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31,558 | laspy.lasreader | __exit__ | null | def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
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|
31,559 | laspy.lasreader | __init__ |
Initialize the LasReader
Parameters
----------
source: file_object
closefd: bool, default True
laz_backend: LazBackend or list of LazBackend, optional
read_evlrs: bool, default True
only applies to __init__ phase, and for files
that support evlrs
decompression_selection: optional, DecompressionSelection
Selection of fields to decompress, only works form point format >= 6 <= 10
Ignored on other point formats
.. versionadded:: 2.4
The ``read_evlrs`` and ``decompression_selection`` parameters.
| def __init__(
self,
source: BinaryIO,
closefd: bool = True,
laz_backend: Optional[Union[LazBackend, Iterable[LazBackend]]] = None,
read_evlrs: bool = True,
decompression_selection: DecompressionSelection = DecompressionSelection.all(),
):
"""
Initialize the LasReader
Parameters
----------
source: file_object
closefd: bool, default True
laz_backend: LazBackend or list of LazBackend, optional
read_evlrs: bool, default True
only applies to __init__ phase, and for files
that support evlrs
decompression_selection: optional, DecompressionSelection
Selection of fields to decompress, only works form point format >= 6 <= 10
Ignored on other point formats
.. versionadded:: 2.4
The ``read_evlrs`` and ``decompression_selection`` parameters.
"""
self.closefd = closefd
if laz_backend is None:
laz_backend = LazBackend.detect_available()
self.laz_backend = laz_backend
self.header = LasHeader.read_from(source, read_evlrs=read_evlrs)
self.decompression_selection = decompression_selection
# The point source is lazily instanciated.
# Because some reader implementation may
# read informations that require to seek towards the end of
# the file (eg: chunk table), and we prefer to limit opening
# to reading the header
self._point_source: Optional["IPointReader"] = None
self._source = source
self.points_read = 0
| (self, source: <class 'BinaryIO'>, closefd: bool = True, laz_backend: Union[laspy._compression.backend.LazBackend, Iterable[laspy._compression.backend.LazBackend], NoneType] = None, read_evlrs: bool = True, decompression_selection: laspy._compression.selection.DecompressionSelection = <DecompressionSelection.ALL_EXTRA_BYTES|WAVEPACKET|NIR|RGB|GPS_TIME|POINT_SOURCE_ID|USER_DATA|SCAN_ANGLE|INTENSITY|FLAGS|CLASSIFICATION|Z|XY_RETURNS_CHANNEL: 8191>) | [
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|
31,560 | laspy.lasreader | _create_laz_backend | Creates the laz backend to use according to `self.laz_backend`.
If `self.laz_backend` contains mutilple backends, this functions will
try to create them in order until one of them is successfully constructed.
If none could be constructed, the error of the last backend tried wil be raised
| def _create_laz_backend(self, source) -> IPointReader:
"""Creates the laz backend to use according to `self.laz_backend`.
If `self.laz_backend` contains mutilple backends, this functions will
try to create them in order until one of them is successfully constructed.
If none could be constructed, the error of the last backend tried wil be raised
"""
if not self.laz_backend:
raise errors.LaspyException(
"No LazBackend selected, cannot decompress data"
)
try:
backends = iter(self.laz_backend)
except TypeError:
backends = (self.laz_backend,)
last_error: Optional[Exception] = None
for backend in backends:
try:
if not backend.is_available():
raise errors.LaspyException(f"The '{backend}' is not available")
reader: IPointReader = backend.create_reader(
source,
self.header,
decompression_selection=self.decompression_selection,
)
except Exception as e:
last_error = e
logger.error(e)
else:
self.header.vlrs.pop(self.header.vlrs.index("LasZipVlr"))
return reader
raise last_error
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|
31,561 | laspy.lasreader | _create_point_source | null | def _create_point_source(self, source) -> IPointReader:
if self.header.point_count > 0:
if self.header.are_points_compressed:
point_source = self._create_laz_backend(source)
if point_source is None:
raise errors.LaspyException(
"Data is compressed, but no LazBacked could be initialized"
)
return point_source
else:
return UncompressedPointReader(source, self.header)
else:
return EmptyPointReader()
