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# ---------------------------------------------------------------------------
# extract_basin_DEM_statistics.py
# Created on: 2014-07-22 18:31:56.00000
# (generated by ArcGIS/ModelBuilder)
# Usage: extract_basin_DEM_statistics <Basin>
# Description: extract elevation and slope characteristics for a basin shapefile
# using the user define DEM raster
# Created and Modified by Ryan Spies
# ---------------------------------------------------------------------------
print 'Importing modules...'
# Import arcpy module
import arcpy
import os
import csv
arcpy.env.overwriteOutput = True
os.chdir("../..")
maindir = os.getcwd()
################### User Input #####################
RFC = 'MBRFC_FY2015'
basins_folder = maindir + '\\' + RFC[:5] + os.sep + RFC + '\\Shapefiles\\calb_basins\\'
dem_file = maindir + '\\GTOPO_1K_Hydro\\na_dem_null' # 1km resolution
#dem_file = r'Q:\GISLibrary\NHDPlus\v1\WG\NHDPlus12\Elev_Unit_d\elev_cm'
#dem_file = r'P:\NWS\GIS\APRFC\Processing\ASTER\kusk_mosiac.tif'
output_dir = maindir + '\\'+ RFC[:5] + os.sep + RFC + '\\Elevation_Slope\\Stats_Out\\'
sr = arcpy.SpatialReference(4269) # define projection of basin shp -> 4269 = GCS_North_American_1983
# manually enter basins to analyze (example: basins = ['MFDN3'])
# otherwise leave blank and script will
# analyze all basins in the basins_folder specified above
basins_overwrite = []
################# End User Input ######################
if not os.path.exists('C:\\NWS\\python\\temp_output\\'):
print "Missing directory: 'C:\\NWS\\python\\temp_output\\' -> please create"
raw_input("Press enter to continue processing...")
if not os.path.exists(output_dir):
print "Missing directory: " + output_dir + " -> please create"
raw_input("Press enter to continue processing...")
# Check out any necessary licenses
arcpy.CheckOutExtension("spatial")
# Local variables (temporary files):
Basin_DEM = 'C:\\NWS\\python\\temp_output\\basin_DEM'
Slope_Raster = 'C:\\NWS\\python\\temp_output\\basin_slope'
Slope_Points = 'C:\\NWS\\python\\temp_output\\slope_points'
Slope_Stats__dbf = 'C:\\NWS\\python\\temp_output\\slope_stats.dbf'
Elevation_Points = 'C:\\NWS\\python\\temp_output\\elevation_pts'
Elevation_Stats__dbf = 'C:\\NWS\\python\\temp_output\\elevation_stats'
# Set Geoprocessing environments
arcpy.env.scratchWorkspace = "C:\\NWS\\python\\Model_Output.gdb" # temporary file storage directory
#arcpy.env.parallelProcessingFactor = "50"
print 'ok so far...'
# find all basins in RFC task or only run the specified basin overwrite list
basin_files = os.listdir(basins_folder) # list all basin shapefiles in the above specified directory
if len(basins_overwrite) != 0:
basin_files = basins_overwrite # use the basins_overright variable to run only specified basins instead of all RFC basins
basins = []
check_dir = os.listdir(output_dir) # list all folders in output_dir
for each in basin_files:
if each.split('.')[0] not in basins:
basins.append(each.split('.')[0])
for basin in basins:
print basin
Basin_Boundary = basins_folder + '\\' + basin + '.shp'
check_project = basins_folder + '\\' + basin + '.prj'
# Process: Define Projection
print 'Define Projection...'
if not os.path.exists(check_project):
arcpy.DefineProjection_management(Basin_Boundary, sr)
# Process: Extract by Mask
print 'Extract by mask...'
arcpy.gp.ExtractByMask_sa(dem_file, Basin_Boundary, Basin_DEM)
# Process: Slope
print 'Calculating basin slope raster...'
arcpy.gp.Slope_sa(Basin_DEM, Slope_Raster, "PERCENT_RISE", "0.01")
# Process: Raster to Point (2)
print 'Coverting raster to point...'
arcpy.RasterToPoint_conversion(Slope_Raster, Slope_Points, "Value")
# Process: Summary Statistics (2)
print 'Calculating mean slope...'
arcpy.Statistics_analysis(Slope_Points + '.shp', Slope_Stats__dbf, "grid_code MEAN", "")
# Process: output csv file
print 'Creating '+ basin + '_mean_slope_percent.csv file...'
rows = arcpy.SearchCursor(Slope_Stats__dbf)
slope_csv = open(output_dir + basin + '_mean_slope_percent.csv', 'wb')
csvFile = csv.writer(slope_csv) #output csv
fieldnames = [f.name for f in arcpy.ListFields(Slope_Stats__dbf)]
allRows = []
for row in rows:
rowlist = []
for field in fieldnames:
rowlist.append(row.getValue(field))
allRows.append(rowlist)
csvFile.writerow(fieldnames)
for row in allRows:
csvFile.writerow(row)
row = None
rows = None
slope_csv.close()
# Process: Raster to Point
print 'Converting elevation raster to point...'
arcpy.RasterToPoint_conversion(Basin_DEM, Elevation_Points, "VALUE")
# Process: Summary Statistics
print 'Calculating elevation statistics...'
arcpy.Statistics_analysis(Elevation_Points + '.shp', Elevation_Stats__dbf, "grid_code MIN;grid_code MEAN;grid_code MAX", "")
# Process: output csv file
print 'Creating '+ basin + '_elevation_stats_cm.csv file...'
rows = arcpy.SearchCursor(Elevation_Stats__dbf)
elevation_csv = open(output_dir + basin + '_elevation_stats_cm.csv', 'wb')
csvFile = csv.writer(elevation_csv) #output csv
fieldnames = [f.name for f in arcpy.ListFields(Elevation_Stats__dbf)]
allRows = []
for row in rows:
rowlist = []
for field in fieldnames:
rowlist.append(row.getValue(field))
allRows.append(rowlist)
csvFile.writerow(fieldnames)
for row in allRows:
csvFile.writerow(row)
row = None
rows = None
elevation_csv.close()
print 'Completed!!'
|
import tensorflow as tf
from tensorflow.contrib.keras import layers
from tensorflow.contrib.keras import initializers
from app.layer.util import sparse_dropout, get_dotproduct_op
from app.utils.constant import KERNEL, BIAS
# Code borrowed from
# * https://keras.io/layers/writing-your-own-keras-layers/
# * https://github.com/fchollet/keras/blob/master/keras/layers/core.py
class SparseFC(layers.Layer):
def __init__(self,
input_dim,
output_dim,
dropout_rate=0.0,
activation=tf.nn.relu,
sparse_features=True,
num_elements=-1,
**kwargs):
self.input_dim = input_dim
self.output_dim = output_dim
self.dropout_rate = dropout_rate
self.activation = activation
self.sparse_features = sparse_features
self.num_elements = num_elements
super(SparseFC, self).__init__(**kwargs)
def build(self, input_shape):
self.kernel = self.add_weight(name=KERNEL,
shape=(self.input_dim, self.output_dim),
initializer=initializers.glorot_uniform(),
trainable=True)
self.bias = self.add_weight(name=BIAS,
shape=(self.output_dim,),
initializer=initializers.Zeros,
trainable=True)
super(SparseFC, self).build(input_shape) # Be sure to call this somewhere!
def call(self, inputs, mask=None):
'''Logic borrowed from: https://github.com/fchollet/keras/blob/master/keras/layers/core.py
'''
dotproduct_op = get_dotproduct_op(sparse_features=self.sparse_features)
if (self.sparse_features):
inputs = sparse_dropout(inputs, keep_prob=1 - self.dropout_rate, noise_shape=(self.num_elements,))
else:
inputs = tf.nn.dropout(inputs, keep_prob=1 - self.dropout_rate)
output = dotproduct_op(inputs, self.kernel)
output = tf.add(output, self.bias)
if self.activation is not None:
output = self.activation(output)
return output
def compute_output_shape(self, input_shape):
return (input_shape[0], self.output_dim)
|
from django.shortcuts import render,redirect,HttpResponse
from django.contrib.auth.hashers import make_password,check_password
from account import models
import json
# Create your views here.
def index(request):
return redirect("/login/")
def login(request):
ret = {'status': False, 'error': "用户名或密码错误！！！", 'data': None}
if request.session.get('is_login',None):
return redirect("/home/")
else:
if request.method == "GET":
return render(request,"login.html")
elif request.method == "POST":
username = request.POST.get("username")
password = request.POST.get("password")
if username and password:
user = models.User.objects.filter(user=username)
if user:
if check_password(password,user[0].password):
ret['status'] = True
request.session['user'] = user[0].user
request.session['name'] = user[0].name
request.session['is_login'] = True
request.session.set_expiry(5)
else:
ret['error'] = "用户名不存在。"
else:
ret['error'] = "用户名或密码不能为空。"
return HttpResponse(json.dumps(ret))
def home(request):
if request.session.get('is_login', None):
print(request.method)
return HttpResponse('Welcome Home!')
else:
return redirect("/login/")
def register(request):
print(request.method)
return render(request, "register.html")
def forgetpwd(request):
print(request.method)
return HttpResponse('Welcome forgetpwd!')
|
import json
from pathlib import Path
from typing import Any, Callable, Optional, Tuple
import PIL.Image
from .utils import download_and_extract_archive, verify_str_arg
from .vision import VisionDataset
class Food101(VisionDataset):
"""`The Food-101 Data Set <https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/>`_.
The Food-101 is a challenging data set of 101 food categories with 101,000 images.
For each class, 250 manually reviewed test images are provided as well as 750 training images.
On purpose, the training images were not cleaned, and thus still contain some amount of noise.
This comes mostly in the form of intense colors and sometimes wrong labels. All images were
rescaled to have a maximum side length of 512 pixels.
Args:
root (string): Root directory of the dataset.
split (string, optional): The dataset split, supports ``"train"`` (default) and ``"test"``.
transform (callable, optional): A function/transform that takes in an PIL image and returns a transformed
version. E.g, ``transforms.RandomCrop``.
target_transform (callable, optional): A function/transform that takes in the target and transforms it.
download (bool, optional): If True, downloads the dataset from the internet and
puts it in root directory. If dataset is already downloaded, it is not
downloaded again. Default is False.
"""
_URL = "http://data.vision.ee.ethz.ch/cvl/food-101.tar.gz"
_MD5 = "85eeb15f3717b99a5da872d97d918f87"
def __init__(
self,
root: str,
split: str = "train",
transform: Optional[Callable] = None,
target_transform: Optional[Callable] = None,
download: bool = False,
) -> None:
super().__init__(root, transform=transform, target_transform=target_transform)
self._split = verify_str_arg(split, "split", ("train", "test"))
self._base_folder = Path(self.root) / "food-101"
self._meta_folder = self._base_folder / "meta"
self._images_folder = self._base_folder / "images"
if download:
self._download()
if not self._check_exists():
raise RuntimeError("Dataset not found. You can use download=True to download it")
self._labels = []
self._image_files = []
with open(self._meta_folder / f"{split}.json") as f:
metadata = json.loads(f.read())
self.classes = sorted(metadata.keys())
self.class_to_idx = dict(zip(self.classes, range(len(self.classes))))
for class_label, im_rel_paths in metadata.items():
self._labels += [self.class_to_idx[class_label]] * len(im_rel_paths)
self._image_files += [
self._images_folder.joinpath(*f"{im_rel_path}.jpg".split("/")) for im_rel_path in im_rel_paths
]
def __len__(self) -> int:
return len(self._image_files)
def __getitem__(self, idx: int) -> Tuple[Any, Any]:
image_file, label = self._image_files[idx], self._labels[idx]
image = PIL.Image.open(image_file).convert("RGB")
if self.transform:
image = self.transform(image)
if self.target_transform:
label = self.target_transform(label)
return image, label
def extra_repr(self) -> str:
return f"split={self._split}"
def _check_exists(self) -> bool:
return all(folder.exists() and folder.is_dir() for folder in (self._meta_folder, self._images_folder))
def _download(self) -> None:
if self._check_exists():
return
download_and_extract_archive(self._URL, download_root=self.root, md5=self._MD5)
|
import argparse
import torch
import numpy as np
from models.networks.efficient_det_5 import get_net
from models.fitter import Fitter
from scripts.dataloder import get_dataloader
from scripts.load_config import load_config
def run_inference():
results = []
for images, image_ids in data_loader:
predictions = make_predictions(images)
for i, image in enumerate(images):
boxes, scores, labels = run_wbf(predictions, image_index=i)
boxes = (boxes * 2).astype(np.int32).clip(min=0, max=1023)
image_id = image_ids[i]
boxes[:, 2] = boxes[:, 2] - boxes[:, 0]
boxes[:, 3] = boxes[:, 3] - boxes[:, 1]
result = {
'image_id': image_id,
'PredictionString': format_prediction_string(boxes, scores)
}
results.append(result)
class DatasetRetriever(Dataset):
def __init__(self, image_ids, transforms=None):
super().__init__()
self.image_ids = image_ids
self.transforms = transforms
def __getitem__(self, index: int):
image_id = self.image_ids[index]
image = cv2.imread(f'{DATA_ROOT_PATH}/{image_id}.jpg', cv2.IMREAD_COLOR)
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB).astype(np.float32)
image /= 255.0
if self.transforms:
sample = {'image': image}
sample = self.transforms(**sample)
image = sample['image']
return image, image_id
def __len__(self) -> int:
return self.image_ids.shape[0]
def load_net(checkpoint_path):
config = get_efficientdet_config('tf_efficientdet_d5')
net = EfficientDet(config, pretrained_backbone=False)
config.num_classes = 1
config.image_size = 512
net.class_net = HeadNet(config, num_outputs=config.num_classes, norm_kwargs=dict(eps=.001, momentum=.01))
checkpoint = torch.load(checkpoint_path)
net.load_state_dict(checkpoint["model_state_dict"])
del checkpoint
gc.collect()
net = DetBenchPredict(net, config)
net.ecal()
return net.cuda()
def format_prediction_string(boxes, scores):
pred_strings = []
for j in zip(scores, boxes):
pred_strings.append("{0:.4f} {1} {2} {3} {4}".format(j[0], j[1][0], j[1][1], j[1][2], j[1][3]))
return " ".join(pred_strings)
def make_predictions(images, score_threshold=0.22):
images = torch.stack(images).cuda().float()
predictions = []
with torch.no_grad():
det = net(images, torch.tensor([1]*images.shape[0]).float().cuda())
for i in range(images.shape[0]):
boxes = det[i].detach().cpu().numpy()[:,:4]
scores = det[i].detach().cpu().numpy()[:,4]
indexes = np.where(scores > score_threshold)[0]
boxes = boxes[indexes]
boxes[:, 2] = boxes[:, 2] + boxes[:, 0]
boxes[:, 3] = boxes[:, 3] + boxes[:, 1]
predictions.append({
'boxes': boxes[indexes],
'scores': scores[indexes],
})
return [predictions]
def run_wbf(predictions, image_index, image_size=512, iou_thr=0.44, skip_box_thr=0.43, weights=None):
boxes = [(prediction[image_index]['boxes']/(image_size-1)).tolist() for prediction in predictions]
scores = [prediction[image_index]['scores'].tolist() for prediction in predictions]
labels = [np.ones(prediction[image_index]['scores'].shape[0]).tolist() for prediction in predictions]
boxes, scores, labels = weighted_boxes_fusion(boxes, scores, labels, weights=None, iou_thr=iou_thr, skip_box_thr=skip_box_thr)
boxes = boxes*(image_size-1)
return boxes, scores, labels
def main(args):
config = load_config(args.config)
run_inference(args.data, config)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--config", default="configs/default.yaml", type=str)
parser.add_argument("--data", default="data/input/global-wheat-detection", type=str)
args = parser.parse_args()
main(args)
|
from django.contrib import admin
from Professor.models import Professor
class ProfessorAdmin(admin.ModelAdmin):
fieldsets = [
('Professor', {'fields': ['usuario']}),
]
list_display = ('usuario',)
admin.site.register(Professor, ProfessorAdmin)
|
import math
import matplotlib.pyplot as plt
from Tkinter import *
import Tkinter, Tkconstants, tkFileDialog
fig, ax = plt.subplots()
ax1 = fig.add_subplot()
class Periodic(object):
def __init__(self,endTime):
""" Intializing the constructor
@param endTime: Total time for plotting
"""
self.endTime = endTime
self.h = []
self.x,self.y = [],[]
def formula(self):
"""
Periodic function values are calculated here
"""
self.h = [3*math.pi*math.exp(-(5*math.sin(2*math.pi*x))) for x in range(self.endTime)]
def plot(self):
"""
Live Plotting using matplotlib.
"""
time = self.endTime
for t,h in zip(range(time),self.h):
if t == 0:
points, = ax.plot(self.x, self.y, marker='o', linestyle='--')
ax.set_xlim(left=0.0,right=time)
ax.set_ylim(9.42477796074,9.4247779608)
else:
x_coord,y_coord = t,h
print(x_coord,y_coord)
self.x.append(x_coord)
self.y.append(y_coord)
points.set_data(self.x, self.y)
plt.pause(0.00001)
def saveFile(self,val):
""" Storing the data into a file
@param val: Boolean Value
"""
if val == True:
f = tkFileDialog.asksaveasfile(mode='w', defaultextension=".csv")
h = str(self.h)
f.write(h)
print('Data saved')
f.close()
else:
print('Data not saved')
if __name__ == "__main__":
time = input("Enter the time for plotting")
run = Periodic(int(time))
run.formula()
run.plot()
store = bool(input("Do you want to save the data? 1/0 ?"))
run.saveFile(store)
|
__author__ = 'aoboturov'
from load_data import target, users, items, log
import pandas
# How many unique users are in the target set?
assert target.ix[:, 'user_id'].nunique() == 601
# How many unique items are in the target set?
assert target.ix[:, 'item_id'].nunique() == 1161
# Are there any out of sample users in target dataset? No
assert pandas.merge(target, users, on='user_id').ix[:, 'user_id'].nunique() == 601
# Are there any out of sample items in target dataset? => there are 310 out of sample items
assert pandas.merge(target, items, on='item_id').ix[:, 'item_id'].nunique() == 851
# How many users were there during train period?
assert log.ix[:, 'user_id'].nunique() == 5674
# Are there any out of sample users in train period? No
assert pandas.merge(log, users, on='user_id').ix[:, 'user_id'].nunique() == 5674
# Are there any users who are not both in test and train set? Yes => User user-user similarity
assert pandas.merge(log, target, on='user_id').ix[:, 'user_id'].nunique() == 521
# How many non-NaN item ids are there in the log?
assert log.ix[:, 'item_id'].nunique() == 8419
# How many non-empty orders are there in the log?
assert log.ix[:, 'order_item_ids'].dropna().count() == 508
def select_order_items(column):
items = set()
def select_separate_order_items(l):
split = l.split('/')
for elt in split:
if elt != '':
items.add(elt)
return split
log.ix[:, column].dropna().apply(select_separate_order_items)
return pandas.DataFrame({'item_id': list(items)})
ordered_items = select_order_items('order_item_ids')
assert ordered_items.ix[:, 'item_id'].nunique() == 1432
# Are there any out of sample ordered items in dataset? Yes
assert pandas.merge(ordered_items, items, on='item_id').ix[:, 'item_id'].nunique() == 636
# Are there any out of sample ordered items in train period? Yes
assert pandas.merge(ordered_items, target, on='item_id').ix[:, 'item_id'].nunique() == 655
cart_items = select_order_items('cart_item_ids')
assert cart_items.ix[:, 'item_id'].nunique() == 3008
# Are there any out of sample cart items in dataset? Yes
assert pandas.merge(cart_items, items, on='item_id').ix[:, 'item_id'].nunique() == 1255
# Are there any out of sample cart items in train period? Yes
assert pandas.merge(cart_items, target, on='item_id').ix[:, 'item_id'].nunique() == 754
|
from epqcrypto.symmetric.hashing import hash_function
from epqcrypto.persistence import save_data, load_data
def hash_public_key(hash_function, public_key):
""" usage: hash_public_key(hash_function, public_key) => public_key_fingerprint
Returns a hash of public key, suitable for use as an identifier. """
return hash_function(serialize_public_key(public_key))
def serialize_public_key(public_key):
""" usage: serialize_public_key(public_key) => serialized_public_key
Returns a saved public key, in the form of bytes. """
return save_data(public_key)
def deserialize_public_key(serialized_public_key):
""" usage: deserialize_public_key(serialized_public_key) => public_key
Loads a saved public key, as produced by serialize_public_key. """
return load_data(serialized_public_key)
def test_serialized_public_key_deserialize_public_key():
from epqcrypto.asymmetric.kem import generate_keypair
public_key, _ = generate_keypair()
serialized = serialize_public_key(public_key)
_public_key = deserialize_public_key(serialized)
assert _public_key == public_key, (_public_key, public_key)
print("epqcrypto.asymmetric.serialization unit test passed")
if __name__ == "__main__":
test_serialized_public_key_deserialize_public_key()
|
from flask import Flask
import logging
from logging.handlers import RotatingFileHandler
from flask.logging import default_handler
app = Flask(__name__)
app.config.from_object('config.Config')
logfile = app.config['ACCESS_LOGFILE_NAME']
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
logHandler = RotatingFileHandler(logfile,maxBytes =1000000, backupCount=5)
logger.addHandler(logHandler)
logger.removeHandler(default_handler)
import views
|
import numpy as np
from keras.layers import Dense
from keras.models import Sequential
def build_model():
model = Sequential()
model.add(Dense(16, input_dim=16, activation='relu'))
model.add(Dense(64, activation='relu'))
model.add(Dense(4, activation='linear'))
model.compile(loss='mse', optimizer="sgd")
return model
def train_model(training_data):
X = np.array([i[0] for i in training_data]).reshape(-1, 16)
y = np.array([i[1] for i in training_data])
model = build_model()
model.fit(X, y, epochs=500)
return model
|
import sys
input_1 = ''
input_2 = ''
ds = None
# Example: AL[G][O]R[ ]I[ ]T[H][M] ==> 6
# AL T R U I S T I C
#
# Recursive algorithm
#
# Running time is roughly between O(2^n) and O(3^n)
#
# Calculate all the possibilities and get the minimum
# 1. Basecase is when either i or j is 0, then we just return as much as we have left
# with the other word
# 2. Otherwise compare...:
# a) When we add input_1[i] character to input_2 (insertion)
# b) When we delete input_2[j] from input_2 (deletion)
# c) When we count 'i'th and 'j'th, both, characters (substitution)
# - If input_1[i] == input_2[j] >>> No change so don't count
# - Else if input_1[i] != input_2[j] >>> Substitution so add 1
def edit_distance_recursive(i, j):
if i == 0:
return j
elif j == 0:
return i
a = edit_distance_recursive(i - 1, j) + 1 # +1 for insertion
b = edit_distance_recursive(i, j - 1) + 1 # +1 for deletion
c = edit_distance_recursive(i - 1, j - 1) \
+ (input_1[i-1] != input_2[j-1]) # possible +1 for substitution
return min(a,b,c)
# DP algorithm
#
# Running time is O(nm)
#
# Decrease running time y memoization over dependencies ([i-1,j], [i,j-1], [i-1,j-1])
#
def edit_distance_dp(i, j):
ds = [range(len(input_2)+1)]
for i in range(1, len(input_1)+1):
temp = [i] + [0]*(len(input_2))
ds.append(temp)
for i in range(1, len(input_1)+1):
#ds[i][0] = i
for j in range(1, len(input_2)+1):
if input_1[i-1] == input_2[j-1]:
ds[i][j] = min(ds[i-1][j]+1,ds[i][j-1]+1,ds[i-1][j-1])
else:
ds[i][j] = min(ds[i-1][j],ds[i][j-1],ds[i-1][j-1]) + 1
print('i: ' + str(i-1) + ',j: ' + str(j-1))
for k in ds:
print(k)
print('')
a = raw_input('')
return ds[len(input_1)][len(input_2)]
if len(sys.argv) != 3:
print("usage: python edit_distance.py <input_string_1> <iput_string_2>")
else:
input_1 = sys.argv[1]
input_2 = sys.argv[2]
#print(edit_distance_recursive(len(input_1), len(input_2)))
print(edit_distance_dp(input_1, input_2))
|
# should_continue = True
# if should_continue:
# print("Hello")
# known_people = ["Jhon", "Anna", "Mary"]
# person = input("Enter the person you know: ")
# if person in known_people:
# print("You know {}!".format(person))
# else:
# print("You don't know {}!".format(person))
# numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9]
# def even_numbers():
# evens = []
# for number in numbers:
# if number%2 == 0:
# evens.append(number)
# return evens
# teste = even_numbers()
# for a in teste:
# print(a)
def who_do_you_know():
persons = input("Enter the names of people you know, separated by commas: ")
known_people = [person.strip().lower() for person in persons.split(",")]
return known_people
def ask_user():
person = input("Enter the person name: ")
if person.lower() in who_do_you_know():
print("You know {}!".format(person))
else:
print("You don't know {}!".format(person))
ask_user()
|
import numpy as np
import pandas as pd
from funcfile import *
from sklearn import linear_model
from sklearn.svm import LinearSVC
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import PolynomialFeatures
#read data
df = pd.read_csv("week2.csv",comment="#")
print(df.head())
x = np.array(df.iloc[:, 0:2])#read the first two colunms as array
y = np.array(df.iloc[:, 4])#read the y value
#train the logistic regression classifier on the data
mul_lr = linear_model.LogisticRegression()
mul_lr.fit(x,y)
y_pre = mul_lr.predict(x)
print("linear_model.LogisticRegression :intercept {0}, slope {1} , score {2}".format(mul_lr.intercept_, mul_lr.coef_,mul_lr.score(x,y)))
x1 = x[:, 0]
x2 = x[:, 1]
plt.subplot(331)
scattersth(x1, x2, y, "original data")
plotsth(x1, mul_lr.intercept_, mul_lr.coef_)
plt.subplot(332)
plt.plot()
scattersthothercolor(x1, x2, y,y_pre, "logistic_regression prediction data")
plt.show()
#pick 6 numbers of C to train the model , and print the parameters,
#after that predict the data then plot it , using the “add_subplot” function
fig2 = plt.figure()
svc_c = [0.001,1,10,100,500,1000]
for i in range(6):
linear_svc_model = LinearSVC(C=svc_c[i]).fit(x, y)
print("linear_svc_model{0} :when C={1},intercept {2}, slope {3} ,score {4}".format(i+1,svc_c[i], linear_svc_model.intercept_,
linear_svc_model.coef_, linear_svc_model.score(x,y)))
y_svc_pre = linear_svc_model.predict(x)
linear_svc_model_subplot = fig2.add_subplot(2, 3, i+1)
scattersth(x1, x2, y_svc_pre, "predictiondata when c is {0}".format(svc_c[i]))
plotsth(x1, linear_svc_model.intercept_, linear_svc_model.coef_)
plt.show()
# (c)
x_new = np.array(df.iloc[:, 0:4])
mul_lr1 = linear_model.LogisticRegression()
mul_lr1.fit(x_new, y)
print("new linear_model.LogisticRegression :intercept {0}, slope {1} ".format(mul_lr1.intercept_, mul_lr1.coef_))
y_pre1 = mul_lr1.predict(x_new)
plt.subplot(121)
scattersth(x1, x2, y_pre1, "new linear_model.LogisticRegression")
plt.axhline(y=0, color='yellow', linestyle='-' , label = 'baseline')
plt.legend()
plt.subplot(122)
scattersth(x1, x2, y, "original data")
plt.axhline(y=0, color='yellow', linestyle='-' , label = 'baseline')
plt.legend()
"""define each of the coefficient as a,b,c,d , and e is the intercept , then I apply the mathematic quadratic formula """
x1_new = np.linspace(-1, 1, 9999)#to get the axis of x
a = mul_lr1.coef_[0][0]
b = mul_lr1.coef_[0][1]
c = mul_lr1.coef_[0][2]
d = mul_lr1.coef_[0][3]
e = mul_lr1.intercept_
m = e + a*x1_new + c*x1_new*x1_new
x2_new = (-b+(b*b-4*d*m)**0.5)/(2*d)
plt.plot(x1_new, x2_new, label=' decision boundary', color='pink')
scattersth(x1, x2, y, "original data")
plt.legend()
plt.show()
|
from channels.routing import include
import scoring.routing
routes = [
include(scoring.routing.routes, path='^/websocket/'),
]
|
class Solution:
def lemonadeChange(self, bills):
my_bill_5 = 0
my_bill_10 = 0
my_bill_20 = 0
success = True
for bill in bills:
if bill == 5:
my_bill_5 += 1
elif bill == 10:
if my_bill_5 > 0:
my_bill_10 += 1
my_bill_5 -= 1
else:
success = False
break
elif bill == 20:
if my_bill_10 >= 1 and my_bill_5 >= 1:
my_bill_5 -= 1
my_bill_10 -= 1
my_bill_20 += 1
elif my_bill_5 >= 3:
my_bill_5 -= 3
my_bill_20 += 1
else:
success = False
break
return success
if __name__ == '__main__':
my_solution = Solution()
bills = [5,5,5,10,20]
bills2 = [5,5,10]
bills3 = [10,10]
bills4 = [5,5,10,10,20]
print(my_solution.lemonadeChange(bills4))
|
lower=int(input('lower:'))
upper=int(input('upper:'))
for num in range(lower,upper+1):
if num>0:
temp=num
s=0
while temp>0:
fact=1
dig=temp%10
for i in range(1,dig+1):
fact=fact*i
s+=fact
temp//=10
if s==num:
print(s,end=' ')
|
import nltk
from glob import glob
from sklearn.model_selection import KFold
from sklearn.metrics import accuracy_score
from nltk.stem import WordNetLemmatizer
from nltk import word_tokenize
import pickle
matrix = []
lemmatizer = WordNetLemmatizer()
#processa o vocabulário, gera os tokens, lemas e filtra o texto, retirando as stopwords
def toProcess(vocabulary,n):
print('processing vocabulary')
arq = open('stopwords.txt', 'r')
stopWords = arq.read()
stopWords = word_tokenize(stopWords)
filteredVocabylary = []
for w in vocabulary:
if w not in stopWords:
filteredVocabylary.append([w,vocabulary[w]])
filteredVocabylary.sort(key=lambda x: x[1], reverse=True)
while filteredVocabylary.__len__() > n:
filteredVocabylary.pop()
return filteredVocabylary
#gera a matriz de classificação, onde cada texto vira um array do tipo
#texto1 = [0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1]
#onde cada indice 'i' do array texto1 indica se o text possui a palavra 'i' do vocabulário
#e o ultimo índice indica se o texto é positivo (1) ou negativo (0)
#a matriz gerada não é nada mais que uma lista de listas com todos os arrays
#matriz = [texto1, texto2, texto3, ...]
def generateMatrix(vocabulary):
i = 1
for filepath in glob('pos\\**'):
arq = open(filepath,'r')
text = arq.read()
text = nltk.word_tokenize(text)
text = [lemmatizer.lemmatize(word) for word in text]
text = [word.lower() for word in text if word.isalpha()]
textLine = []
for word in vocabulary:
if word[0] in text:
textLine.append(1)
else:
textLine.append(0)
textLine.append(1)
matrix.append(textLine)
if i%200 == 0:
print('loading matrix... %f%%' % (i * 100 / 1000))
i += 1
for filepath in glob('neg\\**'):
arq = open(filepath,'r')
text = arq.read()
text = nltk.word_tokenize(text)
text = [lemmatizer.lemmatize(word) for word in text]
text = [word.lower() for word in text if word.isalpha()]
textLine = []
for word in vocabulary:
if word[0] in text:
textLine.append(1)
else:
textLine.append(0)
textLine.append(0)
matrix.append(textLine)
if i%200 == 0:
print('loading matrix... %f%%' % (i * 100 / 1000))
i += 1
def printMatrix(matrix):
for i in matrix:
for j in i:
print(j, end='')
print()
#calcula a similaridade baseada na quantidade de palavras que as duas linhas (textos) tem em comum
def getSimilarity(lineA, lineB):
n = lineA.__len__()
similarity = 0
for i in range (0,n-1):
if lineA[i] == 1 and lineB[i] == 1:
similarity += 1
return similarity
def defineSentiment(matrix,distanceVector):
positive = 0
negative = 0
while positive == negative:
for i in range(0, distanceVector.__len__()):
j = distanceVector[i][0]
n = matrix[0].__len__()
m = matrix.__len__()
if matrix[j][n - 1] == 1:
positive += 1
else:
negative += 1
distanceVector.pop()
if positive > negative:
return 1
else:
return 0
def knn(vocabulary, k):
generateMatrix(vocabulary)
# K-folder:
kf = KFold(n_splits=10)
for train, test in kf.split(matrix):
# gera dois vetores que armazenam as posições do vetor MATRIX que serão utilizadas
# para teste e treinamento
# Primeiro realizar o treinamento e depois o teste
# Calcular Métricas: Precision, Recall, F-measure e Accuracy
# http://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics (tem na biblioteca do sklearn)
test = [1,80,120,340,525,534,680,715,750,777,830,915,999]
result = []
print('defining sentiment...')
for i in test:
distanceVector = []
for j in range (0, matrix.__len__()-1):
if j not in test:
distanceVector.append([j,getSimilarity(matrix[i],matrix[j])])
distanceVector.sort(key=lambda x: x[1], reverse = True)
while distanceVector.__len__() > k:
distanceVector.pop()
result.append([matrix[i][vocabulary.__len__()], defineSentiment(matrix,distanceVector)])
return result
def main():
print('loading vocabulary...')
with open('vocabulary', 'rb') as fp:
vocabulary = pickle.load(fp)
print('vocabulary has been loaded.')
k = input('digite o k a ser utilizado: ')
n = input('digite o tamanho do vocabulario: ')
vocabulary = toProcess(vocabulary,int(n))
result = knn(vocabulary,int(k))
print(result)
acc = 0
for i in result:
if i[0] == i[1]:
acc += 1
print('accuracy: %f%%' % (acc/result.__len__()*100))
if __name__ == "__main__":
main()
|
from __future__ import print_function, absolute_import
import logging
import re
import json
import requests
import uuid
import time
import os
import socket
import argparse
import uuid
import datetime
import apache_beam as beam
from apache_beam.io import ReadFromText
from apache_beam.io import WriteToText
from apache_beam.io.filesystems import FileSystems
from apache_beam.metrics import Metrics
from apache_beam.metrics.metric import MetricsFilter
from apache_beam import pvalue
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions
TABLE_SCHEMA = ('FECHA:STRING,'
'OPERACION:STRING,'
'NIT_CLIENTE:STRING, '
'NOMBRE_CLIENTE:STRING, '
'RAZON_SOCIAL:STRING, '
'GENERO:STRING, '
'TELEFONO:STRING, '
'CELULAR:STRING, '
'DIRECCION:STRING, '
'FECHA_GRABACION_CONVENIO:STRING, '
'FECHA_CONVENIO:STRING, '
'TIENDA:STRING, '
'MES_CONVENIO:STRING, '
'SUCESO:STRING, '
'CIUDAD:STRING, '
'VALOR_DEL_CONVENIO:STRING, '
'VALOR_PAGADO:STRING, '
'ESTADO_CONVENIO:STRING, '
'CONDIR:STRING, '
'CONTEL:STRING, '
'CONCEL:STRING, '
'CONEMAIL:STRING, '
'CODPLANPAGO:STRING, '
'VALOR_DEL_CONVENIO2:STRING, '
'VALOR_PAGADO2:STRING, '
'CODGRAPLANPAGO:STRING, '
'VALOR_DESCUENTO:STRING, '
'MEDIO_DE_PAGO:STRING, '
'USUARIO_GESTOR:STRING, '
'EMPRESA_QUE_GESTIONA:STRING, '
'CODCLIENTE:STRING, '
'AVATAR:STRING, '
'EMPLEADO:STRING, '
'PERFIL:STRING, '
'CUPO:STRING '
)
class formatearData(beam.DoFn):
def __init__(self, mifecha):
super(formatearData, self).__init__()
self.mifecha = mifecha
def process(self, element):
arrayCSV = element.split(';')
tupla= {
'FECHA' : self.mifecha,
'OPERACION' : str("avalcredito"),
'NIT_CLIENTE' : arrayCSV[0],
'NOMBRE_CLIENTE' : arrayCSV[1],
'RAZON_SOCIAL' : arrayCSV[2],
'GENERO' : arrayCSV[3],
'TELEFONO' : arrayCSV[4],
'CELULAR' : arrayCSV[5],
'DIRECCION' : arrayCSV[6],
'FECHA_GRABACION_CONVENIO' : arrayCSV[7],
'FECHA_CONVENIO' : arrayCSV[8],
'TIENDA' : arrayCSV[9],
'MES_CONVENIO' : arrayCSV[10],
'SUCESO' : arrayCSV[11],
'CIUDAD' : arrayCSV[12],
'VALOR_DEL_CONVENIO' : arrayCSV[13],
'VALOR_PAGADO' : arrayCSV[14],
'ESTADO_CONVENIO' : arrayCSV[15],
'CONDIR' : arrayCSV[16],
'CONTEL' : arrayCSV[17],
'CONCEL' : arrayCSV[18],
'CONEMAIL' : arrayCSV[19],
'CODPLANPAGO' : arrayCSV[20],
'VALOR_DEL_CONVENIO2' : arrayCSV[21],
'VALOR_PAGADO2' : arrayCSV[22],
'CODGRAPLANPAGO' : arrayCSV[23],
'VALOR_DESCUENTO' : arrayCSV[24],
'MEDIO_DE_PAGO' : arrayCSV[25],
'USUARIO_GESTOR' : arrayCSV[26],
'EMPRESA_QUE_GESTIONA' : arrayCSV[27],
'CODCLIENTE' : arrayCSV[28],
'AVATAR' : arrayCSV[29],
'EMPLEADO' : arrayCSV[30],
'PERFIL' : arrayCSV[31],
'CUPO' : arrayCSV[32]
}
return [tupla]
def run(archivo, mifecha):
gcs_path = "gs://ct-unificadas" #Definicion de la raiz del bucket
gcs_project = "contento-bi"
mi_runer = ("DirectRunner", "DataflowRunner")[socket.gethostname()=="contentobi"]
pipeline = beam.Pipeline(runner=mi_runer, argv=[
"--project", gcs_project,
"--staging_location", ("%s/dataflow_files/staging_location" % gcs_path),
"--temp_location", ("%s/dataflow_files/temp" % gcs_path),
"--output", ("%s/dataflow_files/output" % gcs_path),
"--setup_file", "./setup.py",
"--max_num_workers", "10",
"--subnetwork", "https://www.googleapis.com/compute/v1/projects/contento-bi/regions/us-central1/subnetworks/contento-subnet1"
])
lines = pipeline | 'Lectura de Archivo' >> ReadFromText(archivo,skip_header_lines=1)
transformed = (lines | 'Formatear Data' >> beam.ParDo(formatearData(mifecha)))
transformed | 'Escritura a BigQuery unificadas' >> beam.io.WriteToBigQuery(
gcs_project + ":unificadas.base_acuerdos_avalcredito",
schema=TABLE_SCHEMA,
create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,
write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND
)
jobObject = pipeline.run()
# jobID = jobObject.job_id()
return ("Corrio Full HD")
|
from SWTApp import app
print("hello trout")
if __name__ == '__main__':
app.run()
|
from peewee import *
import random
import sys
import os
import time
db = PostgresqlDatabase('flashcards', user="postgres", password='', host='localhost', port=5432)
db.connect()
class BaseModel(Model):
class Meta:
database = db
class Cards(BaseModel):
spanish = CharField()
english = CharField()
round = 0
#CLEAR TERMINAL SCREEN
def clear_screen():
if os.name == 'posix':
_ = os.system('clear')
else:
_ = os.system('cls')
#START THE PROGRAM
def start_app():
time.sleep(.1)
clear_screen()
print("\n**********************************************\n* Welcome to Spanish Vocabulary Flash Cards! *\n** ********************************************\n")
while True:
play_or_manage = input(f"Would you like to play a game or manage the cards?\nEnter 'play' to play a game or 'manage' to manage the cards. To exit type 'exit'.\n")
if play_or_manage in ['play', 'manage', 'exit']:
break
else:
print("\nInvalid entry, please try again.")
if play_or_manage == 'play':
game_setup()
elif play_or_manage == 'manage':
choose_task()
elif play_or_manage == 'exit':
sys.exit()
# INITIALIZE GAME
def game_setup():
time.sleep(.3)
clear_screen()
global round
user_count = input("\nHow many cards would you like to play with?\n")
while True:
user_lang = input("Would you like to guess Spanish or English?\n").lower()
if user_lang in ['english', 'spanish']:
break
else:
print("\nInvalid entry, please try again.")
round += 1
query = list(Cards.select().order_by(fn.Random()).limit(user_count))
def create_card(val):
card = {
'spanish': val.spanish,
'english': val.english,
'correct': 0,
'incorrect': 0
}
return card
game_deck = list(map(create_card ,query))
play_game(game_deck, user_lang)
#PLAY A ROUND OF THE GAME
def play_game(deck, lang):
correct = 0
incorrect = 0
if lang == 'english':
lang2 = 'spanish'
else:
lang2 = 'english'
for i in range(0, len(deck)):
clear_screen()
guess = input(f"How do you say {deck[i][lang2]} in {lang.title()}?\n")
if guess == deck[i][lang]:
correct += 1
deck[i]['correct'] += 1
print("Correct!\n")
time.sleep(3)
else:
incorrect += 1
deck[i]['incorrect'] += 1
print(
f"Incorrect! The correct answer is {deck[i][lang]}.\nYou've missed this question {deck[i]['incorrect']} times this game.\n")
time.sleep(3)
end_round(correct, incorrect, deck, lang)
#END THE ROUND AND CHOOSE TO PLAY AGAIN/RESET
def end_round(correct, incorrect, game_deck, lang):
clear_screen()
global round
print(f"Game over! in round {round} you got {correct} correct and missed {incorrect}.\n")
while True:
end_choice = input("If you would like to play again with this deck, enter 'replay'.\n\
If you would like to return to the home screen, enter 'home.\n")
if end_choice in ['replay', 'home']:
break
else:
print("\nInvalid entry, please try again.")
if end_choice == 'replay':
round += 1
game_deck = randomize_deck(game_deck)
play_game(game_deck, lang)
elif end_choice == 'home':
reset()
#RANDOMIZE THE EXISTING DECK
def randomize_deck(game_deck):
random.shuffle(game_deck)
return game_deck
#RESET APP
def reset():
global round
round = 0
start_app()
#CRUD
#SET TASK TYPE
def choose_task():
time.sleep(.1)
clear_screen()
task= input("\nWhat would you like to do?\nTo create a new card, enter 'create'.\nTo edit an existing card, enter 'edit'.\nTo delete a card, enter 'delete'.\nTo return to the main screen, enter 'home'.\n")
if task == 'create':
create_card()
elif task == 'edit':
edit_card()
elif task == 'delete':
delete_card()
elif task == 'home':
start_app()
else:
print("Invalid entry, please try again. ")
choose_task()
#CREATE A NEW CARD
def create_card():
time.sleep(.1)
clear_screen()
spanish = input(f"\nEnter the word in Spanish:\n")
english = input(f"Enter the translation in English:\n")
new_card = Cards(spanish=spanish, english=english)
new_card.save()
print(f"Success! the new card is id:{Cards.get(Cards.spanish == spanish)}\n")
stay_or_go(choose_task)
#EDIT A CARD
def edit_card():
time.sleep(.1)
clear_screen()
to_be_edited = input("\nPlease input the Spanish word for the card to edit:\n")
while True:
s_or_e = input("Would you like to edit the Spanish or English?\n").lower()
if s_or_e in ['spanish', 'english']:
break
else:
print("\nInvalid entry, please try again.")
new_value = input("Please enter the new word:\n")
card = Cards.get(Cards.spanish == to_be_edited)
if s_or_e == 'spanish':
card.spanish = new_value
elif s_or_e == 'english':
card.english = new_value
card.save()
print(f"Success! card {card.id} has been updated with the new word {new_value} \n")
stay_or_go(choose_task)
#DELETE A CARD
def delete_card():
time.sleep(.1)
clear_screen()
to_be_deleted = input("\nPlease input the spanish word for the card to delete:\n")
card = Cards.get(Cards.spanish == to_be_deleted)
while True:
confirm = input(f"Are you sure you want to delete {to_be_deleted}?(y/n)\n").lower()
if confirm in ['y','n','yes','no']:
break
else:
print("\nInvalid entry, please try again.")
card.delete_instance()
print("Success, the card has been deleted.")
stay_or_go(choose_task)
def stay_or_go(callback):
time.sleep(3)
clear_screen()
while True:
stay_go = input("Would you like to make another update to the cards? (y/n)\n")
if stay_go in ['yes', 'y', 'no', 'n']:
break
else:
print("\nInvalid entry, please try again.")
if stay_go == 'y' or stay_go == 'yes':
callback()
elif stay_go == 'n' or stay_go == 'no':
start_app()
start_app()
|
import os
import pandas as pd
import plotly.express as px
import plotly.io as pio
import streamlit as st
# consts
APP_ROOT = os.path.dirname(os.path.abspath(__file__))
# data
df = pd.read_csv(
"{APP_ROOT}/data/data.csv".format(APP_ROOT=APP_ROOT),
)
# style
st.markdown(
"""
<style>.reportview-container .main .block-container{padding: 0}</style>
""",
unsafe_allow_html=True
)
# sidemenu
st.sidebar.markdown(
"### MLB Draft: Pick-By-Pick Bonuses"
)
year = st.sidebar.selectbox(
"Year", df["Year"].sort_values().unique()
)
team = st.sidebar.selectbox(
"Team", df["TeamNm"].sort_values().unique()
)
template = st.sidebar.selectbox(
"Template", list(pio.templates.keys())
)
# body
st.markdown(
"# {year}/{team}".format(year=year, team=team)
)
ydf = df[df["Year"] == year]
tdf = ydf[ydf["TeamNm"] == team]
graph = px.line(
tdf, x='Pick', y='BonusAmount', color='BonusType',
template=template, hover_name='FullNm', height=500, width=800,
labels=dict({"BonusAmount": "$", "Pick": "Overall Pick"})
)
graph.update_layout(
margin=dict(l=20, r=20, t=50, b=0),
)
st.write(graph)
|
from fractions import gcd
class Solution:
# @param A : list of integers
# @param B : list of integers
# @return an integer
def maxPoints(self, A, B):
from fractions import gcd
class Solution:
# @param A : list of integers
# @param B : list of integers
# @return an integer
def maxPoints(self, A, B):
if len(A) <= 2:
return len(A)
points = (zip(A, B))
lines = {}
maximum = 2
for i in range(len(points) - 1):
for j in range(i + 1, len(points)):
num = points[j][1] - points[i][1]
denom = points[j][0] - points[i][0]
if denom == 0 and num == 0:
# points that have identical coordinates form their own "line"
# in addition to any other lines they may be in
intercept = points[i]
elif denom == 0:
# vertical lines
num = 0
intercept = points[j][0]
elif num == 0:
# horizontal lines
num = denom = None
intercept = points[j][1]
else:
# simplify the slope -- I thought it was easier to debug this way than just dividing it
the_gcd = gcd(num, denom)
num /= the_gcd
denom /= the_gcd
# and find the b of the y = mx + b
intercept = points[i][1] - ((num * 1.0) / denom) * points[i][0]
if (num, denom, intercept) in lines:
for point in [(points[i][0], points[i][1], i), (points[j][0], points[j][1], j)]:
if point not in lines[(num, denom, intercept)]:
lines[(num, denom, intercept)].append(point)
else:
lines[(num, denom, intercept)] = [(points[i][0], points[i][1], i),
(points[j][0], points[j][1], j)]
maximum = max(maximum, len(lines[(num, denom, intercept)]))
return maximum
|
import numpy as np
from scipy import linalg
from scipy.integrate import dblquad
#For Olivier and qcm
#Copyright Charles-David Hebert
class ModelNambu:
""" """
def __init__(self, t: float, tp: float, tpp:float, mu: float, z_vec, sEvec_c) -> None:
""" """
self.t = t ; self.tp = tp; self.mu = mu ;
self.z_vec = z_vec ; self.sEvec_c = sEvec_c
self.cumulants = self.build_cumulants()
return None
def t_value(self, kx: float, ky: float) : # This is t_ij(k_tilde)
"""this t_value is only good if tpp = 0.0"""
t = self.t ; tp = self.tp; tpp = self.tpp
t_val = np.zeros((4, 4), dtype=complex)
ex = np.exp(-2.0j*kx) ; emx = np.conjugate(ex)
ey = np.exp(-2.0j*ky) ; emy = np.conjugate(ey)
tloc = np.array([[0.0, -t, -t, -tp],
[-t, 0.0, 0.0, -t],
[-t, 0.0, 0.0, -t],
[-tp, -t, -t, 0.0]])
t_val += tloc
t_val[0, 0] += -tpp*(ex+emx+ey+emy); t_val[0, 1] += -t*ex; t_val[0, 3] += -tp*(ex + ey + ex*ey); t_val[0, 2] += -t*ey
t_val[1, 0] += -t*emx; t_val[1, 1] += -tpp*(ex+emx+ey+emy); t_val[1, 3] += -t*ey; t_val[1, 2] += -tp*(emx + ey + emx*ey)
t_val[3, 0] += -tp*(emx + emy + emx*emy); t_val[3, 1] += -t*emy; t_val[3, 3] += -tpp*(ex+emx+ey+emy); t_val[3, 2] += -t*emx
t_val[2, 0] += -t*emy; t_val[2, 1] += -tp*(ex + emy + ex*emy); t_val[2, 3] += -t*ex; t_val[2, 2] += -tpp*(ex+emx+ey+emy)
return (t_val)
def build_gf_ktilde(self, kx: float, ky: float, ii: int):
""" """
gf_ktilde = np.zeros((8,8), dtype=complex)
(zz, mu, sE) = (self.z_vec[ii], self.mu, self.sEvec_c[ii])
gf_ktilde[0, 0] = gf_ktilde[1, 1] = gf_ktilde[2, 2] = gf_ktilde[3, 3] = (zz + mu)
gf_ktilde[4, 4] = gf_ktilde[5, 5] = gf_ktilde[6, 6] = gf_ktilde[7, 7] = -np.conjugate(-np.conjugate(zz) + mu)
gf_ktilde -= self.t_value(kx, ky)
gf_ktilde -= sE
gf_ktilde = linalg.inv(gf_ktilde.copy())
return gf_ktilde
def build_cumulants(self):
""" """
cumulants = np.zeros(self.sEvec_c.shape, dtype=complex)
for ii in range(cumulants.shape[0]):
tmp = np.zeros((8, 8), dtype=complex)
(zz, mu, sE) = (self.z_vec[ii], self.mu, self.sEvec_c[ii])
tmp[0, 0] = tmp[1, 1] = tmp[2, 2] = tmp[3, 3] = (zz + mu)
tmp[4, 4] = tmp[5, 5] = tmp[6, 6] = tmp[7, 7] = -np.conjugate(-np.conjugate(zz) + mu)
tmp -= sE
tmp = linalg.inv(tmp.copy())
cumulants[ii] = tmp.copy()
return cumulants
def Y1Limit(self, x: float) -> float:
return -np.pi
def Y2Limit(self, x: float) -> float:
return np.pi
def periodize(self, kx: float, ky: float, arg):
""" """
ex = np.exp(1.0j*kx)
ey = np.exp(1.0j*ky)
v = np.array([1., ex, ex*ey, ey], dtype=complex)
nambu_periodized = np.zeros((2, 2), dtype=complex)
for i in range(4):
for j in range(4):
nambu_periodized[0, 0] += np.conj(v[i])*arg[i, j]*v[j]
nambu_periodized[0, 1] += np.conj(v[i])*arg[i, j + 4]*v[j]
nambu_periodized[1, 0] += np.conj(v[i])*arg[i + 4, j]*v[j]
nambu_periodized[1, 1] += np.conj(v[i])*arg[i + 4, j + 4]*v[j]
return (0.25*nambu_periodized)
def periodize_nambu(self, kx: float, ky: float, ii: int): # Green periodization
""" """
nambu_ktilde = self.build_gf_ktilde(kx, ky, ii)
return self.periodize(kx, ky, nambu_ktilde)
def stiffness(self, kx: float, ky: float, ii: int) -> float:
""" """
nambu_periodized = self.periodize(kx, ky, self.build_gf_ktilde(kx, ky, ii)) #self.periodize_nambu(kx, ky, ii)
#coskx: float = np.cos(kx)
#cosky: float = np.cos(ky)
#tperp = -(coskx - cosky)*(coskx - cosky) # t_perp = -1.0
#tperp_squared = tperp*tperp
#N_c = 4.0
tperp_squared = 2.0
return (-1.0 * np.real(-4.0*tperp_squared*nambu_periodized[0, 1]*nambu_periodized[1, 0]))
def periodize_cumulant(self, kx: float, ky: float, ii: int): # cumulant periodization
""" """
tmp = linalg.inv(self.periodize(kx, ky, self.cumulants[ii]))
eps = -2.0*self.t*(np.cos(kx) + np.cos(ky)) - 2.0*self.tp*np.cos(kx + ky)
tmp[0, 0] -= eps; tmp[1, 1] += eps
return linalg.inv(tmp)
def stiffness_cum(self, kx: float, ky: float, ii: int) -> float:
""" """
nambu_periodized = self.periodize_cumulant(kx, ky, ii) #linalg.inv(tmp.copy())
#coskx: float = np.cos(kx)
#cosky: float = np.cos(ky)
#tperp = -(coskx - cosky)*(coskx - cosky) # t_perp = -1.0
#tperp_squared = tperp*tperp
#N_c = 4.0
tperp_squared = 2.0
return (-1.0 * np.real(-4.0*tperp_squared*nambu_periodized[0, 1]*nambu_periodized[1, 0]))
def stiffness_trace(self, kx: float, ky: float, ii: int) -> float:
"""4/N_c Trace(F F^Dag) """
gf_ktilde = self.build_gf_ktilde(kx, ky, ii)
trace = np.trace(np.dot(gf_ktilde[:4:, 4::], gf_ktilde[4::, :4:]))
tperp_squared = 2.0
return (tperp_squared*np.real(trace))
|
from .body import get_body_spec, get_body_generator
from .brain import get_brain_spec, get_brain_generator
from .robot import get_tree_generator, make_planar
__author__ = 'Elte Hupkes'
|
from json import load
from pprint import pprint as pp
import requests
# https://docs.pinata.cloud/api-pinning/pin-by-hash
BASE_URL = 'https://api.pinata.cloud'
PIN_BY_HASH = f'{BASE_URL}/pinning/pinByHash'
def pin_request_body(cid, name):
# TODO: skip name if missing, set creator as kv
if not name:
name = 'x'
name = name.strip()
return {
'pinataMetadata': {
'name': name,
'keyvalues': {
'zetv': 0,
'title': name
}
},
'hashToPin': cid
}
class Pinata:
def __init__(self):
with open('/home/anders/.zet.json') as f:
jsn = load(f)
self.auth = jsn
self.headers = {'Authorization': f'Bearer {jsn["jwt"]}'}
def pin(self, cid, name):
pp(pin_request_body(cid, name))
r = requests.post(PIN_BY_HASH,
json=pin_request_body(cid, name),
headers=self.headers)
return r.json()
|
# This file is part of beets.
# Copyright 2019, Rahul Ahuja.
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
"""Adds Deezer release and track search support to the autotagger
"""
import collections
import time
import requests
import unidecode
from beets import ui
from beets.autotag import AlbumInfo, TrackInfo
from beets.dbcore import types
from beets.library import DateType
from beets.plugins import BeetsPlugin, MetadataSourcePlugin
from beets.util.id_extractors import deezer_id_regex
class DeezerPlugin(MetadataSourcePlugin, BeetsPlugin):
data_source = 'Deezer'
item_types = {
'deezer_track_rank': types.INTEGER,
'deezer_track_id': types.INTEGER,
'deezer_updated': DateType(),
}
# Base URLs for the Deezer API
# Documentation: https://developers.deezer.com/api/
search_url = 'https://api.deezer.com/search/'
album_url = 'https://api.deezer.com/album/'
track_url = 'https://api.deezer.com/track/'
id_regex = deezer_id_regex
def __init__(self):
super().__init__()
def commands(self):
"""Add beet UI commands to interact with Deezer."""
deezer_update_cmd = ui.Subcommand(
'deezerupdate', help=f'Update {self.data_source} rank')
def func(lib, opts, args):
items = lib.items(ui.decargs(args))
self.deezerupdate(items, ui.should_write())
deezer_update_cmd.func = func
return [deezer_update_cmd]
def album_for_id(self, album_id):
"""Fetch an album by its Deezer ID or URL and return an
AlbumInfo object or None if the album is not found.
:param album_id: Deezer ID or URL for the album.
:type album_id: str
:return: AlbumInfo object for album.
:rtype: beets.autotag.hooks.AlbumInfo or None
"""
deezer_id = self._get_id('album', album_id, self.id_regex)
if deezer_id is None:
return None
album_data = requests.get(self.album_url + deezer_id).json()
if 'error' in album_data:
self._log.debug(f"Error fetching album {album_id}: "
f"{album_data['error']['message']}")
return None
contributors = album_data.get('contributors')
if contributors is not None:
artist, artist_id = self.get_artist(contributors)
else:
artist, artist_id = None, None
release_date = album_data['release_date']
date_parts = [int(part) for part in release_date.split('-')]
num_date_parts = len(date_parts)
if num_date_parts == 3:
year, month, day = date_parts
elif num_date_parts == 2:
year, month = date_parts
day = None
elif num_date_parts == 1:
year = date_parts[0]
month = None
day = None
else:
raise ui.UserError(
"Invalid `release_date` returned "
"by {} API: '{}'".format(self.data_source, release_date)
)
tracks_obj = requests.get(
self.album_url + deezer_id + '/tracks'
).json()
tracks_data = tracks_obj['data']
if not tracks_data:
return None
while "next" in tracks_obj:
tracks_obj = requests.get(tracks_obj['next']).json()
tracks_data.extend(tracks_obj['data'])
tracks = []
medium_totals = collections.defaultdict(int)
for i, track_data in enumerate(tracks_data, start=1):
track = self._get_track(track_data)
track.index = i
medium_totals[track.medium] += 1
tracks.append(track)
for track in tracks:
track.medium_total = medium_totals[track.medium]
return AlbumInfo(
album=album_data['title'],
album_id=deezer_id,
deezer_album_id=deezer_id,
artist=artist,
artist_credit=self.get_artist([album_data['artist']])[0],
artist_id=artist_id,
tracks=tracks,
albumtype=album_data['record_type'],
va=len(album_data['contributors']) == 1
and artist.lower() == 'various artists',
year=year,
month=month,
day=day,
label=album_data['label'],
mediums=max(medium_totals.keys()),
data_source=self.data_source,
data_url=album_data['link'],
cover_art_url=album_data.get('cover_xl'),
)
def _get_track(self, track_data):
"""Convert a Deezer track object dict to a TrackInfo object.
:param track_data: Deezer Track object dict
:type track_data: dict
:return: TrackInfo object for track
:rtype: beets.autotag.hooks.TrackInfo
"""
artist, artist_id = self.get_artist(
track_data.get('contributors', [track_data['artist']])
)
return TrackInfo(
title=track_data['title'],
track_id=track_data['id'],
deezer_track_id=track_data['id'],
isrc=track_data.get('isrc'),
artist=artist,
artist_id=artist_id,
length=track_data['duration'],
index=track_data.get('track_position'),
medium=track_data.get('disk_number'),
deezer_track_rank=track_data.get('rank'),
medium_index=track_data.get('track_position'),
data_source=self.data_source,
data_url=track_data['link'],
deezer_updated=time.time(),
)
def track_for_id(self, track_id=None, track_data=None):
"""Fetch a track by its Deezer ID or URL and return a
TrackInfo object or None if the track is not found.
:param track_id: (Optional) Deezer ID or URL for the track. Either
``track_id`` or ``track_data`` must be provided.
:type track_id: str
:param track_data: (Optional) Simplified track object dict. May be
provided instead of ``track_id`` to avoid unnecessary API calls.
:type track_data: dict
:return: TrackInfo object for track
:rtype: beets.autotag.hooks.TrackInfo or None
"""
if track_data is None:
deezer_id = self._get_id('track', track_id, self.id_regex)
if deezer_id is None:
return None
track_data = requests.get(self.track_url + deezer_id).json()
if 'error' in track_data:
self._log.debug(f"Error fetching track {track_id}: "
f"{track_data['error']['message']}")
return None
track = self._get_track(track_data)
# Get album's tracks to set `track.index` (position on the entire
# release) and `track.medium_total` (total number of tracks on
# the track's disc).
album_tracks_data = requests.get(
self.album_url + str(track_data['album']['id']) + '/tracks'
).json()['data']
medium_total = 0
for i, track_data in enumerate(album_tracks_data, start=1):
if track_data['disk_number'] == track.medium:
medium_total += 1
if track_data['id'] == track.track_id:
track.index = i
track.medium_total = medium_total
return track
@staticmethod
def _construct_search_query(filters=None, keywords=''):
"""Construct a query string with the specified filters and keywords to
be provided to the Deezer Search API
(https://developers.deezer.com/api/search).
:param filters: (Optional) Field filters to apply.
:type filters: dict
:param keywords: (Optional) Query keywords to use.
:type keywords: str
:return: Query string to be provided to the Search API.
:rtype: str
"""
query_components = [
keywords,
' '.join(f'{k}:"{v}"' for k, v in filters.items()),
]
query = ' '.join([q for q in query_components if q])
if not isinstance(query, str):
query = query.decode('utf8')
return unidecode.unidecode(query)
def _search_api(self, query_type, filters=None, keywords=''):
"""Query the Deezer Search API for the specified ``keywords``, applying
the provided ``filters``.
:param query_type: The Deezer Search API method to use. Valid types
are: 'album', 'artist', 'history', 'playlist', 'podcast',
'radio', 'track', 'user', and 'track'.
:type query_type: str
:param filters: (Optional) Field filters to apply.
:type filters: dict
:param keywords: (Optional) Query keywords to use.
:type keywords: str
:return: JSON data for the class:`Response <Response>` object or None
if no search results are returned.
:rtype: dict or None
"""
query = self._construct_search_query(
keywords=keywords, filters=filters
)
if not query:
return None
self._log.debug(
f"Searching {self.data_source} for '{query}'"
)
response = requests.get(
self.search_url + query_type, params={'q': query}
)
response.raise_for_status()
response_data = response.json().get('data', [])
self._log.debug(
"Found {} result(s) from {} for '{}'",
len(response_data),
self.data_source,
query,
)
return response_data
def deezerupdate(self, items, write):
"""Obtain rank information from Deezer."""
for index, item in enumerate(items, start=1):
self._log.info('Processing {}/{} tracks - {} ',
index, len(items), item)
try:
deezer_track_id = item.deezer_track_id
except AttributeError:
self._log.debug('No deezer_track_id present for: {}', item)
continue
try:
rank = requests.get(
f"{self.track_url}{deezer_track_id}").json().get('rank')
self._log.debug('Deezer track: {} has {} rank',
deezer_track_id, rank)
except Exception as e:
self._log.debug('Invalid Deezer track_id: {}', e)
continue
item.deezer_track_rank = int(rank)
item.store()
item.deezer_updated = time.time()
if write:
item.try_write()
|
#pin = "881120-1068234"
pin = "881120-2068234"
gender = int(pin[-7])
#성별은 주민번호 뒷자리 첫번째 숫자다
print("성별 숫자 : {0}".format(gender))
if gender==1:
print("남성")
elif gender==2:
print("여성")
|
import datetime
import pytz
class Account(object):
#simple account class with balance
@staticmethod
def _current_time():
utc_time = datetime.datetime.utcnow()
return pytz.utc.localize(utc_time)
def __init__(self , name , balance):
self.__name = name
self.__balance = balance
self.__transaction_list = [(Account._current_time() , balance)]
self.Showbalance()
print("Account created for " + self.__name)
def deposit(self , amount):
if amount > 0:
self.__balance += amount
self.Showbalance()
self.__transaction_list.append((Account._current_time() , amount))
def withdraw(self , amount):
if amount > self.__balance :
print("You don't have enough money")
self.Showbalance()
else:
self.__balance -= amount
self.Showbalance()
self.__transaction_list.append((Account._current_time() , -amount))
def Showbalance(self):
print("the balance is {}".format(self.__balance))
def show_transactions(self):
for date , amount in self.__transaction_list :
if amount > 0 :
tran_type = "Deposited"
else:
tran_type = "withdrawn"
amount *= -1
print("{:6} {} on {} (local time was {})".format(amount , tran_type , date , date.astimezone()))
if __name__ == "__main__":
amin=Account("amin" , 200)
# amin.__balance = 1000
amin.Showbalance()
amin.deposit(1000)
amin.withdraw(700)
amin.show_transactions()
|
import datetime
from rest_framework import generics, viewsets
from docxtpl import DocxTemplate, RichText
from django.http import HttpResponse
from collections import OrderedDict
from rest_framework.permissions import IsAuthenticated, AllowAny
import html2text
from ..models import AcademicPlan, Zun, WorkProgramInFieldOfStudy, FieldOfStudy, WorkProgram, \
ImplementationAcademicPlan, WorkProgramChangeInDisciplineBlockModule
from ..serializers import WorkProgramSerializer
from rest_framework import generics
# from GrabzIt import GrabzItDOCXOptions
# from GrabzIt import GrabzItClient
# import pypandoc
# import os
# import pdfkit
# import codecs
# import os
# from pdf2docx import parse
# from pdf2docx import Converter
# from docx import Document
#
# import PyPDF2
# import os
# import docx
# import lxml.html
# import lxml.html.clean
from docx import Document
"""Скачивание рпд в формате docx/pdf"""
def render_context(context, **kwargs):
""" Функция, которая возвращает context с параметрами для шаблона """
fs_obj = FieldOfStudy.objects.get(pk=kwargs['field_of_study_id'])
ap_obj = AcademicPlan.objects.get(pk=kwargs['academic_plan_id'])
print(context['work_program_in_change_block'])
#try:
semester = []
for wpcb in context['work_program_in_change_block']:
print(wpcb['credit_units'])
# print(wpcb['discipline_block_module']['descipline_block'][0]['academic_plan']['id'])
# print(wpcb['discipline_block_module']['descipline_block']['academic_plan'])
# print(WorkProgramChangeInDisciplineBlockModule.objects.filter(id = wpcb['id']))
#if wpcb['discipline_block_module']['descipline_block']['academic_plan']['id'] == ap_obj.id:
credit_units_list = []
if wpcb['discipline_block_module']['descipline_block'][0]['academic_plan']['id'] == ap_obj.id:
wpcb_pk = wpcb['id']
print('credit units', wpcb['credit_units'])
# semester = [{'s': i, 'c': wpcb['credit_units'][i]} for i in range(len(wpcb['credit_units'])) if
# wpcb['credit_units'] if wpcb['credit_units'][i] != 0]
wpcb['credit_units'] = wpcb['credit_units'].replace(' ', '').replace('.0', '')
print(wpcb['credit_units'])
for cu in range (0, 16, 2):
if list(wpcb['credit_units'][cu]) != 0:
credit_units_list.append(wpcb['credit_units'][cu])
print('credit_units_list', credit_units_list)
for cu in credit_units_list:
print('cu', cu)
try:
if int(float(cu)) != 0:
print('cicle cu', cu)
print('nomer semestra', credit_units_list.index(cu)+1)
semester.append({'s': credit_units_list.index(cu)+1, 'c': cu, 'h': int(cu) * 36})
credit_units_list[credit_units_list.index(cu)] = 0
except:
pass
# try:
# for cu in credit_units_list:
# print(cu)
# if int(float(cu)) != 0:
# semester.append({'s': credit_units_list.index(cu)+1, 'c': cu})
# except:
# pass
# except:
# semester = [{'s': '-', 'c': '-', 'h': '-', 'e': '-'}]
# wpcb_pk = context['work_program_in_change_block'][0]['id']
wp_in_fs = WorkProgramInFieldOfStudy.objects.get(work_program_change_in_discipline_block_module__id=wpcb_pk,
work_program__id=context['id'])
zun_obj = Zun.objects.filter(wp_in_fs=wp_in_fs)
tbl_competence = []
for z in zun_obj:
outcomes = [o.item.name for o in z.items.all()]
tbl_competence.append(
{'competence': str(z.indicator_in_zun.competence.number) + ' ' + str(z.indicator_in_zun.competence.name),
'indicator': str(z.indicator_in_zun.number) + ' ' + str(z.indicator_in_zun.name),
'outcomes': ', '.join(map(str, set(outcomes)))})
contact_work, lecture_classes, laboratory, practical_lessons, SRO, total_hours = 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
online_sections, url_online_course, evaluation_tools = [], [], []
online_list_number = 0
for i in context['discipline_sections']:
online_names, topics_list = [], []
if i['contact_work'] is None:
i['contact_work'] = ''
else:
contact_work += float(i['contact_work'])/context['number_of_semesters']
if i['lecture_classes'] is None:
i['lecture_classes'] = ''
else:
lecture_classes += float(i['lecture_classes'])/context['number_of_semesters']
if i['laboratory'] is None:
i['laboratory'] = ''
else:
laboratory += float(i['laboratory'])/context['number_of_semesters']
if i['practical_lessons'] is None:
i['practical_lessons'] = ''
else:
practical_lessons += float(i['practical_lessons'])/context['number_of_semesters']
if i['SRO'] is None:
i['SRO'] = ''
else:
SRO += float(i['SRO'])/context['number_of_semesters']
total_hours += 0.0 if i['total_hours'] is None else float(i['total_hours'])/context['number_of_semesters']
# if i['evaluation_tools'] not in evaluation_tools:
# i['evaluation_tools']['description'] = ''
# evaluation_tools.extend(i['evaluation_tools'])
for ev_tool in i['evaluation_tools']:
if ev_tool not in evaluation_tools:
#ev_tool['description'] = ''
evaluation_tools.append(ev_tool)
#('evaluation_tools', evaluation_tools)
for j in i['topics']:
topics_list.append(j['description'])
if j['url_online_course'] is None:
pass
else:
online_sections.append(i['ordinal_number'])
print('online_sections', online_sections)
online_list_number +=1
online_names.append('{} (url: {})'.format(j['url_online_course']['title'], j['url_online_course']['external_url']))
if j['url_online_course'] not in url_online_course:
url_online_course.append(j['url_online_course'])
i['online_list'] = ', '.join(map(str, set(online_names)))
i['topics_list'] = ', '.join(map(str, set(topics_list)))
template_context = OrderedDict()
template_context['title'] = context['title']
template_context['field_of_study_code'] = fs_obj.number
template_context['field_of_study'] = fs_obj.title
if context['qualification'] == 'bachelor':
template_context['QUALIFICATION'] = 'БАКАЛАВР'
elif context['qualification'] == 'master':
template_context['QUALIFICATION'] = 'МАГИСТР'
else:
template_context['QUALIFICATION'] = 'ИНЖЕНЕР'
#template_context['academic_plan'] = ap_obj.academic_plan_in_field_of_study
template_context['academic_plan'] = str(ImplementationAcademicPlan.objects.get(academic_plan__id = ap_obj.id).title) + ' (' + \
str(FieldOfStudy.objects.get(implementation_academic_plan_in_field_of_study__academic_plan__id = ap_obj.id).number) + ')'
template_context['semester'] = semester
print('template_context', template_context['semester'])
template_context['total_hours_1'] = [round(contact_work, 2), round(lecture_classes, 2), round(laboratory, 2), round(practical_lessons, 2), round(SRO, 2)]
print('total_hours_1', template_context['total_hours_1'])
template_context['year'] = kwargs['year']
if context['authors'] is None:
template_context['author'] = ''
template_context['authors'] = ''
else:
template_context['author'] = context['authors']
template_context['authors'] = context['authors'].split(', ')
template_context['tbl_competence'] = tbl_competence
template_context['total_hours'] = [contact_work, lecture_classes, laboratory, practical_lessons, SRO, total_hours]
template_context['is_no_online'] = True if online_sections == 0 else False
template_context['is_online'] = True if online_sections else False
print('is_online', template_context['is_online'])
template_context['X'] = 'X'
template_context['sections_online'] = ', '.join(map(str, set(online_sections)))
template_context['sections_replaced_onl'] = ''
online_list_number_list = ''
for i in range(1, online_list_number+1):
online_list_number_list = online_list_number_list + '{}'.format(str(i))
if int(i) != int(online_list_number):
online_list_number_list = online_list_number_list + ', '
print('online_list_number_list', online_list_number, online_list_number_list)
template_context['online_list_number_list'] = online_list_number_list
template_context['bibliographic_reference'] = context['bibliographic_reference']
template_context['online_course'] = url_online_course
template_context['evaluation_tools'] = evaluation_tools
filename = str(fs_obj.number) + '_' + str(context['discipline_code']) + '_' + str(
context['qualification']) + '_' + str(kwargs['year']) + '_' + datetime.datetime.today().strftime(
"%Y-%m-%d-%H.%M.%S") + '.docx'
"""Данные для таблицы планирования результатов обучения по дисциплине (БаРС)"""
outcomes_evaluation_tool = []
current_evaluation_tool = []
evaluation_tool_semester_1 = []
evaluation_tool_semester_2 = []
evaluation_tool_semester_3 = []
evaluation_tool_semester_4 = []
items_max_semester_1 = []
items_min_semester_1 = []
items_max_semester_2 = []
items_min_semester_2 = []
items_max_semester_3 = []
items_min_semester_3 = []
items_max_semester_4 = []
items_min_semester_4 = []
k=0
evaluation_tools_pdf_docs = []
#print('tooools', template_context['evaluation_tools'])
for i in template_context['evaluation_tools']:
i['description'] = ''
i['url']= 'https://op.itmo.ru/work-program/{}/evaluation-tools/{}'.format(context['id'], i['id'])
tpl
rt = RichText()
rt.add('Ссылка на описание оценочного средства', url_id=tpl.build_url_id('https://op.itmo.ru/work-program/{}/evaluation-tools/{}'.format(context['id'], i['id'])))
i['url'] = rt
print('name', i['name'])
if i['semester'] == 1:
evaluation_tool_semester_1.append(i)
if i['max'] is not None:
items_max_semester_1.append(i['max'])
if i['min'] is not None:
items_min_semester_1.append(i['min'])
elif i['semester'] == 2:
evaluation_tool_semester_2.append(i)
if i['max'] is not None:
items_max_semester_2.append(i['max'])
if i['min'] is not None:
items_min_semester_2.append(i['min'])
elif i['semester'] == 3:
evaluation_tool_semester_3.append(i)
if i['max'] is not None:
items_max_semester_3.append(i['max'])
if i['min'] is not None:
items_min_semester_3.append(i['min'])
elif i['semester'] == 4:
evaluation_tool_semester_4.append(i)
if i['max'] is not None:
items_max_semester_4.append(i['max'])
if i['min'] is not None:
items_min_semester_4.append(i['min'])
else:
pass
#print('semesters', evaluation_tool_semester_1)
#print('semesters___2', evaluation_tool_semester_2)
template_context['evaluation_tool_semester_1'] = evaluation_tool_semester_1
template_context['evaluation_tool_semester_2'] = evaluation_tool_semester_2
template_context['evaluation_tool_semester_3'] = evaluation_tool_semester_3
template_context['evaluation_tool_semester_4'] = evaluation_tool_semester_4
template_context['outcomes_evaluation_tool'] = outcomes_evaluation_tool
template_context['current_evaluation_tool'] = current_evaluation_tool
certification_evaluation_tools_semestr_1 = []
certification_evaluation_tools_semestr_2 = []
certification_evaluation_tools_semestr_3 = []
certification_evaluation_tools_semestr_4 = []
#print('certification_evaluation_tools_semestr_1', certification_evaluation_tools_semestr_1)
#print('certification_evaluation_tools_semestr_2', certification_evaluation_tools_semestr_2)
template_context['control_types_in_semester'] = ['', '', '', '']
for item in context['certification_evaluation_tools']:
print('dfdfdfd', item['name'])
try:
item['url']= 'https://op.itmo.ru/work-program/{}/intermediate-certification/{}'.format(context['id'], item['id'])
tpl
rt = RichText()
rt.add('Ссылка на описание оценочного средства', url_id=tpl.build_url_id('https://op.itmo.ru/work-program/{}/intermediate-certification/{}'.format(context['id'], item['id'])))
item['url'] = rt
item['description'] = html2text.html2text(item['description'])
if item['type'] == '1':
item['type'] = 'Экзамен'
elif item['type'] == '2':
item['type'] = 'Дифференцированный зачет'
elif item['type'] == '3':
item['type'] = 'Зачет'
elif item['type'] == '4':
item['type'] = 'Курсовая работа'
item ['description'] = ''
if item ['semester'] == 1:
if item['max'] is not None:
items_max_semester_1.append(item['max'])
if item['min'] is not None:
items_min_semester_1.append(item['min'])
certification_evaluation_tools_semestr_1.append(item)
semester[0]['t'] = item['type']
if item ['semester'] == 2:
print('maxxxxx', item['max'])
if item['max'] is not None:
items_max_semester_2.append(item['max'])
if item['min'] is not None:
items_min_semester_2.append(item['min'])
certification_evaluation_tools_semestr_2.append(item)
semester[1]['t'] = item['type']
if item ['semester'] == 3:
print('maxxxxx', item['max'])
if item['max'] is not None:
items_max_semester_3.append(item['max'])
if item['min'] is not None:
items_min_semester_3.append(item['min'])
certification_evaluation_tools_semestr_3.append(item)
semester[2]['t'] = item['type']
if item ['semester'] == 4:
print('maxxxxx', item['max'])
if item['max'] is not None:
items_max_semester_4.append(item['max'])
if item['min'] is not None:
items_min_semester_4.append(item['min'])
certification_evaluation_tools_semestr_4.append(item)
semester[3]['t'] = item['type']
else:
pass
except:
continue
# print('certification_evaluation_tools_semestr_1', certification_evaluation_tools_semestr_1)
# print('certification_evaluation_tools_semestr_2', certification_evaluation_tools_semestr_2)
template_context['certification_evaluation_tools_semestr_1'] = certification_evaluation_tools_semestr_1
template_context['certification_evaluation_tools_semestr_2'] = certification_evaluation_tools_semestr_2
template_context['certification_evaluation_tools_semestr_3'] = certification_evaluation_tools_semestr_3
template_context['certification_evaluation_tools_semestr_4'] = certification_evaluation_tools_semestr_4
try:
template_context['outcomes_max_all_semester_1'] = sum(items_max_semester_1) + int(context['extra_points'])
template_context['outcomes_max_all_semester_2'] = sum(items_max_semester_2) + int(context['extra_points'])
template_context['outcomes_max_all_semester_3'] = sum(items_max_semester_3) + int(context['extra_points'])
template_context['outcomes_max_all_semester_4'] = sum(items_max_semester_4) + int(context['extra_points'])
except:
pass
template_context['outcomes_min_all_semester_1'] = sum(items_min_semester_1)
template_context['outcomes_min_all_semester_2'] = sum(items_min_semester_2)
template_context['outcomes_min_all_semester_3'] = sum(items_min_semester_3)
template_context['outcomes_min_all_semester_4'] = sum(items_min_semester_4)
template_context['extra_points'] = context['extra_points']
#print('outcomes_evaluation_tool', template_context['outcomes_min_all_semester_2'])
#print(template_context['evaluation_tool_semester_2'])
# for item in context['discipline_sections']:
# for i in item['evaluation_tools']:
template_context['discipline_section'] = context['discipline_sections']
return template_context, filename
#, evaluation_tools_pdf_docs
"""Контроллер для выгрузки docx-файла РПД"""
class DocxFileExportView(generics.ListAPIView):
"""
Возвращает РПД в формате docx в браузере
"""
queryset = WorkProgram.objects.all()
serializer = WorkProgramSerializer
permission_classes = [AllowAny]
def combine_word_documents(self, filename, files):
new_files_array = []
new_files_array.append(filename)
for file in files:
new_files_array.append(file)
merged_document = Document()
for index, file in enumerate(new_files_array):
sub_doc = Document(file)
# Don't add a page break if you've reached the last file.
if index < len(files)-1:
sub_doc.add_page_break()
for element in sub_doc.element.body:
merged_document.element.body.append(element)
merged_document.save('upload/merged.docx')
def get(self, request, *args, **kwargs):
global tpl
tpl = DocxTemplate('/application/static-backend/export_template/RPD_shablon_2020_new.docx')
queryset = WorkProgram.objects.get(pk=kwargs['pk'])
serializer = WorkProgramSerializer(queryset)
data = dict(serializer.data)
# context, filename, evaluation_tools_pdf_docs = render_context(data, field_of_study_id=kwargs['fs_id'],
# academic_plan_id=kwargs['ap_id'], year=kwargs['year'])
context, filename = render_context(data, field_of_study_id=kwargs['fs_id'],
academic_plan_id=kwargs['ap_id'], year=kwargs['year'])
tpl.render(context)
tpl.save('upload/'+str(filename)) #-- сохранение в папку локально (нужно указать актуальный путь!)
# target_document = Document('upload/'+str(filename))
#
# input = Document('upload/exp_v2_6.docx')
#
# paragraphs = []
# for para in input.paragraphs:
# p = para.text
# target_document.add_paragraph(p)
# target_document.save('upload/exp_v2_6.docx')
#i['description'] = paragraphs
#evaluation_tools_pdf_docs.append(filename)
response = HttpResponse(content_type='application/vnd.openxmlformats-officedocument.wordprocessingml.document')
response['Content-Disposition'] = 'inline; filename="%s"' % filename
tpl.save(response)
#filename = 'upload/' + filename
#self.combine_word_documents(filename, evaluation_tools_pdf_docs)
return response
def render_context_syllabus(context, **kwargs):
""" Функция, которая возвращает context с параметрами для шаблона """
fs_obj = FieldOfStudy.objects.get(pk=kwargs['field_of_study_id'])
ap_obj = AcademicPlan.objects.get(pk=kwargs['academic_plan_id'])
try:
for wpcb in context['work_program_in_change_block']:
if wpcb['discipline_block_module']['descipline_block']['academic_plan'][
'educational_profile'] == ap_obj.educational_profile:
semester = [(i, wpcb['credit_units'][i], wpcb['change_type']) for i in range(len(wpcb['credit_units']))
if wpcb['credit_units'] if wpcb['credit_units'][i] != 0]
except:
semester = [('-', '-', ' ')]
template_context = OrderedDict()
if context['qualification'] == 'bachelor':
template_context['Qualification'] = 'Бакалавриат'
elif context['qualification'] == 'master':
template_context['Qualification'] = 'Магистратура'
else:
template_context['Qualification'] = 'Специалитет'
template_context['Name'] = context['title']
# template_context['status'] = context['work_program_in_change_block']['change_type']
template_context['fs_code'] = str(fs_obj.number) + ' ' + str(fs_obj.title)
template_context['academic_plan'] = ap_obj.educational_profile
template_context['semester'] = semester[0][0]
template_context['credit'] = semester[0][1]
template_context['author'] = context['authors']
template_context['description'] = context['description']
template_context['prerequisites'] = ', '.join(map(str, [i['item']['name'] for i in context['prerequisites']]))
template_context['outcomes'] = ', '.join(map(str, [i['item']['name'] for i in context['outcomes']]))
template_context['concurent'] = '-'
template_context['discipline_section'] = context['discipline_sections']
evaluation_tools, temp = [], []
for i in context['discipline_sections']:
for tool in i['evaluation_tools']:
if tool['type'] not in evaluation_tools:
evaluation_tools.append(tool['type'])
i['topics_list'] = '. '.join(map(str, set([j['description'] for j in i['topics']])))
template_context['evaluation_tools'] = evaluation_tools
template_context['bibliographic_reference'] = context['bibliographic_reference']
filename = 'Syllabus_' + str(context['title']) + str(kwargs['year']) + '.docx'
return template_context, filename
class SyllabusExportView(generics.ListAPIView):
"""Возвращает РПД в формате docx в браузере"""
queryset = WorkProgram.objects.all()
serializer = WorkProgramSerializer
permission_classes = [IsAuthenticated, ]
def get(self, request, *args, **kwargs):
tpl = DocxTemplate('/application/static-backend/export_template/Syllabus_shablon_2020_new.docx')
queryset = WorkProgram.objects.get(pk=kwargs['pk'])
serializer = WorkProgramSerializer(queryset)
data = dict(serializer.data)
context, filename = render_context_syllabus(data, field_of_study_id=kwargs['fs_id'],
academic_plan_id=kwargs['ap_id'], year=kwargs['year'])
tpl.render(context)
# tpl.save('/application/upload/'+filename) #-- сохранение в папку локально (нужно указать актуальный путь!)
response = HttpResponse(content_type='application/vnd.openxmlformats-officedocument.wordprocessingml.document')
response['Content-Disposition'] = 'inline; filename="%s"' % str(filename)
tpl.save(response)
return response
# for item in context['discipline_sections']:
# for i in item['evaluation_tools']:
# #print('ev tool', i)
# i['description'] = html2text.html2text(i['description'])
# if i not in current_evaluation_tool:
# current_evaluation_tool.append(i)
# #print(i['description'])
# k=k+1
# print('папка', k)
# #print(i['description'])
# options = {
# #'quiet': ''
# }
# html_content = """
# <!DOCTYPE html>
# <html>
# <head>
# <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
# </head>
# <body>
# {body}
# </body>
# </html>
# """.format(body = i['description'].replace(' ', ' ').replace(' ', ' ').replace(' $', ' '))
# print('ворд!!!!!!!!!!!!!!!!!!', html_content)
#html_content = str(html_content, "UTF-8")
#i['description'] = html2text.html2text(i['description'])
#i['description'] = pypandoc.convert_text(i['description'], format='html', to='docx', outputfile='/exp1.docx')
#i['description'] = pypandoc.convert_text(i['description'].replace('<tbody>', '').replace('</tbody>', '').replace('<figure>', '').replace('</figure>', ''), format='html', to='docx', outputfile=('upload/exp{i}.docx'.format(i=k)))
#i['description'] = pdfkit.from_string((i['description'].encode().decode('utf-8')), 'upload/exp{i}.pdf'.format(i=k))
# i['description'] = pdfkit.from_string(html_content, 'upload/exp{i}.pdf'.format(i=k), options=options)
#i['description'] = pdfkit.from_file('upload/new_11.html', 'upload/exp{i}.pdf'.format(i=k), options=options)
# import sys
# from PyQt4.QtCore import *
# from PyQt4.QtGui import *
# from PyQt4.QtWebKit import *
#
# app = QApplication(sys.argv)
# w = QWebView()
# w.load(html_content)
# p = Qp()
# p.setPageSize(Qp.A4)
# p.setOutputFormat(Qp.PdfFormat)
# p.setOutputFileName("sample.pdf")
#
# def convertIt():
# w.print_(p)
# QApplication.exit()
#
# QObject.connect(w, SIGNAL("loadFinished(bool)"), convertIt)
# sys.exit(app.exec_())
# print(i['description'])
# word = win32com.client.Dispatch("Word.Application")
# word.visible = 0
# # GET FILE NAME AND NORMALIZED PATH
# filename = 'upload/exp{i}.pdf'.format(i=k)
# in_file = os.path.abspath('upload/exp{i}.pdf'.format(i=k))
#
# # CONVERT PDF TO DOCX AND SAVE IT ON THE OUTPUT PATH WITH THE SAME INPUT FILE NAME
# wb = word.Documents.Open(in_file)
# out_file = os.path.abspath('upload/exp_v2{i}.docx'.format(i=k))
# wb.SaveAs2(out_file, FileFormat=16)
# wb.Close()
# # word.Quit()
# parse('upload/exp{i}.pdf'.format(i=k), 'upload/exp_v2_{i}.docx'.format(i=k), start=0, end=None)
# evaluation_tools_pdf_docs.append('upload/exp_v2_{i}.docx'.format(i=k))
# input = Document('upload/exp_v2_{i}.docx'.format(i=k))
#
# paragraphs = []
# for para in input.paragraphs:
# p = para.text
# paragraphs.append(p)
#
# i['description'] = paragraphs
# output = Document()
# for item in paragraphs:
# output.add_paragraph(item)
# output.save('OutputDoc.docx')
# cv = Converter('upload/exp{i}.pdf'.format(i=k))
# cv.convert('upload/exp_v2_{i}.docx'.format(i=k), start=0, end=None)
# cv.close()
# mydoc = docx.Document() # document type
# pdfFileObj = open('upload/exp{i}.pdf'.format(i=k), 'rb') # pdffile loction
# pdfReader = PyPDF2.PdfFileReader(pdfFileObj) # define pdf reader object
#
#
# # Loop through all the pages
#
# for pageNum in range(1, pdfReader.numPages):
# pageObj = pdfReader.getPage(pageNum)
# pdfContent = pageObj.extractText() #extracts the content from the page.
# print ('pdfContent ', pdfContent)
# print(pdfContent) # print statement to test output in the terminal. codeline optional.
# mydoc.add_paragraph(pdfContent) # this adds the content to the word document
#
# mydoc.save('upload/exp_v2{i}.docx'.format(i=k)) # Give a name to your output file.
# import os
# import subprocess
# filename = 'upload/exp{i}.pdf'.format(i=k)
# flipfilename = filename[::-1]
# ext,trash = flipfilename.split('.',1)
# if ext = 'pdf':
# abspath = os.path.join(path, filename)
# subprocess.call('lowriter --invisible --convert-to doc "{}"'
# .format(abspath), shell=True)
#print('evaluation_tools_pdf_docs', evaluation_tools_pdf_docs)
# else:
# pass
# template_context['discipline_section'] = context['discipline_sections']
# for item in context['outcomes']:
# try:
# for i in item['evaluation_tool']:
# i['description'] = html2text.html2text(i['description'])
# #current_evaluation_tool.append(i)
# if i['check_point']:
# #outcomes_evaluation_tool.append(i)
# items_max.append(i['max'])
# items_min.append(i['min'])
# except:
# continue
|
import sys
import queue
input = sys.stdin.readline
w = int(input())
h = int(input())
thing = []
start = None
rooms = []
num_rooms = 0
visited = set()
for _ in range(h):
thing.append(list(input().strip()))
for i in thing[-1]:
if i != 'O' and i != '#':
num_rooms += 1
if '1' in thing[-1]:
start = (_, thing[-1].index('1'))
q = queue.Queue()
q.put(start)
#rooms.append(1)
positions = [(1, 0), (0, 1), (-1, 0), (0, -1)]
while not q.empty():
#print(len(rooms), num_rooms)
if num_rooms <= len(rooms):
break
x, y = q.get()
for p in positions:
nx, ny = x + p[0], y + p[1]
if (nx, ny) not in visited and 0 <= ny < len(thing[0]) and 0 <= nx < len(thing) and not thing[nx][ny] == '#':
q.put((nx, ny))
visited.add((nx, ny))
if thing[nx][ny] != 'O':
rooms.append(thing[nx][ny])
if not rooms:
rooms.append('1')
print(' '.join(sorted(rooms)))
|
#!/usr/bin/env python3
"""
This example shows how to generate basic plots and manipulate them with FEA
In this case, we'll generate a 4D model and ruse FEA to find all possible
2D and 3D reduced models.
We'll then solve for the solution spaces by breaking up each solution and
finding the maximum and minimum values in a 10 step grid in each dimension.
Finally we'll generate a graph of the reduced solution showing the nodes
we discovered
Note: If you are using GLPK as your solver your results may vary. I highly
recommend using CPLEX or Gurobi if you are licensed to do so.
"""
import subprocess
import numpy as np
from optlang import *
from itertools import combinations, chain
from fea import flux_envelope_analysis as fea
from fea.plot import generate_graphviz
#### EXAMPLE PARAMETERS ####
# how many dimensions and constraints we want in our original random model
original_dims=4
original_cons=original_dims*2
# upper and lower bounds for our variable
var_limit=10
#### MODEL FORMULATION AND HELPER FUNCTIONS ####
# Generate a Random Model
np.random.seed(1)
model=Model(name='Random')
original_vars=[]
for i in range(original_dims):
original_vars.append(Variable(chr(65+i),ub=var_limit,lb=-var_limit))
model.add(original_vars)
for i in range(original_cons):
val=np.random.rand(original_dims)
val=val/np.linalg.norm(val)
cns=(np.random.random()-.5)*var_limit
if cns>0:
model.add(Constraint(np.dot(original_vars,val),ub=cns,name='C'+str(i)))
else:
model.add(Constraint(np.dot(original_vars,val),lb=cns,name='C'+str(i)))
#### SOLVE AND GRAPH ####
# Use all possible 2d and 3d combos
for combo in chain(combinations(original_vars, 2),combinations(original_vars, 3)):
# Solve FEA model (if using GLPK, expect the 3d ones to be very noisy)
reduced = fea(model, combo)
# Get graphviz format
reduced_graph = generate_graphviz(reduced)
# Generate the image from the input
proc = subprocess.Popen(["dot","-Tpng","-o",'./graph_all_reduced_solutions/'+''.join([v.name for v in combo])+'.png'], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output = proc.communicate(input=reduced_graph.encode())[0]
|
def printSubprocessStdout(message, colors=True):
if colors:
print('\033[92m' + message.decode() + '\033[0m', end='')
else:
print('Subprocess: ' + message.decode(), end='')
|
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 4 10:22:30 2019
DCE Preprocess, gets all of the inputs needed for the optimized DC_Eig_par function
INPUT:
DEM, cellsize, w,
OUTPUT:
cy
cx
cz
@author: matthewmorriss
"""
import numpy as np
def DCE_preprocess(DEM, cellsize, w):
[nrows, ncols] = np.shape(DEM)
#initiate an empty array same size as dem
rms = DEM*np.nan
# rms = np.float32(rms)
# #compute the directional cosines
[fx, fy] = np.gradient(DEM, cellsize, cellsize)
grad = np.sqrt(fx**2 + fy**2)
asp = np.arctan2(fy, fx)
grad=np.pi/2-np.arctan(grad) #normal of steepest slope
asp[asp<np.pi]=asp[asp<np.pi]+[np.pi/2]
asp[asp<0]=asp[asp<0]+[2*np.pi]
#spherical to cartesian conversion
r = 1
cy = r * np.cos(grad) * np.sin(asp)
cx = r * np.cos(grad) * np.cos(asp)
cz = r * np.sin(grad)
return(cx,cy,cz)
|
age = 56
count = 0
while count < 3:
guess_age = int(input("age:"))
if guess_age == age:
print("lucky you,you get it..")
break
elif guess_age < age:
print("think smaller....")
else:
print("think bigger....")
count +=1
else: #当while部分不成立时运行else部分，如：当guess次数超过三次就会运行
print("you have tried too many times ...")
|
# Generated by Django 2.1.7 on 2019-03-15 15:30
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('contest', '0006_auto_20190315_0024'),
]
operations = [
migrations.AddField(
model_name='submission',
name='time',
field=models.DateTimeField(default=datetime.datetime(1970, 1, 1, 0, 0)),
),
]
|
#!/usr/bin/python
import os
import fileinput
def getLocalRepo():
'''None->str
Returns the path in localRepoPath.txt, which should contain the path of the local repository
If it does not exist or file is empty, it will return an empty string
'''
fname = "localRepoPath.txt" #textfile containing path to local repo
if (os.path.isfile(fname) == False):
return ""
with open(fname) as f:
content = f.readlines() #read the file path
#if no content
if (len(content) == 0):
return ""
return content[0].strip()
def changeLocalRepo(pathName):
'''str -> None
Changes the path stored in localRepoPath to given pathName. Creates the file if dne
'''
fname = "localRepoPath.txt" #textfile containing last commit date
opened = 0
file1 = None
try:
if (os.path.isdir(pathName) == False):
print (pathName+" is not a valid directory. Please enter a valid directory")
return -1
file1 = open(fname, "w")
opened = 1
file1.write(pathName)
file1.close()
except:
print("Something went wrong with writing to localRepoPath.txt. Please ensure it is writeable and try again.")
finally:
if (opened == 1):
file1.close()
def storeSystemMatch (systemName, matchingName, inFile):
'''(str, str, str, bool) -> None
inFile is name of a file containing csv of system names and name of the file
that is a match to the system that is inside the local repository. Function sets the
systemName to the matchingName.
'''
newSystem = True
# Does a list of files, and
# redirects STDOUT to the file in question
for line in fileinput.input(inFile, inplace = 1):
#find line beginning with systemName and replace it with [systemName],[repolocation]
if (line.find(systemName) >=0):
print (line.rstrip().replace(line.strip(), systemName + "," + matchingName))
#not a new system so set it to false
newSystem = False
else:
print (line.strip())
#if this is a new system that we have not encountered before, we need to add it to our
#file
if (newSystem):
#append to end of file
with open(inFile, 'a') as f:
f.write(systemName + "," + matchingName)
|
def cross(A, B):
"""Cross product of elements in A and elements in B."""
return [r + c for r in A for c in B]
rows = "ABCDEFGHI"
cols = "123456789"
boxes = cross(rows, cols)
row_units = [cross(row, cols) for row in rows]
col_units = [cross(rows, col) for col in cols]
square_units = [cross(rs, cs) for rs in ["ABC", "DEF", "GHI"] for cs in ["123", "456", "789"]]
peer_units = row_units + col_units + square_units
units = dict((s, [u for u in peer_units if s in u]) for s in boxes)
peers = dict((s, set(sum(units[s], [])) - set([s])) for s in boxes)
left_diagonal = [row + col for i, row in enumerate(rows) for j, col in enumerate(cols) if i == j]
right_diagonal = [row + col for i, row in enumerate(rows) for j, col in enumerate(cols[::-1]) if i == j]
unitlist = row_units + col_units + square_units + [left_diagonal] + [right_diagonal]
assignments = []
def assign_value(values, box, value):
"""
Use this function to update your values dictionary!
Assigns a value to a given box. If it updates the board record it.
"""
values[box] = value
if len(value) == 1:
assignments.append(values.copy())
return values
def naked_twins(values):
"""
Eliminate values using the naked twins strategy.
Args:
values(dict): a dictionary of the form {'box_name': '123456789', ...}
Returns:
the values dictionary with the naked twins eliminated from peers.
"""
for unit in unitlist:
twins = [(box_1, box_2) for i, box_1 in enumerate(unit) for j, box_2 in enumerate(unit)
if i < j and values[box_1] == values[box_2] and len(values[box_1]) == 2]
for twin in twins:
box_1, box_2 = twin
unit_except_twin = set(unit) - {box_1} - {box_2}
for box in unit_except_twin:
# if unsolvable, stop eliminating and return
if len([box for box in values.keys() if values[box] == '']): return values
assign_value(values, box, values[box].replace(values[box_1][0], ''))
assign_value(values, box, values[box].replace(values[box_1][1], ''))
return values
def grid_values(grid):
"""
Convert grid into a dict of {square: char} with '123456789' for empties.
Args:
grid(string) - A grid in string form.
Returns:
A grid in dictionary form
Keys: The boxes, e.g., 'A1'
Values: The value in each box, e.g., '8'. If the box has no value, then the value will be '123456789'.
"""
return {boxes[i] : "123456789" if value == "." else value for i, value in enumerate(grid)}
def display(values):
"""
Display the values as a 2-D grid.
Args:
values(dict): The sudoku in dictionary form
"""
if values == False:
print("Failed! Unsolvable sudoku")
return
longest_length = max([len(values[box]) for box in values.keys()])
form_each = "| {:^" + str(longest_length) + "} "
form = form_each * 9 + "|"
print("\n")
for row in row_units:
print(form.format(*[values[box] for box in row]))
print("\n")
def eliminate(values):
# Eliminate possible values that is in the same row, column and 3 by 3 square unit.
fixed_boxes = [box for box in values if len(values[box]) == 1]
for fixed_box in fixed_boxes:
for box in peers[fixed_box]:
assign_value(values, box, values[box].replace(values[fixed_box], ''))
# Eliminate possible values that is in the same left diagonal or right diagonal.
l_diag_fixed = [box for box in fixed_boxes if box in left_diagonal]
r_diag_fixed = [box for box in fixed_boxes if box in right_diagonal]
for fixed_box in l_diag_fixed:
for box in set(left_diagonal) - {fixed_box}:
assign_value(values, box, values[box].replace(values[fixed_box], ''))
for fixed_box in r_diag_fixed:
for box in set(right_diagonal) - {fixed_box}:
assign_value(values, box, values[box].replace(values[fixed_box], ''))
return values
def only_choice(values):
"""
Select domain variable when it's impossible for all other box in the same unit to take the domain
"""
for unit in unitlist:
for digit in "123456789":
candiate = [box for box in unit if digit in values[box]]
if len(candiate) is 1:
assign_value(values, candiate[0], digit)
return values
def reduce_puzzle(values):
"""
Keep reducing until no improvement can't be made without explicitly selecting domain
"""
solved_values = [box for box in values.keys() if len(values[box]) == 1]
stalled = False
while not stalled:
solved_values_before = len([box for box in values.keys() if len(values[box]) == 1])
eliminate(values)
only_choice(values)
naked_twins(values)
solved_values_after = len([box for box in values.keys() if len(values[box]) == 1])
stalled = solved_values_before == solved_values_after
if len([box for box in values.keys() if len(values[box]) == 0]): return False
return values
def search(values):
"""
Search solution using DFS search and Contraint propagtion
"""
if reduce_puzzle(values) == False: return False
domain_counts = {box: len(values[box]) for box in values.keys() if len(values[box]) >= 2}
if domain_counts == {}: return values
preferred_box = min(domain_counts, key=domain_counts.get)
for choice in values[preferred_box]:
values_copy = values.copy()
values_copy[preferred_box] = choice
result = search(values_copy)
if result: return result
def solve(grid):
"""
Find the solution to a Sudoku grid.
Args:
grid(string): a string representing a sudoku grid.
Example: '2.............62....1....7...6..8...3...9...7...6..4...4....8....52.............3'
Returns:
The dictionary representation of the final sudoku grid. False if no solution exists.
"""
values = grid_values(grid)
return search(values)
if __name__ == '__main__':
diag_sudoku_grid = '2.............62....1....7...6..8...3...9...7...6..4...4....8....52.............3'
display(solve(diag_sudoku_grid))
try:
from visualize import visualize_assignments
visualize_assignments(assignments)
except SystemExit:
pass
except:
print('We could not visualize your board due to a pygame issue. Not a problem! It is not a requirement.')
|
import unittest
import json
import time
import tests.helpers as h
class TestCluster(unittest.TestCase):
# @h.timeout(60)
def test_cluster_query(self):
config_a = {"cluster":
{"protocols": [{"type": "nativerpc", "port": 2000}],
"useLocal": True, "tags": {"foo": "bar"}}}
config_b = {"cluster":
{"protocols": [{"type": "nativerpc", "port": 2001}],
"useLocal": True, "tags": {"foo": "bar2"}}}
with h.managed(config_a, config_b, args=["-P", "memory"]) as (a, b):
status_a = a.status()
self.assertEquals(True, status_a["ok"], status_a)
a.cluster_add_node('nativerpc://localhost:2001')
cluster_status_a = a.cluster_status()
self.assertEquals(2, len(a.cluster_status()["nodes"]),
cluster_status_a)
status_b = b.status()
self.assertEquals(True, status_b["ok"], status_b)
b.cluster_add_node('nativerpc://localhost:2000')
cluster_status_b = b.cluster_status()
self.assertEquals(2, len(b.cluster_status()["nodes"]),
cluster_status_b)
# write some data into each shard
w1 = a.write({"key": "test", "tags": {}},
{"type": "points", "data": [[1000, 1], [2000, 2]]})
#w2 = b.write({"key": "test", "tags": {}},
# {"type": "points", "data": [[3000, 3], [4000, 4]]})
self.assertEquals(200, w1.status_code)
#self.assertEquals(200, w2.status_code)
time.sleep(5)
# query for the data (without aggregation)
result = a.query_metrics(
{"query": "* from points(1000, 2000) where $key = test", "options": {"tracing": True}})
self.assertEquals(200, result.status_code)
result = result.json()
print json.dumps(result)
self.assertEquals(0, len(result['errors']))
self.assertEquals(1, len(result['result']))
values = result['result'][0]['values']
self.assertEquals(
[[1000, 1.0], [2000, 2.0], [3000, 3.0], [4000, 4.0]],
list(sorted(values)))
|
'''
Utilities functions
'''
from __future__ import unicode_literals
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import os
import os.path as osp
import utils
import argparse
import torch
import math
import numpy.linalg as linalg
import scipy.linalg
import pdb
res_dir = 'results'
data_dir = 'data'
device = 'cuda' if torch.cuda.is_available() else 'cpu'
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--max_dir', default=1, type=int, help='Max number of directions' )
parser.add_argument('--lamb_multiplier', type=float, default=1., help='Set alpha multiplier')
parser.add_argument('--experiment_type', default='syn_lamb', help='Set type of experiment, e.g. syn_dirs, syn_lamb, text_lamb, text_dirs, image_lamb, image_dirs, representing varying alpha or the number of corruption directions for the respective dataset')
parser.add_argument('--generate_data', help='Generate synthetic data to run synthetic data experiments', dest='generate_data', action='store_true')
parser.set_defaults(generate_data=False)
parser.add_argument('--fast_jl', help='Use fast method to generate approximate QUE scores', dest='fast_jl', action='store_true')
parser.set_defaults(fast_jl=False)
parser.add_argument('--fast_whiten', help='Use approximate whitening', dest='fast_whiten', action='store_true')
parser.set_defaults(fast_whiten=False)
parser.add_argument('--high_dim', help='Generate high-dimensional data, if running synthetic data experiments', dest='high_dim', action='store_true')
parser.set_defaults(high_dim=False)
opt = parser.parse_args()
if len(opt.experiment_type) > 3 and opt.experiment_type[:3] == 'syn':
opt.generate_data = True
return opt
def create_dir(path):
if not os.path.exists(path):
os.mkdir(path)
create_dir(res_dir)
'''
Get degree and coefficient for kth Chebyshev poly.
'''
def get_chebyshev_deg(k):
if k == 0:
coeff = [1]
deg = [0]
elif k == 1:
coeff = [1]
deg = [1]
elif k == 2:
coeff = [2, -1]
deg = [2, 0]
elif k == 3:
coeff = [4, -3]
deg = [3, 1]
elif k == 4:
coeff = [8, -8, 1]
deg = [4, 2, 0]
elif k == 5:
coeff = [16, -20, 5]
deg = [5, 3, 1]
elif k == 6:
coeff = [32, -48, 18, -1]
deg = [6, 4, 2, 0]
else:
raise Exception('deg {} chebyshev not supported'.format(k))
return coeff, deg
'''
Combination of JL projection and
Chebyshev expansion of the matrix exponential.
Input:
-X: data matrix, 2D tensor. X is sparse for gene data!
Returns:
-tau1: scores, 1D tensor (n,)
'''
def jl_chebyshev(X, lamb):
#print(X[:,0].mean(0))
#assert X[:,0].mean(0) < 1e-4
X = X - X.mean(0, keepdim=True)
n_data, feat_dim = X.size()
X_scaled = X/n_data
#if lamb=0 no scaling, so not to magnify bessel[i, 0] in the approximation.
scale = int(dominant_eval_cov(np.sqrt(lamb)*X)[0]) if lamb > 0 else 1
if scale > 1:
print('Scaling M! {}'.format(scale))
#scale down matrix if matrix norm >= 3, since later scale up when
#odd power
if scale%2 == 0:
scale -= 1
X_scaled /= scale
else:
scale = 1
subsample_freq = int(feat_dim/math.log(feat_dim, 2)) #100
k = math.ceil(feat_dim/subsample_freq)
X_t = X.t()
#fast Hadamard transform (ffht) vs transform by multiplication by Hadamard mx.
ffht_b = False
P, H, D = get_jl_mx(feat_dim, k, ffht_b)
I_proj = torch.eye(feat_dim, feat_dim, device=X.device)
M = D
I_proj = torch.mm(D, I_proj)
if ffht_b:
#can be obtained from https://github.com/FALCONN-LIB/FFHT
#place here so not everyone needs to install.
import ffht
M = M.t()
#M1 = np.zeros((M.size(0), M.size(1)), dtype=np.double)
M_np = M.cpu().numpy()
I_np = I_proj.cpu().numpy()
for i in range(M.size(0)):
ffht.fht(M_np[i])
for i in range(I_proj.size(0)):
ffht.fht(I_np[i])
#pdb.set_trace()
M = torch.from_numpy(M_np).to(dtype=M.dtype, device=X.device).t()
I_proj = torch.from_numpy(I_np).to(dtype=M.dtype, device=X.device)
else:
#right now form the matrix exponential here
M = torch.mm(H, M)
I_proj = torch.mm(H, I_proj)
#apply P now so downstream multiplications are faster: kd instead of d^2.
#subsample to get reduced dimension
subsample = True
if subsample:
#random sampling performs well in practice and has lower complexity
#select_idx = torch.randint(low=0, high=feat_dim, size=(feat_dim//5,)) <--this produces repeats
if device == 'cuda':
#pdb.set_trace()
select_idx = torch.cuda.LongTensor(list(range(0, feat_dim, subsample_freq)))
else:
select_idx = torch.LongTensor(list(range(0, feat_dim, subsample_freq)))
#M = torch.index_select(M, dim=0, index=select_idx)
M = M[select_idx]
#I_proj = torch.index_select(I_proj, dim=0, index=select_idx)
I_proj = I_proj[select_idx]
else:
M = torch.sparse.mm(P, M)
I_proj = torch.sparse.mm(P, I_proj)
#M is now the projection mx
A = M
for _ in range(scale):
#(k x d)
A = sketch_and_apply(lamb, X, X_scaled, A, I_proj)
#Compute tau1 scores
#M = M / M.diag().sum()
#M is (k x d)
#compute tau1 scores (this M is previous M^{1/2})
tau1 = (torch.mm(A, X_t)**2).sum(0)
return tau1
'''
-M: projection mx
-X, X_scaled, input and scaled input
Returns:
-k x d projected matrix
'''
def sketch_and_apply(lamb, X, X_scaled, M, I_proj):
X_t = X.t()
M = torch.mm(M, X_t)
M = torch.mm(M, X_scaled)
check_cov = False
if check_cov:
#sanity check, use exact cov mx
#print('Using real cov mx!')
M = cov(X)
subsample_freq = 1
feat_dim = X.size(1)
k = feat_dim
I_proj = torch.eye(k, k, device=X.device)
check_exp = False
#Sanity check, computes exact matrix expoenntial
if False:
U, D, V_t = linalg.svd(lamb*M.cpu().numpy())
pdb.set_trace()
U = torch.from_numpy(U.astype('float32')).to(device)
D_exp = torch.from_numpy(np.exp(D.astype('float32'))).to(device).diag()
m = torch.mm(U, D_exp)
m = torch.mm(m, U.t())
#tau1 = (torch.mm(M, X_t)**2).sum(0)
return m
if check_exp:
M = torch.from_numpy(scipy.linalg.expm(lamb*M.cpu().numpy())).to(device)
#pdb.set_trace()
tau1 = (torch.mm(M, X_t)**2).sum(0)
#X_m = torch.mm(X, M)
#tau1 = (X*X_m).sum(-1)
return M
## Matrix exponential appx ##
total_deg = 6
monomials = [0]*total_deg
#k x d
monomials[1] = M
#create monomimials in chebyshev poly. Start with deg 2 since already multiplied with one cov.
for i in range(2, total_deg):
monomials[i] = torch.mm(torch.mm(monomials[i-1], X_t), X_scaled)
monomials[0] = I_proj
M = 0
#M is now (k x d)
#degrees of terms in deg^th chebyshev poly
for kk in range(1, total_deg):
#coefficients and degrees for chebyshev poly. Includes 0th deg.
coeff, deg = get_chebyshev_deg(kk)
T_k = 0
for i, d in enumerate(deg):
c = coeff[i]
T_k += c*lamb**d*monomials[d]
#includes multiplication with powers of i
bessel_k = get_bessel('-i', kk)
M = M + bessel_k*T_k
#M = I_proj
#degree 0 term. M is now (k x d)
#M[:, :k] = 2*M[:, :k] + get_bessel('i', 0) * torch.eye(k, feat_dim, device=X.device) #torch.ones((k,), device=X.device).diag()
#(k x d) matrix
M = 2*M + get_bessel('i', 0) * I_proj
return M
'''
Create JL projection matrix.
Input:
-d: original dim
-k: reduced dim
'''
def get_jl_mx(d, k, ffht_b):
#M is sparse k x d matrix
P = torch.ones(k, d, device=device) #torch.sparse( )
if not ffht_b:
H = get_hadamard(d)
else:
H = None
#diagonal Rademacher mx
sign = torch.randint(low=0, high=2, size=(d,), device=device, dtype=torch.float32)
sign[sign==0] = -1
D = sign.diag()
return P, H, D
#dict of Hadamard matrices of given dimensions
H2 = {}
'''
-d: dimension of H. Power of 2.
-replace with FFT for d log(d).
'''
def get_hadamard(d):
if d in H2:
return H2[d]
if osp.exists('h{}.pt'.format(d)):
H2[d] = torch.load('h{}.pt'.format(d)).to(device)
return H2[d]
power = math.log(d, 2)
if power-round(power) != 0:
raise Exception('Dimension of Hamadard matrix must be power of 2')
power = int(power)
#M1 = torch.FloatTensor([[ ], [ ]])
M2 = torch.FloatTensor([1, 1, 1, -1])
if device == 'cuda':
M2 = M2.cuda()
i = 2
H = M2
while i <= power:
#H = torch.ger(H.view(-1), M2).view(2**i, 2**i)
H = torch.ger(M2, H.view(-1))
#reshape into 4 block matrices
H = H.view(-1, 2**(i-1), 2**(i-1))
H = torch.cat((torch.cat((H[0], H[1]), dim=1), torch.cat((H[2], H[3]), dim=1)), dim=0)
#if i == 2:
# pdb.set_trace()
i += 1
torch.save(H, 'h{}.pt'.format(d))
H2[d] = H.view(d, d) / np.sqrt(d)
return H2[d]
'''
Pad to power of 2.
Input: size 2.
'''
def pad_to_2power(X):
n_data, feat_dim = X.size(0), X.size(-1)
power = int(math.ceil(math.log(feat_dim, 2)))
power_diff = 2**power-feat_dim
if power_diff == 0:
return X
padding = torch.zeros(n_data, power_diff, dtype=X.dtype, device=X.device)
X = torch.cat((X, padding), dim=-1)
return X
'''
Find dominant eval of XX^t (and evec in the process) using the power method.
Without explicitly forming XX^t
Returns:
-dominant eval + corresponding eigenvector
'''
def dominant_eval_cov(X):
n_data = X.size(0)
X = X - X.mean(dim=0, keepdim=True)
X_t = X.t()
X_t_scaled = X_t/n_data
n_round = 5
v = torch.randn(X.size(-1), 1, device=X.device)
for _ in range(n_round):
v = torch.mm(X_t_scaled, torch.mm(X, v))
#scale each time instead of at the end to avoid overflow
#v = v / (v**2).sum().sqrt()
v = v / (v**2).sum().sqrt()
mu = torch.mm(v.t(), torch.mm(X_t_scaled, torch.mm(X, v))) / (v**2).sum()
return mu.item(), v.view(-1)
'''
dominant eval of matrix X
Returns: top eval and evec
'''
def dominant_eval(A):
'''
n_data = X.size(0)
X = X - X.mean(dim=0, keepdim=True)
X_t = X.t()
X_t_scaled = X_t/n_data
'''
n_round = 5
v = torch.randn(A.size(-1), 1, device=A.device)
for _ in range(n_round):
v = torch.mm(A, v)
#scale each time instead of at the end to avoid overflow
#v = v / (v**2).sum().sqrt()
v = v / (v**2).sum().sqrt()
mu = torch.mm(v.t(), torch.mm(A, v)) / (v**2).sum()
return mu.item(), v.view(-1)
'''
Top k eigenvalues of X_c X_c^t rather than top one.
'''
def dominant_eval_k(A, k):
evals = torch.zeros(k).to(device)
evecs = torch.zeros(k, A.size(-1)).to(device)
for i in range(k):
cur_eval, cur_evec = dominant_eval(A)
A -= (cur_evec*A).sum(-1, keepdim=True) * (cur_evec/(cur_evec**2).sum())
evals[i] = cur_eval
evecs[i] = cur_evec
return evals, evecs
'''
Top cov dir, for e.g. visualization + debugging.
'''
def get_top_evals(X, k=10):
X_cov = cov(X)
U, D, V_t = linalg.svd(X_cov.cpu().numpy())
return D[:k]
#bessel function values at i and -i, index is degree.
#sum_{j=0}^\infty ((-1)^j/(2^(2j+k) *j!*(k+j)! )) * (-i)^(2*j+k) for k=0 BesselI(0, 1)
bessel_i = [1.1266066]
bessel_neg_i = [1.266066, -0.565159j, -0.1357476, 0.0221684j, 0.00273712, -0.00027146j]
#includes multipliacation with powers of i, i**k
bessel_neg_i = [1.266066, 0.565159, 0.1357476, 0.0221684, 0.00273712, 0.00027146]
'''
Get precomputed deg^th Bessel function value at input arg.
'''
def get_bessel(arg, deg):
if arg == 'i':
if deg > len(bessel_i):
raise Exception('Bessel i not computed for deg {}'.format(deg))
return bessel_i[deg]
elif arg == '-i':
if deg > len(bessel_neg_i):
raise Exception('Bessel -i not computed for deg {}'.format(deg))
return bessel_neg_i[deg]
'''
Projection (vector) of dirs onto target direction.
'''
def project_onto(tgt, dirs):
projection = (tgt*dirs).sum(-1, keepdims=True) * (tgt/(tgt**2).sum())
return projection
'''
Plot
legends: last field of which correponds to hue, and dictates which kind of plot, eg lambda or p
'''
#def plot_acc(acc_l, k_l, p_l, tau_l, opt):
def plot_acc(k_l, acc_l, tau_l, p_l, legends, opt):
import seaborn as sns
opt.lamb = round(opt.lamb, 2)
df = create_df(k_l, acc_l, tau_l, p_l, legends)
#fig = sns.scatterplot(x='k', y='acc', style='tau', hue='p', data=df)
fig = sns.scatterplot(x=legends[0], y=legends[1], style=legends[2], hue=legends[3], data=df)
fig.set(ylim=(0, 1.05))
fig.set_title('acc vs k. n_iter {} remove_fac {} p {} on dataset {} tau0: {}'.format(opt.n_iter, opt.remove_factor, opt.p, opt.dataset_name, opt.baseline))
fig_path = osp.join(utils.res_dir, 'plot{}{}_{}_{}_{}{}iter{}{}{}.jpg'.format('N{}_noise'.format(opt.noise_norm_div),opt.feat_dim, opt.n_dir, opt.norm_scale, legends[-1], opt.p, opt.n_iter, opt.dataset_name, opt.baseline))
fig.figure.savefig(fig_path)
print('figure saved under {}'.format(fig_path))
'''
Plot wrt lambda
'''
def plot_acc_syn_lamb(p_l, acc_l, tau_l, legends, opt):
import seaborn as sns
opt.lamb = round(opt.lamb, 2)
df = pd.DataFrame({legends[0]:p_l, legends[1]:acc_l, legends[2]:tau_l})
#df = create_df(p_l, acc_l, tau_l, legends)
#fig = sns.scatterplot(x='k', y='acc', style='tau', hue='p', data=df)
fig = sns.scatterplot(x=legends[0], y=legends[1], style=legends[2], data=df)
fig.set(ylim=(0, 1.05))
fig.set_title('acc vs k. n_iter {} remove_fac {} p {} on dataset {} tau0: {}'.format(opt.n_iter, opt.remove_factor, opt.p, opt.dataset_name, opt.baseline))
fig_path = osp.join(utils.res_dir, 'syn', 'lamb_{}_{}_{}_{}{}iter{}{}{}.jpg'.format(opt.feat_dim, opt.n_dir, opt.norm_scale, legends[-1], opt.p, opt.n_iter, opt.dataset_name, opt.baseline))
fig.figure.savefig(fig_path)
print('figure saved under {}'.format(fig_path))
'''
Scatter plot of input X, e.g. for varying lambda
Input:
-standard deviation: standard deviation around each point.
'''
def plot_scatter(X, Y, legends, opt, std=None):
import seaborn as sns
df = pd.DataFrame({legends[0]:X, legends[1]:Y})
fig = sns.scatterplot(x=legends[0], y=legends[1], data=df, label=(legends[1]))
#fig = sns.scatterplot(x=legends[0], y=legends[1], style=legends[2], hue=legends[3], data=df)
fig.set(ylim=(0, 1.05))
plt.grid(True)
#fig.set(ylim=(0, max(Y)+.1))
#fig.set_title('acc vs k. n_iter {} remove_fac {} p {} noise_norm_div {} on dataset {} tau0: {}'.format(opt.n_iter, opt.remove_factor, opt.p, opt.noise_norm_div, opt.dataset_name, opt.baseline))
fig.set_title('Recall scores as a function of varying {} for text {}'.format(legends[0], opt.text_name))
fig_path = osp.join(utils.res_dir, 'text', '{}_{}_{}1.jpg'.format(legends[0], legends[1], opt.text_name))
fig.figure.savefig(fig_path)
print('figure saved under {}'.format(fig_path))
'''
Plot flexible number of variables.
Useful for e.g. plotting wrt baselines.
Input:
-data_l: 0th entry is the x axis.
Inputs are np arrays
-legend_l has len one less than data_l
-name: extra appendix to file name.
'''
def plot_scatter_flex(data_ar, legend_l, opt, std_ar=None, name=''):
plt.clf()
m = {}
markers = ['^', 'o', 'x', '.', '1', '3', '+', '4', '5']
'''
legends = []
for i, data in data_l:
m[legend_l[i]] = data
'''
for i in range(1, len(data_ar)):
#plt.scatter(data_ar[0], data_ar[i], marker=markers[i-1], label=legend_l[i-1])
cur_legend = get_label_name(legend_l[i-1])
plt.errorbar(data_ar[0], data_ar[i], yerr=std_ar[i], marker=markers[i-1], label=cur_legend)
label_name = get_label_name(name) #'naive spectral' if name == 'tau0' else name
#fig.set(ylim=(0, 1.05))
plt.grid(True)
plt.legend()
if opt.type == 'lamb':
plt.xlabel('Alpha')
plt.ylabel('ROCAUC(QUE) - ROCAUC{}'.format(label_name))
plt.title('ROCAUC(QUE) improvement over ROCAUC({})'.format(label_name))
else:
x_label = get_label_name(opt.type)
plt.xlabel(x_label)
plt.ylabel('ROCAUC')
plt.title('ROCAUC of QUE vs baseline methods')
#fig.set_title('acc vs k. n_iter {} remove_fac {} p {} noise_norm_div {} on dataset {} tau0: {}'.format(opt.n_iter, opt.remove_factor, opt.p, opt.noise_norm_div, opt.dataset_name, opt.baseline))
fname_append = ''
if not opt.whiten:
fname_append += '_nw'
if opt.fast_whiten:
fname_append += '_fw'
if opt.fast_jl:
fname_append += '_fast'
#if opt.fast_jl:
# fig_path = osp.join(utils.res_dir, opt.dir, 'baselines_{}{}_fast.jpg'.format(opt.type, name))
#else:
create_dir(osp.join(utils.res_dir, opt.dir))
fig_path = osp.join(utils.res_dir, opt.dir, 'baselines_{}{}{}.jpg'.format(opt.type, name, fname_append))
plt.savefig(fig_path)
print('figure saved under {}'.format(fig_path))
'''
Get label name to be used on plots.
'''
def get_label_name(name):
name2label = {'tau0':'naive spectral', 'tau1':'QUE', 'lamb':'Alpha',
'dirs':'number of directions (k)'}
try:
return name2label[name]
except KeyError:
return name
'''
Computes average probability of outlier scores higher than inlier scores.
Input:
-inlier+outlier scores, 1D tensors
'''
def auc(inlier_scores, outlier_scores0):
n_inliers, n_outliers = len(inlier_scores), len(outlier_scores0)
if False and n_inliers + n_outliers > 150000:
inlier_scores = inlier_scores.to('cpu')
outlier_scores = outlier_scores0.to('cpu')
prob_l = []
chunk_sz = 500
for i in range(0, n_outliers, chunk_sz):
start = i
end = min(n_outliers, i+chunk_sz)
cur_n = end - start
outlier_scores = outlier_scores0[start:end]
#average probabilities of inliers scores lower than outlier scores.
outlier_scores_exp = outlier_scores.unsqueeze(-1).expand(-1, n_inliers)
inlier_scores_exp = inlier_scores.unsqueeze(0).expand(cur_n, -1)
zeros = torch.zeros(cur_n, n_inliers).to(device)
zeros[outlier_scores_exp > inlier_scores_exp] = 1
prob = (zeros.sum(-1) / n_inliers).mean().item()
prob_l.append(prob)
return np.mean(prob_l)
'''
Plot histogram of tensors
Input:
-data
-keyword to be used in file
'''
def hist(X, name, high=10):
X = X.cpu().numpy()
plt.hist(X, 50, label=str(name))
plt.xlabel('projection')
plt.ylabel('count')
plt.title('projections of {} onto top covariance dir'.format(name))
#plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
plt.axis([X.min(), X.max(), 0, high])
plt.grid(True)
fig_path = osp.join(utils.res_dir, 'eval_proj_{}.jpg'.format(name))
plt.savefig(fig_path)
print('figure saved under {}'.format(fig_path))
'''
Inliers and outliers histograms.
Input:
-X/Y: inliers/outliers score (or other measurement) distributions according to some score
-
'''
def inlier_outlier_hist(X, Y, score_name, high=50):
#X, Y
X = X.cpu().numpy()
Y = Y.cpu().numpy()
n_bins_x = 50
n_bins_y = max(1, int(n_bins_x * (Y.max()-Y.min()) / (X.max()-X.min())))
plt.hist(X, n_bins_x, label='inliers')
plt.hist(Y, n_bins_y, label='outliers')
plt.xlabel('knn distance')
plt.ylabel('sample count')
label_name = get_label_name(score_name)
plt.title('Distance to k-nearest neighbors'.format(label_name))
#plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
plt.legend()
#plt.axis([min(X.min(), Y.min()), max(X.max(), Y.max()), 0, high])
plt.axis([min(X.min(), Y.min()), 30, 0, high]) #for ads,high y 300
#plt.axis([min(X.min(), Y.min()), 3, 0, high]) #syn high x 3
plt.grid(True)
fig_path = osp.join(utils.res_dir, 'knn_inout_{}.jpg'.format(score_name))
plt.savefig(fig_path)
print('figure saved under {}'.format(fig_path))
'''
k is number of dirs
p_mx is percentage of all noise combined.
legends: array of strings of legends, eg ['a', 'b', 'c', 'd']
'''
def create_df(k_l, acc_l, tau_l, p_l, legends):
#return pd.DataFrame({'acc':acc_l, 'k':k_l, 'tau':tau_l, 'p':p_l})
return pd.DataFrame({legends[0]:k_l, legends[1]:acc_l, legends[2]:tau_l, legends[3]:p_l})
'''
Take inner product of rows in one with rows in another.
Input:
-2D tensors
'''
def inner(mx1, mx2):
return (mx1 * mx2).sum(dim=1)
'''
Inner product matrix of all pairwise rows and columns
'''
def inner_mx(mx1, mx2):
return torch.mm(mx1 * mx2.t())
'''
Input: lines is list of objects, not newline-terminated yet.
'''
def write_lines(lines, path, mode='w'):
lines1 = []
for line in lines:
lines1.append(str(line) + os.linesep)
with open(path, mode) as file:
file.writelines(lines1)
def read_lines(path):
with open(path, 'r') as file:
return file.readlines()
'''
Input:
-X: shape (n_sample, n_feat)
'''
def cov(X):
#X_mean = X.mean()
X = X - X.mean(dim=0, keepdim=True)
cov = torch.mm(X.t(), X) / X.size(0)
return cov
########################
def create_df_(acc_mx, probe_mx, height, k, opt):
#construct probe_count, acc, and dist_count
#total number of points we compute distances to dist_count_l = []
acc_l = []
probe_l = []
counter = 0
n_clusters_ar = [2**(i+1) for i in range(20)]
#i indicates n_clusters
for i, acc_ar in enumerate(acc_mx):
n_clusters = n_clusters_ar[i]
#j is n_bins
for j, acc in enumerate(acc_ar):
probe_count = probe_mx[i][j]
if not opt.glove and not opt.sift:
if height == 1 and probe_count > 2000:
continue
elif probe_count > 3000:
continue
# \sum_u^h n_bins^u * n_clusters * k
exp = np.array([l for l in range(height)])
dist_count = np.sum(k * n_clusters * j**exp)
if not opt.glove and not opt.sift:
if dist_count > 50000:
continue
dist_count_l.append(dist_count)
acc_l.append(acc)
#probe_l.append(probe_count)
probe_l.append(probe_count + dist_count)
counter += 1
df = pd.DataFrame({'probe_count':probe_l, 'acc':acc_l, 'dist_count':dist_count_l})
return df
def plot_acc_():
import seaborn as sns
df_l = []
height_df_l = []
for i, acc_mx in enumerate(acc_mx_l):
probe_mx = probe_mx_l[i]
height = height_l[i]
df = create_df(acc_mx, probe_mx, height, k, opt)
df_l.append(df)
height_df_l.extend([height] * len(df))
method, max_loyd = json_data['km_method'], json_data['max_loyd']
df = pd.concat(df_l, axis=0, ignore_index=True)
height_df = pd.DataFrame({'height': height_df_l})
df = pd.concat([df, height_df], axis=1)
fig = sns.scatterplot(x='probe_count', y='acc', hue='height', data=df)
fig.set_title('')
fig_path = osp.join(' ', ' ')
fig.figure.savefig(fig_path)
def np_save(obj, path):
with open(path, 'wb') as f:
np.save(f, obj)
print('saved under {}'.format(path))
'''
Memory-compatible.
Ranks of closest points not self.
Uses l2 dist. But uses cosine dist if data normalized.
Input:
-data: tensors
-specify k if only interested in the top k results.
-largest: whether pick largest when ranking.
-include_self: include the point itself in the final ranking.
'''
def dist_rank(data_x, k, data_y=None, largest=False, opt=None, include_self=False):
if isinstance(data_x, np.ndarray):
data_x = torch.from_numpy(data_x)
if data_y is None:
data_y = data_x
else:
if isinstance(data_y, np.ndarray):
data_y = torch.from_numpy(data_y)
k0 = k
device_o = data_x.device
data_x = data_x.to(device)
data_y = data_y.to(device)
(data_x_len, dim) = data_x.size()
data_y_len = data_y.size(0)
#break into chunks. 5e6 is total for MNIST point size
#chunk_sz = int(5e6 // data_y_len)
chunk_sz = 16384
chunk_sz = 500 #700 mem error. 1 mil points
if data_y_len > 990000:
chunk_sz = 600 #1000 if over 1.1 mil
#chunk_sz = 500 #1000 if over 1.1 mil
else:
chunk_sz = 3000
if k+1 > len(data_y):
k = len(data_y) - 1
#if opt is not None and opt.sift:
if device == 'cuda':
dist_mx = torch.cuda.LongTensor(data_x_len, k+1)
act_dist = torch.cuda.FloatTensor(data_x_len, k+1)
else:
dist_mx = torch.LongTensor(data_x_len, k+1)
act_dist = torch.cuda.FloatTensor(data_x_len, k+1)
data_normalized = True if opt is not None and opt.normalize_data else False
largest = True if largest else (True if data_normalized else False)
#compute l2 dist <--be memory efficient by blocking
total_chunks = int((data_x_len-1) // chunk_sz) + 1
y_t = data_y.t()
if not data_normalized:
y_norm = (data_y**2).sum(-1).view(1, -1)
for i in range(total_chunks):
base = i*chunk_sz
upto = min((i+1)*chunk_sz, data_x_len)
cur_len = upto-base
x = data_x[base : upto]
if not data_normalized:
x_norm = (x**2).sum(-1).view(-1, 1)
#plus op broadcasts
dist = x_norm + y_norm
dist -= 2*torch.mm(x, y_t)
else:
dist = -torch.mm(x, y_t)
topk_d, topk = torch.topk(dist, k=k+1, dim=1, largest=largest)
dist_mx[base:upto, :k+1] = topk #torch.topk(dist, k=k+1, dim=1, largest=largest)[1][:, 1:]
act_dist[base:upto, :k+1] = topk_d #torch.topk(dist, k=k+1, dim=1, largest=largest)[1][:, 1:]
topk = dist_mx
if k > 3 and opt is not None and opt.sift:
#topk = dist_mx
#sift contains duplicate points, don't run this in general.
identity_ranks = torch.LongTensor(range(len(topk))).to(topk.device)
topk_0 = topk[:, 0]
topk_1 = topk[:, 1]
topk_2 = topk[:, 2]
topk_3 = topk[:, 3]
id_idx1 = topk_1 == identity_ranks
id_idx2 = topk_2 == identity_ranks
id_idx3 = topk_3 == identity_ranks
if torch.sum(id_idx1).item() > 0:
topk[id_idx1, 1] = topk_0[id_idx1]
if torch.sum(id_idx2).item() > 0:
topk[id_idx2, 2] = topk_0[id_idx2]
if torch.sum(id_idx3).item() > 0:
topk[id_idx3, 3] = topk_0[id_idx3]
if not include_self:
topk = topk[:, 1:]
act_dist = act_dist[:, 1:]
elif topk.size(-1) > k0:
topk = topk[:, :-1]
topk = topk.to(device_o)
return act_dist, topk
class tokenizer:
"""
Rudimentary tokenizer for when allennlp is unavailable.
"""
def __init__(self):
import re
self.patt = re.compile('[ ;,.?!`\'":|\s~%&*()#$@+-=]')
def batch_tokenize(self, sent_l):
sent_l2 = []
for sent in sent_l:
sent_l2.append(self.patt.split(sent))
return sent_l2
class stop_word_filter:
def filter_words(self, tok_l):
"""
Input: tok_l: list of tokens
"""
tok_l2 = []
for tok in tok_l:
if tok not in STOP_WORDS:
tok_l2.append(tok)
return tok_l2
## This below is due to the authors of spacy, reproduced here as some users have ##
## reported difficulties installing the language packages required for processig text ##
# Stop words
STOP_WORDS = set(
"""
a about above across after afterwards again against all almost alone along
already also although always am among amongst amount an and another any anyhow
anyone anything anyway anywhere are around as at
back be became because become becomes becoming been before beforehand behind
being below beside besides between beyond both bottom but by
call can cannot ca could
did do does doing done down due during
each eight either eleven else elsewhere empty enough even ever every
everyone everything everywhere except
few fifteen fifty first five for former formerly forty four from front full
further
get give go
had has have he hence her here hereafter hereby herein hereupon hers herself
him himself his how however hundred
i if in indeed into is it its itself
keep
last latter latterly least less
just
made make many may me meanwhile might mine more moreover most mostly move much
must my myself
name namely neither never nevertheless next nine no nobody none noone nor not
nothing now nowhere
of off often on once one only onto or other others otherwise our ours ourselves
out over own
part per perhaps please put
quite
rather re really regarding
same say see seem seemed seeming seems serious several she should show side
since six sixty so some somehow someone something sometime sometimes somewhere
still such
take ten than that the their them themselves then thence there thereafter
thereby therefore therein thereupon these they third this those though three
through throughout thru thus to together too top toward towards twelve twenty
two
under until up unless upon us used using
various very very via was we well were what whatever when whence whenever where
whereafter whereas whereby wherein whereupon wherever whether which while
whither who whoever whole whom whose why will with within without would
yet you your yours yourself yourselves
""".split()
)
contractions = ["n't", "'d", "'ll", "'m", "'re", "'s", "'ve"]
STOP_WORDS.update(contractions)
for apostrophe in ["‘", "’"]:
for stopword in contractions:
STOP_WORDS.add(stopword.replace("'", apostrophe))
|
fiboSeq =[]
a,b = 7,8
counter =1
print str(counter) + " " +str(a)
print str(counter) + " " +str(b)
while (counter<11):
fiboSeq.append(a)
a,b=b,a+b
print str(counter) + " " + str(b)
counter += 1
print fiboSeq
'''
1. Choose two smallish numbers (less than 10)
2. Add the two numbers and write the results on the third line
3. Add the second and third line to make the fourth
4. Repeat until you have ten lines
5. Take the 7th number and multiply it by 11
'''
|
from spack import *
class Qgraf(Package):
"""FIXME: Put a proper description of your package here."""
homepage = "http://www.example.com"
url = "https://gosam.hepforge.org/gosam-installer/qgraf-3.1.4.tgz"
version('3.1.4', sha256='b6f827a654124b368ea17cd391a78a49cda70e192e1c1c22e8e83142b07809dd')
def install(self, spec, prefix):
FC=which(spack_f77)
FC('qgraf-3.1.4.f','-o','qgraf','-O2')
mkdirp(prefix.bin)
install('qgraf', prefix.bin)
|
#!/usr/bin/env python
from __future__ import division
from dateutil.parser import parse
from copy import copy
import os
import csv
import random
import numpy as np
import pandas as pd
from sklearn import svm
from sklearn import tree
from sklearn.metrics import classification_report
#class GenFeature:
# def __init__(self):
# self._user_feature_dict = {}
# self._event_feature_dict = {}
# self._user_event_feature_dict = {}
#
# def gen_user_feature(self):
#
#
def isNotNull(string):
return string is not None and len(str(string)) > 0
def main():
data_path = '../'
train_file = data_path + 'train.csv'
event_file = data_path + 'events_valid.csv'
user_file = data_path + 'users.csv'
attend_file = data_path + 'event_attendees_stat.csv'
user_like_cnt_file = data_path + 'user_like_cnt_p'
user_friends_file = data_path + 'user_friends.csv'
event_attend_file = data_path + 'event_attendees.csv'
train = pd.read_csv(train_file, converters={"timestamp":parse})
events = pd.read_csv(event_file, converters={'start_time':parse})
users = pd.read_csv(user_file)
pop = pd.read_csv(attend_file)
#user_like_cnt = pd.read_csv(user_like_cnt_file)
user_friends = pd.read_csv(user_friends_file)
event_attend = pd.read_csv(event_attend_file)
#userinfo and user like cnt
#cnt_user = pd.merge(users, user_like_cnt, on='user_id')
#training user info
train_user = pd.merge(train, users, left_on='user', right_on='user_id')
tue = pd.merge(train_user, events, left_on='event', right_on='event_id')
tue_pop = pd.merge(tue, pop, left_on='event', right_on='event')
#time_diff, in unit of hours
tue_pop['time_diff']=0
#location of user and event, using simple string contain match
tue_pop['loc_match']=0
tue_pop['class'] = tue_pop['interested']
tue_pop['start_hour']=0
tue_pop['friends_yes']=0
#building dicts of user_friends and event_attends
#in order for fast proceccing in the following for loop
user_friend_dict = {}
event_attend_dict = {}
ufd_fname = 'user_friend_dict.txt'
ead_fname = 'event_attend_dict.txt'
#if os.path.isfile(ufd_fname):
# user_friend_dict = eval(open(ufd_fname,'r').read())
# event_attend_dict = eval(open(ead_fname,'r').read())
#else:
for row_index, row in user_friends.iterrows():
uid = int(row['user'])
user_friend_dict[uid]=[]
if isNotNull(row['friends']):
frds = str(row['friends']).split()
user_friend_dict[uid]=frds
for row_index, row in event_attend.iterrows():
eid = int(row['event'])
event_attend_dict[eid]=[]
if isNotNull(row['yes']):
atds = str(row['yes']).split()
event_attend_dict[eid]=atds
#ufd_file = open(ufd_fname,'w')
#ufd_file.write(str(user_friend_dict))
#ead_file = open(ead_fname,'w')
#ead_file.write(str(event_attend_dict))
for row_index, row in tue_pop.iterrows():
#list of friends of the user
#friends = user_friends.select(lambda i: user_friends.irow(i)['user']==row['user'])['friends'].str.split().values[0]
#list of attendees of the event
#attends = event_attend.select(lambda i: event_attend.irow(i)['event']==row['event'])['yes'].str.split().values[0]
#number of friends who attend this event
uid = int(row['user'])
eid = int(row['event'])
tue_pop['friends_yes'][row_index]=len([w for w in user_friend_dict[uid] if w in event_attend_dict[eid]])
if row['birthyear'].isdigit():
tue_pop['birthyear'][row_index] = 2012-int(row['birthyear'])
else:
tue_pop['birthyear'][row_index] = 0
if row['gender'] == 'male':
tue_pop['gender'][row_index] = 1
else:
tue_pop['gender'][row_index] = 0
tue_pop['start_hour'][row_index] = row['start_time'].hour
diff = row['start_time']-row['timestamp']
tue_pop['time_diff'][row_index]=int(diff.total_seconds()/3600)
if isNotNull(row['location']) and isNotNull(row['city']) and str(row['city']) in str(row['location']):
tue_pop['loc_match'][row_index] = 1
tue_pop[['user','event','invited_x','interested','not_interested','birthyear','gender','friends_yes','start_hour','time_diff','loc_match','yes','maybe','invited_y','no','c_1','c_2','c_3','c_4','c_5','c_6','c_7','c_8','c_9','c_10','c_11','c_12','c_13','c_14','c_15','c_16','c_17','c_18','c_19','c_20','c_21','c_22','c_23','c_24','c_25','c_26','c_27','c_28','c_29','c_30','c_31','c_32','c_33','c_34','c_35','c_36','c_37','c_38','c_39','c_40','c_41','c_42','c_43','c_44','c_45','c_46','c_47','c_48','c_49','c_50','c_51','c_52','c_53','c_54','c_55','c_56','c_57','c_58','c_59','c_60','c_61','c_62','c_63','c_64','c_65','c_66','c_67','c_68','c_69','c_70','c_71','c_72','c_73','c_74','c_75','c_76','c_77','c_78','c_79','c_80','c_81','c_82','c_83','c_84','c_85','c_86','c_87','c_88','c_89','c_90','c_91','c_92','c_93','c_94','c_95','c_96','c_97','c_98','c_99','c_100','c_other']].to_csv('train_all.csv', index=False)
select = tue_pop[['invited_x','birthyear','gender','friends_yes','start_hour','time_diff','loc_match','yes','maybe','invited_y','no','c_1','c_2','c_3','c_4','c_5','c_6','c_7','c_8','c_9','c_10','c_11','c_12','c_13','c_14','c_15','c_16','c_17','c_18','c_19','c_20','c_21','c_22','c_23','c_24','c_25','c_26','c_27','c_28','c_29','c_30','c_31','c_32','c_33','c_34','c_35','c_36','c_37','c_38','c_39','c_40','c_41','c_42','c_43','c_44','c_45','c_46','c_47','c_48','c_49','c_50','c_51','c_52','c_53','c_54','c_55','c_56','c_57','c_58','c_59','c_60','c_61','c_62','c_63','c_64','c_65','c_66','c_67','c_68','c_69','c_70','c_71','c_72','c_73','c_74','c_75','c_76','c_77','c_78','c_79','c_80','c_81','c_82','c_83','c_84','c_85','c_86','c_87','c_88','c_89','c_90','c_91','c_92','c_93','c_94','c_95','c_96','c_97','c_98','c_99','c_100','c_other','class']]
for col in select.columns:
select[col]=select[col].astype(np.float64)
select[col]=select[col]/max(select[col])
#clf = svm.SVC(gamma=0.001, C=100.)
clf = tree.DecisionTreeClassifier()
clf.fit(select.values[:,:-1], select.values[:,-1])
pred = clf.predict(select.values[:,:-1])
target_names = ['class 0', 'class 1']
result = classification_report(select.values[:,-1], pred, target_names)
print result
#select.to_csv('train_feature.csv', index=False)
if __name__=="__main__":
main()
|
from django.db import models
from django.contrib.auth.models import User
class Client(models.Model):
"""fishgirl's clients"""
client_name=models.CharField("Nome", max_length=200, unique=True)
client_address=models.CharField("Endereço", max_length=200)
client_contact=models.CharField("Contacto", max_length=200)
client_email=models.EmailField("Email", max_length=200, null=True)
client_note=models.CharField("Observações", max_length=200)
client_date_added=models.DateTimeField("Data Adicionado", auto_now_add=True)
owner=models.ForeignKey(User, on_delete=models.PROTECT)
def __str__(self):
return self.client_name
class Family(models.Model):
family_name=models.CharField("Família", max_length=200, unique=True)
owner=models.ForeignKey(User, on_delete=models.PROTECT)
class Meta:
verbose_name_plural='Families'
def __str__(self):
return self.family_name
class Product(models.Model):
"""fishgirl's products"""
product_name=models.CharField("Nome", max_length=200, unique=True)
product_family=models.ForeignKey(Family, on_delete=models.PROTECT, verbose_name="Família")
product_note=models.CharField("Observações", max_length=200)
product_date_added=models.DateTimeField("Data Adicionado", auto_now_add=True)
def __str__(self):
return self.product_name
class Meta:
ordering = ['product_name']
class Sale(models.Model):
"""fishgirl's sales"""
id=models.AutoField(primary_key=True)
sale_date=models.DateTimeField("Data da Venda", auto_now_add=True)
client=models.ForeignKey(Client, on_delete=models.PROTECT, verbose_name="Clientes")
sale_note=models.CharField("Observações", max_length=200, null=True)
sale_total=models.DecimalField(max_digits=10,decimal_places=3)
def __str__(self):
return "Venda a "+str(self.client)+" - "+str(self.sale_date)[:10]
class Movement(models.Model):
id=models.AutoField(primary_key=True)
sale=models.ForeignKey(Sale, on_delete=models.CASCADE, verbose_name="Venda")
movement_product=models.ForeignKey(Product, on_delete=models.PROTECT, verbose_name="Produto")
movement_quantity=models.DecimalField("Quantidade", max_digits=7,decimal_places=3)
movement_purchase_price=models.DecimalField("Preço de Custo", max_digits=7,decimal_places=3, null=True, help_text="'0' para ignorar.")
movement_selling_price=models.DecimalField("Preço de Venda", max_digits=7,decimal_places=3)
def __str__(self):
return f"{self.movement_quantity}kg de {self.movement_product}"
|
# -*- coding: utf-8 -*-
# vi:tabstop=4:expandtab:sw=4
"""Transliterate Unicode text into plain 7-bit ASCII.
Example usage:
>>> from unidecode import unidecode:
>>> unidecode(u"\u5317\u4EB0")
"Bei Jing "
The transliteration uses a straightforward map, and doesn't have alternatives
for the same character based on language, position, or anything else.
In Python 3, a standard string object will be returned. If you need bytes, use:
>>> unidecode("Κνωσός").encode("ascii")
b'Knosos'
"""
import warnings
from sys import version_info
Cache = {}
def _warn_if_not_unicode(string):
if version_info[0] < 3 and not isinstance(string, unicode):
warnings.warn( "Argument %r is not an unicode object. "
"Passing an encoded string will likely have "
"unexpected results." % (type(string),),
RuntimeWarning, 2)
def unidecode_expect_ascii(string):
"""Transliterate an Unicode object into an ASCII string
>>> unidecode(u"\u5317\u4EB0")
"Bei Jing "
This function first tries to convert the string using ASCII codec.
If it fails (because of non-ASCII characters), it falls back to
transliteration using the character tables.
This is approx. five times faster if the string only contains ASCII
characters, but slightly slower than using unidecode directly if non-ASCII
chars are present.
