def __setitem__(self, key, value): if len(self): if value.duration != self.duration: raise AssertionError("duration does not match") if value.fs != self.fs: raise AssertionError("fs does not match") UserDict.__setitem__(self, key, value)
def __setitem__(self, key, item): if key == None: raise Exception('I don\'t know how to handle None as a key.') UserDict.__setitem__(self, key, item) if self._preferred_order and key in self._preferred_order: self._keys[self._preferred_order.index(key)] = key elif key not in self._keys: self._keys.append(key)
def __setitem__(self, key, value): self.modified = True log.debug("Setting key '%s' to value '%s'" % (key, value)) if key.startswith("_"): self.internal_data[key] = value else: UserDict.__setitem__(self, key, value)
def __setitem__(self, key, value): if key not in self.__dict__: self.__keys__.append(key) self.__sorted__ = False UserDict.__setitem__(self, key, value)
def insert(self, Key, Newkey, Newvalue, Order): Index = self._key_list.index(Key) if Order == 'BEFORE': self._key_list.insert(Index, Newkey) IterableUserDict.__setitem__(self, Newkey, Newvalue) elif Order == 'AFTER': self._key_list.insert(Index + 1, Newkey) IterableUserDict.__setitem__(self, Newkey, Newvalue)
def __setitem__(self, key, value): """ Add an item to attributes (by name or id) """ try: code, name = self.__getkeys(key) values = self.get(code, []) values.append(value) UserDict.__setitem__(self, code, values) except KeyError: LOGGER.warning('Invalid radius attribute: %s' % key)
def __setitem__(self, key, value): self.update_size() # If this is the first column added, we must create an index column. add_index = False if self._empty: add_index = True # Set a single row in the dataframe using a dict of values if type(key) == int: for k in self.data.keys(): if isinstance(self.data[k], ak.Strings): raise ValueError( "This DataFrame has a column of type ak.Strings;" " so this DataFrame is immutable. This feature could change" " if arkouda supports mutable Strings in the future.") if self._empty: raise ValueError( "Initial data must be dict of arkouda arrays.") elif not isinstance(value, (dict, UserDict)): raise ValueError("Expected dict or Row type.") elif key >= self._size: raise KeyError("The row index is out of range.") else: for k, v in value.items(): if k == 'index': continue self[k][key] = v # Set a single column in the dataframe using a an arkouda array elif type(key) == str: if not isinstance(value, self.COLUMN_CLASSES): raise ValueError( f"Column must be one of {self.COLUMN_CLASSES}.") elif self._size is not None and self._size != value.size: raise ValueError( "Expected size {} but received size {}.".format( self.size, value.size)) else: self._empty = False UserDict.__setitem__(self, key, value) # Update the index values if key not in self._columns: self._columns.append(key) # Do nothing and return if there's no valid data else: raise ValueError("No valid data received.") # Update the dataframe indices and metadata. if add_index: self.update_size() self.data['index'] = ak.arange(0, self._size, 1)
def __setitem__(self, option, value): """ Setting an option. Do nothing if the option's value is None, so an option with a default value not None, cannot be assigned with None. """ if value is None: return if option in self: del self[option] else: raise KeyError("Key {0} not in options".format(option)) UserDict.__setitem__(self, option, value)
def __setitem__(self, key, value): """ Add an item to attributes (by name or id) """ try: code, name = self.__getkeys(key) except KeyError: raise ValueError('Unknown radius attribute: %s' % key) if name is None: LOGGER.warning('Unknown radius attribute code %s' % code) values = self.get(code, []) values.append(value) UserDict.__setitem__(self, code, values)
def __setitem__(self, key, item): """ Parameters ---------- key: (Interface, Interface) item : object """ key = self._get_key(*key) # old-style class, no super return UserDict.__setitem__(self, key, item)