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|
31,562 | laspy.lasreader | chunk_iterator | Returns an iterator, that will read points by chunks
of the requested size
:param points_per_iteration: number of points to be read with each iteration
:return:
| def chunk_iterator(self, points_per_iteration: int) -> "PointChunkIterator":
"""Returns an iterator, that will read points by chunks
of the requested size
:param points_per_iteration: number of points to be read with each iteration
:return:
"""
return PointChunkIterator(self, points_per_iteration)
| (self, points_per_iteration: int) -> laspy.lasreader.PointChunkIterator | [
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|
31,563 | laspy.lasreader | close | closes the file object used by the reader | def close(self) -> None:
"""closes the file object used by the reader"""
if self.closefd:
# We check the actual source,
# to avoid creating it, just to close it
if self._point_source is not None:
self._point_source.close()
else:
self._source.close()
| (self) -> NoneType | [
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|
31,564 | laspy.lasreader | read |
Reads all the points that are not read and returns a LasData object
This will also read EVLRS
| def read(self) -> LasData:
"""
Reads all the points that are not read and returns a LasData object
This will also read EVLRS
"""
points = self.read_points(-1)
las_data = LasData(header=self.header, points=points)
shall_read_evlr = (
self.header.version.minor >= 4
and self.header.number_of_evlrs > 0
and self.evlrs is None
)
if shall_read_evlr:
# If we have to read evlrs by now, it either means:
# - the user asked for them not to be read during the opening phase.
# - and/or the stream is not seekable, thus they could not be read during opening phase
#
if self.point_source.source.seekable():
self.read_evlrs()
else:
# In that case we are still going to
# try to read the evlrs by relying on the fact that they should generally be
# right after the last point, which is where we are now.
if self.header.are_points_compressed:
if not isinstance(self.point_source, LazrsPointReader):
raise errors.LaspyException(
"Reading EVLRs from a LAZ in a non-seekable stream "
"can only be done with lazrs backend"
)
# Few things: If the stream is non seekable, only a LazrsPointReader
# could have been created (parallel requires ability to seek)
#
# Also, to work, the next lines of code assumes that:
# 1) We actually are just after the last point
# 2) The chunk table _starts_ just after the last point
# 3) The first EVLR starts just after the chunk table
# These assumptions should be fine for most of the cases
# and non seekable sources are probably not that common
_ = self.point_source.read_chunk_table_only()
# Since the LazrsDecompressor uses a buffered reader
# the python file object's position is not at the position we
# think it is.
# So we have to read data from the decompressor's
# buffered stream.
class LocalReader:
def __init__(self, source: LazrsPointReader) -> None:
self.source = source
def read(self, n: int) -> bytes:
return self.source.read_raw_bytes(n)
self.evlrs = VLRList.read_from(
LocalReader(self.point_source),
self.header.number_of_evlrs,
extended=True,
)
else:
# For this to work, we assume that the first evlr
# start just after the last point
self.header.evlrs = VLRList.read_from(
self.point_source.source,
self.header.number_of_evlrs,
extended=True,
)
return las_data
| (self) -> laspy.lasdata.LasData | [
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|
31,565 | laspy.lasreader | read_evlrs | null | def read_evlrs(self):
self.header.read_evlrs(self._source)
| (self) | [
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|
31,566 | laspy.lasreader | read_points | Read n points from the file
Will only read as many points as the header advertise.
That is, if you ask to read 50 points and there are only 45 points left
this function will only read 45 points.
If there are no points left to read, returns an empty point record.
Parameters
----------
n: The number of points to read
if n is less than 0, this function will read the remaining points
| def read_points(self, n: int) -> record.ScaleAwarePointRecord:
"""Read n points from the file
Will only read as many points as the header advertise.
That is, if you ask to read 50 points and there are only 45 points left
this function will only read 45 points.
If there are no points left to read, returns an empty point record.
