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Fix hiding docs in attribute methods #36

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7 changes: 4 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ you can use this inspector **without installing anything**, in the same session.
Load it on the fly by pasting this snippet to your Python interpreter:
```python
import base64, zlib
code = b'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'
code = b'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'
exec(zlib.decompress(base64.b64decode(code)).decode(), globals())
```

Expand Down Expand Up @@ -75,16 +75,17 @@ This package has no external dependencies.
by using the division operator (for faster typing without parentheses).
A short syntax `wat / foo` is equivalent to `wat(foo)`.

You can call `wat.modifiers / foo` with the following **modifiers**:
You can call `wat.modifier / foo` with the following **modifiers**:

- `.short` or `.s` to hide the attributes (variables and methods inside the object)
and print only value, type, parent types, signature and documentation
- `.dunder` to display dunder attributes (starting with double underscore)
- `.code` to reveal the source code of a function, method, or class
- `.long` to show non-abbreviated values and docstrings
- `.nodocs` to hide documentation for functions and classes
- `.caller` to show how and where the inspection was called (works in files, not REPL)
- `.all` to include all available information
- `.ret` to return the inspected object
- `.ret` to return the object back after the inspection
- `.str` to return the output string instead of printing it
- `.gray` to disable colorful output in the console
- `.color` to enforce colorful outputs in the console
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