Improve Code Style and Adherence to Python Conventions

[neofomo]

Description

The codebase would benefit from improved adherence to Python coding conventions (PEP 8) and better code organization. This includes consistent naming conventions, proper docstrings, and organization of imports.

Specific Issues

1. Inconsistent naming: mixture of camelCase (forward_c, expertCoef) and snake_case (copy_blocks_num)
2. Missing docstrings for most classes and methods
3. Disorganized imports (standard library, third-party, and local imports not grouped)
4. Some overly long lines exceeding recommended 79-88 character limits
5. Inconsistent spacing and indentation in some areas

Example from pixart_relactrl_v1.py:

def t2i_modulate(x, shift, scale):
    return x * (1 + scale) + shift

# Missing docstring, inconsistent naming (camelCase)
def distribute_dim_4_TDSM_token(dim, n, num_heads=4, multi=False, decay_factor=0.9):
    base_dim = dim // n
    remainder = dim % n
    dim_list = [base_dim + 1 if i < remainder else base_dim for i in range(n)]

Proposed Solution

1. Apply consistent naming conventions (preferably snake_case as per PEP 8)
2. Add comprehensive docstrings to all classes and methods
3. Organize imports according to PEP 8 (standard library, third-party, local)
4. Format code to follow line length limits
5. Consider using tools like Black, isort, and Flake8 to automate code style enforcement