Parameters
----------
n: The number of points to read
if n is less than 0, this function will read the remaining points
"""
points_left = self.header.point_count - self.points_read
if points_left <= 0:
return record.ScaleAwarePointRecord.empty(
self.header.point_format,
self.header.scales,
self.header.offsets,
)
if n < 0:
n = points_left
else:
n = min(n, points_left)
r = record.PackedPointRecord.from_buffer(
self.point_source.read_n_points(n), self.header.point_format
)
if len(r) < n:
logger.error(f"Could only read {len(r)} of the requested {n} points")
points = record.ScaleAwarePointRecord(
r.array, r.point_format, self.header.scales, self.header.offsets
)
self.points_read += n
return points
| (self, n: int) -> laspy.point.record.ScaleAwarePointRecord | [
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|
31,567 | laspy.lasreader | seek | Seeks to the start of the point at the given pos
Parameters
----------
pos: index of the point to seek to
whence: optional, controls how the pos parameter is interpreted:
io.SEEK_SET: (default) pos is the index of the point from the beginning
io.SEEK_CUR: pos is the point_index relative to the point_index of the last point read
io.SEEK_END: pos is the point_index relative to last point
Returns
-------
The index of the point the reader seeked to, relative to the first point
| def seek(self, pos: int, whence: int = io.SEEK_SET) -> int:
"""Seeks to the start of the point at the given pos
Parameters
----------
pos: index of the point to seek to
whence: optional, controls how the pos parameter is interpreted:
io.SEEK_SET: (default) pos is the index of the point from the beginning
io.SEEK_CUR: pos is the point_index relative to the point_index of the last point read
io.SEEK_END: pos is the point_index relative to last point
Returns
-------
The index of the point the reader seeked to, relative to the first point
"""
if whence == io.SEEK_SET:
allowed_range = range(0, self.header.point_count)
point_index = pos
elif whence == io.SEEK_CUR:
allowed_range = range(
-self.points_read, self.header.point_count - self.points_read
)
point_index = self.points_read + pos
elif whence == io.SEEK_END:
allowed_range = range(-self.header.point_count, 0)
point_index = self.header.point_count + pos
else:
raise ValueError(f"Invalid value for whence: {whence}")
if pos not in allowed_range:
whence_str = ["start", "current point", "end"]
raise IndexError(
f"When seeking from the {whence_str[whence]}, pos must be in {allowed_range}"
)
self.point_source.seek(point_index)
self.points_read = point_index
return point_index
| (self, pos: int, whence: int = 0) -> int | [
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|
31,568 | laspy.laswriter | LasWriter |
Allows to write a complete LAS/LAZ file to the destination.
| class LasWriter:
"""
Allows to write a complete LAS/LAZ file to the destination.
"""
def __init__(
self,
dest: BinaryIO,
header: LasHeader,
do_compress: Optional[bool] = None,
laz_backend: Optional[Union[LazBackend, Iterable[LazBackend]]] = None,
closefd: bool = True,
encoding_errors: str = "strict",
) -> None:
"""
Parameters
----------
dest: file_object
file object where the LAS/LAZ will be written
header: LasHeader
The header of the file to be written
do_compress: bool, optional
Whether the file data should be written as LAS (uncompressed)
or LAZ (compressed).
If None, the file won't be compressed, unless a laz_backend is provided
laz_backend: LazBackend or list of LazBackend, optional
The LazBackend to use (or if it is a sequence the LazBackend to try)
for the compression
closefd: bool, default True
should the `dest` be closed when the writer is closed
encoding_errors: str, default 'strict'
How encoding errors should be treated.
Possible values and their explanation can be seen here:
https://docs.python.org/3/library/codecs.html#error-handlers.
"""
self.closefd = closefd
self.encoding_errors = encoding_errors
self.header = deepcopy(header)
# The point writer will take take of creating and writing
# the correct laszip vlr, however we have to make sure
# no prior laszip vlr exists
try:
self.header.vlrs.pop(header.vlrs.index("LasZipVlr"))
except ValueError:
pass
self.header.partial_reset()
self.dest = dest
self.done = False
dims.raise_if_version_not_compatible_with_fmt(
header.point_format.id, str(self.header.version)
)
if laz_backend is not None:
if do_compress is None:
do_compress = True
self.laz_backend = laz_backend
else:
if do_compress is None:
do_compress = False
self.laz_backend = LazBackend.detect_available()
self.header.are_points_compressed = do_compress
if do_compress:
self.point_writer: IPointWriter = self._create_laz_backend(self.laz_backend)
else:
self.point_writer: IPointWriter = UncompressedPointWriter(self.dest)
self.point_writer.write_initial_header_and_vlrs(
self.header, self.encoding_errors
)
def write_points(self, points: PackedPointRecord) -> None:
"""
.. note ::
If you are writing points coming from multiple different input files
into one output file, you have to make sure the point record
you write all use the same scales and offset of the writer.
