From 2d45cf822d8f1ed47aaa610928ee12ff27b489b1 Mon Sep 17 00:00:00 2001 From: wzw Date: Sun, 17 Dec 2023 16:28:27 +0800 Subject: [PATCH 1/9] init --- chat.py | 97 +++++++++++++++++++++++++++++++++++++ utils/audio2text.py | 22 +++++++++ utils/audio_improve.py | 24 +++++++++ utils/extracte_img.py | 0 utils/get_gpt4v_response.py | 0 utils/text2audio.py | 0 utils/trun.py | 39 +++++++++++++++ 7 files changed, 182 insertions(+) create mode 100644 chat.py create mode 100644 utils/audio2text.py create mode 100644 utils/audio_improve.py create mode 100644 utils/extracte_img.py create mode 100644 utils/get_gpt4v_response.py create mode 100644 utils/text2audio.py create mode 100644 utils/trun.py diff --git a/chat.py b/chat.py new file mode 100644 index 0000000..245a373 --- /dev/null +++ b/chat.py @@ -0,0 +1,97 @@ +import streamlit as st +import random +import time +from openai import OpenAI +import uuid +from pathlib import Path +from aiortc.contrib.media import MediaRecorder +from streamlit_webrtc import WebRtcMode, webrtc_streamer +from utils.audio2text import audio2text +from utils.audio_improve import process_audio + +st.title("Gemini-like对话测试") +RECORD_DIR = Path("./records") +RECORD_DIR.mkdir(exist_ok=True) +img={'assistant':'bot.png','user':None} + +def app(): + """ + 该方法位录制视频和声音,单独提取声音 + """ + if "prefix" not in st.session_state: + st.session_state["prefix"] = str(uuid.uuid4()) + prefix = st.session_state["prefix"] + in_file_video = RECORD_DIR / f"{prefix}_input_video.mp4" + in_file_audio = RECORD_DIR / f"{prefix}_input_audio.mp3" + + def in_recorder_factory_video() -> MediaRecorder: + video_file = MediaRecorder(str(in_file_video), format="mp4") + return video_file + def in_recorder_factory_audio() -> MediaRecorder: + audio_file = MediaRecorder(str(in_file_audio), format="mp3") + return audio_file + webrtc_streamer( + key="record", + mode=WebRtcMode.SENDRECV, + media_stream_constraints={ + "video": True, + "audio": True, + }, + audio_frame_callback=process_audio, + in_recorder_factory=in_recorder_factory_video, + out_recorder_factory=in_recorder_factory_audio, + async_processing=True + ) + return in_file_video,in_file_audio +r_video_file, r_audio_file = app() + +if r_audio_file.exists(): + with st.status('处理录入的视频中...',state='running',expanded=True) as status: + st.write('抽取关键帧...') + time.sleep(5) + st.info(f'缓存好的音频:{r_audio_file}') + st.write('音频转文本...') + st.audio(str(r_audio_file)) + input_text_from_audio = audio2text(str(r_audio_file)) + st.info('audio2text:') + st.text(input_text_from_audio) + status.update(label="录入视频文件处理完成", state="complete", expanded=False) + +client = OpenAI(api_key="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") +# Set a default model +if "openai_model" not in st.session_state: + st.session_state["openai_model"] = "gpt-3.5-turbo" + + +# Initialize chat history +if "messages" not in st.session_state: + st.session_state.messages = [] + +# Display chat messages from history on app rerun +for message in st.session_state.messages: + with st.chat_message(message["role"],avatar=img[message['role']]): + st.markdown(message["content"]) + +# Accept user input +if prompt := st.chat_input("What is up?"): + # Display user message in chat message container + with st.chat_message("user"): + st.markdown(prompt) + + # Add user message to chat history + st.session_state.messages.append({"role": "user", "content": prompt}) + + # Display assistant response in chat message container + with st.chat_message("assistant",avatar='bot.png'): + res = client.chat.completions.create( + model=st.session_state["openai_model"], + messages=[{"role": m["role"], "content": m["content"]} for m in st.session_state.messages], + stream=True + ) + message_placeholder = st.empty() + full_response = "" + for response in res: + full_response += (response.choices[0].delta.content or "") + message_placeholder.markdown(full_response + "▌") + message_placeholder.markdown(full_response) + st.session_state.messages.append({"role": "assistant", "content": full_response}) \ No newline at end of file diff --git a/utils/audio2text.py b/utils/audio2text.py new file mode 100644 index 0000000..9aa7784 --- /dev/null +++ b/utils/audio2text.py @@ -0,0 +1,22 @@ +import base64 +import json +import requests + +def audio2text(fin): + f = open(fin,'rb') + audio_b64 = base64.b64encode(f.read()).decode() + input_data = json.dumps({ + "audio_b64": audio_b64, + 'input_f': '', + 'input_ar': '', + 'input_ac': '', + 'input_acodec': '', + }) + resp = requests.post( + 'http://192.168.80.29:8789/asr', + data=input_data, + headers={"Content-Type": "application/json"} + ) + resp_data = resp.json() + prompt_text = resp_data["text"] + return prompt_text \ No newline at end of file diff --git a/utils/audio_improve.py b/utils/audio_improve.py new file mode 100644 index 0000000..2f8ff43 --- /dev/null +++ b/utils/audio_improve.py @@ -0,0 +1,24 @@ +import av +import numpy as np +import pydub + +def process_audio(frame: av.AudioFrame) -> av.AudioFrame: + raw_samples = frame.to_ndarray() + sound = pydub.AudioSegment( + data=raw_samples.tobytes(), + sample_width=frame.format.bytes, + frame_rate=frame.sample_rate, + channels=len(frame.layout.channels), + ) + + sound = sound.apply_gain(1.0) + + # Ref: https://github.com/jiaaro/pydub/blob/master/API.markdown#audiosegmentget_array_of_samples # noqa + channel_sounds = sound.split_to_mono() + channel_samples = [s.get_array_of_samples() for s in channel_sounds] + new_samples: np.ndarray = np.array(channel_samples).T + new_samples = new_samples.reshape(raw_samples.shape) + + new_frame = av.AudioFrame.from_ndarray(new_samples, layout=frame.layout.name) + new_frame.sample_rate = frame.sample_rate + return new_frame \ No newline at end of file diff --git a/utils/extracte_img.py b/utils/extracte_img.py new file mode 100644 index 0000000..e69de29 diff --git a/utils/get_gpt4v_response.py b/utils/get_gpt4v_response.py new file mode 100644 index 0000000..e69de29 diff --git a/utils/text2audio.py b/utils/text2audio.py new file mode 100644 index 0000000..e69de29 diff --git a/utils/trun.py b/utils/trun.py new file mode 100644 index 0000000..29209d9 --- /dev/null +++ b/utils/trun.py @@ -0,0 +1,39 @@ +import logging +import os + +import streamlit as st +from twilio.base.exceptions import TwilioRestException +from twilio.rest import Client + +logger = logging.getLogger(__name__) + + +def get_ice_servers(): + """Use Twilio's TURN server because Streamlit Community Cloud has changed + its infrastructure and WebRTC connection cannot be established without TURN server now. # noqa: E501 + We considered Open Relay Project (https://www.metered.ca/tools/openrelay/) too, + but it is not stable and hardly works as some people reported like https://github.com/aiortc/aiortc/issues/832#issuecomment-1482420656 # noqa: E501 + See https://github.com/whitphx/streamlit-webrtc/issues/1213 + """ + + # Ref: https://www.twilio.com/docs/stun-turn/api + try: + account_sid = os.environ["TWILIO_ACCOUNT_SID"] + auth_token = os.environ["TWILIO_AUTH_TOKEN"] + except KeyError: + logger.warning( + "Twilio credentials are not set. Fallback to a free STUN server from Google." # noqa: E501 + ) + return [{"urls": ["stun:stun.l.google.com:19302"]}] + + client = Client(account_sid, auth_token) + + try: + token = client.tokens.create() + except TwilioRestException as e: + st.warning( + f"Error occurred while accessing Twilio API. Fallback to a free STUN server from Google. ({e})" # noqa: E501 + ) + return [{"urls": ["stun:stun.l.google.com:19302"]}] + + return token.ice_servers \ No newline at end of file From 3fb6e042c4cd44119b0595ab4d7df57fab35fb92 Mon Sep 17 00:00:00 2001 From: wuziwei Date: Mon, 18 Dec 2023 04:34:18 +0800 Subject: [PATCH 2/9] up --- chat.py | 84 +++++++++++++++++++++++------------- source/1702803312680.png | Bin 0 -> 27718 bytes source/1702803339961.png | Bin 0 -> 30276 bytes source/1702803359034.png | Bin 0 -> 66620 bytes source/test.m4a | Bin 0 -> 102198 bytes utils/audio2text.py | 7 ++- utils/extracte_img.py | 15 +++++++ utils/get_gpt4v_response.py | 19 ++++++++ utils/text2audio.py | 15 +++++++ 9 files changed, 108 insertions(+), 32 deletions(-) create mode 100644 source/1702803312680.png create mode 100644 source/1702803339961.png create mode 100644 source/1702803359034.png create mode 100644 source/test.m4a diff --git a/chat.py b/chat.py index 245a373..dd432bb 100644 --- a/chat.py +++ b/chat.py @@ -8,11 +8,15 @@ from streamlit_webrtc import WebRtcMode, webrtc_streamer from utils.audio2text import audio2text from utils.audio_improve import process_audio +from utils.extracte_img import get_main_img +from utils.get_gpt4v_response import gpt4v +from utils.text2audio import text2audio st.title("Gemini-like对话测试") RECORD_DIR = Path("./records") RECORD_DIR.mkdir(exist_ok=True) -img={'assistant':'bot.png','user':None} +# img={'assistant':'bot.png','user':None} +img={'assistant':None,'user':None} def app(): """ @@ -43,26 +47,32 @@ def in_recorder_factory_audio() -> MediaRecorder: async_processing=True ) return in_file_video,in_file_audio -r_video_file, r_audio_file = app() +r_video_file, r_audio_file = 'None',Path('./source/test.m4a') -if r_audio_file.exists(): - with st.status('处理录入的视频中...',state='running',expanded=True) as status: - st.write('抽取关键帧...') - time.sleep(5) - st.info(f'缓存好的音频:{r_audio_file}') - st.write('音频转文本...') - st.audio(str(r_audio_file)) - input_text_from_audio = audio2text(str(r_audio_file)) - st.info('audio2text:') - st.text(input_text_from_audio) - status.update(label="录入视频文件处理完成", state="complete", expanded=False) +@st.cache_data(show_spinner=False) +def preocess_video(v_file,a_file): + if a_file.exists(): + with st.status('处理录入的视频中...',state='running',expanded=True) as status: + st.write('抽取关键帧...') + imgs = get_main_img(v_file) + cls = st.columns(len(imgs)) + for idx,cl in enumerate(cls): + cl.image(imgs[idx]) + st.write('音频转文本...') + st.info(f'缓存好的音频:{a_file}') + st.audio(str(a_file)) + input_text_from_audio = audio2text(str(a_file)) + st.info('audio2text:') + st.text(input_text_from_audio) + status.update(label="录入视频文件处理完成", state="complete", expanded=False) + return imgs,input_text_from_audio -client = OpenAI(api_key="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") +# client = OpenAI(api_key="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") # Set a default model -if "openai_model" not in st.session_state: - st.session_state["openai_model"] = "gpt-3.5-turbo" +# if "openai_model" not in st.session_state: +# st.session_state["openai_model"] = "gpt-3.5-turbo" - +imgs,input_text_from_audio = preocess_video(r_video_file,r_audio_file) # Initialize chat history if "messages" not in st.session_state: st.session_state.messages = [] @@ -71,9 +81,15 @@ def in_recorder_factory_audio() -> MediaRecorder: for message in st.session_state.messages: with st.chat_message(message["role"],avatar=img[message['role']]): st.markdown(message["content"]) + if message['img'] is not None: + st.image(message['img']) + if message['audio'] is not None: + st.audio(message['audio']) # Accept user input -if prompt := st.chat_input("What is up?"): +# if prompt := st.chat_input("What is up?"): +prompt = input_text_from_audio +if prompt: # Display user message in chat message container with st.chat_message("user"): st.markdown(prompt) @@ -82,16 +98,22 @@ def in_recorder_factory_audio() -> MediaRecorder: st.session_state.messages.append({"role": "user", "content": prompt}) # Display assistant response in chat message container - with st.chat_message("assistant",avatar='bot.png'): - res = client.chat.completions.create( - model=st.session_state["openai_model"], - messages=[{"role": m["role"], "content": m["content"]} for m in st.session_state.messages], - stream=True - ) - message_placeholder = st.empty() - full_response = "" - for response in res: - full_response += (response.choices[0].delta.content or "") - message_placeholder.markdown(full_response + "▌") - message_placeholder.markdown(full_response) - st.session_state.messages.append({"role": "assistant", "content": full_response}) \ No newline at end of file + # with st.chat_message("assistant",avatar='bot.png'): + with st.chat_message("assistant"): + # res = client.chat.completions.create( + # model=st.session_state["openai_model"], + # messages=[{"role": m["role"], "content": m["content"]} for m in st.session_state.messages], + 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zlqaaJj{&R*U})XTzu*kO4?sFC089Yz0Kf$RRQ~`#>wwn)SOjQ*Cn(=f;|CoRXggp3 z0zemFs2=eFfa;GPpuYeZs(+x}r#_&1SOH)i0AQ^DE$dUc2q10fulz#*19Cyf<7o_m zd;6aH!~`%@_n!a&&SZe0<&FS=$^tDf2mm(#P&uHwI|l$d=764`$sqHHu z4vfW98dNvHoOy~v^$O@44Al()PxI=pIrgM`=-5GNsJ!z3st1yAbu)GRYvKbu!UFS} z3XoTv83Zyh1c5#PbEtq71nTz%fwm_>phrUx^gcx};M);;{sjEAU+3U%=4K4E!EJB; zgrUum|9xQq7894h`uKkc(b~?{4WQVyf#nRqfZ{>uS_-U^4yKO4dSIz;ZEp@F0b>b5 P1L2ynq6Ceyt%LtR^6cb^ literal 0 HcmV?d00001 diff --git a/utils/audio2text.py b/utils/audio2text.py index 9aa7784..b5c1396 100644 --- a/utils/audio2text.py +++ b/utils/audio2text.py @@ -19,4 +19,9 @@ def audio2text(fin): ) resp_data = resp.json() prompt_text = resp_data["text"] - return prompt_text \ No newline at end of file + return prompt_text + +def audio2text_test(fin): + import time + time.sleep(2) + return 'audio2text 测试结果' \ No newline at end of file diff --git a/utils/extracte_img.py b/utils/extracte_img.py index e69de29..d8d7dd8 100644 --- a/utils/extracte_img.py +++ b/utils/extracte_img.py @@ -0,0 +1,15 @@ +import base64 +import json +import requests + +def get_main_img(video_file): + import time + time.sleep(5) + # resp = requests.post( + # 'http://192.168.80.29:8789/asr', + # data=input_data, + # headers={"Content-Type": "application/json"} + # ) + # resp_data = resp.json() + # prompt_text = resp_data["text"] + return ['./source/1702803312680.png','./source/1702803339961.png','./source/1702803359034.png'] \ No newline at end of file diff --git a/utils/get_gpt4v_response.py b/utils/get_gpt4v_response.py index e69de29..6fb4959 100644 --- a/utils/get_gpt4v_response.py +++ b/utils/get_gpt4v_response.py @@ -0,0 +1,19 @@ +import base64 +import json +import requests + +def gpt4v(query,imgs=None): + import time + time.sleep(2) + # resp = requests.post( + # 'http://192.168.80.29:8789/asr', + # data=input_data, + # headers={"Content-Type": "application/json"} + # ) + # resp_data = resp.json() + # prompt_text = resp_data["text"] + send = { + 'text':'这是一个测试!', + 'imgs':'./source/1702803359034.png' + } + return send \ No newline at end of file diff --git a/utils/text2audio.py b/utils/text2audio.py index e69de29..5a12429 100644 --- a/utils/text2audio.py +++ b/utils/text2audio.py @@ -0,0 +1,15 @@ +import base64 +import json +import requests + +def text2audio(text,): + import time + time.sleep(2) + # resp = requests.post( + # 'http://192.168.80.29:8789/asr', + # data=input_data, + # headers={"Content-Type": "application/json"} + # ) + # resp_data = resp.json() + # prompt_text = resp_data["text"] + return './source/test.m4a' \ No newline at end of file From 5b2e5ba9627c69fa333c55980e841ccf857b792e Mon Sep 17 00:00:00 2001 From: wzw Date: Wed, 20 Dec 2023 17:14:46 +0800 Subject: [PATCH 3/9] up gitignore --- .gitignore | 3 + README.md | 1 + chat.py | 107 +++++++++++---------------------- curl.sh | 1 + install_pyaudio.sh | 5 ++ pa_stable_v190600_20161030.tgz | Bin 0 -> 1450572 bytes pages/audio_t.py | 24 ++++++++ pages/record.py | 45 ++++++++++++++ real_gemini/tts.py | 2 +- source/bot.png | Bin 0 -> 872959 bytes utils/audio2text.py | 7 ++- utils/audio_improve.py | 24 -------- utils/extracte_img.py | 2 - utils/get_gpt4v_response.py | 49 +++++++++++---- utils/record_video.py | 83 +++++++++++++++++++++++++ utils/rv.py | 45 ++++++++++++++ utils/text2audio.py | 29 ++++++--- 17 files changed, 306 insertions(+), 121 deletions(-) create mode 100644 curl.sh create mode 100644 install_pyaudio.sh create mode 100644 pa_stable_v190600_20161030.tgz create mode 100644 pages/audio_t.py create mode 100644 pages/record.py create mode 100644 source/bot.png delete mode 100644 utils/audio_improve.py create mode 100644 utils/record_video.py create mode 100644 utils/rv.py diff --git a/.gitignore b/.gitignore index 68bc17f..6aa07a6 100644 --- a/.gitignore +++ b/.gitignore @@ -158,3 +158,6 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ +records/ +*.mp3 +*.mp4 \ No newline at end of file diff --git a/README.md b/README.md index 47ec8a1..b3a2b07 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,7 @@ sh run.sh python demo.py ``` + ## Acknowledgement - [Fastapi](https://github.com/tiangolo/fastapi) - [Streamlit](https://github.com/streamlit/streamlit) diff --git a/chat.py b/chat.py index dd432bb..c3b8c23 100644 --- a/chat.py +++ b/chat.py @@ -1,56 +1,31 @@ -import streamlit as st -import random -import time -from openai import OpenAI import uuid +import streamlit as st from pathlib import Path -from aiortc.contrib.media import MediaRecorder -from streamlit_webrtc import WebRtcMode, webrtc_streamer from utils.audio2text import audio2text -from utils.audio_improve import process_audio from utils.extracte_img import get_main_img from utils.get_gpt4v_response import gpt4v from utils.text2audio import text2audio +from utils.record_video import record_video st.title("Gemini-like对话测试") RECORD_DIR = Path("./records") RECORD_DIR.mkdir(exist_ok=True) -# img={'assistant':'bot.png','user':None} -img={'assistant':None,'user':None} - -def app(): - """ - 该方法位录制视频和声音,单独提取声音 - """ - if "prefix" not in st.session_state: - st.session_state["prefix"] = str(uuid.uuid4()) - prefix = st.session_state["prefix"] - in_file_video = RECORD_DIR / f"{prefix}_input_video.mp4" - in_file_audio = RECORD_DIR / f"{prefix}_input_audio.mp3" +# 这里可能需要修改,不然会往一个路径里面记录 +if "prefix" not in st.session_state: + st.session_state["prefix"] = str(uuid.uuid4()) +prefix = st.session_state["prefix"] +in_file_video = RECORD_DIR / f"{prefix}_input_video.mp4" +in_file_audio = RECORD_DIR / f"{prefix}_input_audio.mp3" +# 对话机器人的图标 +img={'assistant':'./source/bot.png','user':None} - def in_recorder_factory_video() -> MediaRecorder: - video_file = MediaRecorder(str(in_file_video), format="mp4") - return video_file - def in_recorder_factory_audio() -> MediaRecorder: - audio_file = MediaRecorder(str(in_file_audio), format="mp3") - return audio_file - webrtc_streamer( - key="record", - mode=WebRtcMode.SENDRECV, - media_stream_constraints={ - "video": True, - "audio": True, - }, - audio_frame_callback=process_audio, - in_recorder_factory=in_recorder_factory_video, - out_recorder_factory=in_recorder_factory_audio, - async_processing=True - ) - return in_file_video,in_file_audio -r_video_file, r_audio_file = 'None',Path('./source/test.m4a') +# 录制视频语音 +r_video_file, r_audio_file = record_video(in_file_video,in_file_audio) -@st.cache_data(show_spinner=False) +# @st.cache_data(show_spinner=False) def preocess_video(v_file,a_file): + imgs = None + input_text_from_audio=None if a_file.exists(): with st.status('处理录入的视频中...',state='running',expanded=True) as status: st.write('抽取关键帧...') @@ -67,25 +42,26 @@ def preocess_video(v_file,a_file): status.update(label="录入视频文件处理完成", state="complete", expanded=False) return imgs,input_text_from_audio -# client = OpenAI(api_key="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") -# Set a default model -# if "openai_model" not in st.session_state: -# st.session_state["openai_model"] = "gpt-3.5-turbo" - imgs,input_text_from_audio = preocess_video(r_video_file,r_audio_file) # Initialize chat history if "messages" not in st.session_state: st.session_state.messages = [] - + + # Display chat messages from history on app rerun for message in st.session_state.messages: with st.chat_message(message["role"],avatar=img[message['role']]): st.markdown(message["content"]) - if message['img'] is not None: - st.image(message['img']) - if message['audio'] is not None: - st.audio(message['audio']) - + try: + if message['audio'] is not None: + st.audio(message['audio'],sample_rate=24000) + except: + pass + try: + if message['img'] is not None: + st.image(message['img']) + except: + pass # Accept user input # if prompt := st.chat_input("What is up?"): prompt = input_text_from_audio @@ -93,27 +69,16 @@ def preocess_video(v_file,a_file): # Display user message in chat message container with st.chat_message("user"): st.markdown(prompt) - # Add user message to chat history st.session_state.messages.append({"role": "user", "content": prompt}) - # Display assistant response in chat message container - # with st.chat_message("assistant",avatar='bot.png'): - with st.chat_message("assistant"): - # res = client.chat.completions.create( - # model=st.session_state["openai_model"], - # messages=[{"role": m["role"], "content": m["content"]} for m in st.session_state.messages], - # stream=True - # ) - res = gpt4v(prompt,imgs) - # message_placeholder = st.empty() - # full_response = "" - # for response in res: - # full_response += res - # message_placeholder.markdown(full_response + "▌") - # message_placeholder.markdown(full_response) - sound = text2audio(res["text"]) + with st.chat_message("assistant",avatar='./source/bot.png'): + res = gpt4v(query=prompt,imgs=imgs) + sound,rate = text2audio(res["text"]) st.markdown(res['text']) - st.audio(sound) - st.image(res['imgs']) - st.session_state.messages.append({"role": "assistant", "content": res['text'],'imgs':res['imgs'],'audio':sound}) \ No newline at end of file + st.audio(sound,sample_rate=rate) + try: + st.image(res['imgs']) + except: + pass + st.session_state.messages.append({"role": "assistant", "content": res['text'],'audio':sound}) \ No newline at end of file diff --git a/curl.sh b/curl.sh new file mode 100644 index 0000000..fabf8b1 --- /dev/null +++ b/curl.sh @@ -0,0 +1 @@ + -d 'query=%E8%BF%99%E6%98%AF%E8%B0%81%EF%BC%9F&base64_images=iVBORw0KGgoAAAANSUhEUgAAALgAAAB%2BCAYAAACXgttuAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGvbSURBVHhe7Z0HuBTl4fUtdG7vvfd%2BaSLWmGY%2Bk%2FzVGBMTkxhj770LKBZAeu%2B9d6R3EEUEFOy9964IUs35znnfeXfn7t0LVyTRJMJznpm7O31%2Bc%2Ba8ZWaPwI%2F%2Ffvz3X%2FzvR8B%2F%2FPdf%2Fe9HwH%2F891%2F974CAv%2FHGG7j77rvxs5%2F9DIWFhWjWrNkhqXnz5mjRogVatmyJlq1aoEWr5hwG1aplXbVo2cyoWYumVHOrZlTTFmhOaWjkLb9ps6Zo2rxJQJqvBecx66Pculu1aI2IlhGIbBWJyNaRiKBatWpl5KZtzvXb9TblOLdd28L5A9uv5bTkPFyW1KIZ5zHbo22su99Nm4fZLi7P7XNrTxHcVg1b8XMdG79aRnCdVKvWdjtbt2pNRZih9kVDs13ecbUK7q%2B21W232w%2FzvVuuWTalzzivf7tac7v0tz4326LvW7dAa04fEdEKkZGtERURIn6mzyU3TUSUxOMebaXxCH6u5Uhat1lPCx4bv7x1O7XgZzqORzc9Ckc5NTkKRx99dB01OboJCvIKsXbt2vCAO7B1MASnU%2BgJbKz%2BZwFvFtymwHb9CPi%2FBfCmRzU1kNcDXNQHDgT1vQMeWHcjAed48%2Ba%2BdbbQiSYcLXlACcSBANf0zbyDKPc1y%2BFJ9i%2BrpbeshgBv2pTb4qlJUx7sZlJwu1pwWS25rFYtCQr39aCAe2olYI289XsXWUsHsDmugpT7QemzAwFuoJYaCXhgOzhdayqC80QKYF54fgnqegpATvA96XMHuJZn1uOHWwpZtx%2FwowV2EwIt%2BcBucjSPOyXApTqAjx8%2Fvu6BoHRynRxQ31YBQAInou6GG7C9oXbKD3hw3QLck8aN7PL9gLv1%2BdfpoIig8xkRbD%2FgfgCaEWxBGW5ZLQzgbnkCrFVYwANuopPAkyHA3bJacLtbmWUEATdwa995DEIBd8dCF4WV3Qazb25ojqsn7YcD3MBdH3CdgwMBLoVul18WcoEZVIQn87cHbljAOe7c%2FTsD7o6zJwt4XQUAl3O7g%2BBOqpNOzneRObGBE2EBl%2FwbHxB3yp3U5s5FpTDLbUawJQu4Hbr1Se7ESgI5IoJwS60t5BrWB7xZwHH9y%2FIfF407NW%2BmuwqPUVO7Tca5m%2FDgUsZd5OJNfYBTQTe2Tm5kALPSsTHRSOJJlVrSTa2C63by76fZD0ImsFv44Dafe9Obi0tQSx7gdt3eOaAc6E7%2B78IpdFpFGRdnWgvmSMoB74PbXVhS8GI%2BAOA8Nzqmfuc%2BkAKAu53XSbDwHD45KMyB9k6gX%2F6dqA%2B4JwLXnPBIDuxmxhklC2Po%2Bkz8UHb11JoZUXKgh8Iduv8a90vw%2B9fTkPwxxUmfaxnuOJhtC2yfB5lE4FrwGNTZd6pFQPW3y227X815d2lGwJv79s3JAW4A4%2FrMOgmj%2F1wEgPXGGzpHB5Kd3ge6T%2B5i9i%2B33vwh6xXgOtfGPMLAHIgsPhnAL7jggsDO64CFnrDvKncSGgLcyeyI7%2BDVOckEuTmdUMMg2I0EXC4l0UV0m3SQt3IFtBDA%2FVD6FVorYhSybjOdD2z%2FsowTcx%2Btg3E7KG2fK%2FA5HRhw%2Fu0KwdxWt6%2BhEuBGIYC3bE7YDgB4nXNBhQPcbJ%2FOj0%2FmnHH%2FjLy%2FHaByaRNr3DoFtr6j%2FOsMXda3B9xX%2BPRkAPcfAB2w0BN26NKJJZQ6Mebk2qvWv1N%2BmR3RTns76T%2BxjQVcccGcdEYHZWazT7y1B9Zhbp0EjFlcudxB4qRl6AA2bcJlclkGTn8E4brqAW6%2Br3%2FczHYIKm5HBC%2Bm6MhIxERHIzY6xgyjpZhoRMVEGUVEc5sIm4FOx0nHzFMrOncrb9wcGx0n3zlzUsb3%2Fx34XNK2EPADOXidc0H5AXeu7s5RKOBuW935c7A7mP3zm%2Bk0vca5bK2z3rK875z8gDch0E5NvaFz7aN8OkIFy9CDEXqiDl0%2BwLXRbkMbkPmeO1XnADnItZxGAW5PuABvLrl98lxP6xHwAtJkZzefN13AdQV4E%2BvGZsi%2FzecNAN7cB5aWJ5h0B4mKijIwx0RFIz42xighLhaJCQlISkpCckoyklISjeIT4xEdF12nlsFBI8DrVttZuBsDuIFb8gDXxRMAXOv4FwHuzrtT4HvfMDCtT4FpvfU6HRRwKRTw888%2Fv87BcCf8UFR3fkFnAWzeogk3uik3mBvt2%2BAG5Q4id0gHybg3l2fGfbLrcPLWG4CW%2B%2BOdbPO38rMnB7CDNjCvJ%2FO9Pqdru6FzcPM91%2Bekv816vHU56BR7YmIIdHwcYgl1THQUEuJjkZKShIz0VGRmZiAnJxtFxYXIL8hFZlY60tJTkJqWjOzsTKRyOtUpmyo5ia6rof7WMTKAezJVmbpLGdn1B%2BU%2B1zHVdlnAA4VagW3gljidgdfKnYdQOSjrKRRanSdFKRmL910AbN93zb15zHTevIH1%2BbjQfOKpCcENAM5Y4saPPlrRpSkhl2wh%2F4jv0kIZKv9FotKuBfxobvjR3GhB3qTOBh9MLouai8SD2q86YB9GBQAP8104ObAFtbJ9JKOInDs%2BPh4JCfGIiyPoCbFIz0hFYVEeSkuLUF1dgeqaKtRQ%2Bfm5yMhMQ1ZWBoqKClBUmI8CfibFxTLSML7ERkYgitFK9c8BMHWMqKD72e2oB7iBpoFjHOLcDrDDoTrnywe5gTrMdxp384bCbbY1ALi%2FHtxfXagqWr8IeLgTdqg63IBrJ7XT%2F27Av40c3Iojgtu6djwSExk7GEGSkjRMQBqdOTc3EympHE9PItQ5qK2tRseOHdC2bS0qyksJfrFRTXUlSkuKkJFGR6eTpyYnIYaAR3v1x6GxInhrt9vi1NKIx5FghAUmnDzADofCnbODyc373QBv5g2b%2FCsA17hu3xbuZs2P%2Bq8F3F3QzrlVaIyLi6Nr23ydmprKSJJsYkdqqv5O5HgSCgpzGE8ykZmRhmxGlcL8PJQR7MrKcqQzvsi5CwvykMcIk8O4kpmehgwtJzmRcScarb2CoYHcd6wMyJRAcONBedNR9aD2ywfod1W4c3YwuXkbB7insIBbyA8j4MGNDALJoQ%2Fu%2FwbA3R3KjSsCqLCmgqHgS0iIM%2B6dnCyoLeApqcksTCZymIiy8iJGFRYsk%2BKRTGdPIbSCPJvxJCcny6iivMzAnZ6aYr7L0XccZhH0ZE4fERmsWhSU7lg5mB3gGjpg%2FBGlHtR%2BBab%2F7gp3zg4mN29DgGuapk1ZsPQpCLiTl8U53mjAnVvVV3BH6oIouAW1NvjAG96gfkCA%2B%2FfZ1Z23atXSZOv4%2BBhCHWfcVzk7VUATRBtPkkxBM54FzDRGjsqKMuPWytaqTZGS%2BH0ilZ%2BbgzZtalBdVYG83GykMZ7IwZMTEwzg2RnppoAaIxdXnb6LK96xCro1j7WTd9ylYFZvWP7pGxSXG%2B58HA65dYTlxMdDU3WnCAFdhc8g4Lau%2FDADrrztgU0Fa02CB%2Bc%2FGXCTaw3YrUwUiSO0cXHRyMxMQXFJPt25GAUFuYTcOq3AVlyRUunGubm5qKlioZJDAR0KuJxacJcUFxqwc%2BnmiieKMnJvAZ6ZmW7uBqZHnqtK9I5VKODhAD6Y3Hk6oL5HwN261WdIXBjYA4CHRBcqDOAOnKAsxKFgOwV31uVtE0vqAK4Ns7LVVL6NPpC%2BV8Dd8q20nw5wtUCqIBnPOJKSkoD8gmxUVJYgNy8TGRkpBsLcvBxkZTE%2FZ2airKwMRUWFBLcYRYWFjB5pSFRWV504lRQby78puTzdP5fxpLiwACWcR1m8sDAfKbwbGNB5EegukRyoRuQFZ%2BCWbH15wMEdkFQ4mMPJP0%2BD%2Bl4AF0v6jtOYqsXgPKZbsufgxsV9agBwVwNi9d0B95XsDwVwxR1vHX7ZbQ3d%2FsOluuvVSdW2u9qSWEKp6r%2Bk5HhkZ6cT8hyTrUtKC1HLmFFVXYma2ho6eynate%2FA8TZ08Dw6cw5zdwriYxhtYgi4E5eXpZxNFdDhiwsKUVRQYOJMeXmpqTo0cDOiZBB0KYUZPjpSLbK2AUYNQaYxyJiJD0hP4YAOVeg8YfW9Aa7vbTowScGbR4xaF1cB1EYTpwMAfnRAdkHaqVC4Jd%2FOuhVTusoOF%2BANyW7rwRS6f42VXUfggHN7lLkj1Kk%2FKtI03qhQafJ3UizBSzZ12Sf%2F5EScRBWVFKGQjp2QlIzYeMYUDpPp3NnZuYwvqfYOoJijC0VVi3JxTicV5ReiTVUt2ta0QU11lakbz2M%2BV9VhYWEe7wqMLZIHuWkI0rbx2Aa6uB5OwLWsEIWei8Mls3yu80CAGxNt7vj0xxQHeIMZXEB4zk03DjqyFho82Q3JbGCYz7%2BTDsPBrLuPjVFwXh1UqXVEc1NTEh0TaRRL95ZUoIyOjkBKahLatm%2BH4088AQVF%2BYQ%2B3uTkyOgo098kRq2ZjCGxavhJpBhv4lhANcvxAI%2BLpmLj6eYJyEzLQHFREaqqKnHcccfi%2BBM6obKqjJElB9WVZbwTpNPtU43S03gRqS8LIXf9uA3ofkD4d9jj2wj5j%2BW%2FQ8F1W6D9cgnBAC5GCblrmAvItFLbBruwgJsVuQVRcmP%2FDn8v%2Bg6g193HxsjOp3W2aq1qQPUAbGFAjomNMnKAq2YkKro1nZkFRMYSDVMId0J8NGHlhRATYYbxnEdKToxDUiLdOpGxJJHTxHMaLjeOF008LwY5ulw8JTEJyUlJ5i6hOKIIlJ%2Bfjby8LFRVlCKfQ8GdTScX4KqViWSBM%2FDgwX8x4AK7aTOq6ZGegnCbfioEvAkB13g9wM1KFDHqLPh%2FD3Bd6II7hoDGEtAYIw9swhTHaCLwcvOyUcCCYBVdNS01ERlqqUyIRGJkE2QmtkZGQisUZsajoiAN7Sry0LGmyKhdZS5K85OQmdwaSdFNkc7pkmJbIDG2JQucESyIJjCW8GJJjuPdQBdDDO8EESxYtjTunccLqay4gHEmx7R4qhOXeWTMA9yvwBMzBD3ssT2Iwh3Tf6WC62484DZzK5b4G3uMg%2BtketIKjFurQSZ4e1aW9u%2Fw9yJlsxCFOzjhFB7iUPmOAyUYBHcSAYtPiGGBUnBHG8BVp237leQjjYU%2B9SWJ53c5mSnIz0pGcWYMavMT8bMOxfj7WT%2FDDRedje63XoL%2Bd1%2BL0X07Gw3rdSvuuvF8XHzur%2FC7X3XE%2Fzu5Gm3LUlGQFYXUxOYEPIpunYKy8kJmd0aa%2BChTY5Obo4JoKnLVOSs5gRcULxJuQ5J6IvqqDv93AT8aRx3VhGpqhgRcQV1S7tYCtCCdYIV6r5Do29kDKgyEYRVu3kNQuIMTTuGBlvxQBwsrusgj6JQqQCYlMSsTXuPedG5BrtoTtViqmjApJck09mSxkJmeEIGqvCScdnw5brrgTPS541KM7nkTpg7sjJlDumLx2B5YNuEBLJ%2F4AFZM7o25I%2B7G%2BF7XY%2FrgOzBl0O247crf489nHo%2FaijQU5Kn%2FSgzatqti%2Fu5ookkqAdewvJSF0NpKHN%2FpGJRxXI1Cql3RNkVHR5qWTgu5V%2Bg0VYiHMaLIBMOd18MkU8A00rhVeMCdCLap97Y1J0cd5SBXIVNB3UjB3QHug9sA3riDU%2B9AhJHZiTDzNk7aDieujwc63DrqKhzYTkGw3YWuA6YLPJq5WjEkjllacKtgGcOCnFoRBVIWI0IiM3JiUqLJwBkpsagk3Ned9xv0uuUfGN39OkzpdytmDroDc4d0xqJR3bB2Si88Or0PNs7oi02zB2DdlAeweEQXrBjXDYtHdcbSKT0wqu9NOO%2Bcn6FNVQ7zfCKBzkSHdjUoZRzJzkoz8aRd22p0OrY9juukjlrVKOKdRF1s03hXSaKrR3M71V9F7m0ekuBx0KNu9Y9n4xR6TL%2FbOTy4Atz5FB5w28AjBRp3jpb4N%2BHW8IjmLVRT4nWI8tzbrkRSlZ6q9r4L4Po8qEM9OOaKrrPD9vODQ671hlZtOuk7O10zHjBz4HjLaynAVTh0gBOYaNWGqE834Vb2LlZvv6xMVFSo30gmygsycN7vfo4%2Bt16I0fdcjqm9r8fcQbdh%2FuDb8eCQ27Fs9N14aEpPbJzZl%2BqHjbP7YdPcAdg8bxBWT7wfayd1x7alo%2FHQnCEYO6Az%2FnTmT1HM3J6fm4l8Lr9NTQWKWNAsYOY%2Fpl0tfvbTk3De3%2F6M0379S9TUViGPWTyTF106C50JjCumf4we1zPuzeP3HaCsezy%2FL8C1Xq6fjBojMmYUBvAA6B7g7soIyuZPI6%2FPhequw21IqEIPRDi4gv2Tv53%2B1YDrAnfu0Kp1syDgjCNqlle9dVyczd7VNZUEvBC5jAYnnnAcju%2FYHrUlObjqb2dg6F1XYlr3izG%2F39VYNOhGLB5yC1aO7oz1k%2B7HozN6Y%2FOcAXh26Sg8t3yM1YqxBvL1dPNHpvbFtsXjsHRCf9x386X4Sccq1JSXoLKsGMd2aGsKlAK8proMJxzfAT%2F%2F%2BUn46U9PQEVlqSkH5HB7dGdR1aW66JqWTrU7%2FFcAzu%2B4Xq3fRMkQwJ0CzfUO8GDW9stb8H8D4DoZXiNTWAWWUxfwGEYSwa1Cpev6mpycZKBWdaCGJXTxtnTPkzoxLtQW454bLsCY%2B6%2FF3Acuw%2BIB12LZ4BuwZtTteGTiPdg0oxc2zeyDx%2BcOwnPLRuOFlePw%2FIpxeHHVRDyzdAw%2FH4Kt84bj5VXTsXrSQCwePxBX%2F%2F1s%2FPS4Y9C2ugKnnHwSqisrUFleio4d2qBD%2B2pUV5WgtDQfxYwveXmqRswNPB2kvjCmbtwrcKqg6fb12yr0mP6QAQ%2FKVhv6HNxGk4AMGBZIQRK6kweWpq8Ldn0deJl1tqUBhZvPL7sPkg6SF7fqyXcAvWXq9q7crcfLshkPEhMTTL8S%2B5CCmuArUVpWZGJBOZ28Y20Ffn%2FqiRh%2B740Yc%2B%2BVdO9rsWTQDVgx4jasH98NG6f1NHBvmd0fzyweiZdWTsBLqyfh1Yem4bX10%2FHy2ikEfiLBn4gXV07D1gUT8ND0kVg8YQj%2B9Jufo0N1CU46%2Fjjm7bYoKyvBCYT%2B1F%2F%2BBOVlevpHdeOZpvBZwAijJ4Y0VJVlLC%2FSiNZq5WxOwOsC05D8x%2Fe7Ktzy66mR8dfJlZnCA65KAqd6gIdfoPQfDbg3bdiD65N%2FmQLc1HXTveWKcmu9jSlXjSss5Knvifp16%2FNSAtWmLB%2FX0G1H3ncDs%2FcNeHDgTVgy9FasGXsXHpncnXD3Jtz98PRCOfQEahJeI9xvbZiNN6k3qNcfnk3YZ%2FHzOXh%2B5QxseXAC1s8chZE9bscvO9Uw4%2Bcwh1fj5JNPQFlpAU4%2B6Vgcf1x7tG2jrrWZBmp1%2BhLgkgBXA1NkBAH3Gqv0fpJw%2B%2B6XOw6HQ%2BGWX0%2BHHfBgo48HuGA6MFDfDXA99e3XYQLct02m62QYmeUYB%2FcizgHklqt5HOCCu5yFSDXDq3CpVsq8%2FCwUFuaigMpmFCgkXO3LC9Hl6n9gbI%2BbMHfg7Vg87HYsH9EFa8ffy1xN957VF1vnD8LzLES%2BtHoCXqVjv%2FHwTAI%2Bh4DPIeDSPGq%2B0Svr5uKpJZOxad4orJrcH%2Fdc%2B3e0L2H2Zhxpy%2Fx9IsGuqSrGcce2w%2FGd2qG4KBdZqoPntumxuCL%2BnZ6WhPi4qLqA%2B%2B5YDanOMf4B6hAAD78gv36IgLvp3A6H07dZnpOmdYDrmUk9Ria4XVzJY8bNYUEvLT0ZqSnxyEyOw29O6YQBXW%2FAjAFdsWBoFywefieWjbwbqwn4w4wnG2f3xRMLBuNZZu8X10wgwFOMY79poJ7ryQH%2BIF6hiz%2BzdBIeZyZ%2FdOZArJrUFxed%2BTMUpUajJDsZteUFOOHYNvj5KcejTTUz%2BTG1vNhSkJvDC46xqZgOnpGWXBfwMDCHU7hjcqjyH%2F%2BG5L%2FLNkbu3P6AAG9IB15muO3wy03nBzpU32Z5AXFfDeCMJ3q6pri40NRKFBTko6C4CNkcpmamI4lwpyTFIDclBn%2F7v59j6oB7MXtQNwJ%2BN5aMuoe6FysndMdD03pjw%2BwB2LJgOJ5ePg4vrJmMl9ZNw6uPzMXrjz7oab4dEm4B%2FqoBfCILnsOxZc4QrJ3YCxN63oZTjylHYSpjU0YCairycdqpP8VxHdvid2echrKSfCQnxaKmuhylJQUGcPWH%2BRHwMAsJ1bcH3EnzfTuwncJtR6jCzXeo8i9XJ1rN8O3bs1BXXmr7X2dlITO%2FAFkFBD4zA5mZScjPjEebjDj0uuEiA%2BC8IfdhyejeLGhej66XnoW7LjkHA265AsO7XI9ZA7rj8QVT8crDS6nF%2BPiZ9Xh320q8uWUp3ty0GK9vXIA3PL3%2ByHyTw7cuGIdtD47Gw1P6Y%2BOcMbjuL6ejU3kOUmOaobo4B1UsB5xyUie0YyG3fZtK5GanGahPOL4jMjNSOB6DKDX4eBFFF24o0KHyH4cG1Ugews77HfUDA%2FzQFW47%2Fh1SHldWFeAlpUWm%2Bk0PGlRUVSIrPw%2FZ%2BflIJzzH1Bbj97%2FqhEt%2B%2FxOM7HY1Zg%2FsggUj7kPfm87H337eHn%2F9ZVucfxq%2FZ7S4%2FtzTceXv%2Fx9u%2BssZ6HPTZXhoxgi8u3U1Pn1hAz5%2Bdj3eJ%2BhvP74Eb25ciLcI%2BJt081fWzcbTjClPLhyHx%2BaMwKOzR2Nir64462fHokN5rokq%2BVlp%2BMUpJ6BtTTlOYC6vZT4vLyvCT04%2BHvm5WYiJbl0ng%2F8IeAP6XwC8zokm5Hqu0jSe6LlIRpJ2Hdqa%2FK2cW5KXgusuPBsje96AXjf9GeN7XIkRd12I%2B64%2BE9f96SfofcPf0evG89DvtkvR44YLcefFf8bVf%2Fwt%2Fnbq8Tj7pFqCfxweuOlCPLliOp18HT56eg0%2B2LYM72xZjLc3LcDH21bg460r8KZx8ml4cvEEbF08BUvGD8aV556BS889E2W5qSjKTkcRC5UJBPnETu3xkxM7Mbb8HCdzqGb96Ci9lP5fEFF%2BBLxhmczVGIXZjlD5a0G%2Bs%2Fwnmn9HRUegoDAf%2BQV0bRYuKypKUcLCW35WIk47uQ1633ERxj1wFeYMuRETe15iNG%2FYTViuem%2FGiUfnjsATSybjyZWz8dzahXhm1QKsmz4Gswbfj5mD7sb4nrdiOgulL66bgw%2BfXIX3n1iC9x5fjHcI%2BAcCnQXOl1ZPx%2BZ5I7F6cl8WYO%2FCnOEP4J7rL8ZfzvgFjmtbhl%2F%2F4ifIy0xGcV4mCnjh%2Fd%2BvT8XZvzsdJ55wLHKy0gMObiE%2FeA2KFO441xPPT7hzG6qw835HfXfAQ0H7Vyh0nWFUD8BwCnOCFC9CFW66huSeb9TDAnpZjxpQ1MFJcBcXZKG6JAtXnX86Rva4AlP7X44Z%2Fa6irsSKCZ1ZoLwHD0%2B%2FH%2Bun9cG6qX2xasoArCfsjy%2BdhadXLsAzy%2Bfh%2BTVz8fjC8Sx0jsdj88bg%2BdUzGUsW4T1C%2Ff6WRXh74zxTH%2F7cikl4YuFozBp4B24%2F%2FzT86ZRqXHjmyfjr%2F52Ek9oX45iaQrSrKkZmSizys1ORlZaITse0wTlnn2kehkhJjjeAK4PbmNLAcfEfTyrcuaincOf0uyjcOhrQwQG3cg8ghwW83pX4LTfiu8vCdihSzvTrUABvzW2IaNWUcDRHDguTuVRxXgYqS3JwQvsy3HHNuRjf90pMH3gxZhHuRcNvwcpxXbBucjdsmHYv1k7pioem9sLUfrdh9rD7GS2GYMvCWXTjKVg%2Brh%2BeWjIJzzF6PLtiGp5aOhkv0qnf3bQQ729eiDcemY3nVxHuRSOxYc4gzB92F%2Frdch5uu%2BD%2FcNHvTsKZP63BcTXZqClJMxdbTlosCrNTkJoYZQqdp%2F785EA8kQKAU6HHRvsb%2FvgfHoVyFE6HE%2FDAdxx3fVIaFVEOpxpy3sOl0JP47QFvRsAJd6smiGt9FPIz4pCXGoWirHi0KcvDL09oi%2FtuvRCTBl6NGYMuwsKhN2ENY8mG6Q%2Fg4andsWL0HZja82L0u%2BGPuOHcn%2BOiM07C6Z2q0YmZ%2BTc1Reh7%2FQV4cEg3rJ3cD1vmj8aTiybipVXT8d5jjCaMJ6%2Bvn4EXVk1k5hbgA7FmKu8GM%2Fpj1bT%2BWMa7woMTemLEAzcyh%2F8Kx1fnIiuuCQoy45GeFIPKsgJ0aFuNjPRkwt3aKCrSQd4y8DCEk%2FY33Dk6XAoHdKh%2BBPxbyn8CpUMCnMPo1k1RmxuD35xQjkvPORWX%2FPlX6FCWhdNOao8Bd1%2BNqQOuxZzBV2DFqDvw8OTueHRGL7p3D8zqcyV6X%2F1b%2FPWUAlx2%2BrFYM20oOl90Ln7XsRYn56firgvPwp1%2F%2FzXmDe6CzczpG2cOw7NLJ%2BH9xx7Eexvn4tW1U%2FHc8nEsWI4yLv7E0jF4bMFwrJzeFytn9MP6eYOxmfBvXjQKk%2FvejD%2F9rIIXYTwyGFEKWOAsLso3T9vr6Z6AIpXFQ374idL%2BhjtHh0vhgA7V9wJ46ElvdDZrhH7ogMu9VeuQkRSNsXTKucPvweppA7GEBb3fnFiFX5%2FYBgPvZu4ecB0WjbgO6ybcjY3Te%2BGRKT2wYWoPzOl9JYbe%2FEfcfcEvcM9lZ2BcjxvpwCNx8a9PQbeLz%2BWFMBxdzv8tZvW9xTTkbJw%2BGI%2FPGY431k3HW3Tvl1aOx7aFw%2FD4gqF4YvEIPEbIZw65E0PuvRyzR3bDqul9sGZ6T6yllk%2B8B92vOROFvLtkZzBKZekp%2BzTzAqGYqMh%2FP%2BCC1QesAdj%2F%2FWHQwQDXOjUMAB56gg8nzN9F9barkfKfQOnggLeAfpVMUsEyktEkpvmRuObvp2PrsvHYMHco5g%2B%2FC0%2BtnILbLjobJ1VkY8R9dO9BN2LhkGuxZmwXbJjSEw9TG6b1JugPYEr3KzC5%2B1WYRoddPLYnNs4by9w9AwuH98S0B27FlJ43YNHQrtg0axDWT%2B6Nhyf1xtMLRuJVRpNNswZi6ahuzOFT8MjsoXhwzP3oVBSHn9Zm4rzfHofz%2F689BnX9K%2BaPuBmzhlyPwV3%2BhnaFMSjOikVpQaYpWOpl%2B5F6n7jeeBtJ0KlIjjcG8PrHpxEiM35XDoDdCHdurOG56RsC3MEtme%2B9z%2BsD7lvY96lw29UY%2BU%2BgZH7OjhA3KJ1o%2FRCU%2Bd2e5oiNaIqUiCMxeUBnrJ7SF48R8JfWTsODI7qh5w1%2Fx2kdijDqvmsYMW7CgkHXYSGHq8fcbR5FU19v9evezMLh5rnDsHn%2BSGZpOjILkk8vm4atC%2BXOY6kx2LZgFC%2BIflg19l4C%2FgCeXjgCr6yaQMAHmP4nrz40yzQePb54Am45%2F3ScUpWJUT1uxsj7rsTZJ%2Bfg7stPxeQ%2BlzGmXI07eac4rooFztRY3oGaIIquHRkZRcCjCLfkALc%2FeuWOjY7XYTnuDQGu5QngAync8sLILe%2BggPOiUke7AOBuxh%2Bawu1kY%2BSHu7FqxRPf0vzqWQvEEfCM6COxeclELBx5D7YtHoNHZw%2FGzAF34N6r%2FsTMW4uR3a7EvIE3Y%2BFAuvigm7Fk6B14dFofPM3c%2FNyycXiWem75JLrwVLy4dgZeXDMTL6%2BbjXc3LcY7aql8ZC6nm2Ce4Fk%2Fmdl9Sm88s2gEXlszEdvmD%2BZnD7DgORkrx%2FXEIzMG827RFVPo%2FCvG98LYey7HdWd3xOW%2FqcSk%2By7EijFdMXtYF%2FzuF%2B2RFK3an2bmzVuRkWqmjyHc0Ygm6JERkQTc%2FnSi228dr8N13OXWAcA95%2F42AB9MbvsOBrjbjgDggY3yyS3s%2B1S4nTy4QqrCIiR7QnV7bkiteTt3gMdHNkVeYjM8uXoGlhOw1x%2BehS0PDsfEHtdhaNfLcenvTsT4%2B6%2FFzF7XYwEhXz78Tqwc3Q2bZw%2FEs0vG4DUWEl97aAZepwO%2F%2FvAcvPHIPGo%2BXls%2F1wzffnQBXlYDzpyhdP3%2BVF9eHH1NV9o31k3Ci8tHYdXouwn8SDz5ILP4nCHM%2BT2xevS9WDvuPiwefCuG3vAHTOxyHtaP7oxNk3pgxsDbcfoptYiPOIrZ2%2F7wVVRkHOGWCHmEOl1FcV%2F%2FhYBzXsOPL5aEm%2B5Q5Zb5Pwx4EO4AvCpcURp3PyEdEG%2FjupWb2zkza4RxvVZIimmB6rwEPLF8CrYtGotX1k7HEw%2BOwPpp%2FTGs62W47s%2B%2FwLQ%2Bt2Bqj2swf%2BAteGhidzpxb2zjRfAMAX%2F9oel497H5eH%2FTQry98UG8TsBff3geI4cH%2BAYBPgNbWLC0gPczgL%2B4fCxeXzsJzy0djsVDb8VTCwbjtdXj8fZDk7GJhdgn5wzA2tFd8fTc%2FtjCwuyC3ldjy%2BT7sXVqL0zqfSN%2BdVwZYloe6QEe%2Fb0AfriWFU5umeLzQIA7BQD3b9B%2FmtzOK0uHwu2HOQC897kDOxzgcvCKnFhsXDQeHz2xFK%2Bvn4nnVkzEmsl9MODWf6DvTX8n4Ddjeu%2FrsXzUXVjPwuUmuvc2Zuhnlo7Fq%2BsIOGPIx08swwdbluDNh%2Bfj1bVzjDT%2B9oaFeHHldII9CGsnPIBlI9U41Iefcd61E%2FD0kqFYM74rnlk4EO8%2BMimgl5YMx8uLh%2BOVpSPx4qJheHJ2P2yd2Qerht2JUfdeiZNqcxDf%2BkjEqvUyBPAoAq6fLjc%2FPEvA%2FY%2Fq%2FUeJkccPsXNzv0I%2F%2F68CPBRivSwzFHL3nV6QY1%2BkqR9hpcPptRCcPi6iCYrTI7Bscn9Gjgl4fP5wEzmWj%2B2BIXdchKF3Xow5QzpjZr%2Bb%2BNk9eJhwPsEo8fSS0QHA36Fzf7J1OT5%2FajU%2B2LzUuPYra2YbwN%2FiuABfN7EPlgzvxrvAnXiEy3h59ThOMx5PLhqE1eM74%2BlFA%2FDexsl475HJBvB31k3E22sn4vWVjEErRpu%2Fn6PLLxpwE3pc%2F2cUpTT%2FnwBc5%2F1AgIfqfxdwOnYMIVeVmn48SrlVgMe0OhrpMUdiwTg13AzAqvE98AijxPKx3TG8yyUYcddlmDXwNswacCsz%2Bn14bM5AbJk3lJAPJ%2BRj8fKaqYR4nnH%2F7c89hC%2BeXosPtyzDZ0%2BuxVuPyNlXM8pMxqw%2Bt2F231tNdeGjM%2FoR8AkEfAI2z%2B2DlWPvxFMLB%2BCDx6bh3YcJOPXeeqt3qbcJt4bPPDgISwbdgsvOOh7JrY40hcwYtV6GZPAfAf8Pldvxbwu4Gj%2FUEBIO8ISYlkiJPBKjut%2BIpcPvw5a5w02NxvKx92J0t8swgdl7Rv%2BbMXfwHVgx%2Fn48NncwNrEguGXeMDr4eDy%2FnC67fjbee2whvnxmLXY8%2FzCdfA0%2BenyFce9Ptq7GslE98OCgrlg5hhfP1H7YtmA44Z9OTWOGn8jocjcLmAPw0eaZdO8pRu89bCWw31k%2FCW9TW%2Bf2w9Tul6NdVjOkRhzJeEXAzb4L8FjCLfkBb8VjZbN3ndeD%2FKfoR8Ab6eCe9OsIUpT54Vbb8pcYF4mEqCa4%2BrwzsWz4A3iBhc2nF49hFOmNST2uwuQHrsGDzL3zqZUsYG6aO8SKkD%2FF6Z5dRideO8N0d%2F102wp89fx6bH92HWPLQgL%2BIC%2BCSVg4rBsemtQPTy4Yw8LpKDy%2FbBw%2BeWIhs%2FssRpo5WM%2FC4xOE99Mn5jGiTDV63xsa4DdMxRvrJzLH98SwO%2F6CdEaT1JgmiI3wO7iqCG01YZSqCFtHeIDLvXXsnEIgOpxSNeHhkrc8nfcfARfAYQDXq8zCKSrCTiPA42Lo7tGtUFtWwKgwFM8tn4nnV07Bi6snYka%2F6zG119UE%2FHYsHNEFqyf1INyDGSukIczPozn9RAv4o%2FPx4eNL8MUzq%2FHls2tN9eAb6%2BfS6Udiych7WUC9D2O6Xo5J912DZ3hh6En7F5aPNe9MeWbxCDw%2Bpz%2Fee3Q6PnDaMM0A%2Fg4Bf4u5%2FPkVI7Fu8r0Y1eU8ZMS3oHO3QGxUC3MXss3z0RTvSqbBJ9iKad8Z7r012OhfB3m4c3aoMsv8EfDvDnh8bDRatmiK5Ngo3HXJRdiycCaeWj4Dg%2B68EEO7%2FANT%2BxDw4bdj8cguWDelJ4FVPJGGeoBPYA6fbgDXgwufbFtOwNeYXK7o8sj0gZg3sDM2zhiEsczzPa%2F4Pab1vN48hT%2F%2Bnssx4IZzsYqF182z%2BuKLbQvx0WOz8eHGmfiQkL9H537r4UnYtnAQL6y%2BmDf4Rozp9g%2Bkxcm5WxoFAbdw1wVcLbc6bno9tntF9g8EcNWfH0BmmT8CHgRc9dwO7lDA9ZvvfkUTcEFuMnmM7ccRy9iSTRc8tUNbnFJdiBPLU9Hr5r9iUu9rMI8OvlQ1KDP6YjPhfnz%2BUDzOQqYAVw5%2FcdVU5vZpASd%2F97EFeHXdTLy4ciqeXTrZ9CBcMboH3lg3C88tnYgn6OrrJ%2FfBsNv%2BgQXM9mvG3oe1Y%2B7F9icXE%2FA5FKMLM%2Fp7dO831o3nRTQCayffg7H3XICZ%2Fa5BamxTQq3%2B3x7cBwU8VHXBPFwKd84alCA%2BkLTM%2F3XAnRzkDnh7cvk5C1gHAtzBYTopsVCWxEJabAve9o8%2BAse3KUDXq%2F%2BIkXdfiJkDbsLqyT2xUX1OPMCfWDCCgI%2FB00tsM%2F0LjDXPr5hshoL7lYdm4mUC%2F8Kq6aZV8%2BU1M3ghsFBpWjvn4ItnVxH28Vg7vgc2TO6NF5aMwWdbHsRHG%2Bcwosw0gKs25fU1Y%2FDUwv68C1yDwbedw9h0LZKijuJ2hwLOcgWztxTZmseC%2B%2FlDBjws1H5pmf9OwAMvQff%2B1soPp%2FzrakjBg2k7ToVCHhjXkHC7XzywoFvYHfC6IEyskeMrsrBQFtGKQ%2B5jbMsj0aEsHV2u%2FAP63nwu5g%2B%2FE%2BtY6HxMfbMZTSQ5%2BNYFo0xBUy6uwuYzSyfw73F4askEvPrQbLz2yDy8u2UJXnl4Lp4l%2BC8LekoPGr9OkF9fw8LjamZs5vG316nGZBoLlzMouvf6KXh91Ri8uGQwHpnUFVO6X4gZ%2Fa%2FB7CG3mEKxGqnMPnjSXUhSByt3LHSM7PHSsXNyx%2FBfoDDn1SnwaKBRs0bITivYWwjwZlKTOnKtl34dOuBcSR3Aw%2B3gd5B%2FXQ2p7jwW8oC8EyrpFcJOAch9gBsJCjqg%2FXUEqbWBIooQJLQ%2BEu2LknDf9X9F9%2Bv%2ByIjiAa4qQsK9ad4wbJkvwEeamKL6cOmpxbbn4NYFgn4SnXy2eanPK9RLdPPnCPkLq6dxfDpeXjcNb66ZhrfXsiApuB%2BaQqinGr1Lvb5qLJ5j9t48nfFl7O0YfOvZeGhmHyyf2gcJ0c3s9ofI7Iv64%2BhY0L2Dx%2BrfAPdBJFjNr8FxvDW3Jax4joOqC3gLAd6UYPvUTFCrCd%2Bn%2FyLAwytwID0dEHBBYdzOifGEBbFEAt6uIB69b70A3a48C9P638yI8gA2zBpAyIcYbRbk84abfivbFo6ykNO9H583ggXKIdg4bQie1EPGS5jBpw3F8hH3Y%2BWo7niM322eORTPLByNN1cTbgL%2BrgCn3iPk76ybhLfWTMLzCxmDZvXGI5O7YXL3izDojr9hHdc3efh9iI1qzm0P7oOD238X%2ByEDrrffRnqK4naacb3qgudYD6A0GnC6%2BOGLKP%2FFgNvbutSSWbwZkiKORJv8OPS48Tx0v%2FYcDLr9fCwbez9WT3oAj84eZPTYnMF4bPZgbJw1CBtmDDBN%2FM8zi68YdT%2FG3HkZel3yB3Q551T0%2BPvvcO9f%2Fg89%2F3EWel98NkbffDGmdL2augJPTB%2BAt1ZNxpurJlITqPF4ZdlIwj0MT80fZN4xvmjYrZjW73r86dQajOzbGX875zfM2XLwbwP4969W5skp271XMMfwWMdyO2N1zCmBHsFz3Lp5E7RiHP4R8AbkAA%2BATfnzdzjAAw4eqQPdDImRR6IqJxo9b%2Fo7Bt7%2BD9x92Rk%2BwAcaJ9%2FI4UYNqc1zhxoHf%2BPh2QbyrbNHYM2Q%2BzH%2B5kvQ6%2B9nYdCl56IHIR962Z8x4ELm%2BvN%2Fh77%2FOB2DrzkHD427H88soKMbDcEzDw6gBuLx2f2wbnIPjL3%2FCtxz7R%2BRFn0kUmKbIE7uTSD8cJv9%2BMEBznPGY9miNblp3YTb1JTb3YwwE%2B7I5oiLbol4FpSlWG67FMX5BLkBvRGAi8lQ%2FVcDbvI3T25duD2gefJVc%2BLkwLAwtDRP%2BAiKCJ6IeDp4WXYk7r3%2BL5ja5yZ0vuDXmN73Jiwc0RVrJumhhD7YMLMfh9T0vua9KGr40UMNaq3cOmcknpo5EpsnDsTCHndgtt5Ee%2Bc1mNn5Gsy682qMu%2B4fmHTTBeh7%2BVno%2FNefYUyXC0yX2Uen3IvN0%2B7j%2FL2xalw3RqNbMKzXLagpz2LBUo070bwAY7n9aq1Ui%2BwPFXCdKzLDY9ksoglaRB7NskETREc25T40MxdpPPcnIaolyxOCnE5Oc4nWS4s4v6Rzp1%2BpEOiCvGVzMiAGfQqFW%2FqfAdzv1n6wDwR4S%2FMukWa8bR6J4qxI9LrtAswgZN0uZcS45g%2BYNeAWLB19N4F%2BAOsZH9ZP74WHplFTe2PTnEHm9ccC%2FHkWMJ9bNBHbZo%2FCS4um4OnZY7B%2BVG%2BsHdodawbfh1l3X4%2B53W%2FAtPuuwsg7zsfQW%2F%2BCsV3Px5qxdzK398KGqfdg%2Bbi7MarHNbjm4rOQEN8UsXQ808%2FkPwVwOTehbh5xFFpGHsXtPdp0TU6M4h2SgCdGt6AIeIycvCUdvRXht1HFxJUfAa%2BvQwFcUAQAJyStCXmLJkfguDZ56Nf5EtOLsOfVv0fnf%2FwKQ%2B5Q3%2FDrsGL8PVg7tSf1ANZOeYCQ9zF15BtnDcbWBaNNw4%2FqvV9YORUvrpiG51jQ3DJrBB5jwfOxKYOxYVJ%2FPDq5LwubA7CN0eSFFWPw7BLm7gX98fic7lg%2B%2BjZM7HUVRvS8FsfUZCAm5miK%2BxGlBxlsZ6ofOuCtCHgrAt6a7h0T1YTxqjnSYlsgI641h60M5EkE20BOuC3g3Edue6R3HgM%2FaCvAxZ4Y9EufheiQAQ8sxPs7%2FI4duuqsqwGFm8%2BvbwO4AcJBQbXkZy04VOGtdfMj8MsTqzGg6%2BWY1vt6jLv3MnS98DTccxlzdOe%2FY%2F6w27FqUnfT%2BCM5wDfMpIsvGIXnVk3BS%2BtsnfeL62aZZzT15thti%2FQQ8jhCPRZPLRxtfr%2FnuWWjTN%2FwF1eMovv3w%2Bpxt2L%2B4OswpscVuPKvv%2BRt%2FEhuk8Tbd6SetRTc%2FwkRhQVFAh4T3QzJMS2QHd8aeQkRyE2INJAnMaokMaYEAFfDFbc%2FiufOuLf2gedTyzPnn%2BzJxf3y8%2Bh06ID7ZCrvtSMaHiYFLiC%2FQtdb5yDWlwWc0kES3ALWiFATAifn3A7u1vy%2BFYFp3pIxIDrSPARxxi86YWT36zGlF7Nz3xvQ%2B9qzcfvff4H7rjgDk3pdjcVju2HlpB5YNdk6%2BKMCfNYgbCHgz66ajBfWzcArG%2BbgdT3GtmE%2BXl4%2FBy%2BsnYnnV0%2FH83T2F1ZOwosr1Qw%2FigXTkYR%2BIB6dcR8WDrsO4%2B67EBO4zpK0ZohqeSS370huK3NppH7VWJCr92AI4G5fvi3gYc5F2Om%2BlXSumnKbmjKCtEAqY0gOoS6IjyTkkUiPk4M3NYAnMKrE0cmNe7PwLLj1i83afj%2FgzsVDFcpIo14bEW4nw30eOt8hixsamqUOBXDJubjkIHYQ%2BGEwQARgoIO3jkDTZizdx0QjjrfXu66%2FBCPvu9b0KJzR9zqM6noBHrj2LNx16W9w%2F9VnYVz3qzBz4G1YNPoerJooyFnYnNEfmxeMwFMrJuD5tdPx2qPz8M7mhabl8q1NC%2FHWY4vMu8Df3DCXw1l49aEpeI7O%2FfTSoXhs9gOYO%2BAaTOp%2BCab0vg7%2F75g8ZMXx9s4M26r10bwAedvnRahH7QS6WmGdtE%2BugSe4T40DPPQYN%2FY4h5OtNbFSBjeAE%2BA0AR4bQcCjjIOnxelh76N5d2qGeH5vCpiUqmkb3G6yZ7bPB7eJLyHTHTLg4RQ63yHrWwGuA9CwGgu4cQfup4YO8KOb8IDHxqEsPxtTh%2FfDqPuvYwa%2FHjP7XYfJPa%2FCkDvPQ%2FdrzkLXy36L7tf9ASPuuQxT%2B9%2BMxaO6EXLFlV54ZPYgbFsylk49Da%2F7AH9n0yK8Q8Df9l4j8eYjM%2FHqusl4Zpn6tAzCQ5O7YWy3f3A916DzhWci6agjkNCC0US%2FiEc3VHWbygkWcN6JfuCAa3tbE%2FC46ObGwbNjFVGikM2YkhrT3ACuO2Uco0o0t1UvDNXd157H8MuX1P1XBc9ANWLI9z9MwBup4A%2FVNiw9wVIfcEGgh4yD7wrRtPphWNV%2FR0bxth8Vg%2BSUdGSmZ%2BD3%2F3caHlkyF8PvvQazB92I2QNuMP3CR997CQbf%2BXf0ufkv6H7tH9HzhnMx7K7LML7HNZg16HYsHXe%2FeXnmJjX6rJmGNwT4lkV49%2FHFeHezlR6EeE35fI36eI%2FB1oUDsZHuPbnnxZjemxfRrZeiNiUKGdzfqKOPQmv9dmlrC09LORzjVGuVE3Shet2DAxdsmHN0KPJfKFJjl%2B0HvCXhbhXZlMe1GSFvgWTPyVMUS1RVyAtAjwuq5Vj132qrULQ055HDFlqeb9lOoYCH6r8OcMHqgLV%2FB09MOMCd9BRMTIz92e6ExEQkJqciL78QOVnZWDB3JnZ%2F%2FC7G970Ns4fehHlDbsaCoTdjzqCbMLXvtRjX40oMu%2Fti3H%2FN2YTctnSOuPtSTOlzo4F83fT%2B2LqYLk7IX1k%2Fy%2BjV9eqXIs3CS6un4OkljCaL1aelH%2BYOvh7DOp%2BLUV3%2Bgd%2FUlCJHrXlHHIFkXnTqANaCztbcAW7gptSP5jADrmWEHjv3d2PuCH7AWxDwlgS8FQGPZN6OpYxj83O9TSyacEfx7hSprM7Mrtc9ax0tzH4ceF0OZjfugJcaVcj8QQHu%2Ffqy%2BfXiANgCWg%2FUSno0S73oNNTJ9snrXRcEO4qFSEEdj%2Fj4BCQl6acB05CWlo7UVLp3ZjZOPPFEvPbSC%2Fjk3Tex%2BsGJmDPqLiwY1RlLRt2BxSNuxfxht2DO4Fswvf%2BNmNDzaoy59zLGlt%2Bjz03nYuz9V2Nqn5sxd2hXrJrUG6un9MEGvfBn7lBTu6L3rmxdNNr2RFw4hLm7N1ZNuAuD7%2FgL7r%2FubPTpfAnaFGQjmvEkkfsV0YwnXfuqE89CpnVw7r83lAIAHiLgmi8grscsj8v9roC3ZJmhJZ1akLcm5BFyc%2BXyVoKaItwRar5XbQsB128K2cKpVH%2FZoXKQ1wM8NOuavBsC1fcBuNapF%2BHX%2B87AzRNM1QdcUCt2RHFoIXcgxzJLJyYkIjk5BSkpqQGlMoYERKjT0jICKigoxIUXXYg3XnuVegnvvPoU5k3si%2BXT%2BmDJmK5YMvI25u3bqTuxaGRn8xjbwpFdMH94Z4yko9916Rm494rfY3jXyzCp142YM%2BROzBt2F5aOvZ%2FA98JqFkZXTeyBlRPu5zLuwJz%2B16DHVb%2FB7Rf8Er1u%2Fwf63n8TEmMiEUOgolu0JAQWMDVAOcAluVy42%2FehyAHsl4PbAO5dRN8acAc53bo1QW8dqQtI6%2BO4oPY6VbUi0JJ92sg9cSSFWb5vPBzcPwzAVXj0ubKRWZ8OoHUSAzs%2Ft9unAqj%2BdoDzdiy4WxLuVoI5BvFxiUhKTEY683MWI0ZOtn5MKs8oV8otQF5uPof5%2FC4fWZm5xq3T0zOR5knzFhcXYeCgAXj11Zfx0ovPYffOT%2FHSU49g1tgHsHxKL4J6F8G%2BA0tGd8YyjqvBZ%2BWE%2B8yzmotG3oUNswdj9D1X4eLfdsTVfziZsJ%2FF6HI5hna5mBHkIoxijBl9z6UcXowHrjkdN51zLG7%2F20kYzwLslCFd8Nuft0erpk1YAON%2Bcf91wszxIOAtCbjpEkwdTsAFblBhAPc%2BO3TABXdzLkt3B%2B4TJdCVpVu11DIFs6ZXIdoPuJV9ptRbvk%2F6%2BwcMuHXkuq6s22wwT%2Bs7OXJsbKzJyfHxihWJSEhIQmJiCpVqlJaahewswptjAc4zMBeY8WyBnk3QCXVOdgGBZ8bOLiTgBcjMykMGQU9Lz0ZqehaHGZwnB0uWLsIrr7yEt995C59%2F%2FjG%2B2fslNq9fjJWzR2LtTP0CQw88OrsPHpvbHw%2FP7IP103ubevB1U3th7bS%2BjCPDsJlxZMHIe1ggvQj3Xnk2rjzrRFx%2BZidc%2FfvjcNXvjsWVvzsG3S45FePvvhBrJt6DhWPuxtj%2Bt6IkhxcrywYRvKhbU614rNy5EDQONhnB4QK8rqzBuPU4uQgTfp6g%2FIA76cKU6lwsWh7hbqXzbubldJo2BG7JObVZvk%2F62wEeQTNw%2Bv4yuAHbqT7gAlvxQu8sEdCJLPilpaXRWdORkaEfYs007hyEVsBa5eUWBsC2KiTwhZxWkFNZnI5gC%2FDsLCsB7iDPyMzheDaqqqqwefNjBvB33n0Hn37%2BGfbs%2Bxoff%2FgGntiwDMunD8amRcOwbfFQZmjm6vmDsXnOAPOs5jqCvmLSA1gyrgeWju%2BJZYwjK5nBH5o5COtmDMSKCT2wfNy9WDG2G6G%2BH4%2FN6o0tnHfV%2BLuxYFw3rF4wAqV5cchKS0UcIVftyb8fcCu3HqfGwC2Fwi05wHUH8C%2Fv3wq428Bvq3DLalBcuYW6OZo0UfdJdXSK4AnUlR2BrOxsZOWEUw6Va5STS7ClPDp0HRFoKbfIKk%2FDYmQL6JyiOsri95n8PIvg%2BwHXLxufePJJeOW1l%2FH%2BB%2B%2FivfffxaeffYK9%2B3Zj%2F%2F7d2P7FR9i8cT02rZyIp1aOwdPLRkMv4Nw6fxg2zhuMRwn7xgeH4dF5Q%2FHI3CF4ePYQbOBQBUxVG26aPxRb5utBCb04aCA2ze6PZQ8OwNKFY1igfRmrFy9AdmoayvTz4elp5iFoP%2BBSABCf3Gehakyk%2BHdK26Sh4A7dVvvsqLsIrELnDycHuF9hqwkPVWFBbkge4HJrxQ05s3Fjk5UFcDi4pSDg2YRbylGWJtiSqvZy84s4Tocm1EGVEmhBXuJJ4xZwI2VxQc67QSa3Izs3F3869894%2BdWXCPh7Rh99%2FAF2fv0VvvlmL4D9%2BOrLz%2FH81mXYvHKcaa3Us5jbHhyJzQRdv6sjwKXH6MZbFo%2FB1qVj8SSneWq51dPLOc%2Fyieblns%2BvnITHH5uBLz57GV9%2B%2Bi7mTJ%2BOfG5HAWOSIE9NTOAJ0%2FEKHu%2F6YDSsHxrgtozVEOCS9i%2F4Xf356%2BsHC3hWZhaKCgmh4MpgPFBE4MnNIuwHUjbjh5RDGccm3AI8L5%2FLomvnEFwLd4kBPCfHJ%2FMZQXcy7l5oHFzrzs0vwE233Iw33nrduPf71EcffYDt27%2Bgg%2B%2FFP%2F%2B5H9%2Fs38eC51t45ZlV2LpmOrYtm4ynlk7C1kXjsGXRGDz2IMFeNApPCv7Vk%2FHcmql4Yd1MPE89y%2BmfXT0Dz62dhXe3rsSet7bin3vewM7tb2H7Z%2B%2Bjf%2B%2FeKCsqQWFeHorz88wwLSUFeqdia5VNvFu6xuuCEV4%2FPMAt3IGootqZcHL7YGKMhdip3vL42Q8OcNVd5%2BbpF4UZFbIYDwzggky%2FMEyAD6AcZmsnxZA8OndeQSGXVWL%2BFrA5dOoA4LllIaKr53nyIku61i%2FnLCzCPffdiw%2Fp2u%2B99w7epT786H1s%2F%2BoL7Nu%2Fx7j4fuPkO7Fnx7t45an1eHzlHLzw0EI8sWQ8Hl8yFpsWjsIT%2BsUHtVKum4bnH5qBbSun4Ln1c%2FHSowvx%2FjMPY%2Fe7L%2BCbr96j3sHeXe9g14738fkn7%2BGyiy9ESWEhinihFRXkm2Ex%2Fy7gsUpNTkEMyyb6WRLViwcgOIB%2BkID7ts9fU%2BNX4AcM1GDnA%2FcHC7gOtJ6Va6XmVwLemidJcCteCOoMr7CnuGAc2nPWcDIurXydV2xcW4DnFxQjv1CAe9MYwAU3Ic4uM8rJKQ9CTrjNdwHA7cVVVFyCXn1647MvPjXx5J133zIRRYDv3bubkO%2FGN6CTYw8h34P9uz7HOy89gzXzZ2Dj8kl4dNkEPLx4LB5bMRnbHpqFpx%2BZh6c3LMDzm5bjo9fk1p8A%2F9yBf%2B7fgT1ffMC%2FP8fe3Z9i186PWYh9Gz%2F%2F6U%2BQy3JIEY%2BNVMg7kxEv4EJefLmMZimpBD0mhgDUhdzkcRcBeLxtPv%2FPBFwy34cB3F9laJbn%2B97p3w84D7wDXDUlOcy6BUWEksqiE5sCn2QAF6QWPL8UO3Lz5MqEmoDm5UslxrkLCkvNBSPAjbvL2TlNbp7A9uCmcnMr%2BJlUZr8zLl%2FMiKI7Bx2zpBQjR47E5198ZqLJ2%2B%2B8iU8%2B%2BSgAuLL4P7HPDLt0vQM%2FPeUEXHH5hZzuFXz%2B5fvY8sRDWLd%2BCZ7Y%2BjBeefVZRptPzR1A8eabb%2FaZiKP5v%2FmGF8u%2BXdi%2Fdxf27tmBr776FI8%2FsYkQszxBty7iBRsQY1yhJ92pcvJsWSE1Lc3UOLkfmDJw8%2BR%2Bl1%2BM%2FneoMYCrT4rtMmsBV82IgzfUxRVj3LRO%2F17AW%2BgXsJpww1tDP5Sv%2Fh9FJWUooFvmlxAwnsRsurGk8RxCmyt4BXGI8gvKjAoKy71xfWYBz%2BPQ5nBFF1485vtyfleNgoJq5OdXcRmV9QDXRaM7SDYLrSWlZZg4cSJ27dqJTz792Dj4pxw6wAXpe%2B%2B%2Fg5N%2FchLnzeIyczh%2FJqprynHNNVegf%2F%2FemDV7GiZOGovRY4ajX%2F9ehPdzA7iizTcEHLwHaDn79u0x%2BvjjD7n8zzFkyCAujwXezEzGlBIjP%2BAyhFwCnstsnstsLshT0lIRFR1F2R6FBvCQWpcfmv77AJe4gWqwUWtkalq6B7hVHuHMJai5BDInn38Tyvz8Sp8qKH1mVVBQEVShk0Am5Lw4rKtz2fy%2BsKiKcNQYCfDg8uwwj5Dn88Ip4vwlJRVUGUaMGIHPPvskALjGBfiePbvovt%2Fg888%2FxcxZ0%2FGrX%2F0S7dq15Z0h20BZWVnF8VxUV9WivKzC1NfLkXv17umBzXRihiyo%2FnMv9tLBd%2Bz4wixfMeiMM05HaWkpSnkXKSLcxrV50RZyv7RvBUXcP36mgrCtSZKT5%2FDOkx2QXgdtq2Hl5mpb%2BOFFFKnhWhTKB6qD%2BgcPeCQPfPPmLZCUlEIQqlFRSehKyo3yi%2BimBDJPjksg84uqA1Ba6W%2BBGl4FhZUe4NbRC3iBFBJ68z2X5xy8oIDjVH6B78JhHi%2FgRVVcVEmwKlFWWo4JEybg66934DOCLLcW0AJcrq5oQkwNrAL%2B448%2Fxssvv0LQ25uLI5%2FlgZrqdigrq2buz0Pbtm1x2q%2F%2Fn7kLaH65tyLKfkaUvfu%2BxhdffoLde77G2rWrUVtbw%2Fm0LXTtIrq3alMc3J7yCL5iioXcAU4xt0vJycmmkczfszLcOfu%2B9cMAXAtqhMIBbWtLnOxzhAmJSSgvr0RVdRsCXosSQlBUQugIVz4hzResxQS6uJaFvTZUWzPU34VF%2FJzgF4RRYTFBpvIIty4SLU8qLNZ3nEaAU%2FlGBFwi5Hl0eHdHKOb8paVVBKySEWM2Qd6JTz9Tfv7QgL79q%2B0EUhHjG%2BzZu8c4uf59vWsX8%2FqXOPEkFg5ZYC4prSCo7bmsStzfvSdefuUV495fbv%2BC0%2B7gOOFmQVVw79j5Bb744hNzAZ133t9QWcX1l%2BuuEx7wfOPgAlwuroJ2PmOS5%2BSmnSCbZYkMJKekIDYuzvSiVJ9q4%2BKqXuR4w9L3B1dYTg6q8Ms6mASuUwS337yGz%2FvuYGo04GHhbYw8sK1a8YAnoJjuWF3bDuUVdKryGpSW1aCoVOA6pybIgrukDadt74mQ829J3%2BkCKOD0dUQ45fx5cnGOOxnAS3QR2Oks4A5yAk6XzxfcJTUEU9tTjdLyKsyd%2FyA%2B%2BPBD00T%2FyWefmeH2HV9hjwAn2vv%2FSQ%2F%2B5hvs3b%2Bf498YdTr%2BeANmeQXvBIS0e8%2Be5gJg2uZ%2FTbcPe1Ww9AqXu3ezYLnjc3z55ad46qltxr2rqnlcKrjtjCEOcD%2FcToLcllXUyBWE3ACelYl0Qi4pn8fFx9uCqOrQD6CwThoigROWk4NI8x3KslRbEurMcvfQZbnGI7%2F%2BtYCbfiYCXFWCUis6TB6hlkNVE4JaDunghEpwFcmhCXdRkWBua8AuKTvGkyBvVw90Jwsusy%2BztGA2F4y5C3ji8gMXQgByC3i%2BXJ4XhrahtEzbQxeng2%2FY%2BBi%2B2qmI8jnhtmoIcGnXnj2ooPvmFeSjbfv2ZvzLr74y8%2BzdT8c2cDNzK5bs32UA3%2Fn1lxbw7Z%2BycDnQZG8BXlGlu03jAJeL664hyK2L5yIzK8t0N3BKzyDodHS1GrunmMIpFJpw%2Bj4AN0D7FbIc6XsA3MHdyqhly0g6ZUkA7vKKtgaoYjm1oGUMKS5uxwwrmAV1B7pgJ08dzd%2FFZQS8tC7gDlg3dFC7C8HJub6myWMGz1MGV25XAZQqotOXlbcxgBezTPDMc8%2Fjw48%2FwudfMkJsJ4iEfTdjiZxagJsUTcClPfv2EebtXJatvquorMTosWM89%2F6nmW%2Fvfk8e4F%2Fv2k64eWf47AO8%2F8GbLKz%2BgvtebAqphcUEu7jUDCU%2F2H7ApVzTBqCqU8UVVa0WICtb9fnqU6O4IhHydPV3TzMd1xqCPBw4ofp3Ay6FzhdOhw74oYpZyQHekmrdKsq4kGKJQCorJ%2BAerFZtCZZcWs7dwQP8WF4Ix%2FKW3ZEi9OXhXdwPufvMTsMh3byoVLFG33vZ23Nw%2FS0Jbsk5uAB%2F7Y038RELj19u346du742EPvh9gOuzydMnMj1FqG8kvm5uBhPbNvmgb3PDPfs2%2B1pl6k52bV7O5f9CSH%2FFNOmT%2BT6C0zhsrSsnMemkvtfEYD82wBuIFf3YEYW9dkR6OodqRoeSaALchVC1VCk6lr3E4PhwAnVfxTg4Sb8rlKDg3kynSV3m731ebSpflOtQkmp5MUSD9ICglhIwIsUQxhHBHdZ%2BTGEhYAbdaSOIeR0cQ9wB7KkGpec%2FAof4Fq2wHYKAm4hD7q3H%2FBixhtdgLrtv%2Fv%2BB8bBFTME9zdeJJH8kEtf796FY47VXYYRo0Z3kSJMmjLZuzD2Mr7spujae77mcKdx8F108C%2B3f0yP34e%2F%2FPUPLFyWo6KigsemjCrn9h%2FEwU1hujQAuBWBF%2BhqJCPkplMaY6HyeRajiuQHXUpNTfVaRO2r6w6mwwl4YxWujtwvN13oth1hX3RzYJmF6E1JB5GZVuO8%2FUk6YK6KSn1MKlSgpDsKcIEkoBzc%2BVSBwFXWLqd7l7dHKWEW1BVVHQNygPvhFuwCOyevIcC5PqqwxNay2NoVC7arYXGAF%2FI7xaeTTv4Z4dxt4okkgPd9s79BwF946UWuo4T7VRIA%2FK5ud3O%2B3fwWxsF3Ee6du3dyubpgCLpx8I%2Fx%2Busvoaa2IgC4HFxwHwxwVaka1QHc1azIyV09uQU8l%2FlcUjWig91J0cVCXh%2BuUP1HAW5%2BrMkn824N85YkK%2FObNZ7Mz18fQGa66OAT6%2BrXrc5U8QmJPGnVPHltUM5CZalxb8HETKxcLEAZVQrp3kXK2QS8mICXEGYBLcidSvm5AZrzBSCX%2B%2FPvXNVnq8qQoEoqWFrAGTm4fgO4qiMN5HVlMrjGCysM4H%2F52%2FmMEftNAXHH1zuN5MSSIoeD3Wbyf2Le%2FPnc1nJuI0Gt1p2iEJdcdqmZXoDv2UfA97JQScB3fP0V4d5hMvj2rz5F9x73MrOXUg5w1egIchaYGwKcUU9VoVIo4AZy9dHJF%2BSqXbFS07%2F6sKgRSspmdHFSY1RaarophOqtA7b%2Fir0T1xMLeX6IGqvvBfDoaL0uoa5i%2BVlA%2Fs9jow%2BsuBjExOpJ9WiT61TnrQeA01nIqahsS3AIOFVW5gFe6NVqFNORBTezdxBwK7m4IDeqlLO3M0D7s7ZAVs2JakMC1YOCVncJOrcF3Dq6PjN14h7YgajCPC4Hz8sv47a2wR13diXA%2FzRgq3BpCph75MK7vTxtQVcEEej3db%2FfwF1RVUnAtdxCXHDRRSabS5p%2Btwf4VwR859c7TGPRp59%2BiJ%2BcciLatGXBu5wXSLkAr%2BTdgPlbDWBhMnigRoVwS3XhVguuG1dXheCDIHkaGtDtuGT632cLejq9CqaZ1s31FJXL5fX1HwR4jAdmnBP%2FjiPMdaTP%2FNMcRLG81cXExBLyaEIezRI844kHuKoFVe%2Bt%2FG0cPATwYgP4MWEAZ%2F6mgyu6%2BAE3BUnmazm1gVfL9QBWnbhgNxHFq2s304UFnFBxXjm4AB82fDSB3meAFsSSzdFWfsgFuB6OkIO3bd%2BOkGu5BQZwOb0ANwVNFjB37rKAq7FHgL%2F73luoqalCdTWjkQG80gBeEoBcLh6EW84dBNzKwqzuwup34wDX3x7gHGo831NBQVFADnr3ULZ19GzzWGDDkP%2BwATcPMHs6QkDGx8ciXsPYukogqEYaj4tthOKpOMTHxBPyODp5HOISks3JCMCtargyW7sRcGABXiJnZiwx1YO2StAVNI0qVMhUbcoxBmpB7sAu9ob%2BcQeva%2Bgx36lKknLrVuunWjFz1VeFDq4aHRV%2BFVEeXLDYAG4cfId1cBtVLOgOcA313Uk%2FOdmAXcV4IgdXBn%2Bgdy%2Fs269egyDgtp5c8%2B8k3HJzdcVdunwJ96uMub2KQyu1EwQAL63kvsrJCXpRiNRHhVLvSSuN27%2FVhC%2Bog%2BBbR9d36qxlxHml%2FEJOY5r9Nb0cPo8XQr6pk9dFJ9BVjvq2gPsBdQoHp%2F%2FNv99FoY1B0hGCOyEhDgkaeqB%2BV8DjCHecII9NMA8QqMXSAV7iQVbs6rINbEHAi0ro3F4deCjgUinH%2FYBrWbpgHLxSaUVbOr1aQe00gQvB%2Bz4c4HLwUi5HgNe26YiHH9nIAqKAtPn7q512KCdXgVOFR4GuGpZnnnuW6yox2Vtwq5BZSjAWL11inNsCrjjDiGLm32lqUzS8%2FsbrUV3Lwrfc2wFewYvNQM5oxaEgV1ypo2LKNOEHIZXcuAPc9Y9XBy2X51V4LdadQY1IvDuoZVl%2Fq%2BZG1ZQlLCgL7spKxi0qJyeHcPqdvD7g%2Fp6BB9L3BniiFO%2BJsDak8GA7WcBj6dwxUbxQ5N48sOVVtTxpBJyyDt6WB9VV9bXlNHZYWEzIiwW5GnqsHOiS%2B8xeFJLn2gZcjSuKVDPKMA5VtuO6PNAFtZnOv14LuIkoasmkgyuilHHadu074dXX3yLAqt6zrusA17hfagCaPmOGaR5XLKmuqTF9SSqYx1944QWT29V3RU6vC8JeHNLXpgAbzO0shFfVcL5afqZGMN3tuM0hgBcTbCcHuIE84OLWjZ1bC3Dr%2BLwLUEXFLMByeaY7gif9rbuFVMV1Z2XlEvBy0xlOUuex6KgYgh2E3NWO1XHq0MfMwigcmP9KhQXcAdt4sK3i9Qo0Aq6DER0di8ysHEIt4AgOc61kABd4Za7Bph3BEGxt6D6EvIhZ3Dh53QYfjeszqQ7ghLLYwCvZQmV5FQGvasf5gs5u3J7rCwe44kwRo4ytA6%2FFsZ1OxGefb8eevTaDW5jrwi3gJbVe3nbHHXQ%2F5WMCTjeuIeSqDXnvvfewm06%2FZ68FXJLzS1rek08%2FxfWVE2zBrZ6VtRZwtfKaOFfDY6WL1gOwxMp25%2