def __setitem__(self, key, value: Distance) -> None: current: Optional[Distance] = self.get(key, None) if current is not None and value.aggregated > current.aggregated: return None UserDict.__setitem__(self, key, value)
def __setitem__(self, key: str, value: Union[SpanGroup, Iterable["Span"]]) -> None: if not isinstance(value, SpanGroup): value = self._make_span_group(key, value) assert value.doc is self.doc_ref() UserDict.__setitem__(self, key, value)
def __init__(self, initialdata=None): super().__init__() if isinstance(initialdata, DataFrame): # Copy constructor self._size = initialdata._size self._bytes = initialdata._bytes self._empty = initialdata._empty self._columns = initialdata._columns self.data = initialdata.data self.update_size() return # Some metadata about this dataframe. self._size = 0 self._bytes = 0 self._empty = True # Initial attempts to keep an order on the columns self._columns = ['index'] self.data['index'] = None # Add data to the DataFrame if there is any if initialdata is not None: # Used to prevent uneven array length in initialization. sizes = set() # Initial data is a dictionary of arkouda arrays if type(initialdata) == dict: for key, val in initialdata.items(): if not isinstance(val, self.COLUMN_CLASSES): raise ValueError( f"Values must be one of {self.COLUMN_CLASSES}.") sizes.add(val.size) if len(sizes) > 1: raise ValueError("Input arrays must have equal size.") self._empty = False UserDict.__setitem__(self, key, val) # Update the column index if key != 'index': self._columns.append(key) # Initial data is a list of arkouda arrays elif type(initialdata) == list: # Create string IDs for the columns keys = [str(x) for x in range(len(initialdata))] for key, col in zip(keys, initialdata): if not isinstance(col, self.COLUMN_CLASSES): raise ValueError( f"Values must be one of {self.COLUMN_CLASSES}.") sizes.add(col.size) if len(sizes) > 1: raise ValueError("Input arrays must have equal size.") self._empty = False UserDict.__setitem__(self, key, col) # Update the column index self._columns.append(key) # Initial data is invalid. else: raise ValueError( f"Initialize with dict or list of {self.COLUMN_CLASSES}.") # Update the dataframe indices and metadata. if len(sizes) > 0: self._size = sizes.pop() # If the index column was passed in, use that instead of # creating a new one. if self.data['index'] is None: self.data['index'] = ak.arange(0, self._size, 1) self.update_size()
def set(self, key, value): UserDict.__setitem__(self, key, value)
def __setitem__(self, key, value): self.parent.updateItem(self.instance, key, value) UserDict.__setitem__(self, key, value)
def __getitem__(self, item): if item not in self: value = PmfStatDict() UserDict.__setitem__(self, item, value) return UserDict.__getitem__(self, item)
def __setitem__(self, key, value): data = base64.b64encode(pickle.dumps(value)).decode('ascii') return UserDict.__setitem__(self, key, data)
def __setitem__(self, key, value): self.parent.updateItem(self.instance, key, value) if value or not self.autoDelete: UserDict.__setitem__(self, key, value) elif UserDict.__contains__(self, key): UserDict.__delitem__(self, key)
def __setitem__(self, key, value): UserDict.__setitem__(self, PBXType.Convert(key), PBXType.Convert(value))
def __setitem__(self, Key, Value): if Key not in self._key_list: self._key_list.append(Key) IterableUserDict.__setitem__(self, Key, Value)
def append(self, Sdict2): for Key in Sdict2: if Key not in self._key_list: self._key_list.append(Key) IterableUserDict.__setitem__(self, Key, Sdict2[Key])
def __setitem__(self, name, converter): self._validate(name) UserDict.__setitem__(self, name, converter)
def __setitem__(self, key, item): UserDict.__setitem__(self, key, item) if key not in self._keys: self._keys.append(key)
def __setitem__(self, key, val): if key in self.special_keys: raise NotImplementedError("Can't explicitly set {key}".format(key=key)) return UserDict.__setitem__(self, key, val)
def insert(self, index, key, item): if key not in self._keys: self._keys.insert(index, key) UserDict.__setitem__(self, key, item)
def __setitem__(self, key, value): UserDict.__setitem__(self, key, value) value.channelid = key