Update visualization

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

INSTRUCTIONS.md

@@ -0,0 +1,15 @@
+# M4 Visualization - NOT UP TO DATE (August 16th). ASK VICTOR
+
+For visualizations, we have a main [app](https://huggingface.co/spaces/HuggingFaceM4/m4-demo) which calls multiple child apps to retrieve generations via [Gradio API](https://gradio.app/using-blocks-like-functions/). This allows us to parallelize calls to multiple models at the same time instead of running them sequentially.
+
+
+## How to?
+
+The process of adding a model to the main space:
+
+- Use `huggingface-cli login` to login with an auth token that has a read/write access to the `HuggingFaceM4` org on the hub.
+- Use `./upload_checkpoint_to_hub_gcs.sh` script to upload a checkpoint from GCP store to the hub. An example command to upload checkpoint for step 3000 from `tr_121ter` to the hub: `./m4/visualization/upload_checkpoint_to_hub_gcs.sh gs://hf-science-m4-cold/local_experiment_dir/tr_121ter/opt_step-3000`. This will create model repo under the `HuggingFaceM4` repo on the hub. If you are on the cluster, use `./upload_checkpoint_to_hub_s3.sh` instead. I recommend being on a compute node to avoid disk space issues (uploading to the hub consists in downloading locally the checkpoint, creating a repo on the hub, copying it locally, filling it with the weights and commiting the weights to the hub repo).
+- [MANUAL] Go to the hub, create a repo of type `space` with the same name as the model. In the space's settings, add a secret `HF_AUTH_TOKEN` with a token which has read access to the `HuggingFaceM4` repo. This step can be potentially automated in the future.
+- [MANUAL] Edit `m4/visualization/app.py`'s three dictionary to include your model in the existing formats of those dictionaries.
+- Run `m4/visualization/sync-repo.sh <name_of_the_space_on_the_hub>` to sync the repo with the local setting. This will automatically update the space to have the latest code as in the `m4/visualization/app.py`.
+- Run `m4/visualization/sync-repo.sh main` to update the main repo as well with the new model.

README.md

@@ -1,10 +1,10 @@
 ---
-title: m4-dialogue
+title: idefics_playground
 emoji: 🐨
 colorFrom: red
 colorTo: indigo
 sdk: gradio
-sdk_version: 3.40.0
+sdk_version: 3.40.1
 app_file: app_dialogue.py
 pinned: false
 ---

app_dialogue.py

@@ -1,37 +1,44 @@
-import base64
 import copy
+import hashlib
 import logging
 import os
 import re
-from io import BytesIO
-from typing import List, Optional, Tuple, Union
+from pathlib import Path
+from typing import List, Optional, Tuple
 from urllib.parse import urlparse
 
 import gradio as gr
 import PIL
-import uuid
-import requests
-from accelerate.utils import get_max_memory, set_seed
-from PIL import Image
-from transformers import AutoConfig, AutoProcessor, IdeficsForVisionText2Text
+from gradio import processing_utils
+from gradio_client.client import DEFAULT_TEMP_DIR
+from text_generation import Client
+from transformers import AutoProcessor
 
 
-MODELS = [
+MODELS = [  # TODO uncomment
     "HuggingFaceM4/idefics-9b-instruct",
-    "HuggingFaceM4/idefics-80b-instruct",
+    # "HuggingFaceM4/idefics-80b-instruct",
 ]
 
+API_PATHS = {  # TODO uncomment + correct endpoint
+    # "HuggingFaceM4/idefics-9b-instruct": "https://api-inference.huggingface.co/models/HuggingFaceM4/idefics-9b-instruct",
+    "HuggingFaceM4/idefics-9b-instruct": os.getenv("TEMP_DEPLOY_ENDPOINT"),
+    "HuggingFaceM4/idefics-80b-instruct": (
+        "https://api-inference.huggingface.co/models/HuggingFaceM4/idefics-80b-instruct"
+    ),
+}
+
 SYSTEM_PROMPT = [
     """The following is a conversation between a highly knowledgeable and intelligent visual AI assistant, called Assistant, and a human user, called User. In the following interactions, User and Assistant will converse in natural language, and Assistant will do its best to answer User’s questions. Assistant has the ability to perceive images and reason about the content of visual inputs. Assistant was built to be respectful, polite and inclusive. It knows a lot, and always tells the truth. When prompted with an image, it does not make up facts.
 
 The conversation begins:""",
-    """\nUser:<fake_token_around_image><image:https://i1.pickpik.com/photos/515/906/355/kittens-cats-pet-cute-preview.jpg><fake_token_around_image>Describe this image.<end_of_utterance>""",
+    """\nUser:""",
+    "https://i1.pickpik.com/photos/515/906/355/kittens-cats-pet-cute-preview.jpg",
+    "Describe this image.<end_of_utterance>",
     """\nAssistant: Five kittens are standing together in the center of the photograph. From the left to right, there is one orange kitten, two kittens white and black stripes, and two brown kittens with an orange head. They are in bright green grass and it looks like they are moving forward.<end_of_utterance>""",
-    (
-        "\nUser:How about this"
-        " image?<fake_token_around_image><image:https://cdn.pixabay.com/photo/2017/09/25/13/12/puppy-2785074_1280.jpg><fake_token_around_image>Can"
-        " you describe it too?<end_of_utterance>"
-    ),
+    "\nUser:How about this image?",
+    "https://cdn.pixabay.com/photo/2017/09/25/13/12/puppy-2785074_1280.jpg",
+    "Can you describe it too?<end_of_utterance>",
     """\nAssistant: A dog is lying on the floor, looking at the camera. It is looking directly at you. The dog has a white body and brown patches on its face and ears. Its eyes are dark. Its nose is black, and it has long, floppy ears, white paws, long fur, big eyes.<end_of_utterance>""",
     "\nUser: What kind of breed is it?<end_of_utterance>",
     """\nAssistant: It looks like a Cavalier King Charles Spaniel. These breeds are known for their gentle, affectionate nature. Their long ears and big, brown eyes give them a sweet, expressive face. Cavaliers are small dogs weighing between 13 and 20 pounds. They have a silky, medium-length coat that comes in various colors, including black and tan, tricolor, red and white, or black.<end_of_utterance>""",
@@ -39,176 +46,88 @@ The conversation begins:""",
     """\nAssistant: One specific characteristic of the Cavalier King Charles Spaniel is its friendly and affectionate nature. This breed is known for being extremely sociable and forming strong bonds with their owners. They are often described as "velcro dogs" because they love to be close to their human companions, whether it's sitting on their laps, cuddling on the couch, or simply following them around the house.<end_of_utterance>""",
     "\nUser: ghjkhjabnufs<end_of_utterance>",
     """\nAssistant: That doesn’t seem to be a word. Could you ask me another way?<end_of_utterance>""",
-    "\nUser: Do you like Cavalier King Charles Spaniel?<end_of_utterance>\n",
+    "\nUser: Do you like Cavalier King Charles Spaniel?<end_of_utterance>",
     """\nAssistant: I do not have personal opinions as I’m just a computer program. However, cavaliers are known for being excellent family pets due to their gentle and patient demeanor, making them great with children and other pets. Their affectionate nature also makes them ideal therapy dogs, as they can provide comfort and emotional support to those in need.<end_of_utterance>""",
-    (
-        "\nUser: How many dogs do you see in this"
-        " image?<fake_token_around_image><image:https://i.dailymail.co.uk/i/pix/2011/07/01/article-2010308-0CD22A8300000578-496_634x414.jpg><fake_token_around_image><end_of_utterance>"
-    ),
+    "\nUser: How many dogs do you see in this image?",
+    "https://i.dailymail.co.uk/i/pix/2011/07/01/article-2010308-0CD22A8300000578-496_634x414.jpg",
+    "<end_of_utterance>",
     """\nAssistant: There is no dogs in this image. The picture shows a tennis player jumping to volley the ball.<end_of_utterance>""",
 ]
 
-BAN_TOKENS = "<image>;<fake_token_around_image>"
-EOS_TOKENS = "</s>;<end_of_utterance>;User"
+BAN_TOKENS = (  # For documentation puporse. We are not using this list, it is hardcoded inside `idefics_causal_lm.py` inside TGI.
+    "<image>;<fake_token_around_image>"
+)
+EOS_STRINGS = ["<end_of_utterance>", "\nUser:"]
+STOP_SUSPECT_LIST = []
 
+GRADIO_LINK = "https://huggingfacem4-idefics_playground.hf.space"
+API_TOKEN = os.getenv("HF_AUTH_TOKEN")
+IDEFICS_LOGO = "https://huggingface.co/spaces/HuggingFaceM4/idefics_playground/resolve/main/IDEFICS_logo.png"
 
-TOKENIZER_FAST = True
-MAX_SEQ_LEN = 2048
+PROCESSOR = AutoProcessor.from_pretrained(
+    "HuggingFaceM4/idefics-9b-instruct",
+    token=API_TOKEN,
+)
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger()
 
-SEED = 38
-set_seed(38)
-
 
-def convert_to_rgb_pil(image):
-    """
-    Convert a PIL Image object to RGB mode and save it locally.
-
-    The function ensures that images with transparency (alpha channel)
-    are overlaid on a white background before saving.
-
-    Parameters:
-    - image (PIL.Image.Image): The input image to be processed.
-
-    Returns:
-    - str: The path to the saved RGB image.
-
-    """
-    # Save the converted image to a temporary file
-    filename = f"{uuid.uuid4()}.jpg"
-    local_path = f"{filename}"
-    
-    if image.mode != "RGB":
-        image_rgba = image.convert("RGBA")
-        background = Image.new("RGBA", image_rgba.size, (255, 255, 255))
-        alpha_composite = Image.alpha_composite(background, image_rgba)
-        alpha_composite = alpha_composite.convert("RGB")
-        alpha_composite.save(local_path)
-    else:
-        image.save(local_path)
-        
-    return local_path  # Return the path to the saved image
-    
-
-def convert_to_rgb(filepath_or_pilimg):
-    """
-    Convert an image to RGB mode, handling transparency for non-RGB images.
+# Monkey patch adapted from gradio.components.image.Image - mostly to make the `save` step optional in `pil_to_temp_file`
+def hash_bytes(bytes: bytes):
+    sha1 = hashlib.sha1()
+    sha1.update(bytes)
+    return sha1.hexdigest()
 
-    This function can accept either a file path to an image or a PIL Image object.
-    For transparent images, the function overlays the image onto a white background 
-    to handle the transparency before converting it to RGB mode.
 
-    Parameters:
-    - filepath_or_pilimg (str or PIL.Image.Image): The file path to an image or a PIL 
-                                                  Image object to be processed.
+def pil_to_temp_file(img: PIL.Image.Image, dir: str = DEFAULT_TEMP_DIR, format: str = "png") -> str:
+    """Save a PIL image into a temp file"""
+    bytes_data = processing_utils.encode_pil_to_bytes(img, format)
+    temp_dir = Path(dir) / hash_bytes(bytes_data)
+    temp_dir.mkdir(exist_ok=True, parents=True)
+    filename = str(temp_dir / f"image.{format}")
+    if not os.path.exists(filename):
+        img.save(filename, pnginfo=processing_utils.get_pil_metadata(img))
+    return filename
 
-    Returns:
-    - str: If the input was a file path, the return will be the path to the original 
-           image (if it's already in RGB) or the path to the saved RGB image.
-           If the input was a PIL Image object, the return will be the path to the saved 
-           RGB image.
 
-    """
-    # `image.convert("RGB")` would only work for .jpg images, as it creates a wrong background
-    # for transparent images. The call to `alpha_composite` handles this case
-    
-    if isinstance(filepath_or_pilimg, PIL.Image.Image):
-        return convert_to_rgb_pil(filepath_or_pilimg)
-        
-    with Image.open(filepath_or_pilimg) as image:
-        # Check if the image is already in the RGB format
-        if image.mode == "RGB":
-            return filepath_or_pilimg  # If already in RGB, return the original path
-
-        # Convert image to RGBA
-        image_rgba = image.convert("RGBA")
-        
-        # Create a white background image of the same size
-        background = Image.new("RGBA", image_rgba.size, (255, 255, 255))
-        
-        # Composite the original image over the white background
-        alpha_composite = Image.alpha_composite(background, image_rgba)
-        
-        # Convert the composited image to RGB format
-        alpha_composite = alpha_composite.convert("RGB")
-
-        # Save the converted image to a temporary file
-        filename = f"{uuid.uuid4()}.jpg"
-        local_path = f"{filename}"
-        alpha_composite.save(local_path)
-
-        return local_path  # Return the path to the saved image
-
-        
-def tmp_convert_to_rgb(image):
-    # `image.convert("RGB")` would only work for .jpg images, as it creates a wrong background
-    # for transparent images. The call to `alpha_composite` handles this case
-    if image.mode == "RGB":
-        return image
-
-    image_rgba = image.convert("RGBA")
-    background = Image.new("RGBA", image_rgba.size, (255, 255, 255))
-    alpha_composite = Image.alpha_composite(background, image_rgba)
-    alpha_composite = alpha_composite.convert("RGB")
-    return alpha_composite
-
-
-# Conversion between PIL Image <-> base64 <-> Markdown utils
-def tmp_pil_to_base64(pil_image):
-    """
-    Convert an PIL image into base64 string representation
-    """
-    buffered = BytesIO()
-    pil_image.save(buffered, format="JPEG")  # You can change the format as per your image type
-    encoded_image = base64.b64encode(buffered.getvalue()).decode("utf-8")
-    return encoded_image
+def add_file(file):
+    return file.name
 
 
-def tmp_pil_to_markdown_im(image):
+# Utils to handle the image markdown display logic
+def split_str_on_im_markdown(string: str) -> List[str]:
     """
-    Convert a PIL image into markdown filled with the base64 string representation.
+    Extract from a string (typically the user prompt string) the potential images from markdown
+    Examples:
+    - `User:![](https://favurl.com/chicken_on_money.png)Describe this image.` would become `["User:", "https://favurl.com/chicken_on_money.png", "Describe this image."]`
+    - `User:![](/file=/my_temp/chicken_on_money.png)Describe this image.` would become `["User:", "/my_temp/chicken_on_money.png", "Describe this image."]`
     """
-    img_b64_str = pil_to_base64(image)
-    img_str = f'<img src="data:image/png;base64,{img_b64_str}" />'
-    return img_str
-
-
-def tmp_base64_to_pil(encoded_image):
-    decoded_image = base64.b64decode(encoded_image)
-    pil_image = Image.open(BytesIO(decoded_image))
-    return pil_image
-
-
-def tmp_im_markdown_to_pil(im_markdown_str):
-    pattern = r'<img src="data:image/png;base64,([^"]+)" />'
-    match = re.search(pattern, im_markdown_str)
-    img_b64_str = match.group(1)
-    return base64_to_pil(img_b64_str)
-
-
-def split_str_on_im_markdown(string_with_potential_im_markdown):
+    IMAGES_PATTERN = re.compile(r"!\[[^\]]*\]\((.*?)\s*(\"(?:.*[^\"])\")?\s*\)")
+    parts = []
+    cursor = 0
+    for pattern in IMAGES_PATTERN.finditer(string):
+        start = pattern.start()
+        if start != cursor:
+            parts.append(string[cursor:start])
+        image_url = pattern.group(1)
+        if image_url.startswith("/file="):
+            image_url = image_url[6:]  # Remove the 'file=' prefix
+        parts.append(image_url)
+        cursor = pattern.end()
+    if cursor != len(string):
+        parts.append(string[cursor:])
+    return parts
+
+
+def is_image(string: str) -> bool:
     """
-    Extract from a string (typically the user prompt string) the potentional images saved as a base64 representation
-    inside a markdown.
+    There are two ways for images: local image path or url.
     """
-    pattern = r'<img src="data:image/png;base64,([^"]+)" />'
-    parts = re.split(pattern, string_with_potential_im_markdown)
-    result = []
+    return is_url(string) or string.startswith(DEFAULT_TEMP_DIR)
 
-    for i, part in enumerate(parts):
-        if i % 2 == 0:
-            result.append(part)
-        else:
-            img_tag = f'<img src="data:image/png;base64,{part.strip()}" />'
-            result.append(img_tag)
-
-    return result
 
-
-# Fetching utils
-def is_url(string):
+def is_url(string: str) -> bool:
     """
     Checks if the passed string contains a valid url and nothing else. e.g. if space is included it's immediately
     invalidated the url
@@ -219,7 +138,7 @@ def is_url(string):
     return all([result.scheme, result.netloc])
 
 
-def isolate_images_urls(prompt_list):
+def isolate_images_urls(prompt_list: List) -> List:
     """
     Convert a full string prompt to the list format expected by the processor.
     In particular, image urls (as delimited by <fake_token_around_image>) should be their own elements.
@@ -242,15 +161,12 @@ def isolate_images_urls(prompt_list):
     ]
     ```
     """
-    
     linearized_list = []
     for prompt in prompt_list:
         # Prompt can be either a string, or a PIL image
         if isinstance(prompt, PIL.Image.Image):
             linearized_list.append(prompt)
-        elif isinstance(prompt, str) and "/tmp/gradio/" in prompt: #isinstance(prompt, PIL.Image.Image):
-            linearized_list.append(prompt)
-        elif isinstance(prompt, str) and "/tmp/gradio/" not in prompt:
+        elif isinstance(prompt, str):
             if "<fake_token_around_image>" not in prompt:
                 linearized_list.append(prompt)
             else:
@@ -270,539 +186,294 @@ def isolate_images_urls(prompt_list):
     return linearized_list
 
 
-# Chatbot handling utils
-def handle_manual_images_in_user_prompt(user_prompt: str) -> List[Union[str, PIL.Image.Image]]:
+def fetch_images(url_list: str) -> PIL.Image.Image:
+    """Fetching images"""
+    return PROCESSOR.image_processor.fetch_images(url_list)
+
+
+def handle_manual_images_in_user_prompt(user_prompt: str) -> List[str]:
     """
     Handle the case of textually manually inputted images (i.e. the `<fake_token_around_image><image:IMG_URL><fake_token_around_image>`) in the user prompt
-    by fetching them and replacing the whole sub-sequence by a PIL image.
+    by fetching them, saving them locally and replacing the whole sub-sequence the image local path.
     """
     if "<fake_token_around_image>" in user_prompt:
         splitted_user_prompt = isolate_images_urls([user_prompt])
         resulting_user_prompt = []
-        for up in splitted_user_prompt:
-            if is_url(up):
-                img = processor.image_processor.fetch_images([up])[0]
-                resulting_user_prompt.append(img)
+        for u_p in splitted_user_prompt:
+            if is_url(u_p):
+                img = fetch_images([u_p])[0]
+                tmp_file = pil_to_temp_file(img)
+                resulting_user_prompt.append(tmp_file)
             else:
-                resulting_user_prompt.append(up)
+                resulting_user_prompt.append(u_p)
         return resulting_user_prompt
     else:
         return [user_prompt]
 
 
-def user_prompt_list_to_markdown(user_prompt_list: List[Union[str, PIL.Image.Image]]):
+def gradio_link(img_path: str) -> str:
+    url = f"{GRADIO_LINK}/file={img_path}"
+    return url
+
+
+def prompt_list_to_markdown(prompt_list: List[str]) -> str:
     """
     Convert a user prompt in the list format (i.e. elements are either a PIL image or a string) into
     the markdown format that is used for the chatbot history and rendering.
     """
     resulting_string = ""
-    for elem in user_prompt_list:
-        if isinstance(elem, str):
-            if "/tmp/gradio/" not in elem:
-                resulting_string += elem
-            elif "/tmp/gradio/" in elem:            
-                resulting_string += f"![](/file={convert_to_rgb(elem)})"
-        elif isinstance(elem, PIL.Image.Image): 
-            resulting_string += f"![](/file={convert_to_rgb(elem)})" 
+    for elem in prompt_list:
+        if is_image(elem):
+            if is_url(elem):
+                resulting_string += f"![]({elem})"
+            else:
+                resulting_string += f"![](/file={elem})"
         else:
-            raise ValueError(
-                "Unknown type for `user_prompt_list`. Expected an element of type `str` or `PIL.Image.Image` and got"
-                f" `{type(elem)}`"
-            )
+            resulting_string += elem
     return resulting_string
 
 
-def remove_spaces_around_token(text):
-    pattern = r'\s*(<fake_token_around_image>)\s*'
-    replacement = r'\1'
-    result = re.sub(pattern, replacement, text)
-    return result
+def prompt_list_to_tgi_input(prompt_list: List[str]) -> str:
+    """
+    TGI expects a string that contains both text and images in the image markdown format (i.e. the `![]()` ).
+    The images links are parsed on TGI side
+    """
+    result_string_input = ""
+    for elem in prompt_list:
+        if is_image(elem):
+            if is_url(elem):
+                result_string_input += f"![]({elem})"
+            else:
+                result_string_input += f"![]({gradio_link(img_path=elem)})"
+        else:
+            result_string_input += elem
+    return result_string_input
 
 
-# Model and generation utils
-def load_processor_tokenizer_model(model_name):
-    processor = AutoProcessor.from_pretrained(
-        model_name,
-        token=os.getenv("HF_AUTH_TOKEN", True),
-        truncation_side="left",
-    )
-    tokenizer = processor.tokenizer
-
-    config = AutoConfig.from_pretrained(model_name, use_auth_token=os.getenv("HF_AUTH_TOKEN", True))
-    max_memory_map = get_max_memory()
-
-    for key in max_memory_map.keys():
-        if key != "cpu":
-            # Get this in GB
-            max_memory_map[key] = max_memory_map[key] // (1024 * 1024 * 1024)
-            # Decrease 2 for Pytorch overhead and 2 for the forward to be safe
-            max_memory_map[key] = f"{max_memory_map[key] - 4} GiB"
-
-    model = IdeficsForVisionText2Text.from_pretrained(
-        model_name,
-        token=os.getenv("HF_AUTH_TOKEN", True),
-        device_map="auto",
-        offload_folder="./offload",
-        torch_dtype=config.torch_dtype,
-        max_memory=max_memory_map,
-    )
-    model.eval()
-    print("Current device map:", model.hf_device_map)
-    print("Model default generation config:", model.generation_config)
-    # TODO: the device_map looks very inefficien right now. that could be improved
-    return processor, tokenizer, model
+def remove_spaces_around_token(text: str) -> str:
+    pattern = r"\s*(<fake_token_around_image>)\s*"
+    replacement = r"\1"
+    result = re.sub(pattern, replacement, text)
+    return result
 
 
+# Chatbot utils
 def format_user_prompt_with_im_history_and_system_conditioning(
-    current_user_prompt_str: str, current_image: Optional[PIL.Image.Image], history: List[Tuple[str, str]]
-) -> List[Union[str, PIL.Image.Image]]:
+    current_user_prompt_str: str, current_image: Optional[str], history: List[Tuple[str, str]]
+) -> Tuple[List[str], List[str]]:
     """
     Produces the resulting list that needs to go inside the processor.
     It handles the potential image box input, the history and the system conditionning.
     """
-    
     resulting_list = copy.deepcopy(SYSTEM_PROMPT)
 
     # Format history
     for turn in history:
         user_utterance, assistant_utterance = turn
+        assistant_utterance = assistant_utterance.replace(ASSISTANT_PREPEND, "")
         splitted_user_utterance = split_str_on_im_markdown(user_utterance)
-        
-        if isinstance(splitted_user_utterance[0], str):
-            resulting_list.append("\nUser: ")
-        else:
-            resulting_list.append("\nUser:")
+
+        optional_space = ""
+        if not is_image(splitted_user_utterance[0]):
+            optional_space = " "
+        resulting_list.append(f"\nUser:{optional_space}")
         resulting_list.extend(splitted_user_utterance)
         resulting_list.append(f"<end_of_utterance>\nAssistant: {assistant_utterance}")
-        
 
     # Format current input
     current_user_prompt_str = remove_spaces_around_token(current_user_prompt_str)
-    
     if current_image is None:
-        if "<img src=data:image/png;base64" in current_user_prompt_str:
-            raise ValueError("The UI does not support inputing via the text box an image in base64.")
-        current_user_prompt_list = handle_manual_images_in_user_prompt(current_user_prompt_str)
-        resulting_list.append("\nUser: ")
+        if "![](" in current_user_prompt_str:
+            current_user_prompt_list = split_str_on_im_markdown(current_user_prompt_str)
+        else:
+            current_user_prompt_list = handle_manual_images_in_user_prompt(current_user_prompt_str)
+
+        optional_space = ""
+        if not is_image(current_user_prompt_list[0]):
+            # Check if the first element is an image (and more precisely a path to an image)
+            optional_space = " "
+        resulting_list.append(f"\nUser:{optional_space}")
         resulting_list.extend(current_user_prompt_list)
         resulting_list.append("<end_of_utterance>\nAssistant:")
-        return resulting_list, current_user_prompt_list
     else:
-        # Choosing to put the image first when the image is inputted through the UI, but this is an arbitrary choice.
-        resulting_list.extend(["\nUser:", Image.open(current_image), f"{current_user_prompt_str}<end_of_utterance>\nAssistant:"]) #current_image
-        return resulting_list, [current_user_prompt_str]
-
-
-def model_generation(
-    prompt_list,
-    processor,
-    tokenizer,
-    model,
-    temperature,
-    no_repeat_ngram_size,
-    max_new_tokens,
-    min_length,
-    ban_tokens,
-    eos_tokens,
-    force_words,
-    repetition_penalty,
-    hide_special_tokens,
-    decoding_strategy,
-    num_beams,
-    length_penalty,
-    top_k,
-    top_p,
-    penalty_alpha,
-):
-    input_args = processor(
-        isolate_images_urls(prompt_list),
-        truncation=True,
-        max_length=MAX_SEQ_LEN - max_new_tokens,
-        padding=True,
-        add_end_of_utterance_token=False, # Already taken care of inside the prompts, so bypassing the processor's handling of this token
-    )
-    for k, v in input_args.items():
-        input_args[k] = v.to(0)
-
-    # Excluding some words from the generation
-    bad_words_ids = None
-    ban_tokens = ban_tokens.replace("\\n", "\n")
-    bad_words = ban_tokens.split(";")
-    if len(bad_words) > 0:
-        bad_words_ids = tokenizer(bad_words, add_special_tokens=False).input_ids
-
-    # Forcing some words in the generation
-    force_words_ids = None
-    if force_words != "":
-        force_words = force_words.replace("\\n", "\n")
-        force_words = force_words.split(";")
-        if len(force_words) > 0:
-            force_words_ids = tokenizer(force_words, add_special_tokens=False).input_ids
-
-    eos_token_ids = None
-    if eos_tokens != "":
-        eos_tokens = eos_tokens.replace("\\n", "\n")
-        eos_tokens = eos_tokens.split(";")
-        if len(eos_tokens) > 0:
-            eos_token_ids = []
-            for eos_token in eos_tokens:
-                tokenized_eos_token = tokenizer.convert_tokens_to_ids(eos_token)
-                if tokenized_eos_token == 0: # <unk> with our llama tokenizer
-                    raise ValueError(f"Unknown tokens specified for exit condition.")
-                eos_token_ids += [tokenized_eos_token]
-
-    # Common parameters to all decoding strategies
-    # This documentation is useful to read: https://huggingface.co/docs/transformers/main/en/generation_strategies
-    generation_args = {
-        "no_repeat_ngram_size": no_repeat_ngram_size,
-        "max_new_tokens": max_new_tokens,
-        "min_length": min_length,
-        "bad_words_ids": bad_words_ids,
-        "force_words_ids": force_words_ids,
-        "repetition_penalty": repetition_penalty,
-        "eos_token_id": eos_token_ids,
-    }
-
-    assert decoding_strategy in [
-        "Greedy",
-        "beam_search",
-        "beam_sampling",
-        "sampling_top_k",
-        "Top P Sampling",
-        "contrastive_sampling",
-    ]
-    if decoding_strategy == "Greedy":
-        pass
-    elif decoding_strategy == "beam_search":
-        generation_args["num_beams"] = num_beams
-        generation_args["length_penalty"] = length_penalty
-        assert generation_args["num_beams"] > 1
-    elif decoding_strategy == "beam_sampling":
-        generation_args["temperature"] = temperature
-        generation_args["num_beams"] = num_beams
-        generation_args["length_penalty"] = length_penalty
-        generation_args["do_sample"] = True
-        assert generation_args["num_beams"] > 1
-    elif decoding_strategy == "sampling_top_k":
-        generation_args["temperature"] = temperature
-        generation_args["do_sample"] = True
-        generation_args["top_k"] = top_k
-    elif decoding_strategy == "Top P Sampling":
-        generation_args["temperature"] = temperature
-        generation_args["do_sample"] = True
-        generation_args["top_p"] = top_p
-    elif decoding_strategy == "contrastive_sampling":
-        generation_args["temperature"] = temperature
-        generation_args["do_sample"] = True
-        generation_args["penalty_alpha"] = penalty_alpha
-        generation_args["top_k"] = top_k
-
-    generated_tokens = model.generate(
-        **input_args,
-        **generation_args,
-    )
+        # Choosing to put the image first when the image is inputted through the UI, but this is an arbiratrary choice.
+        resulting_list.extend(["\nUser:", current_image, f"{current_user_prompt_str}<end_of_utterance>\nAssistant:"])
+        current_user_prompt_list = [current_user_prompt_str]
 
-    tokens = tokenizer.convert_ids_to_tokens(generated_tokens[0])
-    decoded_skip_special_tokens = repr(
-        tokenizer.batch_decode(generated_tokens, skip_special_tokens=hide_special_tokens)[0]
-    )
+    return resulting_list, current_user_prompt_list
 
-    actual_generated_tokens = generated_tokens[:, input_args["input_ids"].shape[-1] :]
-    first_end_token = len(actual_generated_tokens[0])
-    actual_generated_tokens = actual_generated_tokens[:, :first_end_token]
-    generated_text = tokenizer.batch_decode(actual_generated_tokens, skip_special_tokens=hide_special_tokens)[0]
-
-    logger.info(
-        "Result: \n"
-        f"----Prompt: `{prompt_list}`\n"
-        f"----Tokens ids - prompt + generation: `{generated_tokens[0].tolist()}`\n"
-        f"----Tokens converted - prompt + generation: `{tokens}`\n"
-        f"----String decoded with skipped special tokens - prompt + generation: `{decoded_skip_special_tokens}`\n"
-        f"----Total length - prompt + generation `{len(generated_tokens[0].tolist())}`\n"
-        f"----Token ids - generation: `{actual_generated_tokens[0].tolist()}`\n"
-        f"----Tokens converted - generation: `{tokenizer.convert_ids_to_tokens(actual_generated_tokens[0])}`\n"
-        f"----String decoded with skipped special tokens - generation: `{generated_text}`\n"
-        f"----Total length - generation: `{len(actual_generated_tokens[0].tolist())}`\n"
-        f"----Generation mode: `{decoding_strategy}`\n"
-        f"----Generation parameters: `{generation_args}`\n"
-    )
 
-    return generated_text
-
-
-dope_callback = gr.CSVLogger()
-dope_hf_callback = gr.HuggingFaceDatasetSaver(
-    hf_token=os.getenv("HF_AUTH_TOKEN"),
-    dataset_name="HuggingFaceM4/gradio_dope_data_points",
-    private=True,
-)
-problematic_callback = gr.CSVLogger()
+ASSISTANT_PREPEND = f"<img src='{IDEFICS_LOGO}' width='45'>"
+# dope_callback = gr.CSVLogger()
+# problematic_callback = gr.CSVLogger()
 
 textbox = gr.Textbox(
     show_label=False,
-    value="Describe the battle against the fierce dragons.",
+    # value="Describe the battle against the fierce dragons.",
     visible=True,
     container=False,
     label="Text input",
 )
+with gr.Blocks(title="IDEFICS Playground", theme=gr.themes.Base()) as demo:
+    gr.HTML("""<h1 align="center">🐶 IDEFICS Playground - EMBARGO UNTIL AUGUST 22ND</h1>""")  # TODO remove embargo
+    with gr.Row(variant="panel"):
+        with gr.Column(scale=2):
+            gr.Image(IDEFICS_LOGO, elem_id="banner-image", show_label=False, show_download_button=False)
+        with gr.Column(scale=5):
+            gr.Markdown("""
+                **EMBARGO UNTIL AUGUST 22ND** This demo showcaes **IDEFICS**, a open-access large visual lanugage model. Like GPT-4, the multimodal model accepts arbitrary sequences of image and text inputs and produces text outputs. IDEFICS can answer questions about images, describe visual content, create stories grounded in multiple images, etc.
+                <br>IDEFICS (which stans for **I**mage-aware **D**ecoder **E**nhanced à la **F**lamingo with **I**nterleaved **C**ross-attention**S**) is an open-access reproduction of [Flamingo](https://huggingface.co/papers/2204.14198), a closed-source visual language model developed by Deepmind. IDEFICS was built solely on publicly available data and models. It is currently the only visual language model of this scale available in open-access.
+
+                📚 The variants available in this demo were fine-tuned on a mixture of supervised and intruction fine-tuning to make the models more suitable in conversational settings. For more details, we refer to our [blog post](TODO).
+
+                🅿️ **Intended uses:** This demo along with the [supporting models](https://huggingface.co/models?sort=trending&search=HuggingFaceM4%2Fidefics) are provided as research artefacts to the community. We detail misuses and out-of-scope uses [here](https://huggingface.co/HuggingFaceM4/idefics-80b#misuse-and-out-of-scope-use).
+
+                ⛔️ **Limitations:** the model can produce factually incorrect texts, hallucinate facts (with or without an image) and will struggle with small details in images. While the model will tend to refuse answering questionable user requests, it can produce problematic outputs (including racist, stereotypical, and disrespectful texts), in particular when prompted to do so. We encourage users to read our findings from evaluating the model for potential biases in the [model card](https://huggingface.co/HuggingFaceM4/idefics-80b#bias-evaluation).
+                """)
+
+    # with gr.Row():
+    #     with gr.Column(scale=2):
+    with gr.Row(elem_id="model_selector_row"):
+        model_selector = gr.Dropdown(
+            choices=MODELS,
+            value="HuggingFaceM4/idefics-9b-instruct",
+            interactive=True,
+            show_label=False,
+            container=False,
+            label="Model",
+        )
 
