# Path: chirp/common/timestamp.py
# _TIMESTAMP_FORMAT = "%Y%m%d-%H%M%S"
# _PRETTY_FORMAT = "%c"
# PROCESS_START_TIME = time.time()  # time of importing this file
# _MIN_REASONABLE_TIMESTAMP = parse_human_readable("20081130-000000")
# _MAX_REASONABLE_TIMESTAMP = parse_human_readable("20380119-000000")
# _SECONDS_PER_MINUTE = 60
# _SECONDS_PER_HOUR = 60 * _SECONDS_PER_MINUTE
# _SECONDS_PER_DAY = 24 * _SECONDS_PER_HOUR
# def now():
# def now_ms():
# def process_start_time_ms():
# def process_age_ms():
# def get_human_readable(ts=None):
# def get_human_readable_ms(ms_ts):
# def get_pretty(ts=None):
# def get_pretty_ms(ms_ts):
# def parse_human_readable(human_readable_str):
# def is_valid(ts):
# def get_human_readable_duration(duration_s):
#     def _pluralize(n, unit):
# def get_human_readable_duration_ms(duration_ms):
# 
# Path: chirp/common/unicode_util.py
# _CHARACTER_NORMALIZATIONS = {
#     u"Ø": "O",
#     u"ø": "o",
# }
# def simplify(text):
# 
# Path: chirp/library/artists.py
# _LIBRARY_DATA_PREFIX = os.path.join(ROOT_DIR, "library", "data")
# _WHITELIST_FILE = os.path.join(_LIBRARY_DATA_PREFIX, "artist-whitelist")
# _MAPPINGS_FILE = os.path.join(_LIBRARY_DATA_PREFIX, "artist-mappings")
# _MAPPINGS_SEP = u"\xbb\xbb\xbb"
# _BASE_SPLIT_PATTERN = (
#     r"\s*((feat\.?)|(ft\.)|(featuring)|(with)|(w/)|(and)|(&))"
#     r"\s+(?P<feat>.*)")
# _SPLIT_RES = [
#     re.compile(r"%s%s%s" % (a, _BASE_SPLIT_PATTERN, b), re.IGNORECASE)
#     for a, b in ((r"\(", r"\)"), (r"\[", r"\]"), ("", ""))]
#     MAX_DIST = 10
#     MAX_NORM_DIST = 0.25
# def all():
# def sort_key(artist_name):
# def _standardize_simple(artist_name, whitelist, mappings):
# def _standardize(artist_name, whitelist, mappings):
# def standardize(artist_name):
# def is_standardized(artist_name):
# def split(artist_name):
# def split_and_standardize(artist_name):
# def suggest(name):
# def _seq_to_whitelist(seq_of_names):
# def reset_artist_whitelist(seq_of_names):
# def _read_artist_whitelist_from_file(file_obj):
# def _read_artist_mappings_from_file(file_obj):
# def _init():
# def merge_whitelist_and_mappings(whitelist, raw_mappings):
# 
# Path: chirp/library/order.py
# _NUMBERING_RE = re.compile(r"^\s*(-?\d+)([^\d\-]+(-?\d+))?\s*$", re.UNICODE)
# _ARCHIVAL_RE = re.compile(r"^\d+/\d+$", re.UNICODE)
# class BadOrderError(Exception):
# def decode(text):
# def encode(order_num, total_num):
# def standardize_str(text):
# def _is_order_tag(tag):
# def standardize(tag):
# def is_archival(text):
# def verify_and_standardize_str_list(text_list):
# def verify_and_standardize(tag_list):


import time
import xml.sax.saxutils
from chirp.common import timestamp
from chirp.common import unicode_util
from chirp.library import artists
from chirp.library import order
            This volume will need to be visible to the PC running Traktor
            that the NML file will ultimately be used from.
          root_dir: The root directory of the library, as seen by the
            machine that is running Traktor.
          out_fh: The file handle to write to.
        """
        self.num_entries = 0
        self._file_volume = file_volume
        self._file_volume_quoted = _traktor_path_quote(file_volume)
        self._root_dir = root_dir
        self._out_fh = out_fh
        # Make sure we are at the beginning of the file.
        self._out_fh.seek(0)
        # Write out a prefix for 0 entries.
        self._out_fh.write(_NML_PREFIX % 0)
        self._all_entries = []

    def write(self, au_file):
        """Adds a an audio file to the collection.

