╭──────────────────────────── Traceback (most recent call last) ────────────────────────────╮\n",
- "│/var/folders/9z/dgt2y49d2qx_hkgt7qj8mc240000gn/T/ipykernel_45843/93925917.py:5 in │\n",
- "│<module>│\n",
- "││\n",
- "│[Errno 2] No such file or directory: │\n",
- "│'/var/folders/9z/dgt2y49d2qx_hkgt7qj8mc240000gn/T/ipykernel_45843/93925917.py'│\n",
- "││\n",
- "│/Users/max.halford/projects/river/river/datasets/base.py:286 in download│\n",
- "││\n",
- "│283 │ │ │ │\n",
- "│284 │ │ │ # Now dump the contents of the requests│\n",
- "│285 │ │ │ withopen(archive_path, \"wb\") as f: │\n",
- "│❱ 286 │ │ │ │ shutil.copyfileobj(r, f) │\n",
- "│287 │ │ │\n",
- "│288 │ │ ifnotself.unpack: │\n",
- "│289 │ │ │ return│\n",
- "││\n",
- "│/Users/max.halford/anaconda3/envs/river/lib/python3.9/shutil.py:205 in copyfileobj│\n",
- "││\n",
- "│ 202 │ fsrc_read = fsrc.read │\n",
- "│ 203 │ fdst_write = fdst.write │\n",
- "│ 204 │ whileTrue: │\n",
- "│❱ 205 │ │ buf = fsrc_read(length) │\n",
- "│ 206 │ │ ifnot buf: │\n",
- "│ 207 │ │ │ break│\n",
- "│ 208 │ │ fdst_write(buf) │\n",
- "││\n",
- "│/Users/max.halford/anaconda3/envs/river/lib/python3.9/http/client.py:463 in read│\n",
- "││\n",
- "│ 460 │ │ if amt isnotNone: │\n",
- "│ 461 │ │ │ # Amount is given, implement using readinto│\n",
- "│ 462 │ │ │ b = bytearray(amt) │\n",
- "│❱ 463 │ │ │ n = self.readinto(b) │\n",
- "│ 464 │ │ │ returnmemoryview(b)[:n].tobytes() │\n",
- "│ 465 │ │ else: │\n",
- "│ 466 │ │ │ # Amount is not given (unbounded read) so we must check self.length│\n",
- "││\n",
- "│/Users/max.halford/anaconda3/envs/river/lib/python3.9/http/client.py:507 in readinto│\n",
- "││\n",
- "│ 504 │ │ # we do not use _safe_read() here because this may be a .will_close│\n",
- "│ 505 │ │ # connection, and the user is reading more bytes than will be provided│\n",
- "│ 506 │ │ # (for example, reading in 1k chunks)│\n",
- "│❱ 507 │ │ n = self.fp.readinto(b) │\n",
- "│ 508 │ │ ifnot n and b: │\n",
- "│ 509 │ │ │ # Ideally, we would raise IncompleteRead if the content-length│\n",
- "│ 510 │ │ │ # wasn't satisfied, but it might break compatibility.│\n",
- "││\n",
- "│/Users/max.halford/anaconda3/envs/river/lib/python3.9/socket.py:704 in readinto│\n",
- "││\n",
- "│701 │ │ │ raiseOSError(\"cannot read from timed out object\") │\n",
- "│702 │ │ whileTrue: │\n",
- "│703 │ │ │ try: │\n",
- "│❱ 704 │ │ │ │ returnself._sock.recv_into(b) │\n",
- "│705 │ │ │ except timeout: │\n",
- "│706 │ │ │ │ self._timeout_occurred = True│\n",
- "│707 │ │ │ │ raise│\n",
- "││\n",
- "│/Users/max.halford/anaconda3/envs/river/lib/python3.9/ssl.py:1241 in recv_into│\n",
- "││\n",
- "│1238 │ │ │ │ raiseValueError( │\n",
- "│1239 │ │ │ │ \"non-zero flags not allowed in calls to recv_into() on %s\" % │\n",
- "│1240 │ │ │ │ self.__class__) │\n",
- "│❱ 1241 │ │ │ returnself.read(nbytes, buffer) │\n",
- "│1242 │ │ else: │\n",
- "│1243 │ │ │ returnsuper().recv_into(buffer, nbytes, flags) │\n",
- "│1244 │\n",
- "││\n",
- "│/Users/max.halford/anaconda3/envs/river/lib/python3.9/ssl.py:1099 in read│\n",
- "││\n",
- "│1096 │ │ │ raiseValueError(\"Read on closed or unwrapped SSL socket.\") │\n",
- "│1097 │ │ try: │\n",
- "│1098 │ │ │ if buffer isnotNone: │\n",
- "│❱ 1099 │ │ │ │ returnself._sslobj.read(len, buffer) │\n",
- "│1100 │ │ │ else: │\n",
- "│1101 │ │ │ │ returnself._sslobj.read(len) │\n",
- "│1102 │ │ except SSLError as x: │\n",
- "╰───────────────────────────────────────────────────────────────────────────────────────────╯\n",
- "KeyboardInterrupt\n",
+ "
\n",
+ "Higgs dataset.\n",
+ "\n",
+ "The data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22)\n",
+ "are kinematic properties measured by the particle detectors in the accelerator. The last seven\n",
+ "features are functions of the first 21 features; these are high-level features derived by\n",
+ "physicists to help discriminate between the two classes.\n",
+ "\n",
+ " Name Higgs \n",
+ " Task Binary classification \n",
+ " Samples 11,000,000 \n",
+ " Features 28 \n",
+ " Sparse False \n",
+ " Path /Users/max.halford/river_data/Higgs/HIGGS.csv.gz \n",
+ " URL https://archive.ics.uci.edu/ml/machine-learning-databases/00280/HIGGS.csv.gz\n",
+ " Size 2.62 GB \n",
+ "Downloaded True \n",
"
\n"
],
"text/plain": [
- "\u001b[31m╭─\u001b[0m\u001b[31m─────────────────────────── \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m ───────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/var/folders/9z/dgt2y49d2qx_hkgt7qj8mc240000gn/T/ipykernel_45843/\u001b[0m\u001b[1;33m93925917.py\u001b[0m:\u001b[94m5\u001b[0m in \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[92m\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[3;31m[Errno 2] No such file or directory: \u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[3;31m'/var/folders/9z/dgt2y49d2qx_hkgt7qj8mc240000gn/T/ipykernel_45843/93925917.py'\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/projects/river/river/datasets/\u001b[0m\u001b[1;33mbase.py\u001b[0m:\u001b[94m286\u001b[0m in \u001b[92mdownload\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m283 \u001b[0m\u001b[2m│ │ │ \u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m284 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[2m# Now dump the contents of the requests\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m285 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mwith\u001b[0m \u001b[96mopen\u001b[0m(archive_path, \u001b[33m\"\u001b[0m\u001b[33mwb\u001b[0m\u001b[33m\"\u001b[0m) \u001b[94mas\u001b[0m f: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m286 \u001b[2m│ │ │ │ \u001b[0mshutil.copyfileobj(r, f) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m287 \u001b[0m\u001b[2m│ │ \u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m288 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mif\u001b[0m \u001b[95mnot\u001b[0m \u001b[96mself\u001b[0m.unpack: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m289 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/anaconda3/envs/river/lib/python3.9/\u001b[0m\u001b[1;33mshutil.py\u001b[0m:\u001b[94m205\u001b[0m in \u001b[92mcopyfileobj\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 202 \u001b[0m\u001b[2m│ \u001b[0mfsrc_read = fsrc.read \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 203 \u001b[0m\u001b[2m│ \u001b[0mfdst_write = fdst.write \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 204 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mwhile\u001b[0m \u001b[94mTrue\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 205 \u001b[2m│ │ \u001b[0mbuf = fsrc_read(length) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 206 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mif\u001b[0m \u001b[95mnot\u001b[0m buf: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 207 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mbreak\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 208 \u001b[0m\u001b[2m│ │ \u001b[0mfdst_write(buf) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/anaconda3/envs/river/lib/python3.9/http/\u001b[0m\u001b[1;33mclient.py\u001b[0m:\u001b[94m463\u001b[0m in \u001b[92mread\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 460 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mif\u001b[0m amt \u001b[95mis\u001b[0m \u001b[95mnot\u001b[0m \u001b[94mNone\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 461 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[2m# Amount is given, implement using readinto\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 462 \u001b[0m\u001b[2m│ │ │ \u001b[0mb = \u001b[96mbytearray\u001b[0m(amt) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 463 \u001b[2m│ │ │ \u001b[0mn = \u001b[96mself\u001b[0m.readinto(b) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 464 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mmemoryview\u001b[0m(b)[:n].tobytes() \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 465 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94melse\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 466 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[2m# Amount is not given (unbounded read) so we must check self.length\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/anaconda3/envs/river/lib/python3.9/http/\u001b[0m\u001b[1;33mclient.py\u001b[0m:\u001b[94m507\u001b[0m in \u001b[92mreadinto\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 504 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[2m# we do not use _safe_read() here because this may be a .will_close\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 505 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[2m# connection, and the user is reading more bytes than will be provided\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 506 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[2m# (for example, reading in 1k chunks)\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 507 \u001b[2m│ │ \u001b[0mn = \u001b[96mself\u001b[0m.fp.readinto(b) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 508 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mif\u001b[0m \u001b[95mnot\u001b[0m n \u001b[95mand\u001b[0m b: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 509 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[2m# Ideally, we would raise IncompleteRead if the content-length\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m 510 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[2m# wasn't satisfied, but it might break compatibility.\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/anaconda3/envs/river/lib/python3.9/\u001b[0m\u001b[1;33msocket.py\u001b[0m:\u001b[94m704\u001b[0m in \u001b[92mreadinto\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m701 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mOSError\u001b[0m(\u001b[33m\"\u001b[0m\u001b[33mcannot read from timed out object\u001b[0m\u001b[33m\"\u001b[0m) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m702 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mwhile\u001b[0m \u001b[94mTrue\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m703 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m704 \u001b[2m│ │ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mself\u001b[0m._sock.recv_into(b) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m705 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mexcept\u001b[0m timeout: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m706 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[96mself\u001b[0m._timeout_occurred = \u001b[94mTrue\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m707 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/anaconda3/envs/river/lib/python3.9/\u001b[0m\u001b[1;33mssl.py\u001b[0m:\u001b[94m1241\u001b[0m in \u001b[92mrecv_into\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1238 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mValueError\u001b[0m( \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1239 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[33m\"\u001b[0m\u001b[33mnon-zero flags not allowed in calls to recv_into() on \u001b[0m\u001b[33m%s\u001b[0m\u001b[33m\"\u001b[0m % \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1240 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[96mself\u001b[0m.\u001b[91m__class__\u001b[0m) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1241 \u001b[2m│ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mself\u001b[0m.read(nbytes, buffer) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1242 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94melse\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1243 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96msuper\u001b[0m().recv_into(buffer, nbytes, flags) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1244 \u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2;33m/Users/max.halford/anaconda3/envs/river/lib/python3.9/\u001b[0m\u001b[1;33mssl.py\u001b[0m:\u001b[94m1099\u001b[0m in \u001b[92mread\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1096 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mValueError\u001b[0m(\u001b[33m\"\u001b[0m\u001b[33mRead on closed or unwrapped SSL socket.\u001b[0m\u001b[33m\"\u001b[0m) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1097 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1098 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mif\u001b[0m buffer \u001b[95mis\u001b[0m \u001b[95mnot\u001b[0m \u001b[94mNone\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1099 \u001b[2m│ │ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mself\u001b[0m._sslobj.read(\u001b[96mlen\u001b[0m, buffer) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1100 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94melse\u001b[0m: \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1101 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mself\u001b[0m._sslobj.read(\u001b[96mlen\u001b[0m) \u001b[31m│\u001b[0m\n",
- "\u001b[31m│\u001b[0m \u001b[2m1102 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mexcept\u001b[0m SSLError \u001b[94mas\u001b[0m x: \u001b[31m│\u001b[0m\n",
- "\u001b[31m╰───────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
- "\u001b[1;91mKeyboardInterrupt\u001b[0m\n"
+ "\n",
+ "Higgs dataset.\n",
+ "\n",
+ "The data has been produced using Monte Carlo simulations. The first \u001b[1;36m21\u001b[0m features \u001b[1m(\u001b[0mcolumns \u001b[1;36m2\u001b[0m-\u001b[1;36m22\u001b[0m\u001b[1m)\u001b[0m\n",
+ "are kinematic properties measured by the particle detectors in the accelerator. The last seven\n",
+ "features are functions of the first \u001b[1;36m21\u001b[0m features; these are high-level features derived by\n",
+ "physicists to help discriminate between the two classes.\n",
+ "\n",
+ " Name Higgs \n",
+ " Task Binary classification \n",
+ " Samples \u001b[1;36m11\u001b[0m,\u001b[1;36m000\u001b[0m,\u001b[1;36m000\u001b[0m \n",
+ " Features \u001b[1;36m28\u001b[0m \n",
+ " Sparse \u001b[3;91mFalse\u001b[0m \n",
+ " Path \u001b[35m/Users/max.halford/river_data/Higgs/\u001b[0m\u001b[95mHIGGS.csv.gz\u001b[0m \n",
+ " URL \u001b[4;94mhttps://archive.ics.uci.edu/ml/machine-learning-databases/00280/HIGGS.csv.gz\u001b[0m\n",
+ " Size \u001b[1;36m2.62\u001b[0m GB \n",
+ "Downloaded \u001b[3;92mTrue\u001b[0m \n"
]
},
"metadata": {},
@@ -247,6 +137,12 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:24:34.941699Z",
+ "iopub.status.busy": "2022-10-26T11:24:34.941102Z",
+ "iopub.status.idle": "2022-10-26T11:24:40.222841Z",
+ "shell.execute_reply": "2022-10-26T11:24:40.221937Z"
+ },
"tags": []
},
"outputs": [],
@@ -289,8 +185,14 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:24:40.232378Z",
+ "iopub.status.busy": "2022-10-26T11:24:40.231237Z",
+ "iopub.status.idle": "2022-10-26T11:24:41.221217Z",
+ "shell.execute_reply": "2022-10-26T11:24:41.222030Z"
+ },
"tags": []
},
"outputs": [
diff --git a/docs/recipes/model-evaluation.ipynb b/docs/recipes/model-evaluation.ipynb
index 24c529df06..57222cd363 100644
--- a/docs/recipes/model-evaluation.ipynb
+++ b/docs/recipes/model-evaluation.ipynb
@@ -26,7 +26,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.5"
+ "version": "3.9.12"
}
},
"nbformat": 4,
diff --git a/docs/recipes/on-hoeffding-trees.ipynb b/docs/recipes/on-hoeffding-trees.ipynb
index d7cdd62be7..d72e687abe 100644
--- a/docs/recipes/on-hoeffding-trees.ipynb
+++ b/docs/recipes/on-hoeffding-trees.ipynb
@@ -1,845 +1,1115 @@
{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Incremental decision trees in river: the Hoeffding Tree case\n",
- "\n",
- "\n",
- "Decision trees (DT) are popular learning models due to their inherently simplicity, flexibility and self-explainable structure. Moreover, when aggregated in ensembles, high predictive power might be achieved. Bagging and gradient boosting-based tree ensembles are very popular solutions in competition platforms such as Kaggle, and also among researchers.\n",
- "\n",
- "Although fairly lightweight, traditional batch DTs cannot cope with data stream mining/online learning requirements, as they do multiple passes over the data and have to be retrained from scratch every time a new observation appears.\n",
- "\n",
- "The data stream literature has plenty of incremental DT (iDT) families that are better suited to online learning. Nonetheless, Hoeffding Trees (HT) are historically the most popular family of iDTs to date. In fact, HTs have some nice properties:\n",
- "\n",
- "- one-pass learning regime;\n",
- "- theoretical guarantees to converge to the batch DT model given enough observations and a stationary data distribution;\n",
- "- small memory and running time footprint (in most cases);\n",
- "- some of their variations can deal with non-stationary distributions.\n",
- "\n",
- "And the previous list goes on and on. Besides that, HTs also have the same advantages as batch DTs (`C4.5`/`J48`, `CART`, `M5`, etc.) do. We can inspect the structure of a HT to understand how decisions were made, which is a nice feature to have in online learning tasks.\n",
- "\n",
- "In `river`, HTs are first-class citizens, so we have multiple realizations of this framework that are suited to different learning tasks and scenarios.\n",
- "\n",
- "This brief introduction to HT does not aims at being extensive nor delving into algorithmic or implementation details of the HTs. Instead, we intend to provide a high-level overview of the HTs as they are envisioned in `river`, as well as their shared properties and important hyperparameters.\n",
- "\n",
- "In this guide, we are going to:\n",
- "\n",
- "1. summarize the differences accross the multiple HT versions available;\n",
- "2. learn how to inspect tree models;\n",
- "3. learn how to manage the memory usage of HTs;\n",
- "4. compare numerical tree splitters and understand their impact on the iDT induction process.\n",
- "\n",
- "Well, without further ado, let's go! \n",
- "\n",
- "\n",
- "**First things first, we are going to start with some imports.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "import matplotlib.pyplot as plt\n",
- "import datetime as dt\n",
- "\n",
- "from river import datasets\n",
- "from river import evaluate\n",
- "from river import metrics\n",
- "from river import preprocessing # we are going to use that later\n",
- "from river.datasets import synth # we are going to use some synthetic datasets too\n",
- "from river import tree"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 1. Trees, trees everywhere: gardening 101 with river\n",
- "\n",
- "At first glance, the amount of iDT algorithms in `river` might seem too much to handle, but in reality the distinction among them is easy to grasp. To facilitate our lives, here's a neat table listing the available HT models and summarizing their differences:\n",
- "\n",
- "\n",
- "| Name | Acronym | Task | Non-stationary? | Comments | Source |\n",
- "| :- | :-: | :- | :-: | :- | :-: |\n",
- "| Hoeffding Tree Classifier | HTC | Classification | No | Basic HT for classification tasks | [[1]](https://dl.acm.org/doi/pdf/10.1145/347090.347107)\n",
- "| Hoeffding Adaptive Tree Classifier | HATC | Classification | Yes | Modifies HTC by adding an instance of ADWIN to each node to detect and react to drift detection | [[2]](https://link.springer.com/chapter/10.1007/978-3-642-03915-7_22)\n",
- "| Extremely Fast Decision Tree Classifier | EFDT | Classification | No | Deploys split decisions as soon as possible and periodically revisit decisions and redo them if necessary. Not as fast in practice as the name implies, but it tends to converge faster than HTC to the model generated by a batch DT | [[3]](https://dl.acm.org/doi/abs/10.1145/3219819.3220005)\n",
- "| Hoeffding Tree Regressor | HTR | Regression | No | Basic HT for regression tasks. It is an adaptation of the [FIRT/FIMT](https://link.springer.com/article/10.1007/s10618-010-0201-y) algorithm that bears some semblance to HTC | [[4]](https://link.springer.com/article/10.1007/s10618-010-0201-y)\n",
- "| Hoeffding Adaptive Tree Regressor | HATR | Regression | Yes | Modifies HTR by adding an instance of ADWIN to each node to detect and react to drift detection | -\n",
- "| incremental Structured-Output Prediction Tree Regressor| iSOUPT | Multi-target regression | No | Multi-target version of HTR | [[5]](https://link.springer.com/article/10.1007/s10844-017-0462-7)\n",
- "| Label Combination Hoeffding Tree Classifier | LCHTC | Multi-label classification | No | Creates a numerical code for each combination of the binary labels and uses HTC to learn from this encoded representation. At prediction time, decodes the modified representation to obtain the original label set | -\n",
- "\n",
- "\n",
- "As we can see, although their application fields might overlap sometimes, the HT variations have specific situations in which they are better suited to work. Moreover, in `river` we provide a standardized API access to all the HT variants since they share many properties in common."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 2. How to inspect tree models?\n",
- "\n",
- "We provide a handful of tools to inspect trained HTs in `river`. Here, we will provide some examples of how to access their inner structures, get useful information, and plot the iDT structure.\n",
- "\n",
- "Firstly, let's pick a toy dataset from which our tree will learn from. Here we are going to focus on the classification case, but the same operations apply to other learning tasks. We will select the `Phishing` dataset from the `datasets` module to exemplify the HTs' capabilities."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Phishing websites.\n",
- "\n",
- "This dataset contains features from web pages that are classified as phishing or not.\n",
- "\n",
- " Name Phishing \n",
- " Task Binary classification \n",
- " Samples 1,250 \n",
- "Features 9 \n",
- " Sparse False \n",
- " Path /Users/mastelini/Documents/river/river/datasets/phishing.csv.gz"
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dataset = datasets.Phishing()\n",
- "dataset"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "We are going to train an instance of `HoeffdingTreeClassifier` using this dataset. As everything else in `river`, training an iDT is a piece of cake!"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CPU times: user 88.5 ms, sys: 1.56 ms, total: 90.1 ms\n",
- "Wall time: 89.4 ms\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "HoeffdingTreeClassifier (\n",
- " grace_period=50\n",
- " max_depth=inf\n",
- " split_criterion=\"info_gain\"\n",
- " delta=1e-07\n",
- " tau=0.05\n",
- " leaf_prediction=\"nba\"\n",
- " nb_threshold=0\n",
- " nominal_attributes=None\n",
- " splitter=GaussianSplitter (\n",
- " n_splits=10\n",
- " )\n",
- " binary_split=False\n",
- " max_size=100.\n",
- " memory_estimate_period=1000000\n",
- " stop_mem_management=False\n",
- " remove_poor_attrs=False\n",
- " merit_preprune=True\n",
- ")"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%%time\n",
- "\n",
- "model = tree.HoeffdingTreeClassifier(grace_period=50)\n",
- "\n",
- "for x, y in dataset:\n",
- " model.learn_one(x, y)\n",
- " \n",
- "model"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "That's it! We are not going to enter into details about some of the available parameters of HTC here. The user can refer to the documentation page for more information about that. Let's talk about model inspection :D\n",
- "\n",
- "At any time, we can easily get some statistics about our trained model by using the `summary` property:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "scrolled": true,
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'n_nodes': 5,\n",
- " 'n_branches': 2,\n",
- " 'n_leaves': 3,\n",
- " 'n_active_leaves': 3,\n",
- " 'n_inactive_leaves': 0,\n",
- " 'height': 3,\n",
- " 'total_observed_weight': 1250.0}"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "model.summary"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "This property show us the internal structure of the tree, including data concerning the memory-management routines that we are going to check later in this guide. We can also get a representation of the tree model as a `pandas.DataFrame` object:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "scrolled": true,
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " parent is_leaf depth \\\n",
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- "\n",
- " feature \n",
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- },
- "execution_count": 5,
- "metadata": {},
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- ],
- "source": [
- "model.to_dataframe().iloc[:5, :5]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Hmm, maybe not the clearest of the representations. What about drawing the tree structure instead?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "scrolled": true,
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "image/svg+xml": "\n\n\n\n\n",
- "text/plain": [
- ""
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "model.draw()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Much better, huh?\n",
- "\n",
- "Lastly, we can check how the tree predicts one specific instance by using the `debug_one` method:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "({'empty_server_form_handler': 0.0,\n",
- " 'popup_window': 0.0,\n",
- " 'https': 0.0,\n",
- " 'request_from_other_domain': 0.0,\n",
- " 'anchor_from_other_domain': 0.0,\n",
- " 'is_popular': 0.5,\n",
- " 'long_url': 1.0,\n",
- " 'age_of_domain': 1,\n",
- " 'ip_in_url': 1},\n",
- " True)"
- ]
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "x, y = next(iter(dataset)) # Let's select the first example in the stream\n",
- "x, y"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "empty_server_form_handler ≤ 0.5454545454545454\n",
- "Class True:\n",
- "\tP(False) = 0.1\n",
- "\tP(True) = 0.9\n",
- "\n"
- ]
- }
- ],
- "source": [
- "print(model.debug_one(x))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Our tree got this one right! The method `debug_one` is especially useful when we are dealing with a big tree model where drawing might not be the wisest of the choices (we will end up with a tree chart that has too much information to visually understand).\n",
- "\n",
- " **Some additional hints:**\n",
- "\n",
- "- the `max_depth` parameter is our friend when building HTs that need to be constantly inspected. This parameter, which is available for every HT variant, triggers a pre-pruning mechanism that stops tree growth when the given depth is reached.\n",
- "- we can also limit the depth when using the `draw` method.\n",
- "- in the case of tree ensembles, individual trees can be accessed using the `[index]` operator. Then, the same set of inspection tools are available to play with!"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 3. Advanced gardening with river: grab your pruning shears and let's limit memory usage\n",
- "\n",
- "Online learning is well-suited to highly scalable processing centers with petabytes of data arriving intermittently, but it can also work with Internet of Things (IoT) devices operating at low power and with limited processing capability. Hence, making sure our trees are not going to use too much memory is a nice feature that can impact on both energy usage and the running time. HTs have memory-management routines that put the user in the control of computational resources that are available.\n",
- "\n",
- "In this brief guide, we are going to use a regression tree, since this kind of iDT typically spends more memory than the classification counterparts. However, the user can control the memory usage in the exact same way in `river`, regardless of the HT variant!\n",
- "\n",
- "We will rely on the `Friedman` synthetic dataset (data generator) from the `synth` module in our evaluation. Since data generators can produce instances indefinitely, we will select a sample of size 10K for our tests.\n",
- "\n",
- "We are almost ready to go. Let's first define a simple function that plots the results obtained from a given dataset, metric and "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "def plot_performance(dataset, metric, models):\n",
- " metric_name = metric.__class__.__name__\n",
- "\n",
- " # To make the generated data reusable\n",
- " dataset = list(dataset)\n",
- " fig, ax = plt.subplots(figsize=(10, 5), nrows=3, dpi=300)\n",
- " for model_name, model in models.items():\n",
- " step = []\n",
- " error = []\n",
- " r_time = []\n",
- " memory = []\n",
- "\n",
- " for checkpoint in evaluate.iter_progressive_val_score(\n",
- " dataset, model, metric, measure_time=True, measure_memory=True, step=100\n",
- " ):\n",
- " step.append(checkpoint[\"Step\"])\n",
- " error.append(checkpoint[metric_name].get())\n",
- "\n",
- " # Convert timedelta object into seconds\n",
- " r_time.append(checkpoint[\"Time\"].total_seconds())\n",
- " # Make sure the memory measurements are in MB\n",
- " raw_memory = checkpoint[\"Memory\"]\n",
- " memory.append(raw_memory * 2**-20)\n",
- "\n",
- " ax[0].plot(step, error, label=model_name)\n",
- " ax[1].plot(step, r_time, label=model_name)\n",
- " ax[2].plot(step, memory, label=model_name)\n",
- " \n",
- " ax[0].set_ylabel(metric_name)\n",
- " ax[1].set_ylabel('Time (seconds)')\n",
- " ax[2].set_ylabel('Memory (MB)')\n",
- " ax[2].set_xlabel('Instances')\n",
- " \n",
- " ax[0].grid(True)\n",
- " ax[1].grid(True)\n",
- " ax[2].grid(True)\n",
- "\n",
- " ax[0].legend(\n",
- " loc='upper center', bbox_to_anchor=(0.5, 1.25),\n",
- " ncol=3, fancybox=True, shadow=True\n",
- " )\n",
- " plt.tight_layout()\n",
- " plt.close()\n",
- "\n",
- " return fig"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "scrolled": true,
- "tags": []
- },
- "outputs": [
- {
- "data": {
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- "text/plain": [
- "
"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "plot_performance(\n",
- " synth.Friedman(seed=42).take(10_000),\n",
- " metrics.MAE(),\n",
- " {\n",
- " \"Unbounded HTR\": (\n",
- " preprocessing.StandardScaler() |\n",
- " tree.HoeffdingTreeRegressor(splitter=tree.splitter.EBSTSplitter())\n",
- " )\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "In our example we use the `EBSTSplitter`, which is going to discussed later. For now, is enough to know that it is a mechanism to evaluate split candidates in the trees.\n",
- "\n",
- "As we can see, our tree uses almost 10 MB to keep its structure. Let's say we wanted to limit our memory usage to 5 MB. How could we do that?\n",
- "\n",
- "Note that we are using a illustration case here. In real applications, data may be unbounded, so the trees might grow indefinitely.\n",
- "\n",
- "HTs expose some parameters related to memory management. The user can refer to the documentation for more details on that matter. Here, we are going to focus on two parameters:\n",
- "\n",
- "- `max_size`: determines the maximum amount of memory (in MB) that the HT can use.\n",
- "- `memory_estimate_period`: intervals after which the memory-management is triggered.\n",
- "\n",
- "We are going to limit our HTR to 5 MB and perform memory checks at intervals of 500 instances."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "image/png": 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- "text/plain": [
- "
"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "plot_performance(\n",
- " synth.Friedman(seed=42).take(10_000),\n",
- " metrics.MAE(),\n",
- " {\n",
- " \"Restricted HTR\": (\n",
- " preprocessing.StandardScaler()\n",
- " | tree.HoeffdingTreeRegressor(\n",
- " splitter=tree.splitter.EBSTSplitter(),\n",
- " max_size=5,\n",
- " memory_estimate_period=500\n",
- " )\n",
- " )\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Note that as soon the memory usage reaches the limit that we determined (at the memory check intervals), HTR starts managing its resource usage to reduce the size. As a consequence, the running time also decreases. For more accurate management, the intervals between memory checks should be decreased. This action, however, has costs since the tree stops the learning process to estimate its size and alter its own structure. Too frequent memory checks might end up result in a slow learning process. Besides, by using fewer resources, the predictive performance can be negatively impacted. So, use this tool with caution!\n",
- "\n",
- "**But how that works at all?**\n",
- "\n",
- "HTs monitor the incoming feature values to perform split attempts. To do so, they rely on a class of algorithms called *Attribute Observers* (AO) or *Splitters* (spoiler alert!). Each leaf node in an HT keeps one AO per incoming feature. After pre-determined intervals (`grace_period` parameter), leaves query their AOs for split candidates. Well, there are costs to monitor input features (mainly the numerical ones). In fact, AOs correspond to one of the most time and memory-consuming portions of the HTs. To manage memory usage, an HT firstly determines its least promising leaves, w.r.t. how likely they will be split. Then, these leaves' AOs are removed, and the tree nodes are said to be \"deactivated.\" That's it! The deactivated leaves do not perform split attempts anymore, but they continue to be updated to provide responses. They will be kept as leaves as long as there are not available resources to enable tree growth. These leaves can be activated again (meaning that new AOs will be created for them) if there is available memory, so don't worry!\n",
- "\n",
- "**Hint:** another indirect way to bound memory usage is to limit the tree depth. By default, the trees can grow indefinitely, but the `max_depth` parameter can control this behavior."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "image/png": 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- "execution_count": 12,
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- "source": [
- "plot_performance(\n",
- " synth.Friedman(seed=42).take(10_000),\n",
- " metrics.MAE(),\n",
- " {\n",
- " \"HTR with at most 5 levels\": (\n",
- " preprocessing.StandardScaler()\n",
- " | tree.HoeffdingTreeRegressor(\n",
- " splitter=tree.splitter.EBSTSplitter(),\n",
- " max_depth=5\n",
- " )\n",
- " )\n",
- " }\n",
- ")"
- ]
- },
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- "## 4. Branching and growth: splitters, the heart of the trees\n",
- "\n",
- "As previously stated, one of the core operations of iDT is, well, to grow. Plants and gardening-related jokes apart, growth in HTs is guided by their AOs or splitters, as mentioned in the end of Section 3. \n",
- "\n",
- "Nominal features can be easily monitored, since the feature partitions are well-defined beforehand. Numerical features, on the other hand, do not have an explicit best cut point. Still, numerical features are typically split by using a binary test: $\\le$ or $>$. Therefore, numerical splitters must somehow summarize the incoming feature values and be able to evaluate the merit of split point candidates.\n",
- "\n",
- "There are diverse strategies to monitor numerical features and choices related to them, including which data structure will be used to keep a summary of the incoming feature and also how many split points are going to be evaluated during split attempts. Again, this guide does not intend to be an exhaustive delve into the iDT subject. In fact, each of the following aspects of the iDTs could be considered a separate research area: AOs, intervals between split attempts, split heuristics (e.g., info gain, variance reduction, and so on), tree depth and max size, and much more!\n",
- "\n",
- "Let's focus a bit into the AO matter. River provides a handful of splitters for classification and regression trees, which can be chosen using the parameter `splitter`. We will list the available tree splitters in the following sections and compare some of their chacteristics.\n",
- "\n",
- "Some notation:\n",
- "\n",
- "- $n$: Number of observations seen so far.\n",
- "- $c$: the number of classes.\n",
- "- $s$: the number of split points to evaluate (which means that this is a user-given parameter).\n",
- "- $h$: the number of histogram bins or hash slots. Tipically, $h \\ll n$.\n",
- "\n",
- "### 4.1. Classification tree splitters\n",
- "\n",
- "The following table summarizes the available classification splitters. The user might refer to the documentation of each splitter for more details about their functioning.\n",
- "\n",
- "\n",
- "| Splitter | Description | Insertion | Memory | Split candidate query | Works with Naive Bayes leaves?\n",
- "| :- | :- | :- | :-: | :-: | :-: |\n",
- "| Exhaustive | Keeps all the observed input values and class counts in a Binary Search Tree (BST) | $O(\\log n)$ (average) or $O(n)$ (worst case) | $O(n)$ | $O(n)$ | No |\n",
- "| Histogram | Builds a histogram for each class in order to discretize the input feature | $O(\\log h)$ | $O(c h)$ | $O(c h)$ | Yes |\n",
- "| Gaussian | Approximates the class distributions using Gaussian distributions | $O(1)$ | $O(c)$ | $O(cs)$ | Yes |\n",
- "\n",
- "Note that some of the splitters have configurable parameters that directly impact not only on their time and memory costs, but also on the final predictive performance. Examples:\n",
- "\n",
- "- The number of split points can be configured in the Gaussian splitter. Increasing this number makes this splitter slower, but it also potentially increases the quality of the obtained query points, implying enhanced tree accuracy. \n",
- "- The number of stored bins can be selected in the Histogram splitter. Increasing this number increases the memory footprint and running time of this splitter, but it also potentially makes its split candidates more accurate and positively impacts on the tree's final predictive performance.\n",
- "\n",
- "Next, we provide a brief comparison of the classification splitters using 10K instances of the Random RBF synthetic dataset. Note that the tree equiped with the Exhaustive splitter does not use Naive Bayes leaves."