-css = """
-#chatbot {
-background-image: url('https://huggingface.co/spaces/ysharma/dummy_m4/resolve/main/idefics_transparent20.png');
-background-repeat: repeat;
-}
-"""
-
-with gr.Blocks(title="IDEFICS-Chat", theme=gr.themes.Base(), css=css) as demo:
-    gr.Markdown(
-        """
-        # IDEFICS
-        This is a demo for [IDEFICS](https://huggingface.co/HuggingFaceM4/idefics-80b), a open-access large visual lanugage model built built solely on publicly available data and models.
-        <br>Like GPT-4, the multimodal model accepts arbitrary sequences of image and text inputs and produces text outputs.
-        <br>IDEFICS (which stans for **I**mage-aware **D**ecoder **E**nhanced à la **F**lamingo with **I**nterleaved **C**ross-attention**S**) is an open-access reproduction of [Flamingo](https://huggingface.co/papers/2204.14198), a closed-source visual language model developed by Deepmind.
-
-        The [model cards](https://huggingface.co/HuggingFaceM4/idefics-80b) and [dataset card](https://huggingface.co/datasets/HuggingFaceM4/OBELISC) provide plenty of information about the model and training data.
-        <br>We provide an [interactive visualization](https://atlas.nomic.ai/map/f2fba2aa-3647-4f49-a0f3-9347daeee499/ee4a84bd-f125-4bcc-a683-1b4e231cb10f) (TODO: change to official link when have it) that allows exploring the content of the training data.
-        <br>You can also [read more about](https://github.com/huggingface/m4-logs/blob/master/memos/README.md) some of the technical challenges encountered during training IDEFICS.
-        """
-    )
+    imagebox = gr.Image(type="filepath", label="Image input", visible=False)
 
     with gr.Row():
-        with gr.Column(scale=3):
-            with gr.Row(elem_id="model_selector_row"):
-                model_selector = gr.Dropdown(
-                    choices=MODELS,
-                    value="HuggingFaceM4/idefics-9b-instruct",
-                    interactive=True,
-                    show_label=False,
-                    container=False,
-                    label="Model"
-                )
-            processor, tokenizer, model = load_processor_tokenizer_model(model_selector.value)
-
-            imagebox = gr.Image(type="filepath", label="Image input")
-
-            with gr.Accordion("Advanced parameters", open=False, visible=True) as parameter_row:
-                max_new_tokens = gr.Slider(
-                    minimum=0,
-                    maximum=2048,
-                    value=512,
-                    step=1,
-                    interactive=True,
-                    label="Maximum number of new tokens to generate",
-                )
-                min_length = gr.Slider(
-                    minimum=0,
-                    maximum=50,
-                    value=0,
-                    step=1,
-                    interactive=True,
-                    label="Minimum number of new tokens to generate",
-                )
-                repetition_penalty = gr.Slider(
-                    minimum=0.0,
-                    maximum=5.0,
-                    value=1.0,
-                    step=0.1,
-                    interactive=True,
-                    label="Repetition penalty",
-                    info="1.0 means no penalty",
-                )
-                no_repeat_ngram_size = gr.Slider(
-                    minimum=0,
-                    maximum=10,
-                    value=0,
-                    step=1,
-                    interactive=True,
-                    label="N-gram repetition threshold",
-                    info="If set to int > 0, all ngrams of that size can only occur once.",
-                )
-                decoding_strategy = gr.Radio(
-                    [
-                        "Greedy",
-                        # "beam_search",
-                        # "beam_sampling",
-                        # "sampling_top_k",
-                        "Top P Sampling",
-                    ],
-                    value="Top P Sampling",
-                    label="Decoding strategy",
-                    interactive=True,
-                )
-                temperature = gr.Slider(
-                    minimum=0.0,
-                    maximum=5.0,
-                    value=1.2,
-                    step=0.1,
-                    interactive=True,
-                    label="Sampling temperature",
-                )
-                decoding_strategy.change(
-                    fn=lambda selection: gr.Slider.update(
-                        visible=(
-                            selection in ["contrastive_sampling", "beam_sampling", "Top P Sampling", "sampling_top_k"]
-                        )
-                    ),
-                    inputs=decoding_strategy,
-                    outputs=temperature,
-                )
-                num_beams = gr.Slider(
-                    minimum=0,
-                    maximum=20,
-                    value=3.0,
-                    step=1.0,
-                    interactive=True,
-                    visible=False,
-                    label="Number of beams",
-                    info="Only used if `decoding_strategy` is `beam_search` or `beam_sampling`.",
-                )
-                decoding_strategy.change(
-                    fn=lambda selection: gr.Slider.update(visible=(selection in ["beam_search", "beam_sampling"])),
-                    inputs=decoding_strategy,
-                    outputs=num_beams,
-                )
-                top_p = gr.Slider(
-                    minimum=0.0,
-                    maximum=1.0,
-                    value=0.8,
-                    step=0.01,
-                    interactive=True,
-                    visible=True,
-                    label="Top P",
-                    info=(
-                        "If set to float < 1, only the smallest set of most probable tokens with probabilities that"
-                        " add up to top_p or higher are kept for generation."
-                    ),
-                )
-                decoding_strategy.change(
-                    fn=lambda selection: gr.Slider.update(visible=(selection in ["Top P Sampling"])),
-                    inputs=decoding_strategy,
-                    outputs=top_p,
-                )
-                top_k = gr.Slider(
-                    minimum=0,
-                    maximum=500,
-                    value=50,
-                    step=1,
-                    interactive=True,
-                    visible=False,
-                    label="Top K",
-                    info="The number of highest probability vocabulary tokens to keep for top-k-filtering.",
-                )
-                decoding_strategy.change(
-                    fn=lambda selection: gr.Slider.update(visible=(selection in ["sampling_top_k"])),
-                    inputs=decoding_strategy,
-                    outputs=top_k,
-                )
-                length_penalty = gr.Slider(
-                    minimum=-1000.0,
-                    maximum=1000.0,
-                    value=1.0,
-                    step=0.1,
-                    interactive=True,
-                    visible=False,
-                    label="Length penalty",
-                    info=(
-                        "length_penalty > 0.0 promotes longer sequences, while length_penalty < 0.0 encourages shorter"
-                        " sequences. Only used if `decoding_strategy` is `beam_search` or `beam_sampling`."
-                    ),
-                )
-                decoding_strategy.change(
-                    fn=lambda selection: gr.Slider.update(visible=(selection in ["beam_search", "beam_sampling"])),
-                    inputs=decoding_strategy,
-                    outputs=length_penalty,
-                )
-                penalty_alpha = gr.Slider(
-                    minimum=0.0,
-                    maximum=5.0,
-                    value=0.95,
-                    step=0.05,
-                    interactive=True,
-                    visible=False,
-                    label="Penalty alpha",
-                    info="Only used if `decoding_strategy` is `contrastive_sampling`.",
-                )
-                decoding_strategy.change(
-                    fn=lambda selection: gr.Slider.update(visible=(selection in ["contrastive_sampling"])),
-                    inputs=decoding_strategy,
-                    outputs=penalty_alpha,
-                )
-
-        with gr.Column(scale=6):
-
-            def prefetch_images_in_history(user_prompt_str):
-                """
-                Pre-fetch the images that are passed in the chatbot default history.
-                """
-                return user_prompt_list_to_markdown(handle_manual_images_in_user_prompt(user_prompt_str))
-
-            chatbot = gr.Chatbot(
-                elem_id="chatbot",
-                label="ChatIDEFICS",
-                visible=True,
-                height=550,
-                value=[
-                    [
-                        (
-                            prefetch_images_in_history(
-                                """Write a funny story including the following characters.
-There should be drama and most importantly romance.
-Character 1:<fake_token_around_image><image:https://m.media-amazon.com/images/M/MV5BODg1OTczMWEtNTU3MS00OTUzLThjODEtNDg1MWQwZmExYmFlXkEyXkFqcGdeQWFybm8@._V1_QL75_UX500_CR0,0,500,281_.jpg><fake_token_around_image>
-Character 2:<fake_token_around_image><image:https://static.wikia.nocookie.net/dreamworks/images/0/09/Shrek_dreamworks.png/revision/latest?cb=20170921225439><fake_token_around_image>
-Character 3:<fake_token_around_image><image:https://upload.wikimedia.org/wikipedia/en/e/ef/Marsupilami_1.jpg><fake_token_around_image>
-The plot should take place in the world pictured here:<fake_token_around_image><image:https://www.astronomy.com/wp-content/uploads/sites/2/2021/09/ON1.jpg><fake_token_around_image>"""
-                            )
-                        ),
-                        (
-                            """Once upon a time, in a world where the sky was a dome and the ground was covered in grass, there lived a beautiful princess named Mulan. She was kind, brave, and always ready to help others. One day, while walking through the forest, she stumbled upon a strange creature. It was a green ogre named Shrek, who was lost and looking for his way back home.
-
-Mulan, being the kind-hearted person she was, decided to help Shrek find his way back. As they traveled together, they began to develop a strong bond. Shrek was impressed by Mulan's bravery and determination, while Mulan admired Shrek's loyalty and sense of humor.
-
-However, their journey was not without obstacles. They encountered a mischievous cat named Hoboua, who was always causing trouble and getting into fights. Despite his troublemaking ways, Hoboua had a good heart and eventually became a valuable ally to Mulan and Shrek.
-
-As they traveled, they faced many challenges, including battling fierce dragons and navigating treacherous mountains. Through it all, Mulan and Shrek grew closer, and their feelings for each other deepened.
-
-Finally, they reached Shrek's home, and he was reunited with his family and friends. Mulan, however, was sad to leave him behind. But Shrek had a surprise for her. He had fallen in love with her and wanted to be with her forever.
-
-Mulan was overjoyed, and they shared a passionate kiss. From that day on, they lived happily ever after, exploring the world together and facing any challenges that came their way.
-
-And so, the story of Mulan and Shrek's romance came to an end, leaving a lasting impression on all who heard it."""
-                        ),
-                    ],
+        # def prefetch_images_in_history(user_prompt_str):
+        #     """
+        #     Pre-fetch the images that are passed in the chatbot default history.
+        #     """
+        #     return prompt_list_to_markdown(handle_manual_images_in_user_prompt(user_prompt_str))
+
+        chatbot = gr.Chatbot(
+            elem_id="chatbot",
+            label="IDEFICS",
+            visible=True,
+            height=750,
+            #                 value=[
+            #                     [
+            #                         (
+            #                             prefetch_images_in_history(
+            #                                 """Write a funny story including the following characters.
+            # There should be drama and most importantly romance.
+            # Character 1:<fake_token_around_image><image:https://m.media-amazon.com/images/M/MV5BODg1OTczMWEtNTU3MS00OTUzLThjODEtNDg1MWQwZmExYmFlXkEyXkFqcGdeQWFybm8@._V1_QL75_UX500_CR0,0,500,281_.jpg><fake_token_around_image>
+            # Character 2:<fake_token_around_image><image:https://static.wikia.nocookie.net/dreamworks/images/0/09/Shrek_dreamworks.png/revision/latest?cb=20170921225439><fake_token_around_image>
+            # Character 3:<fake_token_around_image><image:https://upload.wikimedia.org/wikipedia/en/e/ef/Marsupilami_1.jpg><fake_token_around_image>
+            # The plot should take place in the world pictured here:<fake_token_around_image><image:https://www.astronomy.com/wp-content/uploads/sites/2/2021/09/ON1.jpg><fake_token_around_image>"""
+            #                             )
+            #                         ),
+            #                         """Once upon a time, in a world where the sky was a dome and the ground was covered in grass, there lived a beautiful princess named Mulan. She was kind, brave, and always ready to help others. One day, while walking through the forest, she stumbled upon a strange creature. It was a green ogre named Shrek, who was lost and looking for his way back home.
+            # Mulan, being the kind-hearted person she was, decided to help Shrek find his way back. As they traveled together, they began to develop a strong bond. Shrek was impressed by Mulan's bravery and determination, while Mulan admired Shrek's loyalty and sense of humor.
+            # However, their journey was not without obstacles. They encountered a mischievous cat named Hoboua, who was always causing trouble and getting into fights. Despite his troublemaking ways, Hoboua had a good heart and eventually became a valuable ally to Mulan and Shrek.
+            # As they traveled, they faced many challenges, including battling fierce dragons and navigating treacherous mountains. Through it all, Mulan and Shrek grew closer, and their feelings for each other deepened.
+            # Finally, they reached Shrek's home, and he was reunited with his family and friends. Mulan, however, was sad to leave him behind. But Shrek had a surprise for her. He had fallen in love with her and wanted to be with her forever.
+            # Mulan was overjoyed, and they shared a passionate kiss. From that day on, they lived happily ever after, exploring the world together and facing any challenges that came their way.
+            # And so, the story of Mulan and Shrek's romance came to an end, leaving a lasting impression on all who heard it.""",
+            #                     ],
+            #                 ],
+        )
+
+    with gr.Group():
+        with gr.Row():
+            with gr.Column(scale=0.6):
+                textbox.render()
+            with gr.Column(scale=0.1, min_width=80):
+                submit_btn = gr.Button(value="▶️ Submit", visible=True)
+            with gr.Column(scale=0.1, min_width=0):
+                clear_btn = gr.ClearButton([textbox, imagebox, chatbot], value="🧹 Clear")
+            with gr.Column(scale=0.1, min_width=0):
+                regenerate_btn = gr.Button(value="🔄 Regenerate", visible=True)
+            with gr.Column(scale=0.1, min_width=0):
+                upload_btn = gr.UploadButton("📁 Upload image", file_types=["image"])
+    # with gr.Group():
+    #     with gr.Row():
+    #         with gr.Column(scale=1, min_width=50):
+    #             dope_bttn = gr.Button("Dope🔥")
+    #         with gr.Column(scale=1, min_width=50):
+    #             problematic_bttn = gr.Button("Problematic😬")
+
+    with gr.Row():
+        with gr.Accordion("Advanced parameters", open=False, visible=True) as parameter_row:
+            max_new_tokens = gr.Slider(
+                minimum=0,
+                maximum=2048,
+                value=512,
+                step=1,
+                interactive=True,
+                label="Maximum number of new tokens to generate",
+            )
+            repetition_penalty = gr.Slider(
+                minimum=0.0,
+                maximum=5.0,
+                value=1.1,
+                step=0.01,
+                interactive=True,
+                label="Repetition penalty",
+                info="1.0 is equivalent to no penalty",
+            )
+            decoding_strategy = gr.Radio(
+                [
+                    "Greedy",
+                    "Top P Sampling",
                 ],
+                value="Top P Sampling",
+                label="Decoding strategy",
+                interactive=True,
+            )
+            temperature = gr.Slider(
+                minimum=0.0,
+                maximum=5.0,
+                value=0.4,
+                step=0.1,
+                interactive=True,
+                label="Sampling temperature",
+                info="Higher values will produce more diverse outputs.",
+            )
+            decoding_strategy.change(
+                fn=lambda selection: gr.Slider.update(
+                    visible=(
+                        selection in ["contrastive_sampling", "beam_sampling", "Top P Sampling", "sampling_top_k"]
+                    )
+                ),
+                inputs=decoding_strategy,
+                outputs=temperature,
+            )
+            top_p = gr.Slider(
+                minimum=0.0,
+                maximum=1.0,
+                value=0.8,
+                step=0.01,
+                interactive=True,
+                visible=True,
+                label="Top P",
+                info="Higher values is equivalent to sampling more low-probability tokens.",
+            )
+            decoding_strategy.change(
+                fn=lambda selection: gr.Slider.update(visible=(selection in ["Top P Sampling"])),
+                inputs=decoding_strategy,
+                outputs=top_p,
             )
-            with gr.Row():
-                with gr.Column(scale=8):
-                    textbox.render()
-                with gr.Column(scale=1, min_width=60):
-                    submit_btn = gr.Button(value="Submit", visible=True)
-                with gr.Column(scale=1, min_width=20):
-                    clear_btn = gr.ClearButton([textbox, chatbot])
-                with gr.Column(scale=1, min_width=15):
-                    dope_bttn = gr.Button("Dope🔥")
-                with gr.Column(scale=1, min_width=15):
-                    problematic_bttn = gr.Button("Problematic😬")
 
     def model_inference(
+        model_selector,
         user_prompt_str,
         chat_history,
         image,
         decoding_strategy,
-        num_beams,
         temperature,
-        no_repeat_ngram_size,
         max_new_tokens,
-        min_length,
         repetition_penalty,
-        length_penalty,
-        top_k,
         top_p,
-        penalty_alpha,
     ):
-        # global processor, model, tokenizer
-
-        force_words = ""
-        hide_special_tokens = False
+        if user_prompt_str.strip() == "" and image is None:
+            return "", None, chat_history
 
         formated_prompt_list, user_prompt_list = format_user_prompt_with_im_history_and_system_conditioning(
             current_user_prompt_str=user_prompt_str.strip(),
@@ -810,101 +481,111 @@ And so, the story of Mulan and Shrek's romance came to an end, leaving a lasting
             history=chat_history,
         )
 
-        generated_text = model_generation(
-            prompt_list=formated_prompt_list,
-            processor=processor,
-            tokenizer=tokenizer,
-            model=model,
-            temperature=temperature,
-            no_repeat_ngram_size=no_repeat_ngram_size,
-            max_new_tokens=max_new_tokens,
-            min_length=min_length,
-            ban_tokens=BAN_TOKENS,
-            eos_tokens=EOS_TOKENS,
-            force_words=force_words,
-            repetition_penalty=repetition_penalty,
-            hide_special_tokens=hide_special_tokens,
-            decoding_strategy=decoding_strategy,
-            num_beams=num_beams,
-            length_penalty=length_penalty,
-            top_k=top_k,
-            top_p=top_p,
-            penalty_alpha=penalty_alpha,
+        client_endpoint = API_PATHS[model_selector]
+        client = Client(
+            base_url=client_endpoint,
+            headers={"x-use-cache": "0", "Authorization": f"Bearer {API_TOKEN}"},
         )
 
+        # Common parameters to all decoding strategies
+        # This documentation is useful to read: https://huggingface.co/docs/transformers/main/en/generation_strategies
+        generation_args = {
+            "max_new_tokens": max_new_tokens,
+            "repetition_penalty": repetition_penalty,
+            "stop_sequences": EOS_STRINGS,
+        }
+
+        assert decoding_strategy in [
+            "Greedy",
+            "Top P Sampling",
+        ]
+        if decoding_strategy == "Greedy":
+            generation_args["do_sample"] = False
+        elif decoding_strategy == "Top P Sampling":
+            generation_args["temperature"] = temperature
+            generation_args["do_sample"] = True
+            generation_args["top_p"] = top_p
+
         if image is None:
             # Case where there is no image OR the image is passed as `<fake_token_around_image><image:IMAGE_URL><fake_token_around_image>`
-            chat_history.append(
-                (user_prompt_list_to_markdown(user_prompt_list), generated_text.strip("<end_of_utterance>"))
-            )
+            chat_history.append([prompt_list_to_markdown(user_prompt_list), ASSISTANT_PREPEND])
         else:
             # Case where the image is passed through the Image Box.
             # Convert the image into base64 for both passing it through the chat history and
             # displaying the image inside the same bubble as the text.
             chat_history.append(
-                (
-                    f"{user_prompt_list_to_markdown([image] + user_prompt_list)}",
-                    generated_text.strip("<end_of_utterance>"),
-                )
+                [
+                    f"{prompt_list_to_markdown([image] + user_prompt_list)}",
+                    ASSISTANT_PREPEND,
+                ]
             )
-        return "", None, chat_history
+
+        query = prompt_list_to_tgi_input(formated_prompt_list)
+        stream = client.generate_stream(prompt=query, **generation_args)
+
+        acc_text = ""
+        for idx, response in enumerate(stream):
+            text_token = response.token.text
+
+            if response.details:
+                # That's the exit condition
+                return
+
+            if text_token in STOP_SUSPECT_LIST:
+                acc_text += text_token
+                continue
+
+            if idx == 0 and text_token.startswith(" "):
+                text_token = text_token.lstrip()
+
+            acc_text += text_token
+            last_turn = chat_history.pop(-1)
+            last_turn[-1] += acc_text
+            chat_history.append(last_turn)
+            yield "", None, chat_history
+            acc_text = ""
 
     def process_example(message, image):
         clear_msg, image_value, chat = model_inference(
+            model_selector="HuggingFaceM4/idefics-80b-instruct",
             user_prompt_str=message,
             chat_history=[],
             image=image,
             decoding_strategy="Greedy",
-            num_beams=None,
             temperature=None,
-            no_repeat_ngram_size=None,
             max_new_tokens=512,
-            min_length=16,
             repetition_penalty=None,
-            length_penalty=None,
-            top_k=None,
             top_p=0.95,
-            penalty_alpha=None,
         )
         return clear_msg, image_value, chat
 
     textbox.submit(
         fn=model_inference,
         inputs=[
+            model_selector,
             textbox,
             chatbot,
             imagebox,
             decoding_strategy,
-            num_beams,
             temperature,
-            no_repeat_ngram_size,
             max_new_tokens,
-            min_length,
             repetition_penalty,
-            length_penalty,
-            top_k,
             top_p,
-            penalty_alpha,
         ],
         outputs=[textbox, imagebox, chatbot],
     )
     submit_btn.click(
         fn=model_inference,
         inputs=[
+            model_selector,
             textbox,
             chatbot,
             imagebox,
             decoding_strategy,
-            num_beams,
             temperature,
-            no_repeat_ngram_size,
             max_new_tokens,
-            min_length,
             repetition_penalty,
-            length_penalty,
-            top_k,
             top_p,
-            penalty_alpha,
         ],
         outputs=[
             textbox,
@@ -913,135 +594,177 @@ And so, the story of Mulan and Shrek's romance came to an end, leaving a lasting
         ],
     )
 
-    # Using Flagging for saving dope and problematic examples
-    # Dope examples flagging
-    dope_hf_callback.setup(
-        [
+    def remove_last_turn(chat_history):
+        if len(chat_history) == 0:
+            return gr.Update(), gr.Update()
+        last_interaction = chat_history[-1]
+        chat_history = chat_history[:-1]
+        chat_update = gr.update(value=chat_history)
+        text_update = gr.update(value=last_interaction[0])
+        return chat_update, text_update
+
+    regenerate_btn.click(fn=remove_last_turn, inputs=chatbot, outputs=[chatbot, textbox]).then(
+        fn=model_inference,
+        inputs=[
             model_selector,
             textbox,
             chatbot,
             imagebox,
             decoding_strategy,
-            num_beams,
             temperature,
-            no_repeat_ngram_size,
             max_new_tokens,
-            min_length,
             repetition_penalty,
-            length_penalty,
-            top_k,
             top_p,
-            penalty_alpha,
         ],
-        "gradio_dope_data_points"
-    )
-    dope_bttn.click(
-        lambda *args: dope_hf_callback.flag(args),
-        [
-            model_selector,
+        outputs=[
             textbox,
-            chatbot,
             imagebox,
-            decoding_strategy,
-            num_beams,
-            temperature,
-            no_repeat_ngram_size,
-            max_new_tokens,
-            min_length,
-            repetition_penalty,
-            length_penalty,
-            top_k,
-            top_p,
-            penalty_alpha,
-        ],
-        None,
-        preprocess=False
-    )
-    # Problematic examples flagging
-    problematic_callback.setup(
-        [
-            model_selector,
-            textbox,
             chatbot,
-            imagebox,
-            decoding_strategy,
-            num_beams,
-            temperature,
-            no_repeat_ngram_size,
-            max_new_tokens,
-            min_length,
-            repetition_penalty,
-            length_penalty,
-            top_k,
-            top_p,
-            penalty_alpha,
-        ],
-        "gradio_problematic_data_points"
-    )
-    problematic_bttn.click(
-        lambda *args: problematic_callback.flag(args),
-        [
-            model_selector,
-            textbox,
-            chatbot,
-            imagebox,
-            decoding_strategy,
-            num_beams,
-            temperature,
-            no_repeat_ngram_size,
-            max_new_tokens,
-            min_length,
-            repetition_penalty,
-            length_penalty,
-            top_k,
-            top_p,
-            penalty_alpha,
         ],
-        None,
-        preprocess=False
     )
 
+    upload_btn.upload(add_file, [upload_btn], [imagebox], queue=False)
 
-    gr.Markdown(
-        """## How to use?
-
-        There are two ways to provide image inputs:
-        - Using the image box on the left panel
-        - Using the inline syntax: `text<fake_token_around_image><image:URL_IMAGE><fake_token_around_image>text`
-
-        The second syntax allows inputting an arbitrary number of images."""
-    )
+    # Using Flagging for saving dope and problematic examples
+    # Dope examples flagging
+    # dope_callback.setup(
+    #     [
+    #         model_selector,
+    #         textbox,
+    #         chatbot,
+    #         imagebox,
+    #         decoding_strategy,
+    #         temperature,
+    #         max_new_tokens,
+    #         repetition_penalty,
+    #         top_p,
+    #     ],
+    #     "gradio_dope_data_points",
+    # )
+    # dope_bttn.click(
+    #     lambda *args: dope_callback.flag(args),
+    #     [
+    #         model_selector,
+    #         textbox,
+    #         chatbot,
+    #         imagebox,
+    #         decoding_strategy,
+    #         temperature,
+    #         max_new_tokens,
+    #         repetition_penalty,
+    #         top_p,
+    #     ],
+    #     None,
+    #     preprocess=False,
+    # )
+    # # Problematic examples flagging
+    # problematic_callback.setup(
+    #     [
+    #         model_selector,
+    #         textbox,
+    #         chatbot,
+    #         imagebox,
+    #         decoding_strategy,
+    #         temperature,
+    #         max_new_tokens,
+    #         repetition_penalty,
+    #         top_p,
+    #     ],
+    #     "gradio_problematic_data_points",
+    # )
+    # problematic_bttn.click(
+    #     lambda *args: problematic_callback.flag(args),
+    #     [
+    #         model_selector,
+    #         textbox,
+    #         chatbot,
+    #         imagebox,
+    #         decoding_strategy,
+    #         temperature,
+    #         max_new_tokens,
+    #         repetition_penalty,
+    #         top_p,
+    #     ],
+    #     None,
+    #     preprocess=False,
+    # )
+
+    # gr.Markdown("""## How to use?
+
+    #     There are two ways to provide image inputs:
+    #     - Using the image box on the left panel
+    #     - Using the inline syntax: `text<fake_token_around_image><image:URL_IMAGE><fake_token_around_image>text`
+
+    #     The second syntax allows inputting an arbitrary number of images.""")
 
     examples_path = os.path.dirname(__file__)
     gr.Examples(
         examples=[
+            [
+                (
+                    "Which famous person does the person in the image look like? Could you craft an engaging narrative"
+                    " featuring this character from the image as the main protagonist?"
+                ),
+                f"{examples_path}/example_images/obama-harry-potter.jpg",
+            ],
+            [
+                "Can you describe the image? Do you think it's real?",
+                f"{examples_path}/example_images/rabbit_force.png",
+            ],
+            ["Explain this meme to me.", f"{examples_path}/example_images/meme_french.jpg"],
+            ["Give me a short and easy recipe for this dish.", f"{examples_path}/example_images/recipe_burger.webp"],
+            [
+                "I want to go somewhere similar to the one in the photo. Give me destinations and travel tips.",
+                f"{examples_path}/example_images/travel_tips.jpg",
+            ],
+            ["Describe this image in detail.", f"{examples_path}/example_images/plant_bulb.webp"],
+            ["Write a complete sales ad for this product.", f"{examples_path}/example_images/product_ad.jpg"],
+            [
+                (
+                    "As an art critic AI assistant, could you describe this painting in details and make a thorough"
+                    " critic?"
+                ),
+                f"{examples_path}/example_images/art_critic.png",
+            ],
+            [
+                "Can you tell me a very short story based on this image?",
+                f"{examples_path}/example_images/chicken_on_money.png",
+            ],
+            ["Write 3 funny meme texts about this image.", f"{examples_path}/example_images/elon_smoking.jpg"],
+            [
+                "Can you name the characters in the image and give their French names?",
+                f"{examples_path}/example_images/gaulois.png",
+            ],
+            [
+                "Who is in this picture? Why do people find it surprising?",
+                f"{examples_path}/example_images/pope_doudoune.webp",
+            ],
+            # ["<fake_token_around_image><image:https://assets.stickpng.com/images/6308b83261b3e2a522f01467.png><fake_token_around_image>Make a poem about the company in the image<fake_token_around_image><image:https://miro.medium.com/v2/resize:fit:1400/0*jvDu2oQreHn63-fJ><fake_token_around_image>organizing the Woodstock of AI event,<fake_token_around_image><image:https://nationaltoday.com/wp-content/uploads/2019/12/national-llama-day-1200x834.jpg><fake_token_around_image>and the fact they brought those to the event.", None],
             ["What are the armed baguettes guarding?", f"{examples_path}/example_images/baguettes_guarding_paris.png"],
-            # [
-            #     "Can you tell me a very short story based on this image?",
-            #     f"{examples_path}/example_images/chicken_on_money.png",
-            # ],
             # ["Can you describe the image?", f"{examples_path}/example_images/bear_costume.png"],
-            # ["What is this animal and why is it unusual?", f"{examples_path}/example_images/blue_dog.png"],
-            # [
-            #     "What is this object and do you think it is horrifying?",
-            #     f"{examples_path}/example_images/can_horror.png",
-            # ],
-            # ["What is this sketch for? How would you make an argument to prove this sketch was made by Picasso himself?", f"{examples_path}/example_images/cat_sketch.png"],
-            # ["Which celebrity does this claymation figure look like?", f"{examples_path}/example_images/kanye.jpg"],
-            # [
-            #     "Which famous person does the person in the image look like? Could you craft an engaging narrative featuring this character from the image as the main protagonist?",
-            #     f"{examples_path}/example_images/obama-harry-potter.jpg",
-            # ],
+            ["What is this animal and why is it unusual?", f"{examples_path}/example_images/blue_dog.png"],
+            [
+                "What is this object and do you think it is horrifying?",
+                f"{examples_path}/example_images/can_horror.png",
+            ],
+            [
+                (
+                    "What is this sketch for? How would you make an argument to prove this sketch was made by Picasso"
+                    " himself?"
+                ),
+                f"{examples_path}/example_images/cat_sketch.png",
+            ],
+            ["Which celebrity does this claymation figure look like?", f"{examples_path}/example_images/kanye.jpg"],
             # [
             #     "Is there a celebrity look-alike in this image? What is happening to the person?",
             #     f"{examples_path}/example_images/ryan-reynolds-borg.jpg",
             # ],
-            # ["Can you describe this image in details please?", f"{examples_path}/example_images/dragons_playing.png"],
-            # ["What can you tell me about the cap in this image?", f"{examples_path}/example_images/ironman_cap.png"],
-            # [
-            #     "Can you write an advertisement for Coca-Cola based on this image?",
-            #     f"{examples_path}/example_images/polar_bear_coke.png",
-            # ],
+            ["Can you describe this image in details please?", f"{examples_path}/example_images/dragons_playing.png"],
+            ["What can you tell me about the cap in this image?", f"{examples_path}/example_images/ironman_cap.png"],
+            [
+                "Can you write an advertisement for Coca-Cola based on this image?",
+                f"{examples_path}/example_images/polar_bear_coke.png",
+            ],
             # [
             #     "What is the rabbit doing in this image? Do you think this image is real?",
             #     f"{examples_path}/example_images/rabbit_force.png",
@@ -1052,25 +775,25 @@ And so, the story of Mulan and Shrek's romance came to an end, leaving a lasting
             #     f"{examples_path}/example_images/tree_fortress.jpg",
             # ],
             # ["Who is the person in the image and what is he doing?", f"{examples_path}/example_images/tom-cruise-astronaut-pegasus.jpg"],
-            # [
-            #     "What is happening in this image? Which famous personality does this person in center looks like?",
-            #     f"{examples_path}/example_images/gandhi_selfie.jpg",
-            # ],
-            # [
-            #     (
-            #         "<fake_token_around_image><image:https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/stable-diffusion-xl-coreml/a_high_quality_photo_of_a_surfing_dog.7667.final_float16_original.jpg><fake_token_around_image>What"
-            #         " do you think the dog is doing and is it unusual?"
-            #     ),
-            #     None,
-            # ],
+            [
+                "What is happening in this image? Which famous personality does this person in center looks like?",
+                f"{examples_path}/example_images/gandhi_selfie.jpg",
+            ],
+            [
+                "What do you think the dog is doing and is it unusual?",
+                f"{examples_path}/example_images/surfing_dog.jpg",
+            ],
         ],
         inputs=[textbox, imagebox],
         outputs=[textbox, imagebox, chatbot],
         fn=process_example,
-        cache_examples=True,
-        examples_per_page=5,
-        label="Click on any example below to get started",
+        cache_examples=False,
+        examples_per_page=6,
+        label=(
+            "Click on any example below to get started.\nFor convenience, the model generations have been"
+            " pre-computed."
+        ),
     )
 
 demo.queue()
-demo.launch(share=False)
+demo.launch()