You can use :meth:`.LasData.change_scaling` or :meth:`.ScaleAwarePointRecord.change_scaling`
to do that.
Parameters
----------
points: PackedPointRecord or ScaleAwarePointRecord
The points to be written
Raises
------
LaspyException
If the point format of the points does not match
the point format of the writer.
"""
if not points:
return
if self.done:
raise LaspyException("Cannot write points anymore")
if points.point_format != self.header.point_format:
raise LaspyException("Incompatible point formats")
if self.header.max_point_count() - self.header.point_count < len(points):
raise LaspyException(
"Cannot write {} points as it would exceed the maximum number of points the file"
"can store. Current point count: {}, max point count: {}".format(
len(points), self.header.point_count, self.header.max_point_count()
)
)
self.header.grow(points)
self.point_writer.write_points(points)
def write_evlrs(self, evlrs: VLRList) -> None:
"""Writes the EVLRs to the file
Parameters
----------
evlrs: VLRList
The EVLRs to be written
Raises
------
LaspyException
If the file's version is not >= 1.4
"""
if self.header.version.minor < 4:
raise LaspyException(
"EVLRs are not supported on files with version less than 1.4"
)
if len(evlrs) > 0:
self.point_writer.done()
self.done = True
self.header.number_of_evlrs = len(evlrs)
self.header.start_of_first_evlr = self.dest.tell()
evlrs.write_to(self.dest, as_extended=True)
def close(self) -> None:
"""Closes the writer.
flushes the points, updates the header, making it impossible
to write points afterwards.
"""
if self.point_writer is not None:
if not self.done:
self.point_writer.done()
if self.header.point_count == 0:
self.header.maxs = [0.0, 0.0, 0.0]
self.header.mins = [0.0, 0.0, 0.0]
self.point_writer.write_updated_header(self.header, self.encoding_errors)
if self.closefd:
self.dest.close()
self.done = True
def _create_laz_backend(
self, laz_backends: Union[LazBackend, Iterable[LazBackend]]
) -> "IPointWriter":
try:
laz_backends = iter(laz_backends)
except TypeError:
laz_backends = (laz_backends,)
last_error: Optional[Exception] = None
for backend in laz_backends:
try:
if not backend.is_available():
raise LaspyException(f"The '{backend}' is not available")
return backend.create_writer(self.dest, self.header)
except Exception as e:
logger.error(e)
last_error = e
if last_error is not None:
raise LaspyException(f"No LazBackend could be initialized: {last_error}")
else:
raise LaspyException("No LazBackend selected, cannot compress")
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
| (dest: <class 'BinaryIO'>, header: laspy.header.LasHeader, do_compress: Optional[bool] = None, laz_backend: Union[laspy._compression.backend.LazBackend, Iterable[laspy._compression.backend.LazBackend], NoneType] = None, closefd: bool = True, encoding_errors: str = 'strict') -> None | [
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|
31,571 | laspy.laswriter | __init__ |
Parameters
----------
dest: file_object
file object where the LAS/LAZ will be written
header: LasHeader
The header of the file to be written
do_compress: bool, optional
Whether the file data should be written as LAS (uncompressed)
or LAZ (compressed).
If None, the file won't be compressed, unless a laz_backend is provided
laz_backend: LazBackend or list of LazBackend, optional
The LazBackend to use (or if it is a sequence the LazBackend to try)
for the compression
closefd: bool, default True
should the `dest` be closed when the writer is closed
encoding_errors: str, default 'strict'
How encoding errors should be treated.
Possible values and their explanation can be seen here:
https://docs.python.org/3/library/codecs.html#error-handlers.
| def __init__(
self,
dest: BinaryIO,
header: LasHeader,
do_compress: Optional[bool] = None,
laz_backend: Optional[Union[LazBackend, Iterable[LazBackend]]] = None,
closefd: bool = True,
encoding_errors: str = "strict",
) -> None:
"""
Parameters
----------
dest: file_object
file object where the LAS/LAZ will be written
header: LasHeader
The header of the file to be written
do_compress: bool, optional
Whether the file data should be written as LAS (uncompressed)
or LAZ (compressed).
If None, the file won't be compressed, unless a laz_backend is provided
laz_backend: LazBackend or list of LazBackend, optional
The LazBackend to use (or if it is a sequence the LazBackend to try)
for the compression
closefd: bool, default True
should the `dest` be closed when the writer is closed
encoding_errors: str, default 'strict'
How encoding errors should be treated.