"""
_warn_if_not_unicode(string)
try:
bytestring = string.encode('ASCII')
except UnicodeEncodeError:
return _unidecode(string)
if version_info[0] >= 3:
return string
else:
return bytestring
def unidecode_expect_nonascii(string):
"""Transliterate an Unicode object into an ASCII string
>>> unidecode(u"\u5317\u4EB0")
"Bei Jing "
"""
_warn_if_not_unicode(string)
return _unidecode(string)
unidecode = unidecode_expect_ascii
def _unidecode(string):
retval = []
for char in string:
codepoint = ord(char)
if codepoint < 0x80: # Basic ASCII
retval.append(str(char))
continue
if codepoint > 0xeffff:
continue # Characters in Private Use Area and above are ignored
if 0xd800 <= codepoint <= 0xdfff:
warnings.warn( "Surrogate character %r will be ignored. "
"You might be using a narrow Python build." % (char,),
RuntimeWarning, 2)
section = codepoint >> 8 # Chop off the last two hex digits
position = codepoint % 256 # Last two hex digits
try:
table = Cache[section]
except KeyError:
try:
mod = eval('x%03x'%(section))
except NameError:
mod = None
Cache[section] = table = mod
if table and len(table) > position:
retval.append( table[position] )
return ''.join(retval)
x000 = (
# Code points u+007f and below are equivalent to ASCII and are handled by a
# special case in the code. Hence they are not present in this table.
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
' ', # 0xa0
'!', # 0xa1
'C/', # 0xa2
# Not "GBP" - Pound Sign is used for more than just British Pounds.
'PS', # 0xa3
'$?', # 0xa4
'Y=', # 0xa5
'|', # 0xa6
'SS', # 0xa7
'"', # 0xa8
'(c)', # 0xa9
'a', # 0xaa
'<<', # 0xab
'!', # 0xac
'', # 0xad
'(r)', # 0xae
'-', # 0xaf
'deg', # 0xb0
'+-', # 0xb1
# These might be combined with other superscript digits (u+2070 - u+2079)
'2', # 0xb2
'3', # 0xb3
'\'', # 0xb4
'u', # 0xb5
'P', # 0xb6
'*', # 0xb7
',', # 0xb8
'1', # 0xb9
'o', # 0xba
'>>', # 0xbb
'1/4', # 0xbc
'1/2', # 0xbd
'3/4', # 0xbe
'?', # 0xbf
'A', # 0xc0
'A', # 0xc1
'A', # 0xc2
'A', # 0xc3
# Not "AE" - used in languages other than German
'A', # 0xc4
'A', # 0xc5
'AE', # 0xc6
'C', # 0xc7
'E', # 0xc8
'E', # 0xc9
'E', # 0xca
'E', # 0xcb
'I', # 0xcc
'I', # 0xcd
'I', # 0xce
'I', # 0xcf
'D', # 0xd0
'N', # 0xd1
'O', # 0xd2
'O', # 0xd3
'O', # 0xd4
'O', # 0xd5
# Not "OE" - used in languages other than German
'O', # 0xd6
'x', # 0xd7
'O', # 0xd8
'U', # 0xd9
'U', # 0xda
'U', # 0xdb
# Not "UE" - used in languages other than German
'U', # 0xdc
'Y', # 0xdd
'Th', # 0xde
'ss', # 0xdf
'a', # 0xe0
'a', # 0xe1
'a', # 0xe2
'a', # 0xe3
# Not "ae" - used in languages other than German
'a', # 0xe4
'a', # 0xe5
'ae', # 0xe6
'c', # 0xe7
'e', # 0xe8
'e', # 0xe9
'e', # 0xea
'e', # 0xeb
'i', # 0xec
'i', # 0xed
'i', # 0xee
'i', # 0xef
'd', # 0xf0
'n', # 0xf1
'o', # 0xf2
'o', # 0xf3
'o', # 0xf4
'o', # 0xf5
# Not "oe" - used in languages other than German
'o', # 0xf6
'/', # 0xf7
'o', # 0xf8
'u', # 0xf9
'u', # 0xfa
'u', # 0xfb
# Not "ue" - used in languages other than German
'u', # 0xfc
'y', # 0xfd
'th', # 0xfe
'y', # 0xff
)
x001 = (
'A', # 0x00
'a', # 0x01
'A', # 0x02
'a', # 0x03
'A', # 0x04
'a', # 0x05
'C', # 0x06
'c', # 0x07
'C', # 0x08
'c', # 0x09
'C', # 0x0a
'c', # 0x0b
'C', # 0x0c
'c', # 0x0d
'D', # 0x0e
'd', # 0x0f
'D', # 0x10
'd', # 0x11
'E', # 0x12
'e', # 0x13
'E', # 0x14
'e', # 0x15
'E', # 0x16
'e', # 0x17
'E', # 0x18
'e', # 0x19
'E', # 0x1a
'e', # 0x1b
'G', # 0x1c
'g', # 0x1d
'G', # 0x1e
'g', # 0x1f
'G', # 0x20
'g', # 0x21
'G', # 0x22
'g', # 0x23
'H', # 0x24
'h', # 0x25
'H', # 0x26
'h', # 0x27
'I', # 0x28
'i', # 0x29
'I', # 0x2a
'i', # 0x2b
'I', # 0x2c
'i', # 0x2d
'I', # 0x2e
'i', # 0x2f
'I', # 0x30
'i', # 0x31
'IJ', # 0x32
'ij', # 0x33
'J', # 0x34
'j', # 0x35
'K', # 0x36
'k', # 0x37
'k', # 0x38
'L', # 0x39
'l', # 0x3a
'L', # 0x3b
'l', # 0x3c
'L', # 0x3d
'l', # 0x3e
'L', # 0x3f
'l', # 0x40
'L', # 0x41
'l', # 0x42
'N', # 0x43
'n', # 0x44
'N', # 0x45
'n', # 0x46
'N', # 0x47
'n', # 0x48
'\'n', # 0x49
'ng', # 0x4a
'NG', # 0x4b
'O', # 0x4c
'o', # 0x4d
'O', # 0x4e
'o', # 0x4f
'O', # 0x50
'o', # 0x51
'OE', # 0x52
'oe', # 0x53
'R', # 0x54
'r', # 0x55
'R', # 0x56
'r', # 0x57
'R', # 0x58
'r', # 0x59
'S', # 0x5a
's', # 0x5b
'S', # 0x5c
's', # 0x5d
'S', # 0x5e
's', # 0x5f
'S', # 0x60
's', # 0x61
'T', # 0x62
't', # 0x63
'T', # 0x64
't', # 0x65
'T', # 0x66
't', # 0x67
'U', # 0x68
'u', # 0x69
'U', # 0x6a
'u', # 0x6b
'U', # 0x6c
'u', # 0x6d
'U', # 0x6e
'u', # 0x6f
'U', # 0x70
'u', # 0x71
'U', # 0x72
'u', # 0x73
'W', # 0x74
'w', # 0x75
'Y', # 0x76
'y', # 0x77
'Y', # 0x78
'Z', # 0x79
'z', # 0x7a
'Z', # 0x7b
'z', # 0x7c
'Z', # 0x7d
'z', # 0x7e
's', # 0x7f
'b', # 0x80
'B', # 0x81
'B', # 0x82
'b', # 0x83
'6', # 0x84
'6', # 0x85
'O', # 0x86
'C', # 0x87
'c', # 0x88
'D', # 0x89
'D', # 0x8a
'D', # 0x8b
'd', # 0x8c
'd', # 0x8d
'3', # 0x8e
'@', # 0x8f
'E', # 0x90
'F', # 0x91
'f', # 0x92
'G', # 0x93
'G', # 0x94
'hv', # 0x95
'I', # 0x96
'I', # 0x97
'K', # 0x98
'k', # 0x99
'l', # 0x9a
'l', # 0x9b
'W', # 0x9c
'N', # 0x9d
'n', # 0x9e
'O', # 0x9f
'O', # 0xa0
'o', # 0xa1
'OI', # 0xa2
'oi', # 0xa3
'P', # 0xa4
'p', # 0xa5
'YR', # 0xa6
'2', # 0xa7
'2', # 0xa8
'SH', # 0xa9
'sh', # 0xaa
't', # 0xab
'T', # 0xac
't', # 0xad
'T', # 0xae
'U', # 0xaf
'u', # 0xb0
'Y', # 0xb1
'V', # 0xb2
'Y', # 0xb3
'y', # 0xb4
'Z', # 0xb5
'z', # 0xb6
'ZH', # 0xb7
'ZH', # 0xb8
'zh', # 0xb9
'zh', # 0xba
'2', # 0xbb
'5', # 0xbc
'5', # 0xbd
'ts', # 0xbe
'w', # 0xbf
'|', # 0xc0
'||', # 0xc1
'|=', # 0xc2
'!', # 0xc3
'DZ', # 0xc4
'Dz', # 0xc5
'dz', # 0xc6
'LJ', # 0xc7
'Lj', # 0xc8
'lj', # 0xc9
'NJ', # 0xca
'Nj', # 0xcb
'nj', # 0xcc
'A', # 0xcd
'a', # 0xce
'I', # 0xcf
'i', # 0xd0
'O', # 0xd1
'o', # 0xd2
'U', # 0xd3
'u', # 0xd4
'U', # 0xd5
'u', # 0xd6
'U', # 0xd7
'u', # 0xd8
'U', # 0xd9
'u', # 0xda
'U', # 0xdb
'u', # 0xdc
'@', # 0xdd
'A', # 0xde
'a', # 0xdf
'A', # 0xe0
'a', # 0xe1
'AE', # 0xe2
'ae', # 0xe3
'G', # 0xe4
'g', # 0xe5
'G', # 0xe6
'g', # 0xe7
'K', # 0xe8
'k', # 0xe9
'O', # 0xea
'o', # 0xeb
'O', # 0xec
'o', # 0xed
'ZH', # 0xee
'zh', # 0xef
'j', # 0xf0
'DZ', # 0xf1
'Dz', # 0xf2
'dz', # 0xf3
'G', # 0xf4
'g', # 0xf5
'HV', # 0xf6
'W', # 0xf7
'N', # 0xf8
'n', # 0xf9
'A', # 0xfa
'a', # 0xfb
'AE', # 0xfc
'ae', # 0xfd
'O', # 0xfe
'o', # 0xff
)
x002 = (
'A', # 0x00
'a', # 0x01
'A', # 0x02
'a', # 0x03
'E', # 0x04
'e', # 0x05
'E', # 0x06
'e', # 0x07
'I', # 0x08
'i', # 0x09
'I', # 0x0a
'i', # 0x0b
'O', # 0x0c
'o', # 0x0d
'O', # 0x0e
'o', # 0x0f
'R', # 0x10
'r', # 0x11
'R', # 0x12
'r', # 0x13
'U', # 0x14
'u', # 0x15
'U', # 0x16
'u', # 0x17
'S', # 0x18
's', # 0x19
'T', # 0x1a
't', # 0x1b
'Y', # 0x1c
'y', # 0x1d
'H', # 0x1e
'h', # 0x1f
'N', # 0x20
'd', # 0x21
'OU', # 0x22
'ou', # 0x23
'Z', # 0x24
'z', # 0x25
'A', # 0x26
'a', # 0x27
'E', # 0x28
'e', # 0x29
'O', # 0x2a
'o', # 0x2b
'O', # 0x2c
'o', # 0x2d
'O', # 0x2e
'o', # 0x2f
'O', # 0x30
'o', # 0x31
'Y', # 0x32
'y', # 0x33
'l', # 0x34
'n', # 0x35
't', # 0x36
'j', # 0x37
'db', # 0x38
'qp', # 0x39
'A', # 0x3a
'C', # 0x3b
'c', # 0x3c
'L', # 0x3d
'T', # 0x3e
's', # 0x3f
'z', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'B', # 0x43
'U', # 0x44
'^', # 0x45
'E', # 0x46
'e', # 0x47
'J', # 0x48
'j', # 0x49
'q', # 0x4a
'q', # 0x4b
'R', # 0x4c
'r', # 0x4d
'Y', # 0x4e
'y', # 0x4f
'a', # 0x50
'a', # 0x51
'a', # 0x52
'b', # 0x53
'o', # 0x54
'c', # 0x55
'd', # 0x56
'd', # 0x57
'e', # 0x58
'@', # 0x59
'@', # 0x5a
'e', # 0x5b
'e', # 0x5c
'e', # 0x5d
'e', # 0x5e
'j', # 0x5f
'g', # 0x60
'g', # 0x61
'g', # 0x62
'g', # 0x63
'u', # 0x64
'Y', # 0x65
'h', # 0x66
'h', # 0x67
'i', # 0x68
'i', # 0x69
'I', # 0x6a
'l', # 0x6b
'l', # 0x6c
'l', # 0x6d
'lZ', # 0x6e
'W', # 0x6f
'W', # 0x70
'm', # 0x71
'n', # 0x72
'n', # 0x73
'n', # 0x74
'o', # 0x75
'OE', # 0x76
'O', # 0x77
'F', # 0x78
'r', # 0x79
'r', # 0x7a
'r', # 0x7b
'r', # 0x7c
'r', # 0x7d
'r', # 0x7e
'r', # 0x7f
'R', # 0x80
'R', # 0x81
's', # 0x82
'S', # 0x83
'j', # 0x84
'S', # 0x85
'S', # 0x86
't', # 0x87
't', # 0x88
'u', # 0x89
'U', # 0x8a
'v', # 0x8b
'^', # 0x8c
'w', # 0x8d
'y', # 0x8e
'Y', # 0x8f
'z', # 0x90
'z', # 0x91
'Z', # 0x92
'Z', # 0x93
'?', # 0x94
'?', # 0x95
'?', # 0x96
'C', # 0x97
'@', # 0x98
'B', # 0x99
'E', # 0x9a
'G', # 0x9b
'H', # 0x9c
'j', # 0x9d
'k', # 0x9e
'L', # 0x9f
'q', # 0xa0
'?', # 0xa1
'?', # 0xa2
'dz', # 0xa3
'dZ', # 0xa4
'dz', # 0xa5
'ts', # 0xa6
'tS', # 0xa7
'tC', # 0xa8
'fN', # 0xa9
'ls', # 0xaa
'lz', # 0xab
'WW', # 0xac
']]', # 0xad
'h', # 0xae
'h', # 0xaf
'k', # 0xb0
'h', # 0xb1
'j', # 0xb2
'r', # 0xb3
'r', # 0xb4
'r', # 0xb5
'r', # 0xb6
'w', # 0xb7
'y', # 0xb8
'\'', # 0xb9
'"', # 0xba
'`', # 0xbb
'\'', # 0xbc
'`', # 0xbd
'`', # 0xbe
'\'', # 0xbf
'?', # 0xc0
'?', # 0xc1
'<', # 0xc2
'>', # 0xc3
'^', # 0xc4
'V', # 0xc5
'^', # 0xc6
'V', # 0xc7
'\'', # 0xc8
'-', # 0xc9
'/', # 0xca
'\\', # 0xcb
',', # 0xcc
'_', # 0xcd
'\\', # 0xce
'/', # 0xcf
':', # 0xd0
'.', # 0xd1
'`', # 0xd2
'\'', # 0xd3
'^', # 0xd4
'V', # 0xd5
'+', # 0xd6
'-', # 0xd7
'V', # 0xd8
'.', # 0xd9
'@', # 0xda
',', # 0xdb
'~', # 0xdc
'"', # 0xdd
'R', # 0xde
'X', # 0xdf
'G', # 0xe0
'l', # 0xe1
's', # 0xe2
'x', # 0xe3
'?', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'V', # 0xec
'=', # 0xed
'"', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x003 = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'a', # 0x63
'e', # 0x64
'i', # 0x65
'o', # 0x66
'u', # 0x67
'c', # 0x68
'd', # 0x69
'h', # 0x6a
'm', # 0x6b
'r', # 0x6c
't', # 0x6d
'v', # 0x6e
'x', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'\'', # 0x74
',', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'?', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'', # 0x84
'', # 0x85
'A', # 0x86
';', # 0x87
'E', # 0x88
'E', # 0x89
'I', # 0x8a
'[?]', # 0x8b
'O', # 0x8c
'[?]', # 0x8d
'U', # 0x8e
'O', # 0x8f
'I', # 0x90
'A', # 0x91
'B', # 0x92
'G', # 0x93
'D', # 0x94
'E', # 0x95
'Z', # 0x96
'E', # 0x97
'Th', # 0x98
'I', # 0x99
'K', # 0x9a
'L', # 0x9b
'M', # 0x9c
'N', # 0x9d
'Ks', # 0x9e
'O', # 0x9f
'P', # 0xa0
'R', # 0xa1
'[?]', # 0xa2
'S', # 0xa3
'T', # 0xa4
'U', # 0xa5
'Ph', # 0xa6
'Kh', # 0xa7
'Ps', # 0xa8
'O', # 0xa9
'I', # 0xaa
'U', # 0xab
'a', # 0xac
'e', # 0xad
'e', # 0xae
'i', # 0xaf
'u', # 0xb0
'a', # 0xb1
'b', # 0xb2
'g', # 0xb3
'd', # 0xb4
'e', # 0xb5
'z', # 0xb6
'e', # 0xb7
'th', # 0xb8
'i', # 0xb9
'k', # 0xba
'l', # 0xbb
'm', # 0xbc
'n', # 0xbd
'x', # 0xbe
'o', # 0xbf
'p', # 0xc0
'r', # 0xc1
's', # 0xc2
's', # 0xc3
't', # 0xc4
'u', # 0xc5
'ph', # 0xc6
'kh', # 0xc7
'ps', # 0xc8
'o', # 0xc9
'i', # 0xca
'u', # 0xcb
'o', # 0xcc
'u', # 0xcd
'o', # 0xce
'[?]', # 0xcf
'b', # 0xd0
'th', # 0xd1
'U', # 0xd2
'U', # 0xd3
'U', # 0xd4
'ph', # 0xd5
'p', # 0xd6
'&', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'St', # 0xda
'st', # 0xdb
'W', # 0xdc
'w', # 0xdd
'Q', # 0xde
'q', # 0xdf
'Sp', # 0xe0
'sp', # 0xe1
'Sh', # 0xe2
'sh', # 0xe3
'F', # 0xe4
'f', # 0xe5
'Kh', # 0xe6
'kh', # 0xe7
'H', # 0xe8
'h', # 0xe9
'G', # 0xea
'g', # 0xeb
'CH', # 0xec
'ch', # 0xed
'Ti', # 0xee
'ti', # 0xef
'k', # 0xf0
'r', # 0xf1
'c', # 0xf2
'j', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x004 = (
'Ie', # 0x00
'Io', # 0x01
'Dj', # 0x02
'Gj', # 0x03
'Ie', # 0x04
'Dz', # 0x05
'I', # 0x06
'Yi', # 0x07
'J', # 0x08
'Lj', # 0x09
'Nj', # 0x0a
'Tsh', # 0x0b
'Kj', # 0x0c
'I', # 0x0d
'U', # 0x0e
'Dzh', # 0x0f
'A', # 0x10
'B', # 0x11
'V', # 0x12
'G', # 0x13
'D', # 0x14
'E', # 0x15
'Zh', # 0x16
'Z', # 0x17
'I', # 0x18
'I', # 0x19
'K', # 0x1a
'L', # 0x1b
'M', # 0x1c
'N', # 0x1d
'O', # 0x1e
'P', # 0x1f
'R', # 0x20
'S', # 0x21
'T', # 0x22
'U', # 0x23
'F', # 0x24
'Kh', # 0x25
'Ts', # 0x26
'Ch', # 0x27
'Sh', # 0x28
'Shch', # 0x29
'\'', # 0x2a
'Y', # 0x2b
'\'', # 0x2c
'E', # 0x2d
'Iu', # 0x2e
'Ia', # 0x2f
'a', # 0x30
'b', # 0x31
'v', # 0x32
'g', # 0x33
'd', # 0x34
'e', # 0x35
'zh', # 0x36
'z', # 0x37
'i', # 0x38
'i', # 0x39
'k', # 0x3a
'l', # 0x3b
'm', # 0x3c
'n', # 0x3d
'o', # 0x3e
'p', # 0x3f
'r', # 0x40
's', # 0x41
't', # 0x42
'u', # 0x43
'f', # 0x44
'kh', # 0x45
'ts', # 0x46
'ch', # 0x47
'sh', # 0x48
'shch', # 0x49
'\'', # 0x4a
'y', # 0x4b
'\'', # 0x4c
'e', # 0x4d
'iu', # 0x4e
'ia', # 0x4f
'ie', # 0x50
'io', # 0x51
'dj', # 0x52
'gj', # 0x53
'ie', # 0x54
'dz', # 0x55
'i', # 0x56
'yi', # 0x57
'j', # 0x58
'lj', # 0x59
'nj', # 0x5a
'tsh', # 0x5b
'kj', # 0x5c
'i', # 0x5d
'u', # 0x5e
'dzh', # 0x5f
'O', # 0x60
'o', # 0x61
'E', # 0x62
'e', # 0x63
'Ie', # 0x64
'ie', # 0x65
'E', # 0x66
'e', # 0x67
'Ie', # 0x68
'ie', # 0x69
'O', # 0x6a
'o', # 0x6b
'Io', # 0x6c
'io', # 0x6d
'Ks', # 0x6e
'ks', # 0x6f
'Ps', # 0x70
'ps', # 0x71
'F', # 0x72
'f', # 0x73
'Y', # 0x74
'y', # 0x75
'Y', # 0x76
'y', # 0x77
'u', # 0x78
'u', # 0x79
'O', # 0x7a
'o', # 0x7b
'O', # 0x7c
'o', # 0x7d
'Ot', # 0x7e
'ot', # 0x7f
'Q', # 0x80
'q', # 0x81
'*1000*', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'[?]', # 0x87
'*100.000*', # 0x88
'*1.000.000*', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'"', # 0x8c
'"', # 0x8d
'R\'', # 0x8e
'r\'', # 0x8f
'G\'', # 0x90
'g\'', # 0x91
'G\'', # 0x92
'g\'', # 0x93
'G\'', # 0x94
'g\'', # 0x95
'Zh\'', # 0x96
'zh\'', # 0x97
'Z\'', # 0x98
'z\'', # 0x99
'K\'', # 0x9a
'k\'', # 0x9b
'K\'', # 0x9c
'k\'', # 0x9d
'K\'', # 0x9e
'k\'', # 0x9f
'K\'', # 0xa0
'k\'', # 0xa1
'N\'', # 0xa2
'n\'', # 0xa3
'Ng', # 0xa4
'ng', # 0xa5
'P\'', # 0xa6
'p\'', # 0xa7
'Kh', # 0xa8
'kh', # 0xa9
'S\'', # 0xaa
's\'', # 0xab
'T\'', # 0xac
't\'', # 0xad
'U', # 0xae
'u', # 0xaf
'U\'', # 0xb0
'u\'', # 0xb1
'Kh\'', # 0xb2
'kh\'', # 0xb3
'Tts', # 0xb4
'tts', # 0xb5
'Ch\'', # 0xb6
'ch\'', # 0xb7
'Ch\'', # 0xb8
'ch\'', # 0xb9
'H', # 0xba
'h', # 0xbb
'Ch', # 0xbc
'ch', # 0xbd
'Ch\'', # 0xbe
'ch\'', # 0xbf
'`', # 0xc0
'Zh', # 0xc1
'zh', # 0xc2
'K\'', # 0xc3
'k\'', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'N\'', # 0xc7
'n\'', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'Ch', # 0xcb
'ch', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'a', # 0xd0
'a', # 0xd1
'A', # 0xd2
'a', # 0xd3
'Ae', # 0xd4
'ae', # 0xd5
'Ie', # 0xd6
'ie', # 0xd7
'@', # 0xd8
'@', # 0xd9
'@', # 0xda
'@', # 0xdb
'Zh', # 0xdc
'zh', # 0xdd
'Z', # 0xde
'z', # 0xdf
'Dz', # 0xe0
'dz', # 0xe1
'I', # 0xe2
'i', # 0xe3
'I', # 0xe4
'i', # 0xe5
'O', # 0xe6
'o', # 0xe7
'O', # 0xe8
'o', # 0xe9
'O', # 0xea
'o', # 0xeb
'E', # 0xec
'e', # 0xed
'U', # 0xee
'u', # 0xef
'U', # 0xf0
'u', # 0xf1
'U', # 0xf2
'u', # 0xf3
'Ch', # 0xf4
'ch', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'Y', # 0xf8
'y', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x005 = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'[?]', # 0x20
'[?]', # 0x21
'[?]', # 0x22
'[?]', # 0x23
'[?]', # 0x24
'[?]', # 0x25
'[?]', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'[?]', # 0x29
'[?]', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'A', # 0x31
'B', # 0x32
'G', # 0x33
'D', # 0x34
'E', # 0x35
'Z', # 0x36
'E', # 0x37
'E', # 0x38
'T`', # 0x39
'Zh', # 0x3a
'I', # 0x3b
'L', # 0x3c
'Kh', # 0x3d
'Ts', # 0x3e
'K', # 0x3f
'H', # 0x40
'Dz', # 0x41
'Gh', # 0x42
'Ch', # 0x43
'M', # 0x44
'Y', # 0x45
'N', # 0x46
'Sh', # 0x47
'O', # 0x48
'Ch`', # 0x49
'P', # 0x4a
'J', # 0x4b
'Rh', # 0x4c
'S', # 0x4d
'V', # 0x4e
'T', # 0x4f
'R', # 0x50
'Ts`', # 0x51
'W', # 0x52
'P`', # 0x53
'K`', # 0x54
'O', # 0x55
'F', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'<', # 0x59
'\'', # 0x5a
'/', # 0x5b
'!', # 0x5c
',', # 0x5d
'?', # 0x5e
'.', # 0x5f
'[?]', # 0x60
'a', # 0x61
'b', # 0x62
'g', # 0x63
'd', # 0x64
'e', # 0x65
'z', # 0x66
'e', # 0x67
'e', # 0x68
't`', # 0x69
'zh', # 0x6a
'i', # 0x6b
'l', # 0x6c
'kh', # 0x6d
'ts', # 0x6e
'k', # 0x6f
'h', # 0x70
'dz', # 0x71
'gh', # 0x72
'ch', # 0x73
'm', # 0x74
'y', # 0x75
'n', # 0x76
'sh', # 0x77
'o', # 0x78
'ch`', # 0x79
'p', # 0x7a
'j', # 0x7b
'rh', # 0x7c
's', # 0x7d
'v', # 0x7e
't', # 0x7f
'r', # 0x80
'ts`', # 0x81
'w', # 0x82
'p`', # 0x83
'k`', # 0x84
'o', # 0x85
'f', # 0x86
'ew', # 0x87
'[?]', # 0x88
':', # 0x89
'-', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'[?]', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'@', # 0xb0
'e', # 0xb1
'a', # 0xb2
'o', # 0xb3
'i', # 0xb4
'e', # 0xb5
'e', # 0xb6
'a', # 0xb7
'a', # 0xb8
'o', # 0xb9
'[?]', # 0xba
'u', # 0xbb
'\'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'|', # 0xc0
'', # 0xc1
'', # 0xc2
':', # 0xc3
'', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'', # 0xd0
'b', # 0xd1
'g', # 0xd2
'd', # 0xd3
'h', # 0xd4
'v', # 0xd5
'z', # 0xd6
'kh', # 0xd7
't', # 0xd8
'y', # 0xd9
'k', # 0xda
'k', # 0xdb
'l', # 0xdc
'm', # 0xdd
'm', # 0xde
'n', # 0xdf
'n', # 0xe0
's', # 0xe1
'`', # 0xe2
'p', # 0xe3
'p', # 0xe4
'ts', # 0xe5
'ts', # 0xe6
'q', # 0xe7
'r', # 0xe8
'sh', # 0xe9
't', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'V', # 0xf0
'oy', # 0xf1
'i', # 0xf2
'\'', # 0xf3
'"', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x006 = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
',', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
';', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'?', # 0x1f
'[?]', # 0x20
'', # 0x21
'a', # 0x22
'\'', # 0x23
'w\'', # 0x24
'', # 0x25
'y\'', # 0x26
'', # 0x27
'b', # 0x28
'@', # 0x29
't', # 0x2a
'th', # 0x2b
'j', # 0x2c
'H', # 0x2d
'kh', # 0x2e
'd', # 0x2f
'dh', # 0x30
'r', # 0x31
'z', # 0x32
's', # 0x33
'sh', # 0x34
'S', # 0x35
'D', # 0x36
'T', # 0x37
'Z', # 0x38
'`', # 0x39
'G', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'', # 0x40
'f', # 0x41
'q', # 0x42
'k', # 0x43
'l', # 0x44
'm', # 0x45
'n', # 0x46
'h', # 0x47
'w', # 0x48
'~', # 0x49
'y', # 0x4a
'an', # 0x4b
'un', # 0x4c
'in', # 0x4d
'a', # 0x4e
'u', # 0x4f
'i', # 0x50
'W', # 0x51
'', # 0x52
'', # 0x53
'\'', # 0x54
'\'', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'0', # 0x60
'1', # 0x61
'2', # 0x62
'3', # 0x63
'4', # 0x64
'5', # 0x65
'6', # 0x66
'7', # 0x67
'8', # 0x68
'9', # 0x69
'%', # 0x6a
'.', # 0x6b
',', # 0x6c
'*', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'', # 0x70
'\'', # 0x71
'\'', # 0x72
'\'', # 0x73
'', # 0x74
'\'', # 0x75
'\'w', # 0x76
'\'u', # 0x77
'\'y', # 0x78
'tt', # 0x79
'tth', # 0x7a
'b', # 0x7b
't', # 0x7c
'T', # 0x7d
'p', # 0x7e
'th', # 0x7f
'bh', # 0x80
'\'h', # 0x81
'H', # 0x82
'ny', # 0x83
'dy', # 0x84
'H', # 0x85
'ch', # 0x86
'cch', # 0x87
'dd', # 0x88
'D', # 0x89
'D', # 0x8a
'Dt', # 0x8b
'dh', # 0x8c
'ddh', # 0x8d
'd', # 0x8e
'D', # 0x8f
'D', # 0x90
'rr', # 0x91
'R', # 0x92
'R', # 0x93
'R', # 0x94
'R', # 0x95
'R', # 0x96
'R', # 0x97
'j', # 0x98
'R', # 0x99
'S', # 0x9a
'S', # 0x9b
'S', # 0x9c
'S', # 0x9d
'S', # 0x9e
'T', # 0x9f
'GH', # 0xa0
'F', # 0xa1
'F', # 0xa2
'F', # 0xa3
'v', # 0xa4
'f', # 0xa5
'ph', # 0xa6
'Q', # 0xa7
'Q', # 0xa8
'kh', # 0xa9
'k', # 0xaa
'K', # 0xab
'K', # 0xac
'ng', # 0xad
'K', # 0xae
'g', # 0xaf
'G', # 0xb0
'N', # 0xb1
'G', # 0xb2
'G', # 0xb3
'G', # 0xb4
'L', # 0xb5
'L', # 0xb6
'L', # 0xb7
'L', # 0xb8
'N', # 0xb9
'N', # 0xba
'N', # 0xbb
'N', # 0xbc
'N', # 0xbd
'h', # 0xbe
'Ch', # 0xbf
'hy', # 0xc0
'h', # 0xc1
'H', # 0xc2
'@', # 0xc3
'W', # 0xc4
'oe', # 0xc5
'oe', # 0xc6
'u', # 0xc7
'yu', # 0xc8
'yu', # 0xc9
'W', # 0xca
'v', # 0xcb
'y', # 0xcc
'Y', # 0xcd
'Y', # 0xce
'W', # 0xcf
'', # 0xd0
'', # 0xd1
'y', # 0xd2
'y\'', # 0xd3
'.', # 0xd4
'ae', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'@', # 0xdd
'#', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'^', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'0', # 0xf0
'1', # 0xf1
'2', # 0xf2
'3', # 0xf3
'4', # 0xf4
'5', # 0xf5
'6', # 0xf6
'7', # 0xf7
'8', # 0xf8
'9', # 0xf9
'Sh', # 0xfa
'D', # 0xfb
'Gh', # 0xfc
'&', # 0xfd
'+m', # 0xfe
)
x007 = (
'//', # 0x00
'/', # 0x01
',', # 0x02
'!', # 0x03
'!', # 0x04
'-', # 0x05
',', # 0x06
',', # 0x07
';', # 0x08
'?', # 0x09
'~', # 0x0a
'{', # 0x0b
'}', # 0x0c
'*', # 0x0d
'[?]', # 0x0e
'', # 0x0f
'\'', # 0x10
'', # 0x11
'b', # 0x12
'g', # 0x13
'g', # 0x14
'd', # 0x15
'd', # 0x16
'h', # 0x17
'w', # 0x18
'z', # 0x19
'H', # 0x1a
't', # 0x1b
't', # 0x1c
'y', # 0x1d
'yh', # 0x1e
'k', # 0x1f
'l', # 0x20
'm', # 0x21
'n', # 0x22
's', # 0x23
's', # 0x24
'`', # 0x25
'p', # 0x26
'p', # 0x27
'S', # 0x28
'q', # 0x29
'r', # 0x2a
'sh', # 0x2b
't', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'a', # 0x30
'a', # 0x31
'a', # 0x32
'A', # 0x33
'A', # 0x34
'A', # 0x35
'e', # 0x36
'e', # 0x37
'e', # 0x38
'E', # 0x39
'i', # 0x3a
'i', # 0x3b
'u', # 0x3c
'u', # 0x3d
'u', # 0x3e
'o', # 0x3f
'', # 0x40
'`', # 0x41
'\'', # 0x42
'', # 0x43
'', # 0x44
'X', # 0x45
'Q', # 0x46
'@', # 0x47
'@', # 0x48
'|', # 0x49
'+', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'h', # 0x80
'sh', # 0x81
'n', # 0x82
'r', # 0x83
'b', # 0x84
'L', # 0x85
'k', # 0x86
'\'', # 0x87
'v', # 0x88
'm', # 0x89
'f', # 0x8a
'dh', # 0x8b
'th', # 0x8c
'l', # 0x8d
'g', # 0x8e
'ny', # 0x8f
's', # 0x90
'd', # 0x91
'z', # 0x92
't', # 0x93
'y', # 0x94
'p', # 0x95
'j', # 0x96
'ch', # 0x97
'tt', # 0x98
'hh', # 0x99
'kh', # 0x9a
'th', # 0x9b
'z', # 0x9c
'sh', # 0x9d
's', # 0x9e
'd', # 0x9f
't', # 0xa0
'z', # 0xa1
'`', # 0xa2
'gh', # 0xa3
'q', # 0xa4
'w', # 0xa5
'a', # 0xa6
'aa', # 0xa7
'i', # 0xa8
'ee', # 0xa9
'u', # 0xaa
'oo', # 0xab
'e', # 0xac
'ey', # 0xad
'o', # 0xae
'oa', # 0xaf
'', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x009 = (
'[?]', # 0x00
'N', # 0x01
'N', # 0x02
'H', # 0x03
'[?]', # 0x04
'a', # 0x05
'aa', # 0x06
'i', # 0x07
'ii', # 0x08
'u', # 0x09
'uu', # 0x0a
'R', # 0x0b
'L', # 0x0c
'eN', # 0x0d
'e', # 0x0e
'e', # 0x0f
'ai', # 0x10
'oN', # 0x11
'o', # 0x12
'o', # 0x13
'au', # 0x14
'k', # 0x15
'kh', # 0x16
'g', # 0x17
'gh', # 0x18
'ng', # 0x19
'c', # 0x1a
'ch', # 0x1b
'j', # 0x1c
'jh', # 0x1d
'ny', # 0x1e
'tt', # 0x1f
'tth', # 0x20
'dd', # 0x21
'ddh', # 0x22
'nn', # 0x23
't', # 0x24
'th', # 0x25
'd', # 0x26
'dh', # 0x27
'n', # 0x28
'nnn', # 0x29
'p', # 0x2a
'ph', # 0x2b
'b', # 0x2c
'bh', # 0x2d
'm', # 0x2e
'y', # 0x2f
'r', # 0x30
'rr', # 0x31
'l', # 0x32
'l', # 0x33
'lll', # 0x34
'v', # 0x35
'sh', # 0x36
'ss', # 0x37
's', # 0x38
'h', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'\'', # 0x3c
'\'', # 0x3d
'aa', # 0x3e
'i', # 0x3f
'ii', # 0x40
'u', # 0x41
'uu', # 0x42
'R', # 0x43
'RR', # 0x44
'eN', # 0x45
'e', # 0x46
'e', # 0x47
'ai', # 0x48
'oN', # 0x49
'o', # 0x4a
'o', # 0x4b
'au', # 0x4c
'', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'AUM', # 0x50
'\'', # 0x51
'\'', # 0x52
'`', # 0x53
'\'', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'q', # 0x58
'khh', # 0x59
'ghh', # 0x5a
'z', # 0x5b
'dddh', # 0x5c
'rh', # 0x5d
'f', # 0x5e
'yy', # 0x5f
'RR', # 0x60
'LL', # 0x61
'L', # 0x62
'LL', # 0x63
' / ', # 0x64
' // ', # 0x65
'0', # 0x66
'1', # 0x67
'2', # 0x68
'3', # 0x69
'4', # 0x6a
'5', # 0x6b
'6', # 0x6c
'7', # 0x6d
'8', # 0x6e
'9', # 0x6f
'.', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'N', # 0x81
'N', # 0x82
'H', # 0x83
'[?]', # 0x84
'a', # 0x85
'aa', # 0x86
'i', # 0x87
'ii', # 0x88
'u', # 0x89
'uu', # 0x8a
'R', # 0x8b
'RR', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'e', # 0x8f
'ai', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'o', # 0x93
'au', # 0x94
'k', # 0x95
'kh', # 0x96
'g', # 0x97
'gh', # 0x98
'ng', # 0x99
'c', # 0x9a
'ch', # 0x9b
'j', # 0x9c
'jh', # 0x9d
'ny', # 0x9e
'tt', # 0x9f
'tth', # 0xa0
'dd', # 0xa1
'ddh', # 0xa2
'nn', # 0xa3
't', # 0xa4
'th', # 0xa5
'd', # 0xa6
'dh', # 0xa7
'n', # 0xa8
'[?]', # 0xa9
'p', # 0xaa
'ph', # 0xab
'b', # 0xac
'bh', # 0xad
'm', # 0xae
'y', # 0xaf
'r', # 0xb0
'[?]', # 0xb1
'l', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'sh', # 0xb6
'ss', # 0xb7
's', # 0xb8
'h', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'\'', # 0xbc
'[?]', # 0xbd
'aa', # 0xbe
'i', # 0xbf
'ii', # 0xc0
'u', # 0xc1
'uu', # 0xc2
'R', # 0xc3
'RR', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'e', # 0xc7
'ai', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'o', # 0xcb
'au', # 0xcc
'', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'+', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'rr', # 0xdc
'rh', # 0xdd
'[?]', # 0xde
'yy', # 0xdf
'RR', # 0xe0
'LL', # 0xe1
'L', # 0xe2
'LL', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'0', # 0xe6
'1', # 0xe7
'2', # 0xe8
'3', # 0xe9
'4', # 0xea
'5', # 0xeb
'6', # 0xec
'7', # 0xed
'8', # 0xee
'9', # 0xef
'r\'', # 0xf0
'r`', # 0xf1
'Rs', # 0xf2
'Rs', # 0xf3
'1/', # 0xf4
'2/', # 0xf5
'3/', # 0xf6
'4/', # 0xf7
' 1 - 1/', # 0xf8
'/16', # 0xf9
'', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x00a = (
'[?]', # 0x00
'[?]', # 0x01
'N', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'a', # 0x05
'aa', # 0x06
'i', # 0x07
'ii', # 0x08
'u', # 0x09
'uu', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'ee', # 0x0f
'ai', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'oo', # 0x13
'au', # 0x14
'k', # 0x15
'kh', # 0x16
'g', # 0x17
'gh', # 0x18
'ng', # 0x19
'c', # 0x1a
'ch', # 0x1b
'j', # 0x1c
'jh', # 0x1d
'ny', # 0x1e
'tt', # 0x1f
'tth', # 0x20
'dd', # 0x21
'ddh', # 0x22
'nn', # 0x23
't', # 0x24
'th', # 0x25
'd', # 0x26
'dh', # 0x27
'n', # 0x28
'[?]', # 0x29
'p', # 0x2a
'ph', # 0x2b
'b', # 0x2c
'bb', # 0x2d
'm', # 0x2e
'y', # 0x2f
'r', # 0x30
'[?]', # 0x31
'l', # 0x32
'll', # 0x33
'[?]', # 0x34
'v', # 0x35
'sh', # 0x36
'[?]', # 0x37
's', # 0x38
'h', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'\'', # 0x3c
'[?]', # 0x3d
'aa', # 0x3e
'i', # 0x3f
'ii', # 0x40
'u', # 0x41
'uu', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'ee', # 0x47
'ai', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'oo', # 0x4b
'au', # 0x4c
'', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'khh', # 0x59
'ghh', # 0x5a
'z', # 0x5b
'rr', # 0x5c
'[?]', # 0x5d
'f', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'0', # 0x66
'1', # 0x67
'2', # 0x68
'3', # 0x69
'4', # 0x6a
'5', # 0x6b
'6', # 0x6c
'7', # 0x6d
'8', # 0x6e
'9', # 0x6f
'N', # 0x70
'H', # 0x71
'', # 0x72
'', # 0x73
'G.E.O.', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'N', # 0x81
'N', # 0x82
'H', # 0x83
'[?]', # 0x84
'a', # 0x85
'aa', # 0x86
'i', # 0x87
'ii', # 0x88
'u', # 0x89
'uu', # 0x8a
'R', # 0x8b
'[?]', # 0x8c
'eN', # 0x8d
'[?]', # 0x8e
'e', # 0x8f
'ai', # 0x90
'oN', # 0x91
'[?]', # 0x92
'o', # 0x93
'au', # 0x94
'k', # 0x95
'kh', # 0x96
'g', # 0x97
'gh', # 0x98
'ng', # 0x99
'c', # 0x9a
'ch', # 0x9b
'j', # 0x9c
'jh', # 0x9d
'ny', # 0x9e
'tt', # 0x9f
'tth', # 0xa0
'dd', # 0xa1
'ddh', # 0xa2
'nn', # 0xa3
't', # 0xa4
'th', # 0xa5
'd', # 0xa6
'dh', # 0xa7
'n', # 0xa8
'[?]', # 0xa9
'p', # 0xaa
'ph', # 0xab
'b', # 0xac
'bh', # 0xad
'm', # 0xae
'ya', # 0xaf
'r', # 0xb0
'[?]', # 0xb1
'l', # 0xb2
'll', # 0xb3
'[?]', # 0xb4
'v', # 0xb5
'sh', # 0xb6
'ss', # 0xb7
's', # 0xb8
'h', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'\'', # 0xbc
'\'', # 0xbd
'aa', # 0xbe
'i', # 0xbf
'ii', # 0xc0
'u', # 0xc1
'uu', # 0xc2
'R', # 0xc3
'RR', # 0xc4
'eN', # 0xc5
'[?]', # 0xc6
'e', # 0xc7
'ai', # 0xc8
'oN', # 0xc9
'[?]', # 0xca
'o', # 0xcb
'au', # 0xcc
'', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'AUM', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'RR', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'0', # 0xe6
'1', # 0xe7
'2', # 0xe8
'3', # 0xe9
'4', # 0xea
'5', # 0xeb
'6', # 0xec
'7', # 0xed
'8', # 0xee
'9', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x00b = (
'[?]', # 0x00
'N', # 0x01
'N', # 0x02
'H', # 0x03
'[?]', # 0x04
'a', # 0x05
'aa', # 0x06
'i', # 0x07
'ii', # 0x08
'u', # 0x09
'uu', # 0x0a
'R', # 0x0b
'L', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'e', # 0x0f
'ai', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'o', # 0x13
'au', # 0x14
'k', # 0x15
'kh', # 0x16
'g', # 0x17
'gh', # 0x18
'ng', # 0x19
'c', # 0x1a
'ch', # 0x1b
'j', # 0x1c
'jh', # 0x1d
'ny', # 0x1e
'tt', # 0x1f
'tth', # 0x20
'dd', # 0x21
'ddh', # 0x22
'nn', # 0x23
't', # 0x24
'th', # 0x25
'd', # 0x26
'dh', # 0x27
'n', # 0x28
'[?]', # 0x29
'p', # 0x2a
'ph', # 0x2b
'b', # 0x2c
'bh', # 0x2d
'm', # 0x2e
'y', # 0x2f
'r', # 0x30
'[?]', # 0x31
'l', # 0x32
'll', # 0x33
'[?]', # 0x34
'', # 0x35
'sh', # 0x36
'ss', # 0x37
's', # 0x38
'h', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'\'', # 0x3c
'\'', # 0x3d
'aa', # 0x3e
'i', # 0x3f
'ii', # 0x40
'u', # 0x41
'uu', # 0x42
'R', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'e', # 0x47
'ai', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'o', # 0x4b
'au', # 0x4c
'', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'+', # 0x56
'+', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'rr', # 0x5c
'rh', # 0x5d
'[?]', # 0x5e
'yy', # 0x5f
'RR', # 0x60
'LL', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'0', # 0x66
'1', # 0x67
'2', # 0x68
'3', # 0x69
'4', # 0x6a
'5', # 0x6b
'6', # 0x6c
'7', # 0x6d
'8', # 0x6e
'9', # 0x6f
'', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'N', # 0x82
'H', # 0x83
'[?]', # 0x84
'a', # 0x85
'aa', # 0x86
'i', # 0x87
'ii', # 0x88
'u', # 0x89
'uu', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'e', # 0x8e
'ee', # 0x8f
'ai', # 0x90
'[?]', # 0x91
'o', # 0x92
'oo', # 0x93
'au', # 0x94
'k', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'ng', # 0x99
'c', # 0x9a
'[?]', # 0x9b
'j', # 0x9c
'[?]', # 0x9d
'ny', # 0x9e
'tt', # 0x9f
'[?]', # 0xa0
'[?]', # 0xa1
'[?]', # 0xa2
'nn', # 0xa3
't', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'n', # 0xa8
'nnn', # 0xa9
'p', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'm', # 0xae
'y', # 0xaf
'r', # 0xb0
'rr', # 0xb1
'l', # 0xb2
'll', # 0xb3
'lll', # 0xb4
'v', # 0xb5
'[?]', # 0xb6
'ss', # 0xb7
's', # 0xb8
'h', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'aa', # 0xbe
'i', # 0xbf
'ii', # 0xc0
'u', # 0xc1
'uu', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'e', # 0xc6
'ee', # 0xc7
'ai', # 0xc8
'[?]', # 0xc9
'o', # 0xca
'oo', # 0xcb
'au', # 0xcc
'', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'+', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'0', # 0xe6
'1', # 0xe7
'2', # 0xe8
'3', # 0xe9
'4', # 0xea
'5', # 0xeb
'6', # 0xec
'7', # 0xed
'8', # 0xee
'9', # 0xef
'+10+', # 0xf0
'+100+', # 0xf1
'+1000+', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x00c = (
'[?]', # 0x00
'N', # 0x01
'N', # 0x02
'H', # 0x03
'[?]', # 0x04
'a', # 0x05
'aa', # 0x06
'i', # 0x07
'ii', # 0x08
'u', # 0x09
'uu', # 0x0a
'R', # 0x0b
'L', # 0x0c
'[?]', # 0x0d
'e', # 0x0e
'ee', # 0x0f
'ai', # 0x10
'[?]', # 0x11
'o', # 0x12
'oo', # 0x13
'au', # 0x14
'k', # 0x15
'kh', # 0x16
'g', # 0x17
'gh', # 0x18
'ng', # 0x19
'c', # 0x1a
'ch', # 0x1b
'j', # 0x1c
'jh', # 0x1d
'ny', # 0x1e
'tt', # 0x1f
'tth', # 0x20
'dd', # 0x21
'ddh', # 0x22
'nn', # 0x23
't', # 0x24
'th', # 0x25
'd', # 0x26
'dh', # 0x27
'n', # 0x28
'[?]', # 0x29
'p', # 0x2a
'ph', # 0x2b
'b', # 0x2c
'bh', # 0x2d
'm', # 0x2e
'y', # 0x2f
'r', # 0x30
'rr', # 0x31
'l', # 0x32
'll', # 0x33
'[?]', # 0x34
'v', # 0x35
'sh', # 0x36
'ss', # 0x37
's', # 0x38
'h', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'aa', # 0x3e
'i', # 0x3f
'ii', # 0x40
'u', # 0x41
'uu', # 0x42
'R', # 0x43
'RR', # 0x44
'[?]', # 0x45
'e', # 0x46
'ee', # 0x47
'ai', # 0x48
'[?]', # 0x49
'o', # 0x4a
'oo', # 0x4b
'au', # 0x4c
'', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'+', # 0x55
'+', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'RR', # 0x60
'LL', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'0', # 0x66
'1', # 0x67
'2', # 0x68
'3', # 0x69
'4', # 0x6a
'5', # 0x6b
'6', # 0x6c
'7', # 0x6d
'8', # 0x6e
'9', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'N', # 0x82
'H', # 0x83
'[?]', # 0x84
'a', # 0x85
'aa', # 0x86
'i', # 0x87
'ii', # 0x88
'u', # 0x89
'uu', # 0x8a
'R', # 0x8b
'L', # 0x8c
'[?]', # 0x8d
'e', # 0x8e
'ee', # 0x8f
'ai', # 0x90
'[?]', # 0x91
'o', # 0x92
'oo', # 0x93
'au', # 0x94
'k', # 0x95
'kh', # 0x96
'g', # 0x97
'gh', # 0x98
'ng', # 0x99
'c', # 0x9a
'ch', # 0x9b
'j', # 0x9c
'jh', # 0x9d
'ny', # 0x9e
'tt', # 0x9f
'tth', # 0xa0
'dd', # 0xa1
'ddh', # 0xa2
'nn', # 0xa3
't', # 0xa4
'th', # 0xa5
'd', # 0xa6
'dh', # 0xa7
'n', # 0xa8
'[?]', # 0xa9
'p', # 0xaa
'ph', # 0xab
'b', # 0xac
'bh', # 0xad
'm', # 0xae
'y', # 0xaf
'r', # 0xb0
'rr', # 0xb1
'l', # 0xb2
'll', # 0xb3
'[?]', # 0xb4
'v', # 0xb5
'sh', # 0xb6
'ss', # 0xb7
's', # 0xb8
'h', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'aa', # 0xbe
'i', # 0xbf
'ii', # 0xc0
'u', # 0xc1
'uu', # 0xc2
'R', # 0xc3
'RR', # 0xc4
'[?]', # 0xc5
'e', # 0xc6
'ee', # 0xc7
'ai', # 0xc8
'[?]', # 0xc9
'o', # 0xca
'oo', # 0xcb
'au', # 0xcc
'', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'+', # 0xd5
'+', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'lll', # 0xde
'[?]', # 0xdf
'RR', # 0xe0
'LL', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'0', # 0xe6
'1', # 0xe7
'2', # 0xe8
'3', # 0xe9
'4', # 0xea
'5', # 0xeb
'6', # 0xec
'7', # 0xed
'8', # 0xee
'9', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x00d = (
'[?]', # 0x00
'[?]', # 0x01
'N', # 0x02
'H', # 0x03
'[?]', # 0x04
'a', # 0x05
'aa', # 0x06
'i', # 0x07
'ii', # 0x08
'u', # 0x09
'uu', # 0x0a
'R', # 0x0b
'L', # 0x0c
'[?]', # 0x0d
'e', # 0x0e
'ee', # 0x0f
'ai', # 0x10
'[?]', # 0x11
'o', # 0x12
'oo', # 0x13
'au', # 0x14
'k', # 0x15
'kh', # 0x16
'g', # 0x17
'gh', # 0x18
'ng', # 0x19
'c', # 0x1a
'ch', # 0x1b
'j', # 0x1c
'jh', # 0x1d
'ny', # 0x1e
'tt', # 0x1f
'tth', # 0x20
'dd', # 0x21
'ddh', # 0x22
'nn', # 0x23
't', # 0x24
'th', # 0x25
'd', # 0x26
'dh', # 0x27
'n', # 0x28
'[?]', # 0x29
'p', # 0x2a
'ph', # 0x2b
'b', # 0x2c
'bh', # 0x2d
'm', # 0x2e
'y', # 0x2f
'r', # 0x30
'rr', # 0x31
'l', # 0x32
'll', # 0x33
'lll', # 0x34
'v', # 0x35
'sh', # 0x36
'ss', # 0x37
's', # 0x38
'h', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'aa', # 0x3e
'i', # 0x3f
'ii', # 0x40
'u', # 0x41
'uu', # 0x42
'R', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'e', # 0x46
'ee', # 0x47
'ai', # 0x48
'', # 0x49
'o', # 0x4a
'oo', # 0x4b
'au', # 0x4c
'', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'+', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'RR', # 0x60
'LL', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'0', # 0x66
'1', # 0x67
'2', # 0x68
'3', # 0x69
'4', # 0x6a
'5', # 0x6b
'6', # 0x6c
'7', # 0x6d
'8', # 0x6e
'9', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'N', # 0x82
'H', # 0x83
'[?]', # 0x84
'a', # 0x85
'aa', # 0x86
'ae', # 0x87
'aae', # 0x88
'i', # 0x89
'ii', # 0x8a
'u', # 0x8b
'uu', # 0x8c
'R', # 0x8d
'RR', # 0x8e
'L', # 0x8f
'LL', # 0x90
'e', # 0x91
'ee', # 0x92
'ai', # 0x93
'o', # 0x94
'oo', # 0x95
'au', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'k', # 0x9a
'kh', # 0x9b
'g', # 0x9c
'gh', # 0x9d
'ng', # 0x9e
'nng', # 0x9f
'c', # 0xa0
'ch', # 0xa1
'j', # 0xa2
'jh', # 0xa3
'ny', # 0xa4
'jny', # 0xa5
'nyj', # 0xa6
'tt', # 0xa7
'tth', # 0xa8
'dd', # 0xa9
'ddh', # 0xaa
'nn', # 0xab
'nndd', # 0xac
't', # 0xad
'th', # 0xae
'd', # 0xaf
'dh', # 0xb0
'n', # 0xb1
'[?]', # 0xb2
'nd', # 0xb3
'p', # 0xb4
'ph', # 0xb5
'b', # 0xb6
'bh', # 0xb7
'm', # 0xb8
'mb', # 0xb9
'y', # 0xba
'r', # 0xbb
'[?]', # 0xbc
'l', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'v', # 0xc0
'sh', # 0xc1
'ss', # 0xc2
's', # 0xc3
'h', # 0xc4
'll', # 0xc5
'f', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'aa', # 0xcf
'ae', # 0xd0
'aae', # 0xd1
'i', # 0xd2
'ii', # 0xd3
'u', # 0xd4
'[?]', # 0xd5
'uu', # 0xd6
'[?]', # 0xd7
'R', # 0xd8
'e', # 0xd9
'ee', # 0xda
'ai', # 0xdb
'o', # 0xdc
'oo', # 0xdd
'au', # 0xde
'L', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'RR', # 0xf2
'LL', # 0xf3
' . ', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x00e = (
'[?]', # 0x00
'k', # 0x01
'kh', # 0x02
'kh', # 0x03
'kh', # 0x04
'kh', # 0x05
'kh', # 0x06
'ng', # 0x07
'cch', # 0x08
'ch', # 0x09
'ch', # 0x0a
'ch', # 0x0b
'ch', # 0x0c
'y', # 0x0d
'd', # 0x0e
't', # 0x0f
'th', # 0x10
'th', # 0x11
'th', # 0x12
'n', # 0x13
'd', # 0x14
't', # 0x15
'th', # 0x16
'th', # 0x17
'th', # 0x18
'n', # 0x19
'b', # 0x1a
'p', # 0x1b
'ph', # 0x1c
'f', # 0x1d
'ph', # 0x1e
'f', # 0x1f
'ph', # 0x20
'm', # 0x21
'y', # 0x22
'r', # 0x23
'R', # 0x24
'l', # 0x25
'L', # 0x26
'w', # 0x27
's', # 0x28
's', # 0x29
's', # 0x2a
'h', # 0x2b
'l', # 0x2c
'`', # 0x2d
'h', # 0x2e
'~', # 0x2f
'a', # 0x30
'a', # 0x31
'aa', # 0x32
'am', # 0x33
'i', # 0x34
'ii', # 0x35
'ue', # 0x36
'uue', # 0x37
'u', # 0x38
'uu', # 0x39
'\'', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'Bh.', # 0x3f
'e', # 0x40
'ae', # 0x41
'o', # 0x42
'ai', # 0x43
'ai', # 0x44
'ao', # 0x45
'+', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'M', # 0x4d
'', # 0x4e
' * ', # 0x4f
'0', # 0x50
'1', # 0x51
'2', # 0x52
'3', # 0x53
'4', # 0x54
'5', # 0x55
'6', # 0x56
'7', # 0x57
'8', # 0x58
'9', # 0x59
' // ', # 0x5a
' /// ', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'k', # 0x81
'kh', # 0x82
'[?]', # 0x83
'kh', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'ng', # 0x87
'ch', # 0x88
'[?]', # 0x89
's', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'ny', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'd', # 0x94
'h', # 0x95
'th', # 0x96
'th', # 0x97
'[?]', # 0x98
'n', # 0x99
'b', # 0x9a
'p', # 0x9b
'ph', # 0x9c
'f', # 0x9d
'ph', # 0x9e
'f', # 0x9f
'[?]', # 0xa0
'm', # 0xa1
'y', # 0xa2
'r', # 0xa3
'[?]', # 0xa4
'l', # 0xa5
'[?]', # 0xa6
'w', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
's', # 0xaa
'h', # 0xab
'[?]', # 0xac
'`', # 0xad
'', # 0xae
'~', # 0xaf
'a', # 0xb0
'', # 0xb1
'aa', # 0xb2
'am', # 0xb3
'i', # 0xb4
'ii', # 0xb5
'y', # 0xb6
'yy', # 0xb7
'u', # 0xb8
'uu', # 0xb9
'[?]', # 0xba
'o', # 0xbb
'l', # 0xbc
'ny', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'e', # 0xc0
'ei', # 0xc1
'o', # 0xc2
'ay', # 0xc3
'ai', # 0xc4
'[?]', # 0xc5
'+', # 0xc6
'[?]', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'M', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'0', # 0xd0
'1', # 0xd1
'2', # 0xd2
'3', # 0xd3
'4', # 0xd4
'5', # 0xd5
'6', # 0xd6
'7', # 0xd7
'8', # 0xd8
'9', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'hn', # 0xdc
'hm', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x00f = (
'AUM', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
' // ', # 0x08
' * ', # 0x09
'', # 0x0a
'-', # 0x0b
' / ', # 0x0c
' / ', # 0x0d
' // ', # 0x0e
' -/ ', # 0x0f
' +/ ', # 0x10
' X/ ', # 0x11
' /XX/ ', # 0x12
' /X/ ', # 0x13
', ', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'0', # 0x20
'1', # 0x21
'2', # 0x22
'3', # 0x23
'4', # 0x24
'5', # 0x25
'6', # 0x26
'7', # 0x27
'8', # 0x28
'9', # 0x29
'.5', # 0x2a
'1.5', # 0x2b
'2.5', # 0x2c
'3.5', # 0x2d
'4.5', # 0x2e
'5.5', # 0x2f
'6.5', # 0x30
'7.5', # 0x31
'8.5', # 0x32
'-.5', # 0x33
'+', # 0x34
'*', # 0x35
'^', # 0x36
'_', # 0x37
'', # 0x38
'~', # 0x39
'[?]', # 0x3a
']', # 0x3b
'[[', # 0x3c
']]', # 0x3d
'', # 0x3e
'', # 0x3f
'k', # 0x40
'kh', # 0x41
'g', # 0x42
'gh', # 0x43
'ng', # 0x44
'c', # 0x45
'ch', # 0x46
'j', # 0x47
'[?]', # 0x48
'ny', # 0x49
'tt', # 0x4a
'tth', # 0x4b
'dd', # 0x4c
'ddh', # 0x4d
'nn', # 0x4e
't', # 0x4f
'th', # 0x50
'd', # 0x51
'dh', # 0x52
'n', # 0x53
'p', # 0x54
'ph', # 0x55
'b', # 0x56
'bh', # 0x57
'm', # 0x58
'ts', # 0x59
'tsh', # 0x5a
'dz', # 0x5b
'dzh', # 0x5c
'w', # 0x5d
'zh', # 0x5e
'z', # 0x5f
'\'', # 0x60
'y', # 0x61
'r', # 0x62
'l', # 0x63
'sh', # 0x64
'ssh', # 0x65
's', # 0x66
'h', # 0x67
'a', # 0x68
'kss', # 0x69
'r', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'aa', # 0x71
'i', # 0x72
'ii', # 0x73
'u', # 0x74
'uu', # 0x75
'R', # 0x76
'RR', # 0x77
'L', # 0x78
'LL', # 0x79
'e', # 0x7a
'ee', # 0x7b
'o', # 0x7c
'oo', # 0x7d
'M', # 0x7e
'H', # 0x7f
'i', # 0x80
'ii', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'k', # 0x90
'kh', # 0x91
'g', # 0x92
'gh', # 0x93
'ng', # 0x94
'c', # 0x95
'ch', # 0x96
'j', # 0x97
'[?]', # 0x98
'ny', # 0x99
'tt', # 0x9a
'tth', # 0x9b
'dd', # 0x9c
'ddh', # 0x9d
'nn', # 0x9e
't', # 0x9f
'th', # 0xa0
'd', # 0xa1
'dh', # 0xa2
'n', # 0xa3
'p', # 0xa4
'ph', # 0xa5
'b', # 0xa6
'bh', # 0xa7
'm', # 0xa8
'ts', # 0xa9
'tsh', # 0xaa
'dz', # 0xab
'dzh', # 0xac
'w', # 0xad
'zh', # 0xae
'z', # 0xaf
'\'', # 0xb0
'y', # 0xb1
'r', # 0xb2
'l', # 0xb3
'sh', # 0xb4
'ss', # 0xb5
's', # 0xb6
'h', # 0xb7
'a', # 0xb8
'kss', # 0xb9
'w', # 0xba
'y', # 0xbb
'r', # 0xbc
'[?]', # 0xbd
'X', # 0xbe
' :X: ', # 0xbf
' /O/ ', # 0xc0
' /o/ ', # 0xc1
' \\o\\ ', # 0xc2
' (O) ', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x010 = (
'k', # 0x00
'kh', # 0x01
'g', # 0x02
'gh', # 0x03
'ng', # 0x04
'c', # 0x05
'ch', # 0x06
'j', # 0x07
'jh', # 0x08
'ny', # 0x09
'nny', # 0x0a
'tt', # 0x0b
'tth', # 0x0c
'dd', # 0x0d
'ddh', # 0x0e
'nn', # 0x0f
'tt', # 0x10
'th', # 0x11
'd', # 0x12
'dh', # 0x13
'n', # 0x14
'p', # 0x15
'ph', # 0x16
'b', # 0x17
'bh', # 0x18
'm', # 0x19
'y', # 0x1a
'r', # 0x1b
'l', # 0x1c
'w', # 0x1d
's', # 0x1e
'h', # 0x1f
'll', # 0x20
'a', # 0x21
'[?]', # 0x22
'i', # 0x23
'ii', # 0x24
'u', # 0x25
'uu', # 0x26
'e', # 0x27
'[?]', # 0x28
'o', # 0x29
'au', # 0x2a
'[?]', # 0x2b
'aa', # 0x2c
'i', # 0x2d
'ii', # 0x2e
'u', # 0x2f
'uu', # 0x30
'e', # 0x31
'ai', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
'N', # 0x36
'\'', # 0x37
':', # 0x38
'', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'0', # 0x40
'1', # 0x41
'2', # 0x42
'3', # 0x43
'4', # 0x44
'5', # 0x45
'6', # 0x46
'7', # 0x47
'8', # 0x48
'9', # 0x49
' / ', # 0x4a
' // ', # 0x4b
'n*', # 0x4c
'r*', # 0x4d
'l*', # 0x4e
'e*', # 0x4f
'sh', # 0x50
'ss', # 0x51
'R', # 0x52
'RR', # 0x53
'L', # 0x54
'LL', # 0x55
'R', # 0x56
'RR', # 0x57
'L', # 0x58
'LL', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'A', # 0xa0
'B', # 0xa1
'G', # 0xa2
'D', # 0xa3
'E', # 0xa4
'V', # 0xa5
'Z', # 0xa6
'T`', # 0xa7
'I', # 0xa8
'K', # 0xa9
'L', # 0xaa
'M', # 0xab
'N', # 0xac
'O', # 0xad
'P', # 0xae
'Zh', # 0xaf
'R', # 0xb0
'S', # 0xb1
'T', # 0xb2
'U', # 0xb3
'P`', # 0xb4
'K`', # 0xb5
'G\'', # 0xb6
'Q', # 0xb7
'Sh', # 0xb8
'Ch`', # 0xb9
'C`', # 0xba
'Z\'', # 0xbb
'C', # 0xbc
'Ch', # 0xbd
'X', # 0xbe
'J', # 0xbf
'H', # 0xc0
'E', # 0xc1
'Y', # 0xc2
'W', # 0xc3
'Xh', # 0xc4
'OE', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'a', # 0xd0
'b', # 0xd1
'g', # 0xd2
'd', # 0xd3
'e', # 0xd4
'v', # 0xd5
'z', # 0xd6
't`', # 0xd7
'i', # 0xd8
'k', # 0xd9
'l', # 0xda
'm', # 0xdb
'n', # 0xdc
'o', # 0xdd
'p', # 0xde
'zh', # 0xdf
'r', # 0xe0
's', # 0xe1
't', # 0xe2
'u', # 0xe3
'p`', # 0xe4
'k`', # 0xe5
'g\'', # 0xe6
'q', # 0xe7
'sh', # 0xe8
'ch`', # 0xe9
'c`', # 0xea
'z\'', # 0xeb
'c', # 0xec
'ch', # 0xed
'x', # 0xee
'j', # 0xef
'h', # 0xf0
'e', # 0xf1
'y', # 0xf2
'w', # 0xf3
'xh', # 0xf4
'oe', # 0xf5
'f', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
' // ', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x011 = (
'g', # 0x00
'gg', # 0x01
'n', # 0x02
'd', # 0x03
'dd', # 0x04
'r', # 0x05
'm', # 0x06
'b', # 0x07
'bb', # 0x08
's', # 0x09
'ss', # 0x0a
'', # 0x0b
'j', # 0x0c
'jj', # 0x0d
'c', # 0x0e
'k', # 0x0f
't', # 0x10
'p', # 0x11
'h', # 0x12
'ng', # 0x13
'nn', # 0x14
'nd', # 0x15
'nb', # 0x16
'dg', # 0x17
'rn', # 0x18
'rr', # 0x19
'rh', # 0x1a
'rN', # 0x1b
'mb', # 0x1c
'mN', # 0x1d
'bg', # 0x1e
'bn', # 0x1f
'', # 0x20
'bs', # 0x21
'bsg', # 0x22
'bst', # 0x23
'bsb', # 0x24
'bss', # 0x25
'bsj', # 0x26
'bj', # 0x27
'bc', # 0x28
'bt', # 0x29
'bp', # 0x2a
'bN', # 0x2b
'bbN', # 0x2c
'sg', # 0x2d
'sn', # 0x2e
'sd', # 0x2f
'sr', # 0x30
'sm', # 0x31
'sb', # 0x32
'sbg', # 0x33
'sss', # 0x34
's', # 0x35
'sj', # 0x36
'sc', # 0x37
'sk', # 0x38
'st', # 0x39
'sp', # 0x3a
'sh', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'Z', # 0x40
'g', # 0x41
'd', # 0x42
'm', # 0x43
'b', # 0x44
's', # 0x45
'Z', # 0x46
'', # 0x47
'j', # 0x48
'c', # 0x49
't', # 0x4a
'p', # 0x4b
'N', # 0x4c
'j', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'ck', # 0x52
'ch', # 0x53
'', # 0x54
'', # 0x55
'pb', # 0x56
'pN', # 0x57
'hh', # 0x58
'Q', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'', # 0x5f
'', # 0x60
'a', # 0x61
'ae', # 0x62
'ya', # 0x63
'yae', # 0x64
'eo', # 0x65
'e', # 0x66
'yeo', # 0x67
'ye', # 0x68
'o', # 0x69
'wa', # 0x6a
'wae', # 0x6b
'oe', # 0x6c
'yo', # 0x6d
'u', # 0x6e
'weo', # 0x6f
'we', # 0x70
'wi', # 0x71
'yu', # 0x72
'eu', # 0x73
'yi', # 0x74
'i', # 0x75
'a-o', # 0x76
'a-u', # 0x77
'ya-o', # 0x78
'ya-yo', # 0x79
'eo-o', # 0x7a
'eo-u', # 0x7b
'eo-eu', # 0x7c
'yeo-o', # 0x7d
'yeo-u', # 0x7e
'o-eo', # 0x7f
'o-e', # 0x80
'o-ye', # 0x81
'o-o', # 0x82
'o-u', # 0x83
'yo-ya', # 0x84
'yo-yae', # 0x85
'yo-yeo', # 0x86
'yo-o', # 0x87
'yo-i', # 0x88
'u-a', # 0x89
'u-ae', # 0x8a
'u-eo-eu', # 0x8b
'u-ye', # 0x8c
'u-u', # 0x8d
'yu-a', # 0x8e
'yu-eo', # 0x8f
'yu-e', # 0x90
'yu-yeo', # 0x91
'yu-ye', # 0x92
'yu-u', # 0x93
'yu-i', # 0x94
'eu-u', # 0x95
'eu-eu', # 0x96
'yi-u', # 0x97
'i-a', # 0x98
'i-ya', # 0x99
'i-o', # 0x9a
'i-u', # 0x9b
'i-eu', # 0x9c
'i-U', # 0x9d
'U', # 0x9e
'U-eo', # 0x9f
'U-u', # 0xa0
'U-i', # 0xa1
'UU', # 0xa2
'[?]', # 0xa3
'[?]', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'g', # 0xa8
'gg', # 0xa9
'gs', # 0xaa
'n', # 0xab
'nj', # 0xac
'nh', # 0xad
'd', # 0xae
'l', # 0xaf
'lg', # 0xb0
'lm', # 0xb1
'lb', # 0xb2
'ls', # 0xb3
'lt', # 0xb4
'lp', # 0xb5
'lh', # 0xb6
'm', # 0xb7
'b', # 0xb8
'bs', # 0xb9
's', # 0xba
'ss', # 0xbb
'ng', # 0xbc
'j', # 0xbd
'c', # 0xbe
'k', # 0xbf
't', # 0xc0
'p', # 0xc1
'h', # 0xc2
'gl', # 0xc3
'gsg', # 0xc4
'ng', # 0xc5
'nd', # 0xc6
'ns', # 0xc7
'nZ', # 0xc8
'nt', # 0xc9
'dg', # 0xca
'tl', # 0xcb
'lgs', # 0xcc
'ln', # 0xcd
'ld', # 0xce
'lth', # 0xcf
'll', # 0xd0
'lmg', # 0xd1
'lms', # 0xd2
'lbs', # 0xd3
'lbh', # 0xd4
'rNp', # 0xd5
'lss', # 0xd6
'lZ', # 0xd7
'lk', # 0xd8
'lQ', # 0xd9
'mg', # 0xda
'ml', # 0xdb
'mb', # 0xdc
'ms', # 0xdd
'mss', # 0xde
'mZ', # 0xdf
'mc', # 0xe0
'mh', # 0xe1
'mN', # 0xe2
'bl', # 0xe3
'bp', # 0xe4
'ph', # 0xe5
'pN', # 0xe6
'sg', # 0xe7
'sd', # 0xe8
'sl', # 0xe9
'sb', # 0xea
'Z', # 0xeb
'g', # 0xec
'ss', # 0xed
'', # 0xee
'kh', # 0xef
'N', # 0xf0
'Ns', # 0xf1
'NZ', # 0xf2
'pb', # 0xf3
'pN', # 0xf4
'hn', # 0xf5
'hl', # 0xf6
'hm', # 0xf7
'hb', # 0xf8
'Q', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x012 = (
'ha', # 0x00
'hu', # 0x01
'hi', # 0x02
'haa', # 0x03
'hee', # 0x04
'he', # 0x05
'ho', # 0x06
'[?]', # 0x07
'la', # 0x08
'lu', # 0x09
'li', # 0x0a
'laa', # 0x0b
'lee', # 0x0c
'le', # 0x0d
'lo', # 0x0e
'lwa', # 0x0f
'hha', # 0x10
'hhu', # 0x11
'hhi', # 0x12
'hhaa', # 0x13
'hhee', # 0x14
'hhe', # 0x15
'hho', # 0x16
'hhwa', # 0x17
'ma', # 0x18
'mu', # 0x19
'mi', # 0x1a
'maa', # 0x1b
'mee', # 0x1c
'me', # 0x1d
'mo', # 0x1e
'mwa', # 0x1f
'sza', # 0x20
'szu', # 0x21
'szi', # 0x22
'szaa', # 0x23
'szee', # 0x24
'sze', # 0x25
'szo', # 0x26
'szwa', # 0x27
'ra', # 0x28
'ru', # 0x29
'ri', # 0x2a
'raa', # 0x2b
'ree', # 0x2c
're', # 0x2d
'ro', # 0x2e
'rwa', # 0x2f
'sa', # 0x30
'su', # 0x31
'si', # 0x32
'saa', # 0x33
'see', # 0x34
'se', # 0x35
'so', # 0x36
'swa', # 0x37
'sha', # 0x38
'shu', # 0x39
'shi', # 0x3a
'shaa', # 0x3b
'shee', # 0x3c
'she', # 0x3d
'sho', # 0x3e
'shwa', # 0x3f
'qa', # 0x40
'qu', # 0x41
'qi', # 0x42
'qaa', # 0x43
'qee', # 0x44
'qe', # 0x45
'qo', # 0x46
'[?]', # 0x47
'qwa', # 0x48
'[?]', # 0x49
'qwi', # 0x4a
'qwaa', # 0x4b
'qwee', # 0x4c
'qwe', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'qha', # 0x50
'qhu', # 0x51
'qhi', # 0x52
'qhaa', # 0x53
'qhee', # 0x54
'qhe', # 0x55
'qho', # 0x56
'[?]', # 0x57
'qhwa', # 0x58
'[?]', # 0x59
'qhwi', # 0x5a
'qhwaa', # 0x5b
'qhwee', # 0x5c
'qhwe', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'ba', # 0x60
'bu', # 0x61
'bi', # 0x62
'baa', # 0x63
'bee', # 0x64
'be', # 0x65
'bo', # 0x66
'bwa', # 0x67
'va', # 0x68
'vu', # 0x69
'vi', # 0x6a
'vaa', # 0x6b
'vee', # 0x6c
've', # 0x6d
'vo', # 0x6e
'vwa', # 0x6f
'ta', # 0x70
'tu', # 0x71
'ti', # 0x72
'taa', # 0x73
'tee', # 0x74
'te', # 0x75
'to', # 0x76
'twa', # 0x77
'ca', # 0x78
'cu', # 0x79
'ci', # 0x7a
'caa', # 0x7b
'cee', # 0x7c
'ce', # 0x7d
'co', # 0x7e
'cwa', # 0x7f
'xa', # 0x80
'xu', # 0x81
'xi', # 0x82
'xaa', # 0x83
'xee', # 0x84
'xe', # 0x85
'xo', # 0x86
'[?]', # 0x87
'xwa', # 0x88
'[?]', # 0x89
'xwi', # 0x8a
'xwaa', # 0x8b
'xwee', # 0x8c
'xwe', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'na', # 0x90
'nu', # 0x91
'ni', # 0x92
'naa', # 0x93
'nee', # 0x94
'ne', # 0x95
'no', # 0x96
'nwa', # 0x97
'nya', # 0x98
'nyu', # 0x99
'nyi', # 0x9a
'nyaa', # 0x9b
'nyee', # 0x9c
'nye', # 0x9d
'nyo', # 0x9e
'nywa', # 0x9f
'\'a', # 0xa0
'\'u', # 0xa1
'[?]', # 0xa2
'\'aa', # 0xa3
'\'ee', # 0xa4
'\'e', # 0xa5
'\'o', # 0xa6
'\'wa', # 0xa7
'ka', # 0xa8
'ku', # 0xa9
'ki', # 0xaa
'kaa', # 0xab
'kee', # 0xac
'ke', # 0xad
'ko', # 0xae
'[?]', # 0xaf
'kwa', # 0xb0
'[?]', # 0xb1
'kwi', # 0xb2
'kwaa', # 0xb3
'kwee', # 0xb4
'kwe', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'kxa', # 0xb8
'kxu', # 0xb9
'kxi', # 0xba
'kxaa', # 0xbb
'kxee', # 0xbc
'kxe', # 0xbd
'kxo', # 0xbe
'[?]', # 0xbf
'kxwa', # 0xc0
'[?]', # 0xc1
'kxwi', # 0xc2
'kxwaa', # 0xc3
'kxwee', # 0xc4
'kxwe', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'wa', # 0xc8
'wu', # 0xc9
'wi', # 0xca
'waa', # 0xcb
'wee', # 0xcc
'we', # 0xcd
'wo', # 0xce
'[?]', # 0xcf
'`a', # 0xd0
'`u', # 0xd1
'`i', # 0xd2
'`aa', # 0xd3
'`ee', # 0xd4
'`e', # 0xd5
'`o', # 0xd6
'[?]', # 0xd7
'za', # 0xd8
'zu', # 0xd9
'zi', # 0xda
'zaa', # 0xdb
'zee', # 0xdc
'ze', # 0xdd
'zo', # 0xde
'zwa', # 0xdf
'zha', # 0xe0
'zhu', # 0xe1
'zhi', # 0xe2
'zhaa', # 0xe3
'zhee', # 0xe4
'zhe', # 0xe5
'zho', # 0xe6
'zhwa', # 0xe7
'ya', # 0xe8
'yu', # 0xe9
'yi', # 0xea
'yaa', # 0xeb
'yee', # 0xec
'ye', # 0xed
'yo', # 0xee
'[?]', # 0xef
'da', # 0xf0
'du', # 0xf1
'di', # 0xf2
'daa', # 0xf3
'dee', # 0xf4
'de', # 0xf5
'do', # 0xf6
'dwa', # 0xf7
'dda', # 0xf8
'ddu', # 0xf9
'ddi', # 0xfa
'ddaa', # 0xfb
'ddee', # 0xfc
'dde', # 0xfd
'ddo', # 0xfe
'ddwa', # 0xff
)
x013 = (
'ja', # 0x00
'ju', # 0x01
'ji', # 0x02
'jaa', # 0x03
'jee', # 0x04
'je', # 0x05
'jo', # 0x06
'jwa', # 0x07
'ga', # 0x08
'gu', # 0x09
'gi', # 0x0a
'gaa', # 0x0b
'gee', # 0x0c
'ge', # 0x0d
'go', # 0x0e
'[?]', # 0x0f
'gwa', # 0x10
'[?]', # 0x11
'gwi', # 0x12
'gwaa', # 0x13
'gwee', # 0x14
'gwe', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'gga', # 0x18
'ggu', # 0x19
'ggi', # 0x1a
'ggaa', # 0x1b
'ggee', # 0x1c
'gge', # 0x1d
'ggo', # 0x1e
'[?]', # 0x1f
'tha', # 0x20
'thu', # 0x21
'thi', # 0x22
'thaa', # 0x23
'thee', # 0x24
'the', # 0x25
'tho', # 0x26
'thwa', # 0x27
'cha', # 0x28
'chu', # 0x29
'chi', # 0x2a
'chaa', # 0x2b
'chee', # 0x2c
'che', # 0x2d
'cho', # 0x2e
'chwa', # 0x2f
'pha', # 0x30
'phu', # 0x31
'phi', # 0x32
'phaa', # 0x33
'phee', # 0x34
'phe', # 0x35
'pho', # 0x36
'phwa', # 0x37
'tsa', # 0x38
'tsu', # 0x39
'tsi', # 0x3a
'tsaa', # 0x3b
'tsee', # 0x3c
'tse', # 0x3d
'tso', # 0x3e
'tswa', # 0x3f
'tza', # 0x40
'tzu', # 0x41
'tzi', # 0x42
'tzaa', # 0x43
'tzee', # 0x44
'tze', # 0x45
'tzo', # 0x46
'[?]', # 0x47
'fa', # 0x48
'fu', # 0x49
'fi', # 0x4a
'faa', # 0x4b
'fee', # 0x4c
'fe', # 0x4d
'fo', # 0x4e
'fwa', # 0x4f
'pa', # 0x50
'pu', # 0x51
'pi', # 0x52
'paa', # 0x53
'pee', # 0x54
'pe', # 0x55
'po', # 0x56
'pwa', # 0x57
'rya', # 0x58
'mya', # 0x59
'fya', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
' ', # 0x61
'.', # 0x62
',', # 0x63
';', # 0x64
':', # 0x65
':: ', # 0x66
'?', # 0x67
'//', # 0x68
'1', # 0x69
'2', # 0x6a
'3', # 0x6b
'4', # 0x6c
'5', # 0x6d
'6', # 0x6e
'7', # 0x6f
'8', # 0x70
'9', # 0x71
'10+', # 0x72
'20+', # 0x73
'30+', # 0x74
'40+', # 0x75
'50+', # 0x76
'60+', # 0x77
'70+', # 0x78
'80+', # 0x79
'90+', # 0x7a
'100+', # 0x7b
'10,000+', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'a', # 0xa0
'e', # 0xa1
'i', # 0xa2
'o', # 0xa3
'u', # 0xa4
'v', # 0xa5
'ga', # 0xa6
'ka', # 0xa7
'ge', # 0xa8
'gi', # 0xa9
'go', # 0xaa
'gu', # 0xab
'gv', # 0xac
'ha', # 0xad
'he', # 0xae
'hi', # 0xaf
'ho', # 0xb0
'hu', # 0xb1
'hv', # 0xb2
'la', # 0xb3
'le', # 0xb4
'li', # 0xb5
'lo', # 0xb6
'lu', # 0xb7
'lv', # 0xb8
'ma', # 0xb9
'me', # 0xba
'mi', # 0xbb
'mo', # 0xbc
'mu', # 0xbd
'na', # 0xbe
'hna', # 0xbf
'nah', # 0xc0
'ne', # 0xc1
'ni', # 0xc2
'no', # 0xc3
'nu', # 0xc4
'nv', # 0xc5
'qua', # 0xc6
'que', # 0xc7
'qui', # 0xc8
'quo', # 0xc9
'quu', # 0xca
'quv', # 0xcb
'sa', # 0xcc
's', # 0xcd
'se', # 0xce
'si', # 0xcf
'so', # 0xd0
'su', # 0xd1
'sv', # 0xd2
'da', # 0xd3
'ta', # 0xd4
'de', # 0xd5
'te', # 0xd6
'di', # 0xd7
'ti', # 0xd8
'do', # 0xd9
'du', # 0xda
'dv', # 0xdb
'dla', # 0xdc
'tla', # 0xdd
'tle', # 0xde
'tli', # 0xdf
'tlo', # 0xe0
'tlu', # 0xe1
'tlv', # 0xe2
'tsa', # 0xe3
'tse', # 0xe4
'tsi', # 0xe5
'tso', # 0xe6
'tsu', # 0xe7
'tsv', # 0xe8
'wa', # 0xe9
'we', # 0xea
'wi', # 0xeb
'wo', # 0xec
'wu', # 0xed
'wv', # 0xee
'ya', # 0xef
'ye', # 0xf0
'yi', # 0xf1
'yo', # 0xf2
'yu', # 0xf3
'yv', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x014 = (
'[?]', # 0x00
'e', # 0x01
'aai', # 0x02
'i', # 0x03
'ii', # 0x04
'o', # 0x05
'oo', # 0x06
'oo', # 0x07
'ee', # 0x08
'i', # 0x09
'a', # 0x0a
'aa', # 0x0b
'we', # 0x0c
'we', # 0x0d
'wi', # 0x0e
'wi', # 0x0f
'wii', # 0x10
'wii', # 0x11
'wo', # 0x12
'wo', # 0x13
'woo', # 0x14
'woo', # 0x15
'woo', # 0x16
'wa', # 0x17
'wa', # 0x18
'waa', # 0x19
'waa', # 0x1a
'waa', # 0x1b
'ai', # 0x1c
'w', # 0x1d
'\'', # 0x1e
't', # 0x1f
'k', # 0x20
'sh', # 0x21
's', # 0x22
'n', # 0x23
'w', # 0x24
'n', # 0x25
'[?]', # 0x26
'w', # 0x27
'c', # 0x28
'?', # 0x29
'l', # 0x2a
'en', # 0x2b
'in', # 0x2c
'on', # 0x2d
'an', # 0x2e
'pe', # 0x2f
'paai', # 0x30
'pi', # 0x31
'pii', # 0x32
'po', # 0x33
'poo', # 0x34
'poo', # 0x35
'hee', # 0x36
'hi', # 0x37
'pa', # 0x38
'paa', # 0x39
'pwe', # 0x3a
'pwe', # 0x3b
'pwi', # 0x3c
'pwi', # 0x3d
'pwii', # 0x3e
'pwii', # 0x3f
'pwo', # 0x40
'pwo', # 0x41
'pwoo', # 0x42
'pwoo', # 0x43
'pwa', # 0x44
'pwa', # 0x45
'pwaa', # 0x46
'pwaa', # 0x47
'pwaa', # 0x48
'p', # 0x49
'p', # 0x4a
'h', # 0x4b
'te', # 0x4c
'taai', # 0x4d
'ti', # 0x4e
'tii', # 0x4f
'to', # 0x50
'too', # 0x51
'too', # 0x52
'dee', # 0x53
'di', # 0x54
'ta', # 0x55
'taa', # 0x56
'twe', # 0x57
'twe', # 0x58
'twi', # 0x59
'twi', # 0x5a
'twii', # 0x5b
'twii', # 0x5c
'two', # 0x5d
'two', # 0x5e
'twoo', # 0x5f
'twoo', # 0x60
'twa', # 0x61
'twa', # 0x62
'twaa', # 0x63
'twaa', # 0x64
'twaa', # 0x65
't', # 0x66
'tte', # 0x67
'tti', # 0x68
'tto', # 0x69
'tta', # 0x6a
'ke', # 0x6b
'kaai', # 0x6c
'ki', # 0x6d
'kii', # 0x6e
'ko', # 0x6f
'koo', # 0x70
'koo', # 0x71
'ka', # 0x72
'kaa', # 0x73
'kwe', # 0x74
'kwe', # 0x75
'kwi', # 0x76
'kwi', # 0x77
'kwii', # 0x78
'kwii', # 0x79
'kwo', # 0x7a
'kwo', # 0x7b
'kwoo', # 0x7c
'kwoo', # 0x7d
'kwa', # 0x7e
'kwa', # 0x7f
'kwaa', # 0x80
'kwaa', # 0x81
'kwaa', # 0x82
'k', # 0x83
'kw', # 0x84
'keh', # 0x85
'kih', # 0x86
'koh', # 0x87
'kah', # 0x88
'ce', # 0x89
'caai', # 0x8a
'ci', # 0x8b
'cii', # 0x8c
'co', # 0x8d
'coo', # 0x8e
'coo', # 0x8f
'ca', # 0x90
'caa', # 0x91
'cwe', # 0x92
'cwe', # 0x93
'cwi', # 0x94
'cwi', # 0x95
'cwii', # 0x96
'cwii', # 0x97
'cwo', # 0x98
'cwo', # 0x99
'cwoo', # 0x9a
'cwoo', # 0x9b
'cwa', # 0x9c
'cwa', # 0x9d
'cwaa', # 0x9e
'cwaa', # 0x9f
'cwaa', # 0xa0
'c', # 0xa1
'th', # 0xa2
'me', # 0xa3
'maai', # 0xa4
'mi', # 0xa5
'mii', # 0xa6
'mo', # 0xa7
'moo', # 0xa8
'moo', # 0xa9
'ma', # 0xaa
'maa', # 0xab
'mwe', # 0xac
'mwe', # 0xad
'mwi', # 0xae
'mwi', # 0xaf
'mwii', # 0xb0
'mwii', # 0xb1
'mwo', # 0xb2
'mwo', # 0xb3
'mwoo', # 0xb4
'mwoo', # 0xb5
'mwa', # 0xb6
'mwa', # 0xb7
'mwaa', # 0xb8
'mwaa', # 0xb9
'mwaa', # 0xba
'm', # 0xbb
'm', # 0xbc
'mh', # 0xbd
'm', # 0xbe
'm', # 0xbf
'ne', # 0xc0
'naai', # 0xc1
'ni', # 0xc2
'nii', # 0xc3
'no', # 0xc4
'noo', # 0xc5
'noo', # 0xc6
'na', # 0xc7
'naa', # 0xc8
'nwe', # 0xc9
'nwe', # 0xca
'nwa', # 0xcb
'nwa', # 0xcc
'nwaa', # 0xcd
'nwaa', # 0xce
'nwaa', # 0xcf
'n', # 0xd0
'ng', # 0xd1
'nh', # 0xd2
'le', # 0xd3
'laai', # 0xd4
'li', # 0xd5
'lii', # 0xd6
'lo', # 0xd7
'loo', # 0xd8
'loo', # 0xd9
'la', # 0xda
'laa', # 0xdb
'lwe', # 0xdc
'lwe', # 0xdd
'lwi', # 0xde
'lwi', # 0xdf
'lwii', # 0xe0
'lwii', # 0xe1
'lwo', # 0xe2
'lwo', # 0xe3
'lwoo', # 0xe4
'lwoo', # 0xe5
'lwa', # 0xe6
'lwa', # 0xe7
'lwaa', # 0xe8
'lwaa', # 0xe9
'l', # 0xea
'l', # 0xeb
'l', # 0xec
'se', # 0xed
'saai', # 0xee
'si', # 0xef
'sii', # 0xf0
'so', # 0xf1
'soo', # 0xf2
'soo', # 0xf3
'sa', # 0xf4
'saa', # 0xf5
'swe', # 0xf6
'swe', # 0xf7
'swi', # 0xf8
'swi', # 0xf9
'swii', # 0xfa
'swii', # 0xfb
'swo', # 0xfc
'swo', # 0xfd
'swoo', # 0xfe
'swoo', # 0xff
)
x015 = (
'swa', # 0x00
'swa', # 0x01
'swaa', # 0x02
'swaa', # 0x03
'swaa', # 0x04
's', # 0x05
's', # 0x06
'sw', # 0x07
's', # 0x08
'sk', # 0x09
'skw', # 0x0a
'sW', # 0x0b
'spwa', # 0x0c
'stwa', # 0x0d
'skwa', # 0x0e
'scwa', # 0x0f
'she', # 0x10
'shi', # 0x11
'shii', # 0x12
'sho', # 0x13
'shoo', # 0x14
'sha', # 0x15
'shaa', # 0x16
'shwe', # 0x17
'shwe', # 0x18
'shwi', # 0x19
'shwi', # 0x1a
'shwii', # 0x1b
'shwii', # 0x1c
'shwo', # 0x1d
'shwo', # 0x1e
'shwoo', # 0x1f
'shwoo', # 0x20
'shwa', # 0x21
'shwa', # 0x22
'shwaa', # 0x23
'shwaa', # 0x24
'sh', # 0x25
'ye', # 0x26
'yaai', # 0x27
'yi', # 0x28
'yii', # 0x29
'yo', # 0x2a
'yoo', # 0x2b
'yoo', # 0x2c
'ya', # 0x2d
'yaa', # 0x2e
'ywe', # 0x2f
'ywe', # 0x30
'ywi', # 0x31
'ywi', # 0x32
'ywii', # 0x33
'ywii', # 0x34
'ywo', # 0x35
'ywo', # 0x36
'ywoo', # 0x37
'ywoo', # 0x38
'ywa', # 0x39
'ywa', # 0x3a
'ywaa', # 0x3b
'ywaa', # 0x3c
'ywaa', # 0x3d
'y', # 0x3e
'y', # 0x3f
'y', # 0x40
'yi', # 0x41
're', # 0x42
're', # 0x43
'le', # 0x44
'raai', # 0x45
'ri', # 0x46
'rii', # 0x47
'ro', # 0x48
'roo', # 0x49
'lo', # 0x4a
'ra', # 0x4b
'raa', # 0x4c
'la', # 0x4d
'rwaa', # 0x4e
'rwaa', # 0x4f
'r', # 0x50
'r', # 0x51
'r', # 0x52
'fe', # 0x53
'faai', # 0x54
'fi', # 0x55
'fii', # 0x56
'fo', # 0x57
'foo', # 0x58
'fa', # 0x59
'faa', # 0x5a
'fwaa', # 0x5b
'fwaa', # 0x5c
'f', # 0x5d
'the', # 0x5e
'the', # 0x5f
'thi', # 0x60
'thi', # 0x61
'thii', # 0x62
'thii', # 0x63
'tho', # 0x64
'thoo', # 0x65
'tha', # 0x66
'thaa', # 0x67
'thwaa', # 0x68
'thwaa', # 0x69
'th', # 0x6a
'tthe', # 0x6b
'tthi', # 0x6c
'ttho', # 0x6d
'ttha', # 0x6e
'tth', # 0x6f
'tye', # 0x70
'tyi', # 0x71
'tyo', # 0x72
'tya', # 0x73
'he', # 0x74
'hi', # 0x75
'hii', # 0x76
'ho', # 0x77
'hoo', # 0x78
'ha', # 0x79
'haa', # 0x7a
'h', # 0x7b
'h', # 0x7c
'hk', # 0x7d
'qaai', # 0x7e
'qi', # 0x7f
'qii', # 0x80
'qo', # 0x81
'qoo', # 0x82
'qa', # 0x83
'qaa', # 0x84
'q', # 0x85
'tlhe', # 0x86
'tlhi', # 0x87
'tlho', # 0x88
'tlha', # 0x89
're', # 0x8a
'ri', # 0x8b
'ro', # 0x8c
'ra', # 0x8d
'ngaai', # 0x8e
'ngi', # 0x8f
'ngii', # 0x90
'ngo', # 0x91
'ngoo', # 0x92
'nga', # 0x93
'ngaa', # 0x94
'ng', # 0x95
'nng', # 0x96
'she', # 0x97
'shi', # 0x98
'sho', # 0x99
'sha', # 0x9a
'the', # 0x9b
'thi', # 0x9c
'tho', # 0x9d
'tha', # 0x9e
'th', # 0x9f
'lhi', # 0xa0
'lhii', # 0xa1
'lho', # 0xa2
'lhoo', # 0xa3
'lha', # 0xa4
'lhaa', # 0xa5
'lh', # 0xa6
'the', # 0xa7
'thi', # 0xa8
'thii', # 0xa9
'tho', # 0xaa
'thoo', # 0xab
'tha', # 0xac
'thaa', # 0xad
'th', # 0xae
'b', # 0xaf
'e', # 0xb0
'i', # 0xb1
'o', # 0xb2
'a', # 0xb3
'we', # 0xb4
'wi', # 0xb5
'wo', # 0xb6
'wa', # 0xb7
'ne', # 0xb8
'ni', # 0xb9
'no', # 0xba
'na', # 0xbb
'ke', # 0xbc
'ki', # 0xbd
'ko', # 0xbe
'ka', # 0xbf
'he', # 0xc0
'hi', # 0xc1
'ho', # 0xc2
'ha', # 0xc3
'ghu', # 0xc4
'gho', # 0xc5
'ghe', # 0xc6
'ghee', # 0xc7
'ghi', # 0xc8
'gha', # 0xc9
'ru', # 0xca
'ro', # 0xcb
're', # 0xcc
'ree', # 0xcd
'ri', # 0xce
'ra', # 0xcf
'wu', # 0xd0
'wo', # 0xd1
'we', # 0xd2
'wee', # 0xd3
'wi', # 0xd4
'wa', # 0xd5
'hwu', # 0xd6
'hwo', # 0xd7
'hwe', # 0xd8
'hwee', # 0xd9
'hwi', # 0xda
'hwa', # 0xdb
'thu', # 0xdc
'tho', # 0xdd
'the', # 0xde
'thee', # 0xdf
'thi', # 0xe0
'tha', # 0xe1
'ttu', # 0xe2
'tto', # 0xe3
'tte', # 0xe4
'ttee', # 0xe5
'tti', # 0xe6
'tta', # 0xe7
'pu', # 0xe8
'po', # 0xe9
'pe', # 0xea
'pee', # 0xeb
'pi', # 0xec
'pa', # 0xed
'p', # 0xee
'gu', # 0xef
'go', # 0xf0
'ge', # 0xf1
'gee', # 0xf2
'gi', # 0xf3
'ga', # 0xf4
'khu', # 0xf5
'kho', # 0xf6
'khe', # 0xf7
'khee', # 0xf8
'khi', # 0xf9
'kha', # 0xfa
'kku', # 0xfb
'kko', # 0xfc
'kke', # 0xfd
'kkee', # 0xfe
'kki', # 0xff
)
x016 = (
'kka', # 0x00
'kk', # 0x01
'nu', # 0x02
'no', # 0x03
'ne', # 0x04
'nee', # 0x05
'ni', # 0x06
'na', # 0x07
'mu', # 0x08
'mo', # 0x09
'me', # 0x0a
'mee', # 0x0b
'mi', # 0x0c
'ma', # 0x0d
'yu', # 0x0e
'yo', # 0x0f
'ye', # 0x10
'yee', # 0x11
'yi', # 0x12
'ya', # 0x13
'ju', # 0x14
'ju', # 0x15
'jo', # 0x16
'je', # 0x17
'jee', # 0x18
'ji', # 0x19
'ji', # 0x1a
'ja', # 0x1b
'jju', # 0x1c
'jjo', # 0x1d
'jje', # 0x1e
'jjee', # 0x1f
'jji', # 0x20
'jja', # 0x21
'lu', # 0x22
'lo', # 0x23
'le', # 0x24
'lee', # 0x25
'li', # 0x26
'la', # 0x27
'dlu', # 0x28
'dlo', # 0x29
'dle', # 0x2a
'dlee', # 0x2b
'dli', # 0x2c
'dla', # 0x2d
'lhu', # 0x2e
'lho', # 0x2f
'lhe', # 0x30
'lhee', # 0x31
'lhi', # 0x32
'lha', # 0x33
'tlhu', # 0x34
'tlho', # 0x35
'tlhe', # 0x36
'tlhee', # 0x37
'tlhi', # 0x38
'tlha', # 0x39
'tlu', # 0x3a
'tlo', # 0x3b
'tle', # 0x3c
'tlee', # 0x3d
'tli', # 0x3e
'tla', # 0x3f
'zu', # 0x40
'zo', # 0x41
'ze', # 0x42
'zee', # 0x43
'zi', # 0x44
'za', # 0x45
'z', # 0x46
'z', # 0x47
'dzu', # 0x48
'dzo', # 0x49
'dze', # 0x4a
'dzee', # 0x4b
'dzi', # 0x4c
'dza', # 0x4d
'su', # 0x4e
'so', # 0x4f
'se', # 0x50
'see', # 0x51
'si', # 0x52
'sa', # 0x53
'shu', # 0x54
'sho', # 0x55
'she', # 0x56
'shee', # 0x57
'shi', # 0x58
'sha', # 0x59
'sh', # 0x5a
'tsu', # 0x5b
'tso', # 0x5c
'tse', # 0x5d
'tsee', # 0x5e
'tsi', # 0x5f
'tsa', # 0x60
'chu', # 0x61
'cho', # 0x62
'che', # 0x63
'chee', # 0x64
'chi', # 0x65
'cha', # 0x66
'ttsu', # 0x67
'ttso', # 0x68
'ttse', # 0x69
'ttsee', # 0x6a
'ttsi', # 0x6b
'ttsa', # 0x6c
'X', # 0x6d
'.', # 0x6e
'qai', # 0x6f
'ngai', # 0x70
'nngi', # 0x71
'nngii', # 0x72
'nngo', # 0x73
'nngoo', # 0x74
'nnga', # 0x75
'nngaa', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
' ', # 0x80
'b', # 0x81
'l', # 0x82
'f', # 0x83
's', # 0x84
'n', # 0x85
'h', # 0x86
'd', # 0x87
't', # 0x88
'c', # 0x89
'q', # 0x8a
'm', # 0x8b
'g', # 0x8c
'ng', # 0x8d
'z', # 0x8e
'r', # 0x8f
'a', # 0x90
'o', # 0x91
'u', # 0x92
'e', # 0x93
'i', # 0x94
'ch', # 0x95
'th', # 0x96
'ph', # 0x97
'p', # 0x98
'x', # 0x99
'p', # 0x9a
'<', # 0x9b
'>', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'f', # 0xa0
'v', # 0xa1
'u', # 0xa2
'yr', # 0xa3
'y', # 0xa4
'w', # 0xa5
'th', # 0xa6
'th', # 0xa7
'a', # 0xa8
'o', # 0xa9
'ac', # 0xaa
'ae', # 0xab
'o', # 0xac
'o', # 0xad
'o', # 0xae
'oe', # 0xaf
'on', # 0xb0
'r', # 0xb1
'k', # 0xb2
'c', # 0xb3
'k', # 0xb4
'g', # 0xb5
'ng', # 0xb6
'g', # 0xb7
'g', # 0xb8
'w', # 0xb9
'h', # 0xba
'h', # 0xbb
'h', # 0xbc
'h', # 0xbd
'n', # 0xbe
'n', # 0xbf
'n', # 0xc0
'i', # 0xc1
'e', # 0xc2
'j', # 0xc3
'g', # 0xc4
'ae', # 0xc5
'a', # 0xc6
'eo', # 0xc7
'p', # 0xc8
'z', # 0xc9
's', # 0xca
's', # 0xcb
's', # 0xcc
'c', # 0xcd
'z', # 0xce
't', # 0xcf
't', # 0xd0
'd', # 0xd1
'b', # 0xd2
'b', # 0xd3
'p', # 0xd4
'p', # 0xd5
'e', # 0xd6
'm', # 0xd7
'm', # 0xd8
'm', # 0xd9
'l', # 0xda
'l', # 0xdb
'ng', # 0xdc
'ng', # 0xdd
'd', # 0xde
'o', # 0xdf
'ear', # 0xe0
'ior', # 0xe1
'qu', # 0xe2
'qu', # 0xe3
'qu', # 0xe4
's', # 0xe5
'yr', # 0xe6
'yr', # 0xe7
'yr', # 0xe8
'q', # 0xe9
'x', # 0xea
'.', # 0xeb
':', # 0xec
'+', # 0xed
'17', # 0xee
'18', # 0xef
'19', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x017 = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'[?]', # 0x20
'[?]', # 0x21
'[?]', # 0x22
'[?]', # 0x23
'[?]', # 0x24
'[?]', # 0x25
'[?]', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'[?]', # 0x29
'[?]', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'[?]', # 0x31
'[?]', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
'[?]', # 0x36
'[?]', # 0x37
'[?]', # 0x38
'[?]', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'k', # 0x80
'kh', # 0x81
'g', # 0x82
'gh', # 0x83
'ng', # 0x84
'c', # 0x85
'ch', # 0x86
'j', # 0x87
'jh', # 0x88
'ny', # 0x89
't', # 0x8a
'tth', # 0x8b
'd', # 0x8c
'ddh', # 0x8d
'nn', # 0x8e
't', # 0x8f
'th', # 0x90
'd', # 0x91
'dh', # 0x92
'n', # 0x93
'p', # 0x94
'ph', # 0x95
'b', # 0x96
'bh', # 0x97
'm', # 0x98
'y', # 0x99
'r', # 0x9a
'l', # 0x9b
'v', # 0x9c
'sh', # 0x9d
'ss', # 0x9e
's', # 0x9f
'h', # 0xa0
'l', # 0xa1
'q', # 0xa2
'a', # 0xa3
'aa', # 0xa4
'i', # 0xa5
'ii', # 0xa6
'u', # 0xa7
'uk', # 0xa8
'uu', # 0xa9
'uuv', # 0xaa
'ry', # 0xab
'ryy', # 0xac
'ly', # 0xad
'lyy', # 0xae
'e', # 0xaf
'ai', # 0xb0
'oo', # 0xb1
'oo', # 0xb2
'au', # 0xb3
'a', # 0xb4
'aa', # 0xb5
'aa', # 0xb6
'i', # 0xb7
'ii', # 0xb8
'y', # 0xb9
'yy', # 0xba
'u', # 0xbb
'uu', # 0xbc
'ua', # 0xbd
'oe', # 0xbe
'ya', # 0xbf
'ie', # 0xc0
'e', # 0xc1
'ae', # 0xc2
'ai', # 0xc3
'oo', # 0xc4
'au', # 0xc5
'M', # 0xc6
'H', # 0xc7
'a`', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'r', # 0xcc
'', # 0xcd
'!', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'.', # 0xd4
' // ', # 0xd5
':', # 0xd6
'+', # 0xd7
'++', # 0xd8
' * ', # 0xd9
' /// ', # 0xda
'KR', # 0xdb
'\'', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'0', # 0xe0
'1', # 0xe1
'2', # 0xe2
'3', # 0xe3
'4', # 0xe4
'5', # 0xe5
'6', # 0xe6
'7', # 0xe7
'8', # 0xe8
'9', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x018 = (
' @ ', # 0x00
' ... ', # 0x01
', ', # 0x02
'. ', # 0x03
': ', # 0x04
' // ', # 0x05
'', # 0x06
'-', # 0x07
', ', # 0x08
'. ', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'[?]', # 0x0f
'0', # 0x10
'1', # 0x11
'2', # 0x12
'3', # 0x13
'4', # 0x14
'5', # 0x15
'6', # 0x16
'7', # 0x17
'8', # 0x18
'9', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'a', # 0x20
'e', # 0x21
'i', # 0x22
'o', # 0x23
'u', # 0x24
'O', # 0x25
'U', # 0x26
'ee', # 0x27
'n', # 0x28
'ng', # 0x29
'b', # 0x2a
'p', # 0x2b
'q', # 0x2c
'g', # 0x2d
'm', # 0x2e
'l', # 0x2f
's', # 0x30
'sh', # 0x31
't', # 0x32
'd', # 0x33
'ch', # 0x34
'j', # 0x35
'y', # 0x36
'r', # 0x37
'w', # 0x38
'f', # 0x39
'k', # 0x3a
'kha', # 0x3b
'ts', # 0x3c
'z', # 0x3d
'h', # 0x3e
'zr', # 0x3f
'lh', # 0x40
'zh', # 0x41
'ch', # 0x42
'-', # 0x43
'e', # 0x44
'i', # 0x45
'o', # 0x46
'u', # 0x47
'O', # 0x48
'U', # 0x49
'ng', # 0x4a
'b', # 0x4b
'p', # 0x4c
'q', # 0x4d
'g', # 0x4e
'm', # 0x4f
't', # 0x50
'd', # 0x51
'ch', # 0x52
'j', # 0x53
'ts', # 0x54
'y', # 0x55
'w', # 0x56
'k', # 0x57
'g', # 0x58
'h', # 0x59
'jy', # 0x5a
'ny', # 0x5b
'dz', # 0x5c
'e', # 0x5d
'i', # 0x5e
'iy', # 0x5f
'U', # 0x60
'u', # 0x61
'ng', # 0x62
'k', # 0x63
'g', # 0x64
'h', # 0x65
'p', # 0x66
'sh', # 0x67
't', # 0x68
'd', # 0x69
'j', # 0x6a
'f', # 0x6b
'g', # 0x6c
'h', # 0x6d
'ts', # 0x6e
'z', # 0x6f
'r', # 0x70
'ch', # 0x71
'zh', # 0x72
'i', # 0x73
'k', # 0x74
'r', # 0x75
'f', # 0x76
'zh', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'H', # 0x81
'X', # 0x82
'W', # 0x83
'M', # 0x84
' 3 ', # 0x85
' 333 ', # 0x86
'a', # 0x87
'i', # 0x88
'k', # 0x89
'ng', # 0x8a
'c', # 0x8b
'tt', # 0x8c
'tth', # 0x8d
'dd', # 0x8e
'nn', # 0x8f
't', # 0x90
'd', # 0x91
'p', # 0x92
'ph', # 0x93
'ss', # 0x94
'zh', # 0x95
'z', # 0x96
'a', # 0x97
't', # 0x98
'zh', # 0x99
'gh', # 0x9a
'ng', # 0x9b
'c', # 0x9c
'jh', # 0x9d
'tta', # 0x9e
'ddh', # 0x9f
't', # 0xa0
'dh', # 0xa1
'ss', # 0xa2
'cy', # 0xa3
'zh', # 0xa4
'z', # 0xa5
'u', # 0xa6
'y', # 0xa7
'bh', # 0xa8
'\'', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x01d = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'b', # 0x6c
'd', # 0x6d
'f', # 0x6e
'm', # 0x6f
'n', # 0x70
'p', # 0x71
'r', # 0x72
'r', # 0x73
's', # 0x74
't', # 0x75
'z', # 0x76
'g', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'p', # 0x7d
'', # 0x7e
'', # 0x7f
'b', # 0x80
'd', # 0x81
'f', # 0x82
'g', # 0x83
'k', # 0x84
'l', # 0x85
'm', # 0x86
'n', # 0x87
'p', # 0x88
'r', # 0x89
's', # 0x8a
'', # 0x8b
'v', # 0x8c
'x', # 0x8d
'z', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
)
x01e = (
'A', # 0x00
'a', # 0x01
'B', # 0x02
'b', # 0x03
'B', # 0x04
'b', # 0x05
'B', # 0x06
'b', # 0x07
'C', # 0x08
'c', # 0x09
'D', # 0x0a
'd', # 0x0b
'D', # 0x0c
'd', # 0x0d
'D', # 0x0e
'd', # 0x0f
'D', # 0x10
'd', # 0x11
'D', # 0x12
'd', # 0x13
'E', # 0x14
'e', # 0x15
'E', # 0x16
'e', # 0x17
'E', # 0x18
'e', # 0x19
'E', # 0x1a
'e', # 0x1b
'E', # 0x1c
'e', # 0x1d
'F', # 0x1e
'f', # 0x1f
'G', # 0x20
'g', # 0x21
'H', # 0x22
'h', # 0x23
'H', # 0x24
'h', # 0x25
'H', # 0x26
'h', # 0x27
'H', # 0x28
'h', # 0x29
'H', # 0x2a
'h', # 0x2b
'I', # 0x2c
'i', # 0x2d
'I', # 0x2e
'i', # 0x2f
'K', # 0x30
'k', # 0x31
'K', # 0x32
'k', # 0x33
'K', # 0x34
'k', # 0x35
'L', # 0x36
'l', # 0x37
'L', # 0x38
'l', # 0x39
'L', # 0x3a
'l', # 0x3b
'L', # 0x3c
'l', # 0x3d
'M', # 0x3e
'm', # 0x3f
'M', # 0x40
'm', # 0x41
'M', # 0x42
'm', # 0x43
'N', # 0x44
'n', # 0x45
'N', # 0x46
'n', # 0x47
'N', # 0x48
'n', # 0x49
'N', # 0x4a
'n', # 0x4b
'O', # 0x4c
'o', # 0x4d
'O', # 0x4e
'o', # 0x4f
'O', # 0x50
'o', # 0x51
'O', # 0x52
'o', # 0x53
'P', # 0x54
'p', # 0x55
'P', # 0x56
'p', # 0x57
'R', # 0x58
'r', # 0x59
'R', # 0x5a
'r', # 0x5b
'R', # 0x5c
'r', # 0x5d
'R', # 0x5e
'r', # 0x5f
'S', # 0x60
's', # 0x61
'S', # 0x62
's', # 0x63
'S', # 0x64
's', # 0x65
'S', # 0x66
's', # 0x67
'S', # 0x68
's', # 0x69
'T', # 0x6a
't', # 0x6b
'T', # 0x6c
't', # 0x6d
'T', # 0x6e
't', # 0x6f
'T', # 0x70
't', # 0x71
'U', # 0x72
'u', # 0x73
'U', # 0x74
'u', # 0x75
'U', # 0x76
'u', # 0x77
'U', # 0x78
'u', # 0x79
'U', # 0x7a
'u', # 0x7b
'V', # 0x7c
'v', # 0x7d
'V', # 0x7e
'v', # 0x7f
'W', # 0x80
'w', # 0x81
'W', # 0x82
'w', # 0x83
'W', # 0x84
'w', # 0x85
'W', # 0x86
'w', # 0x87
'W', # 0x88
'w', # 0x89
'X', # 0x8a
'x', # 0x8b
'X', # 0x8c
'x', # 0x8d
'Y', # 0x8e
'y', # 0x8f
'Z', # 0x90
'z', # 0x91
'Z', # 0x92
'z', # 0x93
'Z', # 0x94
'z', # 0x95
'h', # 0x96
't', # 0x97
'w', # 0x98
'y', # 0x99
'a', # 0x9a
'S', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'Ss', # 0x9e
'[?]', # 0x9f
'A', # 0xa0
'a', # 0xa1
'A', # 0xa2
'a', # 0xa3
'A', # 0xa4
'a', # 0xa5
'A', # 0xa6
'a', # 0xa7
'A', # 0xa8
'a', # 0xa9
'A', # 0xaa
'a', # 0xab
'A', # 0xac
'a', # 0xad
'A', # 0xae
'a', # 0xaf
'A', # 0xb0
'a', # 0xb1
'A', # 0xb2
'a', # 0xb3
'A', # 0xb4
'a', # 0xb5
'A', # 0xb6
'a', # 0xb7
'E', # 0xb8
'e', # 0xb9
'E', # 0xba
'e', # 0xbb
'E', # 0xbc
'e', # 0xbd
'E', # 0xbe
'e', # 0xbf
'E', # 0xc0
'e', # 0xc1
'E', # 0xc2
'e', # 0xc3
'E', # 0xc4
'e', # 0xc5
'E', # 0xc6
'e', # 0xc7
'I', # 0xc8
'i', # 0xc9
'I', # 0xca
'i', # 0xcb
'O', # 0xcc
'o', # 0xcd
'O', # 0xce
'o', # 0xcf
'O', # 0xd0
'o', # 0xd1
'O', # 0xd2
'o', # 0xd3
'O', # 0xd4
'o', # 0xd5
'O', # 0xd6
'o', # 0xd7
'O', # 0xd8
'o', # 0xd9
'O', # 0xda
'o', # 0xdb
'O', # 0xdc
'o', # 0xdd
'O', # 0xde
'o', # 0xdf
'O', # 0xe0
'o', # 0xe1
'O', # 0xe2
'o', # 0xe3
'U', # 0xe4
'u', # 0xe5
'U', # 0xe6
'u', # 0xe7
'U', # 0xe8
'u', # 0xe9
'U', # 0xea
'u', # 0xeb
'U', # 0xec
'u', # 0xed
'U', # 0xee
'u', # 0xef
'U', # 0xf0
'u', # 0xf1
'Y', # 0xf2
'y', # 0xf3
'Y', # 0xf4
'y', # 0xf5
'Y', # 0xf6
'y', # 0xf7
'Y', # 0xf8
'y', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x01f = (
'a', # 0x00
'a', # 0x01
'a', # 0x02
'a', # 0x03
'a', # 0x04
'a', # 0x05
'a', # 0x06
'a', # 0x07
'A', # 0x08
'A', # 0x09
'A', # 0x0a
'A', # 0x0b
'A', # 0x0c
'A', # 0x0d
'A', # 0x0e
'A', # 0x0f
'e', # 0x10
'e', # 0x11
'e', # 0x12
'e', # 0x13
'e', # 0x14
'e', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'E', # 0x18
'E', # 0x19
'E', # 0x1a
'E', # 0x1b
'E', # 0x1c
'E', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'e', # 0x20
'e', # 0x21
'e', # 0x22
'e', # 0x23
'e', # 0x24
'e', # 0x25
'e', # 0x26
'e', # 0x27
'E', # 0x28
'E', # 0x29
'E', # 0x2a
'E', # 0x2b
'E', # 0x2c
'E', # 0x2d
'E', # 0x2e
'E', # 0x2f
'i', # 0x30
'i', # 0x31
'i', # 0x32
'i', # 0x33
'i', # 0x34
'i', # 0x35
'i', # 0x36
'i', # 0x37
'I', # 0x38
'I', # 0x39
'I', # 0x3a
'I', # 0x3b
'I', # 0x3c
'I', # 0x3d
'I', # 0x3e
'I', # 0x3f
'o', # 0x40
'o', # 0x41
'o', # 0x42
'o', # 0x43
'o', # 0x44
'o', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'O', # 0x48
'O', # 0x49
'O', # 0x4a
'O', # 0x4b
'O', # 0x4c
'O', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'u', # 0x50
'u', # 0x51
'u', # 0x52
'u', # 0x53
'u', # 0x54
'u', # 0x55
'u', # 0x56
'u', # 0x57
'[?]', # 0x58
'U', # 0x59
'[?]', # 0x5a
'U', # 0x5b
'[?]', # 0x5c
'U', # 0x5d
'[?]', # 0x5e
'U', # 0x5f
'o', # 0x60
'o', # 0x61
'o', # 0x62
'o', # 0x63
'o', # 0x64
'o', # 0x65
'o', # 0x66
'o', # 0x67
'O', # 0x68
'O', # 0x69
'O', # 0x6a
'O', # 0x6b
'O', # 0x6c
'O', # 0x6d
'O', # 0x6e
'O', # 0x6f
'a', # 0x70
'a', # 0x71
'e', # 0x72
'e', # 0x73
'e', # 0x74
'e', # 0x75
'i', # 0x76
'i', # 0x77
'o', # 0x78
'o', # 0x79
'u', # 0x7a
'u', # 0x7b
'o', # 0x7c
'o', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'a', # 0x80
'a', # 0x81
'a', # 0x82
'a', # 0x83
'a', # 0x84
'a', # 0x85
'a', # 0x86
'a', # 0x87
'A', # 0x88
'A', # 0x89
'A', # 0x8a
'A', # 0x8b
'A', # 0x8c
'A', # 0x8d
'A', # 0x8e
'A', # 0x8f
'e', # 0x90
'e', # 0x91
'e', # 0x92
'e', # 0x93
'e', # 0x94
'e', # 0x95
'e', # 0x96
'e', # 0x97
'E', # 0x98
'E', # 0x99
'E', # 0x9a
'E', # 0x9b
'E', # 0x9c
'E', # 0x9d
'E', # 0x9e
'E', # 0x9f
'o', # 0xa0
'o', # 0xa1
'o', # 0xa2
'o', # 0xa3
'o', # 0xa4
'o', # 0xa5
'o', # 0xa6
'o', # 0xa7
'O', # 0xa8
'O', # 0xa9
'O', # 0xaa
'O', # 0xab
'O', # 0xac
'O', # 0xad
'O', # 0xae
'O', # 0xaf
'a', # 0xb0
'a', # 0xb1
'a', # 0xb2
'a', # 0xb3
'a', # 0xb4
'[?]', # 0xb5
'a', # 0xb6
'a', # 0xb7
'A', # 0xb8
'A', # 0xb9
'A', # 0xba
'A', # 0xbb
'A', # 0xbc
'\'', # 0xbd
'i', # 0xbe
'\'', # 0xbf
'~', # 0xc0
'"~', # 0xc1
'e', # 0xc2
'e', # 0xc3
'e', # 0xc4
'[?]', # 0xc5
'e', # 0xc6
'e', # 0xc7
'E', # 0xc8
'E', # 0xc9
'E', # 0xca
'E', # 0xcb
'E', # 0xcc
'\'`', # 0xcd
'\'\'', # 0xce
'\'~', # 0xcf
'i', # 0xd0
'i', # 0xd1
'i', # 0xd2
'i', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'i', # 0xd6
'i', # 0xd7
'I', # 0xd8
'I', # 0xd9
'I', # 0xda
'I', # 0xdb
'[?]', # 0xdc
'`\'', # 0xdd
'`\'', # 0xde
'`~', # 0xdf
'u', # 0xe0
'u', # 0xe1
'u', # 0xe2
'u', # 0xe3
'R', # 0xe4
'R', # 0xe5
'u', # 0xe6
'u', # 0xe7
'U', # 0xe8
'U', # 0xe9
'U', # 0xea
'U', # 0xeb
'R', # 0xec
'"`', # 0xed
'"\'', # 0xee
'`', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'o', # 0xf2
'o', # 0xf3
'o', # 0xf4
'[?]', # 0xf5
'o', # 0xf6
'o', # 0xf7
'O', # 0xf8
'O', # 0xf9
'O', # 0xfa
'O', # 0xfb
'O', # 0xfc
'\'', # 0xfd
'`', # 0xfe
)
x020 = (
' ', # 0x00
' ', # 0x01
' ', # 0x02
' ', # 0x03
' ', # 0x04
' ', # 0x05
' ', # 0x06
' ', # 0x07
' ', # 0x08
' ', # 0x09
' ', # 0x0a
' ', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'-', # 0x10
'-', # 0x11
'-', # 0x12
'-', # 0x13
'--', # 0x14
'--', # 0x15
'||', # 0x16
'_', # 0x17
'\'', # 0x18
'\'', # 0x19
',', # 0x1a
'\'', # 0x1b
'"', # 0x1c
'"', # 0x1d
',,', # 0x1e
'"', # 0x1f
'+', # 0x20
'++', # 0x21
'*', # 0x22
'*>', # 0x23
'.', # 0x24
'..', # 0x25
'...', # 0x26
'.', # 0x27
'\x0a', # 0x28
'\x0a\x0a', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
' ', # 0x2f
'%0', # 0x30
'%00', # 0x31
'\'', # 0x32
'\'\'', # 0x33
'\'\'\'', # 0x34
'`', # 0x35
'``', # 0x36
'```', # 0x37
'^', # 0x38
'<', # 0x39
'>', # 0x3a
'*', # 0x3b
'!!', # 0x3c
'!?', # 0x3d
'-', # 0x3e
'_', # 0x3f
'-', # 0x40
'^', # 0x41
'***', # 0x42
'--', # 0x43
'/', # 0x44
'-[', # 0x45
']-', # 0x46
'??', # 0x47
'?!', # 0x48
'!?', # 0x49
'7', # 0x4a
'PP', # 0x4b
'(]', # 0x4c
'[)', # 0x4d
'*', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'%', # 0x52
'~', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
"''''", # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'0', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'4', # 0x74
'5', # 0x75
'6', # 0x76
'7', # 0x77
'8', # 0x78
'9', # 0x79
'+', # 0x7a
'-', # 0x7b
'=', # 0x7c
'(', # 0x7d
')', # 0x7e
'n', # 0x7f
'0', # 0x80
'1', # 0x81
'2', # 0x82
'3', # 0x83
'4', # 0x84
'5', # 0x85
'6', # 0x86
'7', # 0x87
'8', # 0x88
'9', # 0x89
'+', # 0x8a
'-', # 0x8b
'=', # 0x8c
'(', # 0x8d
')', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'ECU', # 0xa0
'CL', # 0xa1
'Cr', # 0xa2
'FF', # 0xa3
'L', # 0xa4
'mil', # 0xa5
'N', # 0xa6
'Pts', # 0xa7
'Rs', # 0xa8
'W', # 0xa9
'NS', # 0xaa
'D', # 0xab
'EUR', # 0xac
'K', # 0xad
'T', # 0xae
'Dr', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'[?]', # 0xe4
'', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x021 = (
'', # 0x00
'', # 0x01
'C', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'H', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'N', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'P', # 0x19
'Q', # 0x1a
'', # 0x1b
'', # 0x1c
'R', # 0x1d
'', # 0x1e
'', # 0x1f
'(sm)', # 0x20
'TEL', # 0x21
'(tm)', # 0x22
'', # 0x23
'Z', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'K', # 0x2a
'A', # 0x2b
'', # 0x2c
'', # 0x2d
'e', # 0x2e
'e', # 0x2f
'E', # 0x30
'F', # 0x31
'F', # 0x32
'M', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'FAX', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'D', # 0x45
'd', # 0x46
'e', # 0x47
'i', # 0x48
'j', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'F', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
' 1/3 ', # 0x53
' 2/3 ', # 0x54
' 1/5 ', # 0x55
' 2/5 ', # 0x56
' 3/5 ', # 0x57
' 4/5 ', # 0x58
' 1/6 ', # 0x59
' 5/6 ', # 0x5a
' 1/8 ', # 0x5b
' 3/8 ', # 0x5c
' 5/8 ', # 0x5d
' 7/8 ', # 0x5e
' 1/', # 0x5f
'I', # 0x60
'II', # 0x61
'III', # 0x62
'IV', # 0x63
'V', # 0x64
'VI', # 0x65
'VII', # 0x66
'VIII', # 0x67
'IX', # 0x68
'X', # 0x69
'XI', # 0x6a
'XII', # 0x6b
'L', # 0x6c
'C', # 0x6d
'D', # 0x6e
'M', # 0x6f
'i', # 0x70
'ii', # 0x71
'iii', # 0x72
'iv', # 0x73
'v', # 0x74
'vi', # 0x75
'vii', # 0x76
'viii', # 0x77
'ix', # 0x78
'x', # 0x79
'xi', # 0x7a
'xii', # 0x7b
'l', # 0x7c
'c', # 0x7d
'd', # 0x7e
'm', # 0x7f
'(D', # 0x80
'D)', # 0x81
'((|))', # 0x82
')', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'-', # 0x90
'|', # 0x91
'-', # 0x92
'|', # 0x93
'-', # 0x94
'|', # 0x95
'\\', # 0x96
'/', # 0x97
'\\', # 0x98
'/', # 0x99
'-', # 0x9a
'-', # 0x9b
'~', # 0x9c
'~', # 0x9d
'-', # 0x9e
'|', # 0x9f
'-', # 0xa0
'|', # 0xa1
'-', # 0xa2
'-', # 0xa3
'-', # 0xa4
'|', # 0xa5
'-', # 0xa6
'|', # 0xa7
'|', # 0xa8
'-', # 0xa9
'-', # 0xaa
'-', # 0xab
'-', # 0xac
'-', # 0xad
'-', # 0xae
'|', # 0xaf
'|', # 0xb0
'|', # 0xb1
'|', # 0xb2
'|', # 0xb3
'|', # 0xb4
'|', # 0xb5
'^', # 0xb6
'V', # 0xb7
'\\', # 0xb8
'=', # 0xb9
'V', # 0xba
'^', # 0xbb
'-', # 0xbc
'-', # 0xbd
'|', # 0xbe
'|', # 0xbf
'-', # 0xc0
'-', # 0xc1
'|', # 0xc2
'|', # 0xc3
'=', # 0xc4
'|', # 0xc5
'=', # 0xc6
'=', # 0xc7
'|', # 0xc8
'=', # 0xc9
'|', # 0xca
'=', # 0xcb
'=', # 0xcc
'=', # 0xcd
'=', # 0xce
'=', # 0xcf
'=', # 0xd0
'|', # 0xd1
'=', # 0xd2
'|', # 0xd3
'=', # 0xd4
'|', # 0xd5
'\\', # 0xd6
'/', # 0xd7
'\\', # 0xd8
'/', # 0xd9
'=', # 0xda
'=', # 0xdb
'~', # 0xdc
'~', # 0xdd
'|', # 0xde
'|', # 0xdf
'-', # 0xe0
'|', # 0xe1
'-', # 0xe2
'|', # 0xe3
'-', # 0xe4
'-', # 0xe5
'-', # 0xe6
'|', # 0xe7
'-', # 0xe8
'|', # 0xe9
'|', # 0xea
'|', # 0xeb
'|', # 0xec
'|', # 0xed
'|', # 0xee
'|', # 0xef
'-', # 0xf0
'\\', # 0xf1
'\\', # 0xf2
'|', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x022 = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'-', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'/', # 0x15
'\\', # 0x16
'*', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'[?]', # 0x20
'[?]', # 0x21
'[?]', # 0x22
'|', # 0x23
'[?]', # 0x24
'[?]', # 0x25
'[?]', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'[?]', # 0x29
'[?]', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'[?]', # 0x31
'[?]', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
':', # 0x36
'[?]', # 0x37
'[?]', # 0x38
'[?]', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'~', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'<=', # 0x64
'>=', # 0x65
'<=', # 0x66
'>=', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'[?]', # 0xa0
'[?]', # 0xa1
'[?]', # 0xa2
'[?]', # 0xa3
'[?]', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x023 = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'^', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'[?]', # 0x20
'[?]', # 0x21
'[?]', # 0x22
'[?]', # 0x23
'[?]', # 0x24
'[?]', # 0x25
'[?]', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'<', # 0x29
'> ', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'[?]', # 0x31
'[?]', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
'[?]', # 0x36
'[?]', # 0x37
'[?]', # 0x38
'[?]', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'[?]', # 0xa0
'[?]', # 0xa1
'[?]', # 0xa2
'[?]', # 0xa3
'[?]', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x024 = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'[?]', # 0x29
'[?]', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'[?]', # 0x31
'[?]', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
'[?]', # 0x36
'[?]', # 0x37
'[?]', # 0x38
'[?]', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'1', # 0x60
'2', # 0x61
'3', # 0x62
'4', # 0x63
'5', # 0x64
'6', # 0x65
'7', # 0x66
'8', # 0x67
'9', # 0x68
'10', # 0x69
'11', # 0x6a
'12', # 0x6b
'13', # 0x6c
'14', # 0x6d
'15', # 0x6e
'16', # 0x6f
'17', # 0x70
'18', # 0x71
'19', # 0x72
'20', # 0x73
'(1)', # 0x74
'(2)', # 0x75
'(3)', # 0x76
'(4)', # 0x77
'(5)', # 0x78
'(6)', # 0x79
'(7)', # 0x7a
'(8)', # 0x7b
'(9)', # 0x7c
'(10)', # 0x7d
'(11)', # 0x7e
'(12)', # 0x7f
'(13)', # 0x80
'(14)', # 0x81
'(15)', # 0x82
'(16)', # 0x83
'(17)', # 0x84
'(18)', # 0x85
'(19)', # 0x86
'(20)', # 0x87
'1.', # 0x88
'2.', # 0x89
'3.', # 0x8a
'4.', # 0x8b
'5.', # 0x8c
'6.', # 0x8d
'7.', # 0x8e
'8.', # 0x8f
'9.', # 0x90
'10.', # 0x91
'11.', # 0x92
'12.', # 0x93
'13.', # 0x94
'14.', # 0x95
'15.', # 0x96
'16.', # 0x97
'17.', # 0x98
'18.', # 0x99
'19.', # 0x9a
'20.', # 0x9b
'(a)', # 0x9c
'(b)', # 0x9d
'(c)', # 0x9e
'(d)', # 0x9f
'(e)', # 0xa0
'(f)', # 0xa1
'(g)', # 0xa2
'(h)', # 0xa3
'(i)', # 0xa4
'(j)', # 0xa5
'(k)', # 0xa6
'(l)', # 0xa7
'(m)', # 0xa8
'(n)', # 0xa9
'(o)', # 0xaa
'(p)', # 0xab
'(q)', # 0xac
'(r)', # 0xad
'(s)', # 0xae
'(t)', # 0xaf
'(u)', # 0xb0
'(v)', # 0xb1
'(w)', # 0xb2
'(x)', # 0xb3
'(y)', # 0xb4
'(z)', # 0xb5
'a', # 0xb6
'b', # 0xb7
'c', # 0xb8
'd', # 0xb9
'e', # 0xba
'f', # 0xbb
'g', # 0xbc
'h', # 0xbd
'i', # 0xbe
'j', # 0xbf
'k', # 0xc0
'l', # 0xc1
'm', # 0xc2
'n', # 0xc3
'o', # 0xc4
'p', # 0xc5
'q', # 0xc6
'r', # 0xc7
's', # 0xc8
't', # 0xc9
'u', # 0xca
'v', # 0xcb
'w', # 0xcc
'x', # 0xcd
'y', # 0xce
'z', # 0xcf
'a', # 0xd0
'b', # 0xd1
'c', # 0xd2
'd', # 0xd3
'e', # 0xd4
'f', # 0xd5
'g', # 0xd6
'h', # 0xd7
'i', # 0xd8
'j', # 0xd9
'k', # 0xda
'l', # 0xdb
'm', # 0xdc
'n', # 0xdd
'o', # 0xde
'p', # 0xdf
'q', # 0xe0
'r', # 0xe1
's', # 0xe2
't', # 0xe3
'u', # 0xe4
'v', # 0xe5
'w', # 0xe6
'x', # 0xe7
'y', # 0xe8
'z', # 0xe9
'0', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x025 = (
'-', # 0x00
'-', # 0x01
'|', # 0x02
'|', # 0x03
'-', # 0x04
'-', # 0x05
'|', # 0x06
'|', # 0x07
'-', # 0x08
'-', # 0x09
'|', # 0x0a
'|', # 0x0b
'+', # 0x0c
'+', # 0x0d
'+', # 0x0e
'+', # 0x0f
'+', # 0x10
'+', # 0x11
'+', # 0x12
'+', # 0x13
'+', # 0x14
'+', # 0x15
'+', # 0x16
'+', # 0x17
'+', # 0x18
'+', # 0x19
'+', # 0x1a
'+', # 0x1b
'+', # 0x1c
'+', # 0x1d
'+', # 0x1e
'+', # 0x1f
'+', # 0x20
'+', # 0x21
'+', # 0x22
'+', # 0x23
'+', # 0x24
'+', # 0x25
'+', # 0x26
'+', # 0x27
'+', # 0x28
'+', # 0x29
'+', # 0x2a
'+', # 0x2b
'+', # 0x2c
'+', # 0x2d
'+', # 0x2e
'+', # 0x2f
'+', # 0x30
'+', # 0x31
'+', # 0x32
'+', # 0x33
'+', # 0x34
'+', # 0x35
'+', # 0x36
'+', # 0x37
'+', # 0x38
'+', # 0x39
'+', # 0x3a
'+', # 0x3b
'+', # 0x3c
'+', # 0x3d
'+', # 0x3e
'+', # 0x3f
'+', # 0x40
'+', # 0x41
'+', # 0x42
'+', # 0x43
'+', # 0x44
'+', # 0x45
'+', # 0x46
'+', # 0x47
'+', # 0x48
'+', # 0x49
'+', # 0x4a
'+', # 0x4b
'-', # 0x4c
'-', # 0x4d
'|', # 0x4e
'|', # 0x4f
'-', # 0x50
'|', # 0x51
'+', # 0x52
'+', # 0x53
'+', # 0x54
'+', # 0x55
'+', # 0x56
'+', # 0x57
'+', # 0x58
'+', # 0x59
'+', # 0x5a
'+', # 0x5b
'+', # 0x5c
'+', # 0x5d
'+', # 0x5e
'+', # 0x5f
'+', # 0x60
'+', # 0x61
'+', # 0x62
'+', # 0x63
'+', # 0x64
'+', # 0x65
'+', # 0x66
'+', # 0x67
'+', # 0x68
'+', # 0x69
'+', # 0x6a
'+', # 0x6b
'+', # 0x6c
'+', # 0x6d
'+', # 0x6e
'+', # 0x6f
'+', # 0x70
'/', # 0x71
'\\', # 0x72
'X', # 0x73
'-', # 0x74
'|', # 0x75
'-', # 0x76
'|', # 0x77
'-', # 0x78
'|', # 0x79
'-', # 0x7a
'|', # 0x7b
'-', # 0x7c
'|', # 0x7d
'-', # 0x7e
'|', # 0x7f
'#', # 0x80
'#', # 0x81
'#', # 0x82
'#', # 0x83
'#', # 0x84
'#', # 0x85
'#', # 0x86
'#', # 0x87
'#', # 0x88
'#', # 0x89
'#', # 0x8a
'#', # 0x8b
'#', # 0x8c
'#', # 0x8d
'#', # 0x8e
'#', # 0x8f
'#', # 0x90
'#', # 0x91
'#', # 0x92
'#', # 0x93
'-', # 0x94
'|', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'#', # 0xa0
'#', # 0xa1
'#', # 0xa2
'#', # 0xa3
'#', # 0xa4
'#', # 0xa5
'#', # 0xa6
'#', # 0xa7
'#', # 0xa8
'#', # 0xa9
'#', # 0xaa
'#', # 0xab
'#', # 0xac
'#', # 0xad
'#', # 0xae
'#', # 0xaf
'#', # 0xb0
'#', # 0xb1
'^', # 0xb2
'^', # 0xb3
'^', # 0xb4
'^', # 0xb5
'>', # 0xb6
'>', # 0xb7
'>', # 0xb8
'>', # 0xb9
'>', # 0xba
'>', # 0xbb
'V', # 0xbc
'V', # 0xbd
'V', # 0xbe
'V', # 0xbf
'<', # 0xc0
'<', # 0xc1
'<', # 0xc2
'<', # 0xc3
'<', # 0xc4
'<', # 0xc5
'*', # 0xc6
'*', # 0xc7
'*', # 0xc8
'*', # 0xc9
'*', # 0xca
'*', # 0xcb
'*', # 0xcc
'*', # 0xcd
'*', # 0xce
'*', # 0xcf
'*', # 0xd0
'*', # 0xd1
'*', # 0xd2
'*', # 0xd3
'*', # 0xd4
'*', # 0xd5
'*', # 0xd6
'*', # 0xd7
'*', # 0xd8
'*', # 0xd9
'*', # 0xda
'*', # 0xdb
'*', # 0xdc
'*', # 0xdd
'*', # 0xde
'*', # 0xdf
'*', # 0xe0
'*', # 0xe1
'*', # 0xe2
'*', # 0xe3
'*', # 0xe4
'*', # 0xe5
'*', # 0xe6
'#', # 0xe7
'#', # 0xe8
'#', # 0xe9
'#', # 0xea
'#', # 0xeb
'^', # 0xec
'^', # 0xed
'^', # 0xee
'O', # 0xef
'#', # 0xf0
'#', # 0xf1
'#', # 0xf2
'#', # 0xf3
'#', # 0xf4
'#', # 0xf5
'#', # 0xf6
'#', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x026 = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'#', # 0x6f
'', # 0x70
'', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'[?]', # 0xa0
'[?]', # 0xa1
'[?]', # 0xa2
'[?]', # 0xa3
'[?]', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x027 = (
'[?]', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'*', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'|', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'', # 0x61
'!', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'[?]', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[', # 0xe6
'[?]', # 0xe7
'<', # 0xe8
'> ', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x028 = (
' ', # 0x00
'a', # 0x01
'1', # 0x02
'b', # 0x03
'\'', # 0x04
'k', # 0x05
'2', # 0x06
'l', # 0x07
'@', # 0x08
'c', # 0x09
'i', # 0x0a
'f', # 0x0b
'/', # 0x0c
'm', # 0x0d
's', # 0x0e
'p', # 0x0f
'"', # 0x10
'e', # 0x11
'3', # 0x12
'h', # 0x13
'9', # 0x14
'o', # 0x15
'6', # 0x16
'r', # 0x17
'^', # 0x18
'd', # 0x19
'j', # 0x1a
'g', # 0x1b
'>', # 0x1c
'n', # 0x1d
't', # 0x1e
'q', # 0x1f
',', # 0x20
'*', # 0x21
'5', # 0x22
'<', # 0x23
'-', # 0x24
'u', # 0x25
'8', # 0x26
'v', # 0x27
'.', # 0x28
'%', # 0x29
'[', # 0x2a
'$', # 0x2b
'+', # 0x2c
'x', # 0x2d
'!', # 0x2e
'&', # 0x2f
';', # 0x30
':', # 0x31
'4', # 0x32
'\\', # 0x33
'0', # 0x34
'z', # 0x35
'7', # 0x36
'(', # 0x37
'_', # 0x38
'?', # 0x39
'w', # 0x3a
']', # 0x3b
'#', # 0x3c
'y', # 0x3d
')', # 0x3e
'=', # 0x3f
'[d7]', # 0x40
'[d17]', # 0x41
'[d27]', # 0x42
'[d127]', # 0x43
'[d37]', # 0x44
'[d137]', # 0x45
'[d237]', # 0x46
'[d1237]', # 0x47
'[d47]', # 0x48
'[d147]', # 0x49
'[d247]', # 0x4a
'[d1247]', # 0x4b
'[d347]', # 0x4c
'[d1347]', # 0x4d
'[d2347]', # 0x4e
'[d12347]', # 0x4f
'[d57]', # 0x50
'[d157]', # 0x51
'[d257]', # 0x52
'[d1257]', # 0x53
'[d357]', # 0x54
'[d1357]', # 0x55
'[d2357]', # 0x56
'[d12357]', # 0x57
'[d457]', # 0x58
'[d1457]', # 0x59
'[d2457]', # 0x5a
'[d12457]', # 0x5b
'[d3457]', # 0x5c
'[d13457]', # 0x5d
'[d23457]', # 0x5e
'[d123457]', # 0x5f
'[d67]', # 0x60
'[d167]', # 0x61
'[d267]', # 0x62
'[d1267]', # 0x63
'[d367]', # 0x64
'[d1367]', # 0x65
'[d2367]', # 0x66
'[d12367]', # 0x67
'[d467]', # 0x68
'[d1467]', # 0x69
'[d2467]', # 0x6a
'[d12467]', # 0x6b
'[d3467]', # 0x6c
'[d13467]', # 0x6d
'[d23467]', # 0x6e
'[d123467]', # 0x6f
'[d567]', # 0x70
'[d1567]', # 0x71
'[d2567]', # 0x72
'[d12567]', # 0x73
'[d3567]', # 0x74
'[d13567]', # 0x75
'[d23567]', # 0x76
'[d123567]', # 0x77
'[d4567]', # 0x78
'[d14567]', # 0x79
'[d24567]', # 0x7a
'[d124567]', # 0x7b
'[d34567]', # 0x7c
'[d134567]', # 0x7d
'[d234567]', # 0x7e
'[d1234567]', # 0x7f
'[d8]', # 0x80
'[d18]', # 0x81
'[d28]', # 0x82
'[d128]', # 0x83
'[d38]', # 0x84
'[d138]', # 0x85
'[d238]', # 0x86
'[d1238]', # 0x87
'[d48]', # 0x88
'[d148]', # 0x89
'[d248]', # 0x8a
'[d1248]', # 0x8b
'[d348]', # 0x8c
'[d1348]', # 0x8d
'[d2348]', # 0x8e
'[d12348]', # 0x8f
'[d58]', # 0x90
'[d158]', # 0x91
'[d258]', # 0x92
'[d1258]', # 0x93
'[d358]', # 0x94
'[d1358]', # 0x95
'[d2358]', # 0x96
'[d12358]', # 0x97
'[d458]', # 0x98
'[d1458]', # 0x99
'[d2458]', # 0x9a
'[d12458]', # 0x9b
'[d3458]', # 0x9c
'[d13458]', # 0x9d
'[d23458]', # 0x9e
'[d123458]', # 0x9f
'[d68]', # 0xa0
'[d168]', # 0xa1
'[d268]', # 0xa2
'[d1268]', # 0xa3
'[d368]', # 0xa4
'[d1368]', # 0xa5
'[d2368]', # 0xa6
'[d12368]', # 0xa7
'[d468]', # 0xa8
'[d1468]', # 0xa9
'[d2468]', # 0xaa
'[d12468]', # 0xab
'[d3468]', # 0xac
'[d13468]', # 0xad
'[d23468]', # 0xae
'[d123468]', # 0xaf
'[d568]', # 0xb0
'[d1568]', # 0xb1
'[d2568]', # 0xb2
'[d12568]', # 0xb3
'[d3568]', # 0xb4
'[d13568]', # 0xb5
'[d23568]', # 0xb6
'[d123568]', # 0xb7
'[d4568]', # 0xb8
'[d14568]', # 0xb9
'[d24568]', # 0xba
'[d124568]', # 0xbb
'[d34568]', # 0xbc
'[d134568]', # 0xbd
'[d234568]', # 0xbe
'[d1234568]', # 0xbf
'[d78]', # 0xc0
'[d178]', # 0xc1
'[d278]', # 0xc2
'[d1278]', # 0xc3
'[d378]', # 0xc4
'[d1378]', # 0xc5
'[d2378]', # 0xc6
'[d12378]', # 0xc7
'[d478]', # 0xc8
'[d1478]', # 0xc9
'[d2478]', # 0xca
'[d12478]', # 0xcb
'[d3478]', # 0xcc
'[d13478]', # 0xcd
'[d23478]', # 0xce
'[d123478]', # 0xcf
'[d578]', # 0xd0
'[d1578]', # 0xd1
'[d2578]', # 0xd2
'[d12578]', # 0xd3
'[d3578]', # 0xd4
'[d13578]', # 0xd5
'[d23578]', # 0xd6
'[d123578]', # 0xd7
'[d4578]', # 0xd8
'[d14578]', # 0xd9
'[d24578]', # 0xda
'[d124578]', # 0xdb
'[d34578]', # 0xdc
'[d134578]', # 0xdd
'[d234578]', # 0xde
'[d1234578]', # 0xdf
'[d678]', # 0xe0
'[d1678]', # 0xe1
'[d2678]', # 0xe2
'[d12678]', # 0xe3
'[d3678]', # 0xe4
'[d13678]', # 0xe5
'[d23678]', # 0xe6
'[d123678]', # 0xe7
'[d4678]', # 0xe8
'[d14678]', # 0xe9
'[d24678]', # 0xea
'[d124678]', # 0xeb
'[d34678]', # 0xec
'[d134678]', # 0xed
'[d234678]', # 0xee
'[d1234678]', # 0xef
'[d5678]', # 0xf0
'[d15678]', # 0xf1
'[d25678]', # 0xf2
'[d125678]', # 0xf3
'[d35678]', # 0xf4
'[d135678]', # 0xf5
'[d235678]', # 0xf6
'[d1235678]', # 0xf7
'[d45678]', # 0xf8
'[d145678]', # 0xf9
'[d245678]', # 0xfa
'[d1245678]', # 0xfb
'[d345678]', # 0xfc
'[d1345678]', # 0xfd
'[d2345678]', # 0xfe
'[d12345678]', # 0xff
)
x029 = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'{', # 0x83
'} ', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
)
x02a = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'::=', # 0x74
'==', # 0x75
'===', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
)
x02c = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'L', # 0x60
'l', # 0x61
'L', # 0x62
'P', # 0x63
'R', # 0x64
'a', # 0x65
't', # 0x66
'H', # 0x67
'h', # 0x68
'K', # 0x69
'k', # 0x6a
'Z', # 0x6b
'z', # 0x6c
'', # 0x6d
'M', # 0x6e
'A', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
)
x02e = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'[?]', # 0x20
'[?]', # 0x21
'[?]', # 0x22
'[?]', # 0x23
'[?]', # 0x24
'[?]', # 0x25
'[?]', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'[?]', # 0x29
'[?]', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'[?]', # 0x31
'[?]', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
'[?]', # 0x36
'[?]', # 0x37
'[?]', # 0x38
'[?]', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?] ', # 0x80
'[?] ', # 0x81
'[?] ', # 0x82
'[?] ', # 0x83
'[?] ', # 0x84
'[?] ', # 0x85
'[?] ', # 0x86
'[?] ', # 0x87
'[?] ', # 0x88
'[?] ', # 0x89
'[?] ', # 0x8a
'[?] ', # 0x8b
'[?] ', # 0x8c
'[?] ', # 0x8d
'[?] ', # 0x8e
'[?] ', # 0x8f
'[?] ', # 0x90
'[?] ', # 0x91
'[?] ', # 0x92
'[?] ', # 0x93
'[?] ', # 0x94
'[?] ', # 0x95
'[?] ', # 0x96
'[?] ', # 0x97
'[?] ', # 0x98
'[?] ', # 0x99
'[?]', # 0x9a
'[?] ', # 0x9b
'[?] ', # 0x9c
'[?] ', # 0x9d
'[?] ', # 0x9e
'[?] ', # 0x9f
'[?] ', # 0xa0
'[?] ', # 0xa1
'[?] ', # 0xa2
'[?] ', # 0xa3
'[?] ', # 0xa4
'[?] ', # 0xa5
'[?] ', # 0xa6
'[?] ', # 0xa7
'[?] ', # 0xa8
'[?] ', # 0xa9
'[?] ', # 0xaa
'[?] ', # 0xab
'[?] ', # 0xac
'[?] ', # 0xad
'[?] ', # 0xae
'[?] ', # 0xaf
'[?] ', # 0xb0
'[?] ', # 0xb1
'[?] ', # 0xb2
'[?] ', # 0xb3
'[?] ', # 0xb4
'[?] ', # 0xb5
'[?] ', # 0xb6
'[?] ', # 0xb7
'[?] ', # 0xb8
'[?] ', # 0xb9
'[?] ', # 0xba
'[?] ', # 0xbb
'[?] ', # 0xbc
'[?] ', # 0xbd
'[?] ', # 0xbe
'[?] ', # 0xbf
'[?] ', # 0xc0
'[?] ', # 0xc1
'[?] ', # 0xc2
'[?] ', # 0xc3
'[?] ', # 0xc4
'[?] ', # 0xc5
'[?] ', # 0xc6
'[?] ', # 0xc7
'[?] ', # 0xc8
'[?] ', # 0xc9
'[?] ', # 0xca
'[?] ', # 0xcb
'[?] ', # 0xcc
'[?] ', # 0xcd
'[?] ', # 0xce
'[?] ', # 0xcf
'[?] ', # 0xd0
'[?] ', # 0xd1
'[?] ', # 0xd2
'[?] ', # 0xd3
'[?] ', # 0xd4
'[?] ', # 0xd5
'[?] ', # 0xd6
'[?] ', # 0xd7
'[?] ', # 0xd8
'[?] ', # 0xd9
'[?] ', # 0xda
'[?] ', # 0xdb
'[?] ', # 0xdc
'[?] ', # 0xdd
'[?] ', # 0xde
'[?] ', # 0xdf
'[?] ', # 0xe0
'[?] ', # 0xe1
'[?] ', # 0xe2
'[?] ', # 0xe3
'[?] ', # 0xe4
'[?] ', # 0xe5
'[?] ', # 0xe6
'[?] ', # 0xe7
'[?] ', # 0xe8
'[?] ', # 0xe9
'[?] ', # 0xea
'[?] ', # 0xeb
'[?] ', # 0xec
'[?] ', # 0xed
'[?] ', # 0xee
'[?] ', # 0xef
'[?] ', # 0xf0
'[?] ', # 0xf1
'[?] ', # 0xf2
'[?] ', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x02f = (
'[?] ', # 0x00
'[?] ', # 0x01
'[?] ', # 0x02
'[?] ', # 0x03
'[?] ', # 0x04
'[?] ', # 0x05
'[?] ', # 0x06
'[?] ', # 0x07
'[?] ', # 0x08
'[?] ', # 0x09
'[?] ', # 0x0a
'[?] ', # 0x0b
'[?] ', # 0x0c
'[?] ', # 0x0d
'[?] ', # 0x0e
'[?] ', # 0x0f
'[?] ', # 0x10
'[?] ', # 0x11
'[?] ', # 0x12
'[?] ', # 0x13
'[?] ', # 0x14
'[?] ', # 0x15
'[?] ', # 0x16
'[?] ', # 0x17
'[?] ', # 0x18
'[?] ', # 0x19
'[?] ', # 0x1a
'[?] ', # 0x1b
'[?] ', # 0x1c
'[?] ', # 0x1d
'[?] ', # 0x1e
'[?] ', # 0x1f
'[?] ', # 0x20
'[?] ', # 0x21
'[?] ', # 0x22
'[?] ', # 0x23
'[?] ', # 0x24
'[?] ', # 0x25
'[?] ', # 0x26
'[?] ', # 0x27
'[?] ', # 0x28
'[?] ', # 0x29
'[?] ', # 0x2a
'[?] ', # 0x2b
'[?] ', # 0x2c
'[?] ', # 0x2d
'[?] ', # 0x2e
'[?] ', # 0x2f
'[?] ', # 0x30
'[?] ', # 0x31
'[?] ', # 0x32
'[?] ', # 0x33
'[?] ', # 0x34
'[?] ', # 0x35
'[?] ', # 0x36
'[?] ', # 0x37
'[?] ', # 0x38
'[?] ', # 0x39
'[?] ', # 0x3a
'[?] ', # 0x3b
'[?] ', # 0x3c
'[?] ', # 0x3d
'[?] ', # 0x3e
'[?] ', # 0x3f
'[?] ', # 0x40
'[?] ', # 0x41
'[?] ', # 0x42
'[?] ', # 0x43
'[?] ', # 0x44
'[?] ', # 0x45
'[?] ', # 0x46
'[?] ', # 0x47
'[?] ', # 0x48
'[?] ', # 0x49
'[?] ', # 0x4a
'[?] ', # 0x4b
'[?] ', # 0x4c
'[?] ', # 0x4d
'[?] ', # 0x4e
'[?] ', # 0x4f
'[?] ', # 0x50
'[?] ', # 0x51
'[?] ', # 0x52
'[?] ', # 0x53
'[?] ', # 0x54
'[?] ', # 0x55
'[?] ', # 0x56
'[?] ', # 0x57
'[?] ', # 0x58
'[?] ', # 0x59
'[?] ', # 0x5a
'[?] ', # 0x5b
'[?] ', # 0x5c
'[?] ', # 0x5d
'[?] ', # 0x5e
'[?] ', # 0x5f
'[?] ', # 0x60
'[?] ', # 0x61
'[?] ', # 0x62
'[?] ', # 0x63
'[?] ', # 0x64
'[?] ', # 0x65
'[?] ', # 0x66
'[?] ', # 0x67
'[?] ', # 0x68
'[?] ', # 0x69
'[?] ', # 0x6a
'[?] ', # 0x6b
'[?] ', # 0x6c
'[?] ', # 0x6d
'[?] ', # 0x6e
'[?] ', # 0x6f
'[?] ', # 0x70
'[?] ', # 0x71
'[?] ', # 0x72
'[?] ', # 0x73
'[?] ', # 0x74
'[?] ', # 0x75
'[?] ', # 0x76
'[?] ', # 0x77
'[?] ', # 0x78
'[?] ', # 0x79
'[?] ', # 0x7a
'[?] ', # 0x7b
'[?] ', # 0x7c
'[?] ', # 0x7d
'[?] ', # 0x7e
'[?] ', # 0x7f
'[?] ', # 0x80
'[?] ', # 0x81
'[?] ', # 0x82
'[?] ', # 0x83
'[?] ', # 0x84
'[?] ', # 0x85
'[?] ', # 0x86
'[?] ', # 0x87
'[?] ', # 0x88
'[?] ', # 0x89
'[?] ', # 0x8a
'[?] ', # 0x8b
'[?] ', # 0x8c
'[?] ', # 0x8d
'[?] ', # 0x8e
'[?] ', # 0x8f
'[?] ', # 0x90
'[?] ', # 0x91
'[?] ', # 0x92
'[?] ', # 0x93
'[?] ', # 0x94
'[?] ', # 0x95
'[?] ', # 0x96
'[?] ', # 0x97
'[?] ', # 0x98
'[?] ', # 0x99
'[?] ', # 0x9a
'[?] ', # 0x9b
'[?] ', # 0x9c
'[?] ', # 0x9d
'[?] ', # 0x9e
'[?] ', # 0x9f
'[?] ', # 0xa0
'[?] ', # 0xa1
'[?] ', # 0xa2
'[?] ', # 0xa3
'[?] ', # 0xa4
'[?] ', # 0xa5
'[?] ', # 0xa6
'[?] ', # 0xa7
'[?] ', # 0xa8
'[?] ', # 0xa9
'[?] ', # 0xaa
'[?] ', # 0xab
'[?] ', # 0xac
'[?] ', # 0xad
'[?] ', # 0xae
'[?] ', # 0xaf
'[?] ', # 0xb0
'[?] ', # 0xb1
'[?] ', # 0xb2
'[?] ', # 0xb3
'[?] ', # 0xb4
'[?] ', # 0xb5
'[?] ', # 0xb6
'[?] ', # 0xb7
'[?] ', # 0xb8
'[?] ', # 0xb9
'[?] ', # 0xba
'[?] ', # 0xbb
'[?] ', # 0xbc
'[?] ', # 0xbd
'[?] ', # 0xbe
'[?] ', # 0xbf
'[?] ', # 0xc0
'[?] ', # 0xc1
'[?] ', # 0xc2
'[?] ', # 0xc3
'[?] ', # 0xc4
'[?] ', # 0xc5
'[?] ', # 0xc6
'[?] ', # 0xc7
'[?] ', # 0xc8
'[?] ', # 0xc9
'[?] ', # 0xca
'[?] ', # 0xcb
'[?] ', # 0xcc
'[?] ', # 0xcd
'[?] ', # 0xce
'[?] ', # 0xcf
'[?] ', # 0xd0
'[?] ', # 0xd1
'[?] ', # 0xd2
'[?] ', # 0xd3
'[?] ', # 0xd4
'[?] ', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?] ', # 0xf0
'[?] ', # 0xf1
'[?] ', # 0xf2
'[?] ', # 0xf3
'[?] ', # 0xf4
'[?] ', # 0xf5
'[?] ', # 0xf6
'[?] ', # 0xf7
'[?] ', # 0xf8
'[?] ', # 0xf9
'[?] ', # 0xfa
'[?] ', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x030 = (
' ', # 0x00
', ', # 0x01
'. ', # 0x02
'"', # 0x03
'[JIS]', # 0x04
'"', # 0x05
'/', # 0x06
'0', # 0x07
'<', # 0x08
'> ', # 0x09
'<<', # 0x0a
'>> ', # 0x0b
'[', # 0x0c
'] ', # 0x0d
'{', # 0x0e
'} ', # 0x0f
'[(', # 0x10
')] ', # 0x11
'@', # 0x12
'X ', # 0x13
'[', # 0x14
'] ', # 0x15
'[[', # 0x16
']] ', # 0x17
'((', # 0x18
')) ', # 0x19
'[[', # 0x1a
']] ', # 0x1b
'~ ', # 0x1c
'``', # 0x1d
'\'\'', # 0x1e
',,', # 0x1f
'@', # 0x20
'1', # 0x21
'2', # 0x22
'3', # 0x23
'4', # 0x24
'5', # 0x25
'6', # 0x26
'7', # 0x27
'8', # 0x28
'9', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'~', # 0x30
'+', # 0x31
'+', # 0x32
'+', # 0x33
'+', # 0x34
'', # 0x35
'@', # 0x36
' // ', # 0x37
'+10+', # 0x38
'+20+', # 0x39
'+30+', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'', # 0x3e
'', # 0x3f
'[?]', # 0x40
'a', # 0x41
'a', # 0x42
'i', # 0x43
'i', # 0x44
'u', # 0x45
'u', # 0x46
'e', # 0x47
'e', # 0x48
'o', # 0x49
'o', # 0x4a
'ka', # 0x4b
'ga', # 0x4c
'ki', # 0x4d
'gi', # 0x4e
'ku', # 0x4f
'gu', # 0x50
'ke', # 0x51
'ge', # 0x52
'ko', # 0x53
'go', # 0x54
'sa', # 0x55
'za', # 0x56
'shi', # 0x57
'zi', # 0x58
'su', # 0x59
'zu', # 0x5a
'se', # 0x5b
'ze', # 0x5c
'so', # 0x5d
'zo', # 0x5e
'ta', # 0x5f
'da', # 0x60
'chi', # 0x61
'di', # 0x62
'tsu', # 0x63
'tsu', # 0x64
'du', # 0x65
'te', # 0x66
'de', # 0x67
'to', # 0x68
'do', # 0x69
'na', # 0x6a
'ni', # 0x6b
'nu', # 0x6c
'ne', # 0x6d
'no', # 0x6e
'ha', # 0x6f
'ba', # 0x70
'pa', # 0x71
'hi', # 0x72
'bi', # 0x73
'pi', # 0x74
'hu', # 0x75
'bu', # 0x76
'pu', # 0x77
'he', # 0x78
'be', # 0x79
'pe', # 0x7a
'ho', # 0x7b
'bo', # 0x7c
'po', # 0x7d
'ma', # 0x7e
'mi', # 0x7f
'mu', # 0x80
'me', # 0x81
'mo', # 0x82
'ya', # 0x83
'ya', # 0x84
'yu', # 0x85
'yu', # 0x86
'yo', # 0x87
'yo', # 0x88
'ra', # 0x89
'ri', # 0x8a
'ru', # 0x8b
're', # 0x8c
'ro', # 0x8d
'wa', # 0x8e
'wa', # 0x8f
'wi', # 0x90
'we', # 0x91
'wo', # 0x92
'n', # 0x93
'vu', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'"', # 0x9d
'"', # 0x9e
'[?]', # 0x9f
'[?]', # 0xa0
'a', # 0xa1
'a', # 0xa2
'i', # 0xa3
'i', # 0xa4
'u', # 0xa5
'u', # 0xa6
'e', # 0xa7
'e', # 0xa8
'o', # 0xa9
'o', # 0xaa
'ka', # 0xab
'ga', # 0xac
'ki', # 0xad
'gi', # 0xae
'ku', # 0xaf
'gu', # 0xb0
'ke', # 0xb1
'ge', # 0xb2
'ko', # 0xb3
'go', # 0xb4
'sa', # 0xb5
'za', # 0xb6
'shi', # 0xb7
'zi', # 0xb8
'su', # 0xb9
'zu', # 0xba
'se', # 0xbb
'ze', # 0xbc
'so', # 0xbd
'zo', # 0xbe
'ta', # 0xbf
'da', # 0xc0
'chi', # 0xc1
'di', # 0xc2
'tsu', # 0xc3
'tsu', # 0xc4
'du', # 0xc5
'te', # 0xc6
'de', # 0xc7
'to', # 0xc8
'do', # 0xc9
'na', # 0xca
'ni', # 0xcb
'nu', # 0xcc
'ne', # 0xcd
'no', # 0xce
'ha', # 0xcf
'ba', # 0xd0
'pa', # 0xd1
'hi', # 0xd2
'bi', # 0xd3
'pi', # 0xd4
'hu', # 0xd5
'bu', # 0xd6
'pu', # 0xd7
'he', # 0xd8
'be', # 0xd9
'pe', # 0xda
'ho', # 0xdb
'bo', # 0xdc
'po', # 0xdd
'ma', # 0xde
'mi', # 0xdf
'mu', # 0xe0
'me', # 0xe1
'mo', # 0xe2
'ya', # 0xe3
'ya', # 0xe4
'yu', # 0xe5
'yu', # 0xe6
'yo', # 0xe7
'yo', # 0xe8
'ra', # 0xe9
'ri', # 0xea
'ru', # 0xeb
're', # 0xec
'ro', # 0xed
'wa', # 0xee
'wa', # 0xef
'wi', # 0xf0
'we', # 0xf1
'wo', # 0xf2
'n', # 0xf3
'vu', # 0xf4
'ka', # 0xf5
'ke', # 0xf6
'va', # 0xf7
'vi', # 0xf8
've', # 0xf9
'vo', # 0xfa
'', # 0xfb
'', # 0xfc
'"', # 0xfd
'"', # 0xfe
)
x031 = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'B', # 0x05
'P', # 0x06
'M', # 0x07
'F', # 0x08
'D', # 0x09
'T', # 0x0a
'N', # 0x0b
'L', # 0x0c
'G', # 0x0d
'K', # 0x0e
'H', # 0x0f
'J', # 0x10
'Q', # 0x11
'X', # 0x12
'ZH', # 0x13
'CH', # 0x14
'SH', # 0x15
'R', # 0x16
'Z', # 0x17
'C', # 0x18
'S', # 0x19
'A', # 0x1a
'O', # 0x1b
'E', # 0x1c
'EH', # 0x1d
'AI', # 0x1e
'EI', # 0x1f
'AU', # 0x20
'OU', # 0x21
'AN', # 0x22
'EN', # 0x23
'ANG', # 0x24
'ENG', # 0x25
'ER', # 0x26
'I', # 0x27
'U', # 0x28
'IU', # 0x29
'V', # 0x2a
'NG', # 0x2b
'GN', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'g', # 0x31
'gg', # 0x32
'gs', # 0x33
'n', # 0x34
'nj', # 0x35
'nh', # 0x36
'd', # 0x37
'dd', # 0x38
'r', # 0x39
'lg', # 0x3a
'lm', # 0x3b
'lb', # 0x3c
'ls', # 0x3d
'lt', # 0x3e
'lp', # 0x3f
'rh', # 0x40
'm', # 0x41
'b', # 0x42
'bb', # 0x43
'bs', # 0x44
's', # 0x45
'ss', # 0x46
'', # 0x47
'j', # 0x48
'jj', # 0x49
'c', # 0x4a
'k', # 0x4b
't', # 0x4c
'p', # 0x4d
'h', # 0x4e
'a', # 0x4f
'ae', # 0x50
'ya', # 0x51
'yae', # 0x52
'eo', # 0x53
'e', # 0x54
'yeo', # 0x55
'ye', # 0x56
'o', # 0x57
'wa', # 0x58
'wae', # 0x59
'oe', # 0x5a
'yo', # 0x5b
'u', # 0x5c
'weo', # 0x5d
'we', # 0x5e
'wi', # 0x5f
'yu', # 0x60
'eu', # 0x61
'yi', # 0x62
'i', # 0x63
'', # 0x64
'nn', # 0x65
'nd', # 0x66
'ns', # 0x67
'nZ', # 0x68
'lgs', # 0x69
'ld', # 0x6a
'lbs', # 0x6b
'lZ', # 0x6c
'lQ', # 0x6d
'mb', # 0x6e
'ms', # 0x6f
'mZ', # 0x70
'mN', # 0x71
'bg', # 0x72
'', # 0x73
'bsg', # 0x74
'bst', # 0x75
'bj', # 0x76
'bt', # 0x77
'bN', # 0x78
'bbN', # 0x79
'sg', # 0x7a
'sn', # 0x7b
'sd', # 0x7c
'sb', # 0x7d
'sj', # 0x7e
'Z', # 0x7f
'', # 0x80
'N', # 0x81
'Ns', # 0x82
'NZ', # 0x83
'pN', # 0x84
'hh', # 0x85
'Q', # 0x86
'yo-ya', # 0x87
'yo-yae', # 0x88
'yo-i', # 0x89
'yu-yeo', # 0x8a
'yu-ye', # 0x8b
'yu-i', # 0x8c
'U', # 0x8d
'U-i', # 0x8e
'[?]', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'BU', # 0xa0
'ZI', # 0xa1
'JI', # 0xa2
'GU', # 0xa3
'EE', # 0xa4
'ENN', # 0xa5
'OO', # 0xa6
'ONN', # 0xa7
'IR', # 0xa8
'ANN', # 0xa9
'INN', # 0xaa
'UNN', # 0xab
'IM', # 0xac
'NGG', # 0xad
'AINN', # 0xae
'AUNN', # 0xaf
'AM', # 0xb0
'OM', # 0xb1
'ONG', # 0xb2
'INNN', # 0xb3
'P', # 0xb4
'T', # 0xb5
'K', # 0xb6
'H', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x032 = (
'(g)', # 0x00
'(n)', # 0x01
'(d)', # 0x02
'(r)', # 0x03
'(m)', # 0x04
'(b)', # 0x05
'(s)', # 0x06
'()', # 0x07
'(j)', # 0x08
'(c)', # 0x09
'(k)', # 0x0a
'(t)', # 0x0b
'(p)', # 0x0c
'(h)', # 0x0d
'(ga)', # 0x0e
'(na)', # 0x0f
'(da)', # 0x10
'(ra)', # 0x11
'(ma)', # 0x12
'(ba)', # 0x13
'(sa)', # 0x14
'(a)', # 0x15
'(ja)', # 0x16
'(ca)', # 0x17
'(ka)', # 0x18
'(ta)', # 0x19
'(pa)', # 0x1a
'(ha)', # 0x1b
'(ju)', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'(1) ', # 0x20
'(2) ', # 0x21
'(3) ', # 0x22
'(4) ', # 0x23
'(5) ', # 0x24
'(6) ', # 0x25
'(7) ', # 0x26
'(8) ', # 0x27
'(9) ', # 0x28
'(10) ', # 0x29
'(Yue) ', # 0x2a
'(Huo) ', # 0x2b
'(Shui) ', # 0x2c
'(Mu) ', # 0x2d
'(Jin) ', # 0x2e
'(Tu) ', # 0x2f
'(Ri) ', # 0x30
'(Zhu) ', # 0x31
'(You) ', # 0x32
'(She) ', # 0x33
'(Ming) ', # 0x34
'(Te) ', # 0x35
'(Cai) ', # 0x36
'(Zhu) ', # 0x37
'(Lao) ', # 0x38
'(Dai) ', # 0x39
'(Hu) ', # 0x3a
'(Xue) ', # 0x3b
'(Jian) ', # 0x3c
'(Qi) ', # 0x3d
'(Zi) ', # 0x3e
'(Xie) ', # 0x3f
'(Ji) ', # 0x40
'(Xiu) ', # 0x41
'<<', # 0x42
'>>', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'21', # 0x51
'22', # 0x52
'23', # 0x53
'24', # 0x54
'25', # 0x55
'26', # 0x56
'27', # 0x57
'28', # 0x58
'29', # 0x59
'30', # 0x5a
'31', # 0x5b
'32', # 0x5c
'33', # 0x5d
'34', # 0x5e
'35', # 0x5f
'(g)', # 0x60
'(n)', # 0x61
'(d)', # 0x62
'(r)', # 0x63
'(m)', # 0x64
'(b)', # 0x65
'(s)', # 0x66
'()', # 0x67
'(j)', # 0x68
'(c)', # 0x69
'(k)', # 0x6a
'(t)', # 0x6b
'(p)', # 0x6c
'(h)', # 0x6d
'(ga)', # 0x6e
'(na)', # 0x6f
'(da)', # 0x70
'(ra)', # 0x71
'(ma)', # 0x72
'(ba)', # 0x73
'(sa)', # 0x74
'(a)', # 0x75
'(ja)', # 0x76
'(ca)', # 0x77
'(ka)', # 0x78
'(ta)', # 0x79
'(pa)', # 0x7a
'(ha)', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'KIS ', # 0x7f
'(1) ', # 0x80
'(2) ', # 0x81
'(3) ', # 0x82
'(4) ', # 0x83
'(5) ', # 0x84
'(6) ', # 0x85
'(7) ', # 0x86
'(8) ', # 0x87
'(9) ', # 0x88
'(10) ', # 0x89
'(Yue) ', # 0x8a
'(Huo) ', # 0x8b
'(Shui) ', # 0x8c
'(Mu) ', # 0x8d
'(Jin) ', # 0x8e
'(Tu) ', # 0x8f
'(Ri) ', # 0x90
'(Zhu) ', # 0x91
'(You) ', # 0x92
'(She) ', # 0x93
'(Ming) ', # 0x94
'(Te) ', # 0x95
'(Cai) ', # 0x96
'(Zhu) ', # 0x97
'(Lao) ', # 0x98
'(Mi) ', # 0x99
'(Nan) ', # 0x9a
'(Nu) ', # 0x9b
'(Shi) ', # 0x9c
'(You) ', # 0x9d
'(Yin) ', # 0x9e
'(Zhu) ', # 0x9f
'(Xiang) ', # 0xa0
'(Xiu) ', # 0xa1
'(Xie) ', # 0xa2
'(Zheng) ', # 0xa3
'(Shang) ', # 0xa4
'(Zhong) ', # 0xa5
'(Xia) ', # 0xa6
'(Zuo) ', # 0xa7
'(You) ', # 0xa8
'(Yi) ', # 0xa9
'(Zong) ', # 0xaa
'(Xue) ', # 0xab
'(Jian) ', # 0xac
'(Qi) ', # 0xad
'(Zi) ', # 0xae
'(Xie) ', # 0xaf
'(Ye) ', # 0xb0
'36', # 0xb1
'37', # 0xb2
'38', # 0xb3
'39', # 0xb4
'40', # 0xb5
'41', # 0xb6
'42', # 0xb7
'43', # 0xb8
'44', # 0xb9
'45', # 0xba
'46', # 0xbb
'47', # 0xbc
'48', # 0xbd
'49', # 0xbe
'50', # 0xbf
'1M', # 0xc0
'2M', # 0xc1
'3M', # 0xc2
'4M', # 0xc3