gradio_cached_examples/34/ChatIDEFICS/tmp2sbfcabv.json

@@ -1 +0,0 @@
-[["<img 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VcU1bdkPNTqhFUhMidMrWReQ9a3WXiqFzHuBND1RUHZmZFFgYxV2H5SAKZGntUoQg5zTuBpRHKipTVaBuBmrNAiGRcgisy4TD1rsuapXEeecUiWZbrioGHNXXSq7pSuBXAqWNeaUR1KifMKdxFuFPl6U9k4p0I+WnsOK55PUpbFKaPK5rDu49r5HSuikXIrJvIvlPFVTkUUYjgitC3bms2PrV6A4YVuJmzbnkVoL0rMhPQ1oxH5RQBLUEoxU9RSd6TAzZ+9Zs/BrVnHWs2ZOTTTEzNl6mmQxtJOqrnOeMVZePPaiS4/s3T57tiMIPlBHemOC1Oc8a60cLptvIWRB++bPU/8A1q4KRsmrV9cvPO8jtlmYkmqYUswxVomTbZJCjk9wDVqaVbWERr/rD+gp8WyOBp2/h6CsuSVpXLucsTmgLWGscmm0tO2YHWgkZS0pFJQAU4U2rVhbPd3kUEeNzsFGfegD034Y6ewsrm6ZMBmCqfUYrvCMHFW9B0m30rRLSxVARGgy2OpPU1vqLcrjyo+ndQRWkaN+opVDlQKfiugfS7aU5VNh9VOB+VQNo8WflncD0IBqXQkNTTMUimMvFaz6O4OFlXPuMVXfSbtc7VRh7NUOlNdB8yMspSqhFWJLWaI/PE498cU0CsmmilqMC04Cn7cUYqbjErzX4g+IhIf7Kt246ykH9K7HxPrKaLpMkxYeYwKxj1NeG3lzJdXDzStud2LEnvV011CTICcmiiitTMCaaTSmk60AFFLRigBBTgcGkooAmLZrZ8L3Zt9WiO4qM9RWEDV7S2CX0ZIHXvSZpB2Z9E20u+CNic7h1qc4PQ1yy6uLLR7a6kYlSQjFuMHtV2116C4IKyA5qVsay3NkoM5pkkII6VHHeJIuQasghlyDTFYzLizDoeK5nUdHZiSgx9a7dhmqVxb7gSBTuDR52+kTKxJAqMwPGSGBFdvJbBs5FRnTEkGCAfwoJsc9ps8kcgTJINdVay7hyMcVTTSPKkDBQcVqx2wI9DSuUSqflFNcZOaXBXg1E7haljUbiNxTDTJJRg1WafnGaErkyjYtE0hINVxLnqaUSCnysCYMVORVuG7A4Y496oBwacBmpcQubKShuQwIqTOayI5GTp0q1HdDgHipWgWuXgAeop/lA1WScZq0jgjIqkTYY0PtVGaHg4Fay4IpkkIbpQwOfjA2044qJHAWhpcdKoCzC+DzV5GBrHSX5q0rd9wpCLJFQTR5GcVODQwyKlgzHmTBqsyVp3EYz0qqyD0qbiKm0+lSonc1KIx6U9UApOQWJIhxUpHFMQYqUjIrGQyvIOKzLscGtaUcVmXa5QkU4sdzEJxKRVqMnAqpL8slTQvmupbCNu1bKDNacLArWLaMRWvbmmBZFNcZFOBpTSuBnTKeapyx5HStWWPJPHFU5E9qm4mZbRk9BXJeNdQ2Rx2UbHplxXbuAoJx0ryPxHdG61SZy27DEVUdylpFmOxyTUsAyc1ATV21UDbk+9aEIfeOiWAiDfMTk4rKxmrU7mSUnOQOlMSM7utAm9SNYz1pXBAqyQEWqsj5bApiIzzRRSqpY4UEn0FACV6v8JNASRLnWJ4gSMRwbhjnqSCa4nRPB2p6xc+WYntlCB900Tcg+n9PWvbPDGgSeHrF4Zrw3RYAr8m0DtxTSEdLGjMQNo6ZI9PxpPnSQ5yR6VUEpDYGPmXOM8n8aJLl8n5tn90E53f59a2TJaLplZcH5mP0Az+tPW5KsVcAHPAJ61mJO6bvMYOvXdkZUd8+opJriORSzHKqMgMOWH+fSq5hWNRr5BjfgA8L705rpFCrnIJrnWlClCmXjI+Xk4B9Oaie/VFVpHxk4HvS57Majc60eUV3Bs0y5s7WfO5cMe4rF/taCO2aVpeVXgDHJ+tQWviSK4j8yHJAByhB3AfTFNtS3Hyst3mnGzQu00bJ/Ksye7t4ITLJMioBnOavx6xBJI8a3OJVGXC87fwrI1Wx02/gMvl7bk5xJb8g+m5axlQg9h8zR5P40106zf4TIt4uEB7+9cexya9F1/wu8cZmWMPER/rEHT61wV5ZS2khDj5ex9aJU+XYFK+5WpaSlrMY0mkp+3NOEYzmgCMU/FOKccUzFABikp1JQAoq7pgY38ewAkHOD3qkK1dBiZ9QjfDBFPLgE7ffiky47npOubY/CVnGEZgZBj/Z4/lWLZptIwcZrU8UMBa6TFknEbP0x14zjtWfacCp6G/2jobCaRQAHOK6GzuSVw3WuWgk2YrZsbgMQKS3KlY6JGDU5o8g1WhlBxVlXqzFzKUkHzGhIytTyuAcnpTA6Ho1BHPqPCA9qeIwO1MDbTnNTo4YUWKUxpjBHIFULq3IBK1qEcVBIAcg0rD9pY5e4dkYgiqxkz0rorqzjmUhlyKyZNNaFt0eWX09KqKsV7RSRVV3zUgZhViKEEjIqz9mUjtWiaIZSV2z1q0hOM0xrYqSRSIcNis5iRcUZFKU9KahwKlU7hWJVyPcy1ahu8YBqErTSmaBmxFKDg54NWV+asSJ3QYzmtC3ugMZNFxM5QT5XrUf2gnqaqurKDiq+8q3WrEzVSXnOa1LSX5hz1rBhfOK0rWTBxQBvK2acTVWGTPerANQybEUoyDVUrV5hkVXdRms2MhC04LSnilBxUIBRxTqjzzT1qrAMl+7WfcfdI9a0XX5apzR8UJAc5dL89EJIIq5eQcZqlGCDW8dgNS2Y5rXt2NYtsea1bcn1pgaSnin0xDkVIBmpYDGHBqnKtX2HFVJhWUtxMx75tltKcdFJrxi/YvcyMepY17RqCBraVTnBU9PpXit+Nt5IOuGNbQ2G9isoyQKt7jEmQOcYqsgywqzcnlQOOM1oiSuFzTx8pzTCcdKYzmmSSMQTknFQFdxAUc05I3mcAD8a6DTNBnmJbys4GSoZdx59CRTAyLXTXmcAgn0A712WkeEidpkZowybhIFzg+wz/Ortja2do9tsDCSZsKGHzA9wxJC4zzW7bhYmBgDby27AO1XA9yM5+ntzTsBp20EnnRQGVAkShFKncWYY5xnAbp+fStmTUbi3KxqQ0nDKvlndg9gTx9eTWRa6jECi7AcPh2ZM579f6YqfWImfEiltuN3lxMUJz06Z/WqAJZ2jnE2DvkGWZjjI9RgHiprS/WIgkxsofbuB4Yjjgdz61kG6BgxIdwU58hx/PP060ilJI9gieSQjeo2oCQByBxg/nRcLHRSTKyl7eMFsEFARkfTI5+vFRgRzwH5ShUc7P4fX6ZrGjd7YoZGUp/AB8pA9MDv+VW/LhnnSSVXa4QZVlfBI7exouDRmy3EekzljIzLzld29WzzyDgr+v41Rk1iKSJ2UM20g9MDH9R0qfxRaym1SYuAyjlSG3Ed+c4/SuM8zH8DNzzk4H6VLkXFaHUxXUk8JVY1wW3g5+6QOhxyeKckotZknWZ/LfCmSE859GB71ztndEfKyko3LAjJ/Cr32iRonxuQODlsblb3PvQmOxuy+dv+0xSqgK5cOwBOOnzDrUo1CKZzBho51AXeQdwPr9PqaxLC+mKujyNtI5yuQT0/L3qW9lZL9W8naGBLrkpGvYfX61oiNmdTo7rdStBLGBKmdxCDY4PtWP4i8FwXKPLYKofq9uMfp/hTbecwXdu7KqbSACpyCp9x2+vNdQZI3QOFZdpx5menH507iseC6loj2zM0SnI+8ncVke3evZdf0zz7ppApMrdG24Eg/wAa8/1XQySzwjEg6j1qJRvqhHPLzTsUwho3KsCCOoNOBBFZjHjB60Mo29KQU5vu0AVzxSHmnlcnNIRigBCCOoNdR4Js/P1ZGLFSpwpAyAfeuWr0P4fRNa+despIQcDs3tUSdjSCuzY8alhqtrb/AC4igHQc8n17isu1OAKvXtu17qEtwVIDtkKece1PjsNvOKzlNIbk2xUmGBU8F75MwOeO9MFmKje1ORxRGSZEpNHZWkgdAwPWr6mud0e4Jj8tjytb0RyKsnmuPlTch4qiVKnFagGRVaaHnIFUjKRSaZ4x1zUkV0GPymoplPpVbyyOQa05dLnO6jUrG5Hchh81OcisVZ2j+9zVmK8Ujhs+xqUjVVLlp/WmBQwzigTI/GcGlxg5FUaqQw2qscgYPtUZiZO2RVtORUyoG4NQzaMjKZfaq8sG75l4NbbWo64qFrcZ6UmVcxo5tvysKsJMuKmuLDePkGDWa8TxHBBrJ6CuaKyAilDA1npI2MZqUSECi4y8DS5xVITkHmn/AGgetA7lGS3yvSsy4typ6V0JiGKry224EEVdxGFE5Bwav28mG61DNbFGOBTUJGKAN62lzjmtBXyKwbeXkHNa0Mm4CkJlrNROKcKVhxUOIFcimmntwabjNRy2AACalRTTVX2qdV6cU7oBCvHSq8idquYqJ15oQ7GRdQ5UjFZDRFJDXRTx5BrLmg+fOK0QyGDg1p27VnIu18VdgYCqEa8R4qYVWhIIq0tIQpFVplq11qvcyRwQtLK6oijJZjWclqJmVcoCCDzXiWsII9TnQdA5xXfa74je+nNvaExwd26Fvc+1cHr2BqTkdDg8Gt1BxWorlOHlqkuuqH2qtG+1we1WbrDbZFPy4oW4N6EGaFjMjBRSJG0jbccVqWsQjUnAz2zWiRI+2hSFQf4u9dBDKjxjaoYlvlfYMk99xPX6Vilt3U96mgfcqqwBYH5cjk+1FgOltLxxA9sjRA4JyiA5/McflWlG0TxxxiXdkZyI8c8DB79uuO/FYUF3MzBZNmE5dFXcevfk5/GrYvlaAkSIzu3Pyg7AfUKen5dqYzorYiN9n2/emT5cccYRmzgHDE+3Tjp0q7bXqjEMm50JwAeDjHU5OD+lc9DeskkcckUe55CpAQJu45yCefwOOhqRpICwnUSRhs7xt35+oGDgfWgC5qFvMsnmWbDewwqsrDaT34xjp3qBd26JpAjTFTvOcKce+R7ZyetRTyxCKLym3ALt+UldzexJyCPoaRl8thIAwYL8qu5YH1Occj8vqaVwLkzqIxJJy2/IYD5iAO53Dj8/8bMM4BtyxOTw/wAvT3/2fy4zWaJ3i/d7ZVdj8xZQQw+mefrV+2jV/Nja4UIRuVZH+6f4iQRgA8cUAWtWIfTAI2l24JKIduR+mR7fyrzS4lRZDs37c5+bg5rv713XTpd0imIgAooxz2x09unBJrgbmBydzsTuYhc57fXtUsuKJM+WwO44POT396mZ40l3RnaGxlR0H9PxrMVmiYKOcnjNSSTyg4O3jj5VxSKNyyljFyhOSzZBUcYA9+9aZud0abzGYj8kijo2euOexxXORSDYjkg7TnAq/JOpgcoS23GVODgjoT7VomQ0XrQuI5ox+82PwuckDtj29a7DRbz7ZasCUjdARJjquOma8/0+9Z5GRtvz5HzHpkdfbBrpNKv1trxGmR9kqfNI2BvPfHYDPtTuSdEix3MDQyhncAnBGOPf3rA1TQ/tKs1vFiYcFCRh/r6H+daFxNDZ3iNudfNIZQvB9+h/PINTzMiXCy8bWOw4Ix/sn6/nTUrMrlujyfWdGMod0QidM5U965YEoSpB465r3HWNJS7Y3UW1ZQP3if3h615t4k0Q28puIxmNz27GnON9UZrQ5sSDFDSAjFHl4OCKAoU5NYjFB4qN25IpWbPQcU0Ak4xyaVwJbO3e6uUijGXYgAYr2jSNIj07S4rYAg7QWzzlvWub8A+GmQLqlyBj/lmp6/WvQjGB0rkrVbOyNoqyMlrUBulN+zj0rUaIGojEBXPzNibM1oQO1MMOa0GjGahZcHFbQTM5NNFa33Qzhh0710tscqD61iJHk5rXsj8mK3jK7sZ2sjSRcilZMjpTk6CpccVqTuZdxBkHArPYYroHQFaxrtBGx960TOecbalN8EVSkyCcVZkY4NVWya0UTllWsx0d5Ihw3zCtOC5Ei5VsisxIt3WrcUGDkcVE3Y6aE3Lc1o2Bqyhxg1mRsy981ajmHQ8Vlc7ItI0VYEUrIDziqazDPBqwk4xg0jXmuI0Q61WltVk6gVdyG5oxSYGBNp7RtmMcelVipBwRg10zQhhVSayD5yKiwGEwJHFRkEda0ZrR4iTjI9qrMgYYp2KLAIIyKCKqW10HAGathgaYFeeEMDxWTLEUcitxiCKoXCA0wKcMu01r2kgrEYFXxWhZyEYosDNpTT81FGcgVMOaTEROuTmkC4qUrTcVlJgCipRTAKeKhDH0xhmloNWhlaRMiqUsRJrTZagkjzzWi2GY7ptenxHDVPcR8ZxVZTg0CZq27jirq9KyoG5rSjOVpslk4ICkk4A5JrzXxX4iXUrlrW2LG1Q444DnuTWx43142kA0y2cCWUZlYHlV9PxrgC7bcEksa1hHqyGyOSRQ3A+f6msrXCTdK/BDKMEDAq/JlwTkg9gOlRajD9pslcL88Y/MVcthIwQasQs7tsAzUAQswUda04IREnv3NQkMnhhEa5HXFSDAGKjjGeSKV3OOBj0Aq0hEnHr+FKMs2AM/U1WV33Adu57mplOcgYB6UwLcE7QfeHyH7ynOD+VasFxJvM6KCmCFLLu59z649eKw1GQTuGec5GQatWNwYi0JyEfGVGcZzwQB1P1pAbzXfmTLIGL7DuDPnk+gPJOfYf4U6adpIY/3oV1H7sRsrDBz3PbpkHpVNpVOJlRSxBXeMrzycg8nr/8Aq5pDcM0W3zNoC5BkwTz9MZ5x+dIZrgs0YWUBd20Fg2zcuOoK4LDA/L0pkYmtpQr8q6gb0K7BkdM8YYDt0PSs6K9CpmPyUk3Eg7svnjnb0J4q5JfKyyL/AKO2Bu3Bcgc9B2znH60APfLTJMzLJvyAqBRvx147E/TtV+3nNsol8wn5v3i7vyyT/PJ/Csk4cHBSWCNgEzLlST2Gc9uhz2q7ayIkDo8mJFODg5aNc9NoHX6H1pgaOoKGtWjeSOIHg7j8zjjnnOR6HPauQvrcWucMeRkdwfoa66Gby4UEsrqJAMlRtH1BKkd/asHU4i1wYg5kJy/IB/HA6VDNIM5pyzNnaB79sU/gLgHggYyKsXEIVuRk54K56/iBUZQBVO5Tkduo+tIpjo3YKVySBk+1X4d/JDFjt4H05rO6hQCQOT14q9G+0BQzDoRnHJ+tNEsfGBJcKYuN3Tbj9etbMVwluscqsQxYHKdFx1yM/wCcVjxEJIwYfL1RWcYHfnjBB/wq9Z3HmDLqFePBUoQS+DgYyfTAqyGjqr0wz2KkMo25ZGLNtHfr1/CqlvPG8BXIJZd69Pl/Pnv05pFuo5tLdXZZG++VXkdumfvAZ5rDgunguJVjZ2QZJAX7vboRmpk+ppBX0O3tLlbqzVpyBInyHnof/r1Q1LSYriNiYCUPDr/UU/S/31s6ogGRlsAnd6/StGzfMJilclM7WVuw9R+NbQd4mU42Z4hr9iNN1SSLGEb5k+lYzPuGK9R8c6Cbqwa5jTM1sSSMfeWvMYbaWZwkalmPQAVlNcrEhq88AV1XhLwtLq1x9olQfZYz8xb+L2Favhr4fTTyJc6j+7iU58thy3/1vevTLWwt7OBYYIwiKMAYrlqVUtikNt7eO3gSKJdqKMAVLtqTZ70Yrgk7lcxEy1C4qywqGQU4bkyZUcgVCRk1YkXiqrNg11rbQy23J41q7A23FZqTBSKtRyg9KunTd7sidVbG7A4I61a6isSO4ZcEVp284kUAnmulxdhQmnoWGGRVG7hEqEEVeNRMoYYqU7FyimrM5eaNkJUjmoBHnvXQXNqHJJFUTZgHpWvtDzpYZ8xSjQg1ejTgUC3I6CpkXaKwnK52UaXKAQY6Ux14qaoJjgcU4IuWiIt7IeGOKet2w4b86pPNtOM1GZ80T0Lou5sw3oP8VXIrlTwTXNh89KlW5ePGDxWVzp5TqVcHpUi81hWupKTtc4Na0M6t0OaaFYneFXHIFZ1zpuclODWmrA0ppiPMorjYRzWnBeZ4Jrn9zKetTQzkNSLaOk8zcODUEjA8VUhuQcDNStIDTJZBKOc1JbtgjFROc0sJw1MDetn3LVxTxWZaPwK0U7UEklMxTwaRulZSVxpDadmmGkzUJDJM0oNMBpwqkUO6io3HFSUjDitEBRlTINZ0i7XrWcdaz7he9MBIHwatXWoR2FhLcyEBUXjPc9hWeh2tXL+K9Xa6dbOIZij+9/tNVQVyGc5eXcl/fSXErs7M2SW7mq28Fs/MBSn5UPI59eKgOScgdq6DMkAZwTvP+6BSNKUTYnGeopbfIY56YpGALA8D0HSkwIDbnGQB646GneXgEgqGHZqlUEpnHTkZ71GWBPYj1NSAgDD5s847UhPHI/KnsT/CR071GTuYDPI/WmADAbIz+NPB5x29aackU5SNvIGfencB2dr8dMVMg3NuG4AAdMdarqS59D71KCAuGwT6jrQBfLl4NjO+QMj5ycn244pqNKsDlXGAPmXHX0qr5w2EBcHI46D86cs4KFCGEhyDhsfn6j2qRlxZWNu8RcqMgjPPPfn9atG5EgRzLGyFiPmIIOf7pODj1/CsdJkPz7mbIGcjkkdfwqzJdcmQorN1YcD6AEH/AD3pAXxdrHIrzTsyjEeQpDADvwMH6ewrRBhaNZIpG4AkUGIMzfQ8n144rCgu3jmIRigbJCq2AePX26VbhmEysroB8wDbfvHnpkfnke9FwNm2uwhykQaAkMDGxYjjpkYJwffvU1/MJy0jLEVjwThAwTPcgnoeOc+vIrGBJ+zOC6ELtLMxKnORyV5HTv8AlVt9Rt2sSs0TneAi+WfMLY9PXHr3zSZcdzMvN5t4xiFiAAduQU57jkVn/Lx83bNaV7fi4gVQ5PzZBxjn6dqyz344pGjFYkPkYwO4qyXI2ZYBevX7vbB/z3qquQ2WI2g4OTzSsH3/ACkNGSSM9ce4p3JaLrD5w6qVUjPT9cfWp47lFT5FPL5c4+YjH5d6zFlRHD5wQcj0/CnTXqliABjbjjofehMOU2LS9ktLaR+dm4KSOBk+4Jx/9anW85kkE8DZYAHcDyR39j/n6VgSTvIcu5zjGeDx9a2tNZSqK5KnkksvOfbiiTugh8R1+k3EkWy5U/KMHbxyD6iuukjjZBKqIrMM7hwGH1ritMWNQAPmSQBcdwOxz6Z49q7GycnT1LHDIcEEjI/D0rSm9Caq1M/U7dDjcNzMmGDD7w9qg0Lw7pOm24mtLaPzHJbeQCRn0q1ey/vYh90hc4B7Umlh4ZLqAr+6DeZG2c5B6j8xUYjWF+xFjQIAphFOZqiZq8mbuylYDTS2Dio2lx3pnmgmqhDqRKfQlLVE9OyMUxjSad9AuktSvKcCs+Z+Tirc79cVmytmu+hA8/EVuVCb6minIxzVZQScVYjj6cV6KppI8n6xOUtDTilyBmrsEzRuPSs+3TAHFXAtYSkloejRUnqzZSXctOzWZFM0fXpVtbhWHWsWehCfclcZFRGMHsKd5gPenLzUsvQiMQ9KQwgjFW1QHtS+WPSosyrGY8ZQ1Tn71uSQq61k3du8f0remjnq3WxiT/eqNVyRVmWMljkU1YyCOKiq7mtDYFXApxFP20bc1gdRA3BFWLbUJrcjnIpjx+9RMuKpMTOittTjlABODV8TBl4auNDlDlTirMOoyREAnIqiWc3NEQc4qtkqa17iLjpWZKu1qm5aHxTEEHNXVmJAways4NTxyEY54qiXuaG/NKh+aqytU8ZyRTA1rRuBWrEcgVh20m04rYgYFaBFoUEUL0paloLkZFJipCKaBWY0JSjrRSZpjHk0lNpc1SAikqjMOtXJD1qpJySKY2Y2q3osLRnyN54QE964G6m8yQlss3qTWz4ovfMu3QN8kPyDHr3rk1l3OQM/XNdEVyoyk7k7MSQPujHXHNMHLMOmB3prsQPx6mlBBBJNVckduwhx07mkzuAJBPfpUecnmpFJJx0+lJjBnwP9rsKYcYI5JPXNHJY4H404YXjg8UhDCQq4FIOSM07AHPf9KQ9O1AAD82OaMjHfPvSHAI5Gfaj+LkUASR+vb1xTskoTgYJpm4heCBzTRIBwWH40XAkEjRoytuAPYED/APXTWlIbhiGxjI96j3hWGSSpPQ0rEbgecDuaBlgsrIkZwGjz8uMZHqDj3pgm2ttI3Ds2MH8O9QAjlT168GkbkseM0mBcSZfN3AqWONoX5cf/AK+lSo6IzbZNyhsqpG4depx0/wA8VnHk56fhmpI5DG5OcHvkZB/E0gNgF3KTCVvLOOh+6TnIHTtjrjjHvUtqxmcx4BYlSC3BHv1Oex/l0qnahWtz5zYIyFDITnnPXHr71dSCJpI87pGZh6lj7D1/LtQUmE6OQ0zyB1Lc4bjPXOeO1Zz4ycHIzwa1nileOUlnIIyNykEEeh6eneshjtwWBA9uT+VSbMjbr1J9M0gdh90kZ61JEjXDlI0Lt6AZrXt9HbyxudWZh0KHlh2HvigEjFSF3OFHNO+zsOWBA966F9LZIwytHtOeP72PvY/T65qrdWbxq6Krb15bkED/AGc+vXimDRjiML8xOQvJrT06d50EbS+oXc+Bn3/Soxp8j2yyohxnaOD19KvaPbxx5uHnWMDAyeMn0wf5/SglKzNW0mMNwgBJjLdemPf6e9dtp1wY0eJyST8yHI5NcQzW86RxLMkuwlgEchgDye1dNbS5hjmhcORgnJy23HXj/PSqi7Dkrl6UFrhfnzCUz0yu3P6VYspEVzEzYYDA9/SoYIS1ykoZnQA5XJwFPceuOlK4MMisvBQ4NXKzRlboWpGw2DkEdjULmrlyoliW4XHPDY9aqFc159WChKxnqVpCc1CJCDVp481VkTHSqptbGM073HibjrSNLkYBqqzYPSo2m962jSXQ551rDp5Ooqmx3GnSMT3pqDccV3UqaWp5GIxHNoh0S5NaFvFnnFVooulalvHgAVdWVkVhaV3qTRQ+1TbMVJGvFOYDbXlzbue5TirFSQgGqjzunIPSp5WGaoTHPArWkmc9efLsXYNRB4bitGG4DVzgQmrcEkiHk8VtKCRFHEN7nSJKKsA5HFY0E+7oc1eimweaz5TuVTQt1FLErqQRxT1cN0p+Kew27mFd6ec5Tis/YVfaw5FdS0YYYNUZ7RWzkfjWUy6asZHl56UuwelWjbsnbIpNg9Kwd7nQUnj4qJ4ztrQaMY6VC0YpKTEZrRHNRsMda0XjGKrvtHBFbQTk7Ilu25UnOc1m3CZycVcd9x9qrS81I0yiy0gOKsFajZPamhksbZAqxGwBqkh2tirKnoasRoxN0rUtZOlYsL1oWz4agLG2hzUoFVYm4FWA1JoQ4im0/NRMaVh3FPNNxTd1G6iwXHU0mmlqaWoGiORqpXMoijeQnAQFqsSuK53xRM40h4I32NN8pbuF7/4fjTitRvY4TVbnzAzbvvMTn1rNgAB3MDz0J9KmvySqjjgYqPb5aLxzjrmuhmAsgGecgUsY+U8gcd6YzFgBzn1oY4izk5pXGNDAtgc4qTgEevXFV4mJf61PnB6/l1ouA8t8xIHH0oLDGByaQNwT/Omlux6H0poTEZvmwSOlIecZ64oYAcgZz3NR/Nk5GB2pMBTgHjOaN5J9/Wo8knmnKODntQBKCMfMaYWJk6L7AilU8dSQPTtRwwPPT9aBjCSR2Oe9AJIAJ6Uo5OKv2GnSXrsIDkqMkHrilcCiIn3blz+VPjibeQRjFaElqIgwYkt25qB2jjz1GP4c5pXLSGLAv8JwfcVYjtyNoIAA5yTVBrog5Bp41GRc7JME9yM0rhZGnbh7e54Q4B2ttO3PbAPrV+B0jX5uBnhm5z6njg4/Dr1rEj1d0YEjfjPLHJ568+9Srqrs7ncAXOWYAZx0wPbHalcasmbxZrfD43I+VDBycA9eAcE80yaCy+aSVVjZjkA88Z46cHisG41d5YypmbbnO3PGfXFZ81/JJ1Ymgu6Owe+IKiJg3OBGD95R7jn1qwv2mbyxP5gjbbkJ1EfY7zx2PXmuGTUpo4zGpAQsGPHOR79fwq3Frl0YLiPzsiUDeGGehzxQHOkdpDa6iIgYi6EDEZ35coemFxzgfzzVO4s7mKB2mkyd2FJBPHb5hx39axdO1hAnlyuyEjCSnnZ6n1JrrtP1nTXt1gRlVnO8b0yynHoAQRnHP14oKUkznp7S8aJUcOqLnbuGOOO/c9agisL55FjEblCd2GJyvv8ApXZ2D6e05YsYY8qQRJ69OM8c549qnup9KtIC/wBpEm1gWVWyWGeo6cgen5Uwskc3Z2Ib5UjLN05ODz6Dp610miGXDwGF9yNxnrgeoqexudM1CHzbG6idI23bTjcBnng84/xpUn2TlX3PyCm0gNn1z1x/jRcq1zWs5HSfyXk3RuMq3QNnt9anlkjS7yqFpHBQ54Den41HZW63dq3lYWQfMw/vejD0Pb271CDHPdf6Wq+eowcDkH39q0WpjJWZr6RLDIskDYKsOfaop4TDM0bdjVXT5QJQxVQwO1sNjBzx/n0rZ1OPdAlwOdvyuf5VnXp88brdGDdmZTAYqrNgVK0gzVWWT0rkhTlcynOKRUm4GaqsamlfJNVjya9SlA8TFVbbB1NWIos44psURJFaMUOBW85pHJQpOo7sSJNvNaMCAjNQJHzzViI7WrhqVLnuUaXKi0g4oYZGKVTxSkVzyOuKM24Qq1VzGGOa1ZIw6kEVV8jaxFVTmZVKN2VliHpUixCpxFT1jxW/M2ZezUSFY8EEcGrKTEfe5pNlLsNaRiRz8paik5yDVpJM9azQCOnFSpKy9eabhoXCsjRJqJsEYqJbgHvTvNU1zTVjuhJMidBmoGi6kCrLnvTKyaNrlVk46VWcc1fdciqko61DiMqS4VM1hXFyfPAHTPNad5OqgjOKw5WDSFhXdhIdTCrLohoc+tO61EikjNWFQ7RXFccWyIrmmMlWjGaaUPpRc2iUmWpojkUroKYPlarTBltOMVeibgEVno3FWYWwQKoRt20mQKuqayLSTDYzWojcUxE+ahkOATTiaikb5SKBXITJ70nme9V3fDUK9Ia1LQakduKjB4oY5FSzRJkMrc1yXiWUPKsYKkIvTPrXVSY7nivOby++2ajcvjILHaPatKe5M9EYGpuTIoBJ+gpztlE4A+XtUV626U44zTJmAk2jovFaN6mQ4Nlh/KnSdMAgetQjIYE0rsCpzSuAJkucDpUyH5eOtMtsFWz0pxO08dKYEgPXJFNbByKj3jd3yKVjnJPFAhCcUblYZzk0yVsKKhV8GkBNnmnDpTBzzUsfJNAXI+RnPSjO3Gen6UpBySOlNDbmC4z7U2hjhGXkAHVjgV0kLJbWQdtnPJQgdfYVg2w3S4PC4yx9BUjtk5HA6YFSyok9zeyMDsIANZcjk9+tWJGwfaqqxtPMI06k4qW7DYkFtNdPtjUkdzWimiSkZJyDWnbiCziCb1TbxnG764HepUuGlk2wXkbOeiTRGPP45rBzbehqoLqZD6QU6uahbT1Xq5rWuLuRCUntpI39RyKob2lZsHI9aSlJjcIrYiS2hBA2ZPck1fhsInkCgAnuMYxVnTrATOu4suTweoz7iun03RhJHlo0WPq27I5/2eOM/l9KmU7FJHPL4egfbiIc460reD1ZCVRw2cEDtXqmm+E5JFQKocFcbieTjo2PUcAj3rpLLwgzwRtIQkpJWRuuCMFWA9yOR71CnK+g3ydT5xvPDV7bn5PmXOORVKTStQjbBDF+g56fjX1Jf/D6xunlVJTErOHQddn94D26Y/Gub1f4WsDu0+dZI0RVAkHzljgE8cY5zWiqSW5laEmfP3laknybiRjGG70httS7hiDx1zXoep+HZbGVoJVAdfQg4rP+yHBJAGOtJ4ho0VK/U4pZ7+1UbUZOcjatOl1u9nkR5J33IMAg9q3bjUrZXaKKOSdgefLXIFZ09ra36F4V2yDt0P41qp90Q4PozX0Xxjqdrdo4u93G0mQdvw6mvWNPvrTVkUSRobkqCArDLDv9a+eRuhkKHgitTTdSvYplWG6MZ4AJbA/PrWyZCd9GexSxfY9QaIhQoO5GzjeM46noa6ywYXdo8JB+ZCvI5NcFZG8v7KC7u7iKW6i++0ZzuQ9ye/8AOuvsbgwxxFeQR1x0IreOqMpx1Maf91KyE52nGapyyjmtnxLHtukmU/JKuVrA2lulOME9TxMXUlCTSI2OadHFk1NFBuOSKtpBg9R+VbOajscMaM6juxkcQGAOtXo04pscfc1OqhRXHVqaHp0KPKIBikLgUkjYFU5ZCBxXHG8md0moo1IpgwAqcHNc2l4Y5ACa17a5LYzyK3lTdiKVeMnuXwKa0YzT0OQDUmOKzSszobuioVwaKsMme1QlSDXVTRyVXYSlopRXXGBxSkFBHFOBpCatrQlPUiYVGWYdDT5DUJbmuKselhmSrO3Rqk83IquKG4FcrPRSLPmVBMRgmoHm2jmsq61REJG6rprmdhS0KuphwTxWQHINX579Z0K7uaolCWyCK9WlBRWhxzk2y7FH8tXIrZmAGKmsbXf8xHArchs+OgFeIdEYmA9uy44qB4jXWmw3rggVm3mnGIEgcUGq0OcdKgZea0ZoCvaqjL1poZEhwatIemKqkYqaJs1qmSzRt35BrVifIFYcT4atOCTiqJZfLVG54NIJBSMcikxFGQfPQoqaRQaRF+apZcESIvy09h8tOReKVh8tSzZIxdduvsWj3U4OCEIH1PAry+ybzJpDk7ipHTrXcePrwQadBbD70r5/Af8A164HS5g19sP8QIz6VtT2MKr1sV52VpwpHOaru+6Q4FWbmIpdyNjhBnmqOap7mZOHzH70wsOhpqnnFNY84pAXLd1KkAYxSM+SRUEB+frT5PlNO4gJO6pATgVECCM1IDgU0MY/PFRHipc9aaULLkUhD0PyU5GwcZxUQ4GKcKALCnK4HB7D0pVQcHgHHpUcbYIA59vWpCW3ALTGTw/KCMdfbrTZnw2OPvelO3YHoR6VTkc+Zgnk1LLQrN1JIq/pFr+5adjhmGB7AkDP61TaNfLRF+81bNo0cV2IH4Ty9jd+uDn9KzlfoVG17sje4+z6isBsGcLKEYrjfjOCFyCAfTir1i0Wq6ffh7SOOS0xtdfvDdnGT0JBH6/Src+k/bds8d4IJtmx5NpdZQOjZHIOPz/OoBbRaXYNp9m5uLq5YGWXZtX0AA9Bnr7msue6sacutyhqDNcWtqWZvmj5A9qghiKkY+Vex71duEA2iIhkhG3PqR1qxbWLGZXldVDD7pT/AOvSegLc3fD9ksUTzXDMIsfMXwn8+9b+lSW8JEQjlKs+6N3KjOfqwce+Pyqits0Qt7YY2ghipB3Z7Yzz+FW41zqCrAdk8fXyjlgfR5OAPyrJls9B0vVrW4UwwuvHQqQw3dcgjr074PNdEj3DrE+Qd/D4/h7j+R/A1haNawT2K3KKFuE4kyAHJHQkjqMeldLbjaAjctuwePyNVFGMnqPU3Im2bCVU/K2eCD/UVYMW7KnJHftmhTlvqM49fWpFJyAR2q4q5mzznxt4Zle1N/DHKFTLMAwwB6Y+vpXmmraeZ9FkVW8t3kWNznkAnkV9JTKWiYKqsxBwGGRn3rxTx/pdvY6TevGrwEYbywMqGDDp6fSipSs00bUqnRnk127Wl81nas1tbxcHyxhmOOpPeo2WaaykvWH7yJseZj74961HFvqDrJcRFpBxvjbaSPeq+rTotqtjbqsa/wBwHO0dyT3JqU3okU1bW5zuohWmV143KCaZbruIXOD60+7wZNo6AAD8KfaRncMH+ldSVkYbs9B8JXQZRazAjJCZ6jJPHXoc8V6BaYeIRqoV0+UquQP1715dp26GZZDIWddvzK3KLxgMO4+nHv2r0SzLpcSHYyqcMQo7EDkcVpTb2KqR0uaesR+boytyWjkwSf4RXPquBxXS3G99MlUkMGAOfesFYyHxWjdkeXiYJyTHRR8jiraR80kSYFTouK5ak2mVThGwgQU1uKmJqCVsc1jKVzVRSK0rdazpnIzVyZ+DWdM3Nb0IXZxYutyxKxyzVpafMUIjbp2NUo0yc1cjjw3Fd81pY83CuTnzHQwHAFWRWdayEgKe1aKHIFcco6nvQldCleKjdMgmpsUMvFa00RUV0UsUoFSPHjkU0CuyOx5slZgKGFOxSGlII7lWU4qo0uDjFWpqoyDLGuGuelhdydXzyDTyciqa5HepRJ61yXuemtivfMUiYg9q891e5nNyQp6GvQLwkxMB3FcjdWwZ2LKM110YJq5hUk0c7HfzIfnNatrqqgjcaq3ViuCQKzJIHiOQa6k5RMdGe1aVArRqMVvpAAMVi+HzmNgecGuojQFRxXk3O9RKwhHpVe6twUPFawjHpVe4QYPFUkJnHXtmOcCufmjKOa7W8j3Zrl9QhKsTTsIymFLHw1Oao84NNCkiyGq3DL0qgrcVNE2GqiDXSQEVJnNUI3watK3FAiUjNCrzmlUZFSqtI0iOUcUP0pyjimt0qWbHnHxJLC5sx/D5bH9a4O0mMV2jZxiu++JYzJZEdkbPp1rzbdh8ito6JHLUfvM6K+w1pM7AbuN1YOa1pZxLpA253cBqyM1TJHA/NSkZpop2aQAh2sDU054BqA1LN9xfpQAiN8tOLDpUK06gB+adGT0qMGnA9aAJCtJ3xTlbPBpCMnincQnORirKfMKqk4NTxt8oxSGTAjt0qqw3XAq0QAnHSqj5EmaGUti/CAbyEEZGc1JM7NdySA4ycjBqmGOEYEce9bdnbQX4YuJQrD5GjwWD+mPQ/pSWjuNK6siuszrkqXVjwShwKZ+9LDMz5I+Yg9qrOJYGUOhRucbjVhZd4G4qCB0FV7pPvHQQRBUUpsIwAM9AK0tPtEjlThmIPXgE5/U1m6czG2hYlRxk5xgAeua2rf7+FbDepGGIPt0APv8Aka4JPU646o0oI0M+E3ltu1dp6eufT+dWVTau11RkU4UdEU5544GfXJJqHTRvuJXPAyMt0H0H+NaKr5rbgTuztVwMkeyjt/8AWpIGdd4XuFjjZH5+XC5Xb/kf5xXTwP5kXytiVQFYuvK+hIrzvRLltP1HbIx54Ysen/169D0942QxpnAxjgHgjI/pWiMZIvx535/P69Py/wDrVYHUVWlJjBbjsw/r/Sp9235RyR1q0ZMk61zXjXwonivQpLRJBDcj5o5O2fQ+xrow+e3YGnA1sncWx8b67o1/oOqtZ3QkiJHQZA9CPwNVC4C4Tv1r3D43aEraUuqJA8rK4Yyb+I+x4Prx/kV4IGy+MVcR8zGspd8Ct3S9Nea3dlj3k9kPK++PQ9P0rGx+8HvXW+HJLh4HgiJYgEhUTJUcEt9OBx/hUsunua+n2sT+Rm0Cs6sgWJtrZX+IA8HtwK6qETx3sh3BnhiUvzwDWNbxTXCh7mWGRImLq6O28LkAjHVTuPf0PrWmN0WtXAwy4zgbuv8A+urp9WVV7HQS4NoMDhxn61RZOeK07wqLeBF6bQQaoZrRbHl4mXvWQ1eMVIDTCKUcVjVSRFJybHMarytxUjGq8xrlS5pG83yopTvkelUWO41Ynbg1XUZNepRjZHgYyrd8pPCmavxoAKr26irsY4rScdDbCKyJIjtcGtCF6oAVNA+GwTXO4nqwkrGkpBp+M1BG3IqwvNC0Leo0rxULJg9KtlaikXitoyOSpAgIpjVIajarZz9SrLVFxyavyVSfiuGuejhdxiinYpBTjXGj02RugYYNY2o2oTLAVuVl6xJtibHoa3oSfMZTRzEzIeKz5olbOKWSYhjUDT16d0zm6nqmkTmJ8DvXWW9yCBXFWBIkGK6S2c7RzXjI9iKVjfWRWWophlTVSOQjFT79wxWiRjMy7ocmub1KPOe9dRdjk1hXcJZWJpsg5VxtYiomOMVauo9khqqRSQMcjA1IDzUC8GpgciqILcT8DmrkbZA5rKR8GrsUnSgRqR/dqwgyKpxMCtWomGMUFx3J8cVFIOKlDDFRuRmoZtc81+Ikqy3CxKcvCgLj0zXnDHk11viDUBqXiDUwv+rIKIP92uTkUq5BrZKyRySd3cuwSE6e6+jCqbHmprYkwyJ261A33jTZI8Gn1CDUoORikAd6klyEX6U3FOnGFX6UwIl60/tUS04GgBwPNSAcVFUq8CgYd6dmjtSArnFMBGNPhcjI9aaV5zTkGGFIC2GBXHeqr8tzUh4qMk9e9DC49flTmpreeS3lDxlgw9Dg/nUTFWxinpuzgt19KTKTNPUr0XVtC2GE2cPz1UDg85P649qoRPuOO9MlYLBtycA5x60y1YGYZ4pbItbna2AC+SvDEJuKbRwPU9hW5ao23dgM7e/Qk9M+/r1wKw9LYSRrlTljhQ3P0/xPtxXSWcYMwQcBepPV2I5P5fzrje5vHYkRWjYHJcqSBnoT7Dp/nvW3aZBYk7DsxvAztHt7mqAQox2qWbHJzwParNphdsYUqSwZyTnI6k89s/nQkS2SyQBZkWMEBeDg9T15rrfDGphzHAZsHPBP3m/x/kOK5WQiSNSfuMoJ59TU1vMbWdXRsnoewHqT/n0q0S0eryYdRx14qPBFwxDHbsH49R/hVHS9RS/tgqufN6kHrj19jV9Qqybs8vkBevHXHtVWb2MXo9SUA7MH6U5G7HGcU1RgDP5k0hkUc7lwDzg9quMWtSW0c58QfDsHiTwfe2s0nlNEpnik2ltrKCeg5IIyDj1r5SWEKpNfamVkQg4IP3h14r5J8X6W2jeKtT03YkYinbywowAp5X8MEVtHUSOdALSKFGa6fRrRbeZJ3icqQcYJUn1AIrD02LzbxAc8dSBnA+leiaNc5sRA9tGJo3DxgJhCGxjDc4PXg+tJm9OPUtQ6lLa6fBIttHJIZskzEErjGADx2Hfg8VdL7dSeU8DO71HIyB7im2zwCWSyhgDvkrMABgKTgHGTgjj2qSa0j+z/AGlG3BpVhj44AAOc8c9KuD3CsbLyvLHGHOdq4HHaosVKF+UUEU3NJHkThKUrsYBxTWqSmNwK5qsnI1prlInOBk1Rnf3qeeTHFZ80mcnNFGnqY4qskivI249adEvc1H1arMaHivWhGyPn3+8ncswgACrUfAqvHwAKmBxTlsepRjZE3WmkkHrUbPikL1k0dSTL9vcAnaa0Y2zXPo+GFa1tLlRWUlY3g77mivNNcfLQhzTiMjFKEtRVFdFRqiapZAQ2KiNdF7o4JaSK8tUZavS96oS964