this collection of codes is meant to be a growing library of tools and small apps for reusability. if it can be applied more than once, it's getting thrown in here.

lang

normalizing language for machine learning and quantum plotting

""" 
converts a 1-dimensional list to a 2-dimensional one, for plotting 3D coordinates """
def plot_2d(arr: list) -> list

""" 
convert a 1 dimensional list to a 2 dimensional one, for plotting 2D coordinates """
def plot_3d(arr: list) -> list

"""
using a natural language model (NLTK), converting text into a list of normalized number values
"""
def normalize_str(s: str, t_min=-1, t_max=1) -> list

""" 
bring an array of number values within a bounds constraint 
"""
def normalize_arr(arr: list, t_min=-1, t_max=1) -> list

an example:

plot = plots_3d(normalize_str(phrases['long_sentences'][0], t_min=0, t_max=9))  
plot2 = plots_3d(normalize_str(phrases['long_sentences'][1], t_min=-1, t_max=1))  
print(plot)  
print(plot2)

produces:

[[8.096843924804473, 6.947965652638584, 0.42273776792798096], [5.138550513367767, 5.012731974240862, 0.42862722056567554], [4.653967865359287, 0.48231160612554413, 8.71938156857367], [8.714223022138325, 0.015702012070459105, 4.8385553544813975], [0.6599462700191603, 5.9970577429550085, 8.08248159573283], [6.239993329482605, 5.836915325661324, 7.814023666972756], [1.284120143791817, 3.3245180363086466, 0.0], [6.055784050504046, 7.3851053980474894, 0.18421874076955377], [9.0, 5.692570345973751, 7.038084172689894], [7.986155091376567, 4.040384652765208, 0]]

...

[[0.11405389252307119, 0.4587381913012396, 0.8868128445201044], [-0.05505694342822465, -0.6066624012663495, -0.6326213787235562], [0.7978999549766348, -0.794050860646101, 0.2264911620687271], [-0.5843822589647198, -0.8255583555137633, 0.17183784735419394], [0.4829137354855815, -1.0, -0.8552494787206317], [-0.66754430103652, -0.8536306049566738, -0.18424649710895968], [-0.8140191062313222, -0.969932376165421, -0.7029154667778896], [1.0, 0.9956103618426784, 0.6736560772787044]]

hashies

turn bytes into big endian 64 bit data types

def big_end_int_64(data: bytes) -> int:

def big_end_bytes_64(data: bytes) -> bytes:

def big_end_str_64(d: bytes) -> str:

def big_end_hex_64(d: bytes) -> str: