from math import modf # fuck me rounding is hard # header map # https://wiki.multimedia.cx/index.php/CRI_ADX_file MAGIC_OFF = 0x00 MAGIC_LEN = 2 MAGIC = 0x8000 DATA_OFF_OFF = 0x02 DATA_OFF_LEN = 2 DATA_OFF_MIN = 0x38 FORMAT_OFF = 0x04 FORMAT_LEN = 1 FORMAT = 3 # always 3 for adx apparently LOOP_TYPE_OFF = 0x12 LOOP_TYPE_LEN = 1 LOOP_TYPE_SUP = [4] # supported loop styles SRATE_OFF = 0x08 SRATE_LEN = 4 SCOUNT_OFF = 0x0C SCOUNT_LEN = 4 CRYPT_OFF = 0x13 CRYPT_LEN = 1 LOOP4_FLAG_OFF = 0x24 LOOP4_FLAG_LEN = 4 LOOP4_START_OFF = 0x28 LOOP4_START_LEN = 4 LOOP4_END_OFF = 0x30 LOOP4_END_LEN = 4 # class independent functions def dumb_round(number): dec = modf(number)[0] if dec <= 0.5: return int(number) else: return int(number + 1) class adx_file(object): magic = 0 form = 0 l_style = 0 encrypted = 0 sam_rate = 0 sam_count = 0 l_flag = 0 l_start = 0 l_end = 0 l_exists = 0 d_offset = 0 is_valid = 0 data = None def __init__(self, data): # first, validate self.data = data self.magic = self.get_val(MAGIC_OFF, MAGIC_LEN) self.form = self.get_val(FORMAT_OFF, FORMAT_LEN) self.l_style = self.get_val(LOOP_TYPE_OFF, LOOP_TYPE_LEN) self.encrypted = self.get_val(CRYPT_OFF, CRYPT_LEN) self.d_offset = self.get_val(DATA_OFF_OFF, DATA_OFF_LEN) if self.d_offset < DATA_OFF_MIN: return None self.l_exists = 1 # now load things for math self.sam_rate = self.get_val(SRATE_OFF, SRATE_LEN) self.sam_count = self.get_val(SCOUNT_OFF, SCOUNT_LEN) self.validate() def get_val(self, offset, length): return int.from_bytes( self.data[offset : offset + length], byteorder="big", signed=False ) def validate(self): if self.magic != MAGIC: raise ValueError("Invalid ADX File") if self.form != FORMAT: raise ValueError("Invalid ADX File") if self.encrypted: raise NotImplementedError("Encryption Not Supported") self.is_valid = 1 def parse_loop_data(self): if self.l_style == 4: self.l_flag = self.get_val(LOOP4_FLAG_OFF, LOOP4_FLAG_LEN) self.l_start = self.get_val(LOOP4_START_OFF, LOOP4_START_LEN) self.l_end = self.get_val(LOOP4_END_OFF, LOOP4_END_LEN) if not self.l_flag: return None if self.l_start == 0 and self.l_end == self.sam_count: return None if self.l_start > self.sam_count or self.l_end > self.sam_count: raise ValueError("Invalid Loop Data") return None if self.l_style not in LOOP_TYPE_SUP: raise NotImplementedError( "Loop Style {} Not Implemented".format(str(self.l_style)) ) return None ret = {} ret["duration"] = self.sam_count / self.sam_rate ret["loop_start"] = {} ret["loop_start"]["seconds"] = self.l_start / self.sam_rate ret["loop_start"]["samples_native"] = self.l_start ret["loop_start"]["samples_48k"] = dumb_round( self.l_start / self.sam_rate * 48000 ) ret["loop_end"] = {} ret["loop_end"]["seconds"] = self.l_end / self.sam_rate ret["loop_end"]["samples_native"] = self.l_end ret["loop_end"]["samples_48k"] = dumb_round( self.l_end / self.sam_rate * 48000 ) return ret