q+h34V6kYNPBqIVNGhauRa7Hpt2FArK1WFnjbHcV0MVrn8adJp6sCTiu2hQa95mFSorWR5i+k3Ur4SMn8Kvx+CL+aAOzqrEZ24r0K10+IzrlR19K6F7eKO1J2jgHtW85cuxjHU4i0ifd0rorWNsDNQ21sA2cVsQQYGa89I9TmsiMIRUqjgVOYRtzUZGKtIybIJYw4rPubXKHitbbmmvEGFOxNzz/VrYxNu7VkEYNd3q+nedC20c1w80bRSFGHI4qGrDRCRT1Jxg000o60JiY7NWIX4qsRTkbaaZJrwycdauxPyKx4ZO1Xo5BQNM0d4NU9UuzaabcTqCWRCVHvTg4rnvGl6sHh6VN+HlIVQO9CVy+bQ8vhuWk1nzZW5kc7z9eKpXkfl3Lr70zeUlVx1U5q/qyDzFlHR1DCtWYFax2NI6PnJQ7cetV3BDHIwafaP5dwh9xn6U+8TbO+OhORSEysKkWo6UGkBbjw2AadcD5RUMTDNWJBmHntTGUwMUtKaaWoEKDUgb5ahzzTlOTigCbdximg4OaVcZwaVwO1AxwbNSHg5qtyKlVwQAaBEu4d6Y2O1BqMnHWmBJE2W2mptxH3R09aqrlnXHBz1q6RgZPTpzUstEMzsUzgCktCfOGTii47AUltxMg75pMfU77SCkYiG0ZUYIz8q+i+/XJrotODNMfMcAYJJ75JwT9Ov6Vy2ls3mRwxxAsq5xnoT0B/U111nF5LMM5bAUE9fUn9a43udBsRwIRkcKew6n8PTFAtzvKswDt29BjAA/A1JbMm0ZwQeigc/l3omk3ktGdq9Pf8APpTbsKw4LtQbPmVOFGCB0xz3qEX1nandczCMH5eBkk+uO5z27cU0XGU3M67wflRSWB+vc/ia5a8kvrXWipfaWgMwCYDCIHLdGwe3A64HpVU9WRJ2R2j+IdNtNFOqWmpKk4l+zwxL94uDypHPGMkn6V0Wn+JYr1hH/aiyMDtCKNpc+oHYe59zivEtc8QS6zJDePBFG6QtDGUQLu5J3EDvzjPtWRDrNxC++CYoM9f7xHT6rnnHc13xUYo5JJyd2fU1tbWt4hKXolJ5IR80NptoACkrKw+Xr0PpXztpnji90hDPBcuZAUVQT/CG3MT7sev41003xbae2Pm2mZ2UBgCdrYyDn9CPQii/mS4M9NW7mS63i5lGDtB4OTjOCK5/xl4Hi8bL9qQpBqkceI7pRgSAdFkHp6EdPcV5hcfEHV7iVfJcxlSQGA6g5GceuD+YFT2vxC1SyhuGS5cI6CNA5ztUAYx7k024vYajJHMWNlc2WvTWl1byxXkMnlyqpwyOD3/H8Dn3ru7W1tZRM0O51PzhHtthLA98YOfpwfwrA1nVINdvbPUJlQXd3bKkj4O1nRihJwOpAXnFdfbjFlhTligO9MFmKjk8E8+46isXa9jvpr3blS1nt447q+DbY2ZWzuLMR2X1OD/TitqcCY6bFkAMDKQByM/5Nclq8yyPbpAyOJJGmYZ4ZuOncd+K6+N/P1SNdpAigBx/dJ4/pTTSRnW2L2Kay1JTHYCuaU7nHYryNtNVZJ+MVJcSd+lZs0nbNb043OOtOwTy5Jqm7bj7U5mJNIqkniu6lTseNiKzm+VDo05Bq2i02OOpwmK220NKFLS4AYp26kPFNLVDkerCnoKzU0vTGam5qNypaIk3c1ctJ/nCniqINKGKnIocbnN7WzOlgkyKtCseyuPMUc81rxNkVjJanVz80RsseRmqbqRwa1MAiqs8PGRVwlbRmFSHUzJe9UJOpq/MME1Rk61hiDfCbkajJxWhBGoFUYztOadNerCpwaMNRu7nbVloaySpGOlK1wGHFchPrAViAc0lt4hzIFbIHqa9PRHNqdrbAlwRWmGLx4J4rH029jmQEGtUHHSonFMItpiW0IJFaiRAAYFUrQjINaceMV5TR6eohjOzpVN0w1aLH5apSfeoiSyNUPpSmM4p6HJxUmOKsgz7iHchGK4vXtOC5mQYx1rvZRWDqUStG2ehFBWp53Th1qW8h8i5dB07VAOtZ2sMcaKKaaLkkqPg9atxTVm7sGpUlx0piNZJa4/x9OGggUsSRnANdEk3vXH+N5xLJGqnhFwfrVR3JuzhW61tyL5+joSctFxn2rEbhsVvacgkt3Vvu7STVJXJMDlW9xV6YCa1jkXqow1VbhdspGKsWT7yYW+6386QFI9aBUs8ZjkINQ9KQEik5q2j74yDVIGp4mwadwEcY4qE1ZmXuOhqueKBiUoJptLmkIlVsmpD0qAHFSBhigCQr8uaaDilRs8UFaYxyvk4NNcc8UAEUoOTQBJbAGTkHPr6Vbft0wKgthhjxn2qy2KTKiU5/wDWfQUWxPnrgEkc4FJKfnZjzWjolu8ju6EA427iM7fUj3qZOyGldnU6MPKij2qAzZJ+bOOPmbPsPlHua62Hc6lhhR6ddo9hXNadAse6IfLhghHoq/4t/KunhLBY4hlnOCIkXJIz1Y5wAT69q429TqS0NSBgLfIwMjJZjgYHcn0/Oo5JSYxuZcuM4K5P4jtmnMrEKGYKHI+QLvMhPY+v8qilO/cwyrEdSdzMfwqZMEivPJHBhBEwbGTKq4P4YauS8UWsdzbrOHnheP7m45b64649a6WcIuXDhW6bl5J/4F3/AArMvrczxhJVVFzwHPLfRRyT9ahVGmX7NNHnpZorARy7kx8rHHI55xTUa4lAki025aJRhTs4xXRajpkjZlZVMKvuT3I9RWROs1zcKLp57oZx8zkIPYYrvVVSVzkdJxZVa8MIzLYXCY6krVu2Zbm0kuwPKgj4MknAY+g9TU1/BbWMkCaXcXQJTMhL4G7/AGQD0+tU5Ea9lWS+uZpFj+7luB7CqvpcV7aD1njljlePLLGOuOCfSq0izM6yTMWjPUJ2rVtbUTJ5VtCwT0HQV08XhX+xo4tR1W8ihjyCYhGz8H+8e34VPtFsi1TvqyppSLGbG3lkhiEC7nEh2sxJ3HaTxkdPwrrLtjJYNuQDaOQUPyg54YjkduRx7Vxlu06eIGge6NxaTybleIeZlTySO4x3FdvDC19bpGygoxDCToxPGGzngcdDxinuzVaKxzFzIZdZhjLebtZFJbGcgZOSOv1rsNCfzxcXXUPJtUnqQvFcbHLvv7i4Cj92XAGeh6AV2Wl4tNPhhB5C5P1PNKqm46HNVmluaxaoHcYzURuPeqs9wB+VY06Em9Tiq4iKQ24kyTzWdK+Wp80uTUGCTXqUqdjw8Tib6JijmrUcfIpkSHPFXI4+ldWyOSlDmd2PSPAp5XinqpxTitQz1qUbFdhUTCrLLULCs2dydkVyOaQ09h3pgppHHWqC0E0E0zdVnA56k9tOYZQwNdJbTB1BFcrmtHT7ry32OeD0rKceqOvDVbe6zp1NDDcMVBDKGAqfORWDZ6CSZm3cXcVjS8GujmXIOa57UU8vJxxWU/eNqasypLOETNYd3dNM5GeKnvJ/kPNYqzHzOTXfTXIrIUndlgqSpqhIrI2a14l3ICKq3UBQ9ODWltCSzpGsyWsio7cdjXpOlX6XkQyc15E8RI+lbvhrWXhuFhd+nT3oT7g12PSLKfoK14phgVysMhQgg1sQXGVGTXmM9aasazS8VWc5NQm4yMUgkBPWkjJkynBFWAcjNUwwp6y8daTmVGIs5wM1iXjfLWtM+QQawL6TGeaFItQOV1cATkjvWYK0dScO/B6VnVLZlLcdTaVTkU00yCJzhqQPSt1qGmJk4lKmuR8SKzc4zxkmusFrcNC0wiby16sRgVyfiOQgeXyc9eKuCurkNWOTPL10WlSCOFSe5rnj9+tuwH7sHJyOw71cBFHVIdl0+OgNUVYocit7VUD421z7fKcGpasBelxcxb1++ByKpMtSQTGNwe3epZ41PzqODUgVMkVIjcU1hg0g4oAuKwdNpqB12mmq5FTFhKn+1TGVjRSkYOKSkIKUNikpMUASq/NThg3TrVMcVJG+00AWT0qMnBqVWDCmEc4pjLdqMLlgc1LIccDAqOFtygE+3y06bABOecUmXEpMSWOa63Rovs9sgWHe55YZ698D6nH4Zrl4QDOmQDzXW2M0dsHZsluFQAcgn/61Y1XoXTWptWLRwny+XMZBdgpIZzzgfTOfyrodKu0up2SBcRRN+8llbHzZ446E/U/hXKPcrZxbnRmHTylPLE9s9h1ye/OKm0nUg8sbyv5Mi/6mC3iLuo7hF6Dpy7c8cYrmNzu3bMB8tkzxjJ2p17nq38u1VPLX58yly3ViM8+nt+FJOUKQOAUGA5DHe+T0BPrUMl6vloDFIzHgFuAfQDufwrOTKiiN9iSB1B3E8SP/ACUfl0zULwxxs0k7Ro/8QUfMfqx/kKuFnVwSuyTHzEfMRnnAPrUBQO3zAdOmOM+/f8KzZsjLuQblN+zECcDcdqfj/erGvYI1cFDvbbhRjGR/sjsK35VMtwQrZdOTI5yEH+yOg/pWRebRMyxAszDljnLeue/4D8aIuzKkrmNtijs53YFpDzuH9D9cD86gtYdyrlsKx5OOR9Ks6iTFprAkbpCBn1A7DFXdNs3cKm3Py4A/vYAz+PNdbm1TOVQvM3fDGnGK7wGDBF3ZIyW/x9aPiDdSLbLA/mRgjhxGVGD/AAq44I9VPpxXUeGdNVbTIIbbkpxXDfE+9uxrUVo8kyQKgKRYAQnuQQcn8cYrOhrIqo0kc1o8f+lxl2Uq33gz4GPrXpiBLKL7SVQbB5MQU4WQnheM9R3xxxXm2jZl1CJBEnmMQBtH8/WvTpXjijszJImyLcyx7Ryxwo/r9a7jJPS7KVtosVrbRGQfvNxeUE9T1FTtOynH9alkkbZ8/DHnHoOwqkxzXZSp3Wp81mOMvP3Sb7SajeUsajoArdUkjxZYmbA8mpY1y1NC1ZjQ8e1aJWM43nK5LEmKuRrUcSdKsqvFSz1KULIcBgUMKcBxTWqTsi7ETioH6Gp36VA/Q1FipVCB+lR5xTm6VCzU0cFeoKWpueaYWoU1djicydalXgg1Ch5xUwqWtDqpPqbGn3WQFY81qq+RXLxuY3DCtm2ulkQY61zVI2R6+Hqcysy9I2VrntakCQMTWy8nymuS1+6Jwinkms6cbySO57GNcuGQ8VlSfeq7NJnpVNxur0LGRd0+5BbYa1Li28yHK1zCu0Mgb0rqdMuVuIQoOaLiMyFB5hRutVLyF7KYTR8FTmtq/tTBL5ijjNSvape2YYcnFKw07HVI3NWI5itVY+eakrzrHrTZdW4NSrKeuaopmplJArKbaMo2uaCyZFO31URjT2fC9a5+ZnVFKw6WfAwD0rntUutoOTWjdTbUOTXL6hLvNXFsU3YzZ5fMc+lV6cxwaZmtEcrHig0INzBRnJOAB3rrdI0AwBZp0BmPODyE/wDr0SlZXJjHmZhWuhXF0Nz/ALpP9rr+VbdrodlbYYR+ZIP435NbotyPSgxLXJKVSW50xjCJxHjbUv7M02OJceZM3GOwHP8AhXlupyvcYZzk123xOvGTVrW28vCpDuDEfeJPP8q4F23REA855Nd9FWgctd3mZTcMK2LGXaBisiYYOatWUvOD+laRdjI17oBw+emK52ZfmJzXQTPhOR1FZFwgDE9jTnuBRzg1etXWTEZ6Yqmy4NCMUbIPNQBYniKMeKrmtGN1nt8N94VUdMMRSAgzinKxHNKy+1MIoAmyrjpzTCMUwZHQ1IGDDB60AMNJTytNxQAlFFFAE0Tdqk3HOR1qBTg5qUNmmMmilKNz361ZlcSR5AxVDrU0T44J4pMaYiOY5FcdQc10ls7kx3C4Zxnbkd8VzUo2tx0Nbej3PnReS2Cy/dXHUe9Y1Voa0nZ2NmO4mjHlqoZ88bhnB7sT3PpUctvOpaaGdhLj5mzy3t9Km2gMCWxhTk4796ltkO1WdCOMkY6c8D8a5XK2p1ON0LaeJ7u2njguynkrxtSMsx9ST1J985rq7G+h1GSOWO3ePCkgzH5/chRwq+/txXMzabA/8B34zwehqCE39gf3LNIvAw3A9s+v4mj3ZLTcmzR25lSLLR/MM/L2Zz3+g96omYynfktk/KQCFPsPX69Kw/7VuNhSa3JJAyecn8e49ulIdYYIwGmFnwBvkJYn0qPZs0U0bAkIIVABn+IZYn8Tx+lVzCjHG3K5wT2z3yfX8fzrK/tPU2TC2SIB90laY93qVyVLy+X2GwH9KXsvMpVPIreI3hhlt7NCpnkcbsnAVRwM+g/ya6XSrfzPKlUgBlAIPY4x+B6/niuWl0M3MjSNuLtzuKMdx9zWlp1rq8EiqrgoBwGyD+PqMVrKzjypmK5lNyaPTvtw0nS2mO0SbWYgkcKoJLdenT65FeD3byalqU95ctHG0srSFS+QCTkgAmu+1xxZ+Dr4zzvNdXbrbq2MYUncwHtgYx7155b6dJd3HlW0Jkc44A/X2rejTstDCtUS1lsaFpfWenMku83EiA4VOAPfdXZaHHf31y2t6qSgcf6PB29N35dKpaN4YhsCk92FlnXkRkZVf8a33dmbLHNd9PDyveR4eMzaCThBkkshY1DRnNKBXckkfL1azmwAp6Rk54pypmrEcZ5OaZVKg5ajI4vUVajj9uKWOHnNWVj4pNnoU6SiCLxUwFCrindKk6o6AaY1SGomNIrmsRt0qvJ0qw1V5OhpWMpzKkhwKrsasSdKrvyKpI8+rJt6DCacvSmYqRFJYUzCKbZLGDmpwtEMZxUwSpkz0aVNpEdTQzGJwc8U0rTGGaxlqjrheLuizc36pETurj726+0XDNnIHAqxq1yyKUB68VkBuM0qULanqwm3HUHfJpq80xjzQpwa3Kew+SHetO0+6azuQG+6auW0YmXjrUV9pzBNyDpTZJ1cPl3dvg4INQW0ZtbgxOPkY8VkaFqJU+TKfmFdTJALiPcvXHBpAXIugqYLmmRDNWFHtXAj1ppsckZI4qUJjrUsSDaKeU9qzkrmGqZFVaecRrVl+1Zd6eDXO4O5tGoUbu5L5waw7mQsTVmefAIzVBjk9apKwpTuQMM0wVKa0bGxcSosR/0n7x4yIlPdvcjoKZG+xd0C2it7sSSoXlVcnjiInoD/ALR/Sukkvzn5V/OqltZJBCI0Xgdyck+5qcwjHAzWUpSextGMVuRSXc79DiovNmPVjVjyevFGxR1rPlbepd0tjlfFvht/EGnAxti5hyYyTwc9jXj08VxZTSW1zG0cqHBVhX0SzrtI6CuU8VeGLfXYDIgCXSj5JMdfY1105cqsctRczueKTL3zTYXMcgNXb+yuLC5aC4jKOp6HvWewNamDRstKHi3flVCc7qSKX90FFLTbuBUfrTKlkHzVGRSAfHIUbg4qZ/m+bNVamSTAHtQAM3rTSARkVM8YcZWoDlTSATbRg9qUMO9OUg96AEDYGDTtu7pSlVxmm7lXpQA1lxTcU8yBhSZBoABTxxTKXNAEgNLuxUQalz6mgLk4kDrtb86WOV7eQOhII9O4qtketOEmOp4pDudXY6/bOircqUlJIL4+UD1zW5DdWN0MpdJsVs43cnHf615wZFz0oEg9awlh4vY3hXcdz16GNYyxVirYP4CrKocYwD/vKK8eS9uI8bbmUEdw5qwmt6lGGCX9wA3X5zWLwr7myxUeqPXto5JRD7EUbEK/LHGAenHFeUJ4k1ZWDDUJiQc/Mc81InijWoxhdQl9R04qfqk+5X1mHY9TeLgEIB34wKRInOH8v5u7Z/nXljeJtYdWU6hMQx3HnnP1qM6zqUpKm9uGBOSDIaX1Sfcf1uPRHqs6uMgsoGMk59x/9eprK5luLpNOguFMk8myKJDuZjzx7DGfyryUCUnLyszN2Br3j4MeDVsrF/Ed1H++mBS1yPur3b6np+dbRwtt2ZyxPZGBrXhSb7Xb2+pPKkcAYiBeNzHq278B0p0FjbWUQjtoUiT0Udfqe9e061o1vrumtBIAsoH7uQdUbsa8duZbjTr2WzvYsSRttbH8/pXoUpxitjxMbgquJu1L5EbCmFc1egkguACjgZ7GpHt8DOK6oVos8CtltSmtTNCE9KnSH5hxVgQ+1SrH7VtcypYZRd2RJGfQVYjj9acqY7VMqe1Js7IwSEVemBUgWnBfanAUrGlhuKWlxTWNFhgRUTmnMahY0CbGs3FQN3p7nioS3NBhMYy5qFkq1jNBjFJyIVK+pT8upoYxxxUnl1PDGOM0uZlQpWZIke0dKUrUoWkYYFQ2dsVZEDDFQv8AdJp7n5jUE7bYWNQy0ctrEg83BPeqQbgUupS7rrHWohwoq4bHoQVogx5phagnmmE1aZRr6VNiVVzxXUm1Wa3Pqa4W2lKSqRxXe6RcCWJcnNNMVjktQs5LK681Bgg11GhaktzGFLc4wan1LTlniOBya5izMmn35BztzQB3kFW1XpVK3PNX0+7XnXPcnHUnibGBU5GRVMEqc1MJsCk2YTpt7EFxlc1iahKVQ5rVuZxzWBfEyA4GfpWcmZNNKzMOVyzk0yrf2GZlL4Cr6twKXFjaYa4vYy3BCKNwH1/wpLUVmLZ2U00qRxqDKwDfMPljX+839B3rrLHT4LCEIuWbq7tyzt3JNY9l4h0SCHZFKyZOWkfDM59SRWvFcw3SboZFcexrOfNtbQ2hGJcMiDoKiaYn7oxTApp20VkuZ6FuyI3Zj3qM5qZhUT8LWiViHK+xE7YFVJZBg5qWV8DFUZ3HrTbBIwfEOjW2rW+2Rdso+5IByK8s1PSrjTZykq/Ln5XHRq9jkbtWPqNjBeQtFKgZTVRqNbkzp8x5PGcNU7kk5NXNX0SbTJyV+eEnhh2rOBzW6dzmasRyfeqM1I/WozQISiiigCSOUq1THZJ9aq0Z9KYEjxkGozUiykcNyKQ7TyKQDASOhpdwPUUUYoAMA9KTGKOlLmgAzS5NJmigBMmjJpcUYoATFGKWloASilooASlFAFKBSAUcU4UmKeKBgKnhUlximJGXIA61YkYW6+WuDIRyfSgpHQeEtHbxF4sstKQZEj/OfRR1NfW8EMNpaxWsChYolCqB2Arxn4H+FDYW0via8X97Ohjt1PZM8t+Newm4LHOBWNSqrWL9m2SByje1cr478NDVrE6jar/pcI+YKOZE9PqK6j7wzTomwdp6GuelUaeo2ranzr5kkL/KePStO01fbhXz9DXVeN/C4s9Q+128Y+z3BJwP4G7j8etcPLYYzsOCO1egtVdBJRmrM6eJkmXep4qZVxXJ2V9Pp0oDZK5rr7WaO6gWWM5DDkehrspTvozw8Zg/ZPmjsKFqVVpwT0FPCH0rY4kN20YqTZRtFMZEajapWGKiamSyNjUTnipT1phXNJom5XccVAetW3XjpUBXnpSbM5K4iGpccVGBg0/dUMuLshcZqeNe9V05arcYwtKxpHV3H1FI4AxUjMFGapTSdaRsMdsmq12222Y04yZNV74/6K1Q9C46s4u8kH2xuaeGBSs+8mxfsPepllyBzVRZ6UVoiYnFNzSbsikqrjsOUlTmut0K6G0A9a5DOK1tGufLmCk1SYmekRgTRVzutabhvMQdK2NPn3IOauzwLNFyAc0EkEHWtJPuisy3PetBGG2vMTPfnYe1RSzxwRl5HCqO5NVdS1a3sYSzHJ7CvOdZ12W8cFpSFK/dHb2quW+5hUqW0R0mreL7SAtHbxmZ/XoK5i58U6hNkRBYx/sjJ/OsWW7TbgJkhjknv7VVN9uboOM9vWqUUjmcm9y/Pqd5MpUzOzNgjLHFY93JdmRi+4E9cHjNOa5D5I3H0J7Uq3JXIHIPY0hBZ2l5cNvSQDaeprp9PvNQ09dyTqZPfisux1GO1XbGgVW4YHkA+orct0tNQj2xyjzl4JPG4/Tt0qo26hsbGneOZoisWpwAqf8Aloprr7S/tr+AS20odD+Y+oryK7tp7WQhxwenoaNP1a60u5WaEkAdRSlTW6GpHsRAPWoJOlUND1231u23phZgPnQfzFaMi5GK52ijPkySapTDmtGRCKpypyeKybsaxM2WqUo61pSx81Slj56VNy7XMq6hWZCjqDniuO1bw+0Raa1BK91rupozVKVMdRwauNSxM6fMrHmLKQSCORUZFdrqOjRXOWQbH9R3rm7vSri2JJXcvqtbxqKRyyptGZiinlT6U0irMxKKKKACjFFGaLgFFFFAC0lFJQAtH4miigAzRuoooAXNLmm0tABRSZozQA6nCmZoBoAlFSIAccgVACe1KOaBmgLlIUIh5c962fBnhx/EniK2tGBKM2+U+iDk1z8KjNfQHwi8Ntp2htqdzHie95TI5EY6fnWFeooR0N6UXJ3Z6NbQRWdrFb26BIo1CqoHQCpo3O7mmbc09I2DdCa85ybOt2SLkTZGDTgMnFMjjYj7pqwkDZzWkItnLJoo+INMfV9AuLWJgs+A8Tejjkf4fjXi8032m3kZo2S6gJSRMc5Bwc/SvoALgYrzL4geG2sr7/hIrGEyRvgXsQGf+B4/nXp024xszKGrseaXm4pvXOPajStZlspgCfkPUVYvIm0yZJcF7GcZikHI/wB0+9NuNNjmXz7c5U8kelaX0ujRpNcsjefWL2SPzrFI59oy0D8Ej2NP03xppV2/lXRa0mzgrIOAawbB3gkGcqQadrvh8a1F9otUQXSgtI38T/0qlWkupz1MHTkrpHokaxTRiSJ1kQ9CpzTXixjtXhun6/q3h+6KRTSLtOGifp+Vel6D4/07Vglvd/6PcHjn7ua6IVk9zz6mDtsb0iYJqu1X5kyodDuU9CO9UWRj0U10po8yspRdrEYGaCvFSrG2PumpPJb0qJSSFCLaKbLUDLV94mxwKqSI3901nzA1YrMdtRFzmpJFkJPyMfwqJIZmb/Vtj6U1YwcpPRIsw+tWQcLTIbaXA+Qj8KsfZZT/AAmhyR0wjO2xUmf5azppq1ZrGds4WqZ0e6Y52gfWs3OJsoT7FRDUF+3+imtiPRbgLziq2oaRP9lbkZxWbnG+5vGlO+x5ZeNm+dsd6niOVqteqVu5AQQQxBp9u+VFUegloWt2KcGqEnmlVhVpjJTU9pLslFVc0qNhhVEs9F0q4BRa6CCYH5TXDaFd8BS1dbC2QDmr3I2YlvKBjNMv9SS1t3LMFOOAT1qsbiOx057uQgkcIn94+teea/rT3Mnzb9vZCe1eZGOl2evVqrZC6trz3MjIjkoOAP8APvXPveMXOWySaqySM5PzkgnOKfBblzk9Ks5ea48ysSduWGc5zTQpLDGce1WvshEYHBY9vT8aBAAApzzxzSAagbeNvUVbtrE3DiNiItzgDLY/DHrRHEyqG2AYGee/0p6yE7iUUdue4Pb/AD6UAyveWFzZkeZHleQW69OvIqol1NDsEZMZU5yprXe4e6eJJXmmRVyyF8Y57cdP8az7mFAxjQs2BuOU2sP157UEtm/petR6gv2W+dDIThSeCx+uMVLf2L253rh4j0JFcVIdjrtJUg5JB6V0+leIm2i1nUufugMe2Ov+f6U7tFJl3R719O1COZMgHhsHtXqFrcJdwggjfjn/ABrye8gCKs8Tfum4A7g+hrqfCupNLaBN376A4H+0KiotLopPWx2cluTyPyqpJaOT92rEV6ssYYDB7083A9K5WjVSaMmWyf0qnLZPzxW49wOpFVZbpOeKyaNIyZgyWL4qlLZMa35LqH+6Pyqs91bg9Kku5z0lhJz8tVJdOfGWHWuke6g/vVUkuLfB+aqVwZyN14eimJLJg+orDvPD00XKHcPpXoEs8OMhyKqmeDGH2sD61pGbRlKmmeZS2s0JIdCMVFivRp7fTbgYwAayp9DsmJKsMVsqy6mLo2ONxRiugm0FBnY9UJNImXOGBq1UTM3TkZuKMVaexnQ8rke1QNG6nlDVXRLi0MxRinYI6jFJimISjNLikxQAUUUUAFFGKMUAGKMU7FGKAExSgU4Cp4reSQgKhpXGk2QBamiiZmAVc5rbsfD8kzDerGur03wqSwAjJORWUqyRvCg3uZHgzwfdeItdt7XYRCSGlbHRR1r6ls9NS3to4IxtjjUKqj0Fc94P0S18O6aNyqbqbDSMO3oPpXR/2iv8I/WuKdaM3eRs4yWkUXI7WJTnbz71OI1HQAVm/wBok/wij7dJ7URr0o7GTpTe5qDAp1ZQupG708TSHvWqxceiJdFmnTZI0ljZJFDIwwQehqisrg9asJOM4bitoYiMtGQ4NHCa34TgsIp1SEzaVP8AfgPWL3X2/lXns2m3Hh2/WFmaWylP7iYjhh12n0Iz+NfQLokyFWAKkc1wmuaPFA8ljPGX0+45jJH+rb29x1FVfld1saRfPo9zgZrNXVZohwefpSwvJGhAYqcYOKfp0jQ3c+n3JyyNtB9cd6kuIjFKRW+nQa7GP4l0JdS0s6hY2iGePLTuz4baO3vXnAUq4dTgjpivXCInUw3Cl7aX5ZFyRwe9ef8AifSbfQdVe3sWneAqGR5Ux17Z74o2FJGt4c8X39o6xSSebEP4HNeraNq1hrChRhJu8bf0rwCBmaVZM4PsK7LRNThnaNfMMVyvQ5quZmTpQk9UezfYY8/dFL9iT+7WZourNJGkF04ZsYWT1+tbu72rKc5LqWsPB7IpmyT+7URsE7rWgX9qYX9qydRj+qw7FAWEf9ynCxQdFq7v9qN/tR7SRP1WC6FVbNP7op/2RPQVPv8AajeKPaMpUIorm1T+6KT7KnpVgt70m4VLmy/ZRK/kKOigVQ1SFVsnJ9DWqzCsvWpAumynOODRFtsHBJHgOtY/tO5x/fNUYGw2DVvUm33czHk7jWeh2yCvT2Rxs0ic0CkQ5WkB5polkopelIpzSmruI0tMuDHMOa7/AE6cSwjmvM7d9r12ugXRdQM1aIZh+LdYWQi3iB8uHheQOO1cHNKXbltx7nOeav3tybhiUBGTyDz3qCO2dsYXAPNcO50t6i2Vo8w3bc5PSultoFLwLHbIvzncfwP8qgtocW4BI3D5scdOeQaPtLJGFEiglyu4DkkjnNBSJnQPCd4IwcbQowcH1/XH1qo0LPnykXzOiBiABz1I71dsrd5pk2sCyjI54wew6Dr6VtDTFaNYihDSqMMAMAcnA9+vJ7dKVgucu9+yI6lGUlSi7gBsOeT702QjymlAAGAgCdj7E9TV+601rh5VLqVSPcPlAyOxJ6DjJ9a5qZJLaRgwwTjigRqJd3CyCC53LIqj5CPvY6dO/Xr1rPur0NK2TuCtkB14z3H0NRC5UzBlQITnJUc81n3UjGQliSRxzSJJrlklYFcrxgEjr7VXidUkEhAIQ5IPfnpUfmlegHPrTS60DOq0bU2uibKZBscYUgcKeo/KtPR7ptP1qMEgCQ+W3Pr3rkLOURurxoDIpyu8cZ9a6yZTe2iXO3yrhANy5B3Y/i9aRcdT0GKQxyKwPDdR6VphcqCD1rCspvtdjHLn/WKG+jd61rKffHg9RXM0dD2JWiJqrNB1OK0DjHFQsMjFRJBFsxpofaqMkPJ4rclizVSSIelZM3i0zCkg5OBiq0lt3Aree3BHSoGtwe1K5Whz8luw5FVpLUn8a6R7YbelQtajH/1qfMKxzL2zFu9QNAwOOa6drNc9KhktBjGKfOLlOZeJs55qIo4710T2Q9BUTWXsKamyXG5zzBj1UfiKiZARygroXsRnJAqu9gM5AFXzhyHPyW8bdY8Gq7WMZOcGuibTh6CoXsO1UqliPZrsc21h83ynimGycdOa6I2JHeoWtCDVe1ZDpIwDZyCmG2k9K3WgPTFRmHFWqgnRTMb7PIf4aeLOQjJIFapjI6Cm7aOcXsUZwsn/ALwqZbHB+Y/lV1V9KnS3LnGKTm0UqSRUitYl6rn61qW7iLG2AE+4qSGwzgYrUg01j/DWUqhooWGWt1eFlCYUemK9O8GaLdmNNRv3PPMSH+ZrM8I+FlunW4uUxboeB/fI/pXp8Uaqqqqgcdq46021ZG0YpbjQtTJEPSpVXgCplFcyp3HKZCsXtUyxCpAtOArSNNGLmxqoKlCigCngVoopGUmxQlO200ZFPBrVIzuCsUPqKZqFnFqVg9u/Rhwe6nsRTzzSodrexrWEraPYTXVHkPinSpbQpqUSkTW7eVcgDqM4Df59aRit3aRzrzxzXoviHToplZ3TMUqmOUexrzTTo3sr2502c/PGdoz3HY/iMV1UZX90t2dpIhaLIIPIrP8AENlda3o/lG4ijWzDOFcZZzjgZ7Ctx0w5HvUQURyg4wG4JrVoNGeMpKyybW4wcEVqWo2HzCxx2I9aPFli2na/OgZpEY7g5XaGJ647HHtUWmlpHUbcgnvQQnqeheHNZkdPLmztUctivRNL1IXNuNzAkDIJPUV55penhV8yPIfHzLnqfSug0/Ebh92Ef5Sh6g1Mo8ysaQmo7nWtfQA4MgqM6hbD/lsv51w2pw3FpdFcsUblW65FUd0x7NWPstTrTpvqeinU7UdZV/Oozq1qOs6/nXnZ809Q1CxTMcbaOQL0u56J/bNkBzOn50w63ZD/AJbp+dcItlMwzgCn/wBnze1UqT7E89D+Y7c67Zf89l/OkOu2X/PZfzriv7Om9qQ6dN6ij2TF7Sh/Mdm2vWXH70Vg+IdegbTpURsllxWM9jMozkVk6zHIkBz6etXCn7xE6lJRdmcVcfM7HvnmqLnBq9N95vrVCUV2PU85vUuW0uRipj1rOtpNsmK0/vICKSAWM81LjIqup2mrKHIrREMReGrotAn2zBc1z2MHNaOkzbLteetWtCWcrDE8jLuyR1ye1aaxAQjIHrkHoKS1gwCSDkDO0nHHt/hUzlyCI+CeOnSuU3JJyC43SJkqBhesY98detLZ2pun8wbEjB2gyPjP/wBem5kKJao67DjJxt75OeOeufpW5aQtJGtujAKc4OMDjkkH9CD7c1Iy5p8UdoY5AQ5DDj7pyRyQfb2/GgysYxEgztlCjfgMcZO3v9eeOD61DMjMyKs4MLggZOwEE8H0/E+nem3Cp57BGXeVBjOApzxhscnHv/jSAFuIZYpP7r535YgF88DOTjPHrnB6Vzt1Z+YjKfIJC4QZJYc9ufm54z/+qtsRxfaTIgV5eAPkDbSD3weSTn86q3E7l4hGiskhMZCnADdz0H5/pQwOQMJjcq/XPY8VC8bTIQuCcE5HoK37xEcR8JtX5402EDnqCQcnFYrIvmMuCAcNlf4QakDLYFCwPUetLsIweCD0Iq4I/OmZFGWYnr39qqzwvC2MHI6+1AixBM0UgIbAPDcdq3dI1MW8oGCY92AT1PGOnf6VzcbAckgeuauBo1CSxHBzjYR/WgpNo9c0p41iARl2Nl41B6eo/OtKJ/LmyOjVxPhPVlm2WMgCMv3AAeT3JPuOPyrsgTIu5WOCOnoRXNJWZ1RfMjXVsjrSN0qtbSboxnqKnzxWbYWsMcZqu6DPSrDVGRms2XErmMUxo/arO2mlamxd2VWiyOgqLyOavFaTy6OVCuygbbnOKhe2zmtQp7VGYx6U7DuzJNt2xUTW3tWw0ee1RtEM9KRXMzGe19qha19q2zECaheD2oFcw3tvaoXtx6VuNbj0qu1vSTAxHgx2qF4B6VsyQY7VA8GR0p8wGM9sM9Kga2H92tloahMPtVKTCxjNa88VWkg2HJrdaHrxVae3yvSqUhOJmwx81pW8AJ4FV4o8ORita1QECiTBIsW1tk9K6nQdH+13Shv9WMFiO3tWdptqZZFRRya9A022S3hEaDA6k+9ZSZVjatIkhjWOJQqKMADsK0IxwKoQkA4q/ERisXG4my0igipVUVDGasKRQkZSbHBSaXaRT16U7FaqJm5EYGKcBTiKMVXKS2JjNKeKMUvFOwhRSE4pcUEUwGyIs0RjcZVhivMvGenPZXdvqyA5jIimPt/Cf6V6d0rK13TYtSsZreUfJMhQn0PY1pTlZ3HHseesVkKyjkMM1L9nDqQVrM0uWVLd7O5G24tZDFJ+B61vwgMua7+lzO7WhwnxI01rjRbbUUjGbU7JXaXnB4AC964DR7lIboLKfkfjFe36vpEGr2E1hOu5ZRmP5iMOOh4rwm90+60y9mtp4yskL7Wx2qR+Z6tpt4t1afK+xozwB3rcWP7XbK5O1iMhh2NeS6BrptrtVlYBD1J7V6do14tzpzMk24nkD0qkBp2wF7bG1uMeahwCetVnsthIKjitW1dZYs7QH71M8aypuwc/TFTPa5EkpamELdc/dFSizHoKuNHsbmmM4QZqaTTOSrJxGLbADtT/ACB7U0XNH2jPYV1q1jhdZt2HeQPamvCMdKPOY+lNeZgtLQpTkQyQg9q5jxHEBbufaulkmY4rmPEMjGBvpVJIISlzo8/lHJqlKOtXpTyapsMk0pHpIqhtjA1p20wZMVmyCiCUqwFRexRrkgVJE3NQIdying4NaRZDLbcin20nlzK3oahRtwozg1oiCsXyeMgAYHGc4FPWf5Aued2Dg8kY6VUyfL+8cnkmnwMryop3E/7vH+NcxsbWnRZYTGJd5IYEpkcHg8jH+PFaMstttWZCgIUlQDufqQcg9Dg5zyOKz49say7QhjWPaHaXkt2+Xox9BjAzVNbsys+XlX958g54IzwM5x1/zikyjaLG4ZQuwoZBh3JKqAOpIOfz98YphZkg8szSHawaMxv972PcYPQHnHSqasJbSCPbvZCGIc4JAPTP90Z6+pqZbnEjKVVi+5zKWAIOMnI6FsYwOfakA4yySRRp5yOwJG1CobJ5543dM5+opLxmuLUSIWLBixjjRQFHQ89j29KZIJIpmBYRpGoCKVwOc9MdT7HnmmFhHZmLe/QmUPtKcdRnsCQPbn3pAUZLhWVQpLFHJB7Nn2xnGAfzrHuYD9oGzAXbwmPzH4dK1bqXzoUhErqsZ2kqvzn2OOmecZxVC5LbjIwYADocFR2z+YHPekwMqbIkcnKDd93HP5U+3nUqfNUle+MZ+tSBW2kSg9fmPoOx/Oo3BWHcmVUsSMHjjGPfNIBk0cCAtHJuA9Bjn+lOE3lRGNCwDqNylQc/4VWPBzknHQGm+YcY/WgDRs7mRJkZGKtkHC8E4r1rR9RTUrITJ8rcBx74rxeJiG3A4IrsPC+spZXojkcrFIdrAdMn+L/PrWc43RpTnZ2PSInMTfMc+p6VfDbhntVFoW2YLdehzU9u5ZMHqOK5WdJOaSlFLUsYzFJtzTse1KBSGR7fajb7VJijFAEe32pNoqbbRsFAXK5X2pjJntVraKQqKGguUzEPSmGIAdKtsBmo2A9KQXKTxDHFQPH1GKvMAKhcd6TRRnSRVWeKtGTriqzigaZnvFzULRc4q8y81EV54oKKZiqJoARgir5Wk8vPajmHYw3h2Snir1mucCpri1Zl3gdKLKEmUZHFEpaBGLudfoUIRC5HzN/KurgPArnNMwoGa6CEgYyaxjK7LqRSNSJsH3q7HIBjmsuNwCeTVmOT0NNmNjWjkyBViNx0rKjlx1NWklxjJFIlxZpqakBqilwPWpBOCOtWpGTgy5kd6N1VfOHrThKCOtWpE8jLGaM1CHGaXzAKd0S0yUHNLiow47U7fTuiWmOIprIJEZGHB70oagk9qaeoanl/i+wOl69DqAG2O6/cTccbx90/iP5VJYyFoRntXX+KNIOr6RcQEjc43QsF+468r+v868+0e6Yjy5BtdTtZT2Irupy5lYJa6m5I21fM7pzXkXxSsILPxBHPbswa9j82VAuFBzjIPcnqa9eyChHrXF/EqxF34MivSE3Wcqhm2ZY5O3APYZ5qmStUeOLKwI56V6R4R1sv5duF+UAAgcfjXmJOOa2/DmpyWWoBvM25GM+lCY4vU90tphDOjD/VtwT29q2g6sRzw1cLZ3/9o2GEY/J/D2B7Gt/RtXW6hEcpHmdAAataoDRuVCmseeYg5rduk3rlK56/tJWzt7etY00oyszysc5qN4q43z6BP71lF5Y2w3BoNww6mup6Hn0JuS95GwJ+OtIZveskXJ9aX7QfWp5jtWxoGQHvXN6+wMTAelaonJ71ha0+Y25zVxYor30cbL1NVm6mrMv3jVdu9NnorYrSLxmq/RgatuPlqo/FQxo1rVgyCpyvNZFtcbeM8VqJJvWnFg0TRnFSt0qBTg1LuyK1izNmPI7DjGa0dLEUbGV33OnIG0FT6de+cVjMwPatAfu0UbR/vDsP6mubmNjRuJlBDkg7WAOWGSoPOCexOeg7VQkdI5yd+4BgATgj3+vWq73LKGQDBHHXjj0FQeafNyT1Oc4HJpAaNtOGZ42kb5m5DIAM9Dk9utXt63CKjxl8ZjALcr6cenB/DisRJzEcxkqOMjPb/OKtxXJYvJvWOIt8wcAhsj/PSgZfgYTRvGzOZQpj4OepyPmzx37+lQ2xlSFoMKm4gjBI+Ye/88fkaghuo88qETozRjr75Pp1x60SSQxuUIVCHwyxng9+/oePwNK4EUkihVlbCgAkIxyCwPOD1IPP0qNvK27ozJ85yVOAFH0781O6hZQzSKqEEbZBuUEjjBPA7c1XuAfNdGcPxnqCc/X26ZoAryDy5mHRSBhVTBU+/wCVNKgPIyqjsp+9nAA6Hj1NJM+R5ecg4B7EY9qjSTzQWJyeAUwORSAimUZbZu2E5AYc+1QMhUZ7dsVebDxSM0hLYA29+/UdaruTjgMN3IH+FAiAc/dU49Otadoqho2WQMSvIxyPUe/1rNQEgkCtC0mlWIxAAxsQ2CvP4Hr3PFA0z1Xw/eDUtFWKaTfLENr7cjgdCK14t0MoyOCME/1rgfDWrCzlxJMERWU/MMbgeCP8+ldyNrPlW+XncvUE9jXPUjZnTCV0ai4I4NLiq9vJnAz0q1WNjQTFGKWjNOwXEooLCmM4pWAfmk3VEz0wyGkPUlZqYXxUZfNRMzE9eKQ0mSmSmNIKhJY9KYVc0h2Hu/eoWkzS+U5o+zSNSuOxWd8moGNX/sTnrS/2cTUtsd0jJc9KjNbf9lZpw0UfU/lU6lc0TAIp8aFzgV0A0VfQ1ft9Dj3qNvPSodylJFew02BrB4nTLOOuKwI7IwXRXrz+dekQaSqRYA5xjmudutOMV1IpHIY1CulZmqabuhll90fSteMkLjriks7JQo6E+grYgsU44H4mpipIJTiUFZs8Zq1GZCa1orJAfugn2q2ltGD90Zqtepl7WJjqrMvNW4o2PAFaqxxqMBBTyyqKdjJ1fIorbv6VOtsam3rTvNXHWnYhzZGLc08QYo85fWm+eB3p3SF7zJRGBS4SofPBo80GnzInlZaUR46ipVVPUVQ3g04ORWkZolwZohUpdo9KorKfWpFm561tGrHsZOnIndFdCpHBrynxTYNpviRpogQlwvmAjpuHDD+Rr1YPuGa5L4gWby+HpryIZe0InAHdejD8ufwrohJc10Sr7M5q1u/NjXd1rN8ZWgu/A+qxYDeWnnjcxAXbySMd+tM06cT28Ui45PrmtC/h+26HqdmDuM1qyAFsZOD3roaGj5xY8U+Fyjq2ehprdBSCpJWjPQ/DOpq7BGPUdB3PvXZaTCWuidwDq/TNeQ6ZdNHImxirA5zXd6RqJN9bySFwJRgknOSKpMs9RsjJJEofnsT71LNZ7uagspN6NhgRjoOla0TLPCDnnv8AWoqrqiGlLRnL3+mLIpO3B7GuXu4ZLZ8NnHY16LcQgZ4rB1GzSZWDLUQq20ZhPAxnrFHJIxPU1IGpLi2a2cgj5expgNbXucrpyhoyXNY+rsSjZ9K1s1jasflatIExj7xy0n3zULCp5Bkk1ERVvc7kQOMjFU5hirzCqkw5NJ7DRUJIIq/a3HQZqi4pYmKsKyvYZvK4IBqUNVK3k3KKtZxW0WS0YcAJk3kFlXmrTTCYZJKhSSADn8B/jUKbVt87etNLkc56dBWBYjH5sjPFNJyecf4UEjtkVGGAJyOtICwOQDlc447/AOTTQwQhsZPX2zVcsc8U/dn09OeKLgShzG+MfgecVZEpltyCSEI2kqAD61Rc4GMBB3A7VLbv8pUbjwQfmxk9qQywC0YQM2RwBk8EfT/CiQpLHjarkLyw53dvwpXBYtuTfKQAMNwvr/npUQbgqSVXbyDkHP1oAZLuJZizlmHzA9xioCAXC84Hp1A/rUrmRv8AaKrtyOtMCFm3MSDt7dzQA5pFRcjb8w+Ut1+v9MVXIx0GF+8Pb1qd8Bgy8gjcu5cVAAMrgjdz9KAHBy0TAEbfTFS2zuuT1UcHHBH0NVyCOoPPtV6GOKNcykHP8vX8Dg0CNTTfKmRhOoeNgd685GBkH+XT0x3rvvDtwLzSkUh42jAQ/hjH+FcDZTyWosxG6PvXPzKeD2wcZz2/Guu0W7EOoCNnTcw5RVwPXAwMHBJFTNXRpTlZnTwt5cxRhzV/zB2rK2pAI1VmYLnliScHpya04gGWuZI6bj99IWp4QYo2D0piuQk0mDU+1fSlyAOlKw7kPlk9qPJPpUu8Ck8wUrDuyLyfammAVKW+XNRmQ0mPUZ5IHcUh2qaGb0qJqzbRSTJQyCjenrVc0lTzIpQLQmTGM09JkznNUdp9KcP1pc4chqpJGcciplZPUVkLVmPqMYz70uZB7M00VSo5z9a1rFAXBY8CsOHLMMDn0rbtx5cQBIzUTkhqDNYMiEcj8K5vxEVguRIo+Vx+tayv6Vl+JIDPpDyIDui+bj0qYyWyNORoq6fqCNhc5Pat2C6HHNeb6fe7bgDkA+9dja3AYAhgabkr2KlT6nSpOMdaeLoAYHSsUTZ704Sn1oujN0zXa7xjBoF4T161mq+RnFSo+RjJOKLoFTL32onvS+cc5qqvIBp44qHNFchYEjdjShiTUSDNTKuKi92DSQ4Z9akGaQKcU8CqRk2gGaUMRS4oAzVoi44PSh/em7abincNCysuO9PkgjvLOS2ky0csbRtnuCMH+dVQTVm2kw2K1pzszGcNNDwvQlks5bnT5/8AWW0jQt6gqSK6y0CzN5EjEJKpjcrwcEY4/WsnxNanT/iPqIA2pdIl0v8AwIYb9Qau2UjSTx7fvBgRntXrPa5hHc8A1SCG01S8toJfNhhmeOOT+8oYgGqQNaXiK3Wz8RajbLL5ojuXG/bt3c9cdqzBUkvcvW7Kqg5+bOMV0mm3Du0JYk4OM5rmLTdvGwjd2zXSafHvWIE/fBJP0popHsPh24/0dI9wI+9nPJHrW1HO1pcnH+rc5rk/DSmK2tt7K746jsO1dTMxcDIwMccVc1eJMtNTRkZZItw5FZN1F1oiudhKH8KlkYODXnyVmduGnGSOevLcNkEVgzwmJiB0FdVcqDmsi5hDE8V1QehvWwsaiujDM+wc1j6jLvU1r3tsy5I6VhXqFQ2a2hLWx5VTCuDuY79aiIqd+tREVsRsREVSmHJq+4+WqUwyxqXsCKjLUbDHNWStVpO4rNoosW9xs61oR3KsBzWIKesrChMC0xBG3ORioGJzg05ifunA+lIxBINQMa56Acj3qInmnucdKiJoYDs8UBqbk4pWPTHTFIESMBsznJNNVsEHo3tTGOOKUA7c+9Ax+4rtYn5ex9amMgZtnRm7461WJxSliuMY9eOtAF5xsG5GOeuVHQ89faowzSSyZK8sSSen1pFlZtvzEHpkntU02Fk/doo4xjGN1AEOGBYrIQ6HK5XqP/1dqa4xF8pXI5GenI5H8qckW+Q7B82Mkf1qe9SKCyhYOTITh1I7c8579AaAM1WLEBskDgA/yqeNlMi+ZuKDoQeQe361Egy4OeG7Hmp4wqyZ2qW9+AadhGzYGVDHE8aIV5BIwU5zjPY98/WuljS4hEEyIHjDBZA/BQqTyD/nr9K5eBgwIMTb1BdTnkr3Ofbn9a6TSLqPzZ7S53HcBz3DdCOePcfhQ1oOL1OqaXcCByUOR9OtX7Sb5axrc4AXjPQkd6u2TfKUbqpxXHszstoa/mDFBaoVYYpc0NhYk3H1pC2RTNwx1oBzU8xSQ4mkzSYpQKlyZVrByabtJqULTglS2xppFfYc0eXntVoR98U8RZ6CoabK5ij5WewpREfQVf8AJz2p6wVDQc5neT7UogzWotuCfu8+tXrTTfPcAnC1LRSlcw4rKWRsImc1oQaNOT8xCj1NdIlmsK4VeBSmI9AMfhWTuzRWM6GzSBMLy/qetTeXnrVoxetJ5RzkVFmzS6K4Qg8c0PGJY3jblWBBFTbCKRume9NaBueRzr9h1KRGJyrlcV1Ol3ZdAM5B5rI8X2nk627hcCXDCn6JNwAGAHrVzWqaNE9LM61GJ471ZTJqnbtlQT6VejGcY9KTRndEqAmp0GKjQHrVhBzSsS2SItTIo44piDirCDNHKZuQ5EHpUqr7UiiplWrUTKUhFU+lPVfanqtPC+1aKJi5Ee2jb7VMFzQVquUnmICPamMKnI9qjYVLVilIipVfawIpHFRlsUluaJXRwfxQiEHibQtS4VZ4JLdj6kYI/wDQjWVZOXuYlJ2qWGeTXRfFaMyeC7O/GS1neIxwP4SCp/mK5axkLXUTx4BXDAsMivZpu8EcG0meNeJc/wDCT6qSRzdy9P8AeNZYNWNQuPtWpXVx2lmd/wA2JqsOc0dRFy0ZQ/zAkV0uiyI8ixSHYu7O4DpmucsFDTAHoePet+GQ2MYTYS0hGCOoxTQHpmhMgtIXQjJ+QgdOCea61i3lIcgpt6ivMPDl6RdshmOxTx3BNen27rLbc46eua0voEtilOTziq4vth2t+dSXDCsi75UmudK5yqs6Tui/JdK/fFVnKt0rEe6eJiM5FWbe7D8Z5puPKe1hMfGorXJ7iBWX2rmdUtwAeMV1e4MprA1VRtYVcHqdGJSlC6OOcfMajIqeUYc1Fiuk8N7kT/dqnIPmq84+Wqkg+akJFdhiqknU1bkOFqoRk5rORZGFpMGpQtJtqAELDk0xj8pyfpRkYOKYx4xUjE3k0ZptFAD88UA59KZmloAfgEZGCaeHYsOOgxxTE68VKPlbacZNACHnGF5A5/z2o8tg5HBx054NOPX5QSCeg60EMfmxjHagA+ZeQw56ntTg3uCegxUR/wD1ihWwOuD60wNKIqH3AHOwkDjAPX8vaquoTByVXBGchtuDzyf/ANVOhlMcTc9MqG9QRgjFVWBZx1NABF8q89TzmpoxubkdO/tUWKmhBDBsjAPPtTA00IJy0nG7a2PX1qC2vvs94smN2wgOR1wOtU7qXaoQdcYplspPTk4zSA9YtyjQIYiAhUNHznirELhLs84DqHFYug3D3Hh+GQ/vHhxHkEZAXj+WK0rl/Ke2lzn5ih9MH/8AVXJJWZ2wd0bSTA04OfWqSOOlTq2ayZqixnNOBqBWqVWzQMlBqVahU1OlBLY8CnqvFIoqVBSsS2Kq+1SBOmKVFGelTIg60mK5Gq5qdIwepp0ceTwKu29qGIJ7VD0GJbWgkJ4wvc5rZhgVE2qOBTYIQnA6VdijPcdazeoXsReVwcdfemmLp16VcKYGMCkKfSk4gplEw854NRMh59a0HjHZahaIjkCp5TRTKLIcVA4wKvyIeeKrOuT2zUSVjaMjhfHtt/otvdrwUbacehrmtJuQsg5575HSvQPFNqLvw/crgEqu8A+1eWWkhjmBzgVrBc0TS9mejWkhYZ9a1Y2BIx1Paua02fKKc10ELggGjlImzSjHOKnQDNVY5MgACrUZGMHvSaMmywi81YRcVCnQVYXkVJLZMi+1SqvtTIz2qVOtWjGTY9VqQLzikQZqYCtoxuYSbQ0JQUqXFGK6FBWI5mV2j9qhdeKuMOKgdeKxnEuMimwqs/WrjjrVSUYNc70OuDMbxlbi9+HGu246pAZR/wABIb+leTi/Gn+G7m+yAwsiUz3LLgfqRXtk0BvdI1SzGN01rIgz6lSP61856vMf+FeQFXJ3CKNsj0Y/4V6mGd6Zx1VyzZ5//QYpRSU5PvCtTM2/DtqbjUo0dW8vI3MB0+tdrJp6ukmGUGU7ImIxz7Vk+Gk8jTLhwu7LLlgOlauqRPEkc3mtGqOGVMZ3Mcfr1q4gT6ZYG1u/KI+cY7/rXoliUe33KMFcqcd68uN1MI2llkd7mSQfKDnivSNBupZ7Yh0VNqjIB5z71aDoR3LHcRWXcuCCK0brh2+prJuGwxrGK1PLrSsmZ8qgsarjdG2RU5OSTTTXUoJrU8J4yVKfNFlqC43IOeao6nypNTxL83Wor9dyEVm6ai9D6DBZs6sLSORuBiQ1DVi6H78ioMVodd76jGHFVJPvVcf7tU5Tg0iipMe1QAVJIctSAVmxjcU0rU2OOlNIosO5n7uKTNB4OKKyGOA4z3pCKAacCO9AEeKUUuwk5FLQA+A7ZRxkHg1KwyoBGCO4qKMDd0Gat204XKSE+WeoxnPY8UAM5Yjkjbxz1x9aYxI3KP4TyM561Y3ZHlqseFz8+OoHbPvUDgq245w38xQMYR+RpnenhWzmmv8AezTEx5wU4P8ASnovyBvSogCw461YVf3GKAIXYbxj05NTBsY9SMZqrn5sVLJJ5UXP3hTArXLZnPPSrdqTgEHHvWaW3MWPerVtMVO0ng8VIHceErqRDc2gPG5WxnHXg10d0wNnJHsw0QEgJ9iCRXCaBP8AZ9dgyxAkBQ4x1r0G+XDhv4ZlI+pIwf8AGsai1OmlLQfFL8gI596srJk8GsXT591rFyT8vetBJDnnqK5pbnUtrmgjZqdTyKoxuc5qzG/ekBbU8ip0NVUbOKsITwKLksspUyVAh4qZOtK5JYjHNToMGoE61bhQsfapbCxZt4i7HIOPQ1qwxhcAiqsAC9BV2NuoNYttsaRYjXn2FW1x6ceoqrG/OOKnQ88GmtyJIn4NGymg561JnitEZ6ojK1E64NWajYUmioyZTdOaqyR4Oa0HWq0q5BrGaN4SMm7hElvJGwzuUrj614zLb+ReyR5+ZXIK4969ul+leUeLrU2uvTbOFl+cY96dF6tHQ3pcs6XPtVQOMdq6S3nyFya4ixn4GGrorO5yo3NWhMtjqIZenNXY5c1gw3A4q/FOMDmkzJ3NqOXIFWY5DisaKfJHzVcS4AHBqLCNaOToasKwrJjuOetWoZ+aERJXNJDUymqKTDip1kBHWtoTsYSiy1mlqFWHFSbq6VUVjFxYrGoWweKWR8VA7msak0XGIyQcmqko5qwzmqsz8ZrmkzqgmFgw+3BD91lII9a+b/iCV0e3j0S3G2AyvKVPU4diM49z+gr6A+1C3u4pS2ApJJ/A18x+OL9r7xPcEkYjO3A6Aklj+rfpXfg5NwMcSveuc4ATT1XBzSLyakA9K6zmR3/g6VLjT5bVk2ZBUsD94Vbs1MzCFiZGjlJUEenQn/CszwPM0FwgIVoZHKlT1U9jXUeINNlil/tC2b5QMFUGD/8ArrSIzBmtJHVbpGO8MAxxjnOPzruvDk8asIlmMkpXEn1ri3uRdwMkcuyQMMR4yW9/rXQaTam1lhnjPzSNggZ5/wAKpbiN+/UpMwIPPNYlz1NdTNALoCQjnFZ02mqW5UUla54+Jo1GmonMZpcVvnSY/wC4KQaVH/cFbqaR4UsurNmLH61HdglM47V0aabEvRRUN3YKYzlRyKhzTPRw2DqU1ds80uh+/aoDxWnrVuLe7IAwDWZ2pnvR+Ejk5WqE55q/LwprNmOWNJ7FFcjmnAUoFPAqUUNxxTSKmIphFFguZFFLijFYFCgZpQM9sUg4pwY8EYoAcAcegp6w5AORk9qaGBPNPDYpgSLDtbjcTzggdqd5XyKTH8vTPT61JHPtkBiDKVbIJ61cWON1crmSZoywJHBJ9P1/HNFhmbLIxJYhtxJJY9STUTEtIT27VfFoZowoiIl+YsFPTA5qrNGsUm1H3rgYb1FACD0I/GoZcDPFSgnnp0qGXoe/vQIWBuasMfkxVKBvnq0zZXPHIoTAihTfNUN5IGk2jtxVuLEe5z2GazG+Zyx70gACpEHNNUHOKspGAKALcErRzwS9PLdTkemea9WcNPYRSL8xUBt3uOteVqu+LaTjcvavR/D98bnTI5CCzFQ2P5/qDUVFpc2oso6c+zfH2Vyp+ma1onA6GsNT5WpTx9ieBn0OD/KtOJwa5J7nZF6Gkj1ajcHFZ0TgEetXI25qCmX4yMVajOKoxsMc1aRwOaVyWi4hqdOtVEbkGrMbDPNK4rFuP5q0ocKBVC3x1q0HI6D8qzbBIvo+OKso+B1rNWQA5zVhJhipA0Uk4zVpJOmKyVl54NWEnIxzTJaNVXzUgY4FZqTknrVhbjjmmmQ4lvJNI31qv5wxwaRrgetPmFyslZu3FV5CBnFI0wznIqN5QQayk0awiypPwDXnPjuLdcQS4GdpGa9FuD8prgfGgLxx468mooO9Q67PlOOt5CHFbdrPkDmuZjcB604JvmBHFdMtyFqjqILk8YPStCK54Fc5BPjHNX4pwR1wakTidBHc571aS496wop8DrVpLgUjM3Y7jpg1aS56c4Nc+s/vU6XJHGaQjoo7n0PNWkuf85rnI7npk1ZjueAM0CsdAtz1/wAalFyP71YS3PvUn2rAzngUXaJ5EzXaYGmNMMVlfbFHekN0D3NQ5lxpmkZarSzDoKpm4B70x5wSaylK5rGFihq80cNu00v+riVpH/3VUk/yr5burhry9nuX+/M7SN9SSa91+KOsGx8KTwo2JbthAP8AdPLfoMfjXggPNetg01TOLFP37D1HNScgUwdM07J712HMaWm6hJZSq6HBBzXsGh3Z1XTcvGq/KVx64rxKLHzc4OOK7Tw1rbwi3VVCog2vhuXPY4qkwJ7+2k0fWJEERO8YjcehrqfDl3EciR1PlEKcDuP61b1HT11uyVWOy4A3Iw7cVzfhtH07VZLC5cKxPPuaoR6dblZEyORTniBqK2by1UZHPpVjeCKbTuJwuis0I9KYYx6VYY1A5xVRjcwnGwm0D0qG4QbDxTi/NNmb93V+yZnGSPOfFSBbpce9c6a6fxQN0gNcyRVSRrB3RWmbis6T7xq/cd6pEZNZs0Q1RUgGKAKdihANxTWHFPNMIyKGBlEcU0j0qYgbTjrTQvtiucsjo+gpxUU0Y70AOAp46U1QDThgfSgBwYjvxVhJykflklkJzgk4x6YqvxSg4pgb+kiKSVZJJWj2EHCryF6bwB1Ixye9Ta9p0SxxSRRxoxDFxG5wRnAPI6Z4zWHBMVIIJznAJPArdtdQhuIWWfO5VKFcDbt65Pc8k8/7VAHNbGU7TTJYywIB6VcvFNvcNGDkdVPsaqM24bhyT2oApjMb4NXFOcVVn++D7U6KXgDuKkCa6fZDgdTxVECprptzge2aiWhgSIuWFTlgi8moQQKjkYscUAaNvMjpgHlR0rtfB10hglhbjYflXrkHr/X8q86iwHBOR7iuj8LXxh1IqzYyoPHfHBH5E0pq8S6bszo9VDW+to3RXBIx05//AFVbR+hFGvR+bZRXAzuiP3vUf/qqtbS7kArjl3O2DNWKTpVuN84GcVmRtg4q1G/HWsjQ1o5MgDOasxvmsqOXjHSrKTdDnmkwsaqOc4z+FWonyRnkVlROWP8AM1djfC+hqQsaiS8gZqZZgDknNZazBQAPpUgn9+fWoauKxqrOPXmplmB781kLN0OamWcZBJFFhGuJiME1Ks9ZImyM7vwqRZ8g96pIlmws+M1ILgjtyR0rHW52nJo+14BIJ/DvRysDa+1c5z7VGbnHGeO1Y8l7jkMfzqBr7P8AFScXYqKN4XRPQ077RnpWCl0Scbjj6VYWfcM1y1HY6IU7mjLLla43xUhm2jB4BNdKsgPaqN5AJ3YEZwKnDy/eG0laLPKbiPybhhgjmp7d+RWrreltE5bHHY1hqxjbaePevSaucsXY2on9DVyOXjrg1jRXAH09qtLcAjNYyNVqbMdwQOtSC67E1kLccClM+RmpQuVG19sI/i68VKt8AcA89+a57zz680gnYdaolwOrjv8A5fvVZjvwe9cat0y9zirCXzbe5quW5Lgdql8MZ3YP9KlF2CMg4rjBqLAYyamj1Q/d3Yo5BJI6xpS2fmqL7Q69DWNFqAIBLA496sreK5xmsZQNImit4c4JqYT5Gc1kmRT3qeGYMMDqKwcHc00PMfi7f+ZqOnWQbOyJpSPdjgf+gmvNRzXVfEi6+0eNLtQ2RAkcX4hQT+pNcp0r3aK5YJHj1pXm2WoVBxu6VYeFemMd6pRvxirSnK5JJrYyJbexkuJliiI3scDJxzU0tlfadIfMiePafTv9aLS4EcylhwCDxXbSW41CL5X8whMunXApjK/h7WdVuIwGm80KwVQTzg5rpLqxKTR3pXMhOWPrXGWV1FYXKxzxBPLb5XT71ei6Pci+jEbkEqAVIOciqQGzptwlxZpInpyPSrmeKzbRWtb1ofL+RhkMO1X5fvVUnZXOrCxUm4sUse9NK7qbmpo13041LahiMMVzEc8Co5kbYeK0hD7Uklv8hrT6weZKg0eYeJvvZ9K5ZjxXb+LrULGz9hXEN0qnK+o4KysylOetVxViflqgxWe7NBRS0UUCGmkpTTSaBlT7M5faBnjOQKakDyuyjjaMmt+O2VXVZ2+eY4yuGIGT1GeecVE8McdwRGFXaSGJb/x3pzx/niucsx/skoQDB+n44NRNbMpyRjNbDrs3KzjJ4ZUAOzrx74FH2QSXUhkREjC4TOQMD096dgMcRY9cd+KesZOdi5x19RWmbOMKBubdnIGOSM5/kPzpWRYowqhwzkqCvGemOR26nFIDJKEruHSmk/KK0be0MpyNwiJ2Bhz83bj3/wAKkOmkHlDkkZB7ZJwc9OnP5+lMDMFSRTmBs84IxgUXNu0BICsoBxhuD+XaoCyk8DHrRcDQmZLi3UKMMpznviqTRmNh3oin8sgZ4+lSySCT7oAGMijQClOvU1WU7Wq62GjPqKpNwakBzEM2aQCmg04GgAJpuM07HNOUe1AD4481o6W/kalC+Op2/n/kVQUkdDUyyBSG7g5FHQadmelOPtGlFjyQCPoCKyLJ8rjOTWlpb+dZSI5yCuR9OlZcH7q7lTGAHPFcctjugaSEirCMODVRSO1SK3OKxZsXkYnvVuE9M1nxH0qyrsMc1LGaKS7QKlFxx1rO81QcUhuB3NJK4mawufU4Pf6VILkZxnPesI3RHSk+1HIIwCPSq5RHQfawnU4+tNGoA9Dgd/pWAbljjPb3pvmOf4jntVqKRLudGNQxgM3A61KmoFgTuFc15j5B3DP061LFMUfr+daKKJszoxeL2bnuacbpyAck+uKwhcAdDinNeDOc4+tJyjEpQkzb+0nB+Y4NIJV9Oe1Yn249iaVbskgVzVJ9jqp0ram+txnvVmKc561gx3OcZNWVucc1wzVzojGx0CS46mrNonnuTXPR3ZYhV5J6V1mk2pSFcjk08PF89xVtImRqmliaMqB165rg9S0aSGRkZfmHI969fuLbGeOOn0qs+j296gSVfoR1Feg5tM89NM8FmWayY53Y7A1Lb6mrYDfK3oa9K13wY8MJYx74uzgdPrXnmqeGpICzxc1ouWW4c0o6onS4D8g1KJDjrXMGS6szwNwHUVcttXik+Uttb0NZyotbG0akWbRlIpRN61VS4RuMjNPyD0NZ+ppvsWhKCOtPWQeuKo4btSbmXmquLlNVZugJBqdDGxHAz7VirPggkVOt0NuQTmnzPoJxRsCMqfkfn0NWI2kA+bjFYsV305q0L0/5NJtvcErGoJ2XoavWkxZuDWGk+/HetjSo2muoUXq8gA/OsHvYtrRs8O8RytceJtUkY5JupP8A0IiszFWL8sdRujJ98zPu+u41AvFe1FaHhyd22PUEc1oaeInkCS5w3Ax61RBBqePcu0rwQcg1aJNW70eS2k4cbc461pafeXVgrxxsdvBc9yKjsJJbhRH5TSllzIx7EdKnazlZhEikR4+8DximM0tbtLW5VdQiDeW+N+P4eOuK6HQLuG1W3bymQuNijsfxrC0q436c0EkZ8jJQf7X0qW1muVtJ7YtGwgcNAwGXz15qkM9Nx5o6bSOlPlGEBPWs3TJ5DAGm5YYBwOn41oTeYFZQpKnlT/SnNXibUJ8lRMiBq7b8kVhw3nmybSefetu1Oa5lJnqVnFo0I0z2p7Q5jNEVT/wH6UnI4JQR5340gxZyGvMnr17xfGHsJlA5215DIcZrspvQ4ZqzKUvLGoqklPzVFmq6kDqKbRQMDUZp+KNtAy61y858yQFpGxy/QY6cD881HGA6lw2UXrjAI/Pv0zT1dF3hlfanA5Bx6geveo1cIEwByOm7GfrWBQ+NS0207W28gEce/wDj+lPt2iWUJIoxhtzPwMjlVHccinR58wOqrJtILZbG4dfrng0jkeWSCWK7t2FHGD39eo/OmBFI0UbKB8xbJyOik/571WCyGPa0obac7CCDgnt7f40+aNfMKoQcE4wOW98f09MU58NlSmMgjKHkDjI/D0pDI0u9kbKAy7gAoZsbemD+FL9oAEgKrISAGYSd88EDv6fQ1RdijEY5BwSR1qJ5mLt6k9KAJ3uZJAN/J7k9TUAiDBsMMjkDrmmFyGDE0qsOGHUUhETKRycYqVDkKtDjg5/Ko1Pyg91PNACZ2yc9DVeUfNxVmXpmq8hzikBFRRRSAUEinK/ODTKUCmBOGFOJyOKhxTycJQB6LobBY7MHnzYwpB46iq8gxezD0c0+xAjstPbII2xkUXoCatcjoC+R+IzXJM7qfQkRsCpFaq24U5X7Vibl5JMCpBNiqKvin+ZUjRdMvHWmGSq++kL+9NFWLG+jdmq/mY6mmtcKO9AWLgbApwcAZzWf55Y/KTT1WRxmi9tx8ty4bgCj7STjBqFbZiMnNTpCFAzUOoilAPNZqcN5FKAgpTIFFZubZoo2FAI61KJFWsu41SCEfNKCfQVmPq89w223jIJ7mhU5yG6qhodM99FCpZ22/jSW9/JdvttkbGfvnp71kafotzezCS5Jbngeteg6PonlqmyPnsMUpU4Q82Eajk77In0HTG3BnGWr0KzsykK5HSq2k6T5IDOvI6V0EcQxzVUabepyYrEp+6jJuIyoyM//AF6Wy45xwOtW7uMBTWYjmJ+OnpWklYwT5o6G/wCWjxhSoIxXJa/4LW5R5tPAVzy0R4DfT0rqLWUOgyatA1004xmjm55U3oeCap4aKs6TQmKQHBBXFcZqPh1wSRH07ivqW90+01CLy7mFZF9xyPoa5HVPh9DNlrKYg/3JOf1quScTaNWE/i0Pml4L3T5Mq7EDsasQ63JH/rlr1LW/BN1a7vtNqyjs4GVP41xN/wCFWUsVWocoy+JGqUlrB3I7XVreUDLjmtFJY3HBGK5S50C4hJKqePaqgjvrf7jOPxqHQi9Ys0WIktJI7ryVbpTTa+lcdFrepQEBnLEf3hWpbeKmOFmiwfVR1rKVGotjWNeD3Nw27LyKnhiwuWrNXW45UyhVvanf2lJJ8qKuahxn1NVKL2ZuQ9q6zw5Ev22CV2Cqh8w59FGa5DTYJ5WBlIC+grd1a7+weF9Wuk48qzkA57sNo/8AQqzpq9VIVaVqTZ4Le3Au7+4uAMCWV5APTcxP9aiGO9MHAA9KdXtnhMkUirlrh2wapKORViMkcqSDTQHQaXK0czoyAI5yCGx/+utTVIJlkDbmRUTa4J6EVgW7cng57H0NdLYlpre4iuiwkdB5e4859qsZRtpZlZAp+YHcB2Udq19Pjk+0+Y42c7+f4ge1c7BqrWTzRlRuOVJK8k1uWdy199maWTaY48nHBP8AjTA9D0+b5WWOUGLG1vXdWtb3AniCE4IOPyrldImMEQUKSoXBz2OavW0pZrhJA2Q5+hHrVIZclsDDfsV4ViGGK1bUFQM0QDz4kOOQOKtJAVHWuSorSN/aO2pPG4xUm/jrUAjNO2H1rO5PtGc74jAktZAem0143cDa7D0Ne063AWhf6V41qKmO6lUjBDGuyi9DnnuZkn3qiNSSfepgrRkgBSkUopCKYXDFKFoAqTFNCuRmR/LkCoSWABK9B3J9u9TzBRNxEVXYPlB4HA61WV2Vsqx3DkMMjA6VJIxYnkkg5x14x/kVgzQkjkUKiv0IwCB05PNO2tJIQGjXn5uen19qgEwdQzO7ucLtUYOAc8569KmdlSMllQFxuLEk/wD6hzQA3yhG4wuZFIGCpyD6VXuJSZex+UDOPvf41MzbAHDcuOCTnHt/SqEsrO+TnGMDmpYxsxIbJHtnuaqOcnPenuSSRnik2huhpCIyefWnA4GRUqw7cE/xDjPeoyMMR6UwH53KBnp/nFQocSEdhUoUk8E4xmoWOJDigZK+CDVOTrVpeciq83BqREQpaQUooADxRmloxTAcGozkYpMU4CgD0G3I/sfTyeDtiHPJqbVABqr853Ih+nFVoCT4Z02TJBAj5/GrOrKy6opb+KMfSuWaO2mVgpPSnbSO1PQcVJlcZNc7Z0JEG+kMoB61JJJEvUgVWa5tgfvrQtR3Q83BxgCjzJT2NQnUbRBy4NMOr2o/iP5VXLJ7IOZLdlxY5XPJqxFaKOp6VjnX4wPkRmPuKh/4SGf+GHj3NJ05sPawR06xxqckU/zkXgGuSbWb9/uqB+FRGXUpvvSMB6Dil7B9WH1iK2R1730UXVxj61RuPEFrGCAxc/7NYCaXdTNlizfWrcXh6VyCUNUqNNdSZVqj2Qs3iKR9wgiwexY1Wa5vb0gNIyg9hW1b+HnyAUNb1h4ZlZhiA569Kq8I7Ij338TOY0/QHnILkse+a7PSPDCfLhMmuk0vw4sW0y4X1AGa6m0tYICNqjI4rKU7mkbRRQ0rw4pAyMV1thpkVsAAoJ96iicBcVehmBPHBrNWe5jUnJ6IuxxBetS4qFJBjmpRzXoUuWxxSuQXEYZSTXPXHyOQefaullP7s1zd8QJDiuetub0XoWrOfA4OCeprZjlDLXLWspB57Gtm3uVdQSazjNx2KqQvqagINFV1mGMZqZZAa6YVe5zOLFKggggEHsazLvw5pF7kzWMW49WUbT+mK0ywNLmtW4SQJuOxxt38N9JuM+VLPFntkMP1FYk/wptiT/pvHb9z/wDXr0w1DIeAK5aitsbQqyvqeS3fwqtFUlbhW/3o8f1rDvfhYFB2RZ90bmvaLhQQeKpGM+tcTqTT3OuEk1qj5/uvAFxBKRBcOpHZ15rNn8Na3aHKKJR/snmvoS7sYLlSJIwT696wrnQ2Qlo/mX071SxMlubKEHtoePWOoapaOIpUdccbXGK6jxrcRwfDi7im3Ld3P2faB93l84P4Ka6k6THO6I6A8968++Kt3CkMVnFJIxmujIykABVRAoCkdRyevvW+G9+pzJWsZYp8kLX3PL6UUGkFemeWPU81ZtxvcLkDPc1VBwasRHDU0BeikdG+VypPBx6Vr2N+8VyJJ5zJGMopPYevtWEG2g4B3cYIp/msw2t0J5qhmxrNvb3AS+tX3Of9ag5yfWodKvooLrczsH529wD2yKgsr77BM+I1lVxjBHY1XuoVV2kiPyZ4oA9D0DXysTRMyyt6k5y3YfSums5J7gTSbR5oPGOa8f0pbj7UmcoDyWY4Fer6PI8CLG0qtMVBwT1qospHVaTINgToRWvu9q5bSr2T7ZJDKuHznj0NbLzuDiubEdGawpuWhoBhS7vSsz7Q1Ibph3rmuzX6ux2pAGBuO1eMeJovJ1WUY68163eTs0Lc54ryrxWrG93t6YzXVh5WdjGtRcVc5h+uajzUj8imAV1nKFLS4pwFMAUU6gUoFUhFYu+HVeA45Ht6GnRyAD584BBYKM5I6D2qAYJ2557kmpWBTfuUoQOMcAmua5oOWXYS7b0LEkMh6Hrj86c1xGqKBy2cHntxx/OoWU7c4+Xt349qrvIGHAHHHFAEs0/7oKoO0HPJzz9arHd3I/rSbtxJYgAe1KoxIAR70mMlitiWXcC27GAvP+TUgSLcTHvXHQt/F/hTdzJlkQbmGz2B74pFYMqjOOx9c/X60gJQu2Xy/JBfd9wnIx/nFVbtw1w2R1A+b1qyw80qDIY8nr7+ntzVWUbmBK4BHr3oATjAyccfpVdh+8HSrJVUQHcfTnrVYgjntmmA4cPVWU5kNT5xzVc8saQhBSijFLQK4AUpFAFKRmgYCgClxijOKAO8XP8AwiVhgfwx/wDoVXtZwDaTZy20ox9emKqcJ4PtMnH7tO/XmrOrKJ7a3Ught3HbjFc0jsp9DJm1JUOxRub0qm819O3ygjPpWgtrCnIUVKAB0FZXS2NWm92ZK6bdTffcAe5qwuiA/fkzWmoJFWEiJ/Gk6jGoR6mUuiQDuW/GpU0aANwua24rfpVlLYZ5qeeQ+SJgLosWfuVaTRYsH5K30twO1WEgA7VLk2NKKMNNFi3fcq7FpMS4+QD61rJCoH1qZI1x06Um2PToUobBFwAtXIbRQfuip0QDA71ZjUCkK5YsrRDIuUGBWysQIzkYqnZqipkGr6MA4wR+NIhj1XGMYqZTtqESAHoPrTxIMY4osIuRykY5q7FP+FZCygd6mWcY60WJepuR3B255x3NW0uRwckVz63DAep9CO9WY5iV49M8impuJDhc1ZrleQD1rD1B84PBqyzkYOT9DzVK5yVK+v6UOVyowsZyTbWPPA7jir8F50yazHibf0wfWpYlw3X86m5bN1LwhRyT/jU0d7yd2fqPWsiIYx0q0ikrxnj1ocieVGkl8C3B596lW+IHIz7is1YHY9KnEDkZxxSvIlxiX/toPc/jTZLhSCciqXlOvUHJHamOjjGSaHNjVOJPLICDzVdmz0NRFmAwTkGoDKawb1NoqxLJwagY80eevfP5UrYIyOfSly3LKjxKs3mY5rwH4q3XneMmtxgLbW8aYHQE5Y/+hD8q+g5ORj1FfNPj+TzfHesN2Fxt/JVFejglZM5cS72ObooorvOMB1qZWIwR1qEU9T8woAtbx8pJ5xU6HbycfjVPvU24lNp7VSYzVhnt5ZGlmBZlGdijG6pYEtL63aF5/LbqOO9YpUpj5hz6UkRaNtwyPpRcDWiubjTLgwGQSID3GQRXceHL43zNv+Z06HpgVzOl6euqxOGgZpFGQwODWlodrf6VqKBo1Vd/QnqKaKR6NbfLcl3fLE4ODzVq8vVguCjdayZbp5ZEuIgCj8ED1FXr23aZonYYYoM96zqx5kdFKajLUP7SSkOopVb7GR2pfseeorn9mjq9vAfLfqyECuD8TkyjOMAcmu6+w+1YmtaSZYXGOcVtTXKzCvVjKNkeaEUhTFW508mRkIwQcGqskoBFdh5whNKue4qMSjNPWRaLgPApcU3zVpRMvemI774rfYm/sqeAQmYmRHdFGSuAQD685rzx7O5XT471orj7IzFFmIOwuOoz611XxAvkuobARhl2u+Sw9hW14eZG+DmoxygMu24O084Iwa5rmh5a07PGBuJUdBngVCzE4zz9O1dFrXhHUtDtYr5glzYTKjJcwfd+YZAIPI/lXPnntQAtujzSBAACcAHtV3yjaBgVPnZVkzxgc9qrxDaudq+wJzxnpT3keUmZ2yx45wOBx0pDB2U5OFAKgjnn0/WoxgKSjctxjOTjPerX2pggVliBLAmQck++O45NVPNOdzbT1A+X7ox/+r86ALlpCpVmZVDohcsz4GPy5qC7tnUBwhTuB0qeGW3IIkJKucEKMj2+lIt1mEoZAGXgFVzn6+2DigCjww+bHTvVeTgsB0zVqbBc55bPJBqs3L4piIWOFqLFPlOOKYKQCjilFLijFAgxRilpCcUDFphOaGb0poGaAPSbeRW8I2km3OEj+Xt94VY1ORZbSGRcYDY4+lZtowPgm2baSFCA/g+K1bxGktYAfmG/g/ga5po7IdDMVGY1PHb5INSqgHap1Hy1zm1xsUABziraRAHNMQ4FTK2KTGSoAO1ToQKrhxinCXB6VIF1SAalDDFZ4lpwkagLGisigdacJ19sVnguTUqqxOO9Fh2L4nXOc1YjmBx71nrGcZ9f0q5bxMWGKliaNaKcKoWrST8cntVFIGJGR+GKuR257E8UhWJRNlc57Yo3E8k9fepUt8jgdeoqdLXngAHtn0piIFLfXtViMNxnpUwtvbH9anS1YKMYFBNwi7DINW4+mO9JDbFcZHNWFi55H4ipYXGbTzmopUGOlW9v51G6HHrxQO5lSx4b2NMWPB/w71dlXtxmoNuDSGORSOcY/CrkYIYHt/WqyH5gSenarKHg88UxGhbkcDbz61dVFIAx+VZsTAEAGr8TjpmrhuYTRMY1I6VG1spXGKmDCnDmupU4yRjzNFF7NSMAVVlsVGflGe1bOKikQHnFZVaCSuXCrI5uaxIBCnFU2WSBvmziulmjGDxWdcW4IPGa4pQsdkKlzKZg1fL/AItff4v1ls8m9l/9CNfUckQRsDivlvxbGV8Xa0CRkX03T/fNehgvhZz4ndGLupc0baTFdhyjwacDUeKkQHHNMCVG+YVMCtRqhxmpMDtTGOV1U5Kg/WnhlI9z2FRHpimBwnJPFMDttE1ZIMrtVS4VTtbpjvXV6dqthcSSrJGOCACxFeN/a3VwIyc5OK1dOtdbv5BDY280mw5bA2hT7k8U0wue0t5awA265QkFh/Wt1AssEZGCQvNcb4b0zV7KNE1G6hdic7EOSB9a6+wyPMBGMHp6UPYu+hJ9nHpR9nHpVjNGaysRzEHkD0qpe2ymM5WtLNRTJvQimFzxjxRZtBftIowrVzJiZjmvZ9V0FL3IdQfwrkdS8HtChaEHjtWykrEWZxC25PXNS/ZvrU9yHsZTHKNpqudQ96v3Rai/Zm9KPsxph1AHvUZvx60XiFma/iu4aWO1yAMM38hXXeELebU/h5fafZYmmYzRZ6BWYAjOelebX91POqebIW2k4z2pdM1jUdGuDPpl9PayMNreW2Nw9x0NYFnp2prJ4U8AXOlatqiXr3EBhggIAC+gTuQDzk+navK4wgOXJA9jT7m4utUu2urueS4nf70kr5OKRAuGDqDgd2xikANhG2cAAYJA4yKJc4OGXoOSMbvpUawnaT1BIAXual+/mNuS2DvJ6HtzQMgJZTkHJ/PNIv71yjZAA45qQhSMk+wyP5etRKdr7CnJ6MD09vSgC5FHyoBCsDtGOfrx+tRTPtkAAGAOvr6VKxIj28YYAc+3p+NVHIycHg+1AAzE88Z71Xzl6fu5IqM/ezQJkUx+fFRg0MxZyaQUAPDYp28VHRjNArkhcU0nNJinAUDGgZNSovHSkCipBQB2WnHd4EkVjjG8D8GzW6z7reBssRweevQ1h+GV+1eGbq1J6u6nPTBAPNats7T6RayOfnAAPf2rnqHXTY7GTUig9KSJMkZ5q5HDnBxXKzdEARh2qRVJ7VdS2zyR/hU62q8cUh3M4RtUiQMTyK0RagdqkS2xQF7lFLfoDjPrVlIBnFW0hXkYyasJCec9KA5imsHGMDH0qZYAMe1W1iHPcfSpliOfunHrik2K5BHBnBHetK0tDjgAUyKLnjk1t2lvtjXsSOuKhsdyKG1JPTBP4VcjtRgZB/rVuG3GAAD61dSH5hgde1SS5WKa2jYHFWEtBgj046d6uCFRwecVOEAGCatIylMpra9AQMjvUwtgO1WAq0NnHHSqsRzMrmIDoBSY47VMR+tREYJG04qGykxG/CoX5AxT2zt4B+lN2Fl7/SpuWrFWRR7Zqs3B+vcdquuhP3RmqzW5J4Dc0jQiVhnp0qVH59B1potm64/SnfZ3C5Ab6U0J2J0kYHjkVYSY45JHvVRYJBz2AqQZC+lO5DSNCO5GcA1bS4UqMkY9axlfOMnp+dTqRtyDkD+dXGq1sRKmmavnKe9I0ikVm+YexFAlzxnmqdZslUki07DNV5cEE1E03+0OuOtQyT8HJrmnK5tCDK9zHzmvlnxpE0HjXW0cYYXspx7Fsj9CK+pJpQyHmvmj4nps+IesEdJJFkH4otduClo0ZYhbHK8d6X5ar5PrTua7jlZKCtPEigdarbTRsNMC0bgbcCkM5NQBMU8YB5FAEiJNKPl6etWLaxjeTFxOEGOpNQC4cLt7elMJkY9aYHSafeaZp6ZxH5wPde1OuvHGoFBDaqkEOc4Uda5+LTpZ2A82Jc93bGK1bDwwl1kz6ta264JBwWz/ACp27AXNI8SavLqMI+0szKc4boK9p8O389/p3mXKqJgcEjofevH4/BLJHHdWWrRTIX2k7MbffrXc+HtROjqIb+dH52hlP9KeozvSaCaRHWVFdGBVhkEelBqbCFzSGkopCEZQeoqpdRIyEFauE4qCYZU0rDueQ+ObZY5o3CgEk5NcUVr0fx7b/uFkxja1eeMKdwuQ7famFamxTSKB3Z//2Q==\" />Can you describe the image?", "The image features a man wearing a bear costume, standing in a crowd of people. The bear costume is black and brown, and the man's face is visible through the bear's mouth. The man appears to be wearing a black shirt underneath the costume. The crowd of people around him is diverse, with some people standing closer to the bear and others further away."]]