- ]
- },
- {
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- "execution_count": 13,
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- {
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- "text/plain": [
- "
"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "plot_performance(\n",
- " synth.RandomRBF(seed_model=7, seed_sample=42).take(10_000),\n",
- " metrics.Accuracy(),\n",
- " {\n",
- " \"HTC + Exhaustive splitter\": tree.HoeffdingTreeClassifier(\n",
- " splitter=tree.splitter.ExhaustiveSplitter(),\n",
- " leaf_prediction=\"mc\"\n",
- " ),\n",
- " \"HTC + Histogram splitter\": tree.HoeffdingTreeClassifier(\n",
- " splitter=tree.splitter.HistogramSplitter()\n",
- " ),\n",
- " \"HTC + Gaussian splitter\": tree.HoeffdingTreeClassifier(\n",
- " splitter=tree.splitter.GaussianSplitter()\n",
- " )\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### 4.2 Regression tree splitters\n",
- "\n",
- "The available regression tree splitters are summarized in the next table. The TE-BST costs are expressed in terms of $n^*$ because the number of stored elements can be smaller than or equal to $n$.\n",
- "\n",
- "| Splitter | Description | Insertion | Memory | Split candidate query |\n",
- "| :- | :- | :- | :-: | :-: |\n",
- "| Extended Binary Search Tree (E-BST) | Stores all the observations and target statistics in a BST | $O(\\log n)$ (average) or $O(n)$ (worst case) | $O(n)$ | $O(n)$ | \n",
- "| Truncated E-BST (TE-BST) | Rounds the incoming data before passing it to the BST | $O(\\log n^*)$ (average) or $O(n^*)$ (worst case) | $O(n^*)$ | $O(n^*)$ |\n",
- "| Quantization Observer (QO) | Uses a hash-like structure to quantize the incoming data | $O(1)$ | $O(h)$ | $O(h \\log h)$ |\n",
- "\n",
- "\n",
- "E-BST is an exhaustive algorithm, i.e., it works as batch solutions usually do, which might be prohibitive in real-world online scenarios. TE-BST and QO apply approximations to alleviate the costs involved in monitoring numerical data and performing split attempts. The number of desired decimal places to round the data (TE-BST) and the quantization radius (QO) are directly related to the running time, memory footprint, and error of the resulting tree model.\n",
- "\n",
- "We present a brief comparison of the available regression tree splitters using the 10K instances of the Friedman synthetic dataset."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
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hhDbAY8BRGe4yBzh5ZzqUZOucJEmqKiGEk4CnSthU7pvaIYRDgccp+wG2ZP8AvhNjzCvnOFm7H5Ctc5IkqbKFEE4E/gbsUo7dlsUYO2d4/ENx3nfelyRlXQghB7gJ+D8gpxy7LgPOjzG+UI6xhgNPUvYDa8leBL4eY1xbjry2N475HYlzysRG4LwY43/LM07RWFk5J0mSAEIIBwKXkygu75omvMKF5l6rA7XgnFS5LDSXVKqiC+gngFNSNhUAC4C1JC4OW6ds3wQcGWN8t8qTlCSphgohfAjsXcKm7a+FXAY0JPFaytS5FBJdzo4ozysqQwhnAI+w443vFcBCoBPQDQgp22+LMV5WjnGaAm+QeAo8WR4wD9gK9GXHJ51XAAfEGGeVY6ysnJMkSVUlhNAamExivkpVrpvaIYSDgJdIvNI62RpgLonXWPYAclO2P0HiZmxGNwKzeT8gW+ckSVJlCyFcBtzCjtejW4AlwEoS81sXin9Rm1GhufN+Mc77kqSsCiHcS6KRTKpNwGxgM9CexH3w1M8CecDoGOPzGYyzKzCOHYu6NpBo3tIU6E3iu4Rk7wKHxxi3pBsjaaw/Az9KWR2BRSTut/csIY8C4IwY45hyjJO1c5IkCSCEcCnwxwzDK1Ro7rV6MTX2nFT5yvPkpaT65//Y8Yf7X4GeMca+McY9Sbzm6jQSP/C3awY8VvRluiRJSlyE3QWcALSNMfaIMY6IMe5O4mb0YcDbKfvsS+J1UBkJIfQj0fU7+TP+ZyRuzHaKMe4dY+wBDCZxAZfs0hDCaeU4n1spXmReCFwPdI4x7hpj3I3EZ4QLgC+T4jqS+IyQehFaE85JkqSq8nv+V2S+cWcPEkJoS+LV1ck3e+cDo4F2Mca9Yox9SHxZe3fK7qeReNV3prJyPyDL5yRJUqUJIVxE4to4ubDseeA4oE2MsV+McWSMcbcYY0cSnwW+BfyXRPFZuuM77xfnvC9JypoQwunsWGQ+hcT9/dZF8/vIGGN/Em81uZbi83sj4O9Fc19Z4zRgx86hq4HzSMyNu8cYBwKdgRtJ3Iffbn8Sb/bM9JzOZMci8/8Cu8YYexbda+8IHAl8nhSTW3QuvTMcJ2vnJElShjJu6paO1+q145xUNexoLqlEIYT2JJ5Kapm0+hcxxt+WEt+NxJPJvZNW/zrGeG2VJSlJUg1W1NG8PXAD8HCMcXOa+FwSxegXp2w6PMb4egbjPQx8I2nVBySe7F1XQmwgcdGWPNZsYFCMcVuacQYBkyj+xPI3Y4z/LiV+KInPCG2SVl8YY3ygrHGK9s3KOUmSVFWKXjf5GokitELg5xT/0jTj7ikhhJuAXyStmgscFGNcUkr8lSS+tN1uLdAnxvhlSfFJ+2XtfkC2zkmSpMoUQugPTASaFK3KB84r7bq4hP3bZjAfO+8770uSqkkIYSIwLGnVh8ChMcZSHx4PIRwOvAg0SFp9ZYzxN2XsczHFC7a+JDE3Tikl/pvAv5JWbQOGxBhnljZG0X6NgOkUn7//CvygpA6kRUVcrwAjklb/I8Z4XlnjFO2blXOSJClZUkfz9cBHJL5TnlD0ex8g+bv2ne5o7rV67TgnVQ0LzSWVKITwO+D/Ja16i8QFdKk/NEIIR5C46NxuPYnJZFXVZClJUs0VQjgBeDnGmLZTWdI+ucB7FL+B+3CM8ew0+w0l0WVke+fvPGCPGOPUMvZpUrTPgKTVF8cY700z1qPAmUmrHooxnptmn4uAvyWtmg8MiDHml7FP1s5JkqSqEEJoSqIIrV/RqtuBsezETe0QQkcSr5dukbT6yBjjq2XsE4A3gEOSVt8UY7wqzVhZuR+QzXOSJKkyhRBeI/Fmsu3OjDE+XonHd97HeV+SVD1CCH1JNDBJtm+M8YMM9v0r8N2kVe/GGA8oJbYRMAvokbT6ohjj/WnGeAg4J2lVJt8ffJ9Ek5vtZgK7xRi3lLHPEOATEt3ZAQqAYTHGaWXsk7VzkiQpWdFbshsD02KMhSnbDqUSCs29Vv9qnxp9Tqo6OelDJNU3IYQc4IKU1deV9cMdoGiieTtpVUuKF6JJklRvxBifLU+RedE+Bez4ashjMtj1Qop/tn+krILsorG2AKlPCKe+DrSYoldnnZZ8GOC6DPJ7gERx+Xa9SLyCsyxZOSdJkqrQ9fyvyHwBcHUFjnUWxW/2vlXWzV6Aomv4X6WsvrDoRnCJsnw/ICvnJElSZQohnELxIvPHK7PIvIjzPs77kqRqs2vK8qJMisyL/DdluX8ZscdQvCB7Hon76OlcR+K+/HZnFHUgL0vqPfLflFVkDlDUgfzRpFW57Pi5IVU2z0mSpK/EGGfHGKekFplXMq/VqRXnpCpiobmkkhwAdExankPiaaRM3JeyPLoS8pEkqT55O2W5fQihWZp9Tk5ZTp2PS/MokPy6z31CCF3LiD+B4q/+fCPGOCfdIEUX9ak3lEen2S1b5yRJUqULIewDXJq06ocxxg0VOOQpKcuZzouvk3gd5Xadgf3KiM/m/YBsnZMkSZXp4pTl1C9XK4Pz/v8470uSsq1dyvLCcuy7IGW5TRmxqXPjA+mKrSBRSAe8mbSqIXB8afEhhO7AXkmrNgCPpRunSOp8nZpzqqyckyRJ1cRr9f+pyeekKmKhuaSSnJCy/HImF4HbY1OWDw0hNK+EnCRJqi++LGFdqd07Qgi7UrwzykbgnUwGijGmxgZ2/ByQLHXbS5mMUyT1M8KJpQVm+ZwkSapUIYSGJG5+5hatejzG+EwFjteC4q+hhAzn4KJr+VdSVpc6B5Ol+wFZPidJkipFCKEbxd869mmMcXIlj+G8n8R5X5JUDdamLDctx76psSvLiM3KvfYSxhlfdA89E+OBTUnLu4YQBpRjrKo6J0mSsspr9eJq6jmpalloLqkke6QsZ1TYBRBjXELiNVjbNQKGVDwlSZLqjW4lrFtVRvweKcsTYozbyjHe+DTHK2tbxp8RgI+ArUnLXUMIHUuJTR2nKs9JkqTK9gtgeNGf1wA/qeDxhpLo5rXd3Bjj0nLsn5W5vpz3A7J5TpIkVZZj+d+DZJDo4FXZnPd35LwvScqmT1OWB5ejmGnflOUJJQWFEHYh0flzu63AxxmOAdmb77ex4zmUOFaWz0mSpGzzWn1HNfGcVIUsNJdUksEpy1PKuX9qfOrxJElS6Q5OWZ4fY8wrIz4r83ZRd9b+KaszHivGuBWYnclYJaz3s4gkqVYIIQwBrkpadUU5b86WJJvzYrbGcq6XJNVG+6Qsf7b9DyGEPUMIfwohfBZC+DKEsCmEMC+E8HII4WdF3dAz4by/8+NIklRhMcZFFC9+akwGD5CHEBoDl6asvq+U8NS5bFaa7wBSpc6N/UMIDTIcK1vzfVWekyRJ2ea1+s6Pk+2xVEUsNJdUTAihKdAzZfXCch4mNX7Xnc9IkqR658KU5efSxKfOs1U1b/cFkm/sbo4xlvXqz4qMla1zkiSp0oQQckh8idyoaNXbwL2VcOjKnhd7hRCapAZl+X5AVs5JkqRKllpoPieE0CKEcB+Jjp0/BnYD2gBNgV7AkcDvgZkhhJuKHuIui/N++nGc9yVJVe0KoDBp+dchhPNKCw4htAH+Q/Gip6djjE+XskuF5sYY4wpgS9KqRkCfqhirhPgqme/LeU6SJGWb1+rpx6kJ56QqZKG5pFQdgJC0nA8sL+cxFqcsd6pQRpIk1RMhhOOBQ1JWP5hmt9R5dlE5h02dtztmOE7qfjszVmmfEbJ1TpIkVaafAPsV/TkPuDjGGCvhuBWdF5cB25KWc4D2JcRl835Ats5JkqTKlPqWr0LgLXZ8YLwkTYFfAM+FEFqWEee8vyPnfUlSVsUYxwE/ArZf0zcAHgwhTAgh/DyEcGoI4dgQwjkhhD+TeJPniUmHeBn4RhlDVHRuBFiS5pjbpd4br+i99qqa7yHzc5IkKdu8Vt9RTTwnVSFfNSMpVYuU5U078cX4xjTHlCRJKUII7YC7U1aPjTFOSLNr6jybOg+nkxrfMITQOMa4tZLHKWmf0j4jZOucJEmqFCGEPsANSat+E2OcVkmHr9C8GGOMIYTNQHJRW0lzcDbvB2TrnCRJqhRFby5JLRD/E7Bn0Z8j8AyJt5ItApoXbfsW0DVpnyNJPFD+tVKGct5P4bwvSaoOMca/hBCmk5jvhxat3ocd33CSbA5wM3BvjLGwjLis3Gsv6iCaW8GxsnVPvzxjSZKUbV6rp6ih56QqZEdzSalSfxhvKTGqbJvTHFOSJCUp+sL6n0D3pNVrSXRGTaeic3fqvF3SMStjnJLGyvTCtqrOSZKkynIPiYIygGnATZV47GzNwbVpri/PWJIkVYbWFO/ABbBX0e+rgFExxpNjjH+NMT4TY3w0xvhzEq9zfjhlv9NCCOeWMo7zfsXGkiSp0sQYXyNRWP4HoCBN+IKiuIfTFJlD9c33OzOW870kSV6rV2QsPyPUERaaS0rVJGU5byeOkdottOlO5iJJUn3xe+C4lHXfjTEuzGDfis7dJXX5LmnuzuZnhGydkyRJFRZCuIhEd1JIdDO9OMa4M/NkabI1B9emub48Y0mSVBlK+xKzADghxvh2SRtjjBtIdDV/KWXTlSGE1MJ1cN6v6FiSJFWaEML3gNnAz9ixM3iqnsBdwLwQwoVpYqtrvt+ZsZzvJUnyWr0iY/kZoY6w0FxSqtQnhxrtxDEapzmmJEkqEkL4CfDTlNU3xxgfzfAQFZ27U+ftko5ZGeOUNFZpnxGydU6SJFVICKELiY5l2/2ttEKzCsjWHFyb5vryjCVJUmUobZ75W4zx/bJ2LOpq+n0gubvprsCoDMZx3i/fWJIkVVgIoWEI4T/AX4AuRatXA78G9gXakpjPugInA2NIPHgO0A64L4Tw+zKGqK75fmfGcr6XJMlr9YqM5WeEOsJCc0mpNqQsl/SkczqpTw6lHlOSJAEhhG8Ct6WsfhD4eTkOU9G5u6Qnfkuau7P5GSFb5yRJUkXdCbQp+vNS4P9VwRjZmoNr01xfnrEkSaoMpc0z92ayc4xxDvBKyuqSCs2d9ys2liRJleEvwNeSlicAQ2OM18YYP4gxrokx5scYv4gxPh1jPA0YTfGip5+FEC4o5fjVNd/vzFjO95Ikea1ekbH8jFBHWGguKVXqD+NmpbzCsyzN0xxTkqR6L4RwIvB3IHmefQL4dowxlrxXiVLn2dR5OJ3U+G0xxpKeAq7oOCXtk+mFbVWdkyRJOy2EcAZwatKqS2KMa6pgqArNi0XX9Dtzw7cq7wdk65wkSaoUMcbNQEHK6vXAJ+U4zJspyyNKiHHeT+G8L0nKphDCocBFSauWAyfGGJeWtV+M8Snghymrfx9CyKQpSpXcay/l80tF77VX1T398owlSVK2ea2eooaek6qQheaSUq3kf6/2AmgIdCrnMbqlLC+vUEaSJNUxIYTDgMeBBkmrXwa+EWNMvfGbTuo8272c+6fO2ysyHCd1v50Zq7TPCNk6J0mSKiL5NdjPxhgfq6JxKjov7kLxzxyFJK79U2XzfkC2zkmSpMqUOn/NijEWlmP/6SnLJc2zzvs7ct6XJGXTT1KWb4sxZnp/+UFgRtJye+C0EuIqOjcCdE1zzO1Sc6/ovfaqmu8h83OSJCnbvFbfUU08J1UhC80lFVP0ZPOClNU9y3mY1PhpO5+RJEl1SwhhJPAUxV8L9Q5waowxbycOmfpFdVXN23OAbUnLTUMIHatorGydkyRJFdEm6c8nhBBiul/A6ynH6FVC3B4pMZU9L84v6U0fWb4fkJVzkiSpkk1NWV5Xzv1T49uWEOO8n34c531JUpUo6q55eMrqpzPdv+gBtGdTVh9SQmiF5sYQQieKf7+QR+L+fUmyda89m+ckSVK2ea2efpyacE6qQhaaSypJ6g/kIeXcf3Ca40mSVC+FEHYDngdaJK3+BDg+xrhxJw+blXk7xpgPzN7ZsUIIjYG+mYxVwno/i0iS6rNszovZGsu5XpJUG01JWW5czv2bpCxvKiHGeX/nx5EkqaLaAq1T1s0t5zFS40t6M2jqXNYvhNCoHGOkzo2zY4zbSoysvvm+Ks9JkqRs81p958fJ9liqIhaaSyrJpynLB2S6YwihC9A7aVU+O96AlySp3gkh7Aq8TPGOZVOBY2KMaytw6E9TlvcJITQoKbAUB6Y5XlnbMv6MAOxN8S/hv4gxlvZaq9RxqvKcJEmq6SaTuLbernfRtXemsjLXl/N+QDbPSZKkyvJxyvIu5dw/9dXQq0qIcd7fkfO+JClbSnqIrLzFzvkpy7mpATHGpcDSlHH3LscY2ZrvGwD7ZjJWls9JkqRs81p9RzXxnFSFLDSXVJJnUpaPLHpVWCaOTll+Pca4oRJykiSp1goh9AJeofiXynOBo2KMKypy7BjjNIp3Gm9OhhdnIYTmwP7Jh2PHzwHJUrcdlck4pcSW+srRLJ+TJEk76xQS81t5fv0s5RjLSoiZlRwQY1wPvJWyX0ZzcNG1/JEpq8t67XdW7gdk+ZwkSaoszwKFSct9QgjtyrF/arFV6muqnfdTOO9LkrKspIfAupbzGKkdzEu7//9synKV3GsvYZwDiu6hZ+JAoFnS8owY44xyjFVV5yRJUlZ5rV5cTT0nVS0LzSWV5B1gZdJyX+DQDPe9KGX5ycpISJKk2qroKdtXge5JqxcDR8QYF1fSME+lLKfOx6X5OtAiafnDGOOSMuKfo3gHl0NDCH3TDVJ0oXh+yup0nxGydU6SJO2UGOObMcZXyvML+CjlMFtKiCvpJunOzouHAX2SlpcB75cRn837Adk6J0mSKkXRW7nGp6w+LZN9izqCnpqy+o1Swp33/8d5X5KUNTHGPOCLlNWHl/MwR6Qszy4xase58YJMCq5CCP2AUUmr8kncty9RjHEh8EnSqhbAmenGKVLR+b5KzkmSpGritfr/1ORzUhWx0FzSDmKMhcCDKauvTXchGEI4Ajg4adV64LHKzU6SpNqjqLPZy0C/pNUrSHQyn1uJQ91PonP3dmeFEAanya0J8POU1feVtU+McTUwNvkwwHUZ5HchxV9pNZ9Eh/eyZOWcJEmqJR4BNiYtHxJCKPPL7qJr+GtTVj9QdM1foizfD8jKOUmSVMnuTln+vxBC4wz2+w7QOWl5HfBiKbHO+zjvS5Kqzaspy5cWPTCWVghhFMXftlnS8bZ7EViUtNwbuCCDYa4jcV9+u//GGNem2Sf1HvnPi+6ll6roXvzXk1aV9LkhVTbPSZKkbPNanVpxTqoiFppLKs3vgOQuaqOAK0oLDiF0A/6Wsvr2GOPKkuIlSarrQggtgReAoUmr1wBHxxinVuZYMcZJFL+oagT8PYTQqpTcAnAbMCBp9RwSxd3pXEvxV4V/K4TwjdKCQwhDgD+krL6+qDtMqbJ8TpIk1WhFHVTvSFn9txBCWa/w/gVwSNLyWuD3GQyXlfsBWT4nSZIqy7+BiUnLA4G7Qwilft8WQhgJ3Jyy+q7SCqic97/ivC9Jqg7/TFkeBtxV1lwPEELoDzycsnom8G5J8THGrcCNKav/UHQ/vbQxvgmck7SqgB0LvUpyL7AgaXkg8MfSiruK7sH/g8Q9+e0ejjFOKWuQLJ+TJElZ5bX6V2r0OanqWGguqURFP5hvSln9mxDCXckTSgghJ4QwmsRrLnonxS4BbqnqPCVJqsGeAvZJWXcr0CGEcGQ5f7XNYLyrgU1Jy/sAb4UQDk0OCiEMBP4DfDdl/5/HGPPTDVJ0Mzn1ou6fIYRfJ+cZQmgYQjgfGAe0SYr9HPh7unGKZOWcJEmqJW4GliYt9wHeCSGcnPzlcAihewjhr+z45e6NRW8nKVOW7wdk5ZwkSaosRV24LqP4G7jOA14MIeydHBtCaB1C+CmJN3q1SNo0gx3n2lTO+877kqRqEGN8EXg9ZfV3gDdDCEekdjcPIbQPIVwOfAikFmVdGWMsKGO4+4DJScttgbdDCOcmjxNCaBdCuB54KGX/u2OMMzI4pzx2fBPo94DHQgjJjVso6mL6NjAiafUG4JfpximSlXOSJClVCOHAkr5nB/ZOCW1SxnfypT4cVcRr9dpxTqoCIcaYPkpSvVT0ZPaTwIkpmwqA+SSeSupD8eIxgM3AUTHG8VWdoyRJNVUIoTI/aB8WY3wjgzHPItE1JbUTyQoSHUs6Ad1L2P7nGONPMk0mhNAMeJPiN5sB8oC5wFagL8W/SAdYCRxYnhvF2TonSZKyoehhqeQvrOfHGHuXY/9DSLyKOvUV12tIzMFtgJ5Absr2J4FTY4Y3ArN5PyBb5yRJUmUKIVwB/LaETUuBRUBzoB/FO4ECrCJxjT8xdccSxnDe/x/nfUlS1oQQOpMobupTwuYNJOaszUB7EvfBS+oMfkuM8WcZjDWYRLOWdiWMMxtoWpRHw5TtE4BDY4yb042RNNZdwPdTVkdgIYn77b2ADinbC4Gvxxj/U45xsnZOkiRtF0KYR2Iuq4i/xxjPTzOO1+r/U2PPSZXPQnNJZQohNAEeAM7KcJdVwOmZFMNJklSXVUehedG43yDRNaRphsf+A/D/yvtlbQihHfA4cHiGu8wDTs7ky/QSxsrKOUmSVNUqWmhedIzDSczBqV/YluZh4MKiV1iXZ5ys3Q/I1jlJklSZQgg/JtFNK7VIqjTTgZNijDPLMYbzvvO+JKkahBB6AP8ADi3nrvnANcDN5Si62p1E0VWmxXGvAGfEGNeUJ7Gi4q4/kHg7SyY2ARfEGB8rzzhFY2XlnCRJ2i5bheZFY3mtXgvOSZUrp7oTkFSzxRi3xBi/AZwOfFpG6EbgLmCIP9wlSao+McZ/A8NIXNzllxH6FonuIP+3MwXZRa/AOgq4GJhVRuhqEq/BGr4zReZFY2XlnCRJqg1ijK8BQ4C/kPjStzSfAF+LMZ69M4VZ2bwfkK1zkiSpMsUY/wzsBjxK2deqc4FLgN3KU2ReNIbzvvO+JKkaxBgXAkcAZwJvkOjsXZa1JOa24THG35Xn/nSM8TNgOPAb4MsyQmcC3wGO3pmC7BhjYYzxpySax7xdRmge8C9g2M4UmReNlZVzkiSpOnitXjvOSZXLjuaSyiWE0B8YCXQj8drPNcBUYHyMcUs1piZJklKEEFoBBwEDgJbAFmABiXl7cSWPNRzYC+hC4rVZq4BJwPsxxrK+cC/vOFk7J0mSaroQQlPgAGAwiddJ5gGLScy/ZT0ItjNjZeV+QDbPSZKkylJ0rXoAiWvV1sAGYBnwcYxxeiWN4bwvSVI1CSG0BEYAfUnMWU2AdSTug38OTIkxpitGz2SchiTm4GFAe6AA+ILEZ4qdauRSxljdSczDPUmcz3oShd/jYozrKnGcrJ2TJEnZ5rV6hceyDrGWsNBckiRJkiRJkiRJkiRJkiRJklRMTnUnIEmSJEmSJEmSJEmSJEmSJEmqWSw0lyRJkiRJkiRJkiRJkiRJkiQVY6G5JEmSJEmSJEmSJEmSJEmSJKkYC80lSZIkSZIkSZIkSZIkSZIkScVYaC5JkiRJkiRJkiRJkiRJkiRJKsZCc0mSJEmSJEmSJEmSJEmSJElSMRaaS5IkSZIkSZIkSZIkSZIkSZKKsdBckiRJkiRJkiRJkiRJkiRJklSMheaSJEmSJEmSJEmSJEmSJEmSpGIsNJckSZIkSZIkSZIkSZIkSZIkFWOhuSRJkiRJkiRJkiRJkiRJkiSpGAvNJUmSJEmSJEmSJEmSJEmSJEnFWGguSZIkSZIkSZIkSZIkSZIkSSrGQnNJkiRJkiRJkiRJkiRJkiRJUjEWmkuSJEmSJEmSJEmSJEmSJEmSirHQXJIkSZIkSZIkSZIkSZIkSZJUjIXmkiRJkiRJkiRJkiRJkiRJkqRiLDSXJEmSJEmSJEmSJEmSJEmSJBVjobkkSZIkSZIkSZIkSZIkSZIkqRgLzSVJkiRJkiRJkiRJkiRJkiRJxVhoLkmSJEmSJEmSJEmSJEmSJEkqxkJzSZIkSZIkSZIkSZIkSZIkSVIxFppLkiRJkiRJkiRJkiRJkiRJkoqx0FySJEmSJEmSJEmSJEmSJEmSVIyF5pIkSZIkSZIkSZIkSZIkSZKkYiw0lyRJkiRJkiRJkiRJkiRJkiQVY6G5JEmSJEmSJEmSJEmSJEmSJKkYC80lSZIkSZIkSZIkSZIkSZIkScVYaC5JkiRJkiRJkiRJkiRJkiRJKsZCc0mSJEmSJEmSJEmSJEmSJElSMRaaS5IkSZIkSZIkSZIkSZIkSZKKsdBckiRJkiRJkiRJkiRJkiRJklSMheaSJEmSJEmSJEmSJEmSJEmSpGIsNJckSZIkSZIkSZIkSZIkSZIkFWOhuSRJkiRJkiRJkiRJkiRJkiSpGAvNJUmSJEmSJEmSJEmSJEmSJEnFWGguSZIkSZIkSZIkSZIkSZIkSSrGQnNJkiRJkiRJkiRJkiRJkiRJUjEWmkuSJEmSJEmSJEmSJEmSJEmSirHQXJIkSZIkSZIkSZIkSZIkSZJUjIXmkiRJkiRJkiRJkiRJkiRJkqRiLDSXJEmSJEmSJEmSJEmSJEmSJBVjobkkSZIkSZIkSZIkSZIkSZIkqRgLzSVJkiRJkiRJkiRJkiRJkiRJxVhoLkmSJEmSJEmSJEmSJEmSJEkqxkJzSZIkSZIkSZIkSZIkSZIkSVIxFppLkiRJkiRJkiRJkiRJkiRJkoqx0FySJEmSJEmSJEmSJEmSJEmSVIyF5pIkSZIkSZIkSZIkSZIkSZKkYiw0lyRJkiRJkiRJkiRJkiRJkiQVY6G5JEmSJEmSJEmSJEmSJEmSJKkYC80lSZIkSZIkSZIkSZIkSZIkScVYaC5JkiRJkiRJkiRJkiRJkiRJKqZBdSeg7AohNAEOAAYBbYE8YBHwfoxxTnXmJkmSJEmSJEmSJEmSJEmSJKlmCDHG6s6hXgshdAP2BUYW/T4CaJkUMj/G2LsSxukIXAucDzQvJewj4PoY45MVHU+SJEmSJEmSJEmSJEmSJElS7WWheTUIIRwIXE6iuLxrmvAKF5qHEA4FHgc6ZLjLP4DvxBjzKjKuJEmSJEmSJEmSJEmSJEmSpNqpQXUnUE/tA5yajYFCCAcBzwFNUzatAeYCbYEeQG7StnOBFiGE06NPIkiSJEmSJEmSJEmSJEmSJEn1Tk51J6AdbKisA4UQ2gKPUrzIfD4wGmgXY9wrxtgH6A3cnbL7acBllZWLJEmSJEmSJEmSJEmSJEmSpNrDQvPqtR54A/g9cAaJgu+TKvH4/wd0TVqeCxwQY3wyuVN5jHFRjPF7wFUp+/+yqFhdkiRJkiRJkiRJkiRJkiRJUj0SkuqNlSUhhH5AY2BajLEwZduhwOtJq+bHGHvvxBgdgTlAi6TVR8YYXy1jn0Ci8P2QpNU3xRhTC9AlSZIkSZIkSZIkSZIkSZIk1WENqjuB+ijGODsLw5xF8SLzt8oqMgeIMcYQwq+A5LgLQwhXx2p8IiGE0BoYlbRqIZBXTelIkiRJkiRJkiRJkiRJkiRJ2dAI6JG0/GaMcW22BrfQvO46JWX5vgz3ex2YC/QpWu4M7Ae8W0l57YxRwJPVOL4kSZIkSZIkSZIkSZIkSZJU3U4BnsrWYDnZGkjZE0JoARySsvqlTPYt6lz+SsrqEysjL0mSJEmSJEmSJEmSJEmSJEm1g4XmddNQoGHS8twY49Jy7D8+ZXmPCmckSZIkSZIkSZIkSZIkSZIkqdZoUN0JqEoMTlmeUs79U+NTj5dtC5MXxo4dS//+/asrl3pvw4YNTJgw4avlfffdlxYtWlRjRpIkqSo450uSVPc530uSVD8450uSVD8450uSVPc539dPs2bNYvTo0cmrFpYSWiUsNK+bdk1ZLu9fqtT4XiGEJjHGLRXIqSLykhf69+/P0KFDqykVrVu3jqVL/9cgf/DgwbRq1aoaM5IkSVXBOV+SpLrP+V6SpPrBOV+SpPrBOV+SpLrP+V5F8tKHVJ6cbA6mrOmUsryonPsvA7YlLecA7SuUkSRJkiRJkiRJkiRJkiRJkqRaw47mdVPquxA2lmfnGGMMIWwGWpZxzJ0SQugEdCznbv2SFzZs2MC6desqIx3thI0bN5a5LEmS6gbnfEmS6j7ne0mS6gfnfEmS6gfnfEmS6j7n+/ppw4YN1Tq+heZ1U2pR+JadOEaVFJoDPwCurcgBJkyYUOz1D6peEyZMqO4UJElSFjjnS5JU9znfS5JUPzjnS5JUPzjnS5JU9znf1w8LFiyo1vFzqnV0VZUmKct5O3GMrSnLTXcyF0mSJEmSJEmSJEmSJEmSJEm1jIXmdVNqB/NGO3GMxmmOKUmSJEmSJEmSJEmSJEmSJKmOalDdCahKbEhZTu1wnonUDuapx9xZdwGPl3OffsCT2xf23XdfBg8eXEnpqLw2btxY7JUb++67L82bN6/GjCRJUlVwzpckqe5zvpckqX5wzpckqX5wzpckqe5zvq+fpk6dWq3jW2heN6UWhZfrJ0kIIVBFheYxxuXA8nLmU2y5RYsWtGrVqjLSUSVo3ry5/39IklQPOOdLklT3Od9LklQ/OOdLklQ/OOdLklT3Od/XDy1atKjW8S00r5tSC7m7l3P/XSj+d6MQWFmhjCRJkiRJkiRJkiRJkqQa4Iu1m3lrxgraNW/MAf3a07yxJVSSJEkl8VNS3TQ9ZblnOfdPjZ8fY9xSgXwkSZIkSZIkSZIkSZKkarV2cz43vzCNhycsIMbEulZNGvDz4wZz1j49yMkJ1ZugJElSDZNT3QmoSkxLWR5Szv0HpzmeJEmSJEmSJEmSJEmSVCvEGHn6syUcccub/Ov9/xWZA6zbso0rx0zkjLvfZdrSddWXpCRJUg1koXndNBnIT1ruHULoUo79D0xZ/rTCGUmSJEmSJEmSJEmSJElZtmDVJs574AN+/O9PWLlha6lxH83/khP/NI7fPD+VTXnbspihJElSzWWheR0UY1wPvJWy+qhM9g0hBODIlNVPV0ZekiRJkiRJkiRJkiRJUjbkbSvkztdncdQf3+StGSsy2mdbYeTuN+dw1K1v8erUZVWcoSRJUs1noXnd9VTK8kUZ7ncY0CdpeRnwfqVkJEmSJEmSJEmSJEmSJFWxD+at5sQ/v83vX5zO1m2F5d5/8ZrNXPT3D/neQx/xxdrNVZChJElS7WChed31CLAxafmQEMLhZe1Q1M382pTVD8QYy/+JW5IkSZIkSZIkSZIkScqiNZvy+Pl/P+eMv77LjGUbKny8FyYv5chb3uT+cXMpKIyVkKEkSVLtYqF5HRVjXA7ckbL6byGErmXs9gvgkKTltcDvKzs3SZIkSZIkSZIkSZIkqbLEGBn7yWKOuOVNHvlgYdr4BjmBbx/Uh4MHdEgbuzGvgF8/M4VT7hzH54vWVEK2kiRJtUeD6k6gvgohHAg0LWHT7inLTUIIR5ZymCUxxillDHMzcB7QuWi5D/BOCOEnwNMxxliUS3fgauC7KfvfGGNcXcbxJUmSJEmSJEmSJEmSpGozd+VGrhk7iXGzVmYUv1fPNtx02nAGdW5FjJGnP/+CXz89hZUbtpa536TF6zjlzvGcu18vLj9mV1o1aVgZ6UuSJNVoFppXn38BvTKI2wV4uZRtfwfOL23HGOPqEMLXgReBJkWrewFPAmtCCHOBNkBPIDdl9yeBP2SQnyRJkiRJkiRJkiRJkpRVW7cVcPebc7jj9VnkbStMG9+qSQOuOG4Q39inJzk5AYAQAifv3pVRAzvyhxen88/355No21iyGOHv787n+UlLufakoRw/vDMhhMo6JUmSpBonp7oTUNWKMb4FnACkdiZvA+xJost5apH5w8DXt3c8lyRJkiRJkiRJkiRJkmqK9+as4vjb3+bWl2dkVGR+yh5defXyQzl7ZK+visyTtW7akOtHD+OJ7x/AkC6t0h5v+fqt/PDhj7ngwQ9YuHrTTp2DJElSbWCheT0QY3wNGAL8BSjr0+0nwNdijGfHGMt+H5AkSZIkSZIkSZIkSap3Nm7dxqtTl/HJgi8pKLR/nbJr9cY8/u/xzzjrnveYvWJj2vie7Zrxjwv35faz9qRjy8Zp4/fs2ZanfnQgV58wmGaNUvs27uiN6Ss46o9vctcbmXVVlyRJqm0aVHcC9VWMsXeWx1sG/CCEcDlwADCYRFfzPGAx8H6McVY2c5IkSZIkSZIkSZIkSbXDlvwC/vLGbP7y5uyvCmq7tWnKtScN4eihnas5O9V1MUb++/Fibnx2Cl9uyk8b3zA38N1D+vGjw/vTpGH6gvFkDXJz+PbBfTl+eBeue2oyL01ZVmb8lvxCbn5hOmM/WcyNpw5nn97tyjWeJElSTWaheT0TY9wMvFr0S5IkSZIkSZIkSZIkqUzvzF7J1WMmMWdl8Q7Si9ds5uKHPuLIwbtw3clD6N62WTVlqLps9ooNXDVmIu/NWZ1R/D6923LTqcMZsEvLCo3btU1T7jl3BC9PWca1T05iydotZcbPWLaBM/76Ll8f0YOfHzeIts0bVWh8SZKkmqBWF5qHEJoAxBjL/iQnSZIkSZIkSZIkSZKkclm1YSs3PjeVJz5eXGbcK1OXMX7WSi49cgAXHtSHhrk5WcpQddlXXfTfmE1eQWHa+NZNG3Ll8YM4Y+8e5OSESsvjqCG7cEC/9tz+6kzuGzeXgsJYZvyjHy7k5anLuOr4wZy2VzdCqLxcJEmSsq3GF5qHENoBBwEjgN2B3kAPoBUQimIisA5YAMwDPgc+BMbHGFdlPWlJkiRJkiRJkiRJkqRaKsbI4x8u4qbnp7JmU35G+2zOL+A3z0/jiY8Xc+OpwxjRu10VZ6m67J1ZK7lq7CTmpnTRL81pe3bjyhMG06FF4yrJp3njBlx5/GBG79GNq8ZO5JMFa8qMX70xj8sf/4zHP1rIDaOH079TiyrJS5IkqarVyELzEEJf4JvAicDeQPKjriU95heANkW/hgMnFa2PIYSPgGeBh2OMs6ooZUmSJEmSJEmSJEmSpFKt3ZxP4wY5NGmYW92plGnW8vVcOWYSE+au3qn9py9bz+l/fZez9unBFccOom3zRpWcoeqyVRu2cuOzU3nik7K76G/Xp0Nzbhw9jAP6d6jizBKGdG3Ff793AP/+YAG/e34a67ZsKzP+vTmrOf72t/neqL78+IgBdvuXJEm1To0pNA8hNATOAr4PjEzeVPR7TPk97SGLfo0o+nVtCOED4E7gkRhjZo/cSpIkSZIkSZIkSZJUi+QXFPLlpjw6tWxS3akImLZ0HTc9N43xs1ZSGCN79GjDOSN7ccJuXWpU0fmW/ALufH0Wf31zNvkFmZZmlO6RDxby0pRl/OK4QZy+d3dCKKmvoJRQWBh5/KOF/Ob5aRl10W+Um8P3Du3HDw7tl/V/Rzk5gbNH9uLoIZ254dkpPPnpkjLj8woK+dNrs5i6dD33fGtv/y1IkqRapdoLzUMIzYCfAJcAnbavZseC8uRPWXnARmBT0fqmQHOgrMdgA7AP8CBwcwjhT8CfYoyZvWNHkiRJkiRJkiRJkqQabNWGrfz+xek8+/kXrN+6jYG7tOCHh/Xn5N27WthYDTblbeP2V2fyt7fnUlD4vxKITxas4ZMFa7jxuamcOaIHZ4/sSY92zaoxUxg3cyVXj53IvFWbMoo/dc9uzF6xgc8XrS0zbvXGPP7vP5/z+EeLuHH0MAbs0rIy0lUdM3PZeq4aM4kJ8zLroj+yTztuPHU4/Tu1qOLMytaxZWNuP2tPTt+7O9eMnZT238/LU5bxxowVHLZrpzLjJEmSapJqKzQPITQgUWB+BdCB/xWXb7+6DcA6YBzwETARmAYsiTGW+MkyhNAe6AoMAoYDewMHAq2SjhmBXYAbgMtCCL8F/myHc0mSJEmSJEmSJElSbVRaJ+AZyzZwySOf8tiHC7n+lGH07Vi9RZn1yevTlnP12EksXrO51JjVG/P465uzufut2Ry+aye+tX8vDhnQkZyc7D0UsHLDVm54Zgpj03Rk3q5vx+bcOHo4+/drT0Fh5F/vz+f3L0xn/dZtZe43Ye5qjrv9bS4+pC8/PnwATRvVnE7uqj5b8gu447VZ3P1WZl302zZryFUnDOFre3WrUQ/PHDygIy9cegh3vTGbv74xm7yCwlJj7x8310JzSZJUq1RLoXkI4UTgFqA/xbuXB2AKMAZ4Evg4xlj6p68UMcZVwCoSRemPF42VA+wFnAKcCgxJ2qUD8HvgeyGEy2KMz1bgtCRJkiRJkiRJkiRJyqpMOgGPn7WKY297m+8f2o/vH9qPJg0t8q0qy9Zt4ddPT+HZiV9kvE+M8Oq05bw6bTm92jfjnJG9OGNEd9o0K+ul7hVTWBh59MOF/Oa5qazbUnaROECjBjn88ND+fO/QvjRukPj7k5sTOHf/3hw7tDPXPzuVpz8ru1h9W2Hkrjdm89RnS/j1KUM5fNAulXIuqp3enrmCq8dOYn6GXfTP2Ls7vzh+MO2aV92/i4po0jCXnx41kJN378rVYyfy3pySfya/PXMl05auY1DnViVulyRJqmmqq6P5UxTvXr4eeBj4W4zx48ocqKhQ/cOiX9eEEPYEvgN8A2hdFNafRGF7tXV4lyRJkiRJkiRJkiQpU+XtBJxXUMjtr87kyU8Xc/3oYRw8oGMWsqw/ytPduyzzV23ixuemcsvL0zl5966cu39vhnVrnX7Hcpi+dD1XjZnIh/O/zCj+gH7tuWF06R3xO7Vqwp+/sSdn7N2da55MXzi86MvNXPjghxw7tDPXnjyELq2blvscVHutWL+VG56dwpMZdtHv17E5N546nP36tq/izCpH/04t+Pd39uPfExZy5ZiJJcbcP24uN5++e5YzkyRJ2jnVWVgdgMXA7cDdMcb12Rg0xvgJ8IMQwv8DvgdcAnTjf0XvkiRJkiRJkiRJkiTVWOXtBJxs3qpNfOu+CYmuuycOplPLJlWQYf0yeclarnxiIp8tWltpx9ySX8hjHy7isQ8XsWfPNnxrv14cP7xLhbrRb84r4M+vzeSet+awrTD9wwntmjfimhMHM3qPboSQvqTikIEdefHSQ/jLG7P5yxuzySso+wX2L0xeytszV3DZUQM5/4DeNMjNyfhcVPsUFkYe+WAhv30+8y76PzqsP98d9b8u+rVFCIFvjuzJYx8u5NOFa3bYPvbTJfy/YwfRoUXj7CcnSZJUTtX1KX0lcBnQL8b4h2wVmSeLMW6IMf4B6Af8tCgnSZIkSZIkSZIkSZJqpBXrt3LJI5/wrfsm7FSRebKnPlvCEX94k3+8O4+CDIqOtaONW7dxwzNTOPmO8RkVmXds2ZgzR3SnRePy9QT8ZMEafvrYZxzw29f43QvTWPRl+f+/f2P6co6+7U3uemN2RkXmZ+3Tg9cuH8Wpe3bPqMh8uyYNc7nsqIG8cOnBHNg/fQfqjXkF3PDsVE66YzyfLMisw7pqn+lL13PG3e9y5ZiJGRWZH9i/PS9eegg/OWJArSsyT3bRQX1KXJ+3rZB/vjc/y9lIkiTtnOrqaN43xrihmsYuJsaYB9wWQvhbdeciSZIkSZIkSZIkSVKqnekE3L9jC6Z8sa7MuPVbt/HLJyfzn48WcdOpwxnWrXVlpVznvTxlGdc+OYkla7ekjQ0BzhnZi58dsyutmzbklycNZcwni3no3XnMWJZ56cTqjXn85Y3Z3P3mbA4f1Ilv7d+bg/t3ICen9ELw5eu28OtnpvDM519kNEb/Ti246dTh7NunXcZ5laRvxxb886KRPPXZEq5/ZgorN+SVGT/1i3Wc9pd3+Oa+Pfl/xwyidbOGFRpfNcPmvAL+9NpM7s2wi3775o245sQhnLJH13I94FBTHTesM11bNynx58Q/35vP90b1q9BbCiRJkrKhWgrNa0qRebKamJMkSZIkSZIkSZIkqX6bvnQ9V46ZyEfzM+v2fGD/9twweji92zdLFJA/N5UvN+WXuc/ni9Zy8h3jOHf/3lx+9EBaNrHItzRfrN3MdU9N5sXJyzKKH9S5Jb85bTh79mz71boWjRvwrf16cc7InkyYu5p/vDefFyctzagQF6AwwitTl/PK1OX06dCcs0f25Iy9exQrzi4sjDw8YQG/e2Ea6zN4OKFxgxx+csQAvnNwXxo1yMkoj3RCCJyyRzcOHdiJ3780jX+9v4BYxinGCP96fwEvTl7K1SfUnWLj+ur16cv55ZOTWLh6c0bxZ+3Tg58fN4g2zRpVcWbZ0yA3h/MP7M1Nz03bYdvKDXk89dkSzhzRoxoykyRJylx1dTSXJEmSJEmSJEmSJEmlqIxOwGeM6MGRg3fht89P49EPF5a5f2GEB9+Zx3MTv+Dak4Zy/PDOFvkmKSiM/P2dedzy0nQ25hWkjW/aMJfLjhrABQf2oWFuyYXbIQRG9m3PyL7tWb5uC/+esJCHJ8xn2bqtGec1d+VGbnh2Kn94aTqn7N6Nb+3fi9ycwJVjJvLJgjUZHePgAR24/pRh9O7QPONxy6N1s4bcMHo4X9urO1eNmZS20/7KDXlc+uinPPbhQq4fPYx+HVtUSV6qGsvXbeFXz0zh2Qy76A/o1IKbThvOPr0r1kW/pvr6Pj257ZWZbCrh58b94+Zyxt7d/VkrSZJqNAvNJUmSJEmSJEmSJEmqQd6YvpxrytEJ+Bv79uCKY0vuBNy2eSN+d/punD6iO1eNmciMZWW/7Hv5+q388OGPGTWwI78+ZSi92ldN8XFtMnHRWn4x5nMmLS67QHq7wwd14tenDKV722YZj9GpVRMuOXIAPzisHy9PWcZD787n3TmrMt5/S34hj364kEc/XEgIlNk5fLsOLRIPJ5y8e3Y6h+/Zsy1P/ehA/v7ufG7NoGD/ndmrOO62t/neqL788PD+NG6QW+U5aucVFkb+NWEBNz8/jfVbq6eLfk3UumlDzhzRgwffmbfDtmlL1zN+1ioOGtAh+4lJkiRlyEJzSZIkSZIkSZIkSZJqgOXrtvDrZ6bwTIadgAfu0oIbT82sE/A+vdvx7E8O5r5xc7ntlRlsyS8sM/7NGSs4+o9v8ePD+/OdQ/rWyyLf9VvyueWlGfzj3Xlk0FSeXVo15rqThnLssJ3vBt8wN4fjh3fh+OFdmLlsPQ+9N58nPl7MhgwKd7fLpMj8myN7csUxg2jdrOFO5bmzGuTmcNFBfTh+eGd+/fQUnp+0tMz4vIJC/vTaLMbNWsk9546gQ4vGWcpU5TFlyTquHDORTxeuySj+4AEduGH0sHrzIMsFB/bm7+/OK/Hf5n3j5lhoLkmSajQLzSVJkiRJkiRJkiRJqkbZ6gTcMDeH743qxwnDu3DdU5N5ddryMuO3bivkDy/NYMwni7lh9HD279c+47FqsxgjL05eynVPTWHpui1p40OA8/bvzeVHD6Rlk8or3B6wS0t+fcow/t+xgxjzyWIeende2o706ey6S0tuOm0Ye/dK/3BCVerSuil/OWdvXp+W6N6/6Muyu/d/vGANo+8czwPn78OAXVpmKUulsylvG7e9MpP7xs2lIIOnMTq0aMwvTxrCSbt1yUoX/ZqiV/vmHDl4F16esmyHba9PX8Gs5Rvo36lFNWQmSZKUXp0pNA8h5AJ7AD2AxsByYEaMcXF15iVJkiRJkiRJkiRJUmnK2wn4kIEduf6UoRXqBNyjXTP+dt4IXpqyjOuemswXa8supp69YiPfuPc9TtuzG1eeMLhOd5VevGYz1z45iVemll2Ev93Qrq246dTh7N6jTZXl1KJxA761Xy/OGdmT9+eu5qF35/Pi5KVsy6TNepEmDXO45IiBfPvgPjTMzfzhhKp22KBOvNx3FHe8PpN73ppDfkHp57Toy82cdtc73HXOXhw8oGMWs1RJXp26jF8+OZnFa8p+SGC76uqiX1N8+6A+JRaaAzwwfi43njo8yxlJkiRlpkYWmocQGgAdgM0xxrVpYrsAvwTOBna4kg4hTAT+EGP8Z1XkKkmSJEmSJEmSJElSeW3K28btr8zkb9XUCTiEwDFDO3NQ/w7c9soM7h8/L20eT3yymFenLeeKYwdx1j49yMmpOx2JtxUU8sD4efzxlRlsyitIG9+sUS4/PWog5x/QmwZZKtwOIbBf3/bs17c9y9Zt4d8TFvDw+wtYvn5rmfuNGtiR608ZRs/2zbKSZ3k1bZTL/x0ziNF7dOOqsZOYMHd1qbHrt27j/Ac+4FcnD+Wc/XplMUttt3TtFn719GSen7Q0o/ia0kW/uu3bpx3DurVi0uJ1O2z778eL+NnRu9K2eaNqyEySJKlsNeYx1RBC8xDCtSGEycAWYDGwOoSwPITwrxDCXiXsczQwGbgYaAGEEn7tBvw9hPBCCKFplk5HkiRJkiRJkiRJkqQSvTp1GUfd+hZ3vzUnbXF3CHD2yJ68evkoTt69a6UUmSdr3rgBV50whGd+fBB79WyTNn7t5nyuHDOR0//6DlOW7FgwWRt9unANJ98xnhufm5pRkfnRQ3bhlZ+O4tsH981akXmqXVo14dIjBzL+54dz5zf3Yr++OxbxdmzZmDu+uScPXrBPjS0yTzZgl5Y8evF+/OGM3WlXRsFtQWHk6rGTuP6ZKRk9pKHKUVAYeXD8XI689c2MisybNMzh58cN4pmfHFTvi8wh8aDIRQf1KXHblvxCHp6wIMsZSZIkZaZGdDQPIQwDnge6kigOT9YBOAs4M4RwWYzxjqJ9RgJPAduvLsq6egjAUcAzwBGVmLokSZIkSZIkSZIkSRkpbyfgQZ1bcuOpw9m7V9sqzgwGd2nFf753AI9+uJDfPj+NtZvzy4z/eMEaTrpjHBce2JtLjxxI88Y1ovygXNZtyecPL07noffmEzOoV+7Sugm/OnkoRw/tXPXJZahhbg4n7NaFE3brwoxl63n28y9YsHoTe/Zswyl7dKN104bVnWK5hBA4fe/uHNi/PRc++CFTvyj9YYb7xs1l/qqN3H7WnrXy719tMmnxWq4cM5HPF63NKP7QXRNd9Hu0q/kPOGTTCcO78pvnppX4FoK/vzOP7xzcl0YNakzPUEmSJKAGFJqHELoBr5EoKIfSC8ZzgdtCCJ8B44GHSBSZR/7XvbwkMSnm0BDCJTHG2yspfUmSJEmSJEmSJEmSylRQGHno3Xn84aUZbNi6LW18k4Y5XHbkQC48qA8Ns9gxOycn8I19e3LUkF246bmpPPHx4jLjCwoj9749l6c/+4IrTxjMSbt1qfSO61UhxshzE5fyq6cnl1jwmSonwAUH9uGyowbSogYXNA/cpSUDj2pZ3WlUii6tm/Kf7+3PT/79Ca9OW15q3CtTl3PGX9/lvvNH0KW1L7mvbBu3buPWl2fwwPi5ZNI8vmPLxlx30lCOH965VvwsyLZGDXI474De/P7F6TtsW75+K89OXMKpe3avhswkSZJKVxMeg7udRJF5ckF4Sb8iiXyvA04H+ifFv0Oi63lPoAnQEhgKXA4sTto/AFeFEGrulZ8kSZIkSZIkSZIkqc6YtHgtp941nuuenpJRkflhu3bk5ctG8d1R/bJaZJ6sQ4vG3HrmHjz8nZH07dg8bfzSdVv4yb8/4ax73iuzA3VNsHD1Ji588AN++PDHGRWZ79a9NU/96CCuOXFIjS4yr4uaN27APeeO4KKD+pQZN+WLdYy+czwTM+y2rcy8NHkpR976JveNS19kHgJ8a79evHr5KE6oJQ+cVJdv7tuTJg1L/tl+37i5xExeryBJkpRF1VpoHkLoC5xG8QLz+4F9gRZAc2AEcE/RLhE4BPhO0mFujzEeFGN8LMa4KMaYF2PcGGOcGmP8I7A7MCEpvj1wSlWelyRJkiRJkiRJkiSpftu4dRvXPzOFk+8Yx+cZFMB2atmYu87ei/vP34ce7ZplIcP0DujXgecvOZifHT2Qxg3Slxe8P3c1J/zpba57ajJrN+dnIcPM5RcU8tc3Z3PUH9/k9ekr0sa3aNyA604awpgfHMiwbq2zkKFKkpsTuObEIdwwehi5OaUXLy9bt5Uz736XFycvzWJ2ddOSNZu5+B8fcvFDH/HF2i1p4wd3acUT3z+A60cPo1WThlnIsHZr27wRX9ur5K7lkxav4/25q7OckSRJUtmqu6P5WUW/b+84fmWM8dsxxg9jjJtijJtjjB/HGL8H/L+iuBzg8KL9Pgd+WtYAMcYvi8bZVjQGSftLkiRJkiRJkiRJklSpytsJ+Lz9e/HK5aM4fnjN6wTcuEEuPzp8AC9ddgijBnZMG18Y4cF35nH4H97g0Q8WUJjuP0AWfDT/S0768zh++/w0tuQXpo0/blhnXvnpKM4/sE+Zxc3KnnP268WDF+xDyzK6ym/OL+B7//yIe96abVfonbCtoJD7xs3lqFvf5KUpy9LGN22Yy1XHD+bpHx3Inj3bZiHDuuPCMrr03zdubhYzkSRJSq+6C833TfrzbOB3ZcTeCkwv+vP2wvS/xgyuDmKM84BnivYD2LvcmUqSJEmSJEmSJEmSVIbydgIe0qUVY35wIL86peZ3Au7VvjkPXrAPd35zLzq1bJw2ftXGPK7470ROvWs8ny5cU/UJlmDtpnyuHDOR0//6DtOWrk8b361NU+47bwR/OWdvOrdukoUMVR4HD+jIEz84gO5tm5YaEyPc9Nw0fvHERPIL0j9UoITPF63hlDvHc/0zU9iYV5A2/ohBnXj5p4fwnUP60iC3ukuPap9+HVtw2K4lP7jzytRlzFu5McsZSZIkla66P+0NK/o9Ak+UVTRetG0M/ysWBxhXjrHeLvo9ACW/g0aSJEmSJEmSJEmSpHIqbyfgZo1yufqEwTz1owPZo0ebqk+wkoQQOGG3Lrx6+SguOiizbt+fLVrL6DvHc8V/Pmflhq1ZyBJijDz56WKOuPVNHn5/Aena1+XmBC4+pC8v//QQjhi8S1Zy1M4ZsEtLxv7wQPbq2abMuEc+WMh5909g7ab87CRWS63fks91T01m9J3jmbxkXdr4zq2a8Ndz9uJv542ge9tmWciw7rrooL4lro9Fb4WQJEmqKaq70Lxd0p8/zyB+Usry/HKMNS/pz63LsZ8kSZIkSZIkSZIkSSUqbyfgIwd34uWfjuLbB9feTsAtmzTkmhOH8MIlB3Ng//YZ7fPohws57A9v8MD4uWyrwk7T81dt5Nz7J3DJI59mVNi+R482PP2jg7jy+ME0a9SgyvJS5enQojEPf2c/Tt69a5lx78xexal/Gc/8VXaHThVj5IVJX3DkrW/y4DvzKEzzMEZOgPMP6M3LPz2EY4d1IYT0D5mobAf2b8+gzi1L3PbYhwtZu9mHJCRJUs1Q3VetLUl0MwdYnUF8sZgY44ZyjJUc62OVkiRJkiRJkiRJkqSdtnOdgPfm3nNH0K1N0yxkWPUG7NKSf140krvO3ouurZukjV+/ZRu/enoKJ/55HO/NWVWpueRtK+TO12dx9B/f4u2ZK9PGt2zSgOtHD+O/3z+AIV1bVWouqnpNGuZy+1l7cMkRA8qMm7NiI6PvHM+EuZmUpNQPi77cxLf//iHf++fHLFuX/mGMYd1aMfaHB3LdyUNp2aRhFjKsH0IIXHhQnxK3bcor4NEPFmQ5I0mSpJJVd6F5btKf8zKIr8jjemmev5QkSZIkSZIkSZIkqWwxRp6fWL5OwBcc2JtXLh/FscM617lOwCEEjh/ehVcuH8WPD+9PowbpyxCmLV3PWfe8x4///QlfrN1c4Rw+mLeaE/70Nr9/cTpbt6Xvln7ibl149aej+NZ+vcjNqVv/f9QnIQQuO2ogt319DxqV8XaALzflc87f3mfMJ4uymF3Nk19QyD1vzeaoW9/i1WnL08Y3b5TLNScOYewPDmS37m2qPsF66OTdu9KhRaMStz04fl6Vvv1BkiQpU773SZIkSZIkSZIkSZKkDCz6chPXPjk5oyJNSHQC/s2puzG8e+sqzqz6NWvUgMuP3pXT9+7O9c9M4ZWp6f8bPf3ZEl6duowfHd6fiw7qQ+MGuWn3SbZmUx6/fX4aj3ywMKP4Hu2acv0pwzh0107lGkc12+g9u9G9bVMufugjVm8sucdhXkEhlz36GXNXbOSyowbWuQc+0vlkwZdcOWYSU79I//YFgKOH7MJ1Jw+lax15+0JN1aRhLufs14vbXpm5w7Yla7fw/KSlnLR712rITJIk6X+qu6O5JEmSJEmSJEmSJEk12s50Av5lUSfg+lBknqxX++b87bx9eOCCfejToXna+E15Bdz8wnSOve1tXs+wgD/GyJhPFnHELW9mVGTeICfw/UP78dKloywyr6NG9G7H2B8cSP9OLcqM+9Nrs/jxvz9hS35BljKrXuu25HPN2Emc9pd3Mioy79q6Cfd8a2/uOXeEReZZcs5+vUp9E8R94+ZmORtJkqQd2dFckiRJkiRJkiRJkqRSfLzgS658YiLTlq7PKP6YoYlOwF1a1+8izcN27cQB/dpz37i53PHaLDbllV3YO3flRi548AOOHNyJa04cQq/2JRepz125kavHTmT8rFUZ5bF3r7bcdOpwdu3cstznoNqlZ/tm/Pf7B/DDf33MuFkrS4175vMvWLxmM/d8awQdWzbOYobZEyO8OGUFN786lxXrt6aNzwlw4YF9uOyogTRvbClRNnVo0ZhT9+jGox/u+NDMpwvX8NH8L9m7V9tqyEySJCnBT4eSJEmSJEmSJEmSJKVYuzmf3784jX+9v4AY08d3bd2EX50yjKOG7FL1ydUSjRvk8oND+3Pqnt246blpPP3ZkrT7vDJ1OW/NXMl3D+nLDw7tT9NGuQBs3VbA3W/O4Y7XZ5G3rTDtcVo1acDPjxvMWfv0ICcnVPhcVDu0btqQBy7Yh18+OZl/T1hQatwnC9Yw+s7xPHDBPgzcpW49hLBqCzw+N4ep703LKH737q258dThDOtWv96+UJNceFCfEgvNAe4fN9dCc0mSVK1qUqF5BpfmkiRJkiRJkiRJkiRVnRgjz3z+Bb9+ZkpGnYBzcwIXHNDbTsBl6NK6KX/+xp6cPbIn1z45menLyu4On7etkD+/Nov/frSIq08cQrvmjbhyzETmrNiY0Xin7NGVq08YUme7VatsDXNzuOnUYfTr2Jwbn5ta6oMii9ds5mt3vcMdZ+/FqIEds5tkFcgvKOSVxYEXFuWQX5j+4YoWjRvwf8fsyjn79SLXhzGq1a6dW3LwgA68PXPHTvzPT/qChas30aNds2rITJIkqeYUmgfglRDK9cE1hBDKfrfWjmLRWJIkSZIkSZIkSZIkFbNw9SauHjuJN2esyCjeTsDls1/f9jz7k4P453vzueXlGazfsq3M+CVrt/CDf32c8fF7tW/GDaOHcfCA2l80rIoJIfDtg/vSq31zLnnkEzbllVxesn7rNi588AOuO3ko39qvV5azrDwfzV/NFf/5jFkrcjOKP354Z3554lA6t25SxZkpUxce1KfEQvPCCH9/Zx5XnzikGrKSJEmqOYXmsHMF4OXdx67pkiRJkiRJkiRJkqRi8gsKufftOfzp1ZlsyS9MG28n4J3XIDeH8w/sw4m7d+X3L0znsY8WltpxOlMNcwPfPaQfPzq8P00aZlZoq/rhqCG78Nh39+fbf/+Qpeu2lBhTUBi5Zuwkpn6xjp8fN4hWTRpmOcudt3ZTPr99YRr/nrAgo/hubZpy/eihHD5olyrOTOU1akBH+nVszuwS3tzw6AcLufSogbTwrRmSJKka5FR3AkViln5JkiRJkiRJkiRJkvSVj+av5sQ/jePmF6ZnVGR+wvAuvHr5KM47oLdF5hXQoUVjfnf6boz5wYHs3n3nO8Lv27sdz/3kYH52zK4WmatEw7q1ZuwPD2RYt1Zlxj38/gIO/8MbPP7hQgoLa3aJSYyRJz9dzBG3vpFRkXluTuC7o/ry8k8Psci8hsrJCVx0UN8St63fuo3HPliY5YwkSZISakKhecjyL0mSJEmSJEmSJElSPbd2Uz6/eGIiX/vLu0xftj5tfLc2Tbn//BHcefZe7NKqSRYyrB/26NGGMT84kJu/thvtmzfKeL/WTRty89d245GL92PALi2rMEPVBZ1bN+Gx7+7P0UPKLrJeuSGP//vP53ztr+/w+aI12UmunOav2si590/gkkc+ZeWGvLTxe/RowzM/PohfHDeYZo3siF2TnbZXN9o2K7mj/gPvzKWghj8AIUmS6qbq/gTZp5rHlyRJkiRJkiRJkiTVIzFGnvpsCdc/MyWjIs3cnMC3D+7DJUcMsEiziuTkBM7cpwfHDOvMH1+ewUPvzS+zoPK0Pbtx5QmD6dCicRazVG3XrFED/nrO3vzuhWnc/dacMmM/WbCGU+4cz1n79OBnR+9K+xrwdy1vWyH3vDWbP782i63b0r99oWXjXK44bjDf3LcnOb59oVZo0jCXs0f24o7XZ+2wbeHqzbw8ZSnHDutSDZlJkqT6rFqvgmOM86tzfEmSJEmSJEmSJElS/TFv5UaueXISb89cmVH8Hj3a8JvThjO4S6sqzkyQ6FJ+3clDOWvfHlz75GTen7u62PY+HZpz4+hhHNC/QzVlqNouJyfwi+MH06dDc64eO4ltZTzQECP8e8JCnv38Cy4/elfOHtmTBrk5Wcz2fybMXc2VYyYya/mGjOL3bF/ILWePpG9X/63UNufu34u735pNfsGOfzfvGzfXQnNJkpR1Pm4tSZIkSZIkSZIkSarTtncC/tNrs8jLpBNwkwZccewgOwFXk0GdW/HIxfvx8pRlvDRlGWs25XHYoE58ba/uNGmYW93pqQ44a9+e9GzfjMsf+4wv1m4pM3bdlm1c+9Rk/j1hAb86eSgj+7bPUpawZlMev3luGo9+uDCj+PaNI2f0LWRwm0iHFo2qODtVhU6tmnDSbl154pPFO2z7YN6XfL5oDbt1b5P9xCRJUr1lobkkSZIkSZIkSZIkqc4qbyfgE3frwi9PHEKnVk2qODOVJYTA0UM7c/TQztWdiuqoA/p14NXLR3Hn67O496255BWU/RDKtKXr+fo973Hy7l258vjBdG5ddT8jYoyM+WQxNz47lVUb89LGN8gJnLdfdwZtm0sjn8Wo9S48qE+JheaQ6Gp++1l7ZjkjSZJUn1XPO30kSZIkSZIkSZIkSapCazblccV/PufMu9/NqMi8R7umPHjBPtzxzb0sMpfqiWaNGvB/xwzipcsO4fBBnTLa56nPlnD4LW9w1xuz2LqtoNJzmrNiA2f/7X1++thnGRWZj+jVlmd/cjCXHNrbIvM6Yli31uzXt12J2579/AuWpunCL0mSVJnsaC5JkiRJkiRJkiRJqjN2phPwxYf05ceHD6CpVZpSvdS7Q3PuP38fXpu2jF89PYX5qzaVGb8pr4CbX5jO4x8u4pcnDuGwDIvUy7J1WwF/fWMOd74+K213dYBWTRrwi+MH8/URPcjJCaxbt67COajmuOigvrw3Z/UO67cVRv7+7jyuOHZQ1nNavyWfbQWRts0bZX1s1W0xRt6euZIP5q2mU8vGnLx7N1o3a1jdae2UVRu28uiHC/l84Vr6dGzOxQf39d+MpFrPQnNJkiRJkiRJkiRJUp0wZ8UGrh47iXdmr8oofkSvttx46nB27dyyijOTVBscPmgXDujXgfvGzeWO12axOb/sjuVzV27kggc/4MjBnbjmxCH0at98p8Z9d/Yqrho7kTkrNmYUP3qPrlx1whA6tmy8U+Op5jtiUCd6t2/GvBIeenj4/QX8+PD+NGuUnbKvJWs2c9NzU3l+0lIKCiN79mzDVccPZkTvkruuS+Uxa/kGrhwzkQlz//dgxS0vz+AXxw3ijL0TD9LUBjFGHvtwITc9N421m/O/Wv+fjxbx8LdHMmAXP2tKqr1yqjsBSZIkSZIkSZIkSZIqYuu2Am5/ZSbH3vZ2RkXmrZo04DenDeex7+5vkbmkYpo0zOWHh/Xn1ctHceJuXTLa55Wpyznqj29xy0vT2ZxXdnF6stUb87j8sc/4xr3vZVRk3rt9Mx66aF9uO2tPi8zruJycwAUH9ilx29rN+fz3o0VVnsO2gkLuGzeXI299k2c+/4KCwgjAJwvWcPpf3+UXT3zOmk3p3xwilWRLfgG3vjyD425/q1iROcCaTflc8d+JfP2ed5mxbH01ZZi5Wcs38PV73uOK/04sVmQOsGL9Vs7+2/vMW5nZg0SSVBNVa0fzEML91TR0jDFeVE1jS5IkSZIkSZIkSZIqiZ2AJVWFrm2acsc39+Lskau47qnJTE9T7Ji3rZA/vzaL/360iKtOGMLxwzsTQsmdeGOM/OejRdz03FS+3JRfYkyyhrmB743qxw8P60+Thrk7dT6qfU7fuzu3vDSddVu27bDt/vHzOHtkryrr9jxx0Vp+MeZzJi1eV2rMvycs5KXJy7jmxCGcskfXUv++S6nemb2Sq8dMYk6a4usP5n3J8be/zcWH9OXHhw+gaaOa9fNvS34Bd70xm7+8MYv8glhq3PL1W/nmve/x6Hf3p0e7ZlnMUJIqR7UWmgPnA6X/lK0aoWhMC80lSZIkSZIkSZIkqZZavTGPG5+dyn8/zqyra+/2zbh+9DAOHtCxijOTVJfs3689z/7kIB56bz63vjyD9SUU/SZbsnYLP3z4Y/bv255fnTKUgbsUf2vCrOUbuGrMRN5P6eBbmn17t+Om04bRv5NvX6hvmjduwDdG9uTuN+fssG3uyo28Pn05RwzepVLH3Lh1G7e8NIMH35lLYQYVXas25nHpo5/yn48Wcf3oYfTp0LxS81HdsnpjHjc9N5X/lKMj/7bCyF1vzObpz5fw61OGcdiunaoww8xlWiy/3ZK1Wzj7b+/z2Hf3p3PrJlWcnSRVrpzqTqBISPolSZIkSZIkSZIkSVKJYow8/uFCjrjljYyKzBvmBn58eH9euPQQi8wl7ZQGuTlccGAfXv/ZoXx9RI+M9nl3ziqOu/1tfv30FNZtyWdLfgG3vjSd425/K6Mi8zbNGnLz13bjkYv3s8i8Hjtv/97kltK1/L5xcyt1rJenLOOoW9/k/vGZFZknGzdrJcfc9hZ/fnUmW7cVVGpeqv1ijPz3o0Ucccsb5SoyT7Zw9WYueOADfvivj1m2bkslZ5i51RvzuPyxz/jmve9nXGS+3YLVm/jm395jxfqtVZSdJFWN6u5ovt32jycWm0uSJEmSJEmSJEmSSmQnYEnVqUOLxvzu9N34xsieXPvkJD5btLbM+ILCyP3j5/LUZ4tp0bgB81Ztymicr+3VnSuPH0T7Fo0rI23VYl3bNOX44V14+rMlO2x7Z/YqJi9Zy9CurSs0xtK1W7juqcm8MHlphY6Tt62QW16ewdhPF3PTqcMZ2bd9hY6numHOig1cPXYS78xeVSnHe3biF7w1YwU/O2ZXztmvV6kPYlS2GCP//XgxNz47hS835e/0ceas2Mg5f3uff1+8H+2aN6rEDCWp6tSUQvMAFACvAY8Amd0VkCRJkiRJkiRJkiTVeVvyC7jrjdn85Y1Z5Bekb7PapllDrjxuMKfv3Z2cLBUgSao/9ujRhjE/OJDHP1rIzS9MZ9XGvDLjV27IY+WGsmMA+nZozg2nDuOAfh0qK1XVARcd1KfEQnOA+8fN45Yzd9+p4xYURv753nx+/+J0Nmzdlja+eaNc2jZvxKIvN5cZN3vFRr5+z3ucsXd3rjx+MG0tpq2Xtm4r4O4353DH67PI21aYNr5ts4ZceuRAXpm6jLdnriwzdv3WbVz71GT++/Eibjp1OMO6Vexhi3TmrNjAVWMm8e6czIrlD+jXns35BXyyYE2J26cvW8+597/Pv769H62bNqzETCWpatSUQvMI5ABHAocAzwJ/B56LMfo+FUmSJEmSJEmSJEmqp8bPWsnVYycxd+XGjOLtBCwpG3JyAl/fpyfHDuvCH1+ewUPvzaegMP2DMCVplJvDDw7rx/dG9aNJw9xKzlS13R492rB3r7Z8NP/LHbY9/dkSrjhuVzq1bFKuY05espYrx0zis4VrMoo/asgu/OrkobRr3og7XpvF3W/NTvvg1+MfLeLVacu58vjBfG2vboTgg1/1xYS5q7lyzERmLd+QUfzpRQ8ltGveiHP378VTny3h+mempH1A5/NFazn5jnGcd0BvLj96V1o0rtxSyPIWy7dr3oirTxjMqXt2Y/3WbZx97/tMXFzymy8mLV7H+Q9M4KGLRlZ63pJU2XKqefx/ABtJdDTf/mmiMXAqMBZYEkL4Ywhhr+pJT5IkSZIkSZIkSZJUHVZu2Mplj37K2X97P6Mi874dmvPwd0Zyy5m7W2QuKWtaN23IdScP5dmfHMTIPu3Kvf/+fdvz/KUHc+mRAy0yV6m+fVCfEtfnFRTyz3fnZ3ycTXnbuOm5qZx8x/iMisw7t2rC3d/am3vPHUHXNk1p0jCXnx2zK8/95GD26d027f6rN+bxs8c/4xv3vsfsFZkVHav2WrMpj5//93POvPvdjIrM+xR9dvvDGbvTrqjzfQiBU/boxqs/PZSzR/Yk3fMJhREeGD+PI295kxcmfUGMO/fAT6oJc1dz/O1vc+vLMzIqMj997+688tNRnLZXd0IItGrSkH9cuC+DOrcsdZ9PFqzhwgc/YHOefXhVPjHCxysDM9f6AI+yo1oLzWOM5wOdgfOB15I2bS887wj8BPgghDAxhHB5CKFztvOUJEmSJEmSJEmSJGVHYWHkkQkLOOKWNxnzyeK08Y1yc7j0yAE8d8nBHNCvQxYylKQdDercikcu3o8/f2NPurRO3126bbOG3HLG7jz8nZH069giCxmqNjt6aGe6t21a4rZ/vr+ALfnpC1Vfn7aco259i3vempO2+34IcP4BvXn5p4dwzNAdS7UG7NKSRy/en999bTitmzZMO/Z7c1Zz3G1v88eXZ2SUq2qXGCNjP1nMEbe8ySMfLEwb3zA38JMjBvB8GZ/dWjdryI2nDue/3z+gzGLt7Zau28L3/vkx3/77hyxcvanc57Ddmk15XPGfRLH87BWZPej47+/sV6xYfru2zRvxz2+PpF/H5qXuP2Huai5+6MMa++8iv6CQuSs3VloBvypu0ZebuXtaDn+fmcsjs3Nq7N8d1S3V3dGcGOOmGOM/YoxHAr2Ba4AZKWEBGALcDCwMITwfQvh6CMHH0CVJkiRJkiRJkiSpjpi5bD1fv+ddfv7ERNZuzk8bbydgSTVJCIGTdu/Kq5eP4oeH9aNRbsllOWeO6M5rlx/K1/ZOdL6V0snNCZx/QO8St63emFfmg1nL123hh//6mAse/IDFazanHWtIl1aM/cGBXHfyUFo2Kb2IPCcn8PV9evLq5aM4bc9uaY+bV1DI7a/O5Pjb3+ad2SvTxqt2mL9qI+feP4FLH/2UVRvz0sbv26cdz19yCD89KrPPbnv1bMvTPz6IK48fRNMM4l+dtpyj//gWf31zNvkF6TuRb5dcLP/oh+mL5Rvl5nDJEQN4/tKD2b9f+1LjOrRozL++vR892zUrNebtmSv54b8+zqhzeras25LPdU9NZq/rX+awP7zBvje9yp2vz6pROdY3+QWF3PXGLE6992Omrkl8vli5NXDv+PR/X6WKqvZC82QxxoUxxhtjjIOAA4B7gLVFm7d/ss4FjgYeBpaFEO4JIRyc/WwlSZIkSZIkSZIkSZVhS34Bv39xGsf/6W0+mPdl2ng7AUuqyZo1asD/HTOIly47hOOGdaZJwxxyAuzTuy2PXLwfN5++O21TOt9K6Xx9nx60aNygxG33j5u7Q8fhwsLIQ+/N54hb3uTZiV+kPX7ThrlcfcJgnvrRgezeo03GeXVo0Zhbv74H//r2SPp0KL1z83ZzVm7km/e+z08f+5RVG7ZmPI5qlrxthdz5+iyO/uNbvD0z/YMDrZs25Oav7cYj39mP/p3K99mtYW4OFx/Sj1cuH8WRg3dJG785v4DfPj+Nk/48jo/mr04bX95i+ZF92vHcJQdz2VEDadwgffF759ZNePg7I+nWpuS3EkCiQP6SRz5hWzmK46tCjJFnP/+CI295kwffmcf6LdsAWLF+K79/cTon/OltJsxN/99Uleuj+as58U/juPmF6WxNKfZ/4L1FzFy2vpoyU31R8qePGiDG+B7wXgjhJ8Bo4FzgGBKF5gGIQCvgIuCiEMI84O/AQzHGudWRsyRJkiRJkiRJkiTVBOu25PPa1OVs3VbAnj3bMnCXltWdUqnemrGCq8dOYsHqTRnFnzmiO784brBFmpJqvN4dmvOXc/Zm67YCNucV0KaZP7e081o2aciZI3pw//gdy6JmLt/AWzNXMmpgRwCmLV3HL56YyCcL1mR07MMHdeLXpwyle9vSuy6nc2D/Djx/ycHc9cZs/vLGLPILYpnxT3y8mNemLefK4wZzxgi7+9cmH81fzZVPTGJ6hsWtp+7ZjatOGEyHFo0rNG63Nk3523kjeHHyUq57ajJfrN1SZvy0pev52l/e5Rv79uSKY3fd4Wdw3rZC7n17Dn96deYOxbsladOsIVceP5gzduJtFN3bNuNf3x7JmXe/y/L1JT9g8fykpfzs8c+45cw9yM3J/r+Hhas38csnJ/H69BWlxsxcvoEz737Xz+NZsnZTPr99YRr/nrCg1JhthZGrxkzikYv3I6ca/t6ofqixhebbxRjzgMeAx0IIuwDnkCg6H54UFoA+wLXAtSGE8SSKzh+PMa7LcsqSJEmSJEmSJEmSaqn1W/JZtm4r/To2r5UFTwWFkYffn8/NL0xn/dZtX63fp3dbzt2/N8cO60zD3Jrx4uvl67dwwzNTeeqzJRnF9+vYnBtPHc5+fdtXcWaSVLkaN8jNqOutlM4FB/bmwXfmUlhCDfd94+ayb+92/Om1mdz71hy2lRSUolPLxlx38lCOG9a5Uj73NGmYy0+PGsjJu3flqjETeT9N5+M1m/L5f//9nP98vIibTh1G/04198E4wdrN+dz8wjT+9X7pRa/JerVvxg2jh3HwgI6VmscxQztzYP8O/PHlGTwwvuR/D8n+PWEBL01eytUnDmb0Ht0IIZS7WP60omL59hUolu/doTkPf2ckX7/7vVI7p4/9dAlNGuZy06nDs1Y0nF9QyH3j5nLbKzPYkp9ZR/XHPlzEK1OXc+Xxg/naXt1q5XVTTRZj5KnPlnD9M1NYuSF9l/2PFnzJxMVry/U2Cqk8anyhebIY4zLgFuCWEMIewPnAN4Dts9H2n1gHFv26PYTQIcZY9uNLkiRJkiRJkiRJkuq1xWs2c8MzU3hl6jLyCyIdWzbmu4f05dz9e9OoQc0ozE5n8pK1XDlmEp8tXLPDtg/mfckH876kU8vGfHNkT765b086tWqS/SSBwsLIvz9YwG+fn8b6LdvSxjdqkMOPD+vPxaP6WqgpSarXerRrxjFDO/P8pKU7bHtrxgqOvPVNFq/ZnPY4IcA5I3vxf8fuSqsmDSs9z/6dWvDIxfvxn48WcdNzU/lyU36Z8RPmrua429/mu4f040eH96dJQ+f7miTGyDOff8Gvnp7Cyg0ld+NO1iAn8N1Rffnx4QOq7P/LFo0bcM2JQxLd0seW/Pk32aqNeVz26Gc8/uEierVvxr8nLMxonN7tm3HD6OEcNKBDJWQN/Tu15J/fHsk37n2PNaX8u3jkg4U0bpDDdScPrfIC7o/mf8lVYyYybWlmBffJVm/M42ePf8bjHy7kxlOH079TiyrIsP6Zt3IjV4+dxLhZKzOK361bS353+h4M7tKqijNTfVarCs2TxRg/BS4NIfwMOB44DzgB2P7pJwBNgdpx10eSJEmSJEmSJElS1m0rKOSB8fP44ysz2JRX8NX6Feu3csOzU3n4/QVcfeJgDtu1U43t1Ldx6zZue2UG94+fR0Galo7L12/ltldmcsdrszhueBfO3b8XI3q1zdq5TVu6jiufmMjHC9ZkFH9Q/w5cP3oYfTo0r9rEJEmqJS46qE+JheZARkXmgzq35KbThrNXz7aVnVoxIQTOGNGDIwbvwk3PTeU/Hy0qMz6/IHLH67N4+vMlVdIFO5u25Bfw3MQvmL9qE8O6tebwQZ3IzVJ36sq2cPUmrnlyEm9MX5FR/N692vKb04YzcJfsdKcf1q01T3z/gBLf6FOSd2av4p3Zq9Iet2FuqLIHHwZ3acU/LtyXs+99v9R8//7ufJo0zOXnxw2qks/pazfl87sXp/Fwht3py/L+3NUcd/tbfG9UP354mA+K7Ky8bYXc/eZs/vz6LPK2pe8s3zQ3clKvQq78+u60aW2RuapWrS003y7GuA14KoQwBVgKfB9I/+4XSZIkSZIkSZIkSfXapwvXcOUTE5nyxbpSY+as3MiFD37IIQM7cs0JgxmQpaKZTL06dRm/fHJyRoVlybYVRp7+bAlPf7aEwV1acd7+vThlj240bVQ1hSGb8rZx+6szue/tuWxLUwwP0KFFI64+YQin7NG1xhb4S5JUHfbu1Zbdu7fms0Vry7Vfk4Y5XHrkQC46qA8Nc7PXt7Nd80b84Yzd+dpe3blq7ETmrNhYZvz8VZv41n0TOGWPrlx1wmA6tayeN7DsrNenLefqsZOKfTYb1q0Vvzl1N4Z3b12NmZVPfkEh942by22vzGBLfvqi15ZNGvCL4wZz1j49yMlyUX1uTuBb+/fmmKGd+fUzU3jm8y8qdLwRvdpyUxUXy+/WvQ0PXrgP37pvQrGHXZPd/dYcGjfM5adHDay0cWOMPPXZEq5/ZmpG3elzcwJ792rLhLmry4zLL4j8+bVZPPVZ7X9QpDq8P2cVV42dxKzlGzKK36t9Iaf2LqRVI8jxWklZUKsLzUMIrYGzgHOB/YpWW2QuSZIkSZIkSZIkqVTrtuTzhxen89B784kZfrv41owVHDtrJd/arxeXHjmANs0aVW2SaSxdu4XrnprMC5NL7mhaHlO/WMfPn5jIb56fxpkjunPOfr3o1b7yOoi/Pm051zw5iUVfZlYM/419e3DFsYOq/b+xJEk1UQiBCw/qwyWPfJrxPqMGduSG0cPo0a5Z1SWWxv792vP8JQfz1zfmcOcb6Tv2PvnpEl6btpyfHzeIb+zTM+vFy+W1fP0Wfv10yUXOkxav45Q7x3HeAb25/OhdadG4ZpfsfbLgS37xxESmLV2fUfxJu3flmhOr/6GATq2acMc39+KMESu4ZuwkFqzeVK79WzVpwC+OH8zXR2SnWH7vXu2477x9OP+BCWwt5d/Dn16dSZOGOfzg0P4VHm/+qo1cPXYSb89cmVH8Hj3acNOpwxnStRVvz0z8N523quz/ptsfFDl5965cXQP+TtR0X27M4zfPT+WxD8t+48N2Pds14xdH9yVv/qdVm5iUombPWiUIIeQCx5EoLj8RaLx9E4ki8+0/5RcD/wS2ZDtHSZIkSZIkSZIkSTVPjJHnJi7lV09PZvn69B38UhUURh58Zx5jP13MZUcO5OyRPWmQxY6g23P4x7vzuOWlGWzYuq1Sj712cz73vj2Xv42by2G7duLc/XtxyICOO11os2xdouDq2YmZdZUcuEsLbjp1OCN6t9up8SRJqi+OH96F3z4/jS/Wll0W1aFFY3550hBO2q1LjXhDSOMGuVxy5ABO2r0LV4+dxDuzV5UZv37LNq4aM4n/fLSIm04dzuAurbKUaeYKCyOPfriQ3zw3lXVbSv9sVhjhgfHzeH7iUn51ylCOGdo5i1lmprwPY3Zv25TrRw/jsF07VX1y5TBqYEdeuuwQ7nhtFne/NZv8gvQnc/LuXbnmxCF0bNk4bWxl2r9fe+45dwTf+fuH5BWUXGx+8wvTadIglwsP6rNTY+RtK+Tet+fwp1dnllrQnqxlkwb8v2MH8c19e5JbdB1w8ICOvHDpIdz1xmz++sbsUnPd7qnPlvD69OX8v2MHcfa+Nf9BkWyLMfLEx4u58bmprN6Ylza+QU7gu6P68uPDB5C3eSOvz89CklKSWlNoHkLYk0Rx+TeA7e9WSC0u3wyMAf4OvBpjpv0HJEmSJEmSJEmSJNVlC1dv4pdPTuL16SsqfKw1m/K59qnJ/PO9+Vxz4hAOGZidV8NPWryWK8dM5PNFazOKP2zXjlx0UF+enfgFYz9ZzOb8goz2ixFem7ac16Ytp3f7ZpyzXy/OGNGD1k0bZrR/QWHkX+/P5/cvTGd9BsXwjRvkcMmRA/j2QX1p1CC7hfuSJNVGDXNzOO+A3vz2+WmlxnxzZE+uOGYQrZtlNn9nU9+OLfjXt0cy5pPF3PBs+kLLTxas4cQ/j+Oig/pw6ZEDaNaoZpS8zVq+nl88MZEP5n2Z8T5L123huw99xJGDd+FXpwylW5umVZhhZmKMvDBpKdc9PZll69I/jJmbE/j2wX249IiBNG2Um4UMy69Jw1x+dsyujN6zK1eOmcSEuatLjOvRrik3jB7OqCx9ni/JqIEdufPsvfj+Pz9iW2HJ5Y6/fmYKTRrm8s2RPct17A/mrebKJyYyc/mGjOJP3K0LvzxxCJ1a7diJvEnDXH561MBEt/KxE3lvTsn/Tbdbv2Ub14ydxH8/WsSNpw5jaNfW5cq9rpqzYgNXjZnEu3PKftBmuxG92nLTacMZuEtLAPIye0mUVKlqxqxbihBCF+Ac4FvA0O2rSwh9k0Rx+X9ijJn9VJQkSZIkSZIkSZJU5+UXFHLfuLnc9soMtuSn7+DXonED9uvbnlemLksbO3P5Bs69fwJHDOrElScMpl/HFpWR8g42bN3GrS/N4MF35lJK7UkxnVo25rqTh3LcsM6EEDhoQAd+fuwgHv9oIQ+9N5/5aV55n2zeqk3c8OxUbnlpBqP37Ma5+/cqs5vo5CVruXLMJD5buCaj4x8ysCM3nDKMnu2bZZyTJEmCs0f25J/vzWfRl8WrDgd0asFvTqv5bwgJIXDaXt05fFAnfvv8NB75YGGZ8QWFkXvemsOzn3/Br04eypFDdslSpjvakl/AXW/M5i9vzMqoW3ZJXpm6jHdmr/z/7N13fFX1/cfx18keZEAgOyQEyA4bZIiCsjc4Wm0Vtdpq+6tarVYBZQhoq1Zrh7WOOuqqlr0FUdlTIJOwMggJECAkJGTe8/sjoCiQe4BMeD8fDx6Qez/nnM/lJvfm3vv+fg6PDY7inr4RDX6WnLNyC08zdX4yK9OOWKrvEubL8xOa5nT5C+ng78Wnv+xdMxV/SRonSiuBmgnR9/eP5JGbOzaJsPzguAD+8tOu/Pbj7Rf9fX/yvCRcnRy4pXuo3f0VllZY+rk6K6yVO8+NTWCAhen0Hfxb8PEDvS1P5N6RU8iYv63j3r4R/G5wFJ6uTTqyWm/Kq6p5/at9/GO1/YnwAD7uzjw9PIbbe4RpIrw0uib3U2sYhhswgZrp5TcDZ59Fz04vP2sP8AHwgWmaOhmAiIiIiIiIiIiIiIiIiPzAtqwTTJ6bRHp+saX64QmBTB0dT6CPG7sOFjJjYSpbs+xPqFyVfoSvM44ysW8ED9/c0fLkbyuWp+QzbUEKeSfL7NYaBtzdO5zHh0bj7fbDHnw8nLm/fyT39WvH13uO8v76TL7KOIrVc0Sfrqzm483ZfLw5m17tWjGxTwRD4gNwPhOKKimv4tWVGbyzLpNqC2n4Nl6uPDsqjlGdgjAMBSdEREQulZebM+/e25Nn56ewNesEbVq4clefcO7r165ZnSHE18OFF27pxIRuoUyea3/ycm7hae5/fytD4wOYOjqe4AaeCL5h3zEmz01if0HJFe+rtKKamYvTmLM9l+cnJNI5zPfKG7SoqtrGu+sz+fMXGZRW2D/rjZerE08Mi+Zn14Xj2MxCr4ZhcFuPMEYkBrEq/QhlFdXcENWGQJ/zp3Y3ppGdgiiv6szjn+284O/opglPfL4TFycHRncOvuA+TNNk3o5cZi5K45idADjUBO4fuCGSh2+6tMC9YRjc0r1mocgfl1lbKPLW2gMsScpj2ph4hsQHWj7W1WD9vgKmzE22/LgxvmsIk0fG0rqFaz13JmJNkwmaG4ZxIzXh8luBs0v9z4bLzz47nQT+C7xnmuaGBm9SRERERERERERERERERJq8k6WV/HF5Oh9vzrYUpA7xdWfG2Hhujv1+MmanUF8+e7APC3fl8cKSNA7ZCXpX2UzeXnuAud/m8tjgKH7aM+yKJlMeKjzN1AUpfJFqf7I6QGyQN89PSKSLnYCSg4PBwGh/Bkb7k3WshP9szOLTLTkUlVVZ7m3zgeNsPnCcAG9X7uwVTmQbT15Ymk5uof3zuBtGzQTWJ4bG1GkgX0RE5FrUwd+Ljx7ojXnmF57mvHirV7tWLH64P2+u2c9rq/ZQXlX7xN/lKYdZu6eA3zXQRPDC0gpmL0njv1sPWqqPDvDizuva8s+v99ldMJiaV8S4f6xjYp8IHh8ShZdb/f6OlHTwJE/P3UVybpGl+hGJNYsxA7ybVjD7Unm6OjHmIgHtpmJCt1DKKm1Mmpt0wettJjz66Q5cnRzOC2sfKChhyrwk1u09ZulY3cNbMnt8ItGBXpfdb0vPmoUit3SvWSiScbj2hSKHTpbxyw+2MTgugGlj4glp4IUiDe3YqXJmLalZTGJFhJ8HM8clcn3H1vXcmciladSguWEYHakJl/8caHv2Yn4YLq8GVgDvAQtM0yxv6D5FREREREREREREpOnJO3maOdtz2XvkFNGBXoztEkyQz9X9AZWIiNTONE0W7DzEc4vSKDhl/2NFRweDX1zfjkcHdcTD5fyPTg3DYEznYAbHBvCvb/bzz6/3cbqy9omPx0sqmDIvmf9szOLZUXH07XBpIYFLnS7p7uzI40MuL2AV7ufJ5JFxPDY4mvk7cnl3fabl6e8Ah4vKeWVlhuX6mEAvZk9IpFvblpfUp4iIiNSuOQfMz+Xi5MBvBnZgdKdgnpmfzNcZR2utLzlnIvhsCwvuLsfZ3y9nLEy1NCHa1cmBh2/uyC9viMTZ0YFbuofy5xUZvLv+ALWd9MU04d31mSxNzmPa6HiGJQTW+f16qryKl1fs5r31mbX2ctaFFmNK/bvzuraUV1UzfWHqBa+vtpn830ff8q+7uzMg2p/yqmre+Ho/f1u9lwo7CzQAvN2ceHpELD/pEYZDHU2n7xnRikW/7c9ba2sWipRV1t7HF6mHWbe3gN8NiuLefvW/UKShmabJZ9sOMntJGoWllXbrnR0NHrqxPb8e2AE3Z+uT5UUaSmNPNN/ND0PlZxnATuB94EPTNI80dGMiIiIiIiIiIiIi0jRdLID34vLdDIsPZGLfCHpGtLxqPmgXERFrso6VMGVeMmv2FFiq7xLmy+zxicQFe9utdXdx5JFBHbm9Zyh/XJrOvB2H7G6Tnl/MnW9tYkhcAJNGxBLR2tPuNjtzCpk0N4mUQ9amSw6K9Wf62IQrngTo7uLIT3u15Sc9w9iadYL31meyLDmfKisJJCv7d3bkd4M7cm+/djhfZSESERERqXtt/Tx4996eLEnKZ/rCFI4U176AMDWviPH/WMfPrwvniWHReNfRRPDsY6VMnpdk+ffLfh38mDUu8Qe/97VwdeLZ0XFM6BbC03OSSMo9Wes+DheV89CH27k5xp/pY+MJbelxRbfhrBUp+UxdkGJ3ujqAg8GZxZhReLo2drzw2nRvv3aUVdr447L0C15fUW3jVx9s4w/DYvjPpiz2Hy2xtN+xXYKZMjKONl6uddkuULNQ5NcDvl8o8tXu2heKlFZU10z7/jaX2eMT6HqVLEbde6SYSXOT2XzguKX6Xu1aMXt8Ah38L3+yvEh9ayrPBGffoTgMfAS8Z5rmhc//ICIiIiIiIiIiIiLXrB05hUyak0Rq3vkBvGqbyeKkPBYn5REX5M3EvuGM7RKiSUAiIle5iiobb66pmZxXbmGCn5erE08Oi+bO68JxvMQJfkE+7rz6067c3TeC6QtT2ZlTaHebFamH+Wr3Ue7tF8H/3dQBrwsEn4rLKnlp+W7e35iFaSHbHejtxrQx8QyND6jThVWGYdAzohU9I1pxuKiMjzZl89HmbI7aCXfV5qYYf6aPiSesVd2EpEREROTaYBgGIzsF0T+qNS9b+D3JNOGDjVksS8nn2VFxjOoUdNm/J1VW23h77QFeXZlhdzIzQCtPF6aMjGV815CLHjMhxId5v+nH+xsyeWn5bkrsnLlmVfoR1u87xmODr2zic97J00xbkMLylMOW6juF+jB7fCIJIT6XdTypOw8NaE9ZZTV/WbXngteXV9mYsejCU89/LNzPg5njEujfsU1dtnhBYa08+Pc9PVmaXLNQ5HBR7a8l0vKKmPD6en52XVueGBqDj3vdLBRpaGWV1fx99V7++fU+Kqvtv6hr6eHMpBGx3No9VMMypMkzTCvvVNTXwQ3DxvcTzauBNKCqAQ5tmqbZvQGOI3XAMIx4IPns18nJycTHxzdiR9e2oqIiVq9e/d3XAwcOxNvb/qQPERERaV70nC8iInL10/O9NDdFZZWWPlj+MV8PZ37asy139Qm/4mmvIiLN0dX+nL8l8ziT5iSx58gpS/UjOwUxdVQc/t5uV3xsm81k/s5cXliabjc8cVbrFi78fkg0t/UIw9HBwDRNywEMqJkuObFvBI8PiaZFA02XrKiysSwlnw82ZLIl84Tl7QK8XZk2Op5hCYEKToiINICr/Tlf5FLP/HJDVBueGxtPuJ/9s8qca0dOIU/9bxfp+cWW6m/tHsqkEbG08nSxfIxLDX/HBnlf8sTnapvJBxsyeWlFBqfK7cfxPF0c+f3QaO7uE3HJizGl/pimyQvL0nnj6/2Xtb2zo8GDN7bnNwM7NMoghuKySl5ekcH7GzKxcrKk1i1ceWZULGM6Bzer1xDr9hYweW4SmcdKLdVfzuPGWXq+vzalpKSQkJBw7kUJpmmmNNTxm8pEcwAH4Gx6uL4eJc6G2hsvXS8iIiIiIiIiIiIilp0N4E1bYP9U2RdSWFrJP7/ex7++2cfguAAm9o2gT6Rfs/qwSkREzldYWsELS9P5ZEuOpfqwVu48NzaBAdH+ddaDg4PB+K6hDI0P5J9f7eONb/bbnahecKqCp+Yk8cHGLH57Uwf+u/UgX6YfsXS8hBBvnh/ficTQhp0u6eLkwJjOwYzpHEzKoZN8sCGLeTtyLzrd0zBgYp8IHh8SdcHp7SIiIiKXo3OYL/N/04/3N2Tx8gr7E8G/yTjKkFe+4bc3deCXN7THxan2ieCnyqt4aflu3tuQaWmBe4SfB7PHJ9K3Q+tLuRlAzVly3rirB1+kHmbq/GQOnSyrtf7sxOe7eofz+6HReNv5HSvl0EkmzUli58GTlvoZEhfA9LHxBPlogX5TYxgGTw2LobzSxrvrMy9p214RrZg9IYEO/l7105wFXm7OTBsTz4RuIUyam0Rybu0LRQpOlfPIJzv4bOtBnhuXQLvWl7ZQpKEdO1XOrMVpzPk211J9ZGtPZo5PoG/7S3/cEGlMTSVo/uOnZwXBRURERERERERERK5xOcdLeXZ+Mqt3H73ifdlMWJ5ymOUph4kO8GJi3wjGdQ3Gw6WpvE0uIiJWmKbJvB25zFyUxrGSCrv1Tg4GD9wQycM3dcTdpX4m+Hm4OPHYkGhu7xnGC0vTWbQrz+42KYeKePA/2y3t39PFkceHRHN3n3CcHGsPSNW3+GAfXrilE08Nj+GzrQf5YGMW2cdLz7nem9njE+kc5tt4TYqIiMhVy8nRgfuub8fwxECmL0hlWUp+rfXlVTZeWpHBvB2HmDUugesi/S5Ytzwln6nzU8gvqj3wDTW/Xz54Y3v+76YrnxA9OC6Avu39eOWLDN5Zd6DWic+mCe9vyGJZcj5TR8czIvH8s8aUVlTx6so9vL32ANUWxkcHersxfWw8Q+MDr+h2SP0yDINnR8VRVlltaaGtr4czk4bHcmv3UByayHT6TqG+zP/N9by/IZOXLUzZX7u3gKGvfMNDA9rz0ID2jTKNvTamafLZtoPMXpJGYWml3XoXRwd+M7ADDw6IxNWpad0WESuawjvoTePRTERERERERERERESahMpqG2+vPcCrKzMuOi31XIaBpWljZ+0+XMykuUm8sDSNn/QM467eEbT187iCjkVEmraiiprHSq9mPlz6QEEJU+YlsW7vMUv13cNbMmt8AjGBDXMa8dCWHvztzm5M7HucGQtTScq1NkGyNkPjA5g2pulNl/T1cOGBGyK57/p2bMs6QcbhYqIDvejetmWTCbOIiIjI1SvIx51/3tWdVWmHeXZ+CrmFp2ut33vkFD/510Zu6x7K0yNiaeXpAkD+yTKmLkhmecphS8ftHt6S5yckEhVQdxOiPV2dmDIqjnFdQ5g81/4U8iPF5fzmo+0MjG7DjLEJhLWqeT9jdfoRpsxLtvt/AeBgwMS+ETw+JJoWrk0hPij2ODgYzBqfSHmVjbm1TM+e0C2EySNi8Wvh2oDdWePoYHBvv3YMTwhi+sIUlibXvlCkotrGX1btYf6OXJ4bl0D/jm0aqNPa7Tt6iklzkth04Lil+r7t/Zg5LoHINi3quTOR+tPYzxTtGvn4IiIiIiIiIiIiItKEbMs6weS5SaTnF1uqH54QyLOj49idX8x76zMvafp5UVkVb645wFtrD3BzjD8T+0ZwfYfW500EExFprjYfOM5zC5NJOlTzkWBEC5OWHYu4Ia5hgtd1pbyqmn99vZ+/rt5LRZX9BUjebk48NTyWn/YMa5TQc8+IVsz/TT8+336QF5fv5mhx+SXvI9jHjeljExgcF1APHdYdRweDXu1a0atdq8ZuRURERK5BN8cG0Ke9H39ZtYe31tif4v3ZtoOsTDvM0yNiKaus5k/LdtudrAzg5erEH4bHcGevtvX2+2VCiA9zft2P/2zM4sXl9vtavfsog1/5mt/e1JHUQ0UsTrJ/Vh2oOQPN8xMS6RTqWwddS0NydDB48dZOVFTZzru/27X2ZNa4BPp2aN1I3VkX6OPG6z/vzpfpNQtFDp6ofXFE5rFS7np7M2M6BzNlVCz+Xm4N1OkPlVdV84/V+3j9q31UVNt/XdrK04UpI2MZ3zVE7zVKs9eoQXPTNLMa8/giIiIiIiIiIiIi0jScPF3Jn5al89HmbEvTyUN83ZkxNp6bY2sCeEE+7gyI9iezoIT3N2Tx2dYcii18WAw109BXph1hZdoR2rfxZGLfCCZ0C9VULxFptgpLK3h+STqfbv3hadUzTxnc/f5O7uh1nD8Mi8HXw6WROrRu84HjTJqbxN4jpyzVj+0SzJSRcbTxatwJfg4OBrf3CGNEYhB/X72Xt9ccsBRGcDDgvn7t+N3gKDz1PCQiIiJil4eLE08PrwlzTpqTxPbswlrrT5RW8uTnuyzvf0RiIFNHxxPgXf/hVkcHg4l9IxgaH8iMRSksSap94nNZpY0Xl++2tG93Z0ceHxLFPX0jcHJ0qIt2pRE4OTrw2h1d6RHRkkW78qiymYzuFMTPe4fj5uzY2O1dkptiAugT2frMQpH9VNlZKLJg5yFWpx/hiWHR/Oy6cBwbcFHxhn3HmDwvif1HSyzV394jlKeHx9LSs+m/5haxwjAv5XyiIo3AMIx4IPns18nJycTHxzdiR9e2oqIiVq9e/d3XAwcOxNu7eU0+EREREfv0nC8iInL10/O9NBWmabJwVx4zFqZScMr+xFdHB4NfXN+ORwd1xMPl4gG8kvIq5mw/yHsbsiyHE8/l5erELd1Dmdg3gnatPS95exGRxmCaJnO/zWXW4jSOlVTUWuvn6cKUUbGM69I0p6sVllbwwtJ0PtmSY78YCPfzYGYTOp36j2UfK2X2kjSWpVw8LNQ51IdZ4xNJCPFpwM5ERORqodf5ImCzmXy6NYfnl6RRVGZt8fnFBPu4MWNsAoMa8Qwzq9JqJj7nFtY+8dmem2P8mT42ntCWHnXUmUjdyjhczOS5SWzJPGGpvlOoD7Mb4LXTiZIKZi9J47NtBy3VR7bxZPb4RHpH+tVbT3q+vzalpKSQkJBw7kUJpmmmNNTxtQxeRERERERERERERBpF1rESpsxLZs2eAkv1XcJ8mT0+kbhg+x+eeLo6cVefCH7eO5x1e4/x7vpMVqUftjQtHaC4vIp312fy7vpMBkS3YWLfCG7s2KbeTpEtInKl9h89xZR5yazfd8xS/bGSCn736U4+23qQmeMSiGzTop47tMY0TebvOMRzi1LthuUBnB0NfnVDe/7vpg5NeoJfWz8P/nlXdzbsO8aMRamk5RV9d10LVyeeGBrNz3s37FQ+ERERkauNg4PBHb3aMjgugFmL05j7be6l78OAe/q24/EhjX+GmZtjA+jT3o9XV+7h7bUHqLYz8fnH/L1cmT4mnmEJgU1ycanIWVEBXnz6yz58vv0gzy9J40RpZa31uw6eZMzf1nJ3nwgeHxKFl5tznfZzdhH3zMVpHLfwutTF0YHfDOzAgwMicXVquq9LRS6XguYiIiIiIiIiIiIi0qAqqmy8uWY/r63aQ3mVzW69l6sTTw6L5s7LOC2uYRhc37E113dsTc7xUj7YmMUnm7MvabLZV7uP8tXuo7Rr7clDA9pza7dQBc5FpMkor6rmn1/t5++r91JRbf8x9cfW7zvGsFfX8NCA9jw0oH2jhrUvdQFSr4hWzBqfQMcAr3rurO70ae/Hot9ez5o9R9l84Djhfh4Mig3Ar4VrY7cmIiIictVo3cKVV37ShVu7hzJlXjIHCkosbRcX5M0LtyTSKdS3fhu8BB4uTkwaUXMmoklzk9iRU2h3G8OAu3qH8/uh0XjXcQBXpL44OBjc3iOMQbEBvLA0jf9urX2KuM2Ed9dnsiQpj6mj4xmRWDcLKg4UlDBlXhLr9lpbxN07shWzxifSvoks3hapDwqai4iIiIiIiIiIiEiD2ZJ5nMlzk8g4fMpS/chOQUwdFYe/t9sVHzuslQeTRsTyu0FRzNuRy7vrMtl9uNjy9gcKSnjy8118tjWHWeMTiWpGwUYRuTpt2HeMyfOS2H/UWnDmYiqqbfxl1R4W7jzEzHEJ9O3Quo46tHj8S1yA5OPuzKQRMdzWPaxZLvxxdDAYEO3PgGj/xm5FRERE5KrWr0Nrlj7Sn39+vY9/rN530YWZ7s6OPDY4inv7ReDk6NDAXVoTF+zN/x7qy0ebsvjTst0Ul194AX1MoBezJyTSrW3LBu5QpG608nThT7d25rYeYZbeQzxSXM5vPtrOjVFtmDE2nnA/z8s6bkWVjTe+3sdfV++lwsLr0pYezkweGcct3UJ0xgC56iloLiIiIiIiIiIiIiL1rrC0gheWpvPJlhxL9aEt3XluXAID6yGE5+7iyB292vLTnmFs3H+c99ZnsiI1H6tnoN6SeYIRf1nDr26M5Lc3dWzU6b8icm06XlLBrMVp/G977RPezmrtamICx8pr//B7f0EJd761ifFdQ5g8MpbWDTBle1vWcSbNSba88Gdcl2CmjIprkN5EREREpPlzc3bk0UFRjOkczJR5yazf98MpxQOi2/Dc2ATCWnk0UofWOToY3NUngiHxgcxYlMriXXnfXefm7MCjg6L4xfXtcG6iYXmRS9EzohWLH+7P22sP8OrKDMoqaw9/f51xlCGvfMNvb+rAAzdE4upk/f26LZnHeXpOEnuPWBuMcUu3UCaPjKWVp4vlY4g0Z40SNDcMI940zZTGOPbFNMWeRERERERERERERJo70zSZtyOXmYvSOFZSYbfeycHg/v6RPHJzR9xd6jfAbRgGfdr70ae9H7mFp/nPxiw+2ZzNidJKu9tW2Uz+vnofC3fm8dy4BG6MalOvvYqIQM1j6ufbDjJ7SZqlxypnR4N7e4fSsfIAAF/kOvBlniNVdlbWzP02l1Vph3lqeCw/7Vk/U8NPnq7kT8vS+XBTtqX6cD8PZo5LoH9HPd6KiIiIyKWLbNOCD++/ji9SD7MkKQ/DMBjdOYiB0f7NbhpxgLcbf7+zGw/0L+Sr3Udo4erE6M7BBNTB2eBEmhJnRwcevLE9IxODmLYghVXpR2qtL6+y8dKKDOZ+m8vMcYn0ae9Xa/3J0kqeX5pmeTBGu9aezGqEs4CJNLbGmmi+wzCM/wDTTNPMaqQeADAMIxyYAdwJODdmLyIiIiIiIiIiIiJXkwMFJUyZl8S6vcfsFwPdw1sya3wCMYHe9dzZ+UJ83fnDsBgeubkjC3Yc4t31maTmFdndLvt4KRPf2czozsE8MyoWfy99qCsi9WPvkVNMnpvEpgPHLdX3ateK2eMT8HczWb26Jmg+sq2Nh0b04PkvMtmcWft+isqqmDQ3if9tP1inj82mabJoVx7TF6ZScKrcbr2Tg6EzSIiIiIhInTAMgyHxgQyJD2zsVupElzBfuoT5NnYbIvUurJUHb03swYrUw0xbkELeybJa6/cdLeGONzcyoWsIky5wti7TNFmw8xDPLUql4JT9wRjOjgYP3dieXw/soNelck1qrKC5I3A38DPDMD4FXjRNc1dDNmAYRmfgCeA2Gu//QUREREREREREROQ7ybknWZ6Sz8nTlQyIbsOAKP96mSJb38qrqvnX1/v56+q9VFTVflpbAG83p3qdmnsp3Jwdub1nGLf1CGVr1gneXZ/JsuR8qu1M/1248xBf7T7Ck8Ni+Fmvto1+O0Tk6lFWWc0/Vu/l9a/3UVld+2MRgK+HM5NGxHJb91AMw6Co6IeLZtq38eTTX/Xms20Hed7CZPRtWScY9dpaftG/HY/c3BEPl8v/WC3neCnPzE/mq91HLdV3D2/J8xMSiQrwuuxjioiIiIiISPNnGAZD4wO5vkNrXl2ZwTvrMu2+Xzfn21xWpR/hD8NivnvfMftYKVPmJ/NNhrXXpb0iWjF7QgId/PW6VK5djRWwrgBczhz/TuBOwzA2Av8CPjdNs6Q+DmoYhidwO3A/0PvsxWf+rn2Zi4iIiIiIiIiIiEg9KSyt4Pkl6Xy69fvTtL6/IYse4S2ZNT6R6MDm80HG5gPHmTQ3ib1HTlmqH9slmCkj42jj5Wq/uAEZhkHPiFb0jGjFgYISnpmXzNq9BbVuU1xWxTPzkpmz/SCzxycSG9Twk9lF5Oqybm8BU+Ylc6DA2kdnt3QLZdKIGPxa1P6YahgGt/cIY1BsALOXpPH5toO11lfZTN74ej+Ldubx3Lh4booJsHwbACqrbby99gCvrsygrNL+AiQvNyeebiILkERERERERKTp8HR1YvLIOCZ0C2Xy3CS2ZxfWWn/ydCWT5ibx+bYcru/Qmje+2U+5hcEYPu7OTBoRw23d9bpUpLGC5vHAK8Aovg969z7z53XDML4A5gOrTdM8cCUHMgyjHTAQGAcMAs6+s3buT/9C4HdXchwRERERERERERGRS2WaJnO/zWXW4jSOlZx/mtatWScY+doa7u8fySM3d8TdpememvVCYfnahPt58NzYBG6IalPPnV25dq09+eAXvSyfUvfb7EJG/XUt91/fjkcGXdn0X7mwymobG/YdY2vWCRKCvenfsU2T/vmoTfaxUj7dms3+oyV08G/BmM7BdNT05mtewalyZi1OY+63uZbqI1t7MnN8An3bt76k47TydOGl2zpza/eaD+j3Ha090J5beJr73t3KsPhApo6JI8jH3e4xvs0+wdNzkkjPL7bU0+jOwTwzKhZ/LzdL9SIiIiIiInLtiQ3y5vMH+/Lp1hxeWJrOydO1n61re3ah3VD6WeO6BDNlVByt7SziFrlWNMq726Zp7gPGGIYxGJgJ9KQm+G0CbtQE0EcBGIaRC2wFkoHdwEEgDzgFnD6znRvgBQQBoUA0kAh0A0LOOfTZY5wNmW8BJpumubKebqqIiIiIiIiIiIjIBe0/eoop85JZv+9YrXVVNpN/fr2PRbsOMWPspU+RrW+maTJ/R00A+0Jh+R9zdjT41Q3t+b+bOuDm3HyCwYZhMLZLCAOi/HlhWTofb86utb7aZvLGN/tZtCuPGWPjuTm2ad1vzdmWzONMmpPEnnOm5gf7uDFtTDxD4gMbsbNLU15VzRtf7+dvq/dScc4krb9+uZfu4S35Sc8wRnUK0kKFa4zNZvLfrTk8b+FDcgAXRwd+PbA9Dw1oj6vT5T+m9o70Y8kj/Xnzm/389cu9dqe7LUvJZ82eozw+JJqJfSNwvMB0t6KySl5avpsPNmZh1n42cwBCW7rz3LgEBkb7X+7NEBERERERkWuIg4PBHb3aMjiu5mxdc7ZbW6x9MW1beTBzXPMYjCHSkBr13UnTNL8AvjAMYzTwB6DvOVeffUcqlJqw+NjLOMS572qZ51y2DnjBNM3Fl7FPERERERERERERkctWXlXNP7/az99X76Wi2v5pWs86eKJmiuzwhECmjo4n0KfxJ71mHSthyrxk1uwpsFTfM6Ils8cnNutpzT4ezjw/IZFbuoUweW4yuw/XPqE3t/A0v3ivad1vzVVhaQUvLE3nky3nT80/dLKMX36wjUGxAUwbE0doS49G6NC6jfuP1To9elvWCbZlnWDGwlRGdw7mpz3D6BTqg2HoVM1Xsz2Hi5k0N4ktmScs1feJ9GPm+ATat2lRJ8d3dXLk/27qyOjOwZYe20sqqpmxKJU53x5k9vhEOoX6AjULkJYl5zNtYQqHi8rtHtfRweD+/u149OaoZntmAhEREREREWk8rVu48ufbu3Bb9zCmzLN/tq4fc3Iw+OUNkTx8c8dmNRhDpKE0iTEYpmkuBBYahtEN+A1wC+B99upzSq2+g2qe8/fZbYqBz4HXTdPcdmUdi4iIiIiIiIiIiFy6DfuOMXleEvsv8cOOcy1NzmfNngIeHxLF3X0uPEW2vlVU2XhzzX5eW7XH7tRbAB93ZyaNiOG27mE4NEK/9aFHRCsWPXw9b605wF9WZVBWWfv/w9n77fdDorirke635so0TebtyGXmojS7U/NXph1m3d4CHh3Ukfuub4ezo0MDdWnNiZIKZi9J47NtBy3Vnyqv4uPN2Xy8OZuYQC9+2jOMcV1D8PVwqedOpSGVVVbz1y/38K9v9lNZbX/0dytPF6aMjGV815B6WXwQ7ufJ+/f1YuGuPGYsTKXgVO1h8eTcIsb+fR139w7nzuvCeXF5OivTjlg6VpcwX56fkEhskLf9YhEREREREZFa9Gnvx9JHbrik9y27h9cMxogObL6DMUTqW5MImp9lmuZ24BeGYfwaGAmMAoYAwRcq/9HXxgX+fQhYASwGFpmmaX9sgoiIiIiIiIiISC3Kq6rZd6SEcD8PPF2b1Ntr0oQdPxMu/dxiuNSeU+VVTF+Yypztucwan/DdFNmGsC3rOJPm2J/kfdb4riFMHhlL6xau9dxZw3N2dOChAe0Z1SmIZ+Yn89Xuo7XWnyqvYtrCVOZ8m8vs8YkkhPg0UKfN14GCEqbMS2Ld3mOWtzldWc3zS9O/+/noEdGqHju0xjRN/rc9l9lL0jhuJyx/Men5xUxbmMrspekMTwjkJz3D6N3O76pZvHGt+ibjKFPmJZN9vNRS/e09Qnl6eCwtPet3sYFhGIzpHMyNUW14aflu/rMpC7OWDLxpwnsbsnhvQ5al/Xu5OvHksGjuvC5cC29ERERERESkzrg4OfCbgR0Y3SmYZ+Yn83XGhd+v83Jz4qnhMdzRs63eWxGxo0l+EnYmED7nzB8Mw4gEugOdgHZAGOADnD33ZSlQCOQAmcAuYJtpmvsbsm8REREREREREbl6nZ02+v76LIrLqzAMuDkmgHv7RdC3vV+9TBSV5s80TT7fdpDZS9I4UVppt97Z0eDBG9vTvk0LZi5OsztFNin3JOP+vo67+0Tw+JAovNyc66r185w8Xckfl6Xz0aZsS/Xhfh7MHJdA/45t6q2npiKslQf/vqcnS5LymbYwhaPFtd9vuw6eZMzf1nJP33Y8NiSKFlq0cp7yqmre+Ho/f1u9lwoL06cuZPfhYm795wZ+0iOMp4bH1Hsw92L2HT3F5LlJbNx/vE72V1FlY/6OQ8zfcYhwPw9u7xHGbd1D8fd2q5P9S8M4UlzGzEVpLNh5yFJ9B/8WzBqXwHWRfvXc2Q/5uDvz3LgEJnQLYfLcZFLziq54nyMSA5k6Op4Afc+KiIiIiIhIPWnr58G79/ZkaXI+0xemcLjo+/frRnUK4tnRcfh76XWpiBXN4t3rM4Hx/cBnjd2LiIiIiIiIiIhce77OOMozP5o2apqwMu0wK9MO09G/BXf3jWBC1xBNOZfv7D1SEy7ddMBauLRXRCtmT0igg3/NaVoHxvjz4vJ0PtyUXesUWZsJ767PZElSHlNHxzMiMbBOFz6YpsmiXXlMX5hqN/gO4ORQE5b/v5s64ObsWGd9NHWGYTCyUxD9o1rz0vLdfLCx9um/NhPeWXeApcl5TBsTz9D4wIZrtonbuP8Yk+Ymsf9oSZ3s79OtOaxIzWfSiFhu7R7aYAuDyiqref2rfbz+1T4qqu2H5V2dHCyd0vlcWcdKeXH5bv78RQYDo/35ac8wBkS3wcnR4XLblnpms5l8vCWbF5amU1xWZbfexcmBh2/qwC9vaI+LU+Pdr13btmTB//Xj3fWZ/PmLDEorqi95HyG+7swYG8/NsQH10KGIiIiIiIjIDxmGwYjEIG6K8WdL5nGyjpVyfYfWRLT2bOzWRJoVfeolIiIiIiIiIiJyEVanje45copn5iXzp2Xp3NY9jLv7hOvN6mtYWWU1//hqH69/tZfK6lqSxmf4ejgzaXhNAPbc07T6uDszc1wit3QLZdLcZNLsTJE9UlzObz7azoDoNjw3NoGwVh611luRc7yUKfMuforZH+se3pLnJyQSFeB1xcdurrzdnJkxNoEJ3UJ5ek6S3fst72QZv/pgG4PjApg+Jp5gX/cG6rTpOV5SwfNL0vhs20FL9eF+Hvx6QHs+3JTNroMna609UVrJE5/v4rNtB5k1LoGO9fw9un5fAVPmJrO/wFpYfkLXECaNjOVESQWfbsnhf9sPWjoLwlnVNvO7xU/+Xq7c1iOU23uEEe6n56KmJD2/iElzktieXWipvn/H1jw3NqHJ/E7h5OjA/f0jGZ4YxPQFKaxIPWxpOwcDfnF9Ox4dFKUFeSIiIiIiItLg3Jwd6d+xDf07NnYnIs2T3s0RERERERERERH5EZvN5KPN2fxxmbVpo2cVl1XxzroD/Hv9AQZEtWFi3whu6NjmB+Fhubqt21vAlHnJHLAaLu0WwuQRsfi1cL1oTde2LVl4CVNkv9p9lMGvfM3DN3fkgf6ROF/GZOPKahtvrz3AqyszKKu0P2HZy82Jp4fH8tOeYfp+P6NLmO9399vLKzI4XVn7/fZF6mHW7S3gscFR3NM34pqaSG2aJv/bnsusxamWwtXOjjVT838zsGZq/q3dw/hwUxYvLttNcXntj9mbDxxn+F/W8MsbIvntTR1xd6nbqfvHTpUza0kac7bnWqpv19qTmeMS6NehNQCtW7gyZVQcTwyLZmXqET7Zks3avQW1Tsf/sSPF5fx99T7+vnoffdv78dNebRkSF3BNnWGgqSmtqOIvq/bw9poDVNns35mtW7jwzKg4xnQObrAJ/JcixNedf93dgy9SDzN1fjKHTpZdtLZTqA+zxyeSEOLTgB2KiIiIiIiIiEhdUdBcRERERERERETkHJc6bfRCTBNW7z7K6t1HiWztyV19wrm1eyhebs5116g0KQWnypm1OI2531oLl0aeCZf2PRMutedSp8iWVdr407LdzPs2l1njE+kZ0crScQC+zT7B03OSSM8vtlQ/unMwz4yKxd/LzfIxrhXn3m9T5yezMu1IrfWlFdXMXFwTUv7LT7vU+9TtpmDf0VNMnpvExv3HLdX3imjF7AkJdPD//v/G0cHg7j4RDIsP5LnFaSy0cxaKKpvJP77ax4Kdh5gxNp6bYgKu6DZATVj+s60Hmb00jUILYXkXRwceHNCeXw9of8EAuKuTIyM7BTGyUxA5x0v5bNtBPtuaQ14tgd4LWb/vGOv3HcPXw5nxXUP4Sc8wYgK9L2kfcmVWpx/hmfnJHDxx2lL9Hb3a8tSwGHw8mv7vDIPjAujb3o9XV2bwzrpMqs8J0Xu6OPL7odHc3ScCRy1AEhERERERERFptgzzUsZgiDQCwzDigeSzXycnJxMfH9+IHV3bioqKWL169XdfDxw4EG9vfTAhIiJytdFzvoiIXIvOTht9a82BHwSl6oqniyO3dg/l7r4RtG/Tos73f6n0fF83bDaTz7blMHtJOidPWwuXPjSgPQ9dJFxqlZUpsuf6SY8wnh4Rg6+Hy0VrisoqeWn5bj7YmGVpenJYK3eeG5vAgGh/q21f00zTZHnKYaYtSCG/yP795u3mxNv39LykRQLNSVllNa9/tY/Xv9pHRbX9qfm+Hs5MGh7Lrd1D7U7N/ybjKM/MTybrWKmlXobFBzJ1TBxBPu6W6n9s75FiJs1NZvMBa2H569q1Ytb4RDr4X9pzQbXN5Js9R/l0cw4r0w5bmox9IZ3DfPnVDZEMTwhsktOyrxaHi8qYsTCVxUl5luqjA7yYNT6BHvXwM98Qz/lpeUW8uy6TrOMlJAT78Iv+7S77Z0pEREQuj17ni4iIXP30fH9tSklJISEh4dyLEkzTTGmo42uiuYiIiIiIiIiIXPMuddrobd1DKSqr5IvUw1jN+ZVUVPPehize25BF/46tuadvBAOj/e0GJqXp2nO4mElzk9iSecJSfe/ImnBpXSw0qG2K7IV8ujWHL9IOM3lELBO6hfwgXGqaJsuS85m2MIXDReV2j+3oYPBA/0geubkj7i6XH5a/1hiGwbCEQK7v2JqXV+zmvfWZtT5+FJVV8fO3NvH3O7sxKO7KJ243Jev3FjB5XjIHCkos1U/oFsLkEbH4tXC1VH9DVBuWP3qD5SD7spR81uw5yu8GR3FP3wicHB0sHaesspq/fbmXN77ZR2W1/SeDlh7OTBpRE5a/nIC3o4PBwGh/Bkb7c7S4nDnbD/Lplhz2W/x/PGtnTiG//nA7vSNbMX1MAtGBV//k/IZUbTP5cFMWLy7bTXF5ld16N2cHHrk5ivv7t8PZ4vdeUxQb5M0fb+3U2G2IiIiIiIiIiEgdU9BcRERERERERESuWZc6bTQqoAWzxyd+N2304IlS/rMxm0+2ZFNYan+a9Vlr9hSwZk8BbVt5cHefcG7rEYaPu/Nl3QZpeJcTLp0yMu68gPeV8nR1YvLIOMZ3DWXS3CR25BTWWn+8pILHP9vJ59sOMnN8Au3btCC38DTPzktmVfoRS8fsEubL8xMSiQ3SlJzL1cLViamj47mlWyhPz0kiKffkRWvLq2z86j/beH5CIrf3CGvALuvHsVPlzFqcxpxvcy3VR7b2ZOa4BPp2aH3Jx3JzduR3g6MY2yWYZ+Yns27vsVrrSyqqmbk4jf9tz2XW+AS6tW1Za/2aPUeZMs/61PRbu4cyaUQsrTwvflaBS9HGy5Vf3dieX94QyZbME3yyJZvFu/Ior7I/Hf6sjfuPM+K1NdzdJ5xHB0XpeagOpBw6yaS5yey083h81o1RbXhubAJt/TzqtzEREREREREREZHLpKC5iIiIiIiIiIhccy5n2ujDN3fk/usjcXH6ftpoaEsPnhoew6ODOjJ/Ry7vrs8iLa/Ich/Zx0uZuTiNl1dkMKFbCBP7RhAVoMmyTdk3GUd5Zr71cOlt3UN5ug7DpRcSF+zNnIf68tHmbP64LJ3istq/pzfsP8bwV9cwqlMQy1LyKa2otnsML1cnnhwWzZ3XheOoKfx1IiHEh3m/6ccHGzJ5aUUGpy7yWFRtM3ny810cL6ngVzdE1ulihYZis5l8ti2H55emW1qU4+LowEMD2vPQgPa4OV/Z1PzINi34zy+uY8HOQzy3KJWCUxW11qflFXHL6+u5o1db/jA0Bh+PH4avjxaXM3NxKvN3HLJ4fE9mjUukT3u/y74NtTEMg17tWtGrXSumjo5nwc5DfLolm+Rca89F1TaTf6/LZMGOQ/xhWAy3dg/VmTYuQ0l5leUzTEDNQoGpo+MYmRjULH+mRURERERERETk2qGguYiIiIiIiIiIXFNSDp1k0pwkdh68+BThc90Q1YaZdqaNujk78pOebbm9RxhbMk/w3vpMlqXkWwqbAZyurObDTdl8uCmbvu39mNg3gkGxAQr0NiGXGi5t38aTWeMT6R1ZP+HSH3NwMPh573CGxAcwc1EaC3bW3mdFtc3yVOmRiUE8OzqOAG+3umhVzuHoYHBPv3YMSwjiD//bxdcZRy9a+8LSdAqKy5k0IrZZBYH3HC5m8txkNmcet1TfO7IVs8Yn0r5NizrrwTAMxnYJYUCUPy+uSOfDTdmYtTw8myZ8tCmbFSn5TB4Zy7guIZgmfLIlhxeWplFkZzEHgIuTA78Z0IEHB0Ti6nRlYXmrfNyduat3OHf1Dic59ySfbslh3o5cu4tPAI6VVPDk/3bx4eZspo+Jp0uYb/03fJVYmXqYZ+cnc+hkmd1aw4CfXxfO74dGa4K8iIiIiIiIiIg0Cwqai4iIiIiIiIjINeFypo0+OyqOUZ2sTxs9d7Js3snTfLgxm483Z3OspPYJuudav+8Y6/cdI8TXnbv6hHNHz7bnTdSVhmOzmXy8JZs/Lk23HC797cAO/PLGhguXnsvfy43X7ujKrd1DL2ny+oWE+LozY2w8N8cG1GGHciGBPm68PbEHT89J4rNtBy9a99baAxwrqeBPt3bC2dHhonVNQVllNX/7ci9vfLOPymr7j7ktPZyZMjKOCd1C6m3Cs4+HMzPHJXJLt1Amz00m1c4ZKApOVfC7T3fy3y0Hqai2sS3rhKXj9G3vx8xxCUTWYVj+UiWE+JAQ4sOkEbEsTc7jky05bD5gP+y/M6eQcX9fx096hPHEsGhat3BtgG6bp7yTp5m2IIXlKYct1ccEejF7QiLd2ras585ERERERERERETqjoLmIiIiIiIiIiJy1bvUaaM/u64tTwyNuaJpo0E+7vx+aDT/d1MHFu3K4731mSTlWpuiDpBbeJoXlqbzj9V7+cPwGO7o2bZZTTG+GqTnFzFpThLbswst1V/foTXPjUugXWvP+m3Mghui2rD80Rv4x+q9vP61taDvWY4OBvf1i+DRQVF4uuot5Ibi5OjAn27thF8LV/759b6L1s39NpfjJRW8/vNueLg0zftnzZ6jTJlnfaHDbd1DeXpELK08Xeq5sxpd27Zkwf/1470NWfx5xW5KKqprrd+w/5il/bbydGHKyFjGd62/sPylcndxZEK3UCZ0CyUtr4gZC1Mt3Z5Pt+awJDmPxwZHcVfvcE7KlmEAAPsMSURBVJya+MKGhlRtM3l/QyYvLbf/vQPg7uzI7wZ35N5+7Zr8AhEREREREREREZEfa5rvQouIiIiIiIiIiNSBpjBt1M3ZkVu7h3JLtxC2Zxfy3vpMliTlUWVhqjpAUVkVk+cm879tB5k1PpHYIO86600u7HRFNX9ZtYe31uy3dD/5ebrwzKg4xnYJbjLhUqj53ntsSDRjuoQweW4SmyxMM+4U6sPs8YkkhPg0QIfyY4Zh8NTwGFq3cGHm4rSL1n2dcZQ739zEv+/pScsGCmdbcbS4nJmLU5m/45Cl+vZtPJk1PpHekX713Nn5nBwd+MX17RiRGMiMhaksTc6/ov39tGcYTw2Pwdej6dwfPxYb5M1HD1zH4qQ8Zi1OI8/O4qvisiqmL0zlk805TBsTT5/2DX8/NTVJB08yaW6S5YVjN8X4M2NsPKEtPeq5MxERERERERERkfqhoLmIiIiIiIiIiFx1qm0m763P5GULk2qhYaaNGoZB9/CWdA9vyZSRsXy4KZsPN2VTcKrc0vbbswsZ9de13H99Ox4Z1LHJTjJu7lbvPsIz85I5eOK0pfo7eoXxh2FNO1zawb8Fn/yyN//bnsvsJWkcL6k4r8bTxZEnhkZzV58IHDU5v9Hd3z8SvxYuPPHZrosudtiRU8htb2zg/ft6Eezr3sAd/pDNZvLJlhxeWJpGUVmV3XoXJwd+O7ADv7wxElcnxwbo8OKCfNx5/efdWZ1+hGfmW//ZP6uDfwtmj0+kV7tW9dRh3TIMg1Gdgrkpxp9/rN7Hv77ZT0W1rdZtdh8u5o43NzKqUxCTR8YS5NO432+N4VR5FS+v2M176zOxsk4swNuVaaPjGZYQ2KQWIImIiIiIiIiIiFwqfRolIiIiIiIiIiJXlaSDJ3l67i6Sc4ss1d8U48/0MfGEtWq4aaP+3m78bnAUvxnYgSVJeby7PpMdOYV2t6u2mbzxzX4W7cpjxth4bo4NqP9mrxGHi8qYsTCVxUl5luo7+rdg9oREekY0n3Dprd1DuTnGnxeWpvPZtpzvwpJD4wOYNib+mgyPNmXju4bi6+HCr/+zndOVF14ws/fIKW55fT3v39eLjgFeDdxhjd35xUyam8S2rBOW6vt18GPmuETatfas584uzcAYf76IvJG/rd7Dv77ZT2V17WliVycHHr65Iw/0j8TFqX4WKNUnDxcnfj80mlu7h/LcolRWpR+xu82iXXmsSjvC/93Ugfv7t2v0RQINwTRNlqccZtqCFPKLap8AD2AYMLFPBI8PicLLzbkBOhQREREREREREalfCpqLiIiIiIiIiMhVoTlOG3VxcmBc1xDGdQ1hZ04h763PZNGuPLvTZXMLT/OL97YqIFwHqm0mH23K4k/LdlNcbn8Sc3MPl7b0dOGPt3bi0cEd2Z1fTLifZ5ML/Mr3Bkb78+ED13Hfu1soLK28YE3eyTJue2MDb0/sSffwlg3W2+mKal77cg9vfrP/olPXz+Xn6cIzo+IY2yW4yU54dndx5ImhMYzrEsLkeclsPnD8gnX9O7bmubEJRFwFPzsRrT15+56erE4/wvSFKWQeK621/nRlNS8u381nW3N4dnQcN8VcvQuecgtPM3V+CivTDluqjw/2Zvb4RDqH+dZvYyIiIiIiIiIiIg1IQXMREREREREREWnWrpZpo53DfPnzT7rw9IhYPtiQyRvf7Ke8qvbA+fKUw6zdU8BjQ6KZ2CccJ8fmF3xuTCmHTjJpbjI7LUyTB7ghqg3PjY0n3K/5h0uDfNy1QKGZ6Na2JZ8/2Ie73t5M3skLP8YVllbys7c28vrPujMwxr/ee1q9+wjPzk8m5/hpS/V39ArjD8Ni8PVwqefO6kbHAC8+/WVv/rc9lxeWplFwqgIAfy9XJo+MZUznphuWv1wDY/zp28GPt9ce4K+r9l50iv5ZmcdKue/drdwU48+zo+KuitD9WVXVNt5dn8mfv8igtKL2/wcADxdHHhscxT19I/Q8LCIiIiIiIiIiVx0FzUVEREREREREpNmqmTaazMq0I5bq44K8mT0hkS5NeNpoGy9XHhsSzS3dQ3lmfgrfZByttb6koprnFqUyZ/tBTVK1qKS8ildXZvDOukyqLUxibt3ClWdHxzG6U9BVFy6V5qGDvxf/e6gvd7+zmb1HTl2wpqzSxv3vb+XFWzsxoVtovfRxpKiM6YtSWbwrz1J9R/8WzJ6QSM+IVvXST30yDINbu4cyvmsIO3IKcTCgU6gvjg5X72OAq5Mjvx7QgfFdQ5i9JJ2FOw/Z3ebL9COs3VPAAze04zcDO+Dh0rw/dtqRU8ikOUmk5hVZqh8UG8D0sfGE+GrhjoiIiIiIiIiIXJ2a9zt+IiIiIiIiIiJyTboWpo2G+3ny3r09WbQrjxmLUjlaXF5rfcqhIsb9Yx139Q7n90Oj8W5C09qbkpWph5m6IIXcQvuTmA0D7uzVlieHxeDjrv9PaVzBvu589qs+3PfeFr7NLrxgTbXN5LH/7uTYqQoeuCGyzo5ts5l8uDmbPy1Np7i8ym69q5MDD9/ckQf6R+Li1Dwecy/G0cGge3jLxm6jQQX5uPPXO7pyZ6+2TF+YQnp+ca31FdU2/r56H3O25zJpRCyjmuGinKKySl5evpv3N2Zh2l9/RKC3G9PHxjM0PrD+mxMREREREREREWlETTpobhjGBuAN4FPTNK2dg1NERERERERERK5qlzptdHBcANPGNM9po4ZhMLpzMDdGt+Gl5bv5wE4AzjTh/Q1ZLEvO59nRcYxMbH5hv/qSd/I00xeksiwl31J9TKAXsyck0q3ttRUwlaatpacLH95/Hb/+cDtf7b742Q5mLUmj4FQ5Tw2PueLHgNRDRUyam8SOnEJL9TdEteG5sfGE+3le0XGl8fVp78ei317PfzZm8ecvMigqq32RQd7JMn778bd8uCmL6WMSiA70aqBOL59pmixNzmfaghSO2FnQBeBgwD192/HYkChauDbpj9hERERERERERETqRFN/F+w6oBfwqmEYHwFvmaa5vZF7EhERERERERGRRlBUVmkpbH1WkI8b08ZcHdNGvd2cmTE2gQndQi2F7I8Ul/N/H33LZ1EHeW5sAm39PBqo06an2mby/oZMXlq+mxIL0+/dnB343aAo7ru+Hc7NZPq9XFs8XJx48+4e/OHzXcz5NveidW98s59jJRW8MCHxss7kUFpRxasr9/D22gNU2+w/6LZu4cqzo+MY3QynWcvFOTk6cE+/dozuHMyLy3fz6dYcu8/BG/cfZ8Rra/j5dW351Y3tCW6iC71yjpfy7PxkVteyaONciSE+PD8hkYQQn3ruTEREREREREREpOlo6kHzs7yBXwG/MgxjB/Av4CPTNGs/X6OIiIiIiIiIiDR7lzNtdGLfCB4fEn3VTRvtEubLgv/rx7vrM/nzFxmU2glOf51xlMGvfM3DN3fkgf6RuDhdW8Hp5NyTTJqbxK6DJy3VD4xuw4yxCYS1unaD+dI8ODs68NJtnfFr4cKbaw5ctO7zbQc5UVLB3+7shruLo+X9r0o7zLPzU8gttHai0Z9d15Ynh8Xg4+5s+RjSvPi1cOWFWzpxR6+2PLsghZ12JtxX20ze25DFfzZlMywhkPv6taNbW98msQihstrGO2sP8MrKDMoqbXbrPV0ceXxINBP7RuDo0Pj9i4iIiIiIiIiINKTm8EmbAZjn/Lsr8A/gJcMw/kvNlPMNjdWciIiIiIiIiIjUH00bPZ+TowP3949kRGIQ0xaksCL1cK315VU2Xly+m3nf5jJrfCK92rVqoE4bz6nyKv68IoN31x/AwiBm/L1cmTYmnuEJgU0iBClihYODweSRcbRu4crzS9MvWrcq/Qh3vb2Jtyf2xMej9iB4/skypi9MYWlyvqUeYgK9mDU+ke7hLS+pd2m+Oof5Mvehvny+/SB/WpZOwamKWuurbSaLd+WxeFcencN8ua9fBCMSgxrtjBHbsk4weW4S6fnW5hgNiw9k6pg4gnya5lR2ERERERERERGR+tbUg+adgV8CPwN8z1xmUhM49wTuAe4xDCONminnH5imeaLh2xQRERERERERq06UVODr4awwp9TqcqaNPjE0mrv6XDvTRoN93fnX3T34IvUw0xbYnzy858gpbn9jA7d1D2XSiFiszzZuXpan1Ey/zztZZrfWMODu3uE8PjQabzdNYpbm6Vc3tqeVpwtPzUmi+iIrK7ZmneC2N9bz/n3XEejjdt711TaTDzZk8tKKDE6VV9k9ppuzA48OiuIX17drtMCwNB4HB4Pbe4QxND6Qv6zcw3sbMi/6vXeunTmFPPLJDmYvSePuPhHc0astrTxdGqBjOHm6kj8tS+ejzdmYFhYghfi6M31MPIPiAuq/ORERERERERERkSasSQfNTdNMAn5rGMYTwG3AL4Abzl595m8DiANeAV4wDGMO8KZpml83dL8iIiIiIiIicmHVNpOPNmXx73WZ7C8owd/LlWdGxTG6c3BjtyZNkKaNXprBcQH0be/HX1bt4e21B+yG/T7bdpCVaYd57KZ2eJk1YeurQW7haabOT2FlWu0T3s+KC/Jm9oREuoT51m9jIg3gth5htPRw4Tcfbae86sKLczIOn+KW19fz3n296ODf4rvLk3NPMmluErsOnrR0rIHRbZgxNoGwVh510rs0Xz7uzjw7Oo6f9Axj2oIUNuw/Zmm7w0XlvLh8N6+t2sOEbiHc268dUQFe9dKjaZos2pXH9IWpFJwqt1vv6GBwX78IHh0Uhadrk/4ITUREREREREREpEE0i3fJTNMsAz4APjAMIwp4ALgL8D9bQk3g3A24A7jDMIy9wJvAe6ZpWju3soiIiIiIiIjUuZRDJ5k0N5mdOYXfXXakuJyHP/kWN2dHBmtSpJyhaaOXz9PViUkjYhnfNYRJc5P4Nruw1voTpZU8syiDDt6O3NaumsBmnBetqrbx7vpM/vxFBqUV1XbrPVwceWxwFPf0jcBJk5jlKjIoLoAP77+O+97dQlHZhaeS5xae5rZ/ruff9/aio38L/vxFBv9edwALw6jx93Jl2ph4hicE6qwk8gPRgV589MB1LEnKZ9biVA5ZOKMEQHmVjY835/Dx5hz6d2zNff3acWNUGxzq6Mwk2cdKmTI/mW8yrH1E1DnMl9njE4gP9qmT44uIiIiIiIiIiFwNmkXQ/FymaWYATxiG8TQwDrgfGERN0PzcKecdgT8CMw3DWAC8ZZrmiobvWEREREREROTaVFJexasrM3hnXeYFJyybJkyem8R1ka3wdnNuhA6lqbicaaO/uL4dj9zcUdNGfyQ2yJv/PdiXj7dk88el6RcNm561t8jgT7scuTnYpE9lNd4N1Gdd2ZlTyNNzkkjNK7JUPyg2gOlj4wnxvTan38vVr0dEKz57sC93v7OJw0UXfjw9UVrJnW9uxMfdmTwLgWDDgLt6h/P7odF6vpaLMgyDkZ2CuCnGn8+35fDv9ZnsP1piefs1ewpYs6eAyNae3NMvglu6hV72c3xFlY031+zntVV7Ljrh/1xerk48OSyaO68Lx7GOQu4iIiIiIiIiIiJXi2b7SZxpmlXA58DnhmG0pSZwfg8QeraEmsC5C3ALcIthGNnAW8C/TdM81OBNi4iIiIiIiFwjVqUd5tn5KeQWnq617khxOX9cms6s8YkN1Jk0NZo2WvccHAx+dl04Q+ICmbk4lfk7an8brNo0WJFrsOuNbTw9IpYxnYOb/LTiorJKXl6+m/c3Zlmafh/o7cb0sfEMjQ+s/+ZEGll0oBf/e6gvd7+z+aJB39KKaktnAIgN8ub5CYl0CfOt4y7lauXu4shdfSL42XXhfL3nKO+sPcCaPQWWt99fUMKz81N4cflu7ujVlrv7hBPa0vppN7ZmHmfS3CQyDp+yVD8yMYhnR8cR4O1m+RgiIiIiIiIiIiLXkmYbND+XaZrZwLOGYUwDhgMPACP4/vad/WQsHJgBTDUMYynwJrDENE37Iy1EREREREREGklVtY30/GKCfd1p5enS2O3UKv9kGdMWpLAsJd/yNh9uymZc1xB6RrSqx86kqdG00frXxsuVv/y0K7d1D2PKvCQyj5XWWp9fVM4jn+zgvfWZPDMqjq5tWzZQp9aZpsnS5HymL0y56LTmczkYcE/fdjw2JIoWmn4v15DQlh58/mBf7v33ZnYePHnJ27s7O/L4kCju6RuBk6NDPXQoVzsHB4OB0f4MjPZnz+Fi/r0+kznbD1JWae3jmOKyKv71zX7eWrOfYQmB3NuvHT3CW150IVRhaQV/XJbOx5tzLO0/tKU7z41NYGCMv+XbJCIiIiIiIiIici26qj5dORMYXwwsNgwjkJoJ5/cDkdRMOIea0LkTMOrMn1zDMP4J/Ms0TetjNZqBM8H7qVewi/dM07ynbroRERERERGRS1VVbePd9Zn846t9HC+pAKBnREvu6duOofEBTSr4VW0zeX9DJi+vyOBUedUlb//U/3ax5JH+uDo51kN30tRc8rTRTkE8O0rTRi/X9R1bs+zRG/jHV/v451f7qKiuPeS3PbuQ8f9Yz/iuITw5LJogH/cG6rR2OcdLmboghS/Tj1iqTwzx4fkJiSSEaPq9XJtaebrw0QO9efA/2y5povSgWH+mj00gxLdp/OxL89cxwIvZ4xN5Ykg0H2/J5v31WeQXlVna1mbCkqR8liTlkxjiw33XRzAyMRgXp5rfg03TZP6OQzy3KJVjZ35fro2jg8ED/SN55OaOuLvo904RERERERERERF7rqqg+blM08w3DGM7sJOaoPl3V53zbwMIBZ4DnjYM46/Ac6Zp1n5ebxEREREREZF6tjOnkElzk0g5VPSDy7dknmBL5gmCfdy4q08EP+0ZRstGnnKenHuSSXOT2HUZE1PP2ne0hL+v3sdjg6PqsDNpajRttPG4OTvy2OAoxnQOZsq8JDbuP253m7nf5rI0OY8Hb2zPr25o32iBvMpqG++sPcCrK/dwurLabr2niyO/HxrN3X0iNP1ernmerk68PbEnv/9sJwt2Hqq1NtDbjWlj4hkaH3DRqdEiV6Klpwu/HtCBB/pHsjQ5n7fXHmBnTqHl7ZNyT/K7T3cye0k6d/cOp39UG15avpu1e60tpOja1pfZ4xOJDfK+zFsgIiIiIiIiIiJy7bnqguaGYQQD9535E37m4h+Hy89lnrnME/gDcLthGGNM00yt715FREREREREfqy4rJKXlu/m/Y1ZmObF6w6dLOOPy9J5dWUG47uGcE+/CGICGzY0c6q8ij+vyODd9Qew1dLrWf5ertzWI5S/r953wetf/2ovozoFERXgVcedSmMzTZMFO2umjRacsj9t1MnB4H5NG60XHfxb8PEDvZn7bS7PLUzhxOnaz0BQVmnj1ZV7+HRLDn8YFsOYzsE4NGB4e3v2CSbNSSI9v9hS/bD4QKaOiWsyU9hFmgIXJwde/UkXWnm68O76zPOudzBgYt8IHh8STQvXq+4jA2mCnB0dGNM5mDGdg9mefYJ31h5gaXI+1VZ+oQSOFpfz8hcZvPxFhqV6Lzcnnhoewx092zboc5iIiIiIiIiIiMjV4Kp419gwDAdgJPAAMAxw5PtAuXnOvzOBN4F/A7Fn6scDrufURQIrDcNINE3zWAPdhIbye2omvFtV+4gbERERERERqTOmabI0OZ/pC1M4XFRuebvyKhufbMnhky059In0495+EdwcG1DvU3yXp+QzbUEKeSfL7NYaBtzdO5zHh0bj7eZM7onTzNtx/kvOymqTp+ck8dmv+igEdBXJLChhyrxky9NGu7X1ZfaExAZfOHEtMQyDCd1C6RnizuSP17M238B23myGH8o7Wcajn+7g3fWZPDs6jm5tW9ZrjydPV/Li8nQ+3JRd66Kbs0J83Zk+Jp5BcQH12pdIc+XgYDB1dBwhvu68tGI35VU2ADqF+jBrXCKJoT6N3KFcq7q1bUm3O1tyqPA072/I4uPN2Zw8XVln+x/TOZgpo2Lx93Krs32KiIiIiIiIiIhcS5p10NwwjAjgfuAeIOjsxdSExs8Gx23AIuANYLlpfvfRVD6w2jAMP+B3Z/64ndkm4MzXUxridjSgbaZpftXYTYiIiIiIiMgP5RwvZeqCFL5MP3JF+9mw/xgb9h8jrJU7E/tEcFuPMHzcneuoyxqHCk8zdUEKX6QetlQfF+TN7AmJdAnz/e6yZ0bF8XXGUU6Unh8i2pZ1gg83ZXFXn4g66lgaS3lVNf/6ej9/Xb2XijOBxtpo2mjD83F35pZ2NvoFwLwsB9IKHexusyOnkAn/WM/YLsH8YVgMwb51OzncNE0W7cpjxqJUjhbbX3Tj6GBwX78IHh0UhacmMYvUyjAMHrghktGdg0k5dJLWLVzpFOqDYegxVxpfsK87Tw2P4eGbOzBney7/XneAfUdLLnt/bVt58Ny4BG6MalOHXYqIiIiIiIiIiFx7mt2nL4ZhOFEzhfwB4CZqguHnTi/nzNe5wFvAm6ZpXnQy95mp5VMMw/gQWA94n9l+NFdf0FxERERERESakMpqG++sPcCrK/dwurK6zvabc/w0Mxen8fKKDG7pHsI9fdvRwb/FFe2zqtrGu+sz+fMXGZRW2O/Vw8WRxwZHcU/fCJwcfxhe9WvhyjOj4njsvxc+6dYfl+1mUFwAQT51G2CVhrNp/zEmz0tm75FTluo1bbRxBXrAg7E2nNom8srqLEv32/wdh1ieks8vb2jPgzdG4uFy5W8zZh8r5Zn5yXydcdRSfecwX2aPTyA+WJOYRS5FoI8bgT56vJWmycPFiZ/3DufOXm1Zs7eAd9YesPy8AODkYPCrGyP57U0dcXN2rMdORURERERERERErg3NJmhuGEYUNeHyu4HWZy/mh9PLTWAZNdPLF5mmaX9c1hmmaaYZhvE3YPKZiyLrqHURERERERGR82zPPsGkOUmk5xdbqh8aH4C3mzPzdx6yNB0a4HRlNf/ZmM1/NmbTv2Nr7uvXjhuj2lzytOidOYVMmptEyqEiS/WDYv2ZPjaBkFomHY/vGsLcb3NZs6fgvOtOlVfx7PwU/nVXd01ZbWZOlFTw/NI0/rv1oKX6tq08mDkugRs0bbRJ6N++FUM6teXjzdn8+YsMCi9w1oFzlVXaeG3VHj7dks0fhsUwrkvIZU2jr6y28eaa/fxl5R7KrUy/d3XiyWHR3HldOI6afi8iclVycDC4MaoNN0a1Ye+RYv69LpP/bT9IWeXFnyd6RrRk1vhEogK8GrBTERERERERERGRq1uTDpobhuEK3EZNwPz6sxef+fvc6eX5wDvUTC/PuoJDbj/n3x5XsB8RERERERGRCzp5upIXl6fz4aZsTNN+fYivO9PHxDMoLgCAp4bH8MmWHN7fkMnhonLLx12zp4A1ewqI8PNgYt8Ibu0eipebc63bFJdV8tLy3by/MctSr4HebkwbE8/Q+AC7AXHDMJg1LpEhr359wcDQF6mHWZacz/DEIPsHlkZnmiZztucya0kax0sq7NZr2mjT5ezowN19IhjbOYS/rNrD+xsyqbLV/gBwuKicx/67k/fWZ/Ls6Di6h7eyfLytmceZNDeJjMPWpt+PTAzi2dFxBHhrGrOIyLWig78Xs8Yn8sTQaD7eXPN7cN7Jsu+u93F3ZtKIGG7rHnZZC55ERERERERERETk4pp00JyaALn3mX//eHo5wCrgn8B80zSr6uB4Z0ezWfj4XERERERERMQ60zRZtCuPGYtSOVpsPyDu6GBwX78IHh0Uhafr9y/f/Vq48puBHfjlDZEsS87n3+sOsD270HIfmcdKmb4wlZdXZHBr91Du6RtBRGvP83pdlpzPtIUplsLsDgZM7BvB40OiaeFq/a2Gtn4ePDY4itlL0i94/bMLUujboTU+7rUH4qVx7T96islzk9mw/5ilek0bbR58PJx5dnQcP+vdltmL01iVfsTuNjsPnuSW1zcwqlMQTw2PIbTlxec4nCyt5IVl6Xy8OdtSPyG+7swcl8DAGH/Lt0FERK4uvh4uPDSgPff3b8fXu4+SfOgkwT7uDIkPwNfDpbHbExERERERERERuSo19aC5Dz8MfRtAAfAu8C/TNPfW03HPhtpFRERERERErlj2sVKmzE/mm4yjluo7h/kye3wC8cE+F61xdnRgdOdgRncOZmdOIe+uz2TRrkNUVlt7OXuqvIp312fy3oZMBkb7c2+/CK7v0JqDJ04zdUEKX1oIlQIkhvgwe3wiiaEX77U29/Vrx4Kdh0jOLTrvuqPF5bywNJ3nJyRe1r6lfpVXVfP6V/v4x+p9VFSfP5X+xzRttHlq36YFb9/Tk28yjjJzcaqlyeOLduXxRephHugfyUMD2v9gsYxpmizYeYjnFqVScMr+9HtHB4P7+7fjkZs74uHS1N/KFBGRhuDs6MCguIDvzvgjIiIiIiIiIiIi9ac5fDpz9pPHNdRML/+faZr2P4W6PGuBdvW07ybBMAxXIBLwAyqBY8Ah0zRLG7UxERERERGRq1BltY031+znLyv3UF5lP4jr5erEE8Oi+dl14TheQhC3c5gvr/ykC0+PiOHDjdl8uCmbglP2J5EDmCZ8mX6EL9OPENnGk7zCMk5XVtvdztPFkd8PjebuPhGX1OuPOTk68MKEToz9+zqqbeeH5D/enM24LsFcF+l32ceQurd+XwFT5iazv6DEUv2EriFMGhlL6xau9dyZ1JcbotqwpH1/Pt6Sw59X7OZEaWWt9eVVNv62ei+fbs3hyaHR3NItlOzjpTwzP5k1ewosHbNrW19mj08kNsjbfrGIiIiIiIiIiIiIiIjUuaYeND8JvAe8YZpmWn0fzDTNciCrvo/TiP5OTcjc7UeXVxmGsQ1YCvzDNE1rI/Yug2EY/kCbS9ys/blfnDp1iqKi8yfdScMoKSmp9WsRERG5Oug5X+TKfZtzkhlL97KvwNq63iExrXlycCT+Xq6UnCq+rGO6Ab+4LpC7uvuzIr2AD7fkkpJnf/rwWfuPWvtZvznKjz8MaU+g9+X3eq62XgY/7xnMe5tyL3j9k5/v5PP7u+Hq5HDFx5Irc7ykgpe/PMDCJGsT79u2dGPKsA70btcSbOUUFVlbACEN43Ke78fGtWRgZA/+tS6bj7YcouoCC0TOdbS4nCc+38U/v9pLzonTVFg464KXqyOPDmzHLV0DcTDQ+0AiIiJXSK/xRURErg16zhcREbn66fn+2nTqlPXPe+uDYZrWTqndGAzDcDNNs6yx+2iuDMOYBky9xM1OAy8B003TtD/CrmF6+oHXXnuNtm3b1k1DIiIiIiIidaykEhZmO7DhiLVQdCtXk1vb2YhvWfevz00TMk/B13kO7DxmYOPyJ48DtHSp6TWhVd33WlENL+x05Fj5hXscEmJjZFv7U+GlfpgmbDpqMD/LgdIq+99HjobJoBCTwSE2nLU+4Kp15DQsyHIg6UTd3cnd/GyMj7Dh7VJnuxQREREREREREREREWm2srOzefjhh8+9KME0zZSGOn6TnWhuGEZX4C7D+O7Dy49M09zaiC1dK9yBZ4D+hmGMNk2zcZdCiIiIiIiINBOmCdsKDOZmOnDKQhDXAZOBwSbDQm24ONZPT4YB7bygnZeNwnJYd9iBdYcNSiz09+NebwwyGR5mw7WeenVxhNsjbbyeduEDrDxk0LU1BHvUz/Hl4vJL4b/7HdlXbO37poO3ye2R1QS413Nj0uj83eH+GBu7T5rMzXQgr/TyF7P4uZrcFmkj1rfpDsUQERERERERERERERG51jTZoDlwI/AoYALVwPON2k3zZQIbgMXAZiANOA7YAD+gGzAKmEjNWdbPGgB8YhjG2PqYbC4iIiIiInI1OXoa/nvAgYyT1qb6RrSoCeKGeNZzY+fwdYWRbW0MDoHtxwy+yXMg10IoNPxMr6EN0GuMr0nPNja2HD3//9FmGny6z5FHEqpxuLLB7GJRRTV8kevAqkMG1ab9/3RPJ5Ox4TZ6tTExdB9dU6J9TJ7sVM3GIwaLs60ttjnLwTC5OdhkSEj9LboRERERERERERERERGRy2OYZtOcEmQYxlPA7DNfZpqmGdmY/TRHhmH0BQpM08ywUBsKfAL0+9FVD5um+dc67MkfaHOJm7UH5p/9YuPGjcTGxtZVS3KJSkpK2Lx583df9+rVC0/PBkzHiIiISIPQc76INRVVNt7deJB/rcumotr+62svV0ceHdiOW7oG4tDISVzTNNmWU8RHW3L5MuMYth+138LVkYdvjOC2bkE4NmCy+0RpJePe2MqJ01UXvP7pIe25o0dwg/Vzrdp44AQzl+0l+0SZpfqxnQJ47KZ2tPRwrufOpC7Vx/N9cVkVb67P4T+bc6n68QPLj3QN9eaZ4R3o0Ea/Y4iIiNQnvcYXERG5Nug5X0RE5Oqn5/trU1paGr179z73ogTTNFMa6vhNeaJ5/pm/TeBIYzbSXJmmuf4Sag8ahjEI+BLoc85VUwzDeNs0zdI66ukIl3h/Gj8KX7Ro0QJvb++6aEfqgKenp+4PERGRa4Ce80XOt2n/MSbNTWLf0RJL9WM6BzNlVCz+Xm72ixvITT4+3JQQxsETpXywMYs1GQWcPF3JoFh/fj2wAwHeDd+rtzdMHZPAo5/uuOD1r32Vyehu4QT7ujdsY9eIglPlzFyUyrwdhyzVR7bxZNa4RPq096vnzqQh1MXzvbc3TBvXinuu78DzS9NYnnL4/Bo3JyaNiOX2HmE46BQFIiIiDU6v8UVERK4Nes4XERG5+un5/trQokWLRj1+Uw6an/uJZqtG6+IaYppmmWEYdwNpfP+94Q8MAeY1Vl8iIiIiIiJNyYmSCmYvSeOzbQct1bdt5cFz4xK4MepST+7UcEJbevD08FieHt7YndQY2yWYOd/m8k3G0fOuK6mo5tn5ybx5d4/zFibL5bPZTD7dmsPzS9IoKrvwNPlzuTg58JsBHXhwQCSuTo4N0KE0NxGtPXnjrh5s2HeM11btYVvWCTxcHRmeEMhjg6Np4+Xa2C2KiIiIiIiIiIiIiIiIHU05aL4OKAU8gHaGYbQyTfN4I/d01TNNc69hGAuACedcrKC5iIiIiIhc80zTZM72XGYtSeN4SYXdeicHg1/dGMlvb+qIm7OCuJfCMAxmjUtgyCvfcLqy+rzrV6YdYUlSPiM7BTVCdz9UUWXDxcmhsdu4IhmHi5k0J4mtWScs1fdt78fMcQlEtmnc6QnSPPRp70ef9n6UVVbj7OiAoyaYi4iIiIiIiIiIiIiINBtNNmhummbJmcDzTwEH4C7gL43b1TVjFT8Mmkc3ViMiIiIiIiJNwb6jp5gyN5kN+49Zqu8R3pLZExKJCvCq586uXmGtPHh8SBQzF6dd8PqpC1K4vkNrfDycG7gzqKq28cHGLD7dksOeI6foHOrDPf3aMbpTULOasn66opq/frmHf32znyqbabfez9OFKaNiGdclpFndTmkatOBGRERERERERERERESk+WmyQfMznqMm8OwMTDUMY4lpmnsauadrQc6Pvm6653cXERERERGpR2WV1bz+1T5e/2ofFdU2u/U+7s48PTyG23uE4aCpvVfsnr4RzN9xiKTck+ddV3CqnOeXpvHCLZ0atKddBwt5ek4SKYeKvrtse3Yh27O/5eNN2UwfG98sFhh8tfsIz8xPJuf4aUv1P+0ZxlPDY/D1cKnnzkRERERERERERERERESkqWjSQXPTNNMMw/gF8B7gC3xlGMZE0zRXNm5nV73KH33d8OPhREREREREGtn6fQVMmZvM/oISS/Xju4YweWQsrVu41nNn1w4nRwdeuCWRMX9bR/UFJm5/siWHcV1D6B3pV++9FJdV8vKKDN7fkMnFhn9v2H+MEX9Zw739InhkUBQtXJve2y5HisqYsSiVRbvyLNV39G/BrPGJ9GrXqp47ExEREREREREREREREZGmpul94vkjpml+aBjGceAdIAhYbhjGWuBjYDNwACgyTbO6Edu82gT+6OujjdKFiIiIiIhIIzh2qpxZS9KYsz3XUn2EnwczxyVyfcfW9dzZtSk+2IcH+kfyz6/3XfD6p+cksfSR/rg5O9bL8U3TZFlyPtMWpnC4qNxufZXN5M01B5i/4xCTR8YypnMwhtH40+1tNpOPNmfzx2XpFJdV2a13dXLg4Zs78kD/SFycHBqgQxERERERERERERERERFpapp00NwwjB+Hx03AAK4/8+fc2kvZtWmaZpO+7Y3s+h99ndMoXYiIiIiIiDQg0zT5bOtBZi9No7D0xyd6Op+zo8FDN7bn1wM71FvIWWo8OqgjS5PzyDpWet51BwpK+OuXe3hiaEydH/fgiVKmzk9hVfqRS972SHE5j3yyg482ZTNjbALRgV513p9VaXlFTJqbxLfZhZbq+3dszcxxCYT7edZvYyIiIiIiIiIiIiIiIiLSpDX1sPW56XHzR383/jiwq5BhGL7ALT+6eFUjtCIiIiIiItJg9h4pZtLcZDYfOG6pvle7Vswen0AH/8YLD19L3JwdmT0+kZ+9temC17/x9X5GdQomNsi7To5XWW3j3+sO8MoXezhdeWUnUNt04DgjXlvDPX0jeHRQR7zcnOukRytKK6r4y8o9vLX2ANU202596xauPDOq6UxhFxEREREREREREREREZHG1dSD5vD9FPO6+ITz7L7k4l4CfM/5ugJY2jitiIiIiIiI1K+yymr+vnov//x6H5XV9oO4LT2cmTQillu7hyqI28D6dWjNrd1D+XzbwfOuq7KZPDUniTkP9cXR4crul+3ZJ5g0J4n0/GJL9W1beZB9/PxJ6+eqtpm8vfYAC3YeYvKIWMZ2qf8g9+r0I0yZl0xu4WlL9Xde15Y/DI3Bx6PhgvAiIiIiIiIiIiIiIiIi0rQ19aD5N3w/wVwugWEYTwFfmKa5zWK9E/BH4Bc/uuqfpmnm1XV/IiIiIiIijW3tngKmzEsi81jtIeGzbu0eyqQRsbTydKnnzuRiJo+IZXX6EY6VVJx33c6cQt7fkMm9/dpd1r6Lyip5cdlu/rMpC9PCOxEhvu5MHxPPzbH+LNqVx8zFqRwuKq91m6PF5Tz66Q4+2pzNjLHxxATWzQT2cx0uKmP6whSWJOVbqo8O8GL2hAS6h7eq815EREREREREREREREREpHlr0kFz0zQHNHYPzdgw4HnDMNYD/wVWAemmaVadW2QYhg8wAngS6PKjfewDZtR/qyIiIiIiIg2n4FQ5MxelMm/HIUv1ka09mTk+gb7tW9dzZ2JPS08Xnh0dxyOf7Ljg9S8u382Q+EBCfN0t79M0TRYn5TF9YSpHi2sPigM4Ohjc1y+CRwdF4ela87bK6M7BDIzx56+r9vD22gNU2WpPqm8+cJyRr61lYp8IHh3cEW+3K58iXm0z+c/GLF5cvptT5VV2692cHXh0UBS/uL4dzo4OV3x8EREREREREREREREREbn6NOmgudSJvmf+AJQbhnEQOAlUA35ABHChT5TzgeGmaR5riCZFRERERETqm81m8unWHJ5fkkZRmf0groujA78Z2IEHB0Ti6uTYAB2KFWM6BzP321y+2n30vOtKK6p5Zl4yb0/sgWEYdveVc7yUKfOS+Trj/H1dSOcwX2aPTyA+2Oe861q4OvH0iFhu6xHKs/NTWL+v9pfT1TaTd9YdYMHOQ0weGcO4LiGWer6Q5NyTTJ6bxM6DJy3VD4huw3NjEwhr5XFZxxMRERERERERERERERGRa4OC5tcWV6C9hbolwL2maR6p535EREREREQaxO78YibPTWJr1glL9X3b+zFzXAKRbVrUc2dyqQzDYOa4BIa88g2lFdXnXf9l+hEW7cpjdOfgi+6jstrGm2v289qqPZRV2uwe08vViSeGRfOz68JxdKg9DN7B34sP77+OxUl5zFyURn5RWa31BafK+d2nO/l4Uw7Tx8YTG+Rtt5+zSsqreOWLDN5ZdwA7Q9QBaOPlyrTR8YxIDLzsULuIiIiIiIiIiIiIiIiIXDsUNL96zQLSgP5ADGBv/N4pYCnwN9M0v6nn3kRERERERBrE6YpqXvtyD29+s58qC0ncVp4uTBkZy/iulz9dWupfaEsPHh8SzXOLUi94/fSFKfTv2BpfD5fzrtuWdZxJc5LZfbjY0rFGJgbx7Og4ArzdLPdnGAajOgUzMNqfv365l7fW2P/+25x5nFF/XcvdfcL53eAovN2ca63/IvUwU+cnc+hk7UH2mn7grt7h/H5otN39ioiIiIiIiIiIiIiIiIicpaD5Vco0zS+ALwAMw/AA4oAIIAhoATgAhcAJIBVIMk3z/FFwIiIiIiIizdTXGUeZMi+JnOOnLdX/pEcYTw2PoaXn+eFkaXru6RvBgh257Dx48rzrCk5VMHtJGn+6tfN3l50sreSFZel8vDnb0v5DW7rz3NgEBsb4X3aPnq5OPDU8hlu7hzJtQQpr9xbUWl9tM/n3ukwW7szj6eExTOh2/oKHQ4WnmbYghRWphy31EBvkzezxCXRt2/Kyb4eIiIiIiIiIiIiIiIiIXJuaddDcMAwnIABoCXgBxdQEpw+bplnVmL01JaZplgJbz/wRERERERG5qh0pKmPGolQW7cqzVN/BvwWzxyfSq12reu5M6pKjg8HzEzox5m9rLzgt/L9bDzKuawh9Iv1YsPMQzy1KpeBUhaX9PtA/kkdu7oi7i72Tg1nTwb8FH/yiF0uS8pm5OJU8O1PIC06V8/hnO/lkSzbTxyQQF+xNtc3kvfWZvLxiNyUV9teJuzs78tjgKO7tF4GTo0Od3A4RERERERERERERERERubY0u6C5YRjtgfuBG4CugOsFysoNw9gOfA28ZZrmgQZsUURERERERBqBzWby4eZs/rQsneIy+2uPXZwcePimDvzyhva4OCmI2xzFBXvzyxsi+cdX+y54/dNzkmjbyoM1e2qfJH5W17a+zB6fSGyQd122CYBhGIzsFMSA6Db8bfVe3lqzn8rq8wPy59qSeYJRf13DHb3asuvgSZJyz5/efiE3x/gzfWw8oS096qJ1EREREREREREREREREblGNZuguWEYgcA/gDHA2fNGGxcpdwP6nPnzB8Mw5gH/Z5pmfn33KSIiIiIiIg0vLa+ISXOT+Da70FJ9/46teW5sAhGtPeu3Mal3D9/ckSVJeWQeKz3vuqxjpWRd4PIf83Jz4qnhMdzRsy0ODhd7q6FueLo68YdhMdzaPZRpC1LshuBtJny4KdvSvgO93Zg2Jo6h8YEYRv3eDhERERERERERERERERG5+jWLoLlhGIOBj4BWfB8uN8/8gR8Gzs8dB2ac+TMeuNEwjDtM01xZz+2KiIiIiIhIAymtqOIvK/fw1toDVNtqnw4N0LqFC8+MimNM52AFca8Sbs6OzJ6QyJ1vbrqs7cd0DmbKqFj8vdzquLPatW/Tgvfv68XS5HxmLkrl0Mmyy96XYcDEPhE8PiQKLzfnOuxSRERERERERERERERERK5lTT5obhhGP2Ae4H7mIpPvA+RVQDpQAJQAnkBrIBpw/lG9HzDPMIzBpmluaKj+RUREREREmpPjJRWsSjuMi5MDPSJaEeLrbn+jRvJl+mGemZdCbuFpS/V39GrLU8Ni8PFQEPdq07d9a27vEcp/tx60vE3bVh48Ny6BG6Pa1GNntTMMgxGJQQyIbsPfvtzLm2v2U1ltf8HEuRJCvJk9PpFOob7106SIiIiIiIiIiIiIiIiIXLOadNDcMAxP4DNqQuZnA+MAnwDvAN+Ypllxge1cgP7AL4Cf8P2Ucw/gM8MwokzTtH/ubBERERERkWtEeVU1b3y9n7+t3ktFlQ0ABwMGxQYwsW8Efdv7NZkJ4IeLypi+MIUlSfmW6qMDvJg1PoEeEa3quTNpTJNGxPJl+hEKTp33NsEPODkY/OrGSH57U0fcnB0bqLvaebg48eSwGG7pHsq0BSms2VNgdxtPF0ceGxLNxD7hODk6NECXIiIiIiIiIiIiIiIiInKtadJBc+BJIJDvQ+a5wG2maW6sbaMz4fNVwCrDMF6lJqweeubqIOAJYHo99SwiIiIiItKsbNx/jMlzk9h3tOQHl9tMWJF6mBWph+ng34KJfcKZ0C0UT9fGeSlZbTP5z8YsXly+m1PlVXbr3ZwdeOTmKO7v3w5nBXGver4eLkwdHc9vP/72ojU9I1oya3wiUQFeDdiZde3btOD9+3qxPCWfGQtTOXSy7IJ1Q+ICmDYmnuAmfMYBEREREREREREREREREWn+mnrQ/D6+D5kfA/qZppl9KTswTXOzYRj9ga2A35l93Y+C5iIiIiIico07XlLB80vS+GzbQbu1e4+c4pn5Kfxp2W5u6R7K3X3CiWzTogG6rJGce5LJc5PYefCkpfobo9rw3NgE2vp51HNn0pSM6hTEspR8Fu/K+8HlPu7OTBoRw23dw3BwaBqT+S/GMAyGJQRxQ1Qb/r56L29+c4CK6pqzDAT7uDF1TDxD4wMbuUsRERERERERERERERERuRY02aC5YRidgBBqguYm8IdLDZmfZZpmtmEYTwNvnrko2DCMTqZp7qqbbkVERERERJoP0zT53/ZcZi1O5URp5SVtW1xexbvrM3l3fSY3RLVhYp9wBkT741hP4d2S8ipe+SKDd9YdwGbar2/j5crU0XGMTAzCMJp2oFjqnmEYvPqTLvh7ubIsOZ9qm8nwhEB+e3NHWrdwbez2LomHixNPDI3hwRvbs2n/cVp6utAlzLfeftZERERERERERERERERERH6syQbNgfgzfxvAaeCTK9zfx8BrwNnzSscDCpqLiIiIiMg1Ze+RU0yZl8TG/ceveF/fZBzlm4yjtG3lwV29w7m9Rxg+Hs510GWNL1IPM3V+ModOltmtNQz4+XXh/H5oND7uddeDND/Ojg5MHR3P1NHxmKbZ7BcceLk5MyguoLHbEBEREREREREREREREZFrUFMOmvuf+dsEDpimWXolOzNNs9QwjANA3I/2LyIiIiIictUrq6zmH1/t459f7aOi2lan+84+XsqsJWm8/MVuxncN4e4+EcQGeV/2/g4VnmbaghRWpB62VB8T6MXzExLp2rblZR9Trk7NPWQuIiIiIiIiIiIiIiIiItKYmnLQ3O2cf5+uo32eOwaveZ0zW0RERERE5DKt31vA5HnJHCgosVQ/oWsIozoH8emWHL5IPYzNtHacskobH2/O4ePNOfRq14p7+kYwOC4AZ0cHS9tX20zeW5/Jyyt2U1JRbbfe3dmR3w3uyL392lk+hoiIiIiIiIiIiIiIiIiIiFjTlIPmR8/8bQBt62ifYef8u6CO9ikiIiIiItIkHTtVzqzFacz5NtdSfbvWnswal0DfDq0BuCkmgNzC0/xnYxafbM7mRGml5WNvPnCczQeOE+jtxs97t+WnvdrSusXF1/smHTzJ03N3kZxbZGn/N8X4M2NsPKEtPSz3JCIiIiIiIiIiIiIiIiIiItY15aB5zjn/bm0YxnWmaW663J0ZhnEd0Oaci7IvuzMREREREZEmzGYz+WxbDs8vTafQQjjcxdGBhwa056EB7XFzdvzBdSG+7vxhWAyP3NyRhTsP8d6GTMthcID8ojJeWpHBa6v2MqpTEHf3jaBLmO931xeXVfLyigze35BpaXJ6gLcr00bHMywhEMMwLPchIiIiIiIiIiIiIiIiIiIil6YpB83XAmXA2ZF3LwADr2B/z5/z7/Iz+xcREREREbmq7DlczOS5yWzOPG6p/rp2rZg1PpEO/i1qrXNzduS2HmHc2j2U7dmFvL8hkyVJeVRWW0iHAxXVNuZ8m8ucb3PpHOrDxL4RuDk7MmNhKvlFZXa3NwyY2CeCx4dE4eXmbOmYIiIiIiIiIiIiIiIiIiIicvmabNDcNM3ThmGsAMacuegGwzDeBh4wTdNmdT9GzYi7fwIDgLMJiOWmadpPMoiIiIiIiDQTZZXV/O3LvbzxzT5L4e+WHs5MHhnHLd1CLmkyuGEYdA9vSffwlkweGcvHm3L4cFMWR4rLLe9j58GTPPbfnZbrE0K8mT0+kU6hvpa3ERERERERERERERERERERkSvTZIPmZ0wFRgHGmT/3AF0Mw/i9aZqr7W1sGMYA4EWgGzUhcwOoBp6tn3ZFREREREQa3po9R5kyL5msY6WW6m/rHsrTI2Jp5elyRcf193LjkUEdeWhAe5an5PPe+ky2Zp24on2ey8PFkceHRDOxTzhOjg51tl8RERERERERERERERERERGxr0kHzU3T3GkYxsvAE3wfFO8KrDQMIxtYDewCCoASwBPwAzpTM8E8/MyujDPbm8DLpmkmNeDNEBERERERqRdHi8uZuTiV+TsOWapv38aTWeMT6R3pV6d9uDg5MLpzMKM7B5Oce5IPNmQxb0cu5VWWT0Z1niFxAUwbE0+wr3sddioiIiIiIiIiIiIiIiIiIiJWNemgOYBpmn8wDCMQuIuaoDjUBMfDgYm1bHr23O9nA+YG8L5pmk/VV68iIiIiIiINwWYz+WRLDi8sTaOorMpuvYuTA/83sAO/ujESVyfHeu0tIcSHP97aiaeGx/DfrTl8sDGLgydOW94+yMeN6WPiGRIfWI9dioiIiIiIiIiIiIiIiIiIiD1NPmgOYJrmRMMwtgIvAO58HziH7wPlP9iEH4bSTwNPmqb593ptVEREREREpJ7tzi9m0twktmWdsFTfr4MfM8cl0q61Zz139kMtPV341Y3tub9/JF+mH+G99Zms3Vtw0XoHA+7t147fDY6ihWuzeKkqIiIiIiIiIiIiIiIiIiJyVWs2n96bpvlXwzDmAL8B7gP8ayk/Gz4/DLwNvG6aZm49tygiIiIiIlJvTldU89qXe3jzm/1U2Uy79X6eLjwzKo6xXYIxjAutz20Yjg4Gg+MCGBwXwN4jxby/IYv/bTtISUX1dzWdQn2YPT6RhBCfRutTREREREREREREREREREREfqjZBM0BzoTFJwGTDMOIAa4DwoGWQAvgFHACyAI2mqa5u7F6FRERERERqSurdx/h2fnJ5Bw/ban+pz3DeGp4DL4eLvXc2aXp4O/FjLEJPDE0mtW7j5J9rIRubVtyXaQfjg6NF4YXERERERERERERERERERGR8zWroPm5TNNMB9Ibuw8REREREZH6cqSojOmLUlm8K89SfUf/FsyekEjPiFb13NmV8XJzZkzn4MZuQ0RERERERERERERERERERGrRbIPmIiIiIiIiVyubzeTDzdn8aWk6xeVVdutdnRx4+OaOPNA/EhcnhwboUERERERERERERERERERERK52CpqLiIiIiIg0IamHipg0N4kdOYWW6vt3bM3McQmE+3nWb2MiIiIiIiIiIiIiIiIiIiJyTVHQXEREREREpAkoraji1ZV7eHvtAaptpt361i1ceXZ0HKM7BWEYRgN0KCIiIiIiIiIiIiIiIiIiItcSBc1FREREpNEdLS6nqKySyNaezTowe7qimg37CzAMg97t/HB3cWzsli5b0qFiluQ44OVsktDSfuhZrsyqtMM8Oz+F3MLTlup/dl1bnhwWg4+7cz13JiIiIiIiIiIiIiIiIiIiIteqZhU0NwzDEegBdAXaAt6AO3CpaSTTNM1f1HF7IiIiInKJknNPMmNhKpszjwMQ1sqd3w+JZkzn4GYVOK+qtvHehiz+vGI3JRXVALRwdeLxIVHc3ScCR4fmc1tyC08zdX4KK9MOAw4ALDtoktCthB7e3o3b3FUo/2QZ0xemsDQ531J9TKAXs8Yn0j28ZT13JiIiIiIiIiIiIiIiIiIiIte6ZhE0NwzDB5gC3AW0udLdASagoLmIiIhIIzlVXsWfV2Tw7voD2M4Zlp1z/DSPfLKDz7Ye5LlxCbRr7dl4TVq062AhT89JIuVQ0Q8uP1VexfSFqfxv+0FmjUukc5hv4zRoUVW1jXfXZ/LnLzIoPROWP+tUpcHjc9JY/jt/3Jyb75T2pqTaZvLBhkxeWpHBqfIqu/Vuzg48OiiKX1zfDmdHhwboUERERERERERERERERERERK51TT5obhhGH2AuNQHzc0dBmhfeQkRERESasuUp+UxbkELeybKL1qzdW8DQV77hoQHteWhA+yYZbi4uq+TlFRm8vyHzB2H5H0vOLWLcP9ZxV+9wfj80Gm8354Zr0qKdOTVh+dS8oovWZB0/zRtf7+eRQR0bsLOrU3LuSSbNTWLXwZOW6gdGt2HG2ATCWnnUc2ciIiIiIiIiIiIiIiIiIiIi32vSQXPDMOKB5UCLMxeZfB82Ny64kYiIiIg0SYcKTzN1QQpfpB62VF9RbeMvq/Ywf0cuz41LoH/HKz2xTd0wTZPlKflMXZDC4aJyi9vA+xuyWJqczzOj4hjdKQjDaPxfZ4vKKnl5+W7e35iFaWEZ59+/2svYLsFENINJ801RSXkVf/4ig3+vO1Dr4oSz/L1cmTYmnuEJgU3i+0VERERERERERERERERERESuLU06aA78g5qQ+dkYhgGsAOYDScAxoLRxWhMRERERK6qqbby7PpM/f5FBaUX1JW+feayUu97ezJjOwUwZFYu/l1s9dGnNwROlTJ2fwqr0I5e1/dHich7++Fs+25rDjLEJtGukwLZpmixNrpksf6TYWlgeoKLKxrMLUnjv3p4KPl+iFWcm+R+qZZL/WYZBk56ALyIiIiIiIiIiIiIiIiIiIteGJhs0NwyjPdCf76eYnwBuMU3zq8bsS0RERESs25lTyNNzkkjNK7rifS3YeYjVu4/w5NBo7rwuHEeHhgs6V1bb+Pe6A7zyxR5OV156WP7H1uwpYOir3/CbAR14cEAkrk6OddClNTnHS3l2fjKrdx+9rO2/yTjK0uR8RiQG1XFnV6dDhaeZtiCFFRYn+ccGefP8hES6hPnWb2MiIiIiIiIiIiIiIiIiIiIidjTZoDnQ78zfBjVh818pZC4iIiLSPBSXVfLS8t28vzEL07RfH+jtRkhLd7ZlnbCz3yqemZ/C59sOMmt8IgkhPnXU8cV9m32CSXOTSbMYlh8cF1BzGh47weKKKhuvrMxg/o5cnhuXQL8Oreug24urrLbxztoDvLIyg7JKm916JweDKtuF77wZC1O5IaoNLVyb8suJxlVVbeO9DVn8ecVuSixM8nd3duTxIVHc0zcCJ0eHBuhQREREREREREREREREREREpHZNORkSeM6/TwD/a6xGRERERMQa0zRZmpzP9IUpHC4qt1vvYMA9fdvx2JAoPF0c+XzbQWYvSeNEaWWt2+08eJIxf1vLxL4RPDY4Ci8357q6Cd8pKqvkxWW7+c8ma2H5IB83po+JZ0h8za+xX6QeZtqCFHILT9e63f6CEn721ibGdglm8shY/L3c6qL9H9iWdYLJc5NIzy+2VD88IZDfDWjLL9/dROap8yfH5xeV8coXGTwzKq6uW70q7DpYyKS5SSTnWlucMCjWn2lj4glt6VHPnYmIiIiIiIiIiIiIiIiIiIhY15SD5mfH/pnAftO0Eu8RERERkcaSc7yUqQtS+DL9iKX6xBAfnp/ww6nkt/UIY1BsAC8sTefTrTm1bm8z4d/rMlmSlMfU0fEMTwjEMM4PRV8q0zRZnJTH9IWpHC22Fpa/t187fjc46gcTvgfHBdCvgx+vrdrLW2v2X3Q6+Fnzdxziy/QjPDkshjt7tcXR4cpvy8nTlfxpWTofbc62FJYP8XVnxth4bo4NoKioiNsjq3lplyM2zu/l3fWZ3NItlLhg7yvu82pRXFbJyysyeH9DJnbubqBmkv+0MfEMjQ+ok+9dERERERERERERERERERERkbrUlIPm2ef8u+7HOoqIiIhInaistvHO2gO8unIPpyur7dZ7ujjy+6HR3N0n4oJh6paeLvzx1k7c2iOUyXOTyDh8qtb9HS4q59cfbufGqDY8NzaBtn6XPxU653gpz8xP5qvdRy3Vdwr1Yfb4H4blz+Xh4sRTw2MY3zWEyXOT2Jp1otb9FZdV8cy8ZD7fdpBZ4xIuul97TNNk4a48ZixMpeCU/bC8o4PBL65vx6ODOuLh8v1LhBBPuCHI5Ku88++napvJlHlJfP5gXxzqIBTfnJmmyfKUfKYusD7Jf2LfCB4fEv2DxQkiIiIiIiIiIiIiIiIiIiIiTUlTTjWsp2aauQFEGIbhZJpmVSP3JCIiIiLn2J59gklzkkjPL7ZUPyw+kKlj4gjycbdb2zOiFYsf7s/baw/w6soMyipttdZ/nXGUwa98zW9v6sADN0Ti6uRoqSeoCcu/teYAf1ll/zgALVyd+P2QKO66SFj+x6IDvfjvr/rw+baDzF6aRmFpZa31O3MKGfO3tdzTtx2PDYm6pDBy9rFSpsxP5psMa2H5LmG+zB6feNHJ5MPDbHx7zOBkxfm3c3t2If/dmsNPe7W13N/V5uCJUqbOT2GVxUn+CSHezB6fSKdQ3/ptTEREREREREREREREREREROQKNdmguWmauYZhrAQGA57ACGBB43YlIiIiIgAnT1fy4vJ0PtyUjWnarw/xdWf6mHgGxQVc0nGcHR148Mb2jEwMYtoC+2He8iobL63IYO63ucwcl0if9n52j7Et6ziT5iSz+7C1sPzwhECmjo4n0OfSTrrj4GBwe88wBsUF8PySND7bdrDWepsJ76w7wOKkQ0wdHc/whEAM4+Kh9ooqG2+u2c//s3ffcY5d9d3HP+de9el122wv3mrjChjbYEyxDdheAiQhTyAkQJ6QBALkIYmxwYDtNEIoIYVAQnkSEnjijk0zBhfAxn2bvdXby8xOL6r3PH9cSSNN1e7OjDSz3zec1zn33KOrI+00z3z10xcf3EUiPXlYviYc4GNXn8M7X750wrB8xIW3LvP4951jB/f/6vsv8IYN82msCk16n3NJOuPx74+9xOd+tLPkSv4fecM5vPuVSwm4zgzsUEREREREREREREREREREROTMVGzQPOvPgNfg7/OvjTEPWmsHyrslERERkbOXtZb7nj/Kp+/bTntfYtL1rmP43Vct409et4aqU6jKPdLixhhfffdF/HD7cW65ZxtHe+ITrt/TPsBv/usveesFi7jx2nU0V4dHrekZTPHXP3iB/3z8QEl7WFQf5dPXb+CqdacWlh+psSrE3779PN52YRs33bWVXSf6J1x/vDfBB/7jaV5zTgufvm4jS5pio9b86qVOPn7nFnYen/haOW86dwGffPN6WmtLC8uf12h51YoGHtvbNepc92CKv7x/B3/79vNKutZc8MyBLm68cys7jvaWtP6NG+Zxy3UbSqrkLyIiIiIiIiIiIiIiIiIiIlIpKjpobq191hjzAeArwBrgPmPMr1trS3tfehERERGZMgdODnLT3Vt5eGd7SevPW1zP7Zs3smFh3ZTcvzGGN26Yz2Wrmvn8j3fyb4+9RMabuJz6HU8f5sEdJ/jza9by6xctxnEM1lruee4In7lvOx39yUnv13UM771sOR963Wpioan78fnlK5r43gcv52uP7uMLD+4knpq4CvlPX2zn9X//Mz541Wred/kKQgGH7sEkf/XAC/zXrw6WdJ9tDVE+c8NGrjyn9ZT2agzc+MaVvPVfnx6zWvp3nzrEOy5ezMXLGk/purNNbzzF337/Rf7v4/tLquS/sC7CLddt4A0b5k//5kRERERERERERERERERERESmWEUHzQGstV8zxgwC/wq8GthmjPky8D/AVmtLiXiIiIiIyOlKZTz+9ZG9fOHHu8YMGY9UEw7wsavP4Z0vX4rrmCnfT1U4wMfftJ63XtDGx+/cwtMHuidc3zOU4i/u2MJ3nzzIH792Nf/22D4e2dVR0n29bHE9t2/exPqFtVOw89FCAYc/eM1K3nzuAj55zzZ+8sLEr6dMpD3+9gcvcuczh3nbhW3868N7OTkweVg+4Bjee/kKPnTVaqIh97T2urghyh9euYrP/WjnmOdvunMr933wMoKuc1rXr2TWWr635Sifure0Sv6Ogd991XI+/Pozq+QvIiIiIiIiIiIiIiIiIiJl4GUg0Qvx3nH6nrHnU4NQPR+WvQpWXAnzzwVn7v0NXc4usyL1YK39tjHmceBeYB1wc7aljDGdQPzUL2lXTvE2RUREROacJ1/q5MY7t7DzeH9J69+0aQGfeMt65tVGpnlnsG5BLf/vf1/Kfz95kL964AV6hlITrn/6QDfv+fqvSrp2TSTAx65eyzsvWTItYfmRFjfG+Nq7L+IH247zqXu3cbRn4h9vd5/o568eeKGka1+4tIHbNm9k7fwzD8v//qtXcOczh9nXMTDq3IvH+/j3x/bx/ivm1o/ZBzsHufnurfz0xdIq+Z/bVsftmzexcdHUVPIXEREREREREREREREREZl26SQMnID+49Bf0Cd6IVgFkVoI147o64aPg9OfESiJl4FkPyT6ITkAyb7suB8SfdlAeM8EAfJsnywtIzG2LbD7R8AtEG2E5VfAitf4rXH5lDxMkZk0K4LmxphXAZ8D1gIWyKV9QsDpvA+9qqCLiIiITKBnMMVffX8H337iYEnr2xqifOb6jVy5tnWad1bMcQy/eckSXr9+Hrffv4M7nj58xtd887kL+MSb19M6A2H5QsYYrt44n8tWN/P5H+3k33/+Ehnv9H9srY0E+PNr1vEbFy/GmaKwfDjg8pnrN/K/vvb4mOc//+NdvPnchSysj07J/ZVTKuPx1Uf28YUHdxJPTV7Jvzoc4P+88Rz+1yump5K/iIiIiIiIiIiIiIiIiMgp8TwY6syGxkcEyEfODXWd2X25IYjUTRxGH9XXDd/GZrKB8MJg+Ijj5IAfFs+f6x99nBqcmuduqgx1wva7/AbQsGw4dL781RBrLNvWREpV8UFzY8wfAX8POPgBc8uZBcWV+hAREREZh7WWe547wmfu205Hf3LS9QHH8N7LV/Chq1YTDbkzsMOxNVeH+dw7XsbbLmzjpru2srd9dMXtySxu9MPyrzlnZsPyI1WHA9z05vVsvmARH79zK88e7D7la1z/soXc9Kb1tNSEp3x/l61u5i3nLeTe546MOjeYzPCpe7fxL7990ZTf70x6an8nN96xlReP95W0/tpN8/nEmzcwv65CXqUvIiIiIiIiIiIiIiIiInNXKg69h6Hv2PgB8oF2/9hmZmZPmaR/nwOlvVP0WavrJXjq637DwIJzYcWVfvB8ySsgOPuLusncU9FBc2PMm4AvUBwwzwXFk0APUGEvQRERERGZnV7qGOCmu7by6O6OktZfsKSe29+6ibXza6d5Z6W7dGUzD3zocv714b186Se7SaQnr0QdcAzvu2IFH3xtecPyI21YWMcdf3Ap3/7VAf76gRfojacnvc3SphifuX4jV6xpmda93fymdfz0hRP0JUbv6QfbjvOTF47z2rXzpnUP08Gv5P8C337iQEnrF9VH+cwNG2blYxURERERERERERERERHBWkgNQbwbhrr9Pt4zPB7KHmcSEKqeuEJ1rjK1U6a/uVrrV7NO9GVbr9/Hewvm+gALVc1QPR+q50F1q98CU1/E67QNdUPPQeg+6PeF4+6DMHCi3DuUKWHh6HN+e+zz4Ib9sPmK18DKK2H+ueX7fBIpUNFBc+DzDIfMDXAC+BxwD7DTWjt5ckhEREREJpRIZ/jKz/bypYd2kywhmF0TCfDn16zlNy9eguNU3pvFhAMuf/Ta1bzlvIV84u5t/Gzn+K+YvnBpA7dv3sQ582tmcIelcxzDb718KW9YP5+/vH8HdzxzeMx1Qdfw+1es5I9eu4pIcPr/Q7O1NsJH37CGW+7dPub5T9y9jVeuaK6o4P5ETrWSv+sY3nvZcj70utXEQpX+n1QiIiIiIiIiIiIiIiIyp3keJPuGQ+EThsZHzMV7/ErUUylUPTqEPqqv84PpRXM1kE4Wh8QTvaOD42OFx3PnzqR6d6S+IHg+z28180bPRRvBcU7/fjzPrzg+VoC85yD0HPIfj5x9MgnY9zO/PfgpiDbA8iv84PmK10DjinLvUM5SFZuKMMa8AliJHzIHeB64ylp7sny7EhEREZlbHt97ko/ftZXdJ/pLWn/deQu56c3raK2JTPPOztzSpiq+/p6LeWDrMT517zaO9yby52ojAf7i2nX8+kWLKzIsP1JLTZjP/frLeNuFbdx091b2tg/kz12yrJHbNm9k9byZDcv/r1cs5btPHWLbkdG/5DjUNcSXH9rNn77xnBnd0+nYf9Kv5P/IrtIq+b9scT23b97E+oWVU8lfRERERERERERERERE5hhrYagL+k9A/7Fsf9xvfdk+Nxfvhkqq15rs91vfkXLv5NTEu/3W8eLE64w7XAU9Fz6vHhFIjzYMh8lHViXvPTz14X6ZGYHoBC+gyFb0x8L+x+DAL8/833moC7bf7TeA+qVEFr+KhX0NdNSsJxmozIJ6MvdUbNAcuCDb5yqav1chcxERkbkrkc7wxL5OAo7D+UvqZ6Qq89msayDJXz6wg+88eaik9UsaY9x6w0auWNMyzTubWsYYrt20gMtXN/PDbcd5cn8nGxfVcfWG+TRVV9Bbn5Xo0lXN/OBPruDp/V1sO9LLJcsb2bCwFmNmPiwfcB1u27yJzf/4GNaOPv8vD+/hhvMXsaq1esb3Vopk2uMrD+/hSz/ZTaLESv5/dvVa3nlJZVbyFxERERERERERERERkVkgFYeBEwVh8eOjw+R9x/01CiNXJpuBvqN+m6uc4HCYPtoAyUG/ynq8d7h6PGP8kbiShar9NllQfLwK/OEaCIRKv7/kIBz4Bez9qd+OPX/mj6F7P6Hu/VycO4wuJexeA+uv8Suei0yTSg6a1xWMD1trnyzbTkRERGTaeJ7lv351kL/+/gv0DKUAWFQf5f++9+Usb64q8+7mHmstdzx9mNvu30HnwOS/mAg4ht9/9Qr++LWrZ3X4vyYS5NcubOPXLmwr91bOWNB1ePmKJl6+oqncW+Fli+t55yVL+I/HD4w6l8pYbr5rK//5vpeXJQg/kSf2dXLjnVtKruT/lvMWcvMsqeQvIiIiIiIiIiIiIiIiZWAtDHRAzwHoOZStXH2kIEyebfGecu9UzloGYk3FldeLqrIXzEXqwXHGv5TnQbJvOHhe1Pf4H+djnisMq49+5+wigSiEs+HwcDWEasY/DlX5QfD8ueri42DVxI9nOoRisOoqv4H/9WHfw7D3IdjzU/9rxRmqH9oPT/4zHHtKQXOZVpUcNG/P9haYZe+jISIiIqV44VgvH79zK0/t7yqaP9w9xLv/7Ql++OErZnW4udLsae/npju38ou9pb1JzMXLGrht8ybWzNPbLcn4PvbGtfxg2zE6+ke/cOEXe09y97NHuOH8RWXY2WhdA0n+6oEX+O8nD5a0fnFjlFtv2MSrZ1klfxERERERERERERERkYpkLcS7s9W8sxW8+45lq3hn+6Euv4pwdctw6LUqF4DNzlW1nlpl4amQSUHvYT9A3nMIeg5C94Hhcc8hSMdndk8ikP18GRkcL/y8yfZVzeAGp+Y+HcevAB6pm3zteEaG1Y1bEByvBreSo62noaoZNr7Vb9ZC1z6/0vmeh/wAerz79K+tkLlMs0r+bCxMf9SWbRciIiIy5YaSGb7w4C6++she0t7Yb6d0oHOQLz+0m4++4ZwZ3t3ck0hn+Kef7uEfH9pDMuNNur4uGuTGa9fy9gsX4ziVVYlaKk9dLMiN167jI995bszzt35vO1eubaUuOkW/tDgN1lrufOYwt36v9Er+77/Cr+QfDenFLiIiIiIiIiIiIiIiZx1rIZOEdMLvR42TkElk51JjjLPnM0lwAtCyFtouhlhjuR/Z9PAyfrXeXNXuvmN+kDwXKC8Mlk9VGDtSXxCizYVqW0fPVbWUFlhN9GVD5NmWH2erk/cdxa+XehYIRPznN1qfDRPXQyAMyX4/FBzvGa5MnR4q82YnY/zK1oXNy8BAu/+xmpn8b4dlZVyoXQT1i6FucbZvy46X+OdCsXLv8vRMRVh9tjIGGlf47aLf9T8mjz7nB8/3/hQO/NL/HlIqBc1lmlVy0PxRoB+oBlYaY2qttZO8X4KIiIhUuodePMHNd23lUNfk/8H5zz/bww3nL2JlS/UM7Gxu+vmeDm66cyt7OwZKWr/5/EV8/E3raK4OT/POZC7ZfP4i/vtXB3l8X+eocx39ST77gxf5zA0by7Az2Nvez013beXne0qr5H/RUr+S/znzVclfRERERERERERERGRWyaRgqNuvChvvGR4PdWX77oK+xx+n4gXB8IJAuZeanj02r4HFl8Dil/utabUftqxk1vqVvI9v84PXI8Pjfcf90K7NzOy+4t1+63hxkoXGD/gXVXlu9f+tcyHyngP+x8RcEqrxA7zR+tGh8YnmInUQjJR+P5lUtiJ1z3Bl6nzfUzwuOtc7SVjd+JW6R4bEI7m5wnPjjCO1EKwa/3MsV2G//0T2BRLHh18skZvL9YMdpT8npyIYKwiQF/S5cc0CcFQYa85zXFh0gd8u/wgkB+HgL4crnh97ftyb2kAU03bxzO1VzkoVGzS31g4YY74LvAd/n+8C/qG8uxIREZHTdaI3zqfu2873nj9a8m1SGcvNd23lP977coxRZe1TcbI/wW337+COpw+XtH5ZU4xbb9jEZaubp3lnMhcZY7j1ho1c84VHxnyXgv/7+H7eflEb57bVz9ieTrWSf20kwF9cu45fv0iV/EVEREREREREREREyiadGBEI7x4nPD5Gnyqt8FJZdez02zP/1z+ONkDbJcPh80UXQKiqfPtLDUH7C3BsKxzfOtzHu8u3pzNmYfCk305sL/dmTl+0AarnF1dtr5nvj2NNBUHxej8sXkoV96ngBqGqyW+nK530Q+eJPr9yerhm4oD4VDHGf16jDdAyyTutZ1IFVftPZCv0jxFI7z/hV37PiTX7FcjrF0PdktEVyaMN/j5ECoVisPK1fns9MHAS9v0M9v4Ub/dPcHoP5pdm2l5OIKBCgjK9KjZonnUzcB3QCHzKGPMja+1kL0MTERGRCpLxLP/5+H7+5vsv0pdIn/Ltf77nJPc8d4TrX7ZoGnY391hr+e5Th7j9/h10D05eaSHoGv7gNav4wGtWEgnqldBy+lbPq+F9V6zgn366Z9Q5a+Hjd27lrj98Fe4MhLh/seckH79rC3vbS/uF8g0vW8jH37Selhr9B7iIiIiIiIiIiIiIyBmbKCw+qu8qnhuzsvEcNtQFu37gNwDjwoJzsxXPs+Hzurapv19roe/ocJA8Fyo/uQvs5AV8ZIq4YaiZlw2OF7ZsmDx3rqrFD2DPVYEQBJqhqoKLorlBqF3gt8kk+v0XxkQb/MCwyJmqaoKNb4WNb6W/p4fHf/DftPRto6VvG42rrq74ELDMfhX9MWatPWKMuQ74HtAAPGSMebe19kdl3pqIiIiUYPuRXm68cwvPHuw+o+vc+r0dXLm2ldpIcGo2NkftPtHHjXdu5Yl9nSWtv2R5I7dv3sSq1upp3pmcLT742tXc8+wRDneP/iXwlsM9/Mfj+3nXK5dN2/13DiS57Xs7+J+nD5W0XpX8RURERERERERERETGYK1f2bqoinjPBFXFz/Kw+FSyGTjyjN8e/2d/rnZRNnT+Cr+fv8kPvZYqnSiuUp4LlQ+V9jdFOQ1uOFu1ug1qFxZUIR8RJo/UqZr1XBSu9pvIdDCGwfA89ofnsb/5tVx57pVEy70nmfMqOmhujFkCHAbeAXwFWAZ83xjzc+C7wFNAOxA/1Wtbaw9M3U5FRESk0GAyzed/vIuvPbqPjGcnXd9cHeYTb1nP//3Ffp54afQvNNr7EvzdD17kU9dvnI7tznrxVIYvP7Sbf/7ZHlKZyZ/vhliQG69dx9subMPoFxcyhaIhl1uu28D7vvnkmOf/9vsvcvXG+bTWRKb0fq21/L9sJf+uUiv5v3olH7hylSr5i4iIiIiIiIiIiMjc5KVh4GQ2HN6dDYqPFxof49ib/PftMkN6D8O2O/0GEIjCoguHK54vvgRijf4LBPqPjw6Ud+z0A+yVKNoA1fOzlbvn++HrWBMkeqH/RLYdh4F2f1wpH5eReqhfDHXZVr84Gyxf4o9jzeA45d6liIjIlKjooDnwElCYlrKAAS7NttNlqfzHLiIiMis9uOM4n7h725gVjUcyBt55yRI+dvVa6qJB1s6v4dovPEJ6jHD6t365n7dduJhNbXXTse1Z69FdHdx01xZeOjlY0vq3XdjGjdeuo7EqNM07k7PV69fP43Xr5vHjHcdHnetLpLntezv4wm+cP2X3t/tEPx+/cwuPn1Il/42saq2Zsj2IiIiIiIiIiIiIiEy7TBoGO4bDtwO5vh36jxPrOcprTuwnmBkglBkk8Mwp12yU02IgEPYrWAdC4GZbIOxXHXfDflC87+jU3WV6CPY/6recxpX+CwQGO6bufk6XcaCqtTg8XjPfr+JdM78gWD7Pf55KZa1fPb8ofH58RCC94PPCeqe//5oF2RB529iB8rD+ziQiImeP2RK2NgwHzm3BnIiIiFSIYz1xbrlnG9/fdqyk9Wvn13D7WzdxwZKG/NyaeTX83uXL+Zef7R213rNw011buOMDr8J19GNAR3+CW+/bzl3PHilp/YqWKm67YROvXNk0zTsTgVuuW89juzsYSo2ujnH3s0f49YsWc+mq5jO6j3gqwz8+tJt/KrGSf322kv/bVclfRERERERERERERCrFJOHx4fEJGDxJca3GYgFA5ZpGMC5E6/3q0+P1oaqCYHguJB7yA+LjjfOB8jC4JUSvrIWeQ3Dw8eF2bOvUVhnv3DN115pI7SKoXThGaLygr2oGZxreUdYYv3J7rBFa10681svAYGf2c2pkGD37OWUcqFvkVyEvDJTXLvRfJCAiIiLA7Amag4LlIiIiFSnjWb71i5f47A930p9IT7o+EnT48OvW8LuXLSfojn67sA9dtZr7njs6ZkX05w718J9PHOC3X7F0SvY+G3me5b+fPMhf3r+D3vjkz3fIdfjDK1fxv1+zgnBgGn6hIzKGtoYYH7xqNX/9/RfGPH/T3Vt54EOXn/bH5GO7O7jprq3s6xgoaf2vXdDGjdeupan6FKpiiIiIiIiIiIiIiMjYrIXUEHgpf4zN9gXn83N2jDmKz08057gQa/LDwLOFtZDohb7jfhXrvmPQf2w45HoK4XHBD3QXBsMjdZOHxwtD5JVQfMYYP8Rcvxg2vc2fS/TDkaezwfMn/D7eU959FgpEoXUdzN8I83Jtg//czgaOC9Utfpu3ody7ERERmdUqPWj+jXJvQERERMa39XAPN965hecPlfZLjyvPaeHT129kcWNs3DWxUIBPvmU97//WU2Oe/5vvv8DVG+bTUnP2BUZfPNbHx+/cwpP7u0paf+nKJm69YSMrWqqneWcio/3eZcu54+lD7DrRP+rc3vYB/vXhvfzRa1ef0jU7+hPc9r0d3PnM4ZLWr2iu4tbNG7l05ZlVTxcRERERERERERGZs5KDMNSVbZ3D48GCcWHLzWcSM7vPQBSqWvxKyVUtE49jTX7F6ak2XoC8r7Ad9cPkqcGpv//ZbGRYfKw+2jD2uWC0MsLiUy1cDcuv8BuA50HHzuLg+cldM7OX2kV+kLwwVN60cnqqkouIiMisU9FBc2vte8q9BxERERmtP5Hmcz/cydd/vg+vhCILrTVhbrluA9dsnI8p4RdBr18/j6vWtvLgCydGneuLp/nL+3fwuV9/2WnsfHYaSmb40k928ZWH95Iu4QlvrApx05vWsfn8RSU93yLTIRRw+MwNG/mNr/xyzPNf+slurjtvEUuaxn/hSY7nWb771EFuv/8FeoZSk9+36/CBK1fyB69ZqUr+IiIiIiIiIiIicnZIJ/2g+GBnQT9WeLy7eD4dL/fOS5Megp4DfitFpG6cQPoYx5F6SPYpQD4ZN5wNf9dlW70fDp+0unjD3A2LTyXHgda1frvw3f7cwEk49MRw+PzwU2f2OeuG/SrlRaHyDRBrnJrHICIiInNSRQfNRUREpPL8cNsxPnnPNo72TP5LDGPgXa9YykffeA61kWDJ92GM4ZbrNvDYng7iKW/U+TueOczbL1rMK1c2ndLeZ6OfvniCm+/eysHOoZLW//pFi/nza9bSUDUNlTpETtErVjTx1gsWccfToyuQJ9Ien7xnK//2OxdP+IKIXcf7uPHOLfzqpdIq+b9yRRO3bt7ISlXyFxERERERERERkdkqnSgIjJ/0x7k+P1cwP9TlV9qWYfEev53cXcJiA5RQWWnWM8Mh8ZGB8fxc/fBx0bp6CEbKuPezVFUTnHON38B/QcnxLX7o/MAv/QB639Gxb1uz0A+RF1UpXwWuomIiIiJyavTTg4iIiJTkSPcQn7xnGz/afryk9esX1HL7WzfxssX1p3V/ixtj/PFrV/O3P3hxzPM3372V+z94OaGAc1rXr3QneuN8+r7t3Pf8OL8cGmFVazW3b97EJctVcUAqy43XruPBHSfGrET+0Ivt/GDbca7eOH/UuXgqwz/8ZDf/8vAeUpnSKvl//Np1vPUCVfIXERERERERERGRCpMc9MOgvUdgsKMgJJ4LiheGx7v86toyg2ZhyNw4EGuG6la/Knv1PBLBOnYd7SEVqCblxthw0WVUNS4YDoyHavyq2TJ7BUKw6EK/veIPwFroOeQHzrsP+JXjW9f7ofKquV+wS0RERGaGguYiIiIyoXTG4+s/f4nP/Wgng8nMpOtjIZePvH4Nv3PpMgLumf2y6n2Xr+COpw+xp31g1LndJ/r510f28odXrjqj+6g0nmf5zycO8Nfff4G+eHrS9aGAwx9fuYrff/XKORu6l9mtuTrMx64+h4/fuXXM85+6dxuXr26mKjz8nyYP72zn5ru3sv9kaW9B+o6L2viLa9apkr+IiIiIiIiIiIjMLGv9sHjfET9E3nskGyg/DL1Hh8fxnnLvVGaDUeHx1uy4dfQ41gSOW3TzRG8vex56KH+8dvErobZ2ph+FzCRjoH6x30REZEZZa0l7aVJeipSXIplJ5se5+bSXLlpTeDzWuPB41HVsmlQmxVByiCMDR8iQwbMe9zx2D5941SdYWru03E+JzGEKmouIiMi4njvYzY13bmHbkdLebvF161r51PUbWVQfnZL7DwUcPnPDRt75r4+Pef5LP9nFdectZHFjbErur9x2HO3lxju38MyB7pLWX766mc9cv5FlzVXTuzGRM/SbFy/hO08e4rmD3aPOHe2J84UHd3Hjtes40Rfn1vt2cM9zR0q67sqWKm7fvImXr1BVDhEREREREREREZlimRT0HcuGx4/4wfHew9nweG58DDKJcu9UKl20AWoWZMPi8/IVyAurkY8XHhcRERGfZz0SmQTJTJJEJkEinfB7b4y5wnUFx8lMkqSXDYRnUvkAeD4InkkXHReGx0euT3uTFw6cESegN1FapkfkdM3aoLkxphFYBzQCdYAD/MBae7ysGxMREZkD+uIp/u6HO/nGL17ClvBugfNrI9xy3QbeuGEexpgp3culK5vZfP4i7nzm8Khz8ZTHp+7dxlffffGU3udMG0ym+cKDu/jqI/vIeJM/4c3VIW5+83quO2/hlD/fItPBcQy33bCR6/7hUcb6EP/ao/uIBl3+/bF99J5CJf/3v3oF4YB+6S4iIiIiIiIiIiKnIZ2Arpfg5B44udsfF1YjH2gHSvgjyVwTroVovR+OjjZm+waIFYyjjf6aYK7wkPErK+f7EXMw4nzhHBOvSydgsMP/9xhoh4Gxxh0weJIZ//fKB8jn+X1Nrp8P1fOz/TwIRmZ2XyIiUtE86+FZD2stHsPjjM2MOZ9bP2oODweHSCBC2A0TdsNEAhEcU/53Qk9kEvQn++lPZVuyf/Rxqp++ZB8DqQH6U/3E03GSmSTxTLwoJJ6bq5hgdwVKealyb0HmuFkVNDfGtAJ/BPwasHaMJa8HRgXNjTHvAXLvE3PEWvvVadukiIjILGat5ftbj3HLvds43jt5BQ7HwLsvXcZH33AO1eHp+7HixmvX8eCO42MGUH+84wQ/3HaMN2yYP233P50eeuEEN921lcPdQyWt/81LlvDnV6+lLhac5p2JTK2Ni+p41yuX8fWfvzTqXMazfOHBXSVd57JVzdx6gyr5i4iIiIiIiIiISAm8DHQf8MPkndlAeS5Y3nMQrFfuHU6fUE02IN4wIiA+XnC8wQ+Pu5X494dVky/xMjDYWRBCHy+U3u6H0ieq/BltGA6KFwbIqwuD5AqQi0hl8axHxmbIeJn8uKj3Mv75wnmveF3h2pHXGDmXtulRa0fePr9mxB6KruOl80Hq3ByQD1tba7FY/P/7AWubfWFRLnBtGXvNmLcrOC4McBcGugvPF+5joiD4yNtkbGbM6+Qe33QKOkEiboRwIJwPoOdC6GE3XHQuN464kfyakBvKH4cDYYJOkIHUQD4U3pfsoz/VP+Gcgs8zSyF8mW6zJmhujPk/wKeBEPmXshaZ6KWp1cAt2TUZY8y9qnwuIiJS7GDnIJ+8Zxs/eeFESes3LqrlLzefy6a2umneGbTUhPk/V6/l5ru2jnn+U/du57LVzcRCs+ZHG473xvnUvdu4f8uxktafM6+G2zZv5KJljdO8M5Hp89E3rOH+LUc50XfqbyXbXB3ipjet5/qXqZK/iIiIiIiIiIhI2VkLQ13QfxycAISqIVwDoaqCitYzxPP8SuRFQfJssLxzH8yFoFO4zg+Gxxoh1uQHw2NNxXOF89EGCITKveuZ5bhQ3eK3UqTiw5XSBzv9j91cJXIFyEVkHNbafJXlRCZBIp0gnomTyCSKqjEXHqdtmlQmRcoraNnjtJcec36ic4Xzac+/dtoqZCrDch8ffam+cm9FZoiC5jLdKj6NZYxxge8C1+MHzEcGyi1jB88LfQ34DFALuMA7gb+f2p2KiIjMTqmMx78/to+//9EuhlKZSddXhVw++oZzeNcrlxJwZ+4tl955yRK+++RBnj/UM+rc4e4hvvjgbv78mrHe8KSyZDzLfzy+n7/5/ov0Jyb/YT8SdPjQVWt47+XLCc7g8y0yHWoiQW5+83r++NvPnNLtfvOSxfzZ1Wupj51lfxgREREREREREREpl0Qf9ByG3kPZ/rDf9xwcHqfHeqdOkw2cZ4Pn4eqC49oRxzXDbazjwtC6tX5F6pFVyTv3+uMx91Kh8qHxpoKweLYvCpA3DYfGK7LK+CwXjEBdm99EpOystaS9NEkvSTKTJGMz+UB1xvPHRXPZccbL+EHugnVp688XrsvdvnBd0kvmg+L5gHjaD5Dn59LxouNE5tSLKYmITDe92ESmW8UHzYEvAzdkx7lQ+TPAD4ED2fMTstYOGmPuBX4rO3UtCpqLiIjw9IEubrxjCy8cK+2VrG/cMI9brtvAgrroNO9sNNcx3HbDJq7/8qN4Y7yPyVcf2ctbL1jEmnk1M763Um070sONd2zhuTHC8mN59ZoWPnP9RpY0xaZ5ZyIz583nLuC/f3WQR3d3TLp2zbxqbt+8SZX8RUREREREREREplI6MRwW7z0MPYf8lp87BPHSfo89moVEr9/OtIimcYYD6Il+SJzunmaIcf2K2DULoHYB1C7Kjhf6rWaB30L6nb+IVKaMl2EoPcRgepDB1GC+L5zLBa5zFbZzwfD8nJcqOk56SX9dwXEyk8xX584fz4V3nxARmYBjHIJOkIATIOAEhscme+wGCZjh+ZF9rpGB40eP4+LiGpflS5azqHpRuR+ezHEVHTQ3xlwGvJ/hKuYdwO9Yax8oWPNlRlc5H8td+EFzA7zKGBOy1iandsciIiKzQ89Qir/9wQv8x+MHsCV8F11YF+FT12/k9evnTf/mJrCprY7ffsVSvvGL/aPOpT3LTXdt5b/f/wrMTL8t5yQGEmk+/+Od/NtjL5EZKyU/QktNmE++ZT1v2rSg4h6LyJkyxvDp6zdw9ecfIZnxxlwTDjh88KrVvO/yFYQCquQvIiIiIiIiIiJSMmthoB269vvVx/MB8oIg+cCJcu+yNNYbDq2XW7AqGx5fCDUL/XFNNkCeG1e3guOWe6cichax1jKQGqAr0UVPooeB1MBwQLwgLD6UGh0eL1wzlB7Kh8hFRGYrgyHshgm5ISJuhJAbyh+H3TBhN0zQDRJyQoTcEEEnSNAN+n225QLfueP8ulwbsb7o2B1xnYJxwAngmKn5u3dvby8PPfRQ/vjKjVdSW1s7JdcWGU9FB82BT2d7A/QCr7bWvnCa13q8YBwGzgG2nMHeREREZh1rLfc9f5RP37ed9r7J39bLdQzvuXQZH379GqrClfFjw0ffeA7f23KMjv7R+39iXyd3PH2YX7uwct7m8Mfbj/OJu7dypGfyX8wYA//r5Uv50zeeQ11Ub4Mpc9eKlmo+eNUqPvvDnaPOXbGmhVtVyV9ERERERERErIXUECT7IdGX7fshNQiBCNS1+dWCA6Fy71Rk5g11Q/d+P0ye7w/44+4D/ueJlM44UL8EGlf6fWEF8tw4XOv/El9EZBrF03G64l10Jbrojnf7faKbrviIvuB82kuXe9siIiWpClZRHaz2W2hEH6wmFowVhcILxyOPR4bJw26YgBNQIT+RaVIZibExGGMagMsZrlZ+6xmEzLHWHjLGdAEN2am1KGguIiJnkYOdg9x011Z+trO9pPXnLa7n9s0b2bCwbpp3dmpqI0FufvM6PvRfz455/vb7d3DVulbqY+X9A9PRniFuuWcbP9h2vKT1a+fXcPtbN3HBkobJF4vMAX945SqSaY+vPrqPwWSG1a3V/PFVq3nLuarkLyIiIiIiIjJrpRPFofB83zfJcf8Yt+kHm5nkDg3UzPdD53VtULc427LH9YshUq9wqMw+ycHh4HguTF44jveUe4ezU81CaFqZbav8YHnTKmhYCoFwuXcnImXkWW/shoe1lozN4NnhcWHv4Q2PR9zW8/w+kU5MGh7vTnQzlB4q91MhUsQxDo5xCBi/GrNrXBzH713jDs8ZJ1+xeay5/FqntNuBX53aMQ7GGAwmvx+Dyf8tcbI1BgMGHIrXGGNwjYsxBgd/X7lr5W6fu65jnPztc+dHrsuvxSnaT+7xjHWt3LmRtyvcV9Htcm3EXtJemkQmQTwdJ5FJDLd0gngmXnQunomTSCdGjcc7l7t92ksTC8RGhcNrQjXD4fERc/k+WEN1qJpYIIard34RmbUqNmgOXAbkvrpkgK9OwTVPMBw0b52C64mIiFS8VMbjXx/Zyxcf3EU85U26vjoc4GNXn8NvvXwprlOZf4C57ryFfOfJgzy2++SocycHkvzND17k9s2byrAzyHiWb/7iJT77gxcZSE72hzCIBl0+/PrVvOdVywm6U/NWSSKzgTGGj7zhHD541Wo6B5K01kbKvSURERERERERKZQchMGTMNTp94Od2XZy/PkZD0dZ6Dvqt0O/GntJqHpEEL2gr1/sVyx29e6Cpyw5CF37oHMvnNwD/cchGIVoI8QaR/eRenD0+8+8TAp6Do6oSJ6tRt61HwZOlHuHs1esuSBIvsLvm1b641BVuXcnImfAWks8E2cwNchgepDB1CBD6aHh4+zcWP1Qaqh4vmCsiuAylVzjEnbDRALDlZaDTtBvbnB47AQJOIEx53Nz+fMj5otumx2PDHSPCngX9K4zeq4wPD4yHC0iIlLJQfOF2d4Ce6213VNwzcKXdtdMwfVEREQq2lP7O7nxjq28eLyvpPVv2rSAT7xlPfMqPPBpjOHT12/kms8/QjIzOjz/7ScO8PYL2zh/hquDbznUw413bmHL4dKqybx2bSufvn4DbQ2xad6ZSOUKuI5C5iIiIiIiIiLTzPGShNO9hNL9uC/9DExiODA+KjyebXOlomayH9pf8NtYjOOHzUeG0euXwMILoLplZvdbSVJD0JkNk3fu8QPlnXv91nv41K5lHD9sPlYIfay5XD8XqkwnB+H4VjjyLBx91u/bXyihYn8FqZ4HtYuGP09qF0HdIqhtg9qF/rsGJLLvVJDozb4zwXjHfdl3NSg8zr6LQanCtcUh8nx18hUQ1buGilSqtJemN9lLb6LX78cZ9yX78v3I0LjFlvthSIUJOAECJpAPW7vGzY9z51zHLTrOjYNOkLAb9lsgTMSNFB3nx9ng+GTHITdE0NELGEVEZO6p5KB5Y8G4c4quWfibiNQUXVNERKTi9Aym+Kvvv8C3nzhQ0vpF9VFuvWEjV66dPW/4sbKlmt9/9Qq+9JPdo85ZCzfdtZW7//BVBGagSnh/Is3f/fBFvvHzl/BK+P3WvNowt7xlA1dvnK9XgYuIiIiIiIiIyJlJJ/zQb+8R6DkMvYey/WHoOUx1z0HeEu8eXv9i2XZamayXff4Ow8HHR5+ffy6sugpWvhYWvwICoZnf43RKxYsrk+cD5fv8j6WpYj3/hQxDp/hn31B1NnTe4PfV87IB45XZKtUrIVI7dfs8U8lBOLZlOFB+9NlsqHzydxstm0h99gUWi4oD5HVt/rhm4cx83HsZSA4MB88TfcXNONCwzP93r2rxw+0iMuOSmWQ+CF5KaLzweDA9WO7ty2kKOSFiwRixQKwoUB10goTcUP445ITyFbdDboiQM3wu6AaLjkNuKD9XeJ2QE8qHwMcNj2fnXOPqb60iIiIzoJKD5tNRfbwwPdcxRdcUERGpGNZa7nnuCJ+5bzsd/clJ17uO4b2XL+dDV60mFqrkHwvG9odXruKuZw9zsHN0daVtR3r51i/3855XLZ+2+7fW8oNtx7nlnm0c641Put4YePcrl/HRN6yhJqJXs4uIiIiIiIhIBcikIDXoh01Tg34F4/SQ3+fm0vFTW2MzEGvyg4DVrVDV6leFrmrNHrf4FWcrNRTieX4F3ng3ZNIQjEAwBsEoBCIzu+9MCvqODgfHs+Fxvz/k9wPtE15i+sswzHHHnvfbo38PwSpYdlk2eH6VH3it1I/jQqk4dL00ojJ5NkzecwgquTpsrtJ1zwRFVapai4Pn+QrXK/zP22nb24AfKi+sVN7xYmWFyoOx4grkdYtHhMkXQaiq3Lv0Oa7/ooFKeuGAyByT9tL0J/vpS/X5fbIvP+5P9dOb7M2P+5J99CVHn0t6k//9UcorFojlQ+G5PhqIEgtm+zHOj1ofHF4XDURVpVtEROQsV8mJstxvxQyw1BjjWHv6/1VujFkMLCiYOnImmxMREak0L3UMcPPdW3lkV2mvpTp/ST23b97EugWz95e2kaDLp6/byHu+/qsxz//dD3dy7aYFzKuNTPl9H+4e4pN3b+PHO46XtH7Dwlpu37yJ8xbXT/leRERERERERGSWszYb3o771amL+vjY86mR86XeZkRA3GbK85idYDaIPiKAPlYwPdoIzinGpdMJiPfAULffx7uz41zrKTgesS7ey4TB20DUD68WtvxcbDiYHoiMnhtrrRPww+RjVSTvP15ZodVK4ATBK9MbF6cGYNcP/AZQv8SvdL7yKlh+BUTry7OvHM/zq5Mf3wrHt8Gxrf64+wAVHSY/UwMn/HbgF6PP1bZB04ps8LwghF6/9NSqdCf6R1cq79hZ/s9PJwj1i/3H07C0uK9fClXNs+PFECJy2noSPRzqO8SBvgPs7tjNM4PPELdx4jbOf/3svxjMDObD5UPp0YWbpHIZDPXheuoj9TSEG6gP19MQGacPN1AfqacqWIVj9DJDERERmVqVHDR/rmAcA14FPHIG13t7wTgD/PIMriUiIlIxkmmPrzy8hy/+ZDfJ9OS/1K6JBPizq9fyzkuW4Diz/xfMV65t5eoN8/n+tmOjzvUn0tz6vR186TfPn7L7S2c8vv7zl/jcj3YymJz8D7GxkMtHXr+G37l0GQFXv9gRERERERERmdNylbCHusZo3ePMZ1u5grPl4qWg74jfJmNcPyxZ1VIQRm/xq33nA+Q9xaHx6QxSpbMV3ZXVKo0TgFA1hGuyfXVBXzP6OFRVMDfyNjXgBiHR54fxew5Bz8FsOzR83HsEvPRpb9mO0QA8AxYzPNdzEPv0N/xmXOyi87HLroDll2MXnIs1DhaLtXbMftT92jHmRqzLHycGoGMXtuMF6NgF7S/Cyd3Y1MDoBxRw8bJ79h+D/zhyczY75zH8+IbXZdcWHA/fruAa+eub4uOCtcXHI/ZQtD9TfPsRc7lnJN+b4jnL8O+9Lb3YzmexXc8WnAdwIFKHjTVgo43YaANEG/zjQBj62/0XevQfx/Ydh6HO/HOfv6/64iIuhfspvq/RMf/CPY68/ajjUDVEarChGojU5D9vbLjGf8FKUZB8EPp3+O3Q6I+pcT+ecsdjfAyO3md5XrSQ21v+32GMz6NRawrWFh4Pd8XzBkNduI6maBMt0Raao820RFtoijbRFG2q+Iq+iUyCrngXXfEuBlIDVIeqqQ3VUheuIxaIYfSig1nJsx4nBk9wsO8gh/oOcbDvYFHrTfaOf+POmdunTK46WE19uJ7GSCP1kfqigPhYfW2oFtdxy71tERERkcoNmltrdxpj9gHLslMf4TSD5saYWuDDDP/3+K+stX1nvEkREZmVBpNpHtt9kv0nB3jVqmbWzq+Ztb9ce2JfJzfeuYXdJ/pLWv+W8xZy85vX0Voz9RW+y+kTb1nPw7vaxwx+3/vcEd5xURuXr2454/t59mA3N96xhe1HJ/ilXYHXr5/HLddtYFH9NL49q4iIiIiIiIhMj1Tcr5Db3w5DnROHxAez5+Pd5a9uOxfZTD7wOZd4QBpIGUPaQAZD2hgyQNqQHReegzSGTLZPG8jk1xvSkL99xhhS2dtlCm7nB3dNPrzrZY9zAd9c0NhjOGjsrzV4bhgvEMYGwnhuiEwghHVDeG4w33tOAOsEwHHBCfhBa+OAGQ6FFgY9LR7W9oDXgx2y2CFbFADNhbLzxwXjjM1gbUEfyOA1hvEaVuDZZXiZJF4mhecl8bx0tmXwbAbPy5Apeg6yz0vu+LR/X3wcDn3XbzMtCMyvB+pn/r5nLQu20/8aPjjBsjAQLvc7g/ZDqh9SR8u8j7NbQ7iB5lgzzZFmWmJ+AD03bo4251t1sPqM/+6U8TL0Jnv94Hiii+54N52JTrrj3XQluormc+OJqlUHTIDacG0+eF4Xrhseh+rGPVcbqiXgVGysZFKJTILOoU46E510DnXSlega87gn2UPYDVMbqqU2XEtdqC7/XOSen9xcbdh/bqqD1VNWOTqVSXG4//CoEPnBvoMc7j9MIpOYkvuZqxzjUBWoIhqMEgvEiAVjY/bRQHTMubAbxhiDYxxc4/pjHBzH8XszRis4b4wZvt3Ia2TXu45b8S9WERERERlPpf8XwTeBT2bH1xlj3m2t/capXMAY42avsyg7ZYF/nLotiojIbGGt5e5nj/CZ+7ZzciCZn79qbSu3XLeBxY2xMu7u1HQNJPmrB17gv588WNL6xY1Rbr1hE69ec+Zh60q0sD7Kn7xuNbff/8KY5z9x9zYe+NDlRIKn96r/3niKz/7gRb71y/2UUNCFBXURbrluA2/cMP+07k9EREREREREpkk6AQO5KrXt2SD58eHKtYXnEj3l3u2clQsv5wLUqVEh67FD1YXnM4wIBjNcSTl3nKu2nAtN5wPVDFdNHvN8QeA6t49U9v5T2blUNtjth8Sz5zH50HiKgvmRa3OPYVYWv/CAIbBDkMJvs40B9M6DInIauhJ+oHsXuyZcF3EjRVXRiyqkx1owGLoTwwHxrnhX0XF3vJvuRPeUVo9P2zSd8U4646de4roqWDUcss4FsbMB7FgwRtgNE3SChN0wITdEyA35Y6dg7I4e586fSlg7mUnSGe+kK96VfzyFxyPnB9MTvYrkzDjGoSZUUxRArw2NCKmPCPQnMomiEHmuQvmxwWN4Z+GLFV3jUhOq8T+ush9bheOaUA1VgaricPgYIfKQE5q1RcVEREREZoNKD5p/FvgDoAX/1z5fNca0Ap+z1o4uWTqCMWYt8C/AZQxXM98J/Of0bFdERCrVvo4Bbr5rK4/u7hh17sEXTvDYng4+eNVq3nvZCkKByv0jg7WWO54+zG3376CzICw/noBjeP8VK/jj164mGprbb632nlct53+eOsyLx0e/acm+jgH+5Wd7+dDrVp/SNa21PLD1GLfcs40TfZNXi3CMv48Pv34N1eFK/zFLREREREREZI7IpIoD4v3HhyuRF4XHT/gVx88iFhgyhkFjGHQcBh1Dwvhh6GQ2MJ00hmRuLhuQTuWP/aB0fk02cJ0a5za59X4Iu7gSd6ag4nZaQSAREZnD4pk4h/sPc7j/cLm3MiUGUgMMpAY4MnBkWq4fdILFIfRsAD0351kvHyDvT5X2Dr8zwbMePYkeehI9MPpPU2eNwmr5taFaasIFwfGCyvj5QHnB2qpglQLiIiIiIrNARSegrLUDxpj3AncCDuACfwV8wBjzbeCp7FKD//vSC40xjcAq4LXZZrINYAh4p7Wl1CIVEZG5IJHO8JWf7eVLD+0mmR6/EkA85fE333+RO58+zG2bN3HJ8sYZ3GVp9rb3c9NdW/n5npMlrb9oaQO3v3UTa+bVTPPOKkPQdbht80be9s+/GPP8l3+6mxvOX8jSpqqSrnewc5BP3L2Vh15sL2n9pkV1/OVbN7FxUV3JexYRERERERGREiQHoPuA37r2Q/d+6HrJP+45BEOnXpmzElkgkQ+FGwaMw5CTDYgbw0C2H3T88VA2PD5ghtfkwuSDBXNW4R0RERGpYCkvRcpLMZAaKPdWzkqxQIzqUDW1oVqqg9VUh6qpCdZQE6rxx6EaaoLD4+pgdi4bHI8GogqLi4iIiMxxFR00B7DW3meM+UPgH7NTBlgK/NmIpQY/hD5yLhcqTwHvsdY+M117FRGRyvL43pPceOcW9rSX/oupXSf6ece//IK3X9jGX1y7jsaq0DTusDSJdIZ/+uke/vGhPSQzk79tXl00yF9cs5Z3XLQYxzm7frFz0bJG3nFRG9958tCoc8m0xyfu3sbX33PxhL/wSmU8vvboPj7/453EU5M/39XhAH/6hjX89iuX4Z5lz7eIiIiIiIjIlEgnoefgcHi8e382UJ4dD5T2IvBKlAQ6XZeTrsNJ1823zoLj3LjHccgopCMiIiIipyHshlkQW0BkKEKVU0XERFi3Yh3NNc2jAuK5cVWwioBT8bEhERERESmzWfETo7X2K8aYPcC3gPkMh8cLg+S54/zNss0Ax4G3W2sfnYHtiohImXUNJLn9/h1896nRYeNSffepQ/xox3FuvGYdb7uwrWyB7V/sOcnH79rC3hLD8pvPX8TH37SO5urwNO+scv35Nev44fbjdA+mRp372c52Hth6jGs3LRjztk/t7+Ljd27hhWOlvcfhNRvn88m3bGB+XeSM9iwiIiIiIiJzm2c9Ml6GtE37vZceHo/oMzaDZz2stVgsnvX844Jx7pq5dR5jrC88zp7PXSc3LrxWbm3RtbNrSzlXeN3cOOyGWVa3jDV1q1iCg9t9aESQPBsm7z1C8a/6K5cFBo0ZIzzuZEPj/rjT8ef7XKfcWxYRmXIGg2McDAZjiscjzxljcHDy53LHGPLrHON/rRzvOHed/P+y4/x+Cs4VHueWFN4O62HSCUjHMak4pIYw6TgmNYTJJLPrs5wAJlQN4RpMuMbvgzEovP+C+yjqjSm674nWFj23I15wNHJNKVWDJ7vNqPMj9zHGXZzOPqbDeM/zWHPjHefXj1yHIW3TdMY76RjsoCPeQcdQB2kvPV0PR+SU1YXrWFy9mMU1i2mraWNxzeJ8a4m10N/Xz0MPPZRff+XaK6mtrS3jjkVERERkLpgVQXMAa+2Dxph1wB8AfwQszJ4a779iDdAFfB74grW2d9o3KSIiZWWt5X+ePszt9++gcyB5xtfrHkzxsf95nu8+dZBbb9jEOfNrpmCXpekcSHLb93bwP0+XFpZf1hTj1hs2cdnq5mneWeVrrArx51ev5c/v2DLm+U/fu50r1rRQHR7+MahnKMXffP8F/vOJA9gS/q69qD7Kp6/fwFXr5k3VtkVERERERM5a1lrSXpqklySVSZHyClrBcTKTLD6XPZ/20qQ8v/esR8Zm8uO0TedD3hmbGe5HjD3rkfbSReP87b3sNTPJ7HpLxmZIeami66S8VH6cu1bhNc92Yc9jRSrN6mSSNckUq5Mp1qSSNGW8cX/JXw4WOO66HAgG2B8McCAQ5EAwQHsgQGcgwEnHIV5JG5azVsAEcB0X17gEnAABJ5Afj5wz1jDQN5APvDY2NBIKhIYDwtng75hj4+RDwo5xioLAI9fnjk87AMw4Id2Ca+ZuW3ifYzXXuBhj/B6D62R74+b3Wbgmf1scHMcZFYwesy/cmyl4LJkk5ujzcPBxzMFfYTr3YACDzfZgLMPjUf+6o39BmV9T1wbN52BazoHmc6BlDdQsxDjuiPVjB5hzjxPGDnVPFBgvHM9ZiT44uQeS/VCzABqWg6MXDJ3NPOvRm+ilfaidjqGOotY+1M7JoZP5c33J0grYnK5oIEpjpJH6cD31kXoaw41+n51rCDfQEGmgPuKPq4PV9Kf66U320pPooSfRMzxO9tCb6B333FwN1zvGoT7sP2e51hBp8PtwA0kvmX8+epL+c9KbGH5e+pJ9M/Jz/bzYvKIAea611bRRF66b9vsXERERERlp1gTNAay1PcBfGWP+BjgPuBxYBzQB9cAg0AHsAx4CnrDWzs3/ChIRkSJ72vv5+J1b+OXezpLWX7ysgavWzePLD+2mLz7xt4pfvdTFm774CO+9fAUfvGoVsdD0ffu01vLdpw5x+/07xqzIPVLQNfzBq1fygStXEQm6k64/W7zjosV858mDPH2ge9S5Y71xPv+jndz05vVYa7n3+aN8+t7tdPQnJr2u6xh+77Ll/MnrVk/rx4GIiIiIiEi5WWtJekmGUkMMpf02mB4cHqcGi+ZyxyPXDaWG8gHypJccFR7PBcRl7ks4DjvCIXaEQ0XzDZkMq3PB82SS1ckUK1MpYqW8Evw0WeCk47A/HOFAVQP7o1UcCAbZbzwO2jhDNjNt9y1TI+AECJhAUbg5HyDGFIWkc0HjkcHootuMCFfnAsi52wScAEEnSNAJjhrnjgv7sebGO1c4nwuPB0w2JD5BkPxUwr69vb3F1U0vV3XTadd6Hpz32/649yjs+Ynf9j4Egycnv32wCuath3kbYf5GmLfJPw7PXDGUs1K4Bha+rNy7kAriGIf6iB/sXt2wesK18XSck/GTtA/6AfRcGH1kOL1zqBOL9cPhkWw4PFwQGI800BAeDoznzkcCp/7Oqg2uf/tTYa1lKD2UD56PF0bPHcfTcZKZJMlMkkQmQdIbHqcyKdLTGNcwmPxzlw+MRxpoijSNeVwXrsu/uOZ0eNajP9XvP/ZEbz6wXxjezz03ueenN9FLd6KbpDdcICvgBGirbqOtpo0lNUuKwuSLahYRds/edy0WERERkco0KxNS1loPeCbbRETkLBZPZfinn+7hn366h2Rm8ioCddEgN167lrdfuBjHMbz1gkXc9r0d3P3skQlvl/Ys//yzPdz73BE+dd0GXrd+6itZ7z7Rx413buWJfaWF5S9Z3sjtmzeyqlV/XBjJcQy3bd7Em7/0KBlv9B+m//3nL3Hx8kb+4/EDPLyzvaRrvmxxPbdv3sT6hfojnIiIiMhclKuoXBh8TXtp0jY9PC6ompz20lgs1lry/8uO/f+PmMvex8jbjLU2N+9Zr+hc/jg79vD821iLh5evrOZZf5y73ni3iyfi7Bval7+PF7e9SCgUGt4DDO8vG/gs3E/+uRt5vuAxFz7uoud75PEEgdKJ1lovDfmW8e8rGMU67ujndbJ+orkR/zaxYCxfSbAh7Ac/cqGQunAdDeEGasO1ZxRiOFNpL50POHTHO+nuPUhP70G6+47QPXicnqEuetIDDDoOQ8EIQ47LkJcsCoxnFLaVGdDlujwRdXkiOhyeMtbSlk5nw+cpVieTrE6lWJJKM+nL7I0LVS1Q3Up3VRP7I1XsDwXZ71gO2AT7U70cGOpgIDNUcKM42PhYRYTnNNe4ftDZ9cPOITdEyAnlxyPPBZ2gfz47l7+NO+I2I4LV+XC049/fWFW3i44LQta5+aATzAewc2FwkVmjdgGc/1t+8zw49hzsftAPnnftB8eFeRsKQuUbVUlbZBaKBCIsql7EoupFE67L/fdMpX4vM8YQC8aIBWPMr5p/xtdLe+n8OxMlMol8AD0/nmQ+mUliraUuXEdjtJHG8HAl8vpwPa4zc0WYHONQG6qlNlQLp/inuXg6Tk+iB4DmaPOM7ltERERE5EzNyqC5iIgIwM/3dHDTnVvZ2zFQ0vq3nr+IG9+0jubq4UoArTURvvAb5/P2Cxdz891b2TfJtQ53D/Hebz7JG9bP45PXbWBRffSMHgP4Yfl/fGg3//SzPaQyk/9Fsz4W5MZr1/H2C9sq9heRlWDdglp+59JlfO3RfaPOZTzL73/rqZKuUxMO8LGrz+GdL1+K6+j5FhERETlduSB3YYWzfMsep7zUpHO5PzxPdL4wDD5ecLxozksrUAuws9wbmFtyIYSRAfT6SH3+re1zYfXc8Vjh9FxFwe5Ed771JHqGx4MddPcfo3uog55EN93JPnoyQ/SdSuXAocmXiMwkawwHg0EOBoP8pGp4Pux5rPAMa9wqVkfmsbp2Gcub19EZirHfJtmf7mX/0AkO9B1kf+9+epN7/PdBHSzbQ5kSjnGoClQRDUapClYRC/jhr9xcLBDz54Mx/1z2fO648DaxQIxIIJIPbovIDHMcWHi+367403LvRkTK4Gz7u07uBWVnu0ggclpV6UVEREREKoF+ohcRkVnnZH+C2+7fwR1PHy5p/fLmKm69YSOvWtU87prLVjfzwIcu559/tod/fGjy6ug/3H6cR3d38OHXreF3XrWMoHt61WUe3dXBTXdt4aWTpf3F89cuaOPGa9fSVK23zSvFh1+/hu89f5RjvfHTuv2bzl3AJ9+8ntZa/fJPREREzh7WWuKZeL6q8WA6249zPOm59CBDKX88nW+ZLVJpPOvlw+Av9b5U0m0MhrpwHfXhegJOgJ54J92JXlL63BEBIOE47HBgB4OQ2Aft+6D9oXJvq2SucWmM+FU4m6JNNEWahsfRJhrCDdSEaogGokXB8bAbPutCaSIiIiIiIiIiIlIZFDQXEZFZw1rLd588xO0P7KB7MDXp+qBr+IPXrOIDr1lJJDh5haZI0OVPXreG61+2iJvv2sqjuzsmXD+YzHDb/Tv4n6cPcdvmTVy4tKHkx9LRn+DW+7Zz17NHSlq/ormKWzdv5NKV44flZbTqcIBPvGU9H/iPp0/pdosbo3zm+o285pzWadqZiIiIyMyw1jKYHqRzqJOT8ZOcjJ+kM97JySG/Lxz3JHry4XDL5O+0IyJTz2Lz4XSRyRhrcQCTbU7BsQMYCwZ/bvgYnOzXeLdgLrfOZOec7Nzwtf05srfPzeXPZ6/p5G/rO+66HAgG8OZwSDrshmmKNA0Hx6ON+ePGSPG4Llw36l0LRERERERERERERCqZguYiIjIr7D7Rx413buWJfZ0lrX/58kZu27yJVa3Vp3xfy5ur+NbvXcK9zx/l0/dup6M/MeH6F4718Wv/9HN+85LF/NnVa6mPhcZd63mW7zx5kL984AV6hiYPy4dchw9cuZI/eM1KwgG9nfHpuGbjfF69poWf7WyfdG3AMbzvihV88LWriYb0fIuIiEhlSntpuhPdY4bFO+N+oLxzaHicyEz886yIyGxirCVkLUEgaG22+WMXi2v9ALWLxbEQyPYuEMgGsV1r/TW5fsScAwQsBdcrvoaLJZC9du584XEge62x+sLrBhg+Lry9k+2HQ9x+iLzwODeuWJE6mLcR5m0gXreYvZEIu0ixK9XDzt6X2NW9i46hiV/gXwnqw/UsqV3C0pqltNW00RxtLg6RR5uIBWKqNi4iIiIiIiIiIiJzloLmIiJS0eKpDP/wk938y8N7SGUmr6rYEAty47XreNuFbWf0Rz5jDNedt5BXr2nh7374It/65X7sJHf/7ScO8sNtx7nx2nW89YJFo+5/5/E+brxjC0/u7yppD69c0cStmzeysuXUw/IyzBjDp6/fwOv//mGSaW/cdRcubeC2zRtZO792BncnIiIiUizjZTgxeIJD/Yc42HeQQ32HONR/KB8kPzl0ku5EtyqOi0hZhT2PmLVEPUvUekStJeZZotYSzZ2zhmisiWjNQsKBKKHBToIDHQQH2glm0gTHCYwHrCXI8HEod45cmHwGROqgtg3qFkFdG9QW9IEIpAYgOQDJwex40D8ea5wahGT/6PGceRGQgaaVfqh8/sZsuHyj/3xlfy8SAdZnW6GueBe7unaxq3sXO7t2sqtrF7u7dzOUHprRR1ATrGFJ7RI/UF671G81S1lSu4S6cN2M7kVERERERERERESk0pQ1aG6M2Vumu7bW2pVlum8RESnRI7vauemurew/OVjS+rdd2MaN166jsWr8iuKnqi4a5NPXb+TXLmjjxju3sO1I74TrTw4k+eh3n+O7Tx3k1hs2sqq1hqFkhi/9ZBdfeXgvaW/yQFBjVYib3rSOzeePDqvL6VnaVMUfXbmKz/1o56hztZEAf37NOn7j4sU4jp5vERERmX6DqUEO9R/iUN9wmPxg/0EO9x3mcP9hUt7k73wjlcVgMMb4fX4mV3E4W4XYAlj/2GYbFmzBGoqrFJvsfz64Becdm6tobMc8LpzLzY88zu3HwW8U7DN3v4U/GY/aF35V6QnPF96+oBJz8fM20XNa+rGxI88VP58OjPs8m4Lnb+RjcWzx9ZyC++h1HHochy7Xpdtx6HYduhyXZAX/N0XE86jzPOo9j3oTpM6JUO+GqBroJJocGCMobol5XnbOErMeUc8SOZWw98mTwOj/DisrN+yHoOsWQd3ibIg8FyTPzodrpn8fmXQ2eD4w3OcC6oOd0HMIeg/7fc9h6DkI8e7p39dEwrX5KuV+qHwTtK6FUNVpXa4h0sAlCy7hkgWX5Oc863G47zA7u3ays9sPn+/q2sWBvgN4dvwXj08mGoiytHYpS2oKwuS1fpi8Idyg37+IiIiIiIiIiIiIjKPcFc2XAZaZf5dPlf0SEalg7X0Jbv3edu5+9khJ61e0VHHbDZt45cqmadvTeYvrufsPX8W3frmfv/vhTvoT6QnX/3JvJ9d84RHeeckSHnqxnQOdpYXl33FRG39xzToapjAsL74/vHIVR3uG+PYTB/Nz179sITe9aT0tNeEy7kxEROYqz3qkvbTfbHp4XNBSXoq0TZPxMsXnbPaclz2Xvb1nPTzrYa3Fo2BsPSx2+HzheIy1HgXjEevHahmbwVrr91gyXiZ/zTHXjOhHrsndf06uOndubrzj/PqR68ZZH3SC1IZq/RaupSZUQ21onD5cm18bcs/sZzFrLR1DHX6IfGSgvO8gJ+Mnz+j6c13ACRByQoTcECEnRNAN5schN0TQyR67IcJuePg4d94NEnT8FnAC+T5gAgTd4XHAGW6j1hasCbpBfwwEeo8R7DlIoOsAgZ5DOIMdMNABA+1+P9gBmWS5n8LZIxCFUAyCVdk+5gdWg7HTmM/2mQR07oOufdC51x93ZsfTXCXZAkPGZAPoDt3ZEHqX69DtuHS7Tvb4zMLpxlpqs4Hxukw2OJ7J+CFyJ0x9qJa6SAP1sRbqqxdSV9tGfcMKInWLoWYhVDWDUxAVtxZ6j8CRZ4rbUOfUPkEzwTj+Y6xbNFyFvLAieV0bxJrylbbLyg2AWwuRU3hXrUS//2/Vc7A4hN57aHg8JR/nBhqXZ6uUbxoOl9cvmfbnzjEOi2sXs7h2MVctvSo/H0/H2dOzJx8839XlV0Ev/J4adsMsrlmcD5AvrRkOlDdHmxUmFxERERERERERETkN5Q6a58xk8Fu/TRaROae9L8HPdrbjGLhiTQvN1bMzNOt5lv/61UH+6oEd9MYnDnIDhAIOf/iaVfzv16wgHJj+N88OuA7vedVyrtm4gM/ct53vbTk64fpUxvKNX+wv6dqrWqu57YaNvHzF9IXlz3auY7h98ybef8VKXjzWywVLG2itiZR7WyIiUkbWWpJeksHUIAOpAQZSAwylh/LjgdQAg+nB/PnBdLZPDebHudsMpYdGBcXPpOqmTJ3DHD7l20TcyKgQ+shweq65jsvh/sMc6vMD5blgeTwTn4ZHU14GQzQQJRqIEgvG/D4Qm/w4ODwfDUQJB8ITBskd40y+memSikPXS9CxNxtSzraufdB9EGymfHsrJzfkB7lD1dm+aozjSc7lwuC5QHgwBs40/Vs3LAOuLJ6zFvqOjQig7x0eJ3rO+G4NELOWWCbDgkwGmPzdCSYKp2cwfng8k6GOAPWxJuqr5lNTswi3diHULICa+VA4DkZPY+MmW9F7Eax7c3ZjFroPjAifPzslz9MZM67/b9y0EhpX+n1uXLvID3DPVeFqaFnjt7FY61dD781VQT80YnzYD6oXfi0L1RRUKN+QrVK+zr+vChIJRNjQtIENTRuK5jvjnbQPtlMbqmVe1bzyfg8RERERERERERERmYMq6bfuCoCLiJyieCrDl36yi688vJdUxn/NTsh1+N+vWckHXrOSSHD6w9dT5cVjfdx45xae2t9V0vpLVzZx6w0bWdEy83/4nF8X4cu/dQFve/EEn7h7Kwc7T79aWCjg8MHXruL9V6wkFNAfQ6ebMYblzVUsbz69t/UWEZHKlPbSdCe6OTl00m/xk3TGO/Pj/mQ/A+kBhlLZEHk6GxZPDZK2k7+4Tc4+8Uyc+FCc9qH2cm9lyoXdME2RJhojjTRGG4fHkUYaIg1UBavGDY5H3MjcqAab6M+GjfcVh8k79/khzLn6RniBKFS3QFWuNZMI1LHzSBfJQA0pN8amC15BVUNLcUg8WAWBOfCOS8ZA7QK/Lb20+Jy1MNRVHEDvKvj4GJiCrwWhar+Fc30NhKox4WpioWpi4WoWhGr889lzRGqzAfIFEG2Y2SrcxkDDUr9tuMGfs9Z/Po48A0ef9YPnR56FZN90bADqFkPTCmhaVRAoX+VX1XaD03Cfc4AxUNXktwXnjb3Gy/gvuhhoh2g91C2Zvhd9zIDc9zARERERERERERERmR6VEjQ3QAb4CfBN4IHssYiIjOPhne3cdNdWDnQOFs0nMx5ffHAXdz97mM9cv5Er1rSUaYelGUpm+OJPdvGvD+8l7U0e6GiqCnHTm9dxw8sWlT3kcuU5rfzow6/mH36ym395eE8+7F+qy1Y1c+sNG1mm0LOIiMgoyUzSD4vHTxYFyEcGyTvjnXTFu7BzNRgqUoL6cH0+aNcUbRo1boo0+YHyaCOxQKzsP0fPiHjP6BB5btx/vNy7mxrGgVhTPjTu960F45bic2NUJ0709rL3oYfyx+uXXAq1tTP5KCqDMRBr9FvbRaPPJ/qKA+g9h8AJDAfGw9V+VehwYZi84DhUPauDvHnGDFcP3/Q2f87zoHNPceXzo89BanDia+XULMiGyEcEyhuWQ1DvQDUtHHe4gr2IiIiIiIiIiIiIyCQqJWhuAQd4XbadAP4D+Ka19vlybkxEpNKc6Itz6307uOe5IxOu239ykHf92xO8+dwFfOLN62mtrbw/0P70xRPcfAoVwX/j4sX8+TVrqY9VTjW9SNDlT994Djecv5Cb7trKL/d2Tnqb5uoQN795Pdedt/DsCPmIiMicYa0l7aVJ27TfF7ZTmMt4GVJeingmng+LjwyS901LdVSR2aXejdDmVtHmhFkQqKEp1kJj9UKa6pbQ1LCSxoZV1MeaCDoVXtk3nfQr5/Yfh4EOP4CaSUEmAekEZJJ+SydPYy53neSIPl7uR316wrXDwfBYc3bcXBwgr271+2iDHxiV6ReugQXn+k2KOQ40r/bbue/w57wMdOwcDp6f2AHWg/qlxYHyxhVjvgBCREREREREREREREQqR7mD5r8LvAt4NX5V85x5wIeBDxtjtgDfAP7TWjtHSk6JiJw6z7N8+1cH+OsHXqA3ni75dvc9f5SfvdjOn77xHP7XK5biOuUPNp/ojfPp+7Zz3/NHS1q/urWa2zZv4pLllftWyKtaa/j2+17Bnc8c5rbv7eDkQHLMdb95yRL+/Oq11MUqPAwkIiKnLeNligLWKS+VH2dspih0nT9Xaki7YD5jM/59FYS3C+9jZF90m9w1vAwZ64e+c+dyx2PtN2P1xlMiU8m1sMCDtlSKxck4bek0bak0i7N9jZ2kUr9xoHoe1MyHmoVQu2DEONsidX4l4qnkeTDU6YfH+49D/4kR/XHoz4bLhyZ/MeacFYgUhMSbiyuMx0YeN6mCs8wNjgut6/z2sneWezciIiIiIiIiIiIiInIGyho0t9Z+Hfi6MWYJ8G7gt4FVBUsMsAn4LPDXxpgf4ofO77bWjp3gExGZg1441suNd2zh6QPdp3X7vkSaT96zjf/31CFu27yRc9vqp3R/pfI8y388cYC/+f4L9JUQlg8HHD541Wred/kKQoHKf5txYwxvvaCN165t5a+//yL/9asD5LJB58yr4bbNG7loWeWG5UVE5qq0l2YgNcBQeohEJkE8HSeRSRSNc+cK5+KZOIm034+cy43j6eE1iUyCZCaJZZJgqMgkAiaA67gEnIDfTCA/do2LYxyMMThke+P4cxSMs+fzY+MUrR91fuTabHONi8HgOtk+e/+j1hhT1I+5puA6uflCuXd6MYzoR8yPu96YUWvimTh9yT56E730Jnv98cg+0Uvalv5CzlNV7XksTqXzIfLhMHmK+ekMZ/TyQ+tB31G/8cz464Kx4QB6zfxsCD03XpgNpM8HNwSJvuHq46OC44Vh8hNwNr/4pHYRNCz3n798WDwXHM8ex5ohVDX1IX8RERERERERERERERGRGVLuiuYAWGsPAJ8BPmOMuRT4HeDtQB1+2Nzi7/WabOsxxvw38C1r7c/LsmkRkRkwlMzwhQd38dVH9pL2zjy0tuVwD9d/+THe9YqlfPSN51Abmbmq2juO9nLjnVt4psSw/OWrm7n1ho0sbaqa3o1Ng/pYiL986yb+zxvP4Zd7T7KsqYp1C2ryYSgRESldyksxkBygL9VHf7Kf/lQ/fcm+4X7EXH+yf3htdjyUHir3w5BZxjUusWCMWCBGVbCKqmAVsUCMWDCWH1cFq4rWRANRgm4Q1wwHxINOcFRQfMzjEef0M8PMstYylB6iN9FDX89Bert209uzn77ew/QOHKdv6CS9iW56k/30kqHPceh1Hb93HBLG0JLJFIXJFxf0dZ5H2f9FU4PQuddvE3HDkEnMzJ4qnXGgbjE0rsi25cPjhmUQjJZ7hyIiIiIiIiIiIiIiIiLTriKC5oWywfGfG2P+GNgMvAt4PeBC/m+z9cD7gfcbY/YA38QPne+f+R2LiEyPh148wc13beVQV2nhuN+4eDHGwLefODjhOmvhG7/Yz/1bj/GJN6/nzecumNYw02AyzRd+vIuvPrqPTAlh+ebqMDe/eR3Xnbdw1oesGqtCXLtpQbm3ISIybay1pLwU8UycZCZJPJ3tM8MVw3PVvwtb4bpkJslgejAfGC8Kiqf6FRKXU2Yw1IfraYo20RhppCnSRG24Nh8Ynyg0njsOu+FZ/3OIjMHzYOAEdB+E7v3QfQB6DmK6DxDrPkis+wDzz/avOWdbyNwJ+KHxfIC8IExevwQCoXLvUERERERERERERERERKSsKi5onmOtTQD/BfyXMWY+8Nv4ofMNBcsMsAr4FHCLMeYR4BvA/7PW9s/wlkVEpsSJ3jifum8733v+aEnr18yr5rbNm7h4WSMAb7uwjY/fuZUXjvVNeLv2vgR//O1n+M6TB/nM9RtZ1jz1lcN/8sJxbr5rG4e7SwvsvPPlS/izN66lLjZzldZFRM4GuWq9uUD3QHqAwdTweCA54Pep4dY92M2h/kOkbIo0ab7246+RJu0Hx73hALnlzN9xQ2QyrnFpiDTQFGmiKdo0qm+MNOaPGyINBJwz/E9dayE1BMkBSPZn+5EtO58a9MdeBmKNUD3Pb1Utw73CqjPHWug5CMe3wYnt0PVSNlh+AHoOnX1BaoFApCBAvry4MnltG7gV+6sxERERERERERERERERkbKbFX9Ns9YeA/4W+FtjzAXA7wC/ATQXLHOAK7LtH4wxdwLftNb+aIa3KyJyWjKe5T8f38/ffP9F+hLpSdeHAw4fvGo177t8BaGAk5+/cGkj9/7xZfz7Y/v4+x/tYiiVmfA6j+zq4A2ff5g/unIVv//qFYQD7hk/luO9cT517zbu33KspPXnzKvh9rdu5MKljWd83yIi08mzHhkvQ8pLkbEZ0l463xeOMzaDtTbfe9bzx1gynt/n57Ln8w2v+HhEs9j8/Qyk/MD4QGqA/lS/Hx7P9oVzA+kBPOud2YOf+PVLIhNyrP8fny5+H7SWgPX7egtN1tBkDY24NOHSZAI0mRBNjt/qTBgnHYbBACQS4LSD2wPuAXCC4Ib8sKgTBDfbcmMnAJlUNhQ+RlA8OTg6TJ4agDP9nCkUbYCqVqjOtXl+X5UbZ0PpsebpDb2OG6DvL+6N41dzblhe2VWd471wYgcc3zocLD++DRK95d7Z1AjX+i9eiDb6H0OpQeg9An3HZndg3glAqBoCYXDD/seXm22BcHE/2dxE50PVfrXymgXgOJNuS0RERERERERERERERERGmxVB80LW2qeBp40xHwHeBLw72wfxK5wDxIDfAn7TGFNrrR0sy2ZFREq0/UgvN965hWcPdpe0/oo1LXzm+g0sbRq7CnnQdXj/FSt507kL+dQ92/jh9uMTXi+Z9vjcj3Zy1zOHufWGjVy6qnnC9ePJeJZv/eIlPvvDnfSXEJaPBB3+5HVr+L3LlhN0Ff4QOZvF03GG0kMkM0mSXpKUlyKVSZHM+OOkl8yPUxn/ONeXPO/518uHwQsC4xkvQ9qmRwfGC+YzNnPmYW2RCQScAEEnSMAECDgjmnEJAAFr/YbBtdYPb+fmrMW1Hq71CHgeAZvB9fwWzKRxvWzLpAlmUriZpL/WQgCLa8HFFh0HsvcRsMPzw/1Yc7nbFI79VwWf1Ya6/Nbx4iQLDcSaigPpucro1a3+GAuJsULiufF457LHp/p1zDh+1efGZdmq0MuL+0jtaT4pp8DLQOfe4UD58e3+uHv/9N/3lDB+UDzW6P/7Rhuz48aCcdOIcYP/QomxWOt/PPUegb6jfus9Cn3ZEHpufqB9Zh9mrHn4Y3VU3zpc7T9Sr+C3iIiIiIiIiIiIiIiIyCwx64LmOdbaNHA3cLcxpgn4TfzQ+YWAxQ+dm/GvICJSfoPJNJ//8S6+9ug+Mp6ddH1zdZhPvGU9bzl3AcZM/iVuUX2Ur7zrIn60/Ti33LONw91DE67f2zHAO7/6OJvPX8SN166jpSZc8mPZeriHG+/cwvOHekpa/5pzWvjM9RtZ3Bgr+T5EpHKlMin6Un30JnrpS/bRl+yjN9VbdJyfT/YW9X3JPpJestwPQc5SQSdIxI0QDoQJu+H8OOJGiAQiRXO5cSQwfC7shovWhdzQcGA8HxIfHRwPWggM9eDGuwkMdeIOdGIGT/rB0IF2GOiA/g4YOO6Pk/3lfqpkRlgY7PDbie3l3ozPetBzwG/7Hh59PtY0dgC9cbkfKi7hZ9YiAycLKpRvy/Y7IB2fmsczVZwg1LX5Fd/rFvtV6aPZkPjI4HikDpwzf9egPGOGg+rzN46/LpPyg+d9x/wQeu/RgmB6NpTed3Tiry/h2rFf9JALjefPNY8fjBcRERERERERERERERGRWWvWBs1HSAJD2SYiMis8uOM4n7h78vB3zm+9fAkfu3otddFTD3C8fv08XrWqiS88uIuvPbKP9CSh9jufOcyDO47zsavX8s5LluA44weEBhJpPvejnfz7Y/soIStPS02YW96ygWs3zS8pLC8iM8taS2+yl/bBdjriHXQMdXBy6CQ9iR4/FJ4qCIznQuSpPobS+jFMZk40EKU6WE11qJqaYA3VoWqqg9XUhGqG5wvH2TVRN0LEDRN2Q0ScEGEnhOs4fnVg6wF29Dg/Zyc47w2PkwN+MHzgYLZv90PDufB4bi7eXb4nUGQqDZ702+EnR58LxqBhWUEAfdlwEL1mfrZK+faCSuXboP/YTD+CsblhqF/sB8lzYfL6pcNz1fOmNjw+Hdxgdr+LJ14X7x0OoycH/dB4dStUtUJILwoVEREREREREREREREROZvN2qC58dOJb8SvYn4dEMmeKiHmKCJSPsd64nzq3m08sLW0EM3a+TXctnkTFy5tOKP7jYUC/MU169h8/iJuunMrT+7vmnB9bzzNTXdt5f89dYjbNm9kw8K6UWt+uO0Yt9yzjSM9k1eYNAZ++xVL+dM3nkNtRNUORWZaMpOkY6hjzNY+1M7JoZO0D7XTMdRB2kuXe7syh+SrgTvhfFXwUS0QHjcoPjIwXhWqIuiM+D5irR907TkEvYeh5zAcf2F43HvYr9qrj22RmZUa9CuzV0p19kLBWEGAfElBqHypP1fVAo5T7l3OjEit31rWlHsnIiIiIiIiIiIiIiIiIlJhZl3Q3BhzLvAu4J3AvNw0fsA8Vxp3CLgb+Ia1dnDGNykiMoaMZ/nWL17isz/cSX9i8qBbJOjw4det4XcvW07QnbqQy9r5tXzn91/Jd586yF8+8ALdg6kJ1z97sJu3fOlR3vOq5Xz49WuoDgc40j3ELfds44fbj5d0n+sW1HL75o2cv+TMwvIiAqQTfsXkRB820U/PUAcdyR46kj20J7o5meyhIzE8bk/453rTA+XeuVSgaCBKVbCquAWq/DC3DdJxpIOQCREkyLo166irqsuHwyOBCCE3RMQd7kcGyYNOcGrevSLe64fFj71QHCbvPTQcJE9P/qInkTNmHAhVQ6jKb8HY8DH41er7T8DACb2woRLUL4GWddCwdESofCnEGv1XQoqIiIiIiIiIiIiIiIiIyLhmRdDcGNMK/BZ+wPzc3PQYSx8Bvgl8x1rbN0PbE5Fp8OPtx1nUEGXdgtpyb2VKbD3cw413buH5Qz0lrb/ynBY+ff1GFjdOz1vVO47h1y9ewuvWzeMvH3iB//fUoQnXexa+9ug+vvf8Ua572UL+45f7GUhmJr2faNDlI69fw3tetYzAFIblRWYNz4Nkvx8MT/b7LTHiODmQnSs+Hkz2ciLZx4nMACcycdq9BCfIcMKBE4EA7a7LiYBLSiG5WctYi4v/Q61jLQ74zYKh8Bw42Py5wnHMelR7lpjnUW0tVZ6XbZYqm+0LjqstVMVaiNUsJFa7mEBdmx+8rFsEdW1Q25YPX/b29vJQ10P5/V658kpqa6fg+7K14GUgkwQvBZkUxHvGCJAXhMgTvWd+v3KKDATC4IYhEPJ7N5idC2aPQ9lz2RYID4/zx8ERty0ch8Bxsx8PqeGPh8Kxl/Y/VvLjVMHHTjrbJ8cZF1zLDWVD4dmAeGFYvKhVjw6Q5+djEIiUFk72PIh3Q/9xP3ieC5/3H4f+dr8fyM23g/Wm/V90QsYtfrzJAeg7Ut49nYpQDczbAPPWZ/uN0LoOIqPfkUdEREREREREREREREREREpXsUFzY0wIuAF4N/B6wM2dwq9enrMX+BbwTWvtvpnco4hMj47+BB/97nP0J9K89/LlfOiq1cRCFfvlakIDiTSf+9FO/v2xfXh28vWtNWFuuW4D12ycPzUVYCfRVB3ms28/j7dd2MZNd21l94n+Cdcf643zlYf3lnTtq9a28qnrN9DWMD1heZGJZLwMg+lBBlODDKQH/D41kD9OpBOE3BDRQJRIIELEjeTHuUrN0UCUiBvBddzx7ygVh+4D0L0ful4qbt0HxgzHpoAO1+V4wM2HxU+4Lu1uYHgccOl3HAjlbmWAyBQ/S7NPyLOEsASt30LWErQQyo0ZPs6d9+cpWG8JWAiQ7bNh71wfLDy2lkB2HADcwjXZa7iF18odZ9c52GwwPBcgtxjIB8jL9hKB5GHoPgz8auzzgSjUtRGrms/L+g0ZN4yxGSI/vN9/IIVh3sKweD4AXBAMHjM8nJzJRzs3GccP1gaj2RYbPQ5VjXF+ZD/euZgfBNcLWU6f4/gv2og1+oHniXgZGOwsDp/3Z0PpA+3FYfXBk/6/f7ja/xgYKyQfqoLwBOdC1QXH2X6sf+/UEHTth6590LmvuO/a738+zzTjQNMqP0zeuiEbKt/gVynXx6uIiIiIiIiIiIiIiIiIyJSruOSmMeYy/MrlbwNy5cdy4fLcX477gO/gh8sfnfFNisi0uu17O+gZ8oMr//KzvXzv+aN85vqNXLm2tcw7OzU/3n6cT9y9lSM98UnXGgPvesVSPvrGc6iNBGdgd8VesaKJ+z94OV99dC9ffHAX8dTpV9WcXxvhluvW88YNMxOWl3EUVgzOBz5PZTzWXNoPIYZriluouvjYPb2P4YyXoTPeSV+yj4HUAAPpgXw4PBcQzx+n/eD4yOPceCg9NGVPZdAJEnGCRI1LxELEyxDJpImm4kTSCSKeR9haotYSsZaIl+3Dlt5oXT44fiIbKu90JwiuzyGOtdR4XrZZaj2P2vxxtmW8ovlYNkgeGhEiD2aD3vqKMkPSQ3ByF4GTu1haON9Rrg2dJaKNUNWSbU3D41jBuKrZ7yP1fpBZ5gbHheoWv03GZl+5OBM/YwWj0LrWbyN5Gf/dBkYG0Dv3+S+2mop3IYg1+ZXJ520crlTestbfl4iIiIiIiIiIiIiIiIiIzIiKCJobY5bjh8t/G1iemx6xzAN+BHwTuMtaO3lyU0RmnUd3dXDnM4eL5g51DfGer/+KN21awCfesp55tZVd1fdEb5xb7t3G/VuOlbR+/YJabn/rJl62uH56NzaJUMDhA69ZxVvOXcgn7t7KQy+2n9LtHQPveuUyPvqGNdSUISw/q3gepAb9lhzI9oOQGsj2hfOTnc/OpxN+GDxdEBKnhDL60yEQKQifV5MK13AyGOFEMER7IECHA+3G0mHTnLAJOjJDtKf66Uz145VrzxNIeSlSXoq+wkkDhBwIzf2wW30mQ3MmQ32mOChemw2Q1xQGyAvWVGWrd1cO41fsdUPgBPwXRDiBEeMguIHhseNmz2XPu4ER49xtsmvz44D/Io1kPyT6sn1/Qd83fJzWj7RzVriuODBe1Qyx5oLAePPwuWij/zElMplKeRGf4/pVxOuXAK8uPmetX6F9rEronfugf8TPyG4IWs7JBso3QOt6f1zdWjmPV0RERERERERERERERETkLFXWNIMx5n34AfNLc1PZvjBlthU/XP5/rbWlpTZFZFaKpzLcdNeWcc9/b8tRHt7ZzseuPod3vnwprlNZwRPPs/znEwf46++/QF88Pen6WMjlI69fw+9cuoyAWzlVSRc3xvi337mYH2w7xi33bOdY7+QhyI2Larl98ybObauf/g1WIi8Dfcf8yp49h7L9Yeg95M8n+rMh8WxQfAqrbZdTwkC769Lhuvmq3R2uS7vr0u4a2gNDdLhJupweyOA3qQghz9KcDZA3ZzK0ZDI05cZpLz/flMkw5S8bCdVApBbCtf6LEXLjSK3/AgU35LdAaHjsBrN9uGBcuGac826wIFxeoZXkM2k/cF4URh8ZTh/reACGOv2vNQMnyv0oKosThNqFUNcGtYugblG2b/M/xowBDBinYJw9xvj/RZIfT7a2cC47dkN+iDwQLtczIFJexmRfZNEEbReNPp8c9KueD570P1eaVp32u6GIiIiIiIiIiIiIiIiIiMj0KnfZvH/BD5WPTIt2AP8JfNNa+8yM7+osYIxZCVwCtAEhoAt4Afi5qsVLudz73BFeOjk44Zq+RJqb797G/zx9mNs3b2L9wtoZ2t3Edh7v4y/u2MJT+7tKWv+6da186vqNLKqvzGrIxhiu3riAy1a38Pc/2sm/P7YPb4xC01Uhl4+84Rze/cqlFRWWn1LWwkD76AB5z+Hh476jYOdWijoFHAsEOBRwORIIcDgY4GggkA2R+61vrv6bz2L1heHxbGC8KRskLwyW13inUW3cuAXB8Lrxw+LhEePCdeGayg18l4sbgGi9305XKu5/Pcq92KXnMPQcLDg+5AfU5wQDNfMLAuRtfoA8P14EVa3g6OuTSMUKxWDe+nLvQkRERERERERERERERERESlDuoHmhDPAQfvXyB/AzbhhjpiVFaq3tnY7rVjpjzA3AzcAF4yzpN8Z8HfiUtbZjpvYlAvC2C9uIBF0+fd922vsSE6599mA3b/mHR/m9y5bzJ69bTSxUni9n8VSGLz+0m3/+2R5SmTGS2CPMr41wy3UbeOOGeRgzhRXZvQwMdUFqEDIp/9hLg5fK9pnsfHp0K1qfu41/XJ1JcXNtmvdfOsDPdhyho3cQCxyw86hddj7v2XwtC5sbpu5xAIlMgmMDx4in42RsBs96+ZY7HjXvFczj4XnFa8Ybe14G0nGI90C8BxvvgUQPDPVCInsc7wU7XKF+VDzXALVVBedHi1mPxoxHQyZDQ8ajwfPH5azdmQaOB1wOBwIcDgT8MHkgwOGgP3fCdbFT+TEqZ6TWjdAaqqU13EBrpJmWWAutVfNorW6jpXoBLbFWmsINBIsqwo7x7zfmv2mJ69zQOLeXsgtGoGml38Zirf91Lv+CmYPZMHo2hN57CHqP+N8Dyi3aOH6AvHaRX6lclY9FREREREREREREREREREREZkQlBc0d4Kpsm26Wynrs084YEwa+BvzWJEurgT8Cft0Y8zZr7cPTvjmRLGMMbzlvIVesaeFvf/AC//H4AewE2e2MZ/nKw3v53vNH+fT1G7hq3byZ2yzwiz0nufHOLezrGJh0rTHw7lcu40/feA7V4Um+/FjrV54dPOm3gWw/2DH+3FA3Y0ecp8Y84B1Q/JXzMPBlF1rOgfnnwvxNsOBcmLcRYo0TPDzLyfhJDvUd4lD/Ib/Pjg/2HeTE4IlpexynxABRIFozbXdRk/Fo8LLh80yGRs+jPpPxQ+nZMHpjdk19xiM20SfECBmg3c0GyYMBDmdD5Uey7VjAJXMWhoajnkfMs0SsJWkgbhyGHEO6TM9FxI3QGmv1g+OxVlqj/nhebF5+riXaQiQQKcv+ZI4wZrhq+vyNY6/xMtB/Yjh43nOIRPteTu7bgrEZPBOgdf5CgpEqcAL+Cw/coN+cYPY4O+8ER4xzbazj7LpAGGoW+JWORURERERERERERERERERERKQiVErYOpecO/sSbzPAGOMA/w1cP+JUBjgA9ADLgbqCcy3AA8aY11lrfzEjGxXJqosGufWGTWw+v42P37mFF471Tbj+cPcQv/eNJ7lm43w++ZYNzK+b3kBm10CS2+/fwXefOlTS+rXzqvnsmxaxsS4JR34xHA7Ph8VPjp7LTFzRvWLYDJzY7rfn/ys/nahbwuF5qznUsIhD0VoOBRwOJXvywfKh9FAZN105+lyHPtfhQInFeSPecAC9IePlQ+gNGQ8POBIMcCgQ4EjA5WggULbw9FSKeR5Vnh+yj3mWKs+jylpi2cB4lfXy8zFb3Fd5lljB+ai1uOPcTwpIGEPcGOKOIW4c4sYw5GTnjCEejDFU3UQi2kA8WsdQuIZ4KEY8GCbuBoh7KYbSQ8TTcRKZBEPpIaKBKC3RbIg821piLbRGW2mtaqUmWDO1724gcrocF2oX+I2LAUj09vIrHsovufLKKwnWTsubDYmIiIiIiIiIiIiIiIiIiIhIBaqUoHnO9JXjHXY2prn+D6ND5v8MfMZaewTyYfTrgc8DS7JrYsB3jDEbrbU9M7RXkbwLlzZw7x9fxr89uo+///FO4ilvwvUPbD3GI7s6+NM3rOG3X7kM15naT3drLfc8d4RP37udkwPJCdcaPF4Z3M1fLH2Rjb0/w/znkSndS7lZ4KTjcCgbbM732fEJ12JTu+DErnJvdU6JOw5HHYejgUr79l26IIYWXFqsoSXj0ZzO0JKK05IYoiWdoiUbos8Fw50Z25e/t+qaNmhYCg3LCtpyv481+pWhRUREREREREREREREREREREREzgLlTqodYGbC5WctY0wT8PER039hrf2rwglrrQfcaYx5AngUWJY91QZ8BPjkNG9VZExB1+H3X72Sazct4BN3b+WhF9snXN+fSHPLvdu545nD3L55ExsX1U24vlQHTg7y8bu28MiujnHXGDwuNDt5k/s414efpDFzksRheCIcZk9NNQnHkMaQNpAyw+N8XzhnDCmyc/k1I9Zj/OsUzFnAwX9FjQGMBQc7fAw4Njf2553suvz57Jfl3Lpc0Dd3nbgxHA4EGHJmKgIss0E0EKU52kxLtIWWWAst0Rb/ODvOzdeGaseu4G0tpOOQ6PP7TCrbkuClRhyn/T4352XnM+nS11sPahYUB8rrFkMgNMPPnIiIiIiIiIiIiIiIiIiIiIiISGUqa9DcWrusnPd/lvgYUFNw/DDw1+MtttYeNsa8F/hxwfSHjTFftNaenKY9ihR77AsQqoa2i6B1A7gBFjfG+LffuZgHth7jlnu2caIvMeElnj/Uw3X/8Ci/+6rlfPj1a6gKn96Xu1TG42uP7uPz41RULwyXX+M+Qavp4sVQkLuiEX4RbeGZcJiEAtkyyzVGGmmrbmNB9QLmx+bTEvND5K2x1ny4vCpYNXaAvFTGQDDqNxERERERERERERERERERERERESm7clc0l2lkjHGA94yYvsVaO2EVeWvtg8aYR4DLs1M1wDuAf5r6XYqM4Hn0PfJZauK9/nEgCgtfBosuxLRdxLWLL+Kyj1zBZ3+4k2/9cj8TfTR7Fr766D7u33KUT1+/kdetn3dKW3nuYDd/fscWdhztLZofGS63gV5+EY3wd9EIj0cX0eW6p/ig5VQZa3Hxq647WBzAzY7Hnc9WaHexOBZchqu6Z68KbhDjhCAQBDcEbgiT7XFD4ATwv7SO3NDIw+EJay29yV464530JnupRPXhehZVL2Jh9UIWVS/Kj3Ph8mhA4W8REREREREREREREREREREREZGzjYLmc9ulQEvB8V7gpyXe9msMB80BbkBBc5kB6RM7uGJ+HbVeDcuTKVakUqzo3sqK9mdY/sQ/MT+TobZ6Hp9edBH/+1Ub+OILddzbMZ8Bxg/CHumJ895vPskbN8zjlus2sKBu4tBsfyLNZ3/wIt/4xUv5IHthuPzy4BPsj8b5RTTCe6MR9gdrJryejC/qeSxOpWlL+y0/TqVp8DycXKAccK3NBsVH5bpLZ1xoXAGta6FlLTSfA/VLoG4RVM8Hd3q/Laa8FD2JHrriXXTFu+hMdA6P4510J7rz4654F92JbjI2c8b3WxOqoa26jYXVC4vC5LlAeVWwagoenYiIiIiIiIiIiIiIiIiIiIiIiMwlCprPbW8acfyjyaqZF64dcfwaY0yVtXZgCvYlMq6D+35M2hg6XZfOqMtT0UjR+ajnsTyVYkXnL1lx7BFe76V4f02aeHI+z2dW8qxdxbPeKnbaNjyKK0//YNtxHt3VwZ++8Rze9cpluM7ouPKPth/nE3dv5WhPHIPHRWYnV7u/ZGnV07wYTfHjaITPh6vxjMLlpTAWWjPpojB5W2o4VN7geacfGp+IE4SmVdByjh8oz/VNKyEQno57LEnQCdIcbaY52lzSes969CX7/DB6YjiAPlYwHWBe1byiAHmurw3VTufDEhERERERERERERERERERERERkTlIQfO57WUjjn9e6g2ttUeMMS8By7JTIWA98Kup2JjIePYeeWLC80OOw/ZwmO3h4rBwwFqWpF5kRWor16ZSvC8J6cQ8TiRWsTWzhme9VRynkYFkhk/du507nj7M7Zs3samtDoDjvXFuuWcb3996hAvMi7w19ghVVdvZFrN8JRJmyIlN22Oe7aKBKG01bbRVt9FW08bimsX58cLqhYSTQ3B8KxzbAkef9/v2HeB5Z37nbgia14wOlDeuADd45tcvM8c41IXrqAvXsSz/5VhERERERERERERERERERERERERk+iloPretG3G8/RRvvx2Kko3rUNBcptm+rhfhNPLBaWPYGwqyN1R44ziwlQXpZzk/maI15WISTfQmlnLg+AZ+48vH+fVL17GsKcIDP/5v2sI/5Ya2/TwXNXwzEAAi49zbqasN1dJW00bACRAwAYJO0B+PbGZ4PGqNKV5bdN4EcB0XxzhYa/HwwPoVsS0Wz/qh7tyxtTY/nzsec212Xe6a1lqMMbTGWmmr9kPljZFGjJmgLnk0DMsu81v+HywB7S9kg+fZ8PmxLZDsH/sagUg2UF4QJm9dB/VLwdW3MhEREREREREREREREREREREREZGppnTeHGWMiQJLRkwfPMXLjFx/zunvSKQE1rK3thWGTvVDdWJHAwGOBnJf7vqArcBWmjIZth52+dWxDC8tddkKnFbKfQxBJ8j5refzigWv4JULX8m6xnW4jjsl154TAmFYcJ7fcjwPuvb5wfOTe4qrldcvAT1/IiIiIiIiIiIiIiIiIiIiIiIiIjNGQfO5qxkoLDGcAk6c4jUOjzhuPaMdiUzGGPbGamFoZu6uy3XpigJMTYB5TcOafLD8gtYLiAVjU3Lds4bjQNNKv4mIiIiIiIiIiIiIiIiIiIiIiIhIWSloPndVjzgetNbaU7zGwCTXPGXGmFag5RRvVpQ67e/vp7e390y3IqdpYGBgwuMzdfslt7O/bz8v9b3ES30v5ccn4yen9H6mQnO4iYvnXcLFrRdzUctFNEWa8ufSQ2l6h/RxKiIis9d0f88XERGR8tP3exERkbODvueLiIicHfQ9X0REZO7T9/uzU39/f1nv35x69lhmA2PMxcATBVPHrbXzT/EafwD8Y8HUfdbat5zhvm4BPnkm1/jiF7/IkiVLzuQSMgsNeUN0eB2cyJyg3WunPdNOu9dOl9eFZWa+jkWsy/LAClaE1rAysJIWpwVjzOQ3FBERERERERERERERERERERERERE5RQcOHOCDH/xg4dRGa+22mbp/VTSfuyIjjpOncY3EiOPoae5F5IxFnSiLncUsDiwumk/ZFCe9k/ngeXv6OJ3pI5yw3aTMmQXQHQsraGBpeCPLQ+ew2F2Ma9wzuqaIiIiIiIiIiIiIiIiIiIiIiIiIyGygoPncFR9xHDqNa4QnuaZI2QVNkPnufOa7xQX7PevR5XXR7rXTmTpEd/Il2r12jjDAgDP+9drSDue4i1kUu4QloXOImJGv2RARERERERERERERERERERERERERmfsUNJ+7+kccn05admQF85HXPB3/CHz3FG+zErg7d3DJJZewbt26KdiKnI6BgQGeeOKJ/PEll1xCVVVVGXd0aqy1nIx3cPDo42x96TF2duzCsw6rG9Zw9cXvYX7DynJvUUREpCLM9u/5IiIiMjl9vxcRETk76Hu+iIjI2UHf80VEROY+fb8/O+3YsaOs96+g+dw1MhQeM8YYa609hWuM/Ap0xkFza+0J4MSp3MYYU3RcXV1NbW3tmW5FpkhVVdWs+/eoq6tjxbyVvPpl7yz3VkRERGaN2fg9X0RERE6Nvt+LiIicHfQ9X0RE5Oyg7/kiIiJzn77fnx2qq6vLev9OWe9dplMHUBgqDwKtp3iNRSOOTykgLiIiIiIiIiIiIiIiIiIiIiIiIiIiIrOTguZzlLV2CDgwYnrJKV5m5PoXTn9HIiIiIiIiIiIiIiIiIiIiIiIiIiIiMlsoaD63jQyGrz/F26+b5HoiIiIiIiIiIiIiIiIiIiIiIiIiIiIyByloPrc9O+L40lJvaIxZACwrmEoB2898SyIiIiIiIiIiIiIiIiIiIiIiIiIiIlLpFDSf2+4bcfw6Y4wp8bZvGHH8kLW2fwr2JCIiIiIiIiIiIiIiIiIiIiIiIiIiIhVOQfO57edAR8HxCuA1Jd7290Yc3z0VGxIREREREREREREREREREREREREREZHKp6D5HGat9YCvj5j+5GRVzY0xVwGXF0z1Ad+Z2t2JiIiIiIiIiIiIiIiIiIiIiIiIiIhIpVLQfO77a6C/4PjVwJ+Nt9gYswj46ojpL1hrO8ZaLyIiIiIiIiIiIiIiIiIiIiIiIiIiInNPoNwbkOllre0wxtwO3F4w/ZfGmCXArdbaIwDGGAe4DvgCsKRg7RHg72Zqv+MIFR7s3r27XPsQoL+/nwMHDuSPd+zYQXV1dRl3JCIiItNB3/NFRETmPn2/FxEROTvoe76IiMjZQd/zRURE5j59vz87jZGZDY21broYa+1M3p+UQTZEfjfw5hGnMsB+oAdYDtSPOD8EvN5a+9h073Eixpjr8PcvIiIiIiIiIiIiIiIiIiIiIiIiIiJytrreWnvPTN2ZM1N3JOVjrfWAtwP/NeKUC6wAzmd0yPwkcG25Q+YiIiIiIiIiIiIiIiIiIiIiIiIiIiIy8xQ0P0tYa+PW2t8E3gY8O8HSAeAfgfXW2p/OwNZERERERERERERERERERERERERERESkwhhrbbn3IGVgjFkFvBxYBISAbmAH8Ji1Nl7GrY1ijKkDXl0wdRBIlmk7AiuBuwuOrwf2lGkvIiIiMn30PV9ERGTu0/d7ERGRs4O+54uIiJwd9D1fRERk7tP3+7NTCFhccPwza23PTN15YKbuSCqLtXY3sLvc+yhF9hPinnLvQ3zGmJFTe6y128qxFxEREZk++p4vIiIy9+n7vYiIyNlB3/NFRETODvqeLyIiMvfp+/1Z7Zly3bFTrjsWERERERERERERERERERERERERERERkcqkoLmIiIiIiIiIiIiIiIiIiIiIiIiIiIiIFFHQXERERERERERERERERERERERERERERESKKGguIiIiIiIiIiIiIiIiIiIiIiIiIiIiIkUUNBcRERERERERERERERERERERERERERGRIgqai4iIiIiIiIiIiIiIiIiIiIiIiIiIiEgRBc1FREREREREREREREREREREREREREREpIiC5iIiIiIiIiIiIiIiIiIiIiIiIiIiIiJSREFzERERERERERERERERERERERERERERESmioLmIiIiIiIiIiIiIiIiIiIiIiIiIiIiIFFHQXERERERERERERERERERERERERERERESKBMq9ARGZddqBT404FhERkblH3/NFRETmPn2/FxEROTvoe76I/P/27jtc1qusG/DvSSUJkSQQWigJLVJVqoBCDJ0gJdItNMHPz08FFQUbKAhKUWwIAlLEKEXFgkqTEhEFQUCBAIEkNBNIIJBen++PmWNm3jN775m9Z885J7nv69pXzlqz1nrW2ifXWfO+88x6gasGez4AXPnZ71m56u5dPQcAAAAAAAAAAAAAAHYje+3qCQAAAAAAAAAAAAAAsHuRaA4AAAAAAAAAAAAAwBSJ5gAAAAAAAAAAAAAATJFoDgAAAAAAAAAAAADAFInmAAAAAAAAAAAAAABMkWgOAAAAAAAAAAAAAMAUieYAAAAAAAAAAAAAAEyRaA4AAAAAAAAAAAAAwBSJ5gAAAAAAAAAAAAAATJFoDgAAAAAAAAAAAADAFInmAAAAAAAAAAAAAABMkWgOAAAAAAAAAAAAAMAUieYAAAAAAAAAAAAAAEzZZ1dPANizVNVNk9w5yQ2S7JfkG0lOSvKv3X3hrpwbAOzOqqqSHJnkthnto4ckuSijvfSzST607L20qg5Ocvckt0jybUkuSHJaRvv2V5Yc69ZJ7pDkekn2TnJWkv9O8u/dfekS46xsTQCwu6uqqyW5W5JvT3JokouTfCmj/ffzS461kvsBq1wTACxbVR2d5Dsy2i8PzOia9Ywkn0nyse6+aAtj2/cBYBepqv2TfFeSW2a0Zx2Q5FtJvprkI0lO7u5eQpx9ktwlyW2SXDPJZUn+J8mHu/sTWx1/EOuIJHdNcuNcsZ7PJPmX7j53iXFWtiYAWDXX6luOJQ9xD1FLeK8LXAVU1UOT/EqS26/R5Nwkr0nya9195oqmBQC7tao6NMlDk9w/ybFJrrVO80uSvDXJS7r7vVuMe1SSX0/yyIwuyIY6yXuTPKu737eFOJXkCUl+IaPE71nOSvJHSX6zu8/bQqyVrAkAtktV/XmSRw+qT+vuIzcx1uFJnpXk8UkOWqPZh5M8p7v/ZtHxB7EemhXcD1jlmgBgmcZfiP7JJD+a5Kh1ml6c5INJ3tzdv7vA+PZ9ANhFquoOSZ6W5OFJ9l+n6ZeTvCrJ73b31zcR5+pJnpHkx5MctkazTyf5rSSv2UpSe1XdM8mzkxyzRpOLk7whya9296lbiLOyNQHADuMvUt05oy853TnJHZMcPNFkU/fkZ8Rxrb4F8hD3PBLNgXWNv539qiQ/OGeXryV5uAQvAK7qquoPM/qQeVZS9EZel+Qnu/tbm4j7yCSvzujktI10khckeeaiN3Gr6pAkb0xynzm7fD7JgzdzQsmq1gQA26Wqvj/J3854aeGb2lV1TJI3Zf0vsE16XZInd/fFC8ZZ2f2AVa0JAJatqh6U5JVJrrNAtzO6+7pzjn9M7Pv2fQBWrqr2SvK8JE9PstcCXc9I8vju/qcFYt02yd9k/S+sTXpbkkd19zcXmNeOg2N+K6M1zeO8JI/r7r9cJM441krWBABJUlV3T/KzGSWXX3+D5ltONHetnmQPWBPLJdEcWNP4Avqvkjxk8NJlSb6Q5JsZXRxeY/D6+Unu3d0f2PZJAsBuqqr+I8kdZry047GQZyTZN6PHUg730mR0ytm9FnlEZVU9IslfZOcb319L8sUk105yRJIavP6S7n7aAnEOSPKejL4FPuniJKcmuSjJTbLzN52/luRu3X3yArFWsiYA2C5VdY0kn8hovxpa6KZ2VX1Pkrdn9EjrSWcnOSWjx1jeMMneg9f/KqObsXPdCFzl/YBVrQkAlq2qnpbkxdn5evTCJF9JcmZG+9v1Mv1B7VyJ5vb9KfZ9AFaqql6R0UEyQ+cn+VySC5JcM6P74MP3AhcneWh3/+MccY5O8i/ZOanr3IwObzkgyZEZfZYw6QNJju3uCzeKMRHr95P8v0F1J/lSRvfbbzRjHpcleUR3//UCcVa2JgBIkqp6apLfmbP5lhLNXatP2W3XxPIt8s1L4Krn6dn5H/eXJblRd9+ku78ro8dcHZ/RP/g7HJjkjeMP0wGA0UXYS5Mcl+TQ7r5hd9+xu78jo5vR35fkxEGfO2f0OKi5VNVNMzr1e/I9/scyujF77e6+Q3ffMMktM7qAm/TUqjp+gfX8dqaTzC9P8pwk1+3uo7v7dhm9R3hCkm9MtDs8o/cIw4vQ3WFNALBdXpgrkszP2+wgVXVoRo+unrzZe1qShyY5rLtv391HZfRh7csH3Y/P6FHf81rJ/YAVrwkAlqaqnpTRtfFkYtk/JnlAkkO6+6bdfZfuvl13H57Re4EfTvKXGSWfbTS+fX+afR+Alamqh2fnJPNPZnR//xrj/f0u3X2zjJ5q8qxM7+/7JXnteO9bL84+2fnk0K8neVxGe+N3dPctklw3yW9kdB9+h7tm9GTPedf0yOycZP6XSY7u7huN77UfnuTeST4+0Wbv8VqOnDPOytYEAHOa+1C3jbhW3zPWxPZwojkwU1VdM6NvJR08Uf3M7v7NNdofkdE3k4+cqP717n7Wtk0SAHZj4xPNr5nkuUlO6O4LNmi/d0bJ6E8ZvHRsd797jngnJHnMRNWHMvpm77dmtK2MLtomY30uybd396UbxPn2JP+d6W8sP7a7/3yN9rfO6D3CIRPVT+zuV68XZ9x3JWsCgO0yftzkP2eUhHZ5kmdk+kPTuU9PqarnJXnmRNUpSb6nu7+yRvtfzOhD2x2+meSo7v7GrPYT/VZ2P2BVawKAZaqqmyX5ryRXG1ddkuRxa10Xz+h/6Bz7sX3fvg/ALlJV/5XkNhNV/5HkmO5e88vjVXVskrcl2Wei+he7+/nr9HlKphO2vpHR3vjJNdo/NsmfTVRdmuRW3f3ZtWKM++2X5NOZ3r9fluT/zjqBdJzE9c4kd5yofl13P269OOO+K1kTAEyaONH8nCQfzugz5Q+O/3tUksnP2jd9orlr9T1jTWwPiebATFX1W0l+fqLqfRldQK/5j0ZV3Suji84dzsloMzlre2YJALuvqjouyTu6e8OTyib67J3k3zJ9A/eE7v7BDfrdOqNTRnac/H1xku/s7k+t0+dq4z43n6h+Sne/YoNYb0jyyImqP+3uH9mgz5OSvHKi6rQkN+/uS9bps7I1AcB2qKoDMkpCu+m46neTvCWbuKldVYdn9Hjpq09U37u737VOn0ryniT3mKh+Xnf/0gaxVnI/YJVrAoBlqqp/zujJZDs8srvftMTx7fux7wOwa1TVTTI6wGTSnbv7Q3P0fVmSH5uo+kB3322NtvslOTnJDSeqn9Tdf7JBjD9N8kMTVfN8fvDjGR1ys8Nnk9yuuy9cp8+tkvxnRqezJ8llSW7T3Set02dlawKASeOnZO+f5KTuvnzw2jFZQqK5a/X/7bNbr4nts9fGTYCrmqraK8kTBtXPXu8f9yQZbzQnTlQdnOlENAC4yujuty6SZD7uc1l2fjTk/ebo+sRMv7f/i/USssexLkwy/Ibw8HGgU8aPzjp+cpgkz55jfq/OKLl8hxtn9AjO9axkTQCwjZ6TK5LMv5Dkl7cw1qMzfbP3fevd7E2S8TX8rw2qnzi+ETzTiu8HrGRNALBMVfWQTCeZv2mZSeZj9v3Y9wHYZY4elL80T5L52F8Oyjdbp+39Mp2QfWpG99E38uyM7svv8IjxCeTrGd4jf/56SeZJMj6B/A0TVXtn5/cNQ6tcEwD8r+7+XHd/cphkvmSu1bNHrIltItEcmOVuSQ6fKH8+o28jzeNVg/JDlzAfALgqOXFQvmZVHbhBnwcPysP9eC1vSDL5uM87VdX112l/XKYf/fme7v78RkHGF/XDG8oP3aDbqtYEAEtXVXdK8tSJqp/o7nO3MORDBuV598V3Z/Q4yh2um+S712m/yvsBq1oTACzTUwbl4Yery2Dfv4J9H4BVO2xQ/uICfb8wKB+yTtvh3vjqjZKtklEiXZL3TlTtm+SBa7Wvqhskuf1E1blJ3rhRnLHhfj2c89BK1gQAu4hr9Svszmtim0g0B2Y5blB+xzwXgTvaDsrHVNVBS5gTAFxVfGNG3Zqnd1TV0Zk+GeW8JP86T6DuHrat7Pw+YNLwtbfPE2ds+B7hQWs1XPGaAGCpqmrfjG5+7j2uelN3//0Wxrt6ph9Dmcy5B4+v5d85qF5zD86K7geseE0AsBRVdUSmnzr20e7+xJJj2Pcn2PcB2AW+OSgfsEDfYdsz12m7knvtM+K8f3wPfR7vT3L+RPnoqrr5ArG2a00AsFKu1aftrmtie0k0B2b5zkF5rsSuJOnur2T0GKwd9ktyq61PCQCuMo6YUXfWOu2/c1D+YHdfukC8928w3nqvzf0eIcmHk1w0Ub5+VR2+RtthnO1cEwAs2zOT3Hb857OT/NQWx7t1Rqd57XBKd5++QP+V7PUL3g9Y5ZoAYFnunyu+SJaMTvBaNvv+zuz7AKzSRwflWy6QzHTnQfmDsxpV1XUyOvlzh4uSfGTOGMnq9vtLs/MaZsZa8ZoAYNVcq+9sd1wT20iiOTDLLQflTy7Yf9h+OB4AsLbvHZRP6+6L12m/kn17fDrrzQbVc8fq7ouSfG6eWDPqvRcBYI9QVbdK8ksTVb+w4M3ZWVa5L64qlr0egD3RnQblj+34Q1V9V1X9XlV9rKq+UVXnV9WpVfWOqvq58Wno87Dvbz4OAGxZd38p08lP+2eOL5BX1f5JnjqoftUazYd72ckbfAYwNNwbb1ZV+8wZa1X7/XauCQBWzbX65uOsOhbbRKI5MKWqDkhyo0H1FxccZtj+6M3PCACucp44KP/DBu2H++x27ds3STJ5Y/eC7l7v0Z9bibWqNQHA0lTVXhl9iLzfuOrEJK9YwtDL3hdvXFVXGzZa8f2AlawJAJZsmGj++aq6elW9KqMTO38yye2SHJLkgCQ3TnLvJC9M8tmqet74S9zrse9vHMe+D8B2+4Ukl0+Uf72qHrdW46o6JMmbM5309Hfd/XdrdNnS3tjdX0ty4UTVfkmO2o5YM9pvy36/4JoAYNVcq28cZ3dYE9tIojkwdK0kNVG+JMlXFxzjy4Pytbc0IwC4iqiqBya5x6D6NRt0G+6zX1ow7HDfPnzOOMN+m4m11nuEVa0JAJbpp5J89/jPFyd5Snf3Esbd6r54RpJLJ8p7JbnmjHarvB+wqjUBwDINn/J1eZL3ZecvjM9yQJJnJvmHqjp4nXb2/Z3Z9wFYqe7+lyT/L8mOa/p9krymqj5YVc+oqodV1f2r6oeq6vczepLngyaGeEeSx6wTYqt7Y5J8ZYMxdxjeG9/qvfbt2u+T+dcEAKvmWn1nu+Oa2EYeNQMMXX1QPn8TH4yft8GYAMBAVR2W5OWD6rd09wc36DrcZ4f78EaG7fetqv27+6Ilx5nVZ633CKtaEwAsRVUdleS5E1XP7+6TljT8lvbF7u6quiDJZFLbrD14lfcDVrUmAFiK8ZNLhgniv5fku8Z/7iR/n9FTyb6U5KDxaz+c5PoTfe6d0RfKf2CNUPb9Afs+ALtCd/9RVX06o/3+1uPqO2XnJ5xM+nySFyR5RXdfvk67ldxrH58guvcWY63qnv4isQBg1VyrD+yma2IbOdEcGBr+Y3zhzFbru2CDMQGACeMPrF+f5AYT1d/M6GTUjWx17x7u27PGXEacWbHmvbDdrjUBwLL8cUYJZUlyUpLnLXHsVe3Be9Jev0gsAFiGa2T6BK4kuf34v2cluWd3P7i7X9bdf9/db+juZ2T0OOcTBv2Or6ofWSOOfX9rsQBgabr7nzNKLH9Rkss2aP6FcbsTNkgyT3bdfr+ZWPZ7AHCtvpVY3iNcSUg0B4auNihfvIkxhqeFHrDJuQDAVcULkzxgUPdj3f3FOfpude+edcr3rL17le8RVrUmANiyqnpSRqeTJqPTTJ/S3ZvZJ9eyqj14T9rrF4kFAMuw1oeYlyU5rrtPnPVid5+b0anmbx+89ItVNUxcT+z7W40FAEtTVf8nyeeS/Fx2Phl86EZJXprk1Kp64gZtd9V+v5lY9nsAcK2+lVjeI1xJSDQHhobfHNpvE2Psv8GYAMBYVf1Ukp8ZVL+gu98w5xBb3buH+/asMZcRZ1astd4jrGpNALAlVXW9jE4s2+GVayWabcGq9uA9aa9fJBYALMN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- "text/plain": [
- "
"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "plot_performance(\n",
- " synth.Friedman(seed=42).take(10_000),\n",
- " metrics.MAE(),\n",
- " {\n",
- " \"HTR + E-BST\": (\n",
- " preprocessing.StandardScaler() | tree.HoeffdingTreeRegressor(\n",
- " splitter=tree.splitter.EBSTSplitter()\n",
- " )\n",
- " ),\n",
- " \"HTR + TE-BST\": (\n",
- " preprocessing.StandardScaler() | tree.HoeffdingTreeRegressor(\n",
- " splitter=tree.splitter.TEBSTSplitter()\n",
- " )\n",
- " ),\n",
- " \"HTR + QO\": (\n",
- " preprocessing.StandardScaler() | tree.HoeffdingTreeRegressor(\n",
- " splitter=tree.splitter.QOSplitter()\n",
- " )\n",
- " ),\n",
- " \n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Wrapping up\n",
- "\n",
- "This guide provides a walkthrough in the HTs available in `river`. We discussed about model inspection, memory management, and feature splits. Keep in mind that each HT variant has specific details and capabilities that are out-of-the-scope of this introductory material. The user is advised to check the documentation page of the tree models for detailed information."
- ]
- }
- ],
- "metadata": {
- "interpreter": {
- "hash": "b27b2a9f272874e098660428b28f5afa65c7850d82ff592660d49a141d883cd1"
- },
- "kernelspec": {
- "display_name": "Python 3.9.12 ('river')",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
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+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Incremental decision trees in river: the Hoeffding Tree case\n",
+ "\n",
+ "\n",
+ "Decision trees (DT) are popular learning models due to their inherently simplicity, flexibility and self-explainable structure. Moreover, when aggregated in ensembles, high predictive power might be achieved. Bagging and gradient boosting-based tree ensembles are very popular solutions in competition platforms such as Kaggle, and also among researchers.\n",
+ "\n",
+ "Although fairly lightweight, traditional batch DTs cannot cope with data stream mining/online learning requirements, as they do multiple passes over the data and have to be retrained from scratch every time a new observation appears.\n",
+ "\n",
+ "The data stream literature has plenty of incremental DT (iDT) families that are better suited to online learning. Nonetheless, Hoeffding Trees (HT) are historically the most popular family of iDTs to date. In fact, HTs have some nice properties:\n",
+ "\n",
+ "- one-pass learning regime;\n",
+ "- theoretical guarantees to converge to the batch DT model given enough observations and a stationary data distribution;\n",
+ "- small memory and running time footprint (in most cases);\n",
+ "- some of their variations can deal with non-stationary distributions.\n",
+ "\n",
+ "And the previous list goes on and on. Besides that, HTs also have the same advantages as batch DTs (`C4.5`/`J48`, `CART`, `M5`, etc.) do. We can inspect the structure of a HT to understand how decisions were made, which is a nice feature to have in online learning tasks.\n",
+ "\n",
+ "In `river`, HTs are first-class citizens, so we have multiple realizations of this framework that are suited to different learning tasks and scenarios.\n",
+ "\n",
+ "This brief introduction to HT does not aims at being extensive nor delving into algorithmic or implementation details of the HTs. Instead, we intend to provide a high-level overview of the HTs as they are envisioned in `river`, as well as their shared properties and important hyperparameters.\n",
+ "\n",
+ "In this guide, we are going to:\n",
+ "\n",
+ "1. summarize the differences accross the multiple HT versions available;\n",
+ "2. learn how to inspect tree models;\n",
+ "3. learn how to manage the memory usage of HTs;\n",
+ "4. compare numerical tree splitters and understand their impact on the iDT induction process.\n",
+ "\n",
+ "Well, without further ado, let's go! \n",
+ "\n",
+ "\n",
+ "**First things first, we are going to start with some imports.**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
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+ },
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+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import datetime as dt\n",
+ "\n",
+ "from river import datasets\n",
+ "from river import evaluate\n",
+ "from river import metrics\n",
+ "from river import preprocessing # we are going to use that later\n",
+ "from river.datasets import synth # we are going to use some synthetic datasets too\n",
+ "from river import tree"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 1. Trees, trees everywhere: gardening 101 with river\n",
+ "\n",