'5M', # 0xc4
'6M', # 0xc5
'7M', # 0xc6
'8M', # 0xc7
'9M', # 0xc8
'10M', # 0xc9
'11M', # 0xca
'12M', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'a', # 0xd0
'i', # 0xd1
'u', # 0xd2
'u', # 0xd3
'o', # 0xd4
'ka', # 0xd5
'ki', # 0xd6
'ku', # 0xd7
'ke', # 0xd8
'ko', # 0xd9
'sa', # 0xda
'si', # 0xdb
'su', # 0xdc
'se', # 0xdd
'so', # 0xde
'ta', # 0xdf
'ti', # 0xe0
'tu', # 0xe1
'te', # 0xe2
'to', # 0xe3
'na', # 0xe4
'ni', # 0xe5
'nu', # 0xe6
'ne', # 0xe7
'no', # 0xe8
'ha', # 0xe9
'hi', # 0xea
'hu', # 0xeb
'he', # 0xec
'ho', # 0xed
'ma', # 0xee
'mi', # 0xef
'mu', # 0xf0
'me', # 0xf1
'mo', # 0xf2
'ya', # 0xf3
'yu', # 0xf4
'yo', # 0xf5
'ra', # 0xf6
'ri', # 0xf7
'ru', # 0xf8
're', # 0xf9
'ro', # 0xfa
'wa', # 0xfb
'wi', # 0xfc
'we', # 0xfd
'wo', # 0xfe
)
x033 = (
'apartment', # 0x00
'alpha', # 0x01
'ampere', # 0x02
'are', # 0x03
'inning', # 0x04
'inch', # 0x05
'won', # 0x06
'escudo', # 0x07
'acre', # 0x08
'ounce', # 0x09
'ohm', # 0x0a
'kai-ri', # 0x0b
'carat', # 0x0c
'calorie', # 0x0d
'gallon', # 0x0e
'gamma', # 0x0f
'giga', # 0x10
'guinea', # 0x11
'curie', # 0x12
'guilder', # 0x13
'kilo', # 0x14
'kilogram', # 0x15
'kilometer', # 0x16
'kilowatt', # 0x17
'gram', # 0x18
'gram ton', # 0x19
'cruzeiro', # 0x1a
'krone', # 0x1b
'case', # 0x1c
'koruna', # 0x1d
'co-op', # 0x1e
'cycle', # 0x1f
'centime', # 0x20
'shilling', # 0x21
'centi', # 0x22
'cent', # 0x23
'dozen', # 0x24
'desi', # 0x25
'dollar', # 0x26
'ton', # 0x27
'nano', # 0x28
'knot', # 0x29
'heights', # 0x2a
'percent', # 0x2b
'parts', # 0x2c
'barrel', # 0x2d
'piaster', # 0x2e
'picul', # 0x2f
'pico', # 0x30
'building', # 0x31
'farad', # 0x32
'feet', # 0x33
'bushel', # 0x34
'franc', # 0x35
'hectare', # 0x36
'peso', # 0x37
'pfennig', # 0x38
'hertz', # 0x39
'pence', # 0x3a
'page', # 0x3b
'beta', # 0x3c
'point', # 0x3d
'volt', # 0x3e
'hon', # 0x3f
'pound', # 0x40
'hall', # 0x41
'horn', # 0x42
'micro', # 0x43
'mile', # 0x44
'mach', # 0x45
'mark', # 0x46
'mansion', # 0x47
'micron', # 0x48
'milli', # 0x49
'millibar', # 0x4a
'mega', # 0x4b
'megaton', # 0x4c
'meter', # 0x4d
'yard', # 0x4e
'yard', # 0x4f
'yuan', # 0x50
'liter', # 0x51
'lira', # 0x52
'rupee', # 0x53
'ruble', # 0x54
'rem', # 0x55
'roentgen', # 0x56
'watt', # 0x57
'0h', # 0x58
'1h', # 0x59
'2h', # 0x5a
'3h', # 0x5b
'4h', # 0x5c
'5h', # 0x5d
'6h', # 0x5e
'7h', # 0x5f
'8h', # 0x60
'9h', # 0x61
'10h', # 0x62
'11h', # 0x63
'12h', # 0x64
'13h', # 0x65
'14h', # 0x66
'15h', # 0x67
'16h', # 0x68
'17h', # 0x69
'18h', # 0x6a
'19h', # 0x6b
'20h', # 0x6c
'21h', # 0x6d
'22h', # 0x6e
'23h', # 0x6f
'24h', # 0x70
'HPA', # 0x71
'da', # 0x72
'AU', # 0x73
'bar', # 0x74
'oV', # 0x75
'pc', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'Heisei', # 0x7b
'Syouwa', # 0x7c
'Taisyou', # 0x7d
'Meiji', # 0x7e
'Inc.', # 0x7f
'pA', # 0x80
'nA', # 0x81
'microamp', # 0x82
'mA', # 0x83
'kA', # 0x84
'kB', # 0x85
'MB', # 0x86
'GB', # 0x87
'cal', # 0x88
'kcal', # 0x89
'pF', # 0x8a
'nF', # 0x8b
'microFarad', # 0x8c
'microgram', # 0x8d
'mg', # 0x8e
'kg', # 0x8f
'Hz', # 0x90
'kHz', # 0x91
'MHz', # 0x92
'GHz', # 0x93
'THz', # 0x94
'microliter', # 0x95
'ml', # 0x96
'dl', # 0x97
'kl', # 0x98
'fm', # 0x99
'nm', # 0x9a
'micrometer', # 0x9b
'mm', # 0x9c
'cm', # 0x9d
'km', # 0x9e
'mm^2', # 0x9f
'cm^2', # 0xa0
'm^2', # 0xa1
'km^2', # 0xa2
'mm^4', # 0xa3
'cm^3', # 0xa4
'm^3', # 0xa5
'km^3', # 0xa6
'm/s', # 0xa7
'm/s^2', # 0xa8
'Pa', # 0xa9
'kPa', # 0xaa
'MPa', # 0xab
'GPa', # 0xac
'rad', # 0xad
'rad/s', # 0xae
'rad/s^2', # 0xaf
'ps', # 0xb0
'ns', # 0xb1
'microsecond', # 0xb2
'ms', # 0xb3
'pV', # 0xb4
'nV', # 0xb5
'microvolt', # 0xb6
'mV', # 0xb7
'kV', # 0xb8
'MV', # 0xb9
'pW', # 0xba
'nW', # 0xbb
'microwatt', # 0xbc
'mW', # 0xbd
'kW', # 0xbe
'MW', # 0xbf
'kOhm', # 0xc0
'MOhm', # 0xc1
'a.m.', # 0xc2
'Bq', # 0xc3
'cc', # 0xc4
'cd', # 0xc5
'C/kg', # 0xc6
'Co.', # 0xc7
'dB', # 0xc8
'Gy', # 0xc9
'ha', # 0xca
'HP', # 0xcb
'in', # 0xcc
'K.K.', # 0xcd
'KM', # 0xce
'kt', # 0xcf
'lm', # 0xd0
'ln', # 0xd1
'log', # 0xd2
'lx', # 0xd3
'mb', # 0xd4
'mil', # 0xd5
'mol', # 0xd6
'pH', # 0xd7
'p.m.', # 0xd8
'PPM', # 0xd9
'PR', # 0xda
'sr', # 0xdb
'Sv', # 0xdc
'Wb', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'1d', # 0xe0
'2d', # 0xe1
'3d', # 0xe2
'4d', # 0xe3
'5d', # 0xe4
'6d', # 0xe5
'7d', # 0xe6
'8d', # 0xe7
'9d', # 0xe8
'10d', # 0xe9
'11d', # 0xea
'12d', # 0xeb
'13d', # 0xec
'14d', # 0xed
'15d', # 0xee
'16d', # 0xef
'17d', # 0xf0
'18d', # 0xf1
'19d', # 0xf2
'20d', # 0xf3
'21d', # 0xf4
'22d', # 0xf5
'23d', # 0xf6
'24d', # 0xf7
'25d', # 0xf8
'26d', # 0xf9
'27d', # 0xfa
'28d', # 0xfb
'29d', # 0xfc
'30d', # 0xfd
'31d', # 0xfe
)
x04d = (
'[?] ', # 0x00
'[?] ', # 0x01
'[?] ', # 0x02
'[?] ', # 0x03
'[?] ', # 0x04
'[?] ', # 0x05
'[?] ', # 0x06
'[?] ', # 0x07
'[?] ', # 0x08
'[?] ', # 0x09
'[?] ', # 0x0a
'[?] ', # 0x0b
'[?] ', # 0x0c
'[?] ', # 0x0d
'[?] ', # 0x0e
'[?] ', # 0x0f
'[?] ', # 0x10
'[?] ', # 0x11
'[?] ', # 0x12
'[?] ', # 0x13
'[?] ', # 0x14
'[?] ', # 0x15
'[?] ', # 0x16
'[?] ', # 0x17
'[?] ', # 0x18
'[?] ', # 0x19
'[?] ', # 0x1a
'[?] ', # 0x1b
'[?] ', # 0x1c
'[?] ', # 0x1d
'[?] ', # 0x1e
'[?] ', # 0x1f
'[?] ', # 0x20
'[?] ', # 0x21
'[?] ', # 0x22
'[?] ', # 0x23
'[?] ', # 0x24
'[?] ', # 0x25
'[?] ', # 0x26
'[?] ', # 0x27
'[?] ', # 0x28
'[?] ', # 0x29
'[?] ', # 0x2a
'[?] ', # 0x2b
'[?] ', # 0x2c
'[?] ', # 0x2d
'[?] ', # 0x2e
'[?] ', # 0x2f
'[?] ', # 0x30
'[?] ', # 0x31
'[?] ', # 0x32
'[?] ', # 0x33
'[?] ', # 0x34
'[?] ', # 0x35
'[?] ', # 0x36
'[?] ', # 0x37
'[?] ', # 0x38
'[?] ', # 0x39
'[?] ', # 0x3a
'[?] ', # 0x3b
'[?] ', # 0x3c
'[?] ', # 0x3d
'[?] ', # 0x3e
'[?] ', # 0x3f
'[?] ', # 0x40
'[?] ', # 0x41
'[?] ', # 0x42
'[?] ', # 0x43
'[?] ', # 0x44
'[?] ', # 0x45
'[?] ', # 0x46
'[?] ', # 0x47
'[?] ', # 0x48
'[?] ', # 0x49
'[?] ', # 0x4a
'[?] ', # 0x4b
'[?] ', # 0x4c
'[?] ', # 0x4d
'[?] ', # 0x4e
'[?] ', # 0x4f
'[?] ', # 0x50
'[?] ', # 0x51
'[?] ', # 0x52
'[?] ', # 0x53
'[?] ', # 0x54
'[?] ', # 0x55
'[?] ', # 0x56
'[?] ', # 0x57
'[?] ', # 0x58
'[?] ', # 0x59
'[?] ', # 0x5a
'[?] ', # 0x5b
'[?] ', # 0x5c
'[?] ', # 0x5d
'[?] ', # 0x5e
'[?] ', # 0x5f
'[?] ', # 0x60
'[?] ', # 0x61
'[?] ', # 0x62
'[?] ', # 0x63
'[?] ', # 0x64
'[?] ', # 0x65
'[?] ', # 0x66
'[?] ', # 0x67
'[?] ', # 0x68
'[?] ', # 0x69
'[?] ', # 0x6a
'[?] ', # 0x6b
'[?] ', # 0x6c
'[?] ', # 0x6d
'[?] ', # 0x6e
'[?] ', # 0x6f
'[?] ', # 0x70
'[?] ', # 0x71
'[?] ', # 0x72
'[?] ', # 0x73
'[?] ', # 0x74
'[?] ', # 0x75
'[?] ', # 0x76
'[?] ', # 0x77
'[?] ', # 0x78
'[?] ', # 0x79
'[?] ', # 0x7a
'[?] ', # 0x7b
'[?] ', # 0x7c
'[?] ', # 0x7d
'[?] ', # 0x7e
'[?] ', # 0x7f
'[?] ', # 0x80
'[?] ', # 0x81
'[?] ', # 0x82
'[?] ', # 0x83
'[?] ', # 0x84
'[?] ', # 0x85
'[?] ', # 0x86
'[?] ', # 0x87
'[?] ', # 0x88
'[?] ', # 0x89
'[?] ', # 0x8a
'[?] ', # 0x8b
'[?] ', # 0x8c
'[?] ', # 0x8d
'[?] ', # 0x8e
'[?] ', # 0x8f
'[?] ', # 0x90
'[?] ', # 0x91
'[?] ', # 0x92
'[?] ', # 0x93
'[?] ', # 0x94
'[?] ', # 0x95
'[?] ', # 0x96
'[?] ', # 0x97
'[?] ', # 0x98
'[?] ', # 0x99
'[?] ', # 0x9a
'[?] ', # 0x9b
'[?] ', # 0x9c
'[?] ', # 0x9d
'[?] ', # 0x9e
'[?] ', # 0x9f
'[?] ', # 0xa0
'[?] ', # 0xa1
'[?] ', # 0xa2
'[?] ', # 0xa3
'[?] ', # 0xa4
'[?] ', # 0xa5
'[?] ', # 0xa6
'[?] ', # 0xa7
'[?] ', # 0xa8
'[?] ', # 0xa9
'[?] ', # 0xaa
'[?] ', # 0xab
'[?] ', # 0xac
'[?] ', # 0xad
'[?] ', # 0xae
'[?] ', # 0xaf
'[?] ', # 0xb0
'[?] ', # 0xb1
'[?] ', # 0xb2
'[?] ', # 0xb3
'[?] ', # 0xb4
'[?] ', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x04e = (
'Yi ', # 0x00
'Ding ', # 0x01
'Kao ', # 0x02
'Qi ', # 0x03
'Shang ', # 0x04
'Xia ', # 0x05
'[?] ', # 0x06
'Mo ', # 0x07
'Zhang ', # 0x08
'San ', # 0x09
'Shang ', # 0x0a
'Xia ', # 0x0b
'Ji ', # 0x0c
'Bu ', # 0x0d
'Yu ', # 0x0e
'Mian ', # 0x0f
'Gai ', # 0x10
'Chou ', # 0x11
'Chou ', # 0x12
'Zhuan ', # 0x13
'Qie ', # 0x14
'Pi ', # 0x15
'Shi ', # 0x16
'Shi ', # 0x17
'Qiu ', # 0x18
'Bing ', # 0x19
'Ye ', # 0x1a
'Cong ', # 0x1b
'Dong ', # 0x1c
'Si ', # 0x1d
'Cheng ', # 0x1e
'Diu ', # 0x1f
'Qiu ', # 0x20
'Liang ', # 0x21
'Diu ', # 0x22
'You ', # 0x23
'Liang ', # 0x24
'Yan ', # 0x25
'Bing ', # 0x26
'Sang ', # 0x27
'Gun ', # 0x28
'Jiu ', # 0x29
'Ge ', # 0x2a
'Ya ', # 0x2b
'Qiang ', # 0x2c
'Zhong ', # 0x2d
'Ji ', # 0x2e
'Jie ', # 0x2f
'Feng ', # 0x30
'Guan ', # 0x31
'Chuan ', # 0x32
'Chan ', # 0x33
'Lin ', # 0x34
'Zhuo ', # 0x35
'Zhu ', # 0x36
'Ha ', # 0x37
'Wan ', # 0x38
'Dan ', # 0x39
'Wei ', # 0x3a
'Zhu ', # 0x3b
'Jing ', # 0x3c
'Li ', # 0x3d
'Ju ', # 0x3e
'Pie ', # 0x3f
'Fu ', # 0x40
'Yi ', # 0x41
'Yi ', # 0x42
'Nai ', # 0x43
'Shime ', # 0x44
'Jiu ', # 0x45
'Jiu ', # 0x46
'Zhe ', # 0x47
'Yao ', # 0x48
'Yi ', # 0x49
'[?] ', # 0x4a
'Zhi ', # 0x4b
'Wu ', # 0x4c
'Zha ', # 0x4d
'Hu ', # 0x4e
'Fa ', # 0x4f
'Le ', # 0x50
'Zhong ', # 0x51
'Ping ', # 0x52
'Pang ', # 0x53
'Qiao ', # 0x54
'Hu ', # 0x55
'Guai ', # 0x56
'Cheng ', # 0x57
'Cheng ', # 0x58
'Yi ', # 0x59
'Yin ', # 0x5a
'[?] ', # 0x5b
'Mie ', # 0x5c
'Jiu ', # 0x5d
'Qi ', # 0x5e
'Ye ', # 0x5f
'Xi ', # 0x60
'Xiang ', # 0x61
'Gai ', # 0x62
'Diu ', # 0x63
'Hal ', # 0x64
'[?] ', # 0x65
'Shu ', # 0x66
'Twul ', # 0x67
'Shi ', # 0x68
'Ji ', # 0x69
'Nang ', # 0x6a
'Jia ', # 0x6b
'Kel ', # 0x6c
'Shi ', # 0x6d
'[?] ', # 0x6e
'Ol ', # 0x6f
'Mai ', # 0x70
'Luan ', # 0x71
'Cal ', # 0x72
'Ru ', # 0x73
'Xue ', # 0x74
'Yan ', # 0x75
'Fu ', # 0x76
'Sha ', # 0x77
'Na ', # 0x78
'Gan ', # 0x79
'Sol ', # 0x7a
'El ', # 0x7b
'Cwul ', # 0x7c
'[?] ', # 0x7d
'Gan ', # 0x7e
'Chi ', # 0x7f
'Gui ', # 0x80
'Gan ', # 0x81
'Luan ', # 0x82
'Lin ', # 0x83
'Yi ', # 0x84
'Jue ', # 0x85
'Liao ', # 0x86
'Ma ', # 0x87
'Yu ', # 0x88
'Zheng ', # 0x89
'Shi ', # 0x8a
'Shi ', # 0x8b
'Er ', # 0x8c
'Chu ', # 0x8d
'Yu ', # 0x8e
'Yu ', # 0x8f
'Yu ', # 0x90
'Yun ', # 0x91
'Hu ', # 0x92
'Qi ', # 0x93
'Wu ', # 0x94
'Jing ', # 0x95
'Si ', # 0x96
'Sui ', # 0x97
'Gen ', # 0x98
'Gen ', # 0x99
'Ya ', # 0x9a
'Xie ', # 0x9b
'Ya ', # 0x9c
'Qi ', # 0x9d
'Ya ', # 0x9e
'Ji ', # 0x9f
'Tou ', # 0xa0
'Wang ', # 0xa1
'Kang ', # 0xa2
'Ta ', # 0xa3
'Jiao ', # 0xa4
'Hai ', # 0xa5
'Yi ', # 0xa6
'Chan ', # 0xa7
'Heng ', # 0xa8
'Mu ', # 0xa9
'[?] ', # 0xaa
'Xiang ', # 0xab
'Jing ', # 0xac
'Ting ', # 0xad
'Liang ', # 0xae
'Xiang ', # 0xaf
'Jing ', # 0xb0
'Ye ', # 0xb1
'Qin ', # 0xb2
'Bo ', # 0xb3
'You ', # 0xb4
'Xie ', # 0xb5
'Dan ', # 0xb6
'Lian ', # 0xb7
'Duo ', # 0xb8
'Wei ', # 0xb9
'Ren ', # 0xba
'Ren ', # 0xbb
'Ji ', # 0xbc
'La ', # 0xbd
'Wang ', # 0xbe
'Yi ', # 0xbf
'Shi ', # 0xc0
'Ren ', # 0xc1
'Le ', # 0xc2
'Ding ', # 0xc3
'Ze ', # 0xc4
'Jin ', # 0xc5
'Pu ', # 0xc6
'Chou ', # 0xc7
'Ba ', # 0xc8
'Zhang ', # 0xc9
'Jin ', # 0xca
'Jie ', # 0xcb
'Bing ', # 0xcc
'Reng ', # 0xcd
'Cong ', # 0xce
'Fo ', # 0xcf
'San ', # 0xd0
'Lun ', # 0xd1
'Sya ', # 0xd2
'Cang ', # 0xd3
'Zi ', # 0xd4
'Shi ', # 0xd5
'Ta ', # 0xd6
'Zhang ', # 0xd7
'Fu ', # 0xd8
'Xian ', # 0xd9
'Xian ', # 0xda
'Tuo ', # 0xdb
'Hong ', # 0xdc
'Tong ', # 0xdd
'Ren ', # 0xde
'Qian ', # 0xdf
'Gan ', # 0xe0
'Yi ', # 0xe1
'Di ', # 0xe2
'Dai ', # 0xe3
'Ling ', # 0xe4
'Yi ', # 0xe5
'Chao ', # 0xe6
'Chang ', # 0xe7
'Sa ', # 0xe8
'[?] ', # 0xe9
'Yi ', # 0xea
'Mu ', # 0xeb
'Men ', # 0xec
'Ren ', # 0xed
'Jia ', # 0xee
'Chao ', # 0xef
'Yang ', # 0xf0
'Qian ', # 0xf1
'Zhong ', # 0xf2
'Pi ', # 0xf3
'Wan ', # 0xf4
'Wu ', # 0xf5
'Jian ', # 0xf6
'Jie ', # 0xf7
'Yao ', # 0xf8
'Feng ', # 0xf9
'Cang ', # 0xfa
'Ren ', # 0xfb
'Wang ', # 0xfc
'Fen ', # 0xfd
'Di ', # 0xfe
'Fang ', # 0xff
)
x04f = (
'Zhong ', # 0x00
'Qi ', # 0x01
'Pei ', # 0x02
'Yu ', # 0x03
'Diao ', # 0x04
'Dun ', # 0x05
'Wen ', # 0x06
'Yi ', # 0x07
'Xin ', # 0x08
'Kang ', # 0x09
'Yi ', # 0x0a
'Ji ', # 0x0b
'Ai ', # 0x0c
'Wu ', # 0x0d
'Ji ', # 0x0e
'Fu ', # 0x0f
'Fa ', # 0x10
'Xiu ', # 0x11
'Jin ', # 0x12
'Bei ', # 0x13
'Dan ', # 0x14
'Fu ', # 0x15
'Tang ', # 0x16
'Zhong ', # 0x17
'You ', # 0x18
'Huo ', # 0x19
'Hui ', # 0x1a
'Yu ', # 0x1b
'Cui ', # 0x1c
'Chuan ', # 0x1d
'San ', # 0x1e
'Wei ', # 0x1f
'Chuan ', # 0x20
'Che ', # 0x21
'Ya ', # 0x22
'Xian ', # 0x23
'Shang ', # 0x24
'Chang ', # 0x25
'Lun ', # 0x26
'Cang ', # 0x27
'Xun ', # 0x28
'Xin ', # 0x29
'Wei ', # 0x2a
'Zhu ', # 0x2b
'[?] ', # 0x2c
'Xuan ', # 0x2d
'Nu ', # 0x2e
'Bo ', # 0x2f
'Gu ', # 0x30
'Ni ', # 0x31
'Ni ', # 0x32
'Xie ', # 0x33
'Ban ', # 0x34
'Xu ', # 0x35
'Ling ', # 0x36
'Zhou ', # 0x37
'Shen ', # 0x38
'Qu ', # 0x39
'Si ', # 0x3a
'Beng ', # 0x3b
'Si ', # 0x3c
'Jia ', # 0x3d
'Pi ', # 0x3e
'Yi ', # 0x3f
'Si ', # 0x40
'Ai ', # 0x41
'Zheng ', # 0x42
'Dian ', # 0x43
'Han ', # 0x44
'Mai ', # 0x45
'Dan ', # 0x46
'Zhu ', # 0x47
'Bu ', # 0x48
'Qu ', # 0x49
'Bi ', # 0x4a
'Shao ', # 0x4b
'Ci ', # 0x4c
'Wei ', # 0x4d
'Di ', # 0x4e
'Zhu ', # 0x4f
'Zuo ', # 0x50
'You ', # 0x51
'Yang ', # 0x52
'Ti ', # 0x53
'Zhan ', # 0x54
'He ', # 0x55
'Bi ', # 0x56
'Tuo ', # 0x57
'She ', # 0x58
'Yu ', # 0x59
'Yi ', # 0x5a
'Fo ', # 0x5b
'Zuo ', # 0x5c
'Kou ', # 0x5d
'Ning ', # 0x5e
'Tong ', # 0x5f
'Ni ', # 0x60
'Xuan ', # 0x61
'Qu ', # 0x62
'Yong ', # 0x63
'Wa ', # 0x64
'Qian ', # 0x65
'[?] ', # 0x66
'Ka ', # 0x67
'[?] ', # 0x68
'Pei ', # 0x69
'Huai ', # 0x6a
'He ', # 0x6b
'Lao ', # 0x6c
'Xiang ', # 0x6d
'Ge ', # 0x6e
'Yang ', # 0x6f
'Bai ', # 0x70
'Fa ', # 0x71
'Ming ', # 0x72
'Jia ', # 0x73
'Er ', # 0x74
'Bing ', # 0x75
'Ji ', # 0x76
'Hen ', # 0x77
'Huo ', # 0x78
'Gui ', # 0x79
'Quan ', # 0x7a
'Tiao ', # 0x7b
'Jiao ', # 0x7c
'Ci ', # 0x7d
'Yi ', # 0x7e
'Shi ', # 0x7f
'Xing ', # 0x80
'Shen ', # 0x81
'Tuo ', # 0x82
'Kan ', # 0x83
'Zhi ', # 0x84
'Gai ', # 0x85
'Lai ', # 0x86
'Yi ', # 0x87
'Chi ', # 0x88
'Kua ', # 0x89
'Guang ', # 0x8a
'Li ', # 0x8b
'Yin ', # 0x8c
'Shi ', # 0x8d
'Mi ', # 0x8e
'Zhu ', # 0x8f
'Xu ', # 0x90
'You ', # 0x91
'An ', # 0x92
'Lu ', # 0x93
'Mou ', # 0x94
'Er ', # 0x95
'Lun ', # 0x96
'Tong ', # 0x97
'Cha ', # 0x98
'Chi ', # 0x99
'Xun ', # 0x9a
'Gong ', # 0x9b
'Zhou ', # 0x9c
'Yi ', # 0x9d
'Ru ', # 0x9e
'Jian ', # 0x9f
'Xia ', # 0xa0
'Jia ', # 0xa1
'Zai ', # 0xa2
'Lu ', # 0xa3
'Ko ', # 0xa4
'Jiao ', # 0xa5
'Zhen ', # 0xa6
'Ce ', # 0xa7
'Qiao ', # 0xa8
'Kuai ', # 0xa9
'Chai ', # 0xaa
'Ning ', # 0xab
'Nong ', # 0xac
'Jin ', # 0xad
'Wu ', # 0xae
'Hou ', # 0xaf
'Jiong ', # 0xb0
'Cheng ', # 0xb1
'Zhen ', # 0xb2
'Zuo ', # 0xb3
'Chou ', # 0xb4
'Qin ', # 0xb5
'Lu ', # 0xb6
'Ju ', # 0xb7
'Shu ', # 0xb8
'Ting ', # 0xb9
'Shen ', # 0xba
'Tuo ', # 0xbb
'Bo ', # 0xbc
'Nan ', # 0xbd
'Hao ', # 0xbe
'Bian ', # 0xbf
'Tui ', # 0xc0
'Yu ', # 0xc1
'Xi ', # 0xc2
'Cu ', # 0xc3
'E ', # 0xc4
'Qiu ', # 0xc5
'Xu ', # 0xc6
'Kuang ', # 0xc7
'Ku ', # 0xc8
'Wu ', # 0xc9
'Jun ', # 0xca
'Yi ', # 0xcb
'Fu ', # 0xcc
'Lang ', # 0xcd
'Zu ', # 0xce
'Qiao ', # 0xcf
'Li ', # 0xd0
'Yong ', # 0xd1
'Hun ', # 0xd2
'Jing ', # 0xd3
'Xian ', # 0xd4
'San ', # 0xd5
'Pai ', # 0xd6
'Su ', # 0xd7
'Fu ', # 0xd8
'Xi ', # 0xd9
'Li ', # 0xda
'Fu ', # 0xdb
'Ping ', # 0xdc
'Bao ', # 0xdd
'Yu ', # 0xde
'Si ', # 0xdf
'Xia ', # 0xe0
'Xin ', # 0xe1
'Xiu ', # 0xe2
'Yu ', # 0xe3
'Ti ', # 0xe4
'Che ', # 0xe5
'Chou ', # 0xe6
'[?] ', # 0xe7
'Yan ', # 0xe8
'Lia ', # 0xe9
'Li ', # 0xea
'Lai ', # 0xeb
'[?] ', # 0xec
'Jian ', # 0xed
'Xiu ', # 0xee
'Fu ', # 0xef
'He ', # 0xf0
'Ju ', # 0xf1
'Xiao ', # 0xf2
'Pai ', # 0xf3
'Jian ', # 0xf4
'Biao ', # 0xf5
'Chu ', # 0xf6
'Fei ', # 0xf7
'Feng ', # 0xf8
'Ya ', # 0xf9
'An ', # 0xfa
'Bei ', # 0xfb
'Yu ', # 0xfc
'Xin ', # 0xfd
'Bi ', # 0xfe
'Jian ', # 0xff
)
x050 = (
'Chang ', # 0x00
'Chi ', # 0x01
'Bing ', # 0x02
'Zan ', # 0x03
'Yao ', # 0x04
'Cui ', # 0x05
'Lia ', # 0x06
'Wan ', # 0x07
'Lai ', # 0x08
'Cang ', # 0x09
'Zong ', # 0x0a
'Ge ', # 0x0b
'Guan ', # 0x0c
'Bei ', # 0x0d
'Tian ', # 0x0e
'Shu ', # 0x0f
'Shu ', # 0x10
'Men ', # 0x11
'Dao ', # 0x12
'Tan ', # 0x13
'Jue ', # 0x14
'Chui ', # 0x15
'Xing ', # 0x16
'Peng ', # 0x17
'Tang ', # 0x18
'Hou ', # 0x19
'Yi ', # 0x1a
'Qi ', # 0x1b
'Ti ', # 0x1c
'Gan ', # 0x1d
'Jing ', # 0x1e
'Jie ', # 0x1f
'Sui ', # 0x20
'Chang ', # 0x21
'Jie ', # 0x22
'Fang ', # 0x23
'Zhi ', # 0x24
'Kong ', # 0x25
'Juan ', # 0x26
'Zong ', # 0x27
'Ju ', # 0x28
'Qian ', # 0x29
'Ni ', # 0x2a
'Lun ', # 0x2b
'Zhuo ', # 0x2c
'Wei ', # 0x2d
'Luo ', # 0x2e
'Song ', # 0x2f
'Leng ', # 0x30
'Hun ', # 0x31
'Dong ', # 0x32
'Zi ', # 0x33
'Ben ', # 0x34
'Wu ', # 0x35
'Ju ', # 0x36
'Nai ', # 0x37
'Cai ', # 0x38
'Jian ', # 0x39
'Zhai ', # 0x3a
'Ye ', # 0x3b
'Zhi ', # 0x3c
'Sha ', # 0x3d
'Qing ', # 0x3e
'[?] ', # 0x3f
'Ying ', # 0x40
'Cheng ', # 0x41
'Jian ', # 0x42
'Yan ', # 0x43
'Nuan ', # 0x44
'Zhong ', # 0x45
'Chun ', # 0x46
'Jia ', # 0x47
'Jie ', # 0x48
'Wei ', # 0x49
'Yu ', # 0x4a
'Bing ', # 0x4b
'Ruo ', # 0x4c
'Ti ', # 0x4d
'Wei ', # 0x4e
'Pian ', # 0x4f
'Yan ', # 0x50
'Feng ', # 0x51
'Tang ', # 0x52
'Wo ', # 0x53
'E ', # 0x54
'Xie ', # 0x55
'Che ', # 0x56
'Sheng ', # 0x57
'Kan ', # 0x58
'Di ', # 0x59
'Zuo ', # 0x5a
'Cha ', # 0x5b
'Ting ', # 0x5c
'Bei ', # 0x5d
'Ye ', # 0x5e
'Huang ', # 0x5f
'Yao ', # 0x60
'Zhan ', # 0x61
'Chou ', # 0x62
'Yan ', # 0x63
'You ', # 0x64
'Jian ', # 0x65
'Xu ', # 0x66
'Zha ', # 0x67
'Ci ', # 0x68
'Fu ', # 0x69
'Bi ', # 0x6a
'Zhi ', # 0x6b
'Zong ', # 0x6c
'Mian ', # 0x6d
'Ji ', # 0x6e
'Yi ', # 0x6f
'Xie ', # 0x70
'Xun ', # 0x71
'Si ', # 0x72
'Duan ', # 0x73
'Ce ', # 0x74
'Zhen ', # 0x75
'Ou ', # 0x76
'Tou ', # 0x77
'Tou ', # 0x78
'Bei ', # 0x79
'Za ', # 0x7a
'Lu ', # 0x7b
'Jie ', # 0x7c
'Wei ', # 0x7d
'Fen ', # 0x7e
'Chang ', # 0x7f
'Gui ', # 0x80
'Sou ', # 0x81
'Zhi ', # 0x82
'Su ', # 0x83
'Xia ', # 0x84
'Fu ', # 0x85
'Yuan ', # 0x86
'Rong ', # 0x87
'Li ', # 0x88
'Ru ', # 0x89
'Yun ', # 0x8a
'Gou ', # 0x8b
'Ma ', # 0x8c
'Bang ', # 0x8d
'Dian ', # 0x8e
'Tang ', # 0x8f
'Hao ', # 0x90
'Jie ', # 0x91
'Xi ', # 0x92
'Shan ', # 0x93
'Qian ', # 0x94
'Jue ', # 0x95
'Cang ', # 0x96
'Chu ', # 0x97
'San ', # 0x98
'Bei ', # 0x99
'Xiao ', # 0x9a
'Yong ', # 0x9b
'Yao ', # 0x9c
'Tan ', # 0x9d
'Suo ', # 0x9e
'Yang ', # 0x9f
'Fa ', # 0xa0
'Bing ', # 0xa1
'Jia ', # 0xa2
'Dai ', # 0xa3
'Zai ', # 0xa4
'Tang ', # 0xa5
'[?] ', # 0xa6
'Bin ', # 0xa7
'Chu ', # 0xa8
'Nuo ', # 0xa9
'Can ', # 0xaa
'Lei ', # 0xab
'Cui ', # 0xac
'Yong ', # 0xad
'Zao ', # 0xae
'Zong ', # 0xaf
'Peng ', # 0xb0
'Song ', # 0xb1
'Ao ', # 0xb2
'Chuan ', # 0xb3
'Yu ', # 0xb4
'Zhai ', # 0xb5
'Cou ', # 0xb6
'Shang ', # 0xb7
'Qiang ', # 0xb8
'Jing ', # 0xb9
'Chi ', # 0xba
'Sha ', # 0xbb
'Han ', # 0xbc
'Zhang ', # 0xbd
'Qing ', # 0xbe
'Yan ', # 0xbf
'Di ', # 0xc0
'Xi ', # 0xc1
'Lu ', # 0xc2
'Bei ', # 0xc3
'Piao ', # 0xc4
'Jin ', # 0xc5
'Lian ', # 0xc6
'Lu ', # 0xc7
'Man ', # 0xc8
'Qian ', # 0xc9
'Xian ', # 0xca
'Tan ', # 0xcb
'Ying ', # 0xcc
'Dong ', # 0xcd
'Zhuan ', # 0xce
'Xiang ', # 0xcf
'Shan ', # 0xd0
'Qiao ', # 0xd1
'Jiong ', # 0xd2
'Tui ', # 0xd3
'Zun ', # 0xd4
'Pu ', # 0xd5
'Xi ', # 0xd6
'Lao ', # 0xd7
'Chang ', # 0xd8
'Guang ', # 0xd9
'Liao ', # 0xda
'Qi ', # 0xdb
'Deng ', # 0xdc
'Chan ', # 0xdd
'Wei ', # 0xde
'Ji ', # 0xdf
'Fan ', # 0xe0
'Hui ', # 0xe1
'Chuan ', # 0xe2
'Jian ', # 0xe3
'Dan ', # 0xe4
'Jiao ', # 0xe5
'Jiu ', # 0xe6
'Seng ', # 0xe7
'Fen ', # 0xe8
'Xian ', # 0xe9
'Jue ', # 0xea
'E ', # 0xeb
'Jiao ', # 0xec
'Jian ', # 0xed
'Tong ', # 0xee
'Lin ', # 0xef
'Bo ', # 0xf0
'Gu ', # 0xf1
'[?] ', # 0xf2
'Su ', # 0xf3
'Xian ', # 0xf4
'Jiang ', # 0xf5
'Min ', # 0xf6
'Ye ', # 0xf7
'Jin ', # 0xf8
'Jia ', # 0xf9
'Qiao ', # 0xfa
'Pi ', # 0xfb
'Feng ', # 0xfc
'Zhou ', # 0xfd
'Ai ', # 0xfe
'Sai ', # 0xff
)
x051 = (
'Yi ', # 0x00
'Jun ', # 0x01
'Nong ', # 0x02
'Chan ', # 0x03
'Yi ', # 0x04
'Dang ', # 0x05
'Jing ', # 0x06
'Xuan ', # 0x07
'Kuai ', # 0x08
'Jian ', # 0x09
'Chu ', # 0x0a
'Dan ', # 0x0b
'Jiao ', # 0x0c
'Sha ', # 0x0d
'Zai ', # 0x0e
'[?] ', # 0x0f
'Bin ', # 0x10
'An ', # 0x11
'Ru ', # 0x12
'Tai ', # 0x13
'Chou ', # 0x14
'Chai ', # 0x15
'Lan ', # 0x16
'Ni ', # 0x17
'Jin ', # 0x18
'Qian ', # 0x19
'Meng ', # 0x1a
'Wu ', # 0x1b
'Ning ', # 0x1c
'Qiong ', # 0x1d
'Ni ', # 0x1e
'Chang ', # 0x1f
'Lie ', # 0x20
'Lei ', # 0x21
'Lu ', # 0x22
'Kuang ', # 0x23
'Bao ', # 0x24
'Du ', # 0x25
'Biao ', # 0x26
'Zan ', # 0x27
'Zhi ', # 0x28
'Si ', # 0x29
'You ', # 0x2a
'Hao ', # 0x2b
'Chen ', # 0x2c
'Chen ', # 0x2d
'Li ', # 0x2e
'Teng ', # 0x2f
'Wei ', # 0x30
'Long ', # 0x31
'Chu ', # 0x32
'Chan ', # 0x33
'Rang ', # 0x34
'Shu ', # 0x35
'Hui ', # 0x36
'Li ', # 0x37
'Luo ', # 0x38
'Zan ', # 0x39
'Nuo ', # 0x3a
'Tang ', # 0x3b
'Yan ', # 0x3c
'Lei ', # 0x3d
'Nang ', # 0x3e
'Er ', # 0x3f
'Wu ', # 0x40
'Yun ', # 0x41
'Zan ', # 0x42
'Yuan ', # 0x43
'Xiong ', # 0x44
'Chong ', # 0x45
'Zhao ', # 0x46
'Xiong ', # 0x47
'Xian ', # 0x48
'Guang ', # 0x49
'Dui ', # 0x4a
'Ke ', # 0x4b
'Dui ', # 0x4c
'Mian ', # 0x4d
'Tu ', # 0x4e
'Chang ', # 0x4f
'Er ', # 0x50
'Dui ', # 0x51
'Er ', # 0x52
'Xin ', # 0x53
'Tu ', # 0x54
'Si ', # 0x55
'Yan ', # 0x56
'Yan ', # 0x57
'Shi ', # 0x58
'Shi ', # 0x59
'Dang ', # 0x5a
'Qian ', # 0x5b
'Dou ', # 0x5c
'Fen ', # 0x5d
'Mao ', # 0x5e
'Shen ', # 0x5f
'Dou ', # 0x60
'Bai ', # 0x61
'Jing ', # 0x62
'Li ', # 0x63
'Huang ', # 0x64
'Ru ', # 0x65
'Wang ', # 0x66
'Nei ', # 0x67
'Quan ', # 0x68
'Liang ', # 0x69
'Yu ', # 0x6a
'Ba ', # 0x6b
'Gong ', # 0x6c
'Liu ', # 0x6d
'Xi ', # 0x6e
'[?] ', # 0x6f
'Lan ', # 0x70
'Gong ', # 0x71
'Tian ', # 0x72
'Guan ', # 0x73
'Xing ', # 0x74
'Bing ', # 0x75
'Qi ', # 0x76
'Ju ', # 0x77
'Dian ', # 0x78
'Zi ', # 0x79
'Ppwun ', # 0x7a
'Yang ', # 0x7b
'Jian ', # 0x7c
'Shou ', # 0x7d
'Ji ', # 0x7e
'Yi ', # 0x7f
'Ji ', # 0x80
'Chan ', # 0x81
'Jiong ', # 0x82
'Mao ', # 0x83
'Ran ', # 0x84
'Nei ', # 0x85
'Yuan ', # 0x86
'Mao ', # 0x87
'Gang ', # 0x88
'Ran ', # 0x89
'Ce ', # 0x8a
'Jiong ', # 0x8b
'Ce ', # 0x8c
'Zai ', # 0x8d
'Gua ', # 0x8e
'Jiong ', # 0x8f
'Mao ', # 0x90
'Zhou ', # 0x91
'Mou ', # 0x92
'Gou ', # 0x93
'Xu ', # 0x94
'Mian ', # 0x95
'Mi ', # 0x96
'Rong ', # 0x97
'Yin ', # 0x98
'Xie ', # 0x99
'Kan ', # 0x9a
'Jun ', # 0x9b
'Nong ', # 0x9c
'Yi ', # 0x9d
'Mi ', # 0x9e
'Shi ', # 0x9f
'Guan ', # 0xa0
'Meng ', # 0xa1
'Zhong ', # 0xa2
'Ju ', # 0xa3
'Yuan ', # 0xa4
'Ming ', # 0xa5
'Kou ', # 0xa6
'Lam ', # 0xa7
'Fu ', # 0xa8
'Xie ', # 0xa9
'Mi ', # 0xaa
'Bing ', # 0xab
'Dong ', # 0xac
'Tai ', # 0xad
'Gang ', # 0xae
'Feng ', # 0xaf
'Bing ', # 0xb0
'Hu ', # 0xb1
'Chong ', # 0xb2
'Jue ', # 0xb3
'Hu ', # 0xb4
'Kuang ', # 0xb5
'Ye ', # 0xb6
'Leng ', # 0xb7
'Pan ', # 0xb8
'Fu ', # 0xb9
'Min ', # 0xba
'Dong ', # 0xbb
'Xian ', # 0xbc
'Lie ', # 0xbd
'Xia ', # 0xbe
'Jian ', # 0xbf
'Jing ', # 0xc0
'Shu ', # 0xc1
'Mei ', # 0xc2
'Tu ', # 0xc3
'Qi ', # 0xc4
'Gu ', # 0xc5
'Zhun ', # 0xc6
'Song ', # 0xc7
'Jing ', # 0xc8
'Liang ', # 0xc9
'Qing ', # 0xca
'Diao ', # 0xcb
'Ling ', # 0xcc
'Dong ', # 0xcd
'Gan ', # 0xce
'Jian ', # 0xcf
'Yin ', # 0xd0
'Cou ', # 0xd1
'Yi ', # 0xd2
'Li ', # 0xd3
'Cang ', # 0xd4
'Ming ', # 0xd5
'Zhuen ', # 0xd6
'Cui ', # 0xd7
'Si ', # 0xd8
'Duo ', # 0xd9
'Jin ', # 0xda
'Lin ', # 0xdb
'Lin ', # 0xdc
'Ning ', # 0xdd
'Xi ', # 0xde
'Du ', # 0xdf
'Ji ', # 0xe0
'Fan ', # 0xe1
'Fan ', # 0xe2
'Fan ', # 0xe3
'Feng ', # 0xe4
'Ju ', # 0xe5
'Chu ', # 0xe6
'Tako ', # 0xe7
'Feng ', # 0xe8
'Mok ', # 0xe9
'Ci ', # 0xea
'Fu ', # 0xeb
'Feng ', # 0xec
'Ping ', # 0xed
'Feng ', # 0xee
'Kai ', # 0xef
'Huang ', # 0xf0
'Kai ', # 0xf1
'Gan ', # 0xf2
'Deng ', # 0xf3
'Ping ', # 0xf4
'Qu ', # 0xf5
'Xiong ', # 0xf6
'Kuai ', # 0xf7
'Tu ', # 0xf8
'Ao ', # 0xf9
'Chu ', # 0xfa
'Ji ', # 0xfb
'Dang ', # 0xfc
'Han ', # 0xfd
'Han ', # 0xfe
'Zao ', # 0xff
)
x052 = (
'Dao ', # 0x00
'Diao ', # 0x01
'Dao ', # 0x02
'Ren ', # 0x03
'Ren ', # 0x04
'Chuang ', # 0x05
'Fen ', # 0x06
'Qie ', # 0x07
'Yi ', # 0x08
'Ji ', # 0x09
'Kan ', # 0x0a
'Qian ', # 0x0b
'Cun ', # 0x0c
'Chu ', # 0x0d
'Wen ', # 0x0e
'Ji ', # 0x0f
'Dan ', # 0x10
'Xing ', # 0x11
'Hua ', # 0x12
'Wan ', # 0x13
'Jue ', # 0x14
'Li ', # 0x15
'Yue ', # 0x16
'Lie ', # 0x17
'Liu ', # 0x18
'Ze ', # 0x19
'Gang ', # 0x1a
'Chuang ', # 0x1b
'Fu ', # 0x1c
'Chu ', # 0x1d
'Qu ', # 0x1e
'Ju ', # 0x1f
'Shan ', # 0x20
'Min ', # 0x21
'Ling ', # 0x22
'Zhong ', # 0x23
'Pan ', # 0x24
'Bie ', # 0x25
'Jie ', # 0x26
'Jie ', # 0x27
'Bao ', # 0x28
'Li ', # 0x29
'Shan ', # 0x2a
'Bie ', # 0x2b
'Chan ', # 0x2c
'Jing ', # 0x2d
'Gua ', # 0x2e
'Gen ', # 0x2f
'Dao ', # 0x30
'Chuang ', # 0x31
'Kui ', # 0x32
'Ku ', # 0x33
'Duo ', # 0x34
'Er ', # 0x35
'Zhi ', # 0x36
'Shua ', # 0x37
'Quan ', # 0x38
'Cha ', # 0x39
'Ci ', # 0x3a
'Ke ', # 0x3b
'Jie ', # 0x3c
'Gui ', # 0x3d
'Ci ', # 0x3e
'Gui ', # 0x3f
'Kai ', # 0x40
'Duo ', # 0x41
'Ji ', # 0x42
'Ti ', # 0x43
'Jing ', # 0x44
'Lou ', # 0x45
'Gen ', # 0x46
'Ze ', # 0x47
'Yuan ', # 0x48
'Cuo ', # 0x49
'Xue ', # 0x4a
'Ke ', # 0x4b
'La ', # 0x4c
'Qian ', # 0x4d
'Cha ', # 0x4e
'Chuang ', # 0x4f
'Gua ', # 0x50
'Jian ', # 0x51
'Cuo ', # 0x52
'Li ', # 0x53
'Ti ', # 0x54
'Fei ', # 0x55
'Pou ', # 0x56
'Chan ', # 0x57
'Qi ', # 0x58
'Chuang ', # 0x59
'Zi ', # 0x5a
'Gang ', # 0x5b
'Wan ', # 0x5c
'Bo ', # 0x5d
'Ji ', # 0x5e
'Duo ', # 0x5f
'Qing ', # 0x60
'Yan ', # 0x61
'Zhuo ', # 0x62
'Jian ', # 0x63
'Ji ', # 0x64
'Bo ', # 0x65
'Yan ', # 0x66
'Ju ', # 0x67
'Huo ', # 0x68
'Sheng ', # 0x69
'Jian ', # 0x6a
'Duo ', # 0x6b
'Duan ', # 0x6c
'Wu ', # 0x6d
'Gua ', # 0x6e
'Fu ', # 0x6f
'Sheng ', # 0x70
'Jian ', # 0x71
'Ge ', # 0x72
'Zha ', # 0x73
'Kai ', # 0x74
'Chuang ', # 0x75
'Juan ', # 0x76
'Chan ', # 0x77
'Tuan ', # 0x78
'Lu ', # 0x79
'Li ', # 0x7a
'Fou ', # 0x7b
'Shan ', # 0x7c
'Piao ', # 0x7d
'Kou ', # 0x7e
'Jiao ', # 0x7f
'Gua ', # 0x80
'Qiao ', # 0x81
'Jue ', # 0x82
'Hua ', # 0x83
'Zha ', # 0x84
'Zhuo ', # 0x85
'Lian ', # 0x86
'Ju ', # 0x87
'Pi ', # 0x88
'Liu ', # 0x89
'Gui ', # 0x8a
'Jiao ', # 0x8b
'Gui ', # 0x8c
'Jian ', # 0x8d
'Jian ', # 0x8e
'Tang ', # 0x8f
'Huo ', # 0x90
'Ji ', # 0x91
'Jian ', # 0x92
'Yi ', # 0x93
'Jian ', # 0x94
'Zhi ', # 0x95
'Chan ', # 0x96
'Cuan ', # 0x97
'Mo ', # 0x98
'Li ', # 0x99
'Zhu ', # 0x9a
'Li ', # 0x9b
'Ya ', # 0x9c
'Quan ', # 0x9d
'Ban ', # 0x9e
'Gong ', # 0x9f
'Jia ', # 0xa0
'Wu ', # 0xa1
'Mai ', # 0xa2
'Lie ', # 0xa3
'Jin ', # 0xa4
'Keng ', # 0xa5
'Xie ', # 0xa6
'Zhi ', # 0xa7
'Dong ', # 0xa8
'Zhu ', # 0xa9
'Nu ', # 0xaa
'Jie ', # 0xab
'Qu ', # 0xac
'Shao ', # 0xad
'Yi ', # 0xae
'Zhu ', # 0xaf
'Miao ', # 0xb0
'Li ', # 0xb1
'Jing ', # 0xb2
'Lao ', # 0xb3
'Lao ', # 0xb4
'Juan ', # 0xb5
'Kou ', # 0xb6
'Yang ', # 0xb7
'Wa ', # 0xb8
'Xiao ', # 0xb9
'Mou ', # 0xba
'Kuang ', # 0xbb
'Jie ', # 0xbc
'Lie ', # 0xbd
'He ', # 0xbe
'Shi ', # 0xbf
'Ke ', # 0xc0
'Jing ', # 0xc1
'Hao ', # 0xc2
'Bo ', # 0xc3
'Min ', # 0xc4
'Chi ', # 0xc5
'Lang ', # 0xc6
'Yong ', # 0xc7
'Yong ', # 0xc8
'Mian ', # 0xc9
'Ke ', # 0xca
'Xun ', # 0xcb
'Juan ', # 0xcc
'Qing ', # 0xcd
'Lu ', # 0xce
'Pou ', # 0xcf
'Meng ', # 0xd0
'Lai ', # 0xd1
'Le ', # 0xd2
'Kai ', # 0xd3
'Mian ', # 0xd4
'Dong ', # 0xd5
'Xu ', # 0xd6
'Xu ', # 0xd7
'Kan ', # 0xd8
'Wu ', # 0xd9
'Yi ', # 0xda
'Xun ', # 0xdb
'Weng ', # 0xdc
'Sheng ', # 0xdd
'Lao ', # 0xde
'Mu ', # 0xdf
'Lu ', # 0xe0
'Piao ', # 0xe1
'Shi ', # 0xe2
'Ji ', # 0xe3
'Qin ', # 0xe4
'Qiang ', # 0xe5
'Jiao ', # 0xe6
'Quan ', # 0xe7
'Yang ', # 0xe8
'Yi ', # 0xe9
'Jue ', # 0xea
'Fan ', # 0xeb
'Juan ', # 0xec
'Tong ', # 0xed
'Ju ', # 0xee
'Dan ', # 0xef
'Xie ', # 0xf0
'Mai ', # 0xf1
'Xun ', # 0xf2
'Xun ', # 0xf3
'Lu ', # 0xf4
'Li ', # 0xf5
'Che ', # 0xf6
'Rang ', # 0xf7
'Quan ', # 0xf8
'Bao ', # 0xf9
'Shao ', # 0xfa
'Yun ', # 0xfb
'Jiu ', # 0xfc
'Bao ', # 0xfd
'Gou ', # 0xfe
'Wu ', # 0xff
)
x053 = (
'Yun ', # 0x00
'Mwun ', # 0x01
'Nay ', # 0x02
'Gai ', # 0x03
'Gai ', # 0x04
'Bao ', # 0x05
'Cong ', # 0x06
'[?] ', # 0x07
'Xiong ', # 0x08
'Peng ', # 0x09
'Ju ', # 0x0a
'Tao ', # 0x0b
'Ge ', # 0x0c
'Pu ', # 0x0d
'An ', # 0x0e
'Pao ', # 0x0f
'Fu ', # 0x10
'Gong ', # 0x11
'Da ', # 0x12
'Jiu ', # 0x13
'Qiong ', # 0x14
'Bi ', # 0x15
'Hua ', # 0x16
'Bei ', # 0x17
'Nao ', # 0x18
'Chi ', # 0x19
'Fang ', # 0x1a
'Jiu ', # 0x1b
'Yi ', # 0x1c
'Za ', # 0x1d
'Jiang ', # 0x1e
'Kang ', # 0x1f
'Jiang ', # 0x20
'Kuang ', # 0x21
'Hu ', # 0x22
'Xia ', # 0x23
'Qu ', # 0x24
'Bian ', # 0x25
'Gui ', # 0x26
'Qie ', # 0x27
'Zang ', # 0x28
'Kuang ', # 0x29
'Fei ', # 0x2a
'Hu ', # 0x2b
'Tou ', # 0x2c
'Gui ', # 0x2d
'Gui ', # 0x2e
'Hui ', # 0x2f
'Dan ', # 0x30
'Gui ', # 0x31
'Lian ', # 0x32
'Lian ', # 0x33
'Suan ', # 0x34
'Du ', # 0x35
'Jiu ', # 0x36
'Qu ', # 0x37
'Xi ', # 0x38
'Pi ', # 0x39
'Qu ', # 0x3a
'Yi ', # 0x3b
'Qia ', # 0x3c
'Yan ', # 0x3d
'Bian ', # 0x3e
'Ni ', # 0x3f
'Qu ', # 0x40
'Shi ', # 0x41
'Xin ', # 0x42
'Qian ', # 0x43
'Nian ', # 0x44
'Sa ', # 0x45
'Zu ', # 0x46
'Sheng ', # 0x47
'Wu ', # 0x48
'Hui ', # 0x49
'Ban ', # 0x4a
'Shi ', # 0x4b
'Xi ', # 0x4c
'Wan ', # 0x4d
'Hua ', # 0x4e
'Xie ', # 0x4f
'Wan ', # 0x50
'Bei ', # 0x51
'Zu ', # 0x52
'Zhuo ', # 0x53
'Xie ', # 0x54
'Dan ', # 0x55
'Mai ', # 0x56
'Nan ', # 0x57
'Dan ', # 0x58
'Ji ', # 0x59
'Bo ', # 0x5a
'Shuai ', # 0x5b
'Bu ', # 0x5c
'Kuang ', # 0x5d
'Bian ', # 0x5e
'Bu ', # 0x5f
'Zhan ', # 0x60
'Qia ', # 0x61
'Lu ', # 0x62
'You ', # 0x63
'Lu ', # 0x64
'Xi ', # 0x65
'Gua ', # 0x66
'Wo ', # 0x67
'Xie ', # 0x68
'Jie ', # 0x69
'Jie ', # 0x6a
'Wei ', # 0x6b
'Ang ', # 0x6c
'Qiong ', # 0x6d
'Zhi ', # 0x6e
'Mao ', # 0x6f
'Yin ', # 0x70
'Wei ', # 0x71
'Shao ', # 0x72
'Ji ', # 0x73
'Que ', # 0x74
'Luan ', # 0x75
'Shi ', # 0x76
'Juan ', # 0x77
'Xie ', # 0x78
'Xu ', # 0x79
'Jin ', # 0x7a
'Que ', # 0x7b
'Wu ', # 0x7c
'Ji ', # 0x7d
'E ', # 0x7e
'Qing ', # 0x7f
'Xi ', # 0x80
'[?] ', # 0x81
'Han ', # 0x82
'Zhan ', # 0x83
'E ', # 0x84
'Ting ', # 0x85
'Li ', # 0x86
'Zhe ', # 0x87
'Han ', # 0x88
'Li ', # 0x89
'Ya ', # 0x8a
'Ya ', # 0x8b
'Yan ', # 0x8c
'She ', # 0x8d
'Zhi ', # 0x8e
'Zha ', # 0x8f
'Pang ', # 0x90
'[?] ', # 0x91
'He ', # 0x92
'Ya ', # 0x93
'Zhi ', # 0x94
'Ce ', # 0x95
'Pang ', # 0x96
'Ti ', # 0x97
'Li ', # 0x98
'She ', # 0x99
'Hou ', # 0x9a
'Ting ', # 0x9b
'Zui ', # 0x9c
'Cuo ', # 0x9d
'Fei ', # 0x9e
'Yuan ', # 0x9f
'Ce ', # 0xa0
'Yuan ', # 0xa1
'Xiang ', # 0xa2
'Yan ', # 0xa3
'Li ', # 0xa4
'Jue ', # 0xa5
'Sha ', # 0xa6
'Dian ', # 0xa7
'Chu ', # 0xa8
'Jiu ', # 0xa9
'Qin ', # 0xaa
'Ao ', # 0xab
'Gui ', # 0xac
'Yan ', # 0xad
'Si ', # 0xae
'Li ', # 0xaf
'Chang ', # 0xb0
'Lan ', # 0xb1
'Li ', # 0xb2
'Yan ', # 0xb3
'Yan ', # 0xb4
'Yuan ', # 0xb5
'Si ', # 0xb6
'Gong ', # 0xb7
'Lin ', # 0xb8
'Qiu ', # 0xb9
'Qu ', # 0xba
'Qu ', # 0xbb
'Uk ', # 0xbc
'Lei ', # 0xbd
'Du ', # 0xbe
'Xian ', # 0xbf
'Zhuan ', # 0xc0
'San ', # 0xc1
'Can ', # 0xc2
'Can ', # 0xc3
'Can ', # 0xc4
'Can ', # 0xc5
'Ai ', # 0xc6
'Dai ', # 0xc7
'You ', # 0xc8
'Cha ', # 0xc9
'Ji ', # 0xca
'You ', # 0xcb
'Shuang ', # 0xcc
'Fan ', # 0xcd
'Shou ', # 0xce
'Guai ', # 0xcf
'Ba ', # 0xd0
'Fa ', # 0xd1
'Ruo ', # 0xd2
'Shi ', # 0xd3
'Shu ', # 0xd4
'Zhuo ', # 0xd5
'Qu ', # 0xd6
'Shou ', # 0xd7
'Bian ', # 0xd8
'Xu ', # 0xd9
'Jia ', # 0xda
'Pan ', # 0xdb
'Sou ', # 0xdc
'Gao ', # 0xdd
'Wei ', # 0xde
'Sou ', # 0xdf
'Die ', # 0xe0
'Rui ', # 0xe1
'Cong ', # 0xe2
'Kou ', # 0xe3
'Gu ', # 0xe4
'Ju ', # 0xe5
'Ling ', # 0xe6
'Gua ', # 0xe7
'Tao ', # 0xe8
'Kou ', # 0xe9
'Zhi ', # 0xea
'Jiao ', # 0xeb
'Zhao ', # 0xec
'Ba ', # 0xed
'Ding ', # 0xee
'Ke ', # 0xef
'Tai ', # 0xf0
'Chi ', # 0xf1
'Shi ', # 0xf2
'You ', # 0xf3
'Qiu ', # 0xf4
'Po ', # 0xf5
'Xie ', # 0xf6
'Hao ', # 0xf7
'Si ', # 0xf8
'Tan ', # 0xf9
'Chi ', # 0xfa
'Le ', # 0xfb
'Diao ', # 0xfc
'Ji ', # 0xfd
'[?] ', # 0xfe
'Hong ', # 0xff
)
x054 = (
'Mie ', # 0x00
'Xu ', # 0x01
'Mang ', # 0x02
'Chi ', # 0x03
'Ge ', # 0x04
'Xuan ', # 0x05
'Yao ', # 0x06
'Zi ', # 0x07
'He ', # 0x08
'Ji ', # 0x09
'Diao ', # 0x0a
'Cun ', # 0x0b
'Tong ', # 0x0c
'Ming ', # 0x0d
'Hou ', # 0x0e
'Li ', # 0x0f
'Tu ', # 0x10
'Xiang ', # 0x11
'Zha ', # 0x12
'Xia ', # 0x13
'Ye ', # 0x14
'Lu ', # 0x15
'A ', # 0x16
'Ma ', # 0x17
'Ou ', # 0x18
'Xue ', # 0x19
'Yi ', # 0x1a
'Jun ', # 0x1b
'Chou ', # 0x1c
'Lin ', # 0x1d
'Tun ', # 0x1e
'Yin ', # 0x1f
'Fei ', # 0x20
'Bi ', # 0x21
'Qin ', # 0x22
'Qin ', # 0x23
'Jie ', # 0x24
'Bu ', # 0x25
'Fou ', # 0x26
'Ba ', # 0x27
'Dun ', # 0x28
'Fen ', # 0x29
'E ', # 0x2a
'Han ', # 0x2b
'Ting ', # 0x2c
'Hang ', # 0x2d
'Shun ', # 0x2e
'Qi ', # 0x2f
'Hong ', # 0x30
'Zhi ', # 0x31
'Shen ', # 0x32
'Wu ', # 0x33
'Wu ', # 0x34
'Chao ', # 0x35
'Ne ', # 0x36
'Xue ', # 0x37
'Xi ', # 0x38
'Chui ', # 0x39
'Dou ', # 0x3a
'Wen ', # 0x3b
'Hou ', # 0x3c
'Ou ', # 0x3d
'Wu ', # 0x3e
'Gao ', # 0x3f
'Ya ', # 0x40
'Jun ', # 0x41
'Lu ', # 0x42
'E ', # 0x43
'Ge ', # 0x44
'Mei ', # 0x45
'Ai ', # 0x46
'Qi ', # 0x47
'Cheng ', # 0x48
'Wu ', # 0x49
'Gao ', # 0x4a
'Fu ', # 0x4b
'Jiao ', # 0x4c
'Hong ', # 0x4d
'Chi ', # 0x4e
'Sheng ', # 0x4f
'Ne ', # 0x50
'Tun ', # 0x51
'Fu ', # 0x52
'Yi ', # 0x53
'Dai ', # 0x54
'Ou ', # 0x55
'Li ', # 0x56
'Bai ', # 0x57
'Yuan ', # 0x58
'Kuai ', # 0x59
'[?] ', # 0x5a
'Qiang ', # 0x5b
'Wu ', # 0x5c
'E ', # 0x5d
'Shi ', # 0x5e
'Quan ', # 0x5f
'Pen ', # 0x60
'Wen ', # 0x61
'Ni ', # 0x62
'M ', # 0x63
'Ling ', # 0x64
'Ran ', # 0x65
'You ', # 0x66
'Di ', # 0x67
'Zhou ', # 0x68
'Shi ', # 0x69
'Zhou ', # 0x6a
'Tie ', # 0x6b
'Xi ', # 0x6c
'Yi ', # 0x6d
'Qi ', # 0x6e
'Ping ', # 0x6f
'Zi ', # 0x70
'Gu ', # 0x71
'Zi ', # 0x72
'Wei ', # 0x73
'Xu ', # 0x74
'He ', # 0x75
'Nao ', # 0x76
'Xia ', # 0x77
'Pei ', # 0x78
'Yi ', # 0x79
'Xiao ', # 0x7a
'Shen ', # 0x7b
'Hu ', # 0x7c
'Ming ', # 0x7d
'Da ', # 0x7e
'Qu ', # 0x7f
'Ju ', # 0x80
'Gem ', # 0x81
'Za ', # 0x82
'Tuo ', # 0x83
'Duo ', # 0x84
'Pou ', # 0x85
'Pao ', # 0x86
'Bi ', # 0x87
'Fu ', # 0x88
'Yang ', # 0x89
'He ', # 0x8a
'Zha ', # 0x8b
'He ', # 0x8c
'Hai ', # 0x8d
'Jiu ', # 0x8e
'Yong ', # 0x8f
'Fu ', # 0x90
'Que ', # 0x91
'Zhou ', # 0x92
'Wa ', # 0x93
'Ka ', # 0x94
'Gu ', # 0x95
'Ka ', # 0x96
'Zuo ', # 0x97
'Bu ', # 0x98
'Long ', # 0x99
'Dong ', # 0x9a
'Ning ', # 0x9b
'Tha ', # 0x9c
'Si ', # 0x9d
'Xian ', # 0x9e
'Huo ', # 0x9f
'Qi ', # 0xa0
'Er ', # 0xa1
'E ', # 0xa2
'Guang ', # 0xa3
'Zha ', # 0xa4
'Xi ', # 0xa5
'Yi ', # 0xa6
'Lie ', # 0xa7
'Zi ', # 0xa8
'Mie ', # 0xa9
'Mi ', # 0xaa
'Zhi ', # 0xab
'Yao ', # 0xac
'Ji ', # 0xad
'Zhou ', # 0xae
'Ge ', # 0xaf
'Shuai ', # 0xb0
'Zan ', # 0xb1
'Xiao ', # 0xb2
'Ke ', # 0xb3
'Hui ', # 0xb4
'Kua ', # 0xb5
'Huai ', # 0xb6
'Tao ', # 0xb7
'Xian ', # 0xb8
'E ', # 0xb9
'Xuan ', # 0xba
'Xiu ', # 0xbb
'Wai ', # 0xbc
'Yan ', # 0xbd
'Lao ', # 0xbe
'Yi ', # 0xbf
'Ai ', # 0xc0
'Pin ', # 0xc1
'Shen ', # 0xc2
'Tong ', # 0xc3
'Hong ', # 0xc4
'Xiong ', # 0xc5
'Chi ', # 0xc6
'Wa ', # 0xc7
'Ha ', # 0xc8
'Zai ', # 0xc9
'Yu ', # 0xca
'Di ', # 0xcb
'Pai ', # 0xcc
'Xiang ', # 0xcd
'Ai ', # 0xce
'Hen ', # 0xcf
'Kuang ', # 0xd0
'Ya ', # 0xd1
'Da ', # 0xd2
'Xiao ', # 0xd3
'Bi ', # 0xd4
'Yue ', # 0xd5
'[?] ', # 0xd6
'Hua ', # 0xd7
'Sasou ', # 0xd8
'Kuai ', # 0xd9
'Duo ', # 0xda
'[?] ', # 0xdb
'Ji ', # 0xdc
'Nong ', # 0xdd
'Mou ', # 0xde
'Yo ', # 0xdf
'Hao ', # 0xe0
'Yuan ', # 0xe1
'Long ', # 0xe2
'Pou ', # 0xe3
'Mang ', # 0xe4
'Ge ', # 0xe5
'E ', # 0xe6
'Chi ', # 0xe7
'Shao ', # 0xe8
'Li ', # 0xe9
'Na ', # 0xea
'Zu ', # 0xeb
'He ', # 0xec
'Ku ', # 0xed
'Xiao ', # 0xee
'Xian ', # 0xef
'Lao ', # 0xf0
'Bo ', # 0xf1
'Zhe ', # 0xf2
'Zha ', # 0xf3
'Liang ', # 0xf4
'Ba ', # 0xf5
'Mie ', # 0xf6
'Le ', # 0xf7
'Sui ', # 0xf8
'Fou ', # 0xf9
'Bu ', # 0xfa
'Han ', # 0xfb
'Heng ', # 0xfc
'Geng ', # 0xfd
'Shuo ', # 0xfe
'Ge ', # 0xff
)
x055 = (
'You ', # 0x00
'Yan ', # 0x01
'Gu ', # 0x02
'Gu ', # 0x03
'Bai ', # 0x04
'Han ', # 0x05
'Suo ', # 0x06
'Chun ', # 0x07
'Yi ', # 0x08
'Ai ', # 0x09
'Jia ', # 0x0a
'Tu ', # 0x0b
'Xian ', # 0x0c
'Huan ', # 0x0d
'Li ', # 0x0e
'Xi ', # 0x0f
'Tang ', # 0x10
'Zuo ', # 0x11
'Qiu ', # 0x12
'Che ', # 0x13
'Wu ', # 0x14
'Zao ', # 0x15
'Ya ', # 0x16
'Dou ', # 0x17
'Qi ', # 0x18
'Di ', # 0x19
'Qin ', # 0x1a
'Ma ', # 0x1b
'Mal ', # 0x1c
'Hong ', # 0x1d
'Dou ', # 0x1e
'Kes ', # 0x1f
'Lao ', # 0x20
'Liang ', # 0x21
'Suo ', # 0x22
'Zao ', # 0x23
'Huan ', # 0x24
'Lang ', # 0x25
'Sha ', # 0x26
'Ji ', # 0x27
'Zuo ', # 0x28
'Wo ', # 0x29
'Feng ', # 0x2a
'Yin ', # 0x2b
'Hu ', # 0x2c
'Qi ', # 0x2d
'Shou ', # 0x2e
'Wei ', # 0x2f
'Shua ', # 0x30
'Chang ', # 0x31
'Er ', # 0x32
'Li ', # 0x33
'Qiang ', # 0x34
'An ', # 0x35
'Jie ', # 0x36
'Yo ', # 0x37
'Nian ', # 0x38
'Yu ', # 0x39
'Tian ', # 0x3a
'Lai ', # 0x3b
'Sha ', # 0x3c
'Xi ', # 0x3d
'Tuo ', # 0x3e
'Hu ', # 0x3f
'Ai ', # 0x40
'Zhou ', # 0x41
'Nou ', # 0x42
'Ken ', # 0x43
'Zhuo ', # 0x44
'Zhuo ', # 0x45
'Shang ', # 0x46
'Di ', # 0x47
'Heng ', # 0x48
'Lan ', # 0x49
'A ', # 0x4a
'Xiao ', # 0x4b
'Xiang ', # 0x4c
'Tun ', # 0x4d
'Wu ', # 0x4e
'Wen ', # 0x4f
'Cui ', # 0x50
'Sha ', # 0x51
'Hu ', # 0x52
'Qi ', # 0x53
'Qi ', # 0x54
'Tao ', # 0x55
'Dan ', # 0x56
'Dan ', # 0x57
'Ye ', # 0x58
'Zi ', # 0x59
'Bi ', # 0x5a
'Cui ', # 0x5b
'Chuo ', # 0x5c
'He ', # 0x5d
'Ya ', # 0x5e
'Qi ', # 0x5f
'Zhe ', # 0x60
'Pei ', # 0x61
'Liang ', # 0x62
'Xian ', # 0x63
'Pi ', # 0x64
'Sha ', # 0x65
'La ', # 0x66
'Ze ', # 0x67
'Qing ', # 0x68
'Gua ', # 0x69
'Pa ', # 0x6a
'Zhe ', # 0x6b
'Se ', # 0x6c
'Zhuan ', # 0x6d
'Nie ', # 0x6e
'Guo ', # 0x6f
'Luo ', # 0x70
'Yan ', # 0x71
'Di ', # 0x72
'Quan ', # 0x73
'Tan ', # 0x74
'Bo ', # 0x75
'Ding ', # 0x76
'Lang ', # 0x77
'Xiao ', # 0x78
'[?] ', # 0x79
'Tang ', # 0x7a
'Chi ', # 0x7b
'Ti ', # 0x7c
'An ', # 0x7d
'Jiu ', # 0x7e
'Dan ', # 0x7f
'Ke ', # 0x80
'Yong ', # 0x81
'Wei ', # 0x82
'Nan ', # 0x83
'Shan ', # 0x84
'Yu ', # 0x85
'Zhe ', # 0x86
'La ', # 0x87
'Jie ', # 0x88
'Hou ', # 0x89
'Han ', # 0x8a
'Die ', # 0x8b
'Zhou ', # 0x8c
'Chai ', # 0x8d
'Wai ', # 0x8e
'Re ', # 0x8f
'Yu ', # 0x90
'Yin ', # 0x91
'Zan ', # 0x92
'Yao ', # 0x93
'Wo ', # 0x94
'Mian ', # 0x95
'Hu ', # 0x96
'Yun ', # 0x97
'Chuan ', # 0x98
'Hui ', # 0x99
'Huan ', # 0x9a
'Huan ', # 0x9b
'Xi ', # 0x9c
'He ', # 0x9d
'Ji ', # 0x9e
'Kui ', # 0x9f
'Zhong ', # 0xa0
'Wei ', # 0xa1
'Sha ', # 0xa2
'Xu ', # 0xa3
'Huang ', # 0xa4
'Du ', # 0xa5
'Nie ', # 0xa6
'Xuan ', # 0xa7
'Liang ', # 0xa8
'Yu ', # 0xa9
'Sang ', # 0xaa
'Chi ', # 0xab
'Qiao ', # 0xac
'Yan ', # 0xad
'Dan ', # 0xae
'Pen ', # 0xaf
'Can ', # 0xb0
'Li ', # 0xb1
'Yo ', # 0xb2
'Zha ', # 0xb3
'Wei ', # 0xb4
'Miao ', # 0xb5
'Ying ', # 0xb6
'Pen ', # 0xb7
'Phos ', # 0xb8
'Kui ', # 0xb9
'Xi ', # 0xba
'Yu ', # 0xbb
'Jie ', # 0xbc
'Lou ', # 0xbd
'Ku ', # 0xbe
'Sao ', # 0xbf
'Huo ', # 0xc0
'Ti ', # 0xc1
'Yao ', # 0xc2
'He ', # 0xc3
'A ', # 0xc4
'Xiu ', # 0xc5
'Qiang ', # 0xc6
'Se ', # 0xc7
'Yong ', # 0xc8
'Su ', # 0xc9
'Hong ', # 0xca
'Xie ', # 0xcb
'Yi ', # 0xcc
'Suo ', # 0xcd
'Ma ', # 0xce
'Cha ', # 0xcf
'Hai ', # 0xd0
'Ke ', # 0xd1
'Ta ', # 0xd2
'Sang ', # 0xd3
'Tian ', # 0xd4
'Ru ', # 0xd5
'Sou ', # 0xd6
'Wa ', # 0xd7
'Ji ', # 0xd8
'Pang ', # 0xd9
'Wu ', # 0xda
'Xian ', # 0xdb
'Shi ', # 0xdc
'Ge ', # 0xdd
'Zi ', # 0xde
'Jie ', # 0xdf
'Luo ', # 0xe0
'Weng ', # 0xe1
'Wa ', # 0xe2
'Si ', # 0xe3
'Chi ', # 0xe4
'Hao ', # 0xe5
'Suo ', # 0xe6
'Jia ', # 0xe7
'Hai ', # 0xe8
'Suo ', # 0xe9
'Qin ', # 0xea
'Nie ', # 0xeb
'He ', # 0xec
'Cis ', # 0xed
'Sai ', # 0xee
'Ng ', # 0xef
'Ge ', # 0xf0
'Na ', # 0xf1
'Dia ', # 0xf2
'Ai ', # 0xf3
'[?] ', # 0xf4
'Tong ', # 0xf5
'Bi ', # 0xf6
'Ao ', # 0xf7
'Ao ', # 0xf8
'Lian ', # 0xf9
'Cui ', # 0xfa
'Zhe ', # 0xfb
'Mo ', # 0xfc
'Sou ', # 0xfd
'Sou ', # 0xfe
'Tan ', # 0xff
)
x056 = (
'Di ', # 0x00
'Qi ', # 0x01
'Jiao ', # 0x02
'Chong ', # 0x03
'Jiao ', # 0x04
'Kai ', # 0x05
'Tan ', # 0x06
'San ', # 0x07
'Cao ', # 0x08
'Jia ', # 0x09
'Ai ', # 0x0a
'Xiao ', # 0x0b
'Piao ', # 0x0c
'Lou ', # 0x0d
'Ga ', # 0x0e
'Gu ', # 0x0f
'Xiao ', # 0x10
'Hu ', # 0x11
'Hui ', # 0x12
'Guo ', # 0x13
'Ou ', # 0x14
'Xian ', # 0x15
'Ze ', # 0x16
'Chang ', # 0x17
'Xu ', # 0x18
'Po ', # 0x19
'De ', # 0x1a
'Ma ', # 0x1b
'Ma ', # 0x1c
'Hu ', # 0x1d
'Lei ', # 0x1e
'Du ', # 0x1f
'Ga ', # 0x20
'Tang ', # 0x21
'Ye ', # 0x22
'Beng ', # 0x23
'Ying ', # 0x24
'Saai ', # 0x25
'Jiao ', # 0x26
'Mi ', # 0x27
'Xiao ', # 0x28
'Hua ', # 0x29
'Mai ', # 0x2a
'Ran ', # 0x2b
'Zuo ', # 0x2c
'Peng ', # 0x2d
'Lao ', # 0x2e
'Xiao ', # 0x2f
'Ji ', # 0x30
'Zhu ', # 0x31
'Chao ', # 0x32
'Kui ', # 0x33
'Zui ', # 0x34
'Xiao ', # 0x35
'Si ', # 0x36
'Hao ', # 0x37
'Fu ', # 0x38
'Liao ', # 0x39
'Qiao ', # 0x3a
'Xi ', # 0x3b
'Xiu ', # 0x3c
'Tan ', # 0x3d
'Tan ', # 0x3e
'Mo ', # 0x3f
'Xun ', # 0x40
'E ', # 0x41
'Zun ', # 0x42
'Fan ', # 0x43
'Chi ', # 0x44
'Hui ', # 0x45
'Zan ', # 0x46
'Chuang ', # 0x47
'Cu ', # 0x48
'Dan ', # 0x49
'Yu ', # 0x4a
'Tun ', # 0x4b
'Cheng ', # 0x4c
'Jiao ', # 0x4d
'Ye ', # 0x4e
'Xi ', # 0x4f
'Qi ', # 0x50
'Hao ', # 0x51
'Lian ', # 0x52
'Xu ', # 0x53
'Deng ', # 0x54
'Hui ', # 0x55
'Yin ', # 0x56
'Pu ', # 0x57
'Jue ', # 0x58
'Qin ', # 0x59
'Xun ', # 0x5a
'Nie ', # 0x5b
'Lu ', # 0x5c
'Si ', # 0x5d
'Yan ', # 0x5e
'Ying ', # 0x5f
'Da ', # 0x60
'Dan ', # 0x61
'Yu ', # 0x62
'Zhou ', # 0x63
'Jin ', # 0x64
'Nong ', # 0x65
'Yue ', # 0x66
'Hui ', # 0x67
'Qi ', # 0x68
'E ', # 0x69
'Zao ', # 0x6a
'Yi ', # 0x6b
'Shi ', # 0x6c
'Jiao ', # 0x6d
'Yuan ', # 0x6e
'Ai ', # 0x6f
'Yong ', # 0x70
'Jue ', # 0x71
'Kuai ', # 0x72
'Yu ', # 0x73
'Pen ', # 0x74
'Dao ', # 0x75
'Ge ', # 0x76
'Xin ', # 0x77
'Dun ', # 0x78
'Dang ', # 0x79
'Sin ', # 0x7a
'Sai ', # 0x7b
'Pi ', # 0x7c
'Pi ', # 0x7d
'Yin ', # 0x7e
'Zui ', # 0x7f
'Ning ', # 0x80
'Di ', # 0x81
'Lan ', # 0x82
'Ta ', # 0x83
'Huo ', # 0x84
'Ru ', # 0x85
'Hao ', # 0x86
'Xia ', # 0x87
'Ya ', # 0x88
'Duo ', # 0x89
'Xi ', # 0x8a
'Chou ', # 0x8b
'Ji ', # 0x8c
'Jin ', # 0x8d
'Hao ', # 0x8e
'Ti ', # 0x8f
'Chang ', # 0x90
'[?] ', # 0x91
'[?] ', # 0x92
'Ca ', # 0x93
'Ti ', # 0x94
'Lu ', # 0x95
'Hui ', # 0x96
'Bo ', # 0x97
'You ', # 0x98
'Nie ', # 0x99
'Yin ', # 0x9a
'Hu ', # 0x9b
'Mo ', # 0x9c
'Huang ', # 0x9d
'Zhe ', # 0x9e
'Li ', # 0x9f
'Liu ', # 0xa0
'Haai ', # 0xa1
'Nang ', # 0xa2
'Xiao ', # 0xa3
'Mo ', # 0xa4
'Yan ', # 0xa5
'Li ', # 0xa6
'Lu ', # 0xa7
'Long ', # 0xa8
'Fu ', # 0xa9
'Dan ', # 0xaa
'Chen ', # 0xab
'Pin ', # 0xac
'Pi ', # 0xad
'Xiang ', # 0xae
'Huo ', # 0xaf
'Mo ', # 0xb0
'Xi ', # 0xb1
'Duo ', # 0xb2
'Ku ', # 0xb3
'Yan ', # 0xb4
'Chan ', # 0xb5
'Ying ', # 0xb6
'Rang ', # 0xb7
'Dian ', # 0xb8
'La ', # 0xb9
'Ta ', # 0xba
'Xiao ', # 0xbb
'Jiao ', # 0xbc
'Chuo ', # 0xbd
'Huan ', # 0xbe
'Huo ', # 0xbf
'Zhuan ', # 0xc0
'Nie ', # 0xc1
'Xiao ', # 0xc2
'Ca ', # 0xc3
'Li ', # 0xc4
'Chan ', # 0xc5
'Chai ', # 0xc6
'Li ', # 0xc7
'Yi ', # 0xc8
'Luo ', # 0xc9
'Nang ', # 0xca
'Zan ', # 0xcb
'Su ', # 0xcc
'Xi ', # 0xcd
'So ', # 0xce
'Jian ', # 0xcf
'Za ', # 0xd0
'Zhu ', # 0xd1
'Lan ', # 0xd2
'Nie ', # 0xd3
'Nang ', # 0xd4
'[?] ', # 0xd5
'[?] ', # 0xd6
'Wei ', # 0xd7
'Hui ', # 0xd8
'Yin ', # 0xd9
'Qiu ', # 0xda
'Si ', # 0xdb
'Nin ', # 0xdc
'Jian ', # 0xdd
'Hui ', # 0xde
'Xin ', # 0xdf
'Yin ', # 0xe0
'Nan ', # 0xe1
'Tuan ', # 0xe2
'Tuan ', # 0xe3
'Dun ', # 0xe4
'Kang ', # 0xe5
'Yuan ', # 0xe6
'Jiong ', # 0xe7
'Pian ', # 0xe8
'Yun ', # 0xe9
'Cong ', # 0xea
'Hu ', # 0xeb
'Hui ', # 0xec
'Yuan ', # 0xed
'You ', # 0xee
'Guo ', # 0xef
'Kun ', # 0xf0
'Cong ', # 0xf1
'Wei ', # 0xf2
'Tu ', # 0xf3
'Wei ', # 0xf4
'Lun ', # 0xf5
'Guo ', # 0xf6
'Qun ', # 0xf7
'Ri ', # 0xf8
'Ling ', # 0xf9
'Gu ', # 0xfa
'Guo ', # 0xfb
'Tai ', # 0xfc
'Guo ', # 0xfd
'Tu ', # 0xfe
'You ', # 0xff
)
x057 = (
'Guo ', # 0x00
'Yin ', # 0x01
'Hun ', # 0x02
'Pu ', # 0x03
'Yu ', # 0x04
'Han ', # 0x05
'Yuan ', # 0x06
'Lun ', # 0x07
'Quan ', # 0x08
'Yu ', # 0x09
'Qing ', # 0x0a
'Guo ', # 0x0b
'Chuan ', # 0x0c
'Wei ', # 0x0d
'Yuan ', # 0x0e
'Quan ', # 0x0f
'Ku ', # 0x10
'Fu ', # 0x11
'Yuan ', # 0x12
'Yuan ', # 0x13
'E ', # 0x14
'Tu ', # 0x15
'Tu ', # 0x16
'Tu ', # 0x17
'Tuan ', # 0x18
'Lue ', # 0x19
'Hui ', # 0x1a
'Yi ', # 0x1b
'Yuan ', # 0x1c
'Luan ', # 0x1d
'Luan ', # 0x1e
'Tu ', # 0x1f
'Ya ', # 0x20
'Tu ', # 0x21
'Ting ', # 0x22
'Sheng ', # 0x23
'Pu ', # 0x24
'Lu ', # 0x25
'Iri ', # 0x26
'Ya ', # 0x27
'Zai ', # 0x28
'Wei ', # 0x29
'Ge ', # 0x2a
'Yu ', # 0x2b
'Wu ', # 0x2c
'Gui ', # 0x2d
'Pi ', # 0x2e
'Yi ', # 0x2f
'Di ', # 0x30
'Qian ', # 0x31
'Qian ', # 0x32
'Zhen ', # 0x33
'Zhuo ', # 0x34
'Dang ', # 0x35
'Qia ', # 0x36
'Akutsu ', # 0x37
'Yama ', # 0x38
'Kuang ', # 0x39
'Chang ', # 0x3a
'Qi ', # 0x3b
'Nie ', # 0x3c
'Mo ', # 0x3d
'Ji ', # 0x3e
'Jia ', # 0x3f
'Zhi ', # 0x40
'Zhi ', # 0x41
'Ban ', # 0x42
'Xun ', # 0x43
'Tou ', # 0x44
'Qin ', # 0x45
'Fen ', # 0x46
'Jun ', # 0x47
'Keng ', # 0x48
'Tun ', # 0x49
'Fang ', # 0x4a
'Fen ', # 0x4b
'Ben ', # 0x4c
'Tan ', # 0x4d
'Kan ', # 0x4e
'Pi ', # 0x4f
'Zuo ', # 0x50
'Keng ', # 0x51
'Bi ', # 0x52
'Xing ', # 0x53
'Di ', # 0x54
'Jing ', # 0x55
'Ji ', # 0x56
'Kuai ', # 0x57
'Di ', # 0x58
'Jing ', # 0x59
'Jian ', # 0x5a
'Tan ', # 0x5b
'Li ', # 0x5c
'Ba ', # 0x5d
'Wu ', # 0x5e
'Fen ', # 0x5f
'Zhui ', # 0x60
'Po ', # 0x61
'Pan ', # 0x62
'Tang ', # 0x63
'Kun ', # 0x64
'Qu ', # 0x65
'Tan ', # 0x66
'Zhi ', # 0x67
'Tuo ', # 0x68
'Gan ', # 0x69
'Ping ', # 0x6a
'Dian ', # 0x6b
'Gua ', # 0x6c
'Ni ', # 0x6d
'Tai ', # 0x6e
'Pi ', # 0x6f
'Jiong ', # 0x70
'Yang ', # 0x71
'Fo ', # 0x72
'Ao ', # 0x73
'Liu ', # 0x74
'Qiu ', # 0x75
'Mu ', # 0x76
'Ke ', # 0x77
'Gou ', # 0x78
'Xue ', # 0x79
'Ba ', # 0x7a
'Chi ', # 0x7b
'Che ', # 0x7c
'Ling ', # 0x7d
'Zhu ', # 0x7e
'Fu ', # 0x7f
'Hu ', # 0x80
'Zhi ', # 0x81
'Chui ', # 0x82
'La ', # 0x83
'Long ', # 0x84
'Long ', # 0x85
'Lu ', # 0x86
'Ao ', # 0x87
'Tay ', # 0x88
'Pao ', # 0x89
'[?] ', # 0x8a
'Xing ', # 0x8b
'Dong ', # 0x8c
'Ji ', # 0x8d
'Ke ', # 0x8e
'Lu ', # 0x8f
'Ci ', # 0x90
'Chi ', # 0x91
'Lei ', # 0x92
'Gai ', # 0x93
'Yin ', # 0x94
'Hou ', # 0x95
'Dui ', # 0x96
'Zhao ', # 0x97
'Fu ', # 0x98
'Guang ', # 0x99
'Yao ', # 0x9a
'Duo ', # 0x9b
'Duo ', # 0x9c
'Gui ', # 0x9d
'Cha ', # 0x9e
'Yang ', # 0x9f
'Yin ', # 0xa0
'Fa ', # 0xa1
'Gou ', # 0xa2
'Yuan ', # 0xa3
'Die ', # 0xa4
'Xie ', # 0xa5
'Ken ', # 0xa6
'Jiong ', # 0xa7
'Shou ', # 0xa8
'E ', # 0xa9
'Ha ', # 0xaa
'Dian ', # 0xab
'Hong ', # 0xac
'Wu ', # 0xad
'Kua ', # 0xae
'[?] ', # 0xaf
'Tao ', # 0xb0
'Dang ', # 0xb1
'Kai ', # 0xb2
'Gake ', # 0xb3
'Nao ', # 0xb4
'An ', # 0xb5
'Xing ', # 0xb6
'Xian ', # 0xb7
'Huan ', # 0xb8
'Bang ', # 0xb9
'Pei ', # 0xba
'Ba ', # 0xbb
'Yi ', # 0xbc
'Yin ', # 0xbd
'Han ', # 0xbe
'Xu ', # 0xbf
'Chui ', # 0xc0
'Cen ', # 0xc1
'Geng ', # 0xc2
'Ai ', # 0xc3
'Peng ', # 0xc4
'Fang ', # 0xc5
'Que ', # 0xc6
'Yong ', # 0xc7
'Xun ', # 0xc8
'Jia ', # 0xc9
'Di ', # 0xca
'Mai ', # 0xcb
'Lang ', # 0xcc
'Xuan ', # 0xcd
'Cheng ', # 0xce
'Yan ', # 0xcf
'Jin ', # 0xd0
'Zhe ', # 0xd1
'Lei ', # 0xd2
'Lie ', # 0xd3
'Bu ', # 0xd4
'Cheng ', # 0xd5
'Gomi ', # 0xd6
'Bu ', # 0xd7
'Shi ', # 0xd8
'Xun ', # 0xd9
'Guo ', # 0xda
'Jiong ', # 0xdb
'Ye ', # 0xdc
'Nian ', # 0xdd
'Di ', # 0xde
'Yu ', # 0xdf
'Bu ', # 0xe0
'Ya ', # 0xe1
'Juan ', # 0xe2
'Sui ', # 0xe3
'Pi ', # 0xe4
'Cheng ', # 0xe5
'Wan ', # 0xe6
'Ju ', # 0xe7
'Lun ', # 0xe8
'Zheng ', # 0xe9
'Kong ', # 0xea
'Chong ', # 0xeb
'Dong ', # 0xec
'Dai ', # 0xed
'Tan ', # 0xee
'An ', # 0xef
'Cai ', # 0xf0
'Shu ', # 0xf1
'Beng ', # 0xf2
'Kan ', # 0xf3
'Zhi ', # 0xf4
'Duo ', # 0xf5
'Yi ', # 0xf6
'Zhi ', # 0xf7
'Yi ', # 0xf8
'Pei ', # 0xf9
'Ji ', # 0xfa
'Zhun ', # 0xfb
'Qi ', # 0xfc
'Sao ', # 0xfd
'Ju ', # 0xfe
'Ni ', # 0xff
)
x058 = (
'Ku ', # 0x00
'Ke ', # 0x01
'Tang ', # 0x02
'Kun ', # 0x03
'Ni ', # 0x04
'Jian ', # 0x05
'Dui ', # 0x06
'Jin ', # 0x07
'Gang ', # 0x08
'Yu ', # 0x09
'E ', # 0x0a
'Peng ', # 0x0b
'Gu ', # 0x0c
'Tu ', # 0x0d
'Leng ', # 0x0e
'[?] ', # 0x0f
'Ya ', # 0x10
'Qian ', # 0x11
'[?] ', # 0x12
'An ', # 0x13
'[?] ', # 0x14
'Duo ', # 0x15
'Nao ', # 0x16
'Tu ', # 0x17
'Cheng ', # 0x18
'Yin ', # 0x19
'Hun ', # 0x1a
'Bi ', # 0x1b
'Lian ', # 0x1c
'Guo ', # 0x1d
'Die ', # 0x1e
'Zhuan ', # 0x1f
'Hou ', # 0x20
'Bao ', # 0x21
'Bao ', # 0x22
'Yu ', # 0x23
'Di ', # 0x24
'Mao ', # 0x25
'Jie ', # 0x26
'Ruan ', # 0x27
'E ', # 0x28
'Geng ', # 0x29
'Kan ', # 0x2a
'Zong ', # 0x2b
'Yu ', # 0x2c
'Huang ', # 0x2d
'E ', # 0x2e
'Yao ', # 0x2f
'Yan ', # 0x30
'Bao ', # 0x31
'Ji ', # 0x32
'Mei ', # 0x33
'Chang ', # 0x34
'Du ', # 0x35
'Tuo ', # 0x36
'Yin ', # 0x37
'Feng ', # 0x38
'Zhong ', # 0x39
'Jie ', # 0x3a
'Zhen ', # 0x3b
'Feng ', # 0x3c
'Gang ', # 0x3d
'Chuan ', # 0x3e
'Jian ', # 0x3f
'Pyeng ', # 0x40
'Toride ', # 0x41
'Xiang ', # 0x42
'Huang ', # 0x43
'Leng ', # 0x44
'Duan ', # 0x45
'[?] ', # 0x46
'Xuan ', # 0x47
'Ji ', # 0x48
'Ji ', # 0x49
'Kuai ', # 0x4a
'Ying ', # 0x4b
'Ta ', # 0x4c
'Cheng ', # 0x4d
'Yong ', # 0x4e
'Kai ', # 0x4f
'Su ', # 0x50
'Su ', # 0x51
'Shi ', # 0x52
'Mi ', # 0x53
'Ta ', # 0x54
'Weng ', # 0x55
'Cheng ', # 0x56
'Tu ', # 0x57
'Tang ', # 0x58
'Que ', # 0x59
'Zhong ', # 0x5a
'Li ', # 0x5b
'Peng ', # 0x5c
'Bang ', # 0x5d
'Sai ', # 0x5e
'Zang ', # 0x5f
'Dui ', # 0x60
'Tian ', # 0x61
'Wu ', # 0x62
'Cheng ', # 0x63
'Xun ', # 0x64
'Ge ', # 0x65
'Zhen ', # 0x66
'Ai ', # 0x67
'Gong ', # 0x68
'Yan ', # 0x69
'Kan ', # 0x6a
'Tian ', # 0x6b
'Yuan ', # 0x6c
'Wen ', # 0x6d
'Xie ', # 0x6e
'Liu ', # 0x6f
'Ama ', # 0x70
'Lang ', # 0x71
'Chang ', # 0x72
'Peng ', # 0x73
'Beng ', # 0x74
'Chen ', # 0x75
'Cu ', # 0x76
'Lu ', # 0x77
'Ou ', # 0x78
'Qian ', # 0x79
'Mei ', # 0x7a
'Mo ', # 0x7b
'Zhuan ', # 0x7c
'Shuang ', # 0x7d
'Shu ', # 0x7e
'Lou ', # 0x7f
'Chi ', # 0x80
'Man ', # 0x81
'Biao ', # 0x82
'Jing ', # 0x83
'Qi ', # 0x84
'Shu ', # 0x85
'Di ', # 0x86
'Zhang ', # 0x87
'Kan ', # 0x88
'Yong ', # 0x89
'Dian ', # 0x8a
'Chen ', # 0x8b
'Zhi ', # 0x8c
'Xi ', # 0x8d
'Guo ', # 0x8e
'Qiang ', # 0x8f
'Jin ', # 0x90
'Di ', # 0x91
'Shang ', # 0x92
'Mu ', # 0x93
'Cui ', # 0x94
'Yan ', # 0x95
'Ta ', # 0x96
'Zeng ', # 0x97
'Qi ', # 0x98
'Qiang ', # 0x99
'Liang ', # 0x9a
'[?] ', # 0x9b
'Zhui ', # 0x9c
'Qiao ', # 0x9d
'Zeng ', # 0x9e
'Xu ', # 0x9f
'Shan ', # 0xa0
'Shan ', # 0xa1
'Ba ', # 0xa2
'Pu ', # 0xa3
'Kuai ', # 0xa4
'Dong ', # 0xa5
'Fan ', # 0xa6
'Que ', # 0xa7
'Mo ', # 0xa8
'Dun ', # 0xa9
'Dun ', # 0xaa
'Dun ', # 0xab
'Di ', # 0xac
'Sheng ', # 0xad
'Duo ', # 0xae
'Duo ', # 0xaf
'Tan ', # 0xb0
'Deng ', # 0xb1
'Wu ', # 0xb2
'Fen ', # 0xb3
'Huang ', # 0xb4
'Tan ', # 0xb5
'Da ', # 0xb6
'Ye ', # 0xb7
'Sho ', # 0xb8
'Mama ', # 0xb9
'Yu ', # 0xba
'Qiang ', # 0xbb
'Ji ', # 0xbc
'Qiao ', # 0xbd
'Ken ', # 0xbe
'Yi ', # 0xbf
'Pi ', # 0xc0
'Bi ', # 0xc1
'Dian ', # 0xc2
'Jiang ', # 0xc3
'Ye ', # 0xc4
'Yong ', # 0xc5
'Bo ', # 0xc6
'Tan ', # 0xc7
'Lan ', # 0xc8
'Ju ', # 0xc9
'Huai ', # 0xca
'Dang ', # 0xcb
'Rang ', # 0xcc
'Qian ', # 0xcd
'Xun ', # 0xce
'Lan ', # 0xcf
'Xi ', # 0xd0
'He ', # 0xd1
'Ai ', # 0xd2
'Ya ', # 0xd3
'Dao ', # 0xd4
'Hao ', # 0xd5
'Ruan ', # 0xd6
'Mama ', # 0xd7
'Lei ', # 0xd8
'Kuang ', # 0xd9
'Lu ', # 0xda
'Yan ', # 0xdb
'Tan ', # 0xdc
'Wei ', # 0xdd
'Huai ', # 0xde
'Long ', # 0xdf
'Long ', # 0xe0
'Rui ', # 0xe1
'Li ', # 0xe2
'Lin ', # 0xe3
'Rang ', # 0xe4
'Ten ', # 0xe5
'Xun ', # 0xe6
'Yan ', # 0xe7
'Lei ', # 0xe8
'Ba ', # 0xe9
'[?] ', # 0xea
'Shi ', # 0xeb
'Ren ', # 0xec
'[?] ', # 0xed
'Zhuang ', # 0xee
'Zhuang ', # 0xef
'Sheng ', # 0xf0
'Yi ', # 0xf1
'Mai ', # 0xf2
'Ke ', # 0xf3
'Zhu ', # 0xf4
'Zhuang ', # 0xf5
'Hu ', # 0xf6
'Hu ', # 0xf7
'Kun ', # 0xf8
'Yi ', # 0xf9
'Hu ', # 0xfa
'Xu ', # 0xfb
'Kun ', # 0xfc
'Shou ', # 0xfd
'Mang ', # 0xfe
'Zun ', # 0xff
)
x059 = (
'Shou ', # 0x00
'Yi ', # 0x01
'Zhi ', # 0x02
'Gu ', # 0x03
'Chu ', # 0x04
'Jiang ', # 0x05
'Feng ', # 0x06
'Bei ', # 0x07
'Cay ', # 0x08
'Bian ', # 0x09
'Sui ', # 0x0a
'Qun ', # 0x0b
'Ling ', # 0x0c
'Fu ', # 0x0d
'Zuo ', # 0x0e
'Xia ', # 0x0f
'Xiong ', # 0x10
'[?] ', # 0x11
'Nao ', # 0x12
'Xia ', # 0x13
'Kui ', # 0x14
'Xi ', # 0x15
'Wai ', # 0x16
'Yuan ', # 0x17
'Mao ', # 0x18
'Su ', # 0x19
'Duo ', # 0x1a
'Duo ', # 0x1b
'Ye ', # 0x1c
'Qing ', # 0x1d
'Uys ', # 0x1e
'Gou ', # 0x1f
'Gou ', # 0x20
'Qi ', # 0x21
'Meng ', # 0x22
'Meng ', # 0x23
'Yin ', # 0x24
'Huo ', # 0x25
'Chen ', # 0x26
'Da ', # 0x27
'Ze ', # 0x28
'Tian ', # 0x29
'Tai ', # 0x2a
'Fu ', # 0x2b
'Guai ', # 0x2c
'Yao ', # 0x2d
'Yang ', # 0x2e
'Hang ', # 0x2f
'Gao ', # 0x30
'Shi ', # 0x31
'Ben ', # 0x32
'Tai ', # 0x33
'Tou ', # 0x34
'Yan ', # 0x35
'Bi ', # 0x36
'Yi ', # 0x37
'Kua ', # 0x38
'Jia ', # 0x39
'Duo ', # 0x3a
'Kwu ', # 0x3b
'Kuang ', # 0x3c
'Yun ', # 0x3d
'Jia ', # 0x3e
'Pa ', # 0x3f
'En ', # 0x40
'Lian ', # 0x41
'Huan ', # 0x42
'Di ', # 0x43
'Yan ', # 0x44
'Pao ', # 0x45
'Quan ', # 0x46
'Qi ', # 0x47
'Nai ', # 0x48
'Feng ', # 0x49
'Xie ', # 0x4a
'Fen ', # 0x4b
'Dian ', # 0x4c
'[?] ', # 0x4d
'Kui ', # 0x4e
'Zou ', # 0x4f
'Huan ', # 0x50
'Qi ', # 0x51
'Kai ', # 0x52
'Zha ', # 0x53
'Ben ', # 0x54
'Yi ', # 0x55
'Jiang ', # 0x56
'Tao ', # 0x57
'Zang ', # 0x58
'Ben ', # 0x59
'Xi ', # 0x5a
'Xiang ', # 0x5b
'Fei ', # 0x5c
'Diao ', # 0x5d
'Xun ', # 0x5e
'Keng ', # 0x5f
'Dian ', # 0x60
'Ao ', # 0x61
'She ', # 0x62
'Weng ', # 0x63
'Pan ', # 0x64
'Ao ', # 0x65
'Wu ', # 0x66
'Ao ', # 0x67
'Jiang ', # 0x68
'Lian ', # 0x69
'Duo ', # 0x6a
'Yun ', # 0x6b
'Jiang ', # 0x6c
'Shi ', # 0x6d
'Fen ', # 0x6e
'Huo ', # 0x6f
'Bi ', # 0x70
'Lian ', # 0x71
'Duo ', # 0x72
'Nu ', # 0x73
'Nu ', # 0x74
'Ding ', # 0x75
'Nai ', # 0x76
'Qian ', # 0x77
'Jian ', # 0x78
'Ta ', # 0x79
'Jiu ', # 0x7a
'Nan ', # 0x7b
'Cha ', # 0x7c
'Hao ', # 0x7d
'Xian ', # 0x7e
'Fan ', # 0x7f
'Ji ', # 0x80
'Shuo ', # 0x81
'Ru ', # 0x82
'Fei ', # 0x83
'Wang ', # 0x84
'Hong ', # 0x85
'Zhuang ', # 0x86
'Fu ', # 0x87
'Ma ', # 0x88
'Dan ', # 0x89
'Ren ', # 0x8a
'Fu ', # 0x8b
'Jing ', # 0x8c
'Yan ', # 0x8d
'Xie ', # 0x8e
'Wen ', # 0x8f
'Zhong ', # 0x90
'Pa ', # 0x91
'Du ', # 0x92
'Ji ', # 0x93
'Keng ', # 0x94
'Zhong ', # 0x95
'Yao ', # 0x96
'Jin ', # 0x97
'Yun ', # 0x98
'Miao ', # 0x99
'Pei ', # 0x9a
'Shi ', # 0x9b
'Yue ', # 0x9c
'Zhuang ', # 0x9d
'Niu ', # 0x9e
'Yan ', # 0x9f
'Na ', # 0xa0
'Xin ', # 0xa1
'Fen ', # 0xa2
'Bi ', # 0xa3
'Yu ', # 0xa4
'Tuo ', # 0xa5
'Feng ', # 0xa6
'Yuan ', # 0xa7
'Fang ', # 0xa8
'Wu ', # 0xa9
'Yu ', # 0xaa
'Gui ', # 0xab
'Du ', # 0xac
'Ba ', # 0xad
'Ni ', # 0xae
'Zhou ', # 0xaf
'Zhuo ', # 0xb0
'Zhao ', # 0xb1
'Da ', # 0xb2
'Nai ', # 0xb3
'Yuan ', # 0xb4
'Tou ', # 0xb5
'Xuan ', # 0xb6
'Zhi ', # 0xb7
'E ', # 0xb8
'Mei ', # 0xb9
'Mo ', # 0xba
'Qi ', # 0xbb
'Bi ', # 0xbc
'Shen ', # 0xbd
'Qie ', # 0xbe
'E ', # 0xbf
'He ', # 0xc0
'Xu ', # 0xc1
'Fa ', # 0xc2
'Zheng ', # 0xc3
'Min ', # 0xc4
'Ban ', # 0xc5
'Mu ', # 0xc6
'Fu ', # 0xc7
'Ling ', # 0xc8
'Zi ', # 0xc9
'Zi ', # 0xca
'Shi ', # 0xcb
'Ran ', # 0xcc
'Shan ', # 0xcd
'Yang ', # 0xce
'Man ', # 0xcf
'Jie ', # 0xd0
'Gu ', # 0xd1
'Si ', # 0xd2
'Xing ', # 0xd3
'Wei ', # 0xd4
'Zi ', # 0xd5
'Ju ', # 0xd6
'Shan ', # 0xd7
'Pin ', # 0xd8
'Ren ', # 0xd9
'Yao ', # 0xda
'Tong ', # 0xdb
'Jiang ', # 0xdc
'Shu ', # 0xdd
'Ji ', # 0xde
'Gai ', # 0xdf
'Shang ', # 0xe0
'Kuo ', # 0xe1
'Juan ', # 0xe2
'Jiao ', # 0xe3
'Gou ', # 0xe4
'Mu ', # 0xe5
'Jian ', # 0xe6
'Jian ', # 0xe7
'Yi ', # 0xe8
'Nian ', # 0xe9
'Zhi ', # 0xea
'Ji ', # 0xeb
'Ji ', # 0xec
'Xian ', # 0xed
'Heng ', # 0xee
'Guang ', # 0xef
'Jun ', # 0xf0
'Kua ', # 0xf1
'Yan ', # 0xf2
'Ming ', # 0xf3
'Lie ', # 0xf4
'Pei ', # 0xf5
'Yan ', # 0xf6
'You ', # 0xf7
'Yan ', # 0xf8
'Cha ', # 0xf9
'Shen ', # 0xfa
'Yin ', # 0xfb
'Chi ', # 0xfc
'Gui ', # 0xfd
'Quan ', # 0xfe
'Zi ', # 0xff
)
x05a = (
'Song ', # 0x00
'Wei ', # 0x01
'Hong ', # 0x02
'Wa ', # 0x03
'Lou ', # 0x04
'Ya ', # 0x05
'Rao ', # 0x06
'Jiao ', # 0x07
'Luan ', # 0x08
'Ping ', # 0x09
'Xian ', # 0x0a
'Shao ', # 0x0b
'Li ', # 0x0c
'Cheng ', # 0x0d
'Xiao ', # 0x0e
'Mang ', # 0x0f
'Fu ', # 0x10
'Suo ', # 0x11
'Wu ', # 0x12
'Wei ', # 0x13
'Ke ', # 0x14
'Lai ', # 0x15
'Chuo ', # 0x16
'Ding ', # 0x17
'Niang ', # 0x18
'Xing ', # 0x19
'Nan ', # 0x1a
'Yu ', # 0x1b
'Nuo ', # 0x1c
'Pei ', # 0x1d
'Nei ', # 0x1e
'Juan ', # 0x1f
'Shen ', # 0x20
'Zhi ', # 0x21
'Han ', # 0x22
'Di ', # 0x23
'Zhuang ', # 0x24
'E ', # 0x25
'Pin ', # 0x26
'Tui ', # 0x27
'Han ', # 0x28
'Mian ', # 0x29
'Wu ', # 0x2a
'Yan ', # 0x2b
'Wu ', # 0x2c
'Xi ', # 0x2d
'Yan ', # 0x2e
'Yu ', # 0x2f
'Si ', # 0x30
'Yu ', # 0x31
'Wa ', # 0x32
'[?] ', # 0x33
'Xian ', # 0x34
'Ju ', # 0x35
'Qu ', # 0x36
'Shui ', # 0x37
'Qi ', # 0x38
'Xian ', # 0x39
'Zhui ', # 0x3a
'Dong ', # 0x3b
'Chang ', # 0x3c
'Lu ', # 0x3d
'Ai ', # 0x3e
'E ', # 0x3f
'E ', # 0x40
'Lou ', # 0x41
'Mian ', # 0x42
'Cong ', # 0x43
'Pou ', # 0x44
'Ju ', # 0x45
'Po ', # 0x46
'Cai ', # 0x47
'Ding ', # 0x48
'Wan ', # 0x49
'Biao ', # 0x4a
'Xiao ', # 0x4b
'Shu ', # 0x4c
'Qi ', # 0x4d
'Hui ', # 0x4e
'Fu ', # 0x4f
'E ', # 0x50
'Wo ', # 0x51
'Tan ', # 0x52
'Fei ', # 0x53
'Wei ', # 0x54
'Jie ', # 0x55
'Tian ', # 0x56
'Ni ', # 0x57
'Quan ', # 0x58
'Jing ', # 0x59
'Hun ', # 0x5a
'Jing ', # 0x5b
'Qian ', # 0x5c
'Dian ', # 0x5d
'Xing ', # 0x5e
'Hu ', # 0x5f
'Wa ', # 0x60
'Lai ', # 0x61
'Bi ', # 0x62
'Yin ', # 0x63
'Chou ', # 0x64
'Chuo ', # 0x65
'Fu ', # 0x66
'Jing ', # 0x67
'Lun ', # 0x68
'Yan ', # 0x69
'Lan ', # 0x6a
'Kun ', # 0x6b
'Yin ', # 0x6c
'Ya ', # 0x6d
'Ju ', # 0x6e
'Li ', # 0x6f
'Dian ', # 0x70
'Xian ', # 0x71
'Hwa ', # 0x72
'Hua ', # 0x73
'Ying ', # 0x74
'Chan ', # 0x75
'Shen ', # 0x76
'Ting ', # 0x77
'Dang ', # 0x78
'Yao ', # 0x79
'Wu ', # 0x7a
'Nan ', # 0x7b
'Ruo ', # 0x7c
'Jia ', # 0x7d
'Tou ', # 0x7e
'Xu ', # 0x7f
'Yu ', # 0x80
'Wei ', # 0x81
'Ti ', # 0x82
'Rou ', # 0x83
'Mei ', # 0x84
'Dan ', # 0x85
'Ruan ', # 0x86
'Qin ', # 0x87
'Hui ', # 0x88
'Wu ', # 0x89
'Qian ', # 0x8a
'Chun ', # 0x8b
'Mao ', # 0x8c
'Fu ', # 0x8d
'Jie ', # 0x8e
'Duan ', # 0x8f
'Xi ', # 0x90
'Zhong ', # 0x91
'Mei ', # 0x92
'Huang ', # 0x93
'Mian ', # 0x94
'An ', # 0x95
'Ying ', # 0x96
'Xuan ', # 0x97
'Jie ', # 0x98
'Wei ', # 0x99
'Mei ', # 0x9a
'Yuan ', # 0x9b
'Zhen ', # 0x9c
'Qiu ', # 0x9d
'Ti ', # 0x9e
'Xie ', # 0x9f
'Tuo ', # 0xa0
'Lian ', # 0xa1
'Mao ', # 0xa2
'Ran ', # 0xa3
'Si ', # 0xa4
'Pian ', # 0xa5
'Wei ', # 0xa6
'Wa ', # 0xa7
'Jiu ', # 0xa8
'Hu ', # 0xa9
'Ao ', # 0xaa
'[?] ', # 0xab
'Bou ', # 0xac
'Xu ', # 0xad
'Tou ', # 0xae
'Gui ', # 0xaf
'Zou ', # 0xb0
'Yao ', # 0xb1
'Pi ', # 0xb2
'Xi ', # 0xb3
'Yuan ', # 0xb4
'Ying ', # 0xb5
'Rong ', # 0xb6
'Ru ', # 0xb7
'Chi ', # 0xb8
'Liu ', # 0xb9
'Mei ', # 0xba
'Pan ', # 0xbb
'Ao ', # 0xbc
'Ma ', # 0xbd
'Gou ', # 0xbe
'Kui ', # 0xbf
'Qin ', # 0xc0
'Jia ', # 0xc1
'Sao ', # 0xc2
'Zhen ', # 0xc3
'Yuan ', # 0xc4
'Cha ', # 0xc5
'Yong ', # 0xc6
'Ming ', # 0xc7
'Ying ', # 0xc8
'Ji ', # 0xc9
'Su ', # 0xca
'Niao ', # 0xcb
'Xian ', # 0xcc
'Tao ', # 0xcd
'Pang ', # 0xce
'Lang ', # 0xcf
'Nao ', # 0xd0
'Bao ', # 0xd1
'Ai ', # 0xd2
'Pi ', # 0xd3
'Pin ', # 0xd4
'Yi ', # 0xd5
'Piao ', # 0xd6
'Yu ', # 0xd7
'Lei ', # 0xd8
'Xuan ', # 0xd9
'Man ', # 0xda
'Yi ', # 0xdb
'Zhang ', # 0xdc
'Kang ', # 0xdd
'Yong ', # 0xde
'Ni ', # 0xdf
'Li ', # 0xe0
'Di ', # 0xe1
'Gui ', # 0xe2
'Yan ', # 0xe3
'Jin ', # 0xe4
'Zhuan ', # 0xe5
'Chang ', # 0xe6
'Ce ', # 0xe7
'Han ', # 0xe8
'Nen ', # 0xe9
'Lao ', # 0xea
'Mo ', # 0xeb
'Zhe ', # 0xec
'Hu ', # 0xed
'Hu ', # 0xee
'Ao ', # 0xef
'Nen ', # 0xf0
'Qiang ', # 0xf1
'Ma ', # 0xf2
'Pie ', # 0xf3
'Gu ', # 0xf4
'Wu ', # 0xf5
'Jiao ', # 0xf6
'Tuo ', # 0xf7
'Zhan ', # 0xf8
'Mao ', # 0xf9
'Xian ', # 0xfa
'Xian ', # 0xfb
'Mo ', # 0xfc
'Liao ', # 0xfd
'Lian ', # 0xfe
'Hua ', # 0xff
)
x05b = (
'Gui ', # 0x00
'Deng ', # 0x01
'Zhi ', # 0x02
'Xu ', # 0x03
'Yi ', # 0x04
'Hua ', # 0x05
'Xi ', # 0x06
'Hui ', # 0x07
'Rao ', # 0x08
'Xi ', # 0x09
'Yan ', # 0x0a
'Chan ', # 0x0b
'Jiao ', # 0x0c
'Mei ', # 0x0d
'Fan ', # 0x0e
'Fan ', # 0x0f
'Xian ', # 0x10
'Yi ', # 0x11
'Wei ', # 0x12
'Jiao ', # 0x13
'Fu ', # 0x14
'Shi ', # 0x15
'Bi ', # 0x16
'Shan ', # 0x17
'Sui ', # 0x18
'Qiang ', # 0x19
'Lian ', # 0x1a
'Huan ', # 0x1b
'Xin ', # 0x1c
'Niao ', # 0x1d
'Dong ', # 0x1e
'Yi ', # 0x1f
'Can ', # 0x20
'Ai ', # 0x21
'Niang ', # 0x22
'Neng ', # 0x23
'Ma ', # 0x24
'Tiao ', # 0x25
'Chou ', # 0x26
'Jin ', # 0x27
'Ci ', # 0x28
'Yu ', # 0x29
'Pin ', # 0x2a
'Yong ', # 0x2b
'Xu ', # 0x2c
'Nai ', # 0x2d
'Yan ', # 0x2e
'Tai ', # 0x2f
'Ying ', # 0x30
'Can ', # 0x31
'Niao ', # 0x32
'Wo ', # 0x33
'Ying ', # 0x34
'Mian ', # 0x35
'Kaka ', # 0x36
'Ma ', # 0x37
'Shen ', # 0x38
'Xing ', # 0x39
'Ni ', # 0x3a
'Du ', # 0x3b
'Liu ', # 0x3c
'Yuan ', # 0x3d
'Lan ', # 0x3e
'Yan ', # 0x3f
'Shuang ', # 0x40
'Ling ', # 0x41
'Jiao ', # 0x42
'Niang ', # 0x43
'Lan ', # 0x44
'Xian ', # 0x45
'Ying ', # 0x46
'Shuang ', # 0x47
'Shuai ', # 0x48
'Quan ', # 0x49
'Mi ', # 0x4a
'Li ', # 0x4b
'Luan ', # 0x4c
'Yan ', # 0x4d
'Zhu ', # 0x4e
'Lan ', # 0x4f
'Zi ', # 0x50
'Jie ', # 0x51
'Jue ', # 0x52
'Jue ', # 0x53
'Kong ', # 0x54
'Yun ', # 0x55
'Zi ', # 0x56
'Zi ', # 0x57
'Cun ', # 0x58
'Sun ', # 0x59
'Fu ', # 0x5a
'Bei ', # 0x5b
'Zi ', # 0x5c
'Xiao ', # 0x5d
'Xin ', # 0x5e
'Meng ', # 0x5f
'Si ', # 0x60
'Tai ', # 0x61
'Bao ', # 0x62
'Ji ', # 0x63
'Gu ', # 0x64
'Nu ', # 0x65
'Xue ', # 0x66
'[?] ', # 0x67
'Zhuan ', # 0x68
'Hai ', # 0x69
'Luan ', # 0x6a
'Sun ', # 0x6b
'Huai ', # 0x6c
'Mie ', # 0x6d
'Cong ', # 0x6e
'Qian ', # 0x6f
'Shu ', # 0x70
'Chan ', # 0x71
'Ya ', # 0x72
'Zi ', # 0x73
'Ni ', # 0x74
'Fu ', # 0x75
'Zi ', # 0x76
'Li ', # 0x77
'Xue ', # 0x78
'Bo ', # 0x79
'Ru ', # 0x7a
'Lai ', # 0x7b
'Nie ', # 0x7c
'Nie ', # 0x7d
'Ying ', # 0x7e
'Luan ', # 0x7f
'Mian ', # 0x80
'Zhu ', # 0x81
'Rong ', # 0x82
'Ta ', # 0x83
'Gui ', # 0x84
'Zhai ', # 0x85
'Qiong ', # 0x86
'Yu ', # 0x87
'Shou ', # 0x88
'An ', # 0x89
'Tu ', # 0x8a
'Song ', # 0x8b
'Wan ', # 0x8c
'Rou ', # 0x8d
'Yao ', # 0x8e
'Hong ', # 0x8f
'Yi ', # 0x90
'Jing ', # 0x91
'Zhun ', # 0x92
'Mi ', # 0x93
'Zhu ', # 0x94
'Dang ', # 0x95
'Hong ', # 0x96
'Zong ', # 0x97
'Guan ', # 0x98
'Zhou ', # 0x99
'Ding ', # 0x9a
'Wan ', # 0x9b
'Yi ', # 0x9c
'Bao ', # 0x9d
'Shi ', # 0x9e
'Shi ', # 0x9f
'Chong ', # 0xa0
'Shen ', # 0xa1
'Ke ', # 0xa2
'Xuan ', # 0xa3
'Shi ', # 0xa4
'You ', # 0xa5
'Huan ', # 0xa6
'Yi ', # 0xa7
'Tiao ', # 0xa8
'Shi ', # 0xa9
'Xian ', # 0xaa
'Gong ', # 0xab
'Cheng ', # 0xac
'Qun ', # 0xad
'Gong ', # 0xae
'Xiao ', # 0xaf
'Zai ', # 0xb0
'Zha ', # 0xb1
'Bao ', # 0xb2
'Hai ', # 0xb3
'Yan ', # 0xb4
'Xiao ', # 0xb5
'Jia ', # 0xb6
'Shen ', # 0xb7
'Chen ', # 0xb8
'Rong ', # 0xb9
'Huang ', # 0xba
'Mi ', # 0xbb
'Kou ', # 0xbc
'Kuan ', # 0xbd
'Bin ', # 0xbe
'Su ', # 0xbf
'Cai ', # 0xc0
'Zan ', # 0xc1
'Ji ', # 0xc2
'Yuan ', # 0xc3
'Ji ', # 0xc4
'Yin ', # 0xc5
'Mi ', # 0xc6
'Kou ', # 0xc7
'Qing ', # 0xc8
'Que ', # 0xc9
'Zhen ', # 0xca
'Jian ', # 0xcb
'Fu ', # 0xcc
'Ning ', # 0xcd
'Bing ', # 0xce
'Huan ', # 0xcf
'Mei ', # 0xd0
'Qin ', # 0xd1
'Han ', # 0xd2
'Yu ', # 0xd3
'Shi ', # 0xd4
'Ning ', # 0xd5
'Qin ', # 0xd6
'Ning ', # 0xd7
'Zhi ', # 0xd8
'Yu ', # 0xd9
'Bao ', # 0xda
'Kuan ', # 0xdb
'Ning ', # 0xdc
'Qin ', # 0xdd
'Mo ', # 0xde
'Cha ', # 0xdf
'Ju ', # 0xe0
'Gua ', # 0xe1
'Qin ', # 0xe2
'Hu ', # 0xe3
'Wu ', # 0xe4
'Liao ', # 0xe5
'Shi ', # 0xe6
'Zhu ', # 0xe7
'Zhai ', # 0xe8
'Shen ', # 0xe9
'Wei ', # 0xea
'Xie ', # 0xeb
'Kuan ', # 0xec
'Hui ', # 0xed
'Liao ', # 0xee
'Jun ', # 0xef
'Huan ', # 0xf0
'Yi ', # 0xf1
'Yi ', # 0xf2
'Bao ', # 0xf3
'Qin ', # 0xf4
'Chong ', # 0xf5
'Bao ', # 0xf6
'Feng ', # 0xf7
'Cun ', # 0xf8
'Dui ', # 0xf9
'Si ', # 0xfa
'Xun ', # 0xfb
'Dao ', # 0xfc
'Lu ', # 0xfd
'Dui ', # 0xfe
'Shou ', # 0xff
)
x05c = (
'Po ', # 0x00
'Feng ', # 0x01
'Zhuan ', # 0x02
'Fu ', # 0x03
'She ', # 0x04
'Ke ', # 0x05
'Jiang ', # 0x06
'Jiang ', # 0x07
'Zhuan ', # 0x08
'Wei ', # 0x09
'Zun ', # 0x0a
'Xun ', # 0x0b
'Shu ', # 0x0c
'Dui ', # 0x0d
'Dao ', # 0x0e
'Xiao ', # 0x0f
'Ji ', # 0x10
'Shao ', # 0x11
'Er ', # 0x12
'Er ', # 0x13
'Er ', # 0x14
'Ga ', # 0x15
'Jian ', # 0x16
'Shu ', # 0x17
'Chen ', # 0x18
'Shang ', # 0x19
'Shang ', # 0x1a
'Mo ', # 0x1b
'Ga ', # 0x1c
'Chang ', # 0x1d
'Liao ', # 0x1e
'Xian ', # 0x1f
'Xian ', # 0x20
'[?] ', # 0x21
'Wang ', # 0x22
'Wang ', # 0x23
'You ', # 0x24
'Liao ', # 0x25
'Liao ', # 0x26
'Yao ', # 0x27
'Mang ', # 0x28
'Wang ', # 0x29
'Wang ', # 0x2a
'Wang ', # 0x2b
'Ga ', # 0x2c
'Yao ', # 0x2d
'Duo ', # 0x2e
'Kui ', # 0x2f
'Zhong ', # 0x30
'Jiu ', # 0x31
'Gan ', # 0x32
'Gu ', # 0x33
'Gan ', # 0x34
'Tui ', # 0x35
'Gan ', # 0x36
'Gan ', # 0x37
'Shi ', # 0x38
'Yin ', # 0x39
'Chi ', # 0x3a
'Kao ', # 0x3b
'Ni ', # 0x3c
'Jin ', # 0x3d
'Wei ', # 0x3e
'Niao ', # 0x3f
'Ju ', # 0x40
'Pi ', # 0x41
'Ceng ', # 0x42
'Xi ', # 0x43
'Bi ', # 0x44
'Ju ', # 0x45
'Jie ', # 0x46
'Tian ', # 0x47
'Qu ', # 0x48
'Ti ', # 0x49
'Jie ', # 0x4a
'Wu ', # 0x4b
'Diao ', # 0x4c
'Shi ', # 0x4d
'Shi ', # 0x4e
'Ping ', # 0x4f
'Ji ', # 0x50
'Xie ', # 0x51
'Chen ', # 0x52
'Xi ', # 0x53
'Ni ', # 0x54
'Zhan ', # 0x55
'Xi ', # 0x56
'[?] ', # 0x57
'Man ', # 0x58
'E ', # 0x59
'Lou ', # 0x5a
'Ping ', # 0x5b
'Ti ', # 0x5c
'Fei ', # 0x5d
'Shu ', # 0x5e
'Xie ', # 0x5f
'Tu ', # 0x60
'Lu ', # 0x61
'Lu ', # 0x62
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'Lu ', # 0x65
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'Han ', # 0x7d
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'Chu ', # 0x80
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'Ban ', # 0x85
'Yao ', # 0x86
'Ang ', # 0x87
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'Wu ', # 0x89
'Jie ', # 0x8a
'E ', # 0x8b
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'Qian ', # 0x8d
'Fen ', # 0x8e
'Yuan ', # 0x8f
'Qi ', # 0x90
'Cen ', # 0x91
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'Qi ', # 0x93
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'Jie ', # 0x95
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'Gang ', # 0x97
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'Ao ', # 0x99
'Lan ', # 0x9a
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'Ba ', # 0x9c
'Zuo ', # 0x9d
'Zuo ', # 0x9e
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'Ling ', # 0xba
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'Yuri ', # 0xbc
'Dong ', # 0xbd
'Cem ', # 0xbe
'Kui ', # 0xbf
'Xiu ', # 0xc0
'Mao ', # 0xc1
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'Xue ', # 0xc3
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'Kura ', # 0xc5
'He ', # 0xc6
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'Die ', # 0xcc
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'Er ', # 0xcf
'Gai ', # 0xd0
'Quan ', # 0xd1
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'Yi ', # 0xd3
'Mu ', # 0xd4
'Shi ', # 0xd5
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'Hu ', # 0xd8
'Zhi ', # 0xd9
'Mi ', # 0xda
'Li ', # 0xdb
'Ji ', # 0xdc
'Tong ', # 0xdd
'Wei ', # 0xde
'You ', # 0xdf
'Sang ', # 0xe0
'Xia ', # 0xe1
'Li ', # 0xe2
'Yao ', # 0xe3
'Jiao ', # 0xe4
'Zheng ', # 0xe5
'Luan ', # 0xe6
'Jiao ', # 0xe7
'E ', # 0xe8
'E ', # 0xe9
'Yu ', # 0xea
'Ye ', # 0xeb
'Bu ', # 0xec
'Qiao ', # 0xed
'Qun ', # 0xee
'Feng ', # 0xef
'Feng ', # 0xf0
'Nao ', # 0xf1
'Li ', # 0xf2
'You ', # 0xf3
'Xian ', # 0xf4
'Hong ', # 0xf5
'Dao ', # 0xf6
'Shen ', # 0xf7
'Cheng ', # 0xf8
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'Geng ', # 0xfa
'Jun ', # 0xfb
'Hao ', # 0xfc
'Xia ', # 0xfd
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'Kan ', # 0x01
'Lao ', # 0x02
'Lai ', # 0x03
'Xian ', # 0x04
'Que ', # 0x05
'Kong ', # 0x06
'Chong ', # 0x07
'Chong ', # 0x08
'Ta ', # 0x09
'Lin ', # 0x0a
'Hua ', # 0x0b
'Ju ', # 0x0c
'Lai ', # 0x0d
'Qi ', # 0x0e
'Min ', # 0x0f
'Kun ', # 0x10
'Kun ', # 0x11
'Zu ', # 0x12
'Gu ', # 0x13
'Cui ', # 0x14
'Ya ', # 0x15
'Ya ', # 0x16
'Gang ', # 0x17
'Lun ', # 0x18
'Lun ', # 0x19
'Leng ', # 0x1a
'Jue ', # 0x1b
'Duo ', # 0x1c
'Zheng ', # 0x1d
'Guo ', # 0x1e
'Yin ', # 0x1f
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'Yan ', # 0x26
'Song ', # 0x27
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'Zu ', # 0x2a
'Jue ', # 0x2b
'Dong ', # 0x2c
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'Gu ', # 0x2e
'Yin ', # 0x2f
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'Huan ', # 0x48
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'Zong ', # 0x55
'Cha ', # 0x56
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'Yamashina ', # 0x59
'Qin ', # 0x5a
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'Kewashii ', # 0x5c
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'Xi ', # 0x60
'Weng ', # 0x61
'Cang ', # 0x62
'Dang ', # 0x63
'Hong ', # 0x64
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'Liu ', # 0x67
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'Song ', # 0x69
'Qiao ', # 0x6a
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'Beng ', # 0x6d
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'Cuo ', # 0x6f
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'Yong ', # 0x71
'Nie ', # 0x72
'Cuo ', # 0x73
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'[?] ', # 0x75
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'Song ', # 0x77
'Zong ', # 0x78
'Jiang ', # 0x79
'Liao ', # 0x7a
'Kang ', # 0x7b
'Chan ', # 0x7c
'Die ', # 0x7d
'Cen ', # 0x7e
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'Lou ', # 0x81
'Zhang ', # 0x82
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'Zhan ', # 0x84
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'Cao ', # 0x86
'Qu ', # 0x87
'Qiang ', # 0x88
'Zui ', # 0x89
'Zui ', # 0x8a
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'Dao ', # 0x8c
'Xi ', # 0x8d
'Yu ', # 0x8e
'Bo ', # 0x8f
'Long ', # 0x90
'Xiang ', # 0x91
'Ceng ', # 0x92
'Bo ', # 0x93
'Qin ', # 0x94
'Jiao ', # 0x95
'Yan ', # 0x96
'Lao ', # 0x97
'Zhan ', # 0x98
'Lin ', # 0x99
'Liao ', # 0x9a
'Liao ', # 0x9b
'Jin ', # 0x9c
'Deng ', # 0x9d
'Duo ', # 0x9e
'Zun ', # 0x9f
'Jiao ', # 0xa0
'Gui ', # 0xa1
'Yao ', # 0xa2
'Qiao ', # 0xa3
'Yao ', # 0xa4
'Jue ', # 0xa5
'Zhan ', # 0xa6
'Yi ', # 0xa7
'Xue ', # 0xa8
'Nao ', # 0xa9
'Ye ', # 0xaa
'Ye ', # 0xab
'Yi ', # 0xac
'E ', # 0xad
'Xian ', # 0xae
'Ji ', # 0xaf
'Xie ', # 0xb0
'Ke ', # 0xb1
'Xi ', # 0xb2
'Di ', # 0xb3
'Ao ', # 0xb4
'Zui ', # 0xb5
'[?] ', # 0xb6
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'Rong ', # 0xb8
'Dao ', # 0xb9
'Ling ', # 0xba
'Za ', # 0xbb
'Yu ', # 0xbc
'Yue ', # 0xbd
'Yin ', # 0xbe
'[?] ', # 0xbf
'Jie ', # 0xc0
'Li ', # 0xc1
'Sui ', # 0xc2
'Long ', # 0xc3
'Long ', # 0xc4
'Dian ', # 0xc5
'Ying ', # 0xc6
'Xi ', # 0xc7
'Ju ', # 0xc8
'Chan ', # 0xc9
'Ying ', # 0xca
'Kui ', # 0xcb
'Yan ', # 0xcc
'Wei ', # 0xcd
'Nao ', # 0xce
'Quan ', # 0xcf
'Chao ', # 0xd0
'Cuan ', # 0xd1
'Luan ', # 0xd2
'Dian ', # 0xd3
'Dian ', # 0xd4
'[?] ', # 0xd5
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'Yan ', # 0xd7
'Yan ', # 0xd8
'Nao ', # 0xd9
'Yan ', # 0xda
'Chuan ', # 0xdb
'Gui ', # 0xdc
'Chuan ', # 0xdd
'Zhou ', # 0xde
'Huang ', # 0xdf
'Jing ', # 0xe0
'Xun ', # 0xe1
'Chao ', # 0xe2
'Chao ', # 0xe3
'Lie ', # 0xe4
'Gong ', # 0xe5
'Zuo ', # 0xe6
'Qiao ', # 0xe7
'Ju ', # 0xe8
'Gong ', # 0xe9
'Kek ', # 0xea
'Wu ', # 0xeb
'Pwu ', # 0xec
'Pwu ', # 0xed
'Chai ', # 0xee
'Qiu ', # 0xef
'Qiu ', # 0xf0
'Ji ', # 0xf1
'Yi ', # 0xf2
'Si ', # 0xf3
'Ba ', # 0xf4
'Zhi ', # 0xf5
'Zhao ', # 0xf6
'Xiang ', # 0xf7
'Yi ', # 0xf8
'Jin ', # 0xf9
'Xun ', # 0xfa
'Juan ', # 0xfb
'Phas ', # 0xfc
'Xun ', # 0xfd
'Jin ', # 0xfe
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)
x05e = (
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'Bi ', # 0x01
'Shi ', # 0x02
'Bu ', # 0x03
'Ding ', # 0x04
'Shuai ', # 0x05
'Fan ', # 0x06
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'Fen ', # 0x09
'Pa ', # 0x0a
'Zhi ', # 0x0b
'Xi ', # 0x0c
'Hu ', # 0x0d
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'Wei ', # 0x0f
'Zhang ', # 0x10
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'Dai ', # 0x12
'Ma ', # 0x13
'Pei ', # 0x14
'Pa ', # 0x15
'Tie ', # 0x16
'Fu ', # 0x17
'Lian ', # 0x18
'Zhi ', # 0x19
'Zhou ', # 0x1a
'Bo ', # 0x1b
'Zhi ', # 0x1c
'Di ', # 0x1d
'Mo ', # 0x1e
'Yi ', # 0x1f
'Yi ', # 0x20
'Ping ', # 0x21
'Qia ', # 0x22
'Juan ', # 0x23
'Ru ', # 0x24
'Shuai ', # 0x25
'Dai ', # 0x26
'Zheng ', # 0x27
'Shui ', # 0x28
'Qiao ', # 0x29
'Zhen ', # 0x2a
'Shi ', # 0x2b
'Qun ', # 0x2c
'Xi ', # 0x2d
'Bang ', # 0x2e
'Dai ', # 0x2f
'Gui ', # 0x30
'Chou ', # 0x31
'Ping ', # 0x32
'Zhang ', # 0x33
'Sha ', # 0x34
'Wan ', # 0x35
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'Chang ', # 0x38
'Sha ', # 0x39
'Qi ', # 0x3a
'Ze ', # 0x3b
'Guo ', # 0x3c
'Mao ', # 0x3d
'Du ', # 0x3e
'Hou ', # 0x3f
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'Xu ', # 0x41
'Mi ', # 0x42
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'Fu ', # 0x45
'Yi ', # 0x46
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'Tazuna ', # 0x49
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'Zhong ', # 0x52
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'Mu ', # 0x55
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'Mu ', # 0x59
'Bang ', # 0x5a
'Zhang ', # 0x5b
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'Fan ', # 0x61
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'Bi ', # 0x63
'Hei ', # 0x64
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'Qiao ', # 0x67
'Chan ', # 0x68
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'Meng ', # 0x6a
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'Mie ', # 0x6d
'Chu ', # 0x6e
'Jie ', # 0x6f
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'Lan ', # 0x71
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'Ping ', # 0x73
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'Qian ', # 0x75
'Bing ', # 0x76
'Bing ', # 0x77
'Xing ', # 0x78
'Gan ', # 0x79
'Yao ', # 0x7a
'Huan ', # 0x7b
'You ', # 0x7c
'You ', # 0x7d
'Ji ', # 0x7e
'Yan ', # 0x7f
'Pi ', # 0x80
'Ting ', # 0x81
'Ze ', # 0x82
'Guang ', # 0x83
'Zhuang ', # 0x84
'Mo ', # 0x85
'Qing ', # 0x86
'Bi ', # 0x87
'Qin ', # 0x88
'Dun ', # 0x89
'Chuang ', # 0x8a
'Gui ', # 0x8b
'Ya ', # 0x8c
'Bai ', # 0x8d
'Jie ', # 0x8e
'Xu ', # 0x8f
'Lu ', # 0x90
'Wu ', # 0x91
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'Ku ', # 0x93
'Ying ', # 0x94
'Di ', # 0x95
'Pao ', # 0x96
'Dian ', # 0x97
'Ya ', # 0x98
'Miao ', # 0x99
'Geng ', # 0x9a
'Ci ', # 0x9b
'Fu ', # 0x9c
'Tong ', # 0x9d
'Pang ', # 0x9e
'Fei ', # 0x9f
'Xiang ', # 0xa0
'Yi ', # 0xa1
'Zhi ', # 0xa2
'Tiao ', # 0xa3
'Zhi ', # 0xa4
'Xiu ', # 0xa5
'Du ', # 0xa6
'Zuo ', # 0xa7
'Xiao ', # 0xa8
'Tu ', # 0xa9
'Gui ', # 0xaa
'Ku ', # 0xab
'Pang ', # 0xac
'Ting ', # 0xad
'You ', # 0xae
'Bu ', # 0xaf
'Ding ', # 0xb0
'Cheng ', # 0xb1
'Lai ', # 0xb2
'Bei ', # 0xb3
'Ji ', # 0xb4
'An ', # 0xb5
'Shu ', # 0xb6
'Kang ', # 0xb7
'Yong ', # 0xb8
'Tuo ', # 0xb9
'Song ', # 0xba
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'Yu ', # 0xbd
'Yu ', # 0xbe
'Miao ', # 0xbf
'Sou ', # 0xc0
'Ce ', # 0xc1
'Xiang ', # 0xc2
'Fei ', # 0xc3
'Jiu ', # 0xc4
'He ', # 0xc5
'Hui ', # 0xc6
'Liu ', # 0xc7
'Sha ', # 0xc8
'Lian ', # 0xc9
'Lang ', # 0xca
'Sou ', # 0xcb
'Jian ', # 0xcc
'Pou ', # 0xcd
'Qing ', # 0xce
'Jiu ', # 0xcf
'Jiu ', # 0xd0
'Qin ', # 0xd1
'Ao ', # 0xd2
'Kuo ', # 0xd3
'Lou ', # 0xd4
'Yin ', # 0xd5
'Liao ', # 0xd6
'Dai ', # 0xd7
'Lu ', # 0xd8
'Yi ', # 0xd9
'Chu ', # 0xda
'Chan ', # 0xdb
'Tu ', # 0xdc
'Si ', # 0xdd
'Xin ', # 0xde
'Miao ', # 0xdf
'Chang ', # 0xe0
'Wu ', # 0xe1
'Fei ', # 0xe2
'Guang ', # 0xe3
'Koc ', # 0xe4
'Kuai ', # 0xe5
'Bi ', # 0xe6
'Qiang ', # 0xe7
'Xie ', # 0xe8
'Lin ', # 0xe9
'Lin ', # 0xea
'Liao ', # 0xeb
'Lu ', # 0xec
'[?] ', # 0xed
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'Xian ', # 0xef
'Ting ', # 0xf0
'Yong ', # 0xf1
'Li ', # 0xf2
'Ting ', # 0xf3
'Yin ', # 0xf4
'Xun ', # 0xf5
'Yan ', # 0xf6
'Ting ', # 0xf7
'Di ', # 0xf8
'Po ', # 0xf9
'Jian ', # 0xfa
'Hui ', # 0xfb
'Nai ', # 0xfc
'Hui ', # 0xfd
'Gong ', # 0xfe
'Nian ', # 0xff
)
x05f = (
'Kai ', # 0x00
'Bian ', # 0x01
'Yi ', # 0x02
'Qi ', # 0x03
'Nong ', # 0x04
'Fen ', # 0x05
'Ju ', # 0x06
'Yan ', # 0x07
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'Zang ', # 0x09
'Bi ', # 0x0a
'Yi ', # 0x0b
'Yi ', # 0x0c
'Er ', # 0x0d
'San ', # 0x0e
'Shi ', # 0x0f
'Er ', # 0x10
'Shi ', # 0x11
'Shi ', # 0x12
'Gong ', # 0x13
'Diao ', # 0x14
'Yin ', # 0x15
'Hu ', # 0x16
'Fu ', # 0x17
'Hong ', # 0x18
'Wu ', # 0x19
'Tui ', # 0x1a
'Chi ', # 0x1b
'Jiang ', # 0x1c
'Ba ', # 0x1d
'Shen ', # 0x1e
'Di ', # 0x1f
'Zhang ', # 0x20
'Jue ', # 0x21
'Tao ', # 0x22
'Fu ', # 0x23
'Di ', # 0x24
'Mi ', # 0x25
'Xian ', # 0x26
'Hu ', # 0x27
'Chao ', # 0x28
'Nu ', # 0x29
'Jing ', # 0x2a
'Zhen ', # 0x2b
'Yi ', # 0x2c
'Mi ', # 0x2d
'Quan ', # 0x2e
'Wan ', # 0x2f
'Shao ', # 0x30
'Ruo ', # 0x31
'Xuan ', # 0x32
'Jing ', # 0x33
'Dun ', # 0x34
'Zhang ', # 0x35
'Jiang ', # 0x36
'Qiang ', # 0x37
'Peng ', # 0x38
'Dan ', # 0x39
'Qiang ', # 0x3a
'Bi ', # 0x3b
'Bi ', # 0x3c
'She ', # 0x3d
'Dan ', # 0x3e
'Jian ', # 0x3f
'Gou ', # 0x40
'Sei ', # 0x41
'Fa ', # 0x42
'Bi ', # 0x43
'Kou ', # 0x44
'Nagi ', # 0x45
'Bie ', # 0x46
'Xiao ', # 0x47
'Dan ', # 0x48
'Kuo ', # 0x49
'Qiang ', # 0x4a
'Hong ', # 0x4b
'Mi ', # 0x4c
'Kuo ', # 0x4d
'Wan ', # 0x4e
'Jue ', # 0x4f
'Ji ', # 0x50
'Ji ', # 0x51
'Gui ', # 0x52
'Dang ', # 0x53
'Lu ', # 0x54
'Lu ', # 0x55
'Tuan ', # 0x56
'Hui ', # 0x57
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'Hui ', # 0x59
'Hui ', # 0x5a
'Yi ', # 0x5b
'Yi ', # 0x5c
'Yi ', # 0x5d
'Yi ', # 0x5e
'Huo ', # 0x5f
'Huo ', # 0x60
'Shan ', # 0x61
'Xing ', # 0x62
'Wen ', # 0x63
'Tong ', # 0x64
'Yan ', # 0x65
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'Chi ', # 0x68
'Cai ', # 0x69
'Biao ', # 0x6a
'Diao ', # 0x6b
'Bin ', # 0x6c
'Peng ', # 0x6d
'Yong ', # 0x6e
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'Zhang ', # 0x70
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'Chi ', # 0x72
'Chi ', # 0x73
'Zhuo ', # 0x74
'Tuo ', # 0x75
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'Pang ', # 0x77
'Zhong ', # 0x78
'Yi ', # 0x79
'Wang ', # 0x7a
'Che ', # 0x7b
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'Chi ', # 0x7d
'Ling ', # 0x7e
'Fu ', # 0x7f
'Wang ', # 0x80
'Zheng ', # 0x81
'Cu ', # 0x82
'Wang ', # 0x83
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'Xun ', # 0x87
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'Huai ', # 0x8a
'Lu ', # 0x8b
'Hou ', # 0x8c
'Wa ', # 0x8d
'Cheng ', # 0x8e
'Zhi ', # 0x8f
'Xu ', # 0x90
'Jing ', # 0x91
'Tu ', # 0x92
'Cong ', # 0x93
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'Chang ', # 0x9c
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'Yu ', # 0xa1
'Xie ', # 0xa2
'Jie ', # 0xa3
'Jian ', # 0xa4
'Chi ', # 0xa5
'Jia ', # 0xa6
'Bian ', # 0xa7
'Huang ', # 0xa8
'Fu ', # 0xa9
'Xun ', # 0xaa
'Wei ', # 0xab
'Pang ', # 0xac
'Yao ', # 0xad
'Wei ', # 0xae
'Xi ', # 0xaf
'Zheng ', # 0xb0
'Piao ', # 0xb1
'Chi ', # 0xb2
'De ', # 0xb3
'Zheng ', # 0xb4
'Zheng ', # 0xb5
'Bie ', # 0xb6
'De ', # 0xb7
'Chong ', # 0xb8
'Che ', # 0xb9
'Jiao ', # 0xba
'Wei ', # 0xbb
'Jiao ', # 0xbc
'Hui ', # 0xbd
'Mei ', # 0xbe
'Long ', # 0xbf
'Xiang ', # 0xc0
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'Xin ', # 0xc3
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'Yi ', # 0xc6
'Le ', # 0xc7
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'Dao ', # 0xc9
'Ding ', # 0xca
'Gai ', # 0xcb
'Ji ', # 0xcc
'Ren ', # 0xcd
'Ren ', # 0xce
'Chan ', # 0xcf
'Tan ', # 0xd0
'Te ', # 0xd1
'Te ', # 0xd2
'Gan ', # 0xd3
'Qi ', # 0xd4
'Shi ', # 0xd5
'Cun ', # 0xd6
'Zhi ', # 0xd7
'Wang ', # 0xd8
'Mang ', # 0xd9
'Xi ', # 0xda
'Fan ', # 0xdb
'Ying ', # 0xdc
'Tian ', # 0xdd
'Min ', # 0xde
'Min ', # 0xdf
'Zhong ', # 0xe0
'Chong ', # 0xe1
'Wu ', # 0xe2
'Ji ', # 0xe3
'Wu ', # 0xe4
'Xi ', # 0xe5
'Ye ', # 0xe6
'You ', # 0xe7
'Wan ', # 0xe8
'Cong ', # 0xe9
'Zhong ', # 0xea
'Kuai ', # 0xeb
'Yu ', # 0xec
'Bian ', # 0xed
'Zhi ', # 0xee
'Qi ', # 0xef
'Cui ', # 0xf0
'Chen ', # 0xf1
'Tai ', # 0xf2
'Tun ', # 0xf3
'Qian ', # 0xf4
'Nian ', # 0xf5
'Hun ', # 0xf6
'Xiong ', # 0xf7
'Niu ', # 0xf8
'Wang ', # 0xf9
'Xian ', # 0xfa
'Xin ', # 0xfb
'Kang ', # 0xfc
'Hu ', # 0xfd
'Kai ', # 0xfe
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x060 = (
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'Song ', # 0x02
'Wu ', # 0x03
'Ou ', # 0x04
'Chang ', # 0x05
'Chuang ', # 0x06
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'Yi ', # 0x08
'Bao ', # 0x09
'Chao ', # 0x0a
'Min ', # 0x0b
'Pei ', # 0x0c
'Zuo ', # 0x0d
'Zen ', # 0x0e
'Yang ', # 0x0f
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'Ban ', # 0x11
'Nu ', # 0x12
'Nao ', # 0x13
'Zheng ', # 0x14
'Pa ', # 0x15
'Bu ', # 0x16
'Tie ', # 0x17
'Gu ', # 0x18
'Hu ', # 0x19
'Ju ', # 0x1a
'Da ', # 0x1b
'Lian ', # 0x1c
'Si ', # 0x1d
'Chou ', # 0x1e
'Di ', # 0x1f
'Dai ', # 0x20
'Yi ', # 0x21
'Tu ', # 0x22
'You ', # 0x23
'Fu ', # 0x24
'Ji ', # 0x25
'Peng ', # 0x26
'Xing ', # 0x27
'Yuan ', # 0x28
'Ni ', # 0x29
'Guai ', # 0x2a
'Fu ', # 0x2b
'Xi ', # 0x2c
'Bi ', # 0x2d
'You ', # 0x2e
'Qie ', # 0x2f
'Xuan ', # 0x30
'Cong ', # 0x31
'Bing ', # 0x32
'Huang ', # 0x33
'Xu ', # 0x34
'Chu ', # 0x35
'Pi ', # 0x36
'Xi ', # 0x37
'Xi ', # 0x38
'Tan ', # 0x39
'Koraeru ', # 0x3a
'Zong ', # 0x3b
'Dui ', # 0x3c
'[?] ', # 0x3d
'Ki ', # 0x3e
'Yi ', # 0x3f
'Chi ', # 0x40
'Ren ', # 0x41
'Xun ', # 0x42
'Shi ', # 0x43
'Xi ', # 0x44
'Lao ', # 0x45
'Heng ', # 0x46
'Kuang ', # 0x47
'Mu ', # 0x48
'Zhi ', # 0x49
'Xie ', # 0x4a
'Lian ', # 0x4b
'Tiao ', # 0x4c
'Huang ', # 0x4d
'Die ', # 0x4e
'Hao ', # 0x4f
'Kong ', # 0x50
'Gui ', # 0x51
'Heng ', # 0x52
'Xi ', # 0x53
'Xiao ', # 0x54
'Shu ', # 0x55
'S ', # 0x56
'Kua ', # 0x57
'Qiu ', # 0x58
'Yang ', # 0x59
'Hui ', # 0x5a
'Hui ', # 0x5b
'Chi ', # 0x5c
'Jia ', # 0x5d
'Yi ', # 0x5e
'Xiong ', # 0x5f
'Guai ', # 0x60
'Lin ', # 0x61
'Hui ', # 0x62
'Zi ', # 0x63
'Xu ', # 0x64
'Chi ', # 0x65
'Xiang ', # 0x66
'Nu ', # 0x67
'Hen ', # 0x68
'En ', # 0x69
'Ke ', # 0x6a
'Tong ', # 0x6b
'Tian ', # 0x6c
'Gong ', # 0x6d
'Quan ', # 0x6e
'Xi ', # 0x6f
'Qia ', # 0x70
'Yue ', # 0x71
'Peng ', # 0x72
'Ken ', # 0x73
'De ', # 0x74
'Hui ', # 0x75
'E ', # 0x76
'Kyuu ', # 0x77
'Tong ', # 0x78
'Yan ', # 0x79
'Kai ', # 0x7a
'Ce ', # 0x7b
'Nao ', # 0x7c
'Yun ', # 0x7d
'Mang ', # 0x7e
'Yong ', # 0x7f
'Yong ', # 0x80
'Yuan ', # 0x81
'Pi ', # 0x82
'Kun ', # 0x83
'Qiao ', # 0x84
'Yue ', # 0x85
'Yu ', # 0x86
'Yu ', # 0x87
'Jie ', # 0x88
'Xi ', # 0x89
'Zhe ', # 0x8a
'Lin ', # 0x8b
'Ti ', # 0x8c
'Han ', # 0x8d
'Hao ', # 0x8e
'Qie ', # 0x8f
'Ti ', # 0x90
'Bu ', # 0x91
'Yi ', # 0x92
'Qian ', # 0x93
'Hui ', # 0x94
'Xi ', # 0x95
'Bei ', # 0x96
'Man ', # 0x97
'Yi ', # 0x98
'Heng ', # 0x99
'Song ', # 0x9a
'Quan ', # 0x9b
'Cheng ', # 0x9c
'Hui ', # 0x9d
'Wu ', # 0x9e
'Wu ', # 0x9f
'You ', # 0xa0
'Li ', # 0xa1
'Liang ', # 0xa2
'Huan ', # 0xa3
'Cong ', # 0xa4
'Yi ', # 0xa5
'Yue ', # 0xa6
'Li ', # 0xa7
'Nin ', # 0xa8
'Nao ', # 0xa9
'E ', # 0xaa
'Que ', # 0xab
'Xuan ', # 0xac
'Qian ', # 0xad
'Wu ', # 0xae
'Min ', # 0xaf
'Cong ', # 0xb0
'Fei ', # 0xb1
'Bei ', # 0xb2
'Duo ', # 0xb3
'Cui ', # 0xb4
'Chang ', # 0xb5
'Men ', # 0xb6
'Li ', # 0xb7
'Ji ', # 0xb8
'Guan ', # 0xb9
'Guan ', # 0xba
'Xing ', # 0xbb
'Dao ', # 0xbc
'Qi ', # 0xbd
'Kong ', # 0xbe
'Tian ', # 0xbf
'Lun ', # 0xc0
'Xi ', # 0xc1
'Kan ', # 0xc2
'Kun ', # 0xc3
'Ni ', # 0xc4
'Qing ', # 0xc5
'Chou ', # 0xc6
'Dun ', # 0xc7
'Guo ', # 0xc8
'Chan ', # 0xc9
'Liang ', # 0xca
'Wan ', # 0xcb
'Yuan ', # 0xcc
'Jin ', # 0xcd
'Ji ', # 0xce
'Lin ', # 0xcf
'Yu ', # 0xd0
'Huo ', # 0xd1
'He ', # 0xd2
'Quan ', # 0xd3
'Tan ', # 0xd4
'Ti ', # 0xd5
'Ti ', # 0xd6
'Nie ', # 0xd7
'Wang ', # 0xd8
'Chuo ', # 0xd9
'Bu ', # 0xda
'Hun ', # 0xdb
'Xi ', # 0xdc
'Tang ', # 0xdd
'Xin ', # 0xde
'Wei ', # 0xdf
'Hui ', # 0xe0
'E ', # 0xe1
'Rui ', # 0xe2
'Zong ', # 0xe3
'Jian ', # 0xe4
'Yong ', # 0xe5
'Dian ', # 0xe6
'Ju ', # 0xe7
'Can ', # 0xe8
'Cheng ', # 0xe9
'De ', # 0xea
'Bei ', # 0xeb
'Qie ', # 0xec
'Can ', # 0xed
'Dan ', # 0xee
'Guan ', # 0xef
'Duo ', # 0xf0
'Nao ', # 0xf1
'Yun ', # 0xf2
'Xiang ', # 0xf3
'Zhui ', # 0xf4
'Die ', # 0xf5
'Huang ', # 0xf6
'Chun ', # 0xf7
'Qiong ', # 0xf8
'Re ', # 0xf9
'Xing ', # 0xfa
'Ce ', # 0xfb
'Bian ', # 0xfc
'Hun ', # 0xfd
'Zong ', # 0xfe
'Ti ', # 0xff
)
x061 = (
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'Chou ', # 0x01
'Bei ', # 0x02
'Xuan ', # 0x03
'Wei ', # 0x04
'Ge ', # 0x05
'Qian ', # 0x06
'Wei ', # 0x07
'Yu ', # 0x08
'Yu ', # 0x09
'Bi ', # 0x0a
'Xuan ', # 0x0b
'Huan ', # 0x0c
'Min ', # 0x0d
'Bi ', # 0x0e
'Yi ', # 0x0f
'Mian ', # 0x10
'Yong ', # 0x11
'Kai ', # 0x12
'Dang ', # 0x13
'Yin ', # 0x14
'E ', # 0x15
'Chen ', # 0x16
'Mou ', # 0x17
'Ke ', # 0x18
'Ke ', # 0x19
'Yu ', # 0x1a
'Ai ', # 0x1b
'Qie ', # 0x1c
'Yan ', # 0x1d
'Nuo ', # 0x1e
'Gan ', # 0x1f
'Yun ', # 0x20
'Zong ', # 0x21
'Sai ', # 0x22
'Leng ', # 0x23
'Fen ', # 0x24
'[?] ', # 0x25
'Kui ', # 0x26
'Kui ', # 0x27
'Que ', # 0x28
'Gong ', # 0x29
'Yun ', # 0x2a
'Su ', # 0x2b
'Su ', # 0x2c
'Qi ', # 0x2d
'Yao ', # 0x2e
'Song ', # 0x2f
'Huang ', # 0x30
'Ji ', # 0x31
'Gu ', # 0x32
'Ju ', # 0x33
'Chuang ', # 0x34
'Ni ', # 0x35
'Xie ', # 0x36
'Kai ', # 0x37
'Zheng ', # 0x38
'Yong ', # 0x39
'Cao ', # 0x3a
'Sun ', # 0x3b
'Shen ', # 0x3c
'Bo ', # 0x3d
'Kai ', # 0x3e
'Yuan ', # 0x3f
'Xie ', # 0x40
'Hun ', # 0x41
'Yong ', # 0x42
'Yang ', # 0x43
'Li ', # 0x44
'Sao ', # 0x45
'Tao ', # 0x46
'Yin ', # 0x47
'Ci ', # 0x48
'Xu ', # 0x49
'Qian ', # 0x4a
'Tai ', # 0x4b
'Huang ', # 0x4c
'Yun ', # 0x4d
'Shen ', # 0x4e
'Ming ', # 0x4f
'[?] ', # 0x50
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'Cong ', # 0x52
'Piao ', # 0x53
'Mo ', # 0x54
'Mu ', # 0x55
'Guo ', # 0x56
'Chi ', # 0x57
'Can ', # 0x58
'Can ', # 0x59
'Can ', # 0x5a
'Cui ', # 0x5b
'Min ', # 0x5c
'Te ', # 0x5d
'Zhang ', # 0x5e
'Tong ', # 0x5f
'Ao ', # 0x60
'Shuang ', # 0x61
'Man ', # 0x62
'Guan ', # 0x63
'Que ', # 0x64
'Zao ', # 0x65
'Jiu ', # 0x66
'Hui ', # 0x67
'Kai ', # 0x68
'Lian ', # 0x69
'Ou ', # 0x6a
'Song ', # 0x6b
'Jin ', # 0x6c
'Yin ', # 0x6d
'Lu ', # 0x6e
'Shang ', # 0x6f
'Wei ', # 0x70
'Tuan ', # 0x71
'Man ', # 0x72
'Qian ', # 0x73
'She ', # 0x74
'Yong ', # 0x75
'Qing ', # 0x76
'Kang ', # 0x77
'Di ', # 0x78
'Zhi ', # 0x79
'Lou ', # 0x7a
'Juan ', # 0x7b
'Qi ', # 0x7c
'Qi ', # 0x7d
'Yu ', # 0x7e
'Ping ', # 0x7f
'Liao ', # 0x80
'Cong ', # 0x81
'You ', # 0x82
'Chong ', # 0x83
'Zhi ', # 0x84
'Tong ', # 0x85
'Cheng ', # 0x86
'Qi ', # 0x87
'Qu ', # 0x88
'Peng ', # 0x89
'Bei ', # 0x8a
'Bie ', # 0x8b
'Chun ', # 0x8c
'Jiao ', # 0x8d
'Zeng ', # 0x8e
'Chi ', # 0x8f
'Lian ', # 0x90
'Ping ', # 0x91
'Kui ', # 0x92
'Hui ', # 0x93
'Qiao ', # 0x94
'Cheng ', # 0x95
'Yin ', # 0x96
'Yin ', # 0x97
'Xi ', # 0x98
'Xi ', # 0x99
'Dan ', # 0x9a
'Tan ', # 0x9b
'Duo ', # 0x9c
'Dui ', # 0x9d
'Dui ', # 0x9e
'Su ', # 0x9f
'Jue ', # 0xa0
'Ce ', # 0xa1
'Xiao ', # 0xa2
'Fan ', # 0xa3
'Fen ', # 0xa4
'Lao ', # 0xa5
'Lao ', # 0xa6
'Chong ', # 0xa7
'Han ', # 0xa8
'Qi ', # 0xa9
'Xian ', # 0xaa
'Min ', # 0xab
'Jing ', # 0xac
'Liao ', # 0xad
'Wu ', # 0xae
'Can ', # 0xaf
'Jue ', # 0xb0
'Cu ', # 0xb1
'Xian ', # 0xb2
'Tan ', # 0xb3
'Sheng ', # 0xb4
'Pi ', # 0xb5
'Yi ', # 0xb6
'Chu ', # 0xb7
'Xian ', # 0xb8
'Nao ', # 0xb9
'Dan ', # 0xba
'Tan ', # 0xbb
'Jing ', # 0xbc
'Song ', # 0xbd
'Han ', # 0xbe
'Jiao ', # 0xbf
'Wai ', # 0xc0
'Huan ', # 0xc1
'Dong ', # 0xc2
'Qin ', # 0xc3
'Qin ', # 0xc4
'Qu ', # 0xc5
'Cao ', # 0xc6
'Ken ', # 0xc7
'Xie ', # 0xc8
'Ying ', # 0xc9
'Ao ', # 0xca
'Mao ', # 0xcb
'Yi ', # 0xcc
'Lin ', # 0xcd
'Se ', # 0xce
'Jun ', # 0xcf
'Huai ', # 0xd0
'Men ', # 0xd1
'Lan ', # 0xd2
'Ai ', # 0xd3
'Lin ', # 0xd4
'Yan ', # 0xd5
'Gua ', # 0xd6
'Xia ', # 0xd7
'Chi ', # 0xd8
'Yu ', # 0xd9
'Yin ', # 0xda
'Dai ', # 0xdb
'Meng ', # 0xdc
'Ai ', # 0xdd
'Meng ', # 0xde
'Dui ', # 0xdf
'Qi ', # 0xe0
'Mo ', # 0xe1
'Lan ', # 0xe2
'Men ', # 0xe3
'Chou ', # 0xe4
'Zhi ', # 0xe5
'Nuo ', # 0xe6
'Nuo ', # 0xe7
'Yan ', # 0xe8
'Yang ', # 0xe9
'Bo ', # 0xea
'Zhi ', # 0xeb
'Kuang ', # 0xec
'Kuang ', # 0xed
'You ', # 0xee
'Fu ', # 0xef
'Liu ', # 0xf0
'Mie ', # 0xf1
'Cheng ', # 0xf2
'[?] ', # 0xf3
'Chan ', # 0xf4
'Meng ', # 0xf5
'Lan ', # 0xf6
'Huai ', # 0xf7
'Xuan ', # 0xf8
'Rang ', # 0xf9
'Chan ', # 0xfa
'Ji ', # 0xfb
'Ju ', # 0xfc
'Huan ', # 0xfd
'She ', # 0xfe
'Yi ', # 0xff
)
x062 = (
'Lian ', # 0x00
'Nan ', # 0x01
'Mi ', # 0x02
'Tang ', # 0x03
'Jue ', # 0x04
'Gang ', # 0x05
'Gang ', # 0x06
'Gang ', # 0x07
'Ge ', # 0x08
'Yue ', # 0x09
'Wu ', # 0x0a
'Jian ', # 0x0b
'Xu ', # 0x0c
'Shu ', # 0x0d
'Rong ', # 0x0e
'Xi ', # 0x0f
'Cheng ', # 0x10
'Wo ', # 0x11
'Jie ', # 0x12
'Ge ', # 0x13
'Jian ', # 0x14
'Qiang ', # 0x15
'Huo ', # 0x16
'Qiang ', # 0x17
'Zhan ', # 0x18
'Dong ', # 0x19
'Qi ', # 0x1a
'Jia ', # 0x1b
'Die ', # 0x1c
'Zei ', # 0x1d
'Jia ', # 0x1e
'Ji ', # 0x1f
'Shi ', # 0x20
'Kan ', # 0x21
'Ji ', # 0x22
'Kui ', # 0x23
'Gai ', # 0x24
'Deng ', # 0x25
'Zhan ', # 0x26
'Chuang ', # 0x27
'Ge ', # 0x28
'Jian ', # 0x29
'Jie ', # 0x2a
'Yu ', # 0x2b
'Jian ', # 0x2c
'Yan ', # 0x2d
'Lu ', # 0x2e
'Xi ', # 0x2f
'Zhan ', # 0x30
'Xi ', # 0x31
'Xi ', # 0x32
'Chuo ', # 0x33
'Dai ', # 0x34
'Qu ', # 0x35
'Hu ', # 0x36
'Hu ', # 0x37
'Hu ', # 0x38
'E ', # 0x39
'Shi ', # 0x3a
'Li ', # 0x3b
'Mao ', # 0x3c
'Hu ', # 0x3d
'Li ', # 0x3e
'Fang ', # 0x3f
'Suo ', # 0x40
'Bian ', # 0x41
'Dian ', # 0x42
'Jiong ', # 0x43
'Shang ', # 0x44
'Yi ', # 0x45
'Yi ', # 0x46
'Shan ', # 0x47
'Hu ', # 0x48
'Fei ', # 0x49
'Yan ', # 0x4a
'Shou ', # 0x4b
'T ', # 0x4c
'Cai ', # 0x4d
'Zha ', # 0x4e
'Qiu ', # 0x4f
'Le ', # 0x50
'Bu ', # 0x51
'Ba ', # 0x52
'Da ', # 0x53
'Reng ', # 0x54
'Fu ', # 0x55
'Hameru ', # 0x56
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'Tuo ', # 0x58
'Zhang ', # 0x59
'Diao ', # 0x5a
'Kang ', # 0x5b
'Yu ', # 0x5c
'Ku ', # 0x5d
'Han ', # 0x5e
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'Cha ', # 0x60
'Yi ', # 0x61
'Gu ', # 0x62
'Kou ', # 0x63
'Wu ', # 0x64
'Tuo ', # 0x65
'Qian ', # 0x66
'Zhi ', # 0x67
'Ren ', # 0x68
'Kuo ', # 0x69
'Men ', # 0x6a
'Sao ', # 0x6b
'Yang ', # 0x6c
'Niu ', # 0x6d
'Ban ', # 0x6e
'Che ', # 0x6f
'Rao ', # 0x70
'Xi ', # 0x71
'Qian ', # 0x72
'Ban ', # 0x73
'Jia ', # 0x74
'Yu ', # 0x75
'Fu ', # 0x76
'Ao ', # 0x77
'Xi ', # 0x78
'Pi ', # 0x79
'Zhi ', # 0x7a
'Zi ', # 0x7b
'E ', # 0x7c
'Dun ', # 0x7d
'Zhao ', # 0x7e
'Cheng ', # 0x7f
'Ji ', # 0x80
'Yan ', # 0x81
'Kuang ', # 0x82
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'Chao ', # 0x84
'Ju ', # 0x85
'Wen ', # 0x86
'Hu ', # 0x87
'Yue ', # 0x88
'Jue ', # 0x89
'Ba ', # 0x8a
'Qin ', # 0x8b
'Zhen ', # 0x8c
'Zheng ', # 0x8d
'Yun ', # 0x8e
'Wan ', # 0x8f
'Nu ', # 0x90
'Yi ', # 0x91
'Shu ', # 0x92
'Zhua ', # 0x93
'Pou ', # 0x94
'Tou ', # 0x95
'Dou ', # 0x96
'Kang ', # 0x97
'Zhe ', # 0x98
'Pou ', # 0x99
'Fu ', # 0x9a
'Pao ', # 0x9b
'Ba ', # 0x9c
'Ao ', # 0x9d
'Ze ', # 0x9e
'Tuan ', # 0x9f
'Kou ', # 0xa0
'Lun ', # 0xa1
'Qiang ', # 0xa2
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'Bao ', # 0xa5
'Bing ', # 0xa6
'Zhi ', # 0xa7
'Peng ', # 0xa8
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'Pu ', # 0xaa
'Pi ', # 0xab
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'Yao ', # 0xad
'Zhen ', # 0xae
'Zha ', # 0xaf
'Yang ', # 0xb0
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'He ', # 0xb2
'Ni ', # 0xb3
'Yi ', # 0xb4
'Di ', # 0xb5
'Chi ', # 0xb6
'Pi ', # 0xb7
'Za ', # 0xb8
'Mo ', # 0xb9
'Mo ', # 0xba
'Shen ', # 0xbb
'Ya ', # 0xbc
'Chou ', # 0xbd
'Qu ', # 0xbe
'Min ', # 0xbf
'Chu ', # 0xc0
'Jia ', # 0xc1
'Fu ', # 0xc2
'Zhan ', # 0xc3
'Zhu ', # 0xc4
'Dan ', # 0xc5
'Chai ', # 0xc6
'Mu ', # 0xc7
'Nian ', # 0xc8
'La ', # 0xc9
'Fu ', # 0xca
'Pao ', # 0xcb
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'Ling ', # 0xce
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'Guai ', # 0xd0
'Qian ', # 0xd1
'Ju ', # 0xd2
'Tuo ', # 0xd3
'Ba ', # 0xd4
'Tuo ', # 0xd5
'Tuo ', # 0xd6
'Ao ', # 0xd7
'Ju ', # 0xd8
'Zhuo ', # 0xd9
'Pan ', # 0xda
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'Bai ', # 0xdc
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'Di ', # 0xde
'Ni ', # 0xdf
'Ju ', # 0xe0
'Kuo ', # 0xe1
'Long ', # 0xe2
'Jian ', # 0xe3
'[?] ', # 0xe4
'Yong ', # 0xe5
'Lan ', # 0xe6
'Ning ', # 0xe7
'Bo ', # 0xe8
'Ze ', # 0xe9
'Qian ', # 0xea
'Hen ', # 0xeb
'Gua ', # 0xec
'Shi ', # 0xed
'Jie ', # 0xee
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'Nin ', # 0xf0
'Gong ', # 0xf1
'Gong ', # 0xf2
'Quan ', # 0xf3
'Shuan ', # 0xf4
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'Chi ', # 0xf8
'Xie ', # 0xf9
'Ce ', # 0xfa
'Hui ', # 0xfb
'Pin ', # 0xfc
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'An ', # 0x09
'Nong ', # 0x0a
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'Jiao ', # 0x0d
'Ku ', # 0x0e
'Dong ', # 0x0f
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'Zhua ', # 0x1d
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'Ti ', # 0x2e
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'Ting ', # 0x3a
'Shan ', # 0x3b
'Nuo ', # 0x3c
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'Le ', # 0x4b
'Ba ', # 0x4c
'Han ', # 0x4d
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'Ze ', # 0x51
'Song ', # 0x52
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'Zhai ', # 0x5a
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'Lao ', # 0x5e
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'Lie ', # 0x69
'Min ', # 0x6a
'Men ', # 0x6b
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'Ai ', # 0x71
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'Chen ', # 0x75
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'Tu ', # 0x78
'Ben ', # 0x79
'Na ', # 0x7a
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'Zu ', # 0x7d
'Wo ', # 0x7e
'Xi ', # 0x7f
'Xian ', # 0x80
'Cheng ', # 0x81
'Dian ', # 0x82
'Sao ', # 0x83
'Lun ', # 0x84
'Qing ', # 0x85
'Gang ', # 0x86
'Duo ', # 0x87
'Shou ', # 0x88
'Diao ', # 0x89
'Pou ', # 0x8a
'Di ', # 0x8b
'Zhang ', # 0x8c
'Gun ', # 0x8d
'Ji ', # 0x8e
'Tao ', # 0x8f
'Qia ', # 0x90
'Qi ', # 0x91
'Pai ', # 0x92
'Shu ', # 0x93
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'Ling ', # 0x95
'Yi ', # 0x96
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'Jue ', # 0x98
'Zheng ', # 0x99
'Liang ', # 0x9a
'Gua ', # 0x9b
'Yi ', # 0x9c
'Huo ', # 0x9d
'Shan ', # 0x9e
'Zheng ', # 0x9f
'Lue ', # 0xa0
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'Che ', # 0xa3
'Bing ', # 0xa4
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'Ti ', # 0xa6
'Kong ', # 0xa7
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'Yan ', # 0xa9
'Cuo ', # 0xaa
'Zou ', # 0xab
'Ju ', # 0xac
'Tian ', # 0xad
'Qian ', # 0xae
'Ken ', # 0xaf
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'Shou ', # 0xb1
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'Lu ', # 0xb3
'Guo ', # 0xb4
'Haba ', # 0xb5
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'Xian ', # 0xba
'Sao ', # 0xbb
'Guan ', # 0xbc
'Peng ', # 0xbd
'Yuan ', # 0xbe
'Nuo ', # 0xbf
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'Jiu ', # 0xc2
'Jian ', # 0xc3
'Yu ', # 0xc4
'Yan ', # 0xc5
'Kui ', # 0xc6
'Nan ', # 0xc7
'Hong ', # 0xc8
'Rou ', # 0xc9
'Pi ', # 0xca
'Wei ', # 0xcb
'Sai ', # 0xcc
'Zou ', # 0xcd
'Xuan ', # 0xce
'Miao ', # 0xcf
'Ti ', # 0xd0
'Nie ', # 0xd1
'Cha ', # 0xd2
'Shi ', # 0xd3
'Zong ', # 0xd4
'Zhen ', # 0xd5
'Yi ', # 0xd6
'Shun ', # 0xd7
'Heng ', # 0xd8
'Bian ', # 0xd9
'Yang ', # 0xda
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'Yan ', # 0xdc
'Zuan ', # 0xdd
'An ', # 0xde
'Xu ', # 0xdf
'Ya ', # 0xe0
'Wo ', # 0xe1
'Ke ', # 0xe2
'Chuai ', # 0xe3
'Ji ', # 0xe4
'Ti ', # 0xe5
'La ', # 0xe6
'La ', # 0xe7
'Cheng ', # 0xe8
'Kai ', # 0xe9
'Jiu ', # 0xea
'Jiu ', # 0xeb
'Tu ', # 0xec
'Jie ', # 0xed
'Hui ', # 0xee
'Geng ', # 0xef
'Chong ', # 0xf0
'Shuo ', # 0xf1
'She ', # 0xf2
'Xie ', # 0xf3
'Yuan ', # 0xf4
'Qian ', # 0xf5
'Ye ', # 0xf6
'Cha ', # 0xf7
'Zha ', # 0xf8
'Bei ', # 0xf9
'Yao ', # 0xfa
'[?] ', # 0xfb
'[?] ', # 0xfc
'Lan ', # 0xfd
'Wen ', # 0xfe
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x064 = (
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'Lou ', # 0x02
'Zong ', # 0x03
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'Jiao ', # 0x05
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'Yong ', # 0x08
'Que ', # 0x09
'Chou ', # 0x0a
'Chi ', # 0x0b
'Zhan ', # 0x0c
'Sun ', # 0x0d
'Sun ', # 0x0e
'Bo ', # 0x0f
'Chu ', # 0x10
'Rong ', # 0x11
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'Sao ', # 0x14
'Ke ', # 0x15
'Yao ', # 0x16
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'Zhi ', # 0x18
'Nu ', # 0x19
'Xie ', # 0x1a
'Jian ', # 0x1b
'Sou ', # 0x1c
'Qiu ', # 0x1d
'Gao ', # 0x1e
'Xian ', # 0x1f
'Shuo ', # 0x20
'Sang ', # 0x21
'Jin ', # 0x22
'Mie ', # 0x23
'E ', # 0x24
'Chui ', # 0x25
'Nuo ', # 0x26
'Shan ', # 0x27
'Ta ', # 0x28
'Jie ', # 0x29
'Tang ', # 0x2a
'Pan ', # 0x2b
'Ban ', # 0x2c
'Da ', # 0x2d
'Li ', # 0x2e
'Tao ', # 0x2f
'Hu ', # 0x30
'Zhi ', # 0x31
'Wa ', # 0x32
'Xia ', # 0x33
'Qian ', # 0x34
'Wen ', # 0x35
'Qiang ', # 0x36
'Tian ', # 0x37
'Zhen ', # 0x38
'E ', # 0x39
'Xi ', # 0x3a
'Nuo ', # 0x3b
'Quan ', # 0x3c
'Cha ', # 0x3d
'Zha ', # 0x3e
'Ge ', # 0x3f
'Wu ', # 0x40
'En ', # 0x41
'She ', # 0x42
'Kang ', # 0x43
'She ', # 0x44
'Shu ', # 0x45
'Bai ', # 0x46
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'Chan ', # 0x4c
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'Liao ', # 0x4e
'Chong ', # 0x4f
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'Bing ', # 0x52
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'Chi ', # 0x5b
'Guan ', # 0x5c
'Lu ', # 0x5d
'Luo ', # 0x5e
'Lou ', # 0x5f
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'Gai ', # 0x61
'Hu ', # 0x62
'Zha ', # 0x63
'Chuang ', # 0x64
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'Hua ', # 0x66
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'Mo ', # 0x69
'Jiang ', # 0x6a
'Gui ', # 0x6b
'Ying ', # 0x6c
'Zhi ', # 0x6d
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'Man ', # 0x71
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'Mo ', # 0x78
'Mo ', # 0x79
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'Xian ', # 0x7b
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'Piao ', # 0x7d
'Jiang ', # 0x7e
'Yin ', # 0x7f
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'Ji ', # 0x83
'Ying ', # 0x84
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'Pie ', # 0x86
'Pie ', # 0x87
'Lao ', # 0x88
'Dun ', # 0x89
'Xian ', # 0x8a
'Ruan ', # 0x8b
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'Yi ', # 0x8e
'Xun ', # 0x8f
'Cheng ', # 0x90
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'Nao ', # 0x93
'Heng ', # 0x94
'Si ', # 0x95
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'Huang ', # 0x97
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'Zun ', # 0x99
'Nian ', # 0x9a
'Lin ', # 0x9b
'Zheng ', # 0x9c
'Hui ', # 0x9d
'Zhuang ', # 0x9e
'Jiao ', # 0x9f
'Ji ', # 0xa0
'Cao ', # 0xa1
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'Che ', # 0xa4
'Bo ', # 0xa5
'Che ', # 0xa6
'Jue ', # 0xa7
'Xiao ', # 0xa8
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'Ben ', # 0xaa
'Fu ', # 0xab
'Qiao ', # 0xac
'Bo ', # 0xad
'Cuo ', # 0xae
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'Zhuan ', # 0xb0
'Tuo ', # 0xb1
'Pu ', # 0xb2
'Qin ', # 0xb3
'Dun ', # 0xb4
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'Lu ', # 0xb8
'Jiao ', # 0xb9
'Cuan ', # 0xba
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'Han ', # 0xbc
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'Zhua ', # 0xbe
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'Yong ', # 0xc1
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'Kuo ', # 0xc3
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'Shan ', # 0xc5
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'Qing ', # 0xce
'Jing ', # 0xcf
'Huan ', # 0xd0
'Jie ', # 0xd1
'Qin ', # 0xd2
'Kuai ', # 0xd3
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'Xi ', # 0xd5
'Ge ', # 0xd6
'Pi ', # 0xd7
'Bo ', # 0xd8
'Ao ', # 0xd9
'Ju ', # 0xda
'Ye ', # 0xdb
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'Sou ', # 0xde
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'Tai ', # 0xe1
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'Dao ', # 0xe3
'Xing ', # 0xe4
'Lan ', # 0xe5
'Ca ', # 0xe6
'Ju ', # 0xe7
'Ye ', # 0xe8
'Ru ', # 0xe9
'Ye ', # 0xea
'Ye ', # 0xeb
'Ni ', # 0xec
'Hu ', # 0xed
'Ji ', # 0xee
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'Mo ', # 0xf5
'Jian ', # 0xf6
'Xie ', # 0xf7
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'Bai ', # 0xfa
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'Lu ', # 0xfc
'Lue ', # 0xfd
'Rao ', # 0xfe
'Zhi ', # 0xff
)
x065 = (
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'Li ', # 0x0a
'La ', # 0x0b
'Han ', # 0x0c
'Ying ', # 0x0d
'Lu ', # 0x0e
'Long ', # 0x0f
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'Qian ', # 0x11
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'Lan ', # 0x14
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'Ying ', # 0x16
'Mei ', # 0x17
'Rang ', # 0x18
'Chan ', # 0x19
'[?] ', # 0x1a
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'She ', # 0x1d
'Luo ', # 0x1e
'Jun ', # 0x1f
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'Wa ', # 0x28
'Dang ', # 0x29
'Jiao ', # 0x2a
'Jue ', # 0x2b
'Lan ', # 0x2c
'Li ', # 0x2d
'Nang ', # 0x2e
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'Gui ', # 0x30
'Gui ', # 0x31
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'Xin ', # 0x33
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'You ', # 0x38
'Gai ', # 0x39
'Yi ', # 0x3a
'Gong ', # 0x3b
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'Ban ', # 0x3d
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'Qi ', # 0x89
'Qi ', # 0x8a
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'Jia ', # 0x9a
'Hu ', # 0x9b
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'Jia ', # 0x9d
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'Sen ', # 0x2e
'Duo ', # 0x2f
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'Yan ', # 0x3c
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'La ', # 0x4b
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'Si ', # 0x52
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'Mu ', # 0x58
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'Hu ', # 0x5b
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'Xuan ', # 0x66
'Ying ', # 0x67
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'Jie ', # 0x6c
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'Le ', # 0x7d
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'Mi ', # 0x93
'Lang ', # 0x94
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'Gu ', # 0x96
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'Huang ', # 0xa5
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'Ma ', # 0xaa
'Sun ', # 0xab
'Yuan ', # 0xac
'Xie ', # 0xad
'Rong ', # 0xae
'Shi ', # 0xaf
'Zhi ', # 0xb0
'Cui ', # 0xb1
'Yun ', # 0xb2
'Ting ', # 0xb3
'Liu ', # 0xb4
'Rong ', # 0xb5
'Tang ', # 0xb6
'Que ', # 0xb7
'Zhai ', # 0xb8
'Si ', # 0xb9
'Sheng ', # 0xba
'Ta ', # 0xbb
'Ke ', # 0xbc
'Xi ', # 0xbd
'Gu ', # 0xbe
'Qi ', # 0xbf
'Kao ', # 0xc0
'Gao ', # 0xc1
'Sun ', # 0xc2
'Pan ', # 0xc3
'Tao ', # 0xc4
'Ge ', # 0xc5
'Xun ', # 0xc6
'Dian ', # 0xc7
'Nou ', # 0xc8
'Ji ', # 0xc9
'Shuo ', # 0xca
'Gou ', # 0xcb
'Chui ', # 0xcc
'Qiang ', # 0xcd
'Cha ', # 0xce
'Qian ', # 0xcf
'Huai ', # 0xd0
'Mei ', # 0xd1
'Xu ', # 0xd2
'Gang ', # 0xd3
'Gao ', # 0xd4
'Zhuo ', # 0xd5
'Tuo ', # 0xd6
'Hashi ', # 0xd7
'Yang ', # 0xd8
'Dian ', # 0xd9
'Jia ', # 0xda
'Jian ', # 0xdb
'Zui ', # 0xdc
'Kashi ', # 0xdd
'Ori ', # 0xde
'Bin ', # 0xdf
'Zhu ', # 0xe0
'[?] ', # 0xe1
'Xi ', # 0xe2
'Qi ', # 0xe3
'Lian ', # 0xe4
'Hui ', # 0xe5
'Yong ', # 0xe6
'Qian ', # 0xe7
'Guo ', # 0xe8
'Gai ', # 0xe9
'Gai ', # 0xea
'Tuan ', # 0xeb
'Hua ', # 0xec
'Cu ', # 0xed
'Sen ', # 0xee
'Cui ', # 0xef
'Beng ', # 0xf0
'You ', # 0xf1
'Hu ', # 0xf2
'Jiang ', # 0xf3
'Hu ', # 0xf4
'Huan ', # 0xf5
'Kui ', # 0xf6
'Yi ', # 0xf7
'Nie ', # 0xf8
'Gao ', # 0xf9
'Kang ', # 0xfa
'Gui ', # 0xfb
'Gui ', # 0xfc
'Cao ', # 0xfd
'Man ', # 0xfe
'Jin ', # 0xff
)
x06a = (
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'Zhuang ', # 0x01
'Le ', # 0x02
'Lang ', # 0x03
'Chen ', # 0x04
'Cong ', # 0x05
'Li ', # 0x06
'Xiu ', # 0x07
'Qing ', # 0x08
'Shuang ', # 0x09
'Fan ', # 0x0a
'Tong ', # 0x0b
'Guan ', # 0x0c
'Ji ', # 0x0d
'Suo ', # 0x0e
'Lei ', # 0x0f
'Lu ', # 0x10
'Liang ', # 0x11
'Mi ', # 0x12
'Lou ', # 0x13
'Chao ', # 0x14
'Su ', # 0x15
'Ke ', # 0x16
'Shu ', # 0x17
'Tang ', # 0x18
'Biao ', # 0x19
'Lu ', # 0x1a
'Jiu ', # 0x1b
'Shu ', # 0x1c
'Zha ', # 0x1d
'Shu ', # 0x1e
'Zhang ', # 0x1f
'Men ', # 0x20
'Mo ', # 0x21
'Niao ', # 0x22
'Yang ', # 0x23
'Tiao ', # 0x24
'Peng ', # 0x25
'Zhu ', # 0x26
'Sha ', # 0x27
'Xi ', # 0x28
'Quan ', # 0x29
'Heng ', # 0x2a
'Jian ', # 0x2b
'Cong ', # 0x2c
'[?] ', # 0x2d
'Hokuso ', # 0x2e
'Qiang ', # 0x2f
'Tara ', # 0x30
'Ying ', # 0x31
'Er ', # 0x32
'Xin ', # 0x33
'Zhi ', # 0x34
'Qiao ', # 0x35
'Zui ', # 0x36
'Cong ', # 0x37
'Pu ', # 0x38
'Shu ', # 0x39
'Hua ', # 0x3a
'Kui ', # 0x3b
'Zhen ', # 0x3c
'Zun ', # 0x3d
'Yue ', # 0x3e
'Zhan ', # 0x3f
'Xi ', # 0x40
'Xun ', # 0x41
'Dian ', # 0x42
'Fa ', # 0x43
'Gan ', # 0x44
'Mo ', # 0x45
'Wu ', # 0x46
'Qiao ', # 0x47
'Nao ', # 0x48
'Lin ', # 0x49
'Liu ', # 0x4a
'Qiao ', # 0x4b
'Xian ', # 0x4c
'Run ', # 0x4d
'Fan ', # 0x4e
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'Tuo ', # 0x50
'Lao ', # 0x51
'Yun ', # 0x52
'Shun ', # 0x53
'Tui ', # 0x54
'Cheng ', # 0x55
'Tang ', # 0x56
'Meng ', # 0x57
'Ju ', # 0x58
'Cheng ', # 0x59
'Su ', # 0x5a
'Jue ', # 0x5b
'Jue ', # 0x5c
'Tan ', # 0x5d
'Hui ', # 0x5e
'Ji ', # 0x5f
'Nuo ', # 0x60
'Xiang ', # 0x61
'Tuo ', # 0x62
'Ning ', # 0x63
'Rui ', # 0x64
'Zhu ', # 0x65
'Chuang ', # 0x66
'Zeng ', # 0x67
'Fen ', # 0x68
'Qiong ', # 0x69
'Ran ', # 0x6a
'Heng ', # 0x6b
'Cen ', # 0x6c
'Gu ', # 0x6d
'Liu ', # 0x6e
'Lao ', # 0x6f
'Gao ', # 0x70
'Chu ', # 0x71
'Zusa ', # 0x72
'Nude ', # 0x73
