# StringTable

Source: https://www.tensorplay.cn/docs/generated/tensorplay.autograd.profiler_util.StringTable.html

```python
class tensorplay.autograd.profiler_util.StringTable
```

```python
clear() → None.  Remove all items from D.
```

```python
copy() → a shallow copy of D.
```

```python
default_factory
```

Factory for default value called by __missing__().

```python
classmethod fromkeys(iterable, value=None, /)
```

Create a new dictionary with keys from iterable and values set to value.

```python
get(key, default=None, /)
```

Return the value for key if key is in the dictionary, else default.

```python
items() → a set-like object providing a view on D's items
```

```python
keys() → a set-like object providing a view on D's keys
```

```python
pop(k[, d]) → v, remove specified key and return the corresponding value.
```

If the key is not found, return the default if given; otherwise,
raise a KeyError.

```python
popitem()
```

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order.
Raises KeyError if the dict is empty.

```python
setdefault(key, default=None, /)
```

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

```python
update([E, ]**F) → None.  Update D from mapping/iterable E and F.
```

If E is present and has a .keys() method, then does:  for k in E.keys(): D[k] = E[k]
If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
In either case, this is followed by: for k in F:  D[k] = F[k]

```python
values() → an object providing a view on D's values
```