BU43beOiwtuEzMoQq7PFG3MhVGiMoatotU%2BujuquavKGLg8e1fQQyEFBLsGVbzgJAEew7vyAQEn2MaRTXWx%2FTtU%2Bj7cjw80JPMu9zDQfhsdodoPk8EFupMP2sbA7ea3L%2BOJNwcjMTmFJ4W3PAO3HLytUWmFnFXwCVa5dluCYeHO91RAyPW5c%2ByAewt6D3BbTRgEvMTAYEGXg5f5HNyAbmJKsPXTwO0KmXTw%2FELrcCV0sxNPOoWRQlWAez0Yg2AH5aLLDpx51u9QUytQSjmsQZs2bcyt%2FcMPPsQexhz1OnSA644gKapMmz4dNZy2wnQbDgKuQm6gzEKDkItblw06rXorFgtek80VQYJZ2gJeZL7T%2FqhlVhBLKuCri0RVNeMfj4tkC%2F08BiywCm5BXlPdBtWEW1Kf9ri4hADcDTm4P3bY9hA7DP7wQCtER7Y%2BqOpB%2Fh10RLSq%2F1Tz4dWAGFAFrU%2FhoHYKwh1reqxJqvdWBizjSQu4N8Euq2hP2VoRdZyysYRAF7Yzyi9oy5PThkMCT0d3ju1AdzKAm1qUIOClBgYruz5dUITc5HFeLDyRQbjVrO%2BDm2DrcTXbT6YKPznlZyY3y70FooN6p8S%2F%2FVLcUA%2FC2ja1xrklwX3SSSfhy8%2B%2FIOC7sZcXyh5C7SCXVLNyZ5fOqG2r2iWbvf2A21qnIOAmpgQgt3KxRbUsBYLcuLgtTKorreBWq6y5IwQcm8vmcamt7USwBTiPE4dydz3RVMwIU13d1jys4QCv4jlU%2F337DkgP7DCAO5eW3Ftu9evR7pc0BG9MVIRRbKSV%2B9svN30d%2BaBvUGHmCw94vIZ%2BhYdbCsIdi1jCLSWnpxMoZstqwSb3DgKuhhrJAW4iRxGh9WQcXFHF%2B67RgDuwnUIAtzU39QE31YU8qXrMLZ%2BAtGnXHj%2F%2F5anEGwZeQR0A3APaL9WklJbT8ejgDnAV0s455xzsJdQCXDFlFwuYml7uLcB1Af3qtNMYaRTbKgl4XQdvCHC%2F3IMipipRVYimilBSYVN9frRMuyypkrGtgne26uqOvMscZwAvJeBydEU0PSxSyelrCHiVAdxCrhyenJzaaMAFt2QaB%2FXy0GirWCpQ9RwdhXjK%2FR2vJGGqqKMD0wt2NTSaxsZwQIco2muY9OuIGC5QMcXVYccJ6IS6SuBnii6JYaTP4xMkFi4Jd0JSsumfXK5bW5VAc3AzS3vRRHA7eG2hskMd6TPn7g70AwGumhkBbrO3J55IxRS7bpvHGwLcNBARiEpekFXUmWedZQBXrUcQ7iDU%2FsLi2ofWcZtKGDUIAwuKUhFjwv333otv9u%2FHN%2Fv2G8h37LDVjJpXgL%2F62uucTw9llHDbrHvLZSUHpADXHTAQU0JkQFedOSOI4NTD12r4KSxShFGPTRV4LdiKJFXVxxjV1BxHBz%2BO65cJqEuEzoPaEKr53TGorWlPsDkf120Kmlx%2FRnoWo0lInTgzroPbxhELtiSwncICTu5MTR2VKNEsDU8cxsXqe83D5ejHqHgXCEDvlhXFZYXIf0EEAA%2B6tifCmpDIFfvFz1X4TE6kO4coiUpMkhIM4OkZWXTvcpTXc28LuK3JcHDLOSzUxSXHGBnAmcFNodPTwQB3EUVgN%2BTgpqrQD7ic20mNQXTxqpo2jBrt8NvTzzARwkEcVLCRZ5c3fuXVV3EZhQSy0rzLUPXGZSWlWLFsOeHeh%2F0sqArw7du3m1oTN%2F%2FAwYO5v2pqLzJRokLPbzYIOPexIcCZxZWdLdSclhe7K0TqohHgVdUEloBX13QkwMeiTdsTDOAlPA8mNtII1EAmEwgLOKW37zrAVWVo%2BxvZGOJ3bRNJBJcAJaiSWsP9UPslsJPFVoJlKYnDRGOqmtaCbmH3we0tT3cAv4IXj5Va4oO1KAI1kcMkiUAnceUcJiVz5cmEWSLISQQ5qEQqiQVKis7tsnep6nF5UkxsMHDb7B2s6rNwC16%2FS0v6TLUqRgWC0U5TVOx3fVuL4uq3VXOiAqYANzlcWdOAbQuYDvBwTwHpIpF7qRahqkZQVePCiy4xrZMWasUSNe4EG3gkufF2urIadPSAg6vuKy0rQ9u27fDBBx9h3979RrtZ0PzqKxZIv6KL79xl7g5%2FOOdcA29VLe8uZtst3FbaDitb4NQ%2BEXJV6dWRPtP2q87c7rM93pyXx0KqqGrPO5PPvWuP5fYR8DYncJmCuwNKKR2f2nad%2BH17SjGGdzNedKpFqeGFr1ZO14kuqLqAuz5LDnAHeawHeRB0Kdq4tTFOQp1CnpIlMWgAJ7RxEXTz1pyWQw90p3hPCVy2k%2F72T6M7xhECOwAsIRbQVh7cKQlISZUSrVKSfEo2z%2F0lp6ZymIbUtAwCWOoDPOjedQAvsREkUD3oA12f5RXUBOSm8V8AoYCrA5V6CzrABYxrMVUVoY0nBDoEcLcc3ZpVaKuusY%2FRXXTxZXRwFjLpvKZBxsBN7Q0Crsjy7PPPGbjVRO86Wmn4k5NPYST5mu79DQH%2FhvnbAr59%2Bw4ucx%2B%2B%2BHInTjz5ZygTQHpu0zh1COC821nABTqzsrdfrqZIMhewkb1LqdbIHG86cgVjSRBwwk1nNg4uwNudyMLtCeacCG5JcaVN%2B%2BPMMajmha6o5gqZcvBiZvz6gFMEO%2FRHsEIBr%2B%2FkFnDj4ARczm3gNuLfTBGJCbwA4glqrCAPAh4A21NiXHRAdWCP4zo4PCItLQXp6ameOJ6RTCVRid64lIKMgNJ8Sud3GUgzyjI919RJX5lRjmMPuAqVgjsYMUzM8GAOp9x8dX3VEzcWcge45rEXhIPTRhQTMQh5OWEooXsHTr4B3Mo8shYWcF0gnJ45tpq35ko66eVXXG0cXI6tHoBOu32Aq2VywaKF3D%2FuL2NJCZ1b49KZZ5yF%2FbxC9u8LAr7jq68J%2BE4wseDJp58ntIKaBUpCaJ3XOnZAPsAl00hmIPf2TxeugdpWuzrZyNHeAK22AAM4x6sIdzXjSU1NJxNRqhlR5N5FPDaKjuWcpy0BN5m9ug2HwXhSpgoDFoRd3xTXW9TKRhMDtU%2BKEuEAD4rlPhUsGZGtk9NQmSSSEjlkLHaAy8WtkwcBN3BzeYlUEsF2qgM7pULrEdnZGbz9ZHrSeDpyctOszN8ZyM5OR1Z2GqVhRlDqS5ydhczsbPPUiOpiS1lgEuA6EfaA0yHUccrL3Q5w58aSoojftQV3dq7qZQW7OkapHtvOU1isCKPPBGgI4Dw5OunGtf2A050Ecx3ABbaB2xauVCirrunAwuIxuP7Gm7GHhUMLs8B2qgv4Xd26cf9UFVdXl19%2BBfZxfqc9u%2FdiJx1dLv71rr3o3qO3uaBcVi43dzkBHSof4F7Zwt2ZbB1%2FsNq1jghuTZtOhLuDURDwTka1tccT4mNRwoshj%2FGshOupbcvP2x5rCqSm5oV3snLm%2FArejSWBnpGRaQC3PUXrAu6HOwC4MrMP8HByri4YEwi74ongTkwgwFQAck5bD3DOl8T5AgqF3AJOoD2QA4DnhAPcKRTwbMKYSzALCRJdrJzubRxcgMt5rLO4VkT38LCLJAZwunY4wPWd%2FtZQcB8McN2WtT7bLF8f8KAc2OpSq%2Bo2Rhxm2qpaZlVGhutvuhVfB1ofwwO%2B%2FauvcOr%2F%2BxXXZ6HWE%2FQletSMf3fp0sXUfe9TIXM%2FAd9DBxfgdPDPv9jB279cWtWBgldAtTcO6oZuXN%2B5LB0AXE7uHVe5dTlhtmUcpw6cnlmbgAtsAzdjiRHhlmraWMBV4M8n4GV0%2BRoCbvafBVK5uACv4HkMB7i6Qx8%2BwBVDCC7HFStUuFT%2BFthO8XH2e39McVHED3RSfAwLrEEJ%2BCMEcm5eOnJz9ZMdVJ6Gmd5n1tXl8llZ%2BlUF%2FfJYEHLzkpmcbLqs3uVXxgOvk%2B0BXieDe9WDPKC6Hao2I1%2Bvh%2FBB7mCWYwtwKQA4LwA3rQD3xwsLeLUZyq20LsGrVkvXHUDSOm0tiu0PXmSmIeC84xRwqOZwFfgqmT9vvOU27DD5m9r7dT3AVZf97PMv8A5TxDuWfQJHj5kVs%2FyhTD5z5kzCvce8ok2vatu162u89trr%2BPrr3XjyyWfNK6KrBJEPcD%2FcQVnA1TKr2iCB7Ybaz9DpFU0EeaXcmhFEwwqqspawU37AKxhX9HBIqS4KrqeG09XUqiCqeNOO22dd3MUUG1XKA89yysUlP9ChcnlbLl0fbsHPgqAXPaRYFSZVqBTwhNqCLuBtjYqT4ockqAVyCp1fSva7OZXIGETAUwmzB7lR4wHXq8r0CFRBEU%2B0B7d5z4mRrZs2jkO5QpAOqKr5BLhqRvyQOyd3gLtM7i4AwW2ihgd4oJBJYNUUX04n0skS7PZuUR9wO4%2BFW3XIhVRBaQWKuP2VbQgbIb%2F5jjuxw8DdMOALFy0xT6yrzKH8LbjVU0%2BAP7R%2BHR18F%2Fbt32Ve7rNr1w588MGHjCm7MG7sJOhlQNXVvJh4x6lURlaM8OJEeXWIPMCV0QW3MwwHdYWm8cbt%2Frcn3McawKsIsYPbr6o2x3HZHXkM2tC5jzfuXk2nV0TzA%2B6qCVWTolqV6uoaY2ruQeXDA7iDujWX28qOE3SbvQm5B3M9wD3wFWn8ru1gd8AfIZDz8jN8ykReXhaloQBm4TEnizuWGXRu5vVsxRd%2Bl5efR%2BCKCZGcjPmbt3rBrQwe6BprpKo656IOUlX%2F2XpxRZdCfpdXUI2snHJKrYs2suhikEx2pvIKFSt4gZgqQidbJWnvEFxfYwAPOLhtMKki4HLxW%2B7ojJ2EeJceM9PLeTzA9dCwsvdHn3yMwUOG8c6i%2FS6n1CekxDi5AH%2Frrbewe%2FfXFnI95LBzBz766BPs3rUP5%2F3tQlTygq8ktH7AXV4OB7iB3MFtYNa0ela1ripViJQ7m7%2Fp3IwhcmpJ31UJbkFOt5bh6Bi27XCiiSf2LqIWTMGtYRuqNgB4u3a8CCurUFvTxnuY5dsDbguXTta9%2FYA7xXsObht8rOoDLndnRGFeTyLokh%2FwVA0F%2BAkndmwAcCmHgGdbwAW1B7n%2BlrML%2FoJC%2B6phNVaoP4OetzQlfA9sB6D6f5sGGsYKQWqhte5s4wanNYBXscBaRnfUs4bVRnnmFQ%2BKFnL0KuQWlHOZdZcvmcztAS24%2FYAHFQ7wYESRbruzC3brAYUQwOXgaprXayQuuexyc9cKAK5jQMDbH9OBUeRr7CLgiil7qZ07d%2BKzT7%2FAKy%2B%2FgXYsyHVoT9c0cPsAJ8zGjT2V0UmVjQOA884kCe7QB7GdqunMte1ONN%2B7aeTUAcC9iKL16DjojtrumBM5HdfHcRV4K3khBQGXVFVYi%2FbtGF843oYmIMAVU%2FS447cCnMCZp8OM%2BB1BDlQD%2BhTM3HZesxwDPQFXTvcAdwXRJI5LKQI8PhapVFoch7ExOOKP55wVBNspADgdnEM5tYXaOrmpcWFez2GEKSwqJNzlxrltd0wHt2Bzjmnhdc4tuJ07W4cmyOYlPPZlPBnZeo2xXodAmH2Aazl6zZqeJDd1wWa5hNtzc%2F1tC5c261vIBTvBdgVOyl4QHuCe%2FBn89s5dse%2Bf%2F8RuwqnHzJwEt5rt9QoJ9SNR7z1lcIFdXKqIUozTzzzD9AFXD0LBLalAunPnbsyfv9i4ZG1tR68w51QX8DKJnxtxelX3uQhi44h18FDQ5d7VtcfT6VUW8aap5jSEXK6tyCIJaMU61Y%2B3aXcct593v3KWl3TXZaG7nOeyslL14OpRqGjShhdmB%2BPeerloEHCqAcDd87yB53U9sIOtmC52WLeuKwtywMHNdL7srWgiqAU3lewphXElVRLgAp0ufsTMmdNN7q4Ldl3Vhdzmcs2Tn59FoFU1WGmcW%2F2p9dBACcF2kUSu6aKJjRg2VwtsAy8dW9OoX4ierMnNLyfcRUjP0vu9BbPeHWjBV9WfXqmsVyyr1kOgmkKjL67YKkIP8IAEuHV85%2FrBGhSrYjq5AK%2FgyRTgeqWmgNbT8H598tmn%2BPyLL1DbVmWGAoKkGhT1ty4hcBXocldXk9HtvLa7rd5r%2BNY77%2BH6G2%2FlOlRtx5xLiKsUK8K5t4Nb8udtTqscbi5ibx8d5DaeqHXSvnnA1KZ487jlu1oVObeOg1o2dYHJuU3XXJpGQUEJIa%2FwAFevQkJe3ZbO3cG00KozmTJ4AHBGDVPfHQo4wTSuTcjiAlAH5Z4WC4IelL9gKec2YHM8WFsieVAn%2BsS4kmok0GONox%2Fx9ttvmwLlwQBXVHGRxRZCM%2BjeuTwozJ7lXjQR0F7WNbEjMG7hlgs793a1Jbn5BMxEDwt4dm4p0jIK6gEudxfg6tqaV8hIYBzYA9xAboEPBVxVlOZv4%2BwCwzp4KOB6sECFKz19JMD1z1QJGue2cCuifPDRh9j65JN0Su1DHkGyDT1y7w4dj8HsuXM47T5m9f3mQQc9FPH%2Bhx%2Ba5f38F%2F%2BPgAuyYNP5QQFnLBHUzsG1D9pf3bV0h3KA26q%2FTjSL9jwGKohawN18bh2S7nRqvte65dwCW1JbgN5bo2hiu8y2NT0LJfVP6djxWDKQZxp8BLkB%2FVsC7nqhugdpEgmhrfsOIw90Aa4qwBRBa8TxREKcJBFop3CA68DfcON1Jk%2BHg9vKwh1Qfjazdzav9HweINV961EvQkQnLjEPMSiK2HztakKcazv5AbdwM3PTnbNyS5BqAC80L8E30cXr8Wde2lPMwqceTjBgenCHBdzKZFe6oP3OD7jmsTHFNO3zBCsT63G1a6670QBpu7YGM%2Fj2HdvNm64GDRlMwPSAAeOZnmEsUzwpoorx%2BNYnzIPGeppe8%2Buxt3fe%2BwCffv4VOhxzAgFnVKCcm0oVVLlE6PyQmyG3X3co7aPAFOAB4L2sLbCra0%2Fgd8eYjmpqL9DFbQqlpmCqC0HVkTweiiEE2Q1LzF3XPhChz0zVoKkepMNLXhYX5J2OPd50utLv%2Foc6uBHBdrI1JfUBD4BNJamZnlEimUAmE0i1YpohwTQKOLYfbge4D%2ByDAW5cnK4cHm7JAp6fn2tUUJiDouIcQl3Ig1IeBFxPxXuNMf4oEk4OcOvSNlcL8IzsIqSk59UD3PX6E9iCXGoYcAuyFATcwhEA3MzjA7zC9kaUi1982ZV0bgFqm%2BoFt%2FqifLH9C%2FOZXgch9y5iLNFTPJI6Walf%2BJs8lmrmt5216Px79%2BODDz%2FG6DHjCF%2B5cXDn4k4CvILQ%2BwEv9z6X%2B2rfVPbQ%2Fmv%2FtE%2FK1KolUTQxdd5quPEa0EzZIwzgalxS11xb28V9L6ZJFOlRNRsxHeAW8vqA68EHPR4XH5cQHnCfLODM04oazok9yZ1No4wDNjGOgErMzZQDOfA9lZYcV1cpsUhPDSot2Tq6nN1cAJrfAa5%2FGx7dcADIgw5uIC8Q4How1Q84D6oB3PYz8ddrh1M4wLPzSpCWWYCk1By6eL5x8%2Bw8ZW7r8hZwwW7HAwVMJ54kB7mTgHaZMxzgpoDpA7ySgP%2F5r%2BeZQuYu1Xnv00MNu7Fj1w7T3VWxRX2%2F5djqB%2B4Al4tX19aaGhZFFOnzL79kAXMHXnvjDXQ6%2FgQ6aI25gLSOStWDq%2B%2BLICfcBvAQF5cUKQSpjRlya0%2BcNlho7GigzvdioAXcVS3qItcxqGE5qpDHSf1mBLf9JYwC85geownvYMritnFH1YNWgbhClZVWQO9tSU5OOQjgLHQS7lgVFgU1XdXJNsNHI5kOLBe2TmzhTKODS6awqHFCn06YM1ISkJ4Sj4zUBE8a95TGadLikZYq8O0FYuQtJwC4%2FvXr16cByEMBz0ZRUY4PcLqKXpgZAnhjIoof8MycYqSk5SEhOcsMM7OLkaVfRuM0KmSa17GZakbr5g7ohmRrVTzQPbjrAc6TXcyTWkLAywQ4C5p%2FPPevppBpqwmVwXczS%2BsNszvx7vvvcV8KuA2qPfLgphRZzv7jH8wF4KSYovcWbtqyhYDZl%2FhU1rYhnG0Jq72YDOBt6MaUcewQwAVzAGx%2B76S%2BJWqOV6OO6sYVY3JYQFcbgeA2jUIEW8tXV1y9OkK%2FHmfelFWklwXpiXtdoLZPjCTIy%2FQ3j0kFyyRycZfDBXgNt1tdZzMzsw4IeAwBj42LZFangwtsFgATGSGMOJ7EYUpytHHeDCqTkGalxyM7LcEoixBnpSZapSUiOz0Jmen8LiPJEz9PT%2BRnEoHnMJ3zpRH4tBTeCQQ6lcKLpg7g%2BrdhwyO2lqROJg8HuBxc1WRyAAKi3OcD3MiDPJyb%2BwHXicnJL2UsoXun5CAhKRzgcm4BrmxfbWAPBTpUdQD3Mnk4By%2Biu5XIsWoJA6H73R%2FPwT4ei689B1dM%2BWqn3Hs3C5jbWBBWxzL1vQkCrr%2B73XuPeRTNAa5H3NRvfOLkSXTZKtS2pWMTcNXU2Dr39hQLnG1sDrdZXNvgSYB7QNcRYVeOr22r1sqOZj91hzM%2FxcK7m72YLeCKQypAZxJu%2Fe6oGuXM6yQKvYeSdYHzOJg2DBU2eTxKSyqMk8u9bVTxYoqpJuxANvIaBDxGonvHqZovPoJwC2xCnUyl0LmpVMUKQU1Qc7ISkUsVZCdTKUb5makoyEpDbkYycgi3JKhzMjnuKVsi7FpGJqfL4DQO8lRBTqUQ8nqA69%2Fbb7%2BFPn17GTe3oIcDPI8HQw%2B2KsMRtiLGgOJ2RrZTlIXcjQvy8ICXm5qTrNxipDJ7y70Tk7MbAFxg2rp0ydax1wfbqTGAqxVTKuUJ7HDcSSijU536m99Cv2Hsmur1gh69jWrP%2Fr2YOn0a90nPbwrwYESRq7saFAe4HphQQfOyKy438aW2raKG%2Bq3zYpIbtu2INh2OQ3U7urBXqHSgO%2FnBdoVTxRaBLcA1rruZ%2BRkWRTfe3dw%2Bu9ilH%2FdKz8qFfjtUcAty%2BwIg%2BzoJl8PV%2BFTDC9y4NSOUMrgcXW8FltS7UJBXVFSaB11CATfvsPRn74RIws2CpQB3cKfRtTPikZUpuJORl0Owc5NRlJtKpaEoh8pOQyEBz8tIIdzJBvRcwizVBzyZgKcQ8GQCnmhd3NPpp58WHnD3T4VP1ZP%2F8ZyzccIJxxF2D%2FT8LBY2cunWzKHmgVc6IR26iBBLts%2BIlX01hBxcUKvWxEpwq8dgdm4ZIS6hwxSZ7B2XmGkcPDk119SHZ2aXchrmcFPbYl3cPk%2BpPO65cAOyHaqs3ElXA5G%2BszGHy6RbSSXMx%2B2OPYGg1%2BAXp%2F0a23ftwmcsVH62%2FTN8%2BsWn5jVreo3yDTfdxFyrJvkCLr%2BY%2B29fmawC5rannjQPQuhlQJKe%2BNE8qlIU4HqIoExvrqrUNlUYB%2B%2FQ6STj4KWq4VCDjkD3Sf25TZ9uE1d4AZjPGW2qbJdYFR4FtgroriDq9lnOrT7n%2BnnGtEz9jqd9pYTc277lSl0M9K6VKi6vLdrqiR4Cbh84ZoRSt2d%2BX06Xl0p5QeiFQHo0T2%2B7si5OuAMi3KZxh%2B4dJ8CjjIObiMJIEgScEYSA5%2BekojA%2FDaWFGagozqZyUF6QRcjTUUAXzyW0zsFzCbRUF%2FBkozqAey7e8Zg22PDIwwcG%2FMd%2FP%2F77z%2F4H%2FH8EIunYEuxkFgAAAABJRU5ErkJggg%3D%3D,iVBORw0KGgoAAAANSUhEUgAAALgAAAB%2BCAYAAACXgttuAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGvbSURBVHhe7Z0HuBTl4fUtdG7vvfd%2BaSLWmGY%2Bk%2FzVGBMTkxhj770LKBZAeu%2B9d6R3EEUEFOy9964IUs35znnfeXfn7t0LVyTRJMJznpm7O31%2Bc%2Ba8ZWaPwI%2F%2Ffvz3X%2FzvR8B%2F%2FPdf%2Fe9HwH%2F891%2F974CAv%2FHGG7j77rvxs5%2F9DIWFhWjWrNkhqXnz5mjRogVatmyJlq1aoEWr5hwG1aplXbVo2cyoWYumVHOrZlTTFmhOaWjkLb9ps6Zo2rxJQJqvBecx66Pculu1aI2IlhGIbBWJyNaRiKBatWpl5KZtzvXb9TblOLdd28L5A9uv5bTkPFyW1KIZ5zHbo22su99Nm4fZLi7P7XNrTxHcVg1b8XMdG79aRnCdVKvWdjtbt2pNRZih9kVDs13ecbUK7q%2B21W232w%2FzvVuuWTalzzivf7tac7v0tz4326LvW7dAa04fEdEKkZGtERURIn6mzyU3TUSUxOMebaXxCH6u5Uhat1lPCx4bv7x1O7XgZzqORzc9Ckc5NTkKRx99dB01OboJCvIKsXbt2vCAO7B1MASnU%2BgJbKz%2BZwFvFtymwHb9CPi%2FBfCmRzU1kNcDXNQHDgT1vQMeWHcjAed48%2Ba%2BdbbQiSYcLXlACcSBANf0zbyDKPc1y%2BFJ9i%2BrpbeshgBv2pTb4qlJUx7sZlJwu1pwWS25rFYtCQr39aCAe2olYI289XsXWUsHsDmugpT7QemzAwFuoJYaCXhgOzhdayqC80QKYF54fgnqegpATvA96XMHuJZn1uOHWwpZtx%2FwowV2EwIt%2BcBucjSPOyXApTqAjx8%2Fvu6BoHRynRxQ31YBQAInou6GG7C9oXbKD3hw3QLck8aN7PL9gLv1%2BdfpoIig8xkRbD%2FgfgCaEWxBGW5ZLQzgbnkCrFVYwANuopPAkyHA3bJacLtbmWUEATdwa995DEIBd8dCF4WV3Qazb25ojqsn7YcD3MBdH3CdgwMBLoVul18WcoEZVIQn87cHbljAOe7c%2FTsD7o6zJwt4XQUAl3O7g%2BBOqpNOzneRObGBE2EBl%2FwbHxB3yp3U5s5FpTDLbUawJQu4Hbr1Se7ESgI5IoJwS60t5BrWB7xZwHH9y%2FIfF407NW%2BmuwqPUVO7Tca5m%2FDgUsZd5OJNfYBTQTe2Tm5kALPSsTHRSOJJlVrSTa2C63by76fZD0ImsFv44Dafe9Obi0tQSx7gdt3eOaAc6E7%2B78IpdFpFGRdnWgvmSMoB74PbXVhS8GI%2BAOA8Nzqmfuc%2BkAKAu53XSbDwHD45KMyB9k6gX%2F6dqA%2B4JwLXnPBIDuxmxhklC2Po%2Bkz8UHb11JoZUXKgh8Iduv8a90vw%2B9fTkPwxxUmfaxnuOJhtC2yfB5lE4FrwGNTZd6pFQPW3y227X815d2lGwJv79s3JAW4A4%2FrMOgmj%2F1wEgPXGGzpHB5Kd3ge6T%2B5i9i%2B33vwh6xXgOtfGPMLAHIgsPhnAL7jggsDO64CFnrDvKncSGgLcyeyI7%2BDVOckEuTmdUMMg2I0EXC4l0UV0m3SQt3IFtBDA%2FVD6FVorYhSybjOdD2z%2FsowTcx%2Btg3E7KG2fK%2FA5HRhw%2Fu0KwdxWt6%2BhEuBGIYC3bE7YDgB4nXNBhQPcbJ%2FOj0%2FmnHH%2FjLy%2FHaByaRNr3DoFtr6j%2FOsMXda3B9xX%2BPRkAPcfAB2w0BN26NKJJZQ6Mebk2qvWv1N%2BmR3RTns76T%2BxjQVcccGcdEYHZWazT7y1B9Zhbp0EjFlcudxB4qRl6AA2bcJlclkGTn8E4brqAW6%2Br3%2FczHYIKm5HBC%2Bm6MhIxERHIzY6xgyjpZhoRMVEGUVEc5sIm4FOx0nHzFMrOncrb9wcGx0n3zlzUsb3%2Fx34XNK2EPADOXidc0H5AXeu7s5RKOBuW935c7A7mP3zm%2Bk0vca5bK2z3rK875z8gDch0E5NvaFz7aN8OkIFy9CDEXqiDl0%2BwLXRbkMbkPmeO1XnADnItZxGAW5PuABvLrl98lxP6xHwAtJkZzefN13AdQV4E%2BvGZsi%2FzecNAN7cB5aWJ5h0B4mKijIwx0RFIz42xighLhaJCQlISkpCckoyklISjeIT4xEdF12nlsFBI8DrVttZuBsDuIFb8gDXxRMAXOv4FwHuzrtT4HvfMDCtT4FpvfU6HRRwKRTw888%2Fv87BcCf8UFR3fkFnAWzeogk3uik3mBvt2%2BAG5Q4id0gHybg3l2fGfbLrcPLWG4CW%2B%2BOdbPO38rMnB7CDNjCvJ%2FO9Pqdru6FzcPM91%2Bekv816vHU56BR7YmIIdHwcYgl1THQUEuJjkZKShIz0VGRmZiAnJxtFxYXIL8hFZlY60tJTkJqWjOzsTKRyOtUpmyo5ia6rof7WMTKAezJVmbpLGdn1B%2BU%2B1zHVdlnAA4VagW3gljidgdfKnYdQOSjrKRRanSdFKRmL910AbN93zb15zHTevIH1%2BbjQfOKpCcENAM5Y4saPPlrRpSkhl2wh%2F4jv0kIZKv9FotKuBfxobvjR3GhB3qTOBh9MLouai8SD2q86YB9GBQAP8104ObAFtbJ9JKOInDs%2BPh4JCfGIiyPoCbFIz0hFYVEeSkuLUF1dgeqaKtRQ%2Bfm5yMhMQ1ZWBoqKClBUmI8CfibFxTLSML7ERkYgitFK9c8BMHWMqKD72e2oB7iBpoFjHOLcDrDDoTrnywe5gTrMdxp384bCbbY1ALi%2FHtxfXagqWr8IeLgTdqg63IBrJ7XT%2F27Av40c3Iojgtu6djwSExk7GEGSkjRMQBqdOTc3EympHE9PItQ5qK2tRseOHdC2bS0qyksJfrFRTXUlSkuKkJFGR6eTpyYnIYaAR3v1x6GxInhrt9vi1NKIx5FghAUmnDzADofCnbODyc373QBv5g2b%2FCsA17hu3xbuZs2P%2Bq8F3F3QzrlVaIyLi6Nr23ydmprKSJJsYkdqqv5O5HgSCgpzGE8ykZmRhmxGlcL8PJQR7MrKcqQzvsi5CwvykMcIk8O4kpmehgwtJzmRcScarb2CoYHcd6wMyJRAcONBedNR9aD2ywfod1W4c3YwuXkbB7insIBbyA8j4MGNDALJoQ%2Fu%2FwbA3R3KjSsCqLCmgqHgS0iIM%2B6dnCyoLeApqcksTCZymIiy8iJGFRYsk%2BKRTGdPIbSCPJvxJCcny6iivMzAnZ6aYr7L0XccZhH0ZE4fERmsWhSU7lg5mB3gGjpg%2FBGlHtR%2BBab%2F7gp3zg4mN29DgGuapk1ZsPQpCLiTl8U53mjAnVvVV3BH6oIouAW1NvjAG96gfkCA%2B%2FfZ1Z23atXSZOv4%2BBhCHWfcVzk7VUATRBtPkkxBM54FzDRGjsqKMuPWytaqTZGS%2BH0ilZ%2BbgzZtalBdVYG83GykMZ7IwZMTEwzg2RnppoAaIxdXnb6LK96xCro1j7WTd9ylYFZvWP7pGxSXG%2B58HA65dYTlxMdDU3WnCAFdhc8g4Lau%2FDADrrztgU0Fa02CB%2Bc%2FGXCTaw3YrUwUiSO0cXHRyMxMQXFJPt25GAUFuYTcOq3AVlyRUunGubm5qKlioZJDAR0KuJxacJcUFxqwc%2BnmiieKMnJvAZ6ZmW7uBqZHnqtK9I5VKODhAD6Y3Hk6oL5HwN261WdIXBjYA4CHRBcqDOAOnKAsxKFgOwV31uVtE0vqAK4Ns7LVVL6NPpC%2BV8Dd8q20nw5wtUCqIBnPOJKSkoD8gmxUVJYgNy8TGRkpBsLcvBxkZTE%2FZ2airKwMRUWFBLcYRYWFjB5pSFRWV504lRQby78puTzdP5fxpLiwACWcR1m8sDAfKbwbGNB5EegukRyoRuQFZ%2BCWbH15wMEdkFQ4mMPJP0%2BD%2Bl4AF0v6jtOYqsXgPKZbsufgxsV9agBwVwNi9d0B95XsDwVwxR1vHX7ZbQ3d%2FsOluuvVSdW2u9qSWEKp6r%2Bk5HhkZ6cT8hyTrUtKC1HLmFFVXYma2ho6eynate%2FA8TZ08Dw6cw5zdwriYxhtYgi4E5eXpZxNFdDhiwsKUVRQYOJMeXmpqTo0cDOiZBB0KYUZPjpSLbK2AUYNQaYxyJiJD0hP4YAOVeg8YfW9Aa7vbTowScGbR4xaF1cB1EYTpwMAfnRAdkHaqVC4Jd%2FOuhVTusoOF%2BANyW7rwRS6f42VXUfggHN7lLkj1Kk%2FKtI03qhQafJ3UizBSzZ12Sf%2F5EScRBWVFKGQjp2QlIzYeMYUDpPp3NnZuYwvqfYOoJijC0VVi3JxTicV5ReiTVUt2ta0QU11lakbz2M%2BV9VhYWEe7wqMLZIHuWkI0rbx2Aa6uB5OwLWsEIWei8Mls3yu80CAGxNt7vj0xxQHeIMZXEB4zk03DjqyFho82Q3JbGCYz7%2BTDsPBrLuPjVFwXh1UqXVEc1NTEh0TaRRL95ZUoIyOjkBKahLatm%2BH4088AQVF%2BYQ%2B3uTkyOgo098kRq2ZjCGxavhJpBhv4lhANcvxAI%2BLpmLj6eYJyEzLQHFREaqqKnHcccfi%2BBM6obKqjJElB9WVZbwTpNPtU43S03gRqS8LIXf9uA3ofkD4d9jj2wj5j%2BW%2FQ8F1W6D9cgnBAC5GCblrmAvItFLbBruwgJsVuQVRcmP%2FDn8v%2Bg6g193HxsjOp3W2aq1qQPUAbGFAjomNMnKAq2YkKro1nZkFRMYSDVMId0J8NGHlhRATYYbxnEdKToxDUiLdOpGxJJHTxHMaLjeOF008LwY5ulw8JTEJyUlJ5i6hOKIIlJ%2Bfjby8LFRVlCKfQ8GdTScX4KqViWSBM%2FDgwX8x4AK7aTOq6ZGegnCbfioEvAkB13g9wM1KFDHqLPh%2FD3Bd6II7hoDGEtAYIw9swhTHaCLwcvOyUcCCYBVdNS01ERlqqUyIRGJkE2QmtkZGQisUZsajoiAN7Sry0LGmyKhdZS5K85OQmdwaSdFNkc7pkmJbIDG2JQucESyIJjCW8GJJjuPdQBdDDO8EESxYtjTunccLqay4gHEmx7R4qhOXeWTMA9yvwBMzBD3ssT2Iwh3Tf6WC62484DZzK5b4G3uMg%2BtketIKjFurQSZ4e1aW9u%2Fw9yJlsxCFOzjhFB7iUPmOAyUYBHcSAYtPiGGBUnBHG8BVp237leQjjYU%2B9SWJ53c5mSnIz0pGcWYMavMT8bMOxfj7WT%2FDDRedje63XoL%2Bd1%2BL0X07Gw3rdSvuuvF8XHzur%2FC7X3XE%2Fzu5Gm3LUlGQFYXUxOYEPIpunYKy8kJmd0aa%2BChTY5Obo4JoKnLVOSs5gRcULxJuQ5J6IvqqDv93AT8aRx3VhGpqhgRcQV1S7tYCtCCdYIV6r5Do29kDKgyEYRVu3kNQuIMTTuGBlvxQBwsrusgj6JQqQCYlMSsTXuPedG5BrtoTtViqmjApJck09mSxkJmeEIGqvCScdnw5brrgTPS541KM7nkTpg7sjJlDumLx2B5YNuEBLJ%2F4AFZM7o25I%2B7G%2BF7XY%2FrgOzBl0O247crf489nHo%2FaijQU5Kn%2FSgzatqti%2Fu5ookkqAdewvJSF0NpKHN%2FpGJRxXI1Cql3RNkVHR5qWTgu5V%2Bg0VYiHMaLIBMOd18MkU8A00rhVeMCdCLap97Y1J0cd5SBXIVNB3UjB3QHug9sA3riDU%2B9AhJHZiTDzNk7aDieujwc63DrqKhzYTkGw3YWuA6YLPJq5WjEkjllacKtgGcOCnFoRBVIWI0IiM3JiUqLJwBkpsagk3Ned9xv0uuUfGN39OkzpdytmDroDc4d0xqJR3bB2Si88Or0PNs7oi02zB2DdlAeweEQXrBjXDYtHdcbSKT0wqu9NOO%2Bcn6FNVQ7zfCKBzkSHdjUoZRzJzkoz8aRd22p0OrY9juukjlrVKOKdRF1s03hXSaKrR3M71V9F7m0ekuBx0KNu9Y9n4xR6TL%2FbOTy4Atz5FB5w28AjBRp3jpb4N%2BHW8IjmLVRT4nWI8tzbrkRSlZ6q9r4L4Po8qEM9OOaKrrPD9vODQ671hlZtOuk7O10zHjBz4HjLaynAVTh0gBOYaNWGqE834Vb2LlZvv6xMVFSo30gmygsycN7vfo4%2Bt16I0fdcjqm9r8fcQbdh%2FuDb8eCQ27Fs9N14aEpPbJzZl%2BqHjbP7YdPcAdg8bxBWT7wfayd1x7alo%2FHQnCEYO6Az%2FnTmT1HM3J6fm4l8Lr9NTQWKWNAsYOY%2Fpl0tfvbTk3De3%2F6M0379S9TUViGPWTyTF106C50JjCumf4we1zPuzeP3HaCsezy%2FL8C1Xq6fjBojMmYUBvAA6B7g7soIyuZPI6%2FPhequw21IqEIPRDi4gv2Tv53%2B1YDrAnfu0Kp1syDgjCNqlle9dVyczd7VNZUEvBC5jAYnnnAcju%2FYHrUlObjqb2dg6F1XYlr3izG%2F39VYNOhGLB5yC1aO7oz1k%2B7HozN6Y%2FOcAXh26Sg8t3yM1YqxBvL1dPNHpvbFtsXjsHRCf9x386X4Sccq1JSXoLKsGMd2aGsKlAK8proMJxzfAT%2F%2F%2BUn46U9PQEVlqSkH5HB7dGdR1aW66JqWTrU7%2FFcAzu%2B4Xq3fRMkQwJ0CzfUO8GDW9stb8H8D4DoZXiNTWAWWUxfwGEYSwa1Cpev6mpycZKBWdaCGJXTxtnTPkzoxLtQW454bLsCY%2B6%2FF3Acuw%2BIB12LZ4BuwZtTteGTiPdg0oxc2zeyDx%2BcOwnPLRuOFlePw%2FIpxeHHVRDyzdAw%2FH4Kt84bj5VXTsXrSQCwePxBX%2F%2F1s%2FPS4Y9C2ugKnnHwSqisrUFleio4d2qBD%2B2pUV5WgtDQfxYwveXmqRswNPB2kvjCmbtwrcKqg6fb12yr0mP6QAQ%2FKVhv6HNxGk4AMGBZIQRK6kweWpq8Ldn0deJl1tqUBhZvPL7sPkg6SF7fqyXcAvWXq9q7crcfLshkPEhMTTL8S%2B5CCmuArUVpWZGJBOZ28Y20Ffn%2FqiRh%2B740Yc%2B%2BVdO9rsWTQDVgx4jasH98NG6f1NHBvmd0fzyweiZdWTsBLqyfh1Yem4bX10%2FHy2ikEfiLBn4gXV07D1gUT8ND0kVg8YQj%2B9Jufo0N1CU46%2Fjjm7bYoKyvBCYT%2B1F%2F%2BBOVlevpHdeOZpvBZwAijJ4Y0VJVlLC%2FSiNZq5WxOwOsC05D8x%2Fe7Ktzy66mR8dfJlZnCA65KAqd6gIdfoPQfDbg3bdiD65N%2FmQLc1HXTveWKcmu9jSlXjSss5Knvifp16%2FNSAtWmLB%2FX0G1H3ncDs%2FcNeHDgTVgy9FasGXsXHpncnXD3Jtz98PRCOfQEahJeI9xvbZiNN6k3qNcfnk3YZ%2FHzOXh%2B5QxseXAC1s8chZE9bscvO9Uw4%2Bcwh1fj5JNPQFlpAU4%2B6Vgcf1x7tG2jrrWZBmp1%2BhLgkgBXA1NkBAH3Gqv0fpJw%2B%2B6XOw6HQ%2BGWX0%2BHHfBgo48HuGA6MFDfDXA99e3XYQLct02m62QYmeUYB%2FcizgHklqt5HOCCu5yFSDXDq3CpVsq8%2FCwUFuaigMpmFCgkXO3LC9Hl6n9gbI%2BbMHfg7Vg87HYsH9EFa8ffy1xN957VF1vnD8LzLES%2BtHoCXqVjv%2FHwTAI%2Bh4DPIeDSPGq%2B0Svr5uKpJZOxad4orJrcH%2Fdc%2B3e0L2H2Zhxpy%2Fx9IsGuqSrGcce2w%2FGd2qG4KBdZqoPntumxuCL%2BnZ6WhPi4qLqA%2B%2B5YDanOMf4B6hAAD78gv36IgLvp3A6H07dZnpOmdYDrmUk9Ria4XVzJY8bNYUEvLT0ZqSnxyEyOw29O6YQBXW%2FAjAFdsWBoFywefieWjbwbqwn4w4wnG2f3xRMLBuNZZu8X10wgwFOMY79poJ7ryQH%2BIF6hiz%2BzdBIeZyZ%2FdOZArJrUFxed%2BTMUpUajJDsZteUFOOHYNvj5KcejTTUz%2BTG1vNhSkJvDC46xqZgOnpGWXBfwMDCHU7hjcqjyH%2F%2BG5L%2FLNkbu3P6AAG9IB15muO3wy03nBzpU32Z5AXFfDeCMJ3q6pri40NRKFBTko6C4CNkcpmamI4lwpyTFIDclBn%2F7v59j6oB7MXtQNwJ%2BN5aMuoe6FysndMdD03pjw%2BwB2LJgOJ5ePg4vrJmMl9ZNw6uPzMXrjz7oab4dEm4B%2FqoBfCILnsOxZc4QrJ3YCxN63oZTjylHYSpjU0YCairycdqpP8VxHdvid2echrKSfCQnxaKmuhylJQUGcPWH%2BRHwMAsJ1bcH3EnzfTuwncJtR6jCzXeo8i9XJ1rN8O3bs1BXXmr7X2dlITO%2FAFkFBD4zA5mZScjPjEebjDj0uuEiA%2BC8IfdhyejeLGhej66XnoW7LjkHA265AsO7XI9ZA7rj8QVT8crDS6nF%2BPiZ9Xh320q8uWUp3ty0GK9vXIA3PL3%2ByHyTw7cuGIdtD47Gw1P6Y%2BOcMbjuL6ejU3kOUmOaobo4B1UsB5xyUie0YyG3fZtK5GanGahPOL4jMjNSOB6DKDX4eBFFF24o0KHyH4cG1Ugews77HfUDA%2FzQFW47%2Fh1SHldWFeAlpUWm%2Bk0PGlRUVSIrPw%2FZ%2BflIJzzH1Bbj97%2FqhEt%2B%2FxOM7HY1Zg%2FsggUj7kPfm87H337eHn%2F9ZVucfxq%2FZ7S4%2FtzTceXv%2Fx9u%2BssZ6HPTZXhoxgi8u3U1Pn1hAz5%2Bdj3eJ%2BhvP74Eb25ciLcI%2BJt081fWzcbTjClPLhyHx%2BaMwKOzR2Nir64462fHokN5rokq%2BVlp%2BMUpJ6BtTTlOYC6vZT4vLyvCT04%2BHvm5WYiJbl0ng%2F8IeAP6XwC8zokm5Hqu0jSe6LlIRpJ2Hdqa%2FK2cW5KXgusuPBsje96AXjf9GeN7XIkRd12I%2B64%2BE9f96SfofcPf0evG89DvtkvR44YLcefFf8bVf%2Fwt%2Fnbq8Tj7pFqCfxweuOlCPLliOp18HT56eg0%2B2LYM72xZjLc3LcDH21bg460r8KZx8ml4cvEEbF08BUvGD8aV556BS889E2W5qSjKTkcRC5UJBPnETu3xkxM7Mbb8HCdzqGb96Ci9lP5fEFF%2BBLxhmczVGIXZjlD5a0G%2Bs%2Fwnmn9HRUegoDAf%2BQV0bRYuKypKUcLCW35WIk47uQ1633ERxj1wFeYMuRETe15iNG%2FYTViuem%2FGiUfnjsATSybjyZWz8dzahXhm1QKsmz4Gswbfj5mD7sb4nrdiOgulL66bgw%2BfXIX3n1iC9x5fjHcI%2BAcCnQXOl1ZPx%2BZ5I7F6cl8WYO%2FCnOEP4J7rL8ZfzvgFjmtbhl%2F%2F4ifIy0xGcV4mCnjh%2Fd%2BvT8XZvzsdJ55wLHKy0gMObiE%2FeA2KFO441xPPT7hzG6qw835HfXfAQ0H7Vyh0nWFUD8BwCnOCFC9CFW66huSeb9TDAnpZjxpQ1MFJcBcXZKG6JAtXnX86Rva4AlP7X44Z%2Fa6irsSKCZ1ZoLwHD0%2B%2FH%2Bun9cG6qX2xasoArCfsjy%2BdhadXLsAzy%2Bfh%2BTVz8fjC8Sx0jsdj88bg%2BdUzGUsW4T1C%2Ff6WRXh74zxTH%2F7cikl4YuFozBp4B24%2F%2FzT86ZRqXHjmyfjr%2F52Ek9oX45iaQrSrKkZmSizys1ORlZaITse0wTlnn2kehkhJjjeAK4PbmNLAcfEfTyrcuaincOf0uyjcOhrQwQG3cg8ghwW83pX4LTfiu8vCdihSzvTrUABvzW2IaNWUcDRHDguTuVRxXgYqS3JwQvsy3HHNuRjf90pMH3gxZhHuRcNvwcpxXbBucjdsmHYv1k7pioem9sLUfrdh9rD7GS2GYMvCWXTjKVg%2Brh%2BeWjIJzzF6PLtiGp5aOhkv0qnf3bQQ729eiDcemY3nVxHuRSOxYc4gzB92F%2Frdch5uu%2BD%2FcNHvTsKZP63BcTXZqClJMxdbTlosCrNTkJoYZQqdp%2F785EA8kQKAU6HHRvsb%2FvgfHoVyFE6HE%2FDAdxx3fVIaFVEOpxpy3sOl0JP47QFvRsAJd6smiGt9FPIz4pCXGoWirHi0KcvDL09oi%2FtuvRCTBl6NGYMuwsKhN2ENY8mG6Q%2Fg4andsWL0HZja82L0u%2BGPuOHcn%2BOiM07C6Z2q0YmZ%2BTc1Reh7%2FQV4cEg3rJ3cD1vmj8aTiybipVXT8d5jjCaMJ6%2Bvn4EXVk1k5hbgA7FmKu8GM%2Fpj1bT%2BWMa7woMTemLEAzcyh%2F8Kx1fnIiuuCQoy45GeFIPKsgJ0aFuNjPRkwt3aKCrSQd4y8DCEk%2FY33Dk6XAoHdKh%2BBPxbyn8CpUMCnMPo1k1RmxuD35xQjkvPORWX%2FPlX6FCWhdNOao8Bd1%2BNqQOuxZzBV2DFqDvw8OTueHRGL7p3D8zqcyV6X%2F1b%2FPWUAlx2%2BrFYM20oOl90Ln7XsRYn56firgvPwp1%2F%2FzXmDe6CzczpG2cOw7NLJ%2BH9xx7Eexvn4tW1U%2FHc8nEsWI4yLv7E0jF4bMFwrJzeFytn9MP6eYOxmfBvXjQKk%2FvejD%2F9rIIXYTwyGFEKWOAsLso3T9vr6Z6AIpXFQ374idL%2BhjtHh0vhgA7V9wJ46ElvdDZrhH7ogMu9VeuQkRSNsXTKucPvweppA7GEBb3fnFiFX5%2FYBgPvZu4ecB0WjbgO6ybcjY3Te%2BGRKT2wYWoPzOl9JYbe%2FEfcfcEvcM9lZ2BcjxvpwCNx8a9PQbeLz%2BWFMBxdzv8tZvW9xTTkbJw%2BGI%2FPGY431k3HW3Tvl1aOx7aFw%2FD4gqF4YvEIPEbIZw65E0PuvRyzR3bDqul9sGZ6T6yllk%2B8B92vOROFvLtkZzBKZekp%2BzTzAqGYqMh%2FP%2BCC1QesAdj%2F%2FWHQwQDXOjUMAB56gg8nzN9F9barkfKfQOnggLeAfpVMUsEyktEkpvmRuObvp2PrsvHYMHco5g%2B%2FC0%2BtnILbLjobJ1VkY8R9dO9BN2LhkGuxZmwXbJjSEw9TG6b1JugPYEr3KzC5%2B1WYRoddPLYnNs4by9w9AwuH98S0B27FlJ43YNHQrtg0axDWT%2B6Nhyf1xtMLRuJVRpNNswZi6ahuzOFT8MjsoXhwzP3oVBSHn9Zm4rzfHofz%2F689BnX9K%2BaPuBmzhlyPwV3%2BhnaFMSjOikVpQaYpWOpl%2B5F6n7jeeBtJ0KlIjjcG8PrHpxEiM35XDoDdCHdurOG56RsC3MEtme%2B9z%2BsD7lvY96lw29UY%2BU%2BgZH7OjhA3KJ1o%2FRCU%2Bd2e5oiNaIqUiCMxeUBnrJ7SF48R8JfWTsODI7qh5w1%2Fx2kdijDqvmsYMW7CgkHXYSGHq8fcbR5FU19v9evezMLh5rnDsHn%2BSGZpOjILkk8vm4atC%2BXOY6kx2LZgFC%2BIflg19l4C%2FgCeXjgCr6yaQMAHmP4nrz40yzQePb54Am45%2F3ScUpWJUT1uxsj7rsTZJ%2Bfg7stPxeQ%2BlzGmXI07eac4rooFztRY3oGaIIquHRkZRcCjCLfkALc%2FeuWOjY7XYTnuDQGu5QngAync8sLILe%2BggPOiUke7AOBuxh%2Bawu1kY%2BSHu7FqxRPf0vzqWQvEEfCM6COxeclELBx5D7YtHoNHZw%2FGzAF34N6r%2FsTMW4uR3a7EvIE3Y%2BFAuvigm7Fk6B14dFofPM3c%2FNyycXiWem75JLrwVLy4dgZeXDMTL6%2BbjXc3LcY7aql8ZC6nm2Ce4Fk%2Fmdl9Sm88s2gEXlszEdvmD%2BZnD7DgORkrx%2FXEIzMG827RFVPo%2FCvG98LYey7HdWd3xOW%2FqcSk%2By7EijFdMXtYF%2FzuF%2B2RFK3an2bmzVuRkWqmjyHc0Ygm6JERkQTc%2FnSi228dr8N13OXWAcA95%2F42AB9MbvsOBrjbjgDggY3yyS3s%2B1S4nTy4QqrCIiR7QnV7bkiteTt3gMdHNkVeYjM8uXoGlhOw1x%2BehS0PDsfEHtdhaNfLcenvTsT4%2B6%2FFzF7XYwEhXz78Tqwc3Q2bZw%2FEs0vG4DUWEl97aAZepwO%2F%2FvAcvPHIPGo%2BXls%2F1wzffnQBXlYDzpyhdP3%2BVF9eHH1NV9o31k3Ci8tHYdXouwn8SDz5ILP4nCHM%2BT2xevS9WDvuPiwefCuG3vAHTOxyHtaP7oxNk3pgxsDbcfoptYiPOIrZ2%2F7wVVRkHOGWCHmEOl1FcV%2F%2FhYBzXsOPL5aEm%2B5Q5Zb5Pwx4EO4AvCpcURp3PyEdEG%2FjupWb2zkza4RxvVZIimmB6rwEPLF8CrYtGotX1k7HEw%2BOwPpp%2FTGs62W47s%2B%2FwLQ%2Bt2Bqj2swf%2BAteGhidzpxb2zjRfAMAX%2F9oel497H5eH%2FTQry98UG8TsBff3geI4cH%2BAYBPgNbWLC0gPczgL%2B4fCxeXzsJzy0djsVDb8VTCwbjtdXj8fZDk7GJhdgn5wzA2tFd8fTc%2FtjCwuyC3ldjy%2BT7sXVqL0zqfSN%2BdVwZYloe6QEe%2Fb0AfriWFU5umeLzQIA7BQD3b9B%2FmtzOK0uHwu2HOQC897kDOxzgcvCKnFhsXDQeHz2xFK%2Bvn4nnVkzEmsl9MODWf6DvTX8n4Ddjeu%2FrsXzUXVjPwuUmuvc2Zuhnlo7Fq%2BsIOGPIx08swwdbluDNh%2Bfj1bVzjDT%2B9oaFeHHldII9CGsnPIBlI9U41Iefcd61E%2FD0kqFYM74rnlk4EO8%2BMimgl5YMx8uLh%2BOVpSPx4qJheHJ2P2yd2Qerht2JUfdeiZNqcxDf%2BkjEqvUyBPAoAq6fLjc%2FPEvA%2FY%2Fq%2FUeJkccPsXNzv0I%2F%2F68CPBRivSwzFHL3nV6QY1%2BkqR9hpcPptRCcPi6iCYrTI7Bscn9Gjgl4fP5wEzmWj%2B2BIXdchKF3Xow5QzpjZr%2Bb%2BNk9eJhwPsEo8fSS0QHA36Fzf7J1OT5%2FajU%2B2LzUuPYra2YbwN%2FiuABfN7EPlgzvxrvAnXiEy3h59ThOMx5PLhqE1eM74%2BlFA%2FDexsl475HJBvB31k3E22sn4vWVjEErRpu%2Fn6PLLxpwE3pc%2F2cUpTT%2FnwBc5%2F1AgIfqfxdwOnYMIVeVmn48SrlVgMe0OhrpMUdiwTg13AzAqvE98AijxPKx3TG8yyUYcddlmDXwNswacCsz%2Bn14bM5AbJk3lJAPJ%2BRj8fKaqYR4nnH%2F7c89hC%2BeXosPtyzDZ0%2BuxVuPyNlXM8pMxqw%2Bt2F231tNdeGjM%2FoR8AkEfAI2z%2B2DlWPvxFMLB%2BCDx6bh3YcJOPXeeqt3qbcJt4bPPDgISwbdgsvOOh7JrY40hcwYtV6GZPAfAf8Pldvxbwu4Gj%2FUEBIO8ISYlkiJPBKjut%2BIpcPvw5a5w02NxvKx92J0t8swgdl7Rv%2BbMXfwHVgx%2Fn48NncwNrEguGXeMDr4eDy%2FnC67fjbee2whvnxmLXY8%2FzCdfA0%2BenyFce9Ptq7GslE98OCgrlg5hhfP1H7YtmA44Z9OTWOGn8jocjcLmAPw0eaZdO8pRu89bCWw31k%2FCW9TW%2Bf2w9Tul6NdVjOkRhzJeEXAzb4L8FjCLfkBb8VjZbN3ndeD%2FKfoR8Ab6eCe9OsIUpT54Vbb8pcYF4mEqCa4%2BrwzsWz4A3iBhc2nF49hFOmNST2uwuQHrsGDzL3zqZUsYG6aO8SKkD%2FF6Z5dRideO8N0d%2F102wp89fx6bH92HWPLQgL%2BIC%2BCSVg4rBsemtQPTy4Yw8LpKDy%2FbBw%2BeWIhs%2FssRpo5WM%2FC4xOE99Mn5jGiTDV63xsa4DdMxRvrJzLH98SwO%2F6CdEaT1JgmiI3wO7iqCG01YZSqCFtHeIDLvXXsnEIgOpxSNeHhkrc8nfcfARfAYQDXq8zCKSrCTiPA42Lo7tGtUFtWwKgwFM8tn4nnV07Bi6snYka%2F6zG119UE%2FHYsHNEFqyf1INyDGSukIczPozn9RAv4o%2FPx4eNL8MUzq%2FHls2tN9eAb6%2BfS6Udiych7WUC9D2O6Xo5J912DZ3hh6En7F5aPNe9MeWbxCDw%2Bpz%2Fee3Q6PnDaMM0A%2Fg4Bf4u5%2FPkVI7Fu8r0Y1eU8ZMS3oHO3QGxUC3MXss3z0RTvSqbBJ9iKad8Z7r012OhfB3m4c3aoMsv8EfDvDnh8bDRatmiK5Ngo3HXJRdiycCaeWj4Dg%2B68EEO7%2FANT%2BxDw4bdj8cguWDelJ4FVPJGGeoBPYA6fbgDXgwufbFtOwNeYXK7o8sj0gZg3sDM2zhiEsczzPa%2F4Pab1vN48hT%2F%2Bnssx4IZzsYqF182z%2BuKLbQvx0WOz8eHGmfiQkL9H537r4UnYtnAQL6y%2BmDf4Rozp9g%2Bkxcm5WxoFAbdw1wVcLbc6bno9tntF9g8EcNWfH0BmmT8CHgRc9dwO7lDA9ZvvfkUTcEFuMnmM7ccRy9iSTRc8tUNbnFJdiBPLU9Hr5r9iUu9rMI8OvlQ1KDP6YjPhfnz%2BUDzOQqYAVw5%2FcdVU5vZpASd%2F97EFeHXdTLy4ciqeXTrZ9CBcMboH3lg3C88tnYgn6OrrJ%2FfBsNv%2BgQXM9mvG3oe1Y%2B7F9icXE%2FA5FKMLM%2Fp7dO831o3nRTQCayffg7H3XICZ%2Fa5BamxTQq3%2B3x7cBwU8VHXBPFwKd84alCA%2BkLTM%2F3XAnRzkDnh7cvk5C1gHAtzBYTopsVCWxEJabAve9o8%2BAse3KUDXq%2F%2BIkXdfiJkDbsLqyT2xUX1OPMCfWDCCgI%2FB00tsM%2F0LjDXPr5hshoL7lYdm4mUC%2F8Kq6aZV8%2BU1M3ghsFBpWjvn4ItnVxH28Vg7vgc2TO6NF5aMwWdbHsRHG%2Bcwosw0gKs25fU1Y