Datasets:
thisisanshgupta
/
Pycode

Dataset card Data Studio Files
xet
Community
text
stringlengths
0
828
field_names = set()
all_fields = []
for name in dir(cls):
fld = getattr(cls, name)
if fld and isinstance(fld, Field):
fld.name = name
all_fields.append(fld)
field_names.add(name)
def add_missing_field(name, default='', insert_pos=None):
if name not in field_names:
fld = Field(default=default)
fld.name = name
all_fields.insert(
len(all_fields) if insert_pos is None else insert_pos,
fld
)
add_missing_field('id', insert_pos=0)
add_missing_field('_create_date')
add_missing_field('_last_update')
if versioning == VersioningTypes.DELTA_HISTORY:
add_missing_field('_version_hist', default=list)
# Things we count on as part of our processing
cls.__table_name__ = table_name
cls.__versioning__ = versioning
cls.__fields__ = all_fields
# Give them a ctor for free - but make sure we aren't clobbering one
if not ctor_overridable(cls):
raise TypeError(
'Classes with user-supplied __init__ should not be decorated '
'with DBObject. Use the setup method'
)
cls.__init__ = _auto_init
# Duck-type the class for our data methods
cls.get_table_name = classmethod(_get_table_name)
cls.get_id = _get_id
cls.set_id = _set_id
cls.to_data = _to_data
cls.from_data = classmethod(_from_data)
cls.index_names = classmethod(_index_names)
cls.indexes = _indexes
# Bonus methods they get for using gludb.simple
cls.get_version_hist = _get_version_hist
# Register with our abc since we actually implement all necessary
# functionality
Storable.register(cls)
# And now that we're registered, we can also get the database
# read/write functionality for free
cls = DatabaseEnabled(cls)
if versioning == VersioningTypes.DELTA_HISTORY:
cls.save = _delta_save(cls.save)
return cls
return wrapped"
548,"def get_default_val(self):
""""""Helper to expand default value (support callables).""""""
val = self.default
while callable(val):
val = val()
return val"
549,"def train(self, data, target, **kwargs):
""""""
Used in the training phase. Override.
""""""
non_predictors = [i.replace("" "", ""_"").lower() for i in list(set(data['team']))] + [""team"", ""next_year_wins""]
self.column_names = [l for l in list(data.columns) if l not in non_predictors]
results, folds = self.cross_validate(data, non_predictors, **kwargs)
self.gather_results(results, folds, data)"
550,"def compile(self, code):
""""""
Compile a simex code (e.g. <a href=""{{ url }}"">{{ anything }}</a>) to regex.
Returns regex.
""""""
is_plain_text = True
compiled_regex = r""""
for chunk in self.delimiter_regex().split(code):
if is_plain_text:
compiled_regex = compiled_regex + simex_escape(chunk, flexible_whitespace=self._flexible_whitespace)
else:
stripped_chunk = chunk.strip()
if stripped_chunk in self._regexes.keys():
compiled_regex = u""{0}{1}"".format(
compiled_regex,
self._regexes[stripped_chunk]
)
else:
raise KeyNotFound(""'{0}' not found in keys"")
is_plain_text = not is_plain_text
if self._exact:
compiled_regex = r""^"" + compiled_regex + r""$""