray([254, 255, 255, 255], dtype=uint8)
```

이러한 종류의 불일치는 일반적으로 부동에서 정수 유형으로 또는 그 반대로 극단적인 값을 캐스팅할 때 발생합니다.

## Fin.

여기에서 다루지 않은 몇몇 당신을 화나게 하는 원인들을 제보해주시면 해당 튜토리얼 페이지에 반영하겠습니다.


```python

```