+ "At first glance, the amount of iDT algorithms in `river` might seem too much to handle, but in reality the distinction among them is easy to grasp. To facilitate our lives, here's a neat table listing the available HT models and summarizing their differences:\n",
+ "\n",
+ "\n",
+ "| Name | Acronym | Task | Non-stationary? | Comments | Source |\n",
+ "| :- | :-: | :- | :-: | :- | :-: |\n",
+ "| Hoeffding Tree Classifier | HTC | Classification | No | Basic HT for classification tasks | [[1]](https://dl.acm.org/doi/pdf/10.1145/347090.347107)\n",
+ "| Hoeffding Adaptive Tree Classifier | HATC | Classification | Yes | Modifies HTC by adding an instance of ADWIN to each node to detect and react to drift detection | [[2]](https://link.springer.com/chapter/10.1007/978-3-642-03915-7_22)\n",
+ "| Extremely Fast Decision Tree Classifier | EFDT | Classification | No | Deploys split decisions as soon as possible and periodically revisit decisions and redo them if necessary. Not as fast in practice as the name implies, but it tends to converge faster than HTC to the model generated by a batch DT | [[3]](https://dl.acm.org/doi/abs/10.1145/3219819.3220005)\n",
+ "| Hoeffding Tree Regressor | HTR | Regression | No | Basic HT for regression tasks. It is an adaptation of the [FIRT/FIMT](https://link.springer.com/article/10.1007/s10618-010-0201-y) algorithm that bears some semblance to HTC | [[4]](https://link.springer.com/article/10.1007/s10618-010-0201-y)\n",
+ "| Hoeffding Adaptive Tree Regressor | HATR | Regression | Yes | Modifies HTR by adding an instance of ADWIN to each node to detect and react to drift detection | -\n",
+ "| incremental Structured-Output Prediction Tree Regressor| iSOUPT | Multi-target regression | No | Multi-target version of HTR | [[5]](https://link.springer.com/article/10.1007/s10844-017-0462-7)\n",
+ "| Label Combination Hoeffding Tree Classifier | LCHTC | Multi-label classification | No | Creates a numerical code for each combination of the binary labels and uses HTC to learn from this encoded representation. At prediction time, decodes the modified representation to obtain the original label set | -\n",
+ "\n",
+ "\n",
+ "As we can see, although their application fields might overlap sometimes, the HT variations have specific situations in which they are better suited to work. Moreover, in `river` we provide a standardized API access to all the HT variants since they share many properties in common."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 2. How to inspect tree models?\n",
+ "\n",
+ "We provide a handful of tools to inspect trained HTs in `river`. Here, we will provide some examples of how to access their inner structures, get useful information, and plot the iDT structure.\n",
+ "\n",
+ "Firstly, let's pick a toy dataset from which our tree will learn from. Here we are going to focus on the classification case, but the same operations apply to other learning tasks. We will select the `Phishing` dataset from the `datasets` module to exemplify the HTs' capabilities."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "execution": {
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+ "shell.execute_reply": "2022-10-26T11:24:49.062194Z"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "Phishing websites.\n",
+ "\n",
+ "This dataset contains features from web pages that are classified as phishing or not.\n",
+ "\n",
+ " Name Phishing \n",
+ " Task Binary classification \n",
+ " Samples 1,250 \n",
+ "Features 9 \n",
+ " Sparse False \n",
+ " Path /Users/max.halford/projects/river/river/datasets/phishing.csv.gz\n",
+ "
\n"
+ ],
+ "text/plain": [
+ "\n",
+ "Phishing websites.\n",
+ "\n",
+ "This dataset contains features from web pages that are classified as phishing or not.\n",
+ "\n",
+ " Name Phishing \n",
+ " Task Binary classification \n",
+ " Samples \u001b[1;36m1\u001b[0m,\u001b[1;36m250\u001b[0m \n",
+ "Features \u001b[1;36m9\u001b[0m \n",
+ " Sparse \u001b[3;91mFalse\u001b[0m \n",
+ " Path \u001b[35m/Users/max.halford/projects/river/river/datasets/\u001b[0m\u001b[95mphishing.csv.gz\u001b[0m\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "dataset = datasets.Phishing()\n",
+ "dataset"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We are going to train an instance of `HoeffdingTreeClassifier` using this dataset. As everything else in `river`, training an iDT is a piece of cake!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "execution": {
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+ "shell.execute_reply": "2022-10-26T11:24:49.307072Z"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CPU times: user 174 ms, sys: 5.16 ms, total: 180 ms\n",
+ "Wall time: 192 ms\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
\n"
+ ],
+ "text/plain": [
+ "empty_server_form_handler ≤ \u001b[1;36m0.5454545454545454\u001b[0m\n",
+ "Class \u001b[3;92mTrue\u001b[0m:\n",
+ " \u001b[1;35mP\u001b[0m\u001b[1m(\u001b[0m\u001b[3;91mFalse\u001b[0m\u001b[1m)\u001b[0m = \u001b[1;36m0.1\u001b[0m\n",
+ " \u001b[1;35mP\u001b[0m\u001b[1m(\u001b[0m\u001b[3;92mTrue\u001b[0m\u001b[1m)\u001b[0m = \u001b[1;36m0.9\u001b[0m\n",
+ "\n"
+ ]
+ },
+ "metadata": {},
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+ }
+ ],
+ "source": [
+ "print(model.debug_one(x))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Our tree got this one right! The method `debug_one` is especially useful when we are dealing with a big tree model where drawing might not be the wisest of the choices (we will end up with a tree chart that has too much information to visually understand).\n",
+ "\n",
+ " **Some additional hints:**\n",
+ "\n",
+ "- the `max_depth` parameter is our friend when building HTs that need to be constantly inspected. This parameter, which is available for every HT variant, triggers a pre-pruning mechanism that stops tree growth when the given depth is reached.\n",
+ "- we can also limit the depth when using the `draw` method.\n",
+ "- in the case of tree ensembles, individual trees can be accessed using the `[index]` operator. Then, the same set of inspection tools are available to play with!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 3. Advanced gardening with river: grab your pruning shears and let's limit memory usage\n",
+ "\n",
+ "Online learning is well-suited to highly scalable processing centers with petabytes of data arriving intermittently, but it can also work with Internet of Things (IoT) devices operating at low power and with limited processing capability. Hence, making sure our trees are not going to use too much memory is a nice feature that can impact on both energy usage and the running time. HTs have memory-management routines that put the user in the control of computational resources that are available.\n",
+ "\n",
+ "In this brief guide, we are going to use a regression tree, since this kind of iDT typically spends more memory than the classification counterparts. However, the user can control the memory usage in the exact same way in `river`, regardless of the HT variant!\n",
+ "\n",
+ "We will rely on the `Friedman` synthetic dataset (data generator) from the `synth` module in our evaluation. Since data generators can produce instances indefinitely, we will select a sample of size 10K for our tests.\n",
+ "\n",
+ "We are almost ready to go. Let's first define a simple function that plots the results obtained from a given dataset, metric and "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:24:50.839592Z",
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+ "shell.execute_reply": "2022-10-26T11:24:50.868755Z"
+ },
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "def plot_performance(dataset, metric, models):\n",
+ " metric_name = metric.__class__.__name__\n",
+ "\n",
+ " # To make the generated data reusable\n",
+ " dataset = list(dataset)\n",
+ " fig, ax = plt.subplots(figsize=(10, 5), nrows=3, dpi=300)\n",
+ " for model_name, model in models.items():\n",
+ " step = []\n",
+ " error = []\n",
+ " r_time = []\n",
+ " memory = []\n",
+ "\n",
+ " for checkpoint in evaluate.iter_progressive_val_score(\n",
+ " dataset, model, metric, measure_time=True, measure_memory=True, step=100\n",
+ " ):\n",
+ " step.append(checkpoint[\"Step\"])\n",
+ " error.append(checkpoint[metric_name].get())\n",
+ "\n",
+ " # Convert timedelta object into seconds\n",
+ " r_time.append(checkpoint[\"Time\"].total_seconds())\n",
+ " # Make sure the memory measurements are in MB\n",
+ " raw_memory = checkpoint[\"Memory\"]\n",
+ " memory.append(raw_memory * 2**-20)\n",
+ "\n",
+ " ax[0].plot(step, error, label=model_name)\n",
+ " ax[1].plot(step, r_time, label=model_name)\n",
+ " ax[2].plot(step, memory, label=model_name)\n",
+ " \n",
+ " ax[0].set_ylabel(metric_name)\n",
+ " ax[1].set_ylabel('Time (seconds)')\n",
+ " ax[2].set_ylabel('Memory (MB)')\n",
+ " ax[2].set_xlabel('Instances')\n",
+ " \n",
+ " ax[0].grid(True)\n",
+ " ax[1].grid(True)\n",
+ " ax[2].grid(True)\n",
+ "\n",
+ " ax[0].legend(\n",
+ " loc='upper center', bbox_to_anchor=(0.5, 1.25),\n",
+ " ncol=3, fancybox=True, shadow=True\n",
+ " )\n",
+ " plt.tight_layout()\n",
+ " plt.close()\n",
+ "\n",
+ " return fig"
+ ]
+ },
+ {
+ "cell_type": "code",
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+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plot_performance(\n",
+ " synth.Friedman(seed=42).take(10_000),\n",
+ " metrics.MAE(),\n",
+ " {\n",
+ " \"Unbounded HTR\": (\n",
+ " preprocessing.StandardScaler() |\n",
+ " tree.HoeffdingTreeRegressor(splitter=tree.splitter.EBSTSplitter())\n",
+ " )\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In our example we use the `EBSTSplitter`, which is going to discussed later. For now, is enough to know that it is a mechanism to evaluate split candidates in the trees.\n",
+ "\n",
+ "As we can see, our tree uses almost 10 MB to keep its structure. Let's say we wanted to limit our memory usage to 5 MB. How could we do that?\n",
+ "\n",
+ "Note that we are using a illustration case here. In real applications, data may be unbounded, so the trees might grow indefinitely.\n",
+ "\n",
+ "HTs expose some parameters related to memory management. The user can refer to the documentation for more details on that matter. Here, we are going to focus on two parameters:\n",
+ "\n",
+ "- `max_size`: determines the maximum amount of memory (in MB) that the HT can use.\n",
+ "- `memory_estimate_period`: intervals after which the memory-management is triggered.\n",
+ "\n",
+ "We are going to limit our HTR to 5 MB and perform memory checks at intervals of 500 instances."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:25:24.678552Z",
+ "iopub.status.busy": "2022-10-26T11:25:24.677145Z",
+ "iopub.status.idle": "2022-10-26T11:26:03.562172Z",
+ "shell.execute_reply": "2022-10-26T11:26:03.562703Z"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
<Figure size 3000x1500 with 3 Axes>\n",
+ "
\n"
+ ],
+ "text/plain": [
+ "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 300\u001b[0m\u001b[1;36m0x1500\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m3\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plot_performance(\n",
+ " synth.Friedman(seed=42).take(10_000),\n",
+ " metrics.MAE(),\n",
+ " {\n",
+ " \"Restricted HTR\": (\n",
+ " preprocessing.StandardScaler()\n",
+ " | tree.HoeffdingTreeRegressor(\n",
+ " splitter=tree.splitter.EBSTSplitter(),\n",
+ " max_size=5,\n",
+ " memory_estimate_period=500\n",
+ " )\n",
+ " )\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Note that as soon the memory usage reaches the limit that we determined (at the memory check intervals), HTR starts managing its resource usage to reduce the size. As a consequence, the running time also decreases. For more accurate management, the intervals between memory checks should be decreased. This action, however, has costs since the tree stops the learning process to estimate its size and alter its own structure. Too frequent memory checks might end up result in a slow learning process. Besides, by using fewer resources, the predictive performance can be negatively impacted. So, use this tool with caution!\n",
+ "\n",
+ "**But how that works at all?**\n",
+ "\n",
+ "HTs monitor the incoming feature values to perform split attempts. To do so, they rely on a class of algorithms called *Attribute Observers* (AO) or *Splitters* (spoiler alert!). Each leaf node in an HT keeps one AO per incoming feature. After pre-determined intervals (`grace_period` parameter), leaves query their AOs for split candidates. Well, there are costs to monitor input features (mainly the numerical ones). In fact, AOs correspond to one of the most time and memory-consuming portions of the HTs. To manage memory usage, an HT firstly determines its least promising leaves, w.r.t. how likely they will be split. Then, these leaves' AOs are removed, and the tree nodes are said to be \"deactivated.\" That's it! The deactivated leaves do not perform split attempts anymore, but they continue to be updated to provide responses. They will be kept as leaves as long as there are not available resources to enable tree growth. These leaves can be activated again (meaning that new AOs will be created for them) if there is available memory, so don't worry!\n",
+ "\n",
+ "**Hint:** another indirect way to bound memory usage is to limit the tree depth. By default, the trees can grow indefinitely, but the `max_depth` parameter can control this behavior."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:26:03.569294Z",
+ "iopub.status.busy": "2022-10-26T11:26:03.568507Z",
+ "iopub.status.idle": "2022-10-26T11:26:25.165695Z",
+ "shell.execute_reply": "2022-10-26T11:26:25.166233Z"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
<Figure size 3000x1500 with 3 Axes>\n",
+ "
\n"
+ ],
+ "text/plain": [
+ "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 300\u001b[0m\u001b[1;36m0x1500\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m3\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plot_performance(\n",
+ " synth.Friedman(seed=42).take(10_000),\n",
+ " metrics.MAE(),\n",
+ " {\n",
+ " \"HTR with at most 5 levels\": (\n",
+ " preprocessing.StandardScaler()\n",
+ " | tree.HoeffdingTreeRegressor(\n",
+ " splitter=tree.splitter.EBSTSplitter(),\n",
+ " max_depth=5\n",
+ " )\n",
+ " )\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 4. Branching and growth: splitters, the heart of the trees\n",
+ "\n",
+ "As previously stated, one of the core operations of iDT is, well, to grow. Plants and gardening-related jokes apart, growth in HTs is guided by their AOs or splitters, as mentioned in the end of Section 3. \n",
+ "\n",
+ "Nominal features can be easily monitored, since the feature partitions are well-defined beforehand. Numerical features, on the other hand, do not have an explicit best cut point. Still, numerical features are typically split by using a binary test: $\\le$ or $>$. Therefore, numerical splitters must somehow summarize the incoming feature values and be able to evaluate the merit of split point candidates.\n",
+ "\n",
+ "There are diverse strategies to monitor numerical features and choices related to them, including which data structure will be used to keep a summary of the incoming feature and also how many split points are going to be evaluated during split attempts. Again, this guide does not intend to be an exhaustive delve into the iDT subject. In fact, each of the following aspects of the iDTs could be considered a separate research area: AOs, intervals between split attempts, split heuristics (e.g., info gain, variance reduction, and so on), tree depth and max size, and much more!\n",
+ "\n",
+ "Let's focus a bit into the AO matter. River provides a handful of splitters for classification and regression trees, which can be chosen using the parameter `splitter`. We will list the available tree splitters in the following sections and compare some of their chacteristics.\n",
+ "\n",
+ "Some notation:\n",
+ "\n",
+ "- $n$: Number of observations seen so far.\n",
+ "- $c$: the number of classes.\n",
+ "- $s$: the number of split points to evaluate (which means that this is a user-given parameter).\n",
+ "- $h$: the number of histogram bins or hash slots. Tipically, $h \\ll n$.\n",
+ "\n",
+ "### 4.1. Classification tree splitters\n",
+ "\n",
+ "The following table summarizes the available classification splitters. The user might refer to the documentation of each splitter for more details about their functioning.\n",
+ "\n",
+ "\n",
+ "| Splitter | Description | Insertion | Memory | Split candidate query | Works with Naive Bayes leaves?\n",
+ "| :- | :- | :- | :-: | :-: | :-: |\n",
+ "| Exhaustive | Keeps all the observed input values and class counts in a Binary Search Tree (BST) | $O(\\log n)$ (average) or $O(n)$ (worst case) | $O(n)$ | $O(n)$ | No |\n",
+ "| Histogram | Builds a histogram for each class in order to discretize the input feature | $O(\\log h)$ | $O(c h)$ | $O(c h)$ | Yes |\n",
+ "| Gaussian | Approximates the class distributions using Gaussian distributions | $O(1)$ | $O(c)$ | $O(cs)$ | Yes |\n",
+ "\n",
+ "Note that some of the splitters have configurable parameters that directly impact not only on their time and memory costs, but also on the final predictive performance. Examples:\n",
+ "\n",
+ "- The number of split points can be configured in the Gaussian splitter. Increasing this number makes this splitter slower, but it also potentially increases the quality of the obtained query points, implying enhanced tree accuracy. \n",
+ "- The number of stored bins can be selected in the Histogram splitter. Increasing this number increases the memory footprint and running time of this splitter, but it also potentially makes its split candidates more accurate and positively impacts on the tree's final predictive performance.\n",
+ "\n",
+ "Next, we provide a brief comparison of the classification splitters using 10K instances of the Random RBF synthetic dataset. Note that the tree equiped with the Exhaustive splitter does not use Naive Bayes leaves."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:26:25.174881Z",
+ "iopub.status.busy": "2022-10-26T11:26:25.173304Z",
+ "iopub.status.idle": "2022-10-26T11:27:28.373180Z",
+ "shell.execute_reply": "2022-10-26T11:27:28.373721Z"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
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+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plot_performance(\n",
+ " synth.RandomRBF(seed_model=7, seed_sample=42).take(10_000),\n",
+ " metrics.Accuracy(),\n",
+ " {\n",
+ " \"HTC + Exhaustive splitter\": tree.HoeffdingTreeClassifier(\n",
+ " splitter=tree.splitter.ExhaustiveSplitter(),\n",
+ " leaf_prediction=\"mc\"\n",
+ " ),\n",
+ " \"HTC + Histogram splitter\": tree.HoeffdingTreeClassifier(\n",
+ " splitter=tree.splitter.HistogramSplitter()\n",
+ " ),\n",
+ " \"HTC + Gaussian splitter\": tree.HoeffdingTreeClassifier(\n",
+ " splitter=tree.splitter.GaussianSplitter()\n",
+ " )\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 4.2 Regression tree splitters\n",
+ "\n",
+ "The available regression tree splitters are summarized in the next table. The TE-BST costs are expressed in terms of $n^*$ because the number of stored elements can be smaller than or equal to $n$.\n",
+ "\n",
+ "| Splitter | Description | Insertion | Memory | Split candidate query |\n",
+ "| :- | :- | :- | :-: | :-: |\n",
+ "| Extended Binary Search Tree (E-BST) | Stores all the observations and target statistics in a BST | $O(\\log n)$ (average) or $O(n)$ (worst case) | $O(n)$ | $O(n)$ | \n",
+ "| Truncated E-BST (TE-BST) | Rounds the incoming data before passing it to the BST | $O(\\log n^*)$ (average) or $O(n^*)$ (worst case) | $O(n^*)$ | $O(n^*)$ |\n",
+ "| Quantization Observer (QO) | Uses a hash-like structure to quantize the incoming data | $O(1)$ | $O(h)$ | $O(h \\log h)$ |\n",
+ "\n",
+ "\n",
+ "E-BST is an exhaustive algorithm, i.e., it works as batch solutions usually do, which might be prohibitive in real-world online scenarios. TE-BST and QO apply approximations to alleviate the costs involved in monitoring numerical data and performing split attempts. The number of desired decimal places to round the data (TE-BST) and the quantization radius (QO) are directly related to the running time, memory footprint, and error of the resulting tree model.\n",
+ "\n",
+ "We present a brief comparison of the available regression tree splitters using the 10K instances of the Friedman synthetic dataset."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:27:28.378822Z",
+ "iopub.status.busy": "2022-10-26T11:27:28.378261Z",
+ "iopub.status.idle": "2022-10-26T11:28:28.621256Z",
+ "shell.execute_reply": "2022-10-26T11:28:28.621813Z"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "Bike sharing station information from the city of Toulouse.\n",
+ "\n",
+ "The goal is to predict the number of bikes in 5 different bike stations from the city of\n",
+ "Toulouse.\n",
+ "\n",
+ " Name Bikes \n",
+ " Task Regression \n",
+ " Samples 182,470 \n",
+ " Features 8 \n",
+ " Sparse False \n",
+ " Path /Users/max.halford/river_data/Bikes/toulouse_bikes.csv \n",
+ " URL https://maxhalford.github.io/files/datasets/toulouse_bikes.zip\n",
+ " Size 12.52 MB \n",
+ "Downloaded True \n",
+ "
\n"
+ ],
"text/plain": [
+ "\n",
"Bike sharing station information from the city of Toulouse.\n",
"\n",
- "The goal is to predict the number of bikes in 5 different bike stations from the city of\n",
+ "The goal is to predict the number of bikes in \u001b[1;36m5\u001b[0m different bike stations from the city of\n",
"Toulouse.\n",
"\n",
" Name Bikes \n",
" Task Regression \n",
- " Samples 182,470 \n",
- " Features 8 \n",
- " Sparse False \n",
- " Path /Users/max.halford/river_data/Bikes/toulouse_bikes.csv \n",
- " URL https://maxhalford.github.io/files/datasets/toulouse_bikes.zip\n",
- " Size 12.52 MB \n",
- "Downloaded True "
+ " Samples \u001b[1;36m182\u001b[0m,\u001b[1;36m470\u001b[0m \n",
+ " Features \u001b[1;36m8\u001b[0m \n",
+ " Sparse \u001b[3;91mFalse\u001b[0m \n",
+ " Path \u001b[35m/Users/max.halford/river_data/Bikes/\u001b[0m\u001b[95mtoulouse_bikes.csv\u001b[0m \n",
+ " URL \u001b[4;94mhttps://maxhalford.github.io/files/datasets/toulouse_bikes.zip\u001b[0m\n",
+ " Size \u001b[1;36m12.52\u001b[0m MB \n",
+ "Downloaded \u001b[3;92mTrue\u001b[0m \n"
]
},
- "execution_count": 1,
"metadata": {},
- "output_type": "execute_result"
+ "output_type": "display_data"
}
],
"source": [
@@ -76,25 +100,47 @@
"cell_type": "code",
"execution_count": 2,
"metadata": {
+ "execution": {
+ "iopub.execute_input": "2022-10-26T11:28:36.711683Z",
+ "iopub.status.busy": "2022-10-26T11:28:36.710959Z",
+ "iopub.status.idle": "2022-10-26T11:28:36.745781Z",
+ "shell.execute_reply": "2022-10-26T11:28:36.745114Z"
+ },
"tags": []
},
"outputs": [
{
"data": {
+ "text/html": [
+ "