gradio_cached_examples/34/ChatIDEFICS/tmp30eh0pf7.json

@@ -1 +0,0 @@
-[["<img 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\" />What is this sketch for? How would you make an argument to prove this sketch was made by Picasso himself?", "The sketch is a simple line drawing of a cat's head. It is not clear what the purpose of the sketch is, but it could be a quick sketch or a study for a more detailed artwork. To prove that the sketch was made by Picasso himself, one would need to examine the style, technique, and materials used in the sketch. Additionally, one could compare the sketch to other known works by Picasso to see if there are any similarities in style or subject matter. It is also possible to consult with art experts or historians who have knowledge of Picasso's work and can provide an informed opinion on the authenticity of the sketch."]]

gradio_cached_examples/34/ChatIDEFICS/tmp3hmmr52d.json

@@ -1 +0,0 @@
-[["<img 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\" />Can you write an advertisement for Coca-Cola based on this image?", "Coca-Cola: The Refreshing Choice for Everyone\n\nIntroducing our newest limited-edition design featuring two adorable polar bears enjoying a refreshing Coca-Cola. This eye-catching design is perfect for the holiday season, with its vibrant colors and playful atmosphere.\n\nCoca-Cola has been a beloved beverage for over a century, bringing people together and creating unforgettable moments. Our iconic brand has become synonymous with happiness, joy, and togetherness.\n\nWith this new design, we invite you to share the magic of Coca-Cola with your loved ones. Whether you're celebrating a special occasion or simply enjoying a quiet moment together, Coca-Cola is the perfect choice for any occasion.\n\nSo, grab a bottle of Coca-Cola and join the two polar bears in their delightful adventure. Let's make every moment special with Coca-Cola."]]

gradio_cached_examples/34/ChatIDEFICS/tmp4_xvgdv7.json

@@ -1 +0,0 @@
-[["<img 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\" />What are the armed baguettes guarding?", "The armed baguettes are guarding the Eiffel Tower."]]

gradio_cached_examples/34/ChatIDEFICS/tmp5_d_3s3n.json

@@ -1 +0,0 @@
-[["<img 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\" />What is happening in this image? Which famous personality does this person in center looks like?", "In this image, a group of people is posing for a picture, and the person in the center is wearing glasses and has a distinctive mustache. The person in the center looks like Mahatma Gandhi, a famous Indian political leader who played a significant role in India's struggle for independence from British rule."]]

gradio_cached_examples/34/ChatIDEFICS/tmpb02m3m37.json

@@ -1 +0,0 @@
-[["<img 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\" />Which famous person does the person in the image look like? Could you craft an engaging narrative featuring this character from the image as the main protagonist?", "The person in the image looks like Barack Obama, the 44th President of the United States. Here's an engaging narrative featuring him as the main protagonist:\n\nOnce upon a time, in a land far, far away, there lived a wise and powerful wizard named Barack. He was known for his magical abilities and his unwavering dedication to justice and equality. One day, Barack received a mysterious letter from a distant kingdom, requesting his help in defeating a dark and powerful sorcerer who had taken over the land.\n\nWithout hesitation, Barack set out on a perilous journey to the kingdom, accompanied by his trusty wand and a few loyal companions. Along the way, they faced many challenges and obstacles, but Barack's quick wit and magical prowess helped them overcome each one.\n\nFinally, they arrived at the kingdom, where they found the sorcerer's castle looming ominously in the distance. Barack and his companions snuck inside, using their cunning and stealth to avoid detection. They made their way through the castle's twisting corridors and dark chambers, facing off against the sorcerer's minions and traps along the way.\n\nFinally, they reached the sorcerer's throne room, where the dark wizard himself was waiting for them. A fierce battle ensued, with Barack and his companions using all their skills and magic to defeat the sorcerer. In the end, they emerged victorious, having saved the kingdom from the sorcerer's tyranny.\n\nAs they returned home, Barack knew that his journey had not only saved the kingdom, but had also taught him valuable lessons about courage, perseverance, and the power of unity. He vowed to use his magic and wisdom to continue fighting for justice and equality, both in his own land and beyond."]]