'Ca ', # 0x74
'San ', # 0x75
'Ji ', # 0x76
'Dou ', # 0x77
'Shou ', # 0x78
'Lu ', # 0x79
'[?] ', # 0x7a
'[?] ', # 0x7b
'Yuan ', # 0x7c
'Ta ', # 0x7d
'Shu ', # 0x7e
'Jiang ', # 0x7f
'Tan ', # 0x80
'Lin ', # 0x81
'Nong ', # 0x82
'Yin ', # 0x83
'Xi ', # 0x84
'Sui ', # 0x85
'Shan ', # 0x86
'Zui ', # 0x87
'Xuan ', # 0x88
'Cheng ', # 0x89
'Gan ', # 0x8a
'Ju ', # 0x8b
'Zui ', # 0x8c
'Yi ', # 0x8d
'Qin ', # 0x8e
'Pu ', # 0x8f
'Yan ', # 0x90
'Lei ', # 0x91
'Feng ', # 0x92
'Hui ', # 0x93
'Dang ', # 0x94
'Ji ', # 0x95
'Sui ', # 0x96
'Bo ', # 0x97
'Bi ', # 0x98
'Ding ', # 0x99
'Chu ', # 0x9a
'Zhua ', # 0x9b
'Kuai ', # 0x9c
'Ji ', # 0x9d
'Jie ', # 0x9e
'Jia ', # 0x9f
'Qing ', # 0xa0
'Zhe ', # 0xa1
'Jian ', # 0xa2
'Qiang ', # 0xa3
'Dao ', # 0xa4
'Yi ', # 0xa5
'Biao ', # 0xa6
'Song ', # 0xa7
'She ', # 0xa8
'Lin ', # 0xa9
'Kunugi ', # 0xaa
'Cha ', # 0xab
'Meng ', # 0xac
'Yin ', # 0xad
'Tao ', # 0xae
'Tai ', # 0xaf
'Mian ', # 0xb0
'Qi ', # 0xb1
'Toan ', # 0xb2
'Bin ', # 0xb3
'Huo ', # 0xb4
'Ji ', # 0xb5
'Qian ', # 0xb6
'Mi ', # 0xb7
'Ning ', # 0xb8
'Yi ', # 0xb9
'Gao ', # 0xba
'Jian ', # 0xbb
'Yin ', # 0xbc
'Er ', # 0xbd
'Qing ', # 0xbe
'Yan ', # 0xbf
'Qi ', # 0xc0
'Mi ', # 0xc1
'Zhao ', # 0xc2
'Gui ', # 0xc3
'Chun ', # 0xc4
'Ji ', # 0xc5
'Kui ', # 0xc6
'Po ', # 0xc7
'Deng ', # 0xc8
'Chu ', # 0xc9
'[?] ', # 0xca
'Mian ', # 0xcb
'You ', # 0xcc
'Zhi ', # 0xcd
'Guang ', # 0xce
'Qian ', # 0xcf
'Lei ', # 0xd0
'Lei ', # 0xd1
'Sa ', # 0xd2
'Lu ', # 0xd3
'Li ', # 0xd4
'Cuan ', # 0xd5
'Lu ', # 0xd6
'Mie ', # 0xd7
'Hui ', # 0xd8
'Ou ', # 0xd9
'Lu ', # 0xda
'Jie ', # 0xdb
'Gao ', # 0xdc
'Du ', # 0xdd
'Yuan ', # 0xde
'Li ', # 0xdf
'Fei ', # 0xe0
'Zhuo ', # 0xe1
'Sou ', # 0xe2
'Lian ', # 0xe3
'Tamo ', # 0xe4
'Chu ', # 0xe5
'[?] ', # 0xe6
'Zhu ', # 0xe7
'Lu ', # 0xe8
'Yan ', # 0xe9
'Li ', # 0xea
'Zhu ', # 0xeb
'Chen ', # 0xec
'Jie ', # 0xed
'E ', # 0xee
'Su ', # 0xef
'Huai ', # 0xf0
'Nie ', # 0xf1
'Yu ', # 0xf2
'Long ', # 0xf3
'Lai ', # 0xf4
'[?] ', # 0xf5
'Xian ', # 0xf6
'Kwi ', # 0xf7
'Ju ', # 0xf8
'Xiao ', # 0xf9
'Ling ', # 0xfa
'Ying ', # 0xfb
'Jian ', # 0xfc
'Yin ', # 0xfd
'You ', # 0xfe
'Ying ', # 0xff
)
x06b = (
'Xiang ', # 0x00
'Nong ', # 0x01
'Bo ', # 0x02
'Chan ', # 0x03
'Lan ', # 0x04
'Ju ', # 0x05
'Shuang ', # 0x06
'She ', # 0x07
'Wei ', # 0x08
'Cong ', # 0x09
'Quan ', # 0x0a
'Qu ', # 0x0b
'Cang ', # 0x0c
'[?] ', # 0x0d
'Yu ', # 0x0e
'Luo ', # 0x0f
'Li ', # 0x10
'Zan ', # 0x11
'Luan ', # 0x12
'Dang ', # 0x13
'Jue ', # 0x14
'Em ', # 0x15
'Lan ', # 0x16
'Lan ', # 0x17
'Zhu ', # 0x18
'Lei ', # 0x19
'Li ', # 0x1a
'Ba ', # 0x1b
'Nang ', # 0x1c
'Yu ', # 0x1d
'Ling ', # 0x1e
'Tsuki ', # 0x1f
'Qian ', # 0x20
'Ci ', # 0x21
'Huan ', # 0x22
'Xin ', # 0x23
'Yu ', # 0x24
'Yu ', # 0x25
'Qian ', # 0x26
'Ou ', # 0x27
'Xu ', # 0x28
'Chao ', # 0x29
'Chu ', # 0x2a
'Chi ', # 0x2b
'Kai ', # 0x2c
'Yi ', # 0x2d
'Jue ', # 0x2e
'Xi ', # 0x2f
'Xu ', # 0x30
'Xia ', # 0x31
'Yu ', # 0x32
'Kuai ', # 0x33
'Lang ', # 0x34
'Kuan ', # 0x35
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'Xi ', # 0x37
'Ai ', # 0x38
'Yi ', # 0x39
'Qi ', # 0x3a
'Hu ', # 0x3b
'Chi ', # 0x3c
'Qin ', # 0x3d
'Kuan ', # 0x3e
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'Kan ', # 0x41
'Chuan ', # 0x42
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'Gua ', # 0x44
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'Xiao ', # 0x57
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'Xi ', # 0x59
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'Huan ', # 0x61
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'Bu ', # 0x65
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'Bu ', # 0x69
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'Zhong ', # 0x71
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'Mo ', # 0x81
'Cu ', # 0x82
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'Xun ', # 0x89
'Shu ', # 0x8a
'Can ', # 0x8b
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'Piao ', # 0x8d
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'Qiu ', # 0x8f
'Su ', # 0x90
'Qing ', # 0x91
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'Lian ', # 0x93
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'Fou ', # 0x95
'Zhi ', # 0x96
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'Can ', # 0x98
'Hun ', # 0x99
'Dan ', # 0x9a
'Ji ', # 0x9b
'Ye ', # 0x9c
'Zhen ', # 0x9d
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'Chou ', # 0xa0
'Bin ', # 0xa1
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'Shang ', # 0xa4
'Yin ', # 0xa5
'Diao ', # 0xa6
'Cu ', # 0xa7
'Hui ', # 0xa8
'Cuan ', # 0xa9
'Yi ', # 0xaa
'Dan ', # 0xab
'Du ', # 0xac
'Jiang ', # 0xad
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'Bin ', # 0xaf
'Du ', # 0xb0
'Tsukusu ', # 0xb1
'Jian ', # 0xb2
'Shu ', # 0xb3
'Ou ', # 0xb4
'Duan ', # 0xb5
'Zhu ', # 0xb6
'Yin ', # 0xb7
'Qing ', # 0xb8
'Yi ', # 0xb9
'Sha ', # 0xba
'Que ', # 0xbb
'Ke ', # 0xbc
'Yao ', # 0xbd
'Jun ', # 0xbe
'Dian ', # 0xbf
'Hui ', # 0xc0
'Hui ', # 0xc1
'Gu ', # 0xc2
'Que ', # 0xc3
'Ji ', # 0xc4
'Yi ', # 0xc5
'Ou ', # 0xc6
'Hui ', # 0xc7
'Duan ', # 0xc8
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'Xiao ', # 0xca
'Wu ', # 0xcb
'Guan ', # 0xcc
'Mu ', # 0xcd
'Mei ', # 0xce
'Mei ', # 0xcf
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'Zuo ', # 0xd1
'Du ', # 0xd2
'Yu ', # 0xd3
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'Bi ', # 0xd5
'Bi ', # 0xd6
'Pi ', # 0xd7
'Pi ', # 0xd8
'Bi ', # 0xd9
'Chan ', # 0xda
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'[?] ', # 0xdc
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'Mushiru ', # 0xdf
'Jia ', # 0xe0
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'Mu ', # 0xe3
'Tuo ', # 0xe4
'Xun ', # 0xe5
'Er ', # 0xe6
'Rong ', # 0xe7
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'Ju ', # 0xe9
'Mu ', # 0xea
'Hao ', # 0xeb
'Qiu ', # 0xec
'Dou ', # 0xed
'Mushiru ', # 0xee
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'Pei ', # 0xf0
'Ju ', # 0xf1
'Duo ', # 0xf2
'Cui ', # 0xf3
'Bi ', # 0xf4
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'[?] ', # 0xf6
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'Sui ', # 0xf8
'Yu ', # 0xf9
'Yu ', # 0xfa
'Tuo ', # 0xfb
'He ', # 0xfc
'Jian ', # 0xfd
'Ta ', # 0xfe
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)
x06c = (
'Lu ', # 0x00
'Mu ', # 0x01
'Li ', # 0x02
'Tong ', # 0x03
'Rong ', # 0x04
'Chang ', # 0x05
'Pu ', # 0x06
'Luo ', # 0x07
'Zhan ', # 0x08
'Sao ', # 0x09
'Zhan ', # 0x0a
'Meng ', # 0x0b
'Luo ', # 0x0c
'Qu ', # 0x0d
'Die ', # 0x0e
'Shi ', # 0x0f
'Di ', # 0x10
'Min ', # 0x11
'Jue ', # 0x12
'Mang ', # 0x13
'Qi ', # 0x14
'Pie ', # 0x15
'Nai ', # 0x16
'Qi ', # 0x17
'Dao ', # 0x18
'Xian ', # 0x19
'Chuan ', # 0x1a
'Fen ', # 0x1b
'Ri ', # 0x1c
'Nei ', # 0x1d
'[?] ', # 0x1e
'Fu ', # 0x1f
'Shen ', # 0x20
'Dong ', # 0x21
'Qing ', # 0x22
'Qi ', # 0x23
'Yin ', # 0x24
'Xi ', # 0x25
'Hai ', # 0x26
'Yang ', # 0x27
'An ', # 0x28
'Ya ', # 0x29
'Ke ', # 0x2a
'Qing ', # 0x2b
'Ya ', # 0x2c
'Dong ', # 0x2d
'Dan ', # 0x2e
'Lu ', # 0x2f
'Qing ', # 0x30
'Yang ', # 0x31
'Yun ', # 0x32
'Yun ', # 0x33
'Shui ', # 0x34
'San ', # 0x35
'Zheng ', # 0x36
'Bing ', # 0x37
'Yong ', # 0x38
'Dang ', # 0x39
'Shitamizu ', # 0x3a
'Le ', # 0x3b
'Ni ', # 0x3c
'Tun ', # 0x3d
'Fan ', # 0x3e
'Gui ', # 0x3f
'Ting ', # 0x40
'Zhi ', # 0x41
'Qiu ', # 0x42
'Bin ', # 0x43
'Ze ', # 0x44
'Mian ', # 0x45
'Cuan ', # 0x46
'Hui ', # 0x47
'Diao ', # 0x48
'Yi ', # 0x49
'Cha ', # 0x4a
'Zhuo ', # 0x4b
'Chuan ', # 0x4c
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'Fan ', # 0x4e
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'Xi ', # 0x50
'Tuo ', # 0x51
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'Qiu ', # 0x53
'Qi ', # 0x54
'Shan ', # 0x55
'Pai ', # 0x56
'Han ', # 0x57
'Qian ', # 0x58
'Wu ', # 0x59
'Wu ', # 0x5a
'Xun ', # 0x5b
'Si ', # 0x5c
'Ru ', # 0x5d
'Gong ', # 0x5e
'Jiang ', # 0x5f
'Chi ', # 0x60
'Wu ', # 0x61
'Tsuchi ', # 0x62
'[?] ', # 0x63
'Tang ', # 0x64
'Zhi ', # 0x65
'Chi ', # 0x66
'Qian ', # 0x67
'Mi ', # 0x68
'Yu ', # 0x69
'Wang ', # 0x6a
'Qing ', # 0x6b
'Jing ', # 0x6c
'Rui ', # 0x6d
'Jun ', # 0x6e
'Hong ', # 0x6f
'Tai ', # 0x70
'Quan ', # 0x71
'Ji ', # 0x72
'Bian ', # 0x73
'Bian ', # 0x74
'Gan ', # 0x75
'Wen ', # 0x76
'Zhong ', # 0x77
'Fang ', # 0x78
'Xiong ', # 0x79
'Jue ', # 0x7a
'Hang ', # 0x7b
'Niou ', # 0x7c
'Qi ', # 0x7d
'Fen ', # 0x7e
'Xu ', # 0x7f
'Xu ', # 0x80
'Qin ', # 0x81
'Yi ', # 0x82
'Wo ', # 0x83
'Yun ', # 0x84
'Yuan ', # 0x85
'Hang ', # 0x86
'Yan ', # 0x87
'Chen ', # 0x88
'Chen ', # 0x89
'Dan ', # 0x8a
'You ', # 0x8b
'Dun ', # 0x8c
'Hu ', # 0x8d
'Huo ', # 0x8e
'Qie ', # 0x8f
'Mu ', # 0x90
'Rou ', # 0x91
'Mei ', # 0x92
'Ta ', # 0x93
'Mian ', # 0x94
'Wu ', # 0x95
'Chong ', # 0x96
'Tian ', # 0x97
'Bi ', # 0x98
'Sha ', # 0x99
'Zhi ', # 0x9a
'Pei ', # 0x9b
'Pan ', # 0x9c
'Zhui ', # 0x9d
'Za ', # 0x9e
'Gou ', # 0x9f
'Liu ', # 0xa0
'Mei ', # 0xa1
'Ze ', # 0xa2
'Feng ', # 0xa3
'Ou ', # 0xa4
'Li ', # 0xa5
'Lun ', # 0xa6
'Cang ', # 0xa7
'Feng ', # 0xa8
'Wei ', # 0xa9
'Hu ', # 0xaa
'Mo ', # 0xab
'Mei ', # 0xac
'Shu ', # 0xad
'Ju ', # 0xae
'Zan ', # 0xaf
'Tuo ', # 0xb0
'Tuo ', # 0xb1
'Tuo ', # 0xb2
'He ', # 0xb3
'Li ', # 0xb4
'Mi ', # 0xb5
'Yi ', # 0xb6
'Fa ', # 0xb7
'Fei ', # 0xb8
'You ', # 0xb9
'Tian ', # 0xba
'Zhi ', # 0xbb
'Zhao ', # 0xbc
'Gu ', # 0xbd
'Zhan ', # 0xbe
'Yan ', # 0xbf
'Si ', # 0xc0
'Kuang ', # 0xc1
'Jiong ', # 0xc2
'Ju ', # 0xc3
'Xie ', # 0xc4
'Qiu ', # 0xc5
'Yi ', # 0xc6
'Jia ', # 0xc7
'Zhong ', # 0xc8
'Quan ', # 0xc9
'Bo ', # 0xca
'Hui ', # 0xcb
'Mi ', # 0xcc
'Ben ', # 0xcd
'Zhuo ', # 0xce
'Chu ', # 0xcf
'Le ', # 0xd0
'You ', # 0xd1
'Gu ', # 0xd2
'Hong ', # 0xd3
'Gan ', # 0xd4
'Fa ', # 0xd5
'Mao ', # 0xd6
'Si ', # 0xd7
'Hu ', # 0xd8
'Ping ', # 0xd9
'Ci ', # 0xda
'Fan ', # 0xdb
'Chi ', # 0xdc
'Su ', # 0xdd
'Ning ', # 0xde
'Cheng ', # 0xdf
'Ling ', # 0xe0
'Pao ', # 0xe1
'Bo ', # 0xe2
'Qi ', # 0xe3
'Si ', # 0xe4
'Ni ', # 0xe5
'Ju ', # 0xe6
'Yue ', # 0xe7
'Zhu ', # 0xe8
'Sheng ', # 0xe9
'Lei ', # 0xea
'Xuan ', # 0xeb
'Xue ', # 0xec
'Fu ', # 0xed
'Pan ', # 0xee
'Min ', # 0xef
'Tai ', # 0xf0
'Yang ', # 0xf1
'Ji ', # 0xf2
'Yong ', # 0xf3
'Guan ', # 0xf4
'Beng ', # 0xf5
'Xue ', # 0xf6
'Long ', # 0xf7
'Lu ', # 0xf8
'[?] ', # 0xf9
'Bo ', # 0xfa
'Xie ', # 0xfb
'Po ', # 0xfc
'Ze ', # 0xfd
'Jing ', # 0xfe
'Yin ', # 0xff
)
x06d = (
'Zhou ', # 0x00
'Ji ', # 0x01
'Yi ', # 0x02
'Hui ', # 0x03
'Hui ', # 0x04
'Zui ', # 0x05
'Cheng ', # 0x06
'Yin ', # 0x07
'Wei ', # 0x08
'Hou ', # 0x09
'Jian ', # 0x0a
'Yang ', # 0x0b
'Lie ', # 0x0c
'Si ', # 0x0d
'Ji ', # 0x0e
'Er ', # 0x0f
'Xing ', # 0x10
'Fu ', # 0x11
'Sa ', # 0x12
'Suo ', # 0x13
'Zhi ', # 0x14
'Yin ', # 0x15
'Wu ', # 0x16
'Xi ', # 0x17
'Kao ', # 0x18
'Zhu ', # 0x19
'Jiang ', # 0x1a
'Luo ', # 0x1b
'[?] ', # 0x1c
'An ', # 0x1d
'Dong ', # 0x1e
'Yi ', # 0x1f
'Mou ', # 0x20
'Lei ', # 0x21
'Yi ', # 0x22
'Mi ', # 0x23
'Quan ', # 0x24
'Jin ', # 0x25
'Mo ', # 0x26
'Wei ', # 0x27
'Xiao ', # 0x28
'Xie ', # 0x29
'Hong ', # 0x2a
'Xu ', # 0x2b
'Shuo ', # 0x2c
'Kuang ', # 0x2d
'Tao ', # 0x2e
'Qie ', # 0x2f
'Ju ', # 0x30
'Er ', # 0x31
'Zhou ', # 0x32
'Ru ', # 0x33
'Ping ', # 0x34
'Xun ', # 0x35
'Xiong ', # 0x36
'Zhi ', # 0x37
'Guang ', # 0x38
'Huan ', # 0x39
'Ming ', # 0x3a
'Huo ', # 0x3b
'Wa ', # 0x3c
'Qia ', # 0x3d
'Pai ', # 0x3e
'Wu ', # 0x3f
'Qu ', # 0x40
'Liu ', # 0x41
'Yi ', # 0x42
'Jia ', # 0x43
'Jing ', # 0x44
'Qian ', # 0x45
'Jiang ', # 0x46
'Jiao ', # 0x47
'Cheng ', # 0x48
'Shi ', # 0x49
'Zhuo ', # 0x4a
'Ce ', # 0x4b
'Pal ', # 0x4c
'Kuai ', # 0x4d
'Ji ', # 0x4e
'Liu ', # 0x4f
'Chan ', # 0x50
'Hun ', # 0x51
'Hu ', # 0x52
'Nong ', # 0x53
'Xun ', # 0x54
'Jin ', # 0x55
'Lie ', # 0x56
'Qiu ', # 0x57
'Wei ', # 0x58
'Zhe ', # 0x59
'Jun ', # 0x5a
'Han ', # 0x5b
'Bang ', # 0x5c
'Mang ', # 0x5d
'Zhuo ', # 0x5e
'You ', # 0x5f
'Xi ', # 0x60
'Bo ', # 0x61
'Dou ', # 0x62
'Wan ', # 0x63
'Hong ', # 0x64
'Yi ', # 0x65
'Pu ', # 0x66
'Ying ', # 0x67
'Lan ', # 0x68
'Hao ', # 0x69
'Lang ', # 0x6a
'Han ', # 0x6b
'Li ', # 0x6c
'Geng ', # 0x6d
'Fu ', # 0x6e
'Wu ', # 0x6f
'Lian ', # 0x70
'Chun ', # 0x71
'Feng ', # 0x72
'Yi ', # 0x73
'Yu ', # 0x74
'Tong ', # 0x75
'Lao ', # 0x76
'Hai ', # 0x77
'Jin ', # 0x78
'Jia ', # 0x79
'Chong ', # 0x7a
'Weng ', # 0x7b
'Mei ', # 0x7c
'Sui ', # 0x7d
'Cheng ', # 0x7e
'Pei ', # 0x7f
'Xian ', # 0x80
'Shen ', # 0x81
'Tu ', # 0x82
'Kun ', # 0x83
'Pin ', # 0x84
'Nie ', # 0x85
'Han ', # 0x86
'Jing ', # 0x87
'Xiao ', # 0x88
'She ', # 0x89
'Nian ', # 0x8a
'Tu ', # 0x8b
'Yong ', # 0x8c
'Xiao ', # 0x8d
'Xian ', # 0x8e
'Ting ', # 0x8f
'E ', # 0x90
'Su ', # 0x91
'Tun ', # 0x92
'Juan ', # 0x93
'Cen ', # 0x94
'Ti ', # 0x95
'Li ', # 0x96
'Shui ', # 0x97
'Si ', # 0x98
'Lei ', # 0x99
'Shui ', # 0x9a
'Tao ', # 0x9b
'Du ', # 0x9c
'Lao ', # 0x9d
'Lai ', # 0x9e
'Lian ', # 0x9f
'Wei ', # 0xa0
'Wo ', # 0xa1
'Yun ', # 0xa2
'Huan ', # 0xa3
'Di ', # 0xa4
'[?] ', # 0xa5
'Run ', # 0xa6
'Jian ', # 0xa7
'Zhang ', # 0xa8
'Se ', # 0xa9
'Fu ', # 0xaa
'Guan ', # 0xab
'Xing ', # 0xac
'Shou ', # 0xad
'Shuan ', # 0xae
'Ya ', # 0xaf
'Chuo ', # 0xb0
'Zhang ', # 0xb1
'Ye ', # 0xb2
'Kong ', # 0xb3
'Wo ', # 0xb4
'Han ', # 0xb5
'Tuo ', # 0xb6
'Dong ', # 0xb7
'He ', # 0xb8
'Wo ', # 0xb9
'Ju ', # 0xba
'Gan ', # 0xbb
'Liang ', # 0xbc
'Hun ', # 0xbd
'Ta ', # 0xbe
'Zhuo ', # 0xbf
'Dian ', # 0xc0
'Qie ', # 0xc1
'De ', # 0xc2
'Juan ', # 0xc3
'Zi ', # 0xc4
'Xi ', # 0xc5
'Yao ', # 0xc6
'Qi ', # 0xc7
'Gu ', # 0xc8
'Guo ', # 0xc9
'Han ', # 0xca
'Lin ', # 0xcb
'Tang ', # 0xcc
'Zhou ', # 0xcd
'Peng ', # 0xce
'Hao ', # 0xcf
'Chang ', # 0xd0
'Shu ', # 0xd1
'Qi ', # 0xd2
'Fang ', # 0xd3
'Chi ', # 0xd4
'Lu ', # 0xd5
'Nao ', # 0xd6
'Ju ', # 0xd7
'Tao ', # 0xd8
'Cong ', # 0xd9
'Lei ', # 0xda
'Zhi ', # 0xdb
'Peng ', # 0xdc
'Fei ', # 0xdd
'Song ', # 0xde
'Tian ', # 0xdf
'Pi ', # 0xe0
'Dan ', # 0xe1
'Yu ', # 0xe2
'Ni ', # 0xe3
'Yu ', # 0xe4
'Lu ', # 0xe5
'Gan ', # 0xe6
'Mi ', # 0xe7
'Jing ', # 0xe8
'Ling ', # 0xe9
'Lun ', # 0xea
'Yin ', # 0xeb
'Cui ', # 0xec
'Qu ', # 0xed
'Huai ', # 0xee
'Yu ', # 0xef
'Nian ', # 0xf0
'Shen ', # 0xf1
'Piao ', # 0xf2
'Chun ', # 0xf3
'Wa ', # 0xf4
'Yuan ', # 0xf5
'Lai ', # 0xf6
'Hun ', # 0xf7
'Qing ', # 0xf8
'Yan ', # 0xf9
'Qian ', # 0xfa
'Tian ', # 0xfb
'Miao ', # 0xfc
'Zhi ', # 0xfd
'Yin ', # 0xfe
'Mi ', # 0xff
)
x06e = (
'Ben ', # 0x00
'Yuan ', # 0x01
'Wen ', # 0x02
'Re ', # 0x03
'Fei ', # 0x04
'Qing ', # 0x05
'Yuan ', # 0x06
'Ke ', # 0x07
'Ji ', # 0x08
'She ', # 0x09
'Yuan ', # 0x0a
'Shibui ', # 0x0b
'Lu ', # 0x0c
'Zi ', # 0x0d
'Du ', # 0x0e
'[?] ', # 0x0f
'Jian ', # 0x10
'Min ', # 0x11
'Pi ', # 0x12
'Tani ', # 0x13
'Yu ', # 0x14
'Yuan ', # 0x15
'Shen ', # 0x16
'Shen ', # 0x17
'Rou ', # 0x18
'Huan ', # 0x19
'Zhu ', # 0x1a
'Jian ', # 0x1b
'Nuan ', # 0x1c
'Yu ', # 0x1d
'Qiu ', # 0x1e
'Ting ', # 0x1f
'Qu ', # 0x20
'Du ', # 0x21
'Feng ', # 0x22
'Zha ', # 0x23
'Bo ', # 0x24
'Wo ', # 0x25
'Wo ', # 0x26
'Di ', # 0x27
'Wei ', # 0x28
'Wen ', # 0x29
'Ru ', # 0x2a
'Xie ', # 0x2b
'Ce ', # 0x2c
'Wei ', # 0x2d
'Ge ', # 0x2e
'Gang ', # 0x2f
'Yan ', # 0x30
'Hong ', # 0x31
'Xuan ', # 0x32
'Mi ', # 0x33
'Ke ', # 0x34
'Mao ', # 0x35
'Ying ', # 0x36
'Yan ', # 0x37
'You ', # 0x38
'Hong ', # 0x39
'Miao ', # 0x3a
'Xing ', # 0x3b
'Mei ', # 0x3c
'Zai ', # 0x3d
'Hun ', # 0x3e
'Nai ', # 0x3f
'Kui ', # 0x40
'Shi ', # 0x41
'E ', # 0x42
'Pai ', # 0x43
'Mei ', # 0x44
'Lian ', # 0x45
'Qi ', # 0x46
'Qi ', # 0x47
'Mei ', # 0x48
'Tian ', # 0x49
'Cou ', # 0x4a
'Wei ', # 0x4b
'Can ', # 0x4c
'Tuan ', # 0x4d
'Mian ', # 0x4e
'Hui ', # 0x4f
'Mo ', # 0x50
'Xu ', # 0x51
'Ji ', # 0x52
'Pen ', # 0x53
'Jian ', # 0x54
'Jian ', # 0x55
'Hu ', # 0x56
'Feng ', # 0x57
'Xiang ', # 0x58
'Yi ', # 0x59
'Yin ', # 0x5a
'Zhan ', # 0x5b
'Shi ', # 0x5c
'Jie ', # 0x5d
'Cheng ', # 0x5e
'Huang ', # 0x5f
'Tan ', # 0x60
'Yu ', # 0x61
'Bi ', # 0x62
'Min ', # 0x63
'Shi ', # 0x64
'Tu ', # 0x65
'Sheng ', # 0x66
'Yong ', # 0x67
'Qu ', # 0x68
'Zhong ', # 0x69
'Suei ', # 0x6a
'Jiu ', # 0x6b
'Jiao ', # 0x6c
'Qiou ', # 0x6d
'Yin ', # 0x6e
'Tang ', # 0x6f
'Long ', # 0x70
'Huo ', # 0x71
'Yuan ', # 0x72
'Nan ', # 0x73
'Ban ', # 0x74
'You ', # 0x75
'Quan ', # 0x76
'Chui ', # 0x77
'Liang ', # 0x78
'Chan ', # 0x79
'Yan ', # 0x7a
'Chun ', # 0x7b
'Nie ', # 0x7c
'Zi ', # 0x7d
'Wan ', # 0x7e
'Shi ', # 0x7f
'Man ', # 0x80
'Ying ', # 0x81
'Ratsu ', # 0x82
'Kui ', # 0x83
'[?] ', # 0x84
'Jian ', # 0x85
'Xu ', # 0x86
'Lu ', # 0x87
'Gui ', # 0x88
'Gai ', # 0x89
'[?] ', # 0x8a
'[?] ', # 0x8b
'Po ', # 0x8c
'Jin ', # 0x8d
'Gui ', # 0x8e
'Tang ', # 0x8f
'Yuan ', # 0x90
'Suo ', # 0x91
'Yuan ', # 0x92
'Lian ', # 0x93
'Yao ', # 0x94
'Meng ', # 0x95
'Zhun ', # 0x96
'Sheng ', # 0x97
'Ke ', # 0x98
'Tai ', # 0x99
'Da ', # 0x9a
'Wa ', # 0x9b
'Liu ', # 0x9c
'Gou ', # 0x9d
'Sao ', # 0x9e
'Ming ', # 0x9f
'Zha ', # 0xa0
'Shi ', # 0xa1
'Yi ', # 0xa2
'Lun ', # 0xa3
'Ma ', # 0xa4
'Pu ', # 0xa5
'Wei ', # 0xa6
'Li ', # 0xa7
'Cai ', # 0xa8
'Wu ', # 0xa9
'Xi ', # 0xaa
'Wen ', # 0xab
'Qiang ', # 0xac
'Ze ', # 0xad
'Shi ', # 0xae
'Su ', # 0xaf
'Yi ', # 0xb0
'Zhen ', # 0xb1
'Sou ', # 0xb2
'Yun ', # 0xb3
'Xiu ', # 0xb4
'Yin ', # 0xb5
'Rong ', # 0xb6
'Hun ', # 0xb7
'Su ', # 0xb8
'Su ', # 0xb9
'Ni ', # 0xba
'Ta ', # 0xbb
'Shi ', # 0xbc
'Ru ', # 0xbd
'Wei ', # 0xbe
'Pan ', # 0xbf
'Chu ', # 0xc0
'Chu ', # 0xc1
'Pang ', # 0xc2
'Weng ', # 0xc3
'Cang ', # 0xc4
'Mie ', # 0xc5
'He ', # 0xc6
'Dian ', # 0xc7
'Hao ', # 0xc8
'Huang ', # 0xc9
'Xi ', # 0xca
'Zi ', # 0xcb
'Di ', # 0xcc
'Zhi ', # 0xcd
'Ying ', # 0xce
'Fu ', # 0xcf
'Jie ', # 0xd0
'Hua ', # 0xd1
'Ge ', # 0xd2
'Zi ', # 0xd3
'Tao ', # 0xd4
'Teng ', # 0xd5
'Sui ', # 0xd6
'Bi ', # 0xd7
'Jiao ', # 0xd8
'Hui ', # 0xd9
'Gun ', # 0xda
'Yin ', # 0xdb
'Gao ', # 0xdc
'Long ', # 0xdd
'Zhi ', # 0xde
'Yan ', # 0xdf
'She ', # 0xe0
'Man ', # 0xe1
'Ying ', # 0xe2
'Chun ', # 0xe3
'Lu ', # 0xe4
'Lan ', # 0xe5
'Luan ', # 0xe6
'[?] ', # 0xe7
'Bin ', # 0xe8
'Tan ', # 0xe9
'Yu ', # 0xea
'Sou ', # 0xeb
'Hu ', # 0xec
'Bi ', # 0xed
'Biao ', # 0xee
'Zhi ', # 0xef
'Jiang ', # 0xf0
'Kou ', # 0xf1
'Shen ', # 0xf2
'Shang ', # 0xf3
'Di ', # 0xf4
'Mi ', # 0xf5
'Ao ', # 0xf6
'Lu ', # 0xf7
'Hu ', # 0xf8
'Hu ', # 0xf9
'You ', # 0xfa
'Chan ', # 0xfb
'Fan ', # 0xfc
'Yong ', # 0xfd
'Gun ', # 0xfe
'Man ', # 0xff
)
x06f = (
'Qing ', # 0x00
'Yu ', # 0x01
'Piao ', # 0x02
'Ji ', # 0x03
'Ya ', # 0x04
'Jiao ', # 0x05
'Qi ', # 0x06
'Xi ', # 0x07
'Ji ', # 0x08
'Lu ', # 0x09
'Lu ', # 0x0a
'Long ', # 0x0b
'Jin ', # 0x0c
'Guo ', # 0x0d
'Cong ', # 0x0e
'Lou ', # 0x0f
'Zhi ', # 0x10
'Gai ', # 0x11
'Qiang ', # 0x12
'Li ', # 0x13
'Yan ', # 0x14
'Cao ', # 0x15
'Jiao ', # 0x16
'Cong ', # 0x17
'Qun ', # 0x18
'Tuan ', # 0x19
'Ou ', # 0x1a
'Teng ', # 0x1b
'Ye ', # 0x1c
'Xi ', # 0x1d
'Mi ', # 0x1e
'Tang ', # 0x1f
'Mo ', # 0x20
'Shang ', # 0x21
'Han ', # 0x22
'Lian ', # 0x23
'Lan ', # 0x24
'Wa ', # 0x25
'Li ', # 0x26
'Qian ', # 0x27
'Feng ', # 0x28
'Xuan ', # 0x29
'Yi ', # 0x2a
'Man ', # 0x2b
'Zi ', # 0x2c
'Mang ', # 0x2d
'Kang ', # 0x2e
'Lei ', # 0x2f
'Peng ', # 0x30
'Shu ', # 0x31
'Zhang ', # 0x32
'Zhang ', # 0x33
'Chong ', # 0x34
'Xu ', # 0x35
'Huan ', # 0x36
'Kuo ', # 0x37
'Jian ', # 0x38
'Yan ', # 0x39
'Chuang ', # 0x3a
'Liao ', # 0x3b
'Cui ', # 0x3c
'Ti ', # 0x3d
'Yang ', # 0x3e
'Jiang ', # 0x3f
'Cong ', # 0x40
'Ying ', # 0x41
'Hong ', # 0x42
'Xun ', # 0x43
'Shu ', # 0x44
'Guan ', # 0x45
'Ying ', # 0x46
'Xiao ', # 0x47
'[?] ', # 0x48
'[?] ', # 0x49
'Xu ', # 0x4a
'Lian ', # 0x4b
'Zhi ', # 0x4c
'Wei ', # 0x4d
'Pi ', # 0x4e
'Jue ', # 0x4f
'Jiao ', # 0x50
'Po ', # 0x51
'Dang ', # 0x52
'Hui ', # 0x53
'Jie ', # 0x54
'Wu ', # 0x55
'Pa ', # 0x56
'Ji ', # 0x57
'Pan ', # 0x58
'Gui ', # 0x59
'Xiao ', # 0x5a
'Qian ', # 0x5b
'Qian ', # 0x5c
'Xi ', # 0x5d
'Lu ', # 0x5e
'Xi ', # 0x5f
'Xuan ', # 0x60
'Dun ', # 0x61
'Huang ', # 0x62
'Min ', # 0x63
'Run ', # 0x64
'Su ', # 0x65
'Liao ', # 0x66
'Zhen ', # 0x67
'Zhong ', # 0x68
'Yi ', # 0x69
'Di ', # 0x6a
'Wan ', # 0x6b
'Dan ', # 0x6c
'Tan ', # 0x6d
'Chao ', # 0x6e
'Xun ', # 0x6f
'Kui ', # 0x70
'Yie ', # 0x71
'Shao ', # 0x72
'Tu ', # 0x73
'Zhu ', # 0x74
'San ', # 0x75
'Hei ', # 0x76
'Bi ', # 0x77
'Shan ', # 0x78
'Chan ', # 0x79
'Chan ', # 0x7a
'Shu ', # 0x7b
'Tong ', # 0x7c
'Pu ', # 0x7d
'Lin ', # 0x7e
'Wei ', # 0x7f
'Se ', # 0x80
'Se ', # 0x81
'Cheng ', # 0x82
'Jiong ', # 0x83
'Cheng ', # 0x84
'Hua ', # 0x85
'Jiao ', # 0x86
'Lao ', # 0x87
'Che ', # 0x88
'Gan ', # 0x89
'Cun ', # 0x8a
'Heng ', # 0x8b
'Si ', # 0x8c
'Shu ', # 0x8d
'Peng ', # 0x8e
'Han ', # 0x8f
'Yun ', # 0x90
'Liu ', # 0x91
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'Yun ', # 0xc1
'Kuang ', # 0xc2
'Niu ', # 0xc3
'Di ', # 0xc4
'Qing ', # 0xc5
'Zhong ', # 0xc6
'Mu ', # 0xc7
'Bei ', # 0xc8
'Pi ', # 0xc9
'Ju ', # 0xca
'Ni ', # 0xcb
'Sheng ', # 0xcc
'Pao ', # 0xcd
'Xia ', # 0xce
'Tuo ', # 0xcf
'Hu ', # 0xd0
'Ling ', # 0xd1
'Fei ', # 0xd2
'Pi ', # 0xd3
'Ni ', # 0xd4
'Ao ', # 0xd5
'You ', # 0xd6
'Gou ', # 0xd7
'Yue ', # 0xd8
'Ju ', # 0xd9
'Dan ', # 0xda
'Po ', # 0xdb
'Gu ', # 0xdc
'Xian ', # 0xdd
'Ning ', # 0xde
'Huan ', # 0xdf
'Hen ', # 0xe0
'Jiao ', # 0xe1
'He ', # 0xe2
'Zhao ', # 0xe3
'Ji ', # 0xe4
'Xun ', # 0xe5
'Shan ', # 0xe6
'Ta ', # 0xe7
'Rong ', # 0xe8
'Shou ', # 0xe9
'Tong ', # 0xea
'Lao ', # 0xeb
'Du ', # 0xec
'Xia ', # 0xed
'Shi ', # 0xee
'Hua ', # 0xef
'Zheng ', # 0xf0
'Yu ', # 0xf1
'Sun ', # 0xf2
'Yu ', # 0xf3
'Bi ', # 0xf4
'Mang ', # 0xf5
'Xi ', # 0xf6
'Juan ', # 0xf7
'Li ', # 0xf8
'Xia ', # 0xf9
'Yin ', # 0xfa
'Suan ', # 0xfb
'Lang ', # 0xfc
'Bei ', # 0xfd
'Zhi ', # 0xfe
'Yan ', # 0xff
)
x073 = (
'Sha ', # 0x00
'Li ', # 0x01
'Han ', # 0x02
'Xian ', # 0x03
'Jing ', # 0x04
'Pai ', # 0x05
'Fei ', # 0x06
'Yao ', # 0x07
'Ba ', # 0x08
'Qi ', # 0x09
'Ni ', # 0x0a
'Biao ', # 0x0b
'Yin ', # 0x0c
'Lai ', # 0x0d
'Xi ', # 0x0e
'Jian ', # 0x0f
'Qiang ', # 0x10
'Kun ', # 0x11
'Yan ', # 0x12
'Guo ', # 0x13
'Zong ', # 0x14
'Mi ', # 0x15
'Chang ', # 0x16
'Yi ', # 0x17
'Zhi ', # 0x18
'Zheng ', # 0x19
'Ya ', # 0x1a
'Meng ', # 0x1b
'Cai ', # 0x1c
'Cu ', # 0x1d
'She ', # 0x1e
'Kari ', # 0x1f
'Cen ', # 0x20
'Luo ', # 0x21
'Hu ', # 0x22
'Zong ', # 0x23
'Ji ', # 0x24
'Wei ', # 0x25
'Feng ', # 0x26
'Wo ', # 0x27
'Yuan ', # 0x28
'Xing ', # 0x29
'Zhu ', # 0x2a
'Mao ', # 0x2b
'Wei ', # 0x2c
'Yuan ', # 0x2d
'Xian ', # 0x2e
'Tuan ', # 0x2f
'Ya ', # 0x30
'Nao ', # 0x31
'Xie ', # 0x32
'Jia ', # 0x33
'Hou ', # 0x34
'Bian ', # 0x35
'You ', # 0x36
'You ', # 0x37
'Mei ', # 0x38
'Zha ', # 0x39
'Yao ', # 0x3a
'Sun ', # 0x3b
'Bo ', # 0x3c
'Ming ', # 0x3d
'Hua ', # 0x3e
'Yuan ', # 0x3f
'Sou ', # 0x40
'Ma ', # 0x41
'Yuan ', # 0x42
'Dai ', # 0x43
'Yu ', # 0x44
'Shi ', # 0x45
'Hao ', # 0x46
'[?] ', # 0x47
'Yi ', # 0x48
'Zhen ', # 0x49
'Chuang ', # 0x4a
'Hao ', # 0x4b
'Man ', # 0x4c
'Jing ', # 0x4d
'Jiang ', # 0x4e
'Mu ', # 0x4f
'Zhang ', # 0x50
'Chan ', # 0x51
'Ao ', # 0x52
'Ao ', # 0x53
'Hao ', # 0x54
'Cui ', # 0x55
'Fen ', # 0x56
'Jue ', # 0x57
'Bi ', # 0x58
'Bi ', # 0x59
'Huang ', # 0x5a
'Pu ', # 0x5b
'Lin ', # 0x5c
'Yu ', # 0x5d
'Tong ', # 0x5e
'Yao ', # 0x5f
'Liao ', # 0x60
'Shuo ', # 0x61
'Xiao ', # 0x62
'Swu ', # 0x63
'Ton ', # 0x64
'Xi ', # 0x65
'Ge ', # 0x66
'Juan ', # 0x67
'Du ', # 0x68
'Hui ', # 0x69
'Kuai ', # 0x6a
'Xian ', # 0x6b
'Xie ', # 0x6c
'Ta ', # 0x6d
'Xian ', # 0x6e
'Xun ', # 0x6f
'Ning ', # 0x70
'Pin ', # 0x71
'Huo ', # 0x72
'Nou ', # 0x73
'Meng ', # 0x74
'Lie ', # 0x75
'Nao ', # 0x76
'Guang ', # 0x77
'Shou ', # 0x78
'Lu ', # 0x79
'Ta ', # 0x7a
'Xian ', # 0x7b
'Mi ', # 0x7c
'Rang ', # 0x7d
'Huan ', # 0x7e
'Nao ', # 0x7f
'Luo ', # 0x80
'Xian ', # 0x81
'Qi ', # 0x82
'Jue ', # 0x83
'Xuan ', # 0x84
'Miao ', # 0x85
'Zi ', # 0x86
'Lu ', # 0x87
'Lu ', # 0x88
'Yu ', # 0x89
'Su ', # 0x8a
'Wang ', # 0x8b
'Qiu ', # 0x8c
'Ga ', # 0x8d
'Ding ', # 0x8e
'Le ', # 0x8f
'Ba ', # 0x90
'Ji ', # 0x91
'Hong ', # 0x92
'Di ', # 0x93
'Quan ', # 0x94
'Gan ', # 0x95
'Jiu ', # 0x96
'Yu ', # 0x97
'Ji ', # 0x98
'Yu ', # 0x99
'Yang ', # 0x9a
'Ma ', # 0x9b
'Gong ', # 0x9c
'Wu ', # 0x9d
'Fu ', # 0x9e
'Wen ', # 0x9f
'Jie ', # 0xa0
'Ya ', # 0xa1
'Fen ', # 0xa2
'Bian ', # 0xa3
'Beng ', # 0xa4
'Yue ', # 0xa5
'Jue ', # 0xa6
'Yun ', # 0xa7
'Jue ', # 0xa8
'Wan ', # 0xa9
'Jian ', # 0xaa
'Mei ', # 0xab
'Dan ', # 0xac
'Pi ', # 0xad
'Wei ', # 0xae
'Huan ', # 0xaf
'Xian ', # 0xb0
'Qiang ', # 0xb1
'Ling ', # 0xb2
'Dai ', # 0xb3
'Yi ', # 0xb4
'An ', # 0xb5
'Ping ', # 0xb6
'Dian ', # 0xb7
'Fu ', # 0xb8
'Xuan ', # 0xb9
'Xi ', # 0xba
'Bo ', # 0xbb
'Ci ', # 0xbc
'Gou ', # 0xbd
'Jia ', # 0xbe
'Shao ', # 0xbf
'Po ', # 0xc0
'Ci ', # 0xc1
'Ke ', # 0xc2
'Ran ', # 0xc3
'Sheng ', # 0xc4
'Shen ', # 0xc5
'Yi ', # 0xc6
'Zu ', # 0xc7
'Jia ', # 0xc8
'Min ', # 0xc9
'Shan ', # 0xca
'Liu ', # 0xcb
'Bi ', # 0xcc
'Zhen ', # 0xcd
'Zhen ', # 0xce
'Jue ', # 0xcf
'Fa ', # 0xd0
'Long ', # 0xd1
'Jin ', # 0xd2
'Jiao ', # 0xd3
'Jian ', # 0xd4
'Li ', # 0xd5
'Guang ', # 0xd6
'Xian ', # 0xd7
'Zhou ', # 0xd8
'Gong ', # 0xd9
'Yan ', # 0xda
'Xiu ', # 0xdb
'Yang ', # 0xdc
'Xu ', # 0xdd
'Luo ', # 0xde
'Su ', # 0xdf
'Zhu ', # 0xe0
'Qin ', # 0xe1
'Ken ', # 0xe2
'Xun ', # 0xe3
'Bao ', # 0xe4
'Er ', # 0xe5
'Xiang ', # 0xe6
'Yao ', # 0xe7
'Xia ', # 0xe8
'Heng ', # 0xe9
'Gui ', # 0xea
'Chong ', # 0xeb
'Xu ', # 0xec
'Ban ', # 0xed
'Pei ', # 0xee
'[?] ', # 0xef
'Dang ', # 0xf0
'Ei ', # 0xf1
'Hun ', # 0xf2
'Wen ', # 0xf3
'E ', # 0xf4
'Cheng ', # 0xf5
'Ti ', # 0xf6
'Wu ', # 0xf7
'Wu ', # 0xf8
'Cheng ', # 0xf9
'Jun ', # 0xfa
'Mei ', # 0xfb
'Bei ', # 0xfc
'Ting ', # 0xfd
'Xian ', # 0xfe
'Chuo ', # 0xff
)
x074 = (
'Han ', # 0x00
'Xuan ', # 0x01
'Yan ', # 0x02
'Qiu ', # 0x03
'Quan ', # 0x04
'Lang ', # 0x05
'Li ', # 0x06
'Xiu ', # 0x07
'Fu ', # 0x08
'Liu ', # 0x09
'Ye ', # 0x0a
'Xi ', # 0x0b
'Ling ', # 0x0c
'Li ', # 0x0d
'Jin ', # 0x0e
'Lian ', # 0x0f
'Suo ', # 0x10
'Chiisai ', # 0x11
'[?] ', # 0x12
'Wan ', # 0x13
'Dian ', # 0x14
'Pin ', # 0x15
'Zhan ', # 0x16
'Cui ', # 0x17
'Min ', # 0x18
'Yu ', # 0x19
'Ju ', # 0x1a
'Chen ', # 0x1b
'Lai ', # 0x1c
'Wen ', # 0x1d
'Sheng ', # 0x1e
'Wei ', # 0x1f
'Dian ', # 0x20
'Chu ', # 0x21
'Zhuo ', # 0x22
'Pei ', # 0x23
'Cheng ', # 0x24
'Hu ', # 0x25
'Qi ', # 0x26
'E ', # 0x27
'Kun ', # 0x28
'Chang ', # 0x29
'Qi ', # 0x2a
'Beng ', # 0x2b
'Wan ', # 0x2c
'Lu ', # 0x2d
'Cong ', # 0x2e
'Guan ', # 0x2f
'Yan ', # 0x30
'Diao ', # 0x31
'Bei ', # 0x32
'Lin ', # 0x33
'Qin ', # 0x34
'Pi ', # 0x35
'Pa ', # 0x36
'Que ', # 0x37
'Zhuo ', # 0x38
'Qin ', # 0x39
'Fa ', # 0x3a
'[?] ', # 0x3b
'Qiong ', # 0x3c
'Du ', # 0x3d
'Jie ', # 0x3e
'Hun ', # 0x3f
'Yu ', # 0x40
'Mao ', # 0x41
'Mei ', # 0x42
'Chun ', # 0x43
'Xuan ', # 0x44
'Ti ', # 0x45
'Xing ', # 0x46
'Dai ', # 0x47
'Rou ', # 0x48
'Min ', # 0x49
'Zhen ', # 0x4a
'Wei ', # 0x4b
'Ruan ', # 0x4c
'Huan ', # 0x4d
'Jie ', # 0x4e
'Chuan ', # 0x4f
'Jian ', # 0x50
'Zhuan ', # 0x51
'Yang ', # 0x52
'Lian ', # 0x53
'Quan ', # 0x54
'Xia ', # 0x55
'Duan ', # 0x56
'Yuan ', # 0x57
'Ye ', # 0x58
'Nao ', # 0x59
'Hu ', # 0x5a
'Ying ', # 0x5b
'Yu ', # 0x5c
'Huang ', # 0x5d
'Rui ', # 0x5e
'Se ', # 0x5f
'Liu ', # 0x60
'Shi ', # 0x61
'Rong ', # 0x62
'Suo ', # 0x63
'Yao ', # 0x64
'Wen ', # 0x65
'Wu ', # 0x66
'Jin ', # 0x67
'Jin ', # 0x68
'Ying ', # 0x69
'Ma ', # 0x6a
'Tao ', # 0x6b
'Liu ', # 0x6c
'Tang ', # 0x6d
'Li ', # 0x6e
'Lang ', # 0x6f
'Gui ', # 0x70
'Zhen ', # 0x71
'Qiang ', # 0x72
'Cuo ', # 0x73
'Jue ', # 0x74
'Zhao ', # 0x75
'Yao ', # 0x76
'Ai ', # 0x77
'Bin ', # 0x78
'Tu ', # 0x79
'Chang ', # 0x7a
'Kun ', # 0x7b
'Zhuan ', # 0x7c
'Cong ', # 0x7d
'Jin ', # 0x7e
'Yi ', # 0x7f
'Cui ', # 0x80
'Cong ', # 0x81
'Qi ', # 0x82
'Li ', # 0x83
'Ying ', # 0x84
'Suo ', # 0x85
'Qiu ', # 0x86
'Xuan ', # 0x87
'Ao ', # 0x88
'Lian ', # 0x89
'Man ', # 0x8a
'Zhang ', # 0x8b
'Yin ', # 0x8c
'[?] ', # 0x8d
'Ying ', # 0x8e
'Zhi ', # 0x8f
'Lu ', # 0x90
'Wu ', # 0x91
'Deng ', # 0x92
'Xiou ', # 0x93
'Zeng ', # 0x94
'Xun ', # 0x95
'Qu ', # 0x96
'Dang ', # 0x97
'Lin ', # 0x98
'Liao ', # 0x99
'Qiong ', # 0x9a
'Su ', # 0x9b
'Huang ', # 0x9c
'Gui ', # 0x9d
'Pu ', # 0x9e
'Jing ', # 0x9f
'Fan ', # 0xa0
'Jin ', # 0xa1
'Liu ', # 0xa2
'Ji ', # 0xa3
'[?] ', # 0xa4
'Jing ', # 0xa5
'Ai ', # 0xa6
'Bi ', # 0xa7
'Can ', # 0xa8
'Qu ', # 0xa9
'Zao ', # 0xaa
'Dang ', # 0xab
'Jiao ', # 0xac
'Gun ', # 0xad
'Tan ', # 0xae
'Hui ', # 0xaf
'Huan ', # 0xb0
'Se ', # 0xb1
'Sui ', # 0xb2
'Tian ', # 0xb3
'[?] ', # 0xb4
'Yu ', # 0xb5
'Jin ', # 0xb6
'Lu ', # 0xb7
'Bin ', # 0xb8
'Shou ', # 0xb9
'Wen ', # 0xba
'Zui ', # 0xbb
'Lan ', # 0xbc
'Xi ', # 0xbd
'Ji ', # 0xbe
'Xuan ', # 0xbf
'Ruan ', # 0xc0
'Huo ', # 0xc1
'Gai ', # 0xc2
'Lei ', # 0xc3
'Du ', # 0xc4
'Li ', # 0xc5
'Zhi ', # 0xc6
'Rou ', # 0xc7
'Li ', # 0xc8
'Zan ', # 0xc9
'Qiong ', # 0xca
'Zhe ', # 0xcb
'Gui ', # 0xcc
'Sui ', # 0xcd
'La ', # 0xce
'Long ', # 0xcf
'Lu ', # 0xd0
'Li ', # 0xd1
'Zan ', # 0xd2
'Lan ', # 0xd3
'Ying ', # 0xd4
'Mi ', # 0xd5
'Xiang ', # 0xd6
'Xi ', # 0xd7
'Guan ', # 0xd8
'Dao ', # 0xd9
'Zan ', # 0xda
'Huan ', # 0xdb
'Gua ', # 0xdc
'Bo ', # 0xdd
'Die ', # 0xde
'Bao ', # 0xdf
'Hu ', # 0xe0
'Zhi ', # 0xe1
'Piao ', # 0xe2
'Ban ', # 0xe3
'Rang ', # 0xe4
'Li ', # 0xe5
'Wa ', # 0xe6
'Dekaguramu ', # 0xe7
'Jiang ', # 0xe8
'Qian ', # 0xe9
'Fan ', # 0xea
'Pen ', # 0xeb
'Fang ', # 0xec
'Dan ', # 0xed
'Weng ', # 0xee
'Ou ', # 0xef
'Deshiguramu ', # 0xf0
'Miriguramu ', # 0xf1
'Thon ', # 0xf2
'Hu ', # 0xf3
'Ling ', # 0xf4
'Yi ', # 0xf5
'Ping ', # 0xf6
'Ci ', # 0xf7
'Hekutogura ', # 0xf8
'Juan ', # 0xf9
'Chang ', # 0xfa
'Chi ', # 0xfb
'Sarake ', # 0xfc
'Dang ', # 0xfd
'Meng ', # 0xfe
'Pou ', # 0xff
)
x075 = (
'Zhui ', # 0x00
'Ping ', # 0x01
'Bian ', # 0x02
'Zhou ', # 0x03
'Zhen ', # 0x04
'Senchigura ', # 0x05
'Ci ', # 0x06
'Ying ', # 0x07
'Qi ', # 0x08
'Xian ', # 0x09
'Lou ', # 0x0a
'Di ', # 0x0b
'Ou ', # 0x0c
'Meng ', # 0x0d
'Zhuan ', # 0x0e
'Peng ', # 0x0f
'Lin ', # 0x10
'Zeng ', # 0x11
'Wu ', # 0x12
'Pi ', # 0x13
'Dan ', # 0x14
'Weng ', # 0x15
'Ying ', # 0x16
'Yan ', # 0x17
'Gan ', # 0x18
'Dai ', # 0x19
'Shen ', # 0x1a
'Tian ', # 0x1b
'Tian ', # 0x1c
'Han ', # 0x1d
'Chang ', # 0x1e
'Sheng ', # 0x1f
'Qing ', # 0x20
'Sheng ', # 0x21
'Chan ', # 0x22
'Chan ', # 0x23
'Rui ', # 0x24
'Sheng ', # 0x25
'Su ', # 0x26
'Sen ', # 0x27
'Yong ', # 0x28
'Shuai ', # 0x29
'Lu ', # 0x2a
'Fu ', # 0x2b
'Yong ', # 0x2c
'Beng ', # 0x2d
'Feng ', # 0x2e
'Ning ', # 0x2f
'Tian ', # 0x30
'You ', # 0x31
'Jia ', # 0x32
'Shen ', # 0x33
'Zha ', # 0x34
'Dian ', # 0x35
'Fu ', # 0x36
'Nan ', # 0x37
'Dian ', # 0x38
'Ping ', # 0x39
'Ting ', # 0x3a
'Hua ', # 0x3b
'Ting ', # 0x3c
'Quan ', # 0x3d
'Zi ', # 0x3e
'Meng ', # 0x3f
'Bi ', # 0x40
'Qi ', # 0x41
'Liu ', # 0x42
'Xun ', # 0x43
'Liu ', # 0x44
'Chang ', # 0x45
'Mu ', # 0x46
'Yun ', # 0x47
'Fan ', # 0x48
'Fu ', # 0x49
'Geng ', # 0x4a
'Tian ', # 0x4b
'Jie ', # 0x4c
'Jie ', # 0x4d
'Quan ', # 0x4e
'Wei ', # 0x4f
'Fu ', # 0x50
'Tian ', # 0x51
'Mu ', # 0x52
'Tap ', # 0x53
'Pan ', # 0x54
'Jiang ', # 0x55
'Wa ', # 0x56
'Da ', # 0x57
'Nan ', # 0x58
'Liu ', # 0x59
'Ben ', # 0x5a
'Zhen ', # 0x5b
'Chu ', # 0x5c
'Mu ', # 0x5d
'Mu ', # 0x5e
'Ce ', # 0x5f
'Cen ', # 0x60
'Gai ', # 0x61
'Bi ', # 0x62
'Da ', # 0x63
'Zhi ', # 0x64
'Lue ', # 0x65
'Qi ', # 0x66
'Lue ', # 0x67
'Pan ', # 0x68
'Kesa ', # 0x69
'Fan ', # 0x6a
'Hua ', # 0x6b
'Yu ', # 0x6c
'Yu ', # 0x6d
'Mu ', # 0x6e
'Jun ', # 0x6f
'Yi ', # 0x70
'Liu ', # 0x71
'Yu ', # 0x72
'Die ', # 0x73
'Chou ', # 0x74
'Hua ', # 0x75
'Dang ', # 0x76
'Chuo ', # 0x77
'Ji ', # 0x78
'Wan ', # 0x79
'Jiang ', # 0x7a
'Sheng ', # 0x7b
'Chang ', # 0x7c
'Tuan ', # 0x7d
'Lei ', # 0x7e
'Ji ', # 0x7f
'Cha ', # 0x80
'Liu ', # 0x81
'Tatamu ', # 0x82
'Tuan ', # 0x83
'Lin ', # 0x84
'Jiang ', # 0x85
'Jiang ', # 0x86
'Chou ', # 0x87
'Bo ', # 0x88
'Die ', # 0x89
'Die ', # 0x8a
'Pi ', # 0x8b
'Nie ', # 0x8c
'Dan ', # 0x8d
'Shu ', # 0x8e
'Shu ', # 0x8f
'Zhi ', # 0x90
'Yi ', # 0x91
'Chuang ', # 0x92
'Nai ', # 0x93
'Ding ', # 0x94
'Bi ', # 0x95
'Jie ', # 0x96
'Liao ', # 0x97
'Gong ', # 0x98
'Ge ', # 0x99
'Jiu ', # 0x9a
'Zhou ', # 0x9b
'Xia ', # 0x9c
'Shan ', # 0x9d
'Xu ', # 0x9e
'Nue ', # 0x9f
'Li ', # 0xa0
'Yang ', # 0xa1
'Chen ', # 0xa2
'You ', # 0xa3
'Ba ', # 0xa4
'Jie ', # 0xa5
'Jue ', # 0xa6
'Zhi ', # 0xa7
'Xia ', # 0xa8
'Cui ', # 0xa9
'Bi ', # 0xaa
'Yi ', # 0xab
'Li ', # 0xac
'Zong ', # 0xad
'Chuang ', # 0xae
'Feng ', # 0xaf
'Zhu ', # 0xb0
'Pao ', # 0xb1
'Pi ', # 0xb2
'Gan ', # 0xb3
'Ke ', # 0xb4
'Ci ', # 0xb5
'Xie ', # 0xb6
'Qi ', # 0xb7
'Dan ', # 0xb8
'Zhen ', # 0xb9
'Fa ', # 0xba
'Zhi ', # 0xbb
'Teng ', # 0xbc
'Ju ', # 0xbd
'Ji ', # 0xbe
'Fei ', # 0xbf
'Qu ', # 0xc0
'Dian ', # 0xc1
'Jia ', # 0xc2
'Xian ', # 0xc3
'Cha ', # 0xc4
'Bing ', # 0xc5
'Ni ', # 0xc6
'Zheng ', # 0xc7
'Yong ', # 0xc8
'Jing ', # 0xc9
'Quan ', # 0xca
'Chong ', # 0xcb
'Tong ', # 0xcc
'Yi ', # 0xcd
'Kai ', # 0xce
'Wei ', # 0xcf
'Hui ', # 0xd0
'Duo ', # 0xd1
'Yang ', # 0xd2
'Chi ', # 0xd3
'Zhi ', # 0xd4
'Hen ', # 0xd5
'Ya ', # 0xd6
'Mei ', # 0xd7
'Dou ', # 0xd8
'Jing ', # 0xd9
'Xiao ', # 0xda
'Tong ', # 0xdb
'Tu ', # 0xdc
'Mang ', # 0xdd
'Pi ', # 0xde
'Xiao ', # 0xdf
'Suan ', # 0xe0
'Pu ', # 0xe1
'Li ', # 0xe2
'Zhi ', # 0xe3
'Cuo ', # 0xe4
'Duo ', # 0xe5
'Wu ', # 0xe6
'Sha ', # 0xe7
'Lao ', # 0xe8
'Shou ', # 0xe9
'Huan ', # 0xea
'Xian ', # 0xeb
'Yi ', # 0xec
'Peng ', # 0xed
'Zhang ', # 0xee
'Guan ', # 0xef
'Tan ', # 0xf0
'Fei ', # 0xf1
'Ma ', # 0xf2
'Lin ', # 0xf3
'Chi ', # 0xf4
'Ji ', # 0xf5
'Dian ', # 0xf6
'An ', # 0xf7
'Chi ', # 0xf8
'Bi ', # 0xf9
'Bei ', # 0xfa
'Min ', # 0xfb
'Gu ', # 0xfc
'Dui ', # 0xfd
'E ', # 0xfe
'Wei ', # 0xff
)
x076 = (
'Yu ', # 0x00
'Cui ', # 0x01
'Ya ', # 0x02
'Zhu ', # 0x03
'Cu ', # 0x04
'Dan ', # 0x05
'Shen ', # 0x06
'Zhung ', # 0x07
'Ji ', # 0x08
'Yu ', # 0x09
'Hou ', # 0x0a
'Feng ', # 0x0b
'La ', # 0x0c
'Yang ', # 0x0d
'Shen ', # 0x0e
'Tu ', # 0x0f
'Yu ', # 0x10
'Gua ', # 0x11
'Wen ', # 0x12
'Huan ', # 0x13
'Ku ', # 0x14
'Jia ', # 0x15
'Yin ', # 0x16
'Yi ', # 0x17
'Lu ', # 0x18
'Sao ', # 0x19
'Jue ', # 0x1a
'Chi ', # 0x1b
'Xi ', # 0x1c
'Guan ', # 0x1d
'Yi ', # 0x1e
'Wen ', # 0x1f
'Ji ', # 0x20
'Chuang ', # 0x21
'Ban ', # 0x22
'Lei ', # 0x23
'Liu ', # 0x24
'Chai ', # 0x25
'Shou ', # 0x26
'Nue ', # 0x27
'Dian ', # 0x28
'Da ', # 0x29
'Pie ', # 0x2a
'Tan ', # 0x2b
'Zhang ', # 0x2c
'Biao ', # 0x2d
'Shen ', # 0x2e
'Cu ', # 0x2f
'Luo ', # 0x30
'Yi ', # 0x31
'Zong ', # 0x32
'Chou ', # 0x33
'Zhang ', # 0x34
'Zhai ', # 0x35
'Sou ', # 0x36
'Suo ', # 0x37
'Que ', # 0x38
'Diao ', # 0x39
'Lou ', # 0x3a
'Lu ', # 0x3b
'Mo ', # 0x3c
'Jin ', # 0x3d
'Yin ', # 0x3e
'Ying ', # 0x3f
'Huang ', # 0x40
'Fu ', # 0x41
'Liao ', # 0x42
'Long ', # 0x43
'Qiao ', # 0x44
'Liu ', # 0x45
'Lao ', # 0x46
'Xian ', # 0x47
'Fei ', # 0x48
'Dan ', # 0x49
'Yin ', # 0x4a
'He ', # 0x4b
'Yan ', # 0x4c
'Ban ', # 0x4d
'Xian ', # 0x4e
'Guan ', # 0x4f
'Guai ', # 0x50
'Nong ', # 0x51
'Yu ', # 0x52
'Wei ', # 0x53
'Yi ', # 0x54
'Yong ', # 0x55
'Pi ', # 0x56
'Lei ', # 0x57
'Li ', # 0x58
'Shu ', # 0x59
'Dan ', # 0x5a
'Lin ', # 0x5b
'Dian ', # 0x5c
'Lin ', # 0x5d
'Lai ', # 0x5e
'Pie ', # 0x5f
'Ji ', # 0x60
'Chi ', # 0x61
'Yang ', # 0x62
'Xian ', # 0x63
'Jie ', # 0x64
'Zheng ', # 0x65
'[?] ', # 0x66
'Li ', # 0x67
'Huo ', # 0x68
'Lai ', # 0x69
'Shaku ', # 0x6a
'Dian ', # 0x6b
'Xian ', # 0x6c
'Ying ', # 0x6d
'Yin ', # 0x6e
'Qu ', # 0x6f
'Yong ', # 0x70
'Tan ', # 0x71
'Dian ', # 0x72
'Luo ', # 0x73
'Luan ', # 0x74
'Luan ', # 0x75
'Bo ', # 0x76
'[?] ', # 0x77
'Gui ', # 0x78
'Po ', # 0x79
'Fa ', # 0x7a
'Deng ', # 0x7b
'Fa ', # 0x7c
'Bai ', # 0x7d
'Bai ', # 0x7e
'Qie ', # 0x7f
'Bi ', # 0x80
'Zao ', # 0x81
'Zao ', # 0x82
'Mao ', # 0x83
'De ', # 0x84
'Pa ', # 0x85
'Jie ', # 0x86
'Huang ', # 0x87
'Gui ', # 0x88
'Ci ', # 0x89
'Ling ', # 0x8a
'Gao ', # 0x8b
'Mo ', # 0x8c
'Ji ', # 0x8d
'Jiao ', # 0x8e
'Peng ', # 0x8f
'Gao ', # 0x90
'Ai ', # 0x91
'E ', # 0x92
'Hao ', # 0x93
'Han ', # 0x94
'Bi ', # 0x95
'Wan ', # 0x96
'Chou ', # 0x97
'Qian ', # 0x98
'Xi ', # 0x99
'Ai ', # 0x9a
'Jiong ', # 0x9b
'Hao ', # 0x9c
'Huang ', # 0x9d
'Hao ', # 0x9e
'Ze ', # 0x9f
'Cui ', # 0xa0
'Hao ', # 0xa1
'Xiao ', # 0xa2
'Ye ', # 0xa3
'Po ', # 0xa4
'Hao ', # 0xa5
'Jiao ', # 0xa6
'Ai ', # 0xa7
'Xing ', # 0xa8
'Huang ', # 0xa9
'Li ', # 0xaa
'Piao ', # 0xab
'He ', # 0xac
'Jiao ', # 0xad
'Pi ', # 0xae
'Gan ', # 0xaf
'Pao ', # 0xb0
'Zhou ', # 0xb1
'Jun ', # 0xb2
'Qiu ', # 0xb3
'Cun ', # 0xb4
'Que ', # 0xb5
'Zha ', # 0xb6
'Gu ', # 0xb7
'Jun ', # 0xb8
'Jun ', # 0xb9
'Zhou ', # 0xba
'Zha ', # 0xbb
'Gu ', # 0xbc
'Zhan ', # 0xbd
'Du ', # 0xbe
'Min ', # 0xbf
'Qi ', # 0xc0
'Ying ', # 0xc1
'Yu ', # 0xc2
'Bei ', # 0xc3
'Zhao ', # 0xc4
'Zhong ', # 0xc5
'Pen ', # 0xc6
'He ', # 0xc7
'Ying ', # 0xc8
'He ', # 0xc9
'Yi ', # 0xca
'Bo ', # 0xcb
'Wan ', # 0xcc
'He ', # 0xcd
'Ang ', # 0xce
'Zhan ', # 0xcf
'Yan ', # 0xd0
'Jian ', # 0xd1
'He ', # 0xd2
'Yu ', # 0xd3
'Kui ', # 0xd4
'Fan ', # 0xd5
'Gai ', # 0xd6
'Dao ', # 0xd7
'Pan ', # 0xd8
'Fu ', # 0xd9
'Qiu ', # 0xda
'Sheng ', # 0xdb
'Dao ', # 0xdc
'Lu ', # 0xdd
'Zhan ', # 0xde
'Meng ', # 0xdf
'Li ', # 0xe0
'Jin ', # 0xe1
'Xu ', # 0xe2
'Jian ', # 0xe3
'Pan ', # 0xe4
'Guan ', # 0xe5
'An ', # 0xe6
'Lu ', # 0xe7
'Shu ', # 0xe8
'Zhou ', # 0xe9
'Dang ', # 0xea
'An ', # 0xeb
'Gu ', # 0xec
'Li ', # 0xed
'Mu ', # 0xee
'Cheng ', # 0xef
'Gan ', # 0xf0
'Xu ', # 0xf1
'Mang ', # 0xf2
'Mang ', # 0xf3
'Zhi ', # 0xf4
'Qi ', # 0xf5
'Ruan ', # 0xf6
'Tian ', # 0xf7
'Xiang ', # 0xf8
'Dun ', # 0xf9
'Xin ', # 0xfa
'Xi ', # 0xfb
'Pan ', # 0xfc
'Feng ', # 0xfd
'Dun ', # 0xfe
'Min ', # 0xff
)
x077 = (
'Ming ', # 0x00
'Sheng ', # 0x01
'Shi ', # 0x02
'Yun ', # 0x03
'Mian ', # 0x04
'Pan ', # 0x05
'Fang ', # 0x06
'Miao ', # 0x07
'Dan ', # 0x08
'Mei ', # 0x09
'Mao ', # 0x0a
'Kan ', # 0x0b
'Xian ', # 0x0c
'Ou ', # 0x0d
'Shi ', # 0x0e
'Yang ', # 0x0f
'Zheng ', # 0x10
'Yao ', # 0x11
'Shen ', # 0x12
'Huo ', # 0x13
'Da ', # 0x14
'Zhen ', # 0x15
'Kuang ', # 0x16
'Ju ', # 0x17
'Shen ', # 0x18
'Chi ', # 0x19
'Sheng ', # 0x1a
'Mei ', # 0x1b
'Mo ', # 0x1c
'Zhu ', # 0x1d
'Zhen ', # 0x1e
'Zhen ', # 0x1f
'Mian ', # 0x20
'Di ', # 0x21
'Yuan ', # 0x22
'Die ', # 0x23
'Yi ', # 0x24
'Zi ', # 0x25
'Zi ', # 0x26
'Chao ', # 0x27
'Zha ', # 0x28
'Xuan ', # 0x29
'Bing ', # 0x2a
'Mi ', # 0x2b
'Long ', # 0x2c
'Sui ', # 0x2d
'Dong ', # 0x2e
'Mi ', # 0x2f
'Die ', # 0x30
'Yi ', # 0x31
'Er ', # 0x32
'Ming ', # 0x33
'Xuan ', # 0x34
'Chi ', # 0x35
'Kuang ', # 0x36
'Juan ', # 0x37
'Mou ', # 0x38
'Zhen ', # 0x39
'Tiao ', # 0x3a
'Yang ', # 0x3b
'Yan ', # 0x3c
'Mo ', # 0x3d
'Zhong ', # 0x3e
'Mai ', # 0x3f
'Zhao ', # 0x40
'Zheng ', # 0x41
'Mei ', # 0x42
'Jun ', # 0x43
'Shao ', # 0x44
'Han ', # 0x45
'Huan ', # 0x46
'Di ', # 0x47
'Cheng ', # 0x48
'Cuo ', # 0x49
'Juan ', # 0x4a
'E ', # 0x4b
'Wan ', # 0x4c
'Xian ', # 0x4d
'Xi ', # 0x4e
'Kun ', # 0x4f
'Lai ', # 0x50
'Jian ', # 0x51
'Shan ', # 0x52
'Tian ', # 0x53
'Hun ', # 0x54
'Wan ', # 0x55
'Ling ', # 0x56
'Shi ', # 0x57
'Qiong ', # 0x58
'Lie ', # 0x59
'Yai ', # 0x5a
'Jing ', # 0x5b
'Zheng ', # 0x5c
'Li ', # 0x5d
'Lai ', # 0x5e
'Sui ', # 0x5f
'Juan ', # 0x60
'Shui ', # 0x61
'Sui ', # 0x62
'Du ', # 0x63
'Bi ', # 0x64
'Bi ', # 0x65
'Mu ', # 0x66
'Hun ', # 0x67
'Ni ', # 0x68
'Lu ', # 0x69
'Yi ', # 0x6a
'Jie ', # 0x6b
'Cai ', # 0x6c
'Zhou ', # 0x6d
'Yu ', # 0x6e
'Hun ', # 0x6f
'Ma ', # 0x70
'Xia ', # 0x71
'Xing ', # 0x72
'Xi ', # 0x73
'Gun ', # 0x74
'Cai ', # 0x75
'Chun ', # 0x76
'Jian ', # 0x77
'Mei ', # 0x78
'Du ', # 0x79
'Hou ', # 0x7a
'Xuan ', # 0x7b
'Ti ', # 0x7c
'Kui ', # 0x7d
'Gao ', # 0x7e
'Rui ', # 0x7f
'Mou ', # 0x80
'Xu ', # 0x81
'Fa ', # 0x82
'Wen ', # 0x83
'Miao ', # 0x84
'Chou ', # 0x85
'Kui ', # 0x86
'Mi ', # 0x87
'Weng ', # 0x88
'Kou ', # 0x89
'Dang ', # 0x8a
'Chen ', # 0x8b
'Ke ', # 0x8c
'Sou ', # 0x8d
'Xia ', # 0x8e
'Qiong ', # 0x8f
'Mao ', # 0x90
'Ming ', # 0x91
'Man ', # 0x92
'Shui ', # 0x93
'Ze ', # 0x94
'Zhang ', # 0x95
'Yi ', # 0x96
'Diao ', # 0x97
'Ou ', # 0x98
'Mo ', # 0x99
'Shun ', # 0x9a
'Cong ', # 0x9b
'Lou ', # 0x9c
'Chi ', # 0x9d
'Man ', # 0x9e
'Piao ', # 0x9f
'Cheng ', # 0xa0
'Ji ', # 0xa1
'Meng ', # 0xa2
'[?] ', # 0xa3
'Run ', # 0xa4
'Pie ', # 0xa5
'Xi ', # 0xa6
'Qiao ', # 0xa7
'Pu ', # 0xa8
'Zhu ', # 0xa9
'Deng ', # 0xaa
'Shen ', # 0xab
'Shun ', # 0xac
'Liao ', # 0xad
'Che ', # 0xae
'Xian ', # 0xaf
'Kan ', # 0xb0
'Ye ', # 0xb1
'Xu ', # 0xb2
'Tong ', # 0xb3
'Mou ', # 0xb4
'Lin ', # 0xb5
'Kui ', # 0xb6
'Xian ', # 0xb7
'Ye ', # 0xb8
'Ai ', # 0xb9
'Hui ', # 0xba
'Zhan ', # 0xbb
'Jian ', # 0xbc
'Gu ', # 0xbd
'Zhao ', # 0xbe
'Qu ', # 0xbf
'Wei ', # 0xc0
'Chou ', # 0xc1
'Sao ', # 0xc2
'Ning ', # 0xc3
'Xun ', # 0xc4
'Yao ', # 0xc5
'Huo ', # 0xc6
'Meng ', # 0xc7
'Mian ', # 0xc8
'Bin ', # 0xc9
'Mian ', # 0xca
'Li ', # 0xcb
'Kuang ', # 0xcc
'Jue ', # 0xcd
'Xuan ', # 0xce
'Mian ', # 0xcf
'Huo ', # 0xd0
'Lu ', # 0xd1
'Meng ', # 0xd2
'Long ', # 0xd3
'Guan ', # 0xd4
'Man ', # 0xd5
'Xi ', # 0xd6
'Chu ', # 0xd7
'Tang ', # 0xd8
'Kan ', # 0xd9
'Zhu ', # 0xda
'Mao ', # 0xdb
'Jin ', # 0xdc
'Lin ', # 0xdd
'Yu ', # 0xde
'Shuo ', # 0xdf
'Ce ', # 0xe0
'Jue ', # 0xe1
'Shi ', # 0xe2
'Yi ', # 0xe3
'Shen ', # 0xe4
'Zhi ', # 0xe5
'Hou ', # 0xe6
'Shen ', # 0xe7
'Ying ', # 0xe8
'Ju ', # 0xe9
'Zhou ', # 0xea
'Jiao ', # 0xeb
'Cuo ', # 0xec
'Duan ', # 0xed
'Ai ', # 0xee
'Jiao ', # 0xef
'Zeng ', # 0xf0
'Huo ', # 0xf1
'Bai ', # 0xf2
'Shi ', # 0xf3
'Ding ', # 0xf4
'Qi ', # 0xf5
'Ji ', # 0xf6
'Zi ', # 0xf7
'Gan ', # 0xf8
'Wu ', # 0xf9
'Tuo ', # 0xfa
'Ku ', # 0xfb
'Qiang ', # 0xfc
'Xi ', # 0xfd
'Fan ', # 0xfe
'Kuang ', # 0xff
)
x078 = (
'Dang ', # 0x00
'Ma ', # 0x01
'Sha ', # 0x02
'Dan ', # 0x03
'Jue ', # 0x04
'Li ', # 0x05
'Fu ', # 0x06
'Min ', # 0x07
'Nuo ', # 0x08
'Huo ', # 0x09
'Kang ', # 0x0a
'Zhi ', # 0x0b
'Qi ', # 0x0c
'Kan ', # 0x0d
'Jie ', # 0x0e
'Fen ', # 0x0f
'E ', # 0x10
'Ya ', # 0x11
'Pi ', # 0x12
'Zhe ', # 0x13
'Yan ', # 0x14
'Sui ', # 0x15
'Zhuan ', # 0x16
'Che ', # 0x17
'Dun ', # 0x18
'Pan ', # 0x19
'Yan ', # 0x1a
'[?] ', # 0x1b
'Feng ', # 0x1c
'Fa ', # 0x1d
'Mo ', # 0x1e
'Zha ', # 0x1f
'Qu ', # 0x20
'Yu ', # 0x21
'Luo ', # 0x22
'Tuo ', # 0x23
'Tuo ', # 0x24
'Di ', # 0x25
'Zhai ', # 0x26
'Zhen ', # 0x27
'Ai ', # 0x28
'Fei ', # 0x29
'Mu ', # 0x2a
'Zhu ', # 0x2b
'Li ', # 0x2c
'Bian ', # 0x2d
'Nu ', # 0x2e
'Ping ', # 0x2f
'Peng ', # 0x30
'Ling ', # 0x31
'Pao ', # 0x32
'Le ', # 0x33
'Po ', # 0x34
'Bo ', # 0x35
'Po ', # 0x36
'Shen ', # 0x37
'Za ', # 0x38
'Nuo ', # 0x39
'Li ', # 0x3a
'Long ', # 0x3b
'Tong ', # 0x3c
'[?] ', # 0x3d
'Li ', # 0x3e
'Aragane ', # 0x3f
'Chu ', # 0x40
'Keng ', # 0x41
'Quan ', # 0x42
'Zhu ', # 0x43
'Kuang ', # 0x44
'Huo ', # 0x45
'E ', # 0x46
'Nao ', # 0x47
'Jia ', # 0x48
'Lu ', # 0x49
'Wei ', # 0x4a
'Ai ', # 0x4b
'Luo ', # 0x4c
'Ken ', # 0x4d
'Xing ', # 0x4e
'Yan ', # 0x4f
'Tong ', # 0x50
'Peng ', # 0x51
'Xi ', # 0x52
'[?] ', # 0x53
'Hong ', # 0x54
'Shuo ', # 0x55
'Xia ', # 0x56
'Qiao ', # 0x57
'[?] ', # 0x58
'Wei ', # 0x59
'Qiao ', # 0x5a
'[?] ', # 0x5b
'Keng ', # 0x5c
'Xiao ', # 0x5d
'Que ', # 0x5e
'Chan ', # 0x5f
'Lang ', # 0x60
'Hong ', # 0x61
'Yu ', # 0x62
'Xiao ', # 0x63
'Xia ', # 0x64
'Mang ', # 0x65
'Long ', # 0x66
'Iong ', # 0x67
'Che ', # 0x68
'Che ', # 0x69
'E ', # 0x6a
'Liu ', # 0x6b
'Ying ', # 0x6c
'Mang ', # 0x6d
'Que ', # 0x6e
'Yan ', # 0x6f
'Sha ', # 0x70
'Kun ', # 0x71
'Yu ', # 0x72
'[?] ', # 0x73
'Kaki ', # 0x74
'Lu ', # 0x75
'Chen ', # 0x76
'Jian ', # 0x77
'Nue ', # 0x78
'Song ', # 0x79
'Zhuo ', # 0x7a
'Keng ', # 0x7b
'Peng ', # 0x7c
'Yan ', # 0x7d
'Zhui ', # 0x7e
'Kong ', # 0x7f
'Ceng ', # 0x80
'Qi ', # 0x81
'Zong ', # 0x82
'Qing ', # 0x83
'Lin ', # 0x84
'Jun ', # 0x85
'Bo ', # 0x86
'Ding ', # 0x87
'Min ', # 0x88
'Diao ', # 0x89
'Jian ', # 0x8a
'He ', # 0x8b
'Lu ', # 0x8c
'Ai ', # 0x8d
'Sui ', # 0x8e
'Que ', # 0x8f
'Ling ', # 0x90
'Bei ', # 0x91
'Yin ', # 0x92
'Dui ', # 0x93
'Wu ', # 0x94
'Qi ', # 0x95
'Lun ', # 0x96
'Wan ', # 0x97
'Dian ', # 0x98
'Gang ', # 0x99
'Pei ', # 0x9a
'Qi ', # 0x9b
'Chen ', # 0x9c
'Ruan ', # 0x9d
'Yan ', # 0x9e
'Die ', # 0x9f
'Ding ', # 0xa0
'Du ', # 0xa1
'Tuo ', # 0xa2
'Jie ', # 0xa3
'Ying ', # 0xa4
'Bian ', # 0xa5
'Ke ', # 0xa6
'Bi ', # 0xa7
'Wei ', # 0xa8
'Shuo ', # 0xa9
'Zhen ', # 0xaa
'Duan ', # 0xab
'Xia ', # 0xac
'Dang ', # 0xad
'Ti ', # 0xae
'Nao ', # 0xaf
'Peng ', # 0xb0
'Jian ', # 0xb1
'Di ', # 0xb2
'Tan ', # 0xb3
'Cha ', # 0xb4
'Seki ', # 0xb5
'Qi ', # 0xb6
'[?] ', # 0xb7
'Feng ', # 0xb8
'Xuan ', # 0xb9
'Que ', # 0xba
'Que ', # 0xbb
'Ma ', # 0xbc
'Gong ', # 0xbd
'Nian ', # 0xbe
'Su ', # 0xbf
'E ', # 0xc0
'Ci ', # 0xc1
'Liu ', # 0xc2
'Si ', # 0xc3
'Tang ', # 0xc4
'Bang ', # 0xc5
'Hua ', # 0xc6
'Pi ', # 0xc7
'Wei ', # 0xc8
'Sang ', # 0xc9
'Lei ', # 0xca
'Cuo ', # 0xcb
'Zhen ', # 0xcc
'Xia ', # 0xcd
'Qi ', # 0xce
'Lian ', # 0xcf
'Pan ', # 0xd0
'Wei ', # 0xd1
'Yun ', # 0xd2
'Dui ', # 0xd3
'Zhe ', # 0xd4
'Ke ', # 0xd5
'La ', # 0xd6
'[?] ', # 0xd7
'Qing ', # 0xd8
'Gun ', # 0xd9
'Zhuan ', # 0xda
'Chan ', # 0xdb
'Qi ', # 0xdc
'Ao ', # 0xdd
'Peng ', # 0xde
'Lu ', # 0xdf
'Lu ', # 0xe0
'Kan ', # 0xe1
'Qiang ', # 0xe2
'Chen ', # 0xe3
'Yin ', # 0xe4
'Lei ', # 0xe5
'Biao ', # 0xe6
'Qi ', # 0xe7
'Mo ', # 0xe8
'Qi ', # 0xe9
'Cui ', # 0xea
'Zong ', # 0xeb
'Qing ', # 0xec
'Chuo ', # 0xed
'[?] ', # 0xee
'Ji ', # 0xef
'Shan ', # 0xf0
'Lao ', # 0xf1
'Qu ', # 0xf2
'Zeng ', # 0xf3
'Deng ', # 0xf4
'Jian ', # 0xf5
'Xi ', # 0xf6
'Lin ', # 0xf7
'Ding ', # 0xf8
'Dian ', # 0xf9
'Huang ', # 0xfa
'Pan ', # 0xfb
'Za ', # 0xfc
'Qiao ', # 0xfd
'Di ', # 0xfe
'Li ', # 0xff
)
x079 = (
'Tani ', # 0x00
'Jiao ', # 0x01
'[?] ', # 0x02
'Zhang ', # 0x03
'Qiao ', # 0x04
'Dun ', # 0x05
'Xian ', # 0x06
'Yu ', # 0x07
'Zhui ', # 0x08
'He ', # 0x09
'Huo ', # 0x0a
'Zhai ', # 0x0b
'Lei ', # 0x0c
'Ke ', # 0x0d
'Chu ', # 0x0e
'Ji ', # 0x0f
'Que ', # 0x10
'Dang ', # 0x11
'Yi ', # 0x12
'Jiang ', # 0x13
'Pi ', # 0x14
'Pi ', # 0x15
'Yu ', # 0x16
'Pin ', # 0x17
'Qi ', # 0x18
'Ai ', # 0x19
'Kai ', # 0x1a
'Jian ', # 0x1b
'Yu ', # 0x1c
'Ruan ', # 0x1d
'Meng ', # 0x1e
'Pao ', # 0x1f
'Ci ', # 0x20
'[?] ', # 0x21
'[?] ', # 0x22
'Mie ', # 0x23
'Ca ', # 0x24
'Xian ', # 0x25
'Kuang ', # 0x26
'Lei ', # 0x27
'Lei ', # 0x28
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'Zhai ', # 0x84
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'Gui ', # 0x90
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'Zhi ', # 0x92
'Chuang ', # 0x93
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'Jiao ', # 0x96
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'Cheng ', # 0x9a
'Kou ', # 0x9b
'Cuan ', # 0x9c
'Wo ', # 0x9d
'Dan ', # 0x9e
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'Su ', # 0xa3
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'Yu ', # 0xac
'Ju ', # 0xad
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'Yao ', # 0xb0
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'Yu ', # 0xb3
'Tian ', # 0xb4
'Diao ', # 0xb5
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'Liao ', # 0xb7
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'Wu ', # 0xb9
'Kui ', # 0xba
'Chuang ', # 0xbb
'Zhao ', # 0xbc
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'Cheng ', # 0xc0
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'Piao ', # 0xc2
'Zao ', # 0xc3
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'Qiao ', # 0xc5
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'Qie ', # 0xca
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'Chu ', # 0xcc
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'Fou ', # 0xce
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'Chu ', # 0xd0
'Hong ', # 0xd1
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'Shu ', # 0xd6
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'Ju ', # 0xd8
'Zhan ', # 0xd9
'Zhu ', # 0xda
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'Jing ', # 0xde
'Jing ', # 0xdf
'Zhang ', # 0xe0
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'Si ', # 0xe2
'Jun ', # 0xe3
'Hong ', # 0xe4
'Tong ', # 0xe5
'Song ', # 0xe6
'Jing ', # 0xe7
'Diao ', # 0xe8
'Yi ', # 0xe9
'Shu ', # 0xea
'Jing ', # 0xeb
'Qu ', # 0xec
'Jie ', # 0xed
'Ping ', # 0xee
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'Shao ', # 0xf0
'Zhuan ', # 0xf1
'Ceng ', # 0xf2
'Deng ', # 0xf3
'Cui ', # 0xf4
'Huai ', # 0xf5
'Jing ', # 0xf6
'Kan ', # 0xf7
'Jing ', # 0xf8
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'Zhu ', # 0xfa
'Le ', # 0xfb
'Peng ', # 0xfc
'Yu ', # 0xfd
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)
x07b = (
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'Utsubo ', # 0x02
'Du ', # 0x03
'Ji ', # 0x04
'Xiao ', # 0x05
'Ba ', # 0x06
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'Zhen ', # 0x09
'Zhao ', # 0x0a
'Sun ', # 0x0b
'Ya ', # 0x0c
'Zhui ', # 0x0d
'Yuan ', # 0x0e
'Hu ', # 0x0f
'Gang ', # 0x10
'Xiao ', # 0x11
'Cen ', # 0x12
'Pi ', # 0x13
'Bi ', # 0x14
'Jian ', # 0x15
'Yi ', # 0x16
'Dong ', # 0x17
'Shan ', # 0x18
'Sheng ', # 0x19
'Xia ', # 0x1a
'Di ', # 0x1b
'Zhu ', # 0x1c
'Na ', # 0x1d
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'Gu ', # 0x1f
'Li ', # 0x20
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'Min ', # 0x22
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'Fu ', # 0x26
'Ce ', # 0x27
'Ben ', # 0x28
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'Da ', # 0x2a
'Zi ', # 0x2b
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'Ling ', # 0x2d
'Ze ', # 0x2e
'Nu ', # 0x2f
'Fu ', # 0x30
'Gou ', # 0x31
'Fan ', # 0x32
'Jia ', # 0x33
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'Fan ', # 0x35
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'Mao ', # 0x37
'Po ', # 0x38
'Sey ', # 0x39
'Jian ', # 0x3a
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'Souke ', # 0x3d
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'Jiao ', # 0x4a
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'Zhong ', # 0x57
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'Yu ', # 0x8a
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'Zha ', # 0x9a
'Gu ', # 0x9b
'Kong ', # 0x9c
'Qian ', # 0x9d
'Quan ', # 0x9e
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'Chui ', # 0xa0
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'Ju ', # 0xa4
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'Qie ', # 0xa7
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'Dan ', # 0xaa
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'Ruo ', # 0xac
'Jian ', # 0xad
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'Xiang ', # 0xb1
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'Hou ', # 0xcc
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'Fei ', # 0xda
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'Zhu ', # 0xeb
'Qiang ', # 0xec
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'Pai ', # 0xfa
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'Dou ', # 0xfc
'Yu ', # 0xfd
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)
x07c = (
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'Yi ', # 0x03
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'Ji ', # 0x0a
'Gui ', # 0x0b
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'Lou ', # 0x0d
'Zha ', # 0x0e
'Lu ', # 0x0f
'Nian ', # 0x10
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'Cuan ', # 0x12
'Sasara ', # 0x13
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'Le ', # 0x15
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'Bo ', # 0x19
'Mi ', # 0x1a
'Si ', # 0x1b
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'Liao ', # 0x1d
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'Fu ', # 0x20
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'Qiao ', # 0x25
'Deng ', # 0x26
'Huang ', # 0x27
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'Lao ', # 0x29
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'Xiao ', # 0x2b
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'Lu ', # 0x5a
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'Long ', # 0x60
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'Guo ', # 0xbf
'Kouji ', # 0xc0
'San ', # 0xc1
'San ', # 0xc2
'Tang ', # 0xc3
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'Rou ', # 0xc5
'Mian ', # 0xc6
'Hou ', # 0xc7
'Xu ', # 0xc8
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'Hu ', # 0xca
'Jian ', # 0xcb
'Zan ', # 0xcc
'Ci ', # 0xcd
'Li ', # 0xce
'Xie ', # 0xcf
'Fu ', # 0xd0
'Ni ', # 0xd1
'Bei ', # 0xd2
'Gu ', # 0xd3
'Xiu ', # 0xd4
'Gao ', # 0xd5
'Tang ', # 0xd6
'Qiu ', # 0xd7
'Sukumo ', # 0xd8
'Cao ', # 0xd9
'Zhuang ', # 0xda
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'Mi ', # 0xdc
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'Fen ', # 0xde
'Zao ', # 0xdf
'Kang ', # 0xe0
'Jiang ', # 0xe1
'Mo ', # 0xe2
'San ', # 0xe3
'San ', # 0xe4
'Nuo ', # 0xe5
'Xi ', # 0xe6
'Liang ', # 0xe7
'Jiang ', # 0xe8
'Kuai ', # 0xe9
'Bo ', # 0xea
'Huan ', # 0xeb
'[?] ', # 0xec
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'Xian ', # 0xee
'Nuo ', # 0xef
'Tuan ', # 0xf0
'Nie ', # 0xf1
'Li ', # 0xf2
'Zuo ', # 0xf3
'Di ', # 0xf4
'Nie ', # 0xf5
'Tiao ', # 0xf6
'Lan ', # 0xf7
'Mi ', # 0xf8
'Jiao ', # 0xf9
'Jiu ', # 0xfa
'Xi ', # 0xfb
'Gong ', # 0xfc
'Zheng ', # 0xfd
'Jiu ', # 0xfe
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x07d = (
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'Cha ', # 0x01
'Zhou ', # 0x02
'Xun ', # 0x03
'Yue ', # 0x04
'Hong ', # 0x05
'Yu ', # 0x06
'He ', # 0x07
'Wan ', # 0x08
'Ren ', # 0x09
'Wen ', # 0x0a
'Wen ', # 0x0b
'Qiu ', # 0x0c
'Na ', # 0x0d
'Zi ', # 0x0e
'Tou ', # 0x0f
'Niu ', # 0x10
'Fou ', # 0x11
'Jie ', # 0x12
'Shu ', # 0x13
'Chun ', # 0x14
'Pi ', # 0x15
'Yin ', # 0x16
'Sha ', # 0x17
'Hong ', # 0x18
'Zhi ', # 0x19
'Ji ', # 0x1a
'Fen ', # 0x1b
'Yun ', # 0x1c
'Ren ', # 0x1d
'Dan ', # 0x1e
'Jin ', # 0x1f
'Su ', # 0x20
'Fang ', # 0x21
'Suo ', # 0x22
'Cui ', # 0x23
'Jiu ', # 0x24
'Zha ', # 0x25
'Kinu ', # 0x26
'Jin ', # 0x27
'Fu ', # 0x28
'Zhi ', # 0x29
'Ci ', # 0x2a
'Zi ', # 0x2b
'Chou ', # 0x2c
'Hong ', # 0x2d
'Zha ', # 0x2e
'Lei ', # 0x2f
'Xi ', # 0x30
'Fu ', # 0x31
'Xie ', # 0x32
'Shen ', # 0x33
'Bei ', # 0x34
'Zhu ', # 0x35
'Qu ', # 0x36
'Ling ', # 0x37
'Zhu ', # 0x38
'Shao ', # 0x39
'Gan ', # 0x3a
'Yang ', # 0x3b
'Fu ', # 0x3c
'Tuo ', # 0x3d
'Zhen ', # 0x3e
'Dai ', # 0x3f
'Zhuo ', # 0x40
'Shi ', # 0x41
'Zhong ', # 0x42
'Xian ', # 0x43
'Zu ', # 0x44
'Jiong ', # 0x45
'Ban ', # 0x46
'Ju ', # 0x47
'Mo ', # 0x48
'Shu ', # 0x49
'Zui ', # 0x4a
'Wata ', # 0x4b
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'Heng ', # 0x4e
'Xie ', # 0x4f
'Jie ', # 0x50
'Zhu ', # 0x51
'Chou ', # 0x52
'Gua ', # 0x53
'Bai ', # 0x54
'Jue ', # 0x55
'Kuang ', # 0x56
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'Ci ', # 0x58
'Geng ', # 0x59
'Geng ', # 0x5a
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'Xie ', # 0x5c
'Ku ', # 0x5d
'Jiao ', # 0x5e
'Quan ', # 0x5f
'Gai ', # 0x60
'Luo ', # 0x61
'Xuan ', # 0x62
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'Xian ', # 0x64
'Fu ', # 0x65
'Gei ', # 0x66
'Tong ', # 0x67
'Rong ', # 0x68
'Tiao ', # 0x69
'Yin ', # 0x6a
'Lei ', # 0x6b
'Xie ', # 0x6c
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'Tong ', # 0x71
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'Jiang ', # 0x73
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'Hui ', # 0x75
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'Zhi ', # 0x77
'Jian ', # 0x78
'Juan ', # 0x79
'Chi ', # 0x7a
'Mian ', # 0x7b
'Zhen ', # 0x7c
'Lu ', # 0x7d
'Cheng ', # 0x7e
'Qiu ', # 0x7f
'Shu ', # 0x80
'Bang ', # 0x81
'Tong ', # 0x82
'Xiao ', # 0x83
'Wan ', # 0x84
'Qin ', # 0x85
'Geng ', # 0x86
'Xiu ', # 0x87
'Ti ', # 0x88
'Xiu ', # 0x89
'Xie ', # 0x8a
'Hong ', # 0x8b
'Xi ', # 0x8c
'Fu ', # 0x8d
'Ting ', # 0x8e
'Sui ', # 0x8f
'Dui ', # 0x90
'Kun ', # 0x91
'Fu ', # 0x92
'Jing ', # 0x93
'Hu ', # 0x94
'Zhi ', # 0x95
'Yan ', # 0x96
'Jiong ', # 0x97
'Feng ', # 0x98
'Ji ', # 0x99
'Sok ', # 0x9a
'Kase ', # 0x9b
'Zong ', # 0x9c
'Lin ', # 0x9d
'Duo ', # 0x9e
'Li ', # 0x9f
'Lu ', # 0xa0
'Liang ', # 0xa1
'Chou ', # 0xa2
'Quan ', # 0xa3
'Shao ', # 0xa4
'Qi ', # 0xa5
'Qi ', # 0xa6
'Zhun ', # 0xa7
'Qi ', # 0xa8
'Wan ', # 0xa9
'Qian ', # 0xaa
'Xian ', # 0xab
'Shou ', # 0xac
'Wei ', # 0xad
'Qi ', # 0xae
'Tao ', # 0xaf
'Wan ', # 0xb0
'Gang ', # 0xb1
'Wang ', # 0xb2
'Beng ', # 0xb3
'Zhui ', # 0xb4
'Cai ', # 0xb5
'Guo ', # 0xb6
'Cui ', # 0xb7
'Lun ', # 0xb8
'Liu ', # 0xb9
'Qi ', # 0xba
'Zhan ', # 0xbb
'Bei ', # 0xbc
'Chuo ', # 0xbd
'Ling ', # 0xbe
'Mian ', # 0xbf
'Qi ', # 0xc0
'Qie ', # 0xc1
'Tan ', # 0xc2
'Zong ', # 0xc3
'Gun ', # 0xc4
'Zou ', # 0xc5
'Yi ', # 0xc6
'Zi ', # 0xc7
'Xing ', # 0xc8
'Liang ', # 0xc9
'Jin ', # 0xca
'Fei ', # 0xcb
'Rui ', # 0xcc
'Min ', # 0xcd
'Yu ', # 0xce
'Zong ', # 0xcf
'Fan ', # 0xd0
'Lu ', # 0xd1
'Xu ', # 0xd2
'Yingl ', # 0xd3
'Zhang ', # 0xd4
'Kasuri ', # 0xd5
'Xu ', # 0xd6
'Xiang ', # 0xd7
'Jian ', # 0xd8
'Ke ', # 0xd9
'Xian ', # 0xda
'Ruan ', # 0xdb
'Mian ', # 0xdc
'Qi ', # 0xdd
'Duan ', # 0xde
'Zhong ', # 0xdf
'Di ', # 0xe0
'Min ', # 0xe1
'Miao ', # 0xe2
'Yuan ', # 0xe3
'Xie ', # 0xe4
'Bao ', # 0xe5
'Si ', # 0xe6
'Qiu ', # 0xe7
'Bian ', # 0xe8
'Huan ', # 0xe9
'Geng ', # 0xea
'Cong ', # 0xeb
'Mian ', # 0xec
'Wei ', # 0xed
'Fu ', # 0xee
'Wei ', # 0xef
'Yu ', # 0xf0
'Gou ', # 0xf1
'Miao ', # 0xf2
'Xie ', # 0xf3
'Lian ', # 0xf4
'Zong ', # 0xf5
'Bian ', # 0xf6
'Yun ', # 0xf7
'Yin ', # 0xf8
'Ti ', # 0xf9
'Gua ', # 0xfa
'Zhi ', # 0xfb
'Yun ', # 0xfc
'Cheng ', # 0xfd
'Chan ', # 0xfe
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)
x07e = (
'Xia ', # 0x00
'Yuan ', # 0x01
'Zong ', # 0x02
'Xu ', # 0x03
'Nawa ', # 0x04
'Odoshi ', # 0x05
'Geng ', # 0x06
'Sen ', # 0x07
'Ying ', # 0x08
'Jin ', # 0x09
'Yi ', # 0x0a
'Zhui ', # 0x0b
'Ni ', # 0x0c
'Bang ', # 0x0d
'Gu ', # 0x0e
'Pan ', # 0x0f
'Zhou ', # 0x10
'Jian ', # 0x11
'Cuo ', # 0x12
'Quan ', # 0x13
'Shuang ', # 0x14
'Yun ', # 0x15
'Xia ', # 0x16
'Shuai ', # 0x17
'Xi ', # 0x18
'Rong ', # 0x19
'Tao ', # 0x1a
'Fu ', # 0x1b
'Yun ', # 0x1c
'Zhen ', # 0x1d
'Gao ', # 0x1e
'Ru ', # 0x1f
'Hu ', # 0x20
'Zai ', # 0x21
'Teng ', # 0x22
'Xian ', # 0x23
'Su ', # 0x24
'Zhen ', # 0x25
'Zong ', # 0x26
'Tao ', # 0x27
'Horo ', # 0x28
'Cai ', # 0x29
'Bi ', # 0x2a
'Feng ', # 0x2b
'Cu ', # 0x2c
'Li ', # 0x2d
'Suo ', # 0x2e
'Yin ', # 0x2f
'Xi ', # 0x30
'Zong ', # 0x31
'Lei ', # 0x32
'Zhuan ', # 0x33
'Qian ', # 0x34
'Man ', # 0x35
'Zhi ', # 0x36
'Lu ', # 0x37
'Mo ', # 0x38
'Piao ', # 0x39
'Lian ', # 0x3a
'Mi ', # 0x3b
'Xuan ', # 0x3c
'Zong ', # 0x3d
'Ji ', # 0x3e
'Shan ', # 0x3f
'Sui ', # 0x40
'Fan ', # 0x41
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'Beng ', # 0x43
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'Mou ', # 0x46
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'Zuo ', # 0x53
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'Lin ', # 0x57
'Yu ', # 0x58
'Fan ', # 0x59
'Liao ', # 0x5a
'Chuo ', # 0x5b
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'Chan ', # 0x5f
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'Da ', # 0x68
'Sheng ', # 0x69
'Hui ', # 0x6a
'Xi ', # 0x6b
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'Jian ', # 0x6d
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'Cong ', # 0x71
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'Jiao ', # 0x73
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'Nao ', # 0x77
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'Yi ', # 0x79
'Shai ', # 0x7a
'Xu ', # 0x7b
'Ji ', # 0x7c
'Bin ', # 0x7d
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'Lan ', # 0x7f
'Pu ', # 0x80
'Xun ', # 0x81
'Zuan ', # 0x82
'Qi ', # 0x83
'Peng ', # 0x84
'Li ', # 0x85
'Mo ', # 0x86
'Lei ', # 0x87
'Xie ', # 0x88
'Zuan ', # 0x89
'Kuang ', # 0x8a
'You ', # 0x8b
'Xu ', # 0x8c
'Lei ', # 0x8d
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'Chan ', # 0x8f
'Kou ', # 0x90
'Lu ', # 0x91
'Chan ', # 0x92
'Ying ', # 0x93
'Cai ', # 0x94
'Xiang ', # 0x95
'Xian ', # 0x96
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'Zuan ', # 0x98
'Luo ', # 0x99
'Xi ', # 0x9a
'Dao ', # 0x9b
'Lan ', # 0x9c
'Lei ', # 0x9d
'Lian ', # 0x9e
'Si ', # 0x9f
'Jiu ', # 0xa0
'Yu ', # 0xa1
'Hong ', # 0xa2
'Zhou ', # 0xa3
'Xian ', # 0xa4
'He ', # 0xa5
'Yue ', # 0xa6
'Ji ', # 0xa7
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'Kuang ', # 0xa9
'Ji ', # 0xaa
'Ren ', # 0xab
'Wei ', # 0xac
'Yun ', # 0xad
'Hong ', # 0xae
'Chun ', # 0xaf
'Pi ', # 0xb0
'Sha ', # 0xb1
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'Na ', # 0xb3
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'Zong ', # 0xb5
'Lun ', # 0xb6
'Fen ', # 0xb7
'Zhi ', # 0xb8
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'Fang ', # 0xba
'Zhu ', # 0xbb
'Yin ', # 0xbc
'Niu ', # 0xbd
'Shu ', # 0xbe
'Xian ', # 0xbf
'Gan ', # 0xc0
'Xie ', # 0xc1
'Fu ', # 0xc2
'Lian ', # 0xc3
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'Shen ', # 0xc5
'Xi ', # 0xc6
'Zhi ', # 0xc7
'Zhong ', # 0xc8
'Zhou ', # 0xc9
'Ban ', # 0xca
'Fu ', # 0xcb
'Zhuo ', # 0xcc
'Shao ', # 0xcd
'Yi ', # 0xce
'Jing ', # 0xcf
'Dai ', # 0xd0
'Bang ', # 0xd1
'Rong ', # 0xd2
'Jie ', # 0xd3
'Ku ', # 0xd4
'Rao ', # 0xd5
'Die ', # 0xd6
'Heng ', # 0xd7
'Hui ', # 0xd8
'Gei ', # 0xd9
'Xuan ', # 0xda
'Jiang ', # 0xdb
'Luo ', # 0xdc
'Jue ', # 0xdd
'Jiao ', # 0xde
'Tong ', # 0xdf
'Geng ', # 0xe0
'Xiao ', # 0xe1
'Juan ', # 0xe2
'Xiu ', # 0xe3
'Xi ', # 0xe4
'Sui ', # 0xe5
'Tao ', # 0xe6
'Ji ', # 0xe7
'Ti ', # 0xe8
'Ji ', # 0xe9
'Xu ', # 0xea
'Ling ', # 0xeb
'[?] ', # 0xec
'Xu ', # 0xed
'Qi ', # 0xee
'Fei ', # 0xef
'Chuo ', # 0xf0
'Zhang ', # 0xf1
'Gun ', # 0xf2
'Sheng ', # 0xf3
'Wei ', # 0xf4
'Mian ', # 0xf5
'Shou ', # 0xf6
'Beng ', # 0xf7
'Chou ', # 0xf8
'Tao ', # 0xf9
'Liu ', # 0xfa
'Quan ', # 0xfb
'Zong ', # 0xfc
'Zhan ', # 0xfd
'Wan ', # 0xfe
'Lu ', # 0xff
)
x07f = (
'Zhui ', # 0x00
'Zi ', # 0x01
'Ke ', # 0x02
'Xiang ', # 0x03
'Jian ', # 0x04
'Mian ', # 0x05
'Lan ', # 0x06
'Ti ', # 0x07
'Miao ', # 0x08
'Qi ', # 0x09
'Yun ', # 0x0a
'Hui ', # 0x0b
'Si ', # 0x0c
'Duo ', # 0x0d
'Duan ', # 0x0e
'Bian ', # 0x0f
'Xian ', # 0x10
'Gou ', # 0x11
'Zhui ', # 0x12
'Huan ', # 0x13
'Di ', # 0x14
'Lu ', # 0x15
'Bian ', # 0x16
'Min ', # 0x17
'Yuan ', # 0x18
'Jin ', # 0x19
'Fu ', # 0x1a
'Ru ', # 0x1b
'Zhen ', # 0x1c
'Feng ', # 0x1d
'Shuai ', # 0x1e
'Gao ', # 0x1f
'Chan ', # 0x20
'Li ', # 0x21
'Yi ', # 0x22
'Jian ', # 0x23
'Bin ', # 0x24
'Piao ', # 0x25
'Man ', # 0x26
'Lei ', # 0x27
'Ying ', # 0x28
'Suo ', # 0x29
'Mou ', # 0x2a
'Sao ', # 0x2b
'Xie ', # 0x2c
'Liao ', # 0x2d
'Shan ', # 0x2e
'Zeng ', # 0x2f
'Jiang ', # 0x30
'Qian ', # 0x31
'Zao ', # 0x32
'Huan ', # 0x33
'Jiao ', # 0x34
'Zuan ', # 0x35
'Fou ', # 0x36
'Xie ', # 0x37
'Gang ', # 0x38
'Fou ', # 0x39
'Que ', # 0x3a
'Fou ', # 0x3b
'Kaakeru ', # 0x3c
'Bo ', # 0x3d
'Ping ', # 0x3e
'Hou ', # 0x3f
'[?] ', # 0x40
'Gang ', # 0x41
'Ying ', # 0x42
'Ying ', # 0x43
'Qing ', # 0x44
'Xia ', # 0x45
'Guan ', # 0x46
'Zun ', # 0x47
'Tan ', # 0x48
'Chang ', # 0x49
'Qi ', # 0x4a
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'Lei ', # 0x4d
'Tan ', # 0x4e
'Lu ', # 0x4f
'Guan ', # 0x50
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'Wang ', # 0x52
'Gang ', # 0x53
'Wang ', # 0x54
'Han ', # 0x55
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'Mi ', # 0x59
'Fa ', # 0x5a
'Gu ', # 0x5b
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'Min ', # 0x60
'Gang ', # 0x61
'Ba ', # 0x62
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'Juan ', # 0x65
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'Lin ', # 0x67
'Yan ', # 0x68
'Zhao ', # 0x69
'Zui ', # 0x6a
'Gua ', # 0x6b
'Zhuo ', # 0x6c
'Yu ', # 0x6d
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'Nan ', # 0x71
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'Si ', # 0x73
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'Ma ', # 0x75
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'Fa ', # 0x78
'Li ', # 0x79
'Chao ', # 0x7a
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'Ji ', # 0x7d
'Zeng ', # 0x7e
'Tong ', # 0x7f
'Liu ', # 0x80
'Ji ', # 0x81
'Juan ', # 0x82
'Mi ', # 0x83
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x089 = (
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'Chu ', # 0x1a
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'Hitoe ', # 0x1d
'Yun ', # 0x1e
'Da ', # 0x1f
'Gou ', # 0x20
'Da ', # 0x21
'Huai ', # 0x22
'Rong ', # 0x23
'Yuan ', # 0x24
'Ru ', # 0x25
'Nai ', # 0x26
'Jiong ', # 0x27
'Suo ', # 0x28
'Ban ', # 0x29
'Tun ', # 0x2a
'Chi ', # 0x2b
'Sang ', # 0x2c
'Niao ', # 0x2d
'Ying ', # 0x2e
'Jie ', # 0x2f
'Qian ', # 0x30
'Huai ', # 0x31
'Ku ', # 0x32
'Lian ', # 0x33
'Bao ', # 0x34
'Li ', # 0x35
'Zhe ', # 0x36
'Shi ', # 0x37
'Lu ', # 0x38
'Yi ', # 0x39
'Die ', # 0x3a
'Xie ', # 0x3b
'Xian ', # 0x3c
'Wei ', # 0x3d
'Biao ', # 0x3e
'Cao ', # 0x3f
'Ji ', # 0x40
'Jiang ', # 0x41
'Sen ', # 0x42
'Bao ', # 0x43
'Xiang ', # 0x44
'Chihaya ', # 0x45
'Pu ', # 0x46
'Jian ', # 0x47
'Zhuan ', # 0x48
'Jian ', # 0x49
'Zui ', # 0x4a
'Ji ', # 0x4b
'Dan ', # 0x4c
'Za ', # 0x4d
'Fan ', # 0x4e
'Bo ', # 0x4f
'Xiang ', # 0x50
'Xin ', # 0x51
'Bie ', # 0x52
'Rao ', # 0x53
'Man ', # 0x54
'Lan ', # 0x55
'Ao ', # 0x56
'Duo ', # 0x57
'Gui ', # 0x58
'Cao ', # 0x59
'Sui ', # 0x5a
'Nong ', # 0x5b
'Chan ', # 0x5c
'Lian ', # 0x5d
'Bi ', # 0x5e
'Jin ', # 0x5f
'Dang ', # 0x60
'Shu ', # 0x61
'Tan ', # 0x62
'Bi ', # 0x63
'Lan ', # 0x64
'Pu ', # 0x65
'Ru ', # 0x66
'Zhi ', # 0x67
'[?] ', # 0x68
'Shu ', # 0x69
'Wa ', # 0x6a
'Shi ', # 0x6b
'Bai ', # 0x6c
'Xie ', # 0x6d
'Bo ', # 0x6e
'Chen ', # 0x6f
'Lai ', # 0x70
'Long ', # 0x71
'Xi ', # 0x72
'Xian ', # 0x73
'Lan ', # 0x74
'Zhe ', # 0x75
'Dai ', # 0x76
'Tasuki ', # 0x77
'Zan ', # 0x78
'Shi ', # 0x79
'Jian ', # 0x7a
'Pan ', # 0x7b
'Yi ', # 0x7c
'Ran ', # 0x7d
'Ya ', # 0x7e
'Xi ', # 0x7f
'Xi ', # 0x80
'Yao ', # 0x81
'Feng ', # 0x82
'Tan ', # 0x83
'[?] ', # 0x84
'Biao ', # 0x85
'Fu ', # 0x86
'Ba ', # 0x87
'He ', # 0x88
'Ji ', # 0x89
'Ji ', # 0x8a
'Jian ', # 0x8b
'Guan ', # 0x8c
'Bian ', # 0x8d
'Yan ', # 0x8e
'Gui ', # 0x8f
'Jue ', # 0x90
'Pian ', # 0x91
'Mao ', # 0x92
'Mi ', # 0x93
'Mi ', # 0x94
'Mie ', # 0x95
'Shi ', # 0x96
'Si ', # 0x97
'Zhan ', # 0x98
'Luo ', # 0x99
'Jue ', # 0x9a
'Mi ', # 0x9b
'Tiao ', # 0x9c
'Lian ', # 0x9d
'Yao ', # 0x9e
'Zhi ', # 0x9f
'Jun ', # 0xa0
'Xi ', # 0xa1
'Shan ', # 0xa2
'Wei ', # 0xa3
'Xi ', # 0xa4
'Tian ', # 0xa5
'Yu ', # 0xa6
'Lan ', # 0xa7
'E ', # 0xa8
'Du ', # 0xa9
'Qin ', # 0xaa
'Pang ', # 0xab
'Ji ', # 0xac
'Ming ', # 0xad
'Ying ', # 0xae
'Gou ', # 0xaf
'Qu ', # 0xb0
'Zhan ', # 0xb1
'Jin ', # 0xb2
'Guan ', # 0xb3
'Deng ', # 0xb4
'Jian ', # 0xb5
'Luo ', # 0xb6
'Qu ', # 0xb7
'Jian ', # 0xb8
'Wei ', # 0xb9
'Jue ', # 0xba
'Qu ', # 0xbb
'Luo ', # 0xbc
'Lan ', # 0xbd
'Shen ', # 0xbe
'Di ', # 0xbf
'Guan ', # 0xc0
'Jian ', # 0xc1
'Guan ', # 0xc2
'Yan ', # 0xc3
'Gui ', # 0xc4
'Mi ', # 0xc5
'Shi ', # 0xc6
'Zhan ', # 0xc7
'Lan ', # 0xc8
'Jue ', # 0xc9
'Ji ', # 0xca
'Xi ', # 0xcb
'Di ', # 0xcc
'Tian ', # 0xcd
'Yu ', # 0xce
'Gou ', # 0xcf
'Jin ', # 0xd0
'Qu ', # 0xd1
'Jiao ', # 0xd2
'Jiu ', # 0xd3
'Jin ', # 0xd4
'Cu ', # 0xd5
'Jue ', # 0xd6
'Zhi ', # 0xd7
'Chao ', # 0xd8
'Ji ', # 0xd9
'Gu ', # 0xda
'Dan ', # 0xdb
'Zui ', # 0xdc
'Di ', # 0xdd
'Shang ', # 0xde
'Hua ', # 0xdf
'Quan ', # 0xe0
'Ge ', # 0xe1
'Chi ', # 0xe2
'Jie ', # 0xe3
'Gui ', # 0xe4
'Gong ', # 0xe5
'Hong ', # 0xe6
'Jie ', # 0xe7
'Hun ', # 0xe8
'Qiu ', # 0xe9
'Xing ', # 0xea
'Su ', # 0xeb
'Ni ', # 0xec
'Ji ', # 0xed
'Lu ', # 0xee
'Zhi ', # 0xef
'Zha ', # 0xf0
'Bi ', # 0xf1
'Xing ', # 0xf2
'Hu ', # 0xf3
'Shang ', # 0xf4
'Gong ', # 0xf5
'Zhi ', # 0xf6
'Xue ', # 0xf7
'Chu ', # 0xf8
'Xi ', # 0xf9
'Yi ', # 0xfa
'Lu ', # 0xfb
'Jue ', # 0xfc
'Xi ', # 0xfd
'Yan ', # 0xfe
'Xi ', # 0xff
)
x08a = (
'Yan ', # 0x00
'Yan ', # 0x01
'Ding ', # 0x02
'Fu ', # 0x03
'Qiu ', # 0x04
'Qiu ', # 0x05
'Jiao ', # 0x06
'Hong ', # 0x07
'Ji ', # 0x08
'Fan ', # 0x09
'Xun ', # 0x0a
'Diao ', # 0x0b
'Hong ', # 0x0c
'Cha ', # 0x0d
'Tao ', # 0x0e
'Xu ', # 0x0f
'Jie ', # 0x10
'Yi ', # 0x11
'Ren ', # 0x12
'Xun ', # 0x13
'Yin ', # 0x14
'Shan ', # 0x15
'Qi ', # 0x16
'Tuo ', # 0x17
'Ji ', # 0x18
'Xun ', # 0x19
'Yin ', # 0x1a
'E ', # 0x1b
'Fen ', # 0x1c
'Ya ', # 0x1d
'Yao ', # 0x1e
'Song ', # 0x1f
'Shen ', # 0x20
'Yin ', # 0x21
'Xin ', # 0x22
'Jue ', # 0x23
'Xiao ', # 0x24
'Ne ', # 0x25
'Chen ', # 0x26
'You ', # 0x27
'Zhi ', # 0x28
'Xiong ', # 0x29
'Fang ', # 0x2a
'Xin ', # 0x2b
'Chao ', # 0x2c
'She ', # 0x2d
'Xian ', # 0x2e
'Sha ', # 0x2f
'Tun ', # 0x30
'Xu ', # 0x31
'Yi ', # 0x32
'Yi ', # 0x33
'Su ', # 0x34
'Chi ', # 0x35
'He ', # 0x36
'Shen ', # 0x37
'He ', # 0x38
'Xu ', # 0x39
'Zhen ', # 0x3a
'Zhu ', # 0x3b
'Zheng ', # 0x3c
'Gou ', # 0x3d
'Zi ', # 0x3e
'Zi ', # 0x3f
'Zhan ', # 0x40
'Gu ', # 0x41
'Fu ', # 0x42
'Quan ', # 0x43
'Die ', # 0x44
'Ling ', # 0x45
'Di ', # 0x46
'Yang ', # 0x47
'Li ', # 0x48
'Nao ', # 0x49
'Pan ', # 0x4a
'Zhou ', # 0x4b
'Gan ', # 0x4c
'Yi ', # 0x4d
'Ju ', # 0x4e
'Ao ', # 0x4f
'Zha ', # 0x50
'Tuo ', # 0x51
'Yi ', # 0x52
'Qu ', # 0x53
'Zhao ', # 0x54
'Ping ', # 0x55
'Bi ', # 0x56
'Xiong ', # 0x57
'Qu ', # 0x58
'Ba ', # 0x59
'Da ', # 0x5a
'Zu ', # 0x5b
'Tao ', # 0x5c
'Zhu ', # 0x5d
'Ci ', # 0x5e
'Zhe ', # 0x5f
'Yong ', # 0x60
'Xu ', # 0x61
'Xun ', # 0x62
'Yi ', # 0x63
'Huang ', # 0x64
'He ', # 0x65
'Shi ', # 0x66
'Cha ', # 0x67
'Jiao ', # 0x68
'Shi ', # 0x69
'Hen ', # 0x6a
'Cha ', # 0x6b
'Gou ', # 0x6c
'Gui ', # 0x6d
'Quan ', # 0x6e
'Hui ', # 0x6f
'Jie ', # 0x70
'Hua ', # 0x71
'Gai ', # 0x72
'Xiang ', # 0x73
'Wei ', # 0x74
'Shen ', # 0x75
'Chou ', # 0x76
'Tong ', # 0x77
'Mi ', # 0x78
'Zhan ', # 0x79
'Ming ', # 0x7a
'E ', # 0x7b
'Hui ', # 0x7c
'Yan ', # 0x7d
'Xiong ', # 0x7e
'Gua ', # 0x7f
'Er ', # 0x80
'Beng ', # 0x81
'Tiao ', # 0x82
'Chi ', # 0x83
'Lei ', # 0x84
'Zhu ', # 0x85
'Kuang ', # 0x86
'Kua ', # 0x87
'Wu ', # 0x88
'Yu ', # 0x89
'Teng ', # 0x8a
'Ji ', # 0x8b
'Zhi ', # 0x8c
'Ren ', # 0x8d
'Su ', # 0x8e
'Lang ', # 0x8f
'E ', # 0x90
'Kuang ', # 0x91
'E ', # 0x92
'Shi ', # 0x93
'Ting ', # 0x94
'Dan ', # 0x95
'Bo ', # 0x96
'Chan ', # 0x97
'You ', # 0x98
'Heng ', # 0x99
'Qiao ', # 0x9a
'Qin ', # 0x9b
'Shua ', # 0x9c
'An ', # 0x9d
'Yu ', # 0x9e
'Xiao ', # 0x9f
'Cheng ', # 0xa0
'Jie ', # 0xa1
'Xian ', # 0xa2
'Wu ', # 0xa3
'Wu ', # 0xa4
'Gao ', # 0xa5
'Song ', # 0xa6
'Pu ', # 0xa7
'Hui ', # 0xa8
'Jing ', # 0xa9
'Shuo ', # 0xaa
'Zhen ', # 0xab
'Shuo ', # 0xac
'Du ', # 0xad
'Yasashi ', # 0xae
'Chang ', # 0xaf
'Shui ', # 0xb0
'Jie ', # 0xb1
'Ke ', # 0xb2
'Qu ', # 0xb3
'Cong ', # 0xb4
'Xiao ', # 0xb5
'Sui ', # 0xb6
'Wang ', # 0xb7
'Xuan ', # 0xb8
'Fei ', # 0xb9
'Chi ', # 0xba
'Ta ', # 0xbb
'Yi ', # 0xbc
'Na ', # 0xbd
'Yin ', # 0xbe
'Diao ', # 0xbf
'Pi ', # 0xc0
'Chuo ', # 0xc1
'Chan ', # 0xc2
'Chen ', # 0xc3
'Zhun ', # 0xc4
'Ji ', # 0xc5
'Qi ', # 0xc6
'Tan ', # 0xc7
'Zhui ', # 0xc8
'Wei ', # 0xc9
'Ju ', # 0xca
'Qing ', # 0xcb
'Jian ', # 0xcc
'Zheng ', # 0xcd
'Ze ', # 0xce
'Zou ', # 0xcf
'Qian ', # 0xd0
'Zhuo ', # 0xd1
'Liang ', # 0xd2
'Jian ', # 0xd3
'Zhu ', # 0xd4
'Hao ', # 0xd5
'Lun ', # 0xd6
'Shen ', # 0xd7
'Biao ', # 0xd8
'Huai ', # 0xd9
'Pian ', # 0xda
'Yu ', # 0xdb
'Die ', # 0xdc
'Xu ', # 0xdd
'Pian ', # 0xde
'Shi ', # 0xdf
'Xuan ', # 0xe0
'Shi ', # 0xe1
'Hun ', # 0xe2
'Hua ', # 0xe3
'E ', # 0xe4
'Zhong ', # 0xe5
'Di ', # 0xe6
'Xie ', # 0xe7
'Fu ', # 0xe8
'Pu ', # 0xe9
'Ting ', # 0xea
'Jian ', # 0xeb
'Qi ', # 0xec
'Yu ', # 0xed
'Zi ', # 0xee
'Chuan ', # 0xef
'Xi ', # 0xf0
'Hui ', # 0xf1
'Yin ', # 0xf2
'An ', # 0xf3
'Xian ', # 0xf4
'Nan ', # 0xf5
'Chen ', # 0xf6
'Feng ', # 0xf7
'Zhu ', # 0xf8
'Yang ', # 0xf9
'Yan ', # 0xfa
'Heng ', # 0xfb
'Xuan ', # 0xfc
'Ge ', # 0xfd
'Nuo ', # 0xfe
'Qi ', # 0xff
)
x08b = (
'Mou ', # 0x00
'Ye ', # 0x01
'Wei ', # 0x02
'[?] ', # 0x03
'Teng ', # 0x04
'Zou ', # 0x05
'Shan ', # 0x06
'Jian ', # 0x07
'Bo ', # 0x08
'Ku ', # 0x09
'Huang ', # 0x0a
'Huo ', # 0x0b
'Ge ', # 0x0c
'Ying ', # 0x0d
'Mi ', # 0x0e
'Xiao ', # 0x0f
'Mi ', # 0x10
'Xi ', # 0x11
'Qiang ', # 0x12
'Chen ', # 0x13
'Nue ', # 0x14
'Ti ', # 0x15
'Su ', # 0x16
'Bang ', # 0x17
'Chi ', # 0x18
'Qian ', # 0x19
'Shi ', # 0x1a
'Jiang ', # 0x1b
'Yuan ', # 0x1c
'Xie ', # 0x1d
'Xue ', # 0x1e
'Tao ', # 0x1f
'Yao ', # 0x20
'Yao ', # 0x21
'[?] ', # 0x22
'Yu ', # 0x23
'Biao ', # 0x24
'Cong ', # 0x25
'Qing ', # 0x26
'Li ', # 0x27
'Mo ', # 0x28
'Mo ', # 0x29
'Shang ', # 0x2a
'Zhe ', # 0x2b
'Miu ', # 0x2c
'Jian ', # 0x2d
'Ze ', # 0x2e
'Jie ', # 0x2f
'Lian ', # 0x30
'Lou ', # 0x31
'Can ', # 0x32
'Ou ', # 0x33
'Guan ', # 0x34
'Xi ', # 0x35
'Zhuo ', # 0x36
'Ao ', # 0x37
'Ao ', # 0x38
'Jin ', # 0x39
'Zhe ', # 0x3a
'Yi ', # 0x3b
'Hu ', # 0x3c
'Jiang ', # 0x3d
'Man ', # 0x3e
'Chao ', # 0x3f
'Han ', # 0x40
'Hua ', # 0x41
'Chan ', # 0x42
'Xu ', # 0x43
'Zeng ', # 0x44
'Se ', # 0x45
'Xi ', # 0x46
'She ', # 0x47
'Dui ', # 0x48
'Zheng ', # 0x49
'Nao ', # 0x4a
'Lan ', # 0x4b
'E ', # 0x4c
'Ying ', # 0x4d
'Jue ', # 0x4e
'Ji ', # 0x4f
'Zun ', # 0x50
'Jiao ', # 0x51
'Bo ', # 0x52
'Hui ', # 0x53
'Zhuan ', # 0x54
'Mu ', # 0x55
'Zen ', # 0x56
'Zha ', # 0x57
'Shi ', # 0x58
'Qiao ', # 0x59
'Tan ', # 0x5a
'Zen ', # 0x5b
'Pu ', # 0x5c
'Sheng ', # 0x5d
'Xuan ', # 0x5e
'Zao ', # 0x5f
'Tan ', # 0x60
'Dang ', # 0x61
'Sui ', # 0x62
'Qian ', # 0x63
'Ji ', # 0x64
'Jiao ', # 0x65
'Jing ', # 0x66
'Lian ', # 0x67
'Nou ', # 0x68
'Yi ', # 0x69
'Ai ', # 0x6a
'Zhan ', # 0x6b
'Pi ', # 0x6c
'Hui ', # 0x6d
'Hua ', # 0x6e
'Yi ', # 0x6f
'Yi ', # 0x70
'Shan ', # 0x71
'Rang ', # 0x72
'Nou ', # 0x73
'Qian ', # 0x74
'Zhui ', # 0x75
'Ta ', # 0x76
'Hu ', # 0x77
'Zhou ', # 0x78
'Hao ', # 0x79
'Ye ', # 0x7a
'Ying ', # 0x7b
'Jian ', # 0x7c
'Yu ', # 0x7d
'Jian ', # 0x7e
'Hui ', # 0x7f
'Du ', # 0x80
'Zhe ', # 0x81
'Xuan ', # 0x82
'Zan ', # 0x83
'Lei ', # 0x84
'Shen ', # 0x85
'Wei ', # 0x86
'Chan ', # 0x87
'Li ', # 0x88
'Yi ', # 0x89
'Bian ', # 0x8a
'Zhe ', # 0x8b
'Yan ', # 0x8c
'E ', # 0x8d
'Chou ', # 0x8e
'Wei ', # 0x8f
'Chou ', # 0x90
'Yao ', # 0x91
'Chan ', # 0x92
'Rang ', # 0x93
'Yin ', # 0x94
'Lan ', # 0x95
'Chen ', # 0x96
'Huo ', # 0x97
'Zhe ', # 0x98
'Huan ', # 0x99
'Zan ', # 0x9a
'Yi ', # 0x9b
'Dang ', # 0x9c
'Zhan ', # 0x9d
'Yan ', # 0x9e
'Du ', # 0x9f
'Yan ', # 0xa0
'Ji ', # 0xa1
'Ding ', # 0xa2
'Fu ', # 0xa3
'Ren ', # 0xa4
'Ji ', # 0xa5
'Jie ', # 0xa6
'Hong ', # 0xa7
'Tao ', # 0xa8
'Rang ', # 0xa9
'Shan ', # 0xaa
'Qi ', # 0xab
'Tuo ', # 0xac
'Xun ', # 0xad
'Yi ', # 0xae
'Xun ', # 0xaf
'Ji ', # 0xb0
'Ren ', # 0xb1
'Jiang ', # 0xb2
'Hui ', # 0xb3
'Ou ', # 0xb4
'Ju ', # 0xb5
'Ya ', # 0xb6
'Ne ', # 0xb7
'Xu ', # 0xb8
'E ', # 0xb9
'Lun ', # 0xba
'Xiong ', # 0xbb
'Song ', # 0xbc
'Feng ', # 0xbd
'She ', # 0xbe
'Fang ', # 0xbf
'Jue ', # 0xc0
'Zheng ', # 0xc1
'Gu ', # 0xc2
'He ', # 0xc3
'Ping ', # 0xc4
'Zu ', # 0xc5
'Shi ', # 0xc6
'Xiong ', # 0xc7
'Zha ', # 0xc8
'Su ', # 0xc9
'Zhen ', # 0xca
'Di ', # 0xcb
'Zou ', # 0xcc
'Ci ', # 0xcd
'Qu ', # 0xce
'Zhao ', # 0xcf
'Bi ', # 0xd0
'Yi ', # 0xd1
'Yi ', # 0xd2
'Kuang ', # 0xd3
'Lei ', # 0xd4
'Shi ', # 0xd5
'Gua ', # 0xd6
'Shi ', # 0xd7
'Jie ', # 0xd8
'Hui ', # 0xd9
'Cheng ', # 0xda
'Zhu ', # 0xdb
'Shen ', # 0xdc
'Hua ', # 0xdd
'Dan ', # 0xde
'Gou ', # 0xdf
'Quan ', # 0xe0
'Gui ', # 0xe1
'Xun ', # 0xe2
'Yi ', # 0xe3
'Zheng ', # 0xe4
'Gai ', # 0xe5
'Xiang ', # 0xe6
'Cha ', # 0xe7
'Hun ', # 0xe8
'Xu ', # 0xe9
'Zhou ', # 0xea
'Jie ', # 0xeb
'Wu ', # 0xec
'Yu ', # 0xed
'Qiao ', # 0xee
'Wu ', # 0xef
'Gao ', # 0xf0
'You ', # 0xf1
'Hui ', # 0xf2
'Kuang ', # 0xf3
'Shuo ', # 0xf4
'Song ', # 0xf5
'Ai ', # 0xf6
'Qing ', # 0xf7
'Zhu ', # 0xf8
'Zou ', # 0xf9
'Nuo ', # 0xfa
'Du ', # 0xfb
'Zhuo ', # 0xfc
'Fei ', # 0xfd
'Ke ', # 0xfe
'Wei ', # 0xff
)
x08c = (
'Yu ', # 0x00
'Shui ', # 0x01
'Shen ', # 0x02
'Diao ', # 0x03
'Chan ', # 0x04
'Liang ', # 0x05
'Zhun ', # 0x06
'Sui ', # 0x07
'Tan ', # 0x08
'Shen ', # 0x09
'Yi ', # 0x0a
'Mou ', # 0x0b
'Chen ', # 0x0c
'Die ', # 0x0d
'Huang ', # 0x0e
'Jian ', # 0x0f
'Xie ', # 0x10
'Nue ', # 0x11
'Ye ', # 0x12
'Wei ', # 0x13
'E ', # 0x14
'Yu ', # 0x15
'Xuan ', # 0x16
'Chan ', # 0x17
'Zi ', # 0x18
'An ', # 0x19
'Yan ', # 0x1a
'Di ', # 0x1b
'Mi ', # 0x1c
'Pian ', # 0x1d
'Xu ', # 0x1e
'Mo ', # 0x1f
'Dang ', # 0x20
'Su ', # 0x21
'Xie ', # 0x22
'Yao ', # 0x23
'Bang ', # 0x24
'Shi ', # 0x25
'Qian ', # 0x26
'Mi ', # 0x27
'Jin ', # 0x28
'Man ', # 0x29
'Zhe ', # 0x2a
'Jian ', # 0x2b
'Miu ', # 0x2c
'Tan ', # 0x2d
'Zen ', # 0x2e
'Qiao ', # 0x2f
'Lan ', # 0x30
'Pu ', # 0x31
'Jue ', # 0x32
'Yan ', # 0x33
'Qian ', # 0x34
'Zhan ', # 0x35
'Chen ', # 0x36
'Gu ', # 0x37
'Qian ', # 0x38
'Hong ', # 0x39
'Xia ', # 0x3a
'Jue ', # 0x3b
'Hong ', # 0x3c
'Han ', # 0x3d
'Hong ', # 0x3e
'Xi ', # 0x3f
'Xi ', # 0x40
'Huo ', # 0x41
'Liao ', # 0x42
'Han ', # 0x43
'Du ', # 0x44
'Long ', # 0x45
'Dou ', # 0x46
'Jiang ', # 0x47
'Qi ', # 0x48
'Shi ', # 0x49
'Li ', # 0x4a
'Deng ', # 0x4b
'Wan ', # 0x4c
'Bi ', # 0x4d
'Shu ', # 0x4e
'Xian ', # 0x4f
'Feng ', # 0x50
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'Zhe ', # 0x84
'Fu ', # 0x85
'Liang ', # 0x86
'Nian ', # 0x87
'Bei ', # 0x88
'Hui ', # 0x89
'Gun ', # 0x8a
'Wang ', # 0x8b
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'Zhan ', # 0x97
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'Che ', # 0x99
'Lin ', # 0x9a
'Xin ', # 0x9b
'Gu ', # 0x9c
'Ci ', # 0x9d
'Ci ', # 0x9e
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'Ci ', # 0xa4
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'Bian ', # 0xa7
'Bian ', # 0xa8
'Bian ', # 0xa9
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'Ban ', # 0xac
'Ci ', # 0xad
'Bian ', # 0xae
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'Sip ', # 0xbb
'Ip ', # 0xbc
'Liao ', # 0xbd
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'Chan ', # 0xbf
'Gan ', # 0xc0
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'Yu ', # 0xc2
'Yu ', # 0xc3
'Qi ', # 0xc4
'Xun ', # 0xc5
'Yi ', # 0xc6
'Guo ', # 0xc7
'Mai ', # 0xc8
'Qi ', # 0xc9
'Za ', # 0xca
'Wang ', # 0xcb
'Jia ', # 0xcc
'Zhun ', # 0xcd
'Ying ', # 0xce
'Ti ', # 0xcf
'Yun ', # 0xd0
'Jin ', # 0xd1
'Hang ', # 0xd2
'Ya ', # 0xd3
'Fan ', # 0xd4
'Wu ', # 0xd5
'Da ', # 0xd6
'E ', # 0xd7
'Huan ', # 0xd8
'Zhe ', # 0xd9
'Totemo ', # 0xda
'Jin ', # 0xdb
'Yuan ', # 0xdc
'Wei ', # 0xdd
'Lian ', # 0xde
'Chi ', # 0xdf
'Che ', # 0xe0
'Ni ', # 0xe1
'Tiao ', # 0xe2
'Zhi ', # 0xe3
'Yi ', # 0xe4
'Jiong ', # 0xe5
'Jia ', # 0xe6
'Chen ', # 0xe7
'Dai ', # 0xe8
'Er ', # 0xe9
'Di ', # 0xea
'Po ', # 0xeb
'Wang ', # 0xec
'Die ', # 0xed
'Ze ', # 0xee
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'Shu ', # 0xf0
'Tuo ', # 0xf1
'Kep ', # 0xf2
'Jing ', # 0xf3
'Hui ', # 0xf4
'Tong ', # 0xf5
'You ', # 0xf6
'Mi ', # 0xf7
'Beng ', # 0xf8
'Ji ', # 0xf9
'Nai ', # 0xfa
'Yi ', # 0xfb
'Jie ', # 0xfc
'Zhui ', # 0xfd
'Lie ', # 0xfe
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'Gua ', # 0x02
'Tao ', # 0x03
'Pang ', # 0x04
'Hou ', # 0x05
'Ni ', # 0x06
'Dun ', # 0x07
'Jiong ', # 0x08
'Xuan ', # 0x09
'Xun ', # 0x0a
'Bu ', # 0x0b
'You ', # 0x0c
'Xiao ', # 0x0d
'Qiu ', # 0x0e
'Tou ', # 0x0f
'Zhu ', # 0x10
'Qiu ', # 0x11
'Di ', # 0x12
'Di ', # 0x13
'Tu ', # 0x14
'Jing ', # 0x15
'Ti ', # 0x16
'Dou ', # 0x17
'Yi ', # 0x18
'Zhe ', # 0x19
'Tong ', # 0x1a
'Guang ', # 0x1b
'Wu ', # 0x1c
'Shi ', # 0x1d
'Cheng ', # 0x1e
'Su ', # 0x1f
'Zao ', # 0x20
'Qun ', # 0x21
'Feng ', # 0x22
'Lian ', # 0x23
'Suo ', # 0x24
'Hui ', # 0x25
'Li ', # 0x26
'Sako ', # 0x27
'Lai ', # 0x28
'Ben ', # 0x29
'Cuo ', # 0x2a
'Jue ', # 0x2b
'Beng ', # 0x2c
'Huan ', # 0x2d
'Dai ', # 0x2e
'Lu ', # 0x2f
'You ', # 0x30
'Zhou ', # 0x31
'Jin ', # 0x32
'Yu ', # 0x33
'Chuo ', # 0x34
'Kui ', # 0x35
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'Ti ', # 0x37
'Yi ', # 0x38
'Da ', # 0x39
'Yuan ', # 0x3a
'Luo ', # 0x3b
'Bi ', # 0x3c
'Nuo ', # 0x3d
'Yu ', # 0x3e
'Dang ', # 0x3f
'Sui ', # 0x40
'Dun ', # 0x41
'Sui ', # 0x42
'Yan ', # 0x43
'Chuan ', # 0x44
'Chi ', # 0x45
'Ti ', # 0x46
'Yu ', # 0x47
'Shi ', # 0x48
'Zhen ', # 0x49
'You ', # 0x4a
'Yun ', # 0x4b
'E ', # 0x4c
'Bian ', # 0x4d
'Guo ', # 0x4e
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'Xia ', # 0x50
'Huang ', # 0x51
'Qiu ', # 0x52
'Dao ', # 0x53
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'Wei ', # 0x55
'Appare ', # 0x56
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'Gou ', # 0x58
'Yao ', # 0x59
'Chu ', # 0x5a
'Liu ', # 0x5b
'Xun ', # 0x5c
'Ta ', # 0x5d
'Di ', # 0x5e
'Chi ', # 0x5f
'Yuan ', # 0x60
'Su ', # 0x61
'Ta ', # 0x62
'Qian ', # 0x63
'[?] ', # 0x64
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'Guan ', # 0x66
'Zhang ', # 0x67
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'Shi ', # 0x69
'Ce ', # 0x6a
'Chi ', # 0x6b
'Su ', # 0x6c
'Zao ', # 0x6d
'Zhe ', # 0x6e
'Dun ', # 0x6f
'Di ', # 0x70
'Lou ', # 0x71
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'Cuo ', # 0x73
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'Qian ', # 0x77
'Xuan ', # 0x78
'Yu ', # 0x79
'Yi ', # 0x7a
'Wu ', # 0x7b
'Liao ', # 0x7c
'Ju ', # 0x7d
'Shi ', # 0x7e
'Bi ', # 0x7f
'Yao ', # 0x80
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'Xie ', # 0x82
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'Huan ', # 0x84
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'Teng ', # 0x86
'Er ', # 0x87
'Miao ', # 0x88
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'Bian ', # 0x8a
'La ', # 0x8b
'Li ', # 0x8c
'Yuan ', # 0x8d
'Yao ', # 0x8e
'Luo ', # 0x8f
'Li ', # 0x90
'Yi ', # 0x91
'Ting ', # 0x92
'Deng ', # 0x93
'Qi ', # 0x94
'Yong ', # 0x95
'Shan ', # 0x96
'Han ', # 0x97
'Yu ', # 0x98
'Mang ', # 0x99
'Ru ', # 0x9a
'Qiong ', # 0x9b
'[?] ', # 0x9c
'Kuang ', # 0x9d
'Fu ', # 0x9e
'Kang ', # 0x9f
'Bin ', # 0xa0
'Fang ', # 0xa1
'Xing ', # 0xa2
'Na ', # 0xa3
'Xin ', # 0xa4
'Shen ', # 0xa5
'Bang ', # 0xa6
'Yuan ', # 0xa7
'Cun ', # 0xa8
'Huo ', # 0xa9
'Xie ', # 0xaa
'Bang ', # 0xab
'Wu ', # 0xac
'Ju ', # 0xad
'You ', # 0xae
'Han ', # 0xaf
'Tai ', # 0xb0
'Qiu ', # 0xb1
'Bi ', # 0xb2
'Pei ', # 0xb3
'Bing ', # 0xb4
'Shao ', # 0xb5
'Bei ', # 0xb6
'Wa ', # 0xb7
'Di ', # 0xb8
'Zou ', # 0xb9
'Ye ', # 0xba
'Lin ', # 0xbb
'Kuang ', # 0xbc
'Gui ', # 0xbd
'Zhu ', # 0xbe
'Shi ', # 0xbf
'Ku ', # 0xc0
'Yu ', # 0xc1
'Gai ', # 0xc2
'Ge ', # 0xc3
'Xi ', # 0xc4
'Zhi ', # 0xc5
'Ji ', # 0xc6
'Xun ', # 0xc7
'Hou ', # 0xc8
'Xing ', # 0xc9
'Jiao ', # 0xca
'Xi ', # 0xcb
'Gui ', # 0xcc
'Nuo ', # 0xcd
'Lang ', # 0xce
'Jia ', # 0xcf
'Kuai ', # 0xd0
'Zheng ', # 0xd1
'Otoko ', # 0xd2
'Yun ', # 0xd3
'Yan ', # 0xd4
'Cheng ', # 0xd5
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'Chi ', # 0xd7
'Lu ', # 0xd8
'Fu ', # 0xd9
'Wu ', # 0xda
'Fu ', # 0xdb
'Gao ', # 0xdc
'Hao ', # 0xdd
'Lang ', # 0xde
'Jia ', # 0xdf
'Geng ', # 0xe0
'Jun ', # 0xe1
'Ying ', # 0xe2
'Bo ', # 0xe3
'Xi ', # 0xe4
'Bei ', # 0xe5
'Li ', # 0xe6
'Yun ', # 0xe7
'Bu ', # 0xe8
'Xiao ', # 0xe9
'Qi ', # 0xea
'Pi ', # 0xeb
'Qing ', # 0xec
'Guo ', # 0xed
'Zhou ', # 0xee
'Tan ', # 0xef
'Zou ', # 0xf0
'Ping ', # 0xf1
'Lai ', # 0xf2
'Ni ', # 0xf3
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'Bu ', # 0xf6
'Xiang ', # 0xf7
'Dan ', # 0xf8
'Ju ', # 0xf9
'Yong ', # 0xfa
'Qiao ', # 0xfb
'Yi ', # 0xfc
'Du ', # 0xfd
'Yan ', # 0xfe
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)
x091 = (
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'Bei ', # 0x01
'E ', # 0x02
'Yu ', # 0x03
'Juan ', # 0x04
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'Hou ', # 0x07
'Kui ', # 0x08
'Xiang ', # 0x09
'Xiang ', # 0x0a
'Sou ', # 0x0b
'Tang ', # 0x0c
'Ming ', # 0x0d
'Xi ', # 0x0e
'Ru ', # 0x0f
'Chu ', # 0x10
'Zi ', # 0x11
'Zou ', # 0x12
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'Xiang ', # 0x15
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'Mo ', # 0x1a
'Chao ', # 0x1b
'Fu ', # 0x1c
'Liao ', # 0x1d
'Yin ', # 0x1e
'Zhuan ', # 0x1f
'Hu ', # 0x20
'Qiao ', # 0x21
'Yan ', # 0x22
'Zhang ', # 0x23
'Fan ', # 0x24
'Qiao ', # 0x25
'Xu ', # 0x26
'Deng ', # 0x27
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'Xin ', # 0x29
'Bi ', # 0x2a
'Ceng ', # 0x2b
'Wei ', # 0x2c
'Zheng ', # 0x2d
'Mao ', # 0x2e
'Shan ', # 0x2f
'Lin ', # 0x30
'Po ', # 0x31
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'Meng ', # 0x33
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'Cao ', # 0x35
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'Sakenomoto ', # 0x5b
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'Luo ', # 0x6a
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'Xu ', # 0x91
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'Chou ', # 0x9c
'Cuo ', # 0x9d
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'Jiao ', # 0xb6
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'Niang ', # 0xb8
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'Mi ', # 0xbf
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'Mi ', # 0xc4
'Yan ', # 0xc5
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'Shi ', # 0xca
'Shi ', # 0xcb
'Li ', # 0xcc
'Zhong ', # 0xcd
'Ye ', # 0xce
'Liang ', # 0xcf
'Li ', # 0xd0
'Jin ', # 0xd1
'Jin ', # 0xd2
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'Diao ', # 0xd5
'Dao ', # 0xd6
'Zhao ', # 0xd7
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'Qiu ', # 0xda
'He ', # 0xdb
'Fu ', # 0xdc
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'Zhi ', # 0xde
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'Luan ', # 0xe0
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'Qiao ', # 0xe5
'Kou ', # 0xe6
'Chuan ', # 0xe7
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'Fan ', # 0xe9
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'Hua ', # 0xeb
'Han ', # 0xec
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'Ri ', # 0xf0
'Di ', # 0xf1
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'Shi ', # 0xf6
'Tu ', # 0xf7
'Xi ', # 0xf8
'Nu ', # 0xf9
'Qian ', # 0xfa
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'Jian ', # 0xfc
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'Ye ', # 0xfe
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x092 = (
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'E ', # 0x0b
'Jue ', # 0x0c
'Dun ', # 0x0d
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'Yin ', # 0x0f
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'Hong ', # 0x1c
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'Ri ', # 0x24
'Huo ', # 0x25
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'Habaki ', # 0x28
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'Ngaak ', # 0x2a
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'Yan ', # 0xeb
'Han ', # 0xec
'Bi ', # 0xed
'Wen ', # 0xee
'Chuang ', # 0xef
'Run ', # 0xf0
'Wei ', # 0xf1
'Xian ', # 0xf2
'Hong ', # 0xf3
'Jian ', # 0xf4
'Min ', # 0xf5
'Kang ', # 0xf6
'Men ', # 0xf7
'Zha ', # 0xf8
'Nao ', # 0xf9
'Gui ', # 0xfa
'Wen ', # 0xfb
'Ta ', # 0xfc
'Min ', # 0xfd
'Lu ', # 0xfe
'Kai ', # 0xff
)
x096 = (
'Fa ', # 0x00
'Ge ', # 0x01
'He ', # 0x02
'Kun ', # 0x03
'Jiu ', # 0x04
'Yue ', # 0x05
'Lang ', # 0x06
'Du ', # 0x07
'Yu ', # 0x08
'Yan ', # 0x09
'Chang ', # 0x0a
'Xi ', # 0x0b
'Wen ', # 0x0c
'Hun ', # 0x0d
'Yan ', # 0x0e
'E ', # 0x0f
'Chan ', # 0x10
'Lan ', # 0x11
'Qu ', # 0x12
'Hui ', # 0x13
'Kuo ', # 0x14
'Que ', # 0x15
'Ge ', # 0x16
'Tian ', # 0x17
'Ta ', # 0x18
'Que ', # 0x19
'Kan ', # 0x1a
'Huan ', # 0x1b
'Fu ', # 0x1c
'Fu ', # 0x1d
'Le ', # 0x1e
'Dui ', # 0x1f
'Xin ', # 0x20
'Qian ', # 0x21
'Wu ', # 0x22
'Yi ', # 0x23
'Tuo ', # 0x24
'Yin ', # 0x25
'Yang ', # 0x26
'Dou ', # 0x27
'E ', # 0x28
'Sheng ', # 0x29
'Ban ', # 0x2a
'Pei ', # 0x2b
'Keng ', # 0x2c
'Yun ', # 0x2d
'Ruan ', # 0x2e
'Zhi ', # 0x2f
'Pi ', # 0x30
'Jing ', # 0x31
'Fang ', # 0x32
'Yang ', # 0x33
'Yin ', # 0x34
'Zhen ', # 0x35
'Jie ', # 0x36
'Cheng ', # 0x37
'E ', # 0x38
'Qu ', # 0x39
'Di ', # 0x3a
'Zu ', # 0x3b
'Zuo ', # 0x3c
'Dian ', # 0x3d
'Ling ', # 0x3e
'A ', # 0x3f
'Tuo ', # 0x40
'Tuo ', # 0x41
'Po ', # 0x42
'Bing ', # 0x43
'Fu ', # 0x44
'Ji ', # 0x45
'Lu ', # 0x46
'Long ', # 0x47
'Chen ', # 0x48
'Xing ', # 0x49
'Duo ', # 0x4a
'Lou ', # 0x4b
'Mo ', # 0x4c
'Jiang ', # 0x4d
'Shu ', # 0x4e
'Duo ', # 0x4f
'Xian ', # 0x50
'Er ', # 0x51
'Gui ', # 0x52
'Yu ', # 0x53
'Gai ', # 0x54
'Shan ', # 0x55
'Xun ', # 0x56
'Qiao ', # 0x57
'Xing ', # 0x58
'Chun ', # 0x59
'Fu ', # 0x5a
'Bi ', # 0x5b
'Xia ', # 0x5c
'Shan ', # 0x5d
'Sheng ', # 0x5e
'Zhi ', # 0x5f
'Pu ', # 0x60
'Dou ', # 0x61
'Yuan ', # 0x62
'Zhen ', # 0x63
'Chu ', # 0x64
'Xian ', # 0x65
'Tou ', # 0x66
'Nie ', # 0x67
'Yun ', # 0x68
'Xian ', # 0x69
'Pei ', # 0x6a
'Pei ', # 0x6b
'Zou ', # 0x6c
'Yi ', # 0x6d
'Dui ', # 0x6e
'Lun ', # 0x6f
'Yin ', # 0x70
'Ju ', # 0x71
'Chui ', # 0x72
'Chen ', # 0x73
'Pi ', # 0x74
'Ling ', # 0x75
'Tao ', # 0x76
'Xian ', # 0x77
'Lu ', # 0x78
'Sheng ', # 0x79
'Xian ', # 0x7a
'Yin ', # 0x7b
'Zhu ', # 0x7c
'Yang ', # 0x7d
'Reng ', # 0x7e
'Shan ', # 0x7f
'Chong ', # 0x80
'Yan ', # 0x81
'Yin ', # 0x82
'Yu ', # 0x83
'Ti ', # 0x84
'Yu ', # 0x85
'Long ', # 0x86
'Wei ', # 0x87
'Wei ', # 0x88
'Nie ', # 0x89
'Dui ', # 0x8a
'Sui ', # 0x8b
'An ', # 0x8c
'Huang ', # 0x8d
'Jie ', # 0x8e
'Sui ', # 0x8f
'Yin ', # 0x90
'Gai ', # 0x91
'Yan ', # 0x92
'Hui ', # 0x93
'Ge ', # 0x94
'Yun ', # 0x95
'Wu ', # 0x96
'Wei ', # 0x97
'Ai ', # 0x98
'Xi ', # 0x99
'Tang ', # 0x9a
'Ji ', # 0x9b
'Zhang ', # 0x9c
'Dao ', # 0x9d
'Ao ', # 0x9e
'Xi ', # 0x9f
'Yin ', # 0xa0
'[?] ', # 0xa1
'Rao ', # 0xa2
'Lin ', # 0xa3
'Tui ', # 0xa4
'Deng ', # 0xa5
'Pi ', # 0xa6
'Sui ', # 0xa7
'Sui ', # 0xa8
'Yu ', # 0xa9
'Xian ', # 0xaa
'Fen ', # 0xab
'Ni ', # 0xac
'Er ', # 0xad
'Ji ', # 0xae
'Dao ', # 0xaf
'Xi ', # 0xb0
'Yin ', # 0xb1
'E ', # 0xb2
'Hui ', # 0xb3
'Long ', # 0xb4
'Xi ', # 0xb5
'Li ', # 0xb6
'Li ', # 0xb7
'Li ', # 0xb8
'Zhui ', # 0xb9
'He ', # 0xba
'Zhi ', # 0xbb
'Zhun ', # 0xbc
'Jun ', # 0xbd
'Nan ', # 0xbe
'Yi ', # 0xbf
'Que ', # 0xc0
'Yan ', # 0xc1
'Qian ', # 0xc2
'Ya ', # 0xc3
'Xiong ', # 0xc4
'Ya ', # 0xc5
'Ji ', # 0xc6
'Gu ', # 0xc7
'Huan ', # 0xc8
'Zhi ', # 0xc9
'Gou ', # 0xca
'Jun ', # 0xcb
'Ci ', # 0xcc
'Yong ', # 0xcd
'Ju ', # 0xce
'Chu ', # 0xcf
'Hu ', # 0xd0
'Za ', # 0xd1
'Luo ', # 0xd2
'Yu ', # 0xd3
'Chou ', # 0xd4
'Diao ', # 0xd5
'Sui ', # 0xd6
'Han ', # 0xd7
'Huo ', # 0xd8
'Shuang ', # 0xd9
'Guan ', # 0xda
'Chu ', # 0xdb
'Za ', # 0xdc
'Yong ', # 0xdd
'Ji ', # 0xde
'Xi ', # 0xdf
'Chou ', # 0xe0
'Liu ', # 0xe1
'Li ', # 0xe2
'Nan ', # 0xe3
'Xue ', # 0xe4
'Za ', # 0xe5
'Ji ', # 0xe6
'Ji ', # 0xe7
'Yu ', # 0xe8
'Yu ', # 0xe9
'Xue ', # 0xea
'Na ', # 0xeb
'Fou ', # 0xec
'Se ', # 0xed
'Mu ', # 0xee
'Wen ', # 0xef
'Fen ', # 0xf0
'Pang ', # 0xf1
'Yun ', # 0xf2
'Li ', # 0xf3
'Li ', # 0xf4
'Ang ', # 0xf5
'Ling ', # 0xf6
'Lei ', # 0xf7
'An ', # 0xf8
'Bao ', # 0xf9
'Meng ', # 0xfa
'Dian ', # 0xfb
'Dang ', # 0xfc
'Xing ', # 0xfd
'Wu ', # 0xfe
'Zhao ', # 0xff
)
x097 = (
'Xu ', # 0x00
'Ji ', # 0x01
'Mu ', # 0x02
'Chen ', # 0x03
'Xiao ', # 0x04
'Zha ', # 0x05
'Ting ', # 0x06
'Zhen ', # 0x07
'Pei ', # 0x08
'Mei ', # 0x09
'Ling ', # 0x0a
'Qi ', # 0x0b
'Chou ', # 0x0c
'Huo ', # 0x0d
'Sha ', # 0x0e
'Fei ', # 0x0f
'Weng ', # 0x10
'Zhan ', # 0x11
'Yin ', # 0x12
'Ni ', # 0x13
'Chou ', # 0x14
'Tun ', # 0x15
'Lin ', # 0x16
'[?] ', # 0x17
'Dong ', # 0x18
'Ying ', # 0x19
'Wu ', # 0x1a
'Ling ', # 0x1b
'Shuang ', # 0x1c
'Ling ', # 0x1d
'Xia ', # 0x1e
'Hong ', # 0x1f
'Yin ', # 0x20
'Mo ', # 0x21
'Mai ', # 0x22
'Yun ', # 0x23
'Liu ', # 0x24
'Meng ', # 0x25
'Bin ', # 0x26
'Wu ', # 0x27
'Wei ', # 0x28
'Huo ', # 0x29
'Yin ', # 0x2a
'Xi ', # 0x2b
'Yi ', # 0x2c
'Ai ', # 0x2d
'Dan ', # 0x2e
'Deng ', # 0x2f
'Xian ', # 0x30
'Yu ', # 0x31
'Lu ', # 0x32
'Long ', # 0x33
'Dai ', # 0x34
'Ji ', # 0x35
'Pang ', # 0x36
'Yang ', # 0x37
'Ba ', # 0x38
'Pi ', # 0x39
'Wei ', # 0x3a
'[?] ', # 0x3b
'Xi ', # 0x3c
'Ji ', # 0x3d
'Mai ', # 0x3e
'Meng ', # 0x3f
'Meng ', # 0x40
'Lei ', # 0x41
'Li ', # 0x42
'Huo ', # 0x43
'Ai ', # 0x44
'Fei ', # 0x45
'Dai ', # 0x46
'Long ', # 0x47
'Ling ', # 0x48
'Ai ', # 0x49
'Feng ', # 0x4a
'Li ', # 0x4b
'Bao ', # 0x4c
'[?] ', # 0x4d
'He ', # 0x4e
'He ', # 0x4f
'Bing ', # 0x50
'Qing ', # 0x51
'Qing ', # 0x52
'Jing ', # 0x53
'Tian ', # 0x54
'Zhen ', # 0x55
'Jing ', # 0x56
'Cheng ', # 0x57
'Qing ', # 0x58
'Jing ', # 0x59
'Jing ', # 0x5a
'Dian ', # 0x5b
'Jing ', # 0x5c
'Tian ', # 0x5d
'Fei ', # 0x5e
'Fei ', # 0x5f
'Kao ', # 0x60
'Mi ', # 0x61
'Mian ', # 0x62
'Mian ', # 0x63
'Pao ', # 0x64
'Ye ', # 0x65
'Tian ', # 0x66
'Hui ', # 0x67
'Ye ', # 0x68
'Ge ', # 0x69
'Ding ', # 0x6a
'Cha ', # 0x6b
'Jian ', # 0x6c
'Ren ', # 0x6d
'Di ', # 0x6e
'Du ', # 0x6f
'Wu ', # 0x70
'Ren ', # 0x71
'Qin ', # 0x72
'Jin ', # 0x73
'Xue ', # 0x74
'Niu ', # 0x75
'Ba ', # 0x76
'Yin ', # 0x77
'Sa ', # 0x78
'Na ', # 0x79
'Mo ', # 0x7a
'Zu ', # 0x7b
'Da ', # 0x7c
'Ban ', # 0x7d
'Yi ', # 0x7e
'Yao ', # 0x7f
'Tao ', # 0x80
'Tuo ', # 0x81
'Jia ', # 0x82
'Hong ', # 0x83
'Pao ', # 0x84
'Yang ', # 0x85
'Tomo ', # 0x86
'Yin ', # 0x87
'Jia ', # 0x88
'Tao ', # 0x89
'Ji ', # 0x8a
'Xie ', # 0x8b
'An ', # 0x8c
'An ', # 0x8d
'Hen ', # 0x8e
'Gong ', # 0x8f
'Kohaze ', # 0x90
'Da ', # 0x91
'Qiao ', # 0x92
'Ting ', # 0x93
'Wan ', # 0x94
'Ying ', # 0x95
'Sui ', # 0x96
'Tiao ', # 0x97
'Qiao ', # 0x98
'Xuan ', # 0x99
'Kong ', # 0x9a
'Beng ', # 0x9b
'Ta ', # 0x9c
'Zhang ', # 0x9d
'Bing ', # 0x9e
'Kuo ', # 0x9f
'Ju ', # 0xa0
'La ', # 0xa1
'Xie ', # 0xa2
'Rou ', # 0xa3
'Bang ', # 0xa4
'Yi ', # 0xa5
'Qiu ', # 0xa6
'Qiu ', # 0xa7
'He ', # 0xa8
'Xiao ', # 0xa9
'Mu ', # 0xaa
'Ju ', # 0xab
'Jian ', # 0xac
'Bian ', # 0xad
'Di ', # 0xae
'Jian ', # 0xaf
'On ', # 0xb0
'Tao ', # 0xb1
'Gou ', # 0xb2
'Ta ', # 0xb3
'Bei ', # 0xb4
'Xie ', # 0xb5
'Pan ', # 0xb6
'Ge ', # 0xb7
'Bi ', # 0xb8
'Kuo ', # 0xb9
'Tang ', # 0xba
'Lou ', # 0xbb
'Gui ', # 0xbc
'Qiao ', # 0xbd
'Xue ', # 0xbe
'Ji ', # 0xbf
'Jian ', # 0xc0
'Jiang ', # 0xc1
'Chan ', # 0xc2
'Da ', # 0xc3
'Huo ', # 0xc4
'Xian ', # 0xc5
'Qian ', # 0xc6
'Du ', # 0xc7
'Wa ', # 0xc8
'Jian ', # 0xc9
'Lan ', # 0xca
'Wei ', # 0xcb
'Ren ', # 0xcc
'Fu ', # 0xcd
'Mei ', # 0xce
'Juan ', # 0xcf
'Ge ', # 0xd0
'Wei ', # 0xd1
'Qiao ', # 0xd2
'Han ', # 0xd3
'Chang ', # 0xd4
'[?] ', # 0xd5
'Rou ', # 0xd6
'Xun ', # 0xd7
'She ', # 0xd8
'Wei ', # 0xd9
'Ge ', # 0xda
'Bei ', # 0xdb
'Tao ', # 0xdc
'Gou ', # 0xdd
'Yun ', # 0xde
'[?] ', # 0xdf
'Bi ', # 0xe0
'Wei ', # 0xe1
'Hui ', # 0xe2
'Du ', # 0xe3
'Wa ', # 0xe4
'Du ', # 0xe5
'Wei ', # 0xe6
'Ren ', # 0xe7
'Fu ', # 0xe8
'Han ', # 0xe9
'Wei ', # 0xea
'Yun ', # 0xeb
'Tao ', # 0xec
'Jiu ', # 0xed
'Jiu ', # 0xee
'Xian ', # 0xef
'Xie ', # 0xf0
'Xian ', # 0xf1
'Ji ', # 0xf2
'Yin ', # 0xf3
'Za ', # 0xf4
'Yun ', # 0xf5
'Shao ', # 0xf6
'Le ', # 0xf7
'Peng ', # 0xf8
'Heng ', # 0xf9
'Ying ', # 0xfa
'Yun ', # 0xfb
'Peng ', # 0xfc
'Yin ', # 0xfd
'Yin ', # 0xfe
'Xiang ', # 0xff
)
x098 = (
'Hu ', # 0x00
'Ye ', # 0x01
'Ding ', # 0x02
'Qing ', # 0x03
'Pan ', # 0x04
'Xiang ', # 0x05
'Shun ', # 0x06
'Han ', # 0x07
'Xu ', # 0x08
'Yi ', # 0x09
'Xu ', # 0x0a
'Gu ', # 0x0b
'Song ', # 0x0c
'Kui ', # 0x0d
'Qi ', # 0x0e
'Hang ', # 0x0f
'Yu ', # 0x10
'Wan ', # 0x11
'Ban ', # 0x12
'Dun ', # 0x13
'Di ', # 0x14
'Dan ', # 0x15
'Pan ', # 0x16
'Po ', # 0x17
'Ling ', # 0x18
'Ce ', # 0x19
'Jing ', # 0x1a
'Lei ', # 0x1b
'He ', # 0x1c
'Qiao ', # 0x1d
'E ', # 0x1e
'E ', # 0x1f
'Wei ', # 0x20
'Jie ', # 0x21
'Gua ', # 0x22
'Shen ', # 0x23
'Yi ', # 0x24
'Shen ', # 0x25
'Hai ', # 0x26
'Dui ', # 0x27
'Pian ', # 0x28
'Ping ', # 0x29
'Lei ', # 0x2a
'Fu ', # 0x2b
'Jia ', # 0x2c
'Tou ', # 0x2d
'Hui ', # 0x2e
'Kui ', # 0x2f
'Jia ', # 0x30
'Le ', # 0x31
'Tian ', # 0x32
'Cheng ', # 0x33
'Ying ', # 0x34
'Jun ', # 0x35
'Hu ', # 0x36
'Han ', # 0x37
'Jing ', # 0x38
'Tui ', # 0x39
'Tui ', # 0x3a
'Pin ', # 0x3b
'Lai ', # 0x3c
'Tui ', # 0x3d
'Zi ', # 0x3e
'Zi ', # 0x3f
'Chui ', # 0x40
'Ding ', # 0x41
'Lai ', # 0x42
'Yan ', # 0x43
'Han ', # 0x44
'Jian ', # 0x45
'Ke ', # 0x46
'Cui ', # 0x47
'Jiong ', # 0x48
'Qin ', # 0x49
'Yi ', # 0x4a
'Sai ', # 0x4b
'Ti ', # 0x4c
'E ', # 0x4d
'E ', # 0x4e
'Yan ', # 0x4f
'Hun ', # 0x50
'Kan ', # 0x51
'Yong ', # 0x52
'Zhuan ', # 0x53
'Yan ', # 0x54
'Xian ', # 0x55
'Xin ', # 0x56
'Yi ', # 0x57
'Yuan ', # 0x58
'Sang ', # 0x59
'Dian ', # 0x5a
'Dian ', # 0x5b
'Jiang ', # 0x5c
'Ku ', # 0x5d
'Lei ', # 0x5e
'Liao ', # 0x5f
'Piao ', # 0x60
'Yi ', # 0x61
'Man ', # 0x62
'Qi ', # 0x63
'Rao ', # 0x64
'Hao ', # 0x65
'Qiao ', # 0x66
'Gu ', # 0x67
'Xun ', # 0x68
'Qian ', # 0x69
'Hui ', # 0x6a
'Zhan ', # 0x6b
'Ru ', # 0x6c
'Hong ', # 0x6d
'Bin ', # 0x6e
'Xian ', # 0x6f
'Pin ', # 0x70
'Lu ', # 0x71
'Lan ', # 0x72
'Nie ', # 0x73
'Quan ', # 0x74
'Ye ', # 0x75
'Ding ', # 0x76
'Qing ', # 0x77
'Han ', # 0x78
'Xiang ', # 0x79
'Shun ', # 0x7a
'Xu ', # 0x7b
'Xu ', # 0x7c
'Wan ', # 0x7d
'Gu ', # 0x7e
'Dun ', # 0x7f
'Qi ', # 0x80
'Ban ', # 0x81
'Song ', # 0x82
'Hang ', # 0x83
'Yu ', # 0x84
'Lu ', # 0x85
'Ling ', # 0x86
'Po ', # 0x87
'Jing ', # 0x88
'Jie ', # 0x89
'Jia ', # 0x8a
'Tian ', # 0x8b
'Han ', # 0x8c
'Ying ', # 0x8d
'Jiong ', # 0x8e
'Hai ', # 0x8f
'Yi ', # 0x90
'Pin ', # 0x91
'Hui ', # 0x92
'Tui ', # 0x93
'Han ', # 0x94
'Ying ', # 0x95
'Ying ', # 0x96
'Ke ', # 0x97
'Ti ', # 0x98
'Yong ', # 0x99
'E ', # 0x9a
'Zhuan ', # 0x9b
'Yan ', # 0x9c
'E ', # 0x9d
'Nie ', # 0x9e
'Man ', # 0x9f
'Dian ', # 0xa0
'Sang ', # 0xa1
'Hao ', # 0xa2
'Lei ', # 0xa3
'Zhan ', # 0xa4
'Ru ', # 0xa5
'Pin ', # 0xa6
'Quan ', # 0xa7
'Feng ', # 0xa8
'Biao ', # 0xa9
'Oroshi ', # 0xaa
'Fu ', # 0xab
'Xia ', # 0xac
'Zhan ', # 0xad
'Biao ', # 0xae
'Sa ', # 0xaf
'Ba ', # 0xb0
'Tai ', # 0xb1
'Lie ', # 0xb2
'Gua ', # 0xb3
'Xuan ', # 0xb4
'Shao ', # 0xb5
'Ju ', # 0xb6
'Bi ', # 0xb7
'Si ', # 0xb8
'Wei ', # 0xb9
'Yang ', # 0xba
'Yao ', # 0xbb
'Sou ', # 0xbc
'Kai ', # 0xbd
'Sao ', # 0xbe
'Fan ', # 0xbf
'Liu ', # 0xc0
'Xi ', # 0xc1
'Liao ', # 0xc2
'Piao ', # 0xc3
'Piao ', # 0xc4
'Liu ', # 0xc5
'Biao ', # 0xc6
'Biao ', # 0xc7
'Biao ', # 0xc8
'Liao ', # 0xc9
'[?] ', # 0xca
'Se ', # 0xcb
'Feng ', # 0xcc
'Biao ', # 0xcd
'Feng ', # 0xce
'Yang ', # 0xcf
'Zhan ', # 0xd0
'Biao ', # 0xd1
'Sa ', # 0xd2
'Ju ', # 0xd3
'Si ', # 0xd4
'Sou ', # 0xd5
'Yao ', # 0xd6
'Liu ', # 0xd7
'Piao ', # 0xd8
'Biao ', # 0xd9
'Biao ', # 0xda
'Fei ', # 0xdb
'Fan ', # 0xdc
'Fei ', # 0xdd
'Fei ', # 0xde
'Shi ', # 0xdf
'Shi ', # 0xe0
'Can ', # 0xe1
'Ji ', # 0xe2
'Ding ', # 0xe3
'Si ', # 0xe4
'Tuo ', # 0xe5
'Zhan ', # 0xe6
'Sun ', # 0xe7
'Xiang ', # 0xe8
'Tun ', # 0xe9
'Ren ', # 0xea
'Yu ', # 0xeb
'Juan ', # 0xec
'Chi ', # 0xed
'Yin ', # 0xee
'Fan ', # 0xef
'Fan ', # 0xf0
'Sun ', # 0xf1
'Yin ', # 0xf2
'Zhu ', # 0xf3
'Yi ', # 0xf4
'Zhai ', # 0xf5
'Bi ', # 0xf6
'Jie ', # 0xf7
'Tao ', # 0xf8
'Liu ', # 0xf9
'Ci ', # 0xfa
'Tie ', # 0xfb
'Si ', # 0xfc
'Bao ', # 0xfd
'Shi ', # 0xfe
'Duo ', # 0xff
)
x099 = (
'Hai ', # 0x00
'Ren ', # 0x01
'Tian ', # 0x02
'Jiao ', # 0x03
'Jia ', # 0x04
'Bing ', # 0x05
'Yao ', # 0x06
'Tong ', # 0x07
'Ci ', # 0x08
'Xiang ', # 0x09
'Yang ', # 0x0a
'Yang ', # 0x0b
'Er ', # 0x0c
'Yan ', # 0x0d
'Le ', # 0x0e
'Yi ', # 0x0f
'Can ', # 0x10
'Bo ', # 0x11
'Nei ', # 0x12
'E ', # 0x13
'Bu ', # 0x14
'Jun ', # 0x15
'Dou ', # 0x16
'Su ', # 0x17
'Yu ', # 0x18
'Shi ', # 0x19
'Yao ', # 0x1a
'Hun ', # 0x1b
'Guo ', # 0x1c
'Shi ', # 0x1d
'Jian ', # 0x1e
'Zhui ', # 0x1f
'Bing ', # 0x20
'Xian ', # 0x21
'Bu ', # 0x22
'Ye ', # 0x23
'Tan ', # 0x24
'Fei ', # 0x25
'Zhang ', # 0x26
'Wei ', # 0x27
'Guan ', # 0x28
'E ', # 0x29
'Nuan ', # 0x2a
'Hun ', # 0x2b
'Hu ', # 0x2c
'Huang ', # 0x2d
'Tie ', # 0x2e
'Hui ', # 0x2f
'Jian ', # 0x30
'Hou ', # 0x31
'He ', # 0x32
'Xing ', # 0x33
'Fen ', # 0x34
'Wei ', # 0x35
'Gu ', # 0x36
'Cha ', # 0x37
'Song ', # 0x38
'Tang ', # 0x39
'Bo ', # 0x3a
'Gao ', # 0x3b
'Xi ', # 0x3c
'Kui ', # 0x3d
'Liu ', # 0x3e
'Sou ', # 0x3f
'Tao ', # 0x40
'Ye ', # 0x41
'Yun ', # 0x42
'Mo ', # 0x43
'Tang ', # 0x44
'Man ', # 0x45
'Bi ', # 0x46
'Yu ', # 0x47
'Xiu ', # 0x48
'Jin ', # 0x49
'San ', # 0x4a
'Kui ', # 0x4b
'Zhuan ', # 0x4c
'Shan ', # 0x4d
'Chi ', # 0x4e
'Dan ', # 0x4f
'Yi ', # 0x50
'Ji ', # 0x51
'Rao ', # 0x52
'Cheng ', # 0x53
'Yong ', # 0x54
'Tao ', # 0x55
'Hui ', # 0x56
'Xiang ', # 0x57
'Zhan ', # 0x58
'Fen ', # 0x59
'Hai ', # 0x5a
'Meng ', # 0x5b
'Yan ', # 0x5c
'Mo ', # 0x5d
'Chan ', # 0x5e
'Xiang ', # 0x5f
'Luo ', # 0x60
'Zuan ', # 0x61
'Nang ', # 0x62
'Shi ', # 0x63
'Ding ', # 0x64
'Ji ', # 0x65
'Tuo ', # 0x66
'Xing ', # 0x67
'Tun ', # 0x68
'Xi ', # 0x69
'Ren ', # 0x6a
'Yu ', # 0x6b
'Chi ', # 0x6c
'Fan ', # 0x6d
'Yin ', # 0x6e
'Jian ', # 0x6f
'Shi ', # 0x70
'Bao ', # 0x71
'Si ', # 0x72
'Duo ', # 0x73
'Yi ', # 0x74
'Er ', # 0x75
'Rao ', # 0x76
'Xiang ', # 0x77
'Jia ', # 0x78
'Le ', # 0x79
'Jiao ', # 0x7a
'Yi ', # 0x7b
'Bing ', # 0x7c
'Bo ', # 0x7d
'Dou ', # 0x7e
'E ', # 0x7f
'Yu ', # 0x80
'Nei ', # 0x81
'Jun ', # 0x82
'Guo ', # 0x83
'Hun ', # 0x84
'Xian ', # 0x85
'Guan ', # 0x86
'Cha ', # 0x87
'Kui ', # 0x88
'Gu ', # 0x89
'Sou ', # 0x8a
'Chan ', # 0x8b
'Ye ', # 0x8c
'Mo ', # 0x8d
'Bo ', # 0x8e
'Liu ', # 0x8f
'Xiu ', # 0x90
'Jin ', # 0x91
'Man ', # 0x92
'San ', # 0x93
'Zhuan ', # 0x94
'Nang ', # 0x95
'Shou ', # 0x96
'Kui ', # 0x97
'Guo ', # 0x98
'Xiang ', # 0x99
'Fen ', # 0x9a
'Ba ', # 0x9b
'Ni ', # 0x9c
'Bi ', # 0x9d
'Bo ', # 0x9e
'Tu ', # 0x9f
'Han ', # 0xa0
'Fei ', # 0xa1
'Jian ', # 0xa2
'An ', # 0xa3
'Ai ', # 0xa4
'Fu ', # 0xa5
'Xian ', # 0xa6
'Wen ', # 0xa7
'Xin ', # 0xa8
'Fen ', # 0xa9
'Bin ', # 0xaa
'Xing ', # 0xab
'Ma ', # 0xac
'Yu ', # 0xad
'Feng ', # 0xae
'Han ', # 0xaf
'Di ', # 0xb0
'Tuo ', # 0xb1
'Tuo ', # 0xb2
'Chi ', # 0xb3
'Xun ', # 0xb4
'Zhu ', # 0xb5
'Zhi ', # 0xb6
'Pei ', # 0xb7
'Xin ', # 0xb8
'Ri ', # 0xb9
'Sa ', # 0xba
'Yin ', # 0xbb
'Wen ', # 0xbc
'Zhi ', # 0xbd
'Dan ', # 0xbe
'Lu ', # 0xbf
'You ', # 0xc0
'Bo ', # 0xc1
'Bao ', # 0xc2
'Kuai ', # 0xc3
'Tuo ', # 0xc4
'Yi ', # 0xc5
'Qu ', # 0xc6
'[?] ', # 0xc7
'Qu ', # 0xc8
'Jiong ', # 0xc9
'Bo ', # 0xca
'Zhao ', # 0xcb
'Yuan ', # 0xcc
'Peng ', # 0xcd
'Zhou ', # 0xce
'Ju ', # 0xcf
'Zhu ', # 0xd0
'Nu ', # 0xd1
'Ju ', # 0xd2
'Pi ', # 0xd3
'Zang ', # 0xd4
'Jia ', # 0xd5
'Ling ', # 0xd6
'Zhen ', # 0xd7
'Tai ', # 0xd8
'Fu ', # 0xd9
'Yang ', # 0xda
'Shi ', # 0xdb
'Bi ', # 0xdc
'Tuo ', # 0xdd
'Tuo ', # 0xde
'Si ', # 0xdf
'Liu ', # 0xe0
'Ma ', # 0xe1
'Pian ', # 0xe2
'Tao ', # 0xe3
'Zhi ', # 0xe4
'Rong ', # 0xe5
'Teng ', # 0xe6
'Dong ', # 0xe7
'Xun ', # 0xe8
'Quan ', # 0xe9
'Shen ', # 0xea
'Jiong ', # 0xeb
'Er ', # 0xec
'Hai ', # 0xed
'Bo ', # 0xee
'Zhu ', # 0xef
'Yin ', # 0xf0
'Luo ', # 0xf1
'Shuu ', # 0xf2
'Dan ', # 0xf3
'Xie ', # 0xf4
'Liu ', # 0xf5
'Ju ', # 0xf6
'Song ', # 0xf7
'Qin ', # 0xf8
'Mang ', # 0xf9
'Liang ', # 0xfa
'Han ', # 0xfb
'Tu ', # 0xfc
'Xuan ', # 0xfd
'Tui ', # 0xfe
'Jun ', # 0xff
)
x09a = (
'E ', # 0x00
'Cheng ', # 0x01
'Xin ', # 0x02
'Ai ', # 0x03
'Lu ', # 0x04
'Zhui ', # 0x05
'Zhou ', # 0x06
'She ', # 0x07
'Pian ', # 0x08
'Kun ', # 0x09
'Tao ', # 0x0a
'Lai ', # 0x0b
'Zong ', # 0x0c
'Ke ', # 0x0d
'Qi ', # 0x0e
'Qi ', # 0x0f
'Yan ', # 0x10
'Fei ', # 0x11
'Sao ', # 0x12
'Yan ', # 0x13
'Jie ', # 0x14
'Yao ', # 0x15
'Wu ', # 0x16
'Pian ', # 0x17
'Cong ', # 0x18
'Pian ', # 0x19
'Qian ', # 0x1a
'Fei ', # 0x1b
'Huang ', # 0x1c
'Jian ', # 0x1d
'Huo ', # 0x1e
'Yu ', # 0x1f
'Ti ', # 0x20
'Quan ', # 0x21
'Xia ', # 0x22
'Zong ', # 0x23
'Kui ', # 0x24
'Rou ', # 0x25
'Si ', # 0x26
'Gua ', # 0x27
'Tuo ', # 0x28
'Kui ', # 0x29
'Sou ', # 0x2a
'Qian ', # 0x2b
'Cheng ', # 0x2c
'Zhi ', # 0x2d
'Liu ', # 0x2e
'Pang ', # 0x2f
'Teng ', # 0x30
'Xi ', # 0x31
'Cao ', # 0x32
'Du ', # 0x33
'Yan ', # 0x34
'Yuan ', # 0x35
'Zou ', # 0x36
'Sao ', # 0x37
'Shan ', # 0x38
'Li ', # 0x39
'Zhi ', # 0x3a
'Shuang ', # 0x3b
'Lu ', # 0x3c
'Xi ', # 0x3d
'Luo ', # 0x3e
'Zhang ', # 0x3f
'Mo ', # 0x40
'Ao ', # 0x41
'Can ', # 0x42
'Piao ', # 0x43
'Cong ', # 0x44
'Qu ', # 0x45
'Bi ', # 0x46
'Zhi ', # 0x47
'Yu ', # 0x48
'Xu ', # 0x49
'Hua ', # 0x4a
'Bo ', # 0x4b
'Su ', # 0x4c
'Xiao ', # 0x4d
'Lin ', # 0x4e
'Chan ', # 0x4f
'Dun ', # 0x50
'Liu ', # 0x51
'Tuo ', # 0x52
'Zeng ', # 0x53
'Tan ', # 0x54
'Jiao ', # 0x55
'Tie ', # 0x56
'Yan ', # 0x57
'Luo ', # 0x58
'Zhan ', # 0x59
'Jing ', # 0x5a
'Yi ', # 0x5b
'Ye ', # 0x5c
'Tuo ', # 0x5d
'Bin ', # 0x5e
'Zou ', # 0x5f
'Yan ', # 0x60
'Peng ', # 0x61
'Lu ', # 0x62
'Teng ', # 0x63
'Xiang ', # 0x64
'Ji ', # 0x65
'Shuang ', # 0x66
'Ju ', # 0x67
'Xi ', # 0x68
'Huan ', # 0x69
'Li ', # 0x6a
'Biao ', # 0x6b
'Ma ', # 0x6c
'Yu ', # 0x6d
'Tuo ', # 0x6e
'Xun ', # 0x6f
'Chi ', # 0x70
'Qu ', # 0x71
'Ri ', # 0x72
'Bo ', # 0x73
'Lu ', # 0x74
'Zang ', # 0x75
'Shi ', # 0x76
'Si ', # 0x77
'Fu ', # 0x78
'Ju ', # 0x79
'Zou ', # 0x7a
'Zhu ', # 0x7b
'Tuo ', # 0x7c
'Nu ', # 0x7d
'Jia ', # 0x7e
'Yi ', # 0x7f
'Tai ', # 0x80
'Xiao ', # 0x81
'Ma ', # 0x82
'Yin ', # 0x83
'Jiao ', # 0x84
'Hua ', # 0x85
'Luo ', # 0x86
'Hai ', # 0x87
'Pian ', # 0x88
'Biao ', # 0x89
'Li ', # 0x8a
'Cheng ', # 0x8b
'Yan ', # 0x8c
'Xin ', # 0x8d
'Qin ', # 0x8e
'Jun ', # 0x8f
'Qi ', # 0x90
'Qi ', # 0x91
'Ke ', # 0x92
'Zhui ', # 0x93
'Zong ', # 0x94
'Su ', # 0x95
'Can ', # 0x96
'Pian ', # 0x97
'Zhi ', # 0x98
'Kui ', # 0x99
'Sao ', # 0x9a
'Wu ', # 0x9b
'Ao ', # 0x9c
'Liu ', # 0x9d
'Qian ', # 0x9e
'Shan ', # 0x9f
'Piao ', # 0xa0
'Luo ', # 0xa1
'Cong ', # 0xa2
'Chan ', # 0xa3
'Zou ', # 0xa4
'Ji ', # 0xa5
'Shuang ', # 0xa6
'Xiang ', # 0xa7
'Gu ', # 0xa8
'Wei ', # 0xa9
'Wei ', # 0xaa
'Wei ', # 0xab
'Yu ', # 0xac
'Gan ', # 0xad
'Yi ', # 0xae
'Ang ', # 0xaf
'Tou ', # 0xb0
