def __init__(self, backend, working_dir=None, options=None, name=None, src_text=None, is_stdlib_cache=False):
# assert src_text is None
from neurounits.neurounitparser import NeuroUnitParserOptions
self.options = options or NeuroUnitParserOptions()
# This is only used to make summarising easier:
self.name = name
self.src_text = src_text
self.currentblock = None
self.backend = backend
self.libraries = []
self.eqnsets = []
# self.working_dir = working_dir or "/tmp/mf_neurounits/"
# EnsureExisits(self.working_dir)
if is_stdlib_cache:
# Load in the standard libraries:
from neurounits.unit_expr_parsing.units_expr_yacc import parse_expr, ParseTypes
LibraryManager._stdlib_cache_loading = True
for f in glob.glob(self._stdlibdir + "/*.eqn"):
with open(f) as l:
parse_expr(l.read(), parse_type=ParseTypes.L6_TextBlock, library_manager=self)
LibraryManager._stdlib_cache_loading = False
LibraryManager._stdlib_cache = self
# Ensure the cache is setup:
if not LibraryManager._stdlib_cache and not is_stdlib_cache:
LibraryManager(backend=backend, is_stdlib_cache=True)
def Function(cls, text, debug=False, backend=None):
assert False
""" Should return a callable"""
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(
text,
parse_type=units_expr_yacc.ParseTypes.L1_Unit,
backend=backend)
def __init__(self,
backend,
working_dir=None,
options=None,
name=None,
src_text=None,
is_stdlib_cache=False):
from neurounits.neurounitparser import NeuroUnitParserOptions
self.options = options or NeuroUnitParserOptions()
# This is only used to make summarising easier:
self.name = name
self.src_text = src_text
self.block_stack = []
self.backend = backend
self._parsing_namespace_stack = []
# And into these:
self.namespace = ComponentNamespace(name=None, parent=None)
if is_stdlib_cache and not LibraryManager._stdlib_cache:
# Load in the standard libraries:
from neurounits.unit_expr_parsing.units_expr_yacc import parse_expr, ParseTypes
LibraryManager._stdlib_cache_loading = True
for f in glob.glob(self._stdlibdir + '/*.eqn'):
with open(f) as l:
print 'Loading StdLib file:', f
parse_expr(l.read(),
parse_type=ParseTypes.N6_9MLFile,
library_manager=self)
LibraryManager._stdlib_cache_loading = False
# Copy the old namespace object accross
LibraryManager._stdlib_cache = self.namespace
self.namespace = ComponentNamespace(name=None, parent=None)
# Ensure the cache is setup:
if not LibraryManager._stdlib_cache and not is_stdlib_cache:
LibraryManager(backend=backend, is_stdlib_cache=True)
def __init__(self,
backend,
working_dir=None,
options=None,
name=None,
src_text=None,
is_stdlib_cache=False):
#assert src_text is None
from neurounits.neurounitparser import NeuroUnitParserOptions
self.options = options or NeuroUnitParserOptions()
# This is only used to make summarising easier:
self.name = name
self.src_text = src_text
self.currentblock = None
self.backend = backend
self.libraries = []
self.eqnsets = []
# self.working_dir = working_dir or "/tmp/mf_neurounits/"
# EnsureExisits(self.working_dir)
if is_stdlib_cache:
# Load in the standard libraries:
from neurounits.unit_expr_parsing.units_expr_yacc import parse_expr, ParseTypes
LibraryManager._stdlib_cache_loading = True
for f in glob.glob(self._stdlibdir + "/*.eqn"):
with open(f) as l:
print 'Loading StdLib file:', f
parse_expr(l.read(),
parse_type=ParseTypes.L6_TextBlock,
library_manager=self)
LibraryManager._stdlib_cache_loading = False
LibraryManager._stdlib_cache = self
# Ensure the cache is setup:
if not LibraryManager._stdlib_cache and not is_stdlib_cache:
LibraryManager(backend=backend, is_stdlib_cache=True)
def __init__(self,backend, working_dir=None, options=None, name=None, src_text=None, is_stdlib_cache=False):
from neurounits.neurounitparser import NeuroUnitParserOptions
self.options = options or NeuroUnitParserOptions()
# This is only used to make summarising easier:
self.name = name
self.src_text = src_text
self.block_stack = []
self.backend = backend
self._parsing_namespace_stack = []
# And into these:
self.namespace = ComponentNamespace(name=None, parent=None)
if is_stdlib_cache and not LibraryManager._stdlib_cache:
# Load in the standard libraries:
from neurounits.unit_expr_parsing.units_expr_yacc import parse_expr, ParseTypes
LibraryManager._stdlib_cache_loading = True
for f in glob.glob(self._stdlibdir + '/*.eqn'):
with open(f) as l:
print 'Loading StdLib file:', f
parse_expr(l.read(), parse_type=ParseTypes.N6_9MLFile, library_manager=self)
LibraryManager._stdlib_cache_loading = False
# Copy the old namespace object accross
LibraryManager._stdlib_cache = self.namespace
self.namespace = ComponentNamespace(name=None, parent=None)
# Ensure the cache is setup:
if not LibraryManager._stdlib_cache and not is_stdlib_cache:
LibraryManager(backend=backend, is_stdlib_cache=True)
def File(cls,
text,
working_dir=None,
debug=False,
backend=None,
options=None,
name=None):
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(
text,
parse_type=units_expr_yacc.ParseTypes.L6_TextBlock,
working_dir=working_dir,
backend=backend,
options=options,
name=name)
def Parse9MLFile(cls,
text,
debug=False,
backend=None,
working_dir=None,
options=None,
**kwargs):
logging.log_neurounits.info('Parse9MLFile:')
logging.log_neurounits.info('Options: %s' % options)
logging.log_neurounits.info('Text: \n%s' % text)
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(
text,
parse_type=units_expr_yacc.ParseTypes.N6_9MLFile,
working_dir=working_dir,
backend=backend,
options=options,
**kwargs)
def QuantityExpr(cls, text, debug=False, backend=None):
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(
text,
parse_type=units_expr_yacc.ParseTypes.L3_QuantityExpr,
backend=backend)
def Unit(cls, text, debug=False, backend=None):
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(
text,
parse_type=units_expr_yacc.ParseTypes.L1_Unit,
backend=backend)
def File(cls, text, working_dir=None, debug=False, backend=None, options=None, name=None ):
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(text, parse_type=units_expr_yacc.ParseTypes.L6_TextBlock, working_dir=working_dir, backend=backend, options=options, name=name)
def Function(cls, text, debug=False, backend=None):
assert False
""" Should return a callable"""
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(text, parse_type=units_expr_yacc.ParseTypes.L1_Unit, backend=backend )
def QuantityExpr(cls, text, debug=False, backend=None):
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(text, parse_type=units_expr_yacc.ParseTypes.L3_QuantityExpr, backend=backend)
def Unit(cls, text, debug=False, backend=None):
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(text, parse_type=units_expr_yacc.ParseTypes.L1_Unit, backend=backend )
def Parse9MLFile(cls, text, debug=False, backend=None, working_dir=None, options=None, **kwargs):
logging.log_neurounits.info('Parse9MLFile:')
logging.log_neurounits.info('Options: %s'%options)
logging.log_neurounits.info('Text: \n%s' % text)
backend = backend or cls.get_defaultBackend()
return units_expr_yacc.parse_expr(text, parse_type=units_expr_yacc.ParseTypes.N6_9MLFile, working_dir=working_dir, backend=backend, options=options, **kwargs)