Possible values and their explanation can be seen here:
https://docs.python.org/3/library/codecs.html#error-handlers.
"""
self.closefd = closefd
self.encoding_errors = encoding_errors
self.header = deepcopy(header)
# The point writer will take take of creating and writing
# the correct laszip vlr, however we have to make sure
# no prior laszip vlr exists
try:
self.header.vlrs.pop(header.vlrs.index("LasZipVlr"))
except ValueError:
pass
self.header.partial_reset()
self.dest = dest
self.done = False
dims.raise_if_version_not_compatible_with_fmt(
header.point_format.id, str(self.header.version)
)
if laz_backend is not None:
if do_compress is None:
do_compress = True
self.laz_backend = laz_backend
else:
if do_compress is None:
do_compress = False
self.laz_backend = LazBackend.detect_available()
self.header.are_points_compressed = do_compress
if do_compress:
self.point_writer: IPointWriter = self._create_laz_backend(self.laz_backend)
else:
self.point_writer: IPointWriter = UncompressedPointWriter(self.dest)
self.point_writer.write_initial_header_and_vlrs(
self.header, self.encoding_errors
)
| (self, dest: <class 'BinaryIO'>, header: laspy.header.LasHeader, do_compress: Optional[bool] = None, laz_backend: Union[laspy._compression.backend.LazBackend, Iterable[laspy._compression.backend.LazBackend], NoneType] = None, closefd: bool = True, encoding_errors: str = 'strict') -> NoneType | [
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|
31,572 | laspy.laswriter | _create_laz_backend | null | def _create_laz_backend(
self, laz_backends: Union[LazBackend, Iterable[LazBackend]]
) -> "IPointWriter":
try:
laz_backends = iter(laz_backends)
except TypeError:
laz_backends = (laz_backends,)
last_error: Optional[Exception] = None
for backend in laz_backends:
try:
if not backend.is_available():
raise LaspyException(f"The '{backend}' is not available")
return backend.create_writer(self.dest, self.header)
except Exception as e:
logger.error(e)
last_error = e
if last_error is not None:
raise LaspyException(f"No LazBackend could be initialized: {last_error}")
else:
raise LaspyException("No LazBackend selected, cannot compress")
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|
31,573 | laspy.laswriter | close | Closes the writer.
flushes the points, updates the header, making it impossible
to write points afterwards.
| def close(self) -> None:
"""Closes the writer.
flushes the points, updates the header, making it impossible
to write points afterwards.
"""
if self.point_writer is not None:
if not self.done:
self.point_writer.done()
if self.header.point_count == 0:
self.header.maxs = [0.0, 0.0, 0.0]
self.header.mins = [0.0, 0.0, 0.0]
self.point_writer.write_updated_header(self.header, self.encoding_errors)
if self.closefd:
self.dest.close()
self.done = True
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|
31,574 | laspy.laswriter | write_evlrs | Writes the EVLRs to the file
Parameters
----------
evlrs: VLRList
The EVLRs to be written
Raises
------
LaspyException
If the file's version is not >= 1.4
| def write_evlrs(self, evlrs: VLRList) -> None:
"""Writes the EVLRs to the file
Parameters
----------
evlrs: VLRList
The EVLRs to be written
Raises
------
LaspyException
If the file's version is not >= 1.4
"""
if self.header.version.minor < 4:
raise LaspyException(
"EVLRs are not supported on files with version less than 1.4"
)
if len(evlrs) > 0:
self.point_writer.done()
self.done = True
self.header.number_of_evlrs = len(evlrs)
self.header.start_of_first_evlr = self.dest.tell()
evlrs.write_to(self.dest, as_extended=True)
| (self, evlrs: laspy.vlrs.vlrlist.VLRList) -> NoneType | [
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|
31,575 | laspy.laswriter | write_points |
.. note ::
If you are writing points coming from multiple different input files
into one output file, you have to make sure the point record
you write all use the same scales and offset of the writer.
You can use :meth:`.LasData.change_scaling` or :meth:`.ScaleAwarePointRecord.change_scaling`
to do that.