gradio_cached_examples/34/ChatIDEFICS/tmpgi_8kn79.json

@@ -1 +0,0 @@
-[["<img 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HjCjuUX0Ht71LcQ25muITIXk8oF0KnCrnjnpmsm9S0URaR3NgQjMGVCU3j5g393HYentU1nDFHbkeekaRIFcgBRs6uoPcbj/AEqRYLm3uHadoVUsFiSMkcEfNkniqCW24zG5sIreJF+SKJt5kGCcH0PANTcZfsdN0+4WC4u9SFw0Uu+AxHauwDhRn8PyrYkvBshKyxIh+Y9wFbnPTI/AZ5rAtEhgZobiGJhbuZEj3ckHGF9Ac8Z9qtiBmbzZ4YrXzXE0kW8MqbRySc8k5HA9KCSad7bfK63awOx2o0rEOqscklj367RjvVIWsd2tmbq4lNuodRcSSgFmzxkD+Kqa31mbedPtsUl95uIpZoSibeQSCOp+tQStZCyST+27ZJkQqogjk79zx97rQM6uFtrwP5jb3m2DagXCjvjupwfxqv8AbY7q7hVLuLyLaVw5ikA5PXI7jaTgj0rJh1FLezd2mF19oQJvzkx4GRtwMj09M5rO0v7HPOi2sFtKWbc0MvyyE4AMhX/ZO7A7g0xGr4chS2sL51hbypZ2ccEMyfw9etXLrT9zWqJPJAkZym1+HAPIOepxTNR8SR2F2bSSFWiWPedo5bI429gOOntVCPUZLl7dkuUupo1M5ToY9+QM/TofrTs9wLuHaIyeWd+P9WDnPtmoZY2K9MHuPSqukwTf2VMJUkMrSSPNg5xyflX+VW2jeRooPIjW2eMl9xOQR0GPzpCM2aI5we9Zs8HXitl4Z/soby4vPVseTGei1mTyn944QNCihi6n1IGMfjVIRh3MAIPFY9zbZziumux5Z+ZcZYKOe9Zt5EY87o2XHByOhrSLJsczPAQCPSs2WMqc9q37kx4yTj3xWbPGD0reLIaM0ir1pJ5iYPUVWeMDpTYHEUwYg4rR6olmkRRtp6kOu5eRRtNQAzbRipMU0g0AMxSYp+KMUAR4pMVJtpNpoAixRipStNxTAjxTcVJikxTAYQKaRUmKaRRcRGRSEVKVphFMBhFIRTyKaRQIjIpCKkIppFMCPFIRT8UhouA2kNLRTEMIpKfTSKdwG0hFLRTABTqB1p1JgFKKTFOApAGKcBQKdSYwApSKO1PA9qQCAU4CgCnAUh2ExTwKMU4CgAApQKUClApDDFKBS4pwFSAylxmnYooAQCh2CKWNPAqjfT4ZUXtyauKAizh2YuyuMkMP5Vbt5EFvFuETbt/chxxjn+lUzGzQGUhQrngA1Zs4DtLIqOyZZstxgCm1oWnqXkmP2GGOVxH5bMUAj5IYcncOoGBUq6lbW93b+XaOsa2hhmBfJdiCN68cdePpUXkzX0bQwNJKlvE8oULnao5YnHQe9W9MtRdWk0l1OAlvblow3LNzwo9ep/DNZaItu5Rl1FtPWN4L55bmaArM0bEYVuChPfgc1Ssbk3OoxLM4jjZgGYdh3pk4+yXBkEaPlWXDjI5BGfrzWeAfl25JPpW0YJoycrPU7TWb2w1/xkTZ7rayJSPzGO5iFABfnqxqA31naXE1vE8lwiSbImKYZxnAOB0NcrDcPBIHQ4NWba+aK9juBgOjBh9RUSpDU0dmmubr+OzuvPjeFhGYw/8AqxnJAz05rdsSiaiyvE06hSI51wArdVOD64wfrXmN9cSy6i94WJeRt5PvXW2OuwXn2K2a5Fv50qieQn+EfXpWNSk0ro0g+Z2Os0rWGhkmWaHDPlxHGCoQZzjdx17ntWlJq01zGzC5ls4Cfkn2hihznp34J6+lcZq18lv4gmj0/UFvLaPG2QgfNnqp7HFdLpype2tsElBZkYbU+YRhSSAw9TzjvzWElpc1as7FubVLiyNnJdCS4DymK5IG1Y+chyD9Rk9OKsNaWjKTEohNyDG8qsSXY5wPpxnI5rNmgZoVhj1C+jE0mOE3qCBnaQeduO/TjFabQRP5TNvaOBvMCyDJbOc4x0OQT6gcd6m3YDO1PSYrZLoXF/HFeyRLcW7u2DkdWHHsAffmofDlrqMlq17EUu5XhBMUyYC8knJ5yMDtzyOlWrdzNdBbqKTdcMY4PMiTMmzDbRnqCRjtwfatXTNRBYPEEhgEfk7Nm1w3OeOirn9Oec0PYXUlspZL2WN/7Gt1gjX5bkw7QxGchVPPBwCPUcVjeMLdFgBhgXzIsPH5SDO1R85Y9+T3z+NdJBa6kIy32GQRICUQy7jkZOffqD74FYHiDWY4NCluJrTN8HTdBuPLDP3sc4wSPx5pR1YGF4W1q/t5poLWC4aSbnZCvzemORx1rora0haGSWS9ZrqSZvPRFLMjEAYyB/Xqah0bWGuJAYHLGGUphJQBIV+bn14OOO6n1rnbfxNe+E/FN7LF5e1mOExlcNyGA6ZxV8ursFzqLq30ybV7WO+tzMCjRpsJ2qQMbgR/+us6w0i40DU9Ru7YeZNIoWJMZUt6Ht1HFW7vVtPvrOzuoN4uJwRJAhI2uSCGDZ4AGSexq8xa9sjC0hW4KsNqgkryCGAHbA6e/elewrEVpcXGqW1vLqJhjnjBd4kf7yEdWX/OaWLX4oLNp4VhWC2Pl7JGJK444Pftn61R06O5tHjvdSumZ1RggZQN4HRGPXkk4JoScRxyf2Uttb3rRuZWYeYq59QRjOKFqFiUl9VghkVY5JpS8saxttZox34+vSpIbywurj7LeBIluECzk5yMcbR7D+dc6tleziHyNYskZjj92xQEHrngVnWyzGC5S+1JN8UjNAg5BJ/i+mKYWY3xOiaYY47a4aWykYSxMTyDnlT9MVHpF9dXNmyohbz52Vt43AkjgexFJqd1YXOnT2i2xeR8G3k3cxsDyhHoaw7bWLyz0xrWPCIku/dj51YfyraMW4ktpF3y5RIkTKGZmYdONw7Vj3Ns9vI6ycOrlCvpilg1ycTlpF3hiSwHGSa6S5t28S3/ANtjljt5CiqqSKcHAAGT6n1q/g3IepxmGaXA5JPSmSbhIRjGa1NW0ufSbtDcFVkYbwqHpWVNM88zSOcsxya1jrqiOpc0+bgoa0MVjtOokhEQ2hRg+5rYjYOgYd6GgDFJipMUmKkRHijFPxRigCLbSYqTFGKAIsUhFS4ppWgCIrSEYqQ0hoAiIpMVIRTcUwGEUhFPIpKYNERFNIqUimYpiGGmmpDTTQIZimkVJTTTAjpKeRTaAGUUtIaYhhpKfimkVSYDh1p46U2nCpY7C0ooFKBSuAAU8CkFPFACAU8CgCngUhjQKcBQBTwKQ0IBTwKAKeBSYCAUuKXFKBSAAKXBpwWnAUAMApQtOApcUARSuI4WdugrGlDtiR+BJkqc+lW9Un4EKnnqaz4nIDAgHIxk9q1itLivqTbhgjyuCuBk9D61djtnSKGXK7JPl4OcfUVBOZxb2yyqAm0mMjGSM/5/OpFkgS2IWVt5PTb2+tKRorG3ceXfeIDaaUZfsb7YEeCJg8qgckoDkk8krSoF0xoHR/MWVCxVvu7c4A+pqF5WuTNf2N+yR2axxx+YwSU7hg7Qvvnn0pk2nsksY877RlVIZOgJGSPw6Vk/MoNStkuFZgu0H5gvpmsKeBrZlcHr6djXT3k0y+XN9g8i1kGxSc/Pt689+asX1poOoaRa/Yku4dTG77SJCDEw7FfT6Uqc3DR7ClC+xxBA2g7hknp6U3oa0rjSJ4WOFyKp/ZpN4VxsycZbgV0qSZi01uAlyozSblOeOtREFTilzRYLlm3uDDGxHAJ6V0+ia5LCyoNytnjnHPv68Zrjw2K24ZFaO3mD+dJswyg8rtPAPTt/ntWdSKaLhLU9Hs7y31XEE73DGWAx+Y3BBzkspxjaM8A9D161vWoe1exiiRwQhKvOxDsFG3cSf4iMccV574d1O4ZrkSso3/w8bdpHJPvwOa7VdQuo3hhNlcTtO2w8DbjgHnoBnJ+lcE4uLsdKdxb6C4a/Sa9CE27A2yRMMICQS2M8cg5J7H61m+ItbbSrnzLWLZdz/vNxjGE7YA9c5+ldDLNElskjncscxKBOC5PA3eoxk9ccZqvFayNJmaR3dplkHG0KVDc57KM7vTBpLzGcbZ+KtU84SNf3LOWwoEhxn6f0rv1geWEG4ZBcuNzKy/Ivy8hvz6dzUUTyJIkbusrxNlBsQARj5F56qWJznsoBqNdRh1S/urKWwuCbZwrJKuEJPK4zj689jUtXd0XOXMrBHbQiSPyLZ1jgQRbgNnlHAwwU9Tnb1PBrn9S8F6jq18ZTIrxqcKzAjIz0Pfn1q34g8R3umw+SbqGWVAGmmSLCKT06k5Jx+mcVwbeOtcEzGPVLlVJLcP3rWEJvVGT0PWLPwzZWkKvLbqJvJ2yRwPuVj6HPY8f5NWp7fS2FpEN8Mtu48194UAE9WOc4zz7V5nZeNtWvx5FzrbW8bkF3YDJ9uB2qK+1ufRIxDYavFdrJlpMDcQT1OSOahwlfl6m8aPu8zeh1/iLxPo1nYXaQkzXLAjzk5RiCcDB7YrzNNfeF5GgmaMuuNiD9Capaot45iu5wgS5BZCjA5wSDkDpyO9XvDGi3N5fx3AtVlhjYEmXiMe7H0FdcacYRuzkcnzWR6D4bs0XwlG2oS2do90WKzToDKwbIDew9K5XxY2lWeofZ9Gu2urZI1AmkXDFsDdx9c0k3iKyE98t1FHe3RbalxIxKoAeqDpz/ACrmLmf7S5aNcEnIrOFJuTbRcnaN73JLS+aC8jkxvCuHCnkZBzir11ZXDMbhMsZiWcY9T0qLTtHmklWWUeWqsPvHHWuiurhtiQxRs6rmTLjHynH6VpOST0M7NmLoMtlY3yS3sCyr/Cr9M+9emXWt+EprKIOkakAFwhAIYdMV57/Zr6gGWUrHIq7owpwOTjpWY2gXCozT7t2ehqJRjPdjTa6D/ED2kmpSG1keaBh8hc5IrMgUK+Hi3qR09q6SHUtItvAuoaRfaZ/xNWmWW1vEXkY6gnrXP2cC3ZyZijDgZNbx0iT1GBGhcTKmQDwD2NaSXXmTbzAYlfAHYE1FeSmK6RYkUmIYyDuDfWpLvU7nU7IF4ooorcgEqMdelD1JLgoK1FaTLPH8rBtvGfWrGKnYmwzb7UhX2qSkIoAiK4pMVLtpCvpQBERTSKm200igLkJFIRUpFNIoGREUhFSkU0r7UAREU3FS4ppFAERFNxUhFNIqrgyMimkVLTDTuIjIpMU80hFAiIim1KRTSOKYEdJTqSgBuKaRTyKbmmIUU4UgFOFIYoFPApBTqAACnAUgFOApDHAU4CkApwFK4ABTwKAKeopMYAU4ClAp4FIBoWnAU7FKBQAgFOApQKeBQIYFpkjCJC7dBU5FZWqzBE8oHk9aaV2DMmWQyys57mnqRBKpKBhjO098ioRycU8DEgDcc4zW/QVwWVkYMCMjkZFTGQS+bKzhGxkKF4Y56e3c/hUbqiTOgO4cgGo/aiw+YmiuTCcgZ7mthfENzMse9yzRRiKPjG1R0H6msItvYbicdPXAp8E5tpSyoj5UrhxkcjGfr6H1qZQTHGbTO2u7cTrZTzu+WhBVCeAPp2zzSy2u8CSGNISAB+7GBwMfn6+9c8mrtc7fOfLKoUH2AwK6Gy1C0VEaYXUkuT8ibQm3aMfN1zu56YwB61yOMkbc3M9BLW1kRguPNkkYcu2AMnHJPQc1ftLKC/aWCeFRIg5xyCP8KhtoPs0wZphKHBc/7P8Asn/PetuOIxh7pgsbYJVSeoPFZuTT0GkjmJdDsQsjND8oxkg1zlzparI4RwGHKf3XX1B7V2k0MlxI8ZS45jOxY0By/GNxJ4GCTkZ7ViXdpcxiOS8iKITtAxgKT/nNawqST1JcUctNBLbyGOVGRxg7WXBwRkH8RU8FwLe2coziVjjA6bf8c1rajpM0sf2zzVkUjauH3HAGAD/L8KwNrB9uO9dSakjGzR0+kz4tH3Dh+Pl6jr0rf083UjRxx5X5VVFWU7cAHOR3yCufpXH20qhAox9MV1+liIWysIfLGcAFt3XGTn6DFcdVWdzpg9DeXV/Kigjzvm6Mygc4GM5Prjn0rUjkiuo/L89zmRgw259l68euPrk1hIloxla4ura2VSuQ7HLc84P6n8KxtU8aW2nq1poiCTAI8+QcfgPwrKNNyeg3JLc9CkXTtMgae6vYrWOQHl/mdgTu+725559vSuV1fx5pNpC8Olie7lYYLzNwccD/AD/OuSbQtY1TT/7a1O5SOF32IZn+dzjJ2p1wOMmsVzDa3A2ncVJ5IzWkaEb6u7HdvUu3kOq6vuvZ1YJKd25ztUn2/lWVLYyxddpI7A5rRl1C6mmy8cjsTjDqf0Haui0HS49THk3cQh3fMu+NgXA649a0dSUFqtC1ShO+upyCW8nkh8EKehY8UkZk3xjZu5zg9P8A9Veg+JLS3itUCJsjL5DFPm2Y4z7kBAPTn1rkQkMQSXBYg4ALZAOePqOPoauNTmMJX2LMEWlWloLy8ie5utxC2w+VNowNxPfnim3lxrGsSR20SGK3fmK3gXYg9gB1xkda0tL8mDzWa2S7byygSVeFYgZIXqcHt3zmux8I6VbLate3EkbTEDIX52jHb8W6ewOKzlUS3QKNzzn/AIQ7VUtzNMixKE3lScsB2GPXpxVHT7YCeQzbt6A+XGAWZ27CvZbiCGK32QR/6VIMBRyTnONx5x9PYVH4b0iOxikuZIlhDgG3VyHcLjq31qPrLa1Q/Z9jiNG0LVrxsyytFDkqyyL27j6/yq6IrezMhZvPyQxBxgc56fhXUa1HevFGbUEwI7GaJTyc9T784/SuY8Rz2cWnW1zESLkuUmLDG/3IqOfmZVrFWfVLec5QRovQNGgHbBqnLqq7hEzhlHSuYvb4b8RgAe1UPtL7txJ/OuiNG6uZuokdNqiRSKCOjCs7TLZ/KviqFmjUdulRyX++BNxycVo+Hb9YdO1XLL5kyBQD3quVxi0TzJsylEkrFQwU8d6bfjy38tXypxu2ngmiaNhGGGACTjnk1WVXd+a0ihMmsLo21yDn5ScEV0wwwBB4Ncr8is2Rzjj61vaRcGe3KHqtKa6klzbSbfapdtJiswI9tJtqQrRtoAhxSYqXFNIpgRFfamkVNimlaBEJFIRUhWkIoAiIphXFTYppFAyEimkVMVphFAEJFNIqUimEVQWIyKaRUmKaRTERkUwipSKYRQIjptSYppFMBhFNxTzSUAApwpBT1oAUU4Ugp4pAAp4FIBTwKBgBTwKQCngVLHsCipAKRRUgFIAAp2KUCnYoFcQCnhaUCngUDGgU8ClApwFADGGBmuY1CbzbpiOg4rqZB8h+lcdN/rW+taQRLYzpRkk5NHenHBYba1JAnnNHan3KJHMyxuWX1xiozzQMSiiigQDIOR1q7bXzxcE8VSpRSaTGnY6zTb97m4gt4ZlWSWRY1ZzgKScZrp/ENpf6Jetp95IS5UOrEY3KRwcV5fHK8Tq6NhlIIPoRW7/bUt4TPeTTTXJ4aR2z8vb3/WuedK2qNYzudjox8i5ifzpEXdjCvgc/pW/e6WMNvhi3Rqy2gB3GQnOSfVifrwc1xel3yMAGNdBLcmzsGZruZYpGCDyzyxPYfkemK5ZJqWhqtTP1bSxZyTBXJmkBLBRuB24bkdR1A/A1w+swiO8kmEZj8yRmC4wAM1119F9gZkeaUOFXaofqCM5Jzyeeme/tXO+JNPmszGZo2Vm5+Yn9ARkCt6EtQqwcVqYizuv1q42s3RhESttAGMjris3FLXU4xe5zczJpLiaUYeRiPrVuzhiQ75XRDjjcelVLfmQD5Rk9W6CrNpYyX1yV85Amfvnv9BSkrIqL6s0nv73U3FtZLLIDhWbkk/j2HtXTWPhrT9IZVvCkl4Gy4l4UICA3IPHPfHTp1qOC1i0yWysdOuh9qYCR5lIKxr13dOTgkfWm3puEnknn1CdyrbEuSVJfJywUEDn72Tx+OK5W76R0Rvdt3Z1X9lWBnSa7ikhmbZIVQlQdynahz04+Ygen0qWzmjhtZPsdojJBu2GY7mfcAGDAnCcsMgeuKzrBkuLSMsJJ5yv7ozSZ288nHT6noSvHFW3u4tsu6UzSF2ZlzgEnouPfr+vOK52y0Z2rpMlpJBOi3zMC7SRLwzs3HP8AsrwD3yfSuTWN7iRBtJePhERMIp9v8e9bskGoXN+HD7Y1nEqgOdqrzk+wwRx3rTuNX06O1cmwEV0jHyVK4Izxl/fOWx747VopOOxLV3cwbWyYzyQs5V0UKxzy7H+FQOpJ4+gr1LTrJNOsIbUwIXDBmEa4DN3/AAHauP8ACtgrTpqN2whtwT5KMPvv0yB3PX/IrqtY1U2duds62rt/EU3uPovQH6/lWFSd3YqKFNrfx2JYuZrsM23Yvlrt7A+oH+FU7a3ngjmvdUkWO5ZFRQZN2056n/61ZepeOrXT4MCRmfpy3OfevPNY8ZXmpyYbmLumcAinTpTmNyjE7rVPEf2TTxuuYjc9jAflA/xrzLWNWa+kCqTsUnqazpbl5WJY8dh6VFmu+lh1DV7nPUq8ysBOeTSUUV0GI7fuwD0FT24Uucuyr7d6rgetOVivSkwRd89FzGRntuNMYnPGBzVQHc3Jxk08vtyoOfep5S1Ie+HYVo6E7LeFAOCKyFbBrT0Jm/tEYB6US+EVzqSvtTNtTsvNNK1zgyErSbal20baYiHbTSKm20hX2pjuQ7fam7fapitNIoAhK00r7VMRTSKBkJWmEVORTCtAiEimFanK0wigZCRUZFTkVGRQBERTDUpFMIpgREU0ipSKYRVEkZFNIqQimUwIyKbipGpuKAFpw6U0U8UAKKeKQU4UmNDl6U4CkAp4FJgKoqQCgCngVIwAp4FAFPAoAVRTwKFFSKMUAIFpwFKBTwKAEApwFKBTwtJiI3X92eO1cXccXEg/2jXcOPkP0rh7n/j5k/3jWtN6iZFSjhhSUVqSPkOXJptSywTQhGljZA4ypI+8PUVFQN7iUUUUCClFJSqCxwOtADxEWGUIY/3e9NwynuCKuQadNMMqKSRJIyUmXfj8xUc8W7JkKpFuyYsF3tjYMzKwHy4HU1rx6g93YrB5uJI38yIt0zjoaxxaq67kkH+61RgSW75xiocYy23NY1bM6O01y7h1ddRu54pLlBlQ8RbYR324xn0Pam6/rz6pZCK5mmlkXBQy54H4+3vVfTNWghmD3EKS8bcnqARg1smbw7f4Igkt24AUNuA4wTz+P51g7RknbY6vaOUbdziI4ZJSRGhYgZwOtMNdbf6PYzXk/wBhPlxL8yuz9ieMEDt3rCeykmZwSoljO0n1/wDr10xmpHM4NFFemB94nAq9FcfZoyoyT0IHT86qPFJAVLKVzyCe9N3ljz+JqmkydUzrPDtzJbCa5+ZppBtwQGAyCBnv6/n9K1LtDNIiRosYER2q+W3MSQX/AOA4HP8Aebgc1ydjfhZE3IdqknavGD6j3rpY5JrgNGF8iKRQGSMBmPGVAB7cE4PeuaaaldnTB3RqebLYWkK70Z41BAkYfMBwAw/Cm2OuxQWwaREcAfKvTsM5P1qrqVtHDCjXN0bdYgPKUHJEZ9B3zx198cVkppxu4hdXtyLPT8/K7j55B/sIOv1PFc6p31Z0OUUtjYutci1PUnNtAYopGQi3iYtyOcCmsltZ3Bnv/wDTL12zHYRtuAY92I/lWfb3LzN9j8O2xhjIKvdzEeYwxk89unQVlR6ncaFPcCzuFleUANNjJB65U/1rWNLojGU9bs646/Po1ydQ1OYNeMuIrZMDyl7D/Z61yuteLr/VpCCRFEDkInH5nuawZ55LiVpJDlmOSaQRHuQK2jQhF3e5hKt0QPJJIcu7N9TTQpPQVZig3MqKpJPoO9XJNLuYxhomUjsRg1q5xRzTqxT1MooR6U08VNLDIjHcDUJFUnctNNaCUUUUyhcmgmkpc0AA7/SkoooEKK2PDg/4mP8AwGscVteGxnUT/u1M9hnWMvPSmFasFfamFfauZDuQlaQrU232oK+1MVyvtpCKmK0hX2pgQbfamlanK+1MK0DuQkUwipytMKmgZCRTStSkUhFAyEiomFWWFRMtAEJFMYVMRTCKAICKjIqwVqMrRcCEimkVKRTCKoTIip7UwipiKjIpgRHrRTiKSmIao5p4FNA5p60gHCngUgHFPApDFAqQCkAp4FJjHKKkApAKeBSAAKlUUiingUCFAqQCkAqQCgLiYpwFKFqQLSbC41Vp4FOC08CgRE6/uz9K4S6/4+pf9416BIv7tj7V5/c/8fUn+8a0pbiZFRRRWwhxdmABJIHT2oRN5I3KuBn5jikFFAXEooooABWppliZ5l4rPhUM3Ndl4dtg0q8Vy4qr7ODZyYuq6dNtHSaToqiAfJ2rC1nRXa4fEdepaNZL5OSucCtOTSbef/WQqffFfJLNHSqNs+ZwuMq06rlJXueExaFKV+5UF1p0kI+Zcj0r3Z/DVpsO1APwrmdc8JllZ4cMPauyhnUZzsz2qOJqTd2tDxuSDYN4GAxwP8/jUYjJ/jA+tdHqmjPE5JUj1rElRkO0qCor6CnWjUV0z0qdZPQktEurudbW3Yl/4mB4UV0VzoJsNPWaG5WUKNzxSfx/Q9q561vxYqwhAUsck96Zd6zczxeWznae1KcakpLl0R61GVBUm56sn1XWLXUsRx2KWygcBGzg/wD66wzwxFJn1pc5rqSsjgbuSQyMkgK9c10cev3EMIjtpFh6mSZU/eSZ6lz1/wD1muc2YTIpN7Y68nqaUoqW5UZOOhsxX0UeLu4QTvn9xAxyD/tN/hVeW4n1K6a5v5mc85HcYHp2HSqSzFWyDnaMKfSmNISDhzk9eaOVLYHO5cu9QeQbQ2xFGESPgCqiJJLu2gttGTjsPX+VRojSOFFdBp2jSmQB0IPoRU1KkaSuzGdXlRmQ6fLN0FaC6JcEZCV3Ol6AGIAjNdbZ+GousoH1rw8Rm8YOyOL2s5bHldp4bnYKwGD164Nddb6JN9jH2iQyuR1JJI/GvQIPDcAj3R9VHpUM1mMYwMfSvJq5vKq7RPBzTE1o2XKeL63pQiduMVys0W1jXsHiKwUxsSvNea6haornHHNfQZfinOOp6WWYqU4LmMGipJU2ORio69fc9pO4UUUUDAUUUUAKK3PDAzqLf7tYijNb3hVc6i/+7Uz2KOyK0wrVgr7UwrXOIh2e1N25qxtpNvtQBWKUhWrJSoypoAg2U0rU+2msvtQBXK+1MK1OVpjL7Ux3K5WmkVOVphWgLkDCo2FWGFRstAyAioyKnYVGwoAiIqNhUpFMIoGQsKYRUzCo2FNAREVGRUxFMIpiZERTcVIRTcUANAp6ikAqRelMQoFPApBUiikMUCpFFIozUgFSMUCnqOaAKeBQIcoqRRSKOlSqKAACnqtCrUgFAmCr04qQLSqtSKvtQIaq+1PC04LUir7UguQyL+5f6V53df8AH1J/vGvSZF/cvx2rze7/AOPuX/eNaUtwZBRRRWwgooooAKKKKALFsOa7PwzKvnqK4qBgGro9EuRDcLzjmuHGw5qbRz148ysz3TQ2DRge1dEkQrg/D+ojao3V29tdI6Dnmvz3GRlCbPMeGipXIdU3CJY0OC3eoLfRZPL3+bu9Qafq6tJGksWSyH7o7iodK1KZx5YUnHr2rFc/s7xPcoUo/V/dOf8AEegx8sBkHrxXmOsaUsROBxXtetTgwFTXlniB1w/Ne/lOIqOyZ5so8stDzm7jMbEVT3HvWhqDfvGrNzmvs6esUdtN+6O4HWlDDHTNMorQ0uPBLMBuxn1p0sJikZchwDjcvQ/SowSOlP8AOfbtLHFA7jcE5wKFUs2BSZJPFSpG6YcqQucZpN6BY19JsWeRWA4zXo+g6OsoBIyfXFcXosi4WvTPD0ygKD3r5zNa00nYwqw5kdNYadFAg+XpWFI19qd48kUnl28RIX3xXUb/ADLWRIz85Q4+uK4uy1wi2FkI3E4OGTbyDXzmGU5807XZ25ZRhzNzO38NyPPAQ5BKgg+9OuolBNO0SFrDSwZBtlfnB7CmXcowxNcDb9s3HY8nOqMKk+WPQ4nxLhUYD3ryvVBiVh716N4nugxZQa821Fy0hz2r7HKotQVzLDU1FJGFcn96agxUkzbpCaZX0i2PTWwlFFFMYUUUUAOBxXQ+ERnUn/3K5yum8GqTqL4/u1E9iuh2xWkK1YMY9KYV9q50IhK03bU+32pNhHai4EBX2phFWCtNK+1FwK5X2phX2qwV9qaV9qYFcr7VGy8dKslfao2X2oAqstRkVaZPaomSmBXK1Gwqwy4qMrQO5AwqJhVhlqNl9qBldhTCKmIphWgCEiomFWCKjYUDICKYRUxFMIp3AhYUypTTCD2piGgVIo4poHNSAUXEOUVIBTFFTKKVyhVFSAUgFSKKQCqOKlUc00CpVWgQqrUqr0pFXpUqrQK4KtShaFWpVWhsQgX2qVV9qULUirSuAgWnhacF46VIFpXAgkX9y/0rzK8/4/Jf9816lKv7l/pXlt5/x+Tf75rWjuDIKKKK2EFFKACDk0h4OKACiigcmgCZYmCCXHy5wau2s/lyAg8VQDMqlc8elIrEdKiUOZWFOKZ6No+tGNV3HpXb6b4jUgZevFbK/ZMKSfrW5b37hcpIGx6GvBxmWRm7nLKNme0Lr0eAC2fxpJPEUSr94D6V5KNXmUYO4fWo31mTGPM/WvMWTGkJWVjutU8QiRWG79a4PV9QDswB61QudawPvFj6VjT6pI7HaAK9jB5d7LZB7O7uxtwplkJJ2r6mqZCg4HSlkmeQ5YmmCvaSsrGyVkSBYzwWK++M1ILNnGYpYpPYNg/karGiqKJXt5k+9Gw/Cojkdaessi/ddh+NPFwTxIqsPpzRqGhEKsw3KiNopgSp6MDyP8aVY4puFbax7E4H61HLAYjtcEN6EYpDszS0+/W1kwz7l7EV32jaoCAY3B+h6V5ctuzjKEH2PBqe1vbmwlDIzAjsa4sVg41loS433PfbDWlIALYIrXh1OIP5g8vd67Rn868Ps/FnCiXcp745FbcHihXGFuE9s8V83WyepF6DjNwWiPVZNSBOQxPGeTWTf60oiID8+tefz+KHjGNx/A1i3viR5c/Oamjk8ua7POrU51Z8zNHXtVEjvhq5G4uJZI5HZiQo2Lntnk4/WmXd8Zc8nFV7hoiFELOeOdw719PhsOqUUjppUuValaiiiu03CiinIhb6CgBDxigU5hg000h2sJiur8DjOoSf7tcpXXeBFzfzH0WpqfCB3jLxTNnrVkpmmFDXLcRDt9BTSvrU+32ppWi4EGwYphX2qyUqMpRcCuV9qYV9qtbfao2X2p3GV2X2phWp2X2phX2p3ArsvtUTL7VZZajZaYFVkqJlxVlhUTDNO4FZlqNhVhhULLQCIGWmEVOwqJhQUQuKiYVOwqJhQBCRUbCpyKjYUIZARSYqRhTCKoGhoFPApBTwOKQD1HFSgdKjWphSYhwFSqKYoqVRQA5VqZRTVFSqtAmOValVelNQc1Oq0CBVqZV5pFWplFIAVenFSKvtQq9KlVakBAtSBaULTwtJgRSr+5f6V5Rej/TZv98161KP3L/7teS33/H9N/vmtqO4Mr0UUVuIMUUCnIoLDPTvQA2lFWGth5PmiSP7+0R5+bGM5x6dqbPCYTH6OgYe4pXHYu6nq/8Aalvp8T20cbWkHkmResvJIJ+mcVRVUJwCM+5qKimxFgRlf40H/AqnW8aJNol/CNf61nmjn1qeVPcGky6b9z0B+rHNQyXUz9XIHoKhpQuepAoUIroKyDcc5PWk608In/PQflUsbIpGGUH1xTbLUbjUtJ5fuRMfwqwNKuMZfag92qWO7RPvSZHsKl/taFeBBv8A94msnOfRG8KdO3vMrrpbNj95n6LUo0WVvuiRvotPbX5gMJHGg/2RUR1y6J4lYD0zU3rM0UKC3Y9tAu1GfLkx7rVWbTbmEZaJ/wAqtJ4gvFP+uf8A76q3H4lnIxIQ4PXcKXNWXQPZ0JaJnPkFTgjBqaO6ljQRkq8f9yQZH/1vwrXmvbO5GJIAD6rVCS1tnP7uXb7EVqql91Yzlh2tU7kW+3dSoLw57Z3L/jT185FztjuI/Q/MP8RURs3H3GR/oaYYpoTuKsuO4qroxs1uaKPpM8BjkjltJlyVlU71PsR1x781TeCaMFkfzF/vJyDS232i+uorZQsjyusaB8dWOBz9afd28ml6lc2cxMVxbStDIEYMu5Tg8jqMiiwXTKvnSdGJppOane4Zjl1SQfTFJLPBIqBIPLIGGO7O4+tHyFZFfOaPxpSy9hTaYhcUYoFLgnpTATFWIIN7qhJBccYqADLYq+YGNp9o3hY1YIozzmpbKiQG3zFI5dFMZxgnlj7VX6dauTRtBMolG7OG9mH1qvJs+btk5A9KEwkRYrsfAIzfTDn7vWuNrtvh6c30y4PK9amp8JJ6DszTSlWClIUzXJcRWKegphQ+lWitNK0XAqlfamFatMlRlcUwK5X2pjLVgrTGWmBWK+1MK1YK0wrigCqy+1ROtWXFQsKpMZWdeKiZasuKhYUwK7LUTCrDCoWHJpgQMtRMKssKgYUFXIGFRMKsOKiYcUAQmo2qVhUTUARNTKlIphFUMatSAcU1RzUgFSA9RxUqimKOBUqigQ5RUyjpTFFTKKAHqtTKKao4FSqKBMcq1OoqNRU6ikIcq1Mq9DTUXNTqvSk2AKtSqvFCrUqr04qQGhaeFp6r7U8L7UhXK8q/uX47V5Df/wDH/P8A75r2SZf3T/SvHNQ/5CE/++a2o7gVqKKVTtIOAcV0DEqwjCJFkjb94M5yMioCcnOAKk89vs4gwuwNuzjknGOtA07F5FtzbB3cs5OMDggdz0qlJgltucds+lRq5Ax2q/p2rNpwuQLW1uBcQNARcRb9gP8AEvowxwalJjck9Cgc5APamninE5NNqiAooooAXGaXB7ilQkH5RzVy3067vXIjQk4zipcktzSNOUtkUcU+OF5CQik45NTS2csTFXGCK09NTfbBMZYHGBUzqJK6NIUJOVmYzwyR9RTAMmumbTs5Lg4rGvLcQXGAcqeRUQrKbsaVcLKmrldYSRyQKHhKjIINadvo888ImGRG33Se/wBKhu7B7bPU4p+1V7XG8LNQ5mtCgkZc4FIVIqWOIyNgHFbdvp0Hk5lQk49OtOdVR3Ip4eVRaHO5pw3HpWxqGmJEgaIY74rOVPLCgDLEZNOM1JXRM6M4S5WNW3uGGVQkVesrgtuilGWwQM+tSxW18Ytynan1qG9W6UI0iDKchx1qOZSdjR0ZRV3cgliQS4+6exFV5bd413HlfUf1q08gnAkdcjvjAIP+FJ9rG0p1GMemR71abRlKMWUAcdKcRU3lJJyjYPoaiZDG2HB4q7mTjYZjFFFFMQ+NQ0gB6d62oFMIk+xlMxpvkZsE4yB369awwaeZmByODjk56+9TKLexcZKJpQ6dNcfvMKFkfaDuChj14p1rFBDNJDeuRG0bEFMMQw6frWaLp/MR2Cvs4AYZGKb5rdgMfSlysHJPYtzyPIIPMcPtGBzyBnpVSTiQ5FOhJaYFug5NMJ8yQn1ppWE9UNrt/hzk6jOoH8NcSeK7j4aj/iaze61NX4ST0xk9qYUPpVspTClcZLKpT2phQ+lWynoKYUoAqFPamFMdqtsvtUbJTAqlRio2WrTJioytAymy81Gy1bZKideKYFNxUTCrTLULrVICs68VAy1ZdeKiIqhlVhUTDmrTCoWHNMCuwqFhVpxULCgdyswqJhVlhUDjFAyuwphFTMKjIoAhYUzFTEVGRRcaGjrUoFNUc1IBQIcoqZRUajJqYCgB6LUyimIOlTKKBMcoqdR0piCp1XpQIcoqdV6UxVqwi8CkA9F4FSqOlIi8CpVXpUMBVWpkWmotTKKQgC08LTlWnhaAK8y/uW+hrxjUP+P+f/roa9tnT9w59jXieo/8hG4/66GtqO7H0KtFFFdAgooooGGeKKKKBBTsHAbtTcUc0AOOWbkgUmKUjNKn3qGUlct2qCum06C5SIPGsgVxglRhiO9ZWkwrJOigA45zXfJbgxKpAGO9eVi6/K7HtYeCULHF6hsA8uNpWTJO2RRxTvD8AmkYZHFWtXXy3Z8YOag0i9t4buBIYTE2zbIS27e2Tz7ccY9qbk5UXymtNR9srnQTwJHE25eAOnrXI6ijfbR5qbWJ4A7Cu0nYmMyHlU5/+vXFamZJrmOaRtxdsnmssG23dnTmKio6HYaLZ+ZpykuSqrkZ6DPtVDVoYwWjMY5710GjJt0wL6gVzXia58glQfvcfhXPRcp12RKqvZWZg2MMZutu4DnvXa2unpJb5+XIxn61w1oki38JYZL4IrtIHYW/Qj61043murMrL3GzTRQvrZTuGM4FYEMAN+Bt4UDg11aIty0hRcbVwec5OOtZtrbK17ISACRhST1NTRqtRaLrYdOSZ0VnYrJZj5f/AK1ZWr6ZshdmAII9K39PvIY7bZIdjDjBrO1vULeS0dUcE1w0qlVVTtrUqXsrM89Szd7sRIvDHoa0JfDN15RkUBgOTip9K2jUFZup7120i+XajapYnjCjNenXxc6ckkePQy+nUg2zyd1kibYwIIoed3Taelb+uWeJi23HNc9Ku1tpGCK76VRVI8x5OIoulJxI6KKAMmtjkuL0oqREXOX4Hp3pZmj2gRrilcrl0uQ0UUUySWI7Vc98URgfjimq5VW6c0Bv3eO4PWkVcRhzXffDBd2pz8DO3rXBscxg967/AOFu06pMoU52Z6cVnV+AD1MoTUZjNWylMK5rkIZVKUwp7VbKGmFKAKbJTGT2q2y1Gy0AVGTiomU46VcZBiomWgCkymoXU1cdagdaYymymoWU1bZKhcVVwKjqahKnFW2XioWHFNAVHWoWBzVphzULjmqGVmHtULA1aZahZTTArMKhccVZYVCy8UFIrkVEwqdhUbCgCEio2FSkUwigYijipFFNFPHNAEiCpVFMQVMvagTJEHSplHNRoOlTqKCbj1HSp1HSokFTqOlICRB0qwo4FQoOasIOBUsCVRxUyjmmIOKnRam4mOUVMo6U1VFTKo4oAVRTwKVVqRVpXAhmXMDj/ZNeHan/AMhO5H/TQ17vKo8lz6Ka8J1QD+07j/rof51vQ3AqqpZgo6k1Ne2j2Vy0Eh+dcZ9qs6bayl1vDGTbxSLvYdu9V72c3V5LOx5diea1TvKxtyJU7vdlaiiirMQoopVUscCgEri0nQVcNqYkQSYXfzk9h61WdVBG054pJ3LlFx3JYEZgQozkc054DGQSMevtV7SowxBNX9UtVWzLgc1zyrWnynZCj7lyTwzEGnLE8Cu7CFbME9TxmuR8LxHLA9+K7S8VY7C2H99S36mvGxrvVO+jpE43WFBRs1g3ZjW2ilt3+YdeO9dBrn3GFcU87B+D0Nehg480DCvWULo6TTtTe9iMErkYHODyayrpj9vihJ+6QM1U0+5FtcqxOFPBqVpRcaumOhkAzXQqPJJ22Mp4p1KaUnqerWSiLTFJ9B/KvPPEdz5+pMAwAQE813rv5WmKM9AWryjULj7Teyydixx9K4MBTvUlIvFVeWCRLaXBaeJTxg136Og00E8kdK8zUlWDDqDXbzX0a6etw7fIygj8uldONpczjYMBXa5rshGvJpzzA7izphcevas/R76R7hyze9Yd1cG4naQ96v2brDbFgfnPGPatPq0YwemrBY6cqqu9EdFNfhvlJ5AqnczxwGRJwzlo/l2nhW45PsOayobnzp49sjZPLDHT0+vFR6jMwdSre9RDDqLsbVMbzRckXLRwtwnzAnOeO2e1ejWuWsVY+leWac5a7UtySck16fZE/wBmKSe1cOZxs0duWVuZM5vX4AysQK4i4jKPg16BqwLKwFcPqUflz/WuvL5e7Y4c0hrzIpVctrbcN24E+3amWkSySgMMitGbS2jUSwscdeK7Z1Enynm0qTtzWM+7VVfhNvHTOaq5zVy9dpZWZ2DEcbgMZqGCEysABk1SdlqTKLcrIiYDORTcVNPCYZCp61HVLXUzkmnZiU6MZbHrTKchwc0MSWo4jClc8g16J8KZHOqTxbRs2ZJxXnLcNn1r0b4Tu/8Aa86KPlKc4rOr8AM9bKU0x1a2+1N21yElUrTClWigNMKH0oAqMgqNkFWyg9KiZaAKjqMVEyirbLxULLQBTdRUDqKuuvtVd1poCm6ioHUVdZaruvFMZTZRioWUVbZeOlQuvtTAqMBULgZq0y1A681YyswqBhVl6gYc0wK7ioX6VYfrULdKBogYVA1WGqFqBkLdaiNTOKjIoARRUiDmmrUi9KAJFqdRxUSDNTqO1ANkiDpU6ioUHSrCcUEkiCp1HSolHIqdRwKTAkjWrKDgVFGOBVhF4FSIkRc1Oo5piDip0WpAegzU6rmmIvAqdVpMQ5VqQJQq1KopARTJ/o8n+6a8C1En+0rjj/lof519BSr+4kHqpr5/1UY1W6HpI3863objRvaNeR2nhHVVkUN5zBU9c1yx5JrRaXboaR9MyZrNzWlONnJ92dFaWkY+QhpxCnG3PTnPrSYzR0NamAYrQ0y28+8hjxkuwFQwQ70uQPm2JuyPQEZ/nWjp00lnMLiLKvGMggdDWVWVo2OjDwTldia1dbb5vK6IfkPpjpWKzF2LHqTmp7mTfMxqGqpq0Uia8uabNbRpMylSa19YIGnD1LACuf0t9l4o7GtTX7gLDbxKeSSxrlqQ/fKx1U6lqJ0XhVN7Zx0NdPqBPkwL2WPj881z3hFcRSOTnHSug1HpEP8ApmK8fFa1WdtPZHHa8wWBjiuHPJJ9a6/xRLtt8DqTiuPr2MCrU7nm4yV52A1PY8X9v/10H86gp0blJFYdQciux6o5Fuek+ILs2uhuwOGK7V+przMnJrtPGt0DbafCj5EsS3HHoRx/WuLrlwdPkp69TpxU+aVhankvZpreOB2ykeQtQUmK6tzmTa2CpEmZHVgFODnBGRUeKXFMV7E0twGuHliQRBmJCKchR6D2qN5GdssxNNxRRYd2XNObF3GPU16rHtj0yIeoryax3C8iI/vivWrwGOOCI/eWMZ+pFePma1ietl8nysxb8kbiF3f0964jWGBusCu6vsJbPITweK87vZPNunYHjOK0y9E4+o2rBbPiUc9TXVwJiAdzjNcfEcSp/vV28Kj7OD/s1tjNLNGeEfNFrscvqoRJvlGM9agsnKzCpNUYG7IHaq0DbZAa6IL92czlaqaF7b/x84NZTDDEV0k0YltVOe1c233jRRldWKxMbaj4o2c4UEn0FCDLEUI7xHcjFSeMg0sYwx+lamC6DzEWgJHO0/pXoXwjBOr3OMcJk1wdvhHVGOVkBFehfCOJl1u8jI5CVlUfu2CS0uewbTSFanK5ppWuaxmVyvtTCvtVgpTClAFZl9qiK57VaZOajKUgKbL7VC61dZfaoHXk0AU3Wq7qKvMtV3X2oApstQOoxV11qu68U7gU2QYqu6jNXWXiq7rzTGVHXFVpBVtxVZxyapAis4qBhzVlxzUDDk1Qysw5qFhxVhutQtTArMKicVYfrULigogaoiKmao2HNADBUyVEBUyigGSpU69agTrU460Ek6CpkqFOlTpQ2BOg71OgqFOgqdKQEydqsp0FQxrVhBUMROgqdBUaDpU6ipESxrU6rTIxwKnVeaQDlWpAtCrUirQBFIv7p/pXz9rHOr3f/XVv519DSLiGT/dNfPGrtnVbr3lb+dbUNxobMcWEK/U1UFWrj/j0h+lVa6I7GlR6okiALc00jLGnRnGTUttbyXM0UEKlpZnCIo7knAp9Q6FvQk87UxbH/l4jkiH1KnH64qRpALQMBglRn3qhFdTQzQyI2GhcSJ7NkH+laGsmNfmiXbFP+9QegbnH4HI/Cs5q7RrTlZOxjE5YmkoorU527ksEnlTo/oc1PqFybmcNnIAwKqClzSsr3KUny8p6B4Rl32WQecYPNdVqi7ZEH/TNf5Vwngm4zJNAevBFd1qp+eNuxiX+VfP4yPLVaPXw8uammeb+K5SbpIweBk1ztbHiSTfqZH90Vjivbw6tSR5eId6jEooorYxJZJ5ZxGJZGcRoETcc7V9B7cmoqBRQAUUUUAFFFFABRRRQBr+HLb7ZrllbkcPOgP0zXpl/J5l1Kw6FjXHeALcPq63B5WBHk/If4kV08k4gk8wgNs5IPc14mPfNVUV0PXwitC5z/iy9Fsv2RG+ZVw3171wx5rW125afUHDHJB5+tZOK9LDU+SmkcGJqOc2KvBruI5Aunhz/AHa4cD5gK6e/n8nRlGfmZQoH1qcTDncUaYWXKpM5yeQyzu57nNR5wRRmp2tHFgt2DmMyGI8dGAB/XP6V1JWVjkbu7m1YyeZYgelc+4+dvrWxpz7bKQnoKx3OWJrGlG0pHRWleMR2Mxg++KkwAFYfQ1EpzGR71KD8oHvWplEYGIcc9OlemfCe5WXxVOg43QZ/EV5i/Dn616V8GIfM8T3En9yA/wA6ioly3C+jR7eY/amFatEVEV9q5jIgK+1MK1YIqNloArleelRMvtVkryajZfakBVZD1qF1q4w4qF1yKQFJl9qrutXnX2qu6+1AFNlqvItXWX2qvItAFJh1FVpBzV1xyarOOTVAUnWqzrzV1x7VWcc9KpDKcnWoHHFWpBk9Krv0qhlV/vVE1TuOahagCBqgYVO/SoTTGQsKiYVMw5qJhQMYOoqZahHUVMvWgZKg6VOoqGPtUyfeoIe5OnSp06VAv3hVhOlAE6dBU6dKhToKnQcVLEWU6CrMY4FVkHSrcQ6VLAnQcirKDpUEY5q2gGKliJEFWEHSo0WrCL0pAPVakCigCpAKAIpB+6f/AHTXztrY263dqOglb+dfRkg/dP8AQ1866+Ma7ef9dW/nW9DcaKTuWiQelRU7PyUEfKK6FoU9RyAFWO4Ajt61p+HZkg8UaQ8pxHHeRFz7bxmskHBoyd2QcUMLl+9s2i125s3+VkuXjb2wxFOubozwyQhQ0cbFk9UH+H+NW9Zu4r3W5dQjIzNCksgH8MhQbx/31uNZME7Qz71CnOQVYZBB7Gla+o07IS4t5rWdoZ42jkXGVYYIyM/1qKrmqXE11qdzNPI0krSHc7dSap0yGa/hm3t73XYrS5RWSdJIl3Do5jYIR77ttZJ4p8E8lvcRzQtskjYOjDqCDkGtHW1hnuF1C1CrBd/OY1/5ZSfxp9AeR7EUxkvhe5+z6zGueH+WvTdSOYYHzkeSP6ivHrWY293FL/cYHivWpphcaHazA8bWB/n/AFrycwp3nGSPRwUrxa7HlusP5mqTH3xVGp75i17Mx67jUFepBWikcE3eTEoooqiAooooAKKKKACiiigAop8MRnmjiUgM7BQT0yTiiWJ4JnikUq6MVYHsR1oA9A8DQ+Xpt7P3Kqg/E5P8qbqt2ILaR2P+1zxmrWiILHw5k8GRz+gH+Ncn4ivvMl8hTkE5avHjD2uIZ6spezoow5JGkkZ2PLHJplFFeweXe+pJCheZFHUmruq3PnTiNT8kYx9TUFjbyXd/BbROiPNIsas7bVBJxknsPeoHG1iM55PIpW1uVzWjYbWxowN5Y6lp3V3h+0Qj/bjyx/8AHC9Y9T2l5NYXUdzbvsljOVOM+xH0I4pkEsc/laeyjqzVSpck/SiklYqUr6Cg07dimCkNAk7FtYoTZyzPOBMGAWLbksD1Oe2K9W+B9sHudSuAOVQKPpXj+TjFe1fArmHVPqv9azqfCN7HrhX2qMrVgrUbLxXOyCBl9qjIqwVqNlpAV2XmmMvFTsvNRleKAK7LxUJHFWmXioWXg0gKrrVdl9quMtQMtICmy8dKryLV11OKrOtAFGRaqyLyavyLVWRaaAoyCqklXZByaquvNUMqOOarOKtydarOOapMCs/WoG6VYcc1A3SmMgcfLUDVYf7tV26Ux3ImqI1K1RGgZGOoqZetQipRQFyeOp161XjqdeooJZOn3qsJ0qunWp0PagCynSrKdKrR9Ksx9KliLUfUVbjqtH1FWo+lQxMsRjgVbjHSq0YyBVuIYFJgToKsItRRjpVlBSAeq1IBSKKkA4oAilH7p/oa+cvEP/Ifvf8Arq386+j5R+6b6GvnDxD/AMh+9/66t/Ot6PxDRTEJNqZewOKg7VeLhdJCfxF81RreOppUSVrdgoooqjMkXcY2I6DqafaL5l3EuM5cVKw8rT0HeRifyqOyO2cv/cRj+hpJltWsRyOZJXc/xMTTDS0hpksKXJAIBOD1FJRQIMV6T4cvPtfhKSJjl7d+/wBMf4V5tXVeBL1V1SXTpGwt7GY0ycfvP4R+PT6kVz4ql7SHmjow1T2c9Tm7v/j7l/3zUFTXQYXUoYEEOQQfXNQ1vHYxk9WFFFFMkKKKKACiiigAooooAmtbaS8u4raEZllcIg9STgVo6q6Xfim8aHBiku3KFehG44NU9PvXsLkzxBfN2MqOR9wkY3D3xnB7daueHrQ3esRL/AnzN9KicuWLZdNXkkdbqtyun6Rbxn7yxl2H+0xJ/wAK8/lkaaRpGPzMcmtzxRqv22/aOM/JG3UdCen9KwBWGFpckOZ7s6MVV5pcq2QlFFFdRyGrb3enf2ObW6t5TcLKZI5IyMNkY2tntwOlZhOTSUUWG3cSiiigQUUUUAKKKBQ3UfSgYV7L8CZP3uqxnptRsfjXjQr1r4FSAa/fRdS9sSPwYVnV+EEe6FajK1YYVGVrBkkLLURFWCKjK+1TawFdhzUbCp2HNRsKQFdhxUTLxVhl46VGw4oArMtQOtWmFQsKQFOReKrOKuyDk1WkFICjIKqSDg1el71Uk6UAUZByarSCrkgqpKOTVDKcvWqslWpetVZO9X0GV26moG6VO/WoHqgIH+7UDVO/3agegZC1RGpWqI0DIh1qZagFSr1oEywh5qZPvCoE7VOv3hQIsJ1qZetQL1FTp1oAtJ0q1H2qqnSrUfQVDEW4u1W4+lVIu1XIqkRbjHSrcfIFVYu1Wox0qQLUYFWkAxVeMVZQcCgCRRUgpq9BTxQBHL/qn+hr5u8Rf8jBfD/pq386+lJB+7b6GvmzxEP+Khvh/wBNm/nW1H4ikZ8h/cqKiqSTt9KjrpWw5PUKVRk0lOT76/WmxLctX5wYY/7sYFR2/CTt28sj8yKS7cSXLkdM4FOi4s7g+u1f1z/SpWiLbvK5WoooqjMKKKKAAVJHI0Th0JDA5UjqD61GKWgCW5uJLu4knlOZJGLOfUnqahpaSgAooooAKKKKACiiigAooooAK0tO1L+z7acRL+/lG0P/AHRS6Vpa6iLktOIvKhdxkZ3MBkL+OMZ9cVnH5WHtUtKWjKTcXdFqK0laGaZ4JWRFDEgcAHgE+2aqHrWrFrLCza3lQSsLY2sUjE/u4y24jHfknGemfpjJPWqQm7hRRRQIKKKKACiiigAooooAVaRjzS9jSUAKK9K+Ck/leN4o8/62GRR9cZ/pXmort/hdP9n8d6S2cBpdh/EGs6nwlRPp8ioyKm7UxhWJJAwqM1YIqIikIgYc1Ew4qww5qIjipAgYcVEw4qww4qJhxSArsOKgerLCq7igCrIO9VpB1q3IOKrSVIFGQVUk6Grsveqkg4NAFKWqkvWrktU5aoCnL1qrJVqXrVWSrQys/Wq79KnfqagbpVDIX+7VdqsN92q7UDsQtUTVI1RNQMiFSqahU9KlU0CZYjNTofmqshqdDyKBFlTzViM81WU9KnQ80CLcZ4q1GelVI+lWYjyKkC7F2q7DVKI8irsVSxFyLtVyPoKpxdqux9qkC3H0FWU7VWj6CrSUgJQKeBTBTwaAGyf6s/Svm3xFx4ivv+uzfzr6Sk+4w9RXzb4k48RX3/XZv51tR3HEy5Dk0ylPWkrpQ3uFFFFMQE5qx0sW/wBqQY/AH/Gq9TSHEEY9STigaIaKKKBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBJHK8RJRiMjB96YeaKKAEooooAKKKKACiiigAooooAKKKKAFNJSmkoGKK7D4cru8aaOO/wBpX+tceK9y+B2g2U1lcazLCr3Mc2yJ2GSgx29PrWVXaw0ey5pMZp+2kxUNIncjIqMipiKjIqGIgYc1GwqZhzUbCkBA3Som6Gp2HFQv0NICB6gerD1XekBVkqrJVuTvVSSgCpL3qnKetW5T1qlKcZoAqy1SlIzVqY1SlNCAqyHmqsh61ZkPNVJT1q0Mgc1Wc9qmc81A5qhkTt2qFjipHPNQP1oAjaoWqRiDURoKIVPIqVTUCnpUq0CZZQ1YQ81VQ1Oh5oEWUPNWIzVVTzViKgTLsRyBVmLrVOM4AxVqJulSxF6I8ir0RrOiJyKvxE1DEy/EeRVyM9KoxMeKuRseKTEXYzVpD0qpGatIeKRROKeKjWnigBr/AHT9K+bfETkeI74jH+tYdPevpJ/un6V81+I/+Rhvv+uzfzrejuNGWetFFFdIBRRRQAU+Qk7R6CiNC7gCkflyaB9BtFFFAgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqe0tjdzCFGAcg7c9CfSmSxPC5jdSrDqDSuOztcYe1JTjSMMHFMAFfR3wMjA8DyPj7104/ICvnEV9L/BFQPh6hx1u5T/Ks6nQa2PRccUhFPpprJkETCozUxFRGkMibrUTdKlbrUTdKkRCelRP0qU9KifpSAgeq71O9VpDSArSHrVSQ1ZkqpKcZoAqynrVGU1blPWqMrUAVZTVKRuatSt1qjIeaYFeRuaqyGp5DzVaQ9apDIHPNQMakc1AxqhkbHmoGNSOeahY0ARt0NRk05qiJwaBohBqVDUANSqelUIsoelTqearIelTIfmqQLSGrEZqoh5qxGaBMuxmrMRqlGeKsxGkxGhEelXomrNiPIq7E1SwNGJulXYz0rOibpV2NulQSaEbdKtxtVGM9KtRmkxltTxTwagU1MDxQMH+6fpXzze28V54vvbWQNumkeOIg9JDnb+GcD8a+hz0r5z1YM/i+dYwS5uhgDud1bUdxowqKsX//AB/3HT/Wt0+pqvXUMKKKcil2Cr1JwKBEkDY3gDLMMCo3VlOG608o8ErK3DqSCPQik2vJlvTrQXpaxHRRRQQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUASQyGKVXU4IOa17547yzFwf9avGR3rMmtJIUVz8yMMhhTC0qR7DkKwyPes3FSaaZvGXInGS3Gd6G5NJQST1rQyAV9NfBIf8W6gPrcy/wAxXzNX018Ex/xbm2/6+Jf5is59BHohpjU9qY1ZMkYajNPaoz0pDI2qFulSuahY0mIiY4FV3J5qZzxVd2qQI3NVJDU8jdaquc0gIJG61TlbrU8r4qlI/XmgCvKetUZmq1KxweaozOcdaAK0rVSkbmrErGqch5qkBBIeaqyN1qaRhmq0hFVYZC55qBmqRyKgZhTGRueaiY05iM1ExFADWPNRMacxFRGmBCDUinpUKmpAaYFlDUyHmqyGpkPNJgW0PNToaqK1To1IC6jdKsRNVJG6VYjagRoRvyKuRPWdG3Iq3E1SxGnE3Sr0T8isyJulXImqBNGpG3FWo2yKzon6VcjbFSwLyMcVKrZFVFeplbjNAyxn5T9K+ctZuZbPxXdXEJ2yxXBdG9CDkGvohn+U/Q186eJwP+Ekv8f89TW1HcEZJJYknqaSjFGK6hhSqSpyOtGKUIxXdg49aBpD0jLru3Ac4qa4mVYRDHwo6+9Vw2E2j1zU0VrLMjSAYQdWPSpfmXHa0StRTiOcUlUZiUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTtpHUHnmm1vaXcWt3afYb6INt/1Ug4ZfbNTKXKrl048zsVtPu1Mf2eblfeq13CILoqvK9QfalvLX7HdFUfcvVW9abfS77j6KAfrURS5rrqbTn7nLLdFbq1DDacZBpDg8ijpWhzi19OfBYbfhza+88v8AOvmLOa+nvg1x8OLP3mlP61E+gHoJOaaTS5qJjxWRIjVE3SnMaic8VLGMY1A5qRmqB2pCI5G4qtI3BqWRuKrSNwakCJz1NVpG4xUsrYBqm7Yye9AEMrDJqjK3WrEr9apSMKAK8r9aozN71YlbrVKVqEBXlbk81UkbnrU8rVTkbmtEBFI1VnbrUkhqu5zmmURucmq5PNSucVATQAx+tRGnOeTUbGmAxiKjY05jzURNMZAp5qUGoAakBpiLCGp1bkVVU9KnQ80mBZXipkPNVlapUbkVIFtD2qyj4FUlbkVYVqBF+NulWo36VmxueKtxuKBGnE/SrsT8isuKQcc1bjfpUPQDWikq5E44rJik6Vdjf0qSTSR6nR6oRyZqZXzxmpGW5HHlt9DXzz4mOfEV6f8Apoa9/LfIfavn/wARnPiC9P8A00NbUfiGjKooorqGLU/2uT7N9n4CZycDrUFWbGxn1G8jtbZC8sh2qo6k0nbqVG97IgUZIFW7i6LIIkOI16CqssbQytGwIZTgj0NadnHDb25nlUMcZ+apk0tTWkpO8UZjROqhmRlDdCR1plWLu7ku5d7n6AdAPaq9UjKSV9BKKKKZIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAW9Osv7Qvo7XzkhLg4d+mQCf1xilubO40+YCQYPZlOQfoarwyNDMsinDKcg10k0qajalhgsRlk9/UVlUm4tdjpo01OLtujBluDPgtzio7iJ43UyDl1Dj6GpApiim55ztqJmaR13kngDn0q42WxnN333IxSnmntH8zBeQKj6GqIasJX1B8H+PhzYj/ppJ/Ovl+vqD4RHHw9sh6O/86zqaWJex3bHioyaVmqImsRCsahdqV2qF2pMYx2qB35pXYZ61XkcZPNSxCSPxVWR6dI/HWqsj9eaQDZJKqSvTpXxVSWTt3oAilkxnmqcj1JM9U5HoAhlk681SlfrUsr9aqSPwapARSPnNVZG5p8j9arO3NWMjkPvVdz70+RqgduKBkbtUTNxSuaiY0AI3WoSTTmaoyaoBrE5qIk0rGmZzTGQBuakU8VCDUgPFMROpqZTVZDUqmkBZRqnQ96qq1Sq9SBbVuRUweqavUqtQBfR+lWI3ORVFG4FTo4xSEaUb1bikrKjfjrVqOSpYjWjfkc1cjkxWRHIfWrcc3rUtAa6Se9TpJk9aykm96sxy80hGg0h2Ee1eEeJePEN5/v17aZflP0rxDxFzr12T3etaO40ZlFFFdIxacrMpypIphpRQNMUkk5NTSTs8ITPFMm8v5PLJI2859aIYWnkVFHJ/Sp03Zab2XUWCB7iQJGMmtVRFpUZkASScqRlhkDPtVqOKKzt9owWI+Y1h3cxllPPArFTdR6bHTKkqMLy3ZWoooroOIKKKntLSe+uY7e3jLyyMFVR3JoDcgoqSeBred4nKlkYqdpyMg44NR0AFFXtJsZNS1GK1Q43HLsRwqjqx+gqrOE86Tyt3l7js3DnGeM0XHbqR0UUUCCiiigAooooAmtLZry7it0ZVaVwgLHABPAzTJongmeKRSroxVgexFEUjRSpIpwykMPqK6fxfYAzQ6rCP3V2gc4HfFQ5pNJ9TSNPmi2uhytFFFWZhRUtvIIbhHZA6hgSp6Eelams6SLRlubb5rSYB4z6A+tS5JOzKUW1dGNRThjPPSpzasVEicoe47U72BRb2K2Kt2lxJbSD09DVmyhwjblTH94nn6VVu9ofiobUnym8YOC57j7/AOeQyqMIx7VTxWxLFJf2QMaKBBH27j1rI6U4O6sTXjaVwGR0NJRmkqzEK+nPhG//ABQFqvpI/wDOvmPFfSvwlbHgW2/66NWVXoJnfs1Qs1NaT1qJpAaxuIc71XkftQ8gqvI49alsAd+9VpHxRJJ71Wkk70gCR6qSSACllkqnLJigAllzVOSTFOklGKpSy+9ADZZOtUpJadLL1qnJJTSAJJOtU5H4NOlk681Vd+2atIBsjVWduae75qu7c0xjZGqu7U9zUDmgY12qB2p7moWNMBGNRk0pNRsaYCGo6cTUZNVYCEGng1EDTgaYE6mpVaq4NSKaQFhWqVWqsGqRWpAWlepleqitUivSYFxHqdJKpK/SpVbNKwF9JOMZqwj8dazkbFWEkpCZppIeOaspL71lpJ05qwkp9aVhGsko21ZjlwKyEm96sJNxjNKwGp5vB56145rxzrd1/vmvVRLx1ryjWznWLo/7Zq6S1BFCiiiugYUUUUAL2rU00pGWc9qzN/ybcD61IkuxMConG6sbUpqEuZmhd3OUOD1rL6mnPIWFEchjJ9CMGiEOVWHWq87uMNJS1atrGS5IxlR64qm0tWZRi5aIghheeVY41JYnFbjxQ6VDFA0rpLOR50ka5ZU74Gf071oWdnDptsZ2+9jcM+lc5NI+o34y6qZHCgucAZOOSegrCNT2srLZHQ6fso3e7K0uzzWEbFowTtJGCR2yOxplTXNrLZ3UtvOhSWJijqezDgir+h6a1/epkfuweeOp9K1lNQjzM54RcnZHQaFp/wDZ+izXMgxcXCkDP8KAf1NcYxySa9F1ORfIlC42Ku1cegGK84JwSK5cJN1HKTOrEwUFGKEooortOMKKKKACiiigBRXo2ixLrngxbaQ7niDBfYr1H/fJB/CvOBXaeAtQMVxcWe7BcedHn+8vX9M/lXLi0/ZOUd0dGFklUs9mcpfWslnctE4wQevrVavRfE2ix3JMiKFLDcpA6e1efzwvBKY3GCKrD4hVo36jxFB05eRFXUaHepc2DafPg7OY8/3T1H+fWuXqe1na2uY5lPKnNaVYc0bGVKfLK5pano0lqxkiBaMnoByKq6aJ2lKxc+qkZBrr7SVLm3DDkVfsbKyt5fOWFd3fivPeNcIuM1dnq08CpTUouyOQurVoG+aMxk87Sf5VlXOCeDXY+JFEshkC4xnGK4yUfNXRhqntI8xGNhyNxRPZX8trwpIB4qtNjzm2jAJzirARTbDaMsPSoRh7gBiAD3NdKtdtHDOMrJMiII60Ve1Hy1SBEIJCnOKoA9qqLurmU4qLsKwxivo/4WPt8D24/wBtq+cCc4r6H+GsoXwdbgccnNZVdkRI7h5B61E0g7Gq7ze9RNL71gTcmeTk81BJIO5qF5eTzUEkvvSuA+SUVVklGKjkm96qyS8HmgQ+Sb3qpLL15pk03vVOSbrzQMfLKO5qnLKKZLN71Vkl96pIY6STk1Vkk5pHlqs8lNIBXfg1WeTmiSTrVd5OaoYM9QM/PWh3qJmp2AHb3qFmpWb3qJm96YxGaoWNOLVGxp2AaxphNDGoyaAAmoyeaUmmZqgIgacDUQNOosBMDTw1Qg08GiwE4apA1VlapA1ICwGqRWqsrVIGpAWleplc1TV6kV6VgLqOe9TLIM1REnvUiyUrCNBJPepll96zlkqZJPekBpJLVhJeMZrLWSpVl96ANITe9eb6ud2qTkd2ruvN964LUSTqE3+9V09wKtFFFbAFFFOUZoGlcbS8Cl6HOKTOTmkCQuAFyTz6UmKcwG5RQRzigdizbW5uJNxGfYDFdXptikUfmSjgdvWsvSLdWZOK3bu4WNNmcKv615uJqyk+RHr4bDqMeZmNrt6RCUB+9XMg1e1Kf7RcdeBxVRY2d9ijJrsoQUIWPPxE3Opobe8eII4vMB+3QhUebHEsYGAW/wBsDAz3AHcc9PYWsdlbBY1wVGAff1rK0e1FtAFHLNya2DJsUKOwrz8ZWcpcq2O3DUVCN3uUtUk22j/Q1wZ6mut1m4H2d/pXJV14KNoHLjJXkgq3/Z8h0s3+4eWJvKI75xnNVK6pLcjwg8RHLDzvxB/wroqT5beZz04c9zlaKKK0MwopQMmnzQyW8rRSqVdeoPagBgq/o1y9pqkEydVfJ+ncflWeKntm23CHoc1M9YtFQdpJnrBAuLRlznbyp9q47XNOWVdyDD9j61vaVes1shY8qMU2+jVgQOfevApSdGpoe7KCqQszzh42RyrDBFNra1O05LY+YVkLGWJHpXuwqKSueNVouErG/ol9sXy25Fb6XRXvXGQs0JBxWgl44UBWrirYdSlc9KhWlGNjV1O6WWIp61zV3btCoZsfMMj6VoNN8hd/mPYZrIlkMkh9K1w9PkVkRip8yu92OgnkgB2EfMMGkuYggQhgSRk01/lSoixPWupLW5wylaPKxDzSU9Rk0mMGmZWe4pGMV794BlVPCVqq9hzXgBNe0/D+Up4XjLf3qyq7Clbody09RNPVBrqoWua5jMuyXHNV3uKpyXPUZqs9xTCxckn96qST8daqyXHvVSS44p2HYtST+9VJJsk81BJcVVefJNUkMnklNVXlJqOSUZ61XeUetOwyV5PeoHlqN5eetQPJzTAkd+vNQO/PWmtJ1qFnOaaQD2bnrULN70jPzUbNTGKzdeaiZvehm61EzU7AKWx3qNm96Gaoy1MBSaYx5pC9NzTAQ0maCaYTQBDmnA1HnFOBqhEgNPBqIGlzQMnBpQahBNPDVLQEwf1qQMMVXBpwbFAFoNT1eqwanBqQFsOKkV6phqkD0gLitUqvVISGnrIfWlYC+JBUqyDHWqCycVIslIVi95g9a4u/Ob2U/wC1XU+Ya5S7ObuU/wC1V09wIaKKK1AKUHBpUALUSLsbFIpJ2uOZTsyOhqMVLE/O09DRNH5bcdKL62KcbrmRHuOc05TlqaQaBQSmzas76S3Tj+VFzqBkU5PNZkc5Xikkk39qx9iua7O14l8lkRs245rQ0+EEg4ye9Z6jJxWtppAOD1qqrtF2MqEead2dHbfKoNE8uxSaSE/uqp6gxKYBxXkKPNM9KTstDG1S4Lttzwayqs3bbpMZzimmJVtRIVYEnAPY46/0r2Ka5YpHkVG5SY23iaeZYl6scV3DRr9j8r+HZs/DFczoEQe8Ln+EcV087AJtrjxc/fUV0OvCw9xtnBOpVyp6g4ptWL5dt5KP9omoVRnBIBOK709LnDJe9YFwW5JA9QK6DX7QtY2F7g7nt0WQ+pAxmufA5r0u+0wTeELJmXOUCfiAP8awr1fZuLN6NPmTR5mKch2yKfQ0+SFopWRuoNRlSK33Rhaz1Oy0a4Bi2561sMQyEE8gce9cZpdy6EAZwOtdLFcb4855rxsTScZ3PZoTvAqX8alScVzUgCyHHFdDduWzmsC4UFiF7ck114b4bGVcgdssACeKmiLDmkij+TJGc/nT1Qg4rpbVjGCd7skkDtCzAHaByaqW8e9+cfjU8j+Y3lsxCDrgZp0Vu8dv5xRghON2OCaS92JTjzz9CC/dWuGKKFBOQB0FVKkm5k4NNKkVrHRHFUu5NoWNsNVua3PlggcmoLaIyPkjgcmrBuDI7JkDsKmW+htSS5bS6lJ12HB61654PuCnh2FSRjPGK8jkBDkHrXpfhmUJocAB96mrscs92dU9z71E1z71mvcdqia4rLlRBfe55PNQNc1Qe45NQPP707DLzT+9V3m4PNVGn96hebPeiwFlp/eoWm461WaU1E8hqrDLDycVA7j1qJpDUTSGgCZpOKhaSo2kqJnzTGSs4z1qJnGetMZqjLGnYB7PzUbP9aaWOetRsxoAeWyTzTC1MJOaYTTAczUwtTSaQmmApNITTSaaTRYBSaZuoJ5ppPtTAjp1R0tUIkFKKjBpQ1AEgNODVFmnZpATBqduqHdTgaQyYNTg3FQBqcHpAThqkDVWB5p4bFJoCyJMU9XBqqGpwagC4G4p6uaph/epFf3pAW959a5y5/4+ZPrW15nvWJOczP8AWqgAwjFJS5oAya0AF+9U8qlkBxzUQ+Vqes5B9almkGkrMdBGN3IqS5QsAR0oZxs3UyOc7sNyDU63ubvkjHl7jWjPlZqPcuwKBz61o7BIhHrWay7GIPWnGVzOtDks0JRk96SlyTgVZzj0OGBrWtkGQw4rIGVbBrSs5tvDdDWNVaHZh2kbaXBRMMMehFUL67yCBTyxdcKwH1qhdMfulgcVy06a5rnVOTsUlRpptq8kmpryRQPJQDaOM45qayjxvk6+lVJVy5rs5tTjcLRv3NnQsKpJ7nNatxJk8Vz2nzmIgHOK0XugynrXDWg3O52UtIWMTU1/0tiO9R20nlvjseDUt6xklzVZUJOK7o/AkcErqd0XjbKl/Eo5VmruGvJW0xLdpiYUJKp2U1xSODNCw7GuhjuBs+auHFJux3UUk2zF1i3CXRdf4ucVUMBuOU646VrX7CUY2nA7msqGQrIMetb0pNw9CJwXNr1GxRvbvh0IB71sWlztUKTTGuEKDKA5GOarG7iUZKgfhUTvUWqN4QjS6mlNIsi471nTwxhWwRu9O1V5b/JIBalRiwyTTjBwQ/aQnomW4TDbw+a67/8AYOR+ZrPeQurPkhSce1LfO4RYx0A596ogs5AzW8IaXZyV61nyLoaVqj3KiKKJc5696vXQSJY7VZDIQctzxn2rHgSRcbWxUskoijJ/iPANTKN5HRTrKNN3WpVuSv2l9vTccVIjoqjcBVdPmcZqeSOPd98fhWrOCDbvJFmJkwduORUC27iXd+NPVVhj3A5p4JkAYNwazvZ6HXZSSUtyg5y7H3rudAuH/sqMMAoH3feuJlVQ52kGut0lyumxBsZHpVT+E86S1ZttP71E0/vVRpfeoWm96zJsW2nqFpveqzS+9RNL700gLLS+9RmX3quZPeozJz1p2AsmX3phl96rmT3phk96LDJmk96jMmaiL570wv6U7ASlzUZc1GXNMLetOwEpemFzUZcU0vQA4tz1ppamFsmmlqYDiTmkJphakJp2AUk00mmk03NMB5Y03NITSZoAWmk0hPNJTAbRRRTELRSUUAOp2ajzS5pAPzTgajFLmlYCTNOBqPNG6gCXcacGPrUOaXNAE26nhqgzSh6VhlgPSh6gD0u+k0K5Y3cVmSf6xvrVzfVN/vH61UUA2lBINJRVBcUnJpKKKAHlsqBTenNAFSSwvAyiQYLKGH0PSkNsclyyDAqJmLMSe9JRRaw3NyVmJSrwc+lAxzmkpkokd97A9MVLHIRiqwNTRyL0YcUmtDWnK0rls3JC9ah3l25/WpBHHIvyOPoTUMmYxgAYrJRXQ6Zya32JTIQuFPFR8seag3tT0lIPWq5TNVkyxGShBqZrnjFV1kVjgjH0qTYp6ODUNdzZO/wkbnc2acuFQ+uKGAUZJ4qF5s8DpVJMiUlHUlQnrWpDfbY8MDmsiOQcEHmpHuTjaSPrUTp825UKqir3LV3eF+OQP1qpEd0q9Bx2qFpN7dKdBIUbkj5R1PatFBRjZGXtr1LvY2ZbY+WuWIXHGOazHgbdgNjPrU39ptgAlWAOeRyaryXskhHGFA4GO1RCMludFatSkhv2dmXfkYJx1rTsrYIQZUOPT1rIV3znvVpLmaCT93JvIxyuf605ptGdCdOLuy9d2nn48pQoA5JbJY1TGmXCt8qEn0rRg1i4ijUmIuqKDlSOM/nT5NcmMZVyyq3zY29cisb1Y6WO7/ZavvN2ZQSER7xMpD9jnAFZk7bpCa0NTvoZmK2xlKkDLSgBicc9O2azQGbO1SccmuimmtWediakW+WOwzpTlyzUlPjk2t0Bq3sc0bX1L7Iotfn4qqk+0BQARVlJ1mO1x+FVHUJKxH3QeKziujOyrLaURJAAc+tdFp83+gx89q5qR97Z7Vs2U3+ioPQU57HJN3ehptNjvUZmz3qs0me9RmTHepsSWWl96j833quZM96b5gp2AsmX3pjSe9QFzTC/rQBY8z3phk96g30m+gCUvTd5Heoi1N3UwJTIabvJqItSBqLAPLDHWk3Uwt7U0tTsA8tTSabmkpiuLmjPvTc0maAFzSUm6kzTAXNJmkpKAFoopKACiiimAUUUUAFFFFAC0UlFADs0ZptFIB+aXdUeaWgCQGlzUYNG6lYCUNShqiDUoaiwEu6qxPzGpc1FTQBWhpmjX+rsy2Ns82wZYjAArPqSKaSCRXidkZTkFTgiiV7e7uNeZcbRtSQ4bT7oH/ri1XX8K6lHBFI8RRpBnY3BH1q//wALD15liUyQfIME+UMt9TXo+k6ppviW1D28imaNR5kbDDKcfqPevMxeLxGHipuKsXGCnomcRp3haJNNRr+NGkVy6qnGc4+8e446CsnWLTzpGLD952I4/CvWLyxVYcKAMe1cDrdsEdsVxYXHzq1LyZhiKcqdmcCylSQRgikHFa1zDHJw3DdjWb5LGXy4wXYnACjJNe9GakrhCop7ERoqUwSYJ8t8DqdvSkjheVwiKzMeiqMk/hVXRZHRWq/hvVkn8k2Uu7AOccAfXpWzYaRHpkcjXEEVzO6FULk7Yjx8wHc9evFZyr04rcmUlFXZydBye9ac+mbXOHP4iqE8JhkK5yOxqozjLYUasZbEVJRS1ZY5ZGToaf557qppgOD0zTSOaRSbQ95A+PlAPfB60zPAGB9aTpRQJsdjBxn8aUMcbevPpTsnbjA9eBQMDJ5BApiGE9hTgPkPA+uaQANn161KF+ToMUhpN7DNqqzBlYHHAPb61KPm2DGPlA+XqRTxExVXwWB7t3oCBWBfIHt1pXRp7NjVQEZB2jHHHWpdgIyMck4BXn65/wA96ahKMpBIPJyD7VJyYwqgkcKMr/EeuPyqTVJdSN8AHcd4GR8ox+JPeq5cqRg5yOcjNPllJAAGzI7cZFa+nXPh+xs/Nu7ae/uyeIyfLiX6kcmm3ZXSMJztsZFvZz3cmy3ieRuuFGa2BpbWUQVx+8Iyw9D6VpR+OxbQLFZaRa24DHcE6EcfjnrzmtUXVhrVuJIHXzXUs0X8S845rjrVq0dXG0Tkqe0ey0ONmskc9NprOmh8l9uc8Zrob2ExMVx0rBuiDNx6V0UZuSCjKTdmRxNiQZqe4ZRgetVRwwNOkbc2a1trc7Y1LQaG1ft5CIQKoVYibCUS2My55p9qQye9V93vSF/SpsK5P5nvSb/eoN1G6nYCUvzSF6h3UbqAJd/vTd9R7qTNOwDy3vSFvemZpCaLAP3Um6mZpCaLASZprGm5pCaYDs0ZpmaM0WAdmkpKKYBRRRQA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Wug2A07y3Kbu1JTy+Itg7mk7lJLqRUUUUyQooooAUVv6NfOukXdiwzHkSqfQ9D/SufFdYsVnbeHrVrdT5sy75nbqT6ewFY12uWzIqO0TmLhCkhzUVSTOZJSTUdarYqOxIE+TORTKXPGKSmU7CUUUvagQlFFFAwooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//Z\" />What is this object and do you think it is horrifying?", "The object in the image is a can of Monster energy drink. It is a green can with a red and black logo. As for whether it is horrifying or not, it is subjective and depends on personal preferences. Some people might find the design of the can or the brand itself scary or intimidating, while others might not."]]

