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# Python memoryview

A `memoryview` is a built-in Python object that exposes the C-level buffer interface of another object. It provides zero-copy access to an object's internal data, allowing developers to read and modify contiguous memory arrays (such as `bytes`, `bytearray`, or `array.array`) directly without triggering memory reallocation or creating intermediate copies.

## Syntax

```python theme={"dark"}
view = memoryview(obj)
```

The `obj` passed to the constructor must support the Python buffer protocol.

## Core Mechanics

**Zero-Copy Slicing**
When you slice a standard Python byte string, Python allocates new memory and copies the data. When you slice a `memoryview`, Python returns a new `memoryview` instance that points to the specified offset of the original memory buffer.

```python theme={"dark"}
data = b'abcdefgh'
view = memoryview(data)


# Creates a new view of the same memory; no data is copied
slice_view = view[2:6] 
```

**Mutability**
A `memoryview` inherits the mutability of its underlying object. If the target object is immutable (e.g., `bytes`), the view is read-only. If the target object is mutable (e.g., `bytearray`), the view allows in-place memory modification.

```python theme={"dark"}
mutable_data = bytearray(b'hello')
view = memoryview(mutable_data)


# Modifies the underlying bytearray directly
view[0] = 74  # ASCII for 'J'
print(mutable_data)  # Output: bytearray(b'Jello')
```

## Key Attributes

A `memoryview` exposes several attributes that describe the underlying C array:

* `obj`: The original object the view is pointing to.
* `nbytes`: The total number of bytes the view represents.
* `readonly`: A boolean indicating whether the underlying buffer can be modified.
* `format`: A string indicating the C-type of the elements, using `struct` module syntax (e.g., `'B'` for unsigned char).
* `itemsize`: The size in bytes of each element.
* `shape`: A tuple indicating the length of the array in each dimension.
* `strides`: A tuple indicating the number of bytes to skip to access the next element in each dimension.

## Casting Memory Layouts

The `cast()` method allows you to reinterpret the underlying memory bytes as a different data type or shape without copying the data. This is strictly a reinterpretation of the C-level bytes.

```python theme={"dark"}
import array


# Array of 16-bit signed integers ('h')
arr = array.array('h', [1000, 2000, 3000])
view = memoryview(arr)


# Cast the 16-bit integer view to an 8-bit unsigned byte view ('B')
byte_view = view.cast('B')
```

## Buffer Management

Because a `memoryview` holds a reference to the underlying object's buffer, it prevents the object from being resized or garbage-collected. The `release()` method explicitly releases the buffer, invalidating the view and freeing the lock on the underlying object.

```python theme={"dark"}
view = memoryview(b'data')
view.release()


# Accessing view after release() raises a ValueError
```

Alternatively, `memoryview` supports the context manager protocol to handle buffer release automatically:

```python theme={"dark"}
with memoryview(b'data') as view:
    length = len(view)

# Buffer is automatically released when the block exits
```

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