def _manipulate_label(x): # gets the label that is displayed for a symbol or name
if isinstance(x, String):
return x.get_string_value()
elif isinstance(x, Symbol):
return strip_context(x.get_name())
else:
return str(x)
def _load_spacy(self, evaluation, options):
language_code = None
language_name = self.get_option(options, 'Language', evaluation)
if language_name is None:
language_name = String('Undefined')
if isinstance(language_name, String):
language_code = _SpacyBuiltin._language_codes.get(language_name.get_string_value())
if not language_code:
evaluation.message(self.get_name(), 'lang', language_name, strip_context(self.get_name()))
return None
instance = _SpacyBuiltin._spacy_instances.get(language_code)
if instance:
return instance
try:
if 'SPACY_DATA' in os.environ:
instance = spacy.load(language_code, via=os.environ['SPACY_DATA'])
else:
instance = spacy.load(language_code)
_SpacyBuiltin._spacy_instances[language_code] = instance
return instance
except RuntimeError as e:
evaluation.message(self.get_name(), 'runtime', str(e))
return None
def clear_cache(self, name=None):
# the definitions cache (self.definitions_cache) caches (incomplete and complete) names -> Definition(),
# e.g. "xy" -> d and "MyContext`xy" -> d. we need to clear this cache if a Definition() changes (which
# would happen if a Definition is combined from a builtin and a user definition and some content in the
# user definition is updated) or if the lookup rules change and we could end up at a completely different
# Definition.
# the lookup cache (self.lookup_cache) caches what lookup_name() does. we only need to update this if some
# change happens that might change the result lookup_name() calculates. we do not need to change it if a
# Definition() changes.
# self.proxy keeps track of all the names we cache. if we need to clear the caches for only one name, e.g.
# 'MySymbol', then we need to be able to look up all the entries that might be related to it, e.g. 'MySymbol',
# 'A`MySymbol', 'C`A`MySymbol', and so on. proxy identifies symbols using their stripped name and thus might
# give us symbols in other contexts that are actually not affected. still, this is a safe solution.
if name is None:
self.definitions_cache = {}
self.lookup_cache = {}
self.proxy = defaultdict(set)
else:
definitions_cache = self.definitions_cache
lookup_cache = self.lookup_cache
tail = strip_context(name)
for k in self.proxy.pop(tail, []):
definitions_cache.pop(k, None)
lookup_cache.pop(k, None)
def get_definition(self, name, only_if_exists=False):
definition = self.definitions_cache.get(name, None)
if definition is not None:
return definition
original_name = name
name = self.lookup_name(name)
user = self.user.get(name, None)
builtin = self.builtin.get(name, None)
if user is None and builtin is None:
definition = None
elif builtin is None:
definition = user
elif user is None:
definition = builtin
else:
if user:
attributes = user.attributes
elif builtin:
attributes = builtin.attributes
else:
attributes = set()
if not user:
user = Definition(name=name)
if not builtin:
builtin = Definition(name=name)
options = builtin.options.copy()
options.update(user.options)
formatvalues = builtin.formatvalues.copy()
for form, rules in six.iteritems(user.formatvalues):
if form in formatvalues:
formatvalues[form].extend(rules)
else:
formatvalues[form] = rules
definition = Definition(name=name,
ownvalues=user.ownvalues + builtin.ownvalues,
downvalues=user.downvalues + builtin.downvalues,
subvalues=user.subvalues + builtin.subvalues,
upvalues=user.upvalues + builtin.upvalues,
formatvalues=formatvalues,
messages=user.messages + builtin.messages,
attributes=attributes,
options=options,
nvalues=user.nvalues + builtin.nvalues,
defaultvalues=user.defaultvalues +
builtin.defaultvalues,
)
if definition is not None:
self.proxy[strip_context(original_name)].add(original_name)
self.definitions_cache[original_name] = definition
self.lookup_cache[original_name] = name
elif not only_if_exists:
definition = Definition(name=name)
return definition
def do_replace(self, vars, options, evaluation):
# The Python function implementing this builtin expects
# argument names corresponding to the symbol names without
# context marks.
vars_noctx = dict(((strip_context(s), vars[s]) for s in vars))
if options:
return self.function(
evaluation=evaluation, options=options, **vars_noctx)
else:
return self.function(evaluation=evaluation, **vars_noctx)
def apply_int(self, n, prop, evaluation):
"ElementData[n_?IntegerQ, prop_]"
from mathics.core.parser import parse
py_n = n.to_python()
py_prop = prop.to_python()
# Check element specifier n or "name"
if isinstance(py_n, int):
if not 1 <= py_n <= 118:
evaluation.message("ElementData", "noent", n)
return
elif isinstance(py_n, six.string_types):
pass
else:
evaluation.message("ElementData", "noent", n)
return
# Check property specifier
if isinstance(py_prop, six.string_types):
py_prop = str(py_prop)
if py_prop == '"Properties"':
result = []
for i, p in enumerate(_ELEMENT_DATA[py_n]):
if p not in ["NOT_AVAILABLE", "NOT_APPLICABLE", "NOT_KNOWN"]:
result.append(_ELEMENT_DATA[0][i])
return from_python(sorted(result))
if not (isinstance(py_prop, six.string_types) and
py_prop[0] == py_prop[-1] == '"' and
py_prop.strip('"') in _ELEMENT_DATA[0]):
evaluation.message("ElementData", "noprop", prop)
return
iprop = _ELEMENT_DATA[0].index(py_prop.strip('"'))
result = _ELEMENT_DATA[py_n][iprop]
if result == "NOT_AVAILABLE":
return Expression("Missing", "NotAvailable")
if result == "NOT_APPLICABLE":
return Expression("Missing", "NotApplicable")
if result == "NOT_KNOWN":
return Expression("Missing", "Unknown")
result = parse(result, evaluation.definitions)
if isinstance(result, Symbol):
result = String(strip_context(result.get_name()))
return result
def apply(self, pattern, evaluation):
"Names[pattern_]"
pattern = pattern.get_string_value()
if pattern is None:
return
names = set([])
for full_name in evaluation.definitions.get_matching_names(pattern):
short_name = strip_context(full_name)
names.add(short_name if short_name not in names else full_name)
# TODO: Mathematica ignores contexts when it sorts the list of
# names.
return Expression("List", *[String(name) for name in sorted(names)])
def add(self, expression, evaluation):
expr = Expression('System`Private`ManipulateParameter', expression).evaluate(evaluation)
if expr.get_head_name() != 'System`List': # if everything was parsed ok, we get a List
return False
# convert the rules given us by ManipulateParameter[] into a dict. note: duplicate keys
# will be overwritten, the latest one wins.
kwargs = {'evaluation': evaluation}
for rule in expr.leaves:
if rule.get_head_name() != 'System`Rule' or len(rule.leaves) != 2:
return False
kwargs[strip_context(rule.leaves[0].to_python()).lower()] = rule.leaves[1]
widget = kwargs['type'].get_string_value()
del kwargs['type']
getattr(self, '_add_%s_widget' % widget.lower())(**kwargs) # create the widget
return True
def apply(self, expr, args, evaluation):
'Manipulate[expr_, args__]'
if (not _jupyter) or (not Kernel.initialized()) or (Kernel.instance() is None):
return evaluation.message('Manipulate', 'jupyter')
instantiator = _WidgetInstantiator() # knows about the arguments and their widgets
for arg in args.get_sequence():
try:
if not instantiator.add(arg, evaluation): # not a valid argument pattern?