'Xie ', # 0xb1
'Bao ', # 0xb2
'Bi ', # 0xb3
'Chi ', # 0xb4
'Ti ', # 0xb5
'Di ', # 0xb6
'Ku ', # 0xb7
'Hai ', # 0xb8
'Qiao ', # 0xb9
'Gou ', # 0xba
'Kua ', # 0xbb
'Ge ', # 0xbc
'Tui ', # 0xbd
'Geng ', # 0xbe
'Pian ', # 0xbf
'Bi ', # 0xc0
'Ke ', # 0xc1
'Ka ', # 0xc2
'Yu ', # 0xc3
'Sui ', # 0xc4
'Lou ', # 0xc5
'Bo ', # 0xc6
'Xiao ', # 0xc7
'Pang ', # 0xc8
'Bo ', # 0xc9
'Ci ', # 0xca
'Kuan ', # 0xcb
'Bin ', # 0xcc
'Mo ', # 0xcd
'Liao ', # 0xce
'Lou ', # 0xcf
'Nao ', # 0xd0
'Du ', # 0xd1
'Zang ', # 0xd2
'Sui ', # 0xd3
'Ti ', # 0xd4
'Bin ', # 0xd5
'Kuan ', # 0xd6
'Lu ', # 0xd7
'Gao ', # 0xd8
'Gao ', # 0xd9
'Qiao ', # 0xda
'Kao ', # 0xdb
'Qiao ', # 0xdc
'Lao ', # 0xdd
'Zao ', # 0xde
'Biao ', # 0xdf
'Kun ', # 0xe0
'Kun ', # 0xe1
'Ti ', # 0xe2
'Fang ', # 0xe3
'Xiu ', # 0xe4
'Ran ', # 0xe5
'Mao ', # 0xe6
'Dan ', # 0xe7
'Kun ', # 0xe8
'Bin ', # 0xe9
'Fa ', # 0xea
'Tiao ', # 0xeb
'Peng ', # 0xec
'Zi ', # 0xed
'Fa ', # 0xee
'Ran ', # 0xef
'Ti ', # 0xf0
'Pao ', # 0xf1
'Pi ', # 0xf2
'Mao ', # 0xf3
'Fu ', # 0xf4
'Er ', # 0xf5
'Rong ', # 0xf6
'Qu ', # 0xf7
'Gong ', # 0xf8
'Xiu ', # 0xf9
'Gua ', # 0xfa
'Ji ', # 0xfb
'Peng ', # 0xfc
'Zhua ', # 0xfd
'Shao ', # 0xfe
'Sha ', # 0xff
)
x09b = (
'Ti ', # 0x00
'Li ', # 0x01
'Bin ', # 0x02
'Zong ', # 0x03
'Ti ', # 0x04
'Peng ', # 0x05
'Song ', # 0x06
'Zheng ', # 0x07
'Quan ', # 0x08
'Zong ', # 0x09
'Shun ', # 0x0a
'Jian ', # 0x0b
'Duo ', # 0x0c
'Hu ', # 0x0d
'La ', # 0x0e
'Jiu ', # 0x0f
'Qi ', # 0x10
'Lian ', # 0x11
'Zhen ', # 0x12
'Bin ', # 0x13
'Peng ', # 0x14
'Mo ', # 0x15
'San ', # 0x16
'Man ', # 0x17
'Man ', # 0x18
'Seng ', # 0x19
'Xu ', # 0x1a
'Lie ', # 0x1b
'Qian ', # 0x1c
'Qian ', # 0x1d
'Nong ', # 0x1e
'Huan ', # 0x1f
'Kuai ', # 0x20
'Ning ', # 0x21
'Bin ', # 0x22
'Lie ', # 0x23
'Rang ', # 0x24
'Dou ', # 0x25
'Dou ', # 0x26
'Nao ', # 0x27
'Hong ', # 0x28
'Xi ', # 0x29
'Dou ', # 0x2a
'Han ', # 0x2b
'Dou ', # 0x2c
'Dou ', # 0x2d
'Jiu ', # 0x2e
'Chang ', # 0x2f
'Yu ', # 0x30
'Yu ', # 0x31
'Li ', # 0x32
'Juan ', # 0x33
'Fu ', # 0x34
'Qian ', # 0x35
'Gui ', # 0x36
'Zong ', # 0x37
'Liu ', # 0x38
'Gui ', # 0x39
'Shang ', # 0x3a
'Yu ', # 0x3b
'Gui ', # 0x3c
'Mei ', # 0x3d
'Ji ', # 0x3e
'Qi ', # 0x3f
'Jie ', # 0x40
'Kui ', # 0x41
'Hun ', # 0x42
'Ba ', # 0x43
'Po ', # 0x44
'Mei ', # 0x45
'Xu ', # 0x46
'Yan ', # 0x47
'Xiao ', # 0x48
'Liang ', # 0x49
'Yu ', # 0x4a
'Tui ', # 0x4b
'Qi ', # 0x4c
'Wang ', # 0x4d
'Liang ', # 0x4e
'Wei ', # 0x4f
'Jian ', # 0x50
'Chi ', # 0x51
'Piao ', # 0x52
'Bi ', # 0x53
'Mo ', # 0x54
'Ji ', # 0x55
'Xu ', # 0x56
'Chou ', # 0x57
'Yan ', # 0x58
'Zhan ', # 0x59
'Yu ', # 0x5a
'Dao ', # 0x5b
'Ren ', # 0x5c
'Ji ', # 0x5d
'Eri ', # 0x5e
'Gong ', # 0x5f
'Tuo ', # 0x60
'Diao ', # 0x61
'Ji ', # 0x62
'Xu ', # 0x63
'E ', # 0x64
'E ', # 0x65
'Sha ', # 0x66
'Hang ', # 0x67
'Tun ', # 0x68
'Mo ', # 0x69
'Jie ', # 0x6a
'Shen ', # 0x6b
'Fan ', # 0x6c
'Yuan ', # 0x6d
'Bi ', # 0x6e
'Lu ', # 0x6f
'Wen ', # 0x70
'Hu ', # 0x71
'Lu ', # 0x72
'Za ', # 0x73
'Fang ', # 0x74
'Fen ', # 0x75
'Na ', # 0x76
'You ', # 0x77
'Namazu ', # 0x78
'Todo ', # 0x79
'He ', # 0x7a
'Xia ', # 0x7b
'Qu ', # 0x7c
'Han ', # 0x7d
'Pi ', # 0x7e
'Ling ', # 0x7f
'Tuo ', # 0x80
'Bo ', # 0x81
'Qiu ', # 0x82
'Ping ', # 0x83
'Fu ', # 0x84
'Bi ', # 0x85
'Ji ', # 0x86
'Wei ', # 0x87
'Ju ', # 0x88
'Diao ', # 0x89
'Bo ', # 0x8a
'You ', # 0x8b
'Gun ', # 0x8c
'Pi ', # 0x8d
'Nian ', # 0x8e
'Xing ', # 0x8f
'Tai ', # 0x90
'Bao ', # 0x91
'Fu ', # 0x92
'Zha ', # 0x93
'Ju ', # 0x94
'Gu ', # 0x95
'Kajika ', # 0x96
'Tong ', # 0x97
'[?] ', # 0x98
'Ta ', # 0x99
'Jie ', # 0x9a
'Shu ', # 0x9b
'Hou ', # 0x9c
'Xiang ', # 0x9d
'Er ', # 0x9e
'An ', # 0x9f
'Wei ', # 0xa0
'Tiao ', # 0xa1
'Zhu ', # 0xa2
'Yin ', # 0xa3
'Lie ', # 0xa4
'Luo ', # 0xa5
'Tong ', # 0xa6
'Yi ', # 0xa7
'Qi ', # 0xa8
'Bing ', # 0xa9
'Wei ', # 0xaa
'Jiao ', # 0xab
'Bu ', # 0xac
'Gui ', # 0xad
'Xian ', # 0xae
'Ge ', # 0xaf
'Hui ', # 0xb0
'Bora ', # 0xb1
'Mate ', # 0xb2
'Kao ', # 0xb3
'Gori ', # 0xb4
'Duo ', # 0xb5
'Jun ', # 0xb6
'Ti ', # 0xb7
'Man ', # 0xb8
'Xiao ', # 0xb9
'Za ', # 0xba
'Sha ', # 0xbb
'Qin ', # 0xbc
'Yu ', # 0xbd
'Nei ', # 0xbe
'Zhe ', # 0xbf
'Gun ', # 0xc0
'Geng ', # 0xc1
'Su ', # 0xc2
'Wu ', # 0xc3
'Qiu ', # 0xc4
'Ting ', # 0xc5
'Fu ', # 0xc6
'Wan ', # 0xc7
'You ', # 0xc8
'Li ', # 0xc9
'Sha ', # 0xca
'Sha ', # 0xcb
'Gao ', # 0xcc
'Meng ', # 0xcd
'Ugui ', # 0xce
'Asari ', # 0xcf
'Subashiri ', # 0xd0
'Kazunoko ', # 0xd1
'Yong ', # 0xd2
'Ni ', # 0xd3
'Zi ', # 0xd4
'Qi ', # 0xd5
'Qing ', # 0xd6
'Xiang ', # 0xd7
'Nei ', # 0xd8
'Chun ', # 0xd9
'Ji ', # 0xda
'Diao ', # 0xdb
'Qie ', # 0xdc
'Gu ', # 0xdd
'Zhou ', # 0xde
'Dong ', # 0xdf
'Lai ', # 0xe0
'Fei ', # 0xe1
'Ni ', # 0xe2
'Yi ', # 0xe3
'Kun ', # 0xe4
'Lu ', # 0xe5
'Jiu ', # 0xe6
'Chang ', # 0xe7
'Jing ', # 0xe8
'Lun ', # 0xe9
'Ling ', # 0xea
'Zou ', # 0xeb
'Li ', # 0xec
'Meng ', # 0xed
'Zong ', # 0xee
'Zhi ', # 0xef
'Nian ', # 0xf0
'Shachi ', # 0xf1
'Dojou ', # 0xf2
'Sukesou ', # 0xf3
'Shi ', # 0xf4
'Shen ', # 0xf5
'Hun ', # 0xf6
'Shi ', # 0xf7
'Hou ', # 0xf8
'Xing ', # 0xf9
'Zhu ', # 0xfa
'La ', # 0xfb
'Zong ', # 0xfc
'Ji ', # 0xfd
'Bian ', # 0xfe
'Bian ', # 0xff
)
x09c = (
'Huan ', # 0x00
'Quan ', # 0x01
'Ze ', # 0x02
'Wei ', # 0x03
'Wei ', # 0x04
'Yu ', # 0x05
'Qun ', # 0x06
'Rou ', # 0x07
'Die ', # 0x08
'Huang ', # 0x09
'Lian ', # 0x0a
'Yan ', # 0x0b
'Qiu ', # 0x0c
'Qiu ', # 0x0d
'Jian ', # 0x0e
'Bi ', # 0x0f
'E ', # 0x10
'Yang ', # 0x11
'Fu ', # 0x12
'Sai ', # 0x13
'Jian ', # 0x14
'Xia ', # 0x15
'Tuo ', # 0x16
'Hu ', # 0x17
'Muroaji ', # 0x18
'Ruo ', # 0x19
'Haraka ', # 0x1a
'Wen ', # 0x1b
'Jian ', # 0x1c
'Hao ', # 0x1d
'Wu ', # 0x1e
'Fang ', # 0x1f
'Sao ', # 0x20
'Liu ', # 0x21
'Ma ', # 0x22
'Shi ', # 0x23
'Shi ', # 0x24
'Yin ', # 0x25
'Z ', # 0x26
'Teng ', # 0x27
'Ta ', # 0x28
'Yao ', # 0x29
'Ge ', # 0x2a
'Rong ', # 0x2b
'Qian ', # 0x2c
'Qi ', # 0x2d
'Wen ', # 0x2e
'Ruo ', # 0x2f
'Hatahata ', # 0x30
'Lian ', # 0x31
'Ao ', # 0x32
'Le ', # 0x33
'Hui ', # 0x34
'Min ', # 0x35
'Ji ', # 0x36
'Tiao ', # 0x37
'Qu ', # 0x38
'Jian ', # 0x39
'Sao ', # 0x3a
'Man ', # 0x3b
'Xi ', # 0x3c
'Qiu ', # 0x3d
'Biao ', # 0x3e
'Ji ', # 0x3f
'Ji ', # 0x40
'Zhu ', # 0x41
'Jiang ', # 0x42
'Qiu ', # 0x43
'Zhuan ', # 0x44
'Yong ', # 0x45
'Zhang ', # 0x46
'Kang ', # 0x47
'Xue ', # 0x48
'Bie ', # 0x49
'Jue ', # 0x4a
'Qu ', # 0x4b
'Xiang ', # 0x4c
'Bo ', # 0x4d
'Jiao ', # 0x4e
'Xun ', # 0x4f
'Su ', # 0x50
'Huang ', # 0x51
'Zun ', # 0x52
'Shan ', # 0x53
'Shan ', # 0x54
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'Xi ', # 0x5a
'Eso ', # 0x5b
'Kyou ', # 0x5c
'Fen ', # 0x5d
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'Sao ', # 0x62
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'Mutsu ', # 0x6b
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'Ji ', # 0x6d
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'Lu ', # 0x78
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'He ', # 0x84
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'Hou ', # 0x8e
'Pi ', # 0x8f
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'Hou ', # 0x98
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'Ji ', # 0x9a
'Jiao ', # 0x9b
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'Za ', # 0x9d
'Xiang ', # 0x9e
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'Jian ', # 0xa3
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'Yong ', # 0xac
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'Ling ', # 0xae
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'Chang ', # 0xb3
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'Ni ', # 0xb5
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'Shen ', # 0xb9
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'Zi ', # 0xbb
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'E ', # 0xc4
'Qiu ', # 0xc5
'Fu ', # 0xc6
'Huang ', # 0xc7
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'Ao ', # 0xcc
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'Ta ', # 0xce
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'Jian ', # 0xd2
'Le ', # 0xd3
'Biao ', # 0xd4
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'Bie ', # 0xd6
'Man ', # 0xd7
'Min ', # 0xd8
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'Wei ', # 0xda
'Xi ', # 0xdb
'Jue ', # 0xdc
'Shan ', # 0xdd
'Lin ', # 0xde
'Zun ', # 0xdf
'Huo ', # 0xe0
'Gan ', # 0xe1
'Li ', # 0xe2
'Zhan ', # 0xe3
'Guan ', # 0xe4
'Niao ', # 0xe5
'Yi ', # 0xe6
'Fu ', # 0xe7
'Li ', # 0xe8
'Jiu ', # 0xe9
'Bu ', # 0xea
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'Fu ', # 0xec
'Diao ', # 0xed
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'Nio ', # 0xf0
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'Feng ', # 0xf3
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'Bao ', # 0xf5
'Yuan ', # 0xf6
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'Hu ', # 0xf8
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'Fu ', # 0xfa
'Fen ', # 0xfb
'Wen ', # 0xfc
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'Shi ', # 0xfe
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x09d = (
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'Pi ', # 0x04
'Huan ', # 0x05
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'Zheng ', # 0x0a
'Fang ', # 0x0b
'Feng ', # 0x0c
'Wen ', # 0x0d
'Ou ', # 0x0e
'Te ', # 0x0f
'Jia ', # 0x10
'Nu ', # 0x11
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'Mie ', # 0x13
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'Tuo ', # 0x15
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'Ge ', # 0x1a
'Yuan ', # 0x1b
'Zi ', # 0x1c
'Qu ', # 0x1d
'Xiao ', # 0x1e
'Zhi ', # 0x1f
'Dan ', # 0x20
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'You ', # 0x22
'Gu ', # 0x23
'Zhong ', # 0x24
'Yu ', # 0x25
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'Rong ', # 0x27
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'Tie ', # 0x29
'Yu ', # 0x2a
'Shigi ', # 0x2b
'Ying ', # 0x2c
'Zhui ', # 0x2d
'Wu ', # 0x2e
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'Gua ', # 0x30
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'Yan ', # 0x33
'Heng ', # 0x34
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'Yi ', # 0x3a
'Hong ', # 0x3b
'Luo ', # 0x3c
'Ru ', # 0x3d
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'Xiu ', # 0x42
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'Zhi ', # 0x44
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'Chidori ', # 0x46
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'E ', # 0x5e
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'Shu ', # 0x68
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'An ', # 0x6a
'Zhao ', # 0x6b
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'Li ', # 0x79
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'Zhui ', # 0x7b
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'Sheng ', # 0x7f
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'Jing ', # 0x81
'Yi ', # 0x82
'Yi ', # 0x83
'Jing ', # 0x84
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'Qi ', # 0x88
'Chun ', # 0x89
'Geng ', # 0x8a
'Ju ', # 0x8b
'Qu ', # 0x8c
'Isuka ', # 0x8d
'Kikuitadaki ', # 0x8e
'Ji ', # 0x8f
'Shu ', # 0x90
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'Jie ', # 0x9b
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'Li ', # 0xc5
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'Ti ', # 0xc9
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'Ma ', # 0xcc
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'Chen ', # 0xd0
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'Zhuan ', # 0xd2
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'Yao ', # 0xd5
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'Zhi ', # 0xd9
'Liao ', # 0xda
'Rong ', # 0xdb
'Lou ', # 0xdc
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'Shuang ', # 0xde
'Zhuo ', # 0xdf
'Yu ', # 0xe0
'Wu ', # 0xe1
'Jue ', # 0xe2
'Yin ', # 0xe3
'Quan ', # 0xe4
'Si ', # 0xe5
'Jiao ', # 0xe6
'Yi ', # 0xe7
'Hua ', # 0xe8
'Bi ', # 0xe9
'Ying ', # 0xea
'Su ', # 0xeb
'Huang ', # 0xec
'Fan ', # 0xed
'Jiao ', # 0xee
'Liao ', # 0xef
'Yan ', # 0xf0
'Kao ', # 0xf1
'Jiu ', # 0xf2
'Xian ', # 0xf3
'Xian ', # 0xf4
'Tu ', # 0xf5
'Mai ', # 0xf6
'Zun ', # 0xf7
'Yu ', # 0xf8
'Ying ', # 0xf9
'Lu ', # 0xfa
'Tuan ', # 0xfb
'Xian ', # 0xfc
'Xue ', # 0xfd
'Yi ', # 0xfe
'Pi ', # 0xff
)
x09e = (
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'Luo ', # 0x01
'Qi ', # 0x02
'Yi ', # 0x03
'Ji ', # 0x04
'Zhe ', # 0x05
'Yu ', # 0x06
'Zhan ', # 0x07
'Ye ', # 0x08
'Yang ', # 0x09
'Pi ', # 0x0a
'Ning ', # 0x0b
'Huo ', # 0x0c
'Mi ', # 0x0d
'Ying ', # 0x0e
'Meng ', # 0x0f
'Di ', # 0x10
'Yue ', # 0x11
'Yu ', # 0x12
'Lei ', # 0x13
'Bao ', # 0x14
'Lu ', # 0x15
'He ', # 0x16
'Long ', # 0x17
'Shuang ', # 0x18
'Yue ', # 0x19
'Ying ', # 0x1a
'Guan ', # 0x1b
'Qu ', # 0x1c
'Li ', # 0x1d
'Luan ', # 0x1e
'Niao ', # 0x1f
'Jiu ', # 0x20
'Ji ', # 0x21
'Yuan ', # 0x22
'Ming ', # 0x23
'Shi ', # 0x24
'Ou ', # 0x25
'Ya ', # 0x26
'Cang ', # 0x27
'Bao ', # 0x28
'Zhen ', # 0x29
'Gu ', # 0x2a
'Dong ', # 0x2b
'Lu ', # 0x2c
'Ya ', # 0x2d
'Xiao ', # 0x2e
'Yang ', # 0x2f
'Ling ', # 0x30
'Zhi ', # 0x31
'Qu ', # 0x32
'Yuan ', # 0x33
'Xue ', # 0x34
'Tuo ', # 0x35
'Si ', # 0x36
'Zhi ', # 0x37
'Er ', # 0x38
'Gua ', # 0x39
'Xiu ', # 0x3a
'Heng ', # 0x3b
'Zhou ', # 0x3c
'Ge ', # 0x3d
'Luan ', # 0x3e
'Hong ', # 0x3f
'Wu ', # 0x40
'Bo ', # 0x41
'Li ', # 0x42
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'Yu ', # 0x46
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'He ', # 0x56
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'Mei ', # 0x5b
'Mu ', # 0x5c
'Ni ', # 0x5d
'Yao ', # 0x5e
'Weng ', # 0x5f
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'Ji ', # 0x61
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'Jian ', # 0x63
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'Yi ', # 0x65
'Ying ', # 0x66
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'Liao ', # 0x68
'Liao ', # 0x69
'Jiao ', # 0x6a
'Jiu ', # 0x6b
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'Lu ', # 0x6d
'Xuan ', # 0x6e
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'Ying ', # 0x70
'Huo ', # 0x71
'Meng ', # 0x72
'Guan ', # 0x73
'Shuang ', # 0x74
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'Jin ', # 0x76
'Ling ', # 0x77
'Jian ', # 0x78
'Xian ', # 0x79
'Cuo ', # 0x7a
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'Jian ', # 0x7c
'Yan ', # 0x7d
'Cuo ', # 0x7e
'Lu ', # 0x7f
'You ', # 0x80
'Cu ', # 0x81
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'Biao ', # 0x83
'Cu ', # 0x84
'Biao ', # 0x85
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'Jun ', # 0x87
'Zhu ', # 0x88
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'Mi ', # 0x8a
'Mi ', # 0x8b
'Wu ', # 0x8c
'Liu ', # 0x8d
'Chen ', # 0x8e
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'Lin ', # 0x90
'Ni ', # 0x91
'Qi ', # 0x92
'Lu ', # 0x93
'Jiu ', # 0x94
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'Jing ', # 0x96
'Li ', # 0x97
'Xiang ', # 0x98
'Yan ', # 0x99
'Jia ', # 0x9a
'Mi ', # 0x9b
'Li ', # 0x9c
'She ', # 0x9d
'Zhang ', # 0x9e
'Lin ', # 0x9f
'Jing ', # 0xa0
'Ji ', # 0xa1
'Ling ', # 0xa2
'Yan ', # 0xa3
'Cu ', # 0xa4
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'Mai ', # 0xa6
'Ge ', # 0xa7
'Chao ', # 0xa8
'Fu ', # 0xa9
'Mian ', # 0xaa
'Mian ', # 0xab
'Fu ', # 0xac
'Pao ', # 0xad
'Qu ', # 0xae
'Qu ', # 0xaf
'Mou ', # 0xb0
'Fu ', # 0xb1
'Xian ', # 0xb2
'Lai ', # 0xb3
'Qu ', # 0xb4
'Mian ', # 0xb5
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'Qu ', # 0xb9
'Mian ', # 0xba
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'Mo ', # 0xbc
'Mo ', # 0xbd
'Hui ', # 0xbe
'Ma ', # 0xbf
'Zou ', # 0xc0
'Nen ', # 0xc1
'Fen ', # 0xc2
'Huang ', # 0xc3
'Huang ', # 0xc4
'Jin ', # 0xc5
'Guang ', # 0xc6
'Tian ', # 0xc7
'Tou ', # 0xc8
'Heng ', # 0xc9
'Xi ', # 0xca
'Kuang ', # 0xcb
'Heng ', # 0xcc
'Shu ', # 0xcd
'Li ', # 0xce
'Nian ', # 0xcf
'Chi ', # 0xd0
'Hei ', # 0xd1
'Hei ', # 0xd2
'Yi ', # 0xd3
'Qian ', # 0xd4
'Dan ', # 0xd5
'Xi ', # 0xd6
'Tuan ', # 0xd7
'Mo ', # 0xd8
'Mo ', # 0xd9
'Qian ', # 0xda
'Dai ', # 0xdb
'Chu ', # 0xdc
'You ', # 0xdd
'Dian ', # 0xde
'Yi ', # 0xdf
'Xia ', # 0xe0
'Yan ', # 0xe1
'Qu ', # 0xe2
'Mei ', # 0xe3
'Yan ', # 0xe4
'Jing ', # 0xe5
'Yu ', # 0xe6
'Li ', # 0xe7
'Dang ', # 0xe8
'Du ', # 0xe9
'Can ', # 0xea
'Yin ', # 0xeb
'An ', # 0xec
'Yan ', # 0xed
'Tan ', # 0xee
'An ', # 0xef
'Zhen ', # 0xf0
'Dai ', # 0xf1
'Can ', # 0xf2
'Yi ', # 0xf3
'Mei ', # 0xf4
'Dan ', # 0xf5
'Yan ', # 0xf6
'Du ', # 0xf7
'Lu ', # 0xf8
'Zhi ', # 0xf9
'Fen ', # 0xfa
'Fu ', # 0xfb
'Fu ', # 0xfc
'Min ', # 0xfd
'Min ', # 0xfe
'Yuan ', # 0xff
)
x09f = (
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'Qu ', # 0x01
'Chao ', # 0x02
'Wa ', # 0x03
'Zhu ', # 0x04
'Zhi ', # 0x05
'Mang ', # 0x06
'Ao ', # 0x07
'Bie ', # 0x08
'Tuo ', # 0x09
'Bi ', # 0x0a
'Yuan ', # 0x0b
'Chao ', # 0x0c
'Tuo ', # 0x0d
'Ding ', # 0x0e
'Mi ', # 0x0f
'Nai ', # 0x10
'Ding ', # 0x11
'Zi ', # 0x12
'Gu ', # 0x13
'Gu ', # 0x14
'Dong ', # 0x15
'Fen ', # 0x16
'Tao ', # 0x17
'Yuan ', # 0x18
'Pi ', # 0x19
'Chang ', # 0x1a
'Gao ', # 0x1b
'Qi ', # 0x1c
'Yuan ', # 0x1d
'Tang ', # 0x1e
'Teng ', # 0x1f
'Shu ', # 0x20
'Shu ', # 0x21
'Fen ', # 0x22
'Fei ', # 0x23
'Wen ', # 0x24
'Ba ', # 0x25
'Diao ', # 0x26
'Tuo ', # 0x27
'Tong ', # 0x28
'Qu ', # 0x29
'Sheng ', # 0x2a
'Shi ', # 0x2b
'You ', # 0x2c
'Shi ', # 0x2d
'Ting ', # 0x2e
'Wu ', # 0x2f
'Nian ', # 0x30
'Jing ', # 0x31
'Hun ', # 0x32
'Ju ', # 0x33
'Yan ', # 0x34
'Tu ', # 0x35
'Ti ', # 0x36
'Xi ', # 0x37
'Xian ', # 0x38
'Yan ', # 0x39
'Lei ', # 0x3a
'Bi ', # 0x3b
'Yao ', # 0x3c
'Qiu ', # 0x3d
'Han ', # 0x3e
'Wu ', # 0x3f
'Wu ', # 0x40
'Hou ', # 0x41
'Xi ', # 0x42
'Ge ', # 0x43
'Zha ', # 0x44
'Xiu ', # 0x45
'Weng ', # 0x46
'Zha ', # 0x47
'Nong ', # 0x48
'Nang ', # 0x49
'Qi ', # 0x4a
'Zhai ', # 0x4b
'Ji ', # 0x4c
'Zi ', # 0x4d
'Ji ', # 0x4e
'Ji ', # 0x4f
'Qi ', # 0x50
'Ji ', # 0x51
'Chi ', # 0x52
'Chen ', # 0x53
'Chen ', # 0x54
'He ', # 0x55
'Ya ', # 0x56
'Ken ', # 0x57
'Xie ', # 0x58
'Pao ', # 0x59
'Cuo ', # 0x5a
'Shi ', # 0x5b
'Zi ', # 0x5c
'Chi ', # 0x5d
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'Tiao ', # 0x60
'Ling ', # 0x61
'Ling ', # 0x62
'Chu ', # 0x63
'Quan ', # 0x64
'Xie ', # 0x65
'Ken ', # 0x66
'Nie ', # 0x67
'Jiu ', # 0x68
'Yao ', # 0x69
'Chuo ', # 0x6a
'Kun ', # 0x6b
'Yu ', # 0x6c
'Chu ', # 0x6d
'Yi ', # 0x6e
'Ni ', # 0x6f
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'Zou ', # 0x71
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'Nen ', # 0x73
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'Ou ', # 0x75
'E ', # 0x76
'Wo ', # 0x77
'Yi ', # 0x78
'Chuo ', # 0x79
'Zou ', # 0x7a
'Dian ', # 0x7b
'Chu ', # 0x7c
'Jin ', # 0x7d
'Ya ', # 0x7e
'Chi ', # 0x7f
'Chen ', # 0x80
'He ', # 0x81
'Ken ', # 0x82
'Ju ', # 0x83
'Ling ', # 0x84
'Pao ', # 0x85
'Tiao ', # 0x86
'Zi ', # 0x87
'Ken ', # 0x88
'Yu ', # 0x89
'Chuo ', # 0x8a
'Qu ', # 0x8b
'Wo ', # 0x8c
'Long ', # 0x8d
'Pang ', # 0x8e
'Gong ', # 0x8f
'Pang ', # 0x90
'Yan ', # 0x91
'Long ', # 0x92
'Long ', # 0x93
'Gong ', # 0x94
'Kan ', # 0x95
'Ta ', # 0x96
'Ling ', # 0x97
'Ta ', # 0x98
'Long ', # 0x99
'Gong ', # 0x9a
'Kan ', # 0x9b
'Gui ', # 0x9c
'Qiu ', # 0x9d
'Bie ', # 0x9e
'Gui ', # 0x9f
'Yue ', # 0xa0
'Chui ', # 0xa1
'He ', # 0xa2
'Jue ', # 0xa3
'Xie ', # 0xa4
'Yu ', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x0a0 = (
'it', # 0x00
'ix', # 0x01
'i', # 0x02
'ip', # 0x03
'iet', # 0x04
'iex', # 0x05
'ie', # 0x06
'iep', # 0x07
'at', # 0x08
'ax', # 0x09
'a', # 0x0a
'ap', # 0x0b
'uox', # 0x0c
'uo', # 0x0d
'uop', # 0x0e
'ot', # 0x0f
'ox', # 0x10
'o', # 0x11
'op', # 0x12
'ex', # 0x13
'e', # 0x14
'wu', # 0x15
'bit', # 0x16
'bix', # 0x17
'bi', # 0x18
'bip', # 0x19
'biet', # 0x1a
'biex', # 0x1b
'bie', # 0x1c
'biep', # 0x1d
'bat', # 0x1e
'bax', # 0x1f
'ba', # 0x20
'bap', # 0x21
'buox', # 0x22
'buo', # 0x23
'buop', # 0x24
'bot', # 0x25
'box', # 0x26
'bo', # 0x27
'bop', # 0x28
'bex', # 0x29
'be', # 0x2a
'bep', # 0x2b
'but', # 0x2c
'bux', # 0x2d
'bu', # 0x2e
'bup', # 0x2f
'burx', # 0x30
'bur', # 0x31
'byt', # 0x32
'byx', # 0x33
'by', # 0x34
'byp', # 0x35
'byrx', # 0x36
'byr', # 0x37
'pit', # 0x38
'pix', # 0x39
'pi', # 0x3a
'pip', # 0x3b
'piex', # 0x3c
'pie', # 0x3d
'piep', # 0x3e
'pat', # 0x3f
'pax', # 0x40
'pa', # 0x41
'pap', # 0x42
'puox', # 0x43
'puo', # 0x44
'puop', # 0x45
'pot', # 0x46
'pox', # 0x47
'po', # 0x48
'pop', # 0x49
'put', # 0x4a
'pux', # 0x4b
'pu', # 0x4c
'pup', # 0x4d
'purx', # 0x4e
'pur', # 0x4f
'pyt', # 0x50
'pyx', # 0x51
'py', # 0x52
'pyp', # 0x53
'pyrx', # 0x54
'pyr', # 0x55
'bbit', # 0x56
'bbix', # 0x57
'bbi', # 0x58
'bbip', # 0x59
'bbiet', # 0x5a
'bbiex', # 0x5b
'bbie', # 0x5c
'bbiep', # 0x5d
'bbat', # 0x5e
'bbax', # 0x5f
'bba', # 0x60
'bbap', # 0x61
'bbuox', # 0x62
'bbuo', # 0x63
'bbuop', # 0x64
'bbot', # 0x65
'bbox', # 0x66
'bbo', # 0x67
'bbop', # 0x68
'bbex', # 0x69
'bbe', # 0x6a
'bbep', # 0x6b
'bbut', # 0x6c
'bbux', # 0x6d
'bbu', # 0x6e
'bbup', # 0x6f
'bburx', # 0x70
'bbur', # 0x71
'bbyt', # 0x72
'bbyx', # 0x73
'bby', # 0x74
'bbyp', # 0x75
'nbit', # 0x76
'nbix', # 0x77
'nbi', # 0x78
'nbip', # 0x79
'nbiex', # 0x7a
'nbie', # 0x7b
'nbiep', # 0x7c
'nbat', # 0x7d
'nbax', # 0x7e
'nba', # 0x7f
'nbap', # 0x80
'nbot', # 0x81
'nbox', # 0x82
'nbo', # 0x83
'nbop', # 0x84
'nbut', # 0x85
'nbux', # 0x86
'nbu', # 0x87
'nbup', # 0x88
'nburx', # 0x89
'nbur', # 0x8a
'nbyt', # 0x8b
'nbyx', # 0x8c
'nby', # 0x8d
'nbyp', # 0x8e
'nbyrx', # 0x8f
'nbyr', # 0x90
'hmit', # 0x91
'hmix', # 0x92
'hmi', # 0x93
'hmip', # 0x94
'hmiex', # 0x95
'hmie', # 0x96
'hmiep', # 0x97
'hmat', # 0x98
'hmax', # 0x99
'hma', # 0x9a
'hmap', # 0x9b
'hmuox', # 0x9c
'hmuo', # 0x9d
'hmuop', # 0x9e
'hmot', # 0x9f
'hmox', # 0xa0
'hmo', # 0xa1
'hmop', # 0xa2
'hmut', # 0xa3
'hmux', # 0xa4
'hmu', # 0xa5
'hmup', # 0xa6
'hmurx', # 0xa7
'hmur', # 0xa8
'hmyx', # 0xa9
'hmy', # 0xaa
'hmyp', # 0xab
'hmyrx', # 0xac
'hmyr', # 0xad
'mit', # 0xae
'mix', # 0xaf
'mi', # 0xb0
'mip', # 0xb1
'miex', # 0xb2
'mie', # 0xb3
'miep', # 0xb4
'mat', # 0xb5
'max', # 0xb6
'ma', # 0xb7
'map', # 0xb8
'muot', # 0xb9
'muox', # 0xba
'muo', # 0xbb
'muop', # 0xbc
'mot', # 0xbd
'mox', # 0xbe
'mo', # 0xbf
'mop', # 0xc0
'mex', # 0xc1
'me', # 0xc2
'mut', # 0xc3
'mux', # 0xc4
'mu', # 0xc5
'mup', # 0xc6
'murx', # 0xc7
'mur', # 0xc8
'myt', # 0xc9
'myx', # 0xca
'my', # 0xcb
'myp', # 0xcc
'fit', # 0xcd
'fix', # 0xce
'fi', # 0xcf
'fip', # 0xd0
'fat', # 0xd1
'fax', # 0xd2
'fa', # 0xd3
'fap', # 0xd4
'fox', # 0xd5
'fo', # 0xd6
'fop', # 0xd7
'fut', # 0xd8
'fux', # 0xd9
'fu', # 0xda
'fup', # 0xdb
'furx', # 0xdc
'fur', # 0xdd
'fyt', # 0xde
'fyx', # 0xdf
'fy', # 0xe0
'fyp', # 0xe1
'vit', # 0xe2
'vix', # 0xe3
'vi', # 0xe4
'vip', # 0xe5
'viet', # 0xe6
'viex', # 0xe7
'vie', # 0xe8
'viep', # 0xe9
'vat', # 0xea
'vax', # 0xeb
'va', # 0xec
'vap', # 0xed
'vot', # 0xee
'vox', # 0xef
'vo', # 0xf0
'vop', # 0xf1
'vex', # 0xf2
'vep', # 0xf3
'vut', # 0xf4
'vux', # 0xf5
'vu', # 0xf6
'vup', # 0xf7
'vurx', # 0xf8
'vur', # 0xf9
'vyt', # 0xfa
'vyx', # 0xfb
'vy', # 0xfc
'vyp', # 0xfd
'vyrx', # 0xfe
'vyr', # 0xff
)
x0a1 = (
'dit', # 0x00
'dix', # 0x01
'di', # 0x02
'dip', # 0x03
'diex', # 0x04
'die', # 0x05
'diep', # 0x06
'dat', # 0x07
'dax', # 0x08
'da', # 0x09
'dap', # 0x0a
'duox', # 0x0b
'duo', # 0x0c
'dot', # 0x0d
'dox', # 0x0e
'do', # 0x0f
'dop', # 0x10
'dex', # 0x11
'de', # 0x12
'dep', # 0x13
'dut', # 0x14
'dux', # 0x15
'du', # 0x16
'dup', # 0x17
'durx', # 0x18
'dur', # 0x19
'tit', # 0x1a
'tix', # 0x1b
'ti', # 0x1c
'tip', # 0x1d
'tiex', # 0x1e
'tie', # 0x1f
'tiep', # 0x20
'tat', # 0x21
'tax', # 0x22
'ta', # 0x23
'tap', # 0x24
'tuot', # 0x25
'tuox', # 0x26
'tuo', # 0x27
'tuop', # 0x28
'tot', # 0x29
'tox', # 0x2a
'to', # 0x2b
'top', # 0x2c
'tex', # 0x2d
'te', # 0x2e
'tep', # 0x2f
'tut', # 0x30
'tux', # 0x31
'tu', # 0x32
'tup', # 0x33
'turx', # 0x34
'tur', # 0x35
'ddit', # 0x36
'ddix', # 0x37
'ddi', # 0x38
'ddip', # 0x39
'ddiex', # 0x3a
'ddie', # 0x3b
'ddiep', # 0x3c
'ddat', # 0x3d
'ddax', # 0x3e
'dda', # 0x3f
'ddap', # 0x40
'dduox', # 0x41
'dduo', # 0x42
'dduop', # 0x43
'ddot', # 0x44
'ddox', # 0x45
'ddo', # 0x46
'ddop', # 0x47
'ddex', # 0x48
'dde', # 0x49
'ddep', # 0x4a
'ddut', # 0x4b
'ddux', # 0x4c
'ddu', # 0x4d
'ddup', # 0x4e
'ddurx', # 0x4f
'ddur', # 0x50
'ndit', # 0x51
'ndix', # 0x52
'ndi', # 0x53
'ndip', # 0x54
'ndiex', # 0x55
'ndie', # 0x56
'ndat', # 0x57
'ndax', # 0x58
'nda', # 0x59
'ndap', # 0x5a
'ndot', # 0x5b
'ndox', # 0x5c
'ndo', # 0x5d
'ndop', # 0x5e
'ndex', # 0x5f
'nde', # 0x60
'ndep', # 0x61
'ndut', # 0x62
'ndux', # 0x63
'ndu', # 0x64
'ndup', # 0x65
'ndurx', # 0x66
'ndur', # 0x67
'hnit', # 0x68
'hnix', # 0x69
'hni', # 0x6a
'hnip', # 0x6b
'hniet', # 0x6c
'hniex', # 0x6d
'hnie', # 0x6e
'hniep', # 0x6f
'hnat', # 0x70
'hnax', # 0x71
'hna', # 0x72
'hnap', # 0x73
'hnuox', # 0x74
'hnuo', # 0x75
'hnot', # 0x76
'hnox', # 0x77
'hnop', # 0x78
'hnex', # 0x79
'hne', # 0x7a
'hnep', # 0x7b
'hnut', # 0x7c
'nit', # 0x7d
'nix', # 0x7e
'ni', # 0x7f
'nip', # 0x80
'niex', # 0x81
'nie', # 0x82
'niep', # 0x83
'nax', # 0x84
'na', # 0x85
'nap', # 0x86
'nuox', # 0x87
'nuo', # 0x88
'nuop', # 0x89
'not', # 0x8a
'nox', # 0x8b
'no', # 0x8c
'nop', # 0x8d
'nex', # 0x8e
'ne', # 0x8f
'nep', # 0x90
'nut', # 0x91
'nux', # 0x92
'nu', # 0x93
'nup', # 0x94
'nurx', # 0x95
'nur', # 0x96
'hlit', # 0x97
'hlix', # 0x98
'hli', # 0x99
'hlip', # 0x9a
'hliex', # 0x9b
'hlie', # 0x9c
'hliep', # 0x9d
'hlat', # 0x9e
'hlax', # 0x9f
'hla', # 0xa0
'hlap', # 0xa1
'hluox', # 0xa2
'hluo', # 0xa3
'hluop', # 0xa4
'hlox', # 0xa5
'hlo', # 0xa6
'hlop', # 0xa7
'hlex', # 0xa8
'hle', # 0xa9
'hlep', # 0xaa
'hlut', # 0xab
'hlux', # 0xac
'hlu', # 0xad
'hlup', # 0xae
'hlurx', # 0xaf
'hlur', # 0xb0
'hlyt', # 0xb1
'hlyx', # 0xb2
'hly', # 0xb3
'hlyp', # 0xb4
'hlyrx', # 0xb5
'hlyr', # 0xb6
'lit', # 0xb7
'lix', # 0xb8
'li', # 0xb9
'lip', # 0xba
'liet', # 0xbb
'liex', # 0xbc
'lie', # 0xbd
'liep', # 0xbe
'lat', # 0xbf
'lax', # 0xc0
'la', # 0xc1
'lap', # 0xc2
'luot', # 0xc3
'luox', # 0xc4
'luo', # 0xc5
'luop', # 0xc6
'lot', # 0xc7
'lox', # 0xc8
'lo', # 0xc9
'lop', # 0xca
'lex', # 0xcb
'le', # 0xcc
'lep', # 0xcd
'lut', # 0xce
'lux', # 0xcf
'lu', # 0xd0
'lup', # 0xd1
'lurx', # 0xd2
'lur', # 0xd3
'lyt', # 0xd4
'lyx', # 0xd5
'ly', # 0xd6
'lyp', # 0xd7
'lyrx', # 0xd8
'lyr', # 0xd9
'git', # 0xda
'gix', # 0xdb
'gi', # 0xdc
'gip', # 0xdd
'giet', # 0xde
'giex', # 0xdf
'gie', # 0xe0
'giep', # 0xe1
'gat', # 0xe2
'gax', # 0xe3
'ga', # 0xe4
'gap', # 0xe5
'guot', # 0xe6
'guox', # 0xe7
'guo', # 0xe8
'guop', # 0xe9
'got', # 0xea
'gox', # 0xeb
'go', # 0xec
'gop', # 0xed
'get', # 0xee
'gex', # 0xef
'ge', # 0xf0
'gep', # 0xf1
'gut', # 0xf2
'gux', # 0xf3
'gu', # 0xf4
'gup', # 0xf5
'gurx', # 0xf6
'gur', # 0xf7
'kit', # 0xf8
'kix', # 0xf9
'ki', # 0xfa
'kip', # 0xfb
'kiex', # 0xfc
'kie', # 0xfd
'kiep', # 0xfe
'kat', # 0xff
)
x0a2 = (
'kax', # 0x00
'ka', # 0x01
'kap', # 0x02
'kuox', # 0x03
'kuo', # 0x04
'kuop', # 0x05
'kot', # 0x06
'kox', # 0x07
'ko', # 0x08
'kop', # 0x09
'ket', # 0x0a
'kex', # 0x0b
'ke', # 0x0c
'kep', # 0x0d
'kut', # 0x0e
'kux', # 0x0f
'ku', # 0x10
'kup', # 0x11
'kurx', # 0x12
'kur', # 0x13
'ggit', # 0x14
'ggix', # 0x15
'ggi', # 0x16
'ggiex', # 0x17
'ggie', # 0x18
'ggiep', # 0x19
'ggat', # 0x1a
'ggax', # 0x1b
'gga', # 0x1c
'ggap', # 0x1d
'gguot', # 0x1e
'gguox', # 0x1f
'gguo', # 0x20
'gguop', # 0x21
'ggot', # 0x22
'ggox', # 0x23
'ggo', # 0x24
'ggop', # 0x25
'gget', # 0x26
'ggex', # 0x27
'gge', # 0x28
'ggep', # 0x29
'ggut', # 0x2a
'ggux', # 0x2b
'ggu', # 0x2c
'ggup', # 0x2d
'ggurx', # 0x2e
'ggur', # 0x2f
'mgiex', # 0x30
'mgie', # 0x31
'mgat', # 0x32
'mgax', # 0x33
'mga', # 0x34
'mgap', # 0x35
'mguox', # 0x36
'mguo', # 0x37
'mguop', # 0x38
'mgot', # 0x39
'mgox', # 0x3a
'mgo', # 0x3b
'mgop', # 0x3c
'mgex', # 0x3d
'mge', # 0x3e
'mgep', # 0x3f
'mgut', # 0x40
'mgux', # 0x41
'mgu', # 0x42
'mgup', # 0x43
'mgurx', # 0x44
'mgur', # 0x45
'hxit', # 0x46
'hxix', # 0x47
'hxi', # 0x48
'hxip', # 0x49
'hxiet', # 0x4a
'hxiex', # 0x4b
'hxie', # 0x4c
'hxiep', # 0x4d
'hxat', # 0x4e
'hxax', # 0x4f
'hxa', # 0x50
'hxap', # 0x51
'hxuot', # 0x52
'hxuox', # 0x53
'hxuo', # 0x54
'hxuop', # 0x55
'hxot', # 0x56
'hxox', # 0x57
'hxo', # 0x58
'hxop', # 0x59
'hxex', # 0x5a
'hxe', # 0x5b
'hxep', # 0x5c
'ngiex', # 0x5d
'ngie', # 0x5e
'ngiep', # 0x5f
'ngat', # 0x60
'ngax', # 0x61
'nga', # 0x62
'ngap', # 0x63
'nguot', # 0x64
'nguox', # 0x65
'nguo', # 0x66
'ngot', # 0x67
'ngox', # 0x68
'ngo', # 0x69
'ngop', # 0x6a
'ngex', # 0x6b
'nge', # 0x6c
'ngep', # 0x6d
'hit', # 0x6e
'hiex', # 0x6f
'hie', # 0x70
'hat', # 0x71
'hax', # 0x72
'ha', # 0x73
'hap', # 0x74
'huot', # 0x75
'huox', # 0x76
'huo', # 0x77
'huop', # 0x78
'hot', # 0x79
'hox', # 0x7a
'ho', # 0x7b
'hop', # 0x7c
'hex', # 0x7d
'he', # 0x7e
'hep', # 0x7f
'wat', # 0x80
'wax', # 0x81
'wa', # 0x82
'wap', # 0x83
'wuox', # 0x84
'wuo', # 0x85
'wuop', # 0x86
'wox', # 0x87
'wo', # 0x88
'wop', # 0x89
'wex', # 0x8a
'we', # 0x8b
'wep', # 0x8c
'zit', # 0x8d
'zix', # 0x8e
'zi', # 0x8f
'zip', # 0x90
'ziex', # 0x91
'zie', # 0x92
'ziep', # 0x93
'zat', # 0x94
'zax', # 0x95
'za', # 0x96
'zap', # 0x97
'zuox', # 0x98
'zuo', # 0x99
'zuop', # 0x9a
'zot', # 0x9b
'zox', # 0x9c
'zo', # 0x9d
'zop', # 0x9e
'zex', # 0x9f
'ze', # 0xa0
'zep', # 0xa1
'zut', # 0xa2
'zux', # 0xa3
'zu', # 0xa4
'zup', # 0xa5
'zurx', # 0xa6
'zur', # 0xa7
'zyt', # 0xa8
'zyx', # 0xa9
'zy', # 0xaa
'zyp', # 0xab
'zyrx', # 0xac
'zyr', # 0xad
'cit', # 0xae
'cix', # 0xaf
'ci', # 0xb0
'cip', # 0xb1
'ciet', # 0xb2
'ciex', # 0xb3
'cie', # 0xb4
'ciep', # 0xb5
'cat', # 0xb6
'cax', # 0xb7
'ca', # 0xb8
'cap', # 0xb9
'cuox', # 0xba
'cuo', # 0xbb
'cuop', # 0xbc
'cot', # 0xbd
'cox', # 0xbe
'co', # 0xbf
'cop', # 0xc0
'cex', # 0xc1
'ce', # 0xc2
'cep', # 0xc3
'cut', # 0xc4
'cux', # 0xc5
'cu', # 0xc6
'cup', # 0xc7
'curx', # 0xc8
'cur', # 0xc9
'cyt', # 0xca
'cyx', # 0xcb
'cy', # 0xcc
'cyp', # 0xcd
'cyrx', # 0xce
'cyr', # 0xcf
'zzit', # 0xd0
'zzix', # 0xd1
'zzi', # 0xd2
'zzip', # 0xd3
'zziet', # 0xd4
'zziex', # 0xd5
'zzie', # 0xd6
'zziep', # 0xd7
'zzat', # 0xd8
'zzax', # 0xd9
'zza', # 0xda
'zzap', # 0xdb
'zzox', # 0xdc
'zzo', # 0xdd
'zzop', # 0xde
'zzex', # 0xdf
'zze', # 0xe0
'zzep', # 0xe1
'zzux', # 0xe2
'zzu', # 0xe3
'zzup', # 0xe4
'zzurx', # 0xe5
'zzur', # 0xe6
'zzyt', # 0xe7
'zzyx', # 0xe8
'zzy', # 0xe9
'zzyp', # 0xea
'zzyrx', # 0xeb
'zzyr', # 0xec
'nzit', # 0xed
'nzix', # 0xee
'nzi', # 0xef
'nzip', # 0xf0
'nziex', # 0xf1
'nzie', # 0xf2
'nziep', # 0xf3
'nzat', # 0xf4
'nzax', # 0xf5
'nza', # 0xf6
'nzap', # 0xf7
'nzuox', # 0xf8
'nzuo', # 0xf9
'nzox', # 0xfa
'nzop', # 0xfb
'nzex', # 0xfc
'nze', # 0xfd
'nzux', # 0xfe
'nzu', # 0xff
)
x0a3 = (
'nzup', # 0x00
'nzurx', # 0x01
'nzur', # 0x02
'nzyt', # 0x03
'nzyx', # 0x04
'nzy', # 0x05
'nzyp', # 0x06
'nzyrx', # 0x07
'nzyr', # 0x08
'sit', # 0x09
'six', # 0x0a
'si', # 0x0b
'sip', # 0x0c
'siex', # 0x0d
'sie', # 0x0e
'siep', # 0x0f
'sat', # 0x10
'sax', # 0x11
'sa', # 0x12
'sap', # 0x13
'suox', # 0x14
'suo', # 0x15
'suop', # 0x16
'sot', # 0x17
'sox', # 0x18
'so', # 0x19
'sop', # 0x1a
'sex', # 0x1b
'se', # 0x1c
'sep', # 0x1d
'sut', # 0x1e
'sux', # 0x1f
'su', # 0x20
'sup', # 0x21
'surx', # 0x22
'sur', # 0x23
'syt', # 0x24
'syx', # 0x25
'sy', # 0x26
'syp', # 0x27
'syrx', # 0x28
'syr', # 0x29
'ssit', # 0x2a
'ssix', # 0x2b
'ssi', # 0x2c
'ssip', # 0x2d
'ssiex', # 0x2e
'ssie', # 0x2f
'ssiep', # 0x30
'ssat', # 0x31
'ssax', # 0x32
'ssa', # 0x33
'ssap', # 0x34
'ssot', # 0x35
'ssox', # 0x36
'sso', # 0x37
'ssop', # 0x38
'ssex', # 0x39
'sse', # 0x3a
'ssep', # 0x3b
'ssut', # 0x3c
'ssux', # 0x3d
'ssu', # 0x3e
'ssup', # 0x3f
'ssyt', # 0x40
'ssyx', # 0x41
'ssy', # 0x42
'ssyp', # 0x43
'ssyrx', # 0x44
'ssyr', # 0x45
'zhat', # 0x46
'zhax', # 0x47
'zha', # 0x48
'zhap', # 0x49
'zhuox', # 0x4a
'zhuo', # 0x4b
'zhuop', # 0x4c
'zhot', # 0x4d
'zhox', # 0x4e
'zho', # 0x4f
'zhop', # 0x50
'zhet', # 0x51
'zhex', # 0x52
'zhe', # 0x53
'zhep', # 0x54
'zhut', # 0x55
'zhux', # 0x56
'zhu', # 0x57
'zhup', # 0x58
'zhurx', # 0x59
'zhur', # 0x5a
'zhyt', # 0x5b
'zhyx', # 0x5c
'zhy', # 0x5d
'zhyp', # 0x5e
'zhyrx', # 0x5f
'zhyr', # 0x60
'chat', # 0x61
'chax', # 0x62
'cha', # 0x63
'chap', # 0x64
'chuot', # 0x65
'chuox', # 0x66
'chuo', # 0x67
'chuop', # 0x68
'chot', # 0x69
'chox', # 0x6a
'cho', # 0x6b
'chop', # 0x6c
'chet', # 0x6d
'chex', # 0x6e
'che', # 0x6f
'chep', # 0x70
'chux', # 0x71
'chu', # 0x72
'chup', # 0x73
'churx', # 0x74
'chur', # 0x75
'chyt', # 0x76
'chyx', # 0x77
'chy', # 0x78
'chyp', # 0x79
'chyrx', # 0x7a
'chyr', # 0x7b
'rrax', # 0x7c
'rra', # 0x7d
'rruox', # 0x7e
'rruo', # 0x7f
'rrot', # 0x80
'rrox', # 0x81
'rro', # 0x82
'rrop', # 0x83
'rret', # 0x84
'rrex', # 0x85
'rre', # 0x86
'rrep', # 0x87
'rrut', # 0x88
'rrux', # 0x89
'rru', # 0x8a
'rrup', # 0x8b
'rrurx', # 0x8c
'rrur', # 0x8d
'rryt', # 0x8e
'rryx', # 0x8f
'rry', # 0x90
'rryp', # 0x91
'rryrx', # 0x92
'rryr', # 0x93
'nrat', # 0x94
'nrax', # 0x95
'nra', # 0x96
'nrap', # 0x97
'nrox', # 0x98
'nro', # 0x99
'nrop', # 0x9a
'nret', # 0x9b
'nrex', # 0x9c
'nre', # 0x9d
'nrep', # 0x9e
'nrut', # 0x9f
'nrux', # 0xa0
'nru', # 0xa1
'nrup', # 0xa2
'nrurx', # 0xa3
'nrur', # 0xa4
'nryt', # 0xa5
'nryx', # 0xa6
'nry', # 0xa7
'nryp', # 0xa8
'nryrx', # 0xa9
'nryr', # 0xaa
'shat', # 0xab
'shax', # 0xac
'sha', # 0xad
'shap', # 0xae
'shuox', # 0xaf
'shuo', # 0xb0
'shuop', # 0xb1
'shot', # 0xb2
'shox', # 0xb3
'sho', # 0xb4
'shop', # 0xb5
'shet', # 0xb6
'shex', # 0xb7
'she', # 0xb8
'shep', # 0xb9
'shut', # 0xba
'shux', # 0xbb
'shu', # 0xbc
'shup', # 0xbd
'shurx', # 0xbe
'shur', # 0xbf
'shyt', # 0xc0
'shyx', # 0xc1
'shy', # 0xc2
'shyp', # 0xc3
'shyrx', # 0xc4
'shyr', # 0xc5
'rat', # 0xc6
'rax', # 0xc7
'ra', # 0xc8
'rap', # 0xc9
'ruox', # 0xca
'ruo', # 0xcb
'ruop', # 0xcc
'rot', # 0xcd
'rox', # 0xce
'ro', # 0xcf
'rop', # 0xd0
'rex', # 0xd1
're', # 0xd2
'rep', # 0xd3
'rut', # 0xd4
'rux', # 0xd5
'ru', # 0xd6
'rup', # 0xd7
'rurx', # 0xd8
'rur', # 0xd9
'ryt', # 0xda
'ryx', # 0xdb
'ry', # 0xdc
'ryp', # 0xdd
'ryrx', # 0xde
'ryr', # 0xdf
'jit', # 0xe0
'jix', # 0xe1
'ji', # 0xe2
'jip', # 0xe3
'jiet', # 0xe4
'jiex', # 0xe5
'jie', # 0xe6
'jiep', # 0xe7
'juot', # 0xe8
'juox', # 0xe9
'juo', # 0xea
'juop', # 0xeb
'jot', # 0xec
'jox', # 0xed
'jo', # 0xee
'jop', # 0xef
'jut', # 0xf0
'jux', # 0xf1
'ju', # 0xf2
'jup', # 0xf3
'jurx', # 0xf4
'jur', # 0xf5
'jyt', # 0xf6
'jyx', # 0xf7
'jy', # 0xf8
'jyp', # 0xf9
'jyrx', # 0xfa
'jyr', # 0xfb
'qit', # 0xfc
'qix', # 0xfd
'qi', # 0xfe
'qip', # 0xff
)
x0a4 = (
'qiet', # 0x00
'qiex', # 0x01
'qie', # 0x02
'qiep', # 0x03
'quot', # 0x04
'quox', # 0x05
'quo', # 0x06
'quop', # 0x07
'qot', # 0x08
'qox', # 0x09
'qo', # 0x0a
'qop', # 0x0b
'qut', # 0x0c
'qux', # 0x0d
'qu', # 0x0e
'qup', # 0x0f
'qurx', # 0x10
'qur', # 0x11
'qyt', # 0x12
'qyx', # 0x13
'qy', # 0x14
'qyp', # 0x15
'qyrx', # 0x16
'qyr', # 0x17
'jjit', # 0x18
'jjix', # 0x19
'jji', # 0x1a
'jjip', # 0x1b
'jjiet', # 0x1c
'jjiex', # 0x1d
'jjie', # 0x1e
'jjiep', # 0x1f
'jjuox', # 0x20
'jjuo', # 0x21
'jjuop', # 0x22
'jjot', # 0x23
'jjox', # 0x24
'jjo', # 0x25
'jjop', # 0x26
'jjut', # 0x27
'jjux', # 0x28
'jju', # 0x29
'jjup', # 0x2a
'jjurx', # 0x2b
'jjur', # 0x2c
'jjyt', # 0x2d
'jjyx', # 0x2e
'jjy', # 0x2f
'jjyp', # 0x30
'njit', # 0x31
'njix', # 0x32
'nji', # 0x33
'njip', # 0x34
'njiet', # 0x35
'njiex', # 0x36
'njie', # 0x37
'njiep', # 0x38
'njuox', # 0x39
'njuo', # 0x3a
'njot', # 0x3b
'njox', # 0x3c
'njo', # 0x3d
'njop', # 0x3e
'njux', # 0x3f
'nju', # 0x40
'njup', # 0x41
'njurx', # 0x42
'njur', # 0x43
'njyt', # 0x44
'njyx', # 0x45
'njy', # 0x46
'njyp', # 0x47
'njyrx', # 0x48
'njyr', # 0x49
'nyit', # 0x4a
'nyix', # 0x4b
'nyi', # 0x4c
'nyip', # 0x4d
'nyiet', # 0x4e
'nyiex', # 0x4f
'nyie', # 0x50
'nyiep', # 0x51
'nyuox', # 0x52
'nyuo', # 0x53
'nyuop', # 0x54
'nyot', # 0x55
'nyox', # 0x56
'nyo', # 0x57
'nyop', # 0x58
'nyut', # 0x59
'nyux', # 0x5a
'nyu', # 0x5b
'nyup', # 0x5c
'xit', # 0x5d
'xix', # 0x5e
'xi', # 0x5f
'xip', # 0x60
'xiet', # 0x61
'xiex', # 0x62
'xie', # 0x63
'xiep', # 0x64
'xuox', # 0x65
'xuo', # 0x66
'xot', # 0x67
'xox', # 0x68
'xo', # 0x69
'xop', # 0x6a
'xyt', # 0x6b
'xyx', # 0x6c
'xy', # 0x6d
'xyp', # 0x6e
'xyrx', # 0x6f
'xyr', # 0x70
'yit', # 0x71
'yix', # 0x72
'yi', # 0x73
'yip', # 0x74
'yiet', # 0x75
'yiex', # 0x76
'yie', # 0x77
'yiep', # 0x78
'yuot', # 0x79
'yuox', # 0x7a
'yuo', # 0x7b
'yuop', # 0x7c
'yot', # 0x7d
'yox', # 0x7e
'yo', # 0x7f
'yop', # 0x80
'yut', # 0x81
'yux', # 0x82
'yu', # 0x83
'yup', # 0x84
'yurx', # 0x85
'yur', # 0x86
'yyt', # 0x87
'yyx', # 0x88
'yy', # 0x89
'yyp', # 0x8a
'yyrx', # 0x8b
'yyr', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'Qot', # 0x90
'Li', # 0x91
'Kit', # 0x92
'Nyip', # 0x93
'Cyp', # 0x94
'Ssi', # 0x95
'Ggop', # 0x96
'Gep', # 0x97
'Mi', # 0x98
'Hxit', # 0x99
'Lyr', # 0x9a
'Bbut', # 0x9b
'Mop', # 0x9c
'Yo', # 0x9d
'Put', # 0x9e
'Hxuo', # 0x9f
'Tat', # 0xa0
'Ga', # 0xa1
'[?]', # 0xa2
'[?]', # 0xa3
'Ddur', # 0xa4
'Bur', # 0xa5
'Gguo', # 0xa6
'Nyop', # 0xa7
'Tu', # 0xa8
'Op', # 0xa9
'Jjut', # 0xaa
'Zot', # 0xab
'Pyt', # 0xac
'Hmo', # 0xad
'Yit', # 0xae
'Vur', # 0xaf
'Shy', # 0xb0
'Vep', # 0xb1
'Za', # 0xb2
'Jo', # 0xb3
'[?]', # 0xb4
'Jjy', # 0xb5
'Got', # 0xb6
'Jjie', # 0xb7
'Wo', # 0xb8
'Du', # 0xb9
'Shur', # 0xba
'Lie', # 0xbb
'Cy', # 0xbc
'Cuop', # 0xbd
'Cip', # 0xbe
'Hxop', # 0xbf
'Shat', # 0xc0
'[?]', # 0xc1
'Shop', # 0xc2
'Che', # 0xc3
'Zziet', # 0xc4
'[?]', # 0xc5
'Ke', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x0ac = (
'ga', # 0x00
'gag', # 0x01
'gagg', # 0x02
'gags', # 0x03
'gan', # 0x04
'ganj', # 0x05
'ganh', # 0x06
'gad', # 0x07
'gal', # 0x08
'galg', # 0x09
'galm', # 0x0a
'galb', # 0x0b
'gals', # 0x0c
'galt', # 0x0d
'galp', # 0x0e
'galh', # 0x0f
'gam', # 0x10
'gab', # 0x11
'gabs', # 0x12
'gas', # 0x13
'gass', # 0x14
'gang', # 0x15
'gaj', # 0x16
'gac', # 0x17
'gak', # 0x18
'gat', # 0x19
'gap', # 0x1a
'gah', # 0x1b
'gae', # 0x1c
'gaeg', # 0x1d
'gaegg', # 0x1e
'gaegs', # 0x1f
'gaen', # 0x20
'gaenj', # 0x21
'gaenh', # 0x22
'gaed', # 0x23
'gael', # 0x24
'gaelg', # 0x25
'gaelm', # 0x26
'gaelb', # 0x27
'gaels', # 0x28
'gaelt', # 0x29
'gaelp', # 0x2a
'gaelh', # 0x2b
'gaem', # 0x2c
'gaeb', # 0x2d
'gaebs', # 0x2e
'gaes', # 0x2f
'gaess', # 0x30
'gaeng', # 0x31
'gaej', # 0x32
'gaec', # 0x33
'gaek', # 0x34
'gaet', # 0x35
'gaep', # 0x36
'gaeh', # 0x37
'gya', # 0x38
'gyag', # 0x39
'gyagg', # 0x3a
'gyags', # 0x3b
'gyan', # 0x3c
'gyanj', # 0x3d
'gyanh', # 0x3e
'gyad', # 0x3f
'gyal', # 0x40
'gyalg', # 0x41
'gyalm', # 0x42
'gyalb', # 0x43
'gyals', # 0x44
'gyalt', # 0x45
'gyalp', # 0x46
'gyalh', # 0x47
'gyam', # 0x48
'gyab', # 0x49
'gyabs', # 0x4a
'gyas', # 0x4b
'gyass', # 0x4c
'gyang', # 0x4d
'gyaj', # 0x4e
'gyac', # 0x4f
'gyak', # 0x50
'gyat', # 0x51
'gyap', # 0x52
'gyah', # 0x53
'gyae', # 0x54
'gyaeg', # 0x55
'gyaegg', # 0x56
'gyaegs', # 0x57
'gyaen', # 0x58
'gyaenj', # 0x59
'gyaenh', # 0x5a
'gyaed', # 0x5b
'gyael', # 0x5c
'gyaelg', # 0x5d
'gyaelm', # 0x5e
'gyaelb', # 0x5f
'gyaels', # 0x60
'gyaelt', # 0x61
'gyaelp', # 0x62
'gyaelh', # 0x63
'gyaem', # 0x64
'gyaeb', # 0x65
'gyaebs', # 0x66
'gyaes', # 0x67
'gyaess', # 0x68
'gyaeng', # 0x69
'gyaej', # 0x6a
'gyaec', # 0x6b
'gyaek', # 0x6c
'gyaet', # 0x6d
'gyaep', # 0x6e
'gyaeh', # 0x6f
'geo', # 0x70
'geog', # 0x71
'geogg', # 0x72
'geogs', # 0x73
'geon', # 0x74
'geonj', # 0x75
'geonh', # 0x76
'geod', # 0x77
'geol', # 0x78
'geolg', # 0x79
'geolm', # 0x7a
'geolb', # 0x7b
'geols', # 0x7c
'geolt', # 0x7d
'geolp', # 0x7e
'geolh', # 0x7f
'geom', # 0x80
'geob', # 0x81
'geobs', # 0x82
'geos', # 0x83
'geoss', # 0x84
'geong', # 0x85
'geoj', # 0x86
'geoc', # 0x87
'geok', # 0x88
'geot', # 0x89
'geop', # 0x8a
'geoh', # 0x8b
'ge', # 0x8c
'geg', # 0x8d
'gegg', # 0x8e
'gegs', # 0x8f
'gen', # 0x90
'genj', # 0x91
'genh', # 0x92
'ged', # 0x93
'gel', # 0x94
'gelg', # 0x95
'gelm', # 0x96
'gelb', # 0x97
'gels', # 0x98
'gelt', # 0x99
'gelp', # 0x9a
'gelh', # 0x9b
'gem', # 0x9c
'geb', # 0x9d
'gebs', # 0x9e
'ges', # 0x9f
'gess', # 0xa0
'geng', # 0xa1
'gej', # 0xa2
'gec', # 0xa3
'gek', # 0xa4
'get', # 0xa5
'gep', # 0xa6
'geh', # 0xa7
'gyeo', # 0xa8
'gyeog', # 0xa9
'gyeogg', # 0xaa
'gyeogs', # 0xab
'gyeon', # 0xac
'gyeonj', # 0xad
'gyeonh', # 0xae
'gyeod', # 0xaf
'gyeol', # 0xb0
'gyeolg', # 0xb1
'gyeolm', # 0xb2
'gyeolb', # 0xb3
'gyeols', # 0xb4
'gyeolt', # 0xb5
'gyeolp', # 0xb6
'gyeolh', # 0xb7
'gyeom', # 0xb8
'gyeob', # 0xb9
'gyeobs', # 0xba
'gyeos', # 0xbb
'gyeoss', # 0xbc
'gyeong', # 0xbd
'gyeoj', # 0xbe
'gyeoc', # 0xbf
'gyeok', # 0xc0
'gyeot', # 0xc1
'gyeop', # 0xc2
'gyeoh', # 0xc3
'gye', # 0xc4
'gyeg', # 0xc5
'gyegg', # 0xc6
'gyegs', # 0xc7
'gyen', # 0xc8
'gyenj', # 0xc9
'gyenh', # 0xca
'gyed', # 0xcb
'gyel', # 0xcc
'gyelg', # 0xcd
'gyelm', # 0xce
'gyelb', # 0xcf
'gyels', # 0xd0
'gyelt', # 0xd1
'gyelp', # 0xd2
'gyelh', # 0xd3
'gyem', # 0xd4
'gyeb', # 0xd5
'gyebs', # 0xd6
'gyes', # 0xd7
'gyess', # 0xd8
'gyeng', # 0xd9
'gyej', # 0xda
'gyec', # 0xdb
'gyek', # 0xdc
'gyet', # 0xdd
'gyep', # 0xde
'gyeh', # 0xdf
'go', # 0xe0
'gog', # 0xe1
'gogg', # 0xe2
'gogs', # 0xe3
'gon', # 0xe4
'gonj', # 0xe5
'gonh', # 0xe6
'god', # 0xe7
'gol', # 0xe8
'golg', # 0xe9
'golm', # 0xea
'golb', # 0xeb
'gols', # 0xec
'golt', # 0xed
'golp', # 0xee
'golh', # 0xef
'gom', # 0xf0
'gob', # 0xf1
'gobs', # 0xf2
'gos', # 0xf3
'goss', # 0xf4
'gong', # 0xf5
'goj', # 0xf6
'goc', # 0xf7
'gok', # 0xf8
'got', # 0xf9
'gop', # 0xfa
'goh', # 0xfb
'gwa', # 0xfc
'gwag', # 0xfd
'gwagg', # 0xfe
'gwags', # 0xff
)
x0ad = (
'gwan', # 0x00
'gwanj', # 0x01
'gwanh', # 0x02
'gwad', # 0x03
'gwal', # 0x04
'gwalg', # 0x05
'gwalm', # 0x06
'gwalb', # 0x07
'gwals', # 0x08
'gwalt', # 0x09
'gwalp', # 0x0a
'gwalh', # 0x0b
'gwam', # 0x0c
'gwab', # 0x0d
'gwabs', # 0x0e
'gwas', # 0x0f
'gwass', # 0x10
'gwang', # 0x11
'gwaj', # 0x12
'gwac', # 0x13
'gwak', # 0x14
'gwat', # 0x15
'gwap', # 0x16
'gwah', # 0x17
'gwae', # 0x18
'gwaeg', # 0x19
'gwaegg', # 0x1a
'gwaegs', # 0x1b
'gwaen', # 0x1c
'gwaenj', # 0x1d
'gwaenh', # 0x1e
'gwaed', # 0x1f
'gwael', # 0x20
'gwaelg', # 0x21
'gwaelm', # 0x22
'gwaelb', # 0x23
'gwaels', # 0x24
'gwaelt', # 0x25
'gwaelp', # 0x26
'gwaelh', # 0x27
'gwaem', # 0x28
'gwaeb', # 0x29
'gwaebs', # 0x2a
'gwaes', # 0x2b
'gwaess', # 0x2c
'gwaeng', # 0x2d
'gwaej', # 0x2e
'gwaec', # 0x2f
'gwaek', # 0x30
'gwaet', # 0x31
'gwaep', # 0x32
'gwaeh', # 0x33
'goe', # 0x34
'goeg', # 0x35
'goegg', # 0x36
'goegs', # 0x37
'goen', # 0x38
'goenj', # 0x39
'goenh', # 0x3a
'goed', # 0x3b
'goel', # 0x3c
'goelg', # 0x3d
'goelm', # 0x3e
'goelb', # 0x3f
'goels', # 0x40
'goelt', # 0x41
'goelp', # 0x42
'goelh', # 0x43
'goem', # 0x44
'goeb', # 0x45
'goebs', # 0x46
'goes', # 0x47
'goess', # 0x48
'goeng', # 0x49
'goej', # 0x4a
'goec', # 0x4b
'goek', # 0x4c
'goet', # 0x4d
'goep', # 0x4e
'goeh', # 0x4f
'gyo', # 0x50
'gyog', # 0x51
'gyogg', # 0x52
'gyogs', # 0x53
'gyon', # 0x54
'gyonj', # 0x55
'gyonh', # 0x56
'gyod', # 0x57
'gyol', # 0x58
'gyolg', # 0x59
'gyolm', # 0x5a
'gyolb', # 0x5b
'gyols', # 0x5c
'gyolt', # 0x5d
'gyolp', # 0x5e
'gyolh', # 0x5f
'gyom', # 0x60
'gyob', # 0x61
'gyobs', # 0x62
'gyos', # 0x63
'gyoss', # 0x64
'gyong', # 0x65
'gyoj', # 0x66
'gyoc', # 0x67
'gyok', # 0x68
'gyot', # 0x69
'gyop', # 0x6a
'gyoh', # 0x6b
'gu', # 0x6c
'gug', # 0x6d
'gugg', # 0x6e
'gugs', # 0x6f
'gun', # 0x70
'gunj', # 0x71
'gunh', # 0x72
'gud', # 0x73
'gul', # 0x74
'gulg', # 0x75
'gulm', # 0x76
'gulb', # 0x77
'guls', # 0x78
'gult', # 0x79
'gulp', # 0x7a
'gulh', # 0x7b
'gum', # 0x7c
'gub', # 0x7d
'gubs', # 0x7e
'gus', # 0x7f
'guss', # 0x80
'gung', # 0x81
'guj', # 0x82
'guc', # 0x83
'guk', # 0x84
'gut', # 0x85
'gup', # 0x86
'guh', # 0x87
'gweo', # 0x88
'gweog', # 0x89
'gweogg', # 0x8a
'gweogs', # 0x8b
'gweon', # 0x8c
'gweonj', # 0x8d
'gweonh', # 0x8e
'gweod', # 0x8f
'gweol', # 0x90
'gweolg', # 0x91
'gweolm', # 0x92
'gweolb', # 0x93
'gweols', # 0x94
'gweolt', # 0x95
'gweolp', # 0x96
'gweolh', # 0x97
'gweom', # 0x98
'gweob', # 0x99
'gweobs', # 0x9a
'gweos', # 0x9b
'gweoss', # 0x9c
'gweong', # 0x9d
'gweoj', # 0x9e
'gweoc', # 0x9f
'gweok', # 0xa0
'gweot', # 0xa1
'gweop', # 0xa2
'gweoh', # 0xa3
'gwe', # 0xa4
'gweg', # 0xa5
'gwegg', # 0xa6
'gwegs', # 0xa7
'gwen', # 0xa8
'gwenj', # 0xa9
'gwenh', # 0xaa
'gwed', # 0xab
'gwel', # 0xac
'gwelg', # 0xad
'gwelm', # 0xae
'gwelb', # 0xaf
'gwels', # 0xb0
'gwelt', # 0xb1
'gwelp', # 0xb2
'gwelh', # 0xb3
'gwem', # 0xb4
'gweb', # 0xb5
'gwebs', # 0xb6
'gwes', # 0xb7
'gwess', # 0xb8
'gweng', # 0xb9
'gwej', # 0xba
'gwec', # 0xbb
'gwek', # 0xbc
'gwet', # 0xbd
'gwep', # 0xbe
'gweh', # 0xbf
'gwi', # 0xc0
'gwig', # 0xc1
'gwigg', # 0xc2
'gwigs', # 0xc3
'gwin', # 0xc4
'gwinj', # 0xc5
'gwinh', # 0xc6
'gwid', # 0xc7
'gwil', # 0xc8
'gwilg', # 0xc9
'gwilm', # 0xca
'gwilb', # 0xcb
'gwils', # 0xcc
'gwilt', # 0xcd
'gwilp', # 0xce
'gwilh', # 0xcf
'gwim', # 0xd0
'gwib', # 0xd1
'gwibs', # 0xd2
'gwis', # 0xd3
'gwiss', # 0xd4
'gwing', # 0xd5
'gwij', # 0xd6
'gwic', # 0xd7
'gwik', # 0xd8
'gwit', # 0xd9
'gwip', # 0xda
'gwih', # 0xdb
'gyu', # 0xdc
'gyug', # 0xdd
'gyugg', # 0xde
'gyugs', # 0xdf
'gyun', # 0xe0
'gyunj', # 0xe1
'gyunh', # 0xe2
'gyud', # 0xe3
'gyul', # 0xe4
'gyulg', # 0xe5
'gyulm', # 0xe6
'gyulb', # 0xe7
'gyuls', # 0xe8
'gyult', # 0xe9
'gyulp', # 0xea
'gyulh', # 0xeb
'gyum', # 0xec
'gyub', # 0xed
'gyubs', # 0xee
'gyus', # 0xef
'gyuss', # 0xf0
'gyung', # 0xf1
'gyuj', # 0xf2
'gyuc', # 0xf3
'gyuk', # 0xf4
'gyut', # 0xf5
'gyup', # 0xf6
'gyuh', # 0xf7
'geu', # 0xf8
'geug', # 0xf9
'geugg', # 0xfa
'geugs', # 0xfb
'geun', # 0xfc
'geunj', # 0xfd
'geunh', # 0xfe
'geud', # 0xff
)
x0ae = (
'geul', # 0x00
'geulg', # 0x01
'geulm', # 0x02
'geulb', # 0x03
'geuls', # 0x04
'geult', # 0x05
'geulp', # 0x06
'geulh', # 0x07
'geum', # 0x08
'geub', # 0x09
'geubs', # 0x0a
'geus', # 0x0b
'geuss', # 0x0c
'geung', # 0x0d
'geuj', # 0x0e
'geuc', # 0x0f
'geuk', # 0x10
'geut', # 0x11
'geup', # 0x12
'geuh', # 0x13
'gyi', # 0x14
'gyig', # 0x15
'gyigg', # 0x16
'gyigs', # 0x17
'gyin', # 0x18
'gyinj', # 0x19
'gyinh', # 0x1a
'gyid', # 0x1b
'gyil', # 0x1c
'gyilg', # 0x1d
'gyilm', # 0x1e
'gyilb', # 0x1f
'gyils', # 0x20
'gyilt', # 0x21
'gyilp', # 0x22
'gyilh', # 0x23
'gyim', # 0x24
'gyib', # 0x25
'gyibs', # 0x26
'gyis', # 0x27
'gyiss', # 0x28
'gying', # 0x29
'gyij', # 0x2a
'gyic', # 0x2b
'gyik', # 0x2c
'gyit', # 0x2d
'gyip', # 0x2e
'gyih', # 0x2f
'gi', # 0x30
'gig', # 0x31
'gigg', # 0x32
'gigs', # 0x33
'gin', # 0x34
'ginj', # 0x35
'ginh', # 0x36
'gid', # 0x37
'gil', # 0x38
'gilg', # 0x39
'gilm', # 0x3a
'gilb', # 0x3b
'gils', # 0x3c
'gilt', # 0x3d
'gilp', # 0x3e
'gilh', # 0x3f
'gim', # 0x40
'gib', # 0x41
'gibs', # 0x42
'gis', # 0x43
'giss', # 0x44
'ging', # 0x45
'gij', # 0x46
'gic', # 0x47
'gik', # 0x48
'git', # 0x49
'gip', # 0x4a
'gih', # 0x4b
'gga', # 0x4c
'ggag', # 0x4d
'ggagg', # 0x4e
'ggags', # 0x4f
'ggan', # 0x50
'gganj', # 0x51
'gganh', # 0x52
'ggad', # 0x53
'ggal', # 0x54
'ggalg', # 0x55
'ggalm', # 0x56
'ggalb', # 0x57
'ggals', # 0x58
'ggalt', # 0x59
'ggalp', # 0x5a
'ggalh', # 0x5b
'ggam', # 0x5c
'ggab', # 0x5d
'ggabs', # 0x5e
'ggas', # 0x5f
'ggass', # 0x60
'ggang', # 0x61
'ggaj', # 0x62
'ggac', # 0x63
'ggak', # 0x64
'ggat', # 0x65
'ggap', # 0x66
'ggah', # 0x67
'ggae', # 0x68
'ggaeg', # 0x69
'ggaegg', # 0x6a
'ggaegs', # 0x6b
'ggaen', # 0x6c
'ggaenj', # 0x6d
'ggaenh', # 0x6e
'ggaed', # 0x6f
'ggael', # 0x70
'ggaelg', # 0x71
'ggaelm', # 0x72
'ggaelb', # 0x73
'ggaels', # 0x74
'ggaelt', # 0x75
'ggaelp', # 0x76
'ggaelh', # 0x77
'ggaem', # 0x78
'ggaeb', # 0x79
'ggaebs', # 0x7a
'ggaes', # 0x7b
'ggaess', # 0x7c
'ggaeng', # 0x7d
'ggaej', # 0x7e
'ggaec', # 0x7f
'ggaek', # 0x80
'ggaet', # 0x81
'ggaep', # 0x82
'ggaeh', # 0x83
'ggya', # 0x84
'ggyag', # 0x85
'ggyagg', # 0x86
'ggyags', # 0x87
'ggyan', # 0x88
'ggyanj', # 0x89
'ggyanh', # 0x8a
'ggyad', # 0x8b
'ggyal', # 0x8c
'ggyalg', # 0x8d
'ggyalm', # 0x8e
'ggyalb', # 0x8f
'ggyals', # 0x90
'ggyalt', # 0x91
'ggyalp', # 0x92
'ggyalh', # 0x93
'ggyam', # 0x94
'ggyab', # 0x95
'ggyabs', # 0x96
'ggyas', # 0x97
'ggyass', # 0x98
'ggyang', # 0x99
'ggyaj', # 0x9a
'ggyac', # 0x9b
'ggyak', # 0x9c
'ggyat', # 0x9d
'ggyap', # 0x9e
'ggyah', # 0x9f
'ggyae', # 0xa0
'ggyaeg', # 0xa1
'ggyaegg', # 0xa2
'ggyaegs', # 0xa3
'ggyaen', # 0xa4
'ggyaenj', # 0xa5
'ggyaenh', # 0xa6
'ggyaed', # 0xa7
'ggyael', # 0xa8
'ggyaelg', # 0xa9
'ggyaelm', # 0xaa
'ggyaelb', # 0xab
'ggyaels', # 0xac
'ggyaelt', # 0xad
'ggyaelp', # 0xae
'ggyaelh', # 0xaf
'ggyaem', # 0xb0
'ggyaeb', # 0xb1
'ggyaebs', # 0xb2
'ggyaes', # 0xb3
'ggyaess', # 0xb4
'ggyaeng', # 0xb5
'ggyaej', # 0xb6
'ggyaec', # 0xb7
'ggyaek', # 0xb8
'ggyaet', # 0xb9
'ggyaep', # 0xba
'ggyaeh', # 0xbb
'ggeo', # 0xbc
'ggeog', # 0xbd
'ggeogg', # 0xbe
'ggeogs', # 0xbf
'ggeon', # 0xc0
'ggeonj', # 0xc1
'ggeonh', # 0xc2
'ggeod', # 0xc3
'ggeol', # 0xc4
'ggeolg', # 0xc5
'ggeolm', # 0xc6
'ggeolb', # 0xc7
'ggeols', # 0xc8
'ggeolt', # 0xc9
'ggeolp', # 0xca
'ggeolh', # 0xcb
'ggeom', # 0xcc
'ggeob', # 0xcd
'ggeobs', # 0xce
'ggeos', # 0xcf
'ggeoss', # 0xd0
'ggeong', # 0xd1
'ggeoj', # 0xd2
'ggeoc', # 0xd3
'ggeok', # 0xd4
'ggeot', # 0xd5
'ggeop', # 0xd6
'ggeoh', # 0xd7
'gge', # 0xd8
'ggeg', # 0xd9
'ggegg', # 0xda
'ggegs', # 0xdb
'ggen', # 0xdc
'ggenj', # 0xdd
'ggenh', # 0xde
'gged', # 0xdf
'ggel', # 0xe0
'ggelg', # 0xe1
'ggelm', # 0xe2
'ggelb', # 0xe3
'ggels', # 0xe4
'ggelt', # 0xe5
'ggelp', # 0xe6
'ggelh', # 0xe7
'ggem', # 0xe8
'ggeb', # 0xe9
'ggebs', # 0xea
'gges', # 0xeb
'ggess', # 0xec
'ggeng', # 0xed
'ggej', # 0xee
'ggec', # 0xef
'ggek', # 0xf0
'gget', # 0xf1
'ggep', # 0xf2
'ggeh', # 0xf3
'ggyeo', # 0xf4
'ggyeog', # 0xf5
'ggyeogg', # 0xf6
'ggyeogs', # 0xf7
'ggyeon', # 0xf8
'ggyeonj', # 0xf9
'ggyeonh', # 0xfa
'ggyeod', # 0xfb
'ggyeol', # 0xfc
'ggyeolg', # 0xfd
'ggyeolm', # 0xfe
'ggyeolb', # 0xff
)
x0af = (
'ggyeols', # 0x00
'ggyeolt', # 0x01
'ggyeolp', # 0x02
'ggyeolh', # 0x03
'ggyeom', # 0x04
'ggyeob', # 0x05
'ggyeobs', # 0x06
'ggyeos', # 0x07
'ggyeoss', # 0x08
'ggyeong', # 0x09
'ggyeoj', # 0x0a
'ggyeoc', # 0x0b
'ggyeok', # 0x0c
'ggyeot', # 0x0d
'ggyeop', # 0x0e
'ggyeoh', # 0x0f
'ggye', # 0x10
'ggyeg', # 0x11
'ggyegg', # 0x12
'ggyegs', # 0x13
'ggyen', # 0x14
'ggyenj', # 0x15
'ggyenh', # 0x16
'ggyed', # 0x17
'ggyel', # 0x18
'ggyelg', # 0x19
'ggyelm', # 0x1a
'ggyelb', # 0x1b
'ggyels', # 0x1c
'ggyelt', # 0x1d
'ggyelp', # 0x1e
'ggyelh', # 0x1f
'ggyem', # 0x20
'ggyeb', # 0x21
'ggyebs', # 0x22
'ggyes', # 0x23
'ggyess', # 0x24
'ggyeng', # 0x25
'ggyej', # 0x26
'ggyec', # 0x27
'ggyek', # 0x28
'ggyet', # 0x29
'ggyep', # 0x2a
'ggyeh', # 0x2b
'ggo', # 0x2c
'ggog', # 0x2d
'ggogg', # 0x2e
'ggogs', # 0x2f
'ggon', # 0x30
'ggonj', # 0x31
'ggonh', # 0x32
'ggod', # 0x33
'ggol', # 0x34
'ggolg', # 0x35
'ggolm', # 0x36
'ggolb', # 0x37
'ggols', # 0x38
'ggolt', # 0x39
'ggolp', # 0x3a
'ggolh', # 0x3b
'ggom', # 0x3c
'ggob', # 0x3d
'ggobs', # 0x3e
'ggos', # 0x3f
'ggoss', # 0x40
'ggong', # 0x41
'ggoj', # 0x42
'ggoc', # 0x43
'ggok', # 0x44
'ggot', # 0x45
'ggop', # 0x46
'ggoh', # 0x47
'ggwa', # 0x48
'ggwag', # 0x49
'ggwagg', # 0x4a
'ggwags', # 0x4b
'ggwan', # 0x4c
'ggwanj', # 0x4d
'ggwanh', # 0x4e
'ggwad', # 0x4f
'ggwal', # 0x50
'ggwalg', # 0x51
'ggwalm', # 0x52
'ggwalb', # 0x53
'ggwals', # 0x54
'ggwalt', # 0x55
'ggwalp', # 0x56
'ggwalh', # 0x57
'ggwam', # 0x58
'ggwab', # 0x59
'ggwabs', # 0x5a
'ggwas', # 0x5b
'ggwass', # 0x5c
'ggwang', # 0x5d
'ggwaj', # 0x5e
'ggwac', # 0x5f
'ggwak', # 0x60
'ggwat', # 0x61
'ggwap', # 0x62
'ggwah', # 0x63
'ggwae', # 0x64
'ggwaeg', # 0x65
'ggwaegg', # 0x66
'ggwaegs', # 0x67
'ggwaen', # 0x68
'ggwaenj', # 0x69
'ggwaenh', # 0x6a
'ggwaed', # 0x6b
'ggwael', # 0x6c
'ggwaelg', # 0x6d
'ggwaelm', # 0x6e
'ggwaelb', # 0x6f
'ggwaels', # 0x70
'ggwaelt', # 0x71
'ggwaelp', # 0x72
'ggwaelh', # 0x73
'ggwaem', # 0x74
'ggwaeb', # 0x75
'ggwaebs', # 0x76
'ggwaes', # 0x77
'ggwaess', # 0x78
'ggwaeng', # 0x79
'ggwaej', # 0x7a
'ggwaec', # 0x7b
'ggwaek', # 0x7c
'ggwaet', # 0x7d
'ggwaep', # 0x7e
'ggwaeh', # 0x7f
'ggoe', # 0x80
'ggoeg', # 0x81
'ggoegg', # 0x82
'ggoegs', # 0x83
'ggoen', # 0x84
'ggoenj', # 0x85
'ggoenh', # 0x86
'ggoed', # 0x87
'ggoel', # 0x88
'ggoelg', # 0x89
'ggoelm', # 0x8a
'ggoelb', # 0x8b
'ggoels', # 0x8c
'ggoelt', # 0x8d
'ggoelp', # 0x8e
'ggoelh', # 0x8f
'ggoem', # 0x90
'ggoeb', # 0x91
'ggoebs', # 0x92
'ggoes', # 0x93
'ggoess', # 0x94
'ggoeng', # 0x95
'ggoej', # 0x96
'ggoec', # 0x97
'ggoek', # 0x98
'ggoet', # 0x99
'ggoep', # 0x9a
'ggoeh', # 0x9b
'ggyo', # 0x9c
'ggyog', # 0x9d
'ggyogg', # 0x9e
'ggyogs', # 0x9f
'ggyon', # 0xa0
'ggyonj', # 0xa1
'ggyonh', # 0xa2
'ggyod', # 0xa3
'ggyol', # 0xa4
'ggyolg', # 0xa5
'ggyolm', # 0xa6
'ggyolb', # 0xa7
'ggyols', # 0xa8
'ggyolt', # 0xa9
'ggyolp', # 0xaa
'ggyolh', # 0xab
'ggyom', # 0xac
'ggyob', # 0xad
'ggyobs', # 0xae
'ggyos', # 0xaf
'ggyoss', # 0xb0
'ggyong', # 0xb1
'ggyoj', # 0xb2
'ggyoc', # 0xb3
'ggyok', # 0xb4
'ggyot', # 0xb5
'ggyop', # 0xb6
'ggyoh', # 0xb7
'ggu', # 0xb8
'ggug', # 0xb9
'ggugg', # 0xba
'ggugs', # 0xbb
'ggun', # 0xbc
'ggunj', # 0xbd
'ggunh', # 0xbe
'ggud', # 0xbf
'ggul', # 0xc0
'ggulg', # 0xc1
'ggulm', # 0xc2
'ggulb', # 0xc3
'gguls', # 0xc4
'ggult', # 0xc5
'ggulp', # 0xc6
'ggulh', # 0xc7
'ggum', # 0xc8
'ggub', # 0xc9
'ggubs', # 0xca
'ggus', # 0xcb
'gguss', # 0xcc
'ggung', # 0xcd
'gguj', # 0xce
'gguc', # 0xcf
'gguk', # 0xd0
'ggut', # 0xd1
'ggup', # 0xd2
'gguh', # 0xd3
'ggweo', # 0xd4
'ggweog', # 0xd5
'ggweogg', # 0xd6
'ggweogs', # 0xd7
'ggweon', # 0xd8
'ggweonj', # 0xd9
'ggweonh', # 0xda
'ggweod', # 0xdb
'ggweol', # 0xdc
'ggweolg', # 0xdd
'ggweolm', # 0xde
'ggweolb', # 0xdf
'ggweols', # 0xe0
'ggweolt', # 0xe1
'ggweolp', # 0xe2
'ggweolh', # 0xe3
'ggweom', # 0xe4
'ggweob', # 0xe5
'ggweobs', # 0xe6
'ggweos', # 0xe7
'ggweoss', # 0xe8
'ggweong', # 0xe9
'ggweoj', # 0xea
'ggweoc', # 0xeb
'ggweok', # 0xec
'ggweot', # 0xed
'ggweop', # 0xee
'ggweoh', # 0xef
'ggwe', # 0xf0
'ggweg', # 0xf1
'ggwegg', # 0xf2
'ggwegs', # 0xf3
'ggwen', # 0xf4
'ggwenj', # 0xf5
'ggwenh', # 0xf6
'ggwed', # 0xf7
'ggwel', # 0xf8
'ggwelg', # 0xf9
'ggwelm', # 0xfa
'ggwelb', # 0xfb
'ggwels', # 0xfc
'ggwelt', # 0xfd
'ggwelp', # 0xfe
'ggwelh', # 0xff
)
x0b0 = (
'ggwem', # 0x00
'ggweb', # 0x01
'ggwebs', # 0x02
'ggwes', # 0x03
'ggwess', # 0x04
'ggweng', # 0x05
'ggwej', # 0x06
'ggwec', # 0x07
'ggwek', # 0x08
'ggwet', # 0x09
'ggwep', # 0x0a
'ggweh', # 0x0b
'ggwi', # 0x0c
'ggwig', # 0x0d
'ggwigg', # 0x0e
'ggwigs', # 0x0f
'ggwin', # 0x10
'ggwinj', # 0x11
'ggwinh', # 0x12
'ggwid', # 0x13
'ggwil', # 0x14
'ggwilg', # 0x15
'ggwilm', # 0x16
'ggwilb', # 0x17
'ggwils', # 0x18
'ggwilt', # 0x19
'ggwilp', # 0x1a
'ggwilh', # 0x1b
'ggwim', # 0x1c
'ggwib', # 0x1d
'ggwibs', # 0x1e
'ggwis', # 0x1f
'ggwiss', # 0x20
'ggwing', # 0x21
'ggwij', # 0x22
'ggwic', # 0x23
'ggwik', # 0x24
'ggwit', # 0x25
'ggwip', # 0x26
'ggwih', # 0x27
'ggyu', # 0x28
'ggyug', # 0x29
'ggyugg', # 0x2a
'ggyugs', # 0x2b
'ggyun', # 0x2c
'ggyunj', # 0x2d
'ggyunh', # 0x2e
'ggyud', # 0x2f
'ggyul', # 0x30
'ggyulg', # 0x31
'ggyulm', # 0x32
'ggyulb', # 0x33
'ggyuls', # 0x34
'ggyult', # 0x35
'ggyulp', # 0x36
'ggyulh', # 0x37
'ggyum', # 0x38
'ggyub', # 0x39
'ggyubs', # 0x3a
'ggyus', # 0x3b
'ggyuss', # 0x3c
'ggyung', # 0x3d
'ggyuj', # 0x3e
'ggyuc', # 0x3f
'ggyuk', # 0x40
'ggyut', # 0x41
'ggyup', # 0x42
'ggyuh', # 0x43
'ggeu', # 0x44
'ggeug', # 0x45
'ggeugg', # 0x46
'ggeugs', # 0x47
'ggeun', # 0x48
'ggeunj', # 0x49
'ggeunh', # 0x4a
'ggeud', # 0x4b
'ggeul', # 0x4c
'ggeulg', # 0x4d
'ggeulm', # 0x4e
'ggeulb', # 0x4f
'ggeuls', # 0x50
'ggeult', # 0x51
'ggeulp', # 0x52
'ggeulh', # 0x53
'ggeum', # 0x54
'ggeub', # 0x55
'ggeubs', # 0x56
'ggeus', # 0x57
'ggeuss', # 0x58
'ggeung', # 0x59
'ggeuj', # 0x5a
'ggeuc', # 0x5b
'ggeuk', # 0x5c
'ggeut', # 0x5d
'ggeup', # 0x5e
'ggeuh', # 0x5f
'ggyi', # 0x60
'ggyig', # 0x61
'ggyigg', # 0x62
'ggyigs', # 0x63
'ggyin', # 0x64
'ggyinj', # 0x65
'ggyinh', # 0x66
'ggyid', # 0x67
'ggyil', # 0x68
'ggyilg', # 0x69
'ggyilm', # 0x6a
'ggyilb', # 0x6b
'ggyils', # 0x6c
'ggyilt', # 0x6d
'ggyilp', # 0x6e
'ggyilh', # 0x6f
'ggyim', # 0x70
'ggyib', # 0x71
'ggyibs', # 0x72
'ggyis', # 0x73
'ggyiss', # 0x74
'ggying', # 0x75
'ggyij', # 0x76
'ggyic', # 0x77
'ggyik', # 0x78
'ggyit', # 0x79
'ggyip', # 0x7a
'ggyih', # 0x7b
'ggi', # 0x7c
'ggig', # 0x7d
'ggigg', # 0x7e
'ggigs', # 0x7f
'ggin', # 0x80
'gginj', # 0x81
'gginh', # 0x82
'ggid', # 0x83
'ggil', # 0x84
'ggilg', # 0x85
'ggilm', # 0x86
'ggilb', # 0x87
'ggils', # 0x88
'ggilt', # 0x89
'ggilp', # 0x8a
'ggilh', # 0x8b
'ggim', # 0x8c
'ggib', # 0x8d
'ggibs', # 0x8e
'ggis', # 0x8f
'ggiss', # 0x90
'gging', # 0x91
'ggij', # 0x92
'ggic', # 0x93
'ggik', # 0x94
'ggit', # 0x95
'ggip', # 0x96
'ggih', # 0x97
'na', # 0x98
'nag', # 0x99
'nagg', # 0x9a
'nags', # 0x9b
'nan', # 0x9c
'nanj', # 0x9d
'nanh', # 0x9e
'nad', # 0x9f
'nal', # 0xa0
'nalg', # 0xa1
'nalm', # 0xa2
'nalb', # 0xa3
'nals', # 0xa4
'nalt', # 0xa5
'nalp', # 0xa6
'nalh', # 0xa7
'nam', # 0xa8
'nab', # 0xa9
'nabs', # 0xaa
'nas', # 0xab
'nass', # 0xac
'nang', # 0xad
'naj', # 0xae
'nac', # 0xaf
'nak', # 0xb0
'nat', # 0xb1
'nap', # 0xb2
'nah', # 0xb3
'nae', # 0xb4
'naeg', # 0xb5
'naegg', # 0xb6
'naegs', # 0xb7
'naen', # 0xb8
'naenj', # 0xb9
'naenh', # 0xba
'naed', # 0xbb
'nael', # 0xbc
'naelg', # 0xbd
'naelm', # 0xbe
'naelb', # 0xbf
'naels', # 0xc0
'naelt', # 0xc1
'naelp', # 0xc2
'naelh', # 0xc3
'naem', # 0xc4
'naeb', # 0xc5
'naebs', # 0xc6
'naes', # 0xc7
'naess', # 0xc8
'naeng', # 0xc9
'naej', # 0xca
'naec', # 0xcb
'naek', # 0xcc
'naet', # 0xcd
'naep', # 0xce
'naeh', # 0xcf
'nya', # 0xd0
'nyag', # 0xd1
'nyagg', # 0xd2
'nyags', # 0xd3
'nyan', # 0xd4
'nyanj', # 0xd5
'nyanh', # 0xd6
'nyad', # 0xd7
'nyal', # 0xd8
'nyalg', # 0xd9
'nyalm', # 0xda
'nyalb', # 0xdb
'nyals', # 0xdc
'nyalt', # 0xdd
'nyalp', # 0xde
'nyalh', # 0xdf
'nyam', # 0xe0
'nyab', # 0xe1
'nyabs', # 0xe2
'nyas', # 0xe3
'nyass', # 0xe4
'nyang', # 0xe5
'nyaj', # 0xe6
'nyac', # 0xe7
'nyak', # 0xe8
'nyat', # 0xe9
'nyap', # 0xea
'nyah', # 0xeb
'nyae', # 0xec
'nyaeg', # 0xed
'nyaegg', # 0xee
'nyaegs', # 0xef
'nyaen', # 0xf0
'nyaenj', # 0xf1
'nyaenh', # 0xf2
'nyaed', # 0xf3
'nyael', # 0xf4
'nyaelg', # 0xf5
'nyaelm', # 0xf6
'nyaelb', # 0xf7
'nyaels', # 0xf8
'nyaelt', # 0xf9
'nyaelp', # 0xfa
'nyaelh', # 0xfb
'nyaem', # 0xfc
'nyaeb', # 0xfd
'nyaebs', # 0xfe
'nyaes', # 0xff
)
x0b1 = (
'nyaess', # 0x00
'nyaeng', # 0x01
'nyaej', # 0x02
'nyaec', # 0x03
'nyaek', # 0x04
'nyaet', # 0x05
'nyaep', # 0x06
'nyaeh', # 0x07
'neo', # 0x08
'neog', # 0x09
'neogg', # 0x0a
'neogs', # 0x0b
'neon', # 0x0c
'neonj', # 0x0d
'neonh', # 0x0e
'neod', # 0x0f
'neol', # 0x10
'neolg', # 0x11
'neolm', # 0x12
'neolb', # 0x13
'neols', # 0x14
'neolt', # 0x15
'neolp', # 0x16
'neolh', # 0x17
'neom', # 0x18
'neob', # 0x19
'neobs', # 0x1a
'neos', # 0x1b
'neoss', # 0x1c
'neong', # 0x1d
'neoj', # 0x1e
'neoc', # 0x1f
'neok', # 0x20
'neot', # 0x21
'neop', # 0x22
'neoh', # 0x23
'ne', # 0x24
'neg', # 0x25
'negg', # 0x26
'negs', # 0x27
'nen', # 0x28
'nenj', # 0x29
'nenh', # 0x2a
'ned', # 0x2b
'nel', # 0x2c
'nelg', # 0x2d
'nelm', # 0x2e
'nelb', # 0x2f
'nels', # 0x30
'nelt', # 0x31
'nelp', # 0x32
'nelh', # 0x33
'nem', # 0x34
'neb', # 0x35
'nebs', # 0x36
'nes', # 0x37
'ness', # 0x38
'neng', # 0x39
'nej', # 0x3a
'nec', # 0x3b
'nek', # 0x3c
'net', # 0x3d
'nep', # 0x3e
'neh', # 0x3f
'nyeo', # 0x40
'nyeog', # 0x41
'nyeogg', # 0x42
'nyeogs', # 0x43
'nyeon', # 0x44
'nyeonj', # 0x45
'nyeonh', # 0x46
'nyeod', # 0x47
'nyeol', # 0x48
'nyeolg', # 0x49
'nyeolm', # 0x4a
'nyeolb', # 0x4b
'nyeols', # 0x4c
'nyeolt', # 0x4d
'nyeolp', # 0x4e
'nyeolh', # 0x4f
'nyeom', # 0x50
'nyeob', # 0x51
'nyeobs', # 0x52
'nyeos', # 0x53
'nyeoss', # 0x54
'nyeong', # 0x55
'nyeoj', # 0x56
'nyeoc', # 0x57
'nyeok', # 0x58
'nyeot', # 0x59
'nyeop', # 0x5a
'nyeoh', # 0x5b
'nye', # 0x5c
'nyeg', # 0x5d
'nyegg', # 0x5e
'nyegs', # 0x5f
'nyen', # 0x60
'nyenj', # 0x61
'nyenh', # 0x62
'nyed', # 0x63
'nyel', # 0x64
'nyelg', # 0x65
'nyelm', # 0x66
'nyelb', # 0x67
'nyels', # 0x68
'nyelt', # 0x69
'nyelp', # 0x6a
'nyelh', # 0x6b
'nyem', # 0x6c
'nyeb', # 0x6d
'nyebs', # 0x6e
'nyes', # 0x6f
'nyess', # 0x70
'nyeng', # 0x71
'nyej', # 0x72
'nyec', # 0x73
'nyek', # 0x74
'nyet', # 0x75
'nyep', # 0x76
'nyeh', # 0x77
'no', # 0x78
'nog', # 0x79
'nogg', # 0x7a
'nogs', # 0x7b
'non', # 0x7c
'nonj', # 0x7d
'nonh', # 0x7e
'nod', # 0x7f
'nol', # 0x80
'nolg', # 0x81
'nolm', # 0x82
'nolb', # 0x83
'nols', # 0x84
'nolt', # 0x85
'nolp', # 0x86
'nolh', # 0x87
'nom', # 0x88
'nob', # 0x89
'nobs', # 0x8a
'nos', # 0x8b
'noss', # 0x8c
'nong', # 0x8d
'noj', # 0x8e
'noc', # 0x8f
'nok', # 0x90
'not', # 0x91
'nop', # 0x92
'noh', # 0x93
'nwa', # 0x94
'nwag', # 0x95
'nwagg', # 0x96
'nwags', # 0x97
'nwan', # 0x98
'nwanj', # 0x99
'nwanh', # 0x9a
'nwad', # 0x9b
'nwal', # 0x9c
'nwalg', # 0x9d
'nwalm', # 0x9e
'nwalb', # 0x9f
'nwals', # 0xa0
'nwalt', # 0xa1
'nwalp', # 0xa2
'nwalh', # 0xa3
'nwam', # 0xa4
'nwab', # 0xa5
'nwabs', # 0xa6
'nwas', # 0xa7
'nwass', # 0xa8
'nwang', # 0xa9
'nwaj', # 0xaa
'nwac', # 0xab
'nwak', # 0xac
'nwat', # 0xad
'nwap', # 0xae
'nwah', # 0xaf
'nwae', # 0xb0
'nwaeg', # 0xb1
'nwaegg', # 0xb2
'nwaegs', # 0xb3
'nwaen', # 0xb4
'nwaenj', # 0xb5
'nwaenh', # 0xb6
'nwaed', # 0xb7
'nwael', # 0xb8
'nwaelg', # 0xb9
'nwaelm', # 0xba
'nwaelb', # 0xbb
'nwaels', # 0xbc
'nwaelt', # 0xbd
'nwaelp', # 0xbe
'nwaelh', # 0xbf
'nwaem', # 0xc0
'nwaeb', # 0xc1
'nwaebs', # 0xc2
'nwaes', # 0xc3
'nwaess', # 0xc4
'nwaeng', # 0xc5
'nwaej', # 0xc6
'nwaec', # 0xc7
'nwaek', # 0xc8
'nwaet', # 0xc9
'nwaep', # 0xca
'nwaeh', # 0xcb
'noe', # 0xcc
'noeg', # 0xcd
'noegg', # 0xce
'noegs', # 0xcf
'noen', # 0xd0
'noenj', # 0xd1
'noenh', # 0xd2
'noed', # 0xd3
'noel', # 0xd4
'noelg', # 0xd5
'noelm', # 0xd6
'noelb', # 0xd7
'noels', # 0xd8
'noelt', # 0xd9
'noelp', # 0xda
'noelh', # 0xdb
'noem', # 0xdc
'noeb', # 0xdd
'noebs', # 0xde
'noes', # 0xdf
'noess', # 0xe0
'noeng', # 0xe1
'noej', # 0xe2
'noec', # 0xe3
'noek', # 0xe4
'noet', # 0xe5
'noep', # 0xe6
'noeh', # 0xe7
'nyo', # 0xe8
'nyog', # 0xe9
'nyogg', # 0xea
'nyogs', # 0xeb
'nyon', # 0xec
'nyonj', # 0xed
'nyonh', # 0xee
'nyod', # 0xef
'nyol', # 0xf0
'nyolg', # 0xf1
'nyolm', # 0xf2
'nyolb', # 0xf3
'nyols', # 0xf4
'nyolt', # 0xf5
'nyolp', # 0xf6
'nyolh', # 0xf7
'nyom', # 0xf8
'nyob', # 0xf9
'nyobs', # 0xfa
'nyos', # 0xfb
'nyoss', # 0xfc
'nyong', # 0xfd
'nyoj', # 0xfe
'nyoc', # 0xff
)
x0b2 = (
'nyok', # 0x00
'nyot', # 0x01
'nyop', # 0x02
'nyoh', # 0x03
'nu', # 0x04
'nug', # 0x05
'nugg', # 0x06
'nugs', # 0x07
'nun', # 0x08
'nunj', # 0x09
'nunh', # 0x0a
'nud', # 0x0b
'nul', # 0x0c
'nulg', # 0x0d
'nulm', # 0x0e
'nulb', # 0x0f
'nuls', # 0x10
'nult', # 0x11
'nulp', # 0x12
'nulh', # 0x13
'num', # 0x14
'nub', # 0x15
'nubs', # 0x16
'nus', # 0x17
'nuss', # 0x18
'nung', # 0x19
'nuj', # 0x1a
'nuc', # 0x1b
'nuk', # 0x1c
'nut', # 0x1d
'nup', # 0x1e
'nuh', # 0x1f
'nweo', # 0x20
'nweog', # 0x21
'nweogg', # 0x22
'nweogs', # 0x23
'nweon', # 0x24
'nweonj', # 0x25
'nweonh', # 0x26
'nweod', # 0x27
'nweol', # 0x28
'nweolg', # 0x29
'nweolm', # 0x2a
'nweolb', # 0x2b
'nweols', # 0x2c
'nweolt', # 0x2d
'nweolp', # 0x2e
'nweolh', # 0x2f
'nweom', # 0x30
'nweob', # 0x31
'nweobs', # 0x32
'nweos', # 0x33
'nweoss', # 0x34
'nweong', # 0x35
'nweoj', # 0x36
'nweoc', # 0x37
'nweok', # 0x38
'nweot', # 0x39
'nweop', # 0x3a
'nweoh', # 0x3b
'nwe', # 0x3c
'nweg', # 0x3d
'nwegg', # 0x3e
'nwegs', # 0x3f
'nwen', # 0x40
'nwenj', # 0x41
'nwenh', # 0x42
'nwed', # 0x43
'nwel', # 0x44
'nwelg', # 0x45
'nwelm', # 0x46
'nwelb', # 0x47
'nwels', # 0x48
'nwelt', # 0x49
'nwelp', # 0x4a
'nwelh', # 0x4b
'nwem', # 0x4c
'nweb', # 0x4d
'nwebs', # 0x4e
'nwes', # 0x4f
'nwess', # 0x50
'nweng', # 0x51
'nwej', # 0x52
'nwec', # 0x53
'nwek', # 0x54
'nwet', # 0x55
'nwep', # 0x56
'nweh', # 0x57
'nwi', # 0x58
'nwig', # 0x59
'nwigg', # 0x5a
'nwigs', # 0x5b
'nwin', # 0x5c
'nwinj', # 0x5d
'nwinh', # 0x5e
'nwid', # 0x5f
'nwil', # 0x60
'nwilg', # 0x61
'nwilm', # 0x62
'nwilb', # 0x63
'nwils', # 0x64
'nwilt', # 0x65
'nwilp', # 0x66
'nwilh', # 0x67
'nwim', # 0x68
'nwib', # 0x69
'nwibs', # 0x6a
'nwis', # 0x6b
'nwiss', # 0x6c
'nwing', # 0x6d
'nwij', # 0x6e
'nwic', # 0x6f
'nwik', # 0x70
'nwit', # 0x71
'nwip', # 0x72
'nwih', # 0x73
'nyu', # 0x74
'nyug', # 0x75
'nyugg', # 0x76
'nyugs', # 0x77
'nyun', # 0x78
'nyunj', # 0x79
'nyunh', # 0x7a
'nyud', # 0x7b
'nyul', # 0x7c
'nyulg', # 0x7d
'nyulm', # 0x7e
'nyulb', # 0x7f
'nyuls', # 0x80
'nyult', # 0x81
'nyulp', # 0x82
'nyulh', # 0x83
'nyum', # 0x84
'nyub', # 0x85
'nyubs', # 0x86
'nyus', # 0x87
'nyuss', # 0x88
'nyung', # 0x89
'nyuj', # 0x8a
'nyuc', # 0x8b
'nyuk', # 0x8c
'nyut', # 0x8d
'nyup', # 0x8e
'nyuh', # 0x8f
'neu', # 0x90
'neug', # 0x91
'neugg', # 0x92
'neugs', # 0x93
'neun', # 0x94
'neunj', # 0x95
'neunh', # 0x96
'neud', # 0x97
'neul', # 0x98
'neulg', # 0x99
'neulm', # 0x9a
'neulb', # 0x9b
'neuls', # 0x9c
'neult', # 0x9d
'neulp', # 0x9e
'neulh', # 0x9f
'neum', # 0xa0
'neub', # 0xa1
'neubs', # 0xa2
'neus', # 0xa3
'neuss', # 0xa4
'neung', # 0xa5
'neuj', # 0xa6
'neuc', # 0xa7
'neuk', # 0xa8
'neut', # 0xa9
'neup', # 0xaa
'neuh', # 0xab
'nyi', # 0xac
'nyig', # 0xad
'nyigg', # 0xae
'nyigs', # 0xaf
'nyin', # 0xb0
'nyinj', # 0xb1
'nyinh', # 0xb2
'nyid', # 0xb3
'nyil', # 0xb4
'nyilg', # 0xb5
'nyilm', # 0xb6
'nyilb', # 0xb7
'nyils', # 0xb8
'nyilt', # 0xb9
'nyilp', # 0xba
'nyilh', # 0xbb
'nyim', # 0xbc
'nyib', # 0xbd
'nyibs', # 0xbe
'nyis', # 0xbf
'nyiss', # 0xc0
'nying', # 0xc1
'nyij', # 0xc2
'nyic', # 0xc3
'nyik', # 0xc4
'nyit', # 0xc5
'nyip', # 0xc6
'nyih', # 0xc7
'ni', # 0xc8
'nig', # 0xc9
'nigg', # 0xca
'nigs', # 0xcb
'nin', # 0xcc
'ninj', # 0xcd
'ninh', # 0xce
'nid', # 0xcf
'nil', # 0xd0
'nilg', # 0xd1
'nilm', # 0xd2
'nilb', # 0xd3
'nils', # 0xd4
'nilt', # 0xd5
'nilp', # 0xd6
'nilh', # 0xd7
'nim', # 0xd8
'nib', # 0xd9
'nibs', # 0xda
'nis', # 0xdb
'niss', # 0xdc
'ning', # 0xdd
'nij', # 0xde
'nic', # 0xdf
'nik', # 0xe0
'nit', # 0xe1
'nip', # 0xe2
'nih', # 0xe3
'da', # 0xe4
'dag', # 0xe5
'dagg', # 0xe6
'dags', # 0xe7
'dan', # 0xe8
'danj', # 0xe9
'danh', # 0xea
'dad', # 0xeb
'dal', # 0xec
'dalg', # 0xed
'dalm', # 0xee
'dalb', # 0xef
'dals', # 0xf0
'dalt', # 0xf1
'dalp', # 0xf2
'dalh', # 0xf3
'dam', # 0xf4
'dab', # 0xf5
'dabs', # 0xf6
'das', # 0xf7
'dass', # 0xf8
'dang', # 0xf9
'daj', # 0xfa
'dac', # 0xfb
'dak', # 0xfc
'dat', # 0xfd
'dap', # 0xfe
'dah', # 0xff
)
x0b3 = (
'dae', # 0x00
'daeg', # 0x01
'daegg', # 0x02
'daegs', # 0x03
'daen', # 0x04
'daenj', # 0x05
'daenh', # 0x06
'daed', # 0x07
'dael', # 0x08
'daelg', # 0x09
'daelm', # 0x0a
'daelb', # 0x0b
'daels', # 0x0c
'daelt', # 0x0d
'daelp', # 0x0e
'daelh', # 0x0f
'daem', # 0x10
'daeb', # 0x11
'daebs', # 0x12
'daes', # 0x13
'daess', # 0x14
'daeng', # 0x15
'daej', # 0x16
'daec', # 0x17
'daek', # 0x18
'daet', # 0x19
'daep', # 0x1a
'daeh', # 0x1b
'dya', # 0x1c
'dyag', # 0x1d
'dyagg', # 0x1e
'dyags', # 0x1f
'dyan', # 0x20
'dyanj', # 0x21
'dyanh', # 0x22
'dyad', # 0x23
'dyal', # 0x24
'dyalg', # 0x25
'dyalm', # 0x26
'dyalb', # 0x27
'dyals', # 0x28
'dyalt', # 0x29
'dyalp', # 0x2a
'dyalh', # 0x2b
'dyam', # 0x2c
'dyab', # 0x2d
'dyabs', # 0x2e
'dyas', # 0x2f
'dyass', # 0x30
'dyang', # 0x31
'dyaj', # 0x32
'dyac', # 0x33
'dyak', # 0x34
'dyat', # 0x35
'dyap', # 0x36
'dyah', # 0x37
'dyae', # 0x38
'dyaeg', # 0x39
'dyaegg', # 0x3a
'dyaegs', # 0x3b
'dyaen', # 0x3c
'dyaenj', # 0x3d
'dyaenh', # 0x3e
'dyaed', # 0x3f
'dyael', # 0x40
'dyaelg', # 0x41
'dyaelm', # 0x42
'dyaelb', # 0x43
'dyaels', # 0x44
'dyaelt', # 0x45
'dyaelp', # 0x46
'dyaelh', # 0x47
'dyaem', # 0x48
'dyaeb', # 0x49
'dyaebs', # 0x4a
'dyaes', # 0x4b
'dyaess', # 0x4c
'dyaeng', # 0x4d
'dyaej', # 0x4e
'dyaec', # 0x4f
'dyaek', # 0x50
'dyaet', # 0x51
'dyaep', # 0x52
'dyaeh', # 0x53
'deo', # 0x54
'deog', # 0x55
'deogg', # 0x56
'deogs', # 0x57
'deon', # 0x58
'deonj', # 0x59
'deonh', # 0x5a
'deod', # 0x5b
'deol', # 0x5c
'deolg', # 0x5d
'deolm', # 0x5e
'deolb', # 0x5f
'deols', # 0x60
'deolt', # 0x61
'deolp', # 0x62
'deolh', # 0x63
'deom', # 0x64
'deob', # 0x65
'deobs', # 0x66
'deos', # 0x67
'deoss', # 0x68
'deong', # 0x69
'deoj', # 0x6a
'deoc', # 0x6b
'deok', # 0x6c
'deot', # 0x6d
'deop', # 0x6e
'deoh', # 0x6f
'de', # 0x70
'deg', # 0x71
'degg', # 0x72
'degs', # 0x73
'den', # 0x74
'denj', # 0x75
'denh', # 0x76
'ded', # 0x77
'del', # 0x78
'delg', # 0x79
'delm', # 0x7a
'delb', # 0x7b
'dels', # 0x7c
'delt', # 0x7d
'delp', # 0x7e
'delh', # 0x7f
'dem', # 0x80
'deb', # 0x81
'debs', # 0x82
'des', # 0x83
'dess', # 0x84
'deng', # 0x85
'dej', # 0x86
'dec', # 0x87
'dek', # 0x88
'det', # 0x89
'dep', # 0x8a
'deh', # 0x8b
'dyeo', # 0x8c
'dyeog', # 0x8d
'dyeogg', # 0x8e
'dyeogs', # 0x8f
'dyeon', # 0x90
'dyeonj', # 0x91
'dyeonh', # 0x92
'dyeod', # 0x93
'dyeol', # 0x94
'dyeolg', # 0x95
'dyeolm', # 0x96
'dyeolb', # 0x97
'dyeols', # 0x98
'dyeolt', # 0x99
'dyeolp', # 0x9a
'dyeolh', # 0x9b
'dyeom', # 0x9c
'dyeob', # 0x9d
'dyeobs', # 0x9e
'dyeos', # 0x9f
'dyeoss', # 0xa0
'dyeong', # 0xa1
'dyeoj', # 0xa2
'dyeoc', # 0xa3
'dyeok', # 0xa4
'dyeot', # 0xa5
'dyeop', # 0xa6
'dyeoh', # 0xa7
'dye', # 0xa8
'dyeg', # 0xa9
'dyegg', # 0xaa
'dyegs', # 0xab
'dyen', # 0xac
'dyenj', # 0xad
'dyenh', # 0xae
'dyed', # 0xaf
'dyel', # 0xb0
'dyelg', # 0xb1
'dyelm', # 0xb2
'dyelb', # 0xb3
'dyels', # 0xb4
'dyelt', # 0xb5
'dyelp', # 0xb6
'dyelh', # 0xb7
'dyem', # 0xb8
'dyeb', # 0xb9
'dyebs', # 0xba
'dyes', # 0xbb
'dyess', # 0xbc
'dyeng', # 0xbd
'dyej', # 0xbe
'dyec', # 0xbf
'dyek', # 0xc0
'dyet', # 0xc1
'dyep', # 0xc2
'dyeh', # 0xc3
'do', # 0xc4
'dog', # 0xc5
'dogg', # 0xc6
'dogs', # 0xc7
'don', # 0xc8
'donj', # 0xc9
'donh', # 0xca
'dod', # 0xcb
'dol', # 0xcc
'dolg', # 0xcd
'dolm', # 0xce
'dolb', # 0xcf
'dols', # 0xd0
'dolt', # 0xd1
'dolp', # 0xd2
'dolh', # 0xd3
'dom', # 0xd4
'dob', # 0xd5
'dobs', # 0xd6
'dos', # 0xd7
'doss', # 0xd8
'dong', # 0xd9
'doj', # 0xda
'doc', # 0xdb
'dok', # 0xdc
'dot', # 0xdd
'dop', # 0xde
'doh', # 0xdf
'dwa', # 0xe0
'dwag', # 0xe1
'dwagg', # 0xe2
'dwags', # 0xe3
'dwan', # 0xe4
'dwanj', # 0xe5
'dwanh', # 0xe6
'dwad', # 0xe7
'dwal', # 0xe8
'dwalg', # 0xe9
'dwalm', # 0xea
'dwalb', # 0xeb
'dwals', # 0xec
'dwalt', # 0xed
'dwalp', # 0xee
'dwalh', # 0xef
'dwam', # 0xf0
'dwab', # 0xf1
'dwabs', # 0xf2
'dwas', # 0xf3
'dwass', # 0xf4
'dwang', # 0xf5
'dwaj', # 0xf6
'dwac', # 0xf7
'dwak', # 0xf8
'dwat', # 0xf9
'dwap', # 0xfa
'dwah', # 0xfb
'dwae', # 0xfc
'dwaeg', # 0xfd
'dwaegg', # 0xfe
'dwaegs', # 0xff
)
x0b4 = (
'dwaen', # 0x00
'dwaenj', # 0x01
'dwaenh', # 0x02
'dwaed', # 0x03
'dwael', # 0x04
'dwaelg', # 0x05
'dwaelm', # 0x06
'dwaelb', # 0x07
'dwaels', # 0x08
'dwaelt', # 0x09
'dwaelp', # 0x0a
'dwaelh', # 0x0b
'dwaem', # 0x0c
'dwaeb', # 0x0d
'dwaebs', # 0x0e
'dwaes', # 0x0f
'dwaess', # 0x10
'dwaeng', # 0x11
'dwaej', # 0x12
'dwaec', # 0x13
'dwaek', # 0x14
'dwaet', # 0x15
'dwaep', # 0x16
'dwaeh', # 0x17
'doe', # 0x18
'doeg', # 0x19
'doegg', # 0x1a
'doegs', # 0x1b
'doen', # 0x1c
'doenj', # 0x1d
'doenh', # 0x1e
'doed', # 0x1f
'doel', # 0x20
'doelg', # 0x21
'doelm', # 0x22
'doelb', # 0x23
'doels', # 0x24
'doelt', # 0x25
'doelp', # 0x26
'doelh', # 0x27
'doem', # 0x28
'doeb', # 0x29
'doebs', # 0x2a
'does', # 0x2b
'doess', # 0x2c
'doeng', # 0x2d
'doej', # 0x2e
'doec', # 0x2f
'doek', # 0x30
'doet', # 0x31
'doep', # 0x32
'doeh', # 0x33
'dyo', # 0x34
'dyog', # 0x35
'dyogg', # 0x36
'dyogs', # 0x37
'dyon', # 0x38
'dyonj', # 0x39
'dyonh', # 0x3a
'dyod', # 0x3b
'dyol', # 0x3c
'dyolg', # 0x3d
'dyolm', # 0x3e
'dyolb', # 0x3f
'dyols', # 0x40
'dyolt', # 0x41
'dyolp', # 0x42
'dyolh', # 0x43
'dyom', # 0x44
'dyob', # 0x45
'dyobs', # 0x46
'dyos', # 0x47
'dyoss', # 0x48
'dyong', # 0x49
'dyoj', # 0x4a
'dyoc', # 0x4b
'dyok', # 0x4c
'dyot', # 0x4d
'dyop', # 0x4e
'dyoh', # 0x4f
'du', # 0x50
'dug', # 0x51
'dugg', # 0x52
'dugs', # 0x53
'dun', # 0x54
'dunj', # 0x55
'dunh', # 0x56
'dud', # 0x57
'dul', # 0x58
'dulg', # 0x59
'dulm', # 0x5a
'dulb', # 0x5b
'duls', # 0x5c
'dult', # 0x5d
'dulp', # 0x5e
'dulh', # 0x5f
'dum', # 0x60
'dub', # 0x61
'dubs', # 0x62
'dus', # 0x63
'duss', # 0x64
'dung', # 0x65
'duj', # 0x66
'duc', # 0x67
'duk', # 0x68
'dut', # 0x69
'dup', # 0x6a
'duh', # 0x6b
'dweo', # 0x6c
'dweog', # 0x6d
'dweogg', # 0x6e
'dweogs', # 0x6f
'dweon', # 0x70
'dweonj', # 0x71
'dweonh', # 0x72
'dweod', # 0x73
'dweol', # 0x74
'dweolg', # 0x75
'dweolm', # 0x76
'dweolb', # 0x77
'dweols', # 0x78
'dweolt', # 0x79
'dweolp', # 0x7a
'dweolh', # 0x7b
'dweom', # 0x7c
'dweob', # 0x7d
'dweobs', # 0x7e
'dweos', # 0x7f
'dweoss', # 0x80
'dweong', # 0x81
'dweoj', # 0x82
'dweoc', # 0x83
'dweok', # 0x84
'dweot', # 0x85
'dweop', # 0x86
'dweoh', # 0x87
'dwe', # 0x88
'dweg', # 0x89
'dwegg', # 0x8a
'dwegs', # 0x8b
'dwen', # 0x8c
'dwenj', # 0x8d
'dwenh', # 0x8e
'dwed', # 0x8f
'dwel', # 0x90
'dwelg', # 0x91
'dwelm', # 0x92
'dwelb', # 0x93
'dwels', # 0x94
'dwelt', # 0x95
'dwelp', # 0x96
'dwelh', # 0x97
'dwem', # 0x98
'dweb', # 0x99
'dwebs', # 0x9a
'dwes', # 0x9b
'dwess', # 0x9c
'dweng', # 0x9d
'dwej', # 0x9e
'dwec', # 0x9f
'dwek', # 0xa0
'dwet', # 0xa1
'dwep', # 0xa2
'dweh', # 0xa3
'dwi', # 0xa4
'dwig', # 0xa5
'dwigg', # 0xa6
'dwigs', # 0xa7
'dwin', # 0xa8
'dwinj', # 0xa9
'dwinh', # 0xaa
'dwid', # 0xab
'dwil', # 0xac
'dwilg', # 0xad
'dwilm', # 0xae
'dwilb', # 0xaf
'dwils', # 0xb0
'dwilt', # 0xb1
'dwilp', # 0xb2
'dwilh', # 0xb3
'dwim', # 0xb4
'dwib', # 0xb5
'dwibs', # 0xb6
'dwis', # 0xb7
'dwiss', # 0xb8
'dwing', # 0xb9
'dwij', # 0xba
'dwic', # 0xbb
'dwik', # 0xbc
'dwit', # 0xbd
'dwip', # 0xbe
'dwih', # 0xbf
'dyu', # 0xc0
'dyug', # 0xc1
'dyugg', # 0xc2
'dyugs', # 0xc3
'dyun', # 0xc4
'dyunj', # 0xc5
'dyunh', # 0xc6
'dyud', # 0xc7
'dyul', # 0xc8
'dyulg', # 0xc9
'dyulm', # 0xca
'dyulb', # 0xcb
'dyuls', # 0xcc
'dyult', # 0xcd
'dyulp', # 0xce
'dyulh', # 0xcf
'dyum', # 0xd0
'dyub', # 0xd1
'dyubs', # 0xd2
'dyus', # 0xd3
'dyuss', # 0xd4
'dyung', # 0xd5
'dyuj', # 0xd6
'dyuc', # 0xd7
'dyuk', # 0xd8
'dyut', # 0xd9
'dyup', # 0xda
'dyuh', # 0xdb
'deu', # 0xdc
'deug', # 0xdd
'deugg', # 0xde
'deugs', # 0xdf
'deun', # 0xe0
'deunj', # 0xe1
'deunh', # 0xe2
'deud', # 0xe3
'deul', # 0xe4
'deulg', # 0xe5
'deulm', # 0xe6
'deulb', # 0xe7
'deuls', # 0xe8
'deult', # 0xe9
'deulp', # 0xea
'deulh', # 0xeb
'deum', # 0xec
'deub', # 0xed
'deubs', # 0xee
'deus', # 0xef
'deuss', # 0xf0
'deung', # 0xf1
'deuj', # 0xf2
'deuc', # 0xf3
'deuk', # 0xf4
'deut', # 0xf5
'deup', # 0xf6
'deuh', # 0xf7
'dyi', # 0xf8
'dyig', # 0xf9
'dyigg', # 0xfa
'dyigs', # 0xfb
'dyin', # 0xfc
'dyinj', # 0xfd
'dyinh', # 0xfe
'dyid', # 0xff
)
x0b5 = (
'dyil', # 0x00
'dyilg', # 0x01
'dyilm', # 0x02
'dyilb', # 0x03
'dyils', # 0x04
'dyilt', # 0x05
'dyilp', # 0x06
'dyilh', # 0x07
'dyim', # 0x08
'dyib', # 0x09
'dyibs', # 0x0a
'dyis', # 0x0b
'dyiss', # 0x0c
'dying', # 0x0d
'dyij', # 0x0e
'dyic', # 0x0f
'dyik', # 0x10
'dyit', # 0x11
'dyip', # 0x12
'dyih', # 0x13
'di', # 0x14
'dig', # 0x15
'digg', # 0x16
'digs', # 0x17
'din', # 0x18
'dinj', # 0x19
'dinh', # 0x1a
'did', # 0x1b
'dil', # 0x1c
'dilg', # 0x1d
'dilm', # 0x1e
'dilb', # 0x1f
'dils', # 0x20
'dilt', # 0x21
'dilp', # 0x22
'dilh', # 0x23
'dim', # 0x24
'dib', # 0x25
'dibs', # 0x26
'dis', # 0x27
'diss', # 0x28
'ding', # 0x29
'dij', # 0x2a
'dic', # 0x2b
'dik', # 0x2c
'dit', # 0x2d
'dip', # 0x2e
'dih', # 0x2f
'dda', # 0x30
'ddag', # 0x31
'ddagg', # 0x32
'ddags', # 0x33
'ddan', # 0x34
'ddanj', # 0x35
'ddanh', # 0x36
'ddad', # 0x37
'ddal', # 0x38
'ddalg', # 0x39
'ddalm', # 0x3a
'ddalb', # 0x3b
'ddals', # 0x3c
'ddalt', # 0x3d
'ddalp', # 0x3e
'ddalh', # 0x3f
'ddam', # 0x40
'ddab', # 0x41
'ddabs', # 0x42
'ddas', # 0x43
'ddass', # 0x44
'ddang', # 0x45
'ddaj', # 0x46
'ddac', # 0x47
'ddak', # 0x48
'ddat', # 0x49
'ddap', # 0x4a
'ddah', # 0x4b
'ddae', # 0x4c
'ddaeg', # 0x4d
'ddaegg', # 0x4e
'ddaegs', # 0x4f
'ddaen', # 0x50
'ddaenj', # 0x51
'ddaenh', # 0x52
'ddaed', # 0x53
'ddael', # 0x54
'ddaelg', # 0x55
'ddaelm', # 0x56
'ddaelb', # 0x57
'ddaels', # 0x58
'ddaelt', # 0x59
'ddaelp', # 0x5a
'ddaelh', # 0x5b
'ddaem', # 0x5c
'ddaeb', # 0x5d
'ddaebs', # 0x5e
'ddaes', # 0x5f
'ddaess', # 0x60
'ddaeng', # 0x61
'ddaej', # 0x62
'ddaec', # 0x63
'ddaek', # 0x64
'ddaet', # 0x65
'ddaep', # 0x66
'ddaeh', # 0x67
'ddya', # 0x68
'ddyag', # 0x69
'ddyagg', # 0x6a
'ddyags', # 0x6b
'ddyan', # 0x6c
'ddyanj', # 0x6d
'ddyanh', # 0x6e
'ddyad', # 0x6f
'ddyal', # 0x70
'ddyalg', # 0x71
'ddyalm', # 0x72
'ddyalb', # 0x73
'ddyals', # 0x74
'ddyalt', # 0x75
'ddyalp', # 0x76
'ddyalh', # 0x77
'ddyam', # 0x78
'ddyab', # 0x79
'ddyabs', # 0x7a
'ddyas', # 0x7b
'ddyass', # 0x7c
'ddyang', # 0x7d
'ddyaj', # 0x7e
'ddyac', # 0x7f
'ddyak', # 0x80
'ddyat', # 0x81
'ddyap', # 0x82
'ddyah', # 0x83
'ddyae', # 0x84
'ddyaeg', # 0x85
'ddyaegg', # 0x86
'ddyaegs', # 0x87
'ddyaen', # 0x88
'ddyaenj', # 0x89
'ddyaenh', # 0x8a
'ddyaed', # 0x8b
'ddyael', # 0x8c
'ddyaelg', # 0x8d
'ddyaelm', # 0x8e
'ddyaelb', # 0x8f
'ddyaels', # 0x90
'ddyaelt', # 0x91
'ddyaelp', # 0x92
'ddyaelh', # 0x93
'ddyaem', # 0x94
'ddyaeb', # 0x95
'ddyaebs', # 0x96
'ddyaes', # 0x97
'ddyaess', # 0x98
'ddyaeng', # 0x99
'ddyaej', # 0x9a
'ddyaec', # 0x9b
'ddyaek', # 0x9c
'ddyaet', # 0x9d
'ddyaep', # 0x9e
'ddyaeh', # 0x9f
'ddeo', # 0xa0
'ddeog', # 0xa1
'ddeogg', # 0xa2
'ddeogs', # 0xa3
'ddeon', # 0xa4
'ddeonj', # 0xa5
'ddeonh', # 0xa6
'ddeod', # 0xa7
'ddeol', # 0xa8
'ddeolg', # 0xa9
'ddeolm', # 0xaa
'ddeolb', # 0xab
'ddeols', # 0xac
'ddeolt', # 0xad
'ddeolp', # 0xae
'ddeolh', # 0xaf
'ddeom', # 0xb0
'ddeob', # 0xb1
'ddeobs', # 0xb2
'ddeos', # 0xb3
'ddeoss', # 0xb4
'ddeong', # 0xb5
'ddeoj', # 0xb6
'ddeoc', # 0xb7
'ddeok', # 0xb8
'ddeot', # 0xb9
'ddeop', # 0xba
'ddeoh', # 0xbb
'dde', # 0xbc
'ddeg', # 0xbd
'ddegg', # 0xbe
'ddegs', # 0xbf
'dden', # 0xc0
'ddenj', # 0xc1
'ddenh', # 0xc2
'dded', # 0xc3
'ddel', # 0xc4
'ddelg', # 0xc5
'ddelm', # 0xc6
'ddelb', # 0xc7
'ddels', # 0xc8
'ddelt', # 0xc9
'ddelp', # 0xca
'ddelh', # 0xcb
'ddem', # 0xcc
'ddeb', # 0xcd
'ddebs', # 0xce
'ddes', # 0xcf
'ddess', # 0xd0
'ddeng', # 0xd1
'ddej', # 0xd2
'ddec', # 0xd3
'ddek', # 0xd4
'ddet', # 0xd5
'ddep', # 0xd6
'ddeh', # 0xd7
'ddyeo', # 0xd8
'ddyeog', # 0xd9
'ddyeogg', # 0xda
'ddyeogs', # 0xdb
'ddyeon', # 0xdc
'ddyeonj', # 0xdd
'ddyeonh', # 0xde
'ddyeod', # 0xdf
'ddyeol', # 0xe0
'ddyeolg', # 0xe1
'ddyeolm', # 0xe2
'ddyeolb', # 0xe3
'ddyeols', # 0xe4
'ddyeolt', # 0xe5
'ddyeolp', # 0xe6
'ddyeolh', # 0xe7
'ddyeom', # 0xe8
'ddyeob', # 0xe9
'ddyeobs', # 0xea
'ddyeos', # 0xeb
'ddyeoss', # 0xec
'ddyeong', # 0xed
'ddyeoj', # 0xee
'ddyeoc', # 0xef
'ddyeok', # 0xf0
'ddyeot', # 0xf1
'ddyeop', # 0xf2
'ddyeoh', # 0xf3
'ddye', # 0xf4
'ddyeg', # 0xf5
'ddyegg', # 0xf6
'ddyegs', # 0xf7
'ddyen', # 0xf8
'ddyenj', # 0xf9
'ddyenh', # 0xfa
'ddyed', # 0xfb
'ddyel', # 0xfc
'ddyelg', # 0xfd
'ddyelm', # 0xfe
'ddyelb', # 0xff
)
x0b6 = (
'ddyels', # 0x00
'ddyelt', # 0x01
'ddyelp', # 0x02
'ddyelh', # 0x03
'ddyem', # 0x04
'ddyeb', # 0x05
'ddyebs', # 0x06
'ddyes', # 0x07
'ddyess', # 0x08
'ddyeng', # 0x09
'ddyej', # 0x0a
'ddyec', # 0x0b
'ddyek', # 0x0c
'ddyet', # 0x0d
'ddyep', # 0x0e
'ddyeh', # 0x0f
'ddo', # 0x10
'ddog', # 0x11
'ddogg', # 0x12
'ddogs', # 0x13
'ddon', # 0x14
'ddonj', # 0x15
'ddonh', # 0x16
'ddod', # 0x17
'ddol', # 0x18
'ddolg', # 0x19
'ddolm', # 0x1a
'ddolb', # 0x1b
'ddols', # 0x1c
'ddolt', # 0x1d
'ddolp', # 0x1e
'ddolh', # 0x1f
'ddom', # 0x20
'ddob', # 0x21
'ddobs', # 0x22
'ddos', # 0x23
'ddoss', # 0x24
'ddong', # 0x25
'ddoj', # 0x26
'ddoc', # 0x27
'ddok', # 0x28
'ddot', # 0x29
'ddop', # 0x2a
'ddoh', # 0x2b
'ddwa', # 0x2c
'ddwag', # 0x2d
'ddwagg', # 0x2e
'ddwags', # 0x2f
'ddwan', # 0x30
'ddwanj', # 0x31
'ddwanh', # 0x32
'ddwad', # 0x33
'ddwal', # 0x34
'ddwalg', # 0x35
'ddwalm', # 0x36
'ddwalb', # 0x37
'ddwals', # 0x38
'ddwalt', # 0x39
'ddwalp', # 0x3a
'ddwalh', # 0x3b
'ddwam', # 0x3c
'ddwab', # 0x3d
'ddwabs', # 0x3e
'ddwas', # 0x3f
'ddwass', # 0x40
'ddwang', # 0x41
'ddwaj', # 0x42
'ddwac', # 0x43
'ddwak', # 0x44
'ddwat', # 0x45
'ddwap', # 0x46
'ddwah', # 0x47
'ddwae', # 0x48
'ddwaeg', # 0x49
'ddwaegg', # 0x4a
'ddwaegs', # 0x4b
'ddwaen', # 0x4c
'ddwaenj', # 0x4d
'ddwaenh', # 0x4e
'ddwaed', # 0x4f
'ddwael', # 0x50
'ddwaelg', # 0x51
'ddwaelm', # 0x52
'ddwaelb', # 0x53
'ddwaels', # 0x54
'ddwaelt', # 0x55
'ddwaelp', # 0x56
'ddwaelh', # 0x57
'ddwaem', # 0x58
'ddwaeb', # 0x59
'ddwaebs', # 0x5a
'ddwaes', # 0x5b
'ddwaess', # 0x5c
'ddwaeng', # 0x5d
'ddwaej', # 0x5e
'ddwaec', # 0x5f
'ddwaek', # 0x60
'ddwaet', # 0x61
'ddwaep', # 0x62
'ddwaeh', # 0x63
'ddoe', # 0x64
'ddoeg', # 0x65
'ddoegg', # 0x66
'ddoegs', # 0x67
'ddoen', # 0x68
'ddoenj', # 0x69
'ddoenh', # 0x6a
'ddoed', # 0x6b
'ddoel', # 0x6c
'ddoelg', # 0x6d
'ddoelm', # 0x6e
'ddoelb', # 0x6f
'ddoels', # 0x70
'ddoelt', # 0x71
'ddoelp', # 0x72
'ddoelh', # 0x73
'ddoem', # 0x74
'ddoeb', # 0x75
'ddoebs', # 0x76
'ddoes', # 0x77
'ddoess', # 0x78
'ddoeng', # 0x79
'ddoej', # 0x7a
'ddoec', # 0x7b
'ddoek', # 0x7c
'ddoet', # 0x7d
'ddoep', # 0x7e
'ddoeh', # 0x7f
'ddyo', # 0x80
'ddyog', # 0x81
'ddyogg', # 0x82
'ddyogs', # 0x83
'ddyon', # 0x84
'ddyonj', # 0x85
'ddyonh', # 0x86
'ddyod', # 0x87
'ddyol', # 0x88
'ddyolg', # 0x89
'ddyolm', # 0x8a
'ddyolb', # 0x8b
'ddyols', # 0x8c
'ddyolt', # 0x8d
'ddyolp', # 0x8e
'ddyolh', # 0x8f
'ddyom', # 0x90
'ddyob', # 0x91
'ddyobs', # 0x92
'ddyos', # 0x93
'ddyoss', # 0x94
'ddyong', # 0x95
'ddyoj', # 0x96
'ddyoc', # 0x97
'ddyok', # 0x98
'ddyot', # 0x99
'ddyop', # 0x9a
'ddyoh', # 0x9b
'ddu', # 0x9c
'ddug', # 0x9d
'ddugg', # 0x9e
'ddugs', # 0x9f
'ddun', # 0xa0
'ddunj', # 0xa1
'ddunh', # 0xa2
'ddud', # 0xa3
'ddul', # 0xa4
'ddulg', # 0xa5
'ddulm', # 0xa6
'ddulb', # 0xa7
'dduls', # 0xa8
'ddult', # 0xa9
'ddulp', # 0xaa
'ddulh', # 0xab
'ddum', # 0xac
'ddub', # 0xad
'ddubs', # 0xae
'ddus', # 0xaf
'dduss', # 0xb0
'ddung', # 0xb1
'dduj', # 0xb2
'dduc', # 0xb3
'dduk', # 0xb4
'ddut', # 0xb5
'ddup', # 0xb6
'dduh', # 0xb7
'ddweo', # 0xb8
'ddweog', # 0xb9
'ddweogg', # 0xba
'ddweogs', # 0xbb
'ddweon', # 0xbc
'ddweonj', # 0xbd
'ddweonh', # 0xbe
'ddweod', # 0xbf
'ddweol', # 0xc0
'ddweolg', # 0xc1
'ddweolm', # 0xc2
'ddweolb', # 0xc3
'ddweols', # 0xc4
'ddweolt', # 0xc5
'ddweolp', # 0xc6
'ddweolh', # 0xc7
'ddweom', # 0xc8
'ddweob', # 0xc9
'ddweobs', # 0xca
'ddweos', # 0xcb
'ddweoss', # 0xcc
'ddweong', # 0xcd
'ddweoj', # 0xce
'ddweoc', # 0xcf
'ddweok', # 0xd0
'ddweot', # 0xd1
'ddweop', # 0xd2
'ddweoh', # 0xd3
'ddwe', # 0xd4
'ddweg', # 0xd5
'ddwegg', # 0xd6
'ddwegs', # 0xd7
'ddwen', # 0xd8
'ddwenj', # 0xd9
'ddwenh', # 0xda
'ddwed', # 0xdb
'ddwel', # 0xdc
'ddwelg', # 0xdd
'ddwelm', # 0xde
'ddwelb', # 0xdf
'ddwels', # 0xe0
'ddwelt', # 0xe1
'ddwelp', # 0xe2
'ddwelh', # 0xe3
'ddwem', # 0xe4
'ddweb', # 0xe5
'ddwebs', # 0xe6
'ddwes', # 0xe7
'ddwess', # 0xe8
'ddweng', # 0xe9
'ddwej', # 0xea
'ddwec', # 0xeb
'ddwek', # 0xec
'ddwet', # 0xed
'ddwep', # 0xee
'ddweh', # 0xef
'ddwi', # 0xf0
'ddwig', # 0xf1
'ddwigg', # 0xf2
'ddwigs', # 0xf3
'ddwin', # 0xf4
'ddwinj', # 0xf5
'ddwinh', # 0xf6
'ddwid', # 0xf7
'ddwil', # 0xf8
'ddwilg', # 0xf9
'ddwilm', # 0xfa
'ddwilb', # 0xfb
'ddwils', # 0xfc
'ddwilt', # 0xfd
'ddwilp', # 0xfe
'ddwilh', # 0xff
)
x0b7 = (
'ddwim', # 0x00
'ddwib', # 0x01
'ddwibs', # 0x02
'ddwis', # 0x03
'ddwiss', # 0x04
'ddwing', # 0x05
'ddwij', # 0x06
'ddwic', # 0x07
'ddwik', # 0x08
'ddwit', # 0x09
'ddwip', # 0x0a
'ddwih', # 0x0b
'ddyu', # 0x0c
'ddyug', # 0x0d
'ddyugg', # 0x0e
'ddyugs', # 0x0f
'ddyun', # 0x10
'ddyunj', # 0x11
'ddyunh', # 0x12
'ddyud', # 0x13
'ddyul', # 0x14
'ddyulg', # 0x15
'ddyulm', # 0x16
'ddyulb', # 0x17
'ddyuls', # 0x18
'ddyult', # 0x19
'ddyulp', # 0x1a
'ddyulh', # 0x1b
'ddyum', # 0x1c
'ddyub', # 0x1d
'ddyubs', # 0x1e
'ddyus', # 0x1f
'ddyuss', # 0x20
'ddyung', # 0x21
'ddyuj', # 0x22
'ddyuc', # 0x23
'ddyuk', # 0x24
'ddyut', # 0x25
'ddyup', # 0x26
'ddyuh', # 0x27
'ddeu', # 0x28
'ddeug', # 0x29
'ddeugg', # 0x2a
'ddeugs', # 0x2b
'ddeun', # 0x2c
'ddeunj', # 0x2d
'ddeunh', # 0x2e
'ddeud', # 0x2f
'ddeul', # 0x30
'ddeulg', # 0x31
'ddeulm', # 0x32
'ddeulb', # 0x33
'ddeuls', # 0x34
'ddeult', # 0x35
'ddeulp', # 0x36
'ddeulh', # 0x37
'ddeum', # 0x38
'ddeub', # 0x39
'ddeubs', # 0x3a
'ddeus', # 0x3b
'ddeuss', # 0x3c
'ddeung', # 0x3d
'ddeuj', # 0x3e
'ddeuc', # 0x3f
'ddeuk', # 0x40
'ddeut', # 0x41
'ddeup', # 0x42
'ddeuh', # 0x43
'ddyi', # 0x44
'ddyig', # 0x45
'ddyigg', # 0x46
'ddyigs', # 0x47
'ddyin', # 0x48
'ddyinj', # 0x49
'ddyinh', # 0x4a
'ddyid', # 0x4b
'ddyil', # 0x4c
'ddyilg', # 0x4d
'ddyilm', # 0x4e
'ddyilb', # 0x4f
'ddyils', # 0x50
'ddyilt', # 0x51
'ddyilp', # 0x52
'ddyilh', # 0x53
'ddyim', # 0x54
'ddyib', # 0x55
'ddyibs', # 0x56
'ddyis', # 0x57
'ddyiss', # 0x58
'ddying', # 0x59
'ddyij', # 0x5a
'ddyic', # 0x5b
'ddyik', # 0x5c
'ddyit', # 0x5d
'ddyip', # 0x5e
'ddyih', # 0x5f
'ddi', # 0x60
'ddig', # 0x61
'ddigg', # 0x62
'ddigs', # 0x63
'ddin', # 0x64
'ddinj', # 0x65
'ddinh', # 0x66
'ddid', # 0x67
'ddil', # 0x68
'ddilg', # 0x69
'ddilm', # 0x6a
'ddilb', # 0x6b
'ddils', # 0x6c
'ddilt', # 0x6d
'ddilp', # 0x6e
'ddilh', # 0x6f
'ddim', # 0x70
'ddib', # 0x71
'ddibs', # 0x72
'ddis', # 0x73
'ddiss', # 0x74
'dding', # 0x75
'ddij', # 0x76
'ddic', # 0x77
'ddik', # 0x78
'ddit', # 0x79
'ddip', # 0x7a
'ddih', # 0x7b
'ra', # 0x7c
'rag', # 0x7d
'ragg', # 0x7e
'rags', # 0x7f
'ran', # 0x80
'ranj', # 0x81
'ranh', # 0x82
'rad', # 0x83
'ral', # 0x84
'ralg', # 0x85
'ralm', # 0x86
'ralb', # 0x87
'rals', # 0x88
'ralt', # 0x89
'ralp', # 0x8a
'ralh', # 0x8b
'ram', # 0x8c
'rab', # 0x8d
'rabs', # 0x8e
'ras', # 0x8f
'rass', # 0x90
'rang', # 0x91
'raj', # 0x92
'rac', # 0x93
'rak', # 0x94
'rat', # 0x95
'rap', # 0x96
'rah', # 0x97
'rae', # 0x98
'raeg', # 0x99
'raegg', # 0x9a
'raegs', # 0x9b
'raen', # 0x9c
'raenj', # 0x9d
'raenh', # 0x9e
'raed', # 0x9f
'rael', # 0xa0
'raelg', # 0xa1
'raelm', # 0xa2
'raelb', # 0xa3
'raels', # 0xa4
'raelt', # 0xa5
'raelp', # 0xa6
'raelh', # 0xa7
'raem', # 0xa8
'raeb', # 0xa9
'raebs', # 0xaa
'raes', # 0xab
'raess', # 0xac
'raeng', # 0xad
'raej', # 0xae
'raec', # 0xaf
'raek', # 0xb0
'raet', # 0xb1
'raep', # 0xb2
'raeh', # 0xb3
'rya', # 0xb4
'ryag', # 0xb5
'ryagg', # 0xb6
'ryags', # 0xb7
'ryan', # 0xb8
'ryanj', # 0xb9
'ryanh', # 0xba
'ryad', # 0xbb
'ryal', # 0xbc
'ryalg', # 0xbd
'ryalm', # 0xbe
'ryalb', # 0xbf
'ryals', # 0xc0
'ryalt', # 0xc1
'ryalp', # 0xc2
'ryalh', # 0xc3
'ryam', # 0xc4
'ryab', # 0xc5
'ryabs', # 0xc6
'ryas', # 0xc7
'ryass', # 0xc8
'ryang', # 0xc9
'ryaj', # 0xca
'ryac', # 0xcb
'ryak', # 0xcc
'ryat', # 0xcd
'ryap', # 0xce
'ryah', # 0xcf
'ryae', # 0xd0
'ryaeg', # 0xd1
'ryaegg', # 0xd2
'ryaegs', # 0xd3
'ryaen', # 0xd4
'ryaenj', # 0xd5
'ryaenh', # 0xd6
'ryaed', # 0xd7
'ryael', # 0xd8
'ryaelg', # 0xd9
'ryaelm', # 0xda
'ryaelb', # 0xdb
'ryaels', # 0xdc
'ryaelt', # 0xdd
'ryaelp', # 0xde
'ryaelh', # 0xdf
'ryaem', # 0xe0
'ryaeb', # 0xe1
'ryaebs', # 0xe2
'ryaes', # 0xe3
'ryaess', # 0xe4
'ryaeng', # 0xe5
'ryaej', # 0xe6
'ryaec', # 0xe7
'ryaek', # 0xe8
'ryaet', # 0xe9
'ryaep', # 0xea
'ryaeh', # 0xeb
'reo', # 0xec
'reog', # 0xed
'reogg', # 0xee
'reogs', # 0xef
'reon', # 0xf0
'reonj', # 0xf1
'reonh', # 0xf2
'reod', # 0xf3
'reol', # 0xf4
'reolg', # 0xf5
'reolm', # 0xf6
'reolb', # 0xf7
'reols', # 0xf8
'reolt', # 0xf9
'reolp', # 0xfa
'reolh', # 0xfb
'reom', # 0xfc
'reob', # 0xfd
'reobs', # 0xfe
'reos', # 0xff
)
x0b8 = (
'reoss', # 0x00
'reong', # 0x01
'reoj', # 0x02
'reoc', # 0x03
'reok', # 0x04
'reot', # 0x05
'reop', # 0x06
'reoh', # 0x07
're', # 0x08
'reg', # 0x09
'regg', # 0x0a
'regs', # 0x0b
'ren', # 0x0c
'renj', # 0x0d
'renh', # 0x0e
'red', # 0x0f
'rel', # 0x10
'relg', # 0x11
'relm', # 0x12
'relb', # 0x13
'rels', # 0x14
'relt', # 0x15
'relp', # 0x16
'relh', # 0x17
'rem', # 0x18
'reb', # 0x19
'rebs', # 0x1a
'res', # 0x1b
'ress', # 0x1c
'reng', # 0x1d
'rej', # 0x1e
'rec', # 0x1f
'rek', # 0x20
'ret', # 0x21
'rep', # 0x22
'reh', # 0x23
'ryeo', # 0x24
'ryeog', # 0x25
'ryeogg', # 0x26
'ryeogs', # 0x27
'ryeon', # 0x28
'ryeonj', # 0x29
'ryeonh', # 0x2a
'ryeod', # 0x2b
'ryeol', # 0x2c
'ryeolg', # 0x2d
'ryeolm', # 0x2e
'ryeolb', # 0x2f
'ryeols', # 0x30
'ryeolt', # 0x31
'ryeolp', # 0x32
'ryeolh', # 0x33
'ryeom', # 0x34
'ryeob', # 0x35
'ryeobs', # 0x36
'ryeos', # 0x37
'ryeoss', # 0x38
'ryeong', # 0x39
'ryeoj', # 0x3a
'ryeoc', # 0x3b
'ryeok', # 0x3c
'ryeot', # 0x3d
'ryeop', # 0x3e
'ryeoh', # 0x3f
'rye', # 0x40
'ryeg', # 0x41
'ryegg', # 0x42
'ryegs', # 0x43
'ryen', # 0x44
'ryenj', # 0x45
'ryenh', # 0x46
'ryed', # 0x47
'ryel', # 0x48
'ryelg', # 0x49
'ryelm', # 0x4a
'ryelb', # 0x4b
'ryels', # 0x4c
'ryelt', # 0x4d
'ryelp', # 0x4e
'ryelh', # 0x4f
'ryem', # 0x50
'ryeb', # 0x51
'ryebs', # 0x52
'ryes', # 0x53
'ryess', # 0x54
'ryeng', # 0x55
'ryej', # 0x56
'ryec', # 0x57
'ryek', # 0x58
'ryet', # 0x59
'ryep', # 0x5a
'ryeh', # 0x5b
'ro', # 0x5c
'rog', # 0x5d
'rogg', # 0x5e
'rogs', # 0x5f
'ron', # 0x60
'ronj', # 0x61
'ronh', # 0x62
'rod', # 0x63
'rol', # 0x64
'rolg', # 0x65
'rolm', # 0x66
'rolb', # 0x67
'rols', # 0x68
'rolt', # 0x69
'rolp', # 0x6a
'rolh', # 0x6b
'rom', # 0x6c
'rob', # 0x6d
'robs', # 0x6e
'ros', # 0x6f
'ross', # 0x70
'rong', # 0x71
'roj', # 0x72
'roc', # 0x73
'rok', # 0x74
'rot', # 0x75
'rop', # 0x76
'roh', # 0x77
'rwa', # 0x78
'rwag', # 0x79
'rwagg', # 0x7a
'rwags', # 0x7b
'rwan', # 0x7c
'rwanj', # 0x7d
'rwanh', # 0x7e
'rwad', # 0x7f
'rwal', # 0x80
'rwalg', # 0x81
'rwalm', # 0x82
'rwalb', # 0x83
'rwals', # 0x84
'rwalt', # 0x85
'rwalp', # 0x86
'rwalh', # 0x87
'rwam', # 0x88
'rwab', # 0x89
'rwabs', # 0x8a
'rwas', # 0x8b
'rwass', # 0x8c
'rwang', # 0x8d
'rwaj', # 0x8e
'rwac', # 0x8f
'rwak', # 0x90
'rwat', # 0x91
'rwap', # 0x92
'rwah', # 0x93
'rwae', # 0x94
'rwaeg', # 0x95
'rwaegg', # 0x96
'rwaegs', # 0x97
'rwaen', # 0x98
'rwaenj', # 0x99
'rwaenh', # 0x9a
'rwaed', # 0x9b
'rwael', # 0x9c
'rwaelg', # 0x9d
'rwaelm', # 0x9e
'rwaelb', # 0x9f
'rwaels', # 0xa0
'rwaelt', # 0xa1
'rwaelp', # 0xa2
'rwaelh', # 0xa3
'rwaem', # 0xa4
'rwaeb', # 0xa5
'rwaebs', # 0xa6
'rwaes', # 0xa7
'rwaess', # 0xa8
'rwaeng', # 0xa9
'rwaej', # 0xaa
'rwaec', # 0xab
'rwaek', # 0xac
'rwaet', # 0xad
'rwaep', # 0xae
'rwaeh', # 0xaf
'roe', # 0xb0
'roeg', # 0xb1
'roegg', # 0xb2
'roegs', # 0xb3
'roen', # 0xb4
'roenj', # 0xb5
'roenh', # 0xb6
'roed', # 0xb7
'roel', # 0xb8
'roelg', # 0xb9
'roelm', # 0xba
'roelb', # 0xbb
'roels', # 0xbc
'roelt', # 0xbd
'roelp', # 0xbe
'roelh', # 0xbf
'roem', # 0xc0
'roeb', # 0xc1
'roebs', # 0xc2
'roes', # 0xc3
'roess', # 0xc4
'roeng', # 0xc5
'roej', # 0xc6
'roec', # 0xc7
'roek', # 0xc8
'roet', # 0xc9
'roep', # 0xca
'roeh', # 0xcb
'ryo', # 0xcc
'ryog', # 0xcd
'ryogg', # 0xce
'ryogs', # 0xcf
'ryon', # 0xd0
'ryonj', # 0xd1
'ryonh', # 0xd2
'ryod', # 0xd3
'ryol', # 0xd4
'ryolg', # 0xd5
'ryolm', # 0xd6
'ryolb', # 0xd7
'ryols', # 0xd8
'ryolt', # 0xd9
'ryolp', # 0xda
'ryolh', # 0xdb
'ryom', # 0xdc
'ryob', # 0xdd
'ryobs', # 0xde
'ryos', # 0xdf
'ryoss', # 0xe0
'ryong', # 0xe1
'ryoj', # 0xe2
'ryoc', # 0xe3
'ryok', # 0xe4
'ryot', # 0xe5
'ryop', # 0xe6
'ryoh', # 0xe7
'ru', # 0xe8
'rug', # 0xe9
'rugg', # 0xea
'rugs', # 0xeb
'run', # 0xec
'runj', # 0xed
'runh', # 0xee
'rud', # 0xef
'rul', # 0xf0
'rulg', # 0xf1
'rulm', # 0xf2
'rulb', # 0xf3
'ruls', # 0xf4
'rult', # 0xf5
'rulp', # 0xf6
'rulh', # 0xf7
'rum', # 0xf8
'rub', # 0xf9
'rubs', # 0xfa
'rus', # 0xfb
'russ', # 0xfc
'rung', # 0xfd
'ruj', # 0xfe
'ruc', # 0xff
)
x0b9 = (
'ruk', # 0x00
'rut', # 0x01
'rup', # 0x02
'ruh', # 0x03
'rweo', # 0x04
'rweog', # 0x05
'rweogg', # 0x06
'rweogs', # 0x07
'rweon', # 0x08
'rweonj', # 0x09
'rweonh', # 0x0a
'rweod', # 0x0b
'rweol', # 0x0c
'rweolg', # 0x0d
'rweolm', # 0x0e
'rweolb', # 0x0f
'rweols', # 0x10
'rweolt', # 0x11
'rweolp', # 0x12
'rweolh', # 0x13
'rweom', # 0x14
'rweob', # 0x15
'rweobs', # 0x16
'rweos', # 0x17
'rweoss', # 0x18
'rweong', # 0x19
'rweoj', # 0x1a
'rweoc', # 0x1b
'rweok', # 0x1c
'rweot', # 0x1d
'rweop', # 0x1e
'rweoh', # 0x1f
'rwe', # 0x20
'rweg', # 0x21
'rwegg', # 0x22
'rwegs', # 0x23
'rwen', # 0x24
'rwenj', # 0x25
'rwenh', # 0x26
'rwed', # 0x27
'rwel', # 0x28
'rwelg', # 0x29
'rwelm', # 0x2a
'rwelb', # 0x2b
'rwels', # 0x2c
'rwelt', # 0x2d
'rwelp', # 0x2e
'rwelh', # 0x2f
'rwem', # 0x30
'rweb', # 0x31
'rwebs', # 0x32
'rwes', # 0x33
'rwess', # 0x34
'rweng', # 0x35
'rwej', # 0x36
'rwec', # 0x37
'rwek', # 0x38
'rwet', # 0x39
'rwep', # 0x3a
'rweh', # 0x3b
'rwi', # 0x3c
'rwig', # 0x3d
'rwigg', # 0x3e
'rwigs', # 0x3f
'rwin', # 0x40
'rwinj', # 0x41
'rwinh', # 0x42
'rwid', # 0x43
'rwil', # 0x44
'rwilg', # 0x45
'rwilm', # 0x46
'rwilb', # 0x47
'rwils', # 0x48
'rwilt', # 0x49
'rwilp', # 0x4a
'rwilh', # 0x4b
'rwim', # 0x4c
'rwib', # 0x4d
'rwibs', # 0x4e
'rwis', # 0x4f
'rwiss', # 0x50
'rwing', # 0x51
'rwij', # 0x52
'rwic', # 0x53
'rwik', # 0x54
'rwit', # 0x55
'rwip', # 0x56
'rwih', # 0x57
'ryu', # 0x58
'ryug', # 0x59
'ryugg', # 0x5a
'ryugs', # 0x5b
'ryun', # 0x5c
'ryunj', # 0x5d
'ryunh', # 0x5e
'ryud', # 0x5f
'ryul', # 0x60
'ryulg', # 0x61
'ryulm', # 0x62
'ryulb', # 0x63
'ryuls', # 0x64
'ryult', # 0x65
'ryulp', # 0x66
'ryulh', # 0x67
'ryum', # 0x68
'ryub', # 0x69
'ryubs', # 0x6a
'ryus', # 0x6b
'ryuss', # 0x6c
'ryung', # 0x6d
'ryuj', # 0x6e
'ryuc', # 0x6f
'ryuk', # 0x70
'ryut', # 0x71
'ryup', # 0x72
'ryuh', # 0x73
'reu', # 0x74
'reug', # 0x75
'reugg', # 0x76
'reugs', # 0x77
'reun', # 0x78
'reunj', # 0x79
'reunh', # 0x7a
'reud', # 0x7b
'reul', # 0x7c
'reulg', # 0x7d
'reulm', # 0x7e
'reulb', # 0x7f
'reuls', # 0x80
'reult', # 0x81
'reulp', # 0x82
'reulh', # 0x83
'reum', # 0x84
'reub', # 0x85
'reubs', # 0x86
'reus', # 0x87
'reuss', # 0x88
'reung', # 0x89
'reuj', # 0x8a
'reuc', # 0x8b
'reuk', # 0x8c
'reut', # 0x8d
'reup', # 0x8e
'reuh', # 0x8f
'ryi', # 0x90
'ryig', # 0x91
'ryigg', # 0x92
'ryigs', # 0x93
'ryin', # 0x94
'ryinj', # 0x95
'ryinh', # 0x96
'ryid', # 0x97
'ryil', # 0x98
'ryilg', # 0x99
'ryilm', # 0x9a
'ryilb', # 0x9b
'ryils', # 0x9c
'ryilt', # 0x9d
'ryilp', # 0x9e
'ryilh', # 0x9f
'ryim', # 0xa0
'ryib', # 0xa1
'ryibs', # 0xa2
'ryis', # 0xa3
'ryiss', # 0xa4
'rying', # 0xa5
'ryij', # 0xa6
'ryic', # 0xa7
'ryik', # 0xa8
'ryit', # 0xa9
'ryip', # 0xaa
'ryih', # 0xab
'ri', # 0xac
'rig', # 0xad
'rigg', # 0xae
'rigs', # 0xaf
'rin', # 0xb0
'rinj', # 0xb1
'rinh', # 0xb2
'rid', # 0xb3
'ril', # 0xb4
'rilg', # 0xb5
'rilm', # 0xb6
'rilb', # 0xb7
'rils', # 0xb8
'rilt', # 0xb9
'rilp', # 0xba
'rilh', # 0xbb
'rim', # 0xbc
'rib', # 0xbd
'ribs', # 0xbe
'ris', # 0xbf
'riss', # 0xc0
'ring', # 0xc1
'rij', # 0xc2
'ric', # 0xc3
'rik', # 0xc4
'rit', # 0xc5
'rip', # 0xc6
'rih', # 0xc7
'ma', # 0xc8
'mag', # 0xc9
'magg', # 0xca
'mags', # 0xcb
'man', # 0xcc
'manj', # 0xcd
'manh', # 0xce
'mad', # 0xcf
'mal', # 0xd0
'malg', # 0xd1
'malm', # 0xd2
'malb', # 0xd3
'mals', # 0xd4
'malt', # 0xd5
'malp', # 0xd6
'malh', # 0xd7
'mam', # 0xd8
'mab', # 0xd9
'mabs', # 0xda
'mas', # 0xdb
'mass', # 0xdc
'mang', # 0xdd
'maj', # 0xde
'mac', # 0xdf
'mak', # 0xe0
'mat', # 0xe1
'map', # 0xe2
'mah', # 0xe3
'mae', # 0xe4
'maeg', # 0xe5
'maegg', # 0xe6
'maegs', # 0xe7
'maen', # 0xe8
'maenj', # 0xe9
'maenh', # 0xea
'maed', # 0xeb
'mael', # 0xec
'maelg', # 0xed
'maelm', # 0xee
'maelb', # 0xef
'maels', # 0xf0
'maelt', # 0xf1
'maelp', # 0xf2
'maelh', # 0xf3
'maem', # 0xf4
'maeb', # 0xf5
'maebs', # 0xf6
'maes', # 0xf7
'maess', # 0xf8
'maeng', # 0xf9
'maej', # 0xfa
'maec', # 0xfb
'maek', # 0xfc
'maet', # 0xfd
'maep', # 0xfe
'maeh', # 0xff
)
x0ba = (
'mya', # 0x00
'myag', # 0x01
'myagg', # 0x02
'myags', # 0x03
'myan', # 0x04
'myanj', # 0x05
'myanh', # 0x06
'myad', # 0x07
'myal', # 0x08
'myalg', # 0x09
'myalm', # 0x0a
'myalb', # 0x0b
'myals', # 0x0c
'myalt', # 0x0d
'myalp', # 0x0e
'myalh', # 0x0f
'myam', # 0x10
'myab', # 0x11
'myabs', # 0x12
'myas', # 0x13
'myass', # 0x14
'myang', # 0x15
'myaj', # 0x16
'myac', # 0x17
'myak', # 0x18
'myat', # 0x19
'myap', # 0x1a
'myah', # 0x1b
'myae', # 0x1c
'myaeg', # 0x1d
'myaegg', # 0x1e
'myaegs', # 0x1f
'myaen', # 0x20
'myaenj', # 0x21
'myaenh', # 0x22
'myaed', # 0x23
'myael', # 0x24
'myaelg', # 0x25
'myaelm', # 0x26
'myaelb', # 0x27
'myaels', # 0x28
'myaelt', # 0x29
'myaelp', # 0x2a
'myaelh', # 0x2b
'myaem', # 0x2c
'myaeb', # 0x2d
'myaebs', # 0x2e
'myaes', # 0x2f
'myaess', # 0x30
'myaeng', # 0x31
'myaej', # 0x32
'myaec', # 0x33
'myaek', # 0x34
'myaet', # 0x35
'myaep', # 0x36
'myaeh', # 0x37
'meo', # 0x38
'meog', # 0x39
'meogg', # 0x3a
'meogs', # 0x3b
'meon', # 0x3c
'meonj', # 0x3d
'meonh', # 0x3e
'meod', # 0x3f
'meol', # 0x40
'meolg', # 0x41
'meolm', # 0x42
'meolb', # 0x43
'meols', # 0x44
'meolt', # 0x45
'meolp', # 0x46
'meolh', # 0x47
'meom', # 0x48
'meob', # 0x49
'meobs', # 0x4a
'meos', # 0x4b
'meoss', # 0x4c
'meong', # 0x4d
'meoj', # 0x4e
'meoc', # 0x4f
'meok', # 0x50
'meot', # 0x51
'meop', # 0x52
'meoh', # 0x53
'me', # 0x54
'meg', # 0x55
'megg', # 0x56
'megs', # 0x57
'men', # 0x58
'menj', # 0x59
'menh', # 0x5a
'med', # 0x5b
'mel', # 0x5c
'melg', # 0x5d
'melm', # 0x5e
'melb', # 0x5f
'mels', # 0x60
'melt', # 0x61
'melp', # 0x62
'melh', # 0x63
'mem', # 0x64
'meb', # 0x65
'mebs', # 0x66
'mes', # 0x67
'mess', # 0x68
'meng', # 0x69
'mej', # 0x6a
'mec', # 0x6b
'mek', # 0x6c
'met', # 0x6d
'mep', # 0x6e
'meh', # 0x6f
'myeo', # 0x70
'myeog', # 0x71
'myeogg', # 0x72
'myeogs', # 0x73
'myeon', # 0x74
'myeonj', # 0x75
'myeonh', # 0x76
'myeod', # 0x77
'myeol', # 0x78
'myeolg', # 0x79
'myeolm', # 0x7a
'myeolb', # 0x7b
'myeols', # 0x7c
'myeolt', # 0x7d
'myeolp', # 0x7e
'myeolh', # 0x7f
'myeom', # 0x80
'myeob', # 0x81
'myeobs', # 0x82
'myeos', # 0x83
'myeoss', # 0x84
'myeong', # 0x85
'myeoj', # 0x86
'myeoc', # 0x87
'myeok', # 0x88
'myeot', # 0x89
'myeop', # 0x8a
'myeoh', # 0x8b
'mye', # 0x8c
'myeg', # 0x8d
'myegg', # 0x8e
'myegs', # 0x8f
'myen', # 0x90
'myenj', # 0x91
'myenh', # 0x92
'myed', # 0x93
'myel', # 0x94
'myelg', # 0x95
'myelm', # 0x96
'myelb', # 0x97
'myels', # 0x98
'myelt', # 0x99
'myelp', # 0x9a
'myelh', # 0x9b
'myem', # 0x9c
'myeb', # 0x9d
'myebs', # 0x9e
'myes', # 0x9f
'myess', # 0xa0
'myeng', # 0xa1
'myej', # 0xa2
'myec', # 0xa3
'myek', # 0xa4
'myet', # 0xa5
'myep', # 0xa6
'myeh', # 0xa7
'mo', # 0xa8
'mog', # 0xa9
'mogg', # 0xaa
'mogs', # 0xab
'mon', # 0xac
'monj', # 0xad
'monh', # 0xae
'mod', # 0xaf
'mol', # 0xb0
'molg', # 0xb1
'molm', # 0xb2
'molb', # 0xb3
'mols', # 0xb4
'molt', # 0xb5
'molp', # 0xb6
'molh', # 0xb7
'mom', # 0xb8
'mob', # 0xb9
'mobs', # 0xba
'mos', # 0xbb
'moss', # 0xbc
'mong', # 0xbd
'moj', # 0xbe
'moc', # 0xbf
'mok', # 0xc0
'mot', # 0xc1
'mop', # 0xc2
'moh', # 0xc3
'mwa', # 0xc4
'mwag', # 0xc5
'mwagg', # 0xc6
'mwags', # 0xc7
'mwan', # 0xc8
'mwanj', # 0xc9
'mwanh', # 0xca
'mwad', # 0xcb
'mwal', # 0xcc
'mwalg', # 0xcd
'mwalm', # 0xce
'mwalb', # 0xcf
'mwals', # 0xd0
'mwalt', # 0xd1
'mwalp', # 0xd2
'mwalh', # 0xd3
'mwam', # 0xd4
'mwab', # 0xd5
'mwabs', # 0xd6
'mwas', # 0xd7
'mwass', # 0xd8
'mwang', # 0xd9
'mwaj', # 0xda
'mwac', # 0xdb
'mwak', # 0xdc
'mwat', # 0xdd
'mwap', # 0xde
'mwah', # 0xdf
'mwae', # 0xe0
'mwaeg', # 0xe1
'mwaegg', # 0xe2
'mwaegs', # 0xe3
'mwaen', # 0xe4
'mwaenj', # 0xe5
'mwaenh', # 0xe6
'mwaed', # 0xe7
'mwael', # 0xe8
'mwaelg', # 0xe9
'mwaelm', # 0xea
'mwaelb', # 0xeb
'mwaels', # 0xec
'mwaelt', # 0xed
'mwaelp', # 0xee
'mwaelh', # 0xef
'mwaem', # 0xf0
'mwaeb', # 0xf1
'mwaebs', # 0xf2
'mwaes', # 0xf3
'mwaess', # 0xf4
'mwaeng', # 0xf5
'mwaej', # 0xf6
'mwaec', # 0xf7
'mwaek', # 0xf8
'mwaet', # 0xf9
'mwaep', # 0xfa
'mwaeh', # 0xfb
'moe', # 0xfc
'moeg', # 0xfd
'moegg', # 0xfe
'moegs', # 0xff
)
x0bb = (
'moen', # 0x00
'moenj', # 0x01
'moenh', # 0x02
'moed', # 0x03
'moel', # 0x04
'moelg', # 0x05
'moelm', # 0x06
'moelb', # 0x07
'moels', # 0x08
'moelt', # 0x09
'moelp', # 0x0a
'moelh', # 0x0b
'moem', # 0x0c
'moeb', # 0x0d
'moebs', # 0x0e
'moes', # 0x0f
'moess', # 0x10
'moeng', # 0x11
'moej', # 0x12
'moec', # 0x13
'moek', # 0x14
'moet', # 0x15
'moep', # 0x16
'moeh', # 0x17
'myo', # 0x18
'myog', # 0x19
'myogg', # 0x1a
'myogs', # 0x1b
'myon', # 0x1c
'myonj', # 0x1d
'myonh', # 0x1e
'myod', # 0x1f
'myol', # 0x20
'myolg', # 0x21
'myolm', # 0x22
'myolb', # 0x23
'myols', # 0x24
'myolt', # 0x25
'myolp', # 0x26
'myolh', # 0x27
'myom', # 0x28
'myob', # 0x29
'myobs', # 0x2a
'myos', # 0x2b
'myoss', # 0x2c
'myong', # 0x2d
'myoj', # 0x2e
'myoc', # 0x2f
'myok', # 0x30
'myot', # 0x31
'myop', # 0x32
'myoh', # 0x33
'mu', # 0x34
'mug', # 0x35
'mugg', # 0x36
'mugs', # 0x37
'mun', # 0x38
'munj', # 0x39
'munh', # 0x3a
'mud', # 0x3b
'mul', # 0x3c
'mulg', # 0x3d
'mulm', # 0x3e
'mulb', # 0x3f
'muls', # 0x40
'mult', # 0x41
'mulp', # 0x42
'mulh', # 0x43
'mum', # 0x44
'mub', # 0x45
'mubs', # 0x46
'mus', # 0x47
'muss', # 0x48
'mung', # 0x49
'muj', # 0x4a
'muc', # 0x4b
'muk', # 0x4c
'mut', # 0x4d
'mup', # 0x4e
'muh', # 0x4f
'mweo', # 0x50
'mweog', # 0x51
'mweogg', # 0x52
'mweogs', # 0x53
'mweon', # 0x54
'mweonj', # 0x55
'mweonh', # 0x56
'mweod', # 0x57
'mweol', # 0x58
'mweolg', # 0x59
'mweolm', # 0x5a
'mweolb', # 0x5b
'mweols', # 0x5c
'mweolt', # 0x5d
'mweolp', # 0x5e
'mweolh', # 0x5f
'mweom', # 0x60
'mweob', # 0x61
'mweobs', # 0x62
'mweos', # 0x63
'mweoss', # 0x64
'mweong', # 0x65
'mweoj', # 0x66
'mweoc', # 0x67
'mweok', # 0x68
'mweot', # 0x69
'mweop', # 0x6a
'mweoh', # 0x6b
'mwe', # 0x6c
'mweg', # 0x6d
'mwegg', # 0x6e
'mwegs', # 0x6f
'mwen', # 0x70
'mwenj', # 0x71
'mwenh', # 0x72
'mwed', # 0x73
'mwel', # 0x74
'mwelg', # 0x75
'mwelm', # 0x76
'mwelb', # 0x77
'mwels', # 0x78
'mwelt', # 0x79
'mwelp', # 0x7a
'mwelh', # 0x7b
'mwem', # 0x7c
'mweb', # 0x7d
'mwebs', # 0x7e
'mwes', # 0x7f
'mwess', # 0x80
'mweng', # 0x81
'mwej', # 0x82
'mwec', # 0x83
'mwek', # 0x84
'mwet', # 0x85
'mwep', # 0x86
'mweh', # 0x87
'mwi', # 0x88
'mwig', # 0x89
'mwigg', # 0x8a
'mwigs', # 0x8b
'mwin', # 0x8c
'mwinj', # 0x8d
'mwinh', # 0x8e
'mwid', # 0x8f
'mwil', # 0x90
'mwilg', # 0x91
'mwilm', # 0x92
'mwilb', # 0x93
'mwils', # 0x94
'mwilt', # 0x95
'mwilp', # 0x96
'mwilh', # 0x97
'mwim', # 0x98
'mwib', # 0x99
'mwibs', # 0x9a
'mwis', # 0x9b
'mwiss', # 0x9c
'mwing', # 0x9d
'mwij', # 0x9e
'mwic', # 0x9f
'mwik', # 0xa0
'mwit', # 0xa1
'mwip', # 0xa2
'mwih', # 0xa3
'myu', # 0xa4
'myug', # 0xa5
'myugg', # 0xa6
'myugs', # 0xa7
'myun', # 0xa8
'myunj', # 0xa9
'myunh', # 0xaa
'myud', # 0xab
'myul', # 0xac
'myulg', # 0xad
'myulm', # 0xae
'myulb', # 0xaf
'myuls', # 0xb0
'myult', # 0xb1
'myulp', # 0xb2
'myulh', # 0xb3
'myum', # 0xb4
'myub', # 0xb5
'myubs', # 0xb6
'myus', # 0xb7
'myuss', # 0xb8
'myung', # 0xb9
'myuj', # 0xba
'myuc', # 0xbb
'myuk', # 0xbc
'myut', # 0xbd
'myup', # 0xbe
'myuh', # 0xbf
'meu', # 0xc0
'meug', # 0xc1
'meugg', # 0xc2
'meugs', # 0xc3
'meun', # 0xc4
'meunj', # 0xc5
'meunh', # 0xc6
'meud', # 0xc7
'meul', # 0xc8
'meulg', # 0xc9
'meulm', # 0xca
'meulb', # 0xcb
'meuls', # 0xcc
'meult', # 0xcd
'meulp', # 0xce
'meulh', # 0xcf
'meum', # 0xd0
'meub', # 0xd1
'meubs', # 0xd2
'meus', # 0xd3
'meuss', # 0xd4
'meung', # 0xd5
'meuj', # 0xd6
'meuc', # 0xd7
'meuk', # 0xd8
'meut', # 0xd9
'meup', # 0xda
'meuh', # 0xdb
'myi', # 0xdc
'myig', # 0xdd
'myigg', # 0xde
'myigs', # 0xdf
'myin', # 0xe0
'myinj', # 0xe1
'myinh', # 0xe2
'myid', # 0xe3
'myil', # 0xe4
'myilg', # 0xe5
'myilm', # 0xe6
'myilb', # 0xe7
'myils', # 0xe8
'myilt', # 0xe9
'myilp', # 0xea
'myilh', # 0xeb
'myim', # 0xec
'myib', # 0xed
'myibs', # 0xee
'myis', # 0xef
'myiss', # 0xf0
'mying', # 0xf1
'myij', # 0xf2
'myic', # 0xf3
'myik', # 0xf4
'myit', # 0xf5
'myip', # 0xf6
'myih', # 0xf7
'mi', # 0xf8
'mig', # 0xf9
'migg', # 0xfa
'migs', # 0xfb
'min', # 0xfc
'minj', # 0xfd
'minh', # 0xfe
'mid', # 0xff
)
x0bc = (
'mil', # 0x00
'milg', # 0x01
'milm', # 0x02
'milb', # 0x03
'mils', # 0x04
'milt', # 0x05
'milp', # 0x06
'milh', # 0x07
'mim', # 0x08
'mib', # 0x09
'mibs', # 0x0a
'mis', # 0x0b
'miss', # 0x0c
'ming', # 0x0d
'mij', # 0x0e
'mic', # 0x0f
'mik', # 0x10
'mit', # 0x11
'mip', # 0x12
'mih', # 0x13
'ba', # 0x14
'bag', # 0x15
'bagg', # 0x16
'bags', # 0x17
'ban', # 0x18
'banj', # 0x19
'banh', # 0x1a
'bad', # 0x1b
'bal', # 0x1c
'balg', # 0x1d
'balm', # 0x1e
'balb', # 0x1f
'bals', # 0x20
'balt', # 0x21
'balp', # 0x22
'balh', # 0x23
'bam', # 0x24
'bab', # 0x25
'babs', # 0x26
'bas', # 0x27
'bass', # 0x28
'bang', # 0x29
'baj', # 0x2a
'bac', # 0x2b
'bak', # 0x2c
'bat', # 0x2d
'bap', # 0x2e
'bah', # 0x2f
'bae', # 0x30
'baeg', # 0x31
'baegg', # 0x32
'baegs', # 0x33
'baen', # 0x34
'baenj', # 0x35
'baenh', # 0x36
'baed', # 0x37
'bael', # 0x38
'baelg', # 0x39
'baelm', # 0x3a
'baelb', # 0x3b
'baels', # 0x3c
'baelt', # 0x3d
'baelp', # 0x3e
'baelh', # 0x3f
'baem', # 0x40
'baeb', # 0x41
'baebs', # 0x42
'baes', # 0x43
'baess', # 0x44
'baeng', # 0x45
'baej', # 0x46
'baec', # 0x47
'baek', # 0x48
'baet', # 0x49
'baep', # 0x4a
'baeh', # 0x4b
'bya', # 0x4c
'byag', # 0x4d
'byagg', # 0x4e
'byags', # 0x4f
'byan', # 0x50
'byanj', # 0x51
'byanh', # 0x52
'byad', # 0x53
'byal', # 0x54
'byalg', # 0x55
'byalm', # 0x56
'byalb', # 0x57
'byals', # 0x58
'byalt', # 0x59
'byalp', # 0x5a
'byalh', # 0x5b
'byam', # 0x5c
'byab', # 0x5d
'byabs', # 0x5e
'byas', # 0x5f
'byass', # 0x60
'byang', # 0x61
'byaj', # 0x62
'byac', # 0x63
'byak', # 0x64
'byat', # 0x65
'byap', # 0x66
'byah', # 0x67
'byae', # 0x68
'byaeg', # 0x69
'byaegg', # 0x6a
'byaegs', # 0x6b
'byaen', # 0x6c
'byaenj', # 0x6d
'byaenh', # 0x6e
'byaed', # 0x6f
'byael', # 0x70
'byaelg', # 0x71
'byaelm', # 0x72
'byaelb', # 0x73
'byaels', # 0x74
'byaelt', # 0x75
'byaelp', # 0x76
'byaelh', # 0x77
'byaem', # 0x78
'byaeb', # 0x79
'byaebs', # 0x7a
'byaes', # 0x7b
'byaess', # 0x7c
'byaeng', # 0x7d
'byaej', # 0x7e
'byaec', # 0x7f
'byaek', # 0x80
'byaet', # 0x81
'byaep', # 0x82
'byaeh', # 0x83
