def grid(self,nspace=10):
GRID_LINES=[]
for LINE in self.lines():
# word line
line_words=[]
for i,wtok in enumerate(LINE):
if wtok.is_punct: continue
line_words+=[makeminlength(wtok.token,nspace)]
line_words = ' '.join(line_words)
# grid lines
import math,numpy as np
grid_lines=[]
max_grid = max([wtok.phrasal_stress for wtok in self.children if wtok.phrasal_stress!=None])
min_grid = min([wtok.phrasal_stress for wtok in self.children if wtok.phrasal_stress!=None])
#for line_num in range(int(math.ceil(min_grid))+1,int(math.ceil(max_grid))+1):
for line_num in range(1,int(math.ceil(max_grid))+1):
grid_line=[]
for i,wtok in enumerate(LINE):
if wtok.is_punct: continue
mark = 'X' if wtok.phrasal_stress!=None and wtok.phrasal_stress<=line_num else ''
grid_line+=[makeminlength(mark,nspace)]
grid_lines+=[' '.join(grid_line)]
# lines data
data_lines=[]
for datak in ['mean','mean_line','phrasal_stress_peak','phrasal_head']:
data_line=[]
for i,wtok in enumerate(LINE):
if wtok.is_punct: continue
v=wtok.feats.get(datak,'')
if v==None:
v=''
elif type(v) in [float,np.float64]:
if np.isnan(v):
v=''
else:
v=round(v,1)
elif v in [True,False]:
v='+' if v else '-'
if datak == 'phrasal_stress_peak':
v2=wtok.feats.get('phrasal_stress_valley')
if v2 and v:
v=v+'/-'
elif v2 and not v:
v='-'
mark = str(v)
data_line+=[makeminlength(mark,nspace)]
datak_name = datak
if datak=='mean': datak_name='stress [sent]'
if datak=='mean_line': datak_name='stress [line]'
if datak=='norm_mean': datak_name='stress [sent norm]'
if datak=='norm_mean_line': datak_name='stress [line norm]'
if datak=='phrasal_stress_peak': datak_name='peak/valley'
if datak=='phrasal_head': datak_name='head/foot'
data_line+=[makeminlength('('+datak_name+')',nspace)]
data_lines+=[' '.join(data_line)]
#grid_lines.insert(0,line_words)
grid_lines.append(line_words)
grid_lines.append('')
grid_lines.extend(data_lines)
maxlength = max([len(l) for l in grid_lines])
hdrftr='#' * maxlength
hdr='STRESS GRID: '+wordtoks2str(LINE)
#grid_lines.insert(0,self.token)
#grid_lines.insert(0,hdr)
#grid_lines.insert(0,hdrftr)
#grid_lines.append(hdrftr)
GRID_LINES+=['\n'.join(grid_lines)]
return '\n\n\n'.join(GRID_LINES)
def grid(self,nspace=10):
GRID_LINES=[]
for LINE in self.lines():
# word line
line_words=[]
for i,wtok in enumerate(LINE):
if wtok.is_punct: continue
line_words+=[makeminlength(wtok.token,nspace)]
line_words = ' '.join(line_words)
# grid lines
import math,numpy as np
grid_lines=[]
max_grid = max([wtok.phrasal_stress for wtok in self.children if wtok.phrasal_stress!=None])
min_grid = min([wtok.phrasal_stress for wtok in self.children if wtok.phrasal_stress!=None])
#for line_num in range(int(math.ceil(min_grid))+1,int(math.ceil(max_grid))+1):
for line_num in range(1,int(math.ceil(max_grid))+1):
grid_line=[]
for i,wtok in enumerate(LINE):
if wtok.is_punct: continue
mark = 'X' if wtok.phrasal_stress!=None and wtok.phrasal_stress<=line_num else ''
grid_line+=[makeminlength(mark,nspace)]
grid_lines+=[' '.join(grid_line)]
# lines data
data_lines=[]
for datak in ['mean','mean_line','phrasal_stress_peak','phrasal_head']:
data_line=[]
for i,wtok in enumerate(LINE):
if wtok.is_punct: continue
v=wtok.feats.get(datak,'')
if v==None:
v=''
elif type(v) in [float,np.float64]:
if np.isnan(v):
v=''
else:
v=round(v,1)
elif v in [True,False]:
v='+' if v else '-'
if datak == 'phrasal_stress_peak':
v2=wtok.feats.get('phrasal_stress_valley')
if v2 and v:
v=v+'/-'
elif v2 and not v:
v='-'
mark = str(v)
data_line+=[makeminlength(mark,nspace)]
datak_name = datak
if datak=='mean': datak_name='stress [sent]'
if datak=='mean_line': datak_name='stress [line]'
if datak=='norm_mean': datak_name='stress [sent norm]'
if datak=='norm_mean_line': datak_name='stress [line norm]'
if datak=='phrasal_stress_peak': datak_name='peak/valley'
if datak=='phrasal_head': datak_name='head/foot'
data_line+=[makeminlength('('+datak_name+')',nspace)]
data_lines+=[' '.join(data_line)]
#grid_lines.insert(0,line_words)
grid_lines.append(line_words)
grid_lines.append('')
grid_lines.extend(data_lines)
maxlength = max([len(l) for l in grid_lines])
hdrftr='#' * maxlength
hdr='STRESS GRID: '+wordtoks2str(LINE)
#grid_lines.insert(0,self.token)
#grid_lines.insert(0,hdr)
#grid_lines.insert(0,hdrftr)
#grid_lines.append(hdrftr)
GRID_LINES+=['\n'.join(grid_lines)]
return '\n\n\n'.join(GRID_LINES)
def token(self): return wordtoks2str(self.children)
def token(self):
return wordtoks2str(self.children)