return
except IllegalWidgetArguments as e:
return evaluation.message('Manipulate', 'widgetargs', strip_context(str(e.var)))
except JupyterWidgetError as e:
return evaluation.message('Manipulate', 'widgetmake', e.err)
clear_output_callback = evaluation.output.clear
display_data_callback = evaluation.output.display # for pushing updates
try:
clear_output_callback(wait=True)
except NotImplementedError:
return evaluation.message('Manipulate', 'imathics')
def callback(**kwargs):
clear_output_callback(wait=True)
line_no = evaluation.definitions.get_line_no()
vars = [Expression('Set', Symbol(name), value) for name, value in kwargs.items()]
evaluatable = Expression('ReleaseHold', Expression('Module', Expression('List', *vars), expr))
result = evaluation.evaluate(evaluatable, timeout=settings.TIMEOUT)
if result:
display_data_callback(data=result.result, metadata={})
evaluation.definitions.set_line_no(line_no) # do not increment line_no for manipulate computations
widgets = instantiator.get_widgets()
if len(widgets) > 0:
box = _interactive(instantiator.build_callback(callback), widgets) # create the widget
formatter = IPythonDisplayFormatter()
if not formatter(box): # make the widget appear on the Jupyter notebook
return evaluation.message('Manipulate', 'widgetdisp')
return Symbol('Null') # the interactive output is pushed via kernel.display_data_callback (see above)
def _load_wordnet(self, evaluation, language_name):
language_code = None
if isinstance(language_name, String):
language_code = iso639_3.get(language_name.get_string_value())
if not language_code:
evaluation.message(self.get_name(), 'lang', language_name, strip_context(self.get_name()))
return None, None
wordnet = _WordNetBuiltin._wordnet_instances.get(language_code)
if not wordnet:
try:
wordnet = self._init_wordnet(evaluation, language_name, language_code)
except LookupError as e:
evaluation.message(self.get_name(), 'package', _parse_nltk_lookup_error(e))
return None, None
_WordNetBuiltin._wordnet_instances[language_code] = wordnet
return wordnet, language_code
def _init_wordnet(self, evaluation, language_name, language_code):
try:
wordnet_resource = nltk.data.find('corpora/wordnet')
_init_nltk_maps()
except LookupError:
evaluation.message(self.get_name(), 'package', 'wordnet')
return None
try:
omw = nltk.corpus.util.LazyCorpusLoader(
'omw', nltk.corpus.reader.CorpusReader, r'.*/wn-data-.*\.tab', encoding='utf8')
except LookupError:
evaluation.message(self.get_name(), 'package', 'omw')
return None
wordnet = nltk.corpus.reader.wordnet.WordNetCorpusReader(wordnet_resource, omw)
if language_code not in wordnet.langs():
evaluation.message(self.get_name(), 'lang', language_name, strip_context(self.get_name()))
return None
return wordnet
def _importer_exporter_options(available_options, options, evaluation):
stream_options = []
custom_options = []
if available_options and available_options.has_form('List', None):
for name in available_options.leaves:
if isinstance(name, String):
py_name = name.get_string_value()
elif isinstance(name, Symbol):
py_name = strip_context(name.get_name())
else:
py_name = None
if py_name:
value = Builtin.get_option(options, py_name, evaluation)
if value is not None:
expr = Expression('Rule', String(py_name), value)
if py_name == 'CharacterEncoding':
stream_options.append(expr)
else:
custom_options.append(expr)
return stream_options, custom_options
def clear_definitions_cache(self, name):
definitions_cache = self.definitions_cache
tail = strip_context(name)
for k in self.proxy.pop(tail, []):
definitions_cache.pop(k, None)
def options_to_rules(options, filter=None):
items = sorted(options.items())
if filter:
items = [(name, value) for name, value in items
if strip_context(name) in filter.keys()]