Parameters
----------
points: PackedPointRecord or ScaleAwarePointRecord
The points to be written
Raises
------
LaspyException
If the point format of the points does not match
the point format of the writer.
| def write_points(self, points: PackedPointRecord) -> None:
"""
.. note ::
If you are writing points coming from multiple different input files
into one output file, you have to make sure the point record
you write all use the same scales and offset of the writer.
You can use :meth:`.LasData.change_scaling` or :meth:`.ScaleAwarePointRecord.change_scaling`
to do that.
Parameters
----------
points: PackedPointRecord or ScaleAwarePointRecord
The points to be written
Raises
------
LaspyException
If the point format of the points does not match
the point format of the writer.
"""
if not points:
return
if self.done:
raise LaspyException("Cannot write points anymore")
if points.point_format != self.header.point_format:
raise LaspyException("Incompatible point formats")
if self.header.max_point_count() - self.header.point_count < len(points):
raise LaspyException(
"Cannot write {} points as it would exceed the maximum number of points the file"
"can store. Current point count: {}, max point count: {}".format(
len(points), self.header.point_count, self.header.max_point_count()
)
)
self.header.grow(points)
self.point_writer.write_points(points)
| (self, points: laspy.point.record.PackedPointRecord) -> NoneType | [
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|
31,576 | laspy.errors | LaspyException | null | class LaspyException(Exception):
pass
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|
31,577 | laspy._compression.backend | LazBackend | Supported backends for reading and writing LAS/LAZ | class LazBackend(ILazBackend, enum.Enum, metaclass=ABCEnumMeta):
"""Supported backends for reading and writing LAS/LAZ"""
# type_hint = Union[LazBackend, Iterable[LazBackend]]
LazrsParallel = 0
"""lazrs in multi-thread mode"""
Lazrs = 1
"""lazrs in single-thread mode"""
Laszip = 2
"""laszip backend"""
def _get(self) -> ILazBackend:
return _DEFAULT_BACKENDS[self.value]
def is_available(self) -> bool:
"""Returns true if the backend is available"""
for laz_backend in self.__class__:
laz_backend: LazBackend
if laz_backend == self:
return self._get().is_available()
return False
@property
def supports_append(self) -> bool:
return self._get().supports_append
def create_appender(self, dest: BinaryIO, header: "LasHeader") -> IPointAppender:
return self._get().create_appender(dest, header)
def create_reader(
self,
source: Any,
header: "LasHeader",
decompression_selection: Optional[DecompressionSelection] = None,
) -> IPointReader:
return self._get().create_reader(
source, header, decompression_selection=decompression_selection
)
def create_writer(
self,
dest: Any,
header: "LasHeader",
) -> IPointWriter:
return self._get().create_writer(dest, header)
@classmethod
def detect_available(cls) -> Tuple["LazBackend", ...]:
"""Returns a tuple containing the available backends in the current
python environment
"""
return tuple(
laz_backend
for backend, laz_backend in zip(_DEFAULT_BACKENDS, cls)
if backend.is_available()
)
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|
31,578 | laspy.point.record | PackedPointRecord |
In the PackedPointRecord, fields that are a combinations of many sub-fields (fields stored on less than a byte)
are still packed together and are only de-packed and re-packed when accessed.
This uses of less memory than if the sub-fields were unpacked
>>> #return number is a sub-field
>>> from laspy import PointFormat, PackedPointRecord
>>> packed_point_record = PackedPointRecord.zeros(10,PointFormat(0))
>>> return_number = packed_point_record['return_number']
>>> return_number
<SubFieldView([0 0 0 0 0 0 0 0 0 0])>
>>> return_number[:] = 1
>>> np.alltrue(packed_point_record['return_number'] == 1)
True
| class PackedPointRecord:
"""
In the PackedPointRecord, fields that are a combinations of many sub-fields (fields stored on less than a byte)
are still packed together and are only de-packed and re-packed when accessed.
