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Returns:
The betacode equivalent of the inputted text where applicable.
""""""
u = _UNICODE_MAP
transform = []
for ch in text:
try:
conv = u[ch]
except KeyError:
conv = ch
transform.append(conv)
converted = ''.join(transform)
return converted"
743,"def __calculate_order(self, node_dict):
""""""
Determine a valid ordering of the nodes in which a node is not called before all of it's dependencies.
Raise an error if there is a cycle, or nodes are missing.
""""""
if len(node_dict.keys()) != len(set(node_dict.keys())):
raise DependencyTreeException(""Duplicate Keys Exist in node dictionary!"")
valid_order = [node for node, dependencies in node_dict.items() if len(dependencies) == 0]
remaining_nodes = [node for node in node_dict.keys() if node not in valid_order]
while len(remaining_nodes) > 0:
node_added = False
for node in remaining_nodes:
dependencies = [d for d in node_dict[node] if d not in valid_order]
if len(dependencies) == 0:
valid_order.append(node)
remaining_nodes.remove(node)
node_added = True
if not node_added:
# the tree must be invalid, as it was not possible to remove a node.
# it's hard to find all the errors, so just spit out the first one you can find.
invalid_node = remaining_nodes[0]
invalid_dependency = ', '.join(node_dict[invalid_node])
if invalid_dependency not in remaining_nodes:
raise DependencyTreeException(
""Missing dependency! One or more of ({dependency}) are missing for {dependant}."".format(
dependant=invalid_node, dependency=invalid_dependency))
else:
raise DependencyTreeException(""The dependency %s is cyclic or dependent on a cyclic dependency"" % invalid_dependency)
return valid_order"
744,"def read_input(self, filename, has_header=True):
""""""
filename is any filename, or something on which open() can be called
for example:
csv_input = CSVInput()
csv_input.read_input(""csvfile.csv"")
""""""
stream = open(filename)
reader = csv.reader(stream)
csv_data = []
for (i, row) in enumerate(reader):
if i==0:
if not has_header:
csv_data.append([str(i) for i in xrange(0,len(row))])
csv_data.append(row)
self.data = csv_data"
745,"def pprint_out(dct: Dict):
""""""
Utility methods to pretty-print a dictionary that is typically outputted by parsyfiles (an ordered dict)
:param dct:
:return:
""""""
for name, val in dct.items():
print(name + ':')
pprint(val, indent=4)"
746,"def warn_import_error(type_of_obj_support: str, caught: ImportError):
""""""
Utility method to print a warning message about failed import of some modules
:param type_of_obj_support:
:param caught:
:return:
""""""
msg = StringIO()
msg.writelines('Import Error while trying to add support for ' + type_of_obj_support + '. You may continue but '
'the associated parsers and converters wont be available : \n')
traceback.print_tb(caught.__traceback__, file=msg)
msg.writelines(str(caught.__class__.__name__) + ' : ' + str(caught) + '\n')
warn(msg.getvalue())"
747,"def create_parser_options(lazy_mfcollection_parsing: bool = False) -> Dict[str, Dict[str, Any]]:
""""""
Utility method to create a default options structure with the lazy parsing inside
:param lazy_mfcollection_parsing:
:return: the options structure filled with lazyparsing option (for the MultifileCollectionParser)
""""""
return {MultifileCollectionParser.__name__: {'lazy_parsing': lazy_mfcollection_parsing}}"
748,"def add_parser_options(options: Dict[str, Dict[str, Any]], parser_id: str, parser_options: Dict[str, Dict[str, Any]],
overwrite: bool = False):
""""""
Utility method to add options for a given parser, to the provided options structure
:param options: