def est_smooth_kernel(txt):
# Initialize FWHM
kernels = []
ctxt = re.sub(r'[():=]', '', txt)
for ptn in smooth_spatial_ptn:
matches = rex_flex(ptn, ctxt, re.finditer)
for match in matches:
kernel_str = match.groupdict()['kernel']
# Handle ...
six_match = re.search('(\d+?)6(\d+?)6(\d+)', kernel_str)
if six_match:
if len(set(six_match.groups())) == 1:
kernel_str = six_match.groups()[-1]
# Skip if match preceded by number; prevents matches on input like
# "6 .5 mm fwhm"
context_back, _ = rex_ctx(match, ctxt, nchar_pre=10, nchar_post=0)
before_group = context_back.replace(match.group(), '')
if re.search(r'[.\d]\s+$', before_group):
continue
# Skip if not float
try:
kernel = float(kernel_str)
except (ValueError, TypeError):
continue
# Skip if implausible
if kernel > MAX_FWHM:
continue
context, span = rex_ctx(match, ctxt)
group = match.group()
kernels.append({
'value': kernel,
'context': context,
'group': group,
'span': span,
})
return kernels
def est_smooth_kernel(txt):
# Initialize FWHM
kernels = []
ctxt = re.sub(r'[():=]', '', txt)
for ptn in smooth_spatial_ptn:
matches = rex_flex(ptn, ctxt, re.finditer)
for match in matches:
kernel_str = match.groupdict()['kernel']
# Handle ...
six_match = re.search('(\d+?)6(\d+?)6(\d+)', kernel_str)
if six_match:
if len(set(six_match.groups())) == 1:
kernel_str = six_match.groups()[-1]
# Skip if match preceded by number; prevents matches on input like
# "6 .5 mm fwhm"
context_back, _ = rex_ctx(match, ctxt, nchar_pre=10, nchar_post=0)
before_group = context_back.replace(match.group(), '')
if re.search(r'[.\d]\s+$', before_group):
continue
# Skip if not float
try:
kernel = float(kernel_str)
except (ValueError, TypeError):
continue
# Skip if implausible
if kernel > MAX_FWHM:
continue
context, span = rex_ctx(match, ctxt)
group = match.group()
kernels.append({
'value': kernel,
'context': context,
'group': group,
'span': span,
})
return kernels
def est_field_strength(txt):
fields = []
for ptn in field_ptn:
matches = rex_flex(ptn, txt, fun=re.finditer)
for match in matches:
short_context, _ = rex_ctx(match=match, txt=txt, nchar=50)
if not re.search(mag_ptn, short_context, re.I):
continue
# Skip if significance test; easy to confuse with e.g.
# "3.0 T, p < 0.05"
post_context, _ = rex_ctx(match, txt, nchar_pre=0, nchar_post=50)
if rex_flex(sig_ptn, post_context):
continue
field_str = match.groupdict()['field']
# Try to cast field strength to float
try:
field = float(field_str)
except (ValueError, TypeError):
continue
if MIN_FIELD_STRENGTH <= field <= MAX_FIELD_STRENGTH:
context, span = rex_ctx(match, txt)
group = match.group()
fields.append({
'value': field,
'context': context,
'group': group,
'span': span,
})
return fields
def est_field_strength(txt):
fields = []
for ptn in field_ptn:
matches = rex_flex(ptn, txt, fun=re.finditer)
for match in matches:
short_context, _ = rex_ctx(match=match, txt=txt, nchar=50)
if not re.search(mag_ptn, short_context, re.I):
continue
# Skip if significance test; easy to confuse with e.g.
# "3.0 T, p < 0.05"
post_context, _ = rex_ctx(match, txt, nchar_pre=0, nchar_post=50)
if rex_flex(sig_ptn, post_context):
continue
field_str = match.groupdict()['field']
# Try to cast field strength to float
try:
field = float(field_str)
except (ValueError, TypeError):
continue
if MIN_FIELD_STRENGTH <= field <= MAX_FIELD_STRENGTH:
context, span = rex_ctx(match, txt)
group = match.group()
fields.append({
'value': field,
'context': context,
'group': group,
'span': span,
})
return fields