fastencode


Namefastencode JSON
Version 1.4 PyPI version JSON
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home_pagehttps://github.com/user/reponame
SummaryAn easy way to use different encoding: bytes, hex, ascii array, binary, long, base64
upload_time2023-05-06 20:16:14
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docs_urlNone
authorES3
requires_python
licenseMIT
keywords encoding hex bytes binary representation decoding ascii base64
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            # Fast Encode - Encoding Made Easy

With Fast Encode you can create **a single object** that automatically uses many encoding types.

## Overview

The Fast Encode module provides the following features:

- A single object that abstracts the following encodings: hex, ascii array, string, bytes, binary and long number.
- Many helper functions that makes changing encoding easier.

## Getting Started

- [ ] First, you need to download it from pip. `pip install fastencode`

- [ ] Then import it to your project.

```python
from fastencode import DataObj as D
```

## Creating and Using an Object

For each encoding type, there is factory function that creates a DataObj object from it.
The factory functions are: `fromHex`, `fromAsc`, `fromStr`, `fromBin`, `fromNum` and `fromBytes`.

```python
plaintext = D.fromStr('secret_msg') # This creates a Data object from a plain string
key = D.fromHex('deadbeef1234')# This creates a Data object from hex
```

Printing the DataObj will show a lot of different encoding at once:

```python
print(f'Output - {plaintext}')

Output - Hex: 7365637265745f6d7367, Ascii: [115, 101, 99, 114, 101, 116, 95, 109, 115, 103],
  String: secret_msg, Number: 544942432582961455788903
  Binary: 01110011011001010110001101110010011001010111010001011111011011010111001101100111
```

We can get to a specific encoding by using the DataObj fields: `hex`, `asc`, `str`, `bytes`, `bin` and `num`.

```python
print(key.bytes)
# prints b'\xde\xad\xbe\xef\x124'

print(key.asc) # asc is shorthand for ascii, and is a list of integer of the indvidual ascii value of every byte.
# prints [222, 173, 190, 239, 18, 52]
```

## Simple XOR exmaple

Let's take a look at a simple example of XOR-ing 2 strings. We will see how simple it is to do with fastencode.

```python
from fastencode import DataObj as D

plaintext = D.fromStr('secret_msg')
key = D.fromStr('secret_key')

xored_integer_value = plaintext.num ^ key.num # ^ is the python operand for xor
print(xored_integer_value) # prints 398878

ciphertext = D.fromNum(xored_integer_value) # Creating another Data object from the result of the xor
print(ciphertext) # prints Hex: 6161e, ascii: [97, 97, 14], String: aa, Number: 398878 Binary: 011000010110000100001110
```

_Note: In the example the result is only 3-bytes long - as expected - because the first 7 bytes match and are therefore removed._

## Forking and Contribution Ideas

- Creating a genreal function that automatically detects the type of the encoding.
- Adding base64 and base32 encodings.

            

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    "description": "# Fast Encode - Encoding Made Easy\r\n\r\nWith Fast Encode you can create **a single object** that automatically uses many encoding types.\r\n\r\n## Overview\r\n\r\nThe Fast Encode module provides the following features:\r\n\r\n- A single object that abstracts the following encodings: hex, ascii array, string, bytes, binary and long number.\r\n- Many helper functions that makes changing encoding easier.\r\n\r\n## Getting Started\r\n\r\n- [ ] First, you need to download it from pip. `pip install fastencode`\r\n\r\n- [ ] Then import it to your project.\r\n\r\n```python\r\nfrom fastencode import DataObj as D\r\n```\r\n\r\n## Creating and Using an Object\r\n\r\nFor each encoding type, there is factory function that creates a DataObj object from it.\r\nThe factory functions are: `fromHex`, `fromAsc`, `fromStr`, `fromBin`, `fromNum` and `fromBytes`.\r\n\r\n```python\r\nplaintext = D.fromStr('secret_msg') # This creates a Data object from a plain string\r\nkey = D.fromHex('deadbeef1234')# This creates a Data object from hex\r\n```\r\n\r\nPrinting the DataObj will show a lot of different encoding at once:\r\n\r\n```python\r\nprint(f'Output - {plaintext}')\r\n\r\nOutput - Hex: 7365637265745f6d7367, Ascii: [115, 101, 99, 114, 101, 116, 95, 109, 115, 103],\r\n  String: secret_msg, Number: 544942432582961455788903\r\n  Binary: 01110011011001010110001101110010011001010111010001011111011011010111001101100111\r\n```\r\n\r\nWe can get to a specific encoding by using the DataObj fields: `hex`, `asc`, `str`, `bytes`, `bin` and `num`.\r\n\r\n```python\r\nprint(key.bytes)\r\n# prints b'\\xde\\xad\\xbe\\xef\\x124'\r\n\r\nprint(key.asc) # asc is shorthand for ascii, and is a list of integer of the indvidual ascii value of every byte.\r\n# prints [222, 173, 190, 239, 18, 52]\r\n```\r\n\r\n## Simple XOR exmaple\r\n\r\nLet's take a look at a simple example of XOR-ing 2 strings. We will see how simple it is to do with fastencode.\r\n\r\n```python\r\nfrom fastencode import DataObj as D\r\n\r\nplaintext = D.fromStr('secret_msg')\r\nkey = D.fromStr('secret_key')\r\n\r\nxored_integer_value = plaintext.num ^ key.num # ^ is the python operand for xor\r\nprint(xored_integer_value) # prints 398878\r\n\r\nciphertext = D.fromNum(xored_integer_value) # Creating another Data object from the result of the xor\r\nprint(ciphertext) # prints Hex: 6161e, ascii: [97, 97, 14], String: aa, Number: 398878 Binary: 011000010110000100001110\r\n```\r\n\r\n_Note: In the example the result is only 3-bytes long - as expected - because the first 7 bytes match and are therefore removed._\r\n\r\n## Forking and Contribution Ideas\r\n\r\n- Creating a genreal function that automatically detects the type of the encoding.\r\n- Adding base64 and base32 encodings.\r\n",
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ES3
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