return [Expression("Rule", Symbol(name), value) for name, value in items]
def get_completion_candidates(self, text):
matches = self.definitions.get_matching_names(text + "*")
if "`" not in text:
matches = [strip_context(m) for m in matches]
return matches
def apply(self, symbol, evaluation):
"SymbolName[symbol_Symbol]"
# MMA docs say "SymbolName always gives the short name,
# without any context"
return String(strip_context(symbol.get_name()))
def __init__(self, *args, **kwargs):
super(SympyObject, self).__init__(*args, **kwargs)
if self.sympy_name is None:
self.sympy_name = strip_context(self.get_name()).lower()
def __init__(self, *args, **kwargs):
super(SympyObject, self).__init__(*args, **kwargs)
if self.sympy_name is None:
self.sympy_name = strip_context(self.get_name()).lower()
def apply(**kwargs): # will override apply method
kwargs['evaluation'].message(
'General',
'pyimport', # see inout.py
strip_context(self.get_name()),
package)
def apply(self, expr, args, evaluation):
"Manipulate[expr_, args__]"
if (not _jupyter) or (not Kernel.initialized()) or (Kernel.instance()
is None):
return evaluation.message("Manipulate", "jupyter")
instantiator = (_WidgetInstantiator()
) # knows about the arguments and their widgets
for arg in args.get_sequence():
try:
if not instantiator.add(
arg, evaluation): # not a valid argument pattern?
return
except IllegalWidgetArguments as e:
return evaluation.message("Manipulate", "widgetargs",
strip_context(str(e.var)))
except JupyterWidgetError as e:
return evaluation.message("Manipulate", "widgetmake", e.err)
clear_output_callback = evaluation.output.clear
display_data_callback = evaluation.output.display # for pushing updates
try:
clear_output_callback(wait=True)
except NotImplementedError:
return evaluation.message("Manipulate", "imathics")
def callback(**kwargs):
clear_output_callback(wait=True)
line_no = evaluation.definitions.get_line_no()
vars = [
Expression("Set", Symbol(name), value)
for name, value in kwargs.items()
]
evaluatable = Expression(
"ReleaseHold",
Expression("Module", Expression("List", *vars), expr))
result = evaluation.evaluate(evaluatable, timeout=settings.TIMEOUT)
if result:
display_data_callback(data=result.result, metadata={})
evaluation.definitions.set_line_no(
line_no
) # do not increment line_no for manipulate computations
widgets = instantiator.get_widgets()
if len(widgets) > 0:
box = _interactive(instantiator.build_callback(callback),
widgets) # create the widget
formatter = IPythonDisplayFormatter()
if not formatter(
box): # make the widget appear on the Jupyter notebook
return evaluation.message("Manipulate", "widgetdisp")
return Symbol(
"Null"
) # the interactive output is pushed via kernel.display_data_callback (see above)
def apply_name(self, expr, prop, evaluation):
"ElementData[expr_, prop_]"
if isinstance(expr, String):
py_name = expr.to_python(string_quotes=False)
names = ["StandardName", "Name", "Abbreviation"]
iprops = [_ELEMENT_DATA[0].index(s) for s in names]
indx = None
for iprop in iprops:
try:
indx = [element[iprop] for element in _ELEMENT_DATA[1:]
].index(py_name) + 1
except ValueError:
pass
if indx is None:
evaluation.message("ElementData", "noent", expr)
return
# Enter in the next if, but with expr being the index
expr = from_python(indx)
if isinstance(expr, Integer):
py_n = expr.value
py_prop = prop.to_python()
# Check element specifier n or "name"
if isinstance(py_n, int):
if not 1 <= py_n <= 118:
evaluation.message("ElementData", "noent", expr)
return
else:
evaluation.message("ElementData", "noent", expr)
return
# Check property specifier
if isinstance(py_prop, str):
py_prop = str(py_prop)
if py_prop == '"Properties"':
result = []
for i, p in enumerate(_ELEMENT_DATA[py_n]):
if p not in [
"NOT_AVAILABLE", "NOT_APPLICABLE", "NOT_KNOWN"
