# Path: asammdf/types.py



from collections.abc import Iterator
from functools import lru_cache
from io import StringIO
from pathlib import Path
from random import randint
from struct import Struct
from tempfile import TemporaryDirectory
from typing import Any, Dict, overload, Tuple
from typing_extensions import Literal, TypedDict
    from cchardet import detect
        from chardet import detect
from canmatrix.canmatrix import CanMatrix
from numpy import arange, bool_, dtype, interp, where
from numpy.typing import NDArray
from pandas import Series
from . import v2_v3_constants as v3c
from . import v4_constants as v4c
from ..types import (
    ChannelType,
    DataGroupType,
    MDF_v2_v3_v4,
    RasterType,
    ReadableBufferType,
    StrPathType,
)
import logging
import re
import string
import subprocess
import sys
import xml.etree.ElementTree as ET
import canmatrix.formats
import numpy as np

            val = val.tobytes()[:size].hex().upper()
        else:
            val = val.tobytes().hex().upper()

        vals = [val[i : i + 2] for i in range(0, len(val), 2)]

        return " ".join(vals)


csv_bytearray2hex = np.vectorize(csv_bytearray2hex, otypes=[str])


def pandas_query_compatible(name: str) -> str:
    """adjust column name for usage in dataframe query string"""

    for c in ".$[]: ":
        name = name.replace(c, "_")

    if name.startswith(tuple(string.digits)):
        name = "file_" + name
    try:
        exec(f"from pandas import {name}")
    except ImportError:
        pass
    else:
        name = f"{name}__"
    return name


def load_can_database(

# Path: asammdf/types.py



# Path: asammdf/blocks/utils.py
from collections.abc import Iterator
from functools import lru_cache
from io import StringIO
from pathlib import Path
from random import randint
from struct import Struct
from tempfile import TemporaryDirectory
from typing import Any, Dict, overload, Tuple
from typing_extensions import Literal, TypedDict
    from cchardet import detect
        from chardet import detect
from canmatrix.canmatrix import CanMatrix
from numpy import arange, bool_, dtype, interp, where
from numpy.typing import NDArray
from pandas import Series
from . import v2_v3_constants as v3c
from . import v4_constants as v4c
from ..types import (
    ChannelType,
    DataGroupType,
    MDF_v2_v3_v4,
    RasterType,
    ReadableBufferType,
    StrPathType,
)
import logging
import re
import string
import subprocess
import sys
import xml.etree.ElementTree as ET
import canmatrix.formats
import numpy as np

            val = val.tobytes()[:size].hex().upper()
        else:
            val = val.tobytes().hex().upper()

        vals = [val[i : i + 2] for i in range(0, len(val), 2)]

        return " ".join(vals)


csv_bytearray2hex = np.vectorize(csv_bytearray2hex, otypes=[str])


def pandas_query_compatible(name: str) -> str:
    """adjust column name for usage in dataframe query string"""

    for c in ".$[]: ":
        name = name.replace(c, "_")

    if name.startswith(tuple(string.digits)):
        name = "file_" + name
    try:
        exec(f"from pandas import {name}")
    except ImportError:
        pass
    else:
        name = f"{name}__"
    return name


def load_can_database(

    path: StrPathType, contents: bytes | str | None = None, **kwargs