'beo', # 0x84
'beog', # 0x85
'beogg', # 0x86
'beogs', # 0x87
'beon', # 0x88
'beonj', # 0x89
'beonh', # 0x8a
'beod', # 0x8b
'beol', # 0x8c
'beolg', # 0x8d
'beolm', # 0x8e
'beolb', # 0x8f
'beols', # 0x90
'beolt', # 0x91
'beolp', # 0x92
'beolh', # 0x93
'beom', # 0x94
'beob', # 0x95
'beobs', # 0x96
'beos', # 0x97
'beoss', # 0x98
'beong', # 0x99
'beoj', # 0x9a
'beoc', # 0x9b
'beok', # 0x9c
'beot', # 0x9d
'beop', # 0x9e
'beoh', # 0x9f
'be', # 0xa0
'beg', # 0xa1
'begg', # 0xa2
'begs', # 0xa3
'ben', # 0xa4
'benj', # 0xa5
'benh', # 0xa6
'bed', # 0xa7
'bel', # 0xa8
'belg', # 0xa9
'belm', # 0xaa
'belb', # 0xab
'bels', # 0xac
'belt', # 0xad
'belp', # 0xae
'belh', # 0xaf
'bem', # 0xb0
'beb', # 0xb1
'bebs', # 0xb2
'bes', # 0xb3
'bess', # 0xb4
'beng', # 0xb5
'bej', # 0xb6
'bec', # 0xb7
'bek', # 0xb8
'bet', # 0xb9
'bep', # 0xba
'beh', # 0xbb
'byeo', # 0xbc
'byeog', # 0xbd
'byeogg', # 0xbe
'byeogs', # 0xbf
'byeon', # 0xc0
'byeonj', # 0xc1
'byeonh', # 0xc2
'byeod', # 0xc3
'byeol', # 0xc4
'byeolg', # 0xc5
'byeolm', # 0xc6
'byeolb', # 0xc7
'byeols', # 0xc8
'byeolt', # 0xc9
'byeolp', # 0xca
'byeolh', # 0xcb
'byeom', # 0xcc
'byeob', # 0xcd
'byeobs', # 0xce
'byeos', # 0xcf
'byeoss', # 0xd0
'byeong', # 0xd1
'byeoj', # 0xd2
'byeoc', # 0xd3
'byeok', # 0xd4
'byeot', # 0xd5
'byeop', # 0xd6
'byeoh', # 0xd7
'bye', # 0xd8
'byeg', # 0xd9
'byegg', # 0xda
'byegs', # 0xdb
'byen', # 0xdc
'byenj', # 0xdd
'byenh', # 0xde
'byed', # 0xdf
'byel', # 0xe0
'byelg', # 0xe1
'byelm', # 0xe2
'byelb', # 0xe3
'byels', # 0xe4
'byelt', # 0xe5
'byelp', # 0xe6
'byelh', # 0xe7
'byem', # 0xe8
'byeb', # 0xe9
'byebs', # 0xea
'byes', # 0xeb
'byess', # 0xec
'byeng', # 0xed
'byej', # 0xee
'byec', # 0xef
'byek', # 0xf0
'byet', # 0xf1
'byep', # 0xf2
'byeh', # 0xf3
'bo', # 0xf4
'bog', # 0xf5
'bogg', # 0xf6
'bogs', # 0xf7
'bon', # 0xf8
'bonj', # 0xf9
'bonh', # 0xfa
'bod', # 0xfb
'bol', # 0xfc
'bolg', # 0xfd
'bolm', # 0xfe
'bolb', # 0xff
)
x0bd = (
'bols', # 0x00
'bolt', # 0x01
'bolp', # 0x02
'bolh', # 0x03
'bom', # 0x04
'bob', # 0x05
'bobs', # 0x06
'bos', # 0x07
'boss', # 0x08
'bong', # 0x09
'boj', # 0x0a
'boc', # 0x0b
'bok', # 0x0c
'bot', # 0x0d
'bop', # 0x0e
'boh', # 0x0f
'bwa', # 0x10
'bwag', # 0x11
'bwagg', # 0x12
'bwags', # 0x13
'bwan', # 0x14
'bwanj', # 0x15
'bwanh', # 0x16
'bwad', # 0x17
'bwal', # 0x18
'bwalg', # 0x19
'bwalm', # 0x1a
'bwalb', # 0x1b
'bwals', # 0x1c
'bwalt', # 0x1d
'bwalp', # 0x1e
'bwalh', # 0x1f
'bwam', # 0x20
'bwab', # 0x21
'bwabs', # 0x22
'bwas', # 0x23
'bwass', # 0x24
'bwang', # 0x25
'bwaj', # 0x26
'bwac', # 0x27
'bwak', # 0x28
'bwat', # 0x29
'bwap', # 0x2a
'bwah', # 0x2b
'bwae', # 0x2c
'bwaeg', # 0x2d
'bwaegg', # 0x2e
'bwaegs', # 0x2f
'bwaen', # 0x30
'bwaenj', # 0x31
'bwaenh', # 0x32
'bwaed', # 0x33
'bwael', # 0x34
'bwaelg', # 0x35
'bwaelm', # 0x36
'bwaelb', # 0x37
'bwaels', # 0x38
'bwaelt', # 0x39
'bwaelp', # 0x3a
'bwaelh', # 0x3b
'bwaem', # 0x3c
'bwaeb', # 0x3d
'bwaebs', # 0x3e
'bwaes', # 0x3f
'bwaess', # 0x40
'bwaeng', # 0x41
'bwaej', # 0x42
'bwaec', # 0x43
'bwaek', # 0x44
'bwaet', # 0x45
'bwaep', # 0x46
'bwaeh', # 0x47
'boe', # 0x48
'boeg', # 0x49
'boegg', # 0x4a
'boegs', # 0x4b
'boen', # 0x4c
'boenj', # 0x4d
'boenh', # 0x4e
'boed', # 0x4f
'boel', # 0x50
'boelg', # 0x51
'boelm', # 0x52
'boelb', # 0x53
'boels', # 0x54
'boelt', # 0x55
'boelp', # 0x56
'boelh', # 0x57
'boem', # 0x58
'boeb', # 0x59
'boebs', # 0x5a
'boes', # 0x5b
'boess', # 0x5c
'boeng', # 0x5d
'boej', # 0x5e
'boec', # 0x5f
'boek', # 0x60
'boet', # 0x61
'boep', # 0x62
'boeh', # 0x63
'byo', # 0x64
'byog', # 0x65
'byogg', # 0x66
'byogs', # 0x67
'byon', # 0x68
'byonj', # 0x69
'byonh', # 0x6a
'byod', # 0x6b
'byol', # 0x6c
'byolg', # 0x6d
'byolm', # 0x6e
'byolb', # 0x6f
'byols', # 0x70
'byolt', # 0x71
'byolp', # 0x72
'byolh', # 0x73
'byom', # 0x74
'byob', # 0x75
'byobs', # 0x76
'byos', # 0x77
'byoss', # 0x78
'byong', # 0x79
'byoj', # 0x7a
'byoc', # 0x7b
'byok', # 0x7c
'byot', # 0x7d
'byop', # 0x7e
'byoh', # 0x7f
'bu', # 0x80
'bug', # 0x81
'bugg', # 0x82
'bugs', # 0x83
'bun', # 0x84
'bunj', # 0x85
'bunh', # 0x86
'bud', # 0x87
'bul', # 0x88
'bulg', # 0x89
'bulm', # 0x8a
'bulb', # 0x8b
'buls', # 0x8c
'bult', # 0x8d
'bulp', # 0x8e
'bulh', # 0x8f
'bum', # 0x90
'bub', # 0x91
'bubs', # 0x92
'bus', # 0x93
'buss', # 0x94
'bung', # 0x95
'buj', # 0x96
'buc', # 0x97
'buk', # 0x98
'but', # 0x99
'bup', # 0x9a
'buh', # 0x9b
'bweo', # 0x9c
'bweog', # 0x9d
'bweogg', # 0x9e
'bweogs', # 0x9f
'bweon', # 0xa0
'bweonj', # 0xa1
'bweonh', # 0xa2
'bweod', # 0xa3
'bweol', # 0xa4
'bweolg', # 0xa5
'bweolm', # 0xa6
'bweolb', # 0xa7
'bweols', # 0xa8
'bweolt', # 0xa9
'bweolp', # 0xaa
'bweolh', # 0xab
'bweom', # 0xac
'bweob', # 0xad
'bweobs', # 0xae
'bweos', # 0xaf
'bweoss', # 0xb0
'bweong', # 0xb1
'bweoj', # 0xb2
'bweoc', # 0xb3
'bweok', # 0xb4
'bweot', # 0xb5
'bweop', # 0xb6
'bweoh', # 0xb7
'bwe', # 0xb8
'bweg', # 0xb9
'bwegg', # 0xba
'bwegs', # 0xbb
'bwen', # 0xbc
'bwenj', # 0xbd
'bwenh', # 0xbe
'bwed', # 0xbf
'bwel', # 0xc0
'bwelg', # 0xc1
'bwelm', # 0xc2
'bwelb', # 0xc3
'bwels', # 0xc4
'bwelt', # 0xc5
'bwelp', # 0xc6
'bwelh', # 0xc7
'bwem', # 0xc8
'bweb', # 0xc9
'bwebs', # 0xca
'bwes', # 0xcb
'bwess', # 0xcc
'bweng', # 0xcd
'bwej', # 0xce
'bwec', # 0xcf
'bwek', # 0xd0
'bwet', # 0xd1
'bwep', # 0xd2
'bweh', # 0xd3
'bwi', # 0xd4
'bwig', # 0xd5
'bwigg', # 0xd6
'bwigs', # 0xd7
'bwin', # 0xd8
'bwinj', # 0xd9
'bwinh', # 0xda
'bwid', # 0xdb
'bwil', # 0xdc
'bwilg', # 0xdd
'bwilm', # 0xde
'bwilb', # 0xdf
'bwils', # 0xe0
'bwilt', # 0xe1
'bwilp', # 0xe2
'bwilh', # 0xe3
'bwim', # 0xe4
'bwib', # 0xe5
'bwibs', # 0xe6
'bwis', # 0xe7
'bwiss', # 0xe8
'bwing', # 0xe9
'bwij', # 0xea
'bwic', # 0xeb
'bwik', # 0xec
'bwit', # 0xed
'bwip', # 0xee
'bwih', # 0xef
'byu', # 0xf0
'byug', # 0xf1
'byugg', # 0xf2
'byugs', # 0xf3
'byun', # 0xf4
'byunj', # 0xf5
'byunh', # 0xf6
'byud', # 0xf7
'byul', # 0xf8
'byulg', # 0xf9
'byulm', # 0xfa
'byulb', # 0xfb
'byuls', # 0xfc
'byult', # 0xfd
'byulp', # 0xfe
'byulh', # 0xff
)
x0be = (
'byum', # 0x00
'byub', # 0x01
'byubs', # 0x02
'byus', # 0x03
'byuss', # 0x04
'byung', # 0x05
'byuj', # 0x06
'byuc', # 0x07
'byuk', # 0x08
'byut', # 0x09
'byup', # 0x0a
'byuh', # 0x0b
'beu', # 0x0c
'beug', # 0x0d
'beugg', # 0x0e
'beugs', # 0x0f
'beun', # 0x10
'beunj', # 0x11
'beunh', # 0x12
'beud', # 0x13
'beul', # 0x14
'beulg', # 0x15
'beulm', # 0x16
'beulb', # 0x17
'beuls', # 0x18
'beult', # 0x19
'beulp', # 0x1a
'beulh', # 0x1b
'beum', # 0x1c
'beub', # 0x1d
'beubs', # 0x1e
'beus', # 0x1f
'beuss', # 0x20
'beung', # 0x21
'beuj', # 0x22
'beuc', # 0x23
'beuk', # 0x24
'beut', # 0x25
'beup', # 0x26
'beuh', # 0x27
'byi', # 0x28
'byig', # 0x29
'byigg', # 0x2a
'byigs', # 0x2b
'byin', # 0x2c
'byinj', # 0x2d
'byinh', # 0x2e
'byid', # 0x2f
'byil', # 0x30
'byilg', # 0x31
'byilm', # 0x32
'byilb', # 0x33
'byils', # 0x34
'byilt', # 0x35
'byilp', # 0x36
'byilh', # 0x37
'byim', # 0x38
'byib', # 0x39
'byibs', # 0x3a
'byis', # 0x3b
'byiss', # 0x3c
'bying', # 0x3d
'byij', # 0x3e
'byic', # 0x3f
'byik', # 0x40
'byit', # 0x41
'byip', # 0x42
'byih', # 0x43
'bi', # 0x44
'big', # 0x45
'bigg', # 0x46
'bigs', # 0x47
'bin', # 0x48
'binj', # 0x49
'binh', # 0x4a
'bid', # 0x4b
'bil', # 0x4c
'bilg', # 0x4d
'bilm', # 0x4e
'bilb', # 0x4f
'bils', # 0x50
'bilt', # 0x51
'bilp', # 0x52
'bilh', # 0x53
'bim', # 0x54
'bib', # 0x55
'bibs', # 0x56
'bis', # 0x57
'biss', # 0x58
'bing', # 0x59
'bij', # 0x5a
'bic', # 0x5b
'bik', # 0x5c
'bit', # 0x5d
'bip', # 0x5e
'bih', # 0x5f
'bba', # 0x60
'bbag', # 0x61
'bbagg', # 0x62
'bbags', # 0x63
'bban', # 0x64
'bbanj', # 0x65
'bbanh', # 0x66
'bbad', # 0x67
'bbal', # 0x68
'bbalg', # 0x69
'bbalm', # 0x6a
'bbalb', # 0x6b
'bbals', # 0x6c
'bbalt', # 0x6d
'bbalp', # 0x6e
'bbalh', # 0x6f
'bbam', # 0x70
'bbab', # 0x71
'bbabs', # 0x72
'bbas', # 0x73
'bbass', # 0x74
'bbang', # 0x75
'bbaj', # 0x76
'bbac', # 0x77
'bbak', # 0x78
'bbat', # 0x79
'bbap', # 0x7a
'bbah', # 0x7b
'bbae', # 0x7c
'bbaeg', # 0x7d
'bbaegg', # 0x7e
'bbaegs', # 0x7f
'bbaen', # 0x80
'bbaenj', # 0x81
'bbaenh', # 0x82
'bbaed', # 0x83
'bbael', # 0x84
'bbaelg', # 0x85
'bbaelm', # 0x86
'bbaelb', # 0x87
'bbaels', # 0x88
'bbaelt', # 0x89
'bbaelp', # 0x8a
'bbaelh', # 0x8b
'bbaem', # 0x8c
'bbaeb', # 0x8d
'bbaebs', # 0x8e
'bbaes', # 0x8f
'bbaess', # 0x90
'bbaeng', # 0x91
'bbaej', # 0x92
'bbaec', # 0x93
'bbaek', # 0x94
'bbaet', # 0x95
'bbaep', # 0x96
'bbaeh', # 0x97
'bbya', # 0x98
'bbyag', # 0x99
'bbyagg', # 0x9a
'bbyags', # 0x9b
'bbyan', # 0x9c
'bbyanj', # 0x9d
'bbyanh', # 0x9e
'bbyad', # 0x9f
'bbyal', # 0xa0
'bbyalg', # 0xa1
'bbyalm', # 0xa2
'bbyalb', # 0xa3
'bbyals', # 0xa4
'bbyalt', # 0xa5
'bbyalp', # 0xa6
'bbyalh', # 0xa7
'bbyam', # 0xa8
'bbyab', # 0xa9
'bbyabs', # 0xaa
'bbyas', # 0xab
'bbyass', # 0xac
'bbyang', # 0xad
'bbyaj', # 0xae
'bbyac', # 0xaf
'bbyak', # 0xb0
'bbyat', # 0xb1
'bbyap', # 0xb2
'bbyah', # 0xb3
'bbyae', # 0xb4
'bbyaeg', # 0xb5
'bbyaegg', # 0xb6
'bbyaegs', # 0xb7
'bbyaen', # 0xb8
'bbyaenj', # 0xb9
'bbyaenh', # 0xba
'bbyaed', # 0xbb
'bbyael', # 0xbc
'bbyaelg', # 0xbd
'bbyaelm', # 0xbe
'bbyaelb', # 0xbf
'bbyaels', # 0xc0
'bbyaelt', # 0xc1
'bbyaelp', # 0xc2
'bbyaelh', # 0xc3
'bbyaem', # 0xc4
'bbyaeb', # 0xc5
'bbyaebs', # 0xc6
'bbyaes', # 0xc7
'bbyaess', # 0xc8
'bbyaeng', # 0xc9
'bbyaej', # 0xca
'bbyaec', # 0xcb
'bbyaek', # 0xcc
'bbyaet', # 0xcd
'bbyaep', # 0xce
'bbyaeh', # 0xcf
'bbeo', # 0xd0
'bbeog', # 0xd1
'bbeogg', # 0xd2
'bbeogs', # 0xd3
'bbeon', # 0xd4
'bbeonj', # 0xd5
'bbeonh', # 0xd6
'bbeod', # 0xd7
'bbeol', # 0xd8
'bbeolg', # 0xd9
'bbeolm', # 0xda
'bbeolb', # 0xdb
'bbeols', # 0xdc
'bbeolt', # 0xdd
'bbeolp', # 0xde
'bbeolh', # 0xdf
'bbeom', # 0xe0
'bbeob', # 0xe1
'bbeobs', # 0xe2
'bbeos', # 0xe3
'bbeoss', # 0xe4
'bbeong', # 0xe5
'bbeoj', # 0xe6
'bbeoc', # 0xe7
'bbeok', # 0xe8
'bbeot', # 0xe9
'bbeop', # 0xea
'bbeoh', # 0xeb
'bbe', # 0xec
'bbeg', # 0xed
'bbegg', # 0xee
'bbegs', # 0xef
'bben', # 0xf0
'bbenj', # 0xf1
'bbenh', # 0xf2
'bbed', # 0xf3
'bbel', # 0xf4
'bbelg', # 0xf5
'bbelm', # 0xf6
'bbelb', # 0xf7
'bbels', # 0xf8
'bbelt', # 0xf9
'bbelp', # 0xfa
'bbelh', # 0xfb
'bbem', # 0xfc
'bbeb', # 0xfd
'bbebs', # 0xfe
'bbes', # 0xff
)
x0bf = (
'bbess', # 0x00
'bbeng', # 0x01
'bbej', # 0x02
'bbec', # 0x03
'bbek', # 0x04
'bbet', # 0x05
'bbep', # 0x06
'bbeh', # 0x07
'bbyeo', # 0x08
'bbyeog', # 0x09
'bbyeogg', # 0x0a
'bbyeogs', # 0x0b
'bbyeon', # 0x0c
'bbyeonj', # 0x0d
'bbyeonh', # 0x0e
'bbyeod', # 0x0f
'bbyeol', # 0x10
'bbyeolg', # 0x11
'bbyeolm', # 0x12
'bbyeolb', # 0x13
'bbyeols', # 0x14
'bbyeolt', # 0x15
'bbyeolp', # 0x16
'bbyeolh', # 0x17
'bbyeom', # 0x18
'bbyeob', # 0x19
'bbyeobs', # 0x1a
'bbyeos', # 0x1b
'bbyeoss', # 0x1c
'bbyeong', # 0x1d
'bbyeoj', # 0x1e
'bbyeoc', # 0x1f
'bbyeok', # 0x20
'bbyeot', # 0x21
'bbyeop', # 0x22
'bbyeoh', # 0x23
'bbye', # 0x24
'bbyeg', # 0x25
'bbyegg', # 0x26
'bbyegs', # 0x27
'bbyen', # 0x28
'bbyenj', # 0x29
'bbyenh', # 0x2a
'bbyed', # 0x2b
'bbyel', # 0x2c
'bbyelg', # 0x2d
'bbyelm', # 0x2e
'bbyelb', # 0x2f
'bbyels', # 0x30
'bbyelt', # 0x31
'bbyelp', # 0x32
'bbyelh', # 0x33
'bbyem', # 0x34
'bbyeb', # 0x35
'bbyebs', # 0x36
'bbyes', # 0x37
'bbyess', # 0x38
'bbyeng', # 0x39
'bbyej', # 0x3a
'bbyec', # 0x3b
'bbyek', # 0x3c
'bbyet', # 0x3d
'bbyep', # 0x3e
'bbyeh', # 0x3f
'bbo', # 0x40
'bbog', # 0x41
'bbogg', # 0x42
'bbogs', # 0x43
'bbon', # 0x44
'bbonj', # 0x45
'bbonh', # 0x46
'bbod', # 0x47
'bbol', # 0x48
'bbolg', # 0x49
'bbolm', # 0x4a
'bbolb', # 0x4b
'bbols', # 0x4c
'bbolt', # 0x4d
'bbolp', # 0x4e
'bbolh', # 0x4f
'bbom', # 0x50
'bbob', # 0x51
'bbobs', # 0x52
'bbos', # 0x53
'bboss', # 0x54
'bbong', # 0x55
'bboj', # 0x56
'bboc', # 0x57
'bbok', # 0x58
'bbot', # 0x59
'bbop', # 0x5a
'bboh', # 0x5b
'bbwa', # 0x5c
'bbwag', # 0x5d
'bbwagg', # 0x5e
'bbwags', # 0x5f
'bbwan', # 0x60
'bbwanj', # 0x61
'bbwanh', # 0x62
'bbwad', # 0x63
'bbwal', # 0x64
'bbwalg', # 0x65
'bbwalm', # 0x66
'bbwalb', # 0x67
'bbwals', # 0x68
'bbwalt', # 0x69
'bbwalp', # 0x6a
'bbwalh', # 0x6b
'bbwam', # 0x6c
'bbwab', # 0x6d
'bbwabs', # 0x6e
'bbwas', # 0x6f
'bbwass', # 0x70
'bbwang', # 0x71
'bbwaj', # 0x72
'bbwac', # 0x73
'bbwak', # 0x74
'bbwat', # 0x75
'bbwap', # 0x76
'bbwah', # 0x77
'bbwae', # 0x78
'bbwaeg', # 0x79
'bbwaegg', # 0x7a
'bbwaegs', # 0x7b
'bbwaen', # 0x7c
'bbwaenj', # 0x7d
'bbwaenh', # 0x7e
'bbwaed', # 0x7f
'bbwael', # 0x80
'bbwaelg', # 0x81
'bbwaelm', # 0x82
'bbwaelb', # 0x83
'bbwaels', # 0x84
'bbwaelt', # 0x85
'bbwaelp', # 0x86
'bbwaelh', # 0x87
'bbwaem', # 0x88
'bbwaeb', # 0x89
'bbwaebs', # 0x8a
'bbwaes', # 0x8b
'bbwaess', # 0x8c
'bbwaeng', # 0x8d
'bbwaej', # 0x8e
'bbwaec', # 0x8f
'bbwaek', # 0x90
'bbwaet', # 0x91
'bbwaep', # 0x92
'bbwaeh', # 0x93
'bboe', # 0x94
'bboeg', # 0x95
'bboegg', # 0x96
'bboegs', # 0x97
'bboen', # 0x98
'bboenj', # 0x99
'bboenh', # 0x9a
'bboed', # 0x9b
'bboel', # 0x9c
'bboelg', # 0x9d
'bboelm', # 0x9e
'bboelb', # 0x9f
'bboels', # 0xa0
'bboelt', # 0xa1
'bboelp', # 0xa2
'bboelh', # 0xa3
'bboem', # 0xa4
'bboeb', # 0xa5
'bboebs', # 0xa6
'bboes', # 0xa7
'bboess', # 0xa8
'bboeng', # 0xa9
'bboej', # 0xaa
'bboec', # 0xab
'bboek', # 0xac
'bboet', # 0xad
'bboep', # 0xae
'bboeh', # 0xaf
'bbyo', # 0xb0
'bbyog', # 0xb1
'bbyogg', # 0xb2
'bbyogs', # 0xb3
'bbyon', # 0xb4
'bbyonj', # 0xb5
'bbyonh', # 0xb6
'bbyod', # 0xb7
'bbyol', # 0xb8
'bbyolg', # 0xb9
'bbyolm', # 0xba
'bbyolb', # 0xbb
'bbyols', # 0xbc
'bbyolt', # 0xbd
'bbyolp', # 0xbe
'bbyolh', # 0xbf
'bbyom', # 0xc0
'bbyob', # 0xc1
'bbyobs', # 0xc2
'bbyos', # 0xc3
'bbyoss', # 0xc4
'bbyong', # 0xc5
'bbyoj', # 0xc6
'bbyoc', # 0xc7
'bbyok', # 0xc8
'bbyot', # 0xc9
'bbyop', # 0xca
'bbyoh', # 0xcb
'bbu', # 0xcc
'bbug', # 0xcd
'bbugg', # 0xce
'bbugs', # 0xcf
'bbun', # 0xd0
'bbunj', # 0xd1
'bbunh', # 0xd2
'bbud', # 0xd3
'bbul', # 0xd4
'bbulg', # 0xd5
'bbulm', # 0xd6
'bbulb', # 0xd7
'bbuls', # 0xd8
'bbult', # 0xd9
'bbulp', # 0xda
'bbulh', # 0xdb
'bbum', # 0xdc
'bbub', # 0xdd
'bbubs', # 0xde
'bbus', # 0xdf
'bbuss', # 0xe0
'bbung', # 0xe1
'bbuj', # 0xe2
'bbuc', # 0xe3
'bbuk', # 0xe4
'bbut', # 0xe5
'bbup', # 0xe6
'bbuh', # 0xe7
'bbweo', # 0xe8
'bbweog', # 0xe9
'bbweogg', # 0xea
'bbweogs', # 0xeb
'bbweon', # 0xec
'bbweonj', # 0xed
'bbweonh', # 0xee
'bbweod', # 0xef
'bbweol', # 0xf0
'bbweolg', # 0xf1
'bbweolm', # 0xf2
'bbweolb', # 0xf3
'bbweols', # 0xf4
'bbweolt', # 0xf5
'bbweolp', # 0xf6
'bbweolh', # 0xf7
'bbweom', # 0xf8
'bbweob', # 0xf9
'bbweobs', # 0xfa
'bbweos', # 0xfb
'bbweoss', # 0xfc
'bbweong', # 0xfd
'bbweoj', # 0xfe
'bbweoc', # 0xff
)
x0c0 = (
'bbweok', # 0x00
'bbweot', # 0x01
'bbweop', # 0x02
'bbweoh', # 0x03
'bbwe', # 0x04
'bbweg', # 0x05
'bbwegg', # 0x06
'bbwegs', # 0x07
'bbwen', # 0x08
'bbwenj', # 0x09
'bbwenh', # 0x0a
'bbwed', # 0x0b
'bbwel', # 0x0c
'bbwelg', # 0x0d
'bbwelm', # 0x0e
'bbwelb', # 0x0f
'bbwels', # 0x10
'bbwelt', # 0x11
'bbwelp', # 0x12
'bbwelh', # 0x13
'bbwem', # 0x14
'bbweb', # 0x15
'bbwebs', # 0x16
'bbwes', # 0x17
'bbwess', # 0x18
'bbweng', # 0x19
'bbwej', # 0x1a
'bbwec', # 0x1b
'bbwek', # 0x1c
'bbwet', # 0x1d
'bbwep', # 0x1e
'bbweh', # 0x1f
'bbwi', # 0x20
'bbwig', # 0x21
'bbwigg', # 0x22
'bbwigs', # 0x23
'bbwin', # 0x24
'bbwinj', # 0x25
'bbwinh', # 0x26
'bbwid', # 0x27
'bbwil', # 0x28
'bbwilg', # 0x29
'bbwilm', # 0x2a
'bbwilb', # 0x2b
'bbwils', # 0x2c
'bbwilt', # 0x2d
'bbwilp', # 0x2e
'bbwilh', # 0x2f
'bbwim', # 0x30
'bbwib', # 0x31
'bbwibs', # 0x32
'bbwis', # 0x33
'bbwiss', # 0x34
'bbwing', # 0x35
'bbwij', # 0x36
'bbwic', # 0x37
'bbwik', # 0x38
'bbwit', # 0x39
'bbwip', # 0x3a
'bbwih', # 0x3b
'bbyu', # 0x3c
'bbyug', # 0x3d
'bbyugg', # 0x3e
'bbyugs', # 0x3f
'bbyun', # 0x40
'bbyunj', # 0x41
'bbyunh', # 0x42
'bbyud', # 0x43
'bbyul', # 0x44
'bbyulg', # 0x45
'bbyulm', # 0x46
'bbyulb', # 0x47
'bbyuls', # 0x48
'bbyult', # 0x49
'bbyulp', # 0x4a
'bbyulh', # 0x4b
'bbyum', # 0x4c
'bbyub', # 0x4d
'bbyubs', # 0x4e
'bbyus', # 0x4f
'bbyuss', # 0x50
'bbyung', # 0x51
'bbyuj', # 0x52
'bbyuc', # 0x53
'bbyuk', # 0x54
'bbyut', # 0x55
'bbyup', # 0x56
'bbyuh', # 0x57
'bbeu', # 0x58
'bbeug', # 0x59
'bbeugg', # 0x5a
'bbeugs', # 0x5b
'bbeun', # 0x5c
'bbeunj', # 0x5d
'bbeunh', # 0x5e
'bbeud', # 0x5f
'bbeul', # 0x60
'bbeulg', # 0x61
'bbeulm', # 0x62
'bbeulb', # 0x63
'bbeuls', # 0x64
'bbeult', # 0x65
'bbeulp', # 0x66
'bbeulh', # 0x67
'bbeum', # 0x68
'bbeub', # 0x69
'bbeubs', # 0x6a
'bbeus', # 0x6b
'bbeuss', # 0x6c
'bbeung', # 0x6d
'bbeuj', # 0x6e
'bbeuc', # 0x6f
'bbeuk', # 0x70
'bbeut', # 0x71
'bbeup', # 0x72
'bbeuh', # 0x73
'bbyi', # 0x74
'bbyig', # 0x75
'bbyigg', # 0x76
'bbyigs', # 0x77
'bbyin', # 0x78
'bbyinj', # 0x79
'bbyinh', # 0x7a
'bbyid', # 0x7b
'bbyil', # 0x7c
'bbyilg', # 0x7d
'bbyilm', # 0x7e
'bbyilb', # 0x7f
'bbyils', # 0x80
'bbyilt', # 0x81
'bbyilp', # 0x82
'bbyilh', # 0x83
'bbyim', # 0x84
'bbyib', # 0x85
'bbyibs', # 0x86
'bbyis', # 0x87
'bbyiss', # 0x88
'bbying', # 0x89
'bbyij', # 0x8a
'bbyic', # 0x8b
'bbyik', # 0x8c
'bbyit', # 0x8d
'bbyip', # 0x8e
'bbyih', # 0x8f
'bbi', # 0x90
'bbig', # 0x91
'bbigg', # 0x92
'bbigs', # 0x93
'bbin', # 0x94
'bbinj', # 0x95
'bbinh', # 0x96
'bbid', # 0x97
'bbil', # 0x98
'bbilg', # 0x99
'bbilm', # 0x9a
'bbilb', # 0x9b
'bbils', # 0x9c
'bbilt', # 0x9d
'bbilp', # 0x9e
'bbilh', # 0x9f
'bbim', # 0xa0
'bbib', # 0xa1
'bbibs', # 0xa2
'bbis', # 0xa3
'bbiss', # 0xa4
'bbing', # 0xa5
'bbij', # 0xa6
'bbic', # 0xa7
'bbik', # 0xa8
'bbit', # 0xa9
'bbip', # 0xaa
'bbih', # 0xab
'sa', # 0xac
'sag', # 0xad
'sagg', # 0xae
'sags', # 0xaf
'san', # 0xb0
'sanj', # 0xb1
'sanh', # 0xb2
'sad', # 0xb3
'sal', # 0xb4
'salg', # 0xb5
'salm', # 0xb6
'salb', # 0xb7
'sals', # 0xb8
'salt', # 0xb9
'salp', # 0xba
'salh', # 0xbb
'sam', # 0xbc
'sab', # 0xbd
'sabs', # 0xbe
'sas', # 0xbf
'sass', # 0xc0
'sang', # 0xc1
'saj', # 0xc2
'sac', # 0xc3
'sak', # 0xc4
'sat', # 0xc5
'sap', # 0xc6
'sah', # 0xc7
'sae', # 0xc8
'saeg', # 0xc9
'saegg', # 0xca
'saegs', # 0xcb
'saen', # 0xcc
'saenj', # 0xcd
'saenh', # 0xce
'saed', # 0xcf
'sael', # 0xd0
'saelg', # 0xd1
'saelm', # 0xd2
'saelb', # 0xd3
'saels', # 0xd4
'saelt', # 0xd5
'saelp', # 0xd6
'saelh', # 0xd7
'saem', # 0xd8
'saeb', # 0xd9
'saebs', # 0xda
'saes', # 0xdb
'saess', # 0xdc
'saeng', # 0xdd
'saej', # 0xde
'saec', # 0xdf
'saek', # 0xe0
'saet', # 0xe1
'saep', # 0xe2
'saeh', # 0xe3
'sya', # 0xe4
'syag', # 0xe5
'syagg', # 0xe6
'syags', # 0xe7
'syan', # 0xe8
'syanj', # 0xe9
'syanh', # 0xea
'syad', # 0xeb
'syal', # 0xec
'syalg', # 0xed
'syalm', # 0xee
'syalb', # 0xef
'syals', # 0xf0
'syalt', # 0xf1
'syalp', # 0xf2
'syalh', # 0xf3
'syam', # 0xf4
'syab', # 0xf5
'syabs', # 0xf6
'syas', # 0xf7
'syass', # 0xf8
'syang', # 0xf9
'syaj', # 0xfa
'syac', # 0xfb
'syak', # 0xfc
'syat', # 0xfd
'syap', # 0xfe
'syah', # 0xff
)
x0c1 = (
'syae', # 0x00
'syaeg', # 0x01
'syaegg', # 0x02
'syaegs', # 0x03
'syaen', # 0x04
'syaenj', # 0x05
'syaenh', # 0x06
'syaed', # 0x07
'syael', # 0x08
'syaelg', # 0x09
'syaelm', # 0x0a
'syaelb', # 0x0b
'syaels', # 0x0c
'syaelt', # 0x0d
'syaelp', # 0x0e
'syaelh', # 0x0f
'syaem', # 0x10
'syaeb', # 0x11
'syaebs', # 0x12
'syaes', # 0x13
'syaess', # 0x14
'syaeng', # 0x15
'syaej', # 0x16
'syaec', # 0x17
'syaek', # 0x18
'syaet', # 0x19
'syaep', # 0x1a
'syaeh', # 0x1b
'seo', # 0x1c
'seog', # 0x1d
'seogg', # 0x1e
'seogs', # 0x1f
'seon', # 0x20
'seonj', # 0x21
'seonh', # 0x22
'seod', # 0x23
'seol', # 0x24
'seolg', # 0x25
'seolm', # 0x26
'seolb', # 0x27
'seols', # 0x28
'seolt', # 0x29
'seolp', # 0x2a
'seolh', # 0x2b
'seom', # 0x2c
'seob', # 0x2d
'seobs', # 0x2e
'seos', # 0x2f
'seoss', # 0x30
'seong', # 0x31
'seoj', # 0x32
'seoc', # 0x33
'seok', # 0x34
'seot', # 0x35
'seop', # 0x36
'seoh', # 0x37
'se', # 0x38
'seg', # 0x39
'segg', # 0x3a
'segs', # 0x3b
'sen', # 0x3c
'senj', # 0x3d
'senh', # 0x3e
'sed', # 0x3f
'sel', # 0x40
'selg', # 0x41
'selm', # 0x42
'selb', # 0x43
'sels', # 0x44
'selt', # 0x45
'selp', # 0x46
'selh', # 0x47
'sem', # 0x48
'seb', # 0x49
'sebs', # 0x4a
'ses', # 0x4b
'sess', # 0x4c
'seng', # 0x4d
'sej', # 0x4e
'sec', # 0x4f
'sek', # 0x50
'set', # 0x51
'sep', # 0x52
'seh', # 0x53
'syeo', # 0x54
'syeog', # 0x55
'syeogg', # 0x56
'syeogs', # 0x57
'syeon', # 0x58
'syeonj', # 0x59
'syeonh', # 0x5a
'syeod', # 0x5b
'syeol', # 0x5c
'syeolg', # 0x5d
'syeolm', # 0x5e
'syeolb', # 0x5f
'syeols', # 0x60
'syeolt', # 0x61
'syeolp', # 0x62
'syeolh', # 0x63
'syeom', # 0x64
'syeob', # 0x65
'syeobs', # 0x66
'syeos', # 0x67
'syeoss', # 0x68
'syeong', # 0x69
'syeoj', # 0x6a
'syeoc', # 0x6b
'syeok', # 0x6c
'syeot', # 0x6d
'syeop', # 0x6e
'syeoh', # 0x6f
'sye', # 0x70
'syeg', # 0x71
'syegg', # 0x72
'syegs', # 0x73
'syen', # 0x74
'syenj', # 0x75
'syenh', # 0x76
'syed', # 0x77
'syel', # 0x78
'syelg', # 0x79
'syelm', # 0x7a
'syelb', # 0x7b
'syels', # 0x7c
'syelt', # 0x7d
'syelp', # 0x7e
'syelh', # 0x7f
'syem', # 0x80
'syeb', # 0x81
'syebs', # 0x82
'syes', # 0x83
'syess', # 0x84
'syeng', # 0x85
'syej', # 0x86
'syec', # 0x87
'syek', # 0x88
'syet', # 0x89
'syep', # 0x8a
'syeh', # 0x8b
'so', # 0x8c
'sog', # 0x8d
'sogg', # 0x8e
'sogs', # 0x8f
'son', # 0x90
'sonj', # 0x91
'sonh', # 0x92
'sod', # 0x93
'sol', # 0x94
'solg', # 0x95
'solm', # 0x96
'solb', # 0x97
'sols', # 0x98
'solt', # 0x99
'solp', # 0x9a
'solh', # 0x9b
'som', # 0x9c
'sob', # 0x9d
'sobs', # 0x9e
'sos', # 0x9f
'soss', # 0xa0
'song', # 0xa1
'soj', # 0xa2
'soc', # 0xa3
'sok', # 0xa4
'sot', # 0xa5
'sop', # 0xa6
'soh', # 0xa7
'swa', # 0xa8
'swag', # 0xa9
'swagg', # 0xaa
'swags', # 0xab
'swan', # 0xac
'swanj', # 0xad
'swanh', # 0xae
'swad', # 0xaf
'swal', # 0xb0
'swalg', # 0xb1
'swalm', # 0xb2
'swalb', # 0xb3
'swals', # 0xb4
'swalt', # 0xb5
'swalp', # 0xb6
'swalh', # 0xb7
'swam', # 0xb8
'swab', # 0xb9
'swabs', # 0xba
'swas', # 0xbb
'swass', # 0xbc
'swang', # 0xbd
'swaj', # 0xbe
'swac', # 0xbf
'swak', # 0xc0
'swat', # 0xc1
'swap', # 0xc2
'swah', # 0xc3
'swae', # 0xc4
'swaeg', # 0xc5
'swaegg', # 0xc6
'swaegs', # 0xc7
'swaen', # 0xc8
'swaenj', # 0xc9
'swaenh', # 0xca
'swaed', # 0xcb
'swael', # 0xcc
'swaelg', # 0xcd
'swaelm', # 0xce
'swaelb', # 0xcf
'swaels', # 0xd0
'swaelt', # 0xd1
'swaelp', # 0xd2
'swaelh', # 0xd3
'swaem', # 0xd4
'swaeb', # 0xd5
'swaebs', # 0xd6
'swaes', # 0xd7
'swaess', # 0xd8
'swaeng', # 0xd9
'swaej', # 0xda
'swaec', # 0xdb
'swaek', # 0xdc
'swaet', # 0xdd
'swaep', # 0xde
'swaeh', # 0xdf
'soe', # 0xe0
'soeg', # 0xe1
'soegg', # 0xe2
'soegs', # 0xe3
'soen', # 0xe4
'soenj', # 0xe5
'soenh', # 0xe6
'soed', # 0xe7
'soel', # 0xe8
'soelg', # 0xe9
'soelm', # 0xea
'soelb', # 0xeb
'soels', # 0xec
'soelt', # 0xed
'soelp', # 0xee
'soelh', # 0xef
'soem', # 0xf0
'soeb', # 0xf1
'soebs', # 0xf2
'soes', # 0xf3
'soess', # 0xf4
'soeng', # 0xf5
'soej', # 0xf6
'soec', # 0xf7
'soek', # 0xf8
'soet', # 0xf9
'soep', # 0xfa
'soeh', # 0xfb
'syo', # 0xfc
'syog', # 0xfd
'syogg', # 0xfe
'syogs', # 0xff
)
x0c2 = (
'syon', # 0x00
'syonj', # 0x01
'syonh', # 0x02
'syod', # 0x03
'syol', # 0x04
'syolg', # 0x05
'syolm', # 0x06
'syolb', # 0x07
'syols', # 0x08
'syolt', # 0x09
'syolp', # 0x0a
'syolh', # 0x0b
'syom', # 0x0c
'syob', # 0x0d
'syobs', # 0x0e
'syos', # 0x0f
'syoss', # 0x10
'syong', # 0x11
'syoj', # 0x12
'syoc', # 0x13
'syok', # 0x14
'syot', # 0x15
'syop', # 0x16
'syoh', # 0x17
'su', # 0x18
'sug', # 0x19
'sugg', # 0x1a
'sugs', # 0x1b
'sun', # 0x1c
'sunj', # 0x1d
'sunh', # 0x1e
'sud', # 0x1f
'sul', # 0x20
'sulg', # 0x21
'sulm', # 0x22
'sulb', # 0x23
'suls', # 0x24
'sult', # 0x25
'sulp', # 0x26
'sulh', # 0x27
'sum', # 0x28
'sub', # 0x29
'subs', # 0x2a
'sus', # 0x2b
'suss', # 0x2c
'sung', # 0x2d
'suj', # 0x2e
'suc', # 0x2f
'suk', # 0x30
'sut', # 0x31
'sup', # 0x32
'suh', # 0x33
'sweo', # 0x34
'sweog', # 0x35
'sweogg', # 0x36
'sweogs', # 0x37
'sweon', # 0x38
'sweonj', # 0x39
'sweonh', # 0x3a
'sweod', # 0x3b
'sweol', # 0x3c
'sweolg', # 0x3d
'sweolm', # 0x3e
'sweolb', # 0x3f
'sweols', # 0x40
'sweolt', # 0x41
'sweolp', # 0x42
'sweolh', # 0x43
'sweom', # 0x44
'sweob', # 0x45
'sweobs', # 0x46
'sweos', # 0x47
'sweoss', # 0x48
'sweong', # 0x49
'sweoj', # 0x4a
'sweoc', # 0x4b
'sweok', # 0x4c
'sweot', # 0x4d
'sweop', # 0x4e
'sweoh', # 0x4f
'swe', # 0x50
'sweg', # 0x51
'swegg', # 0x52
'swegs', # 0x53
'swen', # 0x54
'swenj', # 0x55
'swenh', # 0x56
'swed', # 0x57
'swel', # 0x58
'swelg', # 0x59
'swelm', # 0x5a
'swelb', # 0x5b
'swels', # 0x5c
'swelt', # 0x5d
'swelp', # 0x5e
'swelh', # 0x5f
'swem', # 0x60
'sweb', # 0x61
'swebs', # 0x62
'swes', # 0x63
'swess', # 0x64
'sweng', # 0x65
'swej', # 0x66
'swec', # 0x67
'swek', # 0x68
'swet', # 0x69
'swep', # 0x6a
'sweh', # 0x6b
'swi', # 0x6c
'swig', # 0x6d
'swigg', # 0x6e
'swigs', # 0x6f
'swin', # 0x70
'swinj', # 0x71
'swinh', # 0x72
'swid', # 0x73
'swil', # 0x74
'swilg', # 0x75
'swilm', # 0x76
'swilb', # 0x77
'swils', # 0x78
'swilt', # 0x79
'swilp', # 0x7a
'swilh', # 0x7b
'swim', # 0x7c
'swib', # 0x7d
'swibs', # 0x7e
'swis', # 0x7f
'swiss', # 0x80
'swing', # 0x81
'swij', # 0x82
'swic', # 0x83
'swik', # 0x84
'swit', # 0x85
'swip', # 0x86
'swih', # 0x87
'syu', # 0x88
'syug', # 0x89
'syugg', # 0x8a
'syugs', # 0x8b
'syun', # 0x8c
'syunj', # 0x8d
'syunh', # 0x8e
'syud', # 0x8f
'syul', # 0x90
'syulg', # 0x91
'syulm', # 0x92
'syulb', # 0x93
'syuls', # 0x94
'syult', # 0x95
'syulp', # 0x96
'syulh', # 0x97
'syum', # 0x98
'syub', # 0x99
'syubs', # 0x9a
'syus', # 0x9b
'syuss', # 0x9c
'syung', # 0x9d
'syuj', # 0x9e
'syuc', # 0x9f
'syuk', # 0xa0
'syut', # 0xa1
'syup', # 0xa2
'syuh', # 0xa3
'seu', # 0xa4
'seug', # 0xa5
'seugg', # 0xa6
'seugs', # 0xa7
'seun', # 0xa8
'seunj', # 0xa9
'seunh', # 0xaa
'seud', # 0xab
'seul', # 0xac
'seulg', # 0xad
'seulm', # 0xae
'seulb', # 0xaf
'seuls', # 0xb0
'seult', # 0xb1
'seulp', # 0xb2
'seulh', # 0xb3
'seum', # 0xb4
'seub', # 0xb5
'seubs', # 0xb6
'seus', # 0xb7
'seuss', # 0xb8
'seung', # 0xb9
'seuj', # 0xba
'seuc', # 0xbb
'seuk', # 0xbc
'seut', # 0xbd
'seup', # 0xbe
'seuh', # 0xbf
'syi', # 0xc0
'syig', # 0xc1
'syigg', # 0xc2
'syigs', # 0xc3
'syin', # 0xc4
'syinj', # 0xc5
'syinh', # 0xc6
'syid', # 0xc7
'syil', # 0xc8
'syilg', # 0xc9
'syilm', # 0xca
'syilb', # 0xcb
'syils', # 0xcc
'syilt', # 0xcd
'syilp', # 0xce
'syilh', # 0xcf
'syim', # 0xd0
'syib', # 0xd1
'syibs', # 0xd2
'syis', # 0xd3
'syiss', # 0xd4
'sying', # 0xd5
'syij', # 0xd6
'syic', # 0xd7
'syik', # 0xd8
'syit', # 0xd9
'syip', # 0xda
'syih', # 0xdb
'si', # 0xdc
'sig', # 0xdd
'sigg', # 0xde
'sigs', # 0xdf
'sin', # 0xe0
'sinj', # 0xe1
'sinh', # 0xe2
'sid', # 0xe3
'sil', # 0xe4
'silg', # 0xe5
'silm', # 0xe6
'silb', # 0xe7
'sils', # 0xe8
'silt', # 0xe9
'silp', # 0xea
'silh', # 0xeb
'sim', # 0xec
'sib', # 0xed
'sibs', # 0xee
'sis', # 0xef
'siss', # 0xf0
'sing', # 0xf1
'sij', # 0xf2
'sic', # 0xf3
'sik', # 0xf4
'sit', # 0xf5
'sip', # 0xf6
'sih', # 0xf7
'ssa', # 0xf8
'ssag', # 0xf9
'ssagg', # 0xfa
'ssags', # 0xfb
'ssan', # 0xfc
'ssanj', # 0xfd
'ssanh', # 0xfe
'ssad', # 0xff
)
x0c3 = (
'ssal', # 0x00
'ssalg', # 0x01
'ssalm', # 0x02
'ssalb', # 0x03
'ssals', # 0x04
'ssalt', # 0x05
'ssalp', # 0x06
'ssalh', # 0x07
'ssam', # 0x08
'ssab', # 0x09
'ssabs', # 0x0a
'ssas', # 0x0b
'ssass', # 0x0c
'ssang', # 0x0d
'ssaj', # 0x0e
'ssac', # 0x0f
'ssak', # 0x10
'ssat', # 0x11
'ssap', # 0x12
'ssah', # 0x13
'ssae', # 0x14
'ssaeg', # 0x15
'ssaegg', # 0x16
'ssaegs', # 0x17
'ssaen', # 0x18
'ssaenj', # 0x19
'ssaenh', # 0x1a
'ssaed', # 0x1b
'ssael', # 0x1c
'ssaelg', # 0x1d
'ssaelm', # 0x1e
'ssaelb', # 0x1f
'ssaels', # 0x20
'ssaelt', # 0x21
'ssaelp', # 0x22
'ssaelh', # 0x23
'ssaem', # 0x24
'ssaeb', # 0x25
'ssaebs', # 0x26
'ssaes', # 0x27
'ssaess', # 0x28
'ssaeng', # 0x29
'ssaej', # 0x2a
'ssaec', # 0x2b
'ssaek', # 0x2c
'ssaet', # 0x2d
'ssaep', # 0x2e
'ssaeh', # 0x2f
'ssya', # 0x30
'ssyag', # 0x31
'ssyagg', # 0x32
'ssyags', # 0x33
'ssyan', # 0x34
'ssyanj', # 0x35
'ssyanh', # 0x36
'ssyad', # 0x37
'ssyal', # 0x38
'ssyalg', # 0x39
'ssyalm', # 0x3a
'ssyalb', # 0x3b
'ssyals', # 0x3c
'ssyalt', # 0x3d
'ssyalp', # 0x3e
'ssyalh', # 0x3f
'ssyam', # 0x40
'ssyab', # 0x41
'ssyabs', # 0x42
'ssyas', # 0x43
'ssyass', # 0x44
'ssyang', # 0x45
'ssyaj', # 0x46
'ssyac', # 0x47
'ssyak', # 0x48
'ssyat', # 0x49
'ssyap', # 0x4a
'ssyah', # 0x4b
'ssyae', # 0x4c
'ssyaeg', # 0x4d
'ssyaegg', # 0x4e
'ssyaegs', # 0x4f
'ssyaen', # 0x50
'ssyaenj', # 0x51
'ssyaenh', # 0x52
'ssyaed', # 0x53
'ssyael', # 0x54
'ssyaelg', # 0x55
'ssyaelm', # 0x56
'ssyaelb', # 0x57
'ssyaels', # 0x58
'ssyaelt', # 0x59
'ssyaelp', # 0x5a
'ssyaelh', # 0x5b
'ssyaem', # 0x5c
'ssyaeb', # 0x5d
'ssyaebs', # 0x5e
'ssyaes', # 0x5f
'ssyaess', # 0x60
'ssyaeng', # 0x61
'ssyaej', # 0x62
'ssyaec', # 0x63
'ssyaek', # 0x64
'ssyaet', # 0x65
'ssyaep', # 0x66
'ssyaeh', # 0x67
'sseo', # 0x68
'sseog', # 0x69
'sseogg', # 0x6a
'sseogs', # 0x6b
'sseon', # 0x6c
'sseonj', # 0x6d
'sseonh', # 0x6e
'sseod', # 0x6f
'sseol', # 0x70
'sseolg', # 0x71
'sseolm', # 0x72
'sseolb', # 0x73
'sseols', # 0x74
'sseolt', # 0x75
'sseolp', # 0x76
'sseolh', # 0x77
'sseom', # 0x78
'sseob', # 0x79
'sseobs', # 0x7a
'sseos', # 0x7b
'sseoss', # 0x7c
'sseong', # 0x7d
'sseoj', # 0x7e
'sseoc', # 0x7f
'sseok', # 0x80
'sseot', # 0x81
'sseop', # 0x82
'sseoh', # 0x83
'sse', # 0x84
'sseg', # 0x85
'ssegg', # 0x86
'ssegs', # 0x87
'ssen', # 0x88
'ssenj', # 0x89
'ssenh', # 0x8a
'ssed', # 0x8b
'ssel', # 0x8c
'sselg', # 0x8d
'sselm', # 0x8e
'sselb', # 0x8f
'ssels', # 0x90
'sselt', # 0x91
'sselp', # 0x92
'sselh', # 0x93
'ssem', # 0x94
'sseb', # 0x95
'ssebs', # 0x96
'sses', # 0x97
'ssess', # 0x98
'sseng', # 0x99
'ssej', # 0x9a
'ssec', # 0x9b
'ssek', # 0x9c
'sset', # 0x9d
'ssep', # 0x9e
'sseh', # 0x9f
'ssyeo', # 0xa0
'ssyeog', # 0xa1
'ssyeogg', # 0xa2
'ssyeogs', # 0xa3
'ssyeon', # 0xa4
'ssyeonj', # 0xa5
'ssyeonh', # 0xa6
'ssyeod', # 0xa7
'ssyeol', # 0xa8
'ssyeolg', # 0xa9
'ssyeolm', # 0xaa
'ssyeolb', # 0xab
'ssyeols', # 0xac
'ssyeolt', # 0xad
'ssyeolp', # 0xae
'ssyeolh', # 0xaf
'ssyeom', # 0xb0
'ssyeob', # 0xb1
'ssyeobs', # 0xb2
'ssyeos', # 0xb3
'ssyeoss', # 0xb4
'ssyeong', # 0xb5
'ssyeoj', # 0xb6
'ssyeoc', # 0xb7
'ssyeok', # 0xb8
'ssyeot', # 0xb9
'ssyeop', # 0xba
'ssyeoh', # 0xbb
'ssye', # 0xbc
'ssyeg', # 0xbd
'ssyegg', # 0xbe
'ssyegs', # 0xbf
'ssyen', # 0xc0
'ssyenj', # 0xc1
'ssyenh', # 0xc2
'ssyed', # 0xc3
'ssyel', # 0xc4
'ssyelg', # 0xc5
'ssyelm', # 0xc6
'ssyelb', # 0xc7
'ssyels', # 0xc8
'ssyelt', # 0xc9
'ssyelp', # 0xca
'ssyelh', # 0xcb
'ssyem', # 0xcc
'ssyeb', # 0xcd
'ssyebs', # 0xce
'ssyes', # 0xcf
'ssyess', # 0xd0
'ssyeng', # 0xd1
'ssyej', # 0xd2
'ssyec', # 0xd3
'ssyek', # 0xd4
'ssyet', # 0xd5
'ssyep', # 0xd6
'ssyeh', # 0xd7
'sso', # 0xd8
'ssog', # 0xd9
'ssogg', # 0xda
'ssogs', # 0xdb
'sson', # 0xdc
'ssonj', # 0xdd
'ssonh', # 0xde
'ssod', # 0xdf
'ssol', # 0xe0
'ssolg', # 0xe1
'ssolm', # 0xe2
'ssolb', # 0xe3
'ssols', # 0xe4
'ssolt', # 0xe5
'ssolp', # 0xe6
'ssolh', # 0xe7
'ssom', # 0xe8
'ssob', # 0xe9
'ssobs', # 0xea
'ssos', # 0xeb
'ssoss', # 0xec
'ssong', # 0xed
'ssoj', # 0xee
'ssoc', # 0xef
'ssok', # 0xf0
'ssot', # 0xf1
'ssop', # 0xf2
'ssoh', # 0xf3
'sswa', # 0xf4
'sswag', # 0xf5
'sswagg', # 0xf6
'sswags', # 0xf7
'sswan', # 0xf8
'sswanj', # 0xf9
'sswanh', # 0xfa
'sswad', # 0xfb
'sswal', # 0xfc
'sswalg', # 0xfd
'sswalm', # 0xfe
'sswalb', # 0xff
)
x0c4 = (
'sswals', # 0x00
'sswalt', # 0x01
'sswalp', # 0x02
'sswalh', # 0x03
'sswam', # 0x04
'sswab', # 0x05
'sswabs', # 0x06
'sswas', # 0x07
'sswass', # 0x08
'sswang', # 0x09
'sswaj', # 0x0a
'sswac', # 0x0b
'sswak', # 0x0c
'sswat', # 0x0d
'sswap', # 0x0e
'sswah', # 0x0f
'sswae', # 0x10
'sswaeg', # 0x11
'sswaegg', # 0x12
'sswaegs', # 0x13
'sswaen', # 0x14
'sswaenj', # 0x15
'sswaenh', # 0x16
'sswaed', # 0x17
'sswael', # 0x18
'sswaelg', # 0x19
'sswaelm', # 0x1a
'sswaelb', # 0x1b
'sswaels', # 0x1c
'sswaelt', # 0x1d
'sswaelp', # 0x1e
'sswaelh', # 0x1f
'sswaem', # 0x20
'sswaeb', # 0x21
'sswaebs', # 0x22
'sswaes', # 0x23
'sswaess', # 0x24
'sswaeng', # 0x25
'sswaej', # 0x26
'sswaec', # 0x27
'sswaek', # 0x28
'sswaet', # 0x29
'sswaep', # 0x2a
'sswaeh', # 0x2b
'ssoe', # 0x2c
'ssoeg', # 0x2d
'ssoegg', # 0x2e
'ssoegs', # 0x2f
'ssoen', # 0x30
'ssoenj', # 0x31
'ssoenh', # 0x32
'ssoed', # 0x33
'ssoel', # 0x34
'ssoelg', # 0x35
'ssoelm', # 0x36
'ssoelb', # 0x37
'ssoels', # 0x38
'ssoelt', # 0x39
'ssoelp', # 0x3a
'ssoelh', # 0x3b
'ssoem', # 0x3c
'ssoeb', # 0x3d
'ssoebs', # 0x3e
'ssoes', # 0x3f
'ssoess', # 0x40
'ssoeng', # 0x41
'ssoej', # 0x42
'ssoec', # 0x43
'ssoek', # 0x44
'ssoet', # 0x45
'ssoep', # 0x46
'ssoeh', # 0x47
'ssyo', # 0x48
'ssyog', # 0x49
'ssyogg', # 0x4a
'ssyogs', # 0x4b
'ssyon', # 0x4c
'ssyonj', # 0x4d
'ssyonh', # 0x4e
'ssyod', # 0x4f
'ssyol', # 0x50
'ssyolg', # 0x51
'ssyolm', # 0x52
'ssyolb', # 0x53
'ssyols', # 0x54
'ssyolt', # 0x55
'ssyolp', # 0x56
'ssyolh', # 0x57
'ssyom', # 0x58
'ssyob', # 0x59
'ssyobs', # 0x5a
'ssyos', # 0x5b
'ssyoss', # 0x5c
'ssyong', # 0x5d
'ssyoj', # 0x5e
'ssyoc', # 0x5f
'ssyok', # 0x60
'ssyot', # 0x61
'ssyop', # 0x62
'ssyoh', # 0x63
'ssu', # 0x64
'ssug', # 0x65
'ssugg', # 0x66
'ssugs', # 0x67
'ssun', # 0x68
'ssunj', # 0x69
'ssunh', # 0x6a
'ssud', # 0x6b
'ssul', # 0x6c
'ssulg', # 0x6d
'ssulm', # 0x6e
'ssulb', # 0x6f
'ssuls', # 0x70
'ssult', # 0x71
'ssulp', # 0x72
'ssulh', # 0x73
'ssum', # 0x74
'ssub', # 0x75
'ssubs', # 0x76
'ssus', # 0x77
'ssuss', # 0x78
'ssung', # 0x79
'ssuj', # 0x7a
'ssuc', # 0x7b
'ssuk', # 0x7c
'ssut', # 0x7d
'ssup', # 0x7e
'ssuh', # 0x7f
'ssweo', # 0x80
'ssweog', # 0x81
'ssweogg', # 0x82
'ssweogs', # 0x83
'ssweon', # 0x84
'ssweonj', # 0x85
'ssweonh', # 0x86
'ssweod', # 0x87
'ssweol', # 0x88
'ssweolg', # 0x89
'ssweolm', # 0x8a
'ssweolb', # 0x8b
'ssweols', # 0x8c
'ssweolt', # 0x8d
'ssweolp', # 0x8e
'ssweolh', # 0x8f
'ssweom', # 0x90
'ssweob', # 0x91
'ssweobs', # 0x92
'ssweos', # 0x93
'ssweoss', # 0x94
'ssweong', # 0x95
'ssweoj', # 0x96
'ssweoc', # 0x97
'ssweok', # 0x98
'ssweot', # 0x99
'ssweop', # 0x9a
'ssweoh', # 0x9b
'sswe', # 0x9c
'ssweg', # 0x9d
'sswegg', # 0x9e
'sswegs', # 0x9f
'sswen', # 0xa0
'sswenj', # 0xa1
'sswenh', # 0xa2
'sswed', # 0xa3
'sswel', # 0xa4
'sswelg', # 0xa5
'sswelm', # 0xa6
'sswelb', # 0xa7
'sswels', # 0xa8
'sswelt', # 0xa9
'sswelp', # 0xaa
'sswelh', # 0xab
'sswem', # 0xac
'ssweb', # 0xad
'sswebs', # 0xae
'sswes', # 0xaf
'sswess', # 0xb0
'ssweng', # 0xb1
'sswej', # 0xb2
'sswec', # 0xb3
'sswek', # 0xb4
'sswet', # 0xb5
'sswep', # 0xb6
'ssweh', # 0xb7
'sswi', # 0xb8
'sswig', # 0xb9
'sswigg', # 0xba
'sswigs', # 0xbb
'sswin', # 0xbc
'sswinj', # 0xbd
'sswinh', # 0xbe
'sswid', # 0xbf
'sswil', # 0xc0
'sswilg', # 0xc1
'sswilm', # 0xc2
'sswilb', # 0xc3
'sswils', # 0xc4
'sswilt', # 0xc5
'sswilp', # 0xc6
'sswilh', # 0xc7
'sswim', # 0xc8
'sswib', # 0xc9
'sswibs', # 0xca
'sswis', # 0xcb
'sswiss', # 0xcc
'sswing', # 0xcd
'sswij', # 0xce
'sswic', # 0xcf
'sswik', # 0xd0
'sswit', # 0xd1
'sswip', # 0xd2
'sswih', # 0xd3
'ssyu', # 0xd4
'ssyug', # 0xd5
'ssyugg', # 0xd6
'ssyugs', # 0xd7
'ssyun', # 0xd8
'ssyunj', # 0xd9
'ssyunh', # 0xda
'ssyud', # 0xdb
'ssyul', # 0xdc
'ssyulg', # 0xdd
'ssyulm', # 0xde
'ssyulb', # 0xdf
'ssyuls', # 0xe0
'ssyult', # 0xe1
'ssyulp', # 0xe2
'ssyulh', # 0xe3
'ssyum', # 0xe4
'ssyub', # 0xe5
'ssyubs', # 0xe6
'ssyus', # 0xe7
'ssyuss', # 0xe8
'ssyung', # 0xe9
'ssyuj', # 0xea
'ssyuc', # 0xeb
'ssyuk', # 0xec
'ssyut', # 0xed
'ssyup', # 0xee
'ssyuh', # 0xef
'sseu', # 0xf0
'sseug', # 0xf1
'sseugg', # 0xf2
'sseugs', # 0xf3
'sseun', # 0xf4
'sseunj', # 0xf5
'sseunh', # 0xf6
'sseud', # 0xf7
'sseul', # 0xf8
'sseulg', # 0xf9
'sseulm', # 0xfa
'sseulb', # 0xfb
'sseuls', # 0xfc
'sseult', # 0xfd
'sseulp', # 0xfe
'sseulh', # 0xff
)
x0c5 = (
'sseum', # 0x00
'sseub', # 0x01
'sseubs', # 0x02
'sseus', # 0x03
'sseuss', # 0x04
'sseung', # 0x05
'sseuj', # 0x06
'sseuc', # 0x07
'sseuk', # 0x08
'sseut', # 0x09
'sseup', # 0x0a
'sseuh', # 0x0b
'ssyi', # 0x0c
'ssyig', # 0x0d
'ssyigg', # 0x0e
'ssyigs', # 0x0f
'ssyin', # 0x10
'ssyinj', # 0x11
'ssyinh', # 0x12
'ssyid', # 0x13
'ssyil', # 0x14
'ssyilg', # 0x15
'ssyilm', # 0x16
'ssyilb', # 0x17
'ssyils', # 0x18
'ssyilt', # 0x19
'ssyilp', # 0x1a
'ssyilh', # 0x1b
'ssyim', # 0x1c
'ssyib', # 0x1d
'ssyibs', # 0x1e
'ssyis', # 0x1f
'ssyiss', # 0x20
'ssying', # 0x21
'ssyij', # 0x22
'ssyic', # 0x23
'ssyik', # 0x24
'ssyit', # 0x25
'ssyip', # 0x26
'ssyih', # 0x27
'ssi', # 0x28
'ssig', # 0x29
'ssigg', # 0x2a
'ssigs', # 0x2b
'ssin', # 0x2c
'ssinj', # 0x2d
'ssinh', # 0x2e
'ssid', # 0x2f
'ssil', # 0x30
'ssilg', # 0x31
'ssilm', # 0x32
'ssilb', # 0x33
'ssils', # 0x34
'ssilt', # 0x35
'ssilp', # 0x36
'ssilh', # 0x37
'ssim', # 0x38
'ssib', # 0x39
'ssibs', # 0x3a
'ssis', # 0x3b
'ssiss', # 0x3c
'ssing', # 0x3d
'ssij', # 0x3e
'ssic', # 0x3f
'ssik', # 0x40
'ssit', # 0x41
'ssip', # 0x42
'ssih', # 0x43
'a', # 0x44
'ag', # 0x45
'agg', # 0x46
'ags', # 0x47
'an', # 0x48
'anj', # 0x49
'anh', # 0x4a
'ad', # 0x4b
'al', # 0x4c
'alg', # 0x4d
'alm', # 0x4e
'alb', # 0x4f
'als', # 0x50
'alt', # 0x51
'alp', # 0x52
'alh', # 0x53
'am', # 0x54
'ab', # 0x55
'abs', # 0x56
'as', # 0x57
'ass', # 0x58
'ang', # 0x59
'aj', # 0x5a
'ac', # 0x5b
'ak', # 0x5c
'at', # 0x5d
'ap', # 0x5e
'ah', # 0x5f
'ae', # 0x60
'aeg', # 0x61
'aegg', # 0x62
'aegs', # 0x63
'aen', # 0x64
'aenj', # 0x65
'aenh', # 0x66
'aed', # 0x67
'ael', # 0x68
'aelg', # 0x69
'aelm', # 0x6a
'aelb', # 0x6b
'aels', # 0x6c
'aelt', # 0x6d
'aelp', # 0x6e
'aelh', # 0x6f
'aem', # 0x70
'aeb', # 0x71
'aebs', # 0x72
'aes', # 0x73
'aess', # 0x74
'aeng', # 0x75
'aej', # 0x76
'aec', # 0x77
'aek', # 0x78
'aet', # 0x79
'aep', # 0x7a
'aeh', # 0x7b
'ya', # 0x7c
'yag', # 0x7d
'yagg', # 0x7e
'yags', # 0x7f
'yan', # 0x80
'yanj', # 0x81
'yanh', # 0x82
'yad', # 0x83
'yal', # 0x84
'yalg', # 0x85
'yalm', # 0x86
'yalb', # 0x87
'yals', # 0x88
'yalt', # 0x89
'yalp', # 0x8a
'yalh', # 0x8b
'yam', # 0x8c
'yab', # 0x8d
'yabs', # 0x8e
'yas', # 0x8f
'yass', # 0x90
'yang', # 0x91
'yaj', # 0x92
'yac', # 0x93
'yak', # 0x94
'yat', # 0x95
'yap', # 0x96
'yah', # 0x97
'yae', # 0x98
'yaeg', # 0x99
'yaegg', # 0x9a
'yaegs', # 0x9b
'yaen', # 0x9c
'yaenj', # 0x9d
'yaenh', # 0x9e
'yaed', # 0x9f
'yael', # 0xa0
'yaelg', # 0xa1
'yaelm', # 0xa2
'yaelb', # 0xa3
'yaels', # 0xa4
'yaelt', # 0xa5
'yaelp', # 0xa6
'yaelh', # 0xa7
'yaem', # 0xa8
'yaeb', # 0xa9
'yaebs', # 0xaa
'yaes', # 0xab
'yaess', # 0xac
'yaeng', # 0xad
'yaej', # 0xae
'yaec', # 0xaf
'yaek', # 0xb0
'yaet', # 0xb1
'yaep', # 0xb2
'yaeh', # 0xb3
'eo', # 0xb4
'eog', # 0xb5
'eogg', # 0xb6
'eogs', # 0xb7
'eon', # 0xb8
'eonj', # 0xb9
'eonh', # 0xba
'eod', # 0xbb
'eol', # 0xbc
'eolg', # 0xbd
'eolm', # 0xbe
'eolb', # 0xbf
'eols', # 0xc0
'eolt', # 0xc1
'eolp', # 0xc2
'eolh', # 0xc3
'eom', # 0xc4
'eob', # 0xc5
'eobs', # 0xc6
'eos', # 0xc7
'eoss', # 0xc8
'eong', # 0xc9
'eoj', # 0xca
'eoc', # 0xcb
'eok', # 0xcc
'eot', # 0xcd
'eop', # 0xce
'eoh', # 0xcf
'e', # 0xd0
'eg', # 0xd1
'egg', # 0xd2
'egs', # 0xd3
'en', # 0xd4
'enj', # 0xd5
'enh', # 0xd6
'ed', # 0xd7
'el', # 0xd8
'elg', # 0xd9
'elm', # 0xda
'elb', # 0xdb
'els', # 0xdc
'elt', # 0xdd
'elp', # 0xde
'elh', # 0xdf
'em', # 0xe0
'eb', # 0xe1
'ebs', # 0xe2
'es', # 0xe3
'ess', # 0xe4
'eng', # 0xe5
'ej', # 0xe6
'ec', # 0xe7
'ek', # 0xe8
'et', # 0xe9
'ep', # 0xea
'eh', # 0xeb
'yeo', # 0xec
'yeog', # 0xed
'yeogg', # 0xee
'yeogs', # 0xef
'yeon', # 0xf0
'yeonj', # 0xf1
'yeonh', # 0xf2
'yeod', # 0xf3
'yeol', # 0xf4
'yeolg', # 0xf5
'yeolm', # 0xf6
'yeolb', # 0xf7
'yeols', # 0xf8
'yeolt', # 0xf9
'yeolp', # 0xfa
'yeolh', # 0xfb
'yeom', # 0xfc
'yeob', # 0xfd
'yeobs', # 0xfe
'yeos', # 0xff
)
x0c6 = (
'yeoss', # 0x00
'yeong', # 0x01
'yeoj', # 0x02
'yeoc', # 0x03
'yeok', # 0x04
'yeot', # 0x05
'yeop', # 0x06
'yeoh', # 0x07
'ye', # 0x08
'yeg', # 0x09
'yegg', # 0x0a
'yegs', # 0x0b
'yen', # 0x0c
'yenj', # 0x0d
'yenh', # 0x0e
'yed', # 0x0f
'yel', # 0x10
'yelg', # 0x11
'yelm', # 0x12
'yelb', # 0x13
'yels', # 0x14
'yelt', # 0x15
'yelp', # 0x16
'yelh', # 0x17
'yem', # 0x18
'yeb', # 0x19
'yebs', # 0x1a
'yes', # 0x1b
'yess', # 0x1c
'yeng', # 0x1d
'yej', # 0x1e
'yec', # 0x1f
'yek', # 0x20
'yet', # 0x21
'yep', # 0x22
'yeh', # 0x23
'o', # 0x24
'og', # 0x25
'ogg', # 0x26
'ogs', # 0x27
'on', # 0x28
'onj', # 0x29
'onh', # 0x2a
'od', # 0x2b
'ol', # 0x2c
'olg', # 0x2d
'olm', # 0x2e
'olb', # 0x2f
'ols', # 0x30
'olt', # 0x31
'olp', # 0x32
'olh', # 0x33
'om', # 0x34
'ob', # 0x35
'obs', # 0x36
'os', # 0x37
'oss', # 0x38
'ong', # 0x39
'oj', # 0x3a
'oc', # 0x3b
'ok', # 0x3c
'ot', # 0x3d
'op', # 0x3e
'oh', # 0x3f
'wa', # 0x40
'wag', # 0x41
'wagg', # 0x42
'wags', # 0x43
'wan', # 0x44
'wanj', # 0x45
'wanh', # 0x46
'wad', # 0x47
'wal', # 0x48
'walg', # 0x49
'walm', # 0x4a
'walb', # 0x4b
'wals', # 0x4c
'walt', # 0x4d
'walp', # 0x4e
'walh', # 0x4f
'wam', # 0x50
'wab', # 0x51
'wabs', # 0x52
'was', # 0x53
'wass', # 0x54
'wang', # 0x55
'waj', # 0x56
'wac', # 0x57
'wak', # 0x58
'wat', # 0x59
'wap', # 0x5a
'wah', # 0x5b
'wae', # 0x5c
'waeg', # 0x5d
'waegg', # 0x5e
'waegs', # 0x5f
'waen', # 0x60
'waenj', # 0x61
'waenh', # 0x62
'waed', # 0x63
'wael', # 0x64
'waelg', # 0x65
'waelm', # 0x66
'waelb', # 0x67
'waels', # 0x68
'waelt', # 0x69
'waelp', # 0x6a
'waelh', # 0x6b
'waem', # 0x6c
'waeb', # 0x6d
'waebs', # 0x6e
'waes', # 0x6f
'waess', # 0x70
'waeng', # 0x71
'waej', # 0x72
'waec', # 0x73
'waek', # 0x74
'waet', # 0x75
'waep', # 0x76
'waeh', # 0x77
'oe', # 0x78
'oeg', # 0x79
'oegg', # 0x7a
'oegs', # 0x7b
'oen', # 0x7c
'oenj', # 0x7d
'oenh', # 0x7e
'oed', # 0x7f
'oel', # 0x80
'oelg', # 0x81
'oelm', # 0x82
'oelb', # 0x83
'oels', # 0x84
'oelt', # 0x85
'oelp', # 0x86
'oelh', # 0x87
'oem', # 0x88
'oeb', # 0x89
'oebs', # 0x8a
'oes', # 0x8b
'oess', # 0x8c
'oeng', # 0x8d
'oej', # 0x8e
'oec', # 0x8f
'oek', # 0x90
'oet', # 0x91
'oep', # 0x92
'oeh', # 0x93
'yo', # 0x94
'yog', # 0x95
'yogg', # 0x96
'yogs', # 0x97
'yon', # 0x98
'yonj', # 0x99
'yonh', # 0x9a
'yod', # 0x9b
'yol', # 0x9c
'yolg', # 0x9d
'yolm', # 0x9e
'yolb', # 0x9f
'yols', # 0xa0
'yolt', # 0xa1
'yolp', # 0xa2
'yolh', # 0xa3
'yom', # 0xa4
'yob', # 0xa5
'yobs', # 0xa6
'yos', # 0xa7
'yoss', # 0xa8
'yong', # 0xa9
'yoj', # 0xaa
'yoc', # 0xab
'yok', # 0xac
'yot', # 0xad
'yop', # 0xae
'yoh', # 0xaf
'u', # 0xb0
'ug', # 0xb1
'ugg', # 0xb2
'ugs', # 0xb3
'un', # 0xb4
'unj', # 0xb5
'unh', # 0xb6
'ud', # 0xb7
'ul', # 0xb8
'ulg', # 0xb9
'ulm', # 0xba
'ulb', # 0xbb
'uls', # 0xbc
'ult', # 0xbd
'ulp', # 0xbe
'ulh', # 0xbf
'um', # 0xc0
'ub', # 0xc1
'ubs', # 0xc2
'us', # 0xc3
'uss', # 0xc4
'ung', # 0xc5
'uj', # 0xc6
'uc', # 0xc7
'uk', # 0xc8
'ut', # 0xc9
'up', # 0xca
'uh', # 0xcb
'weo', # 0xcc
'weog', # 0xcd
'weogg', # 0xce
'weogs', # 0xcf
'weon', # 0xd0
'weonj', # 0xd1
'weonh', # 0xd2
'weod', # 0xd3
'weol', # 0xd4
'weolg', # 0xd5
'weolm', # 0xd6
'weolb', # 0xd7
'weols', # 0xd8
'weolt', # 0xd9
'weolp', # 0xda
'weolh', # 0xdb
'weom', # 0xdc
'weob', # 0xdd
'weobs', # 0xde
'weos', # 0xdf
'weoss', # 0xe0
'weong', # 0xe1
'weoj', # 0xe2
'weoc', # 0xe3
'weok', # 0xe4
'weot', # 0xe5
'weop', # 0xe6
'weoh', # 0xe7
'we', # 0xe8
'weg', # 0xe9
'wegg', # 0xea
'wegs', # 0xeb
'wen', # 0xec
'wenj', # 0xed
'wenh', # 0xee
'wed', # 0xef
'wel', # 0xf0
'welg', # 0xf1
'welm', # 0xf2
'welb', # 0xf3
'wels', # 0xf4
'welt', # 0xf5
'welp', # 0xf6
'welh', # 0xf7
'wem', # 0xf8
'web', # 0xf9
'webs', # 0xfa
'wes', # 0xfb
'wess', # 0xfc
'weng', # 0xfd
'wej', # 0xfe
'wec', # 0xff
)
x0c7 = (
'wek', # 0x00
'wet', # 0x01
'wep', # 0x02
'weh', # 0x03
'wi', # 0x04
'wig', # 0x05
'wigg', # 0x06
'wigs', # 0x07
'win', # 0x08
'winj', # 0x09
'winh', # 0x0a
'wid', # 0x0b
'wil', # 0x0c
'wilg', # 0x0d
'wilm', # 0x0e
'wilb', # 0x0f
'wils', # 0x10
'wilt', # 0x11
'wilp', # 0x12
'wilh', # 0x13
'wim', # 0x14
'wib', # 0x15
'wibs', # 0x16
'wis', # 0x17
'wiss', # 0x18
'wing', # 0x19
'wij', # 0x1a
'wic', # 0x1b
'wik', # 0x1c
'wit', # 0x1d
'wip', # 0x1e
'wih', # 0x1f
'yu', # 0x20
'yug', # 0x21
'yugg', # 0x22
'yugs', # 0x23
'yun', # 0x24
'yunj', # 0x25
'yunh', # 0x26
'yud', # 0x27
'yul', # 0x28
'yulg', # 0x29
'yulm', # 0x2a
'yulb', # 0x2b
'yuls', # 0x2c
'yult', # 0x2d
'yulp', # 0x2e
'yulh', # 0x2f
'yum', # 0x30
'yub', # 0x31
'yubs', # 0x32
'yus', # 0x33
'yuss', # 0x34
'yung', # 0x35
'yuj', # 0x36
'yuc', # 0x37
'yuk', # 0x38
'yut', # 0x39
'yup', # 0x3a
'yuh', # 0x3b
'eu', # 0x3c
'eug', # 0x3d
'eugg', # 0x3e
'eugs', # 0x3f
'eun', # 0x40
'eunj', # 0x41
'eunh', # 0x42
'eud', # 0x43
'eul', # 0x44
'eulg', # 0x45
'eulm', # 0x46
'eulb', # 0x47
'euls', # 0x48
'eult', # 0x49
'eulp', # 0x4a
'eulh', # 0x4b
'eum', # 0x4c
'eub', # 0x4d
'eubs', # 0x4e
'eus', # 0x4f
'euss', # 0x50
'eung', # 0x51
'euj', # 0x52
'euc', # 0x53
'euk', # 0x54
'eut', # 0x55
'eup', # 0x56
'euh', # 0x57
'yi', # 0x58
'yig', # 0x59
'yigg', # 0x5a
'yigs', # 0x5b
'yin', # 0x5c
'yinj', # 0x5d
'yinh', # 0x5e
'yid', # 0x5f
'yil', # 0x60
'yilg', # 0x61
'yilm', # 0x62
'yilb', # 0x63
'yils', # 0x64
'yilt', # 0x65
'yilp', # 0x66
'yilh', # 0x67
'yim', # 0x68
'yib', # 0x69
'yibs', # 0x6a
'yis', # 0x6b
'yiss', # 0x6c
'ying', # 0x6d
'yij', # 0x6e
'yic', # 0x6f
'yik', # 0x70
'yit', # 0x71
'yip', # 0x72
'yih', # 0x73
'i', # 0x74
'ig', # 0x75
'igg', # 0x76
'igs', # 0x77
'in', # 0x78
'inj', # 0x79
'inh', # 0x7a
'id', # 0x7b
'il', # 0x7c
'ilg', # 0x7d
'ilm', # 0x7e
'ilb', # 0x7f
'ils', # 0x80
'ilt', # 0x81
'ilp', # 0x82
'ilh', # 0x83
'im', # 0x84
'ib', # 0x85
'ibs', # 0x86
'is', # 0x87
'iss', # 0x88
'ing', # 0x89
'ij', # 0x8a
'ic', # 0x8b
'ik', # 0x8c
'it', # 0x8d
'ip', # 0x8e
'ih', # 0x8f
'ja', # 0x90
'jag', # 0x91
'jagg', # 0x92
'jags', # 0x93
'jan', # 0x94
'janj', # 0x95
'janh', # 0x96
'jad', # 0x97
'jal', # 0x98
'jalg', # 0x99
'jalm', # 0x9a
'jalb', # 0x9b
'jals', # 0x9c
'jalt', # 0x9d
'jalp', # 0x9e
'jalh', # 0x9f
'jam', # 0xa0
'jab', # 0xa1
'jabs', # 0xa2
'jas', # 0xa3
'jass', # 0xa4
'jang', # 0xa5
'jaj', # 0xa6
'jac', # 0xa7
'jak', # 0xa8
'jat', # 0xa9
'jap', # 0xaa
'jah', # 0xab
'jae', # 0xac
'jaeg', # 0xad
'jaegg', # 0xae
'jaegs', # 0xaf
'jaen', # 0xb0
'jaenj', # 0xb1
'jaenh', # 0xb2
'jaed', # 0xb3
'jael', # 0xb4
'jaelg', # 0xb5
'jaelm', # 0xb6
'jaelb', # 0xb7
'jaels', # 0xb8
'jaelt', # 0xb9
'jaelp', # 0xba
'jaelh', # 0xbb
'jaem', # 0xbc
'jaeb', # 0xbd
'jaebs', # 0xbe
'jaes', # 0xbf
'jaess', # 0xc0
'jaeng', # 0xc1
'jaej', # 0xc2
'jaec', # 0xc3
'jaek', # 0xc4
'jaet', # 0xc5
'jaep', # 0xc6
'jaeh', # 0xc7
'jya', # 0xc8
'jyag', # 0xc9
'jyagg', # 0xca
'jyags', # 0xcb
'jyan', # 0xcc
'jyanj', # 0xcd
'jyanh', # 0xce
'jyad', # 0xcf
'jyal', # 0xd0
'jyalg', # 0xd1
'jyalm', # 0xd2
'jyalb', # 0xd3
'jyals', # 0xd4
'jyalt', # 0xd5
'jyalp', # 0xd6
'jyalh', # 0xd7
'jyam', # 0xd8
'jyab', # 0xd9
'jyabs', # 0xda
'jyas', # 0xdb
'jyass', # 0xdc
'jyang', # 0xdd
'jyaj', # 0xde
'jyac', # 0xdf
'jyak', # 0xe0
'jyat', # 0xe1
'jyap', # 0xe2
'jyah', # 0xe3
'jyae', # 0xe4
'jyaeg', # 0xe5
'jyaegg', # 0xe6
'jyaegs', # 0xe7
'jyaen', # 0xe8
'jyaenj', # 0xe9
'jyaenh', # 0xea
'jyaed', # 0xeb
'jyael', # 0xec
'jyaelg', # 0xed
'jyaelm', # 0xee
'jyaelb', # 0xef
'jyaels', # 0xf0
'jyaelt', # 0xf1
'jyaelp', # 0xf2
'jyaelh', # 0xf3
'jyaem', # 0xf4
'jyaeb', # 0xf5
'jyaebs', # 0xf6
'jyaes', # 0xf7
'jyaess', # 0xf8
'jyaeng', # 0xf9
'jyaej', # 0xfa
'jyaec', # 0xfb
'jyaek', # 0xfc
'jyaet', # 0xfd
'jyaep', # 0xfe
'jyaeh', # 0xff
)
x0c8 = (
'jeo', # 0x00
'jeog', # 0x01
'jeogg', # 0x02
'jeogs', # 0x03
'jeon', # 0x04
'jeonj', # 0x05
'jeonh', # 0x06
'jeod', # 0x07
'jeol', # 0x08
'jeolg', # 0x09
'jeolm', # 0x0a
'jeolb', # 0x0b
'jeols', # 0x0c
'jeolt', # 0x0d
'jeolp', # 0x0e
'jeolh', # 0x0f
'jeom', # 0x10
'jeob', # 0x11
'jeobs', # 0x12
'jeos', # 0x13
'jeoss', # 0x14
'jeong', # 0x15
'jeoj', # 0x16
'jeoc', # 0x17
'jeok', # 0x18
'jeot', # 0x19
'jeop', # 0x1a
'jeoh', # 0x1b
'je', # 0x1c
'jeg', # 0x1d
'jegg', # 0x1e
'jegs', # 0x1f
'jen', # 0x20
'jenj', # 0x21
'jenh', # 0x22
'jed', # 0x23
'jel', # 0x24
'jelg', # 0x25
'jelm', # 0x26
'jelb', # 0x27
'jels', # 0x28
'jelt', # 0x29
'jelp', # 0x2a
'jelh', # 0x2b
'jem', # 0x2c
'jeb', # 0x2d
'jebs', # 0x2e
'jes', # 0x2f
'jess', # 0x30
'jeng', # 0x31
'jej', # 0x32
'jec', # 0x33
'jek', # 0x34
'jet', # 0x35
'jep', # 0x36
'jeh', # 0x37
'jyeo', # 0x38
'jyeog', # 0x39
'jyeogg', # 0x3a
'jyeogs', # 0x3b
'jyeon', # 0x3c
'jyeonj', # 0x3d
'jyeonh', # 0x3e
'jyeod', # 0x3f
'jyeol', # 0x40
'jyeolg', # 0x41
'jyeolm', # 0x42
'jyeolb', # 0x43
'jyeols', # 0x44
'jyeolt', # 0x45
'jyeolp', # 0x46
'jyeolh', # 0x47
'jyeom', # 0x48
'jyeob', # 0x49
'jyeobs', # 0x4a
'jyeos', # 0x4b
'jyeoss', # 0x4c
'jyeong', # 0x4d
'jyeoj', # 0x4e
'jyeoc', # 0x4f
'jyeok', # 0x50
'jyeot', # 0x51
'jyeop', # 0x52
'jyeoh', # 0x53
'jye', # 0x54
'jyeg', # 0x55
'jyegg', # 0x56
'jyegs', # 0x57
'jyen', # 0x58
'jyenj', # 0x59
'jyenh', # 0x5a
'jyed', # 0x5b
'jyel', # 0x5c
'jyelg', # 0x5d
'jyelm', # 0x5e
'jyelb', # 0x5f
'jyels', # 0x60
'jyelt', # 0x61
'jyelp', # 0x62
'jyelh', # 0x63
'jyem', # 0x64
'jyeb', # 0x65
'jyebs', # 0x66
'jyes', # 0x67
'jyess', # 0x68
'jyeng', # 0x69
'jyej', # 0x6a
'jyec', # 0x6b
'jyek', # 0x6c
'jyet', # 0x6d
'jyep', # 0x6e
'jyeh', # 0x6f
'jo', # 0x70
'jog', # 0x71
'jogg', # 0x72
'jogs', # 0x73
'jon', # 0x74
'jonj', # 0x75
'jonh', # 0x76
'jod', # 0x77
'jol', # 0x78
'jolg', # 0x79
'jolm', # 0x7a
'jolb', # 0x7b
'jols', # 0x7c
'jolt', # 0x7d
'jolp', # 0x7e
'jolh', # 0x7f
'jom', # 0x80
'job', # 0x81
'jobs', # 0x82
'jos', # 0x83
'joss', # 0x84
'jong', # 0x85
'joj', # 0x86
'joc', # 0x87
'jok', # 0x88
'jot', # 0x89
'jop', # 0x8a
'joh', # 0x8b
'jwa', # 0x8c
'jwag', # 0x8d
'jwagg', # 0x8e
'jwags', # 0x8f
'jwan', # 0x90
'jwanj', # 0x91
'jwanh', # 0x92
'jwad', # 0x93
'jwal', # 0x94
'jwalg', # 0x95
'jwalm', # 0x96
'jwalb', # 0x97
'jwals', # 0x98
'jwalt', # 0x99
'jwalp', # 0x9a
'jwalh', # 0x9b
'jwam', # 0x9c
'jwab', # 0x9d
'jwabs', # 0x9e
'jwas', # 0x9f
'jwass', # 0xa0
'jwang', # 0xa1
'jwaj', # 0xa2
'jwac', # 0xa3
'jwak', # 0xa4
'jwat', # 0xa5
'jwap', # 0xa6
'jwah', # 0xa7
'jwae', # 0xa8
'jwaeg', # 0xa9
'jwaegg', # 0xaa
'jwaegs', # 0xab
'jwaen', # 0xac
'jwaenj', # 0xad
'jwaenh', # 0xae
'jwaed', # 0xaf
'jwael', # 0xb0
'jwaelg', # 0xb1
'jwaelm', # 0xb2
'jwaelb', # 0xb3
'jwaels', # 0xb4
'jwaelt', # 0xb5
'jwaelp', # 0xb6
'jwaelh', # 0xb7
'jwaem', # 0xb8
'jwaeb', # 0xb9
'jwaebs', # 0xba
'jwaes', # 0xbb
'jwaess', # 0xbc
'jwaeng', # 0xbd
'jwaej', # 0xbe
'jwaec', # 0xbf
'jwaek', # 0xc0
'jwaet', # 0xc1
'jwaep', # 0xc2
'jwaeh', # 0xc3
'joe', # 0xc4
'joeg', # 0xc5
'joegg', # 0xc6
'joegs', # 0xc7
'joen', # 0xc8
'joenj', # 0xc9
'joenh', # 0xca
'joed', # 0xcb
'joel', # 0xcc
'joelg', # 0xcd
'joelm', # 0xce
'joelb', # 0xcf
'joels', # 0xd0
'joelt', # 0xd1
'joelp', # 0xd2
'joelh', # 0xd3
'joem', # 0xd4
'joeb', # 0xd5
'joebs', # 0xd6
'joes', # 0xd7
'joess', # 0xd8
'joeng', # 0xd9
'joej', # 0xda
'joec', # 0xdb
'joek', # 0xdc
'joet', # 0xdd
'joep', # 0xde
'joeh', # 0xdf
'jyo', # 0xe0
'jyog', # 0xe1
'jyogg', # 0xe2
'jyogs', # 0xe3
'jyon', # 0xe4
'jyonj', # 0xe5
'jyonh', # 0xe6
'jyod', # 0xe7
'jyol', # 0xe8
'jyolg', # 0xe9
'jyolm', # 0xea
'jyolb', # 0xeb
'jyols', # 0xec
'jyolt', # 0xed
'jyolp', # 0xee
'jyolh', # 0xef
'jyom', # 0xf0
'jyob', # 0xf1
'jyobs', # 0xf2
'jyos', # 0xf3
'jyoss', # 0xf4
'jyong', # 0xf5
'jyoj', # 0xf6
'jyoc', # 0xf7
'jyok', # 0xf8
'jyot', # 0xf9
'jyop', # 0xfa
'jyoh', # 0xfb
'ju', # 0xfc
'jug', # 0xfd
'jugg', # 0xfe
'jugs', # 0xff
)
x0c9 = (
'jun', # 0x00
'junj', # 0x01
'junh', # 0x02
'jud', # 0x03
'jul', # 0x04
'julg', # 0x05
'julm', # 0x06
'julb', # 0x07
'juls', # 0x08
'jult', # 0x09
'julp', # 0x0a
'julh', # 0x0b
'jum', # 0x0c
'jub', # 0x0d
'jubs', # 0x0e
'jus', # 0x0f
'juss', # 0x10
'jung', # 0x11
'juj', # 0x12
'juc', # 0x13
'juk', # 0x14
'jut', # 0x15
'jup', # 0x16
'juh', # 0x17
'jweo', # 0x18
'jweog', # 0x19
'jweogg', # 0x1a
'jweogs', # 0x1b
'jweon', # 0x1c
'jweonj', # 0x1d
'jweonh', # 0x1e
'jweod', # 0x1f
'jweol', # 0x20
'jweolg', # 0x21
'jweolm', # 0x22
'jweolb', # 0x23
'jweols', # 0x24
'jweolt', # 0x25
'jweolp', # 0x26
'jweolh', # 0x27
'jweom', # 0x28
'jweob', # 0x29
'jweobs', # 0x2a
'jweos', # 0x2b
'jweoss', # 0x2c
'jweong', # 0x2d
'jweoj', # 0x2e
'jweoc', # 0x2f
'jweok', # 0x30
'jweot', # 0x31
'jweop', # 0x32
'jweoh', # 0x33
'jwe', # 0x34
'jweg', # 0x35
'jwegg', # 0x36
'jwegs', # 0x37
'jwen', # 0x38
'jwenj', # 0x39
'jwenh', # 0x3a
'jwed', # 0x3b
'jwel', # 0x3c
'jwelg', # 0x3d
'jwelm', # 0x3e
'jwelb', # 0x3f
'jwels', # 0x40
'jwelt', # 0x41
'jwelp', # 0x42
'jwelh', # 0x43
'jwem', # 0x44
'jweb', # 0x45
'jwebs', # 0x46
'jwes', # 0x47
'jwess', # 0x48
'jweng', # 0x49
'jwej', # 0x4a
'jwec', # 0x4b
'jwek', # 0x4c
'jwet', # 0x4d
'jwep', # 0x4e
'jweh', # 0x4f
'jwi', # 0x50
'jwig', # 0x51
'jwigg', # 0x52
'jwigs', # 0x53
'jwin', # 0x54
'jwinj', # 0x55
'jwinh', # 0x56
'jwid', # 0x57
'jwil', # 0x58
'jwilg', # 0x59
'jwilm', # 0x5a
'jwilb', # 0x5b
'jwils', # 0x5c
'jwilt', # 0x5d
'jwilp', # 0x5e
'jwilh', # 0x5f
'jwim', # 0x60
'jwib', # 0x61
'jwibs', # 0x62
'jwis', # 0x63
'jwiss', # 0x64
'jwing', # 0x65
'jwij', # 0x66
'jwic', # 0x67
'jwik', # 0x68
'jwit', # 0x69
'jwip', # 0x6a
'jwih', # 0x6b
'jyu', # 0x6c
'jyug', # 0x6d
'jyugg', # 0x6e
'jyugs', # 0x6f
'jyun', # 0x70
'jyunj', # 0x71
'jyunh', # 0x72
'jyud', # 0x73
'jyul', # 0x74
'jyulg', # 0x75
'jyulm', # 0x76
'jyulb', # 0x77
'jyuls', # 0x78
'jyult', # 0x79
'jyulp', # 0x7a
'jyulh', # 0x7b
'jyum', # 0x7c
'jyub', # 0x7d
'jyubs', # 0x7e
'jyus', # 0x7f
'jyuss', # 0x80
'jyung', # 0x81
'jyuj', # 0x82
'jyuc', # 0x83
'jyuk', # 0x84
'jyut', # 0x85
'jyup', # 0x86
'jyuh', # 0x87
'jeu', # 0x88
'jeug', # 0x89
'jeugg', # 0x8a
'jeugs', # 0x8b
'jeun', # 0x8c
'jeunj', # 0x8d
'jeunh', # 0x8e
'jeud', # 0x8f
'jeul', # 0x90
'jeulg', # 0x91
'jeulm', # 0x92
'jeulb', # 0x93
'jeuls', # 0x94
'jeult', # 0x95
'jeulp', # 0x96
'jeulh', # 0x97
'jeum', # 0x98
'jeub', # 0x99
'jeubs', # 0x9a
'jeus', # 0x9b
'jeuss', # 0x9c
'jeung', # 0x9d
'jeuj', # 0x9e
'jeuc', # 0x9f
'jeuk', # 0xa0
'jeut', # 0xa1
'jeup', # 0xa2
'jeuh', # 0xa3
'jyi', # 0xa4
'jyig', # 0xa5
'jyigg', # 0xa6
'jyigs', # 0xa7
'jyin', # 0xa8
'jyinj', # 0xa9
'jyinh', # 0xaa
'jyid', # 0xab
'jyil', # 0xac
'jyilg', # 0xad
'jyilm', # 0xae
'jyilb', # 0xaf
'jyils', # 0xb0
'jyilt', # 0xb1
'jyilp', # 0xb2
'jyilh', # 0xb3
'jyim', # 0xb4
'jyib', # 0xb5
'jyibs', # 0xb6
'jyis', # 0xb7
'jyiss', # 0xb8
'jying', # 0xb9
'jyij', # 0xba
'jyic', # 0xbb
'jyik', # 0xbc
'jyit', # 0xbd
'jyip', # 0xbe
'jyih', # 0xbf
'ji', # 0xc0
'jig', # 0xc1
'jigg', # 0xc2
'jigs', # 0xc3
'jin', # 0xc4
'jinj', # 0xc5
'jinh', # 0xc6
'jid', # 0xc7
'jil', # 0xc8
'jilg', # 0xc9
'jilm', # 0xca
'jilb', # 0xcb
'jils', # 0xcc
'jilt', # 0xcd
'jilp', # 0xce
'jilh', # 0xcf
'jim', # 0xd0
'jib', # 0xd1
'jibs', # 0xd2
'jis', # 0xd3
'jiss', # 0xd4
'jing', # 0xd5
'jij', # 0xd6
'jic', # 0xd7
'jik', # 0xd8
'jit', # 0xd9
'jip', # 0xda
'jih', # 0xdb
'jja', # 0xdc
'jjag', # 0xdd
'jjagg', # 0xde
'jjags', # 0xdf
'jjan', # 0xe0
'jjanj', # 0xe1
'jjanh', # 0xe2
'jjad', # 0xe3
'jjal', # 0xe4
'jjalg', # 0xe5
'jjalm', # 0xe6
'jjalb', # 0xe7
'jjals', # 0xe8
'jjalt', # 0xe9
'jjalp', # 0xea
'jjalh', # 0xeb
'jjam', # 0xec
'jjab', # 0xed
'jjabs', # 0xee
'jjas', # 0xef
'jjass', # 0xf0
'jjang', # 0xf1
'jjaj', # 0xf2
'jjac', # 0xf3
'jjak', # 0xf4
'jjat', # 0xf5
'jjap', # 0xf6
'jjah', # 0xf7
'jjae', # 0xf8
'jjaeg', # 0xf9
'jjaegg', # 0xfa
'jjaegs', # 0xfb
'jjaen', # 0xfc
'jjaenj', # 0xfd
'jjaenh', # 0xfe
'jjaed', # 0xff
)
x0ca = (
'jjael', # 0x00
'jjaelg', # 0x01
'jjaelm', # 0x02
'jjaelb', # 0x03
'jjaels', # 0x04
'jjaelt', # 0x05
'jjaelp', # 0x06
'jjaelh', # 0x07
'jjaem', # 0x08
'jjaeb', # 0x09
'jjaebs', # 0x0a
'jjaes', # 0x0b
'jjaess', # 0x0c
'jjaeng', # 0x0d
'jjaej', # 0x0e
'jjaec', # 0x0f
'jjaek', # 0x10
'jjaet', # 0x11
'jjaep', # 0x12
'jjaeh', # 0x13
'jjya', # 0x14
'jjyag', # 0x15
'jjyagg', # 0x16
'jjyags', # 0x17
'jjyan', # 0x18
'jjyanj', # 0x19
'jjyanh', # 0x1a
'jjyad', # 0x1b
'jjyal', # 0x1c
'jjyalg', # 0x1d
'jjyalm', # 0x1e
'jjyalb', # 0x1f
'jjyals', # 0x20
'jjyalt', # 0x21
'jjyalp', # 0x22
'jjyalh', # 0x23
'jjyam', # 0x24
'jjyab', # 0x25
'jjyabs', # 0x26
'jjyas', # 0x27
'jjyass', # 0x28
'jjyang', # 0x29
'jjyaj', # 0x2a
'jjyac', # 0x2b
'jjyak', # 0x2c
'jjyat', # 0x2d
'jjyap', # 0x2e
'jjyah', # 0x2f
'jjyae', # 0x30
'jjyaeg', # 0x31
'jjyaegg', # 0x32
'jjyaegs', # 0x33
'jjyaen', # 0x34
'jjyaenj', # 0x35
'jjyaenh', # 0x36
'jjyaed', # 0x37
'jjyael', # 0x38
'jjyaelg', # 0x39
'jjyaelm', # 0x3a
'jjyaelb', # 0x3b
'jjyaels', # 0x3c
'jjyaelt', # 0x3d
'jjyaelp', # 0x3e
'jjyaelh', # 0x3f
'jjyaem', # 0x40
'jjyaeb', # 0x41
'jjyaebs', # 0x42
'jjyaes', # 0x43
'jjyaess', # 0x44
'jjyaeng', # 0x45
'jjyaej', # 0x46
'jjyaec', # 0x47
'jjyaek', # 0x48
'jjyaet', # 0x49
'jjyaep', # 0x4a
'jjyaeh', # 0x4b
'jjeo', # 0x4c
'jjeog', # 0x4d
'jjeogg', # 0x4e
'jjeogs', # 0x4f
'jjeon', # 0x50
'jjeonj', # 0x51
'jjeonh', # 0x52
'jjeod', # 0x53
'jjeol', # 0x54
'jjeolg', # 0x55
'jjeolm', # 0x56
'jjeolb', # 0x57
'jjeols', # 0x58
'jjeolt', # 0x59
'jjeolp', # 0x5a
'jjeolh', # 0x5b
'jjeom', # 0x5c
'jjeob', # 0x5d
'jjeobs', # 0x5e
'jjeos', # 0x5f
'jjeoss', # 0x60
'jjeong', # 0x61
'jjeoj', # 0x62
'jjeoc', # 0x63
'jjeok', # 0x64
'jjeot', # 0x65
'jjeop', # 0x66
'jjeoh', # 0x67
'jje', # 0x68
'jjeg', # 0x69
'jjegg', # 0x6a
'jjegs', # 0x6b
'jjen', # 0x6c
'jjenj', # 0x6d
'jjenh', # 0x6e
'jjed', # 0x6f
'jjel', # 0x70
'jjelg', # 0x71
'jjelm', # 0x72
'jjelb', # 0x73
'jjels', # 0x74
'jjelt', # 0x75
'jjelp', # 0x76
'jjelh', # 0x77
'jjem', # 0x78
'jjeb', # 0x79
'jjebs', # 0x7a
'jjes', # 0x7b
'jjess', # 0x7c
'jjeng', # 0x7d
'jjej', # 0x7e
'jjec', # 0x7f
'jjek', # 0x80
'jjet', # 0x81
'jjep', # 0x82
'jjeh', # 0x83
'jjyeo', # 0x84
'jjyeog', # 0x85
'jjyeogg', # 0x86
'jjyeogs', # 0x87
'jjyeon', # 0x88
'jjyeonj', # 0x89
'jjyeonh', # 0x8a
'jjyeod', # 0x8b
'jjyeol', # 0x8c
'jjyeolg', # 0x8d
'jjyeolm', # 0x8e
'jjyeolb', # 0x8f
'jjyeols', # 0x90
'jjyeolt', # 0x91
'jjyeolp', # 0x92
'jjyeolh', # 0x93
'jjyeom', # 0x94
'jjyeob', # 0x95
'jjyeobs', # 0x96
'jjyeos', # 0x97
'jjyeoss', # 0x98
'jjyeong', # 0x99
'jjyeoj', # 0x9a
'jjyeoc', # 0x9b
'jjyeok', # 0x9c
'jjyeot', # 0x9d
'jjyeop', # 0x9e
'jjyeoh', # 0x9f
'jjye', # 0xa0
'jjyeg', # 0xa1
'jjyegg', # 0xa2
'jjyegs', # 0xa3
'jjyen', # 0xa4
'jjyenj', # 0xa5
'jjyenh', # 0xa6
'jjyed', # 0xa7
'jjyel', # 0xa8
'jjyelg', # 0xa9
'jjyelm', # 0xaa
'jjyelb', # 0xab
'jjyels', # 0xac
'jjyelt', # 0xad
'jjyelp', # 0xae
'jjyelh', # 0xaf
'jjyem', # 0xb0
'jjyeb', # 0xb1
'jjyebs', # 0xb2
'jjyes', # 0xb3
'jjyess', # 0xb4
'jjyeng', # 0xb5
'jjyej', # 0xb6
'jjyec', # 0xb7
'jjyek', # 0xb8
'jjyet', # 0xb9
'jjyep', # 0xba
'jjyeh', # 0xbb
'jjo', # 0xbc
'jjog', # 0xbd
'jjogg', # 0xbe
'jjogs', # 0xbf
'jjon', # 0xc0
'jjonj', # 0xc1
'jjonh', # 0xc2
'jjod', # 0xc3
'jjol', # 0xc4
'jjolg', # 0xc5
'jjolm', # 0xc6
'jjolb', # 0xc7
'jjols', # 0xc8
'jjolt', # 0xc9
'jjolp', # 0xca
'jjolh', # 0xcb
'jjom', # 0xcc
'jjob', # 0xcd
'jjobs', # 0xce
'jjos', # 0xcf
'jjoss', # 0xd0
'jjong', # 0xd1
'jjoj', # 0xd2
'jjoc', # 0xd3
'jjok', # 0xd4
'jjot', # 0xd5
'jjop', # 0xd6
'jjoh', # 0xd7
'jjwa', # 0xd8
'jjwag', # 0xd9
'jjwagg', # 0xda
'jjwags', # 0xdb
'jjwan', # 0xdc
'jjwanj', # 0xdd
'jjwanh', # 0xde
'jjwad', # 0xdf
'jjwal', # 0xe0
'jjwalg', # 0xe1
'jjwalm', # 0xe2
'jjwalb', # 0xe3
'jjwals', # 0xe4
'jjwalt', # 0xe5
'jjwalp', # 0xe6
'jjwalh', # 0xe7
'jjwam', # 0xe8
'jjwab', # 0xe9
'jjwabs', # 0xea
'jjwas', # 0xeb
'jjwass', # 0xec
'jjwang', # 0xed
'jjwaj', # 0xee
'jjwac', # 0xef
'jjwak', # 0xf0
'jjwat', # 0xf1
'jjwap', # 0xf2
'jjwah', # 0xf3
'jjwae', # 0xf4
'jjwaeg', # 0xf5
'jjwaegg', # 0xf6
'jjwaegs', # 0xf7
'jjwaen', # 0xf8
'jjwaenj', # 0xf9
'jjwaenh', # 0xfa
'jjwaed', # 0xfb
'jjwael', # 0xfc
'jjwaelg', # 0xfd
'jjwaelm', # 0xfe
'jjwaelb', # 0xff
)
x0cb = (
'jjwaels', # 0x00
'jjwaelt', # 0x01
'jjwaelp', # 0x02
'jjwaelh', # 0x03
'jjwaem', # 0x04
'jjwaeb', # 0x05
'jjwaebs', # 0x06
'jjwaes', # 0x07
'jjwaess', # 0x08
'jjwaeng', # 0x09
'jjwaej', # 0x0a
'jjwaec', # 0x0b
'jjwaek', # 0x0c
'jjwaet', # 0x0d
'jjwaep', # 0x0e
'jjwaeh', # 0x0f
'jjoe', # 0x10
'jjoeg', # 0x11
'jjoegg', # 0x12
'jjoegs', # 0x13
'jjoen', # 0x14
'jjoenj', # 0x15
'jjoenh', # 0x16
'jjoed', # 0x17
'jjoel', # 0x18
'jjoelg', # 0x19
'jjoelm', # 0x1a
'jjoelb', # 0x1b
'jjoels', # 0x1c
'jjoelt', # 0x1d
'jjoelp', # 0x1e
'jjoelh', # 0x1f
'jjoem', # 0x20
'jjoeb', # 0x21
'jjoebs', # 0x22
'jjoes', # 0x23
'jjoess', # 0x24
'jjoeng', # 0x25
'jjoej', # 0x26
'jjoec', # 0x27
'jjoek', # 0x28
'jjoet', # 0x29
'jjoep', # 0x2a
'jjoeh', # 0x2b
'jjyo', # 0x2c
'jjyog', # 0x2d
'jjyogg', # 0x2e
'jjyogs', # 0x2f
'jjyon', # 0x30
'jjyonj', # 0x31
'jjyonh', # 0x32
'jjyod', # 0x33
'jjyol', # 0x34
'jjyolg', # 0x35
'jjyolm', # 0x36
'jjyolb', # 0x37
'jjyols', # 0x38
'jjyolt', # 0x39
'jjyolp', # 0x3a
'jjyolh', # 0x3b
'jjyom', # 0x3c
'jjyob', # 0x3d
'jjyobs', # 0x3e
'jjyos', # 0x3f
'jjyoss', # 0x40
'jjyong', # 0x41
'jjyoj', # 0x42
'jjyoc', # 0x43
'jjyok', # 0x44
'jjyot', # 0x45
'jjyop', # 0x46
'jjyoh', # 0x47
'jju', # 0x48
'jjug', # 0x49
'jjugg', # 0x4a
'jjugs', # 0x4b
'jjun', # 0x4c
'jjunj', # 0x4d
'jjunh', # 0x4e
'jjud', # 0x4f
'jjul', # 0x50
'jjulg', # 0x51
'jjulm', # 0x52
'jjulb', # 0x53
'jjuls', # 0x54
'jjult', # 0x55
'jjulp', # 0x56
'jjulh', # 0x57
'jjum', # 0x58
'jjub', # 0x59
'jjubs', # 0x5a
'jjus', # 0x5b
'jjuss', # 0x5c
'jjung', # 0x5d
'jjuj', # 0x5e
'jjuc', # 0x5f
'jjuk', # 0x60
'jjut', # 0x61
'jjup', # 0x62
'jjuh', # 0x63
'jjweo', # 0x64
'jjweog', # 0x65
'jjweogg', # 0x66
'jjweogs', # 0x67
'jjweon', # 0x68
'jjweonj', # 0x69
'jjweonh', # 0x6a
'jjweod', # 0x6b
'jjweol', # 0x6c
'jjweolg', # 0x6d
'jjweolm', # 0x6e
'jjweolb', # 0x6f
'jjweols', # 0x70
'jjweolt', # 0x71
'jjweolp', # 0x72
'jjweolh', # 0x73
'jjweom', # 0x74
'jjweob', # 0x75
'jjweobs', # 0x76
'jjweos', # 0x77
'jjweoss', # 0x78
'jjweong', # 0x79
'jjweoj', # 0x7a
'jjweoc', # 0x7b
'jjweok', # 0x7c
'jjweot', # 0x7d
'jjweop', # 0x7e
'jjweoh', # 0x7f
'jjwe', # 0x80
'jjweg', # 0x81
'jjwegg', # 0x82
'jjwegs', # 0x83
'jjwen', # 0x84
'jjwenj', # 0x85
'jjwenh', # 0x86
'jjwed', # 0x87
'jjwel', # 0x88
'jjwelg', # 0x89
'jjwelm', # 0x8a
'jjwelb', # 0x8b
'jjwels', # 0x8c
'jjwelt', # 0x8d
'jjwelp', # 0x8e
'jjwelh', # 0x8f
'jjwem', # 0x90
'jjweb', # 0x91
'jjwebs', # 0x92
'jjwes', # 0x93
'jjwess', # 0x94
'jjweng', # 0x95
'jjwej', # 0x96
'jjwec', # 0x97
'jjwek', # 0x98
'jjwet', # 0x99
'jjwep', # 0x9a
'jjweh', # 0x9b
'jjwi', # 0x9c
'jjwig', # 0x9d
'jjwigg', # 0x9e
'jjwigs', # 0x9f
'jjwin', # 0xa0
'jjwinj', # 0xa1
'jjwinh', # 0xa2
'jjwid', # 0xa3
'jjwil', # 0xa4
'jjwilg', # 0xa5
'jjwilm', # 0xa6
'jjwilb', # 0xa7
'jjwils', # 0xa8
'jjwilt', # 0xa9
'jjwilp', # 0xaa
'jjwilh', # 0xab
'jjwim', # 0xac
'jjwib', # 0xad
'jjwibs', # 0xae
'jjwis', # 0xaf
'jjwiss', # 0xb0
'jjwing', # 0xb1
'jjwij', # 0xb2
'jjwic', # 0xb3
'jjwik', # 0xb4
'jjwit', # 0xb5
'jjwip', # 0xb6
'jjwih', # 0xb7
'jjyu', # 0xb8
'jjyug', # 0xb9
'jjyugg', # 0xba
'jjyugs', # 0xbb
'jjyun', # 0xbc
'jjyunj', # 0xbd
'jjyunh', # 0xbe
'jjyud', # 0xbf
'jjyul', # 0xc0
'jjyulg', # 0xc1
'jjyulm', # 0xc2
'jjyulb', # 0xc3
'jjyuls', # 0xc4
'jjyult', # 0xc5
'jjyulp', # 0xc6
'jjyulh', # 0xc7
'jjyum', # 0xc8
'jjyub', # 0xc9
'jjyubs', # 0xca
'jjyus', # 0xcb
'jjyuss', # 0xcc
'jjyung', # 0xcd
'jjyuj', # 0xce
'jjyuc', # 0xcf
'jjyuk', # 0xd0
'jjyut', # 0xd1
'jjyup', # 0xd2
'jjyuh', # 0xd3
'jjeu', # 0xd4
'jjeug', # 0xd5
'jjeugg', # 0xd6
'jjeugs', # 0xd7
'jjeun', # 0xd8
'jjeunj', # 0xd9
'jjeunh', # 0xda
'jjeud', # 0xdb
'jjeul', # 0xdc
'jjeulg', # 0xdd
'jjeulm', # 0xde
'jjeulb', # 0xdf
'jjeuls', # 0xe0
'jjeult', # 0xe1
'jjeulp', # 0xe2
'jjeulh', # 0xe3
'jjeum', # 0xe4
'jjeub', # 0xe5
'jjeubs', # 0xe6
'jjeus', # 0xe7
'jjeuss', # 0xe8
'jjeung', # 0xe9
'jjeuj', # 0xea
'jjeuc', # 0xeb
'jjeuk', # 0xec
'jjeut', # 0xed
'jjeup', # 0xee
'jjeuh', # 0xef
'jjyi', # 0xf0
'jjyig', # 0xf1
'jjyigg', # 0xf2
'jjyigs', # 0xf3
'jjyin', # 0xf4
'jjyinj', # 0xf5
'jjyinh', # 0xf6
'jjyid', # 0xf7
'jjyil', # 0xf8
'jjyilg', # 0xf9
'jjyilm', # 0xfa
'jjyilb', # 0xfb
'jjyils', # 0xfc
'jjyilt', # 0xfd
'jjyilp', # 0xfe
'jjyilh', # 0xff
)
x0cc = (
'jjyim', # 0x00
'jjyib', # 0x01
'jjyibs', # 0x02
'jjyis', # 0x03
'jjyiss', # 0x04
'jjying', # 0x05
'jjyij', # 0x06
'jjyic', # 0x07
'jjyik', # 0x08
'jjyit', # 0x09
'jjyip', # 0x0a
'jjyih', # 0x0b
'jji', # 0x0c
'jjig', # 0x0d
'jjigg', # 0x0e
'jjigs', # 0x0f
'jjin', # 0x10
'jjinj', # 0x11
'jjinh', # 0x12
'jjid', # 0x13
'jjil', # 0x14
'jjilg', # 0x15
'jjilm', # 0x16
'jjilb', # 0x17
'jjils', # 0x18
'jjilt', # 0x19
'jjilp', # 0x1a
'jjilh', # 0x1b
'jjim', # 0x1c
'jjib', # 0x1d
'jjibs', # 0x1e
'jjis', # 0x1f
'jjiss', # 0x20
'jjing', # 0x21
'jjij', # 0x22
'jjic', # 0x23
'jjik', # 0x24
'jjit', # 0x25
'jjip', # 0x26
'jjih', # 0x27
'ca', # 0x28
'cag', # 0x29
'cagg', # 0x2a
'cags', # 0x2b
'can', # 0x2c
'canj', # 0x2d
'canh', # 0x2e
'cad', # 0x2f
'cal', # 0x30
'calg', # 0x31
'calm', # 0x32
'calb', # 0x33
'cals', # 0x34
'calt', # 0x35
'calp', # 0x36
'calh', # 0x37
'cam', # 0x38
'cab', # 0x39
'cabs', # 0x3a
'cas', # 0x3b
'cass', # 0x3c
'cang', # 0x3d
'caj', # 0x3e
'cac', # 0x3f
'cak', # 0x40
'cat', # 0x41
'cap', # 0x42
'cah', # 0x43
'cae', # 0x44
'caeg', # 0x45
'caegg', # 0x46
'caegs', # 0x47
'caen', # 0x48
'caenj', # 0x49
'caenh', # 0x4a
'caed', # 0x4b
'cael', # 0x4c
'caelg', # 0x4d
'caelm', # 0x4e
'caelb', # 0x4f
'caels', # 0x50
'caelt', # 0x51
'caelp', # 0x52
'caelh', # 0x53
'caem', # 0x54
'caeb', # 0x55
'caebs', # 0x56
'caes', # 0x57
'caess', # 0x58
'caeng', # 0x59
'caej', # 0x5a
'caec', # 0x5b
'caek', # 0x5c
'caet', # 0x5d
'caep', # 0x5e
'caeh', # 0x5f
'cya', # 0x60
'cyag', # 0x61
'cyagg', # 0x62
'cyags', # 0x63
'cyan', # 0x64
'cyanj', # 0x65
'cyanh', # 0x66
'cyad', # 0x67
'cyal', # 0x68
'cyalg', # 0x69
'cyalm', # 0x6a
'cyalb', # 0x6b
'cyals', # 0x6c
'cyalt', # 0x6d
'cyalp', # 0x6e
'cyalh', # 0x6f
'cyam', # 0x70
'cyab', # 0x71
'cyabs', # 0x72
'cyas', # 0x73
'cyass', # 0x74
'cyang', # 0x75
'cyaj', # 0x76
'cyac', # 0x77
'cyak', # 0x78
'cyat', # 0x79
'cyap', # 0x7a
'cyah', # 0x7b
'cyae', # 0x7c
'cyaeg', # 0x7d
'cyaegg', # 0x7e
'cyaegs', # 0x7f
'cyaen', # 0x80
'cyaenj', # 0x81
'cyaenh', # 0x82
'cyaed', # 0x83
'cyael', # 0x84
'cyaelg', # 0x85
'cyaelm', # 0x86
'cyaelb', # 0x87
'cyaels', # 0x88
'cyaelt', # 0x89
'cyaelp', # 0x8a
'cyaelh', # 0x8b
'cyaem', # 0x8c
'cyaeb', # 0x8d
'cyaebs', # 0x8e
'cyaes', # 0x8f
'cyaess', # 0x90
'cyaeng', # 0x91
'cyaej', # 0x92
'cyaec', # 0x93
'cyaek', # 0x94
'cyaet', # 0x95
'cyaep', # 0x96
'cyaeh', # 0x97
'ceo', # 0x98
'ceog', # 0x99
'ceogg', # 0x9a
'ceogs', # 0x9b
'ceon', # 0x9c
'ceonj', # 0x9d
'ceonh', # 0x9e
'ceod', # 0x9f
'ceol', # 0xa0
'ceolg', # 0xa1
'ceolm', # 0xa2
'ceolb', # 0xa3
'ceols', # 0xa4
'ceolt', # 0xa5
'ceolp', # 0xa6
'ceolh', # 0xa7
'ceom', # 0xa8
'ceob', # 0xa9
'ceobs', # 0xaa
'ceos', # 0xab
'ceoss', # 0xac
'ceong', # 0xad
'ceoj', # 0xae
'ceoc', # 0xaf
'ceok', # 0xb0
'ceot', # 0xb1
'ceop', # 0xb2
'ceoh', # 0xb3
'ce', # 0xb4
'ceg', # 0xb5
'cegg', # 0xb6
'cegs', # 0xb7
'cen', # 0xb8
'cenj', # 0xb9
'cenh', # 0xba
'ced', # 0xbb
'cel', # 0xbc
'celg', # 0xbd
'celm', # 0xbe
'celb', # 0xbf
'cels', # 0xc0
'celt', # 0xc1
'celp', # 0xc2
'celh', # 0xc3
'cem', # 0xc4
'ceb', # 0xc5
'cebs', # 0xc6
'ces', # 0xc7
'cess', # 0xc8
'ceng', # 0xc9
'cej', # 0xca
'cec', # 0xcb
'cek', # 0xcc
'cet', # 0xcd
'cep', # 0xce
'ceh', # 0xcf
'cyeo', # 0xd0
'cyeog', # 0xd1
'cyeogg', # 0xd2
'cyeogs', # 0xd3
'cyeon', # 0xd4
'cyeonj', # 0xd5
'cyeonh', # 0xd6
'cyeod', # 0xd7
'cyeol', # 0xd8
'cyeolg', # 0xd9
'cyeolm', # 0xda
'cyeolb', # 0xdb
'cyeols', # 0xdc
'cyeolt', # 0xdd
'cyeolp', # 0xde
'cyeolh', # 0xdf
'cyeom', # 0xe0
'cyeob', # 0xe1
'cyeobs', # 0xe2
'cyeos', # 0xe3
'cyeoss', # 0xe4
'cyeong', # 0xe5
'cyeoj', # 0xe6
'cyeoc', # 0xe7
'cyeok', # 0xe8
'cyeot', # 0xe9
'cyeop', # 0xea
'cyeoh', # 0xeb
'cye', # 0xec
'cyeg', # 0xed
'cyegg', # 0xee
'cyegs', # 0xef
'cyen', # 0xf0
'cyenj', # 0xf1
'cyenh', # 0xf2
'cyed', # 0xf3
'cyel', # 0xf4
'cyelg', # 0xf5
'cyelm', # 0xf6
'cyelb', # 0xf7
'cyels', # 0xf8
'cyelt', # 0xf9
'cyelp', # 0xfa
'cyelh', # 0xfb
'cyem', # 0xfc
'cyeb', # 0xfd
'cyebs', # 0xfe
'cyes', # 0xff
)
x0cd = (
'cyess', # 0x00
'cyeng', # 0x01
'cyej', # 0x02
'cyec', # 0x03
'cyek', # 0x04
'cyet', # 0x05
'cyep', # 0x06
'cyeh', # 0x07
'co', # 0x08
'cog', # 0x09
'cogg', # 0x0a
'cogs', # 0x0b
'con', # 0x0c
'conj', # 0x0d
'conh', # 0x0e
'cod', # 0x0f
'col', # 0x10
'colg', # 0x11
'colm', # 0x12
'colb', # 0x13
'cols', # 0x14
'colt', # 0x15
'colp', # 0x16
'colh', # 0x17
'com', # 0x18
'cob', # 0x19
'cobs', # 0x1a
'cos', # 0x1b
'coss', # 0x1c
'cong', # 0x1d
'coj', # 0x1e
'coc', # 0x1f
'cok', # 0x20
'cot', # 0x21
'cop', # 0x22
'coh', # 0x23
'cwa', # 0x24
'cwag', # 0x25
'cwagg', # 0x26
'cwags', # 0x27
'cwan', # 0x28
'cwanj', # 0x29
'cwanh', # 0x2a
'cwad', # 0x2b
'cwal', # 0x2c
'cwalg', # 0x2d
'cwalm', # 0x2e
'cwalb', # 0x2f
'cwals', # 0x30
'cwalt', # 0x31
'cwalp', # 0x32
'cwalh', # 0x33
'cwam', # 0x34
'cwab', # 0x35
'cwabs', # 0x36
'cwas', # 0x37
'cwass', # 0x38
'cwang', # 0x39
'cwaj', # 0x3a
'cwac', # 0x3b
'cwak', # 0x3c
'cwat', # 0x3d
'cwap', # 0x3e
'cwah', # 0x3f
'cwae', # 0x40
'cwaeg', # 0x41
'cwaegg', # 0x42
'cwaegs', # 0x43
'cwaen', # 0x44
'cwaenj', # 0x45
'cwaenh', # 0x46
'cwaed', # 0x47
'cwael', # 0x48
'cwaelg', # 0x49
'cwaelm', # 0x4a
'cwaelb', # 0x4b
'cwaels', # 0x4c
'cwaelt', # 0x4d
'cwaelp', # 0x4e
'cwaelh', # 0x4f
'cwaem', # 0x50
'cwaeb', # 0x51
'cwaebs', # 0x52
'cwaes', # 0x53
'cwaess', # 0x54
'cwaeng', # 0x55
'cwaej', # 0x56
'cwaec', # 0x57
'cwaek', # 0x58
'cwaet', # 0x59
'cwaep', # 0x5a
'cwaeh', # 0x5b
'coe', # 0x5c
'coeg', # 0x5d
'coegg', # 0x5e
'coegs', # 0x5f
'coen', # 0x60
'coenj', # 0x61
'coenh', # 0x62
'coed', # 0x63
'coel', # 0x64
'coelg', # 0x65
'coelm', # 0x66
'coelb', # 0x67
'coels', # 0x68
'coelt', # 0x69
'coelp', # 0x6a
'coelh', # 0x6b
'coem', # 0x6c
'coeb', # 0x6d
'coebs', # 0x6e
'coes', # 0x6f
'coess', # 0x70
'coeng', # 0x71
'coej', # 0x72
'coec', # 0x73
'coek', # 0x74
'coet', # 0x75
'coep', # 0x76
'coeh', # 0x77
'cyo', # 0x78
'cyog', # 0x79
'cyogg', # 0x7a
'cyogs', # 0x7b
'cyon', # 0x7c
'cyonj', # 0x7d
'cyonh', # 0x7e
'cyod', # 0x7f
'cyol', # 0x80
'cyolg', # 0x81
'cyolm', # 0x82
'cyolb', # 0x83
'cyols', # 0x84
'cyolt', # 0x85
'cyolp', # 0x86
'cyolh', # 0x87
'cyom', # 0x88
'cyob', # 0x89
'cyobs', # 0x8a
'cyos', # 0x8b
'cyoss', # 0x8c
'cyong', # 0x8d
'cyoj', # 0x8e
'cyoc', # 0x8f
'cyok', # 0x90
'cyot', # 0x91
'cyop', # 0x92
'cyoh', # 0x93
'cu', # 0x94
'cug', # 0x95
'cugg', # 0x96
'cugs', # 0x97
'cun', # 0x98
'cunj', # 0x99
'cunh', # 0x9a
'cud', # 0x9b
'cul', # 0x9c
'culg', # 0x9d
'culm', # 0x9e
'culb', # 0x9f
'culs', # 0xa0
'cult', # 0xa1
'culp', # 0xa2
'culh', # 0xa3
'cum', # 0xa4
'cub', # 0xa5
'cubs', # 0xa6
'cus', # 0xa7
'cuss', # 0xa8
'cung', # 0xa9
'cuj', # 0xaa
'cuc', # 0xab
'cuk', # 0xac
'cut', # 0xad
'cup', # 0xae
'cuh', # 0xaf
'cweo', # 0xb0
'cweog', # 0xb1
'cweogg', # 0xb2
'cweogs', # 0xb3
'cweon', # 0xb4
'cweonj', # 0xb5
'cweonh', # 0xb6
'cweod', # 0xb7
'cweol', # 0xb8
'cweolg', # 0xb9
'cweolm', # 0xba
'cweolb', # 0xbb
'cweols', # 0xbc
'cweolt', # 0xbd
'cweolp', # 0xbe
'cweolh', # 0xbf
'cweom', # 0xc0
'cweob', # 0xc1
'cweobs', # 0xc2
'cweos', # 0xc3
'cweoss', # 0xc4
'cweong', # 0xc5
'cweoj', # 0xc6
'cweoc', # 0xc7
'cweok', # 0xc8
'cweot', # 0xc9
'cweop', # 0xca
'cweoh', # 0xcb
'cwe', # 0xcc
'cweg', # 0xcd
'cwegg', # 0xce
'cwegs', # 0xcf
'cwen', # 0xd0
'cwenj', # 0xd1
'cwenh', # 0xd2
'cwed', # 0xd3
'cwel', # 0xd4
'cwelg', # 0xd5
'cwelm', # 0xd6
'cwelb', # 0xd7
'cwels', # 0xd8
'cwelt', # 0xd9
'cwelp', # 0xda
'cwelh', # 0xdb
'cwem', # 0xdc
'cweb', # 0xdd
'cwebs', # 0xde
'cwes', # 0xdf
'cwess', # 0xe0
'cweng', # 0xe1
'cwej', # 0xe2
'cwec', # 0xe3
'cwek', # 0xe4
'cwet', # 0xe5
'cwep', # 0xe6
'cweh', # 0xe7
'cwi', # 0xe8
'cwig', # 0xe9
'cwigg', # 0xea
'cwigs', # 0xeb
'cwin', # 0xec
'cwinj', # 0xed
'cwinh', # 0xee
'cwid', # 0xef
'cwil', # 0xf0
'cwilg', # 0xf1
'cwilm', # 0xf2
'cwilb', # 0xf3
'cwils', # 0xf4
'cwilt', # 0xf5
'cwilp', # 0xf6
'cwilh', # 0xf7
'cwim', # 0xf8
'cwib', # 0xf9
'cwibs', # 0xfa
'cwis', # 0xfb
'cwiss', # 0xfc
'cwing', # 0xfd
'cwij', # 0xfe
'cwic', # 0xff
)
x0ce = (
'cwik', # 0x00
'cwit', # 0x01
'cwip', # 0x02
'cwih', # 0x03
'cyu', # 0x04
'cyug', # 0x05
'cyugg', # 0x06
'cyugs', # 0x07
'cyun', # 0x08
'cyunj', # 0x09
'cyunh', # 0x0a
'cyud', # 0x0b
'cyul', # 0x0c
'cyulg', # 0x0d
'cyulm', # 0x0e
'cyulb', # 0x0f
'cyuls', # 0x10
'cyult', # 0x11
'cyulp', # 0x12
'cyulh', # 0x13
'cyum', # 0x14
'cyub', # 0x15
'cyubs', # 0x16
'cyus', # 0x17
'cyuss', # 0x18
'cyung', # 0x19
'cyuj', # 0x1a
'cyuc', # 0x1b
'cyuk', # 0x1c
'cyut', # 0x1d
'cyup', # 0x1e
'cyuh', # 0x1f
'ceu', # 0x20
'ceug', # 0x21
'ceugg', # 0x22
'ceugs', # 0x23
'ceun', # 0x24
'ceunj', # 0x25
'ceunh', # 0x26
'ceud', # 0x27
'ceul', # 0x28
'ceulg', # 0x29
'ceulm', # 0x2a
'ceulb', # 0x2b
'ceuls', # 0x2c
'ceult', # 0x2d
'ceulp', # 0x2e
'ceulh', # 0x2f
'ceum', # 0x30
'ceub', # 0x31
'ceubs', # 0x32
'ceus', # 0x33
'ceuss', # 0x34
'ceung', # 0x35
'ceuj', # 0x36
'ceuc', # 0x37
'ceuk', # 0x38
'ceut', # 0x39
'ceup', # 0x3a
'ceuh', # 0x3b
'cyi', # 0x3c
'cyig', # 0x3d
'cyigg', # 0x3e
'cyigs', # 0x3f
'cyin', # 0x40
'cyinj', # 0x41
'cyinh', # 0x42
'cyid', # 0x43
'cyil', # 0x44
'cyilg', # 0x45
'cyilm', # 0x46
'cyilb', # 0x47
'cyils', # 0x48
'cyilt', # 0x49
'cyilp', # 0x4a
'cyilh', # 0x4b
'cyim', # 0x4c
'cyib', # 0x4d
'cyibs', # 0x4e
'cyis', # 0x4f
'cyiss', # 0x50
'cying', # 0x51
'cyij', # 0x52
'cyic', # 0x53
'cyik', # 0x54
'cyit', # 0x55
'cyip', # 0x56
'cyih', # 0x57
'ci', # 0x58
'cig', # 0x59
'cigg', # 0x5a
'cigs', # 0x5b
'cin', # 0x5c
'cinj', # 0x5d
'cinh', # 0x5e
'cid', # 0x5f
'cil', # 0x60
'cilg', # 0x61
'cilm', # 0x62
'cilb', # 0x63
'cils', # 0x64
'cilt', # 0x65
'cilp', # 0x66
'cilh', # 0x67
'cim', # 0x68
'cib', # 0x69
'cibs', # 0x6a
'cis', # 0x6b
'ciss', # 0x6c
'cing', # 0x6d
'cij', # 0x6e
'cic', # 0x6f
'cik', # 0x70
'cit', # 0x71
'cip', # 0x72
'cih', # 0x73
'ka', # 0x74
'kag', # 0x75
'kagg', # 0x76
'kags', # 0x77
'kan', # 0x78
'kanj', # 0x79
'kanh', # 0x7a
'kad', # 0x7b
'kal', # 0x7c
'kalg', # 0x7d
'kalm', # 0x7e
'kalb', # 0x7f
'kals', # 0x80
'kalt', # 0x81
'kalp', # 0x82
'kalh', # 0x83
'kam', # 0x84
'kab', # 0x85
'kabs', # 0x86
'kas', # 0x87
'kass', # 0x88
'kang', # 0x89
'kaj', # 0x8a
'kac', # 0x8b
'kak', # 0x8c
'kat', # 0x8d
'kap', # 0x8e
'kah', # 0x8f
'kae', # 0x90
'kaeg', # 0x91
'kaegg', # 0x92
'kaegs', # 0x93
'kaen', # 0x94
'kaenj', # 0x95
'kaenh', # 0x96
'kaed', # 0x97
'kael', # 0x98
'kaelg', # 0x99
'kaelm', # 0x9a
'kaelb', # 0x9b
'kaels', # 0x9c
'kaelt', # 0x9d
'kaelp', # 0x9e
'kaelh', # 0x9f
'kaem', # 0xa0
'kaeb', # 0xa1
'kaebs', # 0xa2
'kaes', # 0xa3
'kaess', # 0xa4
'kaeng', # 0xa5
'kaej', # 0xa6
'kaec', # 0xa7
'kaek', # 0xa8
'kaet', # 0xa9
'kaep', # 0xaa
'kaeh', # 0xab
'kya', # 0xac
'kyag', # 0xad
'kyagg', # 0xae
'kyags', # 0xaf
'kyan', # 0xb0
'kyanj', # 0xb1
'kyanh', # 0xb2
'kyad', # 0xb3
'kyal', # 0xb4
'kyalg', # 0xb5
'kyalm', # 0xb6
'kyalb', # 0xb7
'kyals', # 0xb8
'kyalt', # 0xb9
'kyalp', # 0xba
'kyalh', # 0xbb
'kyam', # 0xbc
'kyab', # 0xbd
'kyabs', # 0xbe
'kyas', # 0xbf
'kyass', # 0xc0
'kyang', # 0xc1
'kyaj', # 0xc2
'kyac', # 0xc3
'kyak', # 0xc4
'kyat', # 0xc5
'kyap', # 0xc6
'kyah', # 0xc7
'kyae', # 0xc8
'kyaeg', # 0xc9
'kyaegg', # 0xca
'kyaegs', # 0xcb
'kyaen', # 0xcc
'kyaenj', # 0xcd
'kyaenh', # 0xce
'kyaed', # 0xcf
'kyael', # 0xd0
'kyaelg', # 0xd1
'kyaelm', # 0xd2
'kyaelb', # 0xd3
'kyaels', # 0xd4
'kyaelt', # 0xd5
'kyaelp', # 0xd6
'kyaelh', # 0xd7
'kyaem', # 0xd8
'kyaeb', # 0xd9
'kyaebs', # 0xda
'kyaes', # 0xdb
'kyaess', # 0xdc
'kyaeng', # 0xdd
'kyaej', # 0xde
'kyaec', # 0xdf
'kyaek', # 0xe0
'kyaet', # 0xe1
'kyaep', # 0xe2
'kyaeh', # 0xe3
'keo', # 0xe4
'keog', # 0xe5
'keogg', # 0xe6
'keogs', # 0xe7
'keon', # 0xe8
'keonj', # 0xe9
'keonh', # 0xea
'keod', # 0xeb
'keol', # 0xec
'keolg', # 0xed
'keolm', # 0xee
'keolb', # 0xef
'keols', # 0xf0
'keolt', # 0xf1
'keolp', # 0xf2
'keolh', # 0xf3
'keom', # 0xf4
'keob', # 0xf5
'keobs', # 0xf6
'keos', # 0xf7
'keoss', # 0xf8
'keong', # 0xf9
'keoj', # 0xfa
'keoc', # 0xfb
'keok', # 0xfc
'keot', # 0xfd
'keop', # 0xfe
'keoh', # 0xff
)
x0cf = (
'ke', # 0x00
'keg', # 0x01
'kegg', # 0x02
'kegs', # 0x03
'ken', # 0x04
'kenj', # 0x05
'kenh', # 0x06
'ked', # 0x07
'kel', # 0x08
'kelg', # 0x09
'kelm', # 0x0a
'kelb', # 0x0b
'kels', # 0x0c
'kelt', # 0x0d
'kelp', # 0x0e
'kelh', # 0x0f
'kem', # 0x10
'keb', # 0x11
'kebs', # 0x12
'kes', # 0x13
'kess', # 0x14
'keng', # 0x15
'kej', # 0x16
'kec', # 0x17
'kek', # 0x18
'ket', # 0x19
'kep', # 0x1a
'keh', # 0x1b
'kyeo', # 0x1c
'kyeog', # 0x1d
'kyeogg', # 0x1e
'kyeogs', # 0x1f
'kyeon', # 0x20
'kyeonj', # 0x21
'kyeonh', # 0x22
'kyeod', # 0x23
'kyeol', # 0x24
'kyeolg', # 0x25
'kyeolm', # 0x26
'kyeolb', # 0x27
'kyeols', # 0x28
'kyeolt', # 0x29
'kyeolp', # 0x2a
'kyeolh', # 0x2b
'kyeom', # 0x2c
'kyeob', # 0x2d
'kyeobs', # 0x2e
'kyeos', # 0x2f
'kyeoss', # 0x30
'kyeong', # 0x31
'kyeoj', # 0x32
'kyeoc', # 0x33
'kyeok', # 0x34
'kyeot', # 0x35
'kyeop', # 0x36
'kyeoh', # 0x37
'kye', # 0x38
'kyeg', # 0x39
'kyegg', # 0x3a
'kyegs', # 0x3b
'kyen', # 0x3c
'kyenj', # 0x3d
'kyenh', # 0x3e
'kyed', # 0x3f
'kyel', # 0x40
'kyelg', # 0x41
'kyelm', # 0x42
'kyelb', # 0x43
'kyels', # 0x44
'kyelt', # 0x45
'kyelp', # 0x46
'kyelh', # 0x47
'kyem', # 0x48
'kyeb', # 0x49
'kyebs', # 0x4a
'kyes', # 0x4b
'kyess', # 0x4c
'kyeng', # 0x4d
'kyej', # 0x4e
'kyec', # 0x4f
'kyek', # 0x50
'kyet', # 0x51
'kyep', # 0x52
'kyeh', # 0x53
'ko', # 0x54
'kog', # 0x55
'kogg', # 0x56
'kogs', # 0x57
'kon', # 0x58
'konj', # 0x59
'konh', # 0x5a
'kod', # 0x5b
'kol', # 0x5c
'kolg', # 0x5d
'kolm', # 0x5e
'kolb', # 0x5f
'kols', # 0x60
'kolt', # 0x61
'kolp', # 0x62
'kolh', # 0x63
'kom', # 0x64
'kob', # 0x65
'kobs', # 0x66
'kos', # 0x67
'koss', # 0x68
'kong', # 0x69
'koj', # 0x6a
'koc', # 0x6b
'kok', # 0x6c
'kot', # 0x6d
'kop', # 0x6e
'koh', # 0x6f
'kwa', # 0x70
'kwag', # 0x71
'kwagg', # 0x72
'kwags', # 0x73
'kwan', # 0x74
'kwanj', # 0x75
'kwanh', # 0x76
'kwad', # 0x77
'kwal', # 0x78
'kwalg', # 0x79
'kwalm', # 0x7a
'kwalb', # 0x7b
'kwals', # 0x7c
'kwalt', # 0x7d
'kwalp', # 0x7e
'kwalh', # 0x7f
'kwam', # 0x80
'kwab', # 0x81
'kwabs', # 0x82
'kwas', # 0x83
'kwass', # 0x84
'kwang', # 0x85
'kwaj', # 0x86
'kwac', # 0x87
'kwak', # 0x88
'kwat', # 0x89
'kwap', # 0x8a
'kwah', # 0x8b
'kwae', # 0x8c
'kwaeg', # 0x8d
'kwaegg', # 0x8e
'kwaegs', # 0x8f
'kwaen', # 0x90
'kwaenj', # 0x91
'kwaenh', # 0x92
'kwaed', # 0x93
'kwael', # 0x94
'kwaelg', # 0x95
'kwaelm', # 0x96
'kwaelb', # 0x97
'kwaels', # 0x98
'kwaelt', # 0x99
'kwaelp', # 0x9a
'kwaelh', # 0x9b
'kwaem', # 0x9c
'kwaeb', # 0x9d
'kwaebs', # 0x9e
'kwaes', # 0x9f
'kwaess', # 0xa0
'kwaeng', # 0xa1
'kwaej', # 0xa2
'kwaec', # 0xa3
'kwaek', # 0xa4
'kwaet', # 0xa5
'kwaep', # 0xa6
'kwaeh', # 0xa7
'koe', # 0xa8
'koeg', # 0xa9
'koegg', # 0xaa
'koegs', # 0xab
'koen', # 0xac
'koenj', # 0xad
'koenh', # 0xae
'koed', # 0xaf
'koel', # 0xb0
'koelg', # 0xb1
'koelm', # 0xb2
'koelb', # 0xb3
'koels', # 0xb4
'koelt', # 0xb5
'koelp', # 0xb6
'koelh', # 0xb7
'koem', # 0xb8
'koeb', # 0xb9
'koebs', # 0xba
'koes', # 0xbb
'koess', # 0xbc
'koeng', # 0xbd
'koej', # 0xbe
'koec', # 0xbf
'koek', # 0xc0
'koet', # 0xc1
'koep', # 0xc2
'koeh', # 0xc3
'kyo', # 0xc4
'kyog', # 0xc5
'kyogg', # 0xc6
'kyogs', # 0xc7
'kyon', # 0xc8
'kyonj', # 0xc9
'kyonh', # 0xca
'kyod', # 0xcb
'kyol', # 0xcc
'kyolg', # 0xcd
'kyolm', # 0xce
'kyolb', # 0xcf
'kyols', # 0xd0
'kyolt', # 0xd1
'kyolp', # 0xd2
'kyolh', # 0xd3
'kyom', # 0xd4
'kyob', # 0xd5
'kyobs', # 0xd6
'kyos', # 0xd7
'kyoss', # 0xd8
'kyong', # 0xd9
'kyoj', # 0xda
'kyoc', # 0xdb
'kyok', # 0xdc
'kyot', # 0xdd
'kyop', # 0xde
'kyoh', # 0xdf
'ku', # 0xe0
'kug', # 0xe1
'kugg', # 0xe2
'kugs', # 0xe3
'kun', # 0xe4
'kunj', # 0xe5
'kunh', # 0xe6
'kud', # 0xe7
'kul', # 0xe8
'kulg', # 0xe9
'kulm', # 0xea
'kulb', # 0xeb
'kuls', # 0xec
'kult', # 0xed
'kulp', # 0xee
'kulh', # 0xef
'kum', # 0xf0
'kub', # 0xf1
'kubs', # 0xf2
'kus', # 0xf3
'kuss', # 0xf4
'kung', # 0xf5
'kuj', # 0xf6
'kuc', # 0xf7
'kuk', # 0xf8
'kut', # 0xf9
'kup', # 0xfa
'kuh', # 0xfb
'kweo', # 0xfc
'kweog', # 0xfd
'kweogg', # 0xfe
'kweogs', # 0xff
)
x0d0 = (
'kweon', # 0x00
'kweonj', # 0x01
'kweonh', # 0x02
'kweod', # 0x03
'kweol', # 0x04
'kweolg', # 0x05
'kweolm', # 0x06
'kweolb', # 0x07
'kweols', # 0x08
'kweolt', # 0x09
'kweolp', # 0x0a
'kweolh', # 0x0b
'kweom', # 0x0c
'kweob', # 0x0d
'kweobs', # 0x0e
'kweos', # 0x0f
'kweoss', # 0x10
'kweong', # 0x11
'kweoj', # 0x12
'kweoc', # 0x13
'kweok', # 0x14
'kweot', # 0x15
'kweop', # 0x16
'kweoh', # 0x17
'kwe', # 0x18
'kweg', # 0x19
'kwegg', # 0x1a
'kwegs', # 0x1b
'kwen', # 0x1c
'kwenj', # 0x1d
'kwenh', # 0x1e
'kwed', # 0x1f
'kwel', # 0x20
'kwelg', # 0x21
'kwelm', # 0x22
'kwelb', # 0x23
'kwels', # 0x24
'kwelt', # 0x25
'kwelp', # 0x26
'kwelh', # 0x27
'kwem', # 0x28
'kweb', # 0x29
'kwebs', # 0x2a
'kwes', # 0x2b
'kwess', # 0x2c
'kweng', # 0x2d
'kwej', # 0x2e
'kwec', # 0x2f
'kwek', # 0x30
'kwet', # 0x31
'kwep', # 0x32
'kweh', # 0x33
'kwi', # 0x34
'kwig', # 0x35
'kwigg', # 0x36
'kwigs', # 0x37
'kwin', # 0x38
'kwinj', # 0x39
'kwinh', # 0x3a
'kwid', # 0x3b
'kwil', # 0x3c
'kwilg', # 0x3d
'kwilm', # 0x3e
'kwilb', # 0x3f
'kwils', # 0x40
'kwilt', # 0x41
'kwilp', # 0x42
'kwilh', # 0x43
'kwim', # 0x44
'kwib', # 0x45
'kwibs', # 0x46
'kwis', # 0x47
'kwiss', # 0x48
'kwing', # 0x49
'kwij', # 0x4a
'kwic', # 0x4b
'kwik', # 0x4c
'kwit', # 0x4d
'kwip', # 0x4e
'kwih', # 0x4f
'kyu', # 0x50
'kyug', # 0x51
'kyugg', # 0x52
'kyugs', # 0x53
'kyun', # 0x54
'kyunj', # 0x55
'kyunh', # 0x56
'kyud', # 0x57
'kyul', # 0x58
'kyulg', # 0x59
'kyulm', # 0x5a
'kyulb', # 0x5b
'kyuls', # 0x5c
'kyult', # 0x5d
'kyulp', # 0x5e
'kyulh', # 0x5f
'kyum', # 0x60
'kyub', # 0x61
'kyubs', # 0x62
'kyus', # 0x63
'kyuss', # 0x64
'kyung', # 0x65
'kyuj', # 0x66
'kyuc', # 0x67
'kyuk', # 0x68
'kyut', # 0x69
'kyup', # 0x6a
'kyuh', # 0x6b
'keu', # 0x6c
'keug', # 0x6d
'keugg', # 0x6e
'keugs', # 0x6f
'keun', # 0x70
'keunj', # 0x71
'keunh', # 0x72
'keud', # 0x73
'keul', # 0x74
'keulg', # 0x75
'keulm', # 0x76
'keulb', # 0x77
'keuls', # 0x78
'keult', # 0x79
'keulp', # 0x7a
'keulh', # 0x7b
'keum', # 0x7c
'keub', # 0x7d
'keubs', # 0x7e
'keus', # 0x7f
'keuss', # 0x80
'keung', # 0x81
'keuj', # 0x82
'keuc', # 0x83
'keuk', # 0x84
'keut', # 0x85
'keup', # 0x86
'keuh', # 0x87
'kyi', # 0x88
'kyig', # 0x89
'kyigg', # 0x8a
'kyigs', # 0x8b
'kyin', # 0x8c
'kyinj', # 0x8d
'kyinh', # 0x8e
'kyid', # 0x8f
'kyil', # 0x90
'kyilg', # 0x91
'kyilm', # 0x92
'kyilb', # 0x93
'kyils', # 0x94
'kyilt', # 0x95
'kyilp', # 0x96
'kyilh', # 0x97
'kyim', # 0x98
'kyib', # 0x99
'kyibs', # 0x9a
'kyis', # 0x9b
'kyiss', # 0x9c
'kying', # 0x9d
'kyij', # 0x9e
'kyic', # 0x9f
'kyik', # 0xa0
'kyit', # 0xa1
'kyip', # 0xa2
'kyih', # 0xa3
'ki', # 0xa4
'kig', # 0xa5
'kigg', # 0xa6
'kigs', # 0xa7
'kin', # 0xa8
'kinj', # 0xa9
'kinh', # 0xaa
'kid', # 0xab
'kil', # 0xac
'kilg', # 0xad
'kilm', # 0xae
'kilb', # 0xaf
'kils', # 0xb0
'kilt', # 0xb1
'kilp', # 0xb2
'kilh', # 0xb3
'kim', # 0xb4
'kib', # 0xb5
'kibs', # 0xb6
'kis', # 0xb7
'kiss', # 0xb8
'king', # 0xb9
'kij', # 0xba
'kic', # 0xbb
'kik', # 0xbc
'kit', # 0xbd
'kip', # 0xbe
'kih', # 0xbf
'ta', # 0xc0
'tag', # 0xc1
'tagg', # 0xc2
'tags', # 0xc3
'tan', # 0xc4
'tanj', # 0xc5
'tanh', # 0xc6
'tad', # 0xc7
'tal', # 0xc8
'talg', # 0xc9
'talm', # 0xca
'talb', # 0xcb
'tals', # 0xcc
'talt', # 0xcd
'talp', # 0xce
'talh', # 0xcf
'tam', # 0xd0
'tab', # 0xd1
'tabs', # 0xd2
'tas', # 0xd3
'tass', # 0xd4
'tang', # 0xd5
'taj', # 0xd6
'tac', # 0xd7
'tak', # 0xd8
'tat', # 0xd9
'tap', # 0xda
'tah', # 0xdb
'tae', # 0xdc
'taeg', # 0xdd
'taegg', # 0xde
'taegs', # 0xdf
'taen', # 0xe0
'taenj', # 0xe1
'taenh', # 0xe2
'taed', # 0xe3
'tael', # 0xe4
'taelg', # 0xe5
'taelm', # 0xe6
'taelb', # 0xe7
'taels', # 0xe8
'taelt', # 0xe9
'taelp', # 0xea
'taelh', # 0xeb
'taem', # 0xec
'taeb', # 0xed
'taebs', # 0xee
'taes', # 0xef
'taess', # 0xf0
'taeng', # 0xf1
'taej', # 0xf2
'taec', # 0xf3
'taek', # 0xf4
'taet', # 0xf5
'taep', # 0xf6
'taeh', # 0xf7
'tya', # 0xf8
'tyag', # 0xf9
'tyagg', # 0xfa
'tyags', # 0xfb
'tyan', # 0xfc
'tyanj', # 0xfd
'tyanh', # 0xfe
'tyad', # 0xff
)
x0d1 = (
'tyal', # 0x00
'tyalg', # 0x01
'tyalm', # 0x02
'tyalb', # 0x03
'tyals', # 0x04
'tyalt', # 0x05
'tyalp', # 0x06
'tyalh', # 0x07
'tyam', # 0x08
'tyab', # 0x09
'tyabs', # 0x0a
'tyas', # 0x0b
'tyass', # 0x0c
'tyang', # 0x0d
'tyaj', # 0x0e
'tyac', # 0x0f
'tyak', # 0x10
'tyat', # 0x11
'tyap', # 0x12
'tyah', # 0x13
'tyae', # 0x14
'tyaeg', # 0x15
'tyaegg', # 0x16
'tyaegs', # 0x17
'tyaen', # 0x18
'tyaenj', # 0x19
'tyaenh', # 0x1a
'tyaed', # 0x1b
'tyael', # 0x1c
'tyaelg', # 0x1d
'tyaelm', # 0x1e
'tyaelb', # 0x1f
'tyaels', # 0x20
'tyaelt', # 0x21
'tyaelp', # 0x22
'tyaelh', # 0x23
'tyaem', # 0x24
'tyaeb', # 0x25
'tyaebs', # 0x26
'tyaes', # 0x27
'tyaess', # 0x28
'tyaeng', # 0x29
'tyaej', # 0x2a
'tyaec', # 0x2b
'tyaek', # 0x2c
'tyaet', # 0x2d
'tyaep', # 0x2e
'tyaeh', # 0x2f
'teo', # 0x30
'teog', # 0x31
'teogg', # 0x32
'teogs', # 0x33
'teon', # 0x34
'teonj', # 0x35
'teonh', # 0x36
'teod', # 0x37
'teol', # 0x38
'teolg', # 0x39
'teolm', # 0x3a
'teolb', # 0x3b
'teols', # 0x3c
'teolt', # 0x3d
'teolp', # 0x3e
'teolh', # 0x3f
'teom', # 0x40
'teob', # 0x41
'teobs', # 0x42
'teos', # 0x43
'teoss', # 0x44
'teong', # 0x45
'teoj', # 0x46
'teoc', # 0x47
'teok', # 0x48
'teot', # 0x49
'teop', # 0x4a
'teoh', # 0x4b
'te', # 0x4c
'teg', # 0x4d
'tegg', # 0x4e
'tegs', # 0x4f
'ten', # 0x50
'tenj', # 0x51
'tenh', # 0x52
'ted', # 0x53
'tel', # 0x54
'telg', # 0x55
'telm', # 0x56
'telb', # 0x57
'tels', # 0x58
'telt', # 0x59
'telp', # 0x5a
'telh', # 0x5b
'tem', # 0x5c
'teb', # 0x5d
'tebs', # 0x5e
'tes', # 0x5f
'tess', # 0x60
'teng', # 0x61
'tej', # 0x62
'tec', # 0x63
'tek', # 0x64
'tet', # 0x65
'tep', # 0x66
'teh', # 0x67
'tyeo', # 0x68
'tyeog', # 0x69
'tyeogg', # 0x6a
'tyeogs', # 0x6b
'tyeon', # 0x6c
'tyeonj', # 0x6d
'tyeonh', # 0x6e
'tyeod', # 0x6f
'tyeol', # 0x70
'tyeolg', # 0x71
'tyeolm', # 0x72
'tyeolb', # 0x73
'tyeols', # 0x74
'tyeolt', # 0x75
'tyeolp', # 0x76
'tyeolh', # 0x77
'tyeom', # 0x78
'tyeob', # 0x79
'tyeobs', # 0x7a
'tyeos', # 0x7b
'tyeoss', # 0x7c
'tyeong', # 0x7d
'tyeoj', # 0x7e
'tyeoc', # 0x7f
'tyeok', # 0x80
'tyeot', # 0x81
'tyeop', # 0x82
'tyeoh', # 0x83
'tye', # 0x84
'tyeg', # 0x85
'tyegg', # 0x86
'tyegs', # 0x87
'tyen', # 0x88
'tyenj', # 0x89
'tyenh', # 0x8a
'tyed', # 0x8b
'tyel', # 0x8c
'tyelg', # 0x8d
'tyelm', # 0x8e
'tyelb', # 0x8f
'tyels', # 0x90
'tyelt', # 0x91
'tyelp', # 0x92
'tyelh', # 0x93
'tyem', # 0x94
'tyeb', # 0x95
'tyebs', # 0x96
'tyes', # 0x97
'tyess', # 0x98
'tyeng', # 0x99
'tyej', # 0x9a
'tyec', # 0x9b
'tyek', # 0x9c
'tyet', # 0x9d
'tyep', # 0x9e
'tyeh', # 0x9f
'to', # 0xa0
'tog', # 0xa1
'togg', # 0xa2
'togs', # 0xa3
'ton', # 0xa4
'tonj', # 0xa5
'tonh', # 0xa6
'tod', # 0xa7
'tol', # 0xa8
'tolg', # 0xa9
'tolm', # 0xaa
'tolb', # 0xab
'tols', # 0xac
'tolt', # 0xad
'tolp', # 0xae
'tolh', # 0xaf
'tom', # 0xb0
'tob', # 0xb1
'tobs', # 0xb2
'tos', # 0xb3
'toss', # 0xb4
'tong', # 0xb5
'toj', # 0xb6
'toc', # 0xb7
'tok', # 0xb8
'tot', # 0xb9
'top', # 0xba
'toh', # 0xbb
'twa', # 0xbc
'twag', # 0xbd
'twagg', # 0xbe
'twags', # 0xbf
'twan', # 0xc0
'twanj', # 0xc1
'twanh', # 0xc2
'twad', # 0xc3
'twal', # 0xc4
'twalg', # 0xc5
'twalm', # 0xc6
'twalb', # 0xc7
'twals', # 0xc8
'twalt', # 0xc9
'twalp', # 0xca
'twalh', # 0xcb
'twam', # 0xcc
'twab', # 0xcd
'twabs', # 0xce
'twas', # 0xcf
'twass', # 0xd0
'twang', # 0xd1
'twaj', # 0xd2
'twac', # 0xd3
'twak', # 0xd4
'twat', # 0xd5
'twap', # 0xd6
'twah', # 0xd7
'twae', # 0xd8
'twaeg', # 0xd9
'twaegg', # 0xda
'twaegs', # 0xdb
'twaen', # 0xdc
'twaenj', # 0xdd
'twaenh', # 0xde
'twaed', # 0xdf
'twael', # 0xe0
'twaelg', # 0xe1
'twaelm', # 0xe2
'twaelb', # 0xe3
'twaels', # 0xe4
'twaelt', # 0xe5
'twaelp', # 0xe6
'twaelh', # 0xe7
'twaem', # 0xe8
'twaeb', # 0xe9
'twaebs', # 0xea
'twaes', # 0xeb
'twaess', # 0xec
'twaeng', # 0xed
'twaej', # 0xee
'twaec', # 0xef
'twaek', # 0xf0
'twaet', # 0xf1
'twaep', # 0xf2
'twaeh', # 0xf3
'toe', # 0xf4
'toeg', # 0xf5
'toegg', # 0xf6
'toegs', # 0xf7
'toen', # 0xf8
'toenj', # 0xf9
'toenh', # 0xfa
'toed', # 0xfb
'toel', # 0xfc
'toelg', # 0xfd
'toelm', # 0xfe
'toelb', # 0xff
)
x0d2 = (
'toels', # 0x00
'toelt', # 0x01
'toelp', # 0x02
'toelh', # 0x03
'toem', # 0x04
'toeb', # 0x05
'toebs', # 0x06
'toes', # 0x07
'toess', # 0x08
'toeng', # 0x09
'toej', # 0x0a
'toec', # 0x0b
'toek', # 0x0c
'toet', # 0x0d
'toep', # 0x0e
'toeh', # 0x0f
'tyo', # 0x10
'tyog', # 0x11
'tyogg', # 0x12
'tyogs', # 0x13
'tyon', # 0x14
'tyonj', # 0x15
'tyonh', # 0x16
'tyod', # 0x17
'tyol', # 0x18
'tyolg', # 0x19
'tyolm', # 0x1a
'tyolb', # 0x1b
'tyols', # 0x1c
'tyolt', # 0x1d
'tyolp', # 0x1e
'tyolh', # 0x1f
'tyom', # 0x20
'tyob', # 0x21
'tyobs', # 0x22
'tyos', # 0x23
'tyoss', # 0x24
'tyong', # 0x25
'tyoj', # 0x26
'tyoc', # 0x27
'tyok', # 0x28
'tyot', # 0x29
'tyop', # 0x2a
'tyoh', # 0x2b
'tu', # 0x2c
'tug', # 0x2d
'tugg', # 0x2e
'tugs', # 0x2f
'tun', # 0x30
'tunj', # 0x31
'tunh', # 0x32
'tud', # 0x33
'tul', # 0x34
'tulg', # 0x35
'tulm', # 0x36
'tulb', # 0x37
'tuls', # 0x38
'tult', # 0x39
'tulp', # 0x3a
'tulh', # 0x3b
'tum', # 0x3c
'tub', # 0x3d
'tubs', # 0x3e
'tus', # 0x3f
'tuss', # 0x40
'tung', # 0x41
'tuj', # 0x42
'tuc', # 0x43
'tuk', # 0x44
'tut', # 0x45
'tup', # 0x46
'tuh', # 0x47
'tweo', # 0x48
'tweog', # 0x49
'tweogg', # 0x4a
'tweogs', # 0x4b
'tweon', # 0x4c
'tweonj', # 0x4d
'tweonh', # 0x4e
'tweod', # 0x4f
'tweol', # 0x50
'tweolg', # 0x51
'tweolm', # 0x52
'tweolb', # 0x53
'tweols', # 0x54
'tweolt', # 0x55
'tweolp', # 0x56
'tweolh', # 0x57
'tweom', # 0x58
'tweob', # 0x59
'tweobs', # 0x5a
'tweos', # 0x5b
'tweoss', # 0x5c
'tweong', # 0x5d
'tweoj', # 0x5e
'tweoc', # 0x5f
'tweok', # 0x60
'tweot', # 0x61
'tweop', # 0x62
'tweoh', # 0x63
'twe', # 0x64
'tweg', # 0x65
'twegg', # 0x66
'twegs', # 0x67
'twen', # 0x68
'twenj', # 0x69
'twenh', # 0x6a
'twed', # 0x6b
'twel', # 0x6c
'twelg', # 0x6d
'twelm', # 0x6e
'twelb', # 0x6f
'twels', # 0x70
'twelt', # 0x71
'twelp', # 0x72
'twelh', # 0x73
'twem', # 0x74
'tweb', # 0x75
'twebs', # 0x76
'twes', # 0x77
'twess', # 0x78
'tweng', # 0x79
'twej', # 0x7a
'twec', # 0x7b
'twek', # 0x7c
'twet', # 0x7d
'twep', # 0x7e
'tweh', # 0x7f
'twi', # 0x80
'twig', # 0x81
'twigg', # 0x82
'twigs', # 0x83
'twin', # 0x84
'twinj', # 0x85
'twinh', # 0x86
'twid', # 0x87
'twil', # 0x88
'twilg', # 0x89
'twilm', # 0x8a
'twilb', # 0x8b
'twils', # 0x8c
'twilt', # 0x8d
'twilp', # 0x8e
'twilh', # 0x8f
'twim', # 0x90
'twib', # 0x91
'twibs', # 0x92
'twis', # 0x93
'twiss', # 0x94
'twing', # 0x95
'twij', # 0x96
'twic', # 0x97
'twik', # 0x98
'twit', # 0x99
'twip', # 0x9a
'twih', # 0x9b
'tyu', # 0x9c
'tyug', # 0x9d
'tyugg', # 0x9e
'tyugs', # 0x9f
'tyun', # 0xa0
'tyunj', # 0xa1
'tyunh', # 0xa2
'tyud', # 0xa3
'tyul', # 0xa4
'tyulg', # 0xa5
'tyulm', # 0xa6
'tyulb', # 0xa7
'tyuls', # 0xa8
'tyult', # 0xa9
'tyulp', # 0xaa
'tyulh', # 0xab
'tyum', # 0xac
'tyub', # 0xad
'tyubs', # 0xae
'tyus', # 0xaf
'tyuss', # 0xb0
'tyung', # 0xb1
'tyuj', # 0xb2
'tyuc', # 0xb3
'tyuk', # 0xb4
'tyut', # 0xb5
'tyup', # 0xb6
'tyuh', # 0xb7
'teu', # 0xb8
'teug', # 0xb9
'teugg', # 0xba
'teugs', # 0xbb
'teun', # 0xbc
'teunj', # 0xbd
'teunh', # 0xbe
'teud', # 0xbf
'teul', # 0xc0
'teulg', # 0xc1
'teulm', # 0xc2
'teulb', # 0xc3
'teuls', # 0xc4
'teult', # 0xc5
'teulp', # 0xc6
'teulh', # 0xc7
'teum', # 0xc8
'teub', # 0xc9
'teubs', # 0xca
'teus', # 0xcb
'teuss', # 0xcc
'teung', # 0xcd
'teuj', # 0xce
'teuc', # 0xcf
'teuk', # 0xd0
'teut', # 0xd1
'teup', # 0xd2
'teuh', # 0xd3
'tyi', # 0xd4
'tyig', # 0xd5
'tyigg', # 0xd6
'tyigs', # 0xd7
'tyin', # 0xd8
'tyinj', # 0xd9
'tyinh', # 0xda
'tyid', # 0xdb
'tyil', # 0xdc
'tyilg', # 0xdd
'tyilm', # 0xde
'tyilb', # 0xdf
'tyils', # 0xe0
'tyilt', # 0xe1
'tyilp', # 0xe2
'tyilh', # 0xe3
'tyim', # 0xe4
'tyib', # 0xe5
'tyibs', # 0xe6
'tyis', # 0xe7
'tyiss', # 0xe8
'tying', # 0xe9
'tyij', # 0xea
'tyic', # 0xeb
'tyik', # 0xec
'tyit', # 0xed
'tyip', # 0xee
'tyih', # 0xef
'ti', # 0xf0
'tig', # 0xf1
'tigg', # 0xf2
'tigs', # 0xf3
'tin', # 0xf4
'tinj', # 0xf5
'tinh', # 0xf6
'tid', # 0xf7
'til', # 0xf8
'tilg', # 0xf9
'tilm', # 0xfa
'tilb', # 0xfb
'tils', # 0xfc
'tilt', # 0xfd
'tilp', # 0xfe
'tilh', # 0xff
)
x0d3 = (
'tim', # 0x00
'tib', # 0x01
'tibs', # 0x02
'tis', # 0x03
'tiss', # 0x04
'ting', # 0x05
'tij', # 0x06
'tic', # 0x07
'tik', # 0x08
'tit', # 0x09
'tip', # 0x0a
'tih', # 0x0b
'pa', # 0x0c
'pag', # 0x0d
'pagg', # 0x0e
'pags', # 0x0f
'pan', # 0x10
'panj', # 0x11
'panh', # 0x12
'pad', # 0x13
'pal', # 0x14
'palg', # 0x15
'palm', # 0x16
'palb', # 0x17
'pals', # 0x18
'palt', # 0x19
'palp', # 0x1a
'palh', # 0x1b
'pam', # 0x1c
'pab', # 0x1d
'pabs', # 0x1e
'pas', # 0x1f
'pass', # 0x20
'pang', # 0x21
'paj', # 0x22
'pac', # 0x23
'pak', # 0x24
'pat', # 0x25
'pap', # 0x26
'pah', # 0x27
'pae', # 0x28
'paeg', # 0x29
'paegg', # 0x2a
'paegs', # 0x2b
'paen', # 0x2c
'paenj', # 0x2d
'paenh', # 0x2e
'paed', # 0x2f
'pael', # 0x30
'paelg', # 0x31
'paelm', # 0x32
'paelb', # 0x33
'paels', # 0x34
'paelt', # 0x35
'paelp', # 0x36
'paelh', # 0x37
'paem', # 0x38
'paeb', # 0x39
'paebs', # 0x3a
'paes', # 0x3b
'paess', # 0x3c
'paeng', # 0x3d
'paej', # 0x3e
'paec', # 0x3f
'paek', # 0x40
'paet', # 0x41
'paep', # 0x42
'paeh', # 0x43
'pya', # 0x44
'pyag', # 0x45
'pyagg', # 0x46
'pyags', # 0x47
'pyan', # 0x48
'pyanj', # 0x49
'pyanh', # 0x4a
'pyad', # 0x4b
'pyal', # 0x4c
'pyalg', # 0x4d
'pyalm', # 0x4e
'pyalb', # 0x4f
'pyals', # 0x50
'pyalt', # 0x51
'pyalp', # 0x52
'pyalh', # 0x53
'pyam', # 0x54
'pyab', # 0x55
'pyabs', # 0x56
'pyas', # 0x57
'pyass', # 0x58
'pyang', # 0x59
'pyaj', # 0x5a
'pyac', # 0x5b
'pyak', # 0x5c
'pyat', # 0x5d
'pyap', # 0x5e
'pyah', # 0x5f
'pyae', # 0x60
'pyaeg', # 0x61
'pyaegg', # 0x62
'pyaegs', # 0x63
'pyaen', # 0x64
'pyaenj', # 0x65
'pyaenh', # 0x66
'pyaed', # 0x67
'pyael', # 0x68
'pyaelg', # 0x69
'pyaelm', # 0x6a
'pyaelb', # 0x6b
'pyaels', # 0x6c
'pyaelt', # 0x6d
'pyaelp', # 0x6e
'pyaelh', # 0x6f
'pyaem', # 0x70
'pyaeb', # 0x71
'pyaebs', # 0x72
'pyaes', # 0x73
'pyaess', # 0x74
'pyaeng', # 0x75
'pyaej', # 0x76
'pyaec', # 0x77
'pyaek', # 0x78
'pyaet', # 0x79
'pyaep', # 0x7a
'pyaeh', # 0x7b
'peo', # 0x7c
'peog', # 0x7d
'peogg', # 0x7e
'peogs', # 0x7f
'peon', # 0x80
'peonj', # 0x81
'peonh', # 0x82
'peod', # 0x83
'peol', # 0x84
'peolg', # 0x85
'peolm', # 0x86
'peolb', # 0x87
'peols', # 0x88
'peolt', # 0x89
'peolp', # 0x8a
'peolh', # 0x8b
'peom', # 0x8c
'peob', # 0x8d
'peobs', # 0x8e
'peos', # 0x8f
'peoss', # 0x90
'peong', # 0x91
'peoj', # 0x92
'peoc', # 0x93
'peok', # 0x94
'peot', # 0x95
'peop', # 0x96
'peoh', # 0x97
'pe', # 0x98
'peg', # 0x99
'pegg', # 0x9a
'pegs', # 0x9b
'pen', # 0x9c
'penj', # 0x9d
'penh', # 0x9e
'ped', # 0x9f
'pel', # 0xa0
'pelg', # 0xa1
'pelm', # 0xa2
'pelb', # 0xa3
'pels', # 0xa4
'pelt', # 0xa5
'pelp', # 0xa6
'pelh', # 0xa7
'pem', # 0xa8
'peb', # 0xa9
'pebs', # 0xaa
'pes', # 0xab
'pess', # 0xac
'peng', # 0xad
'pej', # 0xae
'pec', # 0xaf
'pek', # 0xb0
'pet', # 0xb1
'pep', # 0xb2
'peh', # 0xb3
'pyeo', # 0xb4
'pyeog', # 0xb5
'pyeogg', # 0xb6
'pyeogs', # 0xb7
'pyeon', # 0xb8
'pyeonj', # 0xb9
'pyeonh', # 0xba
'pyeod', # 0xbb
'pyeol', # 0xbc
'pyeolg', # 0xbd
'pyeolm', # 0xbe
'pyeolb', # 0xbf
'pyeols', # 0xc0
'pyeolt', # 0xc1
'pyeolp', # 0xc2
'pyeolh', # 0xc3
'pyeom', # 0xc4
'pyeob', # 0xc5
'pyeobs', # 0xc6
'pyeos', # 0xc7
'pyeoss', # 0xc8
'pyeong', # 0xc9
'pyeoj', # 0xca
'pyeoc', # 0xcb
'pyeok', # 0xcc
'pyeot', # 0xcd
'pyeop', # 0xce
'pyeoh', # 0xcf
'pye', # 0xd0
'pyeg', # 0xd1
'pyegg', # 0xd2
'pyegs', # 0xd3
'pyen', # 0xd4
'pyenj', # 0xd5
'pyenh', # 0xd6
'pyed', # 0xd7
'pyel', # 0xd8
'pyelg', # 0xd9
'pyelm', # 0xda
'pyelb', # 0xdb
'pyels', # 0xdc
'pyelt', # 0xdd
'pyelp', # 0xde
'pyelh', # 0xdf
'pyem', # 0xe0
'pyeb', # 0xe1
'pyebs', # 0xe2
'pyes', # 0xe3
'pyess', # 0xe4
'pyeng', # 0xe5
'pyej', # 0xe6
'pyec', # 0xe7
'pyek', # 0xe8
'pyet', # 0xe9
'pyep', # 0xea
'pyeh', # 0xeb
'po', # 0xec
'pog', # 0xed
'pogg', # 0xee
'pogs', # 0xef
'pon', # 0xf0
'ponj', # 0xf1
'ponh', # 0xf2
'pod', # 0xf3
'pol', # 0xf4
'polg', # 0xf5
'polm', # 0xf6
'polb', # 0xf7
'pols', # 0xf8
'polt', # 0xf9
'polp', # 0xfa
'polh', # 0xfb
'pom', # 0xfc
'pob', # 0xfd
'pobs', # 0xfe
'pos', # 0xff
)
x0d4 = (
'poss', # 0x00
'pong', # 0x01
'poj', # 0x02
'poc', # 0x03
'pok', # 0x04
'pot', # 0x05
'pop', # 0x06
'poh', # 0x07
'pwa', # 0x08
'pwag', # 0x09
'pwagg', # 0x0a
'pwags', # 0x0b
'pwan', # 0x0c
'pwanj', # 0x0d
'pwanh', # 0x0e
'pwad', # 0x0f
'pwal', # 0x10
'pwalg', # 0x11
'pwalm', # 0x12
'pwalb', # 0x13
'pwals', # 0x14
'pwalt', # 0x15
'pwalp', # 0x16
'pwalh', # 0x17
'pwam', # 0x18
'pwab', # 0x19
'pwabs', # 0x1a
'pwas', # 0x1b
'pwass', # 0x1c
'pwang', # 0x1d
'pwaj', # 0x1e
'pwac', # 0x1f
'pwak', # 0x20
'pwat', # 0x21
'pwap', # 0x22
'pwah', # 0x23
'pwae', # 0x24
'pwaeg', # 0x25
'pwaegg', # 0x26
'pwaegs', # 0x27
'pwaen', # 0x28
'pwaenj', # 0x29
'pwaenh', # 0x2a
'pwaed', # 0x2b
'pwael', # 0x2c
'pwaelg', # 0x2d
'pwaelm', # 0x2e
'pwaelb', # 0x2f
'pwaels', # 0x30
'pwaelt', # 0x31
'pwaelp', # 0x32
'pwaelh', # 0x33
'pwaem', # 0x34
'pwaeb', # 0x35
'pwaebs', # 0x36
'pwaes', # 0x37
'pwaess', # 0x38
'pwaeng', # 0x39
'pwaej', # 0x3a
'pwaec', # 0x3b
'pwaek', # 0x3c
'pwaet', # 0x3d
'pwaep', # 0x3e
'pwaeh', # 0x3f
'poe', # 0x40
'poeg', # 0x41
'poegg', # 0x42
'poegs', # 0x43
'poen', # 0x44
'poenj', # 0x45
'poenh', # 0x46
'poed', # 0x47
'poel', # 0x48
'poelg', # 0x49
'poelm', # 0x4a
'poelb', # 0x4b
'poels', # 0x4c
'poelt', # 0x4d
'poelp', # 0x4e
'poelh', # 0x4f
'poem', # 0x50
'poeb', # 0x51
'poebs', # 0x52
'poes', # 0x53
'poess', # 0x54
'poeng', # 0x55
'poej', # 0x56
'poec', # 0x57
'poek', # 0x58
'poet', # 0x59
'poep', # 0x5a
'poeh', # 0x5b
'pyo', # 0x5c
'pyog', # 0x5d
'pyogg', # 0x5e
'pyogs', # 0x5f
'pyon', # 0x60
'pyonj', # 0x61
'pyonh', # 0x62
'pyod', # 0x63
'pyol', # 0x64
'pyolg', # 0x65
'pyolm', # 0x66
'pyolb', # 0x67
'pyols', # 0x68
'pyolt', # 0x69
'pyolp', # 0x6a
'pyolh', # 0x6b
'pyom', # 0x6c
'pyob', # 0x6d
'pyobs', # 0x6e
'pyos', # 0x6f
'pyoss', # 0x70
'pyong', # 0x71
'pyoj', # 0x72
'pyoc', # 0x73
'pyok', # 0x74
'pyot', # 0x75
'pyop', # 0x76
'pyoh', # 0x77
'pu', # 0x78
'pug', # 0x79
'pugg', # 0x7a
'pugs', # 0x7b
'pun', # 0x7c
'punj', # 0x7d
'punh', # 0x7e
'pud', # 0x7f
'pul', # 0x80
'pulg', # 0x81
'pulm', # 0x82
'pulb', # 0x83
'puls', # 0x84
'pult', # 0x85
'pulp', # 0x86
'pulh', # 0x87
'pum', # 0x88
'pub', # 0x89
'pubs', # 0x8a
'pus', # 0x8b
'puss', # 0x8c
'pung', # 0x8d
'puj', # 0x8e
'puc', # 0x8f
'puk', # 0x90
'put', # 0x91
'pup', # 0x92
'puh', # 0x93
'pweo', # 0x94
'pweog', # 0x95
'pweogg', # 0x96
'pweogs', # 0x97
'pweon', # 0x98
'pweonj', # 0x99
'pweonh', # 0x9a
'pweod', # 0x9b
'pweol', # 0x9c
'pweolg', # 0x9d
'pweolm', # 0x9e
'pweolb', # 0x9f
'pweols', # 0xa0
'pweolt', # 0xa1
'pweolp', # 0xa2
'pweolh', # 0xa3
'pweom', # 0xa4
'pweob', # 0xa5
'pweobs', # 0xa6
'pweos', # 0xa7
'pweoss', # 0xa8
'pweong', # 0xa9
'pweoj', # 0xaa
'pweoc', # 0xab
'pweok', # 0xac
'pweot', # 0xad
'pweop', # 0xae
'pweoh', # 0xaf
'pwe', # 0xb0
'pweg', # 0xb1
'pwegg', # 0xb2
'pwegs', # 0xb3
'pwen', # 0xb4
'pwenj', # 0xb5
'pwenh', # 0xb6
'pwed', # 0xb7
'pwel', # 0xb8
'pwelg', # 0xb9
'pwelm', # 0xba
'pwelb', # 0xbb
'pwels', # 0xbc
'pwelt', # 0xbd
'pwelp', # 0xbe
'pwelh', # 0xbf
'pwem', # 0xc0
'pweb', # 0xc1
'pwebs', # 0xc2
'pwes', # 0xc3
'pwess', # 0xc4
'pweng', # 0xc5
'pwej', # 0xc6
'pwec', # 0xc7
'pwek', # 0xc8
'pwet', # 0xc9
'pwep', # 0xca
'pweh', # 0xcb
'pwi', # 0xcc
'pwig', # 0xcd
'pwigg', # 0xce
'pwigs', # 0xcf
'pwin', # 0xd0
'pwinj', # 0xd1
'pwinh', # 0xd2
'pwid', # 0xd3
'pwil', # 0xd4
'pwilg', # 0xd5
'pwilm', # 0xd6
'pwilb', # 0xd7
'pwils', # 0xd8
'pwilt', # 0xd9
'pwilp', # 0xda
'pwilh', # 0xdb
'pwim', # 0xdc
'pwib', # 0xdd
'pwibs', # 0xde
'pwis', # 0xdf
'pwiss', # 0xe0
'pwing', # 0xe1
'pwij', # 0xe2
'pwic', # 0xe3
'pwik', # 0xe4
'pwit', # 0xe5
'pwip', # 0xe6
'pwih', # 0xe7
'pyu', # 0xe8
'pyug', # 0xe9
'pyugg', # 0xea
'pyugs', # 0xeb
'pyun', # 0xec
'pyunj', # 0xed
'pyunh', # 0xee
'pyud', # 0xef
'pyul', # 0xf0
'pyulg', # 0xf1
'pyulm', # 0xf2
'pyulb', # 0xf3
'pyuls', # 0xf4
'pyult', # 0xf5
'pyulp', # 0xf6
'pyulh', # 0xf7
'pyum', # 0xf8
'pyub', # 0xf9
'pyubs', # 0xfa
'pyus', # 0xfb
'pyuss', # 0xfc
'pyung', # 0xfd
'pyuj', # 0xfe
'pyuc', # 0xff
)
x0d5 = (
'pyuk', # 0x00
'pyut', # 0x01
'pyup', # 0x02
'pyuh', # 0x03
'peu', # 0x04
'peug', # 0x05
'peugg', # 0x06
'peugs', # 0x07
'peun', # 0x08
'peunj', # 0x09
'peunh', # 0x0a
'peud', # 0x0b
'peul', # 0x0c
'peulg', # 0x0d
'peulm', # 0x0e
'peulb', # 0x0f
'peuls', # 0x10
'peult', # 0x11
'peulp', # 0x12
'peulh', # 0x13
'peum', # 0x14
'peub', # 0x15
'peubs', # 0x16
'peus', # 0x17
'peuss', # 0x18
'peung', # 0x19
'peuj', # 0x1a
'peuc', # 0x1b
'peuk', # 0x1c
'peut', # 0x1d
'peup', # 0x1e
'peuh', # 0x1f
'pyi', # 0x20
'pyig', # 0x21
'pyigg', # 0x22
'pyigs', # 0x23
'pyin', # 0x24
'pyinj', # 0x25
'pyinh', # 0x26
'pyid', # 0x27
'pyil', # 0x28
'pyilg', # 0x29
'pyilm', # 0x2a
'pyilb', # 0x2b
'pyils', # 0x2c
'pyilt', # 0x2d
'pyilp', # 0x2e
'pyilh', # 0x2f
'pyim', # 0x30
'pyib', # 0x31
'pyibs', # 0x32
'pyis', # 0x33
'pyiss', # 0x34
'pying', # 0x35
'pyij', # 0x36
'pyic', # 0x37
'pyik', # 0x38
'pyit', # 0x39
'pyip', # 0x3a
'pyih', # 0x3b
'pi', # 0x3c
'pig', # 0x3d
'pigg', # 0x3e
'pigs', # 0x3f
'pin', # 0x40
'pinj', # 0x41
'pinh', # 0x42
'pid', # 0x43
'pil', # 0x44
'pilg', # 0x45
'pilm', # 0x46
'pilb', # 0x47
'pils', # 0x48
'pilt', # 0x49
'pilp', # 0x4a
'pilh', # 0x4b
'pim', # 0x4c
'pib', # 0x4d
'pibs', # 0x4e
'pis', # 0x4f
'piss', # 0x50
'ping', # 0x51
'pij', # 0x52
'pic', # 0x53
'pik', # 0x54
'pit', # 0x55
'pip', # 0x56
'pih', # 0x57
'ha', # 0x58
'hag', # 0x59
'hagg', # 0x5a
'hags', # 0x5b
'han', # 0x5c
'hanj', # 0x5d
'hanh', # 0x5e
'had', # 0x5f
'hal', # 0x60
'halg', # 0x61
'halm', # 0x62
'halb', # 0x63
'hals', # 0x64
'halt', # 0x65
'halp', # 0x66
'halh', # 0x67
'ham', # 0x68
'hab', # 0x69
'habs', # 0x6a
'has', # 0x6b
'hass', # 0x6c
'hang', # 0x6d
'haj', # 0x6e
'hac', # 0x6f
'hak', # 0x70
'hat', # 0x71
'hap', # 0x72
'hah', # 0x73
'hae', # 0x74
'haeg', # 0x75
'haegg', # 0x76
'haegs', # 0x77
'haen', # 0x78
'haenj', # 0x79
'haenh', # 0x7a
'haed', # 0x7b
'hael', # 0x7c
'haelg', # 0x7d
'haelm', # 0x7e
'haelb', # 0x7f
'haels', # 0x80
'haelt', # 0x81
'haelp', # 0x82
'haelh', # 0x83
'haem', # 0x84
'haeb', # 0x85
'haebs', # 0x86
'haes', # 0x87
'haess', # 0x88
'haeng', # 0x89
'haej', # 0x8a
'haec', # 0x8b
'haek', # 0x8c
'haet', # 0x8d
'haep', # 0x8e
'haeh', # 0x8f
'hya', # 0x90
'hyag', # 0x91
'hyagg', # 0x92
'hyags', # 0x93
'hyan', # 0x94
'hyanj', # 0x95
'hyanh', # 0x96
'hyad', # 0x97
'hyal', # 0x98
'hyalg', # 0x99
'hyalm', # 0x9a
'hyalb', # 0x9b
'hyals', # 0x9c
'hyalt', # 0x9d
'hyalp', # 0x9e
'hyalh', # 0x9f
'hyam', # 0xa0
'hyab', # 0xa1
'hyabs', # 0xa2
'hyas', # 0xa3
'hyass', # 0xa4
'hyang', # 0xa5
'hyaj', # 0xa6
'hyac', # 0xa7
'hyak', # 0xa8
'hyat', # 0xa9
'hyap', # 0xaa
'hyah', # 0xab
'hyae', # 0xac
'hyaeg', # 0xad
'hyaegg', # 0xae
'hyaegs', # 0xaf
'hyaen', # 0xb0
'hyaenj', # 0xb1
'hyaenh', # 0xb2
'hyaed', # 0xb3
'hyael', # 0xb4
'hyaelg', # 0xb5
'hyaelm', # 0xb6
'hyaelb', # 0xb7
'hyaels', # 0xb8
'hyaelt', # 0xb9
'hyaelp', # 0xba
'hyaelh', # 0xbb
'hyaem', # 0xbc
'hyaeb', # 0xbd
'hyaebs', # 0xbe
'hyaes', # 0xbf
'hyaess', # 0xc0
'hyaeng', # 0xc1
'hyaej', # 0xc2
'hyaec', # 0xc3
'hyaek', # 0xc4
'hyaet', # 0xc5
'hyaep', # 0xc6
'hyaeh', # 0xc7
'heo', # 0xc8
'heog', # 0xc9
'heogg', # 0xca
'heogs', # 0xcb
'heon', # 0xcc
'heonj', # 0xcd
'heonh', # 0xce
'heod', # 0xcf
'heol', # 0xd0
'heolg', # 0xd1
'heolm', # 0xd2
'heolb', # 0xd3
'heols', # 0xd4
'heolt', # 0xd5
'heolp', # 0xd6
'heolh', # 0xd7
'heom', # 0xd8
'heob', # 0xd9
'heobs', # 0xda
'heos', # 0xdb
'heoss', # 0xdc
'heong', # 0xdd
'heoj', # 0xde
'heoc', # 0xdf
'heok', # 0xe0
'heot', # 0xe1
'heop', # 0xe2
'heoh', # 0xe3
'he', # 0xe4
'heg', # 0xe5
'hegg', # 0xe6
'hegs', # 0xe7
'hen', # 0xe8
'henj', # 0xe9
'henh', # 0xea
'hed', # 0xeb
'hel', # 0xec
'helg', # 0xed
'helm', # 0xee
'helb', # 0xef
'hels', # 0xf0
'helt', # 0xf1
'help', # 0xf2
'helh', # 0xf3
'hem', # 0xf4
'heb', # 0xf5
'hebs', # 0xf6
'hes', # 0xf7
'hess', # 0xf8
'heng', # 0xf9
'hej', # 0xfa
'hec', # 0xfb
'hek', # 0xfc
'het', # 0xfd
'hep', # 0xfe
'heh', # 0xff
)
x0d6 = (
'hyeo', # 0x00
'hyeog', # 0x01
'hyeogg', # 0x02
'hyeogs', # 0x03
'hyeon', # 0x04
'hyeonj', # 0x05
'hyeonh', # 0x06
'hyeod', # 0x07
'hyeol', # 0x08
'hyeolg', # 0x09
'hyeolm', # 0x0a
'hyeolb', # 0x0b
'hyeols', # 0x0c
'hyeolt', # 0x0d
'hyeolp', # 0x0e
'hyeolh', # 0x0f
'hyeom', # 0x10
'hyeob', # 0x11
'hyeobs', # 0x12
'hyeos', # 0x13
'hyeoss', # 0x14
'hyeong', # 0x15
'hyeoj', # 0x16
'hyeoc', # 0x17
'hyeok', # 0x18
'hyeot', # 0x19
'hyeop', # 0x1a
'hyeoh', # 0x1b
'hye', # 0x1c
'hyeg', # 0x1d
'hyegg', # 0x1e
'hyegs', # 0x1f
'hyen', # 0x20
'hyenj', # 0x21
'hyenh', # 0x22
'hyed', # 0x23
'hyel', # 0x24
'hyelg', # 0x25
'hyelm', # 0x26
'hyelb', # 0x27
'hyels', # 0x28
'hyelt', # 0x29
'hyelp', # 0x2a
'hyelh', # 0x2b
'hyem', # 0x2c
'hyeb', # 0x2d
'hyebs', # 0x2e
'hyes', # 0x2f
'hyess', # 0x30
'hyeng', # 0x31
'hyej', # 0x32
'hyec', # 0x33
'hyek', # 0x34
'hyet', # 0x35
'hyep', # 0x36
'hyeh', # 0x37
'ho', # 0x38
'hog', # 0x39
'hogg', # 0x3a
'hogs', # 0x3b
'hon', # 0x3c
'honj', # 0x3d
'honh', # 0x3e
'hod', # 0x3f
'hol', # 0x40
'holg', # 0x41
'holm', # 0x42
'holb', # 0x43
'hols', # 0x44
'holt', # 0x45
'holp', # 0x46
'holh', # 0x47
'hom', # 0x48
'hob', # 0x49
'hobs', # 0x4a
'hos', # 0x4b
'hoss', # 0x4c
'hong', # 0x4d
'hoj', # 0x4e
'hoc', # 0x4f
'hok', # 0x50
'hot', # 0x51
'hop', # 0x52
'hoh', # 0x53
'hwa', # 0x54
'hwag', # 0x55
'hwagg', # 0x56
'hwags', # 0x57
'hwan', # 0x58
'hwanj', # 0x59
'hwanh', # 0x5a
'hwad', # 0x5b
'hwal', # 0x5c
'hwalg', # 0x5d
'hwalm', # 0x5e
'hwalb', # 0x5f
'hwals', # 0x60
'hwalt', # 0x61
'hwalp', # 0x62