]:
result.append(_ELEMENT_DATA[0][i])
return from_python(sorted(result))
if not (isinstance(py_prop, str)
and py_prop[0] == py_prop[-1] == '"'
and py_prop.strip('"') in _ELEMENT_DATA[0]):
evaluation.message("ElementData", "noprop", prop)
return
iprop = _ELEMENT_DATA[0].index(py_prop.strip('"'))
result = _ELEMENT_DATA[py_n][iprop]
if result == "NOT_AVAILABLE":
return Expression("Missing", "NotAvailable")
if result == "NOT_APPLICABLE":
return Expression("Missing", "NotApplicable")
if result == "NOT_KNOWN":
return Expression("Missing", "Unknown")
result = evaluation.parse(result)
if isinstance(result, Symbol):
result = String(strip_context(result.get_name()))
return result
def get_completion_candidates(self, text):
matches = self.definitions.get_matching_names(text + '*')
if '`' not in text:
matches = [strip_context(m) for m in matches]
return matches
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
if self.numpy_name is None:
self.numpy_name = strip_context(self.get_name()).lower()
self.mathics_to_numpy[self.__class__.__name__] = self.numpy_name
def clear_definitions_cache(self, name) -> None:
definitions_cache = self.definitions_cache
tail = strip_context(name)
for k in self.proxy.pop(tail, []):
definitions_cache.pop(k, None)
def get_definition(self, name, only_if_exists=False) -> "Definition":
definition = self.definitions_cache.get(name, None)
if definition is not None:
return definition
original_name = name
name = self.lookup_name(name)
user = self.user.get(name, None)
pymathics = self.pymathics.get(name, None)
builtin = self.builtin.get(name, None)
candidates = [user] if user else []
builtin_instance = None
if pymathics:
builtin_instance = pymathics
candidates.append(pymathics)
if builtin:
candidates.append(builtin)
if builtin_instance is None:
builtin_instance = builtin
definition = candidates[0] if len(candidates) == 1 else None
if len(candidates) > 0 and not definition:
attributes = (user.attributes if user else
(pymathics.attributes if pymathics else
(builtin.attributes if builtin else set())))
upvalues = ([], )
messages = ([], )
nvalues = ([], )
defaultvalues = ([], )
options = {}
formatvalues = {
"": [],
}
# Merge definitions
its = [c for c in candidates]
while its:
curr = its.pop()
options.update(curr.options)
for form, rules in curr.formatvalues.items():
if form in formatvalues:
formatvalues[form].extend(rules)
else:
formatvalues[form] = rules
# Build the new definition
definition = Definition(
name=name,
ownvalues=sum((c.ownvalues for c in candidates), []),
downvalues=sum((c.downvalues for c in candidates), []),
subvalues=sum((c.subvalues for c in candidates), []),
upvalues=sum((c.upvalues for c in candidates), []),
formatvalues=formatvalues,
messages=sum((c.messages for c in candidates), []),
attributes=attributes,
options=options,
nvalues=sum((c.nvalues for c in candidates), []),
defaultvalues=sum((c.defaultvalues for c in candidates), []),
builtin=builtin_instance,
)
if definition is not None:
self.proxy[strip_context(original_name)].add(original_name)
self.definitions_cache[original_name] = definition
self.lookup_cache[original_name] = name
elif not only_if_exists:
definition = Definition(name=name)
if name[-1] != "`":
self.user[name] = definition
return definition
def apply(**kwargs): # will override apply method
kwargs["evaluation"].message(
"General", "pyimport", strip_context(self.get_name()), package # see inout.py
)
def apply(self, symbol, evaluation):
'SymbolName[symbol_Symbol]'
# MMA docs say "SymbolName always gives the short name,
# without any context"
return String(strip_context(symbol.get_name()))
def get_word_names(self: str):
names = self.definitions.get_names()
short_names = [strip_context(m) for m in names]
return list(names) + short_names