%2FDUwv68C1yDwbedw9h0LZKijuJ2hwLOcgWztxTZmseC%2B%2FlDBjws1H5pmf9OwAMvQff%2B1soPp%2FzrakjBg2k7ToVCHhjXkHC7XzywoFvYHfC6IEyskeMrsrBQFtGKQ%2B5jbMsj0aEsHV2u%2FAP63nwu5g%2B%2FE%2BtY6HxMfbMZTSQ5%2BNYFo0xBUy6uwuYzSyfw73F4askEvPrQbLz2yDy8u2UJXnl4Lp4l%2BC8LekoPGr9OkF9fw8LjamZs5vG316nGZBoLlzMouvf6KXh91Ri8uGQwHpnUFVO6X4gZ%2Fa%2FB7CG3mEKxGqnMPnjSXUhSByt3LHSM7PHSsXNyx%2FBfoDDn1SnwaKBRs0bITivYWwjwZlKTOnKtl34dOuBcSR3Aw%2B3gd5B%2FXQ2p7jwW8oC8EyrpFcJOAch9gBsJCjqg%2FXUEqbWBIooQJLQ%2BEu2LknDf9X9F9%2Bv%2ByIjiAa4qQsK9ad4wbJkvwEeamKL6cOmpxbbn4NYFgn4SnXy2eanPK9RLdPPnCPkLq6dxfDpeXjcNb66ZhrfXsiApuB%2BaQqinGr1Lvb5qLJ5j9t48nfFl7O0YfOvZeGhmHyyf2gcJ0c3s9ofI7Iv64%2BhY0L2Dx%2BrfAPdBJFjNr8FxvDW3Jax4joOqC3gLAd6UYPvUTFCrCd%2Bn%2FyLAwytwID0dEHBBYdzOifGEBbFEAt6uIB69b70A3a48C9P638yI8gA2zBpAyIcYbRbk84abfivbFo6ykNO9H583ggXKIdg4bQie1EPGS5jBpw3F8hH3Y%2BWo7niM322eORTPLByNN1cTbgL%2BrgCn3iPk76ybhLfWTMLzCxmDZvXGI5O7YXL3izDojr9hHdc3efh9iI1qzm0P7oOD238X%2ByEDrrffRnqK4naacb3qgudYD6A0GnC6%2BOGLKP%2FFgNvbutSSWbwZkiKORJv8OPS48Tx0v%2FYcDLr9fCwbez9WT3oAj84eZPTYnMF4bPZgbJw1CBtmDDBN%2FM8zi68YdT%2FG3HkZel3yB3Q551T0%2BPvvcO9f%2Fg89%2F3EWel98NkbffDGmdL2augJPTB%2BAt1ZNxpurJlITqPF4ZdlIwj0MT80fZN4xvmjYrZjW73r86dQajOzbGX875zfM2XLwbwP4969W5skp271XMMfwWMdyO2N1zCmBHsFz3Lp5E7RiHP4R8AbkAA%2BATfnzdzjAAw4eqQPdDImRR6IqJxo9b%2Fo7Bt7%2BD9x92Rk%2BwAcaJ9%2FI4UYNqc1zhxoHf%2BPh2QbyrbNHYM2Q%2BzH%2B5kvQ6%2B9nYdCl56IHIR962Z8x4ELm%2BvN%2Fh77%2FOB2DrzkHD427H88soKMbDcEzDw6gBuLx2f2wbnIPjL3%2FCtxz7R%2BRFn0kUmKbIE7uTSD8cJv9%2BMEBznPGY9miNblp3YTb1JTb3YwwE%2B7I5oiLbol4FpSlWG67FMX5BLkBvRGAi8lQ%2FVcDbvI3T25duD2gefJVc%2BLkwLAwtDRP%2BAiKCJ6IeDp4WXYk7r3%2BL5ja5yZ0vuDXmN73Jiwc0RVrJumhhD7YMLMfh9T0vua9KGr40UMNaq3cOmcknpo5EpsnDsTCHndgtt5Ee%2Bc1mNn5Gsy682qMu%2B4fmHTTBeh7%2BVno%2FNefYUyXC0yX2Uen3IvN0%2B7j%2FL2xalw3RqNbMKzXLagpz2LBUo070bwAY7n9aq1Ui%2BwPFXCdKzLDY9ksoglaRB7NskETREc25T40MxdpPPcnIaolyxOCnE5Oc4nWS4s4v6Rzp1%2BpEOiCvGVzMiAGfQqFW%2FqfAdzv1n6wDwR4S%2FMukWa8bR6J4qxI9LrtAswgZN0uZcS45g%2BYNeAWLB19N4F%2BAOsZH9ZP74WHplFTe2PTnEHm9ccC%2FHkWMJ9bNBHbZo%2FCS4um4OnZY7B%2BVG%2BsHdodawbfh1l3X4%2B53W%2FAtPuuwsg7zsfQW%2F%2BCsV3Px5qxdzK398KGqfdg%2Bbi7MarHNbjm4rOQEN8UsXQ808%2FkPwVwOTehbh5xFFpGHsXtPdp0TU6M4h2SgCdGt6AIeIycvCUdvRXht1HFxJUfAa%2BvQwFcUAQAJyStCXmLJkfguDZ56Nf5EtOLsOfVv0fnf%2FwKQ%2B5Q3%2FDrsGL8PVg7tSf1ANZOeYCQ9zF15BtnDcbWBaNNw4%2FqvV9YORUvrpiG51jQ3DJrBB5jwfOxKYOxYVJ%2FPDq5LwubA7CN0eSFFWPw7BLm7gX98fic7lg%2B%2BjZM7HUVRvS8FsfUZCAm5miK%2BxGlBxlsZ6ofOuCtCHgrAt6a7h0T1YTxqjnSYlsgI641h60M5EkE20BOuC3g3Edue6R3HgM%2FaCvAxZ4Y9EufheiQAQ8sxPs7%2FI4duuqsqwGFm8%2BvbwO4AcJBQbXkZy04VOGtdfMj8MsTqzGg6%2BWY1vt6jLv3MnS98DTccxlzdOe%2FY%2F6w27FqUnfT%2BCM5wDfMpIsvGIXnVk3BS%2BtsnfeL62aZZzT15thti%2FQQ8jhCPRZPLRxtfr%2FnuWWjTN%2FwF1eMovv3w%2Bpxt2L%2B4OswpscVuPKvv%2BRt%2FEhuk8Tbd6SetRTc%2FwkRhQVFAh4T3QzJMS2QHd8aeQkRyE2INJAnMaokMaYEAFfDFbc%2FiufOuLf2gedTyzPnn%2BzJxf3y8%2Bh06ID7ZCrvtSMaHiYFLiC%2FQtdb5yDWlwWc0kES3ALWiFATAifn3A7u1vy%2BFYFp3pIxIDrSPARxxi86YWT36zGlF7Nz3xvQ%2B9qzcfvff4H7rjgDk3pdjcVju2HlpB5YNdk6%2BKMCfNYgbCHgz66ajBfWzcArG%2BbgdT3GtmE%2BXl4%2FBy%2BsnYnnV0%2FH83T2F1ZOwosr1Qw%2FigXTkYR%2BIB6dcR8WDrsO4%2B67EBO4zpK0ZohqeSS370huK3NppH7VWJCr92AI4G5fvi3gYc5F2Om%2BlXSumnKbmjKCtEAqY0gOoS6IjyTkkUiPk4M3NYAnMKrE0cmNe7PwLLj1i83afj%2FgzsVDFcpIo14bEW4nw30eOt8hixsamqUOBXDJubjkIHYQ%2BGEwQARgoIO3jkDTZizdx0QjjrfXu66%2FBCPvu9b0KJzR9zqM6noBHrj2LNx16W9w%2F9VnYVz3qzBz4G1YNPoerJooyFnYnNEfmxeMwFMrJuD5tdPx2qPz8M7mhabl8q1NC%2FHWY4vMu8Df3DCXw1l49aEpeI7O%2FfTSoXhs9gOYO%2BAaTOp%2BCab0vg7%2F75g8ZMXx9s4M26r10bwAedvnRahH7QS6WmGdtE%2BugSe4T40DPPQYN%2FY4h5OtNbFSBjeAE%2BA0AR4bQcCjjIOnxelh76N5d2qGeH5vCpiUqmkb3G6yZ7bPB7eJLyHTHTLg4RQ63yHrWwGuA9CwGgu4cQfup4YO8KOb8IDHxqEsPxtTh%2FfDqPuvYwa%2FHjP7XYfJPa%2FCkDvPQ%2FdrzkLXy36L7tf9ASPuuQxT%2B9%2BMxaO6EXLFlV54ZPYgbFsylk49Da%2F7AH9n0yK8Q8Df9l4j8eYjM%2FHqusl4Zpn6tAzCQ5O7YWy3f3A916DzhWci6agjkNCC0US%2FiEc3VHWbygkWcN6JfuCAa3tbE%2FC46ObGwbNjFVGikM2YkhrT3ACuO2Uco0o0t1UvDNXd157H8MuX1P1XBc9ANWLI9z9MwBup4A%2FVNiw9wVIfcEGgh4yD7wrRtPphWNV%2FR0bxth8Vg%2BSUdGSmZ%2BD3%2F3caHlkyF8PvvQazB92I2QNuMP3CR997CQbf%2BXf0ufkv6H7tH9HzhnMx7K7LML7HNZg16HYsHXe%2FeXnmJjX6rJmGNwT4lkV49%2FHFeHezlR6EeE35fI36eI%2FB1oUDsZHuPbnnxZjemxfRrZeiNiUKGdzfqKOPQmv9dmlrC09LORzjVGuVE3Shet2DAxdsmHN0KPJfKFJjl%2B0HvCXhbhXZlMe1GSFvgWTPyVMUS1RVyAtAjwuq5Vj132qrULQ055HDFlqeb9lOoYCH6r8OcMHqgLV%2FB09MOMCd9BRMTIz92e6ExEQkJqciL78QOVnZWDB3JnZ%2F%2FC7G970Ns4fehHlDbsaCoTdjzqCbMLXvtRjX40oMu%2Fti3H%2FN2YTctnSOuPtSTOlzo4F83fT%2B2LqYLk7IX1k%2Fy%2BjV9eqXIs3CS6un4OkljCaL1aelH%2BYOvh7DOp%2BLUV3%2Bgd%2FUlCJHrXlHHIFkXnTqANaCztbcAW7gptSP5jADrmWEHjv3d2PuCH7AWxDwlgS8FQGPZN6OpYxj83O9TSyacEfx7hSprM7Mrtc9ax0tzH4ceF0OZjfugJcaVcj8QQHu%2Ffqy%2BfXiANgCWg%2FUSno0S73oNNTJ9snrXRcEO4qFSEEdj%2Fj4BCQl6acB05CWlo7UVLp3ZjZOPPFEvPbSC%2Fjk3Tex%2BsGJmDPqLiwY1RlLRt2BxSNuxfxht2DO4Fswvf%2BNmNDzaoy59zLGlt%2Bjz03nYuz9V2Nqn5sxd2hXrJrUG6un9MEGvfBn7lBTu6L3rmxdNNr2RFw4hLm7N1ZNuAuD7%2FgL7r%2FubPTpfAnaFGQjmvEkkfsV0YwnXfuqE89CpnVw7r83lAIAHiLgmi8grscsj8v9roC3ZJmhJZ1akLcm5BFyc%2BXyVoKaItwRar5XbQsB128K2cKpVH%2FZoXKQ1wM8NOuavBsC1fcBuNapF%2BHX%2B87AzRNM1QdcUCt2RHFoIXcgxzJLJyYkIjk5BSkpqQGlMoYERKjT0jICKigoxIUXXYg3XnuVegnvvPoU5k3si%2BXT%2BmDJmK5YMvI25u3bqTuxaGRn8xjbwpFdMH94Z4yko9916Rm494rfY3jXyzCp142YM%2BROzBt2F5aOvZ%2FA98JqFkZXTeyBlRPu5zLuwJz%2B16DHVb%2FB7Rf8Er1u%2Fwf63n8TEmMiEUOgolu0JAQWMDVAOcAluVy42%2FehyAHsl4PbAO5dRN8acAc53bo1QW8dqQtI6%2BO4oPY6VbUi0JJ92sg9cSSFWb5vPBzcPwzAVXj0ubKRWZ8OoHUSAzs%2Ft9unAqj%2BdoDzdiy4WxLuVoI5BvFxiUhKTEY683MWI0ZOtn5MKs8oV8otQF5uPof5%2FC4fWZm5xq3T0zOR5knzFhcXYeCgAXj11Zfx0ovPYffOT%2FHSU49g1tgHsHxKL4J6F8G%2BA0tGd8YyjqvBZ%2BWE%2B8yzmotG3oUNswdj9D1X4eLfdsTVfziZsJ%2FF6HI5hna5mBHkIoxijBl9z6UcXowHrjkdN51zLG7%2F20kYzwLslCFd8Nuft0erpk1YAON%2Bcf91wszxIOAtCbjpEkwdTsAFblBhAPc%2BO3TABXdzLkt3B%2B4TJdCVpVu11DIFs6ZXIdoPuJV9ptRbvk%2F6%2BwcMuHXkuq6s22wwT%2Bs7OXJsbKzJyfHxihWJSEhIQmJiCpVqlJaahewswptjAc4zMBeY8WyBnk3QCXVOdgGBZ8bOLiTgBcjMykMGQU9Lz0ZqehaHGZwnB0uWLsIrr7yEt995C59%2F%2FjG%2B2fslNq9fjJWzR2LtTP0CQw88OrsPHpvbHw%2FP7IP103ubevB1U3th7bS%2BjCPDsJlxZMHIe1ggvQj3Xnk2rjzrRFx%2BZidc%2FfvjcNXvjsWVvzsG3S45FePvvhBrJt6DhWPuxtj%2Bt6IkhxcrywYRvKhbU614rNy5EDQONhnB4QK8rqzBuPU4uQgTfp6g%2FIA76cKU6lwsWh7hbqXzbubldJo2BG7JObVZvk%2F62wEeQTNw%2Bv4yuAHbqT7gAlvxQu8sEdCJLPilpaXRWdORkaEfYs007hyEVsBa5eUWBsC2KiTwhZxWkFNZnI5gC%2FDsLCsB7iDPyMzheDaqqqqwefNjBvB33n0Hn37%2BGfbs%2Bxoff%2FgGntiwDMunD8amRcOwbfFQZmjm6vmDsXnOAPOs5jqCvmLSA1gyrgeWju%2BJZYwjK5nBH5o5COtmDMSKCT2wfNy9WDG2G6G%2BH4%2FN6o0tnHfV%2BLuxYFw3rF4wAqV5cchKS0UcIVftyb8fcCu3HqfGwC2Fwi05wHUH8C%2Fv3wq428Bvq3DLalBcuYW6OZo0UfdJdXSK4AnUlR2BrOxsZOWEUw6Va5STS7ClPDp0HRFoKbfIKk%2FDYmQL6JyiOsri95n8PIvg%2BwHXLxufePJJeOW1l%2FH%2BB%2B%2FivfffxaeffYK9%2B3Zj%2F%2F7d2P7FR9i8cT02rZyIp1aOwdPLRkMv4Nw6fxg2zhuMRwn7xgeH4dF5Q%2FHI3CF4ePYQbOBQBUxVG26aPxRb5utBCb04aCA2ze6PZQ8OwNKFY1igfRmrFy9AdmoayvTz4elp5iFoP%2BBSABCf3Gehakyk%2BHdK26Sh4A7dVvvsqLsIrELnDycHuF9hqwkPVWFBbkge4HJrxQ05s3Fjk5UFcDi4pSDg2YRbylGWJtiSqvZy84s4Tocm1EGVEmhBXuJJ4xZwI2VxQc67QSa3Izs3F3869894%2BdWXCPh7Rh99%2FAF2fv0VvvlmL4D9%2BOrLz%2FH81mXYvHKcaa3Us5jbHhyJzQRdv6sjwKXH6MZbFo%2FB1qVj8SSneWq51dPLOc%2Fyieblns%2BvnITHH5uBLz57GV9%2B%2Bi7mTJ%2BOfG5HAWOSIE9NTOAJ0%2FEKHu%2F6YDSsHxrgtozVEOCS9i%2F4Xf356%2BsHC3hWZhaKCgmh4MpgPFBE4MnNIuwHUjbjh5RDGccm3AI8L5%2FLomvnEFwLd4kBPCfHJ%2FMZQXcy7l5oHFzrzs0vwE233Iw33nrduPf71EcffYDt27%2Bgg%2B%2FFP%2F%2B5H9%2Fs38eC51t45ZlV2LpmOrYtm4ynlk7C1kXjsGXRGDz2IMFeNApPCv7Vk%2FHcmql4Yd1MPE89y%2BmfXT0Dz62dhXe3rsSet7bin3vewM7tb2H7Z%2B%2Bjf%2B%2FeKCsqQWFeHorz88wwLSUFeqdia5VNvFu6xuuCEV4%2FPMAt3IGootqZcHL7YGKMhdip3vL42Q8OcNVd5%2BbpF4UZFbIYDwzggky%2FMEyAD6AcZmsnxZA8OndeQSGXVWL%2BFrA5dOoA4LllIaKr53nyIku61i%2FnLCzCPffdiw%2Fp2u%2B99w7epT786H1s%2F%2BoL7Nu%2Fx7j4fuPkO7Fnx7t45an1eHzlHLzw0EI8sWQ8Hl8yFpsWjsIT%2BsUHtVKum4bnH5qBbSun4Ln1c%2FHSowvx%2FjMPY%2Fe7L%2BCbr96j3sHeXe9g14738fkn7%2BGyiy9ESWEhinihFRXkm2Ex%2Fy7gsUpNTkEMyyb6WRLViwcgOIB%2BkID7ts9fU%2BNX4AcM1GDnA%2FcHC7gOtJ6Va6XmVwLemidJcCteCOoMr7CnuGAc2nPWcDIurXydV2xcW4DnFxQjv1CAe9MYwAU3Ic4uM8rJKQ9CTrjNdwHA7cVVVFyCXn1647MvPjXx5J133zIRRYDv3bubkO%2FGN6CTYw8h34P9uz7HOy89gzXzZ2Dj8kl4dNkEPLx4LB5bMRnbHpqFpx%2BZh6c3LMDzm5bjo9fk1p8A%2F9yBf%2B7fgT1ffMC%2FP8fe3Z9i186PWYh9Gz%2F%2F6U%2BQy3JIEY%2BNVMg7kxEv4EJefLmMZimpBD0mhgDUhdzkcRcBeLxtPv%2FPBFwy34cB3F9laJbn%2B97p3w84D7wDXDUlOcy6BUWEksqiE5sCn2QAF6QWPL8UO3Lz5MqEmoDm5UslxrkLCkvNBSPAjbvL2TlNbp7A9uCmcnMr%2BJlUZr8zLl%2FMiKI7Bx2zpBQjR47E5198ZqLJ2%2B%2B8iU8%2B%2BSgAuLL4P7HPDLt0vQM%2FPeUEXHH5hZzuFXz%2B5fvY8sRDWLd%2BCZ7Y%2BjBeefVZRptPzR1A8eabb%2FaZiKP5v%2FmGF8u%2BXdi%2Fdxf27tmBr776FI8%2FsYkQszxBty7iBRsQY1yhJ92pcvJsWSE1Lc3UOLkfmDJw8%2BR%2Bl1%2BM%2FneoMYCrT4rtMmsBV82IgzfUxRVj3LRO%2F17AW%2BgXsJpww1tDP5Sv%2Fh9FJWUooFvmlxAwnsRsurGk8RxCmyt4BXGI8gvKjAoKy71xfWYBz%2BPQ5nBFF1485vtyfleNgoJq5OdXcRmV9QDXRaM7SDYLrSWlZZg4cSJ27dqJTz792Dj4pxw6wAXpe%2B%2B%2Fg5N%2FchLnzeIyczh%2FJqprynHNNVegf%2F%2FemDV7GiZOGovRY4ajX%2F9ehPdzA7iizTcEHLwHaDn79u0x%2BvjjD7n8zzFkyCAujwXezEzGlBIjP%2BAyhFwCnstsnstsLshT0lIRFR1F2R6FBvCQWpcfmv77AJe4gWqwUWtkalq6B7hVHuHMJai5BDInn38Tyvz8Sp8qKH1mVVBQEVShk0Am5Lw4rKtz2fy%2BsKiKcNQYCfDg8uwwj5Dn88Ip4vwlJRVUGUaMGIHPPvskALjGBfiePbvovt%2Fg888%2FxcxZ0%2FGrX%2F0S7dq15Z0h20BZWVnF8VxUV9WivKzC1NfLkXv17umBzXRihiyo%2FnMv9tLBd%2Bz4wixfMeiMM05HaWkpSnkXKSLcxrV50RZyv7RvBUXcP36mgrCtSZKT5%2FDOkx2QXgdtq2Hl5mpb%2BOFFFKnhWhTKB6qD%2BgcPeCQPfPPmLZCUlEIQqlFRSehKyo3yi%2BimBDJPjksg84uqA1Ba6W%2BBGl4FhZUe4NbRC3iBFBJ68z2X5xy8oIDjVH6B78JhHi%2FgRVVcVEmwKlFWWo4JEybg66934DOCLLcW0AJcrq5oQkwNrAL%2B448%2Fxssvv0LQ25uLI5%2FlgZrqdigrq2buz0Pbtm1x2q%2F%2Fn7kLaH65tyLKfkaUvfu%2BxhdffoLde77G2rWrUVtbw%2Fm0LXTtIrq3alMc3J7yCL5iioXcAU4xt0vJycmmkczfszLcOfu%2B9cMAXAtqhMIBbWtLnOxzhAmJSSgvr0RVdRsCXosSQlBUQugIVz4hzResxQS6uJaFvTZUWzPU34VF%2FJzgF4RRYTFBpvIIty4SLU8qLNZ3nEaAU%2FlGBFwi5Hl0eHdHKOb8paVVBKySEWM2Qd6JTz9Tfv7QgL79q%2B0EUhHjG%2BzZu8c4uf59vWsX8%2FqXOPEkFg5ZYC4prSCo7bmsStzfvSdefuUV495fbv%2BC0%2B7gOOFmQVVw79j5Bb744hNzAZ133t9QWcX1l%2BuuEx7wfOPgAlwuroJ2PmOS5%2BSmnSCbZYkMJKekIDYuzvSiVJ9q4%2BKqXuR4w9L3B1dYTg6q8Ms6mASuUwS337yGz%2FvuYGo04GHhbYw8sK1a8YAnoJjuWF3bDuUVdKryGpSW1aCoVOA6pybIgrukDadt74mQ829J3%2BkCKOD0dUQ45fx5cnGOOxnAS3QR2Oks4A5yAk6XzxfcJTUEU9tTjdLyKsyd%2FyA%2B%2BPBD00T%2FyWefmeH2HV9hjwAn2vv%2FSQ%2F%2B5hvs3b%2Bf498YdTr%2BeANmeQXvBIS0e8%2Be5gJg2uZ%2FTbcPe1Ww9AqXu3ezYLnjc3z55ad46qltxr2rqnlcKrjtjCEOcD%2FcToLcllXUyBWE3ACelYl0Qi4pn8fFx9uCqOrQD6CwThoigROWk4NI8x3KslRbEurMcvfQZbnGI7%2F%2BtYCbfiYCXFWCUis6TB6hlkNVE4JaDunghEpwFcmhCXdRkWBua8AuKTvGkyBvVw90Jwsusy%2BztGA2F4y5C3ji8gMXQgByC3i%2BXJ4XhrahtEzbQxeng2%2FY%2BBi%2B2qmI8jnhtmoIcGnXnj2ooPvmFeSjbfv2ZvzLr74y8%2BzdT8c2cDNzK5bs32UA3%2Fn1lxbw7Z%2BycDnQZG8BXlGlu03jAJeL664hyK2L5yIzK8t0N3BKzyDodHS1GrunmMIpFJpw%2Bj4AN0D7FbIc6XsA3MHdyqhly0g6ZUkA7vKKtgaoYjm1oGUMKS5uxwwrmAV1B7pgJ08dzd%2FFZQS8tC7gDlg3dFC7C8HJub6myWMGz1MGV25XAZQqotOXlbcxgBezTPDMc8%2Fjw48%2FwudfMkJsJ4iEfTdjiZxagJsUTcClPfv2EebtXJatvquorMTosWM89%2F6nmW%2Fvfk8e4F%2Fv2k64eWf47AO8%2F8GbLKz%2BgvtebAqphcUEu7jUDCU%2F2H7ApVzTBqCqU8UVVa0WICtb9fnqU6O4IhHydPV3TzMd1xqCPBw4ofp3Ay6FzhdOhw74oYpZyQHekmrdKsq4kGKJQCorJ%2BAerFZtCZZcWs7dwQP8WF4Ix%2FKW3ZEi9OXhXdwPufvMTsMh3byoVLFG33vZ23Nw%2FS0Jbsk5uAB%2F7Y038RELj19u346du742EPvh9gOuzydMnMj1FqG8kvm5uBhPbNvmgb3PDPfs2%2B1pl6k52bV7O5f9CSH%2FFNOmT%2BT6C0zhsrSsnMemkvtfEYD82wBuIFf3YEYW9dkR6OodqRoeSaALchVC1VCk6lr3E4PhwAnVfxTg4Sb8rlKDg3kynSV3m731ebSpflOtQkmp5MUSD9ICglhIwIsUQxhHBHdZ%2BTGEhYAbdaSOIeR0cQ9wB7KkGpec%2FAof4Fq2wHYKAm4hD7q3H%2FBixhtdgLrtv%2Fv%2BB8bBFTME9zdeJJH8kEtf796FY47VXYYRo0Z3kSJMmjLZuzD2Mr7spujae77mcKdx8F108C%2B3f0yP34e%2F%2FPUPLFyWo6KigsemjCrn9h%2FEwU1hujQAuBWBF%2BhqJCPkplMaY6HyeRajiuQHXUpNTfVaRO2r6w6mwwl4YxWujtwvN13oth1hX3RzYJmF6E1JB5GZVuO8%2FUk6YK6KSn1MKlSgpDsKcIEkoBzc%2BVSBwFXWLqd7l7dHKWEW1BVVHQNygPvhFuwCOyevIcC5PqqwxNay2NoVC7arYXGAF%2FI7xaeTTv4Z4dxt4okkgPd9s79BwF946UWuo4T7VRIA%2FK5ud3O%2B3fwWxsF3Ee6du3dyubpgCLpx8I%2Fx%2Busvoaa2IgC4HFxwHwxwVaka1QHc1azIyV09uQU8l%2FlcUjWig91J0cVCXh%2BuUP1HAW5%2BrMkn824N85YkK%2FObNZ7Mz18fQGa66OAT6%2BrXrc5U8QmJPGnVPHltUM5CZalxb8HETKxcLEAZVQrp3kXK2QS8mICXEGYBLcidSvm5AZrzBSCX%2B%2FPvXNVnq8qQoEoqWFrAGTm4fgO4qiMN5HVlMrjGCysM4H%2F52%2FmMEftNAXHH1zuN5MSSIoeD3Wbyf2Le%2FPnc1nJuI0Gt1p2iEJdcdqmZXoDv2UfA97JQScB3fP0V4d5hMvj2rz5F9x73MrOXUg5w1egIchaYGwKcUU9VoVIo4AZy9dHJF%2BSqXbFS07%2F6sKgRSspmdHFSY1RaarophOqtA7b%2Fir0T1xMLeX6IGqvvBfDoaL0uoa5i%2BVlA%2Fs9jow%2BsuBjExOpJ9WiT61TnrQeA01nIqahsS3AIOFVW5gFe6NVqFNORBTezdxBwK7m4IDeqlLO3M0D7s7ZAVs2JakMC1YOCVncJOrcF3Dq6PjN14h7YgajCPC4Hz8sv47a2wR13diXA%2FzRgq3BpCph75MK7vTxtQVcEEej3db%2FfwF1RVUnAtdxCXHDRRSabS5p%2Btwf4VwR859c7TGPRp59%2BiJ%2BcciLatGXBu5wXSLkAr%2BTdgPlbDWBhMnigRoVwS3XhVguuG1dXheCDIHkaGtDtuGT632cLejq9CqaZ1s31FJXL5fX1HwR4jAdmnBP%2FjiPMdaTP%2FNMcRLG81cXExBLyaEIezRI844kHuKoFVe%2Bt%2FG0cPATwYgP4MWEAZ%2F6mgyu6%2BAE3BUnmazm1gVfL9QBWnbhgNxHFq2s304UFnFBxXjm4AB82fDSB3meAFsSSzdFWfsgFuB6OkIO3bd%2BOkGu5BQZwOb0ANwVNFjB37rKAq7FHgL%2F73luoqalCdTWjkQG80gBeEoBcLh6EW84dBNzKwqzuwup34wDX3x7gHGo831NBQVFADnr3ULZ19GzzWGDDkP%2BwATcPMHs6QkDGx8ciXsPYukogqEYaj4tthOKpOMTHxBPyODp5HOISks3JCMCtargyW7sRcGABXiJnZiwx1YO2StAVNI0qVMhUbcoxBmpB7sAu9ob%2BcQeva%2Bgx36lKknLrVuunWjFz1VeFDq4aHRV%2BFVEeXLDYAG4cfId1cBtVLOgOcA313Uk%2FOdmAXcV4IgdXBn%2Bgdy%2Fs269egyDgtp5c8%2B8k3HJzdcVdunwJ96uMub2KQyu1EwQAL63kvsrJCXpRiNRHhVLvSSuN27%2FVhC%2Bog%2BBbR9d36qxlxHml%2FEJOY5r9Nb0cPo8XQr6pk9dFJ9BVjvq2gPsBdQoHp%2F%2FNv99FoY1B0hGCOyEhDgkaeqB%2BV8DjCHecII9NMA8QqMXSAV7iQVbs6rINbEHAi0ro3F4deCjgUinH%2FYBrWbpgHLxSaUVbOr1aQe00gQvB%2Bz4c4HLwUi5HgNe26YiHH9nIAqKAtPn7q512KCdXgVOFR4GuGpZnnnuW6yox2Vtwq5BZSjAWL11inNsCrjjDiGLm32lqUzS8%2FsbrUV3Lwrfc2wFewYvNQM5oxaEgV1ypo2LKNOEHIZXcuAPc9Y9XBy2X51V4LdadQY1IvDuoZVl%2Fq%2BZG1ZQlLCgL7spKxi0qJyeHcPqdvD7g%2Fp6BB9L3BniiFO%2BJsDak8GA7WcBj6dwxUbxQ5N48sOVVtTxpBJyyDt6WB9VV9bXlNHZYWEzIiwW5GnqsHOiS%2B8xeFJLn2gZcjSuKVDPKMA5VtuO6PNAFtZnOv14LuIkoasmkgyuilHHadu074dXX3yLAqt6zrusA17hfagCaPmOGaR5XLKmuqTF9SSqYx1944QWT29V3RU6vC8JeHNLXpgAbzO0shFfVcL5afqZGMN3tuM0hgBcTbCcHuIE84OLWjZ1bC3Dr%2BLwLUEXFLMByeaY7gif9rbuFVMV1Z2XlEvBy0xlOUuex6KgYgh2E3NWO1XHq0MfMwigcmP9KhQXcAdt4sK3i9Qo0Aq6DER0di8ysHEIt4AgOc61kABd4Za7Bph3BEGxt6D6EvIhZ3Dh53QYfjeszqQ7ghLLYwCvZQmV5FQGvasf5gs5u3J7rCwe44kwRo4ytA6%2FFsZ1OxGefb8eevTaDW5jrwi3gJbVe3nbHHXQ%2F5WMCTjeuIeSqDXnvvfewm06%2FZ68FXJLzS1rek08%2FxfWVE2zBrZ6VtRZwtfKaOFfDY6WL1gOwxMp25%2BU43beOiwtuEzMoQq7PFG3MhVGiMoatotU%2BujuquavKGLg8e1fQQyEFBLsGVbzgJAEew7vyAQEn2MaRTXWx%2FTtU%2Bj7cjw80JPMu9zDQfhsdodoPk8EFupMP2sbA7ea3L%2BOJNwcjMTmFJ4W3PAO3HLytUWmFnFXwCVa5dluCYeHO91RAyPW5c%2ByAewt6D3BbTRgEvMTAYEGXg5f5HNyAbmJKsPXTwO0KmXTw%2FELrcCV0sxNPOoWRQlWAez0Yg2AH5aLLDpx51u9QUytQSjmsQZs2bcyt%2FcMPPsQexhz1OnSA644gKapMmz4dNZy2wnQbDgKuQm6gzEKDkItblw06rXorFgtek80VQYJZ2gJeZL7T%2FqhlVhBLKuCri0RVNeMfj4tkC%2F08BiywCm5BXlPdBtWEW1Kf9ri4hADcDTm4P3bY9hA7DP7wQCtER7Y%2BqOpB%2Fh10RLSq%2F1Tz4dWAGFAFrU%2FhoHYKwh1reqxJqvdWBizjSQu4N8Euq2hP2VoRdZyysYRAF7Yzyi9oy5PThkMCT0d3ju1AdzKAm1qUIOClBgYruz5dUITc5HFeLDyRQbjVrO%2BDm2DrcTXbT6YKPznlZyY3y70FooN6p8S%2F%2FVLcUA%2FC2ja1xrklwX3SSSfhy8%2B%2FIOC7sZcXyh5C7SCXVLNyZ5fOqG2r2iWbvf2A21qnIOAmpgQgt3KxRbUsBYLcuLgtTKorreBWq6y5IwQcm8vmcamt7USwBTiPE4dydz3RVMwIU13d1jys4QCv4jlU%2F337DkgP7DCAO5eW3Ftu9evR7pc0BG9MVIRRbKSV%2B9svN30d%2BaBvUGHmCw94vIZ%2BhYdbCsIdi1jCLSWnpxMoZstqwSb3DgKuhhrJAW4iRxGh9WQcXFHF%2B67RgDuwnUIAtzU39QE31YU8qXrMLZ%2BAtGnXHj%2F%2F5anEGwZeQR0A3APaL9WklJbT8ejgDnAV0s455xzsJdQCXDFlFwuYml7uLcB1Af3qtNMYaRTbKgl4XQdvCHC%2F3IMipipRVYimilBSYVN9frRMuyypkrGtgne26uqOvMscZwAvJeBydEU0PSxSyelrCHiVAdxCrhy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diff --git a/install_pyaudio.sh b/install_pyaudio.sh new file mode 100644 index 0000000..928b2d0 --- /dev/null +++ b/install_pyaudio.sh @@ -0,0 +1,5 @@ +wget http://www.portaudio.com/archives/pa_stable_v190600_20161030.tgz +tar -zxvf pa_stable_v190600_20161030.tgz +cd portaudio/ +./configure && make && sudo make install +pip install pyaudio diff --git a/pa_stable_v190600_20161030.tgz b/pa_stable_v190600_20161030.tgz new file mode 100644 index 0000000000000000000000000000000000000000..7d918d672d4c05ac442cd39de507a757ec4fa103 GIT binary patch literal 1450572 zcmV(`K-0e;iwFRCOBGlE1MEC&Z{o<7{W-s)mTqatr~^ql>6x9Ymezoicp5Mln@;*_ zB+D2B?ikzGHhJtQ|9#J?hh2U^NQddwY6mF<*Qq*n-gWA@>?n*=dp+~Q_M5-#a}1wf z&d=HZk7xYA`n?C=~_5YR_ zZc5UnOJ?reUi>x=Z`c3*-013y5PUE{WVQ@}WZ*{FD*^y2J@%w`H%>(24yyN!+w` z@H0u>hx8LR9vr+S>O#SbTn zvbOx^Jk2_Mv+wMzS^P+WQ2uikK8T+y_5-NtagG=>>C#Tgz32Oa6)K|cxPP&g*u)Q* zNZio>gmT2$+Q^Xb`3@@a4$U z?D&ytD_MqXe+D{43nHs<=FL5KhK$ZUhj)aFaF*s5(QGbV1dIIQTO?iF+jseeZ;Rhx 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zQiRl7_px~e9BS>&2T?HNDY_*cAKXKyHRGaUM@JXbgo0f4ZPRHaCuC9Ln%>tpPSL9r kt8OJR;IRMqP;$9aQ4ur|dRV>-lwP6jTm8KL_6UyuAEv*hoB#j- literal 0 HcmV?d00001 diff --git a/utils/audio2text.py b/utils/audio2text.py index b5c1396..cdfa617 100644 --- a/utils/audio2text.py +++ b/utils/audio2text.py @@ -19,9 +19,14 @@ def audio2text(fin): ) resp_data = resp.json() prompt_text = resp_data["text"] + f.close() return prompt_text def audio2text_test(fin): import time time.sleep(2) - return 'audio2text 测试结果' \ No newline at end of file + return 'audio2text 测试结果' + +if __name__ == '__main__': + r = audio2text('records/6f64cd30-bdb6-4705-b2fb-e9207149825b_input_audio.mp3') + print(r) \ No newline at end of file diff --git a/utils/audio_improve.py b/utils/audio_improve.py deleted file mode 100644 index 2f8ff43..0000000 --- a/utils/audio_improve.py +++ /dev/null @@ -1,24 +0,0 @@ -import av -import numpy as np -import pydub - -def process_audio(frame: av.AudioFrame) -> av.AudioFrame: - raw_samples = frame.to_ndarray() - sound = pydub.AudioSegment( - data=raw_samples.tobytes(), - sample_width=frame.format.bytes, - frame_rate=frame.sample_rate, - channels=len(frame.layout.channels), - ) - - sound = sound.apply_gain(1.0) - - # Ref: https://github.com/jiaaro/pydub/blob/master/API.markdown#audiosegmentget_array_of_samples # noqa - channel_sounds = sound.split_to_mono() - channel_samples = [s.get_array_of_samples() for s in channel_sounds] - new_samples: np.ndarray = np.array(channel_samples).T - new_samples = new_samples.reshape(raw_samples.shape) - - new_frame = av.AudioFrame.from_ndarray(new_samples, layout=frame.layout.name) - new_frame.sample_rate = frame.sample_rate - return new_frame \ No newline at end of file diff --git a/utils/extracte_img.py b/utils/extracte_img.py index d8d7dd8..3832406 100644 --- a/utils/extracte_img.py +++ b/utils/extracte_img.py @@ -3,8 +3,6 @@ import requests def get_main_img(video_file): - import time - time.sleep(5) # resp = requests.post( # 'http://192.168.80.29:8789/asr', # data=input_data, diff --git a/utils/get_gpt4v_response.py b/utils/get_gpt4v_response.py index 6fb4959..468bbfb 100644 --- a/utils/get_gpt4v_response.py +++ b/utils/get_gpt4v_response.py @@ -2,18 +2,43 @@ import json import requests +URL='http://192.168.77.1:8000/main/' +def img2base64(imgs): + base64_imgs = [] + if isinstance(imgs,list): + for img in imgs: + with open(img,'rb') as f: + img_b64 = base64.b64encode(f.read()).decode() + base64_imgs.append(img_b64) + return base64_imgs + else: + with open(imgs,'rb') as f: + img_b64 = base64.b64encode(f.read()).decode() + base64_imgs.append(img_b64) + return base64_imgs + def gpt4v(query,imgs=None): - import time - time.sleep(2) - # resp = requests.post( - # 'http://192.168.80.29:8789/asr', - # data=input_data, - # headers={"Content-Type": "application/json"} - # ) - # resp_data = resp.json() - # prompt_text = resp_data["text"] + imgs = img2base64(imgs) + input_data = { + 'query':query, + 'base64_images':imgs + } + api_url = 'http://192.168.77.1:8000/main/' + resp = requests.post( + api_url, + headers={ + 'Content-Type':'application/x-www-form-urlencoded', + 'accept':'application/json' + }, + data=input_data, + ) + resp_data = resp.json() + prompt_text = resp_data["response"] send = { - 'text':'这是一个测试!', - 'imgs':'./source/1702803359034.png' + 'text':prompt_text } - return send \ No newline at end of file + return send + +if __name__ == '__main__': + r = gpt4v(query='第二张图和第一张图片有什么内容?',imgs=['../source/1702803312680.png','../source/1702803359034.png']) + print(r) \ No newline at end of file diff --git a/utils/record_video.py b/utils/record_video.py new file mode 100644 index 0000000..dad0ae5 --- /dev/null +++ b/utils/record_video.py @@ -0,0 +1,83 @@ +import av +import pydub +import numpy as np +from aiortc.contrib.media import MediaRecorder +from streamlit_webrtc import WebRtcMode, webrtc_streamer +from streamlit_mic_recorder import mic_recorder,speech_to_text + +def process_audio(frame: av.AudioFrame) -> av.AudioFrame: + raw_samples = frame.to_ndarray() + sound = pydub.AudioSegment( + data=raw_samples.tobytes(), + sample_width=frame.format.bytes, + frame_rate=frame.sample_rate, + channels=len(frame.layout.channels), + ) + sound = sound.apply_gain(0) + # Ref: https://github.com/jiaaro/pydub/blob/master/API.markdown#audiosegmentget_array_of_samples # noqa + channel_sounds = sound.split_to_mono() + channel_samples = [s.get_array_of_samples() for s in channel_sounds] + new_samples: np.ndarray = np.array(channel_samples).T + new_samples = new_samples.reshape(raw_samples.shape) + new_frame = av.AudioFrame.from_ndarray(new_samples, layout=frame.layout.name) + new_frame.sample_rate = frame.sample_rate + return new_frame + +def record_video(video_save_path,audio_save_path): + """ + 该方法位录制视频和声音,单独提取声音 + """ + def in_recorder_factory_video() -> MediaRecorder: + video_file = MediaRecorder(str(video_save_path), format="mp4") + return video_file + def in_recorder_factory_audio() -> MediaRecorder: + audio_file = MediaRecorder(str(audio_save_path), format="mp3") + return audio_file + webrtc_streamer( + key="video_record", + mode=WebRtcMode.SENDRECV, + media_stream_constraints={ + "video": True, + "audio": True, + }, + audio_frame_callback=process_audio, + in_recorder_factory=in_recorder_factory_video, + out_recorder_factory=in_recorder_factory_audio, + async_processing=True + ) + return video_save_path,audio_save_path + +def record_audio(): + audio=mic_recorder( + start_prompt="开始录音", + stop_prompt="录音结束", + just_once=False, + use_container_width=False, + callback=None, + args=(), + kwargs={}, + key='audio_record' + ) + return audio + +def audio2text(language): + text=speech_to_text( + language=language, + start_prompt="Start recording", + stop_prompt="Stop recording", + just_once=False, + use_container_width=False, + callback=None, + args=(), + kwargs={}, + key='speech2text' + ) + print(text) + return text + +if __name__ == '__main__': + import streamlit as st + st.info('test') + audio = record_audio() + if audio: + st.audio(audio['bytes']) \ No newline at end of file diff --git a/utils/rv.py b/utils/rv.py new file mode 100644 index 0000000..36c175d --- /dev/null +++ b/utils/rv.py @@ -0,0 +1,45 @@ + +import numpy as np +import cv2 # OpenCV is used only for writing text on image (for testing). +import av +import io +import streamlit as st +n_frmaes = 100 # Select number of frames (for testing). +width, height, fps = 192, 108, 10 # Select video resolution and framerate. +output_memory_file = io.BytesIO() # Create BytesIO "in memory file". +output = av.open(output_memory_file, 'w', format="mp4") # Open "in memory file" as MP4 video output +stream = output.add_stream('h264', str(fps)) # Add H.264 video stream to the MP4 container, with framerate = fps. +stream.width = width # Set frame width +stream.height = height # Set frame height +#stream.pix_fmt = 'yuv444p' # Select yuv444p pixel format (better quality than default yuv420p). +stream.pix_fmt = 'yuv420p' # Select yuv420p pixel format for wider compatibility. +stream.options = {'crf': '17'} # Select low crf for high quality (the price is larger file size). +def make_sample_image(i): + """ Build synthetic "raw BGR" image for testing """ + p = width//60 + img = np.full((height, width, 3), 60, np.uint8) + cv2.putText(img, str(i+1), (width//2-p*10*len(str(i+1)), height//2+p*10), cv2.FONT_HERSHEY_DUPLEX, p, (255, 30, 30), p*2) # Blue number + return img +# Iterate the created images, encode and write to MP4 memory file. +for i in range(n_frmaes): + img = make_sample_image(i) # Create OpenCV image for testing (resolution 192x108, pixel format BGR). + frame = av.VideoFrame.from_ndarray(img, format='bgr24') # Convert image from NumPy Array to frame. + packet = stream.encode(frame) # Encode video frame + output.mux(packet) # "Mux" the encoded frame (add the encoded frame to MP4 file). +# Flush the encoder +packet = stream.encode(None) +output.mux(packet) +output.close() +output_memory_file.seek(0) # Seek to the beginning of the BytesIO. +#video_bytes = output_memory_file.read() # Convert BytesIO to bytes array +#st.video(video_bytes) +st.video(output_memory_file) # Streamlit supports BytesIO object - we don't have to convert it to bytes array. +# Write BytesIO from RAM to file, for testing: +#with open("output.mp4", "wb") as f: +# f.write(output_memory_file.getbuffer()) +#video_file = open('output.mp4', 'rb') +#video_bytes = video_file.read() +#st.video(video_bytes) +img = st.camera_input('test',label_visibility='hidden') +if img: + st.image(img) \ No newline at end of file diff --git a/utils/text2audio.py b/utils/text2audio.py index 5a12429..4447a64 100644 --- a/utils/text2audio.py +++ b/utils/text2audio.py @@ -1,15 +1,24 @@ import base64 import json import requests +import numpy as np def text2audio(text,): - import time - time.sleep(2) - # resp = requests.post( - # 'http://192.168.80.29:8789/asr', - # data=input_data, - # headers={"Content-Type": "application/json"} - # ) - # resp_data = resp.json() - # prompt_text = resp_data["text"] - return './source/test.m4a' \ No newline at end of file + headers = { + 'accept': 'application/json', + 'Content-Type': 'application/x-www-form-urlencoded', + } + data = { + 'prompt': text, + } + response = requests.post('http://192.168.81.12:6679/tts/', headers=headers, data=data) + res = response.json() + audio_array = np.frombuffer(base64.b64decode(res[0]),np.float32) + rate = res[1] + return audio_array,rate + + +if __name__ == '__main__': + a,r = text2audio('你好') + print(a) + print(r) \ No newline at end of file From 66bd50b0d97ede68a5be503293768445512ac89a Mon Sep 17 00:00:00 2001 From: wzw Date: Mon, 25 Dec 2023 15:08:46 +0800 Subject: [PATCH 4/9] up --- chat.py | 138 ++++++++++++++++------------ curl.sh | 1 - micro.py | 0 pa_stable_v190600_20161030.tgz | Bin 1450572 -> 0 bytes pages/audio_t.py | 41 +++++---- pages/chat_with_gpt.py | 44 +++++++++ pages/record.py | 101 +++++++++++++-------- pages/text2audio_autoplay.py | 3 + utils/audio2text.py | 26 +++++- utils/extracte_img.py | 4 +- utils/get_gpt4v_response.py | 25 ++++-- utils/record_video.py | 158 ++++++++++++++++----------------- utils/test_opencv2.py | 97 ++++++++++++++++++++ utils/text2audio.py | 8 +- 14 files changed, 442 insertions(+), 204 deletions(-) delete mode 100644 curl.sh create mode 100644 micro.py delete mode 100644 pa_stable_v190600_20161030.tgz create mode 100644 pages/chat_with_gpt.py create mode 100644 pages/text2audio_autoplay.py create mode 100644 utils/test_opencv2.py diff --git a/chat.py b/chat.py index c3b8c23..15d563a 100644 --- a/chat.py +++ b/chat.py @@ -1,11 +1,12 @@ import uuid import streamlit as st from pathlib import Path -from utils.audio2text import audio2text +from utils.audio2text import audio2text_from_bytes from utils.extracte_img import get_main_img from utils.get_gpt4v_response import gpt4v from utils.text2audio import text2audio -from utils.record_video import record_video +from utils.record_video import record +import base64 st.title("Gemini-like对话测试") RECORD_DIR = Path("./records") @@ -20,65 +21,92 @@ img={'assistant':'./source/bot.png','user':None} # 录制视频语音 -r_video_file, r_audio_file = record_video(in_file_video,in_file_audio) +# r_video_file = record_video(in_file_video) # @st.cache_data(show_spinner=False) -def preocess_video(v_file,a_file): - imgs = None - input_text_from_audio=None - if a_file.exists(): - with st.status('处理录入的视频中...',state='running',expanded=True) as status: - st.write('抽取关键帧...') - imgs = get_main_img(v_file) - cls = st.columns(len(imgs)) - for idx,cl in enumerate(cls): - cl.image(imgs[idx]) - st.write('音频转文本...') - st.info(f'缓存好的音频:{a_file}') - st.audio(str(a_file)) - input_text_from_audio = audio2text(str(a_file)) - st.info('audio2text:') - st.text(input_text_from_audio) - status.update(label="录入视频文件处理完成", state="complete", expanded=False) - return imgs,input_text_from_audio - -imgs,input_text_from_audio = preocess_video(r_video_file,r_audio_file) +# imgs,input_text_from_audio = preocess_video(r_video_file) # Initialize chat history if "messages" not in st.session_state: st.session_state.messages = [] -# Display chat messages from history on app rerun -for message in st.session_state.messages: - with st.chat_message(message["role"],avatar=img[message['role']]): - st.markdown(message["content"]) - try: - if message['audio'] is not None: - st.audio(message['audio'],sample_rate=24000) - except: - pass - try: - if message['img'] is not None: - st.image(message['img']) - except: - pass +def show_chat_message_from_history(): + # Display chat messages from history on app rerun + for message in st.session_state.messages: + with st.chat_message(message["role"],avatar=img[message['role']]): + try: + if message['audio'] is not None: + st.audio(message['audio'],sample_rate=24000) + except: + pass + st.markdown(message["content"]) + try: + if message['img'] is not None: + st.image(message['img']) + except: + pass # Accept user input # if prompt := st.chat_input("What is up?"): -prompt = input_text_from_audio -if prompt: - # Display user message in chat message container - with st.chat_message("user"): - st.markdown(prompt) - # Add user message to chat history - st.session_state.messages.append({"role": "user", "content": prompt}) - # Display assistant response in chat message container - with st.chat_message("assistant",avatar='./source/bot.png'): - res = gpt4v(query=prompt,imgs=imgs) - sound,rate = text2audio(res["text"]) - st.markdown(res['text']) - st.audio(sound,sample_rate=rate) - try: - st.image(res['imgs']) - except: - pass - st.session_state.messages.append({"role": "assistant", "content": res['text'],'audio':sound}) \ No newline at end of file +def response(prompt=None,imgs=None): + if prompt: + # Display user message in chat message container + with st.chat_message("user"): + st.markdown(prompt) + # Add user message to chat history + st.session_state.messages.append({"role": "user", "content": prompt}) + # Display assistant response in chat message container + with st.chat_message("assistant",avatar='./source/bot.png'): + res = gpt4v(query=prompt,imgs=imgs) + sound,rate,bytes_audio = text2audio(res["text"]) + # st.audio(sound,sample_rate=rate) + autoplay_audio(bytes_audio) + st.markdown(res['text']) + try: + st.image(res['imgs']) + except: + pass + st.session_state.messages.append({"role": "assistant", "content": res['text'],'audio':sound}) + +def autoplay_audio(bytes_audio): + # https://discuss.streamlit.io/t/how-to-play-an-audio-file-automatically-generated-using-text-to-speech-in-streamlit/33201/6 + b64 = base64.b64encode(bytes_audio).decode() + md = f""" + + """ + st.markdown( + md, + unsafe_allow_html=True, + ) + +if __name__ == '__main__': + video_show = st.container() + video_show.camera_input('tt',label_visibility='hidden') + imgs,audio = None,None + if video_show.button('开始对话'): + imgs,audio = record() + if audio is None: + st.info('没有检测到输入') + # st.stop() + pass + else: + with st.status('处理输入信号...',state='running',expanded=True) as status: + if len(imgs)>0: + st.write('getMainFrame...') + imgs = get_main_img(imgs) + imgs = imgs[-3:] + cls = st.columns(min(3,len(imgs))) + for idx,cl in enumerate(cls): + cl.image(imgs[idx]) + st.write('audio2text...') + st.audio(audio.get_wav_data()) + input_text,code_status,request_id = audio2text_from_bytes(audio.get_wav_data()) + # input_text = '图片里面有几个人' + if input_text: + st.text(f'识别后的文本:{input_text}') + else: + st.error(f'语音识别失败,code: {code_status} request_id: {request_id}') + status.update(label="输入信号处理完成", state="complete", expanded=False) + show_chat_message_from_history() + response(prompt=input_text,imgs=imgs) \ No newline at end of file diff --git a/curl.sh b/curl.sh deleted file mode 100644 index fabf8b1..0000000 --- a/curl.sh +++ /dev/null @@ -1 +0,0 @@ - -d 'query=%E8%BF%99%E6%98%AF%E8%B0%81%EF%BC%9F&base64_images=iVBORw0KGgoAAAANSUhEUgAAALgAAAB%2BCAYAAACXgttuAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGvbSURBVHhe7Z0HuBTl4fUtdG7vvfd%2BaSLWmGY%2Bk%2FzVGBMTkxhj770LKBZAeu%2B9d6R3EEUEFOy9964IUs35znnfeXfn7t0LVyTRJMJznpm7O31%2Bc%2Ba8ZWaPwI%2F%2Ffvz3X%2FzvR8B%2F%2FPdf%2Fe9HwH%2F891%2F974CAv%2FHGG7j77rvxs5%2F9DIWFhWjWrNkhqXnz5mjRogVatmyJlq1aoEWr5hwG1aplXbVo2cyoWYumVHOrZlTTFmhOaWjkLb9ps6Zo2rxJQJqvBecx66Pculu1aI2IlhGIbBWJyNaRiKBatWpl5KZtzvXb9TblOLdd28L5A9uv5bTkPFyW1KIZ5zHbo22su99Nm4fZLi7P7XNrTxHcVg1b8XMdG79aRnCdVKvWdjtbt2pNRZih9kVDs13ecbUK7q%2B21W232w%2FzvVuuWTalzzivf7tac7v0tz4326LvW7dAa04fEdEKkZGtERURIn6mzyU3TUSUxOMebaXxCH6u5Uhat1lPCx4bv7x1O7XgZzqORzc9Ckc5NTkKRx99dB01OboJCvIKsXbt2vCAO7B1MASnU%2BgJbKz%2BZwFvFtymwHb9CPi%2FBfCmRzU1kNcDXNQHDgT1vQMeWHcjAed48%2Ba%2BdbbQiSYcLXlACcSBANf0zbyDKPc1y%2BFJ9i%2BrpbeshgBv2pTb4qlJUx7sZlJwu1pwWS25rFYtCQr39aCAe2olYI289XsXWUsHsDmugpT7QemzAwFuoJYaCXhgOzhdayqC80QKYF54fgnqegpATvA96XMHuJZn1uOHWwpZtx%2FwowV2EwIt%2BcBucjSPOyXApTqAjx8%2Fvu6BoHRynRxQ31YBQAInou6GG7C9oXbKD3hw3QLck8aN7PL9gLv1%2BdfpoIig8xkRbD%2FgfgCaEWxBGW5ZLQzgbnkCrFVYwANuopPAkyHA3bJacLtbmWUEATdwa995DEIBd8dCF4WV3Qazb25ojqsn7YcD3MBdH3CdgwMBLoVul18WcoEZVIQn87cHbljAOe7c%2FTsD7o6zJwt4XQUAl3O7g%2BBOqpNOzneRObGBE2EBl%2FwbHxB3yp3U5s5FpTDLbUawJQu4Hbr1Se7ESgI5IoJwS60t5BrWB7xZwHH9y%2FIfF407NW%2BmuwqPUVO7Tca5m%2FDgUsZd5OJNfYBTQTe2Tm5kALPSsTHRSOJJlVrSTa2C63by76fZD0ImsFv44Dafe9Obi0tQSx7gdt3eOaAc6E7%2B78IpdFpFGRdnWgvmSMoB74PbXVhS8GI%2BAOA8Nzqmfuc%2BkAKAu53XSbDwHD45KMyB9k6gX%2F6dqA%2B4JwLXnPBIDuxmxhklC2Po%2Bkz8UHb11JoZUXKgh8Iduv8a90vw%2B9fTkPwxxUmfaxnuOJhtC2yfB5lE4FrwGNTZd6pFQPW3y227X815d2lGwJv79s3JAW4A4%2FrMOgmj%2F1wEgPXGGzpHB5Kd3ge6T%2B5i9i%2B33vwh6xXgOtfGPMLAHIgsPhnAL7jggsDO64CFnrDvKncSGgLcyeyI7%2BDVOckEuTmdUMMg2I0EXC4l0UV0m3SQt3IFtBDA%2FVD6FVorYhSybjOdD2z%2FsowTcx%2Btg3E7KG2fK%2FA5HRhw%2Fu0KwdxWt6%2BhEuBGIYC3bE7YDgB4nXNBhQPcbJ%2FOj0%2FmnHH%2FjLy%2FHaByaRNr3DoFtr6j%2FOsMXda3B9xX%2BPRkAPcfAB2w0BN26NKJJZQ6Mebk2qvWv1N%2BmR3RTns76T%2BxjQVcccGcdEYHZWazT7y1B9Zhbp0EjFlcudxB4qRl6AA2bcJlclkGTn8E4brqAW6%2Br3%2FczHYIKm5HBC%2Bm6MhIxERHIzY6xgyjpZhoRMVEGUVEc5sIm4FOx0nHzFMrOncrb9wcGx0n3zlzUsb3%2Fx34XNK2EPADOXidc0H5AXeu7s5RKOBuW935c7A7mP3zm%2Bk0vca5bK2z3rK875z8gDch0E5NvaFz7aN8OkIFy9CDEXqiDl0%2BwLXRbkMbkPmeO1XnADnItZxGAW5PuABvLrl98lxP6xHwAtJkZzefN13AdQV4E%2BvGZsi%2FzecNAN7cB5aWJ5h0B4mKijIwx0RFIz42xighLhaJCQlISkpCckoyklISjeIT4xEdF12nlsFBI8DrVttZuBsDuIFb8gDXxRMAXOv4FwHuzrtT4HvfMDCtT4FpvfU6HRRwKRTw888%2Fv87BcCf8UFR3fkFnAWzeogk3uik3mBvt2%2BAG5Q4id0gHybg3l2fGfbLrcPLWG4CW%2B%2BOdbPO38rMnB7CDNjCvJ%2FO9Pqdru6FzcPM91%2Bekv816vHU56BR7YmIIdHwcYgl1THQUEuJjkZKShIz0VGRmZiAnJxtFxYXIL8hFZlY60tJTkJqWjOzsTKRyOtUpmyo5ia6rof7WMTKAezJVmbpLGdn1B%2BU%2B1zHVdlnAA4VagW3gljidgdfKnYdQOSjrKRRanSdFKRmL910AbN93zb15zHTevIH1%2BbjQfOKpCcENAM5Y4saPPlrRpSkhl2wh%2F4jv0kIZKv9FotKuBfxobvjR3GhB3qTOBh9MLouai8SD2q86YB9GBQAP8104ObAFtbJ9JKOInDs%2BPh4JCfGIiyPoCbFIz0hFYVEeSkuLUF1dgeqaKtRQ%2Bfm5yMhMQ1ZWBoqKClBUmI8CfibFxTLSML7ERkYgitFK9c8BMHWMqKD72e2oB7iBpoFjHOLcDrDDoTrnywe5gTrMdxp384bCbbY1ALi%2FHtxfXagqWr8IeLgTdqg63IBrJ7XT%2F27Av40c3Iojgtu6djwSExk7GEGSkjRMQBqdOTc3EympHE9PItQ5qK2tRseOHdC2bS0qyksJfrFRTXUlSkuKkJFGR6eTpyYnIYaAR3v1x6GxInhrt9vi1NKIx5FghAUmnDzADofCnbODyc373QBv5g2b%2FCsA17hu3xbuZs2P%2Bq8F3F3QzrlVaIyLi6Nr23ydmprKSJJsYkdqqv5O5HgSCgpzGE8ykZmRhmxGlcL8PJQR7MrKcqQzvsi5CwvykMcIk8O4kpmehgwtJzmRcScarb2CoYHcd6wMyJRAcONBedNR9aD2ywfod1W4c3YwuXkbB7insIBbyA8j4MGNDALJoQ%2Fu%2FwbA3R3KjSsCqLCmgqHgS0iIM%2B6dnCyoLeApqcksTCZymIiy8iJGFRYsk%2BKRTGdPIbSCPJvxJCcny6iivMzAnZ6aYr7L0XccZhH0ZE4fERmsWhSU7lg5mB3gGjpg%2FBGlHtR%2BBab%2F7gp3zg4mN29DgGuapk1ZsPQpCLiTl8U53mjAnVvVV3BH6oIouAW1NvjAG96gfkCA%2B%2FfZ1Z23atXSZOv4%2BBhCHWfcVzk7VUATRBtPkkxBM54FzDRGjsqKMuPWytaqTZGS%2BH0ilZ%2BbgzZtalBdVYG83GykMZ7IwZMTEwzg2RnppoAaIxdXnb6LK96xCro1j7WTd9ylYFZvWP7pGxSXG%2B58HA65dYTlxMdDU3WnCAFdhc8g4Lau%2FDADrrztgU0Fa02CB%2Bc%2FGXCTaw3YrUwUiSO0cXHRyMxMQXFJPt25GAUFuYTcOq3AVlyRUunGubm5qKlioZJDAR0KuJxacJcUFxqwc%2BnmiieKMnJvAZ6ZmW7uBqZHnqtK9I5VKODhAD6Y3Hk6oL5HwN261WdIXBjYA4CHRBcqDOAOnKAsxKFgOwV31uVtE0vqAK4Ns7LVVL6NPpC%2BV8Dd8q20nw5wtUCqIBnPOJKSkoD8gmxUVJYgNy8TGRkpBsLcvBxkZTE%2FZ2airKwMRUWFBLcYRYWFjB5pSFRWV504lRQby78puTzdP5fxpLiwACWcR1m8sDAfKbwbGNB5EegukRyoRuQFZ%2BCWbH15wMEdkFQ4mMPJP0%2BD%2Bl4AF0v6jtOYqsXgPKZbsufgxsV9agBwVwNi9d0B95XsDwVwxR1vHX7ZbQ3d%2FsOluuvVSdW2u9qSWEKp6r%2Bk5HhkZ6cT8hyTrUtKC1HLmFFVXYma2ho6eynate%2FA8TZ08Dw6cw5zdwriYxhtYgi4E5eXpZxNFdDhiwsKUVRQYOJMeXmpqTo0cDOiZBB0KYUZPjpSLbK2AUYNQaYxyJiJD0hP4YAOVeg8YfW9Aa7vbTowScGbR4xaF1cB1EYTpwMAfnRAdkHaqVC4Jd%2FOuhVTusoOF%2BANyW7rwRS6f42VXUfggHN7lLkj1Kk%2FKtI03qhQafJ3UizBSzZ12Sf%2F5EScRBWVFKGQjp2QlIzYeMYUDpPp3NnZuYwvqfYOoJijC0VVi3JxTicV5ReiTVUt2ta0QU11lakbz2M%2BV9VhYWEe7wqMLZIHuWkI0rbx2Aa6uB5OwLWsEIWei8Mls3yu80CAGxNt7vj0xxQHeIMZXEB4zk03DjqyFho82Q3JbGCYz7%2BTDsPBrLuPjVFwXh1UqXVEc1NTEh0TaRRL95ZUoIyOjkBKahLatm%2BH4088AQVF%2BYQ%2B3uTkyOgo098kRq2ZjCGxavhJpBhv4lhANcvxAI%2BLpmLj6eYJyEzLQHFREaqqKnHcccfi%2BBM6obKqjJElB9WVZbwTpNPtU43S03gRqS8LIXf9uA3ofkD4d9jj2wj5j%2BW%2FQ8F1W6D9cgnBAC5GCblrmAvItFLbBruwgJsVuQVRcmP%2FDn8v%2Bg6g193HxsjOp3W2aq1qQPUAbGFAjomNMnKAq2YkKro1nZkFRMYSDVMId0J8NGHlhRATYYbxnEdKToxDUiLdOpGxJJHTxHMaLjeOF008LwY5ulw8JTEJyUlJ5i6hOKIIlJ%2Bfjby8LFRVlCKfQ8GdTScX4KqViWSBM%2FDgwX8x4AK7aTOq6ZGegnCbfioEvAkB13g9wM1KFDHqLPh%2FD3Bd6II7hoDGEtAYIw9swhTHaCLwcvOyUcCCYBVdNS01ERlqqUyIRGJkE2QmtkZGQisUZsajoiAN7Sry0LGmyKhdZS5K85OQmdwaSdFNkc7pkmJbIDG2JQucESyIJjCW8GJJjuPdQBdDDO8EESxYtjTunccLqay4gHEmx7R4qhOXeWTMA9yvwBMzBD3ssT2Iwh3Tf6WC62484DZzK5b4G3uMg%2BtketIKjFurQSZ4e1aW9u%2Fw9yJlsxCFOzjhFB7iUPmOAyUYBHcSAYtPiGGBUnBHG8BVp237leQjjYU%2B9SWJ53c5mSnIz0pGcWYMavMT8bMOxfj7WT%2FDDRedje63XoL%2Bd1%2BL0X07Gw3rdSvuuvF8XHzur%2FC7X3XE%2Fzu5Gm3LUlGQFYXUxOYEPIpunYKy8kJmd0aa%2BChTY5Obo4JoKnLVOSs5gRcULxJuQ5J6IvqqDv93AT8aRx3VhGpqhgRcQV1S7tYCtCCdYIV6r5Do29kDKgyEYRVu3kNQuIMTTuGBlvxQBwsrusgj6JQqQCYlMSsTXuPedG5BrtoTtViqmjApJck09mSxkJmeEIGqvCScdnw5brrgTPS541KM7nkTpg7sjJlDumLx2B5YNuEBLJ%2F4AFZM7o25I%2B7G%2BF7XY%2FrgOzBl0O247crf489nHo%2FaijQU5Kn%2FSgzatqti%2Fu5ookkqAdewvJSF0NpKHN%2FpGJRxXI1Cql3RNkVHR5qWTgu5V%2Bg0VYiHMaLIBMOd18MkU8A00rhVeMCdCLap97Y1J0cd5SBXIVNB3UjB3QHug9sA3riDU%2B9AhJHZiTDzNk7aDieujwc63DrqKhzYTkGw3YWuA6YLPJq5WjEkjllacKtgGcOCnFoRBVIWI0IiM3JiUqLJwBkpsagk3Ned9xv0uuUfGN39OkzpdytmDroDc4d0xqJR3bB2Si88Or0PNs7oi02zB2DdlAeweEQXrBjXDYtHdcbSKT0wqu9NOO%2Bcn6FNVQ7zfCKBzkSHdjUoZRzJzkoz8aRd22p0OrY9juukjlrVKOKdRF1s03hXSaKrR3M71V9F7m0ekuBx0KNu9Y9n4xR6TL%2FbOTy4Atz5FB5w28AjBRp3jpb4N%2BHW8IjmLVRT4nWI8tzbrkRSlZ6q9r4L4Po8qEM9OOaKrrPD9vODQ671hlZtOuk7O10zHjBz4HjLaynAVTh0gBOYaNWGqE834Vb2LlZvv6xMVFSo30gmygsycN7vfo4%2Bt16I0fdcjqm9r8fcQbdh%2FuDb8eCQ27Fs9N14aEpPbJzZl%2BqHjbP7YdPcAdg8bxBWT7wfayd1x7alo%2FHQnCEYO6Az%2FnTmT1HM3J6fm4l8Lr9NTQWKWNAsYOY%2Fpl0tfvbTk3De3%2F6M0379S9TUViGPWTyTF106C50JjCumf4we1zPuzeP3HaCsezy%2FL8C1Xq6fjBojMmYUBvAA6B7g7soIyuZPI6%2FPhequw21IqEIPRDi4gv2Tv53%2B1YDrAnfu0Kp1syDgjCNqlle9dVyczd7VNZUEvBC5jAYnnnAcju%2FYHrUlObjqb2dg6F1XYlr3izG%2F39VYNOhGLB5yC1aO7oz1k%2B7HozN6Y%2FOcAXh26Sg8t3yM1YqxBvL1dPNHpvbFtsXjsHRCf9x386X4Sccq1JSXoLKsGMd2aGsKlAK8proMJxzfAT%2F%2F%2BUn46U9PQEVlqSkH5HB7dGdR1aW66JqWTrU7%2FFcAzu%2B4Xq3fRMkQwJ0CzfUO8GDW9stb8H8D4DoZXiNTWAWWUxfwGEYSwa1Cpev6mpycZKBWdaCGJXTxtnTPkzoxLtQW454bLsCY%2B6%2FF3Acuw%2BIB12LZ4BuwZtTteGTiPdg0oxc2zeyDx%2BcOwnPLRuOFlePw%2FIpxeHHVRDyzdAw%2FH4Kt84bj5VXTsXrSQCwePxBX%2F%2F1s%2FPS4Y9C2ugKnnHwSqisrUFleio4d2qBD%2B2pUV5WgtDQfxYwveXmqRswNPB2kvjCmbtwrcKqg6fb12yr0mP6QAQ%2FKVhv6HNxGk4AMGBZIQRK6kweWpq8Ldn0deJl1tqUBhZvPL7sPkg6SF7fqyXcAvWXq9q7crcfLshkPEhMTTL8S%2B5CCmuArUVpWZGJBOZ28Y20Ffn%2FqiRh%2B740Yc%2B%2BVdO9rsWTQDVgx4jasH98NG6f1NHBvmd0fzyweiZdWTsBLqyfh1Yem4bX10%2FHy2ikEfiLBn4gXV07D1gUT8ND0kVg8YQj%2B9Jufo0N1CU46%2Fjjm7bYoKyvBCYT%2B1F%2F%2BBOVlevpHdeOZpvBZwAijJ4Y0VJVlLC%2FSiNZq5WxOwOsC05D8x%2Fe7Ktzy66mR8dfJlZnCA65KAqd6gIdfoPQfDbg3bdiD65N%2FmQLc1HXTveWKcmu9jSlXjSss5Knvifp16%2FNSAtWmLB%2FX0G1H3ncDs%2FcNeHDgTVgy9FasGXsXHpncnXD3Jtz98PRCOfQEahJeI9xvbZiNN6k3qNcfnk3YZ%2FHzOXh%2B5QxseXAC1s8chZE9bscvO9Uw4%2Bcwh1fj5JNPQFlpAU4%2B6Vgcf1x7tG2jrrWZBmp1%2BhLgkgBXA1NkBAH3Gqv0fpJw%2B%2B6XOw6HQ%2BGWX0%2BHHfBgo48HuGA6MFDfDXA99e3XYQLct02m62QYmeUYB%2FcizgHklqt5HOCCu5yFSDXDq3CpVsq8%2FCwUFuaigMpmFCgkXO3LC9Hl6n9gbI%2BbMHfg7Vg87HYsH9EFa8ffy1xN957VF1vnD8LzLES%2BtHoCXqVjv%2FHwTAI%2Bh4DPIeDSPGq%2B0Svr5uKpJZOxad4orJrcH%2Fdc%2B3e0L2H2Zhxpy%2Fx9IsGuqSrGcce2w%2FGd2qG4KBdZqoPntumxuCL%2BnZ6WhPi4qLqA%2B%2B5YDanOMf4B6hAAD78gv36IgLvp3A6H07dZnpOmdYDrmUk9Ria4XVzJY8bNYUEvLT0ZqSnxyEyOw29O6YQBXW%2FAjAFdsWBoFywefieWjbwbqwn4w4wnG2f3xRMLBuNZZu8X10wgwFOMY79poJ7ryQH%2BIF6hiz%2BzdBIeZyZ%2FdOZArJrUFxed%2BTMUpUajJDsZteUFOOHYNvj5KcejTTUz%2BTG1vNhSkJvDC46xqZgOnpGWXBfwMDCHU7hjcqjyH%2F%2BG5L%2FLNkbu3P6AAG9IB15muO3wy03nBzpU32Z5AXFfDeCMJ3q6pri40NRKFBTko6C4CNkcpmamI4lwpyTFIDclBn%2F7v59j6oB7MXtQNwJ%2BN5aMuoe6FysndMdD03pjw%2BwB2LJgOJ5ePg4vrJmMl9ZNw6uPzMXrjz7oab4dEm4B%2FqoBfCILnsOxZc4QrJ3YCxN63oZTjylHYSpjU0YCairycdqpP8VxHdvid2echrKSfCQnxaKmuhylJQUGcPWH%2BRHwMAsJ1bcH3EnzfTuwncJtR6jCzXeo8i9XJ1rN8O3bs1BXXmr7X2dlITO%2FAFkFBD4zA5mZScjPjEebjDj0uuEiA%2BC8IfdhyejeLGhej66XnoW7LjkHA265AsO7XI9ZA7rj8QVT8crDS6nF%2BPiZ9Xh320q8uWUp3ty0GK9vXIA3PL3%2ByHyTw7cuGIdtD47Gw1P6Y%2BOcMbjuL6ejU3kOUmOaobo4B1UsB5xyUie0YyG3fZtK5GanGahPOL4jMjNSOB6DKDX4eBFFF24o0KHyH4cG1Ugews77HfUDA%2FzQFW47%2Fh1SHldWFeAlpUWm%2Bk0PGlRUVSIrPw%2FZ%2BflIJzzH1Bbj97%2FqhEt%2B%2FxOM7HY1Zg%2FsggUj7kPfm87H337eHn%2F9ZVucfxq%2FZ7S4%2FtzTceXv%2Fx9u%2BssZ6HPTZXhoxgi8u3U1Pn1hAz5%2Bdj3eJ%2BhvP74Eb25ciLcI%2BJt081fWzcbTjClPLhyHx%2BaMwKOzR2Nir64462fHokN5rokq%2BVlp%2BMUpJ6BtTTlOYC6vZT4vLyvCT04%2BHvm5WYiJbl0ng%2F8IeAP6XwC8zokm5Hqu0jSe6LlIRpJ2Hdqa%2FK2cW5KXgusuPBsje96AXjf9GeN7XIkRd12I%2B64%2BE9f96SfofcPf0evG89DvtkvR44YLcefFf8bVf%2Fwt%2Fnbq8Tj7pFqCfxweuOlCPLliOp18HT56eg0%2B2LYM72xZjLc3LcDH21bg460r8KZx8ml4cvEEbF08BUvGD8aV556BS889E2W5qSjKTkcRC5UJBPnETu3xkxM7Mbb8HCdzqGb96Ci9lP5fEFF%2BBLxhmczVGIXZjlD5a0G%2Bs%2Fwnmn9HRUegoDAf%2BQV0bRYuKypKUcLCW35WIk47uQ1633ERxj1wFeYMuRETe15iNG%2FYTViuem%2FGiUfnjsATSybjyZWz8dzahXhm1QKsmz4Gswbfj5mD7sb4nrdiOgulL66bgw%2BfXIX3n1iC9x5fjHcI%2BAcCnQXOl1ZPx%2BZ5I7F6cl8WYO%2FCnOEP4J7rL8ZfzvgFjmtbhl%2F%2F4ifIy0xGcV4mCnjh%2Fd%2BvT8XZvzsdJ55wLHKy0gMObiE%2FeA2KFO441xPPT7hzG6qw835HfXfAQ0H7Vyh0nWFUD8BwCnOCFC9CFW66huSeb9TDAnpZjxpQ1MFJcBcXZKG6JAtXnX86Rva4AlP7X44Z%2Fa6irsSKCZ1ZoLwHD0%2B%2FH%2Bun9cG6qX2xasoArCfsjy%2BdhadXLsAzy%2Bfh%2BTVz8fjC8Sx0jsdj88bg%2BdUzGUsW4T1C%2Ff6WRXh74zxTH%2F7cikl4YuFozBp4B24%2F%2FzT86ZRqXHjmyfjr%2F52Ek9oX45iaQrSrKkZmSizys1ORlZaITse0wTlnn2kehkhJjjeAK4PbmNLAcfEfTyrcuaincOf0uyjcOhrQwQG3cg8ghwW83pX4LTfiu8vCdihSzvTrUABvzW2IaNWUcDRHDguTuVRxXgYqS3JwQvsy3HHNuRjf90pMH3gxZhHuRcNvwcpxXbBucjdsmHYv1k7pioem9sLUfrdh9rD7GS2GYMvCWXTjKVg%2Brh%2BeWjIJzzF6PLtiGp5aOhkv0qnf3bQQ729eiDcemY3nVxHuRSOxYc4gzB92F%2Frdch5uu%2BD%2FcNHvTsKZP63BcTXZqClJMxdbTlosCrNTkJoYZQqdp%2F785EA8kQKAU6HHRvsb%2FvgfHoVyFE6HE%2FDAdxx3fVIaFVEOpxpy3sOl0JP47QFvRsAJd6smiGt9FPIz4pCXGoWirHi0KcvDL09oi%2FtuvRCTBl6NGYMuwsKhN2ENY8mG6Q%2Fg4andsWL0HZja82L0u%2BGPuOHcn%2BOiM07C6Z2q0YmZ%2BTc1Reh7%2FQV4cEg3rJ3cD1vmj8aTiybipVXT8d5jjCaMJ6%2Bvn4EXVk1k5hbgA7FmKu8GM%2Fpj1bT%2BWMa7woMTemLEAzcyh%2F8Kx1fnIiuuCQoy45GeFIPKsgJ0aFuNjPRkwt3aKCrSQd4y8DCEk%2FY33Dk6XAoHdKh%2BBPxbyn8CpUMCnMPo1k1RmxuD35xQjkvPORWX%2FPlX6FCWhdNOao8Bd1%2BNqQOuxZzBV2DFqDvw8OTueHRGL7p3D8zqcyV6X%2F1b%2FPWUAlx2%2BrFYM20oOl90Ln7XsRYn56firgvPwp1%2F%2FzXmDe6CzczpG2cOw7NLJ%2BH9xx7Eexvn4tW1U%2FHc8nEsWI4yLv7E0jF4bMFwrJzeFytn9MP6eYOxmfBvXjQKk%2FvejD%2F9rIIXYTwyGFEKWOAsLso3T9vr6Z6AIpXFQ374idL%2BhjtHh0vhgA7V9wJ46ElvdDZrhH7ogMu9VeuQkRSNsXTKucPvweppA7GEBb3fnFiFX5%2FYBgPvZu4ecB0WjbgO6ybcjY3Te%2BGRKT2wYWoPzOl9JYbe%2FEfcfcEvcM9lZ2BcjxvpwCNx8a9PQbeLz%2BWFMBxdzv8tZvW9xTTkbJw%2BGI%2FPGY431k3HW3Tvl1aOx7aFw%2FD4gqF4YvEIPEbIZw65E0PuvRyzR3bDqul9sGZ6T6yllk%2B8B92vOROFvLtkZzBKZekp%2BzTzAqGYqMh%2FP%2BCC1QesAdj%2F%2FWHQwQDXOjUMAB56gg8nzN9F9barkfKfQOnggLeAfpVMUsEyktEkpvmRuObvp2PrsvHYMHco5g%2B%2FC0%2BtnILbLjobJ1VkY8R9dO9BN2LhkGuxZmwXbJjSEw9TG6b1JugPYEr3KzC5%2B1WYRoddPLYnNs4by9w9AwuH98S0B27FlJ43YNHQrtg0axDWT%2B6Nhyf1xtMLRuJVRpNNswZi6ahuzOFT8MjsoXhwzP3oVBSHn9Zm4rzfHofz%2F689BnX9K%2BaPuBmzhlyPwV3%2BhnaFMSjOikVpQaYpWOpl%2B5F6n7jeeBtJ0KlIjjcG8PrHpxEiM35XDoDdCHdurOG56RsC3MEtme%2B9z%2BsD7lvY96lw29UY%2BU%2BgZH7OjhA3KJ1o%2FRCU%2Bd2e5oiNaIqUiCMxeUBnrJ7SF48R8JfWTsODI7qh5w1%2Fx2kdijDqvmsYMW7CgkHXYSGHq8fcbR5FU19v9evezMLh5rnDsHn%2BSGZpOjILkk8vm4atC%2BXOY6kx2LZgFC%2BIflg19l4C%2FgCeXjgCr6yaQMAHmP4nrz40yzQePb54Am45%2F3ScUpWJUT1uxsj7rsTZJ%2Bfg7stPxeQ%2BlzGmXI07eac4rooFztRY3oGaIIquHRkZRcCjCLfkALc%2FeuWOjY7XYTnuDQGu5QngAync8sLILe%2BggPOiUke7AOBuxh%2Bawu1kY%2BSHu7FqxRPf0vzqWQvEEfCM6COxeclELBx5D7YtHoNHZw%2FGzAF34N6r%2FsTMW4uR3a7EvIE3Y%2BFAuvigm7Fk6B14dFofPM3c%2FNyycXiWem75JLrwVLy4dgZeXDMTL6%2BbjXc3LcY7aql8ZC6nm2Ce4Fk%2Fmdl9Sm88s2gEXlszEdvmD%2BZnD7DgORkrx%2FXEIzMG827RFVPo%2FCvG98LYey7HdWd3xOW%2FqcSk%2By7EijFdMXtYF%2FzuF%2B2RFK3an2bmzVuRkWqmjyHc0Ygm6JERkQTc%2FnSi228dr8N13OXWAcA95%2F42AB9MbvsOBrjbjgDggY3yyS3s%2B1S4nTy4QqrCIiR7QnV7bkiteTt3gMdHNkVeYjM8uXoGlhOw1x%2BehS0PDsfEHtdhaNfLcenvTsT4%2B6%2FFzF7XYwEhXz78Tqwc3Q2bZw%2FEs0vG4DUWEl97aAZepwO%2F%2FvAcvPHIPGo%2BXls%2F1wzffnQBXlYDzpyhdP3%2BVF9eHH1NV9o31k3Ci8tHYdXouwn8SDz5ILP4nCHM%2BT2xevS9WDvuPiwefCuG3vAHTOxyHtaP7oxNk3pgxsDbcfoptYiPOIrZ2%2F7wVVRkHOGWCHmEOl1FcV%2F%2FhYBzXsOPL5aEm%2B5Q5Zb5Pwx4EO4AvCpcURp3PyEdEG%2FjupWb2zkza4RxvVZIimmB6rwEPLF8CrYtGotX1k7HEw%2BOwPpp%2FTGs62W47s%2B%2FwLQ%2Bt2Bqj2swf%2BAteGhidzpxb2zjRfAMAX%2F9oel497H5eH%2FTQry98UG8TsBff3geI4cH%2BAYBPgNbWLC0gPczgL%2B4fCxeXzsJzy0djsVDb8VTCwbjtdXj8fZDk7GJhdgn5wzA2tFd8fTc%2FtjCwuyC3ldjy%2BT7sXVqL0zqfSN%2BdVwZYloe6QEe%2Fb0AfriWFU5umeLzQIA7BQD3b9B%2FmtzOK0uHwu2HOQC897kDOxzgcvCKnFhsXDQeHz2xFK%2Bvn4nnVkzEmsl9MODWf6DvTX8n4Ddjeu%2FrsXzUXVjPwuUmuvc2Zuhnlo7Fq%2BsIOGPIx08swwdbluDNh%2Bfj1bVzjDT%2B9oaFeHHldII9CGsnPIBlI9U41Iefcd61E%2FD0kqFYM74rnlk4EO8%2BMimgl5YMx8uLh%2BOVpSPx4qJheHJ2P2yd2Qerht2JUfdeiZNqcxDf%2BkjEqvUyBPAoAq6fLjc%2FPEvA%2FY%2Fq%2FUeJkccPsXNzv0I%2F%2F68CPBRivSwzFHL3nV6QY1%2BkqR9hpcPptRCcPi6iCYrTI7Bscn9Gjgl4fP5wEzmWj%2B2BIXdchKF3Xow5QzpjZr%2Bb%2BNk9eJhwPsEo8fSS0QHA36Fzf7J1OT5%2FajU%2B2LzUuPYra2YbwN%2FiuABfN7EPlgzvxrvAnXiEy3h59ThOMx5PLhqE1eM74%2BlFA%2FDexsl475HJBvB31k3E22sn4vWVjEErRpu%2Fn6PLLxpwE3pc%2F2cUpTT%2FnwBc5%2F1AgIfqfxdwOnYMIVeVmn48SrlVgMe0OhrpMUdiwTg13AzAqvE98AijxPKx3TG8yyUYcddlmDXwNswacCsz%2Bn14bM5AbJk3lJAPJ%2BRj8fKaqYR4nnH%2F7c89hC%2BeXosPtyzDZ0%2BuxVuPyNlXM8pMxqw%2Bt2F231tNdeGjM%2FoR8AkEfAI2z%2B2DlWPvxFMLB%2BCDx6bh3YcJOPXeeqt3qbcJt4bPPDgISwbdgsvOOh7JrY40hcwYtV6GZPAfAf8Pldvxbwu4Gj%2FUEBIO8ISYlkiJPBKjut%2BIpcPvw5a5w02NxvKx92J0t8swgdl7Rv%2BbMXfwHVgx%2Fn48NncwNrEguGXeMDr4eDy%2FnC67fjbee2whvnxmLXY8%2FzCdfA0%2BenyFce9Ptq7GslE98OCgrlg5hhfP1H7YtmA44Z9OTWOGn8jocjcLmAPw0eaZdO8pRu89bCWw31k%2FCW9TW%2Bf2w9Tul6NdVjOkRhzJeEXAzb4L8FjCLfkBb8VjZbN3ndeD%2FKfoR8Ab6eCe9OsIUpT54Vbb8pcYF4mEqCa4%2BrwzsWz4A3iBhc2nF49hFOmNST2uwuQHrsGDzL3zqZUsYG6aO8SKkD%2FF6Z5dRideO8N0d%2F102wp89fx6bH92HWPLQgL%2BIC%2BCSVg4rBsemtQPTy4Yw8LpKDy%2FbBw%2BeWIhs%2FssRpo5WM%2FC4xOE99Mn5jGiTDV63xsa4DdMxRvrJzLH98SwO%2F6CdEaT1JgmiI3wO7iqCG01YZSqCFtHeIDLvXXsnEIgOpxSNeHhkrc8nfcfARfAYQDXq8zCKSrCTiPA42Lo7tGtUFtWwKgwFM8tn4nnV07Bi6snYka%2F6zG119UE%2FHYsHNEFqyf1INyDGSukIczPozn9RAv4o%2FPx4eNL8MUzq%2FHls2tN9eAb6%2BfS6Udiych7WUC9D2O6Xo5J912DZ3hh6En7F5aPNe9MeWbxCDw%2Bpz%2Fee3Q6PnDaMM0A%2Fg4Bf4u5%2FPkVI7Fu8r0Y1eU8ZMS3oHO3QGxUC3MXss3z0RTvSqbBJ9iKad8Z7r012OhfB3m4c3aoMsv8EfDvDnh8bDRatmiK5Ngo3HXJRdiycCaeWj4Dg%2B68EEO7%2FANT%2BxDw4bdj8cguWDelJ4FVPJGGeoBPYA6fbgDXgwufbFtOwNeYXK7o8sj0gZg3sDM2zhiEsczzPa%2F4Pab1vN48hT%2F%2Bnssx4IZzsYqF182z%2BuKLbQvx0WOz8eHGmfiQkL9H537r4UnYtnAQL6y%2BmDf4Rozp9g%2Bkxcm5WxoFAbdw1wVcLbc6bno9tntF9g8EcNWfH0BmmT8CHgRc9dwO7lDA9ZvvfkUTcEFuMnmM7ccRy9iSTRc8tUNbnFJdiBPLU9Hr5r9iUu9rMI8OvlQ1KDP6YjPhfnz%2BUDzOQqYAVw5%2FcdVU5vZpASd%2F97EFeHXdTLy4ciqeXTrZ9CBcMboH3lg3C88tnYgn6OrrJ%2FfBsNv%2BgQXM9mvG3oe1Y%2B7F9icXE%2FA5FKMLM%2Fp7dO831o3nRTQCayffg7H3XICZ%2Fa5BamxTQq3%2B3x7cBwU8VHXBPFwKd84alCA%2BkLTM%2F3XAnRzkDnh7cvk5C1gHAtzBYTopsVCWxEJabAve9o8%2BAse3KUDXq%2F%2BIkXdfiJkDbsLqyT2xUX1OPMCfWDCCgI%2FB00tsM%2F0LjDXPr5hshoL7lYdm4mUC%2F8Kq6aZV8%2BU1M3ghsFBpWjvn4ItnVxH28Vg7vgc2TO6NF5aMwWdbHsRHG%2Bcwosw0gKs25fU1Y%2FDUwv68C1yDwbedw9h0LZKijuJ2hwLOcgWztxTZmseC%2B%2FlDBjws1H5pmf9OwAMvQff%2B1soPp%2FzrakjBg2k7ToVCHhjXkHC7XzywoFvYHfC6IEyskeMrsrBQFtGKQ%2B5jbMsj0aEsHV2u%2FAP63nwu5g%2B%2FE%2BtY6HxMfbMZTSQ5%2BNYFo0xBUy6uwuYzSyfw73F4askEvPrQbLz2yDy8u2UJXnl4Lp4l%2BC8LekoPGr9OkF9fw8LjamZs5vG316nGZBoLlzMouvf6KXh91Ri8uGQwHpnUFVO6X4gZ%2Fa%2FB7CG3mEKxGqnMPnjSXUhSByt3LHSM7PHSsXNyx%2FBfoDDn1SnwaKBRs0bITivYWwjwZlKTOnKtl34dOuBcSR3Aw%2B3gd5B%2FXQ2p7jwW8oC8EyrpFcJOAch9gBsJCjqg%2FXUEqbWBIooQJLQ%2BEu2LknDf9X9F9%2Bv%2ByIjiAa4qQsK9ad4wbJkvwEeamKL6cOmpxbbn4NYFgn4SnXy2eanPK9RLdPPnCPkLq6dxfDpeXjcNb66ZhrfXsiApuB%2BaQqinGr1Lvb5qLJ5j9t48nfFl7O0YfOvZeGhmHyyf2gcJ0c3s9ofI7Iv64%2BhY0L2Dx%2BrfAPdBJFjNr8FxvDW3Jax4joOqC3gLAd6UYPvUTFCrCd%2Bn%2FyLAwytwID0dEHBBYdzOifGEBbFEAt6uIB69b70A3a48C9P638yI8gA2zBpAyIcYbRbk84abfivbFo6ykNO9H583ggXKIdg4bQie1EPGS5jBpw3F8hH3Y%2BWo7niM322eORTPLByNN1cTbgL%2BrgCn3iPk76ybhLfWTMLzCxmDZvXGI5O7YXL3izDojr9hHdc3efh9iI1qzm0P7oOD238X%2ByEDrrffRnqK4naacb3qgudYD6A0GnC6%2BOGLKP%2FFgNvbutSSWbwZkiKORJv8OPS48Tx0v%2FYcDLr9fCwbez9WT3oAj84eZPTYnMF4bPZgbJw1CBtmDDBN%2FM8zi68YdT%2FG3HkZel3yB3Q551T0%2BPvvcO9f%2Fg89%2F3EWel98NkbffDGmdL2augJPTB%2BAt1ZNxpurJlITqPF4ZdlIwj0MT80fZN4xvmjYrZjW73r86dQajOzbGX875zfM2XLwbwP4969W5skp271XMMfwWMdyO2N1zCmBHsFz3Lp5E7RiHP4R8AbkAA%2BATfnzdzjAAw4eqQPdDImRR6IqJxo9b%2Fo7Bt7%2BD9x92Rk%2BwAcaJ9%2FI4UYNqc1zhxoHf%2BPh2QbyrbNHYM2Q%2BzH%2B5kvQ6%2B9nYdCl56IHIR962Z8x4ELm%2BvN%2Fh77%2FOB2DrzkHD427H88soKMbDcEzDw6gBuLx2f2wbnIPjL3%2FCtxz7R%2BRFn0kUmKbIE7uTSD8cJv9%2BMEBznPGY9miNblp3YTb1JTb3YwwE%2B7I5oiLbol4FpSlWG67FMX5BLkBvRGAi8lQ%2FVcDbvI3T25duD2gefJVc%2BLkwLAwtDRP%2BAiKCJ6IeDp4WXYk7r3%2BL5ja5yZ0vuDXmN73Jiwc0RVrJumhhD7YMLMfh9T0vua9KGr40UMNaq3cOmcknpo5EpsnDsTCHndgtt5Ee%2Bc1mNn5Gsy682qMu%2B4fmHTTBeh7%2BVno%2FNefYUyXC0yX2Uen3IvN0%2B7j%2FL2xalw3RqNbMKzXLagpz2LBUo070bwAY7n9aq1Ui%2BwPFXCdKzLDY9ksoglaRB7NskETREc25T40MxdpPPcnIaolyxOCnE5Oc4nWS4s4v6Rzp1%2BpEOiCvGVzMiAGfQqFW%2FqfAdzv1n6wDwR4S%2FMukWa8bR6J4qxI9LrtAswgZN0uZcS45g%2BYNeAWLB19N4F%2BAOsZH9ZP74WHplFTe2PTnEHm9ccC%2FHkWMJ9bNBHbZo%2FCS4um4OnZY7B%2BVG%2BsHdodawbfh1l3X4%2B53W%2FAtPuuwsg7zsfQW%2F%2BCsV3Px5qxdzK398KGqfdg%2Bbi7MarHNbjm4rOQEN8UsXQ808%2FkPwVwOTehbh5xFFpGHsXtPdp0TU6M4h2SgCdGt6AIeIycvCUdvRXht1HFxJUfAa%2BvQwFcUAQAJyStCXmLJkfguDZ56Nf5EtOLsOfVv0fnf%2FwKQ%2B5Q3%2FDrsGL8PVg7tSf1ANZOeYCQ9zF15BtnDcbWBaNNw4%2FqvV9YORUvrpiG51jQ3DJrBB5jwfOxKYOxYVJ%2FPDq5LwubA7CN0eSFFWPw7BLm7gX98fic7lg%2B%2BjZM7HUVRvS8FsfUZCAm5miK%2BxGlBxlsZ6ofOuCtCHgrAt6a7h0T1YTxqjnSYlsgI641h60M5EkE20BOuC3g3Edue6R3HgM%2FaCvAxZ4Y9EufheiQAQ8sxPs7%2FI4duuqsqwGFm8%2BvbwO4AcJBQbXkZy04VOGtdfMj8MsTqzGg6%2BWY1vt6jLv3MnS98DTccxlzdOe%2FY%2F6w27FqUnfT%2BCM5wDfMpIsvGIXnVk3BS%2BtsnfeL62aZZzT15thti%2FQQ8jhCPRZPLRxtfr%2FnuWWjTN%2FwF1eMovv3w%2Bpxt2L%2B4OswpscVuPKvv%2BRt%2FEhuk8Tbd6SetRTc%2FwkRhQVFAh4T3QzJMS2QHd8aeQkRyE2INJAnMaokMaYEAFfDFbc%2FiufOuLf2gedTyzPnn%2BzJxf3y8%2Bh06ID7ZCrvtSMaHiYFLiC%2FQtdb5yDWlwWc0kES3ALWiFATAifn3A7u1vy%2BFYFp3pIxIDrSPARxxi86YWT36zGlF7Nz3xvQ%2B9qzcfvff4H7rjgDk3pdjcVju2HlpB5YNdk6%2BKMCfNYgbCHgz66ajBfWzcArG%2BbgdT3GtmE%2BXl4%2FBy%2BsnYnnV0%2FH83T2F1ZOwosr1Qw%2FigXTkYR%2BIB6dcR8WDrsO4%2B67EBO4zpK0ZohqeSS370huK3NppH7VWJCr92AI4G5fvi3gYc5F2Om%2BlXSumnKbmjKCtEAqY0gOoS6IjyTkkUiPk4M3NYAnMKrE0cmNe7PwLLj1i83afj%2FgzsVDFcpIo14bEW4nw30eOt8hixsamqUOBXDJubjkIHYQ%2BGEwQARgoIO3jkDTZizdx0QjjrfXu66%2FBCPvu9b0KJzR9zqM6noBHrj2LNx16W9w%2F9VnYVz3qzBz4G1YNPoerJooyFnYnNEfmxeMwFMrJuD5tdPx2qPz8M7mhabl8q1NC%2FHWY4vMu8Df3DCXw1l49aEpeI7O%2FfTSoXhs9gOYO%2BAaTOp%2BCab0vg7%2F75g8ZMXx9s4M26r10bwAedvnRahH7QS6WmGdtE%2BugSe4T40DPPQYN%2FY4h5OtNbFSBjeAE%2BA0AR4bQcCjjIOnxelh76N5d2qGeH5vCpiUqmkb3G6yZ7bPB7eJLyHTHTLg4RQ63yHrWwGuA9CwGgu4cQfup4YO8KOb8IDHxqEsPxtTh%2FfDqPuvYwa%2FHjP7XYfJPa%2FCkDvPQ%2FdrzkLXy36L7tf9ASPuuQxT%2B9%2BMxaO6EXLFlV54ZPYgbFsylk49Da%2F7AH9n0yK8Q8Df9l4j8eYjM%2FHqusl4Zpn6tAzCQ5O7YWy3f3A916DzhWci6agjkNCC0US%2FiEc3VHWbygkWcN6JfuCAa3tbE%2FC46ObGwbNjFVGikM2YkhrT3ACuO2Uco0o0t1UvDNXd157H8MuX1P1XBc9ANWLI9z9MwBup4A%2FVNiw9wVIfcEGgh4yD7wrRtPphWNV%2FR0bxth8Vg%2BSUdGSmZ%2BD3%2F3caHlkyF8PvvQazB92I2QNuMP3CR997CQbf%2BXf0ufkv6H7tH9HzhnMx7K7LML7HNZg16HYsHXe%2FeXnmJjX6rJmGNwT4lkV49%2FHFeHezlR6EeE35fI36eI%2FB1oUDsZHuPbnnxZjemxfRrZeiNiUKGdzfqKOPQmv9dmlrC09LORzjVGuVE3Shet2DAxdsmHN0KPJfKFJjl%2B0HvCXhbhXZlMe1GSFvgWTPyVMUS1RVyAtAjwuq5Vj132qrULQ055HDFlqeb9lOoYCH6r8OcMHqgLV%2FB09MOMCd9BRMTIz92e6ExEQkJqciL78QOVnZWDB3JnZ%2F%2FC7G970Ns4fehHlDbsaCoTdjzqCbMLXvtRjX40oMu%2Fti3H%2FN2YTctnSOuPtSTOlzo4F83fT%2B2LqYLk7IX1k%2Fy%2BjV9eqXIs3CS6un4OkljCaL1aelH%2BYOvh7DOp%2BLUV3%2Bgd%2FUlCJHrXlHHIFkXnTqANaCztbcAW7gptSP5jADrmWEHjv3d2PuCH7AWxDwlgS8FQGPZN6OpYxj83O9TSyacEfx7hSprM7Mrtc9ax0tzH4ceF0OZjfugJcaVcj8QQHu%2Ffqy%2BfXiANgCWg%2FUSno0S73oNNTJ9snrXRcEO4qFSEEdj%2Fj4BCQl6acB05CWlo7UVLp3ZjZOPPFEvPbSC%2Fjk3Tex%2BsGJmDPqLiwY1RlLRt2BxSNuxfxht2DO4Fswvf%2BNmNDzaoy59zLGlt%2Bjz03nYuz9V2Nqn5sxd2hXrJrUG6un9MEGvfBn7lBTu6L3rmxdNNr2RFw4hLm7N1ZNuAuD7%2FgL7r%2FubPTpfAnaFGQjmvEkkfsV0YwnXfuqE89CpnVw7r83lAIAHiLgmi8grscsj8v9roC3ZJmhJZ1akLcm5BFyc%2BXyVoKaItwRar5XbQsB128K2cKpVH%2FZoXKQ1wM8NOuavBsC1fcBuNapF%2BHX%2B87AzRNM1QdcUCt2RHFoIXcgxzJLJyYkIjk5BSkpqQGlMoYERKjT0jICKigoxIUXXYg3XnuVegnvvPoU5k3si%2BXT%2BmDJmK5YMvI25u3bqTuxaGRn8xjbwpFdMH94Z4yko9916Rm494rfY3jXyzCp142YM%2BROzBt2F5aOvZ%2FA98JqFkZXTeyBlRPu5zLuwJz%2B16DHVb%2FB7Rf8Er1u%2Fwf63n8TEmMiEUOgolu0JAQWMDVAOcAluVy42%2FehyAHsl4PbAO5dRN8acAc53bo1QW8dqQtI6%2BO4oPY6VbUi0JJ92sg9cSSFWb5vPBzcPwzAVXj0ubKRWZ8OoHUSAzs%2Ft9unAqj%2BdoDzdiy4WxLuVoI5BvFxiUhKTEY683MWI0ZOtn5MKs8oV8otQF5uPof5%2FC4fWZm5xq3T0zOR5knzFhcXYeCgAXj11Zfx0ovPYffOT%2FHSU49g1tgHsHxKL4J6F8G%2BA0tGd8YyjqvBZ%2BWE%2B8yzmotG3oUNswdj9D1X4eLfdsTVfziZsJ%2FF6HI5hna5mBHkIoxijBl9z6UcXowHrjkdN51zLG7%2F20kYzwLslCFd8Nuft0erpk1YAON%2Bcf91wszxIOAtCbjpEkwdTsAFblBhAPc%2BO3TABXdzLkt3B%2B4TJdCVpVu11DIFs6ZXIdoPuJV9ptRbvk%2F6%2BwcMuHXkuq6s22wwT%2Bs7OXJsbKzJyfHxihWJSEhIQmJiCpVqlJaahewswptjAc4zMBeY8WyBnk3QCXVOdgGBZ8bOLiTgBcjMykMGQU9Lz0ZqehaHGZwnB0uWLsIrr7yEt995C59%2F%2FjG%2B2fslNq9fjJWzR2LtTP0CQw88OrsPHpvbHw%2FP7IP103ubevB1U3th7bS%2BjCPDsJlxZMHIe1ggvQj3Xnk2rjzrRFx%2BZidc%2FfvjcNXvjsWVvzsG3S45FePvvhBrJt6DhWPuxtj%2Bt6IkhxcrywYRvKhbU614rNy5EDQONhnB4QK8rqzBuPU4uQgTfp6g%2FIA76cKU6lwsWh7hbqXzbubldJo2BG7JObVZvk%2F62wEeQTNw%2Bv4yuAHbqT7gAlvxQu8sEdCJLPilpaXRWdORkaEfYs007hyEVsBa5eUWBsC2KiTwhZxWkFNZnI5gC%2FDsLCsB7iDPyMzheDaqqqqwefNjBvB33n0Hn37%2BGfbs%2Bxoff%2FgGntiwDMunD8amRcOwbfFQZmjm6vmDsXnOAPOs5jqCvmLSA1gyrgeWju%2BJZYwjK5nBH5o5COtmDMSKCT2wfNy9WDG2G6G%2BH4%2FN6o0tnHfV%2BLuxYFw3rF4wAqV5cchKS0UcIVftyb8fcCu3HqfGwC2Fwi05wHUH8C%2Fv3wq428Bvq3DLalBcuYW6OZo0UfdJdXSK4AnUlR2BrOxsZOWEUw6Va5STS7ClPDp0HRFoKbfIKk%2FDYmQL6JyiOsri95n8PIvg%2BwHXLxufePJJeOW1l%2FH%2BB%2B%2FivfffxaeffYK9%2B3Zj%2F%2F7d2P7FR9i8cT02rZyIp1aOwdPLRkMv4Nw6fxg2zhuMRwn7xgeH4dF5Q%2FHI3CF4ePYQbOBQBUxVG26aPxRb5utBCb04aCA2ze6PZQ8OwNKFY1igfRmrFy9AdmoayvTz4elp5iFoP%2BBSABCf3Gehakyk%2BHdK26Sh4A7dVvvsqLsIrELnDycHuF9hqwkPVWFBbkge4HJrxQ05s3Fjk5UFcDi4pSDg2YRbylGWJtiSqvZy84s4Tocm1EGVEmhBXuJJ4xZwI2VxQc67QSa3Izs3F3869894%2BdWXCPh7Rh99%2FAF2fv0VvvlmL4D9%2BOrLz%2FH81mXYvHKcaa3Us5jbHhyJzQRdv6sjwKXH6MZbFo%2FB1qVj8SSneWq51dPLOc%2Fyieblns%2BvnITHH5uBLz57GV9%2B%2Bi7mTJ%2BOfG5HAWOSIE9NTOAJ0%2FEKHu%2F6YDSsHxrgtozVEOCS9i%2F4Xf356%2BsHC3hWZhaKCgmh4MpgPFBE4MnNIuwHUjbjh5RDGccm3AI8L5%2FLomvnEFwLd4kBPCfHJ%2FMZQXcy7l5oHFzrzs0vwE233Iw33nrduPf71EcffYDt27%2Bgg%2B%2FFP%2F%2B5H9%2Fs38eC51t45ZlV2LpmOrYtm4ynlk7C1kXjsGXRGDz2IMFeNApPCv7Vk%2FHcmql4Yd1MPE89y%2BmfXT0Dz62dhXe3rsSet7bin3vewM7tb2H7Z%2B%2Bjf%2B%2FeKCsqQWFeHorz88wwLSUFeqdia5VNvFu6xuuCEV4%2FPMAt3IGootqZcHL7YGKMhdip3vL42Q8OcNVd5%2BbpF4UZFbIYDwzggky%2FMEyAD6AcZmsnxZA8OndeQSGXVWL%2BFrA5dOoA4LllIaKr53nyIku61i%2FnLCzCPffdiw%2Fp2u%2B99w7epT786H1s%2F%2BoL7Nu%2Fx7j4fuPkO7Fnx7t45an1eHzlHLzw0EI8sWQ8Hl8yFpsWjsIT%2BsUHtVKum4bnH5qBbSun4Ln1c%2FHSowvx%2FjMPY%2Fe7L%2BCbr96j3sHeXe9g14738fkn7%2BGyiy9ESWEhinihFRXkm2Ex%2Fy7gsUpNTkEMyyb6WRLViwcgOIB%2BkID7ts9fU%2BNX4AcM1GDnA%2FcHC7gOtJ6Va6XmVwLemidJcCteCOoMr7CnuGAc2nPWcDIurXydV2xcW4DnFxQjv1CAe9MYwAU3Ic4uM8rJKQ9CTrjNdwHA7cVVVFyCXn1647MvPjXx5J133zIRRYDv3bubkO%2FGN6CTYw8h34P9uz7HOy89gzXzZ2Dj8kl4dNkEPLx4LB5bMRnbHpqFpx%2BZh6c3LMDzm5bjo9fk1p8A%2F9yBf%2B7fgT1ffMC%2FP8fe3Z9i186PWYh9Gz%2F%2F6U%2BQy3JIEY%2BNVMg7kxEv4EJefLmMZimpBD0mhgDUhdzkcRcBeLxtPv%2FPBFwy34cB3F9laJbn%2B97p3w84D7wDXDUlOcy6BUWEksqiE5sCn2QAF6QWPL8UO3Lz5MqEmoDm5UslxrkLCkvNBSPAjbvL2TlNbp7A9uCmcnMr%2BJlUZr8zLl%2FMiKI7Bx2zpBQjR47E5198ZqLJ2%2B%2B8iU8%2B%2BSgAuLL4P7HPDLt0vQM%2FPeUEXHH5hZzuFXz%2B5fvY8sRDWLd%2BCZ7Y%2BjBeefVZRptPzR1A8eabb%2FaZiKP5v%2FmGF8u%2BXdi%2Fdxf27tmBr776FI8%2FsYkQszxBty7iBRsQY1yhJ92pcvJsWSE1Lc3UOLkfmDJw8%2BR%2Bl1%2BM%2FneoMYCrT4rtMmsBV82IgzfUxRVj3LRO%2F17AW%2BgXsJpww1tDP5Sv%2Fh9FJWUooFvmlxAwnsRsurGk8RxCmyt4BXGI8gvKjAoKy71xfWYBz%2BPQ5nBFF1485vtyfleNgoJq5OdXcRmV9QDXRaM7SDYLrSWlZZg4cSJ27dqJTz792Dj4pxw6wAXpe%2B%2B%2Fg5N%2FchLnzeIyczh%2FJqprynHNNVegf%2F%2FemDV7GiZOGovRY4ajX%2F9ehPdzA7iizTcEHLwHaDn79u0x%2BvjjD7n8zzFkyCAujwXezEzGlBIjP%2BAyhFwCnstsnstsLshT0lIRFR1F2R6FBvCQWpcfmv77AJe4gWqwUWtkalq6B7hVHuHMJai5BDInn38Tyvz8Sp8qKH1mVVBQEVShk0Am5Lw4rKtz2fy%2BsKiKcNQYCfDg8uwwj5Dn88Ip4vwlJRVUGUaMGIHPPvskALjGBfiePbvovt%2Fg888%2FxcxZ0%2FGrX%2F0S7dq15Z0h20BZWVnF8VxUV9WivKzC1NfLkXv17umBzXRihiyo%2FnMv9tLBd%2Bz4wixfMeiMM05HaWkpSnkXKSLcxrV50RZyv7RvBUXcP36mgrCtSZKT5%2FDOkx2QXgdtq2Hl5mpb%2BOFFFKnhWhTKB6qD%2BgcPeCQPfPPmLZCUlEIQqlFRSehKyo3yi%2BimBDJPjksg84uqA1Ba6W%2BBGl4FhZUe4NbRC3iBFBJ68z2X5xy8oIDjVH6B78JhHi%2FgRVVcVEmwKlFWWo4JEybg66934DOCLLcW0AJcrq5oQkwNrAL%2B448%2Fxssvv0LQ25uLI5%2FlgZrqdigrq2buz0Pbtm1x2q%2F%2Fn7kLaH65tyLKfkaUvfu%2BxhdffoLde77G2rWrUVtbw%2Fm0LXTtIrq3alMc3J7yCL5iioXcAU4xt0vJycmmkczfszLcOfu%2B9cMAXAtqhMIBbWtLnOxzhAmJSSgvr0RVdRsCXosSQlBUQugIVz4hzResxQS6uJaFvTZUWzPU34VF%2FJzgF4RRYTFBpvIIty4SLU8qLNZ3nEaAU%2FlGBFwi5Hl0eHdHKOb8paVVBKySEWM2Qd6JTz9Tfv7QgL79q%2B0EUhHjG%2BzZu8c4uf59vWsX8%2FqXOPEkFg5ZYC4prSCo7bmsStzfvSdefuUV495fbv%2BC0%2B7gOOFmQVVw79j5Bb744hNzAZ133t9QWcX1l%2BuuEx7wfOPgAlwuroJ2PmOS5%2BSmnSCbZYkMJKekIDYuzvSiVJ9q4%2BKqXuR4w9L3B1dYTg6q8Ms6mASuUwS337yGz%2FvuYGo04GHhbYw8sK1a8YAnoJjuWF3bDuUVdKryGpSW1aCoVOA6pybIgrukDadt74mQ829J3%2BkCKOD0dUQ45fx5cnGOOxnAS3QR2Oks4A5yAk6XzxfcJTUEU9tTjdLyKsyd%2FyA%2B%2BPBD00T%2FyWefmeH2HV9hjwAn2vv%2FSQ%2F%2B5hvs3b%2Bf498YdTr%2BeANmeQXvBIS0e8%2Be5gJg2uZ%2FTbcPe1Ww9AqXu3ezYLnjc3z55ad46qltxr2rqnlcKrjtjCEOcD%2FcToLcllXUyBWE3ACelYl0Qi4pn8fFx9uCqOrQD6CwThoigROWk4NI8x3KslRbEurMcvfQZbnGI7%2F%2BtYCbfiYCXFWCUis6TB6hlkNVE4JaDunghEpwFcmhCXdRkWBua8AuKTvGkyBvVw90Jwsusy%2BztGA2F4y5C3ji8gMXQgByC3i%2BXJ4XhrahtEzbQxeng2%2FY%2BBi%2B2qmI8jnhtmoIcGnXnj2ooPvmFeSjbfv2ZvzLr74y8%2BzdT8c2cDNzK5bs32UA3%2Fn1lxbw7Z%2BycDnQZG8BXlGlu03jAJeL664hyK2L5yIzK8t0N3BKzyDodHS1GrunmMIpFJpw%2Bj4AN0D7FbIc6XsA3MHdyqhly0g6ZUkA7vKKtgaoYjm1oGUMKS5uxwwrmAV1B7pgJ08dzd%2FFZQS8tC7gDlg3dFC7C8HJub6myWMGz1MGV25XAZQqotOXlbcxgBezTPDMc8%2Fjw48%2FwudfMkJsJ4iEfTdjiZxagJsUTcClPfv2EebtXJatvquorMTosWM89%2F6nmW%2Fvfk8e4F%2Fv2k64eWf47AO8%2F8GbLKz%2BgvtebAqphcUEu7jUDCU%2F2H7ApVzTBqCqU8UVVa0WICtb9fnqU6O4IhHydPV3TzMd1xqCPBw4ofp3Ay6FzhdOhw74oYpZyQHekmrdKsq4kGKJQCorJ%2BAerFZtCZZcWs7dwQP8WF4Ix%2FKW3ZEi9OXhXdwPufvMTsMh3byoVLFG33vZ23Nw%2FS0Jbsk5uAB%2F7Y038RELj19u346du742EPvh9gOuzydMnMj1FqG8kvm5uBhPbNvmgb3PDPfs2%2B1pl6k52bV7O5f9CSH%2FFNOmT%2BT6C0zhsrSsnMemkvtfEYD82wBuIFf3YEYW9dkR6OodqRoeSaALchVC1VCk6lr3E4PhwAnVfxTg4Sb8rlKDg3kynSV3m731ebSpflOtQkmp5MUSD9ICglhIwIsUQxhHBHdZ%2BTGEhYAbdaSOIeR0cQ9wB7KkGpec%2FAof4Fq2wHYKAm4hD7q3H%2FBixhtdgLrtv%2Fv%2BB8bBFTME9zdeJJH8kEtf796FY47VXYYRo0Z3kSJMmjLZuzD2Mr7spujae77mcKdx8F108C%2B3f0yP34e%2F%2FPUPLFyWo6KigsemjCrn9h%2FEwU1hujQAuBWBF%2BhqJCPkplMaY6HyeRajiuQHXUpNTfVaRO2r6w6mwwl4YxWujtwvN13oth1hX3RzYJmF6E1JB5GZVuO8%2FUk6YK6KSn1MKlSgpDsKcIEkoBzc%2BVSBwFXWLqd7l7dHKWEW1BVVHQNygPvhFuwCOyevIcC5PqqwxNay2NoVC7arYXGAF%2FI7xaeTTv4Z4dxt4okkgPd9s79BwF946UWuo4T7VRIA%2FK5ud3O%2B3fwWxsF3Ee6du3dyubpgCLpx8I%2Fx%2Busvoaa2IgC4HFxwHwxwVaka1QHc1azIyV09uQU8l%2FlcUjWig91J0cVCXh%2BuUP1HAW5%2BrMkn824N85YkK%2FObNZ7Mz18fQGa66OAT6%2BrXrc5U8QmJPGnVPHltUM5CZalxb8HETKxcLEAZVQrp3kXK2QS8mICXEGYBLcidSvm5AZrzBSCX%2B%2FPvXNVnq8qQoEoqWFrAGTm4fgO4qiMN5HVlMrjGCysM4H%2F52%2FmMEftNAXHH1zuN5MSSIoeD3Wbyf2Le%2FPnc1nJuI0Gt1p2iEJdcdqmZXoDv2UfA97JQScB3fP0V4d5hMvj2rz5F9x73MrOXUg5w1egIchaYGwKcUU9VoVIo4AZy9dHJF%2BSqXbFS07%2F6sKgRSspmdHFSY1RaarophOqtA7b%2Fir0T1xMLeX6IGqvvBfDoaL0uoa5i%2BVlA%2Fs9jow%2BsuBjExOpJ9WiT61TnrQeA01nIqahsS3AIOFVW5gFe6NVqFNORBTezdxBwK7m4IDeqlLO3M0D7s7ZAVs2JakMC1YOCVncJOrcF3Dq6PjN14h7YgajCPC4Hz8sv47a2wR13diXA%2FzRgq3BpCph75MK7vTxtQVcEEej3db%2FfwF1RVUnAtdxCXHDRRSabS5p%2Btwf4VwR859c7TGPRp59%2BiJ%2BcciLatGXBu5wXSLkAr%2BTdgPlbDWBhMnigRoVwS3XhVguuG1dXheCDIHkaGtDtuGT632cLejq9CqaZ1s31FJXL5fX1HwR4jAdmnBP%2FjiPMdaTP%2FNMcRLG81cXExBLyaEIezRI844kHuKoFVe%2Bt%2FG0cPATwYgP4MWEAZ%2F6mgyu6%2BAE3BUnmazm1gVfL9QBWnbhgNxHFq2s304UFnFBxXjm4AB82fDSB3meAFsSSzdFWfsgFuB6OkIO3bd%2BOkGu5BQZwOb0ANwVNFjB37rKAq7FHgL%2F73luoqalCdTWjkQG80gBeEoBcLh6EW84dBNzKwqzuwup34wDX3x7gHGo831NBQVFADnr3ULZ19GzzWGDDkP%2BwATcPMHs6QkDGx8ciXsPYukogqEYaj4tthOKpOMTHxBPyODp5HOISks3JCMCtargyW7sRcGABXiJnZiwx1YO2StAVNI0qVMhUbcoxBmpB7sAu9ob%2BcQeva%2Bgx36lKknLrVuunWjFz1VeFDq4aHRV%2BFVEeXLDYAG4cfId1cBtVLOgOcA313Uk%2FOdmAXcV4IgdXBn%2Bgdy%2Fs269egyDgtp5c8%2B8k3HJzdcVdunwJ96uMub2KQyu1EwQAL63kvsrJCXpRiNRHhVLvSSuN27%2FVhC%2Bog%2BBbR9d36qxlxHml%2FEJOY5r9Nb0cPo8XQr6pk9dFJ9BVjvq2gPsBdQoHp%2F%2FNv99FoY1B0hGCOyEhDgkaeqB%2BV8DjCHecII9NMA8QqMXSAV7iQVbs6rINbEHAi0ro3F4deCjgUinH%2FYBrWbpgHLxSaUVbOr1aQe00gQvB%2Bz4c4HLwUi5HgNe26YiHH9nIAqKAtPn7q512KCdXgVOFR4GuGpZnnnuW6yox2Vtwq5BZSjAWL11inNsCrjjDiGLm32lqUzS8%2FsbrUV3Lwrfc2wFewYvNQM5oxaEgV1ypo2LKNOEHIZXcuAPc9Y9XBy2X51V4LdadQY1IvDuoZVl%2Fq%2BZG1ZQlLCgL7spKxi0qJyeHcPqdvD7g%2Fp6BB9L3BniiFO%2BJsDak8GA7WcBj6dwxUbxQ5N48sOVVtTxpBJyyDt6WB9VV9bXlNHZYWEzIiwW5GnqsHOiS%2B8xeFJLn2gZcjSuKVDPKMA5VtuO6PNAFtZnOv14LuIkoasmkgyuilHHadu074dXX3yLAqt6zrusA17hfagCaPmOGaR5XLKmuqTF9SSqYx1944QWT29V3RU6vC8JeHNLXpgAbzO0shFfVcL5afqZGMN3tuM0hgBcTbCcHuIE84OLWjZ1bC3Dr%2BLwLUEXFLMByeaY7gif9rbuFVMV1Z2XlEvBy0xlOUuex6KgYgh2E3NWO1XHq0MfMwigcmP9KhQXcAdt4sK3i9Qo0Aq6DER0di8ysHEIt4AgOc61kABd4Za7Bph3BEGxt6D6EvIhZ3Dh53QYfjeszqQ7ghLLYwCvZQmV5FQGvasf5gs5u3J7rCwe44kwRo4ytA6%2FFsZ1OxGefb8eevTaDW5jrwi3gJbVe3nbHHXQ%2F5WMCTjeuIeSqDXnvvfewm06%2FZ68FXJLzS1rek08%2FxfWVE2zBrZ6VtRZwtfKaOFfDY6WL1gOwxMp25%2BU43beOiwtuEzMoQq7PFG3MhVGiMoatotU%2BujuquavKGLg8e1fQQyEFBLsGVbzgJAEew7vyAQEn2MaRTXWx%2FTtU%2Bj7cjw80JPMu9zDQfhsdodoPk8EFupMP2sbA7ea3L%2BOJNwcjMTmFJ4W3PAO3HLytUWmFnFXwCVa5dluCYeHO91RAyPW5c%2ByAewt6D3BbTRgEvMTAYEGXg5f5HNyAbmJKsPXTwO0KmXTw%2FELrcCV0sxNPOoWRQlWAez0Yg2AH5aLLDpx51u9QUytQSjmsQZs2bcyt%2FcMPPsQexhz1OnSA644gKapMmz4dNZy2wnQbDgKuQm6gzEKDkItblw06rXorFgtek80VQYJZ2gJeZL7T%2FqhlVhBLKuCri0RVNeMfj4tkC%2F08BiywCm5BXlPdBtWEW1Kf9ri4hADcDTm4P3bY9hA7DP7wQCtER7Y%2BqOpB%2Fh10RLSq%2F1Tz4dWAGFAFrU%2FhoHYKwh1reqxJqvdWBizjSQu4N8Euq2hP2VoRdZyysYRAF7Yzyi9oy5PThkMCT0d3ju1AdzKAm1qUIOClBgYruz5dUITc5HFeLDyRQbjVrO%2BDm2DrcTXbT6YKPznlZyY3y70FooN6p8S%2F%2FVLcUA%2FC2ja1xrklwX3SSSfhy8%2B%2FIOC7sZcXyh5C7SCXVLNyZ5fOqG2r2iWbvf2A21qnIOAmpgQgt3KxRbUsBYLcuLgtTKorreBWq6y5IwQcm8vmcamt7USwBTiPE4dydz3RVMwIU13d1jys4QCv4jlU%2F337DkgP7DCAO5eW3Ftu9evR7pc0BG9MVIRRbKSV%2B9svN30d%2BaBvUGHmCw94vIZ%2BhYdbCsIdi1jCLSWnpxMoZstqwSb3DgKuhhrJAW4iRxGh9WQcXFHF%2B67RgDuwnUIAtzU39QE31YU8qXrMLZ%2BAtGnXHj%2F%2F5anEGwZeQR0A3APaL9WklJbT8ejgDnAV0s455xzsJdQCXDFlFwuYml7uLcB1Af3qtNMYaRTbKgl4XQdvCHC%2F3IMipipRVYimilBSYVN9frRMuyypkrGtgne26uqOvMscZwAvJeBydEU0PSxSyelrCHiVAdxCrhyenJzaaMAFt2QaB%2FXy0GirWCpQ9RwdhXjK%2FR2vJGGqqKMD0wt2NTSaxsZwQIco2muY9OuIGC5QMcXVYccJ6IS6SuBnii6JYaTP4xMkFi4Jd0JSsumfXK5bW5VAc3AzS3vRRHA7eG2hskMd6TPn7g70AwGumhkBbrO3J55IxRS7bpvHGwLcNBARiEpekFXUmWedZQBXrUcQ7iDU%2FsLi2ofWcZtKGDUIAwuKUhFjwv333otv9u%2FHN%2Fv2G8h37LDVjJpXgL%2F62uucTw9llHDbrHvLZSUHpADXHTAQU0JkQFedOSOI4NTD12r4KSxShFGPTRV4LdiKJFXVxxjV1BxHBz%2BO65cJqEuEzoPaEKr53TGorWlPsDkf120Kmlx%2FRnoWo0lInTgzroPbxhELtiSwncICTu5MTR2VKNEsDU8cxsXqe83D5ejHqHgXCEDvlhXFZYXIf0EEAA%2B6tifCmpDIFfvFz1X4TE6kO4coiUpMkhIM4OkZWXTvcpTXc28LuK3JcHDLOSzUxSXHGBnAmcFNodPTwQB3EUVgN%2BTgpqrQD7ic20mNQXTxqpo2jBrt8NvTzzARwkEcVLCRZ5c3fuXVV3EZhQSy0rzLUPXGZSWlWLFsOeHeh%2F0sqArw7du3m1oTN%2F%2FAwYO5v2pqLzJRokLPbzYIOPexIcCZxZWdLdSclhe7K0TqohHgVdUEloBX13QkwMeiTdsTDOAlPA8mNtII1EAmEwgLOKW37zrAVWVo%2BxvZGOJ3bRNJBJcAJaiSWsP9UPslsJPFVoJlKYnDRGOqmtaCbmH3we0tT3cAv4IXj5Va4oO1KAI1kcMkiUAnceUcJiVz5cmEWSLISQQ5qEQqiQVKis7tsnep6nF5UkxsMHDb7B2s6rNwC16%2FS0v6TLUqRgWC0U5TVOx3fVuL4uq3VXOiAqYANzlcWdOAbQuYDvBwTwHpIpF7qRahqkZQVePCiy4xrZMWasUSNe4EG3gkufF2urIadPSAg6vuKy0rQ9u27fDBBx9h3979RrtZ0PzqKxZIv6KL79xl7g5%2FOOdcA29VLe8uZtst3FbaDitb4NQ%2BEXJV6dWRPtP2q87c7rM93pyXx0KqqGrPO5PPvWuP5fYR8DYncJmCuwNKKR2f2nad%2BH17SjGGdzNedKpFqeGFr1ZO14kuqLqAuz5LDnAHeawHeRB0Kdq4tTFOQp1CnpIlMWgAJ7RxEXTz1pyWQw90p3hPCVy2k%2F72T6M7xhECOwAsIRbQVh7cKQlISZUSrVKSfEo2z%2F0lp6ZymIbUtAwCWOoDPOjedQAvsREkUD3oA12f5RXUBOSm8V8AoYCrA5V6CzrABYxrMVUVoY0nBDoEcLcc3ZpVaKuusY%2FRXXTxZXRwFjLpvKZBxsBN7Q0Crsjy7PPPGbjVRO86Wmn4k5NPYST5mu79DQH%2FhvnbAr59%2Bw4ucx%2B%2B%2BHInTjz5ZygTQHpu0zh1COC821nABTqzsrdfrqZIMhewkb1LqdbIHG86cgVjSRBwwk1nNg4uwNudyMLtCeacCG5JcaVN%2B%2BPMMajmha6o5gqZcvBiZvz6gFMEO%2FRHsEIBr%2B%2FkFnDj4ARczm3gNuLfTBGJCbwA4glqrCAPAh4A21NiXHRAdWCP4zo4PCItLQXp6ameOJ6RTCVRid64lIKMgNJ8Sud3GUgzyjI919RJX5lRjmMPuAqVgjsYMUzM8GAOp9x8dX3VEzcWcge45rEXhIPTRhQTMQh5OWEooXsHTr4B3Mo8shYWcF0gnJ45tpq35ko66eVXXG0cXI6tHoBOu32Aq2VywaKF3D%2FuL2NJCZ1b49KZZ5yF%2FbxC9u8LAr7jq68J%2BE4wseDJp58ntIKaBUpCaJ3XOnZAPsAl00hmIPf2TxeugdpWuzrZyNHeAK22AAM4x6sIdzXjSU1NJxNRqhlR5N5FPDaKjuWcpy0BN5m9ug2HwXhSpgoDFoRd3xTXW9TKRhMDtU%2BKEuEAD4rlPhUsGZGtk9NQmSSSEjlkLHaAy8WtkwcBN3BzeYlUEsF2qgM7pULrEdnZGbz9ZHrSeDpyctOszN8ZyM5OR1Z2GqVhRlDqS5ydhczsbPPUiOpiS1lgEuA6EfaA0yHUccrL3Q5w58aSoojftQV3dq7qZQW7OkapHtvOU1isCKPPBGgI4Dw5OunGtf2A050Ecx3ABbaB2xauVCirrunAwuIxuP7Gm7GHhUMLs8B2qgv4Xd26cf9UFVdXl19%2BBfZxfqc9u%2FdiJx1dLv71rr3o3qO3uaBcVi43dzkBHSof4F7Zwt2ZbB1%2FsNq1jghuTZtOhLuDURDwTka1tccT4mNRwoshj%2FGshOupbcvP2x5rCqSm5oV3snLm%2FArejSWBnpGRaQC3PUXrAu6HOwC4MrMP8HByri4YEwi74ongTkwgwFQAck5bD3DOl8T5AgqF3AJOoD2QA4DnhAPcKRTwbMKYSzALCRJdrJzubRxcgMt5rLO4VkT38LCLJAZwunY4wPWd%2FtZQcB8McN2WtT7bLF8f8KAc2OpSq%2Bo2Rhxm2qpaZlVGhutvuhVfB1ofwwO%2B%2FauvcOr%2F%2BxXXZ6HWE%2FQletSMf3fp0sXUfe9TIXM%2FAd9DBxfgdPDPv9jB279cWtWBgldAtTcO6oZuXN%2B5LB0AXE7uHVe5dTlhtmUcpw6cnlmbgAtsAzdjiRHhlmraWMBV4M8n4GV0%2BRoCbvafBVK5uACv4HkMB7i6Qx8%2BwBVDCC7HFStUuFT%2BFthO8XH2e39McVHED3RSfAwLrEEJ%2BCMEcm5eOnJz9ZMdVJ6Gmd5n1tXl8llZ%2BlUF%2FfJYEHLzkpmcbLqs3uVXxgOvk%2B0BXieDe9WDPKC6Hao2I1%2Bvh%2FBB7mCWYwtwKQA4LwA3rQD3xwsLeLUZyq20LsGrVkvXHUDSOm0tiu0PXmSmIeC84xRwqOZwFfgqmT9vvOU27DD5m9r7dT3AVZf97PMv8A5TxDuWfQJHj5kVs%2FyhTD5z5kzCvce8ok2vatu162u89trr%2BPrr3XjyyWfNK6KrBJEPcD%2FcQVnA1TKr2iCB7Ybaz9DpFU0EeaXcmhFEwwqqspawU37AKxhX9HBIqS4KrqeG09XUqiCqeNOO22dd3MUUG1XKA89yysUlP9ChcnlbLl0fbsHPgqAXPaRYFSZVqBTwhNqCLuBtjYqT4ockqAVyCp1fSva7OZXIGETAUwmzB7lR4wHXq8r0CFRBEU%2B0B7d5z4mRrZs2jkO5QpAOqKr5BLhqRvyQOyd3gLtM7i4AwW2ihgd4oJBJYNUUX04n0skS7PZuUR9wO4%2BFW3XIhVRBaQWKuP2VbQgbIb%2F5jjuxw8DdMOALFy0xT6yrzKH8LbjVU0%2BAP7R%2BHR18F%2Fbt32Ve7rNr1w588MGHjCm7MG7sJOhlQNXVvJh4x6lURlaM8OJEeXWIPMCV0QW3MwwHdYWm8cbt%2Frcn3McawKsIsYPbr6o2x3HZHXkM2tC5jzfuXk2nV0TzA%2B6qCVWTolqV6uoaY2ruQeXDA7iDujWX28qOE3SbvQm5B3M9wD3wFWn8ru1gd8AfIZDz8jN8ykReXhaloQBm4TEnizuWGXRu5vVsxRd%2Bl5efR%2BCKCZGcjPmbt3rBrQwe6BprpKo656IOUlX%2F2XpxRZdCfpdXUI2snHJKrYs2suhikEx2pvIKFSt4gZgqQidbJWnvEFxfYwAPOLhtMKki4HLxW%2B7ojJ2EeJceM9PLeTzA9dCwsvdHn3yMwUOG8c6i%2FS6n1CekxDi5AH%2Frrbewe%2FfXFnI95LBzBz766BPs3rUP5%2F3tQlTygq8ktH7AXV4OB7iB3MFtYNa0ela1ripViJQ7m7%2Fp3IwhcmpJ31UJbkFOt5bh6Bi27XCiiSf2LqIWTMGtYRuqNgB4u3a8CCurUFvTxnuY5dsDbguXTta9%2FYA7xXsObht8rOoDLndnRGFeTyLokh%2FwVA0F%2BAkndmwAcCmHgGdbwAW1B7n%2BlrML%2FoJC%2B6phNVaoP4OetzQlfA9sB6D6f5sGGsYKQWqhte5s4wanNYBXscBaRnfUs4bVRnnmFQ%2BKFnL0KuQWlHOZdZcvmcztAS24%2FYAHFQ7wYESRbruzC3brAYUQwOXgaprXayQuuexyc9cKAK5jQMDbH9OBUeRr7CLgiil7qZ07d%2BKzT7%2FAKy%2B%2FgXYsyHVoT9c0cPsAJ8zGjT2V0UmVjQOA884kCe7QB7GdqunMte1ONN%2B7aeTUAcC9iKL16DjojtrumBM5HdfHcRV4K3khBQGXVFVYi%2FbtGF843oYmIMAVU%2FS447cCnMCZp8OM%2BB1BDlQD%2BhTM3HZesxwDPQFXTvcAdwXRJI5LKQI8PhapVFoch7ExOOKP55wVBNspADgdnEM5tYXaOrmpcWFez2GEKSwqJNzlxrltd0wHt2Bzjmnhdc4tuJ07W4cmyOYlPPZlPBnZeo2xXodAmH2Aazl6zZqeJDd1wWa5hNtzc%2F1tC5c261vIBTvBdgVOyl4QHuCe%2FBn89s5dse%2Bf%2F8RuwqnHzJwEt5rt9QoJ9SNR7z1lcIFdXKqIUozTzzzD9AFXD0LBLalAunPnbsyfv9i4ZG1tR68w51QX8DKJnxtxelX3uQhi44h18FDQ5d7VtcfT6VUW8aap5jSEXK6tyCIJaMU61Y%2B3aXcct593v3KWl3TXZaG7nOeyslL14OpRqGjShhdmB%2BPeerloEHCqAcDd87yB53U9sIOtmC52WLeuKwtywMHNdL7srWgiqAU3lewphXElVRLgAp0ufsTMmdNN7q4Ldl3Vhdzmcs2Tn59FoFU1WGmcW%2F2p9dBACcF2kUSu6aKJjRg2VwtsAy8dW9OoX4ierMnNLyfcRUjP0vu9BbPeHWjBV9WfXqmsVyyr1kOgmkKjL67YKkIP8IAEuHV85%2FrBGhSrYjq5AK%2FgyRTgeqWmgNbT8H598tmn%2BPyLL1DbVmWGAoKkGhT1ty4hcBXocldXk9HtvLa7rd5r%2BNY77%2BH6G2%2FlOlRtx5xLiKsUK8K5t4Nb8udtTqscbi5ibx8d5DaeqHXSvnnA1KZ487jlu1oVObeOg1o2dYHJuU3XXJpGQUEJIa%2FwAFevQkJe3ZbO3cG00KozmTJ4AHBGDVPfHQo4wTSuTcjiAlAH5Z4WC4IelL9gKec2YHM8WFsieVAn%2BsS4kmok0GONox%2Fx9ttvmwLlwQBXVHGRxRZCM%2BjeuTwozJ7lXjQR0F7WNbEjMG7hlgs793a1Jbn5BMxEDwt4dm4p0jIK6gEudxfg6tqaV8hIYBzYA9xAboEPBVxVlOZv4%2BwCwzp4KOB6sECFKz19JMD1z1QJGue2cCuifPDRh9j65JN0Su1DHkGyDT1y7w4dj8HsuXM47T5m9f3mQQc9FPH%2Bhx%2Ba5f38F%2F%2BPgAuyYNP5QQFnLBHUzsG1D9pf3bV0h3KA26q%2FTjSL9jwGKohawN18bh2S7nRqvte65dwCW1JbgN5bo2hiu8y2NT0LJfVP6djxWDKQZxp8BLkB%2FVsC7nqhugdpEgmhrfsOIw90Aa4qwBRBa8TxREKcJBFop3CA68DfcON1Jk%2BHg9vKwh1Qfjazdzav9HweINV961EvQkQnLjEPMSiK2HztakKcazv5AbdwM3PTnbNyS5BqAC80L8E30cXr8Wde2lPMwqceTjBgenCHBdzKZFe6oP3OD7jmsTHFNO3zBCsT63G1a6670QBpu7YGM%2Fj2HdvNm64GDRlMwPSAAeOZnmEsUzwpoorx%2BNYnzIPGeppe8%2Buxt3fe%2BwCffv4VOhxzAgFnVKCcm0oVVLlE6PyQmyG3X3co7aPAFOAB4L2sLbCra0%2Fgd8eYjmpqL9DFbQqlpmCqC0HVkTweiiEE2Q1LzF3XPhChz0zVoKkepMNLXhYX5J2OPd50utLv%2Foc6uBHBdrI1JfUBD4BNJamZnlEimUAmE0i1YpohwTQKOLYfbge4D%2ByDAW5cnK4cHm7JAp6fn2tUUJiDouIcQl3Ig1IeBFxPxXuNMf4oEk4OcOvSNlcL8IzsIqSk59UD3PX6E9iCXGoYcAuyFATcwhEA3MzjA7zC9kaUi1982ZV0bgFqm%2BoFt%2FqifLH9C%2FOZXgch9y5iLNFTPJI6Walf%2BJs8lmrmt5216Px79%2BODDz%2FG6DHjCF%2B5cXDn4k4CvILQ%2BwEv9z6X%2B2rfVPbQ%2Fmv%2FtE%2FK1KolUTQxdd5quPEa0EzZIwzgalxS11xb28V9L6ZJFOlRNRsxHeAW8vqA68EHPR4XH5cQHnCfLODM04oazok9yZ1No4wDNjGOgErMzZQDOfA9lZYcV1cpsUhPDSot2Tq6nN1cAJrfAa5%2FGx7dcADIgw5uIC8Q4How1Q84D6oB3PYz8ddrh1M4wLPzSpCWWYCk1By6eL5x8%2Bw8ZW7r8hZwwW7HAwVMJ54kB7mTgHaZMxzgpoDpA7ySgP%2F5r%2BeZQuYu1Xnv00MNu7Fj1w7T3VWxRX2%2F5djqB%2B4Al4tX19aaGhZFFOnzL79kAXMHXnvjDXQ6%2FgQ6aI25gLSOStWDq%2B%2BLICfcBvAQF5cUKQSpjRlya0%2BcNlho7GigzvdioAXcVS3qItcxqGE5qpDHSf1mBLf9JYwC85geownvYMritnFH1YNWgbhClZVWQO9tSU5OOQjgLHQS7lgVFgU1XdXJNsNHI5kOLBe2TmzhTKODS6awqHFCn06YM1ISkJ4Sj4zUBE8a95TGadLikZYq8O0FYuQtJwC4%2FvXr16cByEMBz0ZRUY4PcLqKXpgZAnhjIoof8MycYqSk5SEhOcsMM7OLkaVfRuM0KmSa17GZakbr5g7ohmRrVTzQPbjrAc6TXcyTWkLAywQ4C5p%2FPPevppBpqwmVwXczS%2BsNszvx7vvvcV8KuA2qPfLgphRZzv7jH8wF4KSYovcWbtqyhYDZl%2FhU1rYhnG0Jq72YDOBt6MaUcewQwAVzAGx%2B76S%2BJWqOV6OO6sYVY3JYQFcbgeA2jUIEW8tXV1y9OkK%2FHmfelFWklwXpiXtdoLZPjCTIy%2FQ3j0kFyyRycZfDBXgNt1tdZzMzsw4IeAwBj42LZFangwtsFgATGSGMOJ7EYUpytHHeDCqTkGalxyM7LcEoixBnpSZapSUiOz0Jmen8LiPJEz9PT%2BRnEoHnMJ3zpRH4tBTeCQQ6lcKLpg7g%2BrdhwyO2lqROJg8HuBxc1WRyAAKi3OcD3MiDPJyb%2BwHXicnJL2UsoXun5CAhKRzgcm4BrmxfbWAPBTpUdQD3Mnk4By%2Biu5XIsWoJA6H73R%2FPwT4ei689B1dM%2BWqn3Hs3C5jbWBBWxzL1vQkCrr%2B73XuPeRTNAa5H3NRvfOLkSXTZKtS2pWMTcNXU2Dr39hQLnG1sDrdZXNvgSYB7QNcRYVeOr22r1sqOZj91hzM%2FxcK7m72YLeCKQypAZxJu%2Fe6oGuXM6yQKvYeSdYHzOJg2DBU2eTxKSyqMk8u9bVTxYoqpJuxANvIaBDxGonvHqZovPoJwC2xCnUyl0LmpVMUKQU1Qc7ISkUsVZCdTKUb5makoyEpDbkYycgi3JKhzMjnuKVsi7FpGJqfL4DQO8lRBTqUQ8nqA69%2Fbb7%2BFPn17GTe3oIcDPI8HQw%2B2KsMRtiLGgOJ2RrZTlIXcjQvy8ICXm5qTrNxipDJ7y70Tk7MbAFxg2rp0ydax1wfbqTGAqxVTKuUJ7HDcSSijU536m99Cv2Hsmur1gh69jWrP%2Fr2YOn0a90nPbwrwYESRq7saFAe4HphQQfOyKy438aW2raKG%2Bq3zYpIbtu2INh2OQ3U7urBXqHSgO%2FnBdoVTxRaBLcA1rruZ%2BRkWRTfe3dw%2Bu9ilH%2FdKz8qFfjtUcAty%2BwIg%2BzoJl8PV%2BFTDC9y4NSOUMrgcXW8FltS7UJBXVFSaB11CATfvsPRn74RIws2CpQB3cKfRtTPikZUpuJORl0Owc5NRlJtKpaEoh8pOQyEBz8tIIdzJBvRcwizVBzyZgKcQ8GQCnmhd3NPpp58WHnD3T4VP1ZP%2F8ZyzccIJxxF2D%2FT8LBY2cunWzKHmgVc6IR26iBBLts%2BIlX01hBxcUKvWxEpwq8dgdm4ZIS6hwxSZ7B2XmGkcPDk119SHZ2aXchrmcFPbYl3cPk%2BpPO65cAOyHaqs3ElXA5G%2BszGHy6RbSSXMx%2B2OPYGg1%2BAXp%2F0a23ftwmcsVH62%2FTN8%2BsWn5jVreo3yDTfdxFyrJvkCLr%2BY%2B29fmawC5rannjQPQuhlQJKe%2BNE8qlIU4HqIoExvrqrUNlUYB%2B%2FQ6STj4KWq4VCDjkD3Sf25TZ9uE1d4AZjPGW2qbJdYFR4FtgroriDq9lnOrT7n%2BnnGtEz9jqd9pYTc277lSl0M9K6VKi6vLdrqiR4Cbh84ZoRSt2d%2BX06Xl0p5QeiFQHo0T2%2B7si5OuAMi3KZxh%2B4dJ8CjjIObiMJIEgScEYSA5%2BekojA%2FDaWFGagozqZyUF6QRcjTUUAXzyW0zsFzCbRUF%2FBkozqAey7e8Zg22PDIwwcG%2FMd%2FP%2F77z%2F4H%2FH8EIunYEuxkFgAAAABJRU5ErkJggg%3D%3D,iVBORw0KGgoAAAANSUhEUgAAALgAAAB%2BCAYAAACXgttuAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGvbSURBVHhe7Z0HuBTl4fUtdG7vvfd%2BaSLWmGY%2Bk%2FzVGBMTkxhj770LKBZAeu%2B9d6R3EEUEFOy9964IUs35znnfeXfn7t0LVyTRJMJznpm7O31%2Bc%2Ba8ZWaPwI%2F%2Ffvz3X%2FzvR8B%2F%2FPdf%2Fe9HwH%2F891%2F974CAv%2FHGG7j77rvxs5%2F9DIWFhWjWrNkhqXnz5mjRogVatmyJlq1aoEWr5hwG1aplXbVo2cyoWYumVHOrZlTTFmhOaWjkLb9ps6Zo2rxJQJqvBecx66Pculu1aI2IlhGIbBWJyNaRiKBatWpl5KZtzvXb9TblOLdd28L5A9uv5bTkPFyW1KIZ5zHbo22su99Nm4fZLi7P7XNrTxHcVg1b8XMdG79aRnCdVKvWdjtbt2pNRZih9kVDs13ecbUK7q%2B21W232w%2FzvVuuWTalzzivf7tac7v0tz4326LvW7dAa04fEdEKkZGtERURIn6mzyU3TUSUxOMebaXxCH6u5Uhat1lPCx4bv7x1O7XgZzqORzc9Ckc5NTkKRx99dB01OboJCvIKsXbt2vCAO7B1MASnU%2BgJbKz%2BZwFvFtymwHb9CPi%2FBfCmRzU1kNcDXNQHDgT1vQMeWHcjAed48%2Ba%2BdbbQiSYcLXlACcSBANf0zbyDKPc1y%2BFJ9i%2BrpbeshgBv2pTb4qlJUx7sZlJwu1pwWS25rFYtCQr39aCAe2olYI289XsXWUsHsDmugpT7QemzAwFuoJYaCXhgOzhdayqC80QKYF54fgnqegpATvA96XMHuJZn1uOHWwpZtx%2FwowV2EwIt%2BcBucjSPOyXApTqAjx8%2Fvu6BoHRynRxQ31YBQAInou6GG7C9oXbKD3hw3QLck8aN7PL9gLv1%2BdfpoIig8xkRbD%2FgfgCaEWxBGW5ZLQzgbnkCrFVYwANuopPAkyHA3bJacLtbmWUEATdwa995DEIBd8dCF4WV3Qazb25ojqsn7YcD3MBdH3CdgwMBLoVul18WcoEZVIQn87cHbljAOe7c%2FTsD7o6zJwt4XQUAl3O7g%2BBOqpNOzneRObGBE2EBl%2FwbHxB3yp3U5s5FpTDLbUawJQu4Hbr1Se7ESgI5IoJwS60t5BrWB7xZwHH9y%2FIfF407NW%2BmuwqPUVO7Tca5m%2FDgUsZd5OJNfYBTQTe2Tm5kALPSsTHRSOJJlVrSTa2C63by76fZD0ImsFv44Dafe9Obi0tQSx7gdt3eOaAc6E7%2B78IpdFpFGRdnWgvmSMoB74PbXVhS8GI%2BAOA8Nzqmfuc%2BkAKAu53XSbDwHD45KMyB9k6gX%2F6dqA%2B4JwLXnPBIDuxmxhklC2Po%2Bkz8UHb11JoZUXKgh8Iduv8a90vw%2B9fTkPwxxUmfaxnuOJhtC2yfB5lE4FrwGNTZd6pFQPW3y227X815d2lGwJv79s3JAW4A4%2FrMOgmj%2F1wEgPXGGzpHB5Kd3ge6T%2B5i9i%2B33vwh6xXgOtfGPMLAHIgsPhnAL7jggsDO64CFnrDvKncSGgLcyeyI7%2BDVOckEuTmdUMMg2I0EXC4l0UV0m3SQt3IFtBDA%2FVD6FVorYhSybjOdD2z%2FsowTcx%2Btg3E7KG2fK%2FA5HRhw%2Fu0KwdxWt6%2BhEuBGIYC3bE7YDgB4nXNBhQPcbJ%2FOj0%2FmnHH%2FjLy%2FHaByaRNr3DoFtr6j%2FOsMXda3B9xX%2BPRkAPcfAB2w0BN26NKJJZQ6Mebk2qvWv1N%2BmR3RTns76T%2BxjQVcccGcdEYHZWazT7y1B9Zhbp0EjFlcudxB4qRl6AA2bcJlclkGTn8E4brqAW6%2Br3%2FczHYIKm5HBC%2Bm6MhIxERHIzY6xgyjpZhoRMVEGUVEc5sIm4FOx0nHzFMrOncrb9wcGx0n3zlzUsb3%2Fx34XNK2EPADOXidc0H5AXeu7s5RKOBuW935c7A7mP3zm%2Bk0vca5bK2z3rK875z8gDch0E5NvaFz7aN8OkIFy9CDEXqiDl0%2BwLXRbkMbkPmeO1XnADnItZxGAW5PuABvLrl98lxP6xHwAtJkZzefN13AdQV4E%2BvGZsi%2FzecNAN7cB5aWJ5h0B4mKijIwx0RFIz42xighLhaJCQlISkpCckoyklISjeIT4xEdF12nlsFBI8DrVttZuBsDuIFb8gDXxRMAXOv4FwHuzrtT4HvfMDCtT4FpvfU6HRRwKRTw888%2Fv87BcCf8UFR3fkFnAWzeogk3uik3mBvt2%2BAG5Q4id0gHybg3l2fGfbLrcPLWG4CW%2B%2BOdbPO38rMnB7CDNjCvJ%2FO9Pqdru6FzcPM91%2Bekv816vHU56BR7YmIIdHwcYgl1THQUEuJjkZKShIz0VGRmZiAnJxtFxYXIL8hFZlY60tJTkJqWjOzsTKRyOtUpmyo5ia6rof7WMTKAezJVmbpLGdn1B%2BU%2B1zHVdlnAA4VagW3gljidgdfKnYdQOSjrKRRanSdFKRmL910AbN93zb15zHTevIH1%2BbjQfOKpCcENAM5Y4saPPlrRpSkhl2wh%2F4jv0kIZKv9FotKuBfxobvjR3GhB3qTOBh9MLouai8SD2q86YB9GBQAP8104ObAFtbJ9JKOInDs%2BPh4JCfGIiyPoCbFIz0hFYVEeSkuLUF1dgeqaKtRQ%2Bfm5yMhMQ1ZWBoqKClBUmI8CfibFxTLSML7ERkYgitFK9c8BMHWMqKD72e2oB7iBpoFjHOLcDrDDoTrnywe5gTrMdxp384bCbbY1ALi%2FHtxfXagqWr8IeLgTdqg63IBrJ7XT%2F27Av40c3Iojgtu6djwSExk7GEGSkjRMQBqdOTc3EympHE9PItQ5qK2tRseOHdC2bS0qyksJfrFRTXUlSkuKkJFGR6eTpyYnIYaAR3v1x6GxInhrt9vi1NKIx5FghAUmnDzADofCnbODyc373QBv5g2b%2FCsA17hu3xbuZs2P%2Bq8F3F3QzrlVaIyLi6Nr23ydmprKSJJsYkdqqv5O5HgSCgpzGE8ykZmRhmxGlcL8PJQR7MrKcqQzvsi5CwvykMcIk8O4kpmehgwtJzmRcScarb2CoYHcd6wMyJRAcONBedNR9aD2ywfod1W4c3YwuXkbB7insIBbyA8j4MGNDALJoQ%2Fu%2FwbA3R3KjSsCqLCmgqHgS0iIM%2B6dnCyoLeApqcksTCZymIiy8iJGFRYsk%2BKRTGdPIbSCPJvxJCcny6iivMzAnZ6aYr7L0XccZhH0ZE4fERmsWhSU7lg5mB3gGjpg%2FBGlHtR%2BBab%2F7gp3zg4mN29DgGuapk1ZsPQpCLiTl8U53mjAnVvVV3BH6oIouAW1NvjAG96gfkCA%2B%2FfZ1Z23atXSZOv4%2BBhCHWfcVzk7VUATRBtPkkxBM54FzDRGjsqKMuPWytaqTZGS%2BH0ilZ%2BbgzZtalBdVYG83GykMZ7IwZMTEwzg2RnppoAaIxdXnb6LK96xCro1j7WTd9ylYFZvWP7pGxSXG%2B58HA65dYTlxMdDU3WnCAFdhc8g4Lau%2FDADrrztgU0Fa02CB%2Bc%2FGXCTaw3YrUwUiSO0cXHRyMxMQXFJPt25GAUFuYTcOq3AVlyRUunGubm5qKlioZJDAR0KuJxacJcUFxqwc%2BnmiieKMnJvAZ6ZmW7uBqZHnqtK9I5VKODhAD6Y3Hk6oL5HwN261WdIXBjYA4CHRBcqDOAOnKAsxKFgOwV31uVtE0vqAK4Ns7LVVL6NPpC%2BV8Dd8q20nw5wtUCqIBnPOJKSkoD8gmxUVJYgNy8TGRkpBsLcvBxkZTE%2FZ2airKwMRUWFBLcYRYWFjB5pSFRWV504lRQby78puTzdP5fxpLiwACWcR1m8sDAfKbwbGNB5EegukRyoRuQFZ%2BCWbH15wMEdkFQ4mMPJP0%2BD%2Bl4AF0v6jtOYqsXgPKZbsufgxsV9agBwVwNi9d0B95XsDwVwxR1vHX7ZbQ3d%2FsOluuvVSdW2u9qSWEKp6r%2Bk5HhkZ6cT8hyTrUtKC1HLmFFVXYma2ho6eynate%2FA8TZ08Dw6cw5zdwriYxhtYgi4E5eXpZxNFdDhiwsKUVRQYOJMeXmpqTo0cDOiZBB0KYUZPjpSLbK2AUYNQaYxyJiJD0hP4YAOVeg8YfW9Aa7vbTowScGbR4xaF1cB1EYTpwMAfnRAdkHaqVC4Jd%2FOuhVTusoOF%2BANyW7rwRS6f42VXUfggHN7lLkj1Kk%2FKtI03qhQafJ3UizBSzZ12Sf%2F5EScRBWVFKGQjp2QlIzYeMYUDpPp3NnZuYwvqfYOoJijC0VVi3JxTicV5ReiTVUt2ta0QU11lakbz2M%2BV9VhYWEe7wqMLZIHuWkI0rbx2Aa6uB5OwLWsEIWei8Mls3yu80CAGxNt7vj0xxQHeIMZXEB4zk03DjqyFho82Q3JbGCYz7%2BTDsPBrLuPjVFwXh1UqXVEc1NTEh0TaRRL95ZUoIyOjkBKahLatm%2BH4088AQVF%2BYQ%2B3uTkyOgo098kRq2ZjCGxavhJpBhv4lhANcvxAI%2BLpmLj6eYJyEzLQHFREaqqKnHcccfi%2BBM6obKqjJElB9WVZbwTpNPtU43S03gRqS8LIXf9uA3ofkD4d9jj2wj5j%2BW%2FQ8F1W6D9cgnBAC5GCblrmAvItFLbBruwgJsVuQVRcmP%2FDn8v%2Bg6g193HxsjOp3W2aq1qQPUAbGFAjomNMnKAq2YkKro1nZkFRMYSDVMId0J8NGHlhRATYYbxnEdKToxDUiLdOpGxJJHTxHMaLjeOF008LwY5ulw8JTEJyUlJ5i6hOKIIlJ%2Bfjby8LFRVlCKfQ8GdTScX4KqViWSBM%2FDgwX8x4AK7aTOq6ZGegnCbfioEvAkB13g9wM1KFDHqLPh%2FD3Bd6II7hoDGEtAYIw9swhTHaCLwcvOyUcCCYBVdNS01ERlqqUyIRGJkE2QmtkZGQisUZsajoiAN7Sry0LGmyKhdZS5K85OQmdwaSdFNkc7pkmJbIDG2JQucESyIJjCW8GJJjuPdQBdDDO8EESxYtjTunccLqay4gHEmx7R4qhOXeWTMA9yvwBMzBD3ssT2Iwh3Tf6WC62484DZzK5b4G3uMg%2BtketIKjFurQSZ4e1aW9u%2Fw9yJlsxCFOzjhFB7iUPmOAyUYBHcSAYtPiGGBUnBHG8BVp237leQjjYU%2B9SWJ53c5mSnIz0pGcWYMavMT8bMOxfj7WT%2FDDRedje63XoL%2Bd1%2BL0X07Gw3rdSvuuvF8XHzur%2FC7X3XE%2Fzu5Gm3LUlGQFYXUxOYEPIpunYKy8kJmd0aa%2BChTY5Obo4JoKnLVOSs5gRcULxJuQ5J6IvqqDv93AT8aRx3VhGpqhgRcQV1S7tYCtCCdYIV6r5Do29kDKgyEYRVu3kNQuIMTTuGBlvxQBwsrusgj6JQqQCYlMSsTXuPedG5BrtoTtViqmjApJck09mSxkJmeEIGqvCScdnw5brrgTPS541KM7nkTpg7sjJlDumLx2B5YNuEBLJ%2F4AFZM7o25I%2B7G%2BF7XY%2FrgOzBl0O247crf489nHo%2FaijQU5Kn%2FSgzatqti%2Fu5ookkqAdewvJSF0NpKHN%2FpGJRxXI1Cql3RNkVHR5qWTgu5V%2Bg0VYiHMaLIBMOd18MkU8A00rhVeMCdCLap97Y1J0cd5SBXIVNB3UjB3QHug9sA3riDU%2B9AhJHZiTDzNk7aDieujwc63DrqKhzYTkGw3YWuA6YLPJq5WjEkjllacKtgGcOCnFoRBVIWI0IiM3JiUqLJwBkpsagk3Ned9xv0uuUfGN39OkzpdytmDroDc4d0xqJR3bB2Si88Or0PNs7oi02zB2DdlAeweEQXrBjXDYtHdcbSKT0wqu9NOO%2Bcn6FNVQ7zfCKBzkSHdjUoZRzJzkoz8aRd22p0OrY9juukjlrVKOKdRF1s03hXSaKrR3M71V9F7m0ekuBx0KNu9Y9n4xR6TL%2FbOTy4Atz5FB5w28AjBRp3jpb4N%2BHW8IjmLVRT4nWI8tzbrkRSlZ6q9r4L4Po8qEM9OOaKrrPD9vODQ671hlZtOuk7O10zHjBz4HjLaynAVTh0gBOYaNWGqE834Vb2LlZvv6xMVFSo30gmygsycN7vfo4%2Bt16I0fdcjqm9r8fcQbdh%2FuDb8eCQ27Fs9N14aEpPbJzZl%2BqHjbP7YdPcAdg8bxBWT7wfayd1x7alo%2FHQnCEYO6Az%2FnTmT1HM3J6fm4l8Lr9NTQWKWNAsYOY%2Fpl0tfvbTk3De3%2F6M0379S9TUViGPWTyTF106C50JjCumf4we1zPuzeP3HaCsezy%2FL8C1Xq6fjBojMmYUBvAA6B7g7soIyuZPI6%2FPhequw21IqEIPRDi4gv2Tv53%2B1YDrAnfu0Kp1syDgjCNqlle9dVyczd7VNZUEvBC5jAYnnnAcju%2FYHrUlObjqb2dg6F1XYlr3izG%2F39VYNOhGLB5yC1aO7oz1k%2B7HozN6Y%2FOcAXh26Sg8t3yM1YqxBvL1dPNHpvbFtsXjsHRCf9x386X4Sccq1JSXoLKsGMd2aGsKlAK8proMJxzfAT%2F%2F%2BUn46U9PQEVlqSkH5HB7dGdR1aW66JqWTrU7%2FFcAzu%2B4Xq3fRMkQwJ0CzfUO8GDW9stb8H8D4DoZXiNTWAWWUxfwGEYSwa1Cpev6mpycZKBWdaCGJXTxtnTPkzoxLtQW454bLsCY%2B6%2FF3Acuw%2BIB12LZ4BuwZtTteGTiPdg0oxc2zeyDx%2BcOwnPLRuOFlePw%2FIpxeHHVRDyzdAw%2FH4Kt84bj5VXTsXrSQCwePxBX%2F%2F1s%2FPS4Y9C2ugKnnHwSqisrUFleio4d2qBD%2B2pUV5WgtDQfxYwveXmqRswNPB2kvjCmbtwrcKqg6fb12yr0mP6QAQ%2FKVhv6HNxGk4AMGBZIQRK6kweWpq8Ldn0deJl1tqUBhZvPL7sPkg6SF7fqyXcAvWXq9q7crcfLshkPEhMTTL8S%2B5CCmuArUVpWZGJBOZ28Y20Ffn%2FqiRh%2B740Yc%2B%2BVdO9rsWTQDVgx4jasH98NG6f1NHBvmd0fzyweiZdWTsBLqyfh1Yem4bX10%2FHy2ikEfiLBn4gXV07D1gUT8ND0kVg8YQj%2B9Jufo0N1CU46%2Fjjm7bYoKyvBCYT%2B1F%2F%2BBOVlevpHdeOZpvBZwAijJ4Y0VJVlLC%2FSiNZq5WxOwOsC05D8x%2Fe7Ktzy66mR8dfJlZnCA65KAqd6gIdfoPQfDbg3bdiD65N%2FmQLc1HXTveWKcmu9jSlXjSss5Knvifp16%2FNSAtWmLB%2FX0G1H3ncDs%2FcNeHDgTVgy9FasGXsXHpncnXD3Jtz98PRCOfQEahJeI9xvbZiNN6k3qNcfnk3YZ%2FHzOXh%2B5QxseXAC1s8chZE9bscvO9Uw4%2Bcwh1fj5JNPQFlpAU4%2B6Vgcf1x7tG2jrrWZBmp1%2BhLgkgBXA1NkBAH3Gqv0fpJw%2B%2B6XOw6HQ%2BGWX0%2BHHfBgo48HuGA6MFDfDXA99e3XYQLct02m62QYmeUYB%2FcizgHklqt5HOCCu5yFSDXDq3CpVsq8%2FCwUFuaigMpmFCgkXO3LC9Hl6n9gbI%2BbMHfg7Vg87HYsH9EFa8ffy1xN957VF1vnD8LzLES%2BtHoCXqVjv%2FHwTAI%2Bh4DPIeDSPGq%2B0Svr5uKpJZOxad4orJrcH%2Fdc%2B3e0L2H2Zhxpy%2Fx9IsGuqSrGcce2w%2FGd2qG4KBdZqoPntumxuCL%2BnZ6WhPi4qLqA%2B%2B5YDanOMf4B6hAAD78gv36IgLvp3A6H07dZnpOmdYDrmUk9Ria4XVzJY8bNYUEvLT0ZqSnxyEyOw29O6YQBXW%2FAjAFdsWBoFywefieWjbwbqwn4w4wnG2f3xRMLBuNZZu8X10wgwFOMY79poJ7ryQH%2BIF6hiz%2BzdBIeZyZ%2FdOZArJrUFxed%2BTMUpUajJDsZteUFOOHYNvj5KcejTTUz%2BTG1vNhSkJvDC46xqZgOnpGWXBfwMDCHU7hjcqjyH%2F%2BG5L%2FLNkbu3P6AAG9IB15muO3wy03nBzpU32Z5AXFfDeCMJ3q6pri40NRKFBTko6C4CNkcpmamI4lwpyTFIDclBn%2F7v59j6oB7MXtQNwJ%2BN5aMuoe6FysndMdD03pjw%2BwB2LJgOJ5ePg4vrJmMl9ZNw6uPzMXrjz7oab4dEm4B%2FqoBfCILnsOxZc4QrJ3YCxN63oZTjylHYSpjU0YCairycdqpP8VxHdvid2echrKSfCQnxaKmuhylJQUGcPWH%2BRHwMAsJ1bcH3EnzfTuwncJtR6jCzXeo8i9XJ1rN8O3bs1BXXmr7X2dlITO%2FAFkFBD4zA5mZScjPjEebjDj0uuEiA%2BC8IfdhyejeLGhej66XnoW7LjkHA265AsO7XI9ZA7rj8QVT8crDS6nF%2BPiZ9Xh320q8uWUp3ty0GK9vXIA3PL3%2ByHyTw7cuGIdtD47Gw1P6Y%2BOcMbjuL6ejU3kOUmOaobo4B1UsB5xyUie0YyG3fZtK5GanGahPOL4jMjNSOB6DKDX4eBFFF24o0KHyH4cG1Ugews77HfUDA%2FzQFW47%2Fh1SHldWFeAlpUWm%2Bk0PGlRUVSIrPw%2FZ%2BflIJzzH1Bbj97%2FqhEt%2B%2FxOM7HY1Zg%2FsggUj7kPfm87H337eHn%2F9ZVucfxq%2FZ7S4%2FtzTceXv%2Fx9u%2BssZ6HPTZXhoxgi8u3U1Pn1hAz5%2Bdj3eJ%2BhvP74Eb25ciLcI%2BJt081fWzcbTjClPLhyHx%2BaMwKOzR2Nir64462fHokN5rokq%2BVlp%2BMUpJ6BtTTlOYC6vZT4vLyvCT04%2BHvm5WYiJbl0ng%2F8IeAP6XwC8zokm5Hqu0jSe6LlIRpJ2Hdqa%2FK2cW5KXgusuPBsje96AXjf9GeN7XIkRd12I%2B64%2BE9f96SfofcPf0evG89DvtkvR44YLcefFf8bVf%2Fwt%2Fnbq8Tj7pFqCfxweuOlCPLliOp18HT56eg0%2B2LYM72xZjLc3LcDH21bg460r8KZx8ml4cvEEbF08BUvGD8aV556BS889E2W5qSjKTkcRC5UJBPnETu3xkxM7Mbb8HCdzqGb96Ci9lP5fEFF%2BBLxhmczVGIXZjlD5a0G%2Bs%2Fwnmn9HRUegoDAf%2BQV0bRYuKypKUcLCW35WIk47uQ1633ERxj1wFeYMuRETe15iNG%2FYTViuem%2FGiUfnjsATSybjyZWz8dzahXhm1QKsmz4Gswbfj5mD7sb4nrdiOgulL66bgw%2BfXIX3n1iC9x5fjHcI%2BAcCnQXOl1ZPx%2BZ5I7F6cl8WYO%2FCnOEP4J7rL8ZfzvgFjmtbhl%2F%2F4ifIy0xGcV4mCnjh%2Fd%2BvT8XZvzsdJ55wLHKy0gMObiE%2FeA2KFO441xPPT7hzG6qw835HfXfAQ0H7Vyh0nWFUD8BwCnOCFC9CFW66huSeb9TDAnpZjxpQ1MFJcBcXZKG6JAtXnX86Rva4AlP7X44Z%2Fa6irsSKCZ1ZoLwHD0%2B%2FH%2Bun9cG6qX2xasoArCfsjy%2BdhadXLsAzy%2Bfh%2BTVz8fjC8Sx0jsdj88bg%2BdUzGUsW4T1C%2Ff6WRXh74zxTH%2F7cikl4YuFozBp4B24%2F%2FzT86ZRqXHjmyfjr%2F52Ek9oX45iaQrSrKkZmSizys1ORlZaITse0wTlnn2kehkhJjjeAK4PbmNLAcfEfTyrcuaincOf0uyjcOhrQwQG3cg8ghwW83pX4LTfiu8vCdihSzvTrUABvzW2IaNWUcDRHDguTuVRxXgYqS3JwQvsy3HHNuRjf90pMH3gxZhHuRcNvwcpxXbBucjdsmHYv1k7pioem9sLUfrdh9rD7GS2GYMvCWXTjKVg%2Brh%2BeWjIJzzF6PLtiGp5aOhkv0qnf3bQQ729eiDcemY3nVxHuRSOxYc4gzB92F%2Frdch5uu%2BD%2FcNHvTsKZP63BcTXZqClJMxdbTlosCrNTkJoYZQqdp%2F785EA8kQKAU6HHRvsb%2FvgfHoVyFE6HE%2FDAdxx3fVIaFVEOpxpy3sOl0JP47QFvRsAJd6smiGt9FPIz4pCXGoWirHi0KcvDL09oi%2FtuvRCTBl6NGYMuwsKhN2ENY8mG6Q%2Fg4andsWL0HZja82L0u%2BGPuOHcn%2BOiM07C6Z2q0YmZ%2BTc1Reh7%2FQV4cEg3rJ3cD1vmj8aTiybipVXT8d5jjCaMJ6%2Bvn4EXVk1k5hbgA7FmKu8GM%2Fpj1bT%2BWMa7woMTemLEAzcyh%2F8Kx1fnIiuuCQoy45GeFIPKsgJ0aFuNjPRkwt3aKCrSQd4y8DCEk%2FY33Dk6XAoHdKh%2BBPxbyn8CpUMCnMPo1k1RmxuD35xQjkvPORWX%2FPlX6FCWhdNOao8Bd1%2BNqQOuxZzBV2DFqDvw8OTueHRGL7p3D8zqcyV6X%2F1b%2FPWUAlx2%2BrFYM20oOl90Ln7XsRYn56firgvPwp1%2F%2FzXmDe6CzczpG2cOw7NLJ%2BH9xx7Eexvn4tW1U%2FHc8nEsWI4yLv7E0jF4bMFwrJzeFytn9MP6eYOxmfBvXjQKk%2FvejD%2F9rIIXYTwyGFEKWOAsLso3T9vr6Z6AIpXFQ374idL%2BhjtHh0vhgA7V9wJ46ElvdDZrhH7ogMu9VeuQkRSNsXTKucPvweppA7GEBb3fnFiFX5%2FYBgPvZu4ecB0WjbgO6ybcjY3Te%2BGRKT2wYWoPzOl9JYbe%2FEfcfcEvcM9lZ2BcjxvpwCNx8a9PQbeLz%2BWFMBxdzv8tZvW9xTTkbJw%2BGI%2FPGY431k3HW3Tvl1aOx7aFw%2FD4gqF4YvEIPEbIZw65E0PuvRyzR3bDqul9sGZ6T6yllk%2B8B92vOROFvLtkZzBKZekp%2BzTzAqGYqMh%2FP%2BCC1QesAdj%2F%2FWHQwQDXOjUMAB56gg8nzN9F9barkfKfQOnggLeAfpVMUsEyktEkpvmRuObvp2PrsvHYMHco5g%2B%2FC0%2BtnILbLjobJ1VkY8R9dO9BN2LhkGuxZmwXbJjSEw9TG6b1JugPYEr3KzC5%2B1WYRoddPLYnNs4by9w9AwuH98S0B27FlJ43YNHQrtg0axDWT%2B6Nhyf1xtMLRuJVRpNNswZi6ahuzOFT8MjsoXhwzP3oVBSHn9Zm4rzfHofz%2F689BnX9K%2BaPuBmzhlyPwV3%2BhnaFMSjOikVpQaYpWOpl%2B5F6n7jeeBtJ0KlIjjcG8PrHpxEiM35XDoDdCHdurOG56RsC3MEtme%2B9z%2BsD7lvY96lw29UY%2BU%2BgZH7OjhA3KJ1o%2FRCU%2Bd2e5oiNaIqUiCMxeUBnrJ7SF48R8JfWTsODI7qh5w1%2Fx2kdijDqvmsYMW7CgkHXYSGHq8fcbR5FU19v9evezMLh5rnDsHn%2BSGZpOjILkk8vm4atC%2BXOY6kx2LZgFC%2BIflg19l4C%2FgCeXjgCr6yaQMAHmP4nrz40yzQePb54Am45%2F3ScUpWJUT1uxsj7rsTZJ%2Bfg7stPxeQ%2BlzGmXI07eac4rooFztRY3oGaIIquHRkZRcCjCLfkALc%2FeuWOjY7XYTnuDQGu5QngAync8sLILe%2BggPOiUke7AOBuxh%2Bawu1kY%2BSHu7FqxRPf0vzqWQvEEfCM6COxeclELBx5D7YtHoNHZw%2FGzAF34N6r%2FsTMW4uR3a7EvIE3Y%2BFAuvigm7Fk6B14dFofPM3c%2FNyycXiWem75JLrwVLy4dgZeXDMTL6%2BbjXc3LcY7aql8ZC6nm2Ce4Fk%2Fmdl9Sm88s2gEXlszEdvmD%2BZnD7DgORkrx%2FXEIzMG827RFVPo%2FCvG98LYey7HdWd3xOW%2FqcSk%2By7EijFdMXtYF%2FzuF%2B2RFK3an2bmzVuRkWqmjyHc0Ygm6JERkQTc%2FnSi228dr8N13OXWAcA95%2F42AB9MbvsOBrjbjgDggY3yyS3s%2B1S4nTy4QqrCIiR7QnV7bkiteTt3gMdHNkVeYjM8uXoGlhOw1x%2BehS0PDsfEHtdhaNfLcenvTsT4%2B6%2FFzF7XYwEhXz78Tqwc3Q2bZw%2FEs0vG4DUWEl97aAZepwO%2F%2FvAcvPHIPGo%2BXls%2F1wzffnQBXlYDzpyhdP3%2BVF9eHH1NV9o31k3Ci8tHYdXouwn8SDz5ILP4nCHM%2BT2xevS9WDvuPiwefCuG3vAHTOxyHtaP7oxNk3pgxsDbcfoptYiPOIrZ2%2F7wVVRkHOGWCHmEOl1FcV%2F%2FhYBzXsOPL5aEm%2B5Q5Zb5Pwx4EO4AvCpcURp3PyEdEG%2FjupWb2zkza4RxvVZIimmB6rwEPLF8CrYtGotX1k7HEw%2BOwPpp%2FTGs62W47s%2B%2FwLQ%2Bt2Bqj2swf%2BAteGhidzpxb2zjRfAMAX%2F9oel497H5eH%2FTQry98UG8TsBff3geI4cH%2BAYBPgNbWLC0gPczgL%2B4fCxeXzsJzy0djsVDb8VTCwbjtdXj8fZDk7GJhdgn5wzA2tFd8fTc%2FtjCwuyC3ldjy%2BT7sXVqL0zqfSN%2BdVwZYloe6QEe%2Fb0AfriWFU5umeLzQIA7BQD3b9B%2FmtzOK0uHwu2HOQC897kDOxzgcvCKnFhsXDQeHz2xFK%2Bvn4nnVkzEmsl9MODWf6DvTX8n4Ddjeu%2FrsXzUXVjPwuUmuvc2Zuhnlo7Fq%2BsIOGPIx08swwdbluDNh%2Bfj1bVzjDT%2B9oaFeHHldII9CGsnPIBlI9U41Iefcd61E%2FD0kqFYM74rnlk4EO8%2BMimgl5YMx8uLh%2BOVpSPx4qJheHJ2P2yd2Qerht2JUfdeiZNqcxDf%2BkjEqvUyBPAoAq6fLjc%2FPEvA%2FY%2Fq%2FUeJkccPsXNzv0I%2F%2F68CPBRivSwzFHL3nV6QY1%2BkqR9hpcPptRCcPi6iCYrTI7Bscn9Gjgl4fP5wEzmWj%2B2BIXdchKF3Xow5QzpjZr%2Bb%2BNk9eJhwPsEo8fSS0QHA36Fzf7J1OT5%2FajU%2B2LzUuPYra2YbwN%2FiuABfN7EPlgzvxrvAnXiEy3h59ThOMx5PLhqE1eM74%2BlFA%2FDexsl475HJBvB31k3E22sn4vWVjEErRpu%2Fn6PLLxpwE3pc%2F2cUpTT%2FnwBc5%2F1AgIfqfxdwOnYMIVeVmn48SrlVgMe0OhrpMUdiwTg13AzAqvE98AijxPKx3TG8yyUYcddlmDXwNswacCsz%2Bn14bM5AbJk3lJAPJ%2BRj8fKaqYR4nnH%2F7c89hC%2BeXosPtyzDZ0%2BuxVuPyNlXM8pMxqw%2Bt2F231tNdeGjM%2FoR8AkEfAI2z%2B2DlWPvxFMLB%2BCDx6bh3YcJOPXeeqt3qbcJt4bPPDgISwbdgsvOOh7JrY40hcwYtV6GZPAfAf8Pldvxbwu4Gj%2FUEBIO8ISYlkiJPBKjut%2BIpcPvw5a5w02NxvKx92J0t8swgdl7Rv%2BbMXfwHVgx%2Fn48NncwNrEguGXeMDr4eDy%2FnC67fjbee2whvnxmLXY8%2FzCdfA0%2BenyFce9Ptq7GslE98OCgrlg5hhfP1H7YtmA44Z9OTWOGn8jocjcLmAPw0eaZdO8pRu89bCWw31k%2FCW9TW%2Bf2w9Tul6NdVjOkRhzJeEXAzb4L8FjCLfkBb8VjZbN3ndeD%2FKfoR8Ab6eCe9OsIUpT54Vbb8pcYF4mEqCa4%2BrwzsWz4A3iBhc2nF49hFOmNST2uwuQHrsGDzL3zqZUsYG6aO8SKkD%2FF6Z5dRideO8N0d%2F102wp89fx6bH92HWPLQgL%2BIC%2BCSVg4rBsemtQPTy4Yw8LpKDy%2FbBw%2BeWIhs%2FssRpo5WM%2FC4xOE99Mn5jGiTDV63xsa4DdMxRvrJzLH98SwO%2F6CdEaT1JgmiI3wO7iqCG01YZSqCFtHeIDLvXXsnEIgOpxSNeHhkrc8nfcfARfAYQDXq8zCKSrCTiPA42Lo7tGtUFtWwKgwFM8tn4nnV07Bi6snYka%2F6zG119UE%2FHYsHNEFqyf1INyDGSukIczPozn9RAv4o%2FPx4eNL8MUzq%2FHls2tN9eAb6%2BfS6Udiych7WUC9D2O6Xo5J912DZ3hh6En7F5aPNe9MeWbxCDw%2Bpz%2Fee3Q6PnDaMM0A%2Fg4Bf4u5%2FPkVI7Fu8r0Y1eU8ZMS3oHO3QGxUC3MXss3z0RTvSqbBJ9iKad8Z7r012OhfB3m4c3aoMsv8EfDvDnh8bDRatmiK5Ngo3HXJRdiycCaeWj4Dg%2B68EEO7%2FANT%2BxDw4bdj8cguWDelJ4FVPJGGeoBPYA6fbgDXgwufbFtOwNeYXK7o8sj0gZg3sDM2zhiEsczzPa%2F4Pab1vN48hT%2F%2Bnssx4IZzsYqF182z%2BuKLbQvx0WOz8eHGmfiQkL9H537r4UnYtnAQL6y%2BmDf4Rozp9g%2Bkxcm5WxoFAbdw1wVcLbc6bno9tntF9g8EcNWfH0BmmT8CHgRc9dwO7lDA9ZvvfkUTcEFuMnmM7ccRy9iSTRc8tUNbnFJdiBPLU9Hr5r9iUu9rMI8OvlQ1KDP6YjPhfnz%2BUDzOQqYAVw5%2FcdVU5vZpASd%2F97EFeHXdTLy4ciqeXTrZ9CBcMboH3lg3C88tnYgn6OrrJ%2FfBsNv%2BgQXM9mvG3oe1Y%2B7F9icXE%2FA5FKMLM%2Fp7dO831o3nRTQCayffg7H3XICZ%2Fa5BamxTQq3%2B3x7cBwU8VHXBPFwKd84alCA%2BkLTM%2F3XAnRzkDnh7cvk5C1gHAtzBYTopsVCWxEJabAve9o8%2BAse3KUDXq%2F%2BIkXdfiJkDbsLqyT2xUX1OPMCfWDCCgI%2FB00tsM%2F0LjDXPr5hshoL7lYdm4mUC%2F8Kq6aZV8%2BU1M3ghsFBpWjvn4ItnVxH28Vg7vgc2TO6NF5aMwWdbHsRHG%2Bcwosw0gKs25fU1Y%2FDUwv68C1yDwbedw9h0LZKijuJ2hwLOcgWztxTZmseC%2B%2FlDBjws1H5pmf9OwAMvQff%2B1soPp%2FzrakjBg2k7ToVCHhjXkHC7XzywoFvYHfC6IEyskeMrsrBQFtGKQ%2B5jbMsj0aEsHV2u%2FAP63nwu5g%2B%2FE%2BtY6HxMfbMZTSQ5%2BNYFo0xBUy6uwuYzSyfw73F4askEvPrQbLz2yDy8u2UJXnl4Lp4l%2BC8LekoPGr9OkF9fw8LjamZs5vG316nGZBoLlzMouvf6KXh91Ri8uGQwHpnUFVO6X4gZ%2Fa%2FB7CG3mEKxGqnMPnjSXUhSByt3LHSM7PHSsXNyx%2FBfoDDn1SnwaKBRs0bITivYWwjwZlKTOnKtl34dOuBcSR3Aw%2B3gd5B%2FXQ2p7jwW8oC8EyrpFcJOAch9gBsJCjqg%2FXUEqbWBIooQJLQ%2BEu2LknDf9X9F9%2Bv%2ByIjiAa4qQsK9ad4wbJkvwEeamKL6cOmpxbbn4NYFgn4SnXy2eanPK9RLdPPnCPkLq6dxfDpeXjcNb66ZhrfXsiApuB%2BaQqinGr1Lvb5qLJ5j9t48nfFl7O0YfOvZeGhmHyyf2gcJ0c3s9ofI7Iv64%2BhY0L2Dx%2BrfAPdBJFjNr8FxvDW3Jax4joOqC3gLAd6UYPvUTFCrCd%2Bn%2FyLAwytwID0dEHBBYdzOifGEBbFEAt6uIB69b70A3a48C9P638yI8gA2zBpAyIcYbRbk84abfivbFo6ykNO9H583ggXKIdg4bQie1EPGS5jBpw3F8hH3Y%2BWo7niM322eORTPLByNN1cTbgL%2BrgCn3iPk76ybhLfWTMLzCxmDZvXGI5O7YXL3izDojr9hHdc3efh9iI1qzm0P7oOD238X%2ByEDrrffRnqK4naacb3qgudYD6A0GnC6%2BOGLKP%2FFgNvbutSSWbwZkiKORJv8OPS48Tx0v%2FYcDLr9fCwbez9WT3oAj84eZPTYnMF4bPZgbJw1CBtmDDBN%2FM8zi68YdT%2FG3HkZel3yB3Q551T0%2BPvvcO9f%2Fg89%2F3EWel98NkbffDGmdL2augJPTB%2BAt1ZNxpurJlITqPF4ZdlIwj0MT80fZN4xvmjYrZjW73r86dQajOzbGX875zfM2XLwbwP4969W5skp271XMMfwWMdyO2N1zCmBHsFz3Lp5E7RiHP4R8AbkAA%2BATfnzdzjAAw4eqQPdDImRR6IqJxo9b%2Fo7Bt7%2BD9x92Rk%2BwAcaJ9%2FI4UYNqc1zhxoHf%2BPh2QbyrbNHYM2Q%2BzH%2B5kvQ6%2B9nYdCl56IHIR962Z8x4ELm%2BvN%2Fh77%2FOB2DrzkHD427H88soKMbDcEzDw6gBuLx2f2wbnIPjL3%2FCtxz7R%2BRFn0kUmKbIE7uTSD8cJv9%2BMEBznPGY9miNblp3YTb1JTb3YwwE%2B7I5oiLbol4FpSlWG67FMX5BLkBvRGAi8lQ%2FVcDbvI3T25duD2gefJVc%2BLkwLAwtDRP%2BAiKCJ6IeDp4WXYk7r3%2BL5ja5yZ0vuDXmN73Jiwc0RVrJumhhD7YMLMfh9T0vua9KGr40UMNaq3cOmcknpo5EpsnDsTCHndgtt5Ee%2Bc1mNn5Gsy682qMu%2B4fmHTTBeh7%2BVno%2FNefYUyXC0yX2Uen3IvN0%2B7j%2FL2xalw3RqNbMKzXLagpz2LBUo070bwAY7n9aq1Ui%2BwPFXCdKzLDY9ksoglaRB7NskETREc25T40MxdpPPcnIaolyxOCnE5Oc4nWS4s4v6Rzp1%2BpEOiCvGVzMiAGfQqFW%2FqfAdzv1n6wDwR4S%2FMukWa8bR6J4qxI9LrtAswgZN0uZcS45g%2BYNeAWLB19N4F%2BAOsZH9ZP74WHplFTe2PTnEHm9ccC%2FHkWMJ9bNBHbZo%2FCS4um4OnZY7B%2BVG%2BsHdodawbfh1l3X4%2B53W%2FAtPuuwsg7zsfQW%2F%2BCsV3Px5qxdzK398KGqfdg%2Bbi7MarHNbjm4rOQEN8UsXQ808%2FkPwVwOTehbh5xFFpGHsXtPdp0TU6M4h2SgCdGt6AIeIycvCUdvRXht1HFxJUfAa%2BvQwFcUAQAJyStCXmLJkfguDZ56Nf5EtOLsOfVv0fnf%2FwKQ%2B5Q3%2FDrsGL8PVg7tSf1ANZOeYCQ9zF15BtnDcbWBaNNw4%2FqvV9YORUvrpiG51jQ3DJrBB5jwfOxKYOxYVJ%2FPDq5LwubA7CN0eSFFWPw7BLm7gX98fic7lg%2B%2BjZM7HUVRvS8FsfUZCAm5miK%2BxGlBxlsZ6ofOuCtCHgrAt6a7h0T1YTxqjnSYlsgI641h60M5EkE20BOuC3g3Edue6R3HgM%2FaCvAxZ4Y9EufheiQAQ8sxPs7%2FI4duuqsqwGFm8%2BvbwO4AcJBQbXkZy04VOGtdfMj8MsTqzGg6%2BWY1vt6jLv3MnS98DTccxlzdOe%2FY%2F6w27FqUnfT%2BCM5wDfMpIsvGIXnVk3BS%2BtsnfeL62aZZzT15thti%2FQQ8jhCPRZPLRxtfr%2FnuWWjTN%2FwF1eMovv3w%2Bpxt2L%2B4OswpscVuPKvv%2BRt%2FEhuk8Tbd6SetRTc%2FwkRhQVFAh4T3QzJMS2QHd8aeQkRyE2INJAnMaokMaYEAFfDFbc%2FiufOuLf2gedTyzPnn%2BzJxf3y8%2Bh06ID7ZCrvtSMaHiYFLiC%2FQtdb5yDWlwWc0kES3ALWiFATAifn3A7u1vy%2BFYFp3pIxIDrSPARxxi86YWT36zGlF7Nz3xvQ%2B9qzcfvff4H7rjgDk3pdjcVju2HlpB5YNdk6%2BKMCfNYgbCHgz66ajBfWzcArG%2BbgdT3GtmE%2BXl4%2FBy%2BsnYnnV0%2FH83T2F1ZOwosr1Qw%2FigXTkYR%2BIB6dcR8WDrsO4%2B67EBO4zpK0ZohqeSS370huK3NppH7VWJCr92AI4G5fvi3gYc5F2Om%2BlXSumnKbmjKCtEAqY0gOoS6IjyTkkUiPk4M3NYAnMKrE0cmNe7PwLLj1i83afj%2FgzsVDFcpIo14bEW4nw30eOt8hixsamqUOBXDJubjkIHYQ%2BGEwQARgoIO3jkDTZizdx0QjjrfXu66%2FBCPvu9b0KJzR9zqM6noBHrj2LNx16W9w%2F9VnYVz3qzBz4G1YNPoerJooyFnYnNEfmxeMwFMrJuD5tdPx2qPz8M7mhabl8q1NC%2FHWY4vMu8Df3DCXw1l49aEpeI7O%2FfTSoXhs9gOYO%2BAaTOp%2BCab0vg7%2F75g8ZMXx9s4M26r10bwAedvnRahH7QS6WmGdtE%2BugSe4T40DPPQYN%2FY4h5OtNbFSBjeAE%2BA0AR4bQcCjjIOnxelh76N5d2qGeH5vCpiUqmkb3G6yZ7bPB7eJLyHTHTLg4RQ63yHrWwGuA9CwGgu4cQfup4YO8KOb8IDHxqEsPxtTh%2FfDqPuvYwa%2FHjP7XYfJPa%2FCkDvPQ%2FdrzkLXy36L7tf9ASPuuQxT%2B9%2BMxaO6EXLFlV54ZPYgbFsylk49Da%2F7AH9n0yK8Q8Df9l4j8eYjM%2FHqusl4Zpn6tAzCQ5O7YWy3f3A916DzhWci6agjkNCC0US%2FiEc3VHWbygkWcN6JfuCAa3tbE%2FC46ObGwbNjFVGikM2YkhrT3ACuO2Uco0o0t1UvDNXd157H8MuX1P1XBc9ANWLI9z9MwBup4A%2FVNiw9wVIfcEGgh4yD7wrRtPphWNV%2FR0bxth8Vg%2BSUdGSmZ%2BD3%2F3caHlkyF8PvvQazB92I2QNuMP3CR997CQbf%2BXf0ufkv6H7tH9HzhnMx7K7LML7HNZg16HYsHXe%2FeXnmJjX6rJmGNwT4lkV49%2FHFeHezlR6EeE35fI36eI%2FB1oUDsZHuPbnnxZjemxfRrZeiNiUKGdzfqKOPQmv9dmlrC09LORzjVGuVE3Shet2DAxdsmHN0KPJfKFJjl%2B0HvCXhbhXZlMe1GSFvgWTPyVMUS1RVyAtAjwuq5Vj132qrULQ055HDFlqeb9lOoYCH6r8OcMHqgLV%2FB09MOMCd9BRMTIz92e6ExEQkJqciL78QOVnZWDB3JnZ%2F%2FC7G970Ns4fehHlDbsaCoTdjzqCbMLXvtRjX40oMu%2Fti3H%2FN2YTctnSOuPtSTOlzo4F83fT%2B2LqYLk7IX1k%2Fy%2BjV9eqXIs3CS6un4OkljCaL1aelH%2BYOvh7DOp%2BLUV3%2Bgd%2FUlCJHrXlHHIFkXnTqANaCztbcAW7gptSP5jADrmWEHjv3d2PuCH7AWxDwlgS8FQGPZN6OpYxj83O9TSyacEfx7hSprM7Mrtc9ax0tzH4ceF0OZjfugJcaVcj8QQHu%2Ffqy%2BfXiANgCWg%2FUSno0S73oNNTJ9snrXRcEO4qFSEEdj%2Fj4BCQl6acB05CWlo7UVLp3ZjZOPPFEvPbSC%2Fjk3Tex%2BsGJmDPqLiwY1RlLRt2BxSNuxfxht2DO4Fswvf%2BNmNDzaoy59zLGlt%2Bjz03nYuz9V2Nqn5sxd2hXrJrUG6un9MEGvfBn7lBTu6L3rmxdNNr2RFw4hLm7N1ZNuAuD7%2FgL7r%2FubPTpfAnaFGQjmvEkkfsV0YwnXfuqE89CpnVw7r83lAIAHiLgmi8grscsj8v9roC3ZJmhJZ1akLcm5BFyc%2BXyVoKaItwRar5XbQsB128K2cKpVH%2FZoXKQ1wM8NOuavBsC1fcBuNapF%2BHX%2B87AzRNM1QdcUCt2RHFoIXcgxzJLJyYkIjk5BSkpqQGlMoYERKjT0jICKigoxIUXXYg3XnuVegnvvPoU5k3si%2BXT%2BmDJmK5YMvI25u3bqTuxaGRn8xjbwpFdMH94Z4yko9916Rm494rfY3jXyzCp142YM%2BROzBt2F5aOvZ%2FA98JqFkZXTeyBlRPu5zLuwJz%2B16DHVb%2FB7Rf8Er1u%2Fwf63n8TEmMiEUOgolu0JAQWMDVAOcAluVy42%2FehyAHsl4PbAO5dRN8acAc53bo1QW8dqQtI6%2BO4oPY6VbUi0JJ92sg9cSSFWb5vPBzcPwzAVXj0ubKRWZ8OoHUSAzs%2Ft9unAqj%2BdoDzdiy4WxLuVoI5BvFxiUhKTEY683MWI0ZOtn5MKs8oV8otQF5uPof5%2FC4fWZm5xq3T0zOR5knzFhcXYeCgAXj11Zfx0ovPYffOT%2FHSU49g1tgHsHxKL4J6F8G%2BA0tGd8YyjqvBZ%2BWE%2B8yzmotG3oUNswdj9D1X4eLfdsTVfziZsJ%2FF6HI5hna5mBHkIoxijBl9z6UcXowHrjkdN51zLG7%2F20kYzwLslCFd8Nuft0erpk1YAON%2Bcf91wszxIOAtCbjpEkwdTsAFblBhAPc%2BO3TABXdzLkt3B%2B4TJdCVpVu11DIFs6ZXIdoPuJV9ptRbvk%2F6%2BwcMuHXkuq6s22wwT%2Bs7OXJsbKzJyfHxihWJSEhIQmJiCpVqlJaahewswptjAc4zMBeY8WyBnk3QCXVOdgGBZ8bOLiTgBcjMykMGQU9Lz0ZqehaHGZwnB0uWLsIrr7yEt995C59%2F%2FjG%2B2fslNq9fjJWzR2LtTP0CQw88OrsPHpvbHw%2FP7IP103ubevB1U3th7bS%2BjCPDsJlxZMHIe1ggvQj3Xnk2rjzrRFx%2BZidc%2FfvjcNXvjsWVvzsG3S45FePvvhBrJt6DhWPuxtj%2Bt6IkhxcrywYRvKhbU614rNy5EDQONhnB4QK8rqzBuPU4uQgTfp6g%2FIA76cKU6lwsWh7hbqXzbubldJo2BG7JObVZvk%2F62wEeQTNw%2Bv4yuAHbqT7gAlvxQu8sEdCJLPilpaXRWdORkaEfYs007hyEVsBa5eUWBsC2KiTwhZxWkFNZnI5gC%2FDsLCsB7iDPyMzheDaqqqqwefNjBvB33n0Hn37%2BGfbs%2Bxoff%2FgGntiwDMunD8amRcOwbfFQZmjm6vmDsXnOAPOs5jqCvmLSA1gyrgeWju%2BJZYwjK5nBH5o5COtmDMSKCT2wfNy9WDG2G6G%2BH4%2FN6o0tnHfV%2BLuxYFw3rF4wAqV5cchKS0UcIVftyb8fcCu3HqfGwC2Fwi05wHUH8C%2Fv3wq428Bvq3DLalBcuYW6OZo0UfdJdXSK4AnUlR2BrOxsZOWEUw6Va5STS7ClPDp0HRFoKbfIKk%2FDYmQL6JyiOsri95n8PIvg%2BwHXLxufePJJeOW1l%2FH%2BB%2B%2FivfffxaeffYK9%2B3Zj%2F%2F7d2P7FR9i8cT02rZyIp1aOwdPLRkMv4Nw6fxg2zhuMRwn7xgeH4dF5Q%2FHI3CF4ePYQbOBQBUxVG26aPxRb5utBCb04aCA2ze6PZQ8OwNKFY1igfRmrFy9AdmoayvTz4elp5iFoP%2BBSABCf3Gehakyk%2BHdK26Sh4A7dVvvsqLsIrELnDycHuF9hqwkPVWFBbkge4HJrxQ05s3Fjk5UFcDi4pSDg2YRbylGWJtiSqvZy84s4Tocm1EGVEmhBXuJJ4xZwI2VxQc67QSa3Izs3F3869894%2BdWXCPh7Rh99%2FAF2fv0VvvlmL4D9%2BOrLz%2FH81mXYvHKcaa3Us5jbHhyJzQRdv6sjwKXH6MZbFo%2FB1qVj8SSneWq51dPLOc%2Fyieblns%2BvnITHH5uBLz57GV9%2B%2Bi7mTJ%2BOfG5HAWOSIE9NTOAJ0%2FEKHu%2F6YDSsHxrgtozVEOCS9i%2F4Xf356%2BsHC3hWZhaKCgmh4MpgPFBE4MnNIuwHUjbjh5RDGccm3AI8L5%2FLomvnEFwLd4kBPCfHJ%2FMZQXcy7l5oHFzrzs0vwE233Iw33nrduPf71EcffYDt27%2Bgg%2B%2FFP%2F%2B5H9%2Fs38eC51t45ZlV2LpmOrYtm4ynlk7C1kXjsGXRGDz2IMFeNApPCv7Vk%2FHcmql4Yd1MPE89y%2BmfXT0Dz62dhXe3rsSet7bin3vewM7tb2H7Z%2B%2Bjf%2B%2FeKCsqQWFeHorz88wwLSUFeqdia5VNvFu6xuuCEV4%2FPMAt3IGootqZcHL7YGKMhdip3vL42Q8OcNVd5%2BbpF4UZFbIYDwzggky%2FMEyAD6AcZmsnxZA8OndeQSGXVWL%2BFrA5dOoA4LllIaKr53nyIku61i%2FnLCzCPffdiw%2Fp2u%2B99w7epT786H1s%2F%2BoL7Nu%2Fx7j4fuPkO7Fnx7t45an1eHzlHLzw0EI8sWQ8Hl8yFpsWjsIT%2BsUHtVKum4bnH5qBbSun4Ln1c%2FHSowvx%2FjMPY%2Fe7L%2BCbr96j3sHeXe9g14738fkn7%2BGyiy9ESWEhinihFRXkm2Ex%2Fy7gsUpNTkEMyyb6WRLViwcgOIB%2BkID7ts9fU%2BNX4AcM1GDnA%2FcHC7gOtJ6Va6XmVwLemidJcCteCOoMr7CnuGAc2nPWcDIurXydV2xcW4DnFxQjv1CAe9MYwAU3Ic4uM8rJKQ9CTrjNdwHA7cVVVFyCXn1647MvPjXx5J133zIRRYDv3bubkO%2FGN6CTYw8h34P9uz7HOy89gzXzZ2Dj8kl4dNkEPLx4LB5bMRnbHpqFpx%2BZh6c3LMDzm5bjo9fk1p8A%2F9yBf%2B7fgT1ffMC%2FP8fe3Z9i186PWYh9Gz%2F%2F6U%2BQy3JIEY%2BNVMg7kxEv4EJefLmMZimpBD0mhgDUhdzkcRcBeLxtPv%2FPBFwy34cB3F9laJbn%2B97p3w84D7wDXDUlOcy6BUWEksqiE5sCn2QAF6QWPL8UO3Lz5MqEmoDm5UslxrkLCkvNBSPAjbvL2TlNbp7A9uCmcnMr%2BJlUZr8zLl%2FMiKI7Bx2zpBQjR47E5198ZqLJ2%2B%2B8iU8%2B%2BSgAuLL4P7HPDLt0vQM%2FPeUEXHH5hZzuFXz%2B5fvY8sRDWLd%2BCZ7Y%2BjBeefVZRptPzR1A8eabb%2FaZiKP5v%2FmGF8u%2BXdi%2Fdxf27tmBr776FI8%2FsYkQszxBty7iBRsQY1yhJ92pcvJsWSE1Lc3UOLkfmDJw8%2BR%2Bl1%2BM%2FneoMYCrT4rtMmsBV82IgzfUxRVj3LRO%2F17AW%2BgXsJpww1tDP5Sv%2Fh9FJWUooFvmlxAwnsRsurGk8RxCmyt4BXGI8gvKjAoKy71xfWYBz%2BPQ5nBFF1485vtyfleNgoJq5OdXcRmV9QDXRaM7SDYLrSWlZZg4cSJ27dqJTz792Dj4pxw6wAXpe%2B%2B%2Fg5N%2FchLnzeIyczh%2FJqprynHNNVegf%2F%2FemDV7GiZOGovRY4ajX%2F9ehPdzA7iizTcEHLwHaDn79u0x%2BvjjD7n8zzFkyCAujwXezEzGlBIjP%2BAyhFwCnstsnstsLshT0lIRFR1F2R6FBvCQWpcfmv77AJe4gWqwUWtkalq6B7hVHuHMJai5BDInn38Tyvz8Sp8qKH1mVVBQEVShk0Am5Lw4rKtz2fy%2BsKiKcNQYCfDg8uwwj5Dn88Ip4vwlJRVUGUaMGIHPPvskALjGBfiePbvovt%2Fg888%2FxcxZ0%2FGrX%2F0S7dq15Z0h20BZWVnF8VxUV9WivKzC1NfLkXv17umBzXRihiyo%2FnMv9tLBd%2Bz4wixfMeiMM05HaWkpSnkXKSLcxrV50RZyv7RvBUXcP36mgrCtSZKT5%2FDOkx2QXgdtq2Hl5mpb%2BOFFFKnhWhTKB6qD%2BgcPeCQPfPPmLZCUlEIQqlFRSehKyo3yi%2BimBDJPjksg84uqA1Ba6W%2BBGl4FhZUe4NbRC3iBFBJ68z2X5xy8oIDjVH6B78JhHi%2FgRVVcVEmwKlFWWo4JEybg66934DOCLLcW0AJcrq5oQkwNrAL%2B448%2Fxssvv0LQ25uLI5%2FlgZrqdigrq2buz0Pbtm1x2q%2F%2Fn7kLaH65tyLKfkaUvfu%2BxhdffoLde77G2rWrUVtbw%2Fm0LXTtIrq3alMc3J7yCL5iioXcAU4xt0vJycmmkczfszLcOfu%2B9cMAXAtqhMIBbWtLnOxzhAmJSSgvr0RVdRsCXosSQlBUQugIVz4hzResxQS6uJaFvTZUWzPU34VF%2FJzgF4RRYTFBpvIIty4SLU8qLNZ3nEaAU%2FlGBFwi5Hl0eHdHKOb8paVVBKySEWM2Qd6JTz9Tfv7QgL79q%2B0EUhHjG%2BzZu8c4uf59vWsX8%2FqXOPEkFg5ZYC4prSCo7bmsStzfvSdefuUV495fbv%2BC0%2B7gOOFmQVVw79j5Bb744hNzAZ133t9QWcX1l%2BuuEx7wfOPgAlwuroJ2PmOS5%2BSmnSCbZYkMJKekIDYuzvSiVJ9q4%2BKqXuR4w9L3B1dYTg6q8Ms6mASuUwS337yGz%2FvuYGo04GHhbYw8sK1a8YAnoJjuWF3bDuUVdKryGpSW1aCoVOA6pybIgrukDadt74mQ829J3%2BkCKOD0dUQ45fx5cnGOOxnAS3QR2Oks4A5yAk6XzxfcJTUEU9tTjdLyKsyd%2FyA%2B%2BPBD00T%2FyWefmeH2HV9hjwAn2vv%2FSQ%2F%2B5hvs3b%2Bf498YdTr%2BeANmeQXvBIS0e8%2Be5gJg2uZ%2FTbcPe1Ww9AqXu3ezYLnjc3z55ad46qltxr2rqnlcKrjtjCEOcD%2FcToLcllXUyBWE3ACelYl0Qi4pn8fFx9uCqOrQD6CwThoigROWk4NI8x3KslRbEurMcvfQZbnGI7%2F%2BtYCbfiYCXFWCUis6TB6hlkNVE4JaDunghEpwFcmhCXdRkWBua8AuKTvGkyBvVw90Jwsusy%2BztGA2F4y5C3ji8gMXQgByC3i%2BXJ4XhrahtEzbQxeng2%2FY%2BBi%2B2qmI8jnhtmoIcGnXnj2ooPvmFeSjbfv2ZvzLr74y8%2BzdT8c2cDNzK5bs32UA3%2Fn1lxbw7Z%2BycDnQZG8BXlGlu03jAJeL664hyK2L5yIzK8t0N3BKzyDodHS1GrunmMIpFJpw%2Bj4AN0D7FbIc6XsA3MHdyqhly0g6ZUkA7vKKtgaoYjm1oGUMKS5uxwwrmAV1B7pgJ08dzd%2FFZQS8tC7gDlg3dFC7C8HJub6myWMGz1MGV25XAZQqotOXlbcxgBezTPDMc8%2Fjw48%2FwudfMkJsJ4iEfTdjiZxagJsUTcClPfv2EebtXJatvquorMTosWM89%2F6nmW%2Fvfk8e4F%2Fv2k64eWf47AO8%2F8GbLKz%2BgvtebAqphcUEu7jUDCU%2F2H7ApVzTBqCqU8UVVa0WICtb9fnqU6O4IhHydPV3TzMd1xqCPBw4ofp3Ay6FzhdOhw74oYpZyQHekmrdKsq4kGKJQCorJ%2BAerFZtCZZcWs7dwQP8WF4Ix%2FKW3ZEi9OXhXdwPufvMTsMh3byoVLFG33vZ23Nw%2FS0Jbsk5uAB%2F7Y038RELj19u346du742EPvh9gOuzydMnMj1FqG8kvm5uBhPbNvmgb3PDPfs2%2B1pl6k52bV7O5f9CSH%2FFNOmT%2BT6C0zhsrSsnMemkvtfEYD82wBuIFf3YEYW9dkR6OodqRoeSaALchVC1VCk6lr3E4PhwAnVfxTg4Sb8rlKDg3kynSV3m731ebSpflOtQkmp5MUSD9ICglhIwIsUQxhHBHdZ%2BTGEhYAbdaSOIeR0cQ9wB7KkGpec%2FAof4Fq2wHYKAm4hD7q3H%2FBixhtdgLrtv%2Fv%2BB8bBFTME9zdeJJH8kEtf796FY47VXYYRo0Z3kSJMmjLZuzD2Mr7spujae77mcKdx8F108C%2B3f0yP34e%2F%2FPUPLFyWo6KigsemjCrn9h%2FEwU1hujQAuBWBF%2BhqJCPkplMaY6HyeRajiuQHXUpNTfVaRO2r6w6mwwl4YxWujtwvN13oth1hX3RzYJmF6E1JB5GZVuO8%2FUk6YK6KSn1MKlSgpDsKcIEkoBzc%2BVSBwFXWLqd7l7dHKWEW1BVVHQNygPvhFuwCOyevIcC5PqqwxNay2NoVC7arYXGAF%2FI7xaeTTv4Z4dxt4okkgPd9s79BwF946UWuo4T7VRIA%2FK5ud3O%2B3fwWxsF3Ee6du3dyubpgCLpx8I%2Fx%2Busvoaa2IgC4HFxwHwxwVaka1QHc1azIyV09uQU8l%2FlcUjWig91J0cVCXh%2BuUP1HAW5%2BrMkn824N85YkK%2FObNZ7Mz18fQGa66OAT6%2BrXrc5U8QmJPGnVPHltUM5CZalxb8HETKxcLEAZVQrp3kXK2QS8mICXEGYBLcidSvm5AZrzBSCX%2B%2FPvXNVnq8qQoEoqWFrAGTm4fgO4qiMN5HVlMrjGCysM4H%2F52%2FmMEftNAXHH1zuN5MSSIoeD3Wbyf2Le%2FPnc1nJuI0Gt1p2iEJdcdqmZXoDv2UfA97JQScB3fP0V4d5hMvj2rz5F9x73MrOXUg5w1egIchaYGwKcUU9VoVIo4AZy9dHJF%2BSqXbFS07%2F6sKgRSspmdHFSY1RaarophOqtA7b%2Fir0T1xMLeX6IGqvvBfDoaL0uoa5i%2BVlA%2Fs9jow%2BsuBjExOpJ9WiT61TnrQeA01nIqahsS3AIOFVW5gFe6NVqFNORBTezdxBwK7m4IDeqlLO3M0D7s7ZAVs2JakMC1YOCVncJOrcF3Dq6PjN14h7YgajCPC4Hz8sv47a2wR13diXA%2FzRgq3BpCph75MK7vTxtQVcEEej3db%2FfwF1RVUnAtdxCXHDRRSabS5p%2Btwf4VwR859c7TGPRp59%2BiJ%2BcciLatGXBu5wXSLkAr%2BTdgPlbDWBhMnigRoVwS3XhVguuG1dXheCDIHkaGtDtuGT632cLejq9CqaZ1s31FJXL5fX1HwR4jAdmnBP%2FjiPMdaTP%2FNMcRLG81cXExBLyaEIezRI844kHuKoFVe%2Bt%2FG0cPATwYgP4MWEAZ%2F6mgyu6%2BAE3BUnmazm1gVfL9QBWnbhgNxHFq2s304UFnFBxXjm4AB82fDSB3meAFsSSzdFWfsgFuB6OkIO3bd%2BOkGu5BQZwOb0ANwVNFjB37rKAq7FHgL%2F73luoqalCdTWjkQG80gBeEoBcLh6EW84dBNzKwqzuwup34wDX3x7gHGo831NBQVFADnr3ULZ19GzzWGDDkP%2BwATcPMHs6QkDGx8ciXsPYukogqEYaj4tthOKpOMTHxBPyODp5HOISks3JCMCtargyW7sRcGABXiJnZiwx1YO2StAVNI0qVMhUbcoxBmpB7sAu9ob%2BcQeva%2Bgx36lKknLrVuunWjFz1VeFDq4aHRV%2BFVEeXLDYAG4cfId1cBtVLOgOcA313Uk%2FOdmAXcV4IgdXBn%2Bgdy%2Fs269egyDgtp5c8%2B8k3HJzdcVdunwJ96uMub2KQyu1EwQAL63kvsrJCXpRiNRHhVLvSSuN27%2FVhC%2Bog%2BBbR9d36qxlxHml%2FEJOY5r9Nb0cPo8XQr6pk9dFJ9BVjvq2gPsBdQoHp%2F%2FNv99FoY1B0hGCOyEhDgkaeqB%2BV8DjCHecII9NMA8QqMXSAV7iQVbs6rINbEHAi0ro3F4deCjgUinH%2FYBrWbpgHLxSaUVbOr1aQe00gQvB%2Bz4c4HLwUi5HgNe26YiHH9nIAqKAtPn7q512KCdXgVOFR4GuGpZnnnuW6yox2Vtwq5BZSjAWL11inNsCrjjDiGLm32lqUzS8%2FsbrUV3Lwrfc2wFewYvNQM5oxaEgV1ypo2LKNOEHIZXcuAPc9Y9XBy2X51V4LdadQY1IvDuoZVl%2Fq%2BZG1ZQlLCgL7spKxi0qJyeHcPqdvD7g%2Fp6BB9L3BniiFO%2BJsDak8GA7WcBj6dwxUbxQ5N48sOVVtTxpBJyyDt6WB9VV9bXlNHZYWEzIiwW5GnqsHOiS%2B8xeFJLn2gZcjSuKVDPKMA5VtuO6PNAFtZnOv14LuIkoasmkgyuilHHadu074dXX3yLAqt6zrusA17hfagCaPmOGaR5XLKmuqTF9SSqYx1944QWT29V3RU6vC8JeHNLXpgAbzO0shFfVcL5afqZGMN3tuM0hgBcTbCcHuIE84OLWjZ1bC3Dr%2BLwLUEXFLMByeaY7gif9rbuFVMV1Z2XlEvBy0xlOUuex6KgYgh2E3NWO1XHq0MfMwigcmP9KhQXcAdt4sK3i9Qo0Aq6DER0di8ysHEIt4AgOc61kABd4Za7Bph3BEGxt6D6EvIhZ3Dh53QYfjeszqQ7ghLLYwCvZQmV5FQGvasf5gs5u3J7rCwe44kwRo4ytA6%2FFsZ1OxGefb8eevTaDW5jrwi3gJbVe3nbHHXQ%2F5WMCTjeuIeSqDXnvvfewm06%2FZ68FXJLzS1rek08%2FxfWVE2zBrZ6VtRZwtfKaOFfDY6WL1gOwxMp25%2BU43beOiwtuEzMoQq7PFG3MhVGiMoatotU%2BujuquavKGLg8e1fQQyEFBLsGVbzgJAEew7vyAQEn2MaRTXWx%2FTtU%2Bj7cjw80JPMu9zDQfhsdodoPk8EFupMP2sbA7ea3L%2BOJNwcjMTmFJ4W3PAO3HLytUWmFnFXwCVa5dluCYeHO91RAyPW5c%2ByAewt6D3BbTRgEvMTAYEGXg5f5HNyAbmJKsPXTwO0KmXTw%2FELrcCV0sxNPOoWRQlWAez0Yg2AH5aLLDpx51u9QUytQSjmsQZs2bcyt%2FcMPPsQexhz1OnSA644gKapMmz4dNZy2wnQbDgKuQm6gzEKDkItblw06rXorFgtek80VQYJZ2gJeZL7T%2FqhlVhBLKuCri0RVNeMfj4tkC%2F08BiywCm5BXlPdBtWEW1Kf9ri4hADcDTm4P3bY9hA7DP7wQCtER7Y%2BqOpB%2Fh10RLSq%2F1Tz4dWAGFAFrU%2FhoHYKwh1reqxJqvdWBizjSQu4N8Euq2hP2VoRdZyysYRAF7Yzyi9oy5PThkMCT0d3ju1AdzKAm1qUIOClBgYruz5dUITc5HFeLDyRQbjVrO%2BDm2DrcTXbT6YKPznlZyY3y70FooN6p8S%2F%2FVLcUA%2FC2ja1xrklwX3SSSfhy8%2B%2FIOC7sZcXyh5C7SCXVLNyZ5fOqG2r2iWbvf2A21qnIOAmpgQgt3KxRbUsBYLcuLgtTKorreBWq6y5IwQcm8vmcamt7USwBTiPE4dydz3RVMwIU13d1jys4QCv4jlU%2F337DkgP7DCAO5eW3Ftu9evR7pc0BG9MVIRRbKSV%2B9svN30d%2BaBvUGHmCw94vIZ%2BhYdbCsIdi1jCLSWnpxMoZstqwSb3DgKuhhrJAW4iRxGh9WQcXFHF%2B67RgDuwnUIAtzU39QE31YU8qXrMLZ%2BAtGnXHj%2F%2F5anEGwZeQR0A3APaL9WklJbT8ejgDnAV0s455xzsJdQCXDFlFwuYml7uLcB1Af3qtNMYaRTbKgl4XQdvCHC%2F3IMipipRVYimilBSYVN9frRMuyypkrGtgne26uqOvMscZwAvJeBydEU0PSxSyelrCHiVAdxCrhyenJzaaMAFt2QaB%2FXy0GirWCpQ9RwdhXjK%2FR2vJGGqqKMD0wt2NTSaxsZwQIco2muY9OuIGC5QMcXVYccJ6IS6SuBnii6JYaTP4xMkFi4Jd0JSsumfXK5bW5VAc3AzS3vRRHA7eG2hskMd6TPn7g70AwGumhkBbrO3J55IxRS7bpvHGwLcNBARiEpekFXUmWedZQBXrUcQ7iDU%2FsLi2ofWcZtKGDUIAwuKUhFjwv333otv9u%2FHN%2Fv2G8h37LDVjJpXgL%2F62uucTw9llHDbrHvLZSUHpADXHTAQU0JkQFedOSOI4NTD12r4KSxShFGPTRV4LdiKJFXVxxjV1BxHBz%2BO65cJqEuEzoPaEKr53TGorWlPsDkf120Kmlx%2FRnoWo0lInTgzroPbxhELtiSwncICTu5MTR2VKNEsDU8cxsXqe83D5ejHqHgXCEDvlhXFZYXIf0EEAA%2B6tifCmpDIFfvFz1X4TE6kO4coiUpMkhIM4OkZWXTvcpTXc28LuK3JcHDLOSzUxSXHGBnAmcFNodPTwQB3EUVgN%2BTgpqrQD7ic20mNQXTxqpo2jBrt8NvTzzARwkEcVLCRZ5c3fuXVV3EZhQSy0rzLUPXGZSWlWLFsOeHeh%2F0sqArw7du3m1oTN%2F%2FAwYO5v2pqLzJRokLPbzYIOPexIcCZxZWdLdSclhe7K0TqohHgVdUEloBX13QkwMeiTdsTDOAlPA8mNtII1EAmEwgLOKW37zrAVWVo%2BxvZGOJ3bRNJBJcAJaiSWsP9UPslsJPFVoJlKYnDRGOqmtaCbmH3we0tT3cAv4IXj5Va4oO1KAI1kcMkiUAnceUcJiVz5cmEWSLISQQ5qEQqiQVKis7tsnep6nF5UkxsMHDb7B2s6rNwC16%2FS0v6TLUqRgWC0U5TVOx3fVuL4uq3VXOiAqYANzlcWdOAbQuYDvBwTwHpIpF7qRahqkZQVePCiy4xrZMWasUSNe4EG3gkufF2urIadPSAg6vuKy0rQ9u27fDBBx9h3979RrtZ0PzqKxZIv6KL79xl7g5%2FOOdcA29VLe8uZtst3FbaDitb4NQ%2BEXJV6dWRPtP2q87c7rM93pyXx0KqqGrPO5PPvWuP5fYR8DYncJmCuwNKKR2f2nad%2BH17SjGGdzNedKpFqeGFr1ZO14kuqLqAuz5LDnAHeawHeRB0Kdq4tTFOQp1CnpIlMWgAJ7RxEXTz1pyWQw90p3hPCVy2k%2F72T6M7xhECOwAsIRbQVh7cKQlISZUSrVKSfEo2z%2F0lp6ZymIbUtAwCWOoDPOjedQAvsREkUD3oA12f5RXUBOSm8V8AoYCrA5V6CzrABYxrMVUVoY0nBDoEcLcc3ZpVaKuusY%2FRXXTxZXRwFjLpvKZBxsBN7Q0Crsjy7PPPGbjVRO86Wmn4k5NPYST5mu79DQH%2FhvnbAr59%2Bw4ucx%2B%2B%2BHInTjz5ZygTQHpu0zh1COC821nABTqzsrdfrqZIMhewkb1LqdbIHG86cgVjSRBwwk1nNg4uwNudyMLtCeacCG5JcaVN%2B%2BPMMajmha6o5gqZcvBiZvz6gFMEO%2FRHsEIBr%2B%2FkFnDj4ARczm3gNuLfTBGJCbwA4glqrCAPAh4A21NiXHRAdWCP4zo4PCItLQXp6ameOJ6RTCVRid64lIKMgNJ8Sud3GUgzyjI919RJX5lRjmMPuAqVgjsYMUzM8GAOp9x8dX3VEzcWcge45rEXhIPTRhQTMQh5OWEooXsHTr4B3Mo8shYWcF0gnJ45tpq35ko66eVXXG0cXI6tHoBOu32Aq2VywaKF3D%2FuL2NJCZ1b49KZZ5yF%2FbxC9u8LAr7jq68J%2BE4wseDJp58ntIKaBUpCaJ3XOnZAPsAl00hmIPf2TxeugdpWuzrZyNHeAK22AAM4x6sIdzXjSU1NJxNRqhlR5N5FPDaKjuWcpy0BN5m9ug2HwXhSpgoDFoRd3xTXW9TKRhMDtU%2BKEuEAD4rlPhUsGZGtk9NQmSSSEjlkLHaAy8WtkwcBN3BzeYlUEsF2qgM7pULrEdnZGbz9ZHrSeDpyctOszN8ZyM5OR1Z2GqVhRlDqS5ydhczsbPPUiOpiS1lgEuA6EfaA0yHUccrL3Q5w58aSoojftQV3dq7qZQW7OkapHtvOU1isCKPPBGgI4Dw5OunGtf2A050Ecx3ABbaB2xauVCirrunAwuIxuP7Gm7GHhUMLs8B2qgv4Xd26cf9UFVdXl19%2BBfZxfqc9u%2FdiJx1dLv71rr3o3qO3uaBcVi43dzkBHSof4F7Zwt2ZbB1%2FsNq1jghuTZtOhLuDURDwTka1tccT4mNRwoshj%2FGshOupbcvP2x5rCqSm5oV3snLm%2FArejSWBnpGRaQC3PUXrAu6HOwC4MrMP8HByri4YEwi74ongTkwgwFQAck5bD3DOl8T5AgqF3AJOoD2QA4DnhAPcKRTwbMKYSzALCRJdrJzubRxcgMt5rLO4VkT38LCLJAZwunY4wPWd%2FtZQcB8McN2WtT7bLF8f8KAc2OpSq%2Bo2Rhxm2qpaZlVGhutvuhVfB1ofwwO%2B%2FauvcOr%2F%2BxXXZ6HWE%2FQletSMf3fp0sXUfe9TIXM%2FAd9DBxfgdPDPv9jB279cWtWBgldAtTcO6oZuXN%2B5LB0AXE7uHVe5dTlhtmUcpw6cnlmbgAtsAzdjiRHhlmraWMBV4M8n4GV0%2BRoCbvafBVK5uACv4HkMB7i6Qx8%2BwBVDCC7HFStUuFT%2BFthO8XH2e39McVHED3RSfAwLrEEJ%2BCMEcm5eOnJz9ZMdVJ6Gmd5n1tXl8llZ%2BlUF%2FfJYEHLzkpmcbLqs3uVXxgOvk%2B0BXieDe9WDPKC6Hao2I1%2Bvh%2FBB7mCWYwtwKQA4LwA3rQD3xwsLeLUZyq20LsGrVkvXHUDSOm0tiu0PXmSmIeC84xRwqOZwFfgqmT9vvOU27DD5m9r7dT3AVZf97PMv8A5TxDuWfQJHj5kVs%2FyhTD5z5kzCvce8ok2vatu162u89trr%2BPrr3XjyyWfNK6KrBJEPcD%2FcQVnA1TKr2iCB7Ybaz9DpFU0EeaXcmhFEwwqqspawU37AKxhX9HBIqS4KrqeG09XUqiCqeNOO22dd3MUUG1XKA89yysUlP9ChcnlbLl0fbsHPgqAXPaRYFSZVqBTwhNqCLuBtjYqT4ockqAVyCp1fSva7OZXIGETAUwmzB7lR4wHXq8r0CFRBEU%2B0B7d5z4mRrZs2jkO5QpAOqKr5BLhqRvyQOyd3gLtM7i4AwW2ihgd4oJBJYNUUX04n0skS7PZuUR9wO4%2BFW3XIhVRBaQWKuP2VbQgbIb%2F5jjuxw8DdMOALFy0xT6yrzKH8LbjVU0%2BAP7R%2BHR18F%2Fbt32Ve7rNr1w588MGHjCm7MG7sJOhlQNXVvJh4x6lURlaM8OJEeXWIPMCV0QW3MwwHdYWm8cbt%2Frcn3McawKsIsYPbr6o2x3HZHXkM2tC5jzfuXk2nV0TzA%2B6qCVWTolqV6uoaY2ruQeXDA7iDujWX28qOE3SbvQm5B3M9wD3wFWn8ru1gd8AfIZDz8jN8ykReXhaloQBm4TEnizuWGXRu5vVsxRd%2Bl5efR%2BCKCZGcjPmbt3rBrQwe6BprpKo656IOUlX%2F2XpxRZdCfpdXUI2snHJKrYs2suhikEx2pvIKFSt4gZgqQidbJWnvEFxfYwAPOLhtMKki4HLxW%2B7ojJ2EeJceM9PLeTzA9dCwsvdHn3yMwUOG8c6i%2FS6n1CekxDi5AH%2Frrbewe%2FfXFnI95LBzBz766BPs3rUP5%2F3tQlTygq8ktH7AXV4OB7iB3MFtYNa0ela1ripViJQ7m7%2Fp3IwhcmpJ31UJbkFOt5bh6Bi27XCiiSf2LqIWTMGtYRuqNgB4u3a8CCurUFvTxnuY5dsDbguXTta9%2FYA7xXsObht8rOoDLndnRGFeTyLokh%2FwVA0F%2BAkndmwAcCmHgGdbwAW1B7n%2BlrML%2FoJC%2B6phNVaoP4OetzQlfA9sB6D6f5sGGsYKQWqhte5s4wanNYBXscBaRnfUs4bVRnnmFQ%2BKFnL0KuQWlHOZdZcvmcztAS24%2FYAHFQ7wYESRbruzC3brAYUQwOXgaprXayQuuexyc9cKAK5jQMDbH9OBUeRr7CLgiil7qZ07d%2BKzT7%2FAKy%2B%2FgXYsyHVoT9c0cPsAJ8zGjT2V0UmVjQOA884kCe7QB7GdqunMte1ONN%2B7aeTUAcC9iKL16DjojtrumBM5HdfHcRV4K3khBQGXVFVYi%2FbtGF843oYmIMAVU%2FS447cCnMCZp8OM%2BB1BDlQD%2BhTM3HZesxwDPQFXTvcAdwXRJI5LKQI8PhapVFoch7ExOOKP55wVBNspADgdnEM5tYXaOrmpcWFez2GEKSwqJNzlxrltd0wHt2Bzjmnhdc4tuJ07W4cmyOYlPPZlPBnZeo2xXodAmH2Aazl6zZqeJDd1wWa5hNtzc%2F1tC5c261vIBTvBdgVOyl4QHuCe%2FBn89s5dse%2Bf%2F8RuwqnHzJwEt5rt9QoJ9SNR7z1lcIFdXKqIUozTzzzD9AFXD0LBLalAunPnbsyfv9i4ZG1tR68w51QX8DKJnxtxelX3uQhi44h18FDQ5d7VtcfT6VUW8aap5jSEXK6tyCIJaMU61Y%2B3aXcct593v3KWl3TXZaG7nOeyslL14OpRqGjShhdmB%2BPeerloEHCqAcDd87yB53U9sIOtmC52WLeuKwtywMHNdL7srWgiqAU3lewphXElVRLgAp0ufsTMmdNN7q4Ldl3Vhdzmcs2Tn59FoFU1WGmcW%2F2p9dBACcF2kUSu6aKJjRg2VwtsAy8dW9OoX4ierMnNLyfcRUj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z@qHIQ+gPFzg89e$VNYqBtBvH8p@52@dN9|pl$bOUBhICMHg&g$FLo4N3X>aCEn~Gz z&IX!fevQ@NV=)a)Muk>Btt2e?^Q;MeKJFYmOn$=*hf9PS2D0mbZ_Uf+)j<}ytY$2< u)sznrkAa_#RDuhT^4J-(Ec!jo2JVAu0{>s1EB-VPIryxD66C}V 60: + print('超时退出') + break + self.capture.release() + print('录制结束') + + + def stop_record(self): + self.exit.set() + print('手动杀死线程') + -def main(): - st.title("High-Definition Video Recorder") - - webrtc_ctx = webrtc_streamer( - key="example", - video_processor_factory=VideoRecorder, - mode=WebRtcMode.SENDRECV, - async_processing=True, - media_stream_constraints={ - 'audio':{}, - 'video':{'height':360,'width':640} - }, - video_receiver_size=10, - audio_receiver_size=10, - ) - - if webrtc_ctx.video_processor: - print( - webrtc_ctx.video_processor.frames - ) - print(len(webrtc_ctx.video_processor.frames)) - for img in webrtc_ctx.video_processor.frames: - st.image(img) - # st.video(webrtc_ctx.video_processor.frames) - - if st.button("Save Video"): - if webrtc_ctx.video_processor: - save_path = "recorded_video.mp4" - webrtc_ctx.video_processor.frames.save_as_video(save_path) - st.success(f"Video saved at {save_path}") if __name__ == "__main__": - main() + # https://blog.csdn.net/qq_42069296/article/details/133792896 + if st.button('开始录制'): + st.camera_input('tt',label_visibility='hidden') + recorder = VideoRecorder() + recorder.process.start() + time.sleep(10) + recorder.stop_record() + print(recorder.frames) + for _ in range(10): + st.image(recorder.frames.get()) + print('ok~') + diff --git a/pages/text2audio_autoplay.py b/pages/text2audio_autoplay.py new file mode 100644 index 0000000..b186f29 --- /dev/null +++ b/pages/text2audio_autoplay.py @@ -0,0 +1,3 @@ +from utils.text2audio import text2audio +import streamlit as st + diff --git a/utils/audio2text.py b/utils/audio2text.py index cdfa617..29bc99a 100644 --- a/utils/audio2text.py +++ b/utils/audio2text.py @@ -18,15 +18,39 @@ def audio2text(fin): headers={"Content-Type": "application/json"} ) resp_data = resp.json() + print(resp_data) prompt_text = resp_data["text"] f.close() return prompt_text + +def audio2text_from_bytes(bytes_input): + audio_b64 = base64.b64encode(bytes_input).decode() + input_data = json.dumps({ + "audio_b64": audio_b64, + 'input_f': '', + 'input_ar': '', + 'input_ac': '', + 'input_acodec': '', + 'no_speech_chtreshold':0.75, + 'debug':True + }) + resp = requests.post( + 'http://192.168.80.29:8789/asr', + data=input_data, + headers={"Content-Type": "application/json"} + ) + resp_data = resp.json() + prompt_text = resp_data["text"] + code = resp_data['code'] + request_id = resp_data['request_id'] + return prompt_text,code,request_id + def audio2text_test(fin): import time time.sleep(2) return 'audio2text 测试结果' if __name__ == '__main__': - r = audio2text('records/6f64cd30-bdb6-4705-b2fb-e9207149825b_input_audio.mp3') + r = audio2text('/Users/wuziwei/git_project/Real-Gemini/records/180367f8-85d3-4ec3-81dc-95e9c095b7ec_input_audio.mp3') print(r) \ No newline at end of file diff --git a/utils/extracte_img.py b/utils/extracte_img.py index 3832406..432868b 100644 --- a/utils/extracte_img.py +++ b/utils/extracte_img.py @@ -2,7 +2,7 @@ import json import requests -def get_main_img(video_file): +def get_main_img(imgs): # resp = requests.post( # 'http://192.168.80.29:8789/asr', # data=input_data, @@ -10,4 +10,4 @@ def get_main_img(video_file): # ) # resp_data = resp.json() # prompt_text = resp_data["text"] - return ['./source/1702803312680.png','./source/1702803339961.png','./source/1702803359034.png'] \ No newline at end of file + return imgs[::2] \ No newline at end of file diff --git a/utils/get_gpt4v_response.py b/utils/get_gpt4v_response.py index 468bbfb..c5ddd04 100644 --- a/utils/get_gpt4v_response.py +++ b/utils/get_gpt4v_response.py @@ -1,20 +1,33 @@ import base64 import json import requests +import numpy as np +import cv2 URL='http://192.168.77.1:8000/main/' def img2base64(imgs): base64_imgs = [] if isinstance(imgs,list): for img in imgs: - with open(img,'rb') as f: - img_b64 = base64.b64encode(f.read()).decode() - base64_imgs.append(img_b64) + # with open(img,'rb') as f: + if isinstance(img,str): + with open(img,'rb') as f: + img_bytes = f.read() + else: + img_bytes = np.array(cv2.imencode('.png', img)[1]).tobytes() + img_b64 = base64.b64encode(img_bytes).decode() + base64_imgs.append(img_b64) return base64_imgs else: - with open(imgs,'rb') as f: - img_b64 = base64.b64encode(f.read()).decode() - base64_imgs.append(img_b64) + # with open(imgs,'rb') as f: + if isinstance(imgs,str): + with open(imgs,'rb') as f: + img_bytes = f.read() + else: + img_bytes = np.array(cv2.imencode('.png', img)[1]).tobytes() + img_bytes = np.array(cv2.imencode('.png', img)[1]).tobytes() + img_b64 = base64.b64encode(img_bytes).decode() + base64_imgs.append(img_b64) return base64_imgs def gpt4v(query,imgs=None): diff --git a/utils/record_video.py b/utils/record_video.py index dad0ae5..b397d11 100644 --- a/utils/record_video.py +++ b/utils/record_video.py @@ -1,83 +1,83 @@ -import av -import pydub -import numpy as np -from aiortc.contrib.media import MediaRecorder -from streamlit_webrtc import WebRtcMode, webrtc_streamer -from streamlit_mic_recorder import mic_recorder,speech_to_text +import time +import streamlit as st +from queue import Queue +import cv2 +from datetime import datetime +import time +from threading import Thread,Event +import speech_recognition as sr +from utils.audio2text import audio2text_from_bytes -def process_audio(frame: av.AudioFrame) -> av.AudioFrame: - raw_samples = frame.to_ndarray() - sound = pydub.AudioSegment( - data=raw_samples.tobytes(), - sample_width=frame.format.bytes, - frame_rate=frame.sample_rate, - channels=len(frame.layout.channels), - ) - sound = sound.apply_gain(0) - # Ref: https://github.com/jiaaro/pydub/blob/master/API.markdown#audiosegmentget_array_of_samples # noqa - channel_sounds = sound.split_to_mono() - channel_samples = [s.get_array_of_samples() for s in channel_sounds] - new_samples: np.ndarray = np.array(channel_samples).T - new_samples = new_samples.reshape(raw_samples.shape) - new_frame = av.AudioFrame.from_ndarray(new_samples, layout=frame.layout.name) - new_frame.sample_rate = frame.sample_rate - return new_frame +class VideoRecorder(): + def __init__(self,record_fps=0.5,max_record_time=60): + self.frames = list() + self.max_record_time = max_record_time + self.record_fps = record_fps + self.stop_singl = False + self.process = Thread(target=self.record_v_a) + self.exit = Event() -def record_video(video_save_path,audio_save_path): - """ - 该方法位录制视频和声音,单独提取声音 - """ - def in_recorder_factory_video() -> MediaRecorder: - video_file = MediaRecorder(str(video_save_path), format="mp4") - return video_file - def in_recorder_factory_audio() -> MediaRecorder: - audio_file = MediaRecorder(str(audio_save_path), format="mp3") - return audio_file - webrtc_streamer( - key="video_record", - mode=WebRtcMode.SENDRECV, - media_stream_constraints={ - "video": True, - "audio": True, - }, - audio_frame_callback=process_audio, - in_recorder_factory=in_recorder_factory_video, - out_recorder_factory=in_recorder_factory_audio, - async_processing=True - ) - return video_save_path,audio_save_path + def record_v_a(self): + print('开始录制') + self.capture = cv2.VideoCapture(0) + self.capture.set(3,640) # with + self.capture.set(4,480) # hight + s_t = time.time() + img_id = 0 + while(True): + if (time.time()-s_t) % self.record_fps == 0: + try: + ret, frame = self.capture.read() + except: + print('error~') + break + if ret: + img_id += 1 + print(f'正常进入 ret:{ret},img_id:{img_id}') + frame = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB) + # st.image(frame) + self.frames.append(frame) + # self.frames.put(frame) + else: + print('captrue closed') + break + if self.exit.is_set(): + print('手动结束') + break + if (time.time()-s_t) > self.max_record_time: + print('超时退出') + break + self.capture.release() + print('录制结束') -def record_audio(): - audio=mic_recorder( - start_prompt="开始录音", - stop_prompt="录音结束", - just_once=False, - use_container_width=False, - callback=None, - args=(), - kwargs={}, - key='audio_record' - ) - return audio - -def audio2text(language): - text=speech_to_text( - language=language, - start_prompt="Start recording", - stop_prompt="Stop recording", - just_once=False, - use_container_width=False, - callback=None, - args=(), - kwargs={}, - key='speech2text' - ) - print(text) - return text + def stop_record(self): + self.exit.set() + print('手动杀死线程') + + +def record(): + r = sr.Recognizer() + r.energy_threshold=500 # 检测声音的阈值 + with sr.Microphone() as source: + video_record = VideoRecorder() + st.write('请开始说话,下面开始监听') + # phrase_time_limit 最大录制时常,timeout 等待时常 + video_record.process.start()# 这个会进行录像 + audio = r.listen(source,phrase_time_limit=15,timeout=3) + time.sleep(3) # 额外往后录制2秒钟 + video_record.stop_record() + return video_record.frames,audio + +if __name__ == "__main__": + # https://blog.csdn.net/qq_42069296/article/details/133792896 + if st.button('开始录制'): + st.camera_input('tt',label_visibility='hidden') + recorder = VideoRecorder() + recorder.process.start() + time.sleep(10) + recorder.stop_record() + print(recorder.frames) + for _ in range(10): + st.image(recorder.frames.get()) + print('ok~') -if __name__ == '__main__': - import streamlit as st - st.info('test') - audio = record_audio() - if audio: - st.audio(audio['bytes']) \ No newline at end of file diff --git a/utils/test_opencv2.py b/utils/test_opencv2.py new file mode 100644 index 0000000..aa5bfb1 --- /dev/null +++ b/utils/test_opencv2.py @@ -0,0 +1,97 @@ +import cv2 +from datetime import datetime +import threading +import time +import numpy as np +import streamlit + +class Camera(object): + + def __init__(self, video_path): + #如果是笔记本调用外界摄像头,则把0改为1 + self.cap = cv2.VideoCapture(0, cv2.CAP_DSHOW) + self.ret, self.frame = self.cap.read() + FPS = 24.0 + # 视频写入的图像尺寸与画布尺寸不对应会导致视频无法播放,需要实时获取 + WIDTH = int(self.cap.get(cv2.CAP_PROP_FRAME_WIDTH)) + HEIGHT = int(self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) + # 设置摄像头设备分辨率 + self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, WIDTH) + self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, HEIGHT) + # 设置摄像头设备帧率,如不指定,默认600 + self.cap.set(cv2.CAP_PROP_FPS, 24) + # 建议使用XVID编码,图像质量和文件大小比较都兼顾的方案 + fourcc = cv2.VideoWriter_fourcc(*'XVID') + self.out = cv2.VideoWriter(video_path, fourcc, FPS, (WIDTH, HEIGHT)) + + def picture_shoot(self, image_name, image_path=None) -> None: + ''' + 调用摄像头拍照并保存图片到本地 + :param image_name: 图片名 + :param image_path: 图片保存路径 + :return: None + ''' + self.image_name = image_name + self.image_path = image_path + cv2.imwrite(f'./{self.image_name}', self.frame) + + def video_record(self, video_path) -> None: + ''' + 调用摄像头录制视频并保存到本地 + :param video_path: 视频保存路径 + :return: None + ''' + print('kaishiluzhi????') + self.video_path = video_path + while (self.cap.isOpened()): + self.ret, self.frame = self.cap.read() + if self.ret: + font = cv2.FONT_HERSHEY_SIMPLEX + datet = str(datetime.now()) + frame = cv2.putText(self.frame, datet, (10, 50), font, 1, + (0, 255, 255), 2, cv2.LINE_AA) + self.out.write(frame) + + def video_stop(self): + self.cap.release() + self.out.release() + cv2.destroyAllWindows() + print('视频录制结束') + + +def record_v_a(): + + # video_name = datetime.now().strftime("%Y%m%d%H%M%S") + ".mp4" + width = 640 + height = 480 + + # fourcc = cv2.VideoWriter_fourcc(*"mp4v") + # video_writer = cv2.VideoWriter(video_name, fourcc, 25, (width, height)) + + capture = cv2.VideoCapture(0) + + while(True): + ret, frame = capture.read() + if ret: + frame = cv2.putText(frame, datetime.now().strftime("%Y-%m-%d %H:%M:%S"), (10,30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2, cv2.LINE_AA) + + video_writer.write(frame) + st.image(frame) + if cv2.waitKey(1) & 0xFF == ord("q"): + break + else: + break + + video_writer.release() + capture.release() + cv2.destroyAllWindows() + +# if __name__ == '__main__': +# # 录像+拍照 +# path = r'./video.mp4' +# camera = Camera(path) +# thread = threading.Thread(target=camera.video_record, args=(path,)) +# thread.start() +# # camera.picture_shoot(image_name='1.png', image_path='./') +# time.sleep(10) +# camera.video_stop() \ No newline at end of file diff --git a/utils/text2audio.py b/utils/text2audio.py index 4447a64..7642fa6 100644 --- a/utils/text2audio.py +++ b/utils/text2audio.py @@ -15,10 +15,12 @@ def text2audio(text,): res = response.json() audio_array = np.frombuffer(base64.b64decode(res[0]),np.float32) rate = res[1] - return audio_array,rate + bytes_audio = base64.b64decode(res[0]) + return audio_array,rate,audio_array.tobytes() if __name__ == '__main__': - a,r = text2audio('你好') + a,r,b = text2audio('你好') print(a) - print(r) \ No newline at end of file + print(r) + print(b) \ No newline at end of file From eb4988e17188c1bbb12b656d63fb04b2f55f5d0d Mon Sep 17 00:00:00 2001 From: wzw Date: Thu, 28 Dec 2023 18:32:41 +0800 Subject: [PATCH 5/9] v1 --- source/1702803312680.png | Bin 27718 -> 0 bytes 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zlqaaJj{&R*U})XTzu*kO4?sFC089Yz0Kf$RRQ~`#>wwn)SOjQ*Cn(=f;|CoRXggp3 z0zemFs2=eFfa;GPpuYeZs(+x}r#_&1SOH)i0AQ^DE$dUc2q10fulz#*19Cyf<7o_m zd;6aH!~`%@_n!a&&SZe0<&FS=$^tDf2mm(#P&uHwI|l$d=764`$sqHHu z4vfW98dNvHoOy~v^$O@44Al()PxI=pIrgM`=-5GNsJ!z3st1yAbu)GRYvKbu!UFS} z3XoTv83Zyh1c5#PbEtq71nTz%fwm_>phrUx^gcx};M);;{sjEAU+3U%=4K4E!EJB; zgrUum|9xQq7894h`uKkc(b~?{4WQVyf#nRqfZ{>uS_-U^4yKO4dSIz;ZEp@F0b>b5 P1L2ynq6Ceyt%LtR^6cb^ From d067cc17eb92709fa3b6d272a1e1a9a9ad2a600c Mon Sep 17 00:00:00 2001 From: wzw Date: Fri, 29 Dec 2023 17:46:54 +0800 Subject: [PATCH 6/9] update qwenvl --- real_gemini/chat.py | 14 ++++- real_gemini/utils_st/get_gpt4v_response.py | 1 - real_gemini/utils_st/get_qwen_response.py | 65 ++++++++++++++++++++++ run.sh | 2 +- 4 files changed, 77 insertions(+), 5 deletions(-) create mode 100644 real_gemini/utils_st/get_qwen_response.py diff --git a/real_gemini/chat.py b/real_gemini/chat.py index ef63caf..da8d04d 100644 --- a/real_gemini/chat.py +++ b/real_gemini/chat.py @@ -3,7 +3,8 @@ from pathlib import Path from utils_st.audio2text import audio2text_from_bytes from utils_st.extracte_img import get_main_img -from utils_st.get_gpt4v_response import gpt4v,gpt4v_client +from utils_st.get_gpt4v_response import gpt4v_client +from utils_st.get_qwen_response import QwenVL_client from utils_st.text2audio import text2audio,autoplay_audio from utils_st.record_video import record from queue import Queue @@ -11,6 +12,9 @@ import cv2 from threading import Thread,Event +img = {'assistant':'./source/bot.png','user':None} +res_ = {'Qwen-vl':QwenVL_client,'gpt4v':gpt4v_client} + # 设置事件锁 event_record = Event() event_chat = Event() @@ -19,7 +23,9 @@ with st.sidebar: with st.form('参数配置'): max_chat_turn = st.slider('最大对话轮数:',min_value=1,max_value=10000,value=10) + response_name = st.selectbox('选择模型',['Qwen-vl','gpt4v'],index=1) st.form_submit_button('提交配置') +responser = res_[response_name] max_record_round = 2*max_chat_turn q = Queue(max_record_round) @@ -34,7 +40,7 @@ # in_file_audio = RECORD_DIR / f"{prefix}_input_audio.mp3" #########################存储录入的文件##################### # 对话机器人的图标 -img={'assistant':'./source/bot.png','user':None} + if "messages" not in st.session_state: st.session_state.messages = [] @@ -47,6 +53,7 @@ def my_recorder(): print(f'record {i}') imgs,audio = record() input_text,code_status,request_id = audio2text_from_bytes(audio.get_wav_data()) + # 过滤一些无意义的文本 if input_text and len(input_text)>5: q.put((imgs,audio,input_text)) else: @@ -97,7 +104,7 @@ def response(prompt=None,imgs=None,autoplay=True,audio_response=True): st.session_state.messages.append({"role": "user", "content": prompt}) # Display assistant response in chat message container with st.chat_message("assistant",avatar='./source/bot.png'): - res = gpt4v_client(query=prompt,imgs=imgs) + res = responser(query=prompt,imgs=imgs) print('res[text]:',res['text']) if audio_response: sound,rate,byte_sound_array = text2audio(res["text"]) @@ -127,6 +134,7 @@ def response(prompt=None,imgs=None,autoplay=True,audio_response=True): video_show.camera_input('tt',label_visibility='hidden') # 开始录入输入 if video_show.button('开始对话'): + st.info(f'开始监听麦克风...') record_thread.start() else: st.stop() diff --git a/real_gemini/utils_st/get_gpt4v_response.py b/real_gemini/utils_st/get_gpt4v_response.py index 45c5d01..f8b408d 100644 --- a/real_gemini/utils_st/get_gpt4v_response.py +++ b/real_gemini/utils_st/get_gpt4v_response.py @@ -1,5 +1,4 @@ import base64 -import json import requests import numpy as np import cv2 diff --git a/real_gemini/utils_st/get_qwen_response.py b/real_gemini/utils_st/get_qwen_response.py new file mode 100644 index 0000000..69ca56f --- /dev/null +++ b/real_gemini/utils_st/get_qwen_response.py @@ -0,0 +1,65 @@ +import base64 +import requests +import numpy as np +import cv2 +# from real_gemini.gpt4v import GPT4V + + +def img2base64(imgs): + base64_imgs = [] + if isinstance(imgs,list): + for img in imgs: + # with open(img,'rb') as f: + if isinstance(img,str): + with open(img,'rb') as f: + img_bytes = f.read() + else: + img_bytes = np.array(cv2.imencode('.png', img)[1]).tobytes() + img_b64 = base64.b64encode(img_bytes).decode() + # print(img_b64) + base64_imgs.append(img_b64) + return base64_imgs + else: + # with open(imgs,'rb') as f: + if isinstance(imgs,str): + with open(imgs,'rb') as f: + img_bytes = f.read() + else: + img_bytes = np.array(cv2.imencode('.png', img)[1]).tobytes() + img_bytes = np.array(cv2.imencode('.png', img)[1]).tobytes() + img_b64 = base64.b64encode(img_bytes).decode() + base64_imgs.append(img_b64) + return base64_imgs + +def QwenVL_client(query,imgs=None): + imgs = img2base64(imgs) + input_data = { + 'prompt':query, + 'image_strs':imgs + } + api_url = 'http://192.168.80.19:6679/qwen-vl/' + try: + resp = requests.post( + api_url, + headers={ + 'Content-Type':'application/x-www-form-urlencoded', + 'accept':'application/json' + }, + data=input_data, + ) + resp_data = resp.json() + # print(resp_data) + prompt_text = resp_data + except Exception as e: + print(e) + prompt_text = '千问接口请求出错了,请确认后台服务后再尝试~' + send = { + 'text':prompt_text + } + return send + + +if __name__ == '__main__': + imgs = ['/Users/wuziwei/git_project/Real-Gemini/source/bot.png'] + r = QwenVL_client(query='描述一下这种图片',imgs=imgs) + print(r) \ No newline at end of file diff --git a/run.sh b/run.sh index 51a9156..b2b889c 100644 --- a/run.sh +++ b/run.sh @@ -1,2 +1,2 @@ -export OPENAI_API_KEY='your-api-key' +export OPENAI_API_KEY='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' streamlit run ./real_gemini/chat.py \ No newline at end of file From d16a6ac5ce25c2d8d90b7679e715673b94f847fd Mon Sep 17 00:00:00 2001 From: wzw Date: Fri, 29 Dec 2023 17:48:10 +0800 Subject: [PATCH 7/9] update qwenvl --- run.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run.sh b/run.sh index b2b889c..51a9156 100644 --- a/run.sh +++ b/run.sh @@ -1,2 +1,2 @@ -export OPENAI_API_KEY='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' +export OPENAI_API_KEY='your-api-key' streamlit run ./real_gemini/chat.py \ No newline at end of file From f1f31ca13ba43773d6af33eabf20bbd3eebd0c31 Mon Sep 17 00:00:00 2001 From: wzw Date: Fri, 26 Jan 2024 14:10:41 +0800 Subject: [PATCH 8/9] up --- run.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run.sh b/run.sh index 51a9156..a17a1d2 100644 --- a/run.sh +++ b/run.sh @@ -1,2 +1,2 @@ -export OPENAI_API_KEY='your-api-key' +export OPENAI_API_KEY='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' streamlit run ./real_gemini/chat.py \ No newline at end of file From faacba4b24eb14877dddac7539689193052671b1 Mon Sep 17 00:00:00 2001 From: wzw Date: Fri, 26 Jan 2024 14:31:39 +0800 Subject: [PATCH 9/9] up --- real_gemini/chat.py | 7 ++++--- run.sh | 2 +- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/real_gemini/chat.py b/real_gemini/chat.py index da8d04d..fa00c98 100644 --- a/real_gemini/chat.py +++ b/real_gemini/chat.py @@ -162,14 +162,15 @@ def response(prompt=None,imgs=None,autoplay=True,audio_response=True): st.audio(audio.get_wav_data()) st.text(f'识别后的文本:{input_text}') status.update(label="输入信号处理完成", state="complete", expanded=False) - with chat_placeholder.container():# 1.30支持设置 height=300px + with chat_placeholder.container(height=600):# 1.30支持设置 height=300px + # with st.container(height=600):# 1.30支持设置 height=300px # 容器高度设置,要等1.30版本更新,https://github.com/streamlit/streamlit/issues/2169 - # show_chat_message_from_history() # 现在关闭展示历史,只展示单轮 + show_chat_message_from_history() # 现在关闭展示历史,只展示单轮 response(prompt=input_text,imgs=imgs,autoplay=True,audio_response=True) print('对话完毕,释放录音锁,打开对话锁') # 对话响应完毕,打开事件 event_record.set() # 如果没有录入输入,等待 event_chat.clear() - chat_placeholder.empty() + # chat_placeholder.empty() print('达到最大对话轮数,结束程序!') diff --git a/run.sh b/run.sh index a17a1d2..6a7ebbf 100644 --- a/run.sh +++ b/run.sh @@ -1,2 +1,2 @@ -export OPENAI_API_KEY='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' +export OPENAI_API_KEY='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' streamlit run ./real_gemini/chat.py \ No newline at end of file

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