'hwalh', # 0x63
'hwam', # 0x64
'hwab', # 0x65
'hwabs', # 0x66
'hwas', # 0x67
'hwass', # 0x68
'hwang', # 0x69
'hwaj', # 0x6a
'hwac', # 0x6b
'hwak', # 0x6c
'hwat', # 0x6d
'hwap', # 0x6e
'hwah', # 0x6f
'hwae', # 0x70
'hwaeg', # 0x71
'hwaegg', # 0x72
'hwaegs', # 0x73
'hwaen', # 0x74
'hwaenj', # 0x75
'hwaenh', # 0x76
'hwaed', # 0x77
'hwael', # 0x78
'hwaelg', # 0x79
'hwaelm', # 0x7a
'hwaelb', # 0x7b
'hwaels', # 0x7c
'hwaelt', # 0x7d
'hwaelp', # 0x7e
'hwaelh', # 0x7f
'hwaem', # 0x80
'hwaeb', # 0x81
'hwaebs', # 0x82
'hwaes', # 0x83
'hwaess', # 0x84
'hwaeng', # 0x85
'hwaej', # 0x86
'hwaec', # 0x87
'hwaek', # 0x88
'hwaet', # 0x89
'hwaep', # 0x8a
'hwaeh', # 0x8b
'hoe', # 0x8c
'hoeg', # 0x8d
'hoegg', # 0x8e
'hoegs', # 0x8f
'hoen', # 0x90
'hoenj', # 0x91
'hoenh', # 0x92
'hoed', # 0x93
'hoel', # 0x94
'hoelg', # 0x95
'hoelm', # 0x96
'hoelb', # 0x97
'hoels', # 0x98
'hoelt', # 0x99
'hoelp', # 0x9a
'hoelh', # 0x9b
'hoem', # 0x9c
'hoeb', # 0x9d
'hoebs', # 0x9e
'hoes', # 0x9f
'hoess', # 0xa0
'hoeng', # 0xa1
'hoej', # 0xa2
'hoec', # 0xa3
'hoek', # 0xa4
'hoet', # 0xa5
'hoep', # 0xa6
'hoeh', # 0xa7
'hyo', # 0xa8
'hyog', # 0xa9
'hyogg', # 0xaa
'hyogs', # 0xab
'hyon', # 0xac
'hyonj', # 0xad
'hyonh', # 0xae
'hyod', # 0xaf
'hyol', # 0xb0
'hyolg', # 0xb1
'hyolm', # 0xb2
'hyolb', # 0xb3
'hyols', # 0xb4
'hyolt', # 0xb5
'hyolp', # 0xb6
'hyolh', # 0xb7
'hyom', # 0xb8
'hyob', # 0xb9
'hyobs', # 0xba
'hyos', # 0xbb
'hyoss', # 0xbc
'hyong', # 0xbd
'hyoj', # 0xbe
'hyoc', # 0xbf
'hyok', # 0xc0
'hyot', # 0xc1
'hyop', # 0xc2
'hyoh', # 0xc3
'hu', # 0xc4
'hug', # 0xc5
'hugg', # 0xc6
'hugs', # 0xc7
'hun', # 0xc8
'hunj', # 0xc9
'hunh', # 0xca
'hud', # 0xcb
'hul', # 0xcc
'hulg', # 0xcd
'hulm', # 0xce
'hulb', # 0xcf
'huls', # 0xd0
'hult', # 0xd1
'hulp', # 0xd2
'hulh', # 0xd3
'hum', # 0xd4
'hub', # 0xd5
'hubs', # 0xd6
'hus', # 0xd7
'huss', # 0xd8
'hung', # 0xd9
'huj', # 0xda
'huc', # 0xdb
'huk', # 0xdc
'hut', # 0xdd
'hup', # 0xde
'huh', # 0xdf
'hweo', # 0xe0
'hweog', # 0xe1
'hweogg', # 0xe2
'hweogs', # 0xe3
'hweon', # 0xe4
'hweonj', # 0xe5
'hweonh', # 0xe6
'hweod', # 0xe7
'hweol', # 0xe8
'hweolg', # 0xe9
'hweolm', # 0xea
'hweolb', # 0xeb
'hweols', # 0xec
'hweolt', # 0xed
'hweolp', # 0xee
'hweolh', # 0xef
'hweom', # 0xf0
'hweob', # 0xf1
'hweobs', # 0xf2
'hweos', # 0xf3
'hweoss', # 0xf4
'hweong', # 0xf5
'hweoj', # 0xf6
'hweoc', # 0xf7
'hweok', # 0xf8
'hweot', # 0xf9
'hweop', # 0xfa
'hweoh', # 0xfb
'hwe', # 0xfc
'hweg', # 0xfd
'hwegg', # 0xfe
'hwegs', # 0xff
)
x0d7 = (
'hwen', # 0x00
'hwenj', # 0x01
'hwenh', # 0x02
'hwed', # 0x03
'hwel', # 0x04
'hwelg', # 0x05
'hwelm', # 0x06
'hwelb', # 0x07
'hwels', # 0x08
'hwelt', # 0x09
'hwelp', # 0x0a
'hwelh', # 0x0b
'hwem', # 0x0c
'hweb', # 0x0d
'hwebs', # 0x0e
'hwes', # 0x0f
'hwess', # 0x10
'hweng', # 0x11
'hwej', # 0x12
'hwec', # 0x13
'hwek', # 0x14
'hwet', # 0x15
'hwep', # 0x16
'hweh', # 0x17
'hwi', # 0x18
'hwig', # 0x19
'hwigg', # 0x1a
'hwigs', # 0x1b
'hwin', # 0x1c
'hwinj', # 0x1d
'hwinh', # 0x1e
'hwid', # 0x1f
'hwil', # 0x20
'hwilg', # 0x21
'hwilm', # 0x22
'hwilb', # 0x23
'hwils', # 0x24
'hwilt', # 0x25
'hwilp', # 0x26
'hwilh', # 0x27
'hwim', # 0x28
'hwib', # 0x29
'hwibs', # 0x2a
'hwis', # 0x2b
'hwiss', # 0x2c
'hwing', # 0x2d
'hwij', # 0x2e
'hwic', # 0x2f
'hwik', # 0x30
'hwit', # 0x31
'hwip', # 0x32
'hwih', # 0x33
'hyu', # 0x34
'hyug', # 0x35
'hyugg', # 0x36
'hyugs', # 0x37
'hyun', # 0x38
'hyunj', # 0x39
'hyunh', # 0x3a
'hyud', # 0x3b
'hyul', # 0x3c
'hyulg', # 0x3d
'hyulm', # 0x3e
'hyulb', # 0x3f
'hyuls', # 0x40
'hyult', # 0x41
'hyulp', # 0x42
'hyulh', # 0x43
'hyum', # 0x44
'hyub', # 0x45
'hyubs', # 0x46
'hyus', # 0x47
'hyuss', # 0x48
'hyung', # 0x49
'hyuj', # 0x4a
'hyuc', # 0x4b
'hyuk', # 0x4c
'hyut', # 0x4d
'hyup', # 0x4e
'hyuh', # 0x4f
'heu', # 0x50
'heug', # 0x51
'heugg', # 0x52
'heugs', # 0x53
'heun', # 0x54
'heunj', # 0x55
'heunh', # 0x56
'heud', # 0x57
'heul', # 0x58
'heulg', # 0x59
'heulm', # 0x5a
'heulb', # 0x5b
'heuls', # 0x5c
'heult', # 0x5d
'heulp', # 0x5e
'heulh', # 0x5f
'heum', # 0x60
'heub', # 0x61
'heubs', # 0x62
'heus', # 0x63
'heuss', # 0x64
'heung', # 0x65
'heuj', # 0x66
'heuc', # 0x67
'heuk', # 0x68
'heut', # 0x69
'heup', # 0x6a
'heuh', # 0x6b
'hyi', # 0x6c
'hyig', # 0x6d
'hyigg', # 0x6e
'hyigs', # 0x6f
'hyin', # 0x70
'hyinj', # 0x71
'hyinh', # 0x72
'hyid', # 0x73
'hyil', # 0x74
'hyilg', # 0x75
'hyilm', # 0x76
'hyilb', # 0x77
'hyils', # 0x78
'hyilt', # 0x79
'hyilp', # 0x7a
'hyilh', # 0x7b
'hyim', # 0x7c
'hyib', # 0x7d
'hyibs', # 0x7e
'hyis', # 0x7f
'hyiss', # 0x80
'hying', # 0x81
'hyij', # 0x82
'hyic', # 0x83
'hyik', # 0x84
'hyit', # 0x85
'hyip', # 0x86
'hyih', # 0x87
'hi', # 0x88
'hig', # 0x89
'higg', # 0x8a
'higs', # 0x8b
'hin', # 0x8c
'hinj', # 0x8d
'hinh', # 0x8e
'hid', # 0x8f
'hil', # 0x90
'hilg', # 0x91
'hilm', # 0x92
'hilb', # 0x93
'hils', # 0x94
'hilt', # 0x95
'hilp', # 0x96
'hilh', # 0x97
'him', # 0x98
'hib', # 0x99
'hibs', # 0x9a
'his', # 0x9b
'hiss', # 0x9c
'hing', # 0x9d
'hij', # 0x9e
'hic', # 0x9f
'hik', # 0xa0
'hit', # 0xa1
'hip', # 0xa2
'hih', # 0xa3
'[?]', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x0f9 = (
'Kay ', # 0x00
'Kayng ', # 0x01
'Ke ', # 0x02
'Ko ', # 0x03
'Kol ', # 0x04
'Koc ', # 0x05
'Kwi ', # 0x06
'Kwi ', # 0x07
'Kyun ', # 0x08
'Kul ', # 0x09
'Kum ', # 0x0a
'Na ', # 0x0b
'Na ', # 0x0c
'Na ', # 0x0d
'La ', # 0x0e
'Na ', # 0x0f
'Na ', # 0x10
'Na ', # 0x11
'Na ', # 0x12
'Na ', # 0x13
'Nak ', # 0x14
'Nak ', # 0x15
'Nak ', # 0x16
'Nak ', # 0x17
'Nak ', # 0x18
'Nak ', # 0x19
'Nak ', # 0x1a
'Nan ', # 0x1b
'Nan ', # 0x1c
'Nan ', # 0x1d
'Nan ', # 0x1e
'Nan ', # 0x1f
'Nan ', # 0x20
'Nam ', # 0x21
'Nam ', # 0x22
'Nam ', # 0x23
'Nam ', # 0x24
'Nap ', # 0x25
'Nap ', # 0x26
'Nap ', # 0x27
'Nang ', # 0x28
'Nang ', # 0x29
'Nang ', # 0x2a
'Nang ', # 0x2b
'Nang ', # 0x2c
'Nay ', # 0x2d
'Nayng ', # 0x2e
'No ', # 0x2f
'No ', # 0x30
'No ', # 0x31
'No ', # 0x32
'No ', # 0x33
'No ', # 0x34
'No ', # 0x35
'No ', # 0x36
'No ', # 0x37
'No ', # 0x38
'No ', # 0x39
'No ', # 0x3a
'Nok ', # 0x3b
'Nok ', # 0x3c
'Nok ', # 0x3d
'Nok ', # 0x3e
'Nok ', # 0x3f
'Nok ', # 0x40
'Non ', # 0x41
'Nong ', # 0x42
'Nong ', # 0x43
'Nong ', # 0x44
'Nong ', # 0x45
'Noy ', # 0x46
'Noy ', # 0x47
'Noy ', # 0x48
'Noy ', # 0x49
'Nwu ', # 0x4a
'Nwu ', # 0x4b
'Nwu ', # 0x4c
'Nwu ', # 0x4d
'Nwu ', # 0x4e
'Nwu ', # 0x4f
'Nwu ', # 0x50
'Nwu ', # 0x51
'Nuk ', # 0x52
'Nuk ', # 0x53
'Num ', # 0x54
'Nung ', # 0x55
'Nung ', # 0x56
'Nung ', # 0x57
'Nung ', # 0x58
'Nung ', # 0x59
'Twu ', # 0x5a
'La ', # 0x5b
'Lak ', # 0x5c
'Lak ', # 0x5d
'Lan ', # 0x5e
'Lyeng ', # 0x5f
'Lo ', # 0x60
'Lyul ', # 0x61
'Li ', # 0x62
'Pey ', # 0x63
'Pen ', # 0x64
'Pyen ', # 0x65
'Pwu ', # 0x66
'Pwul ', # 0x67
'Pi ', # 0x68
'Sak ', # 0x69
'Sak ', # 0x6a
'Sam ', # 0x6b
'Sayk ', # 0x6c
'Sayng ', # 0x6d
'Sep ', # 0x6e
'Sey ', # 0x6f
'Sway ', # 0x70
'Sin ', # 0x71
'Sim ', # 0x72
'Sip ', # 0x73
'Ya ', # 0x74
'Yak ', # 0x75
'Yak ', # 0x76
'Yang ', # 0x77
'Yang ', # 0x78
'Yang ', # 0x79
'Yang ', # 0x7a
'Yang ', # 0x7b
'Yang ', # 0x7c
'Yang ', # 0x7d
'Yang ', # 0x7e
'Ye ', # 0x7f
'Ye ', # 0x80
'Ye ', # 0x81
'Ye ', # 0x82
'Ye ', # 0x83
'Ye ', # 0x84
'Ye ', # 0x85
'Ye ', # 0x86
'Ye ', # 0x87
'Ye ', # 0x88
'Ye ', # 0x89
'Yek ', # 0x8a
'Yek ', # 0x8b
'Yek ', # 0x8c
'Yek ', # 0x8d
'Yen ', # 0x8e
'Yen ', # 0x8f
'Yen ', # 0x90
'Yen ', # 0x91
'Yen ', # 0x92
'Yen ', # 0x93
'Yen ', # 0x94
'Yen ', # 0x95
'Yen ', # 0x96
'Yen ', # 0x97
'Yen ', # 0x98
'Yen ', # 0x99
'Yen ', # 0x9a
'Yen ', # 0x9b
'Yel ', # 0x9c
'Yel ', # 0x9d
'Yel ', # 0x9e
'Yel ', # 0x9f
'Yel ', # 0xa0
'Yel ', # 0xa1
'Yem ', # 0xa2
'Yem ', # 0xa3
'Yem ', # 0xa4
'Yem ', # 0xa5
'Yem ', # 0xa6
'Yep ', # 0xa7
'Yeng ', # 0xa8
'Yeng ', # 0xa9
'Yeng ', # 0xaa
'Yeng ', # 0xab
'Yeng ', # 0xac
'Yeng ', # 0xad
'Yeng ', # 0xae
'Yeng ', # 0xaf
'Yeng ', # 0xb0
'Yeng ', # 0xb1
'Yeng ', # 0xb2
'Yeng ', # 0xb3
'Yeng ', # 0xb4
'Yey ', # 0xb5
'Yey ', # 0xb6
'Yey ', # 0xb7
'Yey ', # 0xb8
'O ', # 0xb9
'Yo ', # 0xba
'Yo ', # 0xbb
'Yo ', # 0xbc
'Yo ', # 0xbd
'Yo ', # 0xbe
'Yo ', # 0xbf
'Yo ', # 0xc0
'Yo ', # 0xc1
'Yo ', # 0xc2
'Yo ', # 0xc3
'Yong ', # 0xc4
'Wun ', # 0xc5
'Wen ', # 0xc6
'Yu ', # 0xc7
'Yu ', # 0xc8
'Yu ', # 0xc9
'Yu ', # 0xca
'Yu ', # 0xcb
'Yu ', # 0xcc
'Yu ', # 0xcd
'Yu ', # 0xce
'Yu ', # 0xcf
'Yu ', # 0xd0
'Yuk ', # 0xd1
'Yuk ', # 0xd2
'Yuk ', # 0xd3
'Yun ', # 0xd4
'Yun ', # 0xd5
'Yun ', # 0xd6
'Yun ', # 0xd7
'Yul ', # 0xd8
'Yul ', # 0xd9
'Yul ', # 0xda
'Yul ', # 0xdb
'Yung ', # 0xdc
'I ', # 0xdd
'I ', # 0xde
'I ', # 0xdf
'I ', # 0xe0
'I ', # 0xe1
'I ', # 0xe2
'I ', # 0xe3
'I ', # 0xe4
'I ', # 0xe5
'I ', # 0xe6
'I ', # 0xe7
'I ', # 0xe8
'I ', # 0xe9
'I ', # 0xea
'Ik ', # 0xeb
'Ik ', # 0xec
'In ', # 0xed
'In ', # 0xee
'In ', # 0xef
'In ', # 0xf0
'In ', # 0xf1
'In ', # 0xf2
'In ', # 0xf3
'Im ', # 0xf4
'Im ', # 0xf5
'Im ', # 0xf6
'Ip ', # 0xf7
'Ip ', # 0xf8
'Ip ', # 0xf9
'Cang ', # 0xfa
'Cek ', # 0xfb
'Ci ', # 0xfc
'Cip ', # 0xfd
'Cha ', # 0xfe
'Chek ', # 0xff
)
x0fa = (
'Chey ', # 0x00
'Thak ', # 0x01
'Thak ', # 0x02
'Thang ', # 0x03
'Thayk ', # 0x04
'Thong ', # 0x05
'Pho ', # 0x06
'Phok ', # 0x07
'Hang ', # 0x08
'Hang ', # 0x09
'Hyen ', # 0x0a
'Hwak ', # 0x0b
'Wu ', # 0x0c
'Huo ', # 0x0d
'[?] ', # 0x0e
'[?] ', # 0x0f
'Zhong ', # 0x10
'[?] ', # 0x11
'Qing ', # 0x12
'[?] ', # 0x13
'[?] ', # 0x14
'Xi ', # 0x15
'Zhu ', # 0x16
'Yi ', # 0x17
'Li ', # 0x18
'Shen ', # 0x19
'Xiang ', # 0x1a
'Fu ', # 0x1b
'Jing ', # 0x1c
'Jing ', # 0x1d
'Yu ', # 0x1e
'[?] ', # 0x1f
'Hagi ', # 0x20
'[?] ', # 0x21
'Zhu ', # 0x22
'[?] ', # 0x23
'[?] ', # 0x24
'Yi ', # 0x25
'Du ', # 0x26
'[?] ', # 0x27
'[?] ', # 0x28
'[?] ', # 0x29
'Fan ', # 0x2a
'Si ', # 0x2b
'Guan ', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'[?]', # 0x30
'[?]', # 0x31
'[?]', # 0x32
'[?]', # 0x33
'[?]', # 0x34
'[?]', # 0x35
'[?]', # 0x36
'[?]', # 0x37
'[?]', # 0x38
'[?]', # 0x39
'[?]', # 0x3a
'[?]', # 0x3b
'[?]', # 0x3c
'[?]', # 0x3d
'[?]', # 0x3e
'[?]', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'[?]', # 0x50
'[?]', # 0x51
'[?]', # 0x52
'[?]', # 0x53
'[?]', # 0x54
'[?]', # 0x55
'[?]', # 0x56
'[?]', # 0x57
'[?]', # 0x58
'[?]', # 0x59
'[?]', # 0x5a
'[?]', # 0x5b
'[?]', # 0x5c
'[?]', # 0x5d
'[?]', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'[?]', # 0x61
'[?]', # 0x62
'[?]', # 0x63
'[?]', # 0x64
'[?]', # 0x65
'[?]', # 0x66
'[?]', # 0x67
'[?]', # 0x68
'[?]', # 0x69
'[?]', # 0x6a
'[?]', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'[?]', # 0x70
'[?]', # 0x71
'[?]', # 0x72
'[?]', # 0x73
'[?]', # 0x74
'[?]', # 0x75
'[?]', # 0x76
'[?]', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'[?]', # 0x81
'[?]', # 0x82
'[?]', # 0x83
'[?]', # 0x84
'[?]', # 0x85
'[?]', # 0x86
'[?]', # 0x87
'[?]', # 0x88
'[?]', # 0x89
'[?]', # 0x8a
'[?]', # 0x8b
'[?]', # 0x8c
'[?]', # 0x8d
'[?]', # 0x8e
'[?]', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'[?]', # 0x92
'[?]', # 0x93
'[?]', # 0x94
'[?]', # 0x95
'[?]', # 0x96
'[?]', # 0x97
'[?]', # 0x98
'[?]', # 0x99
'[?]', # 0x9a
'[?]', # 0x9b
'[?]', # 0x9c
'[?]', # 0x9d
'[?]', # 0x9e
'[?]', # 0x9f
'[?]', # 0xa0
'[?]', # 0xa1
'[?]', # 0xa2
'[?]', # 0xa3
'[?]', # 0xa4
'[?]', # 0xa5
'[?]', # 0xa6
'[?]', # 0xa7
'[?]', # 0xa8
'[?]', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x0fb = (
'ff', # 0x00
'fi', # 0x01
'fl', # 0x02
'ffi', # 0x03
'ffl', # 0x04
'st', # 0x05
'st', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'mn', # 0x13
'me', # 0x14
'mi', # 0x15
'vn', # 0x16
'mkh', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'yi', # 0x1d
'', # 0x1e
'ay', # 0x1f
'`', # 0x20
'', # 0x21
'd', # 0x22
'h', # 0x23
'k', # 0x24
'l', # 0x25
'm', # 0x26
'm', # 0x27
't', # 0x28
'+', # 0x29
'sh', # 0x2a
's', # 0x2b
'sh', # 0x2c
's', # 0x2d
'a', # 0x2e
'a', # 0x2f
'', # 0x30
'b', # 0x31
'g', # 0x32
'd', # 0x33
'h', # 0x34
'v', # 0x35
'z', # 0x36
'[?]', # 0x37
't', # 0x38
'y', # 0x39
'k', # 0x3a
'k', # 0x3b
'l', # 0x3c
'[?]', # 0x3d
'l', # 0x3e
'[?]', # 0x3f
'n', # 0x40
'n', # 0x41
'[?]', # 0x42
'p', # 0x43
'p', # 0x44
'[?]', # 0x45
'ts', # 0x46
'ts', # 0x47
'r', # 0x48
'sh', # 0x49
't', # 0x4a
'vo', # 0x4b
'b', # 0x4c
'k', # 0x4d
'p', # 0x4e
'l', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
'', # 0xff
)
x0fc = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
'', # 0xff
)
x0fd = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'[?]', # 0x40
'[?]', # 0x41
'[?]', # 0x42
'[?]', # 0x43
'[?]', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'[?]', # 0x49
'[?]', # 0x4a
'[?]', # 0x4b
'[?]', # 0x4c
'[?]', # 0x4d
'[?]', # 0x4e
'[?]', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'[?]', # 0x90
'[?]', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
x0fe = (
'[?]', # 0x00
'[?]', # 0x01
'[?]', # 0x02
'[?]', # 0x03
'[?]', # 0x04
'[?]', # 0x05
'[?]', # 0x06
'[?]', # 0x07
'[?]', # 0x08
'[?]', # 0x09
'[?]', # 0x0a
'[?]', # 0x0b
'[?]', # 0x0c
'[?]', # 0x0d
'[?]', # 0x0e
'[?]', # 0x0f
'[?]', # 0x10
'[?]', # 0x11
'[?]', # 0x12
'[?]', # 0x13
'[?]', # 0x14
'[?]', # 0x15
'[?]', # 0x16
'[?]', # 0x17
'[?]', # 0x18
'[?]', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'~', # 0x23
'[?]', # 0x24
'[?]', # 0x25
'[?]', # 0x26
'[?]', # 0x27
'[?]', # 0x28
'[?]', # 0x29
'[?]', # 0x2a
'[?]', # 0x2b
'[?]', # 0x2c
'[?]', # 0x2d
'[?]', # 0x2e
'[?]', # 0x2f
'..', # 0x30
'--', # 0x31
'-', # 0x32
'_', # 0x33
'_', # 0x34
'(', # 0x35
') ', # 0x36
'{', # 0x37
'} ', # 0x38
'[', # 0x39
'] ', # 0x3a
'[(', # 0x3b
')] ', # 0x3c
'<<', # 0x3d
'>> ', # 0x3e
'<', # 0x3f
'> ', # 0x40
'[', # 0x41
'] ', # 0x42
'{', # 0x43
'}', # 0x44
'[?]', # 0x45
'[?]', # 0x46
'[?]', # 0x47
'[?]', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
',', # 0x50
',', # 0x51
'.', # 0x52
'', # 0x53
';', # 0x54
':', # 0x55
'?', # 0x56
'!', # 0x57
'-', # 0x58
'(', # 0x59
')', # 0x5a
'{', # 0x5b
'}', # 0x5c
'{', # 0x5d
'}', # 0x5e
'#', # 0x5f
'&', # 0x60
'*', # 0x61
'+', # 0x62
'-', # 0x63
'<', # 0x64
'>', # 0x65
'=', # 0x66
'', # 0x67
'\\', # 0x68
'$', # 0x69
'%', # 0x6a
'@', # 0x6b
'[?]', # 0x6c
'[?]', # 0x6d
'[?]', # 0x6e
'[?]', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'[?]', # 0x73
'', # 0x74
'[?]', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'', # 0xce
'', # 0xcf
'', # 0xd0
'', # 0xd1
'', # 0xd2
'', # 0xd3
'', # 0xd4
'', # 0xd5
'', # 0xd6
'', # 0xd7
'', # 0xd8
'', # 0xd9
'', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
'', # 0xff
)
x0ff = (
'[?]', # 0x00
'!', # 0x01
'"', # 0x02
'#', # 0x03
'$', # 0x04
'%', # 0x05
'&', # 0x06
'\'', # 0x07
'(', # 0x08
')', # 0x09
'*', # 0x0a
'+', # 0x0b
',', # 0x0c
'-', # 0x0d
'.', # 0x0e
'/', # 0x0f
'0', # 0x10
'1', # 0x11
'2', # 0x12
'3', # 0x13
'4', # 0x14
'5', # 0x15
'6', # 0x16
'7', # 0x17
'8', # 0x18
'9', # 0x19
':', # 0x1a
';', # 0x1b
'<', # 0x1c
'=', # 0x1d
'>', # 0x1e
'?', # 0x1f
'@', # 0x20
'A', # 0x21
'B', # 0x22
'C', # 0x23
'D', # 0x24
'E', # 0x25
'F', # 0x26
'G', # 0x27
'H', # 0x28
'I', # 0x29
'J', # 0x2a
'K', # 0x2b
'L', # 0x2c
'M', # 0x2d
'N', # 0x2e
'O', # 0x2f
'P', # 0x30
'Q', # 0x31
'R', # 0x32
'S', # 0x33
'T', # 0x34
'U', # 0x35
'V', # 0x36
'W', # 0x37
'X', # 0x38
'Y', # 0x39
'Z', # 0x3a
'[', # 0x3b
'\\', # 0x3c
']', # 0x3d
'^', # 0x3e
'_', # 0x3f
'`', # 0x40
'a', # 0x41
'b', # 0x42
'c', # 0x43
'd', # 0x44
'e', # 0x45
'f', # 0x46
'g', # 0x47
'h', # 0x48
'i', # 0x49
'j', # 0x4a
'k', # 0x4b
'l', # 0x4c
'm', # 0x4d
'n', # 0x4e
'o', # 0x4f
'p', # 0x50
'q', # 0x51
'r', # 0x52
's', # 0x53
't', # 0x54
'u', # 0x55
'v', # 0x56
'w', # 0x57
'x', # 0x58
'y', # 0x59
'z', # 0x5a
'{', # 0x5b
'|', # 0x5c
'}', # 0x5d
'~', # 0x5e
'[?]', # 0x5f
'[?]', # 0x60
'.', # 0x61
'[', # 0x62
']', # 0x63
',', # 0x64
'*', # 0x65
'wo', # 0x66
'a', # 0x67
'i', # 0x68
'u', # 0x69
'e', # 0x6a
'o', # 0x6b
'ya', # 0x6c
'yu', # 0x6d
'yo', # 0x6e
'tu', # 0x6f
'+', # 0x70
'a', # 0x71
'i', # 0x72
'u', # 0x73
'e', # 0x74
'o', # 0x75
'ka', # 0x76
'ki', # 0x77
'ku', # 0x78
'ke', # 0x79
'ko', # 0x7a
'sa', # 0x7b
'si', # 0x7c
'su', # 0x7d
'se', # 0x7e
'so', # 0x7f
'ta', # 0x80
'ti', # 0x81
'tu', # 0x82
'te', # 0x83
'to', # 0x84
'na', # 0x85
'ni', # 0x86
'nu', # 0x87
'ne', # 0x88
'no', # 0x89
'ha', # 0x8a
'hi', # 0x8b
'hu', # 0x8c
'he', # 0x8d
'ho', # 0x8e
'ma', # 0x8f
'mi', # 0x90
'mu', # 0x91
'me', # 0x92
'mo', # 0x93
'ya', # 0x94
'yu', # 0x95
'yo', # 0x96
'ra', # 0x97
'ri', # 0x98
'ru', # 0x99
're', # 0x9a
'ro', # 0x9b
'wa', # 0x9c
'n', # 0x9d
':', # 0x9e
';', # 0x9f
'', # 0xa0
'g', # 0xa1
'gg', # 0xa2
'gs', # 0xa3
'n', # 0xa4
'nj', # 0xa5
'nh', # 0xa6
'd', # 0xa7
'dd', # 0xa8
'r', # 0xa9
'lg', # 0xaa
'lm', # 0xab
'lb', # 0xac
'ls', # 0xad
'lt', # 0xae
'lp', # 0xaf
'rh', # 0xb0
'm', # 0xb1
'b', # 0xb2
'bb', # 0xb3
'bs', # 0xb4
's', # 0xb5
'ss', # 0xb6
'', # 0xb7
'j', # 0xb8
'jj', # 0xb9
'c', # 0xba
'k', # 0xbb
't', # 0xbc
'p', # 0xbd
'h', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'a', # 0xc2
'ae', # 0xc3
'ya', # 0xc4
'yae', # 0xc5
'eo', # 0xc6
'e', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'yeo', # 0xca
'ye', # 0xcb
'o', # 0xcc
'wa', # 0xcd
'wae', # 0xce
'oe', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'yo', # 0xd2
'u', # 0xd3
'weo', # 0xd4
'we', # 0xd5
'wi', # 0xd6
'yu', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'eu', # 0xda
'yi', # 0xdb
'i', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'/C', # 0xe0
'PS', # 0xe1
'!', # 0xe2
'-', # 0xe3
'|', # 0xe4
'Y=', # 0xe5
'W=', # 0xe6
'[?]', # 0xe7
'|', # 0xe8
'-', # 0xe9
'|', # 0xea
'-', # 0xeb
'|', # 0xec
'#', # 0xed
'O', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'{', # 0xf9
'|', # 0xfa
'}', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
'', # 0xff
)
x1d4 = (
'A', # 0x00
'B', # 0x01
'C', # 0x02
'D', # 0x03
'E', # 0x04
'F', # 0x05
'G', # 0x06
'H', # 0x07
'I', # 0x08
'J', # 0x09
'K', # 0x0a
'L', # 0x0b
'M', # 0x0c
'N', # 0x0d
'O', # 0x0e
'P', # 0x0f
'Q', # 0x10
'R', # 0x11
'S', # 0x12
'T', # 0x13
'U', # 0x14
'V', # 0x15
'W', # 0x16
'X', # 0x17
'Y', # 0x18
'Z', # 0x19
'a', # 0x1a
'b', # 0x1b
'c', # 0x1c
'd', # 0x1d
'e', # 0x1e
'f', # 0x1f
'g', # 0x20
'h', # 0x21
'i', # 0x22
'j', # 0x23
'k', # 0x24
'l', # 0x25
'm', # 0x26
'n', # 0x27
'o', # 0x28
'p', # 0x29
'q', # 0x2a
'r', # 0x2b
's', # 0x2c
't', # 0x2d
'u', # 0x2e
'v', # 0x2f
'w', # 0x30
'x', # 0x31
'y', # 0x32
'z', # 0x33
'A', # 0x34
'B', # 0x35
'C', # 0x36
'D', # 0x37
'E', # 0x38
'F', # 0x39
'G', # 0x3a
'H', # 0x3b
'I', # 0x3c
'J', # 0x3d
'K', # 0x3e
'L', # 0x3f
'M', # 0x40
'N', # 0x41
'O', # 0x42
'P', # 0x43
'Q', # 0x44
'R', # 0x45
'S', # 0x46
'T', # 0x47
'U', # 0x48
'V', # 0x49
'W', # 0x4a
'X', # 0x4b
'Y', # 0x4c
'Z', # 0x4d
'a', # 0x4e
'b', # 0x4f
'c', # 0x50
'd', # 0x51
'e', # 0x52
'f', # 0x53
'g', # 0x54
'', # 0x55
'i', # 0x56
'j', # 0x57
'k', # 0x58
'l', # 0x59
'm', # 0x5a
'n', # 0x5b
'o', # 0x5c
'p', # 0x5d
'q', # 0x5e
'r', # 0x5f
's', # 0x60
't', # 0x61
'u', # 0x62
'v', # 0x63
'w', # 0x64
'x', # 0x65
'y', # 0x66
'z', # 0x67
'A', # 0x68
'B', # 0x69
'C', # 0x6a
'D', # 0x6b
'E', # 0x6c
'F', # 0x6d
'G', # 0x6e
'H', # 0x6f
'I', # 0x70
'J', # 0x71
'K', # 0x72
'L', # 0x73
'M', # 0x74
'N', # 0x75
'O', # 0x76
'P', # 0x77
'Q', # 0x78
'R', # 0x79
'S', # 0x7a
'T', # 0x7b
'U', # 0x7c
'V', # 0x7d
'W', # 0x7e
'X', # 0x7f
'Y', # 0x80
'Z', # 0x81
'a', # 0x82
'b', # 0x83
'c', # 0x84
'd', # 0x85
'e', # 0x86
'f', # 0x87
'g', # 0x88
'h', # 0x89
'i', # 0x8a
'j', # 0x8b
'k', # 0x8c
'l', # 0x8d
'm', # 0x8e
'n', # 0x8f
'o', # 0x90
'p', # 0x91
'q', # 0x92
'r', # 0x93
's', # 0x94
't', # 0x95
'u', # 0x96
'v', # 0x97
'w', # 0x98
'x', # 0x99
'y', # 0x9a
'z', # 0x9b
'A', # 0x9c
'', # 0x9d
'C', # 0x9e
'D', # 0x9f
'', # 0xa0
'', # 0xa1
'G', # 0xa2
'', # 0xa3
'', # 0xa4
'J', # 0xa5
'K', # 0xa6
'', # 0xa7
'', # 0xa8
'N', # 0xa9
'O', # 0xaa
'P', # 0xab
'Q', # 0xac
'', # 0xad
'S', # 0xae
'T', # 0xaf
'U', # 0xb0
'V', # 0xb1
'W', # 0xb2
'X', # 0xb3
'Y', # 0xb4
'Z', # 0xb5
'a', # 0xb6
'b', # 0xb7
'c', # 0xb8
'd', # 0xb9
'', # 0xba
'f', # 0xbb
'', # 0xbc
'h', # 0xbd
'i', # 0xbe
'j', # 0xbf
'k', # 0xc0
'l', # 0xc1
'm', # 0xc2
'n', # 0xc3
'', # 0xc4
'p', # 0xc5
'q', # 0xc6
'r', # 0xc7
's', # 0xc8
't', # 0xc9
'u', # 0xca
'v', # 0xcb
'w', # 0xcc
'x', # 0xcd
'y', # 0xce
'z', # 0xcf
'A', # 0xd0
'B', # 0xd1
'C', # 0xd2
'D', # 0xd3
'E', # 0xd4
'F', # 0xd5
'G', # 0xd6
'H', # 0xd7
'I', # 0xd8
'J', # 0xd9
'K', # 0xda
'L', # 0xdb
'M', # 0xdc
'N', # 0xdd
'O', # 0xde
'P', # 0xdf
'Q', # 0xe0
'R', # 0xe1
'S', # 0xe2
'T', # 0xe3
'U', # 0xe4
'V', # 0xe5
'W', # 0xe6
'X', # 0xe7
'Y', # 0xe8
'Z', # 0xe9
'a', # 0xea
'b', # 0xeb
'c', # 0xec
'd', # 0xed
'e', # 0xee
'f', # 0xef
'g', # 0xf0
'h', # 0xf1
'i', # 0xf2
'j', # 0xf3
'k', # 0xf4
'l', # 0xf5
'm', # 0xf6
'n', # 0xf7
'o', # 0xf8
'p', # 0xf9
'q', # 0xfa
'r', # 0xfb
's', # 0xfc
't', # 0xfd
'u', # 0xfe
'v', # 0xff
)
x1d5 = (
'w', # 0x00
'x', # 0x01
'y', # 0x02
'z', # 0x03
'A', # 0x04
'B', # 0x05
'', # 0x06
'D', # 0x07
'E', # 0x08
'F', # 0x09
'G', # 0x0a
'', # 0x0b
'', # 0x0c
'J', # 0x0d
'K', # 0x0e
'L', # 0x0f
'M', # 0x10
'N', # 0x11
'O', # 0x12
'P', # 0x13
'Q', # 0x14
'', # 0x15
'S', # 0x16
'T', # 0x17
'U', # 0x18
'V', # 0x19
'W', # 0x1a
'X', # 0x1b
'Y', # 0x1c
'', # 0x1d
'a', # 0x1e
'b', # 0x1f
'c', # 0x20
'd', # 0x21
'e', # 0x22
'f', # 0x23
'g', # 0x24
'h', # 0x25
'i', # 0x26
'j', # 0x27
'k', # 0x28
'l', # 0x29
'm', # 0x2a
'n', # 0x2b
'o', # 0x2c
'p', # 0x2d
'q', # 0x2e
'r', # 0x2f
's', # 0x30
't', # 0x31
'u', # 0x32
'v', # 0x33
'w', # 0x34
'x', # 0x35
'y', # 0x36
'z', # 0x37
'A', # 0x38
'B', # 0x39
'', # 0x3a
'D', # 0x3b
'E', # 0x3c
'F', # 0x3d
'G', # 0x3e
'', # 0x3f
'I', # 0x40
'J', # 0x41
'K', # 0x42
'L', # 0x43
'M', # 0x44
'', # 0x45
'O', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'S', # 0x4a
'T', # 0x4b
'U', # 0x4c
'V', # 0x4d
'W', # 0x4e
'X', # 0x4f
'Y', # 0x50
'', # 0x51
'a', # 0x52
'b', # 0x53
'c', # 0x54
'd', # 0x55
'e', # 0x56
'f', # 0x57
'g', # 0x58
'h', # 0x59
'i', # 0x5a
'j', # 0x5b
'k', # 0x5c
'l', # 0x5d
'm', # 0x5e
'n', # 0x5f
'o', # 0x60
'p', # 0x61
'q', # 0x62
'r', # 0x63
's', # 0x64
't', # 0x65
'u', # 0x66
'v', # 0x67
'w', # 0x68
'x', # 0x69
'y', # 0x6a
'z', # 0x6b
'A', # 0x6c
'B', # 0x6d
'C', # 0x6e
'D', # 0x6f
'E', # 0x70
'F', # 0x71
'G', # 0x72
'H', # 0x73
'I', # 0x74
'J', # 0x75
'K', # 0x76
'L', # 0x77
'M', # 0x78
'N', # 0x79
'O', # 0x7a
'P', # 0x7b
'Q', # 0x7c
'R', # 0x7d
'S', # 0x7e
'T', # 0x7f
'U', # 0x80
'V', # 0x81
'W', # 0x82
'X', # 0x83
'Y', # 0x84
'Z', # 0x85
'a', # 0x86
'b', # 0x87
'c', # 0x88
'd', # 0x89
'e', # 0x8a
'f', # 0x8b
'g', # 0x8c
'h', # 0x8d
'i', # 0x8e
'j', # 0x8f
'k', # 0x90
'l', # 0x91
'm', # 0x92
'n', # 0x93
'o', # 0x94
'p', # 0x95
'q', # 0x96
'r', # 0x97
's', # 0x98
't', # 0x99
'u', # 0x9a
'v', # 0x9b
'w', # 0x9c
'x', # 0x9d
'y', # 0x9e
'z', # 0x9f
'A', # 0xa0
'B', # 0xa1
'C', # 0xa2
'D', # 0xa3
'E', # 0xa4
'F', # 0xa5
'G', # 0xa6
'H', # 0xa7
'I', # 0xa8
'J', # 0xa9
'K', # 0xaa
'L', # 0xab
'M', # 0xac
'N', # 0xad
'O', # 0xae
'P', # 0xaf
'Q', # 0xb0
'R', # 0xb1
'S', # 0xb2
'T', # 0xb3
'U', # 0xb4
'V', # 0xb5
'W', # 0xb6
'X', # 0xb7
'Y', # 0xb8
'Z', # 0xb9
'a', # 0xba
'b', # 0xbb
'c', # 0xbc
'd', # 0xbd
'e', # 0xbe
'f', # 0xbf
'g', # 0xc0
'h', # 0xc1
'i', # 0xc2
'j', # 0xc3
'k', # 0xc4
'l', # 0xc5
'm', # 0xc6
'n', # 0xc7
'o', # 0xc8
'p', # 0xc9
'q', # 0xca
'r', # 0xcb
's', # 0xcc
't', # 0xcd
'u', # 0xce
'v', # 0xcf
'w', # 0xd0
'x', # 0xd1
'y', # 0xd2
'z', # 0xd3
'A', # 0xd4
'B', # 0xd5
'C', # 0xd6
'D', # 0xd7
'E', # 0xd8
'F', # 0xd9
'G', # 0xda
'H', # 0xdb
'I', # 0xdc
'J', # 0xdd
'K', # 0xde
'L', # 0xdf
'M', # 0xe0
'N', # 0xe1
'O', # 0xe2
'P', # 0xe3
'Q', # 0xe4
'R', # 0xe5
'S', # 0xe6
'T', # 0xe7
'U', # 0xe8
'V', # 0xe9
'W', # 0xea
'X', # 0xeb
'Y', # 0xec
'Z', # 0xed
'a', # 0xee
'b', # 0xef
'c', # 0xf0
'd', # 0xf1
'e', # 0xf2
'f', # 0xf3
'g', # 0xf4
'h', # 0xf5
'i', # 0xf6
'j', # 0xf7
'k', # 0xf8
'l', # 0xf9
'm', # 0xfa
'n', # 0xfb
'o', # 0xfc
'p', # 0xfd
'q', # 0xfe
'r', # 0xff
)
x1d6 = (
's', # 0x00
't', # 0x01
'u', # 0x02
'v', # 0x03
'w', # 0x04
'x', # 0x05
'y', # 0x06
'z', # 0x07
'A', # 0x08
'B', # 0x09
'C', # 0x0a
'D', # 0x0b
'E', # 0x0c
'F', # 0x0d
'G', # 0x0e
'H', # 0x0f
'I', # 0x10
'J', # 0x11
'K', # 0x12
'L', # 0x13
'M', # 0x14
'N', # 0x15
'O', # 0x16
'P', # 0x17
'Q', # 0x18
'R', # 0x19
'S', # 0x1a
'T', # 0x1b
'U', # 0x1c
'V', # 0x1d
'W', # 0x1e
'X', # 0x1f
'Y', # 0x20
'Z', # 0x21
'a', # 0x22
'b', # 0x23
'c', # 0x24
'd', # 0x25
'e', # 0x26
'f', # 0x27
'g', # 0x28
'h', # 0x29
'i', # 0x2a
'j', # 0x2b
'k', # 0x2c
'l', # 0x2d
'm', # 0x2e
'n', # 0x2f
'o', # 0x30
'p', # 0x31
'q', # 0x32
'r', # 0x33
's', # 0x34
't', # 0x35
'u', # 0x36
'v', # 0x37
'w', # 0x38
'x', # 0x39
'y', # 0x3a
'z', # 0x3b
'A', # 0x3c
'B', # 0x3d
'C', # 0x3e
'D', # 0x3f
'E', # 0x40
'F', # 0x41
'G', # 0x42
'H', # 0x43
'I', # 0x44
'J', # 0x45
'K', # 0x46
'L', # 0x47
'M', # 0x48
'N', # 0x49
'O', # 0x4a
'P', # 0x4b
'Q', # 0x4c
'R', # 0x4d
'S', # 0x4e
'T', # 0x4f
'U', # 0x50
'V', # 0x51
'W', # 0x52
'X', # 0x53
'Y', # 0x54
'Z', # 0x55
'a', # 0x56
'b', # 0x57
'c', # 0x58
'd', # 0x59
'e', # 0x5a
'f', # 0x5b
'g', # 0x5c
'h', # 0x5d
'i', # 0x5e
'j', # 0x5f
'k', # 0x60
'l', # 0x61
'm', # 0x62
'n', # 0x63
'o', # 0x64
'p', # 0x65
'q', # 0x66
'r', # 0x67
's', # 0x68
't', # 0x69
'u', # 0x6a
'v', # 0x6b
'w', # 0x6c
'x', # 0x6d
'y', # 0x6e
'z', # 0x6f
'A', # 0x70
'B', # 0x71
'C', # 0x72
'D', # 0x73
'E', # 0x74
'F', # 0x75
'G', # 0x76
'H', # 0x77
'I', # 0x78
'J', # 0x79
'K', # 0x7a
'L', # 0x7b
'M', # 0x7c
'N', # 0x7d
'O', # 0x7e
'P', # 0x7f
'Q', # 0x80
'R', # 0x81
'S', # 0x82
'T', # 0x83
'U', # 0x84
'V', # 0x85
'W', # 0x86
'X', # 0x87
'Y', # 0x88
'Z', # 0x89
'a', # 0x8a
'b', # 0x8b
'c', # 0x8c
'd', # 0x8d
'e', # 0x8e
'f', # 0x8f
'g', # 0x90
'h', # 0x91
'i', # 0x92
'j', # 0x93
'k', # 0x94
'l', # 0x95
'm', # 0x96
'n', # 0x97
'o', # 0x98
'p', # 0x99
'q', # 0x9a
'r', # 0x9b
's', # 0x9c
't', # 0x9d
'u', # 0x9e
'v', # 0x9f
'w', # 0xa0
'x', # 0xa1
'y', # 0xa2
'z', # 0xa3
'i', # 0xa4
'j', # 0xa5
'', # 0xa6
'', # 0xa7
'Alpha', # 0xa8
'Beta', # 0xa9
'Gamma', # 0xaa
'Delta', # 0xab
'Epsilon', # 0xac
'Zeta', # 0xad
'Eta', # 0xae
'Theta', # 0xaf
'Iota', # 0xb0
'Kappa', # 0xb1
'Lamda', # 0xb2
'Mu', # 0xb3
'Nu', # 0xb4
'Xi', # 0xb5
'Omicron', # 0xb6
'Pi', # 0xb7
'Rho', # 0xb8
'Theta', # 0xb9
'Sigma', # 0xba
'Tau', # 0xbb
'Upsilon', # 0xbc
'Phi', # 0xbd
'Chi', # 0xbe
'Psi', # 0xbf
'Omega', # 0xc0
'nabla', # 0xc1
'alpha', # 0xc2
'beta', # 0xc3
'gamma', # 0xc4
'delta', # 0xc5
'epsilon', # 0xc6
'zeta', # 0xc7
'eta', # 0xc8
'theta', # 0xc9
'iota', # 0xca
'kappa', # 0xcb
'lamda', # 0xcc
'mu', # 0xcd
'nu', # 0xce
'xi', # 0xcf
'omicron', # 0xd0
'pi', # 0xd1
'rho', # 0xd2
'sigma', # 0xd3
'sigma', # 0xd4
'tai', # 0xd5
'upsilon', # 0xd6
'phi', # 0xd7
'chi', # 0xd8
'psi', # 0xd9
'omega', # 0xda
'', # 0xdb
'', # 0xdc
'', # 0xdd
'', # 0xde
'', # 0xdf
'', # 0xe0
'', # 0xe1
'', # 0xe2
'', # 0xe3
'', # 0xe4
'', # 0xe5
'', # 0xe6
'', # 0xe7
'', # 0xe8
'', # 0xe9
'', # 0xea
'', # 0xeb
'', # 0xec
'', # 0xed
'', # 0xee
'', # 0xef
'', # 0xf0
'', # 0xf1
'', # 0xf2
'', # 0xf3
'', # 0xf4
'', # 0xf5
'', # 0xf6
'', # 0xf7
'', # 0xf8
'', # 0xf9
'', # 0xfa
'', # 0xfb
'', # 0xfc
'', # 0xfd
'', # 0xfe
'', # 0xff
)
x1d7 = (
'', # 0x00
'', # 0x01
'', # 0x02
'', # 0x03
'', # 0x04
'', # 0x05
'', # 0x06
'', # 0x07
'', # 0x08
'', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'', # 0x0f
'', # 0x10
'', # 0x11
'', # 0x12
'', # 0x13
'', # 0x14
'', # 0x15
'', # 0x16
'', # 0x17
'', # 0x18
'', # 0x19
'', # 0x1a
'', # 0x1b
'', # 0x1c
'', # 0x1d
'', # 0x1e
'', # 0x1f
'', # 0x20
'', # 0x21
'', # 0x22
'', # 0x23
'', # 0x24
'', # 0x25
'', # 0x26
'', # 0x27
'', # 0x28
'', # 0x29
'', # 0x2a
'', # 0x2b
'', # 0x2c
'', # 0x2d
'', # 0x2e
'', # 0x2f
'', # 0x30
'', # 0x31
'', # 0x32
'', # 0x33
'', # 0x34
'', # 0x35
'', # 0x36
'', # 0x37
'', # 0x38
'', # 0x39
'', # 0x3a
'', # 0x3b
'', # 0x3c
'', # 0x3d
'', # 0x3e
'', # 0x3f
'', # 0x40
'', # 0x41
'', # 0x42
'', # 0x43
'', # 0x44
'', # 0x45
'', # 0x46
'', # 0x47
'', # 0x48
'', # 0x49
'', # 0x4a
'', # 0x4b
'', # 0x4c
'', # 0x4d
'', # 0x4e
'', # 0x4f
'', # 0x50
'', # 0x51
'', # 0x52
'', # 0x53
'', # 0x54
'', # 0x55
'', # 0x56
'', # 0x57
'', # 0x58
'', # 0x59
'', # 0x5a
'', # 0x5b
'', # 0x5c
'', # 0x5d
'', # 0x5e
'', # 0x5f
'', # 0x60
'', # 0x61
'', # 0x62
'', # 0x63
'', # 0x64
'', # 0x65
'', # 0x66
'', # 0x67
'', # 0x68
'', # 0x69
'', # 0x6a
'', # 0x6b
'', # 0x6c
'', # 0x6d
'', # 0x6e
'', # 0x6f
'', # 0x70
'', # 0x71
'', # 0x72
'', # 0x73
'', # 0x74
'', # 0x75
'', # 0x76
'', # 0x77
'', # 0x78
'', # 0x79
'', # 0x7a
'', # 0x7b
'', # 0x7c
'', # 0x7d
'', # 0x7e
'', # 0x7f
'', # 0x80
'', # 0x81
'', # 0x82
'', # 0x83
'', # 0x84
'', # 0x85
'', # 0x86
'', # 0x87
'', # 0x88
'', # 0x89
'', # 0x8a
'', # 0x8b
'', # 0x8c
'', # 0x8d
'', # 0x8e
'', # 0x8f
'', # 0x90
'', # 0x91
'', # 0x92
'', # 0x93
'', # 0x94
'', # 0x95
'', # 0x96
'', # 0x97
'', # 0x98
'', # 0x99
'', # 0x9a
'', # 0x9b
'', # 0x9c
'', # 0x9d
'', # 0x9e
'', # 0x9f
'', # 0xa0
'', # 0xa1
'', # 0xa2
'', # 0xa3
'', # 0xa4
'', # 0xa5
'', # 0xa6
'', # 0xa7
'', # 0xa8
'', # 0xa9
'', # 0xaa
'', # 0xab
'', # 0xac
'', # 0xad
'', # 0xae
'', # 0xaf
'', # 0xb0
'', # 0xb1
'', # 0xb2
'', # 0xb3
'', # 0xb4
'', # 0xb5
'', # 0xb6
'', # 0xb7
'', # 0xb8
'', # 0xb9
'', # 0xba
'', # 0xbb
'', # 0xbc
'', # 0xbd
'', # 0xbe
'', # 0xbf
'', # 0xc0
'', # 0xc1
'', # 0xc2
'', # 0xc3
'', # 0xc4
'', # 0xc5
'', # 0xc6
'', # 0xc7
'', # 0xc8
'', # 0xc9
'', # 0xca
'', # 0xcb
'', # 0xcc
'', # 0xcd
'0', # 0xce
'1', # 0xcf
'2', # 0xd0
'3', # 0xd1
'4', # 0xd2
'5', # 0xd3
'6', # 0xd4
'7', # 0xd5
'8', # 0xd6
'9', # 0xd7
'0', # 0xd8
'1', # 0xd9
'2', # 0xda
'3', # 0xdb
'4', # 0xdc
'5', # 0xdd
'6', # 0xde
'7', # 0xdf
'8', # 0xe0
'9', # 0xe1
'0', # 0xe2
'1', # 0xe3
'2', # 0xe4
'3', # 0xe5
'4', # 0xe6
'5', # 0xe7
'6', # 0xe8
'7', # 0xe9
'8', # 0xea
'9', # 0xeb
'0', # 0xec
'1', # 0xed
'2', # 0xee
'3', # 0xef
'4', # 0xf0
'5', # 0xf1
'6', # 0xf2
'7', # 0xf3
'8', # 0xf4
'9', # 0xf5
'0', # 0xf6
'1', # 0xf7
'2', # 0xf8
'3', # 0xf9
'4', # 0xfa
'5', # 0xfb
'6', # 0xfc
'7', # 0xfd
'8', # 0xfe
'9', # 0xff
)
|
# Import the commands module and run the fmr.R script.
import subprocess
#~ You can also use "commands" module
#~ This script should be in the same directory as 'fmr.R'
MyRScript = 'fmr.R'
p = subprocess.Popen("Rscript --verbose " + MyRScript, \
stdout=subprocess.PIPE, shell=True)
(output, err) = p.communicate()
if p.returncode == 0:
print "*** Successful run! ***\n"
print "The R output was: \n", output
else:
print "*** Unsuccessful run! ***\n"
#####################################################
## Alternative solution using the commands module ##
#####################################################
## Import the commands module and run the fmr.R script.
# import commands
# result = commands.getstatusoutput("Rscript --verbose fmr.R")
#
##Check the exit status to see if the run was successful and print output
# if result[0] == 0:
# print "*** Successful run! ***\n"
# print result[1]
# else:
# print "*** Run failed! ****\n"
# print result[1]
|
import torch
from torch import nn
class MultiSampleDropout(nn.Module):
def __init__(self, in_features, out_features, num_samples=5, dropout_rate=0.5):
super().__init__()
self.num_samples = num_samples
for i in range(num_samples):
setattr(self, 'dropout{}'.format(i), nn.Dropout(dropout_rate))
setattr(self, 'fc{}'.format(i), nn.Linear(in_features, out_features))
def forward(self, x):
logits = []
for i in range(self.num_samples):
dropout = getattr(self, 'dropout{}'.format(i))
fc = getattr(self, 'fc{}'.format(i))
x_ = dropout(x)
x_ = fc(x_)
logits.append(x_)
return torch.stack(logits).mean(dim=0)
|
from datetime import timedelta
from datetime import date
import pandas as pd
import pandas.io.sql as sqlio
import psycopg2
import ta
# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG
# Operators; we need this to operate!
from airflow.operators.bash_operator import BashOperator
from airflow.utils.dates import days_ago
from airflow.operators.python_operator import PythonOperator
# from airflow.operators.sensors import TimeDeltaSensor
import pickle
import numpy as np
import tensorflow as tf
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
except RuntimeError as e:
print(e)
class postgresql_db_config:
NAME = 'stock_data'
PORT = 5432
HOST = '162.246.156.44'
USER = 'stock_data_admin'
PASSWORD = 'ece493_team4_stock_data'
# time has to start from index 70 including 70
def get_input_data(time_stamp,dat,step_size):
index_high = dat.loc[dat['time_stamp'] == time_stamp].index[0]
index_low = index_high - step_size
features = dat[['open','volume','volume_obv','trend_macd','trend_macd_signal','trend_macd_diff','momentum_rsi','volume_vpt']]
dataset = features.values
data_mean = dataset.mean(axis=0)
data_std = dataset.std(axis=0)
dataset = (dataset-data_mean)/data_std
return dataset[index_low:index_high],data_mean,data_std
def get_predict_data(time_stamp,stock_name):
postgre_db = psycopg2.connect(dbname = postgresql_db_config.NAME,
user = postgresql_db_config.USER,
password = postgresql_db_config.PASSWORD,
host = postgresql_db_config.HOST,
port = postgresql_db_config.PORT)
sql =f'''
select * from public.stock_data_full where stock_name = '{stock_name}' order by time_stamp asc
'''
dat = sqlio.read_sql_query(sql, postgre_db)
dat = dat.dropna()
dat = dat.reset_index(drop=True)
features = dat[['open','volume','volume_obv','trend_macd','trend_macd_signal','trend_macd_diff','momentum_rsi','volume_vpt']]
multi_step_model = tf.keras.models.load_model(f'/home/centos/airflow/dags/saved_model/{stock_name}.h5')
print(f'load model from : ---- /home/centos/airflow/dags/saved_model/{stock_name}.h5')
input_data,mean,std = get_input_data(time_stamp,dat,70)
prediction_result_norm = multi_step_model.predict(np.expand_dims(input_data,axis = 0))
prediction_result= np.add(np.multiply(prediction_result_norm,std[0]),mean[0])
return prediction_result[0]
def get_lastest_date(step,stock_name):
postgre_db = psycopg2.connect(dbname = postgresql_db_config.NAME,
user = postgresql_db_config.USER,
password = postgresql_db_config.PASSWORD,
host = postgresql_db_config.HOST,
port = postgresql_db_config.PORT)
cur = postgre_db.cursor()
sql =f'''
select * from public.stock_data_full where stock_name = '{stock_name}' order by time_stamp desc
'''
dat = sqlio.read_sql_query(sql, postgre_db)
dat = dat.dropna()
dat = dat.reset_index(drop=True)
return dat['time_stamp'][0:step]
def store_prediction_to_db(step,stock_name):
for time_stamp in get_lastest_date(step,stock_name):
prediction = get_predict_data(time_stamp,stock_name)
print(prediction)
print(time_stamp)
conn = psycopg2.connect(dbname = postgresql_db_config.NAME,
user = postgresql_db_config.USER,
password = postgresql_db_config.PASSWORD,
host = postgresql_db_config.HOST,
port = postgresql_db_config.PORT)
cur = conn.cursor()
cur.execute( f'''
INSERT INTO stock_prediction(stock_name,time_stamp,prediction)
VALUES ('{stock_name}','{time_stamp}', ARRAY[{prediction[0]},{prediction[1]},{prediction[2]},{prediction[3]},{prediction[4]},{prediction[5]},{prediction[6]}])
ON CONFLICT (stock_name,time_stamp) DO UPDATE
SET prediction = excluded.prediction
'''
)
cur.close()
conn.commit()
conn.close()
# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization
default_args = {
'owner': 'zzhmtxxhh',
'depends_on_past': False,
'start_date': days_ago(0),
'email': ['zhihao9@ualberta.ca'],
'email_on_failure': False,
'email_on_retry': False,
'retries': 3,
'retry_delay': timedelta(minutes=3),
# 'queue': 'bash_queue',
# 'pool': 'backfill',
# 'priority_weight': 10,
# 'end_date': datetime(2016, 1, 1),
# 'wait_for_downstream': False,
# 'dag': dag,
# 'sla': timedelta(hours=2),
# 'execution_timeout': timedelta(seconds=300),
# 'on_failure_callback': some_function,
# 'on_success_callback': some_other_function,
# 'on_retry_callback': another_function,
# 'sla_miss_callback': yet_another_function,
# 'trigger_rule': 'all_success'
}
dag = DAG(
'stock_data_prediction',
default_args=default_args,
description='Data prediction',
schedule_interval='20 * * * *',
)
# t1, t2 and t3 are examples of tasks created by instantiating operators
aapl_prediction = PythonOperator(
task_id='aapl_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'aapl'},
dag=dag
)
dis_prediction = PythonOperator(
task_id='dis_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'dis'},
dag=dag
)
ge_prediction = PythonOperator(
task_id='ge_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'ge'},
dag=dag
)
ibm_prediction = PythonOperator(
task_id='ibm_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'ibm'},
dag=dag
)
intc_prediction = PythonOperator(
task_id='intc_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'intc'},
dag=dag
)
jpm_prediction = PythonOperator(
task_id='jpm_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'jpm'},
dag=dag
)
msft_prediction = PythonOperator(
task_id='msft_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'msft'},
dag=dag
)
nke_prediction = PythonOperator(
task_id='nke_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'nke'},
dag=dag
)
v_prediction = PythonOperator(
task_id='v_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'v'},
dag=dag
)
wmt_prediction = PythonOperator(
task_id='wmt_prediction',
python_callable=store_prediction_to_db,
op_kwargs={'step': 2,'stock_name':'wmt'},
dag=dag
)
aapl_prediction >> dis_prediction >> ge_prediction >> ibm_prediction >> intc_prediction >> jpm_prediction >> msft_prediction >>nke_prediction >> v_prediction >> wmt_prediction
|
# -*- coding: utf-8 -*-
import json
import numpy as np
import copy
import time
import os
import os.path as op
import sigraph
import pandas as pd
import random
#Pytorch
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
#Brainvisa
from soma import aims
from deepsulci.deeptools.dataset import extract_data
from deepsulci.deeptools.models import UNet3D
from deepsulci.sulci_labeling.analyse.stats import esi_score
from deepsulci.sulci_labeling.method.cutting import cutting
from deepsulci.deeptools.early_stopping import EarlyStopping
from dataset import SulciDataset
# -------------------------------------------------------------------------------------------------- #
# Classe Parent des classes UnetTrainingSulciLabelling et UnetTransfertSulciLabelling
# Classe alternative à la classe UnetSulciLabelling de Brainvisa (deepsulci/sulci_labelling/method/unet)
# --------------------------------------------------------------------------------------------------- #
class UnetPatternSulciLabelling(object):
def __init__(self, graphs, hemi, cuda=-1, working_path=None, dict_model={},
dict_names=None, dict_bck2=None, sulci_side_list=None):
#graphs
self.graphs = graphs
self.hemi = hemi
#dict_sulci / sslist
self.dict_bck2 = dict_bck2
self.dict_names = dict_names
self.sulci_side_list = sulci_side_list
if sulci_side_list is not None :
self.dict_sulci = {sulci_side_list[i]: i for i in range(len(sulci_side_list))}
if 'background' not in self.dict_sulci:
self.dict_sulci['background'] = -1
self.sslist = [ss for ss in sulci_side_list if
not ss.startswith('unknown') and not ss.startswith('ventricle')]
else:
self.dict_sulci = None
self.sslist = None
self.background = -1
#working path
if working_path is None:
self.working_path = os.getcwd()
else:
self.working_path = working_path
#model
self.model = None
#dict_model
self.dict_model = dict_model
if 'name' in dict_model.keys():
self.model_name = dict_model['name']
print('Model name: ', self.model_name)
else:
self.model_name = 'UnknownModel_hemi' + hemi
if 'num_filter' in dict_model.keys():
self.num_filter = dict_model['num_filter']
print('Number of filters : ', self.num_filter)
else:
self.num_filter = 64
if 'num_channel' in dict_model.keys():
self.num_channel = dict_model['num_channel']
print('Number of channels : ', self.num_channel)
else:
self.num_channel = 1
if 'interpolate' in dict_model.keys():
self.interpolate = dict_model['interpolate']
print('Interpolate : ', self.interpolate)
else:
self.interpolate = True
if 'final_sigmoid' in dict_model.keys():
self.final_sigmoid = dict_model['final_sigmoid']
print('Final Sigmoid : ', self.final_sigmoid)
else:
self.final_sigmoid = False
if 'conv_layer_order' in dict_model.keys():
self.conv_layer_order = dict_model['conv_layer_order']
print('Convolutional Layer Order : ', self.conv_layer_order)
else:
self.conv_layer_order = 'crg'
if 'num_conv' in dict_model.keys():
self.num_conv = dict_model['num_conv']
else:
self.num_conv = 1
#results
self.results = {}
self.dict_scores = {}
# translation file
self.trfile = None
# device
if cuda is -1:
self.device = torch.device('cpu')
else:
self.device = torch.device(
"cuda" if torch.cuda.is_available() else "cpu", index=cuda)
print('Working on', self.device)
def extract_data_from_graphs(self):
#Création de la sucli_side_list, dict_names et dict_bck2 à partir des graphes
# SULCI SIDE LIST
print('Creating sulci side list...')
sulci_side_list = set()
dict_bck2, dict_names = {}, {}
for gfile in self.graphs:
graph = aims.read(gfile)
if self.trfile is not None:
self.flt.translate(graph)
data = extract_data(graph)
dict_bck2[gfile] = data['bck2']
dict_names[gfile] = data['names']
for n in data['names']:
sulci_side_list.add(n)
self.sulci_side_list = sorted(list(sulci_side_list))
print(len(self.sulci_side_list), ' sulci detected')
self.dict_sulci = {self.sulci_side_list[i]: i for i in range(len(sulci_side_list))}
if 'background' not in self.dict_sulci:
self.dict_sulci['background'] = -1
self.sslist = [ss for ss in sulci_side_list if not ss.startswith('unknown') and not ss.startswith('ventricle')]
self.dict_bck2 = dict_bck2
self.dict_names = dict_names
def fill_dict_model(self, dict_model):
# Auto-complétion du dict_model avec les paramètres par défaut
if 'in_channels' not in dict_model.keys():
dict_model['in_channels'] = 1
if 'out_channels' in dict_model.keys():
if isinstance(dict_model['out_channels'], str):
param = json.load(open(dict_model['out_channels'], 'r'))
trained_sulci_side_list = param['sulci_side_list']
dict_model['out_channels'] = len(trained_sulci_side_list)
else:
if self.hemi == 'L':
path = '/casa/host/build/share/brainvisa-share-5.1/models/models_2019/cnn_models/sulci_unet_model_params_left.json'
else:
path = '/casa/host/build/share/brainvisa-share-5.1/models/models_2019/cnn_models/sulci_unet_model_params_right.json'
param = json.load(open(path, 'r'))
trained_sulci_side_list = param['sulci_side_list']
dict_model['out_channels'] = len(trained_sulci_side_list)
if 'final_sigmoid' not in dict_model.keys():
dict_model['final_sigmoid'] = False
if 'interpolate' not in dict_model.keys():
dict_model['interpolate'] = True
if 'conv_layer_order' not in dict_model.keys():
dict_model['conv_layer_order'] = 'crg'
if 'init_channel_number' not in dict_model.keys():
dict_model['init_channel_number'] = 64
if 'model_file' not in dict_model.keys():
if self.hemi == 'L':
dict_model[
'model_file'] = '/casa/host/build/share/brainvisa-share-5.1/models/models_2019/cnn_models/sulci_unet_model_left.mdsm'
else:
dict_model[
'model_file'] = '/casa/host/build/share/brainvisa-share-5.1/models/models_2019/cnn_models/sulci_unet_model_right.mdsm'
if 'num_conv' not in dict_model.keys():
dict_model['num_conv'] = 1
return dict_model
def test_thresholds(self, gfile_list_test, gfile_list_notcut_test, threshold_range, save_results=True):
# Application des cutting threshold et sauvegarde des scores
print('test thresholds')
since = time.time()
for th in threshold_range:
self.dict_scores[th] = []
for gfile, gfile_notcut in zip(gfile_list_test, gfile_list_notcut_test):
# extract data
graph = aims.read(gfile)
if self.trfile is not None:
self.flt.translate(graph)
data = extract_data(graph)
nbck = np.asarray(data['nbck'])
bck2 = np.asarray(data['bck2'])
names = np.asarray(data['names'])
graph_notcut = aims.read(gfile_notcut)
if self.trfile is not None:
self.flt.translate(graph_notcut)
data_notcut = extract_data(graph_notcut)
nbck_notcut = np.asarray(data_notcut['nbck'])
vert_notcut = np.asarray(data_notcut['vert'])
# compute labeling
_, _, yscores = self.labeling(gfile)
# organize dataframes
df = pd.DataFrame()
df['point_x'] = nbck[:, 0]
df['point_y'] = nbck[:, 1]
df['point_z'] = nbck[:, 2]
df.sort_values(by=['point_x', 'point_y', 'point_z'],
inplace=True)
df_notcut = pd.DataFrame()
nbck_notcut = np.asarray(nbck_notcut)
df_notcut['vert'] = vert_notcut
df_notcut['point_x'] = nbck_notcut[:, 0]
df_notcut['point_y'] = nbck_notcut[:, 1]
df_notcut['point_z'] = nbck_notcut[:, 2]
df_notcut.sort_values(by=['point_x', 'point_y', 'point_z'],
inplace=True)
if (len(df) != len(df_notcut)):
print()
print('ERROR no matches between %s and %s' % (
gfile, gfile_notcut))
print('--- Files ignored to fix the threshold')
print()
else:
df['vert_notcut'] = list(df_notcut['vert'])
df.sort_index(inplace=True)
for threshold in threshold_range:
ypred_cut = cutting(yscores, df['vert_notcut'], bck2, threshold)
ypred_cut = [self.sulci_side_list[y] for y in ypred_cut]
self.dict_scores[threshold].append((1 - esi_score(
names, ypred_cut, self.sslist)) * 100)
if save_results:
for th, sc in self.dict_scores.items():
if th in self.results['threshold_scores'].keys():
self.results['threshold_scores'][th].append(sc)
else:
self.results['threshold_scores'][th] = [sc]
time_elapsed = time.time() - since
print('Cutting complete in {:.0f}m {:.0f}s'.format(
time_elapsed // 60, time_elapsed % 60))
def labeling(self, gfile, bck2=None, names=None, imgsize=None):
# Labellisation automatique du graphe gfile avec le modèle
print('Labeling', gfile)
self.model = self.model.to(self.device)
self.model.eval()
if bck2 is None:
bck2 = self.dict_bck2[gfile]
if names is None:
names = self.dict_names[gfile]
dataset = SulciDataset(
[gfile], self.dict_sulci, train=False,
translation_file=self.trfile,
dict_bck2={gfile: bck2}, dict_names={gfile: names}, img_size=imgsize)
data = dataset[0]
with torch.no_grad():
inputs, labels = data
inputs = inputs.unsqueeze(0)
inputs = inputs.to(self.device)
outputs = self.model(inputs)
if bck2 is None:
bck_T = np.where(np.asarray(labels) != self.background)
else:
tr = np.min(bck2, axis=0)
bck_T = np.transpose(bck2 - tr)
_, preds = torch.max(outputs.data, 1)
ypred = preds[0][bck_T[0], bck_T[1], bck_T[2]].tolist()
ytrue = labels[bck_T[0], bck_T[1], bck_T[2]].tolist()
yscores = outputs[0][:, bck_T[0], bck_T[1],
bck_T[2]].tolist()
yscores = np.transpose(yscores)
return ytrue, ypred, yscores
def save_data(self, name=None):
# Sauvegarde de la sucli_side_list, dict_names et dict_bck2
os.makedirs(op.join(self.working_path, 'data'), exist_ok=True)
if name is None:
path_to_save_data = op.join(self.working_path, 'data', self.model_name + '.json')
else:
path_to_save_data = op.join(self.working_path, 'data', name + '_data.json')
data = {'dict_bck2': self.dict_bck2,
'dict_names': self.dict_names,
'sulci_side_list': self.sulci_side_list}
with open(path_to_save_data, 'w') as f:
json.dump(data, f)
print('Data saved')
def save_model(self, name=None):
# Sauvegarde du modèle
os.makedirs(op.join(self.working_path, 'models'), exist_ok=True)
if name is None:
path_to_save_model = op.join(self.working_path, 'models', self.model_name + '_model.mdsm')
else:
os.makedirs(op.join(self.working_path, 'models', self.model_name), exist_ok=True)
path_to_save_model = op.join(self.working_path, 'models', self.model_name, name + '_model.mdsm')
self.model.to(torch.device('cpu'))
torch.save(self.model.state_dict(), path_to_save_model)
print('Model saved')
def save_results(self, name=None):
# Sauvegarde des résultats
os.makedirs(op.join(self.working_path, 'results'), exist_ok=True)
if name is None:
path_to_save_results = op.join(self.working_path, 'results', self.model_name + '_results.json')
else:
path_to_save_results = op.join(self.working_path, 'results', name + '_results.json')
with open(path_to_save_results, 'w') as f:
json.dump(self.results, f)
print('Results saved')
def save_params(self, best_threshold=None, name=None):
# Sauvegarde des paramètres
os.makedirs(op.join(self.working_path, 'models'), exist_ok=True)
if name is not None:
self.dict_model['model_file'] = op.join(self.working_path, 'models', self.model_name, name + '_model.mdsm')
else:
self.dict_model['model_file'] = op.join(self.working_path, 'models', self.model_name + '_model.mdsm')
self.dict_model['out_channels'] = len(self.sulci_side_list)
params = {'dict_bck2': self.dict_bck2,
'dict_names': self.dict_names,
'sulci_side_list': self.sulci_side_list,
'dict_model': self.dict_model
}
if best_threshold is not None:
params['cutting_threshold'] = best_threshold
if os.path.exists(op.join(self.working_path, 'models', self.model_name )):
path_to_save_params = op.join(self.working_path, 'models', self.model_name)
else:
path_to_save_params = op.join(self.working_path, 'models')
if name is None:
path_to_save_params = op.join( path_to_save_params, self.model_name + '_params.json')
else:
path_to_save_params = op.join( path_to_save_params, name + '_params.json')
with open(path_to_save_params, 'w') as f:
json.dump(params, f)
print('Parameters saved')
def reset_results(self):
self.results = {}
def load_saved_model(self, dict_model):
# Chargement d'un modèle précédemment entraîné
dict_model = self.fill_dict_model(dict_model)
self.model = UNet3D(dict_model['in_channels'], dict_model['out_channels'],
final_sigmoid=dict_model['final_sigmoid'],
interpolate=dict_model['interpolate'],
conv_layer_order=dict_model['conv_layer_order'],
init_channel_number=dict_model['init_channel_number'])
if dict_model['num_conv'] > 1:
fac = (dict_model['init_channel_number'] - dict_model['out_channels']) / dict_model['num_conv']
num_channel = dict_model['init_channel_number']
self.model.final_conv = nn.Sequential()
for n in range(self.num_conv):
self.model.final_conv.add_module(str(n), nn.Conv3d(num_channel - round(n * fac), num_channel - round((n + 1) * fac), 1))
else:
self.model.final_conv = nn.Conv3d(dict_model['init_channel_number'], dict_model['out_channels'],
1)
self.model.load_state_dict(torch.load(dict_model['model_file'], map_location='cpu'))
self.model.to(self.device)
print("Model Loaded !")
|
import vectorEntrenamiento as vE
TrainingSet = []
TrainingSet.append( vE.VectorEntrenamiento( [23.3, 5, 15.2, 97.1], 0 ) ) #Enero
TrainingSet.append( vE.VectorEntrenamiento( [27.2, 5.4, 16.3, 124.8], 0 ) ) #Febrero
TrainingSet.append( vE.VectorEntrenamiento( [29.7, 6.4, 18.1, 201.4], 0 ) ) #Marzo
TrainingSet.append( vE.VectorEntrenamiento( [32.1, 9.3, 20.7, 237.2], 0 ) ) #Abril
TrainingSet.append( vE.VectorEntrenamiento( [33.1, 11.8, 22.5, 258.1], 0 ) ) #Mayo
TrainingSet.append( vE.VectorEntrenamiento( [30.7, 15.5, 23.1, 178], 1 ) ) #Junio
TrainingSet.append( vE.VectorEntrenamiento( [28, 16.3, 22.2, 138.6], 1 ) ) #Julio
TrainingSet.append( vE.VectorEntrenamiento( [27.6, 16.2, 21.9, 116.8], 1 ) ) #Agosto
TrainingSet.append( vE.VectorEntrenamiento( [27.2, 16.1, 21.7, 111.6], 1 ) ) #Septiembre
TrainingSet.append( vE.VectorEntrenamiento( [26.7, 13.1, 19.9, 114.5], 0 ) ) #Octubre
TrainingSet.append( vE.VectorEntrenamiento( [26.1, 8, 17.1, 99.4], 0 ) ) #Noviembre
TrainingSet.append( vE.VectorEntrenamiento( [25.3, 5, 15.1, 89.3], 0 ) ) #Diciembre
|
#!/usr/bin/env python
import pygame
import mimo
from utils import utils
from utils import neopixelmatrix as graphics
from utils import ringpixel as ring
from utils.NeoSprite import NeoSprite, AnimatedNeoSprite, TextNeoSprite, SpriteFromFrames
from utils.NewsProvider import news
from utils import constants
from random import random
from scenes.BaseScene import SceneBase
from scenes.optimizations import get_next_pair
# Edit Scene
# PLAY STATUS #2
# should load material into the slots,
# in screen should display info about the news
# when player selects a material, it should be assigned
# and displayed in screen,
# main screen should also display info about implications of the
# selected material
#
# when player will be ready the next screen should be optimization
class EditEventScene(SceneBase):
def hook(self, right_mtl, mtl):
if right_mtl:
return 7 if mtl['target'] == 1 else 4
else:
return 2
def plot(self, right_mtl, mtl):
if right_mtl:
return 5 if mtl['target'] == 2 else 4
else:
return 1
def conclusion(self, right_mtl, mtl):
if right_mtl:
return 7 if mtl['target'] == 3 else 4
else:
return 2
def __init__(self):
SceneBase.__init__(self)
# initialize state
self.image_positions = [
{ 'x': 400, 'y': 500 },
{ 'x': 400 + 340, 'y': 500 },
{ 'x': 400 + (340 * 2), 'y': 500 },
{ 'x': 400 + (340 * 3), 'y': 500 }
]
self.sequence = [-1, -1, -1, -1]
self.material = [False, False, False, False, False, False]
self.busy_slots = 0
self.popupActive = False
self.can_optimize = False
self.showing_minigame_tutorial = False
self.selected_minigame = ""
self.impact = 0
self.mtl_switcher = {
0: self.hook,
1: self.plot,
2: self.plot,
3: self.conclusion
}
self.available_minigames = []
self.no_facts = False
# Cargar el arreglo de direcciones pa' la musique
self.MX = []
self.MX.append('assets/audio/MX/DirtySoil.ogg')
self.MX.append('assets/audio/MX/DystopianBallad.ogg')
self.MX.append('assets/audio/MX/LazyBartender.ogg')
self.MX.append('assets/audio/MX/LostInParadise.ogg')
self.MX.append('assets/audio/MX/PapayaJuice.ogg')
self.MX.append('assets/audio/MX/RetroDance.ogg')
self.MX.append('assets/audio/MX/SunnyBeach.ogg')
self.MX.append('assets/audio/MX/TimeTraveler.ogg')
self.MX.append('assets/audio/MX/WeirdJungle.ogg')
self.MX.append('assets/audio/MX/WhereAreYou.ogg')
# Cargar arreglos de SFX
audio_path = 'assets/audio/SFX/M_OS/'
self.UI_MatSel = []
self.UI_MatSel.append(utils.get_sound(audio_path + 'UI_MatSel_01.ogg'))
self.UI_MatSel.append(utils.get_sound(audio_path + 'UI_MatSel_02.ogg'))
self.UI_MatSel.append(utils.get_sound(audio_path + 'UI_MatSel_03.ogg'))
self.UI_MatSel.append(utils.get_sound(audio_path + 'UI_MatSel_04.ogg'))
self.UI_EndGame = utils.get_sound(audio_path + 'UI_EndGame.ogg')
self.UI_EndGame.set_volume(1)
self.UI_SwitchScene = utils.get_sound('assets/audio/SFX/Scanning/MG1_ObjSort.ogg')
# Preparar la máquina para la destrucción
self.SetupMimo()
# ─────────────────────────────────────────────────────────────────────┐
# obtener el hecho o ir a la pantalla de resultados
if constants.currento_evento == len(news):
self.no_facts = True
self.AddTrigger(0.16, self, 'SwitchToScene', "Results")
constants.currento_evento = 0
self.current_event = news[constants.currento_evento]
self.current_frame = '???'
constants.currento_evento += 1
# obtener el material del hecho
self.event_mtl = self.current_event['material']
# ─────────────────────────────────────────────────────────────────────┘
# setup the layout for the scene
self.SetupLayout()
self.images = []
self.details = []
for mtl in self.event_mtl:
mtl_dtl = utils.Text(
mtl['detail'][constants.language],
self.normal_font,
color = constants.PALETTE_TEXT_CYAN
)
mtl_dtl.setAnchor(0, 0)
mtl_img = utils.Sprite(constants.MATERIAL + mtl['img'])
mtl_img.SetOpacity(64)
self.images.append(mtl_img)
self.details.append(mtl_dtl)
material_indexes = [0, 1, 2, 4, 5, 6]
index = 0
# set buttons to switch mode
for material in self.current_event['material']:
line1_text = utils.align_text(material['label'][constants.language][0], index < 3, 16, ' ')
line2_text = utils.align_text(material['label'][constants.language][1], index < 3, 16, ' ')
mimo.set_material_buttons_light([index] + material['color'])
#mimo.set_material_leds_color([material_indexes[index]] + material['color'])
mimo.lcd_display_at(index, line1_text, 1)
mimo.lcd_display_at(index, line2_text, 2)
index += 1
# reset material buttons
# lock optimization buttons and knobs
# set material buttons mode to switch
# animate emosensemeter...
def SetupMimo(self):
mimo.set_led_brightness(150)
mimo.set_buttons_enable_status(True, False)
mimo.set_independent_lights(False, True)
mimo.set_material_buttons_mode([0,0, 1,0, 2,0, 3,0, 4,0, 5,0, 6,0, 7,0])
mimo.set_material_buttons_active_status([0,0, 1,0, 2,0, 3,0, 4,0, 5,0, 6,0, 7,0])
def SetupLayout(self):
# Poner a sonar una rola
utils.play_music(self.MX[(int(random() * 10))], -1, 0.1, 0.6)
# El marco para la información
self.info_frame = utils.Sprite(
constants.SPRITES_EDITION + 'current_news-frame.png',
constants.VIEWPORT_CENTER_X,
182
)
# El icono del hecho
self.icon = utils.Sprite(
constants.EVENTS + self.current_event['ico']
)
# self.icon.Scale([0.75, 0.75])
self.icon.SetPosition(146, 183)
# El título del hecho y el objetivo a alcanzar con la noticia
self.fact_title = utils.Text(
('fact' if constants.language == 'en' else 'hecho') +
': ' + self.current_event['ovw'][constants.language] +
'\n\n' +
('goal' if constants.language == 'en' else 'objetivo') +
': ' + self.current_event['gol'][constants.language],
self.normal_font,
color = constants.PALETTE_TEXT_PURPLE
)
self.fact_title.setAnchor(0, 0)
self.fact_title.SetPosition(274, 84)
# TODO: reemplazar esto por un número o una barra que muestre el impacto que está generando la edición
# El sesgo generado
self.default_framing = 'no opinion bias set yet. select material to start framing the news.'
if constants.language == 'es':
self.default_framing = 'seleccione material para generar una opinión'
self.news_framing = utils.Text(
self.default_framing,
self.normal_font,
color = constants.PALETTE_TEXT_RED
)
self.news_framing.setAnchor(0, 0)
self.news_framing.SetPosition(274, 218)
# El fondo para la trama
self.timeline_back = utils.Sprite(
constants.SPRITES_EDITION + 'storyline-background.png',
constants.VIEWPORT_CENTER_X,
606
)
self.mtl_slots_frames = [
utils.Sprite(constants.SPRITES_EDITION + 'mtl_slot.png', 170, 440),
utils.Sprite(constants.SPRITES_EDITION + 'mtl_slot.png', 483, 440),
utils.Sprite(constants.SPRITES_EDITION + 'mtl_slot.png', 797, 440),
utils.Sprite(constants.SPRITES_EDITION + 'mtl_slot.png', 1110, 440)
]
story_layout = {
'1': {
'en': ['hook', 170],
'es': ['gancho', 170]
},
'2': {
'en': ['plot', constants.VIEWPORT_CENTER_X],
'es': ['argumento', constants.VIEWPORT_CENTER_X]
},
'3': {
'en': ['conclusion', 1110],
'es': ['conclusión', 1110]
}
}
self.news_hook = utils.Text(
story_layout['1'][constants.language][0],
self.subtitle_font,
color = constants.PALETTE_TEXT_BLACK
)
self.news_hook.SetPosition(story_layout['1'][constants.language][1], 605)
self.news_conflict = utils.Text(
story_layout['2'][constants.language][0],
self.subtitle_font,
color = constants.PALETTE_TEXT_BLACK
)
self.news_conflict.SetPosition(story_layout['2'][constants.language][1], 605)
self.news_conclusion = utils.Text(
story_layout['3'][constants.language][0],
self.subtitle_font,
color = constants.PALETTE_TEXT_BLACK
)
self.news_conclusion.SetPosition(story_layout['3'][constants.language][1], 605)
# ???
self.popupLabel = utils.Text('popup', self.subtitle_font)
self.popupLabel.setAnchor(0.5, 0)
self.popupLabel.SetPosition(640, 120)
# add da ui
finish_edition_layout = {
'text': {
'en': 'press to finish edition',
'es': 'presiona para terminar de editar'
},
'icon': {
'en': 853,
'es': 704
}
}
self.SetupUI()
self.render_right_progress = False
self.right_progress_label.SetText(finish_edition_layout['text'][constants.language])
self.right_progress_icon.SetPosition(
finish_edition_layout['icon'][constants.language],
645
)
def SetupPopupLayout(self):
self.available_minigames = get_next_pair()
self.popup_background = utils.Sprite(
constants.SPRITES_EDITION + 'minigames-popup.png',
constants.VIEWPORT_CENTER_X,
351
)
self.popup_title = utils.Text(
self.current_event['hdl'][constants.language],
self.subtitle_font,
color = constants.PALETTE_TEXT_CYAN
)
self.popup_title.setAnchor(0.5, 0)
self.popup_title.SetPosition(constants.VIEWPORT_CENTER_X, 100)
self.popup_framing = utils.Text(
# self.current_frame, # por si se quiere mostrar el framing generado
'Selecciona una de las siguientes mejoras para optimizar el impacto que tendrá la noticia',
self.normal_font,
color= constants.PALETTE_TEXT_PURPLE
)
self.popup_framing.setAnchor(0, 0)
self.popup_framing.SetPosition(
constants.POPUP_X + 50,
185
)
minigame_data_a = self.available_minigames[0]
minigame_data_b = self.available_minigames[1]
# minigame 1
self.icon_back_a= utils.Sprite(
'assets/sprites/scenes/edition/icon_frame.png',
336,
360
)
self.icon_minigame_a = utils.Sprite(
'assets/minigame_icons/'+minigame_data_a["icon"],
336,
360
)
self.title_minigame_a = utils.Text(
minigame_data_a["title"][constants.language],
self.subtitle_font,
336,
480,
color= constants.PALETTE_TEXT_CYAN
)
self.description_minigame_a = utils.Text(
minigame_data_a["pitch"][constants.language],
self.normal_font,
111,
500,
color= constants.PALETTE_TEXT_PURPLE
)
self.description_minigame_a.setAnchor(0,0)
# minigame 2
self.icon_back_b= utils.Sprite(
'assets/sprites/scenes/edition/icon_frame.png',
937,
360
)
self.icon_minigame_b = utils.Sprite(
'assets/minigame_icons/'+minigame_data_b["icon"],
937,
360
)
self.title_minigame_b = utils.Text(
minigame_data_b["title"][constants.language],
self.subtitle_font,
937,
480,
color= constants.PALETTE_TEXT_CYAN
)
self.description_minigame_b = utils.Text(
minigame_data_b["pitch"][constants.language],
self.normal_font,
712,
500,
color= constants.PALETTE_TEXT_PURPLE
)
self.description_minigame_b.setAnchor(0,0)
def ProcessInput(self, events, pressed_keys):
for event in events:
if event.type == pygame.KEYDOWN and event.key == pygame.K_q:
self.assign_material_to_sequence(0)
if event.type == pygame.KEYDOWN and event.key == pygame.K_a:
self.assign_material_to_sequence(1)
if event.type == pygame.KEYDOWN and event.key == pygame.K_z:
self.assign_material_to_sequence(2)
if event.type == pygame.KEYDOWN and event.key == pygame.K_o:
self.assign_material_to_sequence(3)
if event.type == pygame.KEYDOWN and event.key == pygame.K_k:
self.assign_material_to_sequence(4)
if event.type == pygame.KEYDOWN and event.key == pygame.K_m:
self.assign_material_to_sequence(5)
if event.type == pygame.KEYDOWN and event.key == pygame.K_i:
if self.can_optimize and not self.popupActive:
# open the optimization popup
self.render_left_progress = True
self.UI_SwitchScene.play()
self.OpenPopup()
elif self.popupActive:
if self.showing_minigame_tutorial:
self.UI_SwitchScene.play()
self.PlayMinigame(self.selected_minigame)
else:
self.UI_SwitchScene.play()
self.ShowMinigame(constants.MINIGAME_RIGHT)
if event.type == pygame.KEYDOWN and event.key == pygame.K_w:
if self.popupActive:
self.UI_SwitchScene.play()
self.ShowMinigame(constants.MINIGAME_LEFT)
def Update(self, dt):
SceneBase.Update(self, dt)
if self.no_facts: return
if self.showing_minigame_tutorial:
self.minigame_preview.updateFrame(dt)
ring.fill_percentage(self.percentage)
def RenderBody(self, screen):
if self.popupActive:
self.RenderPopup(screen)
return
self.info_frame.RenderWithAlpha(screen)
self.icon.RenderWithAlpha(screen)
# render texts
self.fact_title.render_multiline_truncated( screen, 954 )
for slot in self.mtl_slots_frames:
# TODO: change the frame of the mtl slot if it is being used
slot.RenderWithAlpha(screen)
self.timeline_back.RenderWithAlpha(screen)
self.news_hook.RenderWithAlpha(screen)
self.news_conflict.RenderWithAlpha(screen)
self.news_conclusion.RenderWithAlpha(screen)
index = 0
for slot in self.sequence:
if slot != -1:
self.images[slot].SetPosition(
self.mtl_slots_frames[index].x,
self.mtl_slots_frames[index].y
)
self.images[slot].RenderWithAlpha(screen)
self.details[slot].SetPosition(
self.mtl_slots_frames[index].x - 138 + 16,
self.mtl_slots_frames[index].y - 132 + 16
)
self.details[slot].render_multiline_truncated(screen, 260, 248)
index += 1
if self.can_optimize:
self.right_progress_label.RenderWithAlpha(screen)
self.right_progress_icon.RenderWithAlpha(screen)
self.news_framing.render_multiline_truncated( screen, 954 )
# render countdown
self.countdown_label.RenderWithAlpha(screen)
self.RenderCortain(screen)
self.RenderTimeoutAlert(screen)
def assign_material_to_sequence(self, index):
if self.busy_slots == 4 and not self.material[index]: return
self.material[index] = not self.material[index]
slot_index = 0
for slot in self.sequence:
if not self.material[index] and slot == index:
self.sequence[slot_index] = -1
self.set_material_inactive(index, slot_index)
self.busy_slots -= 1
self.update_impact(slot_index, index, False)
break
elif slot == -1 and self.material[index]:
self.sequence[slot_index] = index
self.set_material_active(index, slot_index)
self.busy_slots += 1
self.update_impact(slot_index, index)
break
slot_index += 1
self.can_optimize = self.busy_slots > 0
mimo.set_material_buttons_light([6, 0xf7, 0x5a, 0xff])
mimo.set_material_buttons_active_status([6, int(self.can_optimize)])
# if busy_slots>4 should lock the unselected buttons
def update_impact(self, slot_index, index, sum = True):
right_mtl = False
if 'target' in self.event_mtl[index]:
right_mtl = True
val = self.mtl_switcher.get(slot_index)(right_mtl, self.event_mtl[index])
self.impact += val if sum else -val
if self.impact >= 16:
self.current_frame = self.current_event['framing']['excellent'][constants.language] + ' [ ! ]'
elif self.impact >= 6:
self.current_frame = self.current_event['framing']['good'][constants.language]
elif self.impact > 0:
self.current_frame = self.current_event['framing']['bad'][constants.language]
else:
self.current_frame = self.default_framing
self.news_framing.SetText(self.current_frame)
def set_material_active(self, index, slot_index):
self.UI_MatSel[int(random()*3)].play()
material = self.current_event['material'][index]
mimo.set_material_leds_color([24+slot_index]+material['color'])
def set_material_inactive(self, index, slot_index):
material = self.current_event['material'][index]
mimo.set_material_leds_color([24+slot_index, 0,0,0])
def OpenPopup(self):
self.SetupPopupLayout()
self.popupActive = True
self.dirty_rects = [
(
constants.POPUP_X,
constants.POPUP_Y,
constants.POPUP_WIDTH,
constants.POPUP_HEIGHT
),
(0, 630, constants.VIEWPORT_WIDTH, 90),
(
self.countdown_label.position[0],
self.countdown_label.position[1],
self.countdown_label.text.get_width(),
self.countdown_label.text.get_height()
)
]
random_color = (
int(random() * 255),
int(random() * 255),
int(random() * 255)
)
right_label_layout = {
'text': {
'en': 'press to ',
'es': 'presiona para '
},
'pos': {
'en': 907,
'es': 968 - 60
}
}
self.right_progress_label.SetText(
right_label_layout['text'][constants.language] + self.available_minigames[1]["title"][constants.language]
)
self.right_progress_label.setAnchor(0, 0.5)
self.right_progress_label.SetPosition(730 - 30, 675)
self.right_progress_icon.setAnchor(0.5, 0.5)
self.right_progress_icon.SetPosition(
right_label_layout['pos'][constants.language],
675
)
random_color = (
int(random() * 255),
int(random() * 255),
int(random() * 255)
)
left_label_layout = {
'text': {
'en': 'press to ',
'es': 'presiona para '
},
'pos': {
'en': [170, 316],
'es': [50 - 20, 290 - 50]
}
}
self.left_progress_label.SetText(
left_label_layout['text'][constants.language] + self.available_minigames[0]["title"][constants.language]
)
self.left_progress_label.setAnchor(0, 0.5)
self.left_progress_label.SetPosition(
left_label_layout['pos'][constants.language][0],
675
)
self.left_progress_icon.setAnchor(0.5, 0.5)
self.left_progress_icon.SetPosition(
left_label_layout['pos'][constants.language][1],
675
)
self.render_right_progress = True
mimo.set_material_buttons_light([7, 0x8b, 0x27, 0xff, 6, 0xf7, 0x5a, 0xff])
mimo.set_material_buttons_active_status([6,1, 7,1])
def ClosePopup(self):
self.popupActive = False
self.dirty_rects = [
(
constants.POPUP_X,
constants.POPUP_Y,
constants.POPUP_WIDTH,
constants.POPUP_HEIGHT
),
(0, 630, constants.VIEWPORT_WIDTH, 90)
]
def RenderPopup(self, screen):
self.RenderUI(screen)
self.popup_background.RenderWithAlpha(screen)
self.popup_title.render_multiline_truncated(
screen,
1089,
constants.FONT_TITLE * 2 +5
)
if not self.showing_minigame_tutorial:
self.popup_framing.render_multiline_truncated(screen, 1088 - 32, 86)
self.icon_back_a.RenderWithAlpha(screen)
self.icon_minigame_a.RenderWithAlpha(screen)
self.title_minigame_a.render(screen)
self.description_minigame_a.render_multiline_truncated(screen, 450, 300)
self.icon_back_b.RenderWithAlpha(screen)
self.icon_minigame_b.RenderWithAlpha(screen)
self.title_minigame_b.render(screen)
self.description_minigame_b.render_multiline_truncated(screen, 450, 300)
else:
self.minigame_title.RenderWithAlpha(screen)
self.minigame_optimization_sub.render(screen)
self.minigame_icon_back.RenderWithAlpha(screen)
self.minigame_icon.RenderWithAlpha(screen)
self.minigame_desc.render_multiline_truncated(screen, 480, 500)
self.minigame_goal_label.render(screen)
self.minigame_goal.render_multiline_truncated(screen, 550, 500)
self.minigame_preview.RenderFrame(screen)
# load images for minigames
def ShowMinigame(self, side):
# TODO: load the specific mini-game info. based on the chosen side
self.showing_minigame_tutorial = True
selected_minigame = self.available_minigames[side]
self.selected_minigame = selected_minigame["scene"]
minigame_color = self.left_progress_label.color \
if side == constants.MINIGAME_LEFT else self.right_progress_label.color
self.minigame_title = utils.Text(
'how to play?' if constants.language == 'en' else 'funcionamiento',
self.subtitle_font,
color = constants.PALETTE_TEXT_CYAN
)
self.minigame_title.setAnchor(0, 0)
self.minigame_title.SetPosition(310, 240)
self.minigame_optimization_sub = utils.Text(
# 'optimization' if constants.language == 'en' else 'optimización',
selected_minigame["title"][constants.language],
self.subtitle_font,
color = constants.PALETTE_TEXT_RED
)
self.minigame_optimization_sub.SetPosition(constants.VIEWPORT_CENTER_X, 175)
self.minigame_icon_back = utils.Sprite(
'assets/sprites/scenes/edition/icon_frame.png',
110,
240+87
)
self.minigame_icon_back.setAnchor(0,0.5)
self.minigame_icon = utils.Sprite(
'assets/minigame_icons/'+selected_minigame["icon"],
114,
240+87
)
self.minigame_icon.setAnchor(0,0.5)
self.minigame_desc = utils.Text(
selected_minigame["description"][constants.language],
self.normal_font,
310,
300,
color= constants.PALETTE_TEXT_PURPLE
)
self.minigame_desc.setAnchor(0,0)
self.minigame_goal_label = utils.Text(
'goal:' if constants.language == 'en' else 'objetivo:',
self.subtitle_font,
300,
500,
color= constants.PALETTE_TEXT_PURPLE
)
self.minigame_goal_label.setAnchor(1,0)
self.minigame_goal = utils.Text(
selected_minigame["goal"][constants.language],
self.normal_font,
310,
500,
color= constants.PALETTE_TEXT_PURPLE
)
self.minigame_goal.setAnchor(0,0)
self.minigame_preview = utils.Sprite(
'assets/minigame_icons/'+selected_minigame["preview"],
selected_minigame["preview_x"],
selected_minigame["preview_y"]
)
self.minigame_preview.frameDelay = selected_minigame["preview_rate"]
self.minigame_preview.frameWidth = selected_minigame["preview_width"]
self.minigame_preview.frameHeight = selected_minigame["preview_height"]
self.minigame_preview.animationFrames = selected_minigame["preview_frames"]
self.minigame_preview.setAnchor(0,0)
self.percentage = 0
start_label = {
'title': {
'en': 'press to start',
'es': 'presiona para empezar'
},
'pos': {
'en': 907,
'es': 968 - 60
}
}
self.right_progress_label.SetColor(minigame_color)
self.right_progress_label.SetText(start_label['title'][constants.language])
self.right_progress_icon.SetPosition(
start_label['pos'][constants.language],
675
)
self.render_left_progress = False
mimo.set_material_buttons_active_status([6,1, 7,0])
def PlayMinigame(self, name):
constants.score += self.impact
self.CloseEvent(1.1)
self.AddTween("easeInSine", 1.1, self, "percentage", 0, 1.1, 0)
self.AddTrigger(1.2, self, 'SwitchToScene', name)
|
def reverseArray(alist):
alist.reverse()
print(alist)
list1=[1, 2, 3, 4, 5, 6]
list2=[89, 2354, 3546, 23, 10, -923, 823, -12]
list3=[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199]
reverseArray(list1)
reverseArray(list2)
reverseArray(list3)
def reverseArray2(alist):
new=alist.copy()
anew=new[::-1]
print(new,"saassaaasda")
print(anew,"sdsd")
reverseArray2(list1)
reverseArray2(list2)
reverseArray2(list3)
|
# -*- coding: utf-8 -*-
"""Functions to get data from NWP models.
So far just TDS data and the public ECMWF FTP site.
"""
import abc
import dataclasses
import datetime
import getpass
import os
import typing
import urllib.request
from contextlib import closing
import numpy as np
import xarray
from metpy.constants import earth_avg_radius as EARTH_RADIUS # noqa: N812
from metpy.units import units
from siphon.catalog import TDSCatalog
HOURS_PER_DAY = 24
SECONDS_PER_HOUR = 3600
METPY_DEPENDENT_VARIABLES = {
"wind_speed": ["x_wind", "y_wind"],
"vorticity": ["x_wind", "y_wind"],
"dew_point_temperature": ["air_temperature", "relative_humidity"],
}
PRESSURE_VARIABLES = frozenset(
["air_temperature", "geopotential_height", "x_wind", "y_wind", "relative_humidity"]
)
HEIGHT_2M_VARIABLES = frozenset(["air_temperature", "dew_point_temperature"])
HEIGHT_10M_VARIABLES = frozenset(["x_wind", "y_wind"])
SINGLE_LEVEL_VARIABLES = frozenset(
[
"air_pressure_at_mean_sea_level",
"surface_air_pressure",
"low_type_cloud_area_fraction",
"medium_type_cloud_area_fraction",
"high_type_cloud_area_fraction",
"cloud_area_fraction",
"atmosphere_mass_content_of_water_vapor",
]
)
VariableMap = typing.Dict[str, typing.Union[str, typing.Dict[str, str]]]
@dataclasses.dataclass # type: ignore
class NwpDataSource(abc.ABC):
"""Interface for data sources."""
pressure_level_units: str
variable_mapping: VariableMap
def convert_pressure_to_reported_units(self, pressure: int) -> int:
"""Convert pressure from hPa to model-reported units.
Parameters
----------
pressure: int
Returns
-------
int
"""
return int(units(f"{pressure:d} hPa").to(self.pressure_level_units).magnitude)
@abc.abstractmethod
def get_model_data_pressure(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
pressure_mb: int,
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
pressure_mb: int
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
@abc.abstractmethod
def get_model_data_height(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
height_m: int,
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
height_m: int
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
@abc.abstractmethod
def get_model_data_single_level(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
@dataclasses.dataclass
class TDSDataSource(NwpDataSource):
"""Class for data from TDS server."""
tds_catalog_url: str
tds_catalog_pattern: str
def get_model_data_pressure(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
pressure_mb: int,
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
pressure_mb: int
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
assert init_time <= valid_time
level = int(self.convert_pressure_to_reported_units(pressure_mb))
variable_mapping = self.variable_mapping
cast = typing.cast
def get_variable_name(var_name: str) -> typing.List[str]:
"""Get the name(s) used by the model for the variable.
Will give variables used to derive that variable if needed.
Parameters
----------
var_name: str
Returns
-------
list of str
"""
try:
result = [
cast("Dict[str, str]", variable_mapping[var_name])["pressure"]
]
except KeyError:
result = [
cast("Dict[str, str]", variable_mapping[name])["pressure"]
for name in METPY_DEPENDENT_VARIABLES[var_name]
]
return result
try:
main_catalog = TDSCatalog(self.tds_catalog_url)
this_catalog = main_catalog.catalog_refs[
self.tds_catalog_pattern.format(init_time=init_time)
].follow()
tds_ds = this_catalog.datasets[0]
except KeyError:
raise KeyError("Data for specified initial time not available") from None
ncss = tds_ds.subset()
query = ncss.query()
query.lonlat_box(
west=bbox_wesn[0],
east=bbox_wesn[1],
south=bbox_wesn[2],
north=bbox_wesn[3],
)
query.time(valid_time)
query.accept("netcdf4")
query.variables(
*[var_name for name in variables for var_name in get_variable_name(name)]
)
query.vertical_level(level)
data = ncss.get_data(query)
dataset: xarray.Dataset = xarray.open_dataset( # type: ignore
xarray.backends.NetCDF4DataStore(data) # type: ignore
)
# The dataset isn't fully CF, since Unidata doesn't set standard
# names, but this at least gets me the projection.
return dataset
def get_model_data_height(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
height_m: int,
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
height_m: int
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
assert init_time <= valid_time
level = height_m
variable_mapping = self.variable_mapping
cast = typing.cast
def get_variable_name(var_name: str) -> typing.List[str]:
"""Get the name(s) used by the model for the variable.
Will give variables used to derive that variable if needed.
Parameters
----------
var_name: str
Returns
-------
list of str
"""
try:
result = [cast("Dict[str, str]", variable_mapping[var_name])["height"]]
except KeyError:
result = [
cast("Dict[str, str]", variable_mapping[name])["height"]
for name in METPY_DEPENDENT_VARIABLES[var_name]
]
return result
try:
main_catalog = TDSCatalog(self.tds_catalog_url)
this_catalog = main_catalog.catalog_refs[
self.tds_catalog_pattern.format(init_time=init_time)
].follow()
tds_ds = this_catalog.datasets[0]
except KeyError:
raise KeyError("Data for specified initial time not available") from None
ncss = tds_ds.subset()
query = ncss.query()
query.lonlat_box(
west=bbox_wesn[0],
east=bbox_wesn[1],
south=bbox_wesn[2],
north=bbox_wesn[3],
)
query.time(valid_time)
query.accept("netcdf4")
query.variables(
*[var_name for name in variables for var_name in get_variable_name(name)]
)
query.vertical_level(level)
data = ncss.get_data(query)
dataset: xarray.Dataset = xarray.open_dataset( # type: ignore
xarray.backends.NetCDF4DataStore(data) # type: ignore
)
# The dataset isn't fully CF, since Unidata doesn't set standard
# names, but this at least gets me the projection.
return dataset
def get_model_data_single_level(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
assert init_time <= valid_time
variable_mapping = self.variable_mapping
cast = typing.cast
def get_variable_name(var_name: str) -> typing.List[str]:
"""Get the name(s) used by the model for the variable.
Will give variables used to derive that variable if needed.
Parameters
----------
var_name: str
Returns
-------
list of str
"""
try:
result = [cast("str", variable_mapping[var_name])]
except KeyError:
result = [
cast("str", variable_mapping[name])
for name in METPY_DEPENDENT_VARIABLES[var_name]
]
return result
try:
main_catalog = TDSCatalog(self.tds_catalog_url)
this_catalog = main_catalog.catalog_refs[
self.tds_catalog_pattern.format(init_time=init_time)
].follow()
tds_ds = this_catalog.datasets[0]
except KeyError:
raise KeyError("Data for specified initial time not available") from None
ncss = tds_ds.subset()
query = ncss.query()
query.lonlat_box(
west=bbox_wesn[0],
east=bbox_wesn[1],
south=bbox_wesn[2],
north=bbox_wesn[3],
)
query.time(valid_time)
query.accept("netcdf4")
query.variables(
*[var_name for name in variables for var_name in get_variable_name(name)]
)
data = ncss.get_data(query)
dataset: xarray.Dataset = xarray.open_dataset( # type: ignore
xarray.backends.NetCDF4DataStore(data) # type: ignore
)
# The dataset isn't fully CF, since Unidata doesn't set standard
# names, but this at least gets me the projection.
return dataset
@dataclasses.dataclass
class EcmwfFtpDataSource(NwpDataSource):
"""Class for data from public ECMWF FTP server."""
ftp_domain: str
ftp_login_name: str
ftp_pressure_data_path_pattern: str
ftp_single_level_data_path_pattern: str
def get_model_data_pressure(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
pressure_mb: int,
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
pressure_mb: int
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
assert init_time <= valid_time
variable_mapping = self.variable_mapping
cast = typing.cast
def get_variable_name(var_name: str) -> typing.List[str]:
"""Get the name(s) used by the model for the variable.
Will give variables used to derive that variable if needed.
Parameters
----------
var_name: str
Returns
-------
list of str
"""
try:
result = [cast("str", variable_mapping[var_name])]
except KeyError:
result = [
cast("str", variable_mapping[name])
for name in METPY_DEPENDENT_VARIABLES[var_name]
]
return result
dataset = xarray.Dataset()
lead_time = valid_time - init_time
lead_time_hours = (
lead_time.days * HOURS_PER_DAY + lead_time.seconds // SECONDS_PER_HOUR
)
time_chars = {96: "M", 72: "K", 48: "I", 24: "E", 120: "O", 144: "Q"}
time_chr = time_chars[lead_time_hours]
password = os.environ.get("ECMWF_PUBLIC_FTP_PASSWORD", "")
if password == "":
password = getpass.getpass("ECMWF public FTP server password:")
for var in variables:
var_names = get_variable_name(var)
for var_name in var_names:
with closing(
urllib.request.urlopen(
"ftp://{user:s}:{password:s}@{domain:s}/{path:s}".format(
user=self.ftp_login_name,
password=password,
domain=self.ftp_domain,
path=self.ftp_pressure_data_path_pattern.format(
init_time=init_time,
variable_upper=var_name.upper(),
variable_lower=(
var_name.lower() if var_name != "H" else "gh"
),
lead_time_hours=lead_time_hours,
level_kpa=pressure_mb // 10,
level_hpa=pressure_mb,
time_chr=time_chr,
),
)
)
) as ftp_data:
grib_data = ftp_data.read()
dataset[var_name] = xarray_from_grib_data(grib_data)
return dataset
def get_model_data_height(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
height_m: int,
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
height_m: int
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
raise NotImplementedError("ECMWF doesn't provide data on height levels")
def get_model_data_single_level(
self,
init_time: datetime.datetime,
valid_time: datetime.datetime,
variables: typing.Iterable[str],
bbox_wesn: typing.Tuple[float, float, float, float],
) -> xarray.Dataset:
"""Get the given data from the model.
Parameters
----------
init_time: datetime.datetime
valid_time: datetime.datetime
variables: list of str
bbox_wesn: tuple of float
Returns
-------
xarray.Dataset
"""
assert init_time <= valid_time
variable_mapping = self.variable_mapping
cast = typing.cast
def get_variable_name(var_name: str) -> typing.List[str]:
"""Get the name(s) used by the model for the variable.
Will give variables used to derive that variable if needed.
Parameters
----------
var_name: str
Returns
-------
list of str
"""
try:
result = [cast("str", variable_mapping[var_name])]
except KeyError:
result = [
cast("str", variable_mapping[name])
for name in METPY_DEPENDENT_VARIABLES[var_name]
]
return result
dataset = xarray.Dataset()
lead_time = valid_time - init_time
lead_time_hours = (
lead_time.days * HOURS_PER_DAY + lead_time.seconds // SECONDS_PER_HOUR
)
time_chars = {96: "M", 72: "K", 48: "I", 24: "E", 120: "O", 144: "Q"}
time_chr = time_chars[lead_time_hours]
password = os.environ.get("ECMWF_PUBLIC_FTP_PASSWORD", "")
if password == "":
password = getpass.getpass("ECMWF public FTP server password:")
for var in variables:
var_names = get_variable_name(var)
for var_name in var_names:
with closing(
urllib.request.urlopen(
"ftp://{user:s}:{password:s}@{domain:s}/{path:s}".format(
user=self.ftp_login_name,
password=password,
domain=self.ftp_domain,
path=self.ftp_single_level_data_path_pattern.format(
init_time=init_time,
variable_upper=var_name.upper(),
variable_lower=(
var_name.lower() if var_name != "H" else "gh"
),
lead_time_hours=lead_time_hours,
time_chr=time_chr,
),
)
)
) as ftp_data:
grib_data = ftp_data.read()
dataset[var_name] = xarray_from_grib_data(grib_data)
return dataset
def xarray_from_grib_data( # pylint: disable=too-many-locals,too-many-branches
grib_data: bytes,
) -> xarray.DataArray:
"""Produce an XArray dataset from binary grib data.
Parameters
----------
grib_data: bytes
Returns
-------
xarray.DataArray
"""
import eccodes
msg_id = eccodes.codes_new_from_message(grib_data)
try:
keys_iterator = eccodes.codes_keys_iterator_new(msg_id)
grib_attributes = {}
while eccodes.codes_keys_iterator_next(keys_iterator):
key_name = eccodes.codes_keys_iterator_get_name(keys_iterator)
if eccodes.codes_get_size(msg_id, key_name) == 1:
if eccodes.codes_is_missing(msg_id, key_name):
grib_attributes[key_name] = np.nan
else:
grib_attributes[key_name] = eccodes.codes_get(msg_id, key_name)
else:
grib_attributes[key_name] = eccodes.codes_get_array(msg_id, key_name)
finally:
eccodes.codes_release(msg_id)
num_rows = grib_attributes.pop("Nj")
num_cols = grib_attributes.pop("Ni")
field_values = grib_attributes.pop("values").reshape(num_rows, num_cols)
# Not sure what to do with these.
del grib_attributes["codedValues"]
latitudes = grib_attributes.pop("latitudes").reshape(num_rows, num_cols)
longitudes = grib_attributes.pop("longitudes").reshape(num_rows, num_cols)
del grib_attributes["latLonValues"]
forecast_reference_time = datetime.datetime(
grib_attributes.pop("year"),
grib_attributes.pop("month"),
grib_attributes.pop("day"),
grib_attributes.pop("hour"),
grib_attributes.pop("minute"),
grib_attributes.pop("second"),
)
forecast_period = datetime.timedelta(hours=grib_attributes.pop("forecastTime"))
level_type = grib_attributes.pop("typeOfLevel")
if level_type.startswith("isobaricIn"):
level = xarray.DataArray(
grib_attributes.pop("level"),
name="pressure",
attrs={
"standard_name": "air_pressure",
"units": level_type[10:],
},
)
else:
level = xarray.DataArray(
grib_attributes.pop("level"),
name="level",
attrs={"level_type": level_type},
)
standard_name = grib_attributes.pop("cfName")
grib_units = grib_attributes.pop("units")
field_min = grib_attributes.pop("minimum")
field_max = grib_attributes.pop("maximum")
missing_value = grib_attributes.pop("missingValue")
result: xarray.DataArray = xarray.DataArray(
field_values,
{
"latitudes": (
("latitude", "longitude"),
latitudes,
{
"standard_name": "latitude",
"units": "degrees_north",
},
),
"longitudes": (
("latitude", "longitude"),
longitudes,
{
"standard_name": "longitude",
"units": "degrees_east",
},
),
"forecast_reference_time": (
(),
forecast_reference_time,
{"standard_name": "forecast_reference_time"},
),
"forecast_period": (
(),
forecast_period,
{"standard_name": "forecast_period"},
),
"valid_time": (
(),
forecast_reference_time + forecast_period,
{"standard_name": "time"},
),
"level": level,
},
("latitude", "longitude"),
standard_name,
{
"standard_name": standard_name,
"units": grib_units,
"actual_range": (field_min, field_max),
},
{"_FillValue": missing_value, "grid_mapping_name": "latlon_crs"},
).load()
if "earthRadius" in grib_attributes and np.isfinite(grib_attributes["earthRadius"]):
earth_radius = grib_attributes.pop("earthRadius")
else:
earth_radius = EARTH_RADIUS.magnitude
result = result.metpy.assign_crs(
grid_mapping_name="latitude_longitude", earth_radius=earth_radius
)
if "name" in grib_attributes:
result.attrs["long_name"] = grib_attributes.pop("name")
result.coords["latlon_crs"] = ((), -1, result.metpy.pyproj_crs.to_cf())
try:
latitude = grib_attributes.pop("distinctLatitudes")
longitude = grib_attributes.pop("distinctLongitudes")
if all(np.isfinite(latitude)) and all(np.isfinite(longitude)):
result.coords.update(
{
"latitude": (
("latitude",),
latitude,
{
"standard_name": "latitude",
"units": "degrees_north",
},
),
"longitude": (
("longitude",),
longitude,
{
"standard_name": "longitude",
"units": "degrees_east",
},
),
}
)
except KeyError:
pass
result.attrs.update(
{
f"GRIB_{name:s}": value
for name, value in grib_attributes.items()
if value is not None
}
)
return result
|
import numpy as np
import sys
import math
import time
def coutingSort(lista,exp):
B,C,k = [],[],10
for i in range(k): C.append(0)
for j in range(len(lista)):
C[int((lista[j] / exp) % 10)] += 1
B.append(0)
for i in range(1,k): C[i] = C[i] + C[i-1]
for j in range((len(lista)-1), -1, -1):
B[C[int((lista[j] / exp) % 10)]-1] = lista[j]
C[int((lista[j] / exp) % 10)] = C[int((lista[j] / exp) % 10)] - 1
return B
def radixSort(lista):
maior, exp = max(lista), 1
while(int(maior/exp) > 0):
res = coutingSort(lista,exp)
lista = res
exp *= 10
return res
def lerArquivo():
arquivo = 'instancias-num/' + sys.argv[1]
f = open(arquivo,'r')
conteudo = f.readlines()
entrada = []
for i in range(len(conteudo)):
if(int(conteudo[i]) >= 0):
entrada.append(int(conteudo[i]))
return entrada
def escreveResultado(saida):
arquivo = 'resposta-radixSort-' + sys.argv[1]
f = open(arquivo, 'w')
res = []
for i in range(len(saida)): res.append(str(saida[i])+'\n')
f.writelines(res)
if __name__ == '__main__':
print("Lendo arquivo...")
entrada = lerArquivo()
print("Arquivo Lido!!")
print("\nProcessando...")
start = time.time()
saida = radixSort(entrada)
finish = time.time()
print("\nProcessado em: ",(finish - start), "s")
print("Escrevendo Arquivo...")
escreveResultado(saida)
#print(saida)
print("Concluído!")
|
'''
Created on Mar 28, 2015
@author: anthonydito
'''
import cPickle
import logging
import socket
import threading
import os
from Tkinter import *
logging.basicConfig(level=logging.DEBUG,
format='[%(levelname)s] (%(threadName)-15s) %(message)s',
)
class opponent(Frame):
def __init__(self, parent):
Frame.__init__(self, parent)
self.parent = parent
try:
self.insock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
except socket.error, msg:
logging.debug('Failed to create socket. Error code: '
+ str(msg[0]) + ' , Error message : '
+ msg[1]
)
try:
self.outsock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
except socket.error, msg:
logging.debug('Failed to create socket. Error code: '
+ str(msg[0]) + ' , Error message : '
+ msg[1]
)
self.outPort = 8887
self.inPort = 8888
self.BOX_WIDTH = 70
self.setUpIPChooser()
self.colors = ("black", "red")
self.gameOver = False
def setUpIPChooser(self):
self.f = Frame(self.parent)
self.parent.title("Anthony's IP Adress")
Label(self.f, text="Anthony's IP Adress").pack()
self.topE = Entry(self.f)
self.topE.pack()
Label(self.f, text="Your Username").pack()
self.usernameE = Entry(self.f)
self.usernameE.pack()
topB = Button(self.f, command = lambda:self.initSockets(), text="Establish Connection")
topB.pack()
self.f.pack()
def initSockets(self):
self.inThread = threading.Thread(target=lambda:self.inRunner())
self.inThread.daemon = True
self.inThread.name = "in thread"
self.host = self.topE.get().strip()
username = self.usernameE.get().strip()
self.inThread.start()
self.f.destroy()
try:
self.outsock.connect((self.host, self.outPort))
except Exception:
logging.debug("connection did not work")
#might want to put some code here to deal with the broken connection
self.initUI()
self.sendOut((7, username))
def initUI(self):
self.parent.title("AI Connect 4 - Opponent")
self.pack(fill=BOTH, expand=1)
for col in range(7):
b = Button(self, command=lambda col=col:self.move(col), width=6)
b.place(x=44+(col * self.BOX_WIDTH), y=15)
w = self.BOX_WIDTH * 7
h = self.BOX_WIDTH * 6
self.can = Canvas(self, width=w+20, height=h+20)
for i in range(8):
self.can.create_line(4+i*self.BOX_WIDTH, 0, 4 + i * self.BOX_WIDTH, h+4, width = 2)
for i in range(7):
self.can.create_line(0, 4+i*self.BOX_WIDTH, w+4, 4+i*self.BOX_WIDTH, width =2)
self.can.place(x=40, y=40)
self.textBoxUserMessage = Text(self, height=13, width=50)
self.textBoxUserMessage.place(x=w+60, y=50)
self.textBoxUserMessage.config(state=DISABLED, background="snow2")
self.textBoxSystemMessage = Text(self, height=13, width=50)
self.textBoxSystemMessage.place(x=w+60, y=260)
self.textBoxSystemMessage.config(state=DISABLED, background="snow2")
self.e = Entry(self, width=40)
self.e.place(x=w+60, y=20)
self.b = Button(self, command=lambda:self.sendAndCreateDialogMessage(), text="send")
self.b.place(x=w+355, y=20)
self.parent.geometry("950x550+100+100")
def move(self, col):
self.sendOut((4, col))
def inRunner(self):
try:
self.insock.connect((self.host, self.inPort))
while True:
reply = self.insock.recv(4096)
self.messageProcessor(reply)
except Exception, e:
logging.debug(e)
def messageProcessor(self, encodedMessage):
message = cPickle.loads(encodedMessage)
code = message[0]
if code == 0:
#a move was made
col = message[1]
row = message[2]
user = message[3]
self.makeMove(col, row, user)
elif code == 1:
#Move was denied
errorMessage = message[1]
self.insertSystemMessage(errorMessage)
elif code == 2:
#dialog message recieved
dialogMessage = message[1]
self.insertDialogMessage("Anthony Dito: " + dialogMessage)
elif code == 3:
#winner in the game
self.gameOver = True
results = message[1:]
self.insertSystemMessage("THE GAME IS OVER")
self.displayWinner(results)
elif code == 6:
voice = message[1]
self.sayVoiceMessage(voice)
elif code == 9:
isNewGame = message[1]
self.processAnswerNewGame(isNewGame)
def sendAndCreateDialogMessage(self):
message = self.e.get()
if len(message) > 0:
self.e.delete(0, END)
self.insertDialogMessage("You: " + message)
self.sendOut((2, message))
def sayVoiceMessage(self, message):
t = threading.Thread(target=lambda:self.talk(message))
t.daemon = True
t.start()
def talk(self, message):
os.system('say "%s"' % message)
def sendOut(self, message):
pickledMessage = cPickle.dumps(message, protocol=0)
self.outsock.sendall(pickledMessage)
def makeMove(self, col, row, player):
if self.gameOver:
return
self.can.create_oval(
4+(col*self.BOX_WIDTH),
4+(row*self.BOX_WIDTH),
4+((col + 1)*self.BOX_WIDTH),
4+((row + 1)*(self.BOX_WIDTH)),
fill=self.colors[player-1],
outline=self.colors[player-1],
)
def insertSystemMessage(self, message):
self.textBoxSystemMessage.config(state=NORMAL)
self.textBoxSystemMessage.insert("1.0", message + "\n")
self.textBoxSystemMessage.config(state=DISABLED)
def insertDialogMessage(self, message):
self.textBoxUserMessage.config(state=NORMAL)
self.textBoxUserMessage.insert("1.0", message + "\n")
self.textBoxUserMessage.config(state=DISABLED)
def displayWinner(self, results):
outcome = results[0]
numLosses = results[1]
numWins = results[2]
numTies = results[3]
self.gameOverTop = Toplevel()
if outcome == 0:
label1Text = "TIME GAME"
elif outcome == 1:
label1Text = "YOU LOSE"
else:
label1Text = "YOU WIN"
label2Text = "Record v. Anthony Dito\nWins: %d - Losses: %d - Ties: %d" % (numWins, numLosses, numTies)
l1 = Label(self.gameOverTop, text=label1Text)
l2 = Label(self.gameOverTop, text=label2Text)
l1.pack()
l2.pack()
self.requestNewGameButton = Button(self.gameOverTop, text="Request New Game", command = lambda:self.requestNewGame())
self.requestNewGameButton.pack()
def requestNewGame(self):
self.requestNewGameButton.destroy()
newLabel = Label(self.gameOverTop, text="New Game Requested")
newLabel.pack()
self.sendOut((8, ))
def processAnswerNewGame(self, isNewGame):
if isNewGame:
self.resetGUI()
self.gameOver = False
self.gameOverTop.destroy()
self.insertSystemMessage("NEW GAME STARTED")
else:
self.gameOverTop.destroy()
self.destroyTop = Toplevel()
l = Label(self.destroyTop, text="Request for new game denied")
l.pack()
b = Button(self.destroyTop, text="OK", command=lambda:self.destroyAll())
b.pack()
def destroyAll(self):
self.destroyTop.destroy()
self.parent.destroy()
def redoCanvas(self):
w = self.BOX_WIDTH * 7
h = self.BOX_WIDTH * 6
for i in range(8):
self.can.create_line(4+i*self.BOX_WIDTH, 0, 4 + i * self.BOX_WIDTH, h+4, width = 2)
for i in range(7):
self.can.create_line(0, 4+i*self.BOX_WIDTH, w+4, 4+i*self.BOX_WIDTH, width=2)
def resetGUI(self):
self.textBoxSystemMessage.config(state=NORMAL)
self.textBoxSystemMessage.delete("1.0", END)
self.textBoxSystemMessage.config(state=DISABLED)
self.textBoxUserMessage.config(state=NORMAL)
self.textBoxUserMessage.delete("1.0", END)
self.textBoxUserMessage.config(state=DISABLED)
self.can.delete("all")
self.redoCanvas()
self.e.delete(0, END)
if __name__ == '__main__':
root = Tk()
s = opponent(root)
root.mainloop()
|
name=input(str("Please input your name:"))
phone=input(str("Please input your phone number:"))
item=input(str("Please enter the name of the product you would like to purchase:"))
price=float(input("Price of the product:"))
qty=int(input("Quantity to purchase:"))
subtotal=(price*qty)
tax=(subtotal*0.06)
total=(tax+subtotal)
print()
print(name)
print(phone)
print("Purchase information:")
print()
print(item," Qty:",qty," Price: $",price)
print()
print("Subtotal: $",subtotal," Tax: $",tax," Total: $",total)
|
# This example uses a MovieWriter directly to grab individual frames and
# write them to a file. This avoids any event loop integration, but has
# the advantage of working with even the Agg backend. This is not recommended
# for use in an interactive setting.
# -*- noplot -*-
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import matplotlib.animation as manimation
FFMpegWriter = manimation.writers['ffmpeg']
metadata = dict(title='Movie Test', artist='Matplotlib',
comment='Movie support!')
writer = FFMpegWriter(fps=15, metadata=metadata)
fig = plt.figure()
l, = plt.plot([], [], 'k-o')
plt.xlim([-1,1]);
plt.ylim([0,1.1])
x0, y0 = 0, 0
# Set up simulation parameters
steps = 1000;
dt = 0.02;
num = 27;
R = 0.05;
samp = 30;
x = R*np.cos(np.linspace(-np.pi,np.pi,samp));
y = R*np.sin(np.linspace(-np.pi,np.pi,samp));
xy = np.transpose(np.array([x,y]));
xyw = np.genfromtxt('OUT/WALL.csv',delimiter=',');
with writer.saving(fig, "Particle_2D.mp4",100):
# First time frame
xy0 = np.genfromtxt('OUT/T0.0001.csv',delimiter=',');
for j in range(0,num):
xt = xy0[j,0] + x;
yt = xy0[j,1] + y;
plt.plot(xt,yt,'b');
plt.plot(xyw[:,0],xyw[:,1],'k');
plt.xlim([-1,1]);
plt.ylim([0,1.1])
plt.gca().set_aspect('equal');
writer.grab_frame();
plt.gca().clear();
# Plot different times
for i in range(0,steps):
time = (i+1)*dt;
print(time)
try:
xy0 = np.genfromtxt('OUT/T' + str((i+1)*dt) + '.csv',delimiter=',');
for j in range(0,num):
xt = xy0[j,0] + x;
yt = xy0[j,1] + y;
plt.plot(xt,yt,'b');
except:
print('OUT/T' + str((i+1)*dt) + '.csv')
pass;
plt.plot(xyw[:,0],xyw[:,1],'k');
plt.xlim([-1,1]);
plt.ylim([0,1.1])
plt.gca().set_aspect('equal');
writer.grab_frame();
plt.gca().clear();
# for i in range(100):
# x0 += 0.1 * np.random.randn()
# y0 += 0.1 * np.random.randn()
# l.set_data(x0, y0)
# writer.grab_frame()
|
import sys, os
import json
load_img_list = []
num_chair = 0
chair_anno = []
with open('./instances_train2017.json', 'r') as load_f:
load_dict = json.load(load_f)
for key in load_dict:
print(key)
if key=='images':
load_img_list = load_dict[key]
print('num of images:%d'%len(load_img_list))
if key=='annotations':
anno_list = load_dict[key]
print('num of annotations:%d'%len(anno_list))
for annoline in anno_list:
for a_key in annoline:
if a_key == 'category_id':
if(annoline[a_key]==62):
num_chair += 1
chair_anno.append(annoline)
print (num_chair)
print (len(chair_anno))
chair_img = []
for annolist in chair_anno:
id = annolist['image_id']
for imglist in load_img_list:
if imglist['id'] == id:
chair_img.append(imglist)
print(len(chair_img))
chair_dict = { "info": load_dict["info"],
"licenses": load_dict["licenses"],
"images": chair_img,
"annotations": chair_anno,
"categories": load_dict["categories"] }
#"categories": [{"supercategory":"furniture","id":62,"name":"chair"}] }
for key in chair_dict:
print ( key, len(chair_dict[key]) )
with open("./chair_2017.json", "w") as f:
json.dump(chair_dict, f)
print("processed ok!")
|
from django.shortcuts import render
def get(request):
return render(request, 'movies/index.html')
|
'''
Original use of functions by Adam Bolton, 2009.
http://www.physics.utah.edu/~bolton/python_lens_demo/
'''
# This code allows you to view the deflection gradients in both x and y directions.
def deflection(lamp=1.5,laxrat=1.)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib import cm
import lensdemo_funcs as ldf
import matplotlib.patheffects as PathEffects
# Package some image display preferences in a dictionary object, for use below:
myargs = {'interpolation': 'nearest', 'origin': 'lower', 'cmap': cm.viridis}
lensargs = {'interpolation': 'nearest', 'origin': 'lower', 'cmap': cm.viridis}
# Make some x and y coordinate images:
nx = 501
ny = 501
xhilo = [-2.5, 2.5]
yhilo = [-2.5, 2.5]
x = (xhilo[1] - xhilo[0]) * np.outer(np.ones(ny), np.arange(nx)) / float(nx-1) + xhilo[0]
y = (yhilo[1] - yhilo[0]) * np.outer(np.arange(ny), np.ones(nx)) / float(ny-1) + yhilo[0]
# Set some SIE lens-model parameters and pack them into an array:
l_amp = 1.5 # Einstein radius
l_xcen = 0. # x position of center
l_ycen = 0. # y position of center
l_axrat = 1. # minor-to-major axis ratio
l_pa = 0. # major-axis position angle (degrees) c.c.w. from x axis
lpar = np.asarray([l_amp, l_xcen, l_ycen, l_axrat, l_pa])
lenspar = np.asarray([l_amp, 0.05, l_xcen, l_ycen, l_axrat, l_pa])
# The following lines will plot the un-lensed and lensed images side by side:
(xg, yg) = ldf.sie_grad(x, y, lpar)
plt.figure(figsize=(8,4))
gs1 = gridspec.GridSpec(1,2)
gs1.update(wspace=0.03)
cmap = plt.cm.viridis
cir = plt.Circle((250,250),150,fill=False,ls='--',color='C0')
ax1 = plt.subplot(gs1[0])
im = ax1.imshow(xg,**myargs)#,clim=(0.5,2.2)) # set to make the lens the same always
vmin, vmax = im.get_clim()
ax1.add_artist(cir)
ax1.set_yticklabels([]); ax1.set_xticklabels([])
ax1.set_yticks([]); ax1.set_xticks([])
txt = ax1.text(20,457,'x deflection', size=15, color='w')
txt.set_path_effects([PathEffects.withStroke(linewidth=5, foreground='k')])
cir = plt.Circle((250,250),150,fill=False,ls='--',color='C0')
ax2 = plt.subplot(gs1[1])
ax2.imshow(yg,**myargs,clim=(vmin,vmax))
ax2.add_artist(cir)
ax2.set_yticklabels([]); ax2.set_xticklabels([])
ax2.set_yticks([]); ax2.set_xticks([])
txt = ax2.text(20,457,'y deflection', size=15, color='w')
txt.set_path_effects([PathEffects.withStroke(linewidth=5, foreground='k')])
#plt.savefig('test.png',dpi=200) # useful for troubleshooting
plt.savefig('deflection.pdf',dpi=200)
plt.close('all')
if __name__ == "__main__":
import sys
try: amp = float(sys.argv[1])
except IndexError: amp = 1.5
try: rat = float(sys.argv[2])
except IndexError: rat = 1.
deflection(amp,rat)
|
#Created on January 6, 2015
#@author: rspies
# Python 2.7
# This script plots the mean pbias for the period surrounding an event of a specified magnitude.
# Numerous events are chosen at each basin based on the criteria that eliminate smaller events
# and events that may be impacted by multiple events.
import os
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import numpy.ma as ma
os.chdir("../..")
maindir = os.getcwd() + os.sep + 'Calibration_NWS'
############################### User input ###################################
##############################################################################
##### IMPORTANT: Make sure to call the correct CHPS .csv output columns ######
##### and specify the calibration period in next section
basin_ids = [] # run individual basin(s) -> otherwise leave empty []
sim_type = 'final' # choices: "initial", "final", "working", "draft"
RFC = 'SERFC_FY2016'
variable = 'QME_SQME'#'QIN_SQIN'
ignore_basins = ['TREF1','LK2F1','OLNF1']
resolution = 350 #350->(for report figs) 100->for CHPS fx help tab display (E19)
plt.ioff() #Turn interactive plot mode off (don't show figures)
yr_start = 1980; yr_end = 2010 # specify the first and last year to analyze
csv_loc = maindir + os.sep + RFC[:5] + os.sep + RFC + os.sep + 'Calibration_TimeSeries' + os.sep + sim_type + os.sep + variable + os.sep
out_dir = maindir + os.sep + RFC[:5] + os.sep + RFC + os.sep + 'Calibration_TimeSeries' + os.sep + sim_type+ os.sep + 'UH_analysis_plots' + os.sep + variable + os.sep
out_list = maindir + os.sep + RFC[:5] + os.sep + RFC + os.sep + 'Calibration_TimeSeries' + os.sep + sim_type + os.sep + 'UH_analysis_plots' + os.sep + variable + os.sep + 'uhg_event_analysis.txt'
################ Define the corresponding column of data in the csv file #################
write_date_list = open(out_list,'w')
if basin_ids == []:
csv_files = os.listdir(csv_loc)
for csv_file in csv_files:
if csv_file.endswith(".csv"):
basin_name = csv_file.split('_')[0]
if basin_name not in ignore_basins:
basin_ids.append(basin_name)
#basin_ids = ['ASCW1'] # <- use this to run individual basin
if variable == 'QIN_SQIN':
step = 6 # data time step
period = 12
if variable == 'QME_SQME':
step = 24 # data time step
period = 3
############################################################
###########################################################
for basin_id in basin_ids:
print basin_id
write_date_list.write(basin_id + '\t')
calib_read = open(csv_loc + basin_id + '_' + variable + '.csv', 'r') #test!!!