gradio_cached_examples/34/ChatIDEFICS/tmphq4i7krg.json

@@ -1 +0,0 @@
-[["<img 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\" />Who is the person in the image and what is he doing?", "The person in the image is Captain America, a fictional superhero from Marvel Comics. He is riding a white horse with wings, which is Pegasus, a mythical creature from Greek mythology. The image depicts Captain America as a heroic figure, flying through the sky on his winged horse."]]

gradio_cached_examples/34/ChatIDEFICS/tmpmwyumk0b.json

@@ -1 +0,0 @@
-[["<img 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\" />What I should look most forward to when I visit this place?", "When you visit this place, you should look forward to experiencing the unique and picturesque treehouse. It is a large treehouse built on a tree with a staircase leading up to it. The treehouse is surrounded by a beautiful forest, and there is a small pond nearby. The combination of the treehouse, the forest, and the pond creates a serene and peaceful atmosphere, making it an ideal place for relaxation and rejuvenation."]]

gradio_cached_examples/34/ChatIDEFICS/tmpnr71filb.json

@@ -1 +0,0 @@
-[["<img 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\" />Which celebrity does this claymation figure look like?", "The claymation figure looks like Kanye West."]]

gradio_cached_examples/34/ChatIDEFICS/tmpnz3lcr85.json

@@ -1 +0,0 @@
-[["<img 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\" />What is the rabbit doing in this image? Do you think this image is real?", "The rabbit in the image is holding a gun and appears to be in a military uniform. It seems to be a part of a fictional or fantasy scene, as it is not common for rabbits to be dressed in military uniforms or hold guns. The image is likely a digital artwork or a part of a story or movie."]]

gradio_cached_examples/34/ChatIDEFICS/tmpt7c18b40.json

@@ -1 +0,0 @@
-[["<img 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\" />Can you tell me a very short story based on this image?", "Once upon a time, there was a chicken who dreamed of becoming rich and famous. One day, she found a pile of money and decided to stand on top of it, hoping to attract attention and achieve her dreams. However, as she stood there, she realized that money couldn't buy happiness and that true fulfillment came from being content with who she was and what she had. From that day on, the chicken lived a simple but happy life, surrounded by her friends and family."]]

gradio_cached_examples/34/ChatIDEFICS/tmput3ibk3l.json

@@ -1 +0,0 @@
-[["<img 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\" />What is this animal and why is it unusual?", "The animal in the image is a blue shiba inu dog. It is unusual because it is not a natural color for a shiba inu. Shiba inus are typically red, black, or tan, and this one is blue, which is not a common color for this breed. The blue color could be due to a dye or a special effect added to the image."]]

gradio_cached_examples/34/ChatIDEFICS/tmpyqytz8ny.json

@@ -1 +0,0 @@
-[["<img 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\" />Is there a celebrity look-alike in this image? What is happening to the person?", "Yes, there is a celebrity look-alike in this image. The person is being digitally manipulated to look like Ryan Reynolds. The image shows a man with a beard and a black jacket, and his face is being altered to resemble the actor."]]

gradio_cached_examples/34/ChatIDEFICS/tmpzdibmqq2.json

@@ -1 +0,0 @@
-[["<img 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\" />What can you tell me about the cap in this image?", "The cap in the image is a red and gold Iron Man baseball cap. It is a Marvel-themed hat featuring the iconic Iron Man logo on the front. The cap is displayed on a mannequin head, which is placed on a shelf. The mannequin head is wearing the cap, showcasing its design and style."]]

gradio_cached_examples/34/log.csv

@@ -1,19 +0,0 @@
-component 0,Image input,ChatIDEFICS,flag,username,timestamp
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmp4_xvgdv7.json,,,2023-08-04 21:10:11.087735
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmp2sbfcabv.json,,,2023-08-04 21:10:29.037890
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmput3ibk3l.json,,,2023-08-04 21:10:45.739179
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpgi_8kn79.json,,,2023-08-04 21:11:01.251540
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpt7c18b40.json,,,2023-08-04 21:11:22.952941
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmp30eh0pf7.json,,,2023-08-04 21:11:51.019932
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpnr71filb.json,,,2023-08-04 21:11:54.825130
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpb02m3m37.json,,,2023-08-04 21:13:23.521040
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpyqytz8ny.json,,,2023-08-04 21:13:35.948435
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpp566c3ky.json,,,2023-08-04 21:13:53.216483
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpzdibmqq2.json,,,2023-08-04 21:14:08.362528
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmp3hmmr52d.json,,,2023-08-04 21:14:52.982749
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpnz3lcr85.json,,,2023-08-04 21:15:07.732072
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpvjfscx5i.json,,,2023-08-04 21:15:28.423724
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpmwyumk0b.json,,,2023-08-04 21:15:48.462005
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmphq4i7krg.json,,,2023-08-04 21:16:02.614619
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmp5_d_3s3n.json,,,2023-08-04 21:16:17.004187
-,,/admin/home/victor/code/m4/m4/visualization/gradio_cached_examples/34/ChatIDEFICS/tmpxocribjw.json,,,2023-08-04 21:16:33.488232

requirements.txt

@@ -14,4 +14,5 @@ parameterized
 einops
 pynvml
 sentencepiece
-#gradio>=3.38.0
+gradio>=3.38.0
+text_generation