        Args:
          au_file: An AudioFile object to add to the collection.
        """
        entry_data = {}

        entry_data["order_num"], entry_data["total_num"] = order.decode(
            str(au_file.mutagen_id3.get("TRCK")))
        if entry_data["total_num"] is None:
            entry_data["total_num"] = 100


# Path: chirp/common/timestamp.py
# _TIMESTAMP_FORMAT = "%Y%m%d-%H%M%S"
# _PRETTY_FORMAT = "%c"
# PROCESS_START_TIME = time.time()  # time of importing this file
# _MIN_REASONABLE_TIMESTAMP = parse_human_readable("20081130-000000")
# _MAX_REASONABLE_TIMESTAMP = parse_human_readable("20380119-000000")
# _SECONDS_PER_MINUTE = 60
# _SECONDS_PER_HOUR = 60 * _SECONDS_PER_MINUTE
# _SECONDS_PER_DAY = 24 * _SECONDS_PER_HOUR
# def now():
# def now_ms():
# def process_start_time_ms():
# def process_age_ms():
# def get_human_readable(ts=None):
# def get_human_readable_ms(ms_ts):
# def get_pretty(ts=None):
# def get_pretty_ms(ms_ts):
# def parse_human_readable(human_readable_str):
# def is_valid(ts):
# def get_human_readable_duration(duration_s):
#     def _pluralize(n, unit):
# def get_human_readable_duration_ms(duration_ms):
# 
# Path: chirp/common/unicode_util.py
# _CHARACTER_NORMALIZATIONS = {
#     u"Ø": "O",
#     u"ø": "o",
# }
# def simplify(text):
# 
# Path: chirp/library/artists.py
# _LIBRARY_DATA_PREFIX = os.path.join(ROOT_DIR, "library", "data")
# _WHITELIST_FILE = os.path.join(_LIBRARY_DATA_PREFIX, "artist-whitelist")
# _MAPPINGS_FILE = os.path.join(_LIBRARY_DATA_PREFIX, "artist-mappings")
# _MAPPINGS_SEP = u"\xbb\xbb\xbb"
# _BASE_SPLIT_PATTERN = (
#     r"\s*((feat\.?)|(ft\.)|(featuring)|(with)|(w/)|(and)|(&))"
#     r"\s+(?P<feat>.*)")
# _SPLIT_RES = [
#     re.compile(r"%s%s%s" % (a, _BASE_SPLIT_PATTERN, b), re.IGNORECASE)
#     for a, b in ((r"\(", r"\)"), (r"\[", r"\]"), ("", ""))]
#     MAX_DIST = 10
#     MAX_NORM_DIST = 0.25
# def all():
# def sort_key(artist_name):
# def _standardize_simple(artist_name, whitelist, mappings):
# def _standardize(artist_name, whitelist, mappings):
# def standardize(artist_name):
# def is_standardized(artist_name):
# def split(artist_name):
# def split_and_standardize(artist_name):
# def suggest(name):
# def _seq_to_whitelist(seq_of_names):
# def reset_artist_whitelist(seq_of_names):
# def _read_artist_whitelist_from_file(file_obj):
# def _read_artist_mappings_from_file(file_obj):
# def _init():
# def merge_whitelist_and_mappings(whitelist, raw_mappings):
# 
# Path: chirp/library/order.py
# _NUMBERING_RE = re.compile(r"^\s*(-?\d+)([^\d\-]+(-?\d+))?\s*$", re.UNICODE)
# _ARCHIVAL_RE = re.compile(r"^\d+/\d+$", re.UNICODE)
# class BadOrderError(Exception):
# def decode(text):
# def encode(order_num, total_num):
# def standardize_str(text):
# def _is_order_tag(tag):
# def standardize(tag):
# def is_archival(text):
# def verify_and_standardize_str_list(text_list):
# def verify_and_standardize(tag_list):


# Path: chirp/library/nml_writer.py
import time
import xml.sax.saxutils
from chirp.common import timestamp
from chirp.common import unicode_util
from chirp.library import artists
from chirp.library import order

            This volume will need to be visible to the PC running Traktor
            that the NML file will ultimately be used from.
          root_dir: The root directory of the library, as seen by the
            machine that is running Traktor.
          out_fh: The file handle to write to.
        """
        self.num_entries = 0
        self._file_volume = file_volume
        self._file_volume_quoted = _traktor_path_quote(file_volume)
        self._root_dir = root_dir
        self._out_fh = out_fh
        # Make sure we are at the beginning of the file.
        self._out_fh.seek(0)
        # Write out a prefix for 0 entries.
        self._out_fh.write(_NML_PREFIX % 0)
        self._all_entries = []

    def write(self, au_file):
        """Adds a an audio file to the collection.

        Args:
          au_file: An AudioFile object to add to the collection.
        """
        entry_data = {}

        entry_data["order_num"], entry_data["total_num"] = order.decode(
            str(au_file.mutagen_id3.get("TRCK")))
        if entry_data["total_num"] is None:
            entry_data["total_num"] = 100


        entry_data["artist"] = unicode_util.simplify(