###### tab delimitted CHPS calibrated AND Observed dishcarge text file into panda arrays ###########
### replaces hour time stamp with zero to create a mean daily value -> match obs data
test = pd.read_csv(calib_read,sep=',',skiprows=2,
usecols=[0,1,2],parse_dates=['date'],names=['date', 'OBS', 'SQIN'])
### assign column data to variables
print 'Populating data arrays for calibrated dishcarge... and converting to daily values'
date_calib = test['date'].tolist() # convert to list (indexible)
Q_calib = test['SQIN'].tolist()
discharge = test['OBS'].tolist()
date_Q = []; date_Q_calib = []; new_date = []; count = 0 # read the data into a dictionary (more efficient processing)
for each_day in date_calib:
if yr_start <= int(each_day.year) <= yr_end:
if float(Q_calib[count]) >= 0:# or float(discharge[count]) >= 0: # ignore periods with sim and obs missing data (less than 0)
date_Q_calib.append(Q_calib[count])
date_Q.append(float(discharge[count]))
new_date.append(each_day)
count += 1
avg_flow = np.average(date_Q_calib)
print 'Mean flow: ' + str(avg_flow)
if 0 <= avg_flow <= 10:
thresh = 40
elif 10 <= avg_flow <= 20:
thresh = 60
elif 20 <= avg_flow <= 40:
thresh = 120
elif 40 <= avg_flow <= 60:
thresh = 200
elif 60 <= avg_flow <= 100:
thresh = 250
elif 100 <= avg_flow <= 200:
thresh = 300
else:
thresh = 400
#### iterate through obs streamflow data and pull out events that meet thresh criteria ####
# create blank arrays for future calcs
obs_matrix = np.empty((0,(period*2+1)),dtype=float)
sim_matrix = np.empty((0,(period*2+1)),dtype=float)
actual_index = 0; tot_events = 0
for obs in date_Q:
#### find streamflow values > than set threshold (isolate larger events)
#### also ignore peak events at the very begining of analysis period
if obs > thresh and actual_index >= period:
#### find event peak within the window period specified above
#### e.g. value at time1 must be > all values within +- 5 time steps
if obs >= max(date_Q[actual_index + 1:actual_index + period]) and obs > max(date_Q[actual_index - period: actual_index]):
#print obs
event = np.array(date_Q[actual_index-period:(actual_index+period+1)])
#event = ma.masked_less(event,6)
event_sim = np.array(date_Q_calib[actual_index-period:(actual_index+period+1)])
list_index = 0
#### perform check to see if there are any dips in hydrograph indicating multiple events impacting the hydrograph
for each in event:
if list_index != 0:
if each > thresh:
status = 'ok'
elif max(event[list_index:]) > thresh and max(event[0:list_index]) > thresh:
status = 'nogo'
break
list_index += 1
#print status
if status == 'ok':
obs_matrix = np.vstack((obs_matrix,event))
obs_matrix = ma.masked_less(obs_matrix,1)
sim_matrix = np.vstack((sim_matrix,event_sim))
tot_events += 1
print new_date[actual_index]
write_date_list.write(str(new_date[actual_index]) + ', ')
actual_index += 1
print 'Number of events analyzed: ' + str(tot_events)
write_date_list.write('\n')
# matrix calculations
matrix_pbias = ((sim_matrix - obs_matrix)/obs_matrix)*100
array_pbias = np.mean(matrix_pbias, axis=0)
# column mean for obs and sim
obs_mean = []; sim_mean = []
for col in obs_matrix.T:
avg_obs = col.mean()
obs_mean.append(avg_obs)
for col in sim_matrix.T:
avg_sim = col.mean()
sim_mean.append(avg_sim)
# create x array to use for labels (6hr or 1hr timestep)
x = range(period*-1,period+1,1)
x_labels = []
for each in x:
x_labels.append(each*step)
############################# create plot(s) ##########################################
#######################################################################################
### create image: aspect set to auto (creates a square plot with any data)
### vmin->sets values less than 0 to missing
#fig, ax1 = plt.subplots()
fig = plt.figure()
fig.subplots_adjust(hspace=.2)
ax1 = fig.add_subplot(211)
if step == 24:
ax1.bar(x_labels, array_pbias, color='b', width=8)#,align='center')
else:
ax1.bar(x_labels, array_pbias, color='b', width=4)#,align='center')
#### axis properties ###
ax1.tick_params(axis='y', which='major', labelsize=8)
ax1.tick_params(axis='x', which='major', labelsize=7)
#### axis adjustments ####
ax1.xaxis.grid(b=True, which='major', color='0.6', linestyle='--',linewidth='0.5')
ax1.yaxis.grid(b=True, which='major', color='0.6', linestyle='--',linewidth='0.5')
#### modify xaxis ticks to daily ticks
if step == 6 or step == 24:
daily_ticks = np.arange((period*-step)-24,(period*step)+48,24)
if 0 not in daily_ticks:
daily_ticks = np.arange((period*-step)-12,(period*step)+36,24)
if step == 1:
daily_ticks = np.arange((period*-step),(period*step)+6,6)
plt.xticks(daily_ticks)
#### plot vertical line at 0 (time of peak)
min_yax = (ax1.axis())[2]
max_yax = (ax1.axis())[3]
ax1.set_autoscale_on(False) # have to turn off autoscale otherwise xlims change
plt.plot((0,0),(min_yax,max_yax),'r-',linewidth = '1.0')
plt.plot((min(daily_ticks),max(daily_ticks)),(0,0),'k-',linewidth = '1.25')
#### axis and title properties ###
#ax1.set_xlabel('Time from Peak (hrs)',fontsize=8)
ax1.set_ylabel('Simulated Mean Percent Bias (%)',fontsize=7)
ax1.set_title(basin_id + ': ' + str(yr_start) + '-' + str(yr_end) + ' (analyzed ' + str(tot_events) + ' events >= ' + str(thresh) + ' CMS)',fontsize=11)
##################################################################
### obs/sim mean
ax2 = fig.add_subplot(212)
# plot spaghetti of all events
row_count = 0; corr_list = []
for row in sim_matrix:
corr_list.append(np.corrcoef(row,obs_matrix[row_count])[1][0])
row_count += 1
if row_count == 1:
ax2.plot(x_labels,row,lw='0.1',color='blue', label='simulated events')
else:
ax2.plot(x_labels,row,lw='0.1',color='blue')
ax2.plot(x_labels,obs_mean,'orange',lw=2,label='observed mean')
ax2.plot(x_labels,sim_mean,'blue',lw=2,label='simulated mean')
#### axis adjustments ####
ax2.xaxis.grid(b=True, which='major', color='0.6', linestyle='--',linewidth='0.5')
ax2.yaxis.grid(b=True, which='major', color='0.6', linestyle='--',linewidth='0.5')
#### axis properties ###
ax2.tick_params(axis='y', which='major', labelsize=8)
ax2.tick_params(axis='x', which='major', labelsize=7)
#### modify xaxis ticks to daily ticks
plt.xticks(daily_ticks)
#### plot vertical line at 0 (time of peak)
min_yax = (ax2.axis())[2]
max_yax = (ax2.axis())[3]
ax2.set_autoscale_on(False) # have to turn off autoscale otherwise xlims change
plt.plot((0,0),(min_yax,max_yax),'r-',linewidth = '1.0')
### statistics box
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
ax2.text(0.85, 0.95, 'Corr Coef: ' + str("%.2f" % np.average(corr_list)), fontsize=8, transform=ax2.transAxes,
verticalalignment='top', bbox=props)
#### axis and title properties ###
ax2.set_xlabel('Time from Peak (hrs)',fontsize=8)
ax2.set_ylabel('Streamflow (CMSD)',fontsize=7)
ax2.legend(loc="upper left",shadow=True,fontsize=6)
fig_out = out_dir + basin_id + '_UH_analysis_highres.png'
plt.savefig(fig_out, dpi=resolution, bbox_inches='tight')
plt.clf()
#print 'Figure saved to: ' + out_dir + 'correlation_plots\\' + basin_id + '_daily_correlation.png'
write_date_list.close()
print 'Finished!'
|
__author__ = "Narwhale"
import os
file_size = os.stat('第八周-第02章节-Python3.5月-上节回顾2.avi ').st_size
print(file_size)
|
#! /usr/bin/python
# coding=utf-8
import time
import select
import sys
import os
import RPi.GPIO as GPIO
import numpy as np
import picamera
import picamera.array
from picamera import PiCamera
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import time
import cv2
import math
import threading
import pidcontroller
from car import Car
from infrad import Infrad
from lane_lines import *
from detect import *
from ultrasonic import *
from encoder import *
car = Car()
inf = Infrad()
ul = Ultrasound()
camera = PiCamera()
encoder= Encoder()
encoder.command(1)
speed=0
#最近10条方向值
directions=[ 0 for i in range(10) ]
max_speed=200
def stage_detect(image_in):
image = filter_colors(image_in)
gray = grayscale(image)
blur_gray = gaussian_blur(gray, kernel_size)
edges = canny(blur_gray, low_threshold, high_threshold)
imshape = image.shape
vertices = np.array([[\
((imshape[1] * (1 - trap_bottom_width)) // 2, imshape[0]),\
((imshape[1] * (1 - trap_top_width)) // 2, imshape[0] - imshape[0] * trap_height),\
(imshape[1] - (imshape[1] * (1 - trap_top_width)) // 2, imshape[0] - imshape[0] * trap_height),\
(imshape[1] - (imshape[1] * (1 - trap_bottom_width)) // 2, imshape[0])]]\
, dtype=np.int32)
masked_edges = region_of_interest(edges, vertices)
img = masked_edges
min_line_len = min_line_length
lines = cv2.HoughLinesP(img, rho, theta, threshold, np.array([]), minLineLength=min_line_len, maxLineGap=max_line_gap)
if lines is None:
return None
line_img = np.zeros((*img.shape, 3), dtype=np.uint8) # 3-channel RGB image
newlines = draw_lines(line_img, lines)
for line in newlines:
if line[1] < line[3]:
line[0], line[1], line[2], line[3] = line[2], line[3], line[0], line[1]
if newlines[0][0] > newlines[1][0]:
newlines[0], newlines[1] = newlines[1], newlines[0]
return(newlines)
### PID Controller functions start
def get_direction(left, right, nl, nr):
global directions
result=0
if(left):
result=-1
if(right):
result=1
if(nl):
result=-2
if(nr):
result=2
directions.pop(0)
directions.extend(result)
return result
#取得小车运动稳定性,该方法是pid控制速度关键
def get_instability(speed_left,speed_right):
global directions
rate=np.std(directions)
speed=(speed_left+speed_right)/2
if(speed>0):
instability=rate/speed
else:
instability=0
return instability
def set_speed(correction,car):
global speed,max_speed
speed=correction
if speed>max_speed:
speed=max_speed
car.set_speed(speed, speed)
def speed_pid(car):
pid = pidcontroller.PID(1.0, 0.5, 0.1)
target_instability = 0
while (True):
current_instability = get_instability()
error = target_instability - current_instability
correction = pid.Update(error)
print('Setting the speed to %f' % correction)
#set_controll(correction,car,GO)
set_speed(correction,car)
def set_speed_different(correction,car):
global speed
speed_left=speed+correction/2
speed_right=speed-correction/2
car.set_speed(speed_left,speed_right)
def ros_pid(lane, car):
pid = pidcontroller.PID(1.0, 0.5, 0.1)
target_direction = 0 # set forward
while (True):
current_direction = get_direction(lane)
error = target_direction - current_direction
correction = pid.Update(error)
print('Setting the direction to %f' % correction)
#set_controll(correction,car,GO)
set_speed_different(correction,car)
### PID Controller functions end
def SPEEDframe():
global encoder
try:
while True:
left_speed, right_speed = encoder.get_speed()
speed_pid((left_speed, right_speed), car)
except KeyboardInterrupt:
GPIO.cleanup()
def LEDframe():
global STOP
rawCapture = picamera.array.PiRGBArray(camera)
for frame in camera.capture_continuous(rawCapture, format='bgr', use_video_port=True):
image = frame.array
print(image.shape)
image = image.reshape((640, 480, 3))
rawCapture.truncate(0)
light = LED_detect(image)
if light==2:
STOP = True
else:
STOP = False
print("light: ", light)
def DISframe():
global STILL
try:
while True:
dis = round(ul.get_distance(), 2)
# print("dis: ", dis)
if dis < 20:
STILL = True
else:
STILL = False
except KeyboardInterrupt:
GPIO.cleanup()
def ROSframe():
try:
while True:
left, right, nl, nr = inf.detect()
ros_pid((left, right, nl, nr), car)
except KeyboardInterrupt:
GPIO.cleanup()
if __name__ == '__main__':
global STOP
global STILL
global speed,max_speed
STOP = False
STILL = False
t_LED = threading.Thread(target = LEDframe, args=() )
t_DIS = threading.Thread(target = DISframe, args=() )
t_ROS = threading.Thread(target = ROSframe, args=() )
t_SPEED = threading.Thread(target = SPEEDframe, args=() )
threads = [t_ROS, t_LED, t_DIS]
speed=max_speed
v1, v2 = speed, speed
car.set_speed(v1, v2)
try:
for t in threads:
t.start()
except KeyboardInterrupt:
GPIO.cleanup()
|
# Generated by Django 3.2.3 on 2021-05-16 18:49
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('categories', '0002_alter_categories_name'),
]
operations = [
migrations.CreateModel(
name='film',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=50)),
('director', models.CharField(max_length=50)),
('productionCompany', models.CharField(max_length=100)),
('description', models.CharField(max_length=9000)),
('releaseDate', models.DateField(auto_now_add=True)),
('runTime', models.IntegerField()),
('spokenLanguage', models.CharField(max_length=100)),
('rate', models.IntegerField()),
('linkOfFilm', models.CharField(max_length=200)),
('Categories', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='categories', to='categories.categories')),
],
),
]
|
#system
import os
import sys
import logging
import re
import time
import importlib
import inspect
import pkgutil
#app
import click
import six
from pprint import pprint
from rich.console import Console
from rich.table import Column, Table
from PyInquirer import (Token, ValidationError, Validator, print_json, prompt,
style_from_dict)
from pyfiglet import figlet_format
try:
import colorama
colorama.init()
except ImportError:
colorama = None
try:
from termcolor import colored
except ImportError:
colored = None
from halocli.util import Util
from halocli.exception import CliException,ConfigException,HaloCommandException,HaloPluginMngrException,HaloPluginClassException
from halocli.plugin.plugin_manager import PluginMngr
from halocli.plugin.command import Cmd
logger = logging.getLogger(__name__)
console = Console()
#globals
builder = None
#log colors
verbose_clr = "yellow"
debug_clr = "blue"
verbose_clr = "green"
inquirer_style = style_from_dict({
Token.Separator: '#cc5454',
Token.QuestionMark: '#673ab7 bold',
Token.Selected: '#cc5454', # default
Token.Pointer: '#673ab7 bold',
Token.Instruction: '', # default
Token.Answer: '#f44336 bold',
Token.Question: '',
})
discovered_plugins = {
name: importlib.import_module(name)
for finder, name, ispkg
in pkgutil.iter_modules()
if name.endswith('c')
}
#print("plugins:"+str(discovered_plugins))
def log(string, color, font="slant", figlet=False):
if colored:
if not figlet:
six.print_(colored(string, color))
else:
six.print_(colored(figlet_format(
string, font=font), color))
else:
six.print_(string)
def logx(plugins):
table = Table(show_header=True, header_style="bold magenta")
table.add_column("plugin events", style="dim", width=60)
table.add_column("Milliseconds")
with click.progressbar(plugins) as click_plugins:
for plugin in click_plugins:
plugin_length = plugins[plugin]
table.add_row(plugin, str(plugin_length))
console.print(table)
def logy(argsx):
from clint.arguments import Args
from clint.textui import puts, colored as coloredx, indent
args = Args()
print()
with indent(4, quote='>>>'):
puts(coloredx.blue('Command Arguments: ') + str(argsx))
puts(coloredx.blue('Arguments passed in: ') + str(args.all))
puts(coloredx.blue('Flags detected: ') + str(args.flags))
puts(coloredx.blue('Files detected: ') + str(args.files))
puts(coloredx.blue('NOT Files detected: ') + str(args.not_files))
puts(coloredx.blue('Grouped Arguments: ') + str(dict(args.grouped)))
print()
def more(log_string):
click.echo_via_pager(log_string)
def edit(msg):
commit_message = click.edit()
return commit_message
def prompt_cli(msg, args):
return click.prompt(msg,args)
def prompt_confirm():
questions = [
{
'type': 'confirm',
'message': 'Do you want to continue?',
'name': 'continue',
'default': True,
},
{
'type': 'confirm',
'message': 'Do you want to exit?',
'name': 'exit',
'default': False,
},
]
answers = prompt.prompt(questions, style=inquirer_style)
pprint(answers)
for item in answers:
if item == 'continue':
if not answers[item]:
raise CliException(" not confirmed")
"""
UNIX
0 - success
1 - fail
----
If an ClickException is raised, invoke the ClickException.show() method on it to display it and then exit the program with ClickException.exit_code.
If an Abort exception is raised print the string Aborted! to standard error and exit the program with exit code 1.
if it goes through well, exit the program with exit code 0.
"""
def start(run=None,options=None):
global builder
log("HALO CLI", color="blue", figlet=True)
log("Welcome to HALO CLI", "green")
try:
builder = Builder(options)
except ConfigException as e:
log("Error in HALO CLI Config: "+str(e), "red")
sys.exit(1)
except CliException as e:
log("Error in HALO CLI: "+str(e), "red")
sys.exit(1)
except Exception as e:
log("General Error in HALO CLI: "+str(e), "red")
sys.exit(1)
try:
command_groups = builder.create_command_groups()
except ConfigException as e:
log("Error in HALO CLI Cmd Config: "+str(e), "red")
sys.exit(1)
except CliException as e:
log("Error in HALO CLI Cmd: "+str(e), "red")
sys.exit(1)
except Exception as e:
log("General Error in HALO CLI Cmd: "+str(e), "red")
sys.exit(1)
for cg_name in command_groups:
cg = command_groups[cg_name]
cli.add_command(cg,name=cg_name)
"""
CLI for running halo commands
"""
if run != False:
try:
return cli(auto_envvar_prefix='HALO')
except SystemExit as e:
if e.code != 0:
log("\nError in HALO CLI Cmd: " + str(e.code), "red")
sys.exit(1)
return cli
@click.group()
@click.option('--debug/--no-debug', default=False)
@click.option('-v','--version', is_flag=True,help='Print the Halo cli version')
@click.option('-a','--all', is_flag=True,help='Execute this command for all projects')
@click.option('-s','--settings_file', help='The path to a Halo settings file')
@click.option('-q','--quiet', is_flag=True,help='Silence all output')
@click.option('-r', '--verbose',is_flag=True,help='Verbose output')
@click.pass_context
def cli(ctx,debug,version,all,settings_file,quiet,verbose):
"""halocli - HALO framework cli tool"""
#options
if debug:
logger.setLevel(logging.DEBUG)
log('Debug mode is %s' % ('on' if debug else 'off'),"blue")
if version:
#log('Halo Version: {}'.format(halocli.__version__),"blue")
log('Click Version: {}'.format(click.__version__),"blue")
log('Python Version: {}'.format(sys.version),"blue")
if verbose:
log('Verbosity: %s' % verbose,"blue")
if settings_file:
log('settings file: {}'.format(settings_file), "blue")
#context
ctx.obj = Base(debug,all,quiet,verbose)
#cfg dir
app_dir = click.get_app_dir("halocli")
if not os.path.exists(app_dir):
os.makedirs(app_dir)
cfg = os.path.join(app_dir, "config")
class Base:
def __init__(self,debug,all,quiet,verbose):
self.debug = debug
self.all = all
self.quiet = quiet
self.verbose = verbose
class Log:
def error(self,msg):
log(msg,"red")
def log(self,msg):
log(msg,"green")
class HaloProxy:
cli = None
variables = None
settings = None
def __init__(self,cli,variables,settings):
self.cli = cli
self.variables = variables
self.settings = settings
class Builder:
cli = Log()
variables = {}
settings = None
names = {}
proxy = None
def __init__(self,options=None):
if options:
self.options = options
else:
self.options = sys.argv[1:]
self.plugins = self.get_plugins()
self.cmd = Cmd(self.cli,self.plugin_mngr)
def logx(self,dict_run):
logx(dict_run)
def logy(self,args):
logy(args)
def get_plugins(self):
halo_settings_path = None
if self.options and "-s" in self.options:
get = False
for item in self.options:
if item.strip() == "-s":
get = True
continue
if get:
halo_settings_path = item
break
if halo_settings_path:
#@todo check if its only file name and add current dir
if not os.path.dirname(halo_settings_path):
halo_settings_path = os.path.join(os.getcwd(),halo_settings_path)
else:
halo_settings_path = os.path.join(os.getcwd(),'halo_settings.json')
halo_settings = None
try:
halo_settings = Util.load_settings_file(halo_settings_path)
except ConfigException as e:
log("Error in HALO CLI settings file: " + str(e), "red")
sys.exit(1)
try:
self.do_settings(halo_settings)
except HaloCommandException as e:
log("Error in HALO CLI Command : " + str(e), "red")
sys.exit(1)
except HaloPluginMngrException as e:
log("Error in HALO CLI Plugin: " + str(e), "red")
sys.exit(1)
#if settings_error:
# log("Error in HALO CLI settings : " + str(settings_error), "red")
return self.plugin_mngr.get_plugin_instances()
def do_settings(self,settings):
self.settings = settings # consider ImmutableDict(settings)
self.proxy = HaloProxy(self.cli, self.variables, self.settings)
self.do_plugins(settings)
self.plugin_mngr = PluginMngr(self)
def do_plugins(self,settings):
self.plugins = [
#"halocli.plugin.plugins.bian.extend.test_bian_plugin.Plugin",
"halocli.plugin.plugins.bian.extend.extend_bian_plugin.Plugin",
"halocli.plugin.plugins.bian.lite.bian_lite_plugin.Plugin",
"halocli.plugin.plugins.bian.segregate.cqrs_bian_plugin.Plugin",
"halocli.plugin.plugins.create.create_plugin.Plugin",
"halocli.plugin.plugins.schema.schema_plugin.Plugin",
"halocli.plugin.plugins.print.print_plugin.Plugin",
"halocli.plugin.plugins.info.info_plugin.Plugin",
"halocli.plugin.plugins.valid.valid_plugin.Plugin",
"halocli.plugin.plugins.config.config_plugin.Plugin",
"halocli.plugin.plugins.install.install_plugin.Plugin"
]
if settings and "plugins" in settings:
for p in settings["plugins"]:
class_name = self.get_plugin_class(p)
if class_name:
self.plugins.append(class_name)
self.names[class_name] = p
def get_plugin_class(self, package_name):
class_list = Util.check_package_in_env(package_name)
if len(class_list) > 1:
raise HaloPluginClassException("too many plugin entry point classes package: " + package_name)
if len(class_list) == 1:
return class_list[0]
raise HaloPluginClassException("plugin entry point class not found for package: "+package_name)
def create_command_groups(self):
return self.cmd.create_command_groups(self.plugins,cli)
if __name__ == "__main__":
start()
|
"""
http://2018.igem.org/wiki/images/0/09/2018_InterLab_Plate_Reader_Protocol.pdf
"""
import json
from urllib.parse import quote
import sbol3
from tyto import OM
import labop
import uml
from labop.execution_engine import ExecutionEngine
from labop_convert.markdown.markdown_specialization import MarkdownSpecialization
doc = sbol3.Document()
sbol3.set_namespace("http://igem.org/engineering/")
#############################################
# Import the primitive libraries
print("Importing libraries")
labop.import_library("liquid_handling")
print("... Imported liquid handling")
labop.import_library("plate_handling")
# print('... Imported plate handling')
labop.import_library("spectrophotometry")
print("... Imported spectrophotometry")
labop.import_library("sample_arrays")
print("... Imported sample arrays")
labop.import_library("culturing")
#############################################
# create the materials to be provisioned
dh5alpha = sbol3.Component(
"dh5alpha", "https://identifiers.org/pubchem.substance:24901740"
)
dh5alpha.name = "_E. coli_ DH5 alpha"
doc.add(dh5alpha)
lb_cam = sbol3.Component("lb_cam", "https://identifiers.org/pubchem.substance:24901740")
lb_cam.name = "LB Broth+chloramphenicol"
doc.add(lb_cam)
chloramphenicol = sbol3.Component(
"chloramphenicol", "https://identifiers.org/pubchem.substance:24901740"
)
chloramphenicol.name = "chloramphenicol"
doc.add(chloramphenicol)
neg_control_plasmid = sbol3.Component("neg_control_plasmid", sbol3.SBO_DNA)
neg_control_plasmid.name = "Negative control"
neg_control_plasmid.description = "BBa_R0040 Kit Plate 7 Well 2D"
pos_control_plasmid = sbol3.Component("pos_control_plasmid", sbol3.SBO_DNA)
pos_control_plasmid.name = "Positive control"
pos_control_plasmid.description = "BBa_I20270 Kit Plate 7 Well 2B"
test_device1 = sbol3.Component("test_device1", sbol3.SBO_DNA)
test_device1.name = "Test Device 1"
test_device1.description = "BBa_J364000 Kit Plate 7 Well 2F"
test_device2 = sbol3.Component("test_device2", sbol3.SBO_DNA)
test_device2.name = "Test Device 2"
test_device2.description = "BBa_J364001 Kit Plate 7 Well 2H"
test_device3 = sbol3.Component("test_device3", sbol3.SBO_DNA)
test_device3.name = "Test Device 3"
test_device3.description = "BBa_J364002 Kit Plate 7 Well 2J"
test_device4 = sbol3.Component("test_device4", sbol3.SBO_DNA)
test_device4.name = "Test Device 4"
test_device4.description = "BBa_J364007 Kit Plate 7 Well 2L"
test_device5 = sbol3.Component("test_device5", sbol3.SBO_DNA)
test_device5.name = "Test Device 5"
test_device5.description = "BBa_J364008 Kit Plate 7 Well 2N"
test_device6 = sbol3.Component("test_device6", sbol3.SBO_DNA)
test_device6.name = "Test Device 6"
test_device6.description = "BBa_J364009 Kit Plate 7 Well 2P"
doc.add(neg_control_plasmid)
doc.add(pos_control_plasmid)
doc.add(test_device1)
doc.add(test_device2)
doc.add(test_device3)
doc.add(test_device4)
doc.add(test_device5)
doc.add(test_device6)
protocol = labop.Protocol("interlab")
protocol.name = "Cell measurement protocol (Challenging)"
protocol.description = """
This is a more challenging version of the cell calibration protocol for time-interval measurement. At each time point 0-hour, 2-hour, 4-hour and 6-hour, you will take a sample from each of the eight devices, two colonies per device, three falcon tubes per colony → total 48 tubes."""
protocol.version = "1.0b"
doc.add(protocol)
plasmids = [
neg_control_plasmid,
pos_control_plasmid,
test_device1,
test_device2,
test_device3,
test_device4,
test_device5,
test_device6,
]
# Day 1: Transformation
transformation = protocol.primitive_step(
f"Transform", host=dh5alpha, dna=plasmids, selection_medium=lb_cam
)
# Day 2: Pick colonies and culture overnight
culture_container_day1 = protocol.primitive_step(
"ContainerSet",
quantity=2 * len(plasmids),
specification=labop.ContainerSpec(
name=f"culture (day 1)",
queryString="cont:CultureTube",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
overnight_culture = protocol.primitive_step(
"Culture",
inoculum=transformation.output_pin("transformants"),
replicates=2,
growth_medium=lb_cam,
volume=sbol3.Measure(5, OM.millilitre), # Actually 5-10 ml in the written protocol
duration=sbol3.Measure(16, OM.hour), # Actually 16-18 hours
orbital_shake_speed=sbol3.Measure(220, None), # No unit for RPM or inverse minutes
temperature=sbol3.Measure(37, OM.degree_Celsius),
container=culture_container_day1.output_pin("samples"),
)
# Day 3 culture
culture_container_day2 = protocol.primitive_step(
"ContainerSet",
quantity=2 * len(plasmids),
specification=labop.ContainerSpec(
name=f"culture (day 2)",
queryString="cont:CultureTube",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
back_dilution = protocol.primitive_step(
"Dilute",
source=culture_container_day1.output_pin("samples"),
destination=culture_container_day2.output_pin("samples"),
replicates=2,
diluent=lb_cam,
amount=sbol3.Measure(5.0, OM.millilitre),
dilution_factor=uml.LiteralInteger(value=10),
)
baseline_absorbance = protocol.primitive_step(
"MeasureAbsorbance",
samples=culture_container_day2.output_pin("samples"),
wavelength=sbol3.Measure(600, OM.nanometer),
)
baseline_absorbance.name = "baseline absorbance"
parent_conical_tube = protocol.primitive_step(
"ContainerSet",
quantity=2 * len(plasmids),
specification=labop.ContainerSpec(
name=f"back-diluted culture",
queryString="cont:50mlConicalTube",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
dilution = protocol.primitive_step(
"DiluteToTargetOD",
source=culture_container_day2.output_pin("samples"),
destination=parent_conical_tube.output_pin("samples"),
diluent=lb_cam,
amount=sbol3.Measure(40, OM.millilitre),
target_od=sbol3.Measure(0.2, None),
) # Dilute to a target OD of 0.2, opaque container
dilution.description = (
"(Reliability of the dilution upon Abs600 measurement: should stay between 0.1-0.9)"
)
# Further subdivision into triplicates
conical_tubes = protocol.primitive_step(
"ContainerSet",
quantity=2 * len(plasmids),
replicates=3,
specification=labop.ContainerSpec(
name=f"replicate subcultures",
queryString="cont:50mlConicalTube",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
conical_tubes.description = (
"The conical tubes should be opaque, amber-colored, or covered with foil."
)
transfer = protocol.primitive_step(
"Transfer",
source=parent_conical_tube.output_pin("samples"),
replicates=3,
destination=conical_tubes.output_pin("samples"),
amount=sbol3.Measure(12, OM.milliliter),
)
embedded_image = protocol.primitive_step(
"EmbeddedImage", image="/Users/bbartley/Dev/git/sd2/labop/fig3_cell_calibration.png"
)
# Transfer cultures to a microplate baseline measurement and outgrowth
timepoint_0hrs = protocol.primitive_step(
"ContainerSet",
quantity=2 * len(plasmids) * 3,
specification=labop.ContainerSpec(
name="cultures (0 hr timepoint)",
queryString="cont:MicrofugeTube",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
# Hold on ice
hold = protocol.primitive_step(
"Hold",
location=timepoint_0hrs.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
hold.description = "This will prevent cell growth while transferring samples."
transfer = protocol.primitive_step(
"Transfer",
source=conical_tubes.output_pin("samples"),
destination=timepoint_0hrs.output_pin("samples"),
amount=sbol3.Measure(1, OM.milliliter),
)
# Plate cultures
plate1 = protocol.primitive_step(
"EmptyContainer",
specification=labop.ContainerSpec(
name="plate 1",
queryString="cont:Plate96Well",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
plate2 = protocol.primitive_step(
"EmptyContainer",
specification=labop.ContainerSpec(
name="plate 2",
queryString="cont:Plate96Well",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
plate3 = protocol.primitive_step(
"EmptyContainer",
specification=labop.ContainerSpec(
name="plate 3",
queryString="cont:Plate96Well",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
hold = protocol.primitive_step(
"Hold",
location=plate1.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
hold = protocol.primitive_step(
"Hold",
location=plate2.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
hold = protocol.primitive_step(
"Hold",
location=plate3.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
transfer_map = quote(
json.dumps(
{
"1": "A2:D2",
"2": "E2:H2",
"3": "A3:D3",
"4": "E3:H3",
"5": "A4:D4",
"6": "E4:H4",
"7": "A5:D5",
"8": "E5:H5",
"9": "A7:D7",
"10": "E7:H7",
"11": "A8:D8",
"12": "E8:H8",
"13": "A9:D9",
"14": "E9:H9",
"15": "A10:D10",
"16": "E10:H10",
"17": "A2:D2",
"18": "E2:H2",
"19": "A3:D3",
"20": "E3:H3",
"21": "A4:D4",
"22": "E4:H4",
"23": "A5:D5",
"24": "E5:H5",
"25": "A7:D7",
"26": "E7:H7",
"27": "A8:D8",
"28": "E8:H8",
"29": "A9:D9",
"30": "E9:H9",
"31": "A10:D10",
"32": "E10:H10",
"33": "A2:D2",
"34": "E2:H2",
"35": "A3:D3",
"36": "E3:H3",
"37": "A4:D4",
"38": "E4:H4",
"39": "A5:D5",
"40": "E5:H5",
"41": "A7:D7",
"42": "E7:H7",
"43": "A8:D8",
"44": "E8:H8",
"45": "A9:D9",
"46": "E9:H9",
"47": "A10:D10",
"48": "E10:H10",
}
)
)
plan = labop.SampleData(values=transfer_map)
transfer = protocol.primitive_step(
"TransferByMap",
source=timepoint_0hrs.output_pin("samples"),
destination=plate1.output_pin("samples"),
amount=sbol3.Measure(100, OM.microliter),
plan=plan,
)
transfer.description = "See the plate layout below."
plan = labop.SampleData(values=transfer_map)
transfer = protocol.primitive_step(
"TransferByMap",
source=timepoint_0hrs.output_pin("samples"),
destination=plate2.output_pin("samples"),
amount=sbol3.Measure(100, OM.microliter),
plan=plan,
)
plan = labop.SampleData(values=transfer_map)
transfer = protocol.primitive_step(
"TransferByMap",
source=timepoint_0hrs.output_pin("samples"),
destination=plate3.output_pin("samples"),
amount=sbol3.Measure(100, OM.microliter),
plan=plan,
)
plate_blanks = protocol.primitive_step(
"Transfer",
source=[lb_cam],
destination=plate1.output_pin("samples"),
coordinates="A1:H1, A10:H10, A12:H12",
amount=sbol3.Measure(100, OM.microliter),
)
plate_blanks.description = "These samples are blanks."
embedded_image = protocol.primitive_step(
"EmbeddedImage", image="/Users/bbartley/Dev/git/sd2/labop/fig2_cell_calibration.png"
)
# Possibly display map here
absorbance_0hrs_plate1 = protocol.primitive_step(
"MeasureAbsorbance",
samples=plate1.output_pin("samples"),
wavelength=sbol3.Measure(600, OM.nanometer),
)
absorbance_0hrs_plate1.name = "0 hr absorbance timepoint"
fluorescence_0hrs_plate1 = protocol.primitive_step(
"MeasureFluorescence",
samples=plate1.output_pin("samples"),
excitationWavelength=sbol3.Measure(485, OM.nanometer),
emissionWavelength=sbol3.Measure(530, OM.nanometer),
emissionBandpassWidth=sbol3.Measure(30, OM.nanometer),
)
fluorescence_0hrs_plate1.name = "0 hr fluorescence timepoint"
absorbance_0hrs_plate2 = protocol.primitive_step(
"MeasureAbsorbance",
samples=plate2.output_pin("samples"),
wavelength=sbol3.Measure(600, OM.nanometer),
)
absorbance_0hrs_plate2.name = "0 hr absorbance timepoint"
fluorescence_0hrs_plate2 = protocol.primitive_step(
"MeasureFluorescence",
samples=plate2.output_pin("samples"),
excitationWavelength=sbol3.Measure(485, OM.nanometer),
emissionWavelength=sbol3.Measure(530, OM.nanometer),
emissionBandpassWidth=sbol3.Measure(30, OM.nanometer),
)
fluorescence_0hrs_plate2.name = "0 hr fluorescence timepoint"
absorbance_0hrs_plate3 = protocol.primitive_step(
"MeasureAbsorbance",
samples=plate3.output_pin("samples"),
wavelength=sbol3.Measure(600, OM.nanometer),
)
absorbance_0hrs_plate3.name = "0 hr absorbance timepoint"
fluorescence_0hrs_plate3 = protocol.primitive_step(
"MeasureFluorescence",
samples=plate3.output_pin("samples"),
excitationWavelength=sbol3.Measure(485, OM.nanometer),
emissionWavelength=sbol3.Measure(530, OM.nanometer),
emissionBandpassWidth=sbol3.Measure(30, OM.nanometer),
)
fluorescence_0hrs_plate3.name = "0 hr fluorescence timepoint"
## Cover plate
seal = protocol.primitive_step(
"EvaporativeSeal", location=plate1.output_pin("samples"), type="foo"
)
seal = protocol.primitive_step(
"EvaporativeSeal", location=plate2.output_pin("samples"), type="foo"
)
seal = protocol.primitive_step(
"EvaporativeSeal", location=plate3.output_pin("samples"), type="foo"
)
## Begin outgrowth
incubate = protocol.primitive_step(
"Incubate",
location=conical_tubes.output_pin("samples"),
duration=sbol3.Measure(2, OM.hour),
temperature=sbol3.Measure(37, OM.degree_Celsius),
shakingFrequency=sbol3.Measure(220, None),
)
incubate = protocol.primitive_step(
"Incubate",
location=plate1.output_pin("samples"),
duration=sbol3.Measure(2, OM.hour),
temperature=sbol3.Measure(37, OM.degree_Celsius),
shakingFrequency=sbol3.Measure(220, None),
)
incubate = protocol.primitive_step(
"Incubate",
location=plate2.output_pin("samples"),
duration=sbol3.Measure(4, OM.hour),
temperature=sbol3.Measure(37, OM.degree_Celsius),
shakingFrequency=sbol3.Measure(220, None),
)
incubate = protocol.primitive_step(
"Incubate",
location=plate1.output_pin("samples"),
duration=sbol3.Measure(6, OM.hour),
temperature=sbol3.Measure(37, OM.degree_Celsius),
shakingFrequency=sbol3.Measure(220, None),
)
# Hold on ice to inhibit cell growth
hold = protocol.primitive_step(
"Hold",
location=conical_tubes.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
hold.description = (
"This will inhibit cell growth during the subsequent pipetting steps."
)
hold = protocol.primitive_step(
"Hold",
location=plate1.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
hold.description = (
"This will inhibit cell growth during the subsequent pipetting steps."
)
# Transfer cultures to a microplate baseline measurement and outgrowth
timepoint_2hrs = protocol.primitive_step(
"ContainerSet",
quantity=2 * len(plasmids) * 3,
specification=labop.ContainerSpec(
name="cultures (0 hr timepoint)",
queryString="cont:MicrofugeTube",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
# Hold on ice
hold = protocol.primitive_step(
"Hold",
location=timepoint_2hrs.output_pin("samples"),
temperature=sbol3.Measure(4, OM.degree_Celsius),
)
hold.description = "This will prevent cell growth while transferring samples."
transfer = protocol.primitive_step(
"Transfer",
source=conical_tubes.output_pin("samples"),
destination=timepoint_2hrs.output_pin("samples"),
amount=sbol3.Measure(1, OM.milliliter),
)
plate4 = protocol.primitive_step(
"EmptyContainer",
specification=labop.ContainerSpec(
name="plate 4",
queryString="cont:Plate96Well",
prefixMap={"cont": "https://sift.net/container-ontology/container-ontology#"},
),
)
plan = labop.SampleData(values=transfer_map)
transfer = protocol.primitive_step(
"TransferByMap",
source=timepoint_2hrs.output_pin("samples"),
destination=plate4.output_pin("samples"),
amount=sbol3.Measure(100, OM.microliter),
plan=plan,
)
# Plate the blanks
plate_blanks = protocol.primitive_step(
"Transfer",
source=[lb_cam],
destination=plate4.output_pin("samples"),
coordinates="A1:H1, A10:H10, A12:H12",
amount=sbol3.Measure(100, OM.microliter),
)
plate_blanks.description = "These are the blanks."
quick_spin = protocol.primitive_step("QuickSpin", location=plate1.output_pin("samples"))
quick_spin.description = "This will prevent cross-contamination when removing the seal."
remove_seal = protocol.primitive_step("Unseal", location=plate1.output_pin("samples"))
absorbance_2hrs_plate1 = protocol.primitive_step(
"MeasureAbsorbance",
samples=plate1.output_pin("samples"),
wavelength=sbol3.Measure(600, OM.nanometer),
)
absorbance_2hrs_plate1.name = "2 hr absorbance timepoint"
fluorescence_2hrs_plate1 = protocol.primitive_step(
"MeasureFluorescence",
samples=plate1.output_pin("samples"),
excitationWavelength=sbol3.Measure(485, OM.nanometer),
emissionWavelength=sbol3.Measure(530, OM.nanometer),
emissionBandpassWidth=sbol3.Measure(30, OM.nanometer),
)
fluorescence_2hrs_plate1.name = "2 hr fluorescence timepoint"
absorbance_2hrs_plate4 = protocol.primitive_step(
"MeasureAbsorbance",
samples=plate4.output_pin("samples"),
wavelength=sbol3.Measure(600, OM.nanometer),
)
absorbance_2hrs_plate4.name = "2 hr absorbance timepoint"
fluorescence_2hrs_plate4 = protocol.primitive_step(
"MeasureFluorescence",
samples=plate4.output_pin("samples"),
excitationWavelength=sbol3.Measure(485, OM.nanometer),
emissionWavelength=sbol3.Measure(530, OM.nanometer),
emissionBandpassWidth=sbol3.Measure(30, OM.nanometer),
)
fluorescence_2hrs_plate4.name = "2 hr fluorescence timepoint"
# endpoint_fluorescence_plate1 = protocol.primitive_step('MeasureFluorescence',
# samples=plate4.output_pin('samples'),
# excitationWavelength=sbol3.Measure(485, OM.nanometer),
# emissionWavelength=sbol3.Measure(530, OM.nanometer),
# emissionBandpassWidth=sbol3.Measure(30, OM.nanometer))
#
# endpoint_absorbance_plate2 = protocol.primitive_step('MeasureAbsorbance',
# samples=plate2.output_pin('samples'),
# wavelength=sbol3.Measure(600, OM.nanometer))
#
# endpoint_fluorescence_plate2 = protocol.primitive_step('MeasureFluorescence',
# samples=plate2.output_pin('samples'),
# excitationWavelength=sbol3.Measure(485, OM.nanometer),
# emissionWavelength=sbol3.Measure(530, OM.nanometer),
# emissionBandpassWidth=sbol3.Measure(30, OM.nanometer))
#
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=baseline_absorbance.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=absorbance_0hrs_plate1.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=absorbance_0hrs_plate2.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=absorbance_0hrs_plate3.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=fluorescence_0hrs_plate1.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=fluorescence_0hrs_plate2.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=fluorescence_0hrs_plate3.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=absorbance_2hrs_plate1.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=absorbance_2hrs_plate4.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=fluorescence_2hrs_plate1.output_pin("measurements"),
)
protocol.designate_output(
"measurements",
"http://bioprotocols.org/labop#SampleData",
source=fluorescence_2hrs_plate4.output_pin("measurements"),
)
# protocol.designate_output('measurements', 'http://bioprotocols.org/labop#SampleData', source=absorbance_plate1.output_pin('measurements'))
# protocol.designate_output('measurements', 'http://bioprotocols.org/labop#SampleData', source=fluorescence_plate1.output_pin('measurements'))
#
# protocol.designate_output('measurements', 'http://bioprotocols.org/labop#SampleData', source=endpoint_absorbance_plate1.output_pin('measurements'))
# protocol.designate_output('measurements', 'http://bioprotocols.org/labop#SampleData', source=endpoint_fluorescence_plate1.output_pin('measurements'))
#
# protocol.designate_output('measurements', 'http://bioprotocols.org/labop#SampleData', source=endpoint_absorbance_plate2.output_pin('measurements'))
# protocol.designate_output('measurements', 'http://bioprotocols.org/labop#SampleData', source=endpoint_fluorescence_plate2.output_pin('measurements'))
#
agent = sbol3.Agent("test_agent")
ee = ExecutionEngine(specializations=[MarkdownSpecialization("test_LUDOX_markdown.md")])
execution = ee.execute(protocol, agent, id="test_execution", parameter_values=[])
print(ee.specializations[0].markdown)
ee.specializations[0].markdown = ee.specializations[0].markdown.replace(
"`_E. coli_", "_`E. coli`_ `"
)
with open("example.md", "w", encoding="utf-8") as f:
f.write(ee.specializations[0].markdown)
|
from datetime import datetime, timedelta
from pytz import timezone
d = datetime(2012, 12, 21, 9, 30, 0)
print d
central = timezone('US/Central')
loc_d = central.localize(d)
print loc_d
band_d = loc_d.astimezone(timezone('Asia/Kolkata'))
print band_d
d = datetime(2013, 3, 10, 1, 45)
loc_d = central.localize(d)
print loc_d
later = loc_d + timedelta(minutes=30)
print later
later = central.normalize(loc_d + timedelta(minutes=30))
print later
print loc_d
import pytz
utc_d = loc_d.astimezone(pytz.utc)
print utc_d
later_utc = utc_d + timedelta(minutes=30)
print later_utc.astimezone(central)
print pytz.country_timezones['IN']
|
import math
import GLOBAL
from document import Document
class Competitor:
def __init__(self, logo, rect, speed):
self.__logo = logo
self.__rect = rect
self.__target = None
self.__speed = speed
def getRect(self):
return self.__rect
def selectTarget(self, docs, player):
if self.__target and docs.count(self.__target) > 0:
return True
else:
if len(docs) == 0:
self.__target = player
return True
minDistance = GLOBAL.MAP_WIDTH
self.__target = None
for d in docs:
if d.getTargeted() == False:
xSquared = (self.__rect.x - d.getRect().x) * (self.__rect.x - d.getRect().x)
ySquared = (self.__rect.y - d.getRect().y) * (self.__rect.y - d.getRect().y)
distance = math.sqrt(xSquared + ySquared)
if distance <= minDistance:
minDistance = distance
self.__target = d
if self.__target != None:
self.__target.setTargeted(True)
return True
else:
self.__target = player
return True
def moveToTarget(self):
if self.__target != None:
targetRect = self.__target.getRect()
if targetRect.center[0] < self.__rect.center[0] - self.__speed:
xOffset = -1 * self.__speed
elif targetRect.center[0] > self.__rect.center[0] + self.__speed:
xOffset = 1 * self.__speed
else:
xOffset = 0
if targetRect.center[1] < self.__rect.center[1] - self.__speed:
yOffset = -1 * self.__speed
elif targetRect.center[1] > self.__rect.center[1] + self.__speed:
yOffset = 1 * self.__speed
else:
yOffset = 0
self.__rect.move_ip(xOffset, yOffset)
def __del__(self):
if (self.__target != None):
self.__target.setTargeted = False
|
# -*- coding: utf-8 -*-
# Icon made by Freepik from www.flaticon.com
import sys
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from neuralynx import *
from program import *
if hasattr(Qt, 'AA_EnableHighDpiScaling'):
QApplication.setAttribute(Qt.AA_EnableHighDpiScaling, True)
if hasattr(Qt, 'AA_UseHighDpiPixmaps'):
QApplication.setAttribute(Qt.AA_UseHighDpiPixmaps, True)
class rangeDialog(QDialog):
def __init__(self):
super(rangeDialog, self).__init__()
self.setupUI()
self.baseFrom = None
self.baseTo = None
self.stimFrom = None
self.stimTo = None
self.stimSplit = None
self.postFrom = None
self.postTo = None
self.robotFrom = None
self.robotTo = None
def setupUI(self):
scriptDir = os.path.dirname(os.path.realpath(__file__))
self.setWindowIcon(QIcon(scriptDir + os.path.sep + 'rat.ico'))
self.resize(480, 360)
self.gridLayoutWidget = QWidget(self)
self.gridLayoutWidget.setGeometry(QRect(20, 20, 440, 260))
self.gridLayout = QGridLayout(self.gridLayoutWidget)
self.gridLayout.setContentsMargins(0, 0, 0, 0)
self.stimGroupBox = QGroupBox(self.gridLayoutWidget)
font = QFont()
font.setPointSize(18)
self.stimGroupBox.setFont(font)
self.stimGridLayoutWidget = QWidget(self.stimGroupBox)
self.stimGridLayoutWidget.setGeometry(QRect(0, 30, 180, 80))
self.stimGridLayout = QGridLayout(self.stimGridLayoutWidget)
self.stimGridLayout.setContentsMargins(0, 0, 0, 0)
self.stimFromLabel = QLabel(self.stimGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.stimFromLabel.setFont(font)
self.stimFromLabel.setAlignment(Qt.AlignCenter)
self.stimGridLayout.addWidget(self.stimFromLabel, 0, 0, 1, 1)
self.stimSplitLabel = QLabel(self.stimGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.stimSplitLabel.setFont(font)
self.stimSplitLabel.setAlignment(Qt.AlignCenter)
self.stimGridLayout.addWidget(self.stimSplitLabel, 2, 0, 1, 1)
self.stimToLabel = QLabel(self.stimGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.stimToLabel.setFont(font)
self.stimToLabel.setAlignment(Qt.AlignCenter)
self.stimGridLayout.addWidget(self.stimToLabel, 1, 0, 1, 1)
self.stimToSpinBox = QSpinBox(self.stimGridLayoutWidget)
self.stimToSpinBox.setMaximum(100000)
self.stimGridLayout.addWidget(self.stimToSpinBox, 1, 1, 1, 1)
self.stimFromSpinBox = QSpinBox(self.stimGridLayoutWidget)
self.stimFromSpinBox.setMaximum(100000)
self.stimGridLayout.addWidget(self.stimFromSpinBox, 0, 1, 1, 1)
self.stimSplitSpinBox = QSpinBox(self.stimGridLayoutWidget)
self.stimGridLayout.addWidget(self.stimSplitSpinBox, 2, 1, 1, 1)
self.gridLayout.addWidget(self.stimGroupBox, 0, 1, 1, 1)
self.BaseGroupBox = QGroupBox(self.gridLayoutWidget)
font = QFont()
font.setPointSize(18)
self.BaseGroupBox.setFont(font)
self.baseGridLayoutWidget = QWidget(self.BaseGroupBox)
self.baseGridLayoutWidget.setGeometry(QRect(0, 30, 180, 80))
self.baseGridLayout = QGridLayout(self.baseGridLayoutWidget)
self.baseGridLayout.setContentsMargins(0, 0, 0, 0)
self.baseToLabel = QLabel(self.baseGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.baseToLabel.setFont(font)
self.baseToLabel.setAlignment(Qt.AlignCenter)
self.baseGridLayout.addWidget(self.baseToLabel, 1, 0, 1, 1)
self.baseFromLabel = QLabel(self.baseGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.baseFromLabel.setFont(font)
self.baseFromLabel.setAlignment(Qt.AlignCenter)
self.baseGridLayout.addWidget(self.baseFromLabel, 0, 0, 1, 1)
self.baseFromSpinBox = QSpinBox(self.baseGridLayoutWidget)
self.baseFromSpinBox.setMaximum(100000)
self.baseGridLayout.addWidget(self.baseFromSpinBox, 0, 1, 1, 1)
self.baseToSpinBox = QSpinBox(self.baseGridLayoutWidget)
self.baseToSpinBox.setMaximum(100000)
self.baseGridLayout.addWidget(self.baseToSpinBox, 1, 1, 1, 1)
self.gridLayout.addWidget(self.BaseGroupBox, 0, 0, 1, 1)
self.postGroupBox = QGroupBox(self.gridLayoutWidget)
font = QFont()
font.setPointSize(18)
self.postGroupBox.setFont(font)
self.postGridLayoutWidget = QWidget(self.postGroupBox)
self.postGridLayoutWidget.setGeometry(QRect(0, 30, 180, 80))
self.postGridLayout = QGridLayout(self.postGridLayoutWidget)
self.postGridLayout.setContentsMargins(0, 0, 0, 0)
self.postFromLabel = QLabel(self.postGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.postFromLabel.setFont(font)
self.postFromLabel.setAlignment(Qt.AlignCenter)
self.postGridLayout.addWidget(self.postFromLabel, 0, 0, 1, 1)
self.postToLabel = QLabel(self.postGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.postToLabel.setFont(font)
self.postToLabel.setAlignment(Qt.AlignCenter)
self.postGridLayout.addWidget(self.postToLabel, 1, 0, 1, 1)
self.postFromSpinBox = QSpinBox(self.postGridLayoutWidget)
self.postFromSpinBox.setMaximum(100000)
self.postGridLayout.addWidget(self.postFromSpinBox, 0, 1, 1, 1)
self.postToSpinBox = QSpinBox(self.postGridLayoutWidget)
self.postToSpinBox.setMaximum(100000)
self.postGridLayout.addWidget(self.postToSpinBox, 1, 1, 1, 1)
self.gridLayout.addWidget(self.postGroupBox, 1, 0, 1, 1)
self.robotGroupBox = QGroupBox(self.gridLayoutWidget)
font = QFont()
font.setPointSize(18)
self.robotGroupBox.setFont(font)
self.robotGridLayoutWidget = QWidget(self.robotGroupBox)
self.robotGridLayoutWidget.setGeometry(QRect(0, 30, 180, 80))
self.robotGridLayout = QGridLayout(self.robotGridLayoutWidget)
self.robotGridLayout.setContentsMargins(0, 0, 0, 0)
self.robotFromLabel = QLabel(self.robotGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.robotFromLabel.setFont(font)
self.robotFromLabel.setAlignment(Qt.AlignCenter)
self.robotGridLayout.addWidget(self.robotFromLabel, 0, 0, 1, 1)
self.robotToLabel = QLabel(self.robotGridLayoutWidget)
font = QFont()
font.setPointSize(15)
self.robotToLabel.setFont(font)
self.robotToLabel.setAlignment(Qt.AlignCenter)
self.robotGridLayout.addWidget(self.robotToLabel, 1, 0, 1, 1)
self.robotFromSpinBox = QSpinBox(self.robotGridLayoutWidget)
self.robotFromSpinBox.setMaximum(100000)
self.robotGridLayout.addWidget(self.robotFromSpinBox, 0, 1, 1, 1)
self.robotToSpinBox = QSpinBox(self.robotGridLayoutWidget)
self.robotToSpinBox.setMaximum(100000)
self.robotGridLayout.addWidget(self.robotToSpinBox, 1, 1, 1, 1)
self.gridLayout.addWidget(self.robotGroupBox, 1, 1, 1, 1)
self.horizontalLayoutWidget = QWidget(self)
self.horizontalLayoutWidget.setGeometry(QRect(150, 300, 310, 40))
self.horizontalLayout = QHBoxLayout(self.horizontalLayoutWidget)
self.horizontalLayout.setContentsMargins(0, 0, 0, 0)
self.exitPushButton = QPushButton(self.horizontalLayoutWidget)
font = QFont()
font.setPointSize(14)
self.exitPushButton.setFont(font)
self.horizontalLayout.addWidget(self.exitPushButton)
self.exitPushButton.clicked.connect(self.close)
self.clearPushButton = QPushButton(self.horizontalLayoutWidget)
font = QFont()
font.setPointSize(14)
self.clearPushButton.setFont(font)
self.horizontalLayout.addWidget(self.clearPushButton)
self.clearPushButton.clicked.connect(self.baseFromSpinBox.clear)
self.clearPushButton.clicked.connect(self.baseToSpinBox.clear)
self.clearPushButton.clicked.connect(self.stimFromSpinBox.clear)
self.clearPushButton.clicked.connect(self.stimToSpinBox.clear)
self.clearPushButton.clicked.connect(self.stimSplitSpinBox.clear)
self.clearPushButton.clicked.connect(self.postFromSpinBox.clear)
self.clearPushButton.clicked.connect(self.postToSpinBox.clear)
self.clearPushButton.clicked.connect(self.robotFromSpinBox.clear)
self.clearPushButton.clicked.connect(self.robotToSpinBox.clear)
self.okPushButton = QPushButton(self.horizontalLayoutWidget)
font = QFont()
font.setPointSize(14)
self.okPushButton.setFont(font)
self.horizontalLayout.addWidget(self.okPushButton)
self.okPushButton.clicked.connect(self.ok_clicked)
self.retranslateUi(self)
QMetaObject.connectSlotsByName(self)
self.setTabOrder(self.baseFromSpinBox, self.baseToSpinBox)
self.setTabOrder(self.baseToSpinBox, self.stimFromSpinBox)
self.setTabOrder(self.stimFromSpinBox, self.stimToSpinBox)
self.setTabOrder(self.stimToSpinBox, self.stimSplitSpinBox)
self.setTabOrder(self.stimSplitSpinBox, self.postFromSpinBox)
self.setTabOrder(self.postFromSpinBox, self.postToSpinBox)
self.setTabOrder(self.postToSpinBox, self.robotFromSpinBox)
self.setTabOrder(self.robotFromSpinBox, self.robotToSpinBox)
self.setTabOrder(self.robotToSpinBox, self.clearPushButton)
self.setTabOrder(self.clearPushButton, self.okPushButton)
def ok_clicked(self):
self.baseFrom = self.baseFromSpinBox.value()
self.baseTo = self.baseToSpinBox.value()
self.stimFrom = self.stimFromSpinBox.value()
self.stimTo = self.stimToSpinBox.value()
self.stimSplit = self.stimSplitSpinBox.value()
self.postFrom = self.postFromSpinBox.value()
self.postTo = self.postToSpinBox.value()
self.robotFrom = self.robotFromSpinBox.value()
self.robotTo = self.robotToSpinBox.value()
self.close()
def retranslateUi(self, Dialog):
_translate = QCoreApplication.translate
Dialog.setWindowTitle(_translate("Dialog", "Range"))
self.stimGroupBox.setTitle(_translate("Dialog", "Stimulation"))
self.stimFromLabel.setText(_translate("Dialog", "From:"))
self.stimSplitLabel.setText(_translate("Dialog", "Split:"))
self.stimToLabel.setText(_translate("Dialog", "To:"))
self.BaseGroupBox.setTitle(_translate("Dialog", "Base (Pre-Robot)"))
self.baseToLabel.setText(_translate("Dialog", "To:"))
self.baseFromLabel.setText(_translate("Dialog", "From:"))
self.postGroupBox.setTitle(_translate("Dialog", "Post (Post-Robot)"))
self.postFromLabel.setText(_translate("Dialog", "From:"))
self.postToLabel.setText(_translate("Dialog", "To:"))
self.robotGroupBox.setTitle(_translate("Dialog", "Robot"))
self.robotFromLabel.setText(_translate("Dialog", "From:"))
self.robotToLabel.setText(_translate("Dialog", "To:"))
self.exitPushButton.setText(_translate("Dialog", "Exit"))
self.clearPushButton.setText(_translate("Dialog", "Clear"))
self.okPushButton.setText(_translate("Dialog", "OK"))
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
self.setupUI()
self.df = None
def setupUI(self):
scriptDir = os.path.dirname(os.path.realpath(__file__))
self.setWindowIcon(QIcon(scriptDir + os.path.sep + 'rat.ico'))
self.resize(440, 240)
self.horizontalLayoutWidget = QWidget(self)
self.horizontalLayoutWidget.setGeometry(QRect(20, 40, 400, 80))
self.horizontalLayout = QHBoxLayout(self.horizontalLayoutWidget)
self.horizontalLayout.setContentsMargins(0, 0, 0, 0)
self.label = QLabel(self.horizontalLayoutWidget)
font = QFont()
font.setPointSize(18)
self.label.setFont(font)
self.horizontalLayout.addWidget(self.label)
self.lineEdit = QLineEdit(self.horizontalLayoutWidget)
font = QFont()
font.setPointSize(18)
self.lineEdit.setFont(font)
self.horizontalLayout.addWidget(self.lineEdit)
self.lineEdit.textChanged.connect(self.getFilePath)
self.toolButton = QToolButton(self.horizontalLayoutWidget)
font = QFont()
font.setPointSize(18)
self.toolButton.setFont(font)
self.toolButton.clicked.connect(self.toolButton_clicked)
self.horizontalLayout.addWidget(self.toolButton)
self.horizontalLayoutWidget_2 = QWidget(self)
self.horizontalLayoutWidget_2.setGeometry(QRect(150, 110, 270, 80))
self.horizontalLayout_2 = QHBoxLayout(self.horizontalLayoutWidget_2)
self.horizontalLayout_2.setContentsMargins(0, 0, 0, 0)
self.exitPushButton = QPushButton(self.horizontalLayoutWidget_2)
font = QFont()
font.setPointSize(14)
self.exitPushButton.setFont(font)
self.horizontalLayout_2.addWidget(self.exitPushButton)
self.exitPushButton.clicked.connect(self.close)
self.okPushButton = QPushButton(self.horizontalLayoutWidget_2)
font = QFont()
font.setPointSize(14)
self.okPushButton.setFont(font)
self.horizontalLayout_2.addWidget(self.okPushButton)
self.okPushButton.clicked.connect(self.okButton_clicked)
self.retranslateUi(self)
QMetaObject.connectSlotsByName(self)
def toolButton_clicked(self):
fname = QFileDialog.getOpenFileName(self)
self.lineEdit.setText(fname[0])
def getFilePath(self, text):
self.df = Neuralynx.read_nev(text)
def okButton_clicked(self):
dig = rangeDialog()
dig.exec_()
if dig.baseFrom is not None and dig.baseTo is not None:
Pre_robot = Program.base(self.df, dig.baseFrom, dig.baseTo) # 829 1567
if dig.stimFrom is not None and dig.stimTo is not None and dig.stimSplit is not None:
Stim = Program.stim(self.df, dig.stimFrom, dig.stimTo, dig.stimSplit) # 1567 1880
if dig.postFrom is not None and dig.postTo is not None:
Post_robot = Program.post(self.df, dig.postFrom, dig.postTo) # 2242 2790
if dig.robotFrom is not None and dig.robotTo is not None:
Robot = Program.robot(self.df, dig.robotFrom, dig.robotTo) # 2790 3820
Stim_all = Program.stim_all(self.df)
Program.toExcel(Pre_robot, Stim, Post_robot, Robot, Stim_all)
self.close()
def retranslateUi(self, Dialog):
_translate = QCoreApplication.translate
Dialog.setWindowTitle(_translate("Dialog", "KIM LAB"))
self.label.setText(_translate("Dialog", "File:"))
self.toolButton.setText(_translate("Dialog", "..."))
self.exitPushButton.setText(_translate("Dialog", "Exit"))
self.okPushButton.setText(_translate("Dialog", "OK"))
# Back up the reference to the exceptionhook
sys._excepthook = sys.excepthook
def my_exception_hook(exctype, value, traceback):
# Print the error and traceback
print(exctype, value, traceback)
# Call the normal Exception hook after
sys._excepthook(exctype, value, traceback)
sys.exit(1)
# Set the exception hook to our wrapping function
sys.excepthook = my_exception_hook
if __name__ == "__main__":
app = QApplication(sys.argv)
window = MainWindow()
window.show()
# app.exec_()
try:
sys.exit(app.exec_())
except:
print("Exiting")
|
from yattag import Doc, indent
import os
class SubWorkflowAction:
def __init__(self, name, flow):
self.name = name
self.sub_wf_path = flow
def as_xml(self, indentation=False):
doc, tag, text = Doc().tagtext()
with tag('sub-workflow'):
with tag('app-path'):
text("/"+self.sub_wf_path + "/" + self.name)
doc.stag("propagate-configuration")
xml = doc.getvalue()
if indentation:
return indent(xml)
else:
return xml
class ShellAction:
def __init__(self, name, command, env, archives=[], args=[], files=[]):
self.name = name
self.command = command
self.environment_vars = env
self.arguments = args
self.files = files
self.archives = archives
def as_xml(self, indentation=False):
doc, tag, text = Doc().tagtext()
with tag('shell', xmlns="uri:oozie:shell-action:0.2"):
#do we actually need these even if we dont use them?
with tag('job-tracker'):
text(os.environ["JOBTRACKER"])
with tag('name-node'):
text(os.environ["NAMENODE"])
with tag('exec'):
text(self.command)
for argument in self.arguments:
with tag('argument'):
text(argument)
for env in self.environment_vars:
with tag('env-var'):
text(env)
for archive in self.archives:
with tag('archive'):
text(archive)
for f in self.files:
with tag('file'):
text(f)
xml = doc.getvalue()
if indentation:
return indent(xml)
else:
return xml
|
print("word"[0:3])
|
import logging
import time
import random
import time
import json
from os.path import join
from . import dependencies
import urllib3
import requests
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
from .json_uploader.json_uploader import JsonUploader
from .station_info.station_info import StationInfo
from .ucontrollers.ucontrollers import UControllers, UControllersError
from .updater.updater import Updater, UpdateFailed
from .utils import is_night, sleep, get_trace, station_get_json, station_register, get_security_token, set_security_token
from . import config
def run():
print(config.WELCOME_MESSAGE)
errors = []
format = '[%(asctime)s] [%(levelname)s] %(name)s: %(message)s'
datefmt = '%Y/%m/%d %H:%M:%S'
if config.DEBUG:
level=logging.DEBUG
else:
level=logging.INFO
logging.basicConfig(level=level, format=format, datefmt=datefmt)
logger = logging.getLogger("StationControl")
logger.info("Starting control & telemetry")
while True:
try:
'''
In general, it's better to provide values from config than the
config object itself to reduce coupling. However, an exception is made
for the Updater, as it needs to know the whole project layout.
'''
with Updater(config) as updater:
if updater.update_required():
updater.update()
else:
needs_update = False
with StationInfo(join(config.PROJECT_PATH, config.STATION_INFO_RELPATH)) as station_info, \
JsonUploader(config.URL_DATA) as json_uploader:
for error in errors: json_uploader.queue(json.dumps(error))
errors = []
security_token = get_security_token()
cameras_on = not is_night()
while not needs_update:
try:
ucontroller_count = 0
with UControllers(config.EMULATE_UCONTROLLERS) as ucontrollers:
ucontroller_count = ucontrollers.get_ucontroller_count()
while True:
if security_token == None:
security_token = station_register(station_get_json(security_token, station_info, ucontrollers))
if security_token == None:
logger.warning("Failed to register. Will retry later.")
else:
set_security_token(security_token)
if security_token != None:
if is_night() and not cameras_on:
ucontrollers.daynight_inform(True)
cameras_on = True
elif not is_night() and cameras_on:
ucontrollers.daynight_inform(False)
cameras_on = False
json_uploader.queue(station_get_json(security_token, station_info, ucontrollers))
sleep()
if updater.update_required():
needs_update = True
break
if ucontroller_count == 0:
logger.warning("No microcontrollers detected, retrying...")
break
except UControllersError as e:
trace = get_trace(e)
if e.ucontroller_name != "": trace = e.ucontroller_name + ":\n" + trace
logger.error("Microcontrollers threw an error:\n" + trace)
error = { "error" : trace, "component" : "Computer", "timestamp" : int(time.time()) }
if security_token != None: error['security_token'] = security_token
json_uploader.queue(json.dumps(error))
logger.info("Will try to reinitialize microcontrollers later.")
sleep()
logger.info("Reinitializing...")
updater.update()
except KeyboardInterrupt:
logger.info("Ending control & telemetry.")
break
except UpdateFailed:
update_failed = True
logger.warning("Update failed. Waiting before retrying...")
try:
sleep()
except KeyboardInterrupt:
logger.info("Ending control & telemetry.")
break
logger.info("Retrying...")
except Exception as e:
trace = get_trace(e)
logger.error("Unhandled exception occured:\n" + trace)
error = { "error" : trace, "component" : "Computer", "timestamp" : int(time.time()) }
if security_token != None: error['security_token'] = security_token
errors.append(error)
logger.info("Waiting before restart...")
try:
sleep()
except KeyboardInterrupt:
logger.info("Ending control & telemetry.")
break
logger.info("Restarting...")
|
__author__ = 'Bill'
import cProfile
cProfile.run("from generate_palindromes import generate_palindromes; generate_palindromes(10**10)")
|
class Aresta:
def __init__(self, verticeA, verticeB, w):
self.verticeA = verticeA
self.verticeB = verticeB
self.w = w
def setVerticeA(self, verticeA):
self.verticeA = verticeA
def setVerticeB(self, verticeB):
self.verticeB = verticeB
def setW(self, w):
self.w = w
def getVerticeA(self):
return self.verticeA
def getVerticeB(self):
return self.verticeB
def getW(self):
return self.w
|
# -*- coding: utf-8 -*-
import scrapy
from DaoMuBiJiSpider.items import DaomubijispiderItem
class DaomubijiSpider(scrapy.Spider):
name = 'daomubiji'
allowed_domains = ['daomubiji.com']
start_urls = ['http://www.daomubiji.com/'] # "http://seputu.com/"
def parse(self, response):
"""
提取盗墓笔记全集的url地址
:param response: 盗墓笔记全集所在的网页源代码
:return:
"""
fiction_urls = response.xpath('//article[@class="article-content"]/p/a/@href').extract()
for fiction_url in fiction_urls:
yield scrapy.Request(
url=fiction_url,
callback=self.parse_chapter
)
def parse_chapter(self, response):
"""
提取盗墓笔记每集中的相关数据信息
:param response: 每集网页源代码
:return:
"""
# 每集中所有章节
articles = response.xpath('//article')
for article in articles:
item = DaomubijispiderItem()
chapter_detail_url = article.xpath('./a/@href').extract_first()
infos = article.xpath('./a/text()').extract_first().split()
if 3 == len(infos):
item["name"] = infos[0]
item["chapter_nums"] = infos[1]
item["chapter_title"] = infos[2]
else:
item["name"] = infos[0]
item["chapter_title"] = infos[1]
item["chapter_nums"] = ''
yield scrapy.Request(
url=chapter_detail_url,
callback=self.parse_detail_chapter,
meta={"item": item}
)
@staticmethod
def parse_detail_chapter(response):
"""
获取章节详情内容数据
:param response: 详情页源代码
:return:
"""
item = response.meta.get("item")
contents = response.xpath('//article[@class="article-content"]/p/text()').extract()
item["content"] = "\r\n".join(list(map(lambda x: x.replace("\u3000|\n|\n \t\t\t", "").strip(), contents)))
yield item
|
from django.utils.text import slugify
# this function removes white space and put hyphens
def unique_slug_generator(model_instance, title, slug_field):
"""
:param model_instance:
:param title:
:param slug_field:
:return:
"""
slug = slugify(title)
model_class = model_instance.__class__
while model_class._default_manager.filter(slug=slug).exists():
object_pk = model_class._default_manager.latest('pk')
object_pk = object_pk.pk + 1
slug = f'{slug}-{object_pk}'
return slug
|
import pdb
value = [1,2,3,4,5,6,7,8,9,10]
for val in value:
mysum = 0
mysum += val
pdb.set_trace()
print(mysum)
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s: %(message)s', datefmt = '%m/%d/%y %I:%M%S %p')
logging.debug("This msg will be ignored")
logging.info("This should be logged")
logging.warning("And this will be logged too")
import timeit
print('by index', timeit.timeit(stmt="mydict['c']", setup="mydict = {'a':1,'b':2,'c':3}", number=1000000))
print('by get', timeit.timeit(stmt="mydict.get('c')", setup="mydict = {'a':1,'b':2,'c':3}", number=1000000))
def testme(this_dict, key):
return this_dict[key]
print(timeit.timeit("testme(mydict,key)",setup="from __main__ import testme; mydict = {'a':1,'b':2,'c':3}; key = 'c'",number=10000))
import sys
def doubleit(x):
if not isinstance(x, (int, float)):
raise TypeError
var = x * 2
return var
def doublelines(filename):
with open(filename) as fh:
newlist = [str(doubleit(int(val))) for val in fh]
with open(filename, 'w') as fh:
fh.write('\n'.join(newlist))
if __name__ == '__main__':
input_val = sys.argv[1]
doubled_val = doubleit(input_val)
print("The value of {} is {}".format(input_val, double_val))
|
pyth = input("Do you know Python")
js = input("Do you know JavaScript")
csharp = input("Do you know csharp")
if pyth == "Yes" and js == "No" or csharp == "Yes":
print("JS is mandatory, Please try letter")
elif pyth == "Yes" and js == "Yes" or csharp == "No":
print("Welcome to CodeScript")
else:
print("Better luck next time!")
|
from __future__ import print_function
import copy
import random
import datetime
MAX = 1e10
class Team43:
def __init__(self):
self.termVal = MAX
self.limit = 5
self.count = 0
self.gameweight = [[6,4,4,6],[4,3,3,4],[4,3,3,4],[6,4,4,6]]
self.weight = [[2,3,3,2],[3,4,4,3],[3,4,4,3],[2,3,3,2]]
self.trans = {}
self.timeLimit = datetime.timedelta(seconds = 15)
self.begin = MAX
self.limitReach = 0
def ifwin(self,board,x,y,mark,anti_mark):
scorewin=MAX/20
for i in xrange(4):
if (board.board_status[4*x+i][4*y]==mark):
if (board.board_status[4*x+i][4*y+1]==mark):
if (board.board_status[4*x+i][4*y+2]==mark):
if (board.board_status[4*x+i][4*y+3]==mark):
return (scorewin)
# Vertical win
for i in xrange(4):
if (board.board_status[4*x][4*y+i]==mark):
if (board.board_status[4*x+1][4*y+i]==mark):
if (board.board_status[4*x+2][4*y+i]==mark):
if (board.board_status[4*x+3][4*y+i]==mark):
return (scorewin)
# Diamond win
for i in xrange(2):
for j in xrange(2):
if (board.board_status[4*x+i][4*y+j+1]==mark):
if (board.board_status[4*x+i+1][4*y+j+2]==mark):
if (board.board_status[4*x+i+2][4*y+j+1]==mark):
if( board.board_status[4*x+i+1][4*y+j]==mark):
return (scorewin)
return 0
def block_ev(self,board,x,y,mark,anti_mark):
score=self.ifwin(board,x,y,mark,anti_mark)
if (score != 0):
return score
hor_table=[[0.5 for i in range(4)]for j in range (4)]
for i in range(4):
temp=0
product=1
weigh=0
for j in range(4):
if board.board_status[4*x + i][4*y + j]==mark:
temp=temp+1
hor_table[i][j]=temp
elif board.board_status[4*x + i][4*y + j]==anti_mark:
temp=0
hor_table[i][j]=temp
product=product*hor_table[i][j]
weigh+=self.weight[i][j]
score+=product*weigh
ver_table=[[0.5 for i in range(4)]for j in range (4)]
for j in range(4):
temp=0
product=1
weigh=0
for i in range(4):
if board.board_status[4*x + i][4*y + j]==mark:
temp=temp+1
ver_table[i][j]=temp
elif board.board_status[4*x + i][4*y + j]==anti_mark:
temp=0
ver_table[i][j]=temp
product=product*hor_table[i][j]
weigh+=self.weight[i][j]
score+=product*weigh
ldi_table=[[0.5 for i in range(4)]for j in range (4)]
for i in range(2):
j=1
temp=0
product=1
weigh=0
for k in range(2):
if board.board_status[4*x + i+k][4*y + j+k]==mark:
temp=temp+1
ldi_table[i+k][j+k]=temp
elif board.board_status[4*x + i+k][4*y + j+k]==anti_mark:
temp=0
ldi_table[i+k][j+k]=temp
product=product*ldi_table[i+k][j+k]
weigh+=self.weight[i+k][j+k]
offi=i+1;
offj=j-1;
for k in range(2):
if board.board_status[4*x + offi+k][4*y + offj+k]==mark:
ldi_table[offi+k][offj+k]=temp+1
temp=temp+1
elif board.board_status[4*x + offi+k][4*y + offj+k]==anti_mark:
temp=0
ldi_table[offi+k][offj+k]=temp
product=product*ldi_table[offi+k][offj+k]
weigh+=self.weight[offi+k][offj+k]
score+=product*weigh
rdi_table=[[0.5 for i in range(4)]for j in range (4)]
for i in range(2):
j=2
temp=0
product=1
weigh=0
for k in range(2):
if board.board_status[4*x + i+k][4*y + j+k]==mark:
temp=temp+1
rdi_table[i+k][j+k]=temp
elif board.board_status[4*x + i+k][4*y + j+k]==anti_mark:
temp=0
rdi_table[i+k][j+k]=temp
product=product*rdi_table[i+k][j+k]
weigh+=self.weight[i+k][j+k]
offi=i+1;
offj=j-1;
for k in range(2):
if board.board_status[4*x + offi+k][4*y + offj+k]==mark:
rdi_table[offi+k][offj+k]=temp+1
temp=temp+1
elif board.board_status[4*x + offi+k][4*y + offj+k]==anti_mark:
temp=0
rdi_table[offi+k][offj+k]=temp
product=product*rdi_table[offi+k][offj+k]
weigh+=self.weight[offi+k][offj+k]
score+=product*weigh
# for i in range(4):
# for j in range(4):
# print board[4*x + i][4*y + j],
# print
# print
return score
def game_ev(self,board,tmpBlock,mark,anti_mark):
score=0
scorewin=MAX*10
for i in xrange(4):
if (board.block_status[i][0]==mark):
if (board.block_status[i][1]==mark):
if (board.block_status[i][2]==mark):
if (board.block_status[i][3]==mark):
return (scorewin)
# Vertical win
for i in xrange(4):
if (board.block_status[0][i]==mark):
if (board.block_status[1][i]==mark):
if (board.block_status[2][i]==mark):
if (board.block_status[3][i]==mark):
return (scorewin)
# Diamond win
for i in xrange(2):
for j in xrange(2):
if (board.block_status[i][j+1]==mark):
if (board.block_status[i+1][j+2]==mark):
if (board.block_status[i+2][j+1]==mark):
if( board.block_status[i+1][j]==mark):
return (scorewin)
x=0
y=0
hor_table=[[0.5 for i in range(4)]for j in range (4)]
for i in range(4):
temp=0
product=1
weigh=0
for j in range(4):
if board.block_status[i][j]==mark:
temp=temp+1
hor_table[i][j]=temp
elif board.block_status[4*x + i][4*y + j]==anti_mark:
temp=0
hor_table[i][j]=temp
product=product*hor_table[i][j]
weigh+=self.gameweight[i][j]
score+=product*weigh
ver_table=[[0.5 for i in range(4)]for j in range (4)]
for j in range(4):
temp=0
product=1
weigh=0
for i in range(4):
if board.block_status[4*x + i][4*y + j]==mark:
temp=temp+1
ver_table[i][j]=temp
elif board.block_status[4*x + i][4*y + j]==anti_mark:
temp=0
ver_table[i][j]=temp
product=product*hor_table[i][j]
weigh+=self.gameweight[i][j]
score+=product*weigh
ldi_table=[[0.5 for i in range(4)]for j in range (4)]
for i in range(2):
j=1
temp=0
product=1
weigh=0
for k in range(2):
if board.block_status[4*x + i+k][4*y + j+k]==mark:
temp=temp+1
ldi_table[i+k][j+k]=temp
elif board.block_status[4*x + i+k][4*y + j+k]==anti_mark:
temp=0
ldi_table[i+k][j+k]=temp
product=product*ldi_table[i+k][j+k]
weigh+=self.gameweight[i+k][j+k]
offi=i+1;
offj=j-1;
for k in range(2):
if board.block_status[4*x + offi+k][4*y + offj+k]==mark:
ldi_table[offi+k][offj+k]=temp+1
temp=temp+1
elif board.block_status[4*x + offi+k][4*y + offj+k]==anti_mark:
temp=0
ldi_table[offi+k][offj+k]=temp
product=product*ldi_table[offi+k][offj+k]
weigh+=self.gameweight[offi+k][offj+k]
score+=product*weigh
rdi_table=[[0.5 for i in range(4)]for j in range (4)]
for i in range(2):
j=2
temp=0
product=1
weigh=0
for k in range(2):
if board.block_status[4*x + i+k][4*y + j+k]==mark:
temp=temp+1
rdi_table[i+k][j+k]=temp
elif board.block_status[4*x + i+k][4*y + j+k]==anti_mark:
temp=0
rdi_table[i+k][j+k]=temp
product=product*rdi_table[i+k][j+k]
weigh+=self.gameweight[i+k][j+k]
offi=i+1;
offj=j-1;
for k in range(2):
if board.block_status[4*x + offi+k][4*y + offj+k]==mark:
rdi_table[offi+k][offj+k]=temp+1
temp=temp+1
elif board.block_status[4*x + offi+k][4*y + offj+k]==anti_mark:
temp=0
rdi_table[offi+k][offj+k]=temp
product=product*rdi_table[offi+k][offj+k]
weigh+=self.gameweight[offi+k][offj+k]
score+=product*weigh
return score*100
def heuristic(self, board,mark,anti_mark):
tmpBlock = copy.deepcopy(board.block_status)
final = 0
for i in xrange(4):
for j in xrange(4):
blvalue = self.block_ev(board,i,j,mark,anti_mark)
# print(aaja,i,j)
final += blvalue
final += self.game_ev(board,tmpBlock,mark,anti_mark)
#final+=random.randint(500,1000)
del(tmpBlock)
return final
def alphaBeta(self, board, old_move, flag, depth, alpha, beta, cntwin):
# Taking 'x' as the maximising player
# nodeval[0]=heurestic value of the node/board state , nodeval[1]=chosen position of the marker
# CACHING
hashval = hash(str(board.board_status))
if(self.trans.has_key(hashval)):
# print("hash exists")
bounds = self.trans[hashval]
if(bounds[0] >= beta):
return bounds[0],old_move
if(bounds[1] <= alpha):
return bounds[1],old_move
# print("also returning")
alpha = max(alpha,bounds[0])
beta = min(beta,bounds[1])
cells = board.find_valid_move_cells(old_move)
random.shuffle(cells)
if (flag == 'x'):
nodeVal = -MAX, cells[0]
tmp = copy.deepcopy(board.block_status)
a = alpha
for chosen in cells :
if datetime.datetime.utcnow() - self.begin >= self.timeLimit :
# print("breaking at depth ",depth)
self.limitReach = 1
break
board.update(old_move, chosen, flag)
# print("chosen ",chosen)
if (board.find_terminal_state()[0] == 'o'):
# O WINS THE BOARD
board.board_status[chosen[0]][chosen[1]] = '-'
board.block_status = copy.deepcopy(tmp)
continue
elif (board.find_terminal_state()[0] == 'x'):
# X WINS THE BOARD
board.board_status[chosen[0]][chosen[1]] = '-'
board.block_status = copy.deepcopy(tmp)
nodeVal = self.termVal,chosen
break
elif(board.find_terminal_state()[0] == 'NONE'):
# DRAW OF THE FINAL BOARD
x = 0
d = 0
o = 0
tmp1 = 0
for i2 in xrange(4):
for j2 in xrange(4):
if(board.block_status[i2][j2] == 'x'):
x += 1*(self.gameweight[i2][j2])
if(board.block_status[i2][j2] == 'o'):
o += 1*(self.gameweight[i2][j2])
if(board.block_status[i2][j2] == 'd'):
d += 1
if(x==o):
tmp1 = 0
elif(x>o):
tmp1 = MAX/4 + 80*(x-o)
else:
tmp1 = -MAX/4 - 80*(o-x)
# print(tmp1)
elif( depth >= self.limit):
tmp1 = self.heuristic(board,'x','o')
# print("Heuristic value for ",chosen," is ",tmp1)
else:
checkwin=self.ifwin(board,chosen[0]/4,chosen[1]/4,'x','o')
if (checkwin==MAX/20 and cntwin==0):
# print ('depth is ',depth,' and pos is ',chosen[0],' ',chosen[1],' for ',flag)
tmp1 = self.alphaBeta(board, chosen, 'x', depth+1, a, beta,1)[0]
else:
# block win on bonus move
tmp1 = self.alphaBeta(board, chosen, 'o', depth+1, a, beta,0)[0]
board.board_status[chosen[0]][chosen[1]] = '-'
board.block_status = copy.deepcopy(tmp)
if(nodeVal[0] < tmp1):
nodeVal = tmp1,chosen
# print("The nodeval is ",nodeVal)
a = max(a, tmp1)
if beta <= nodeVal[0] :
break
del(tmp)
if (flag == 'o'):
nodeVal = MAX, cells[0]
tmp = copy.deepcopy(board.block_status)
b = beta
for chosen in cells :
if datetime.datetime.utcnow() - self.begin >= self.timeLimit :
# print("breaking")
self.limitReach = 1
break
board.update(old_move, chosen, flag)
if(board.find_terminal_state()[0] == 'o'):
board.board_status[chosen[0]][chosen[1]] = '-'
board.block_status = copy.deepcopy(tmp)
nodeVal = -1*self.termVal,chosen
break
elif(board.find_terminal_state()[0] == 'x'):
board.board_status[chosen[0]][chosen[1]] = '-'
board.block_status = copy.deepcopy(tmp)
continue
elif(board.find_terminal_state()[0] == 'NONE'):
x = 0
d = 0
o = 0
tmp1 = 0
for i2 in range(4):
for j2 in range(4):
if board.block_status[i2][j2] == 'x':
x += 1*(self.gameweight[i2][j2])
if board.block_status[i2][j2] == 'o':
o += 1*(self.gameweight[i2][j2])
if board.block_status[i2][j2] == 'd':
d += 1
if(x==o):
tmp1 = 0
elif(x>o):
tmp1 = MAX/4 + 80*(x-o)
else:
tmp1 = -MAX/4 - 80*(o-x)
elif(depth >= self.limit):
tmp1 = -1*self.heuristic(board,'o','x')
else:
checkwin=-self.ifwin(board,chosen[0]/4,chosen[1]/4,'o','x')
if (checkwin==-MAX/20 and cntwin==0):
# print ('depth is ',depth,' and pos is ',chosen[0],' ',chosen[1],' for ',flag)
tmp1 = self.alphaBeta(board, chosen, 'o', depth+1, alpha, b,1)[0]
else:
# block win on bonus move
tmp1 = self.alphaBeta(board, chosen, 'x', depth+1, alpha, b,0)[0]
board.board_status[chosen[0]][chosen[1]] = '-'
board.block_status = copy.deepcopy(tmp)
if(nodeVal[0] > tmp1):
nodeVal = tmp1,chosen
b = min(b, tmp1)
if alpha >= nodeVal[0] :
break
del(tmp)
# print("return value is ",nodeVal)
if(nodeVal[0] <= alpha):
self.trans[hashval] = [-MAX,nodeVal[0]]
if(nodeVal[0] > alpha and nodeVal[0] < beta):
self.trans[hashval] = [nodeVal[0],nodeVal[0]]
if(nodeVal[0]>=beta):
self.trans[hashval] = [nodeVal[0],MAX]
# print(self.trans.items())
return nodeVal
def opp_win(self,board,move,mark,anti_mark):
score=0
x=move[0]%4
y=move[1]%4
for i in xrange(4):
temp=0
for j in range(4):
if (board.board_status[4*x+i][4*y+j]==anti_mark):
temp=temp+10
elif(board.board_status[4*x+i][4*y+j]==mark):
temp=temp-20
score=max(temp,score)
# Vertical win
for j in xrange(4):
temp=0
for i in range(4):
if (board.board_status[4*x+i][4*y+j]==anti_mark):
temp=temp+10
elif(board.board_status[4*x+i][4*y+j]==mark):
temp=temp-20
score=max(temp,score)
# Diamond win
for i in xrange(2):
temp=0
for j in xrange(2):
if (board.board_status[4*x+i][4*y+j+1]==anti_mark):
temp=temp+10
elif (board.board_status[4*x+i][4*y+j+1]==mark):
temp=temp-20
if (board.board_status[4*x+i+1][4*y+j+2]==anti_mark):
temp=temp+10
elif (board.board_status[4*x+i+1][4*y+j+2]==mark):
temp=temp-20
if (board.board_status[4*x+i+2][4*y+j+1]==anti_mark):
temp=temp+10
elif (board.board_status[4*x+i+2][4*y+j+1]==mark):
temp=temp-20
if( board.board_status[4*x+i+1][4*y+j]==anti_mark):
temp=temp+10
elif( board.board_status[4*x+i+1][4*y+j]==mark):
temp=temp-20
score=max(temp,score)
return score
def check(self,board,old_move,mymove,mark,anti_mark):
points=0
minp=1000000
board.update(old_move, mymove, mark)
if(self.ifwin(board,old_move[0]%4,old_move[1]%4,mark,anti_mark) ==MAX/20):
board.board_status[mymove[0]][mymove[1]]='-'
board.block_status[mymove[0]/4][mymove[1]/4]='-'
return mymove
board.board_status[mymove[0]][mymove[1]]='-'
board.block_status[mymove[0]/4][mymove[1]/4]='-'
points=self.opp_win(board,mymove,mark,anti_mark)
if(points < 30):
return mymove
cells=board.find_valid_move_cells(old_move)
#print (cells)
for chosen in cells :
points=self.opp_win(board,chosen,mark,anti_mark)
if(points <= minp):
minp=points
mymove=chosen
return mymove
def move(self, board, old_move, flag):
self.begin = datetime.datetime.utcnow()
self.count += 1
self.limitReach = 0
self.trans.clear()
# print(self.trans.items())
mymove = board.find_valid_move_cells(old_move)[0]
for i in xrange(3,120):
self.trans.clear()
self.limit = i
# print("in depth ",i)
bval = self.alphaBeta(board, old_move, flag, 1, -MAX, MAX,0)
getval = bval[1]
# print("returned from depth ",i)
if(self.limitReach == 0):
mymove = getval
else:
break
if flag=='x':
anti_flag='o'
else:
anti_flag='x'
mymove=self.check(board,old_move,mymove,flag,anti_flag)
return mymove[0], mymove[1]
|
"""
THIS IS AN EXAMPLE INPUT FILE. NOT REQUIRED FOR THE SCRIPT TO WORK.
"""
from flask import Flask, request, redirect
import os
import jinja2
## create template directory
# grab the location of the folder for the current file, and append "templates"
# as folder name
template_dir = os.path.join(os.path.dirname(__name__), "templates") ## leave me
# initialize jinja2 engine
jinja_env = jinja2.Environment(loader=jinja2.FileSystemLoader(template_dir), autoescape=True)
app = Flask(__name__)
app.config["DEBUG"] = True
lc_form = """
<!doctype html>
<html>
<body>
<style>
br {margin-bottom: 20px;}
</style>
<form method='POST'>
<label>type=text
<input name="user-name" type="text" />
</label>
<br>
<label>type=password
<input name="user-password" type="password" />
</label>
<br>
<label>type=email
<input name="user-email" type="email" />
</label>
<br>
<input name="shopping-cart-id" value="0129384" type="hidden" />
<br>
<label>Ketchup
<input type="checkbox" name="cb1" value="first-cb" />
</label>
<br>
<label>Mustard
<input type="checkbox" name="cb2" value="second-cb" />
</label>
<br>
<label>Small
<input type="radio" name="coffee-size" value="sm" />
</label>
<label>Medium
<input type="radio" name="coffee-size" value="med" />
</label>
<label>Large
<input type="radio" name="coffee-size" value="lg" />
</label>
<br>
<label>Your life story
<textarea name="life-story"></textarea>
</label>
<br>
<label>LaunchCode Hub
<select name="lc-hub">
<option value="kc">Kansas City</option>
<option value="mia">Miami</option>
<option value="ri">Providence</option>
<option value="sea">Seattle</option>
<option value="pdx">Portland</option>
</select>
</label>
<br>
<input type="submit" />
</form>
</body>
</html>
"""
@app.route("/")
def index():
# grab template relative to templates folder
template = jinja_env.get_template("hello_form.html")
return template.render()
@app.route("/hello")
def hello():
name = request.args.get('name')
template = jinja_env.get_template("hello_greetings.html")
return template.render(name=name)
@app.route("/form-inputs")
def form_inputs():
return lc_form
@app.route("/form-inputs", methods=["POST"])
def print_form_values():
response = ""
for field in request.form.keys():
response += "<b>{key}</b>: {value}<br>".format(key=field, value=request.form[field])
return response
@app.route("/validate-time")
def display_time_form():
template = jinja_env.get_template("time_form.html")
return template.render() # does not need empty values, like .format() does
def is_integer(num_string):
try:
int(num_string)
return True
except ValueError:
return False
@app.route("/validate-time", methods=["POST"])
def validate_time():
hours = request.form["hours"]
minutes = request.form["minutes"]
hours_error = ""
minutes_error = ""
# check if given integer values
if not is_integer(hours):
hours_error = "Not a valid integer."
hours = "" # clear it out to redisplay form without it
else:
hours = int(hours)
if hours > 23 or hours < 0:
hours_error = "Hours value out of range (0-23)."
hours = "" # clear it out to redisplay form without it
if not is_integer(minutes):
minutes_error = "Not a valid integer."
minutes = "" # clear it out to redisplay form without it
else:
minutes = int(minutes)
if minutes > 59 or minutes < 0:
minutes_error = "Minutes value out of range (0-59)."
minutes = "" # clear it out to redisplay form without it
if not minutes_error and not hours_error: # empty string is truthy
time = str(hours) + ":" + str(minutes)
return redirect("valid-time?time={0}".format(time))
else:
template = jinja_env.get_template("time_form.html")
return template.render(hours=hours,
hours_error=hours_error,
minutes=minutes,
minutes_error=minutes_error)
@app.route("/valid-time")
def valid_time():
time = request.args.get("time")
return "<h1>You submitted {0}. Thanks for submitting a valid time!</h1>".format(time)
tasks = [] # keep tasks here for now
@app.route("/todos", methods=["POST", "GET"])
def todos():
# check if you are here via POST, and add task:
if request.method == "POST":
task = request.form['task']
tasks.append(task)
template = jinja_env.get_template("todos.html")
return template.render(title="TODOs", tasks=tasks) # pass the list to template
if __name__ == "__main__":
app.run()
|
# -*- coding: utf-8 -*-
"""
Created on Tue May 19 12:16:36 2015
@author: Martin Nguyen
"""
from numpy import random
from StableIOPClass import StableIOP
class TreatmentBlock2 (object):
def __init__ (self,Attribute,params,medicalRecords):
self.Attribute = Attribute
self.params = params
self.medicalRecords = medicalRecords
def update(self):
if self.medicalRecords['OnTrabeculectomy'] == False:
self.SurgeryTE()
else:
self.SetNumberofVisits()
self.DeterminetoExitTEblock()
def SurgeryTE(self):
#self.Attribute['TrabeculectomyIOP'] = self.Attribute['IOP']
self.Attribute['IOP'] = random.normal(12.5,0.3)
self.medicalRecords['ContinueTreatment'] = False
self.medicalRecords['OnTrabeculectomy'] = True
self.medicalRecords['MedicationIntake'] = 0
self.medicalRecords['NumberTrabeculectomy'] +=1
self.medicalRecords['CurrentMedicationType'] = 30
self.medicalRecords['TreatmentOverallStatus'] = 0
self.params['SideEffect'] = 0
def SetNumberofVisits(self):
if self.medicalRecords['MedicationIntake'] == 0 or self.medicalRecords['MedicationIntake'] == 1 or self.medicalRecords['MedicationIntake'] == 2 or self.medicalRecords['MedicationIntake'] == 3:
self.params['time_next_visit'] = 0.1
elif self.medicalRecords['MedicationIntake'] == 4 or self.medicalRecords['MedicationIntake'] == 5 or self.medicalRecords['MedicationIntake'] == 6:
self.params['time_next_visit'] = 0.25
elif self.medicalRecords['MedicationIntake'] == 7 or self.medicalRecords['MedicationIntake'] == 8:
self.params['time_next_visit'] = 0.5
elif self.medicalRecords['MedicationIntake'] == 9:
self.params['time_next_visit'] = 1
elif self.medicalRecords['MedicationIntake'] == 10:
self.params['time_next_visit'] = 6
else:
exam = StableIOP(self.Attribute,self.params)
exam.StableSetting()
def DeterminetoExitTEblock (self):
if self.medicalRecords['TreatmentOverallStatus'] == 2 :
#self.medicalRecords['ContinueTreatment'] = False
if self.medicalRecords['MedicationIntake'] < 9:
self.medicalRecords['TrabeculectomySuccess'] = False
self.medicalRecords['OnTrabeculectomy'] = False
self.medicalRecords['ExitCode'] = True
self.medicalRecords['MedicationIntake'] = 0
else:
self.medicalRecords['OnTrabeculectomy'] = False
self.medicalRecords['ExitCode'] = True
self.medicalRecords['MedicationIntake'] = 0
|
#!/usr/bin/env python3.6
from copy import deepcopy
import json
import random
def get_keys(data):
"""Generate list of keys to all (nested) attributes of data.
Example: get_keys({'a': 1, 'b': [1, 2]})
-> [('a',), ('b',), ('b', 0), ('b', 1)]
"""
keys = []
if isinstance(data, dict):
for k in data:
keys.append((k,))
subkeys = get_keys(data[k])
for sk in subkeys:
keys.append((k,) + sk)
elif isinstance(data, list):
for i, val in enumerate(data):
keys.append((i,))
subkeys = get_keys(val)
for sk in subkeys:
keys.append((i,) + sk)
return keys
#: Unique object for deletion in mutation list
DELETE = []
def possible_mutations(value):
"""Generate list of possible mutations for value."""
results = [DELETE]
results += [0, 1, -1, 319723912739871239872193871289 ** 40, None, '', '#',
'asd', -0.0, 0.0, True, False, [], [1], {}, {'a': 1}]
if isinstance(value, str):
results += [value * 2, value * 100, 'asd' * 800, '@', '&', '\n', '{}',
'\u20bf']
if '2018' in value:
results.append(value.replace('2018', '1018'))
results.append(value.replace('2018', '3018'))
if not isinstance(value, str):
results.append(str(value))
# if value is a number type, or an str with a number value
try:
try:
value = int(value)
except (ValueError, TypeError):
value = float(value)
vals = [-value, value + 1, value - 1]
results += vals
results += map(str, vals)
except (ValueError, TypeError):
pass
return results
def resolve_keypath(value, key_path):
"""Get contained object by using keys.
Example: resolve_keypath({'a': [[[['x']]]]}, ['a', 0, 0, 0, 0]) -> 'x'
"""
for k in key_path:
value = value[k]
return value
def apply_mutations(original_json, mutations):
"""Apply specified mutations to object.
Args:
original_json: Object to be modified.
mutations: Keypath+mutation pairs.
"""
copy = deepcopy(original_json)
for key_path, mut in mutations:
# retrieve the direct container of the mutated attribute
value = copy
try:
value = resolve_keypath(value, key_path[:-1])
except (KeyError, IndexError, TypeError):
# container has been replaced or deleted
continue
if not isinstance(value, (dict, list)):
# container has been modified to a non-composite value
continue
last_key = key_path[-1]
if mut is DELETE:
try:
del value[last_key]
except (KeyError, IndexError):
pass
else:
try:
value[last_key] = mut
except (IndexError, TypeError):
value.append(mut)
return copy
class Fuzzer():
def __init__(self, input_json):
self.input = json.loads(input_json)
self.keys = get_keys(self.input)
self.key_idx = 0
self.mutation_idx = 0
self.mutations = None
def fuzz(self):
if self.key_idx >= len(self.keys):
raise StopIteration
key_path = self.keys[self.key_idx]
# generate mutation list when we start mutating a different attribute
if self.mutation_idx == 0:
value = resolve_keypath(self.input, key_path)
self.mutations = possible_mutations(value)
# select next mutation for the current attribute
mut = self.mutations[self.mutation_idx]
result = apply_mutations(self.input, [(key_path, mut)])
# select next mutation (used on the next call to fuzz)
self.mutation_idx += 1
# select next attribute when all mutations are exhausted for the current
# attribute
if self.mutation_idx >= len(self.mutations):
self.key_idx += 1
self.mutation_idx = 0
return json.dumps(result)
def fuzz_random(self, mut_num=2):
attributes = random.sample(self.keys, mut_num)
mutations = []
for key_path in attributes:
value = resolve_keypath(self.input, key_path)
mutation = random.choice(possible_mutations(value))
mutations.append((key_path, mutation))
result = apply_mutations(self.input, mutations)
return json.dumps(result)
|
"""liantang URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.conf.urls import url, include
2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls'))
"""
from django.conf.urls import url,include
from django.contrib import admin
from django.views.generic import RedirectView
from hello.engin_menu import PcMenu
from helpers.director import login_url
from helpers.director import views as director_views
from helpers.face import urls as face_urls
urlpatterns = [
#url(r'^admin/', admin.site.urls),
url(r'^accounts/',include(login_url)),
url(r'^pc/([\w\.]+)/?$',PcMenu.as_view(),name=PcMenu.url_name),
url(r'^_ajax/(?P<app>\w+)?/?$',director_views.ajax_views,name='ajax_url'),
url(r'^_ajax/?$',director_views.ajax_views),
url(r'^_face/', include(face_urls)),
url(r'^_download/(?P<app>\w+)?/?$',director_views.donwload_views,name='download_url'),
url(r'^$',RedirectView.as_view(url='/pc/home'))
]
from django.conf import settings
from django.conf.urls.static import static
if settings.DEBUG:
urlpatterns = urlpatterns + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
|
from django.urls import path
from . import views
from home.dash_apps.finished_apps import simpleexample
from home.dash_apps.finished_apps import app
from home.dash_apps.finished_apps import app_user, tabel, table_amministrazione
urlpatterns = [
path('', views.home, name='home'),
path('welcome.html', views.home, name='home'),
#path('login.html',views.login, name='home'),
path('dashboard.html',views.dashboard, name='home'),
path('index.html', views.index, name='home'),
path('form.html', views.form, name='home'),
#path('country',views.country_form, name='home'),
path("register", views.register_request, name="home"),
path("login", views.login_request, name="login"),
path("logout", views.logout_request, name= "logout"),
#path('login.html', views.home, name='login')
path("tables.html",views.form, name="home"),
]
|
# Report on people doing triage work in a project. This was originally
# implemented so nova-core could track this in our weekly meetings.
import sys
import datetime
from launchpadlib.launchpad import Launchpad
if len(sys.argv) != 2:
print 'Usage:\n\t%s projectname' % sys.argv[0]
sys.exit(1)
projectname = sys.argv[1]
sys.stderr.write('Logging in...\n')
cachedir = '/tmp/launchpadlib-cache'
launchpad = Launchpad.login_with('openstack-lp-scripts', 'production',
cachedir, version='devel')
statuses = ['New', 'Incomplete', 'Confirmed', 'Triaged', 'In Progress',
'Fix Committed']
sys.stderr.write('Retrieving project...\n')
proj = launchpad.projects[projectname]
sys.stderr.write('Considering bugs changed in the last two weeks...\n')
now = datetime.datetime.now()
since = datetime.datetime(now.year, now.month, now.day)
since -= datetime.timedelta(days=14)
triagers = {}
bugs = proj.searchTasks(modified_since=since)
for b in bugs:
status_toucher = None
importance_toucher = None
sys.stderr.write('\n%s\n' % b.title)
sys.stderr.write('Reported by: %s\n' % b.bug.owner.display_name)
for activity in b.bug.activity:
if activity.whatchanged.startswith('%s: ' % sys.argv[1]):
justdate = datetime.datetime(activity.datechanged.year,
activity.datechanged.month,
activity.datechanged.day)
age = datetime.datetime.now() - justdate
sys.stderr.write(' %s :: %s -> %s :: %s on %04d%02d%02d '
'(%d days ago)\n'
% (activity.whatchanged,
activity.oldvalue,
activity.newvalue,
activity.person.display_name,
justdate.year, justdate.month, justdate.day,
age.days))
if justdate > since:
# We define a triage as changing the status from New, and
# changing the importance from Undecided. You must do both to
# earn a cookie.
if ((activity.whatchanged == '%s: status' % sys.argv[1]) and
(activity.oldvalue == 'New')):
status_toucher = activity.person.display_name
if ((activity.whatchanged ==
'%s: importance' % sys.argv[1]) and
(activity.oldvalue == 'Undecided')):
importance_toucher = activity.person.display_name
if (status_toucher and importance_toucher and
(status_toucher == importance_toucher)):
sys.stderr.write(' *** %s triaged this ticket **\n' % status_toucher)
triagers.setdefault(status_toucher, [])
bug_info = '%s' % b.bug.id
if status_toucher == b.bug.owner.display_name:
bug_info += '*'
triagers[status_toucher].append(bug_info)
sys.stderr.write('\n')
print 'Report (a * after the bug id indicates self triage):'
for triager in triagers:
print ' %s: %d (%s)' % (triager, len(triagers[triager]),
', '.join(triagers[triager]))
|
# Stephanie Gillow
# CS110
# I pledge my honor I have abided by the Stevens honor system.
h = input("Enter your height in inches: ")
w = input("Enter your weight in pounds: ")
bmi = (int(w)*720)/(int(h)*int(h))
if bmi > 26:
print("Your BMI is above the healthy range.")
elif bmi < 19:
print("Your BMI is below the healthy range.")
else:
print("Your BMI is within the healthy range.")
|
##################################################
# Anton Rubisov 20150109 #
# University of Toronto Sports Analytics Group #
# #
# Scraping CrossFit Open information from #
# http://games.crossfit.com/athlete/ #
##################################################
# Required headers
from urllib3 import HTTPConnectionPool # Read webpages
import itertools # To zip lists into a dictionary
import re # Regex, removing characters
import HTMLParser # Parsing HTML characters
from BeautifulSoup import BeautifulSoup # Beautiful Soup!
import pymongo # MongoDB for Python, v 2.7.2
from pprint import pprint # For printing nicely
import time # TIME WHAT IS TIME
host = 'localhost'
database = 'crossfitSoup15'
collection = 'athleteRankings'
collectionID = 'athleteId'
COMPS = {'open': 0, 'regionals': 1, 'games': 2}
REGIONS = {'Worldwide': 0, 'Africa': 1, 'Asia': 2, 'Australia': 3,
'Canada East': 4, 'Canada West': 5, 'Central East': 6, 'Europe': 7,
'Latin America': 8, 'Mid Atlantic': 9, 'North Central': 10,
'North East': 11, 'Northern California': 12, 'North West': 13,
'South Central': 14, 'South East': 15, 'Southern California': 16,
'South West': 17}
def mongo_connection():
client = pymongo.MongoClient()
db = client[database]
return db
def conv_nstr_to_n(input_str):
if input_str == '--':
return -1
return int(input_str)
def conv_tstr_to_s(input_str):
if input_str == '--':
return -1
l = input_str.split(':')
return int(l[0]) * 60 + int(l[1])
def conv_wstr_to_lbs(input_str):
if input_str == '--':
return -1
l = input_str.split(' ')
if l[1] == 'lb':
return int(l[0])
else:
return int(round(int(l[0]) * 2.20462))
def conv_height_to_in(input_str):
if input_str == '--':
return -1
h = HTMLParser.HTMLParser()
input_str = h.unescape(input_str)
l = input_str.split(' ')
if len(l) > 1:
return int(round(int(l[0]) * 0.393701))
else:
input_str = input_str.replace('"', '')
l = input_str.split('\'')
return int(l[0]) * 12 + int(l[1])
def conv_score_to_n(input_str):
if ":" in input_str:
return conv_tstr_to_s(input_str)
else:
return conv_nstr_to_n(input_str)
def conv_gender_to_n(input_str):
if input_str == 'Female':
return 2
elif input_str == 'Male':
return 1
else:
return -1
def conv_region_to_n(input_str):
if input_str in REGIONS:
return REGIONS[input_str]
else:
return 0
def main():
try:
client = pymongo.MongoClient()
db = client[database]
col = db[collection]
colID = db[collectionID]
pool = HTTPConnectionPool('games.crossfit.com', maxsize=1)
start_time = time.time()
max_id = col.find().sort("athlete_id", pymongo.DESCENDING)[0]["athlete_id"]
#print max_id
sorted_id = colID.find({"id": {"$gt": max_id}}).sort("id", pymongo.ASCENDING)
#sorted_id = colID.find().limit(10)
for i, athlete_id in enumerate(sorted_id):
#for athlete_id in [109651]:
athlete_id = athlete_id['id']
athl_url = "/athlete/{}".format(athlete_id)
athl_page = pool.request('GET', athl_url, preload_content=False)
soup = BeautifulSoup(athl_page)
athl_stat = {'athlete_id': athlete_id}
soup_name_str = soup.find('title').string
athl_name = re.search('Athlete: (.*?) \| CrossFit Games', soup_name_str)
athl_stat['athlete_name'] = athl_name.group(1).encode('utf-8')
if athl_stat['athlete_name'] == 'Not found':
continue
soup_profile_details = soup.find('div',
attrs={'class': 'profile-details'}).findAllNext('dt')
for item in soup_profile_details:
item_name = str(re.search('(.*?):', item.string).group(1))
athl_stat[item_name] = item.findNext('dd').string
if athl_stat[item_name] is None:
athl_stat[item_name] = item.findNext('a').string
athl_stat[item_name] = str(athl_stat[item_name])
soup_profile_stats = soup.find('div',
attrs={'class': 'profile-stats'}).findAllNext('td')
profile_stats_strings = [str(item.string) for item in soup_profile_stats]
profile_stats = dict(itertools.izip_longest(*[iter(profile_stats_strings)] * 2, fillvalue=""))
athl_stat.update(profile_stats)
### Begin cleanup #############################################################
for item in ['Max Pull-ups', 'Fight Gone Bad', 'Age']:
athl_stat[item] = conv_nstr_to_n(athl_stat[item])
for item in ['Filthy 50', 'Run 5k', 'Sprint 400m',
'Fran', 'Helen', 'Grace']:
athl_stat[item] = conv_tstr_to_s(athl_stat[item])
for item in ['Deadlift', 'Clean & Jerk', 'Snatch', 'Back Squat',
'Weight']:
athl_stat[item] = conv_wstr_to_lbs(athl_stat[item])
athl_stat['Height'] = conv_height_to_in(athl_stat['Height'])
athl_stat['Gender'] = conv_gender_to_n(athl_stat['Gender'])
athl_stat['Region'] = conv_region_to_n(athl_stat['Region'])
## End Cleanup ################################################################
for comp_year in ['15']:
for comp in {'open': 0}:
region = 0
if comp == 'regionals':
region = athl_stat['Region']
results_url = (
"/scores/leaderboard.php?"
"competition={}&stage=5&division={}®ion={}&"
"numberperpage=1&userid={}&year={}&showtoggles=1&"
"hidedropdowns=1").format(COMPS[comp], athl_stat['Gender'],
region, athlete_id, comp_year)
results_page = pool.request('GET', results_url, preload_content=False)
soup = BeautifulSoup(results_page)
name = soup.find('td', attrs={'class': 'name'})
if name is None:
continue
if name.a.string is None:
continue
if name.a.string.encode('utf-8') != athl_stat['athlete_name']:
continue
rank = soup.find('td', attrs={'class': 'number'})
if rank is None:
continue
result = rank.string
result = result.split(' ')
overall_rank = conv_nstr_to_n(result[0])
overall_score = result[1].replace('(','')
overall_score = overall_score.replace(')','')
overall_score = conv_nstr_to_n(overall_score)
athl_stat['20{}-{}-overall-rank'.format(comp_year, comp)] = overall_rank
athl_stat['20{}-{}-overall-score'.format(comp_year, comp)] = overall_score
for item in rank.findAllNext('td', attrs={'class': 'score-cell '}):
workout = re.findall(r'\d+',
item.findAllNext('span', limit=2)[1]['class'])
result = item.next.next.next.string
result = re.search('(.*?)\\n', result).group(1)
result = result.split(' ')
result_rank = conv_nstr_to_n(result[0])
if len(result) > 1:
result_score = str(result[1])
result_score = result_score.replace('(', '')
result_score = result_score.replace(')', '')
result_score = conv_score_to_n(result_score)
else:
result_score = -1
athl_stat['20{}-{}-workout{}-rank'.format(comp_year, comp, workout[0])] = \
result_rank
athl_stat['20{}-{}-workout{}-score'.format(comp_year, comp, workout[0])] = \
result_score
### DISPLAY ONLY
#print "Time per athlete: {}s".format(round)
#print "First URL request: {}s. First soup: {}s. Athl Deets: {}s. Cleanup: {}s All scores: {}s".format(
#round(t2-t1,4),round(t3-t2,4),round(t4-t3,4),round(t5-t4,4),round(t6-t5,4))
col.insert(athl_stat)
#pprint(athl_stat)
if i % 100 == 0:
remaining = int(colID.find({"id": {"$gt": athlete_id}}).count())
runtime = time.time() - start_time
time_remaining = remaining * runtime / (i + 1)
print ("Runtime {} seconds. Scraped {}th athlete, ID {}. "
"Est Time Remaining: {} hrs. Scrape Rate: {}s/athlete.").format(
round(runtime), i, athlete_id,
round(time_remaining / 3600, 2),
round(runtime/(i+1),2))
finally:
print "Bailed on athlete ID {}".format(athlete_id)
if __name__ == "__main__":
main()
|
# Oferece uma interface simplificada para que o cliente não se preocupe com a complexidade dos subsistemas
class Igreja:
def realiza_reserva(self):
print('reserva da igreja realizada com sucesso')
class Decoracao:
def contrata_decoracao(self):
print('Decoração contratada')
class Grafica:
def encomenda_convites(self):
print('convites encomendados')
class GerenteDeEventosFacade:
def __init__(self):
print('Olá eu sou o gerente de eventos e vou cuidar de toda organização pra você')
def organiza_casamento(self):
igreja = Igreja()
igreja.realiza_reserva()
decoração = Decoracao()
decoração.contrata_decoracao()
grafica = Grafica()
grafica.encomenda_convites()
class Noivos:
def organiza_casamento(self):
gerente_de_eventos = GerenteDeEventosFacade()
gerente_de_eventos.organiza_casamento()
noivos = Noivos()
noivos.organiza_casamento()
|
d={(x,x+1):x for x in range(10)}
print d
t=(5,6)
print d[t]
print type(t)
|
import numpy as np
list_a = np.array([25.6, 84.3, 12.7, 62.8])
list_b = np.array([5.21, 34.3, 98.2, 46.4])
print list_a * list_b
print list_a * 2
|
#!/usr/bin/env python
# coding: utf-8
# Copyright (c) Qotto, 2019
""" KafkaConsumer class
This class consume event / command / result in Kafka topics.
Todo:
* In function listen_store_records, add commit store (later V2)
"""
import asyncio
import json
from logging import Logger, getLogger
from typing import List, Dict, Any, Union
from aiokafka import (AIOKafkaConsumer)
from aiokafka.errors import (IllegalStateError, UnsupportedVersionError, CommitFailedError,
KafkaError, KafkaTimeoutError)
from kafka.errors import KafkaConnectionError
from tonga.models.handlers.command.command_handler import BaseCommandHandler
from tonga.models.handlers.event.event_handler import BaseEventHandler
from tonga.models.handlers.result.result_handler import BaseResultHandler
from tonga.models.records.base import BaseRecord
from tonga.models.store.base import BaseStoreRecordHandler
from tonga.models.store.store_record import StoreRecord
from tonga.services.consumer.base import BaseConsumer
from tonga.services.consumer.errors import (ConsumerConnectionError, AioKafkaConsumerBadParams,
KafkaConsumerError, ConsumerKafkaTimeoutError,
IllegalOperation, TopicPartitionError,
NoPartitionAssigned, OffsetError, UnknownStoreRecordHandler,
UnknownHandler, UnknownHandlerReturn,
HandlerException, KafkaConsumerAlreadyStartedError,
KafkaConsumerNotStartedError)
from tonga.services.coordinator.assignors.statefulset_assignors import StatefulsetPartitionAssignor
from tonga.services.coordinator.client.kafka_client import KafkaClient
from tonga.services.coordinator.transaction.kafka_transaction import (KafkaTransactionalManager,
KafkaTransactionContext)
from tonga.services.errors import BadSerializer
from tonga.services.serializer.base import BaseSerializer
from tonga.services.serializer.kafka_key import KafkaKeySerializer
from tonga.stores.manager.base import BaseStoreManager
from tonga.stores.manager.errors import UninitializedStore
from tonga.models.structs.positioning import (BasePositioning, KafkaPositioning)
__all__ = [
'KafkaConsumer',
]
class KafkaConsumer(BaseConsumer):
"""KafkaConsumer is a client that publishes records to the Kafka cluster.
"""
_client: KafkaClient
serializer: BaseSerializer
_bootstrap_servers: Union[str, List[str]]
_client_id: str
_topics: List[str]
_group_id: str
_auto_offset_reset: str
_max_retries: int
_retry_interval: int
_retry_backoff_coeff: int
_isolation_level: str
_assignors_data: Dict[str, Any]
_store_manager: BaseStoreManager
_running: bool
_kafka_consumer: AIOKafkaConsumer
_transactional_manager: KafkaTransactionalManager
__current_offsets: Dict[str, BasePositioning]
__last_offsets: Dict[str, BasePositioning]
__last_committed_offsets: Dict[str, BasePositioning]
_loop: asyncio.AbstractEventLoop
logger: Logger
def __init__(self, client: KafkaClient, serializer: BaseSerializer, topics: List[str],
loop: asyncio.AbstractEventLoop, client_id: str = None, group_id: str = None,
auto_offset_reset: str = 'earliest', max_retries: int = 10, retry_interval: int = 1000,
retry_backoff_coeff: int = 2, assignors_data: Dict[str, Any] = None,
store_manager: BaseStoreManager = None, isolation_level: str = 'read_uncommitted',
transactional_manager: KafkaTransactionalManager = None) -> None:
"""
KafkaConsumer constructor
Args:
client (KafkaClient): Initialization class (contains, client_id / bootstraps_server)
serializer (BaseSerializer): Serializer encode & decode event
topics (List[str]): List of topics to subscribe to
loop (asyncio.AbstractEventLoop): Asyncio loop
client_id (str): Client name (if is none, KafkaConsumer use KafkaClient client_id)
group_id (str): name of the consumer group, and to use for fetching and committing offsets.
If None, offset commits are disabled
auto_offset_reset (str): A policy for resetting offsets on OffsetOutOfRange errors: ‘earliest’ will move to
the oldest available message, ‘latest’ will move to the most recent.
Any other value will raise the exception
max_retries (int): Number of retries before critical failure
retry_interval (int): Interval before next retries
retry_backoff_coeff (int): Backoff coeff for next retries
assignors_data (Dict[str, Any]): Dict with assignors information, more details in
StatefulsetPartitionAssignor
store_manager (BaseStoreManager): If this store_manager is set, consumer call initialize_store_manager()
otherwise listen_event was started
isolation_level (str): Controls how to read messages written transactionally. If set to read_committed,
will only return transactional messages which have been committed.
If set to read_uncommitted, will return all messages, even transactional messages
which have been aborted. Non-transactional messages will be returned unconditionally
in either mode.
Returns:
None
"""
super().__init__()
self.logger = getLogger('tonga')
# Register KafkaClient
self._client = client
# Set default assignors_data if is None
if assignors_data is None:
assignors_data = {}
# Create client_id
if client_id is None:
self._client_id = self._client.client_id + '-' + str(self._client.cur_instance)
else:
self._client_id = client_id
if isinstance(serializer, BaseSerializer):
self.serializer = serializer
else:
raise BadSerializer
self._bootstrap_servers = self._client.bootstrap_servers
self._topics = topics
self._group_id = group_id
self._auto_offset_reset = auto_offset_reset
self._max_retries = max_retries
self._retry_interval = retry_interval
self._retry_backoff_coeff = retry_backoff_coeff
self._isolation_level = isolation_level
self._assignors_data = assignors_data
self._store_manager = store_manager
self._running = False
self._loop = loop
self.__current_offsets = dict()
self.__last_offsets = dict()
self.__last_committed_offsets = dict()
self._transactional_manager = transactional_manager
try:
self.logger.info(json.dumps(assignors_data))
statefulset_assignor = StatefulsetPartitionAssignor(bytes(json.dumps(assignors_data), 'utf-8'))
self._kafka_consumer = AIOKafkaConsumer(*self._topics, loop=self._loop,
bootstrap_servers=self._bootstrap_servers,
client_id=self._client_id, group_id=group_id,
value_deserializer=self.serializer.decode,
auto_offset_reset=self._auto_offset_reset,
isolation_level=self._isolation_level, enable_auto_commit=False,
key_deserializer=KafkaKeySerializer.decode,
partition_assignment_strategy=[statefulset_assignor])
except KafkaError as err:
self.logger.exception('%s', err.__str__())
raise err
except ValueError as err:
self.logger.exception('%s', err.__str__())
raise AioKafkaConsumerBadParams
self.logger.debug('Create new consumer %s, group_id %s', self._client_id, group_id)
async def start_consumer(self) -> None:
"""
Start consumer
Returns:
None
Raises:
AttributeError: KafkaConsumerError
ValueError: If KafkaError or KafkaTimoutError is raised, exception value is contain
in KafkaConsumerError.msg
"""
if self._running:
raise KafkaConsumerAlreadyStartedError
for retry in range(2):
try:
await self._kafka_consumer.start()
self._running = True
self.logger.debug('Start consumer : %s, group_id : %s, retry : %s', self._client_id, self._group_id,
retry)
except KafkaTimeoutError as err:
self.logger.exception('%s', err.__str__())
await asyncio.sleep(1)
except KafkaConnectionError as err:
self.logger.exception('%s', err.__str__())
await asyncio.sleep(1)
except KafkaError as err:
self.logger.exception('%s', err.__str__())
raise err
else:
break
else:
raise ConsumerConnectionError
async def stop_consumer(self) -> None:
"""
Stop consumer
Returns:
None
Raises:
AttributeError: KafkaConsumerError
ValueError: If KafkaError is raised, exception value is contain
in KafkaConsumerError.msg
"""
if not self._running:
raise KafkaConsumerNotStartedError
try:
await self._kafka_consumer.stop()
self._running = False
self.logger.debug('Stop consumer : %s, group_id : %s', self._client_id, self._group_id)
except KafkaTimeoutError as err:
self.logger.exception('%s', err.__str__())
raise ConsumerKafkaTimeoutError
except KafkaError as err:
self.logger.exception('%s', err.__str__())
raise err
def is_running(self) -> bool:
return self._running
async def get_last_committed_offsets(self) -> Dict[str, BasePositioning]:
"""
Get last committed offsets
Returns:
Dict[str, KafkaPositioning]: Contains all assigned partitions with last committed offsets
"""
last_committed_offsets: Dict[str, BasePositioning] = dict()
self.logger.debug('Get last committed offsets')
if self._group_id is None:
raise IllegalOperation
for tp in self._kafka_consumer.assignment():
offset = await self._kafka_consumer.committed(tp)
last_committed_offsets[KafkaPositioning.make_class_assignment_key(tp.topic, tp.partition)] = \
KafkaPositioning(tp.topic, tp.partition, offset)
return last_committed_offsets
async def get_current_offsets(self) -> Dict[str, BasePositioning]:
"""
Get current offsets
Returns:
Dict[str, KafkaPositioning]: Contains all assigned partitions with current offsets
"""
current_offsets: Dict[str, BasePositioning] = dict()
self.logger.debug('Get current offsets')
for tp in self._kafka_consumer.assignment():
try:
offset = await self._kafka_consumer.position(tp)
current_offsets[KafkaPositioning.make_class_assignment_key(tp.topic, tp.partition)] = \
KafkaPositioning(tp.topic, tp.partition, offset)
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise err
return current_offsets
async def get_beginning_offsets(self) -> Dict[str, BasePositioning]:
"""
Get beginning offsets
Returns:
Dict[str, KafkaPositioning]: Contains all assigned partitions with beginning offsets
"""
beginning_offsets: Dict[str, BasePositioning] = dict()
self.logger.debug('Get beginning offsets')
for tp in self._kafka_consumer.assignment():
try:
offset = (await self._kafka_consumer.beginning_offsets([tp]))[tp]
beginning_offsets[KafkaPositioning.make_class_assignment_key(tp.topic, tp.partition)] = \
KafkaPositioning(tp.topic, tp.partition, offset)
except KafkaTimeoutError as err:
self.logger.exception('%s', err.__str__())
raise ConsumerKafkaTimeoutError
except UnsupportedVersionError as err:
self.logger.exception('%s', err.__str__())
raise err
return beginning_offsets
async def get_last_offsets(self) -> Dict[str, BasePositioning]:
"""
Get last offsets
Returns:
Dict[str, KafkaPositioning]: Contains all assigned partitions with last offsets
"""
last_offsets: Dict[str, BasePositioning] = dict()
self.logger.debug('Get last offsets')
for tp in self._kafka_consumer.assignment():
try:
offset = (await self._kafka_consumer.end_offsets([tp]))[tp]
last_offsets[KafkaPositioning.make_class_assignment_key(tp.topic, tp.partition)] = \
KafkaPositioning(tp.topic, tp.partition, offset)
except KafkaTimeoutError as err:
self.logger.exception('%s', err.__str__())
raise ConsumerKafkaTimeoutError
except UnsupportedVersionError as err:
self.logger.exception('%s', err.__str__())
raise err
return last_offsets
async def load_offsets(self, mod: str = 'earliest') -> None:
"""
This method was call before consume topics, assign position to consumer
Args:
mod: Start position of consumer (earliest, latest, committed)
Returns:
None
"""
self.logger.debug('Load offset mod : %s', mod)
if not self._running:
await self.start_consumer()
if mod == 'latest':
await self.seek_to_end()
elif mod == 'earliest':
await self.seek_to_beginning()
elif mod == 'committed':
await self.seek_to_last_commit()
else:
raise KafkaConsumerError
self.__current_offsets = await self.get_current_offsets()
self.__last_offsets = await self.get_last_offsets()
if self._group_id is not None:
self.__last_committed_offsets = await self.get_last_committed_offsets()
for key, kafka_positioning in self.__last_committed_offsets.items():
if kafka_positioning.get_current_offset() is None:
self.logger.debug('Seek to beginning, no committed offsets was found')
await self.seek_to_beginning(kafka_positioning)
async def debug_print_all_msg(self):
"""
Debug method, useful for display all msg was contained in assigned topic/partitions
Returns:
None
"""
while True:
message = await self._kafka_consumer.getone()
self.logger.info('----------------------------------------------------------------------------------------')
self.logger.info('Topic %s, Partition %s, Offset %s, Key %s, Value %s, Headers %s',
message.topic, message.partition, message.offset, message.key, message.value,
message.headers)
self.logger.info('----------------------------------------------------------------------------------------')
async def listen_records(self, mod: str = 'earliest') -> None:
"""
Listens records from assigned topic / partitions
Args:
mod: Start position of consumer (earliest, latest, committed)
Returns:
None
"""
if not self._running:
await self.load_offsets(mod)
self.pprint_consumer_offsets()
async for msg in self._kafka_consumer:
# Debug Display
self.logger.debug("---------------------------------------------------------------------------------")
self.logger.debug('New Message on consumer %s, Topic %s, Partition %s, Offset %s, '
'Key %s, Value %s, Headers %s', self._client_id, msg.topic, msg.partition,
msg.offset, msg.key, msg.value, msg.headers)
self.pprint_consumer_offsets()
self.logger.debug("---------------------------------------------------------------------------------")
key = KafkaPositioning.make_class_assignment_key(msg.topic, msg.partition)
self.__current_offsets[key].set_current_offset(msg.offset)
if self._transactional_manager is not None:
self._transactional_manager.set_ctx(KafkaTransactionContext(msg.topic, msg.partition,
msg.offset, self._group_id))
# self.last_offsets = await self.get_last_offsets()
sleep_duration_in_ms = self._retry_interval
for retries in range(0, self._max_retries):
try:
record_class = msg.value['record_class']
handler_class = msg.value['handler_class']
if handler_class is None:
self.logger.debug('Empty handler')
break
self.logger.debug('Event name : %s Event content :\n%s',
record_class.event_name(), record_class.__dict__)
# Calls handle if event is instance BaseHandler
if isinstance(handler_class, BaseEventHandler):
transactional = await handler_class.handle(event=record_class)
elif isinstance(handler_class, BaseCommandHandler):
transactional = await handler_class.execute(event=record_class)
elif isinstance(handler_class, BaseResultHandler):
transactional = await handler_class.on_result(event=record_class)
else:
# Otherwise raise KafkaConsumerUnknownHandler
raise UnknownHandler
# If result is none (no transactional process), check if consumer has an
# group_id (mandatory to commit in Kafka)
if transactional is None and self._group_id is not None:
# Check if next commit was possible (Kafka offset)
if self.__last_committed_offsets[key] is None or \
self.__last_committed_offsets[key].get_current_offset() <= \
self.__current_offsets[key].get_current_offset():
self.logger.debug('Commit msg %s in topic %s partition %s offset %s',
record_class.event_name(), msg.topic, msg.partition,
self.__current_offsets[key].get_current_offset() + 1)
tp = self.__current_offsets[key].to_topics_partition()
await self._kafka_consumer.commit(
{tp: self.__current_offsets[key].get_current_offset() + 1})
self.__last_committed_offsets[key].set_current_offset(msg.offset + 1)
# Transactional process no commit
elif transactional:
self.logger.debug('Transaction end')
self.__current_offsets = await self.get_current_offsets()
self.__last_committed_offsets = await self.get_last_committed_offsets()
# Otherwise raise KafkaConsumerUnknownHandlerReturn
elif transactional is None and self._group_id is None:
pass
else:
raise UnknownHandlerReturn
# Break if everything was successfully processed
break
except UninitializedStore as err:
self.logger.exception('%s', err.__str__())
retries = 0
await asyncio.sleep(10)
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
except ValueError as err:
self.logger.exception('%s', err.__str__())
raise OffsetError
except CommitFailedError as err:
self.logger.exception('%s', err.__str__())
raise err
except (KafkaError, HandlerException) as err:
self.logger.exception('%s', err.__str__())
sleep_duration_in_s = int(sleep_duration_in_ms / 1000)
await asyncio.sleep(sleep_duration_in_s)
sleep_duration_in_ms = sleep_duration_in_ms * self._retry_backoff_coeff
if retries not in range(0, self._max_retries):
await self.stop_consumer()
self.logger.error('Max retries, close consumer and exit')
exit(1)
async def _refresh_offsets(self) -> None:
"""
This method refresh __current_offsets / __last_offsets / __last_committed_offsets
Returns:
None
"""
self.logger.debug('Call refresh offsets')
self.__current_offsets = await self.get_current_offsets()
self.__last_offsets = await self.get_last_offsets()
if self._group_id is not None:
self.__last_committed_offsets = await self.get_last_committed_offsets()
else:
raise IllegalOperation
async def check_if_store_is_ready(self) -> None:
""" If store is ready consumer set store initialize flag to true
Returns:
None
"""
# Check if local store is initialize
self.logger.info('Started check_if_store_is_ready')
if not self._store_manager.get_local_store().get_persistency().is_initialize():
key = KafkaPositioning.make_class_assignment_key(self._store_manager.get_topic_store(),
self._client.cur_instance)
if self.__last_offsets[key].get_current_offset() == 0:
self._store_manager.__getattribute__('_initialize_local_store').__call__()
self.logger.info('Local store was initialized')
elif self.__current_offsets[key].get_current_offset() == self.__last_offsets[key].get_current_offset():
self._store_manager.__getattribute__('_initialize_local_store').__call__()
self.logger.info('Local store was initialized')
# Check if global store is initialize
if not self._store_manager.get_global_store().get_persistency().is_initialize():
for key, positioning in self.__last_offsets.items():
if self._client.cur_instance != positioning.get_partition():
if positioning.get_current_offset() == 0:
continue
elif positioning.get_current_offset() == self.__current_offsets[key].get_current_offset():
continue
else:
break
else:
self._store_manager.__getattribute__('_initialize_global_store').__call__()
self.logger.info('Global store was initialized')
async def listen_store_records(self, rebuild: bool = False) -> None:
"""
Listens events for store construction
Args:
rebuild (bool): if true consumer seek to fist offset for rebuild own state
Returns:
None
"""
if self._store_manager is None:
raise KeyError
self.logger.info('Start listen store records')
await self.start_consumer()
await self._store_manager.__getattribute__('_initialize_stores').__call__()
if not self._running:
raise KafkaConsumerError('Fail to start tongaConsumer', 500)
# Check if store is ready
await self._refresh_offsets()
await self.check_if_store_is_ready()
self.pprint_consumer_offsets()
async for msg in self._kafka_consumer:
positioning_key = KafkaPositioning.make_class_assignment_key(msg.topic, msg.partition)
self.__current_offsets[positioning_key].set_current_offset(msg.offset)
# Debug Display
self.logger.debug("---------------------------------------------------------------------------------")
self.logger.debug('New Message on consumer %s, Topic %s, Partition %s, Offset %s, '
'Key %s, Value %s, Headers %s', self._client_id, msg.topic, msg.partition,
msg.offset, msg.key, msg.value, msg.headers)
self.pprint_consumer_offsets()
self.logger.debug("---------------------------------------------------------------------------------")
# Check if store is ready
await self.check_if_store_is_ready()
sleep_duration_in_ms = self._retry_interval
for retries in range(0, self._max_retries):
try:
record_class: BaseRecord = msg.value['record_class']
handler_class: BaseStoreRecordHandler = msg.value['handler_class']
self.logger.debug('Store event name : %s\nEvent content :\n%s\n',
record_class.event_name(), record_class.__dict__)
positioning = self.__current_offsets[positioning_key]
if self._client.cur_instance == msg.partition:
# Calls local_state_handler if event is instance BaseStorageBuilder
if rebuild and not self._store_manager.get_local_store().get_persistency().is_initialize():
if isinstance(record_class, StoreRecord):
self.logger.debug('Call local_store_handler')
await handler_class.local_store_handler(store_record=record_class,
positioning=positioning)
else:
raise UnknownStoreRecordHandler
elif self._client.cur_instance != msg.partition:
if isinstance(record_class, StoreRecord):
self.logger.debug('Call global_store_handler')
await handler_class.global_store_handler(store_record=record_class, positioning=positioning)
else:
raise UnknownStoreRecordHandler
# Check if store is ready
await self.check_if_store_is_ready()
# Break if everything was successfully processed
break
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
except ValueError as err:
self.logger.exception('%s', err.__str__())
raise OffsetError
except CommitFailedError as err:
self.logger.exception('%s', err.__str__())
raise err
except (KafkaError, HandlerException) as err:
self.logger.exception('%s', err.__str__())
sleep_duration_in_s = int(sleep_duration_in_ms / 1000)
await asyncio.sleep(sleep_duration_in_s)
sleep_duration_in_ms = sleep_duration_in_ms * self._retry_backoff_coeff
if retries not in range(0, self._max_retries):
await self.stop_consumer()
self.logger.error('Max retries, close consumer and exit')
exit(1)
def is_lag(self) -> bool:
"""
Consumer has lag ?
Returns:
bool: True if consumer is lagging otherwise return false and consumer is up to date
"""
if self.__last_offsets == self.__current_offsets:
return False
return True
async def seek_to_beginning(self, positioning: BasePositioning = None) -> None:
"""
Seek to fist offset, mod 'earliest'.
If positioning is None consumer will seek all assigned partition to beginning
Args:
positioning (BasePositioning): Positioning class contain (topic name / partition number)
Returns:
None
"""
if not self._running:
await self.start_consumer()
if positioning is not None:
try:
await self._kafka_consumer.seek_to_beginning(positioning.to_topics_partition())
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
except TypeError as err:
self.logger.exception('%s', err.__str__())
raise TopicPartitionError
self.logger.debug('Seek to beginning for topic : %s, partition : %s', positioning.get_partition(),
positioning.get_partition())
else:
try:
await self._kafka_consumer.seek_to_beginning()
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
self.logger.debug('Seek to beginning for all topics & partitions')
async def seek_to_end(self, positioning: BasePositioning = None) -> None:
"""
Seek to latest offset, mod 'latest'.
If positioning is None consumer will seek all assigned partition to end
Args:
positioning (BasePositioning): Positioning class contain (topic name / partition number)
Returns:
None
"""
if not self._running:
await self.start_consumer()
if positioning is not None:
try:
await self._kafka_consumer.seek_to_end(positioning.to_topics_partition())
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
except TypeError as err:
self.logger.exception('%s', err.__str__())
raise TopicPartitionError
self.logger.debug('Seek to end for topic : %s, partition : %s', positioning.get_topics(),
positioning.get_partition())
else:
try:
await self._kafka_consumer.seek_to_end()
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
self.logger.debug('Seek to end for all topics & partitions')
async def seek_to_last_commit(self, positioning: BasePositioning = None) -> None:
"""
Seek to last committed offsets, mod 'committed'
If positioning is None consumer will seek all assigned partition to last committed offset
Args:
positioning (BasePositioning): Positioning class contain (topic name / partition number / offset number)
Returns:
None
"""
if self._group_id is None:
raise IllegalOperation
if not self._running:
await self.start_consumer()
if positioning:
try:
await self._kafka_consumer.seek_to_committed(positioning.to_topics_partition())
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
except TypeError as err:
self.logger.exception('%s', err.__str__())
raise TopicPartitionError
self.logger.debug('Seek to last committed for topic : %s, partition : %s', positioning.get_topics(),
positioning.get_partition())
else:
try:
await self._kafka_consumer.seek_to_committed()
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
self.logger.debug('Seek to last committed for all topics & partitions')
async def seek_custom(self, positioning: BasePositioning) -> None:
"""
Seek to custom offsets
Args:
positioning (BasePositioning): Positioning class contain (topic name / partition number / offset number)
Returns:
None
"""
if not self._running:
await self.start_consumer()
if positioning is not None:
try:
await self._kafka_consumer.seek(positioning.to_topics_partition(), positioning.get_current_offset())
except ValueError as err:
self.logger.exception('%s', err.__str__())
raise OffsetError
except TypeError as err:
self.logger.exception('%s', err.__str__())
raise TopicPartitionError
except IllegalStateError as err:
self.logger.exception('%s', err.__str__())
raise NoPartitionAssigned
self.logger.debug('Custom seek for topic : %s, partition : %s, offset : %s',
positioning.get_topics(), positioning.get_partition(), positioning.get_current_offset())
else:
raise KafkaConsumerError
async def _make_manual_commit(self, to_commit: List[BasePositioning]):
commits = {}
for positioning in to_commit:
commits[positioning.to_topics_partition()] = positioning.get_current_offset()
await self._kafka_consumer.commit(commits)
async def subscriptions(self) -> frozenset:
"""
Get list of subscribed topic
Returns:
frozenset: List of subscribed topic
"""
if not self._running:
await self.start_consumer()
return self._kafka_consumer.subscription()
def pprint_consumer_offsets(self) -> None:
"""
Debug tool, print all consumer position
Returns:
None
"""
self.logger.debug('Client ID = %s', self._client_id)
self.logger.debug('Current Offset = %s', [positioning.pprint() for key, positioning in
self.__current_offsets.items()])
self.logger.debug('Last Offset = %s', [positioning.pprint() for key, positioning in
self.__last_offsets.items()])
self.logger.debug('Last committed offset = %s', [positioning.pprint() for key, positioning in
self.__last_committed_offsets.items()])
def get_consumer(self) -> AIOKafkaConsumer:
"""
Get aiokafka consumer
Returns:
AIOKafkaConsumer: Current instance of AIOKafkaConsumer
"""
return self._kafka_consumer
def get_offset_bundle(self) -> Dict[str, Dict[str, BasePositioning]]:
"""
Return a bundle with each assigned assigned topic/partition with current, latest, last committed
topic/partition as dict
Returns:
Dict[str, Dict[TopicPartition, int]]: Contains current_offset / last_offset / last_committed_offset
"""
return {
'current_offset': self.__current_offsets.copy(),
'last_offset': self.__last_offsets.copy(),
'last_committed_offset': self.__last_committed_offsets.copy()
}
def get_current_offset(self) -> Dict[str, BasePositioning]:
"""
Return current offset of each assigned topic/partition
Returns:
Dict[str, BasePositioning]: Dict contains current offset of each assigned partition
"""
return self.__current_offsets.copy()
def get_last_offset(self) -> Dict[str, BasePositioning]:
"""
Return last offset of each assigned topic/partition
Returns:
Dict[str, BasePositioning]: Dict contains latest offset of each assigned partition
"""
return self.__last_offsets.copy()
def get_last_committed_offset(self) -> Dict[str, BasePositioning]:
"""
Return last committed offset of each assigned topic/partition
Returns:
Dict[str, BasePositioning]: Dict contains last committed offset of each assigned partition
"""
return self.__last_committed_offsets.copy()
|
import gym
import numpy as np
from draw import *
from Agent import Agent
from new_env import *
class Main():
def __init__(self):
self.layer_number = 3
self.env = Env_graph(200, 5, 233)
self.limit = 200
self.agent = Agent(10,1,range(5),delete_by_env_model = True)
self.eps = 1.0
self.eps_limit = 0.05
self.delta = 0.99995
self.ma,self.mi = self.env.get_info()
self.success_cnt = 0
self.f = 1
self.reward_x = []
self.reward_y = []
self.average_d_v = []
self.mean_y = [[] for i in range(self.layer_number)]
self.var_y = [[] for i in range(self.layer_number)]
self.env.set(self.f)
self.main()
def test(self, agent, id):
x = []
sum = 0
cnt = [0 for i in range(5)]
state = self.env.reset()
for t in range(self.limit):
action = agent.choose_action_e_greedy(state, 0)
cnt[action] += 1
next_state, reward, done, info = self.env.step(action)
sum += reward
x.append(info)
self.agent.store(state, action, reward, next_state, done, 0, False)
state = next_state
if done or t == self.limit - 1:
print(id, "Episode finished after {} timesteps".format(t+1),self.eps, sum, cnt,
self.agent.average_d_m, self.agent.last_average_d_v, self.agent.last_bad_rate)
print(x)
self.agent.reset_and_update(False)
temp = self.ma
if self.f == -1:
temp = self.mi
if sum > temp * self.limit * 0.9:
self.success_cnt += 1
print(self.success_cnt)
if self.success_cnt >= 5:
print('success!')
break
break
self.reward_x.append(id)
self.reward_y.append(sum)
self.average_d_v.append(self.agent.last_average_d_v)
m,v = self.agent.calc_C_mean_and_variance()
for i in range(self.layer_number):
self.mean_y[i].append(m[i])
self.var_y[i].append(v[i])
def main(self):
print('Min and Max',self.mi, self.ma)
self.agent.reset_and_update(False)
for i_episode in range(20000):
if i_episode == 100:
self.env.set(-1)
eps = 1.0 # 这里完全写错了，先不管了，在以后让环境变化前eps很小，
#希望找到机制能自动地调整eps或用intrinsic reward探索，现在只考虑怎么用env模型排除掉不好的数据
print('change!')
print('M & V',self.agent.calc_C_mean_and_variance())
x = []
sum = 0
cnt = [0 for i in range(5)]
state = self.env.reset()
for t in range(self.limit):
action = self.agent.choose_action_e_greedy(state, self.eps)
self.eps *= self.delta
self.eps = max(self.eps_limit, self.eps)
cnt[action] += 1
next_state, reward, done, info = self.env.step(action)
self.agent.store(state, action, reward, next_state, done, i_episode)
sum += reward
x.append(info)
state = next_state
self.agent.learn(i_episode)
if done or t == self.limit - 1:
self.agent.learn_P_network(i_episode, t + 1)
self.agent.reset_and_update(True)
break
'''print(i_episode, "Episode finished after {} timesteps".format(t+1), eps, sum, cnt)
print(x)
if sum > ma * limit * 0.9:
success_cnt += 1
if success_cnt == 5:
print('success!')
break
break'''
self.test(self.agent, i_episode)
if i_episode % 50 == 0 and i_episode >= 100:
self.draw()
def draw(self):
Draw(self.reward_x,[self.reward_y],'episode',['reward'],'reward in 100 points with degree 5','reward in 100 points with degree 5')
Draw(self.reward_x,[self.average_d_v],'episode',['average var of difference of reward and predict_reward'],'var of d in 100 points with degree 5','var of d in 100 points with degree 5')
Draw(self.reward_x,[self.mean_y[i] for i in range(self.layer_number)],'episode',
'mean',['h'+str(i) for i in range(self.layer_number)],'mean in 100 points with degree 5')
Draw(self.reward_x,[self.var_y[i] for i in range(self.layer_number)],'episode',
'variance',['h'+str(i) for i in range(self.layer_number)], 'variance in 100 points with degree 5')
Main()
|
import checkPosition
def board(positionNow) :
board = [
[" ","E","B","I","2","I","B","E","B","E"," "," "," "," "," "," "],
[" ","I"," "," ","B"," "," "," "," ","W","B"," ","E","B","I",' '],
[" ","M"," "," ","I","E","B","W"," "," ","E","B","I"," ","D",' '],
[" ","E","B"," "," "," "," ","I","E","E"," "," "," "," ","B",' '],
[" "," ","E"," ","4","I"," "," "," ","I"," "," "," ","I","E",' '],
["W","I","B","E","B","B"," "," "," ","E"," "," "," ","E"," ",' '],
["E"," "," "," "," ","I","E","F","B","I"," "," "," ","I"," ",' '],
["E","1","B"," "," "," "," "," "," "," "," "," ","E","B"," ",' '],
[" "," ","E","B","I","E","W"," "," "," "," "," ","B"," "," ",' '],
[" "," "," "," "," "," ","B"," "," "," "," "," ","I"," "," ",' '],
["I","I","B","E","B","E","I"," "," "," "," "," ","3","B","I",'B'],
["E"," "," "," "," "," "," "," "," "," "," "," "," "," "," ",'W'],
["B"," "," "," "," "," "," "," "," "," "," "," "," "," "," ",'E'],
["I","E","S","I","E","I","E","B","I","B","E","4","E","B","P",'I']
]
print(' A B C D E F G H I J K L M N O P')
number = 0
for i in board:
number = number + 1
if number < 10 :
print(str(number) + ' ', end='')
else :
print(str(number) + ' ', end='')
for cell in i:
print(cell,end = " ")
print()
position = [
[board[13][0]], [board[13][1]], [board[13][2]], [board[13][3]], [board[13][4]],
[board[13][5]], [board[13][6]], [board[13][7]], [board[13][8]], [board[13][9]],
[board[13][10]], [board[13][11]], [board[13][12]], [board[13][13]], [board[13][14]],
[board[13][15]], [board[12][15]], [board[11][15]], [board[10][15]], [board[10][14]],
[board[10][13]], [board[10][12]], [board[9][12]], [board[8][12]], [board[7][12]],
[board[7][13]], [board[6][13]], [board[5][13]], [board[4][13]], [board[4][14]],
[board[3][14]], [board[2][14]], [board[1][14]], [board[1][13]], [board[1][12]],
[board[2][12]], [board[2][11]], [board[2][10]], [board[1][10]], [board[1][9]],
[board[0][9]], [board[0][8]], [board[0][7]], [board[0][6]], [board[0][5]],
[board[0][4]], [board[0][3]], [board[0][2]], [board[0][1]], [board[1][1]],
[board[2][1]], [board[3][1]], [board[3][2]], [board[4][2]], [board[5][2]],
[board[5][1]], [board[5][0]], [board[6][0]], [board[7][0]], [board[7][1]],
[board[7][2]], [board[8][2]], [board[8][3]], [board[8][4]], [board[8][5]],
[board[8][6]], [board[9][6]], [board[10][6]], [board[10][5]], [board[10][4]],
[board[10][3]], [board[10][2]], [board[10][1]], [board[10][0]], [board[11][0]],
[board[12][0]], [board[5][3]], [board[5][4]], [board[4][4]], [board[4][5]],
[board[5][5]], [board[6][5]], [board[6][6]], [board[6][7]], [board[6][8]],
[board[6][9]], [board[5][9]], [board[4][9]], [board[3][9]], [board[3][8]],
[board[3][7]], [board[2][7]], [board[2][6]], [board[2][5]], [board[2][4]],
[board[1][4]],
]
playerPosition = positionNow
checkPosition.checkPosition(playerPosition, position[playerPosition])
return playerPosition, position[playerPosition]
|
from flask import Flask, render_template, request , redirect , url_for
from db import dbconnection
from conversion import get_dict_resultset
import pandas as pd
conn = dbconnection()
cur = conn.cursor()
app = Flask(__name__)
@app.route('/contacts', methods=['GET','POST'])
@app.route('/contacts/<method>/<contact_id>', methods=['GET'])
def contacts(contact_id=None,method=None):
contact_id = contact_id or ''
method = method or ''
if (contact_id == ''):
if (request.method == 'GET'):
sql = "select * from contacts";
contacts = get_dict_resultset(sql)
return render_template('contacts.html',contacts=contacts)
elif (request.method == 'POST'):
firstname = request.form['firstname']
lastname = request.form['lastname']
phone_no = request.form['phone_no']
cur.execute("insert into contacts (firstname,lastname,phone_no) values(%s,%s,%s)",(firstname,lastname,phone_no));
conn.commit()
return redirect(url_for('contacts'))
else:
return redirect(url_for('contacts'))
else:
if (method == 'edit'):
sql = "select * from contacts";
contacts = get_dict_resultset(sql)
for i in contacts:
if int(contact_id) == int(i['contact_id']):
contact = i
return render_template('contacts.html',contacts=contacts,contact=contact)
elif (method == 'delete'):
cur.execute("DELETE FROM contacts WHERE contact_id = " + contact_id);
conn.commit();
return redirect(url_for('contacts'))
else:
return redirect(url_for('contacts'))
return redirect(url_for('contacts'))
@app.route('/contacts/update', methods=['POST'])
def update_contacts():
firstname = request.form['updatefirstname']
lastname = request.form['updatelastname']
phone_no = request.form['updatephone_no']
contact_id = request.form['contact_id']
cur.execute("update contacts SET firstname = %s , lastname = %s , phone_no = %s WHERE contact_id = %s" , (firstname,lastname,phone_no,contact_id));
conn.commit();
return redirect(url_for('contacts'))
@app.route('/contacts/export', methods=['GET','POST'])
def export_data():
sql = "select firstname,lastname,phone_no from contacts";
contacts = get_dict_resultset(sql)
df = pd.DataFrame(contacts)
df.to_excel (r'exportdbdata.xlsx', index = False, header=True)
return redirect(url_for('contacts'))
@app.route('/contacts/import', methods=['GET','POST'])
def import_data():
filedata = request.form['importexcel']
re = pd.read_excel(str(filedata), sheet_name='Sheet1')
final_res = re.to_dict('records')
for row in final_res:
cur.execute("insert into contacts (lastname,phone_no,firstname) values(%s,%s,%s)",(str(row['lastname']),str(row['phone_no']),str(row['firstname'])));
conn.commit()
return redirect(url_for('contacts'))
if __name__ == '__main__':
app.run()
|
import requests
from bs4 import BeautifulSoup
#
# r = requests.get("http://www.baidu.com")
# r.status_code
# print(r)
#
# r.encoding='utf-8'
# print(r.text) #显示网页内容
# def getHTMLText(url):
# try:
# r = requests.get(url)
# r.raise_for_status() # 如果状态值不等于200，引发HTTPError异常
# r.encoding = r.apparent_encoding
# return r.text
# except:
# return "产生异常"
#
#
# if __name__ == "__main__":
# url = "http://www.baidu.com"
# print(getHTMLText(url))
# payload = {'key1': 'value1', 'key2': 'value2'}
# r = requests.post('http://httpbin.org/post', data=payload)
# print(r.text) # 向URL POST一个字典，自动编码为form（表单）
# r = requests.post('http://httpbin.org/post', data='ABC')
# print(r.text) # 向URL POST一个字符串，自动编码为data
# kv = {'key1': 'value1', 'key2': 'value2'}
# r = requests.request('GET', "http://python123.io/ws", params=kv)
# print(r.url)
# hd = {'user-agent': 'chrome/10'} # 定制HTTP头
# r = requests.request('POST', 'http://python123.io/ws', headers=hd)
# url = 'http://python123.io/ws/demo.html'
# r = requests.get(url)
# print(r.status_code)
# demo = r.text
#
# soup = BeautifulSoup(demo, "html.parser")
# print(soup.prettify())
def ParsingHTML(url):
try:
r = requests.get(url)
r.raise_for_status()
demo = r.text
soup = BeautifulSoup(demo, 'html.parser') # 对HTML文档进行解析
soup01 = BeautifulSoup(demo, 'xml')
soup02 = BeautifulSoup(demo, 'html5lib')
return soup02
except:
return "解析失败"
if __name__ == "__main__":
url = 'http://python123.io/ws/demo.html'
print(ParsingHTML(url))
|
#http://live.amasupercross.com/xml/sx/RaceResults.json?
import urllib2
import twitter
import time
import pandas as pd
import itertools
import random
import config
import json
import re
from xml.etree import cElementTree as ET
MX = False #for MX and SX mode
tweet_this = False
top_x_dict = {0 : 10, 10 : 5, 15 : 3}
positions_to_tweet = 22
max_nr_attempts = 190
sleep_time = random.randint(12,16)
exit_count = 0
last_lap = "0"
race_complete = False
race_strings = ['MAIN','HEAT','MOTO', 'LCQ', 'SEMI', 'LAST CHANCE QUALIFIER'] #Last Chance Qualifier
#race_completeDict = {("250","1") : False, ("250","2") : False, ("450","1") : False, ("450","2") : False}
race_completeDict = {("250","1") : False, ("250","2") : False, ("450","1") : False, ("450","2") : False,
("250", "HEAT", "1") : False, ("250", "HEAT", "2") : False, ("250", "LCQ") : False,
("250", "MAIN") : False, ("450", "HEAT", "1") : False, ("450", "HEAT", "2") : False,
("450", "SEMI", "1") : False, ("450", "SEMI", "2") : False, ("450", "LCQ") : False,
("450", "MAIN") : False}
if MX:
url = "http://americanmotocrosslive.com/xml/mx/RaceResultsWeb.xml?"
info_url = "http://americanmotocrosslive.com/xml/mx/Announcements.json"
points = { 1 : 25, 2 : 22, 3 : 20, 4 : 18, 5 : 16, 6 : 15, 7 : 14, 8 : 13, 9 : 12, 10 : 11,
11 : 10, 12 : 9, 13 : 8, 14 : 7, 15 : 6, 16 : 5, 17 : 4, 18 : 3, 19 : 2, 20 : 1}
else:
url = "http://live.amasupercross.com/xml/sx/RaceResultsWeb.xml?"
info_url = "http://live.amasupercross.com/xml/sx/Announcements.json"
bubble_dict = {('450','HEAT') : 4, ('450','SEMI') : 5, ('450','LAST CHANCE QUALIFIER') : 4,
('250','HEAT') : 9, ('250', 'LAST CHANCE QUALIFIER') : 4, ('450', 'LCQ') : 4, ('250', 'LCQ') : 4}
def getlapTimes():
tweets = []
global last_lap
global positions_to_tweet
global race_complete
try:
data = urllib2.urlopen(info_url, timeout=3)
except urllib2.URLError, e:
return e, None
try:
d = json.loads(data.read())
raceDesc = d["S"].upper()
if not any(substring in raceDesc for substring in race_strings): #checking to see if we are racing
return "Not Ready", None
#Check to see if this race is in the race_completeDict dict
except Exception as e:
return e, None
try:
race_data = urllib2.urlopen(url, timeout=3)
except urllib2.URLError, e:
return e, None
try:
#tree = xml.etree.cElementTree.parse(race_data)
tree = ET.parse(race_data)
root = tree.get_root()
riders = root.findall("./B")
#check to see if we are on a new lap
lap = str(riders[0].attrib['L']).strip()
pattern = re.compile("\d{3}")
className = str(pattern.findall(raceDesc)[0])
if MX:
#pattern = re.compile("\s[1-2]{1}")
#moto = str(pattern.findall(raceDesc)[0]).strip()
pattern = re.compile("[\s|#][1-2]{1}")
moto = str(pattern.findall(raceDesc)[0]).strip()
if moto.startswith("#"):
moto = moto[1]
print "This is moto " + moto
#race_complete = race_completeDict[(className, moto)]
else:
moto = 0 #hack
if raceDesc.find("MAIN") == -1: #if we are in a qualifying race
racePos = match_in_list(raceDesc) #need to know if this is a semi or a heat or ? in order to know the bubble position
print ("cn = " + str(className))
print ("rp = " + str(racePos))
print ("rs = " + str(race_strings[racePos]))
bubble_pos = bubble_dict.get((className,race_strings[racePos]),-1)
print ("bp = " + str(bubble_pos))
else:
bubble_pos = 50
length_of_announcements = len(d["B"])
last_annoucement = d["B"][length_of_announcements-1]["M"]
if last_annoucement.find("Session Complete") > -1 and not race_complete:#Dict[(className, moto)]:
if MX and moto == '1':
savetop_x(riders, className)
#race_completeDict[(className, moto)] = True
race_complete = True
tweet = "Checkers "
tweet = get_ro_tweet(tweet, riders, positions_to_tweet,3)
tweets.append(tweet)
if MX and moto == "2":
oaTweet = "Checkers " + getOATweet(riders, className)
if len(oaTweet) > 140:
oaTweet = oaTweet[:137] + '...'
tweets.append(oaTweet)
return 'OK', tweets
elif last_annoucement.find("Session Complete") > -1:
return "Not Ready", None
else:
tweet = 'L' + lap + " "
if race_complete: race_complete = False
if lap == last_lap:# and not race_completeDict[(className, moto)]:
return "Not Ready", None
#Have we completed a lap yet
gapTest = riders[1].attrib['G']
if gapTest == '--.---' or gapTest == '00.000' or gapTest == '-.---' or gapTest == '0.000' or lap == '0':
return 'Not Ready', None
#riders that are currently on the lead lap
ridersOnLeadlap = list(itertools.takewhile(lambda x: x.attrib['G'].find('ap') == -1, riders))
#get how many 'spaced' riders will be tweeted based on the current lap number
top_x = get_top_x(int(lap))
#Check to see if we have enough riders on the same lead lap to tweet
if len(ridersOnLeadlap) < top_x:
return 'Not Ready', None
tweet = get_ro_tweet(tweet, riders, positions_to_tweet, top_x, bubble_pos)
tweets.append(tweet)
#if this is MX and moto 2 then we can start the OA tweets
if MX and moto == '2':
oaTweet = 'L' + lap + getOATweet(riders, className)
if len(oaTweet) > 140:
oaTweet = oaTweet[:137] + '...'
tweets.append(oaTweet)
last_lap = lap
#if last_annoucement.find("Session Complete") > -1:
# race_completeDict[(className, moto)] = True
return 'OK', tweets
except Exception as e:
return e, None
def get_ro_tweet(tweet, riders, positions_to_tweet, top_x, bubble_pos=40):
#in MX we can't tweet all the racers and in SX we need to make sure we have at least X
if len(riders) < positions_to_tweet:
positions_to_tweet = len(riders)
for x in range(positions_to_tweet):
if x == 0: #if this is the first placed rider then no spaces are necessary
tweet = tweet + riders[x].attrib['N']
else:
if x < top_x: #add gap spaces to these riders
spaceCount = int(get_time(riders[x].attrib['G'])) + 1 #get_time() does a rough calculation of gaps and returns a 'space count'
tweet = tweet + "_" * spaceCount
if not MX and x == (bubble_pos - 1):
tweet = tweet + '*' + riders[x].attrib['N']
else:
tweet = tweet + riders[x].attrib['N']
else: #these rider are outside of the top_x so we just put them in order and separate them by '-'
if x == top_x:
tweet = tweet + ' | ' + riders[x].attrib['N']
else:
tweet = tweet + '-' + riders[x].attrib['N']
#Shorten the lap tweet if needed.
if len(tweet) > 140:
tweet = tweet[:137] + '...'
return tweet
def get_top_x(lap):
for k in top_x_dict:
if lap > k:
lapKey = k
return top_x_dict[lapKey]
def match_in_list(header):
race = "HEAT" #str(header[2])
racePosList = [i for i, x in enumerate(race_strings) if x in race.upper()]
if racePosList:
return racePosList[0]
return -1
def getOATweet(riders, motoClass):
print 'Getting OA Tweet for the ' + motoClass + ' class'
top_x = len(riders)
d = getMotoOne(motoClass)
print 'Got Moto One results'
df = pd.DataFrame(columns=('riderNum', 'Points', 'MotoTwoPos'))
for x in range(0,top_x):
try:
motoOnePoints = int(d[riders[x].attrib['N']])
except:
motoOnePoints = 0
pass
motoTwoPoints = points.get(x+1,0)
df.loc[x] = [riders[x].attrib['N'], (motoOnePoints + motoTwoPoints), (x + 1)]
df = df.sort_index(by=['Points','MotoTwoPos'], ascending=[False,True])
df = df.reset_index()
oaTweet = ' OA '
for x in range(0,10):
oaTweet += '(' + str((x + 1)) + ')' + df.ix[x].riderNum + '__'
return oaTweet[:len(oaTweet) - 2]
def getMotoOne(className):
d = {}
filePath = "/home/haffner/lap/" + className
with open(filePath) as f:
for line in f:
(key, val) = line.split(',')
d[key] = val
return d
def savetop_x(riders, className):
print className
top_x = len(riders)
filePath = "/home/haffner/lap/" + className
file = open(filePath, "w")
for x in range(0,top_x):
file.write(riders[x].attrib['N'] + ',' + str(points.get(x+1,0)) + '\n')
file.close()
print 'Done with save'
def get_time(t):
colonPos = t.find(':')
if colonPos > -1:
timeSplit = t.split(':')
return int(timeSplit[0]) * 60 + float(timeSplit[1])
elif t.find('lap') > -1:
return -1
else:
return float(t)
def string_between_two_chars(string, char1, char2):
string_list = []
for x in range(0,len(string)):
if string[x] == char1:
char2Pos = string[x:].find(char2)
newString = string[x + 1:(x + char2Pos)]
string_list.append(newString)
return string_list
if __name__ == '__main__':
if tweet_this == True:
#the necessary twitter authentification
my_auth = twitter.OAuth(config.twitter["token"], config.twitter["token_secret"], config.twitter["consumer_key"], config.twitter["consumer_secret"])
twit = twitter.Twitter(auth=my_auth)
while True:
print "Trying..."
status, tweets = getlapTimes()
#exit()
if status == 'OK':
exit_count = 0
print tweets
if tweet_this == True:
for tweet in tweets:
print 'tweeting - ' + tweet
twit.statuses.update(status=tweet) #lap Times Tweet
else:
exit_count = exit_count + 1
print 'Exit Count is ' + str(exit_count) + ' out of ' + str(max_nr_attempts)
#exit_count keeps track of the number of times that getlapTimes() returns 'Not Ready'
#This will stop the script when it exceeds max_nr_attempts
if exit_count > max_nr_attempts:
exit()
print status
sleep_time = random.randint(12,16)
print 'Sleeping for ' + str(sleep_time) + ' seconds'
time.sleep(sleep_time) #puts the app to sleep for a predetermined amount of time
|
from django.db import models
# Create your models here.
class Album(models.Model):
singer=models.CharField(max_length=30)
singer_album=models.CharField(max_length=30)
genre=models.CharField(max_length=30)
def __str__(self):
return self.singer + "---" + self.singer_album
class Song(models.Model):
music=models.ForeignKey(Album,on_delete=models.CASCADE)
file_type=models.CharField(max_length=50)
song_name=models.CharField(max_length=100)
is_favorite=models.BooleanField(default=False)
def __str__(self):
return self.song_name
|
# This Python file uses the following encoding: utf-8
import sys
import os
from PySide2.QtWidgets import QApplication, QWidget
from PySide2.QtCore import QFile
from PySide2.QtUiTools import QUiLoader
class App(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle("SWS_FACE_RECOGNITION")
self.disply_width = 1280
self.display_height = 720
# create the label that holds the image
self.image_label = QLabel(self)
self.image_label.resize(self.disply_width, self.display_height)
# create a text label
self.textLabel = QLabel('Webcam')
# create a vertical box layout and add the two labels
vbox = QVBoxLayout()
vbox.addWidget(self.image_label)
vbox.addWidget(self.textLabel)
# set the vbox layout as the widgets layout
self.setLayout(vbox)
# create the video capture thread
self.thread = VideoThread()
# connect its signal to the update_image slot
self.thread.change_pixmap_signal.connect(self.update_image)
# start the thread
self.thread.start()
def closeEvent(self, event):
self.thread.stop()
event.accept()
@pyqtSlot(np.ndarray)
def update_image(self, cv_img):
"""Updates the image_label with a new opencv image"""
qt_img = self.convert_cv_qt(cv_img)
self.image_label.setPixmap(qt_img)
def convert_cv_qt(self, cv_img):
"""Convert from an opencv image to QPixmap"""
rgb_image = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB)
h, w, ch = rgb_image.shape
bytes_per_line = ch * w
convert_to_Qt_format = QtGui.QImage(rgb_image.data, w, h, bytes_per_line, QtGui.QImage.Format_RGB888)
p = convert_to_Qt_format.scaled(self.disply_width, self.display_height, Qt.KeepAspectRatio)
return QPixmap.fromImage(p)
if __name__=="__main__":
app = QApplication(sys.argv)
a = App()
a.show()
sys.exit(app.exec_())
|
# Copyright 2021 DAI Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
from collections import OrderedDict
from typing import Dict, Optional
import requests
from ethtx.exceptions import ProcessingException
log = logging.getLogger(__name__)
class EtherscanClient:
MODULE = "module="
ACTION = "&action="
CONTRACT_ADDRESS = "&contractaddress="
ADDRESS = "&address="
OFFSET = "&offset="
PAGE = "&page="
SORT = "&sort="
BLOCK_TYPE = "&blocktype="
TO = "&to="
VALUE = "&value="
DATA = "&data="
POSITION = "&position="
HEX = "&hex="
GAS_PRICE = "&gasPrice="
GAS = "&gas="
START_BLOCK = "&startblock="
END_BLOCK = "&endblock="
BLOCKNO = "&blockno="
TXHASH = "&txhash="
TAG = "&tag="
BOOLEAN = "&boolean="
INDEX = "&index="
API_KEY = "&apikey="
url_dict: OrderedDict = {}
def __init__(
self,
api_key: str,
nodes: Dict[str, str],
default_chain_id: Optional[str] = None,
):
self.api_key = api_key
self.endpoints = nodes
self.default_chain = default_chain_id
self.http = requests.session()
self.http.headers.update({"User-Agent": "API"})
self.url_dict = OrderedDict(
[
(self.MODULE, ""),
(self.ADDRESS, ""),
(self.ACTION, ""),
(self.OFFSET, ""),
(self.PAGE, ""),
(self.SORT, ""),
(self.BLOCK_TYPE, ""),
(self.TO, ""),
(self.VALUE, ""),
(self.DATA, ""),
(self.POSITION, ""),
(self.HEX, ""),
(self.GAS_PRICE, ""),
(self.GAS, ""),
(self.START_BLOCK, ""),
(self.END_BLOCK, ""),
(self.BLOCKNO, ""),
(self.TXHASH, ""),
(self.TAG, ""),
(self.BOOLEAN, ""),
(self.INDEX, ""),
(self.API_KEY, api_key),
]
)
def build_url(self, chain_id: str, url_dict: OrderedDict) -> str:
return (
self.endpoints[chain_id]
+ "?"
+ "".join([param + val if val else "" for param, val in url_dict.items()])
)
def _get_chain_id(self, chain_id) -> str:
_id = chain_id or self.default_chain
if _id is None:
raise ProcessingException(
"chain_id must be provided as argument or constructor default"
)
return _id
|
import os
from distutils.core import setup
from distutils.sysconfig import get_config_vars
exec_prefix, libdir = get_config_vars('exec_prefix', 'LIBDIR')
if libdir.startswith(exec_prefix + '/'):
libdir = libdir[len(exec_prefix)+1:]
plugindir = os.path.join(libdir, 'nagios/plugins')
fd = open('VERSION','rw')
version = fd.read().strip()
fd.close()
setup(
name = 'nordugrid-arc-nagios-plugins',
version = version,
description = 'Nagios Probes for Arc CEs',
url = 'http://www.nordugrid.org/',
author = 'Petter Urkedal',
author_email = 'urkedal@nbi.dk',
requires = ['arc', 'argparse', 'ldap', 'ply'],
packages = ['arcnagios', 'arcnagios.plugins', 'arcnagios.jobplugins'],
data_files = [
(plugindir, [
'plugins/check_arcce',
'plugins/check_arcce_clean',
'plugins/check_arcce_monitor',
'plugins/check_arcce_submit',
'plugins/check_aris',
'plugins/check_egiis',
'plugins/check_arcglue2',
'plugins/check_arcinfosys',
'plugins/check_archostcert',
'plugins/check_arcservice',
'plugins/check_gridstorage',
]),
('/etc/nagios/plugins', [
'config/arcnagios-dist.ini'
]),
('share/nordugrid-arc-nagios-plugins/jobscripts', [
'jobscripts/arcce_igtf.py'
])
],
)
|
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