This uses of less memory than if the sub-fields were unpacked
>>> #return number is a sub-field
>>> from laspy import PointFormat, PackedPointRecord
>>> packed_point_record = PackedPointRecord.zeros(10,PointFormat(0))
>>> return_number = packed_point_record['return_number']
>>> return_number
<SubFieldView([0 0 0 0 0 0 0 0 0 0])>
>>> return_number[:] = 1
>>> np.alltrue(packed_point_record['return_number'] == 1)
True
"""
def __init__(self, data: np.ndarray, point_format: PointFormat):
self.__dict__["array"] = data
self.__dict__["point_format"] = point_format
self.__dict__["sub_fields_dict"] = dims.get_sub_fields_dict(point_format.id)
@property
def point_size(self):
"""Returns the point size in bytes taken by each points of the record
Returns
-------
int
The point size in byte
"""
return self.array.dtype.itemsize
@staticmethod
def zeros(point_count, point_format):
"""Creates a new point record with all dimensions initialized to zero
Parameters
----------
point_format: PointFormat
The point format id the point record should have
point_count : int
The number of point the point record should have
Returns
-------
PackedPointRecord
"""
data = np.zeros(point_count, point_format.dtype())
return PackedPointRecord(data, point_format)
@staticmethod
def empty(point_format):
"""Creates an empty point record.
Parameters
----------
point_format: laspy.PointFormat
The point format id the point record should have
Returns
-------
PackedPointRecord
"""
return PackedPointRecord.zeros(point_count=0, point_format=point_format)
@classmethod
def from_point_record(
cls, other_point_record: "PackedPointRecord", new_point_format: PointFormat
) -> "PackedPointRecord":
"""Construct a new PackedPointRecord from an existing one with the ability to change
to point format while doing so
"""
array = np.zeros_like(other_point_record.array, dtype=new_point_format.dtype())
new_record = cls(array, new_point_format)
new_record.copy_fields_from(other_point_record)
return new_record
@classmethod
def from_buffer(cls, buffer, point_format, count=-1, offset=0):
points_dtype = point_format.dtype()
data = np.frombuffer(buffer, dtype=points_dtype, offset=offset, count=count)
return cls(data, point_format)
def copy_fields_from(self, other_record: "PackedPointRecord") -> None:
"""Tries to copy the values of the current dimensions from other_record"""
for dim_name in self.point_format.dimension_names:
try:
self[dim_name] = np.array(other_record[dim_name])
except ValueError:
pass
def copy(self) -> "PackedPointRecord":
return PackedPointRecord(self.array.copy(), deepcopy(self.point_format))
def memoryview(self) -> memoryview:
return memoryview(self.array)
def resize(self, new_size: int) -> None:
size_diff = new_size - len(self.array)
if size_diff > 0:
self.array = np.append(
self.array, np.zeros(size_diff, dtype=self.array.dtype)
)
elif size_diff < 0:
self.array = self.array[:new_size].copy()
def _append_zeros_if_too_small(self, value):
"""Appends zeros to the points stored if the value we are trying to
fit is bigger
"""
if len(value) > len(self.array):
self.resize(len(value))
def __eq__(self, other):
return self.point_format == other.point_format and np.all(
self.array == other.array
)
def __len__(self):
if self.array.ndim == 0:
return 1
return self.array.shape[0]
def __getitem__(self, item):
"""Gives access to the underlying numpy array
Unpack the dimension if item is the name a sub-field
"""
if isinstance(item, (int, slice, np.ndarray, list, tuple)):
return PackedPointRecord(self.array[item], self.point_format)
try:
item = OLD_LASPY_NAMES[item]
except KeyError:
pass
# 1) Is it a sub field ?
try:
composed_dim, sub_field = self.sub_fields_dict[item]
return dims.SubFieldView(self.array[composed_dim], sub_field.mask)
except KeyError:
pass
# 2) Is it a Scaled Extra Byte Dimension ?
try:
dim_info = self.point_format.dimension_by_name(item)
if dim_info.is_standard is False and dim_info.is_scaled:
assert dim_info.scales is not None and dim_info.offsets is not None
return ScaledArrayView(
self.array[item], dim_info.scales, dim_info.offsets
)
except ValueError:
pass
return self.array[item]
def __setitem__(self, key, value):
"""Sets elements in the array"""
if isinstance(key, (tuple, list)):
if not isinstance(value, np.ndarray):
value = np.asarray(value)
if value.dtype.isbuiltin == 0:
# value is most likely a structured array (dtype = [('name1', 'type1'), ...])
# https://numpy.org/devdocs/reference/generated/numpy.dtype.isbuiltin.html
for name, v_name in zip(key, value.dtype.names):
self[name] = value[v_name]
else:
if len(key) == 1 and value.ndim == 1:
value = value[..., np.newaxis]
for i, name in enumerate(key):
self[name] = value[..., i]
return
self._append_zeros_if_too_small(value)
if isinstance(key, str):
self[key][:] = value
else:
self.array[key] = value
def __getattr__(self, item):
try:
return self[item]
except ValueError:
raise AttributeError("{} is not a valid dimension".format(item)) from None
def validate_dimension_name(self, key: str) -> DimensionNameValidity:
"""Given a name of a dimension this validates it."""
try:
key = OLD_LASPY_NAMES[key]
except KeyError:
pass
if key in self.point_format.dimension_names or key in self.array.dtype.names:
return DimensionNameValidity.Valid
elif key in dims.DIMENSIONS_TO_TYPE:
return DimensionNameValidity.Unsupported
else:
return DimensionNameValidity.Invalid
def __setattr__(self, key, value):
name_validity = self.validate_dimension_name(key)
if name_validity == DimensionNameValidity.Valid:
self[key] = value
elif name_validity == DimensionNameValidity.Unsupported:
raise ValueError(
f"Point format {self.point_format} does not support {key} dimension"
)
else:
super().__setattr__(key, value)
def __repr__(self):
return "<{}(fmt: {}, len: {}, point size: {})>".format(
self.__class__.__name__,
self.point_format,
len(self),
self.point_format.size,
)
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|
31,579 | laspy.point.record | __eq__ | null | def __eq__(self, other):
return self.point_format == other.point_format and np.all(
self.array == other.array
)
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|
31,580 | laspy.point.record | __getattr__ | null | def __getattr__(self, item):
try:
return self[item]
except ValueError:
raise AttributeError("{} is not a valid dimension".format(item)) from None
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|
31,581 | laspy.point.record | __getitem__ | Gives access to the underlying numpy array
Unpack the dimension if item is the name a sub-field
| def __getitem__(self, item):
"""Gives access to the underlying numpy array
Unpack the dimension if item is the name a sub-field
"""
if isinstance(item, (int, slice, np.ndarray, list, tuple)):
return PackedPointRecord(self.array[item], self.point_format)
try:
item = OLD_LASPY_NAMES[item]
except KeyError:
pass
# 1) Is it a sub field ?
try:
composed_dim, sub_field = self.sub_fields_dict[item]
return dims.SubFieldView(self.array[composed_dim], sub_field.mask)
except KeyError:
pass
# 2) Is it a Scaled Extra Byte Dimension ?
try:
dim_info = self.point_format.dimension_by_name(item)
if dim_info.is_standard is False and dim_info.is_scaled:
assert dim_info.scales is not None and dim_info.offsets is not None
return ScaledArrayView(
self.array[item], dim_info.scales, dim_info.offsets
)
except ValueError:
pass
return self.array[item]
| (self, item) | [
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|
31,582 | laspy.point.record | __init__ | null | def __init__(self, data: np.ndarray, point_format: PointFormat):
self.__dict__["array"] = data
self.__dict__["point_format"] = point_format
self.__dict__["sub_fields_dict"] = dims.get_sub_fields_dict(point_format.id)
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|
31,583 | laspy.point.record | __len__ | null | def __len__(self):
if self.array.ndim == 0:
return 1
return self.array.shape[0]
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|
31,584 | laspy.point.record | __repr__ | null | def __repr__(self):
return "<{}(fmt: {}, len: {}, point size: {})>".format(
self.__class__.__name__,
self.point_format,
len(self),
self.point_format.size,
)
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|
31,585 | laspy.point.record | __setattr__ | null | def __setattr__(self, key, value):
name_validity = self.validate_dimension_name(key)
if name_validity == DimensionNameValidity.Valid:
self[key] = value
elif name_validity == DimensionNameValidity.Unsupported:
raise ValueError(
f"Point format {self.point_format} does not support {key} dimension"
)
else:
super().__setattr__(key, value)
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|
31,586 | laspy.point.record | __setitem__ | Sets elements in the array | def __setitem__(self, key, value):
"""Sets elements in the array"""
if isinstance(key, (tuple, list)):
if not isinstance(value, np.ndarray):
value = np.asarray(value)
if value.dtype.isbuiltin == 0:
# value is most likely a structured array (dtype = [('name1', 'type1'), ...])
# https://numpy.org/devdocs/reference/generated/numpy.dtype.isbuiltin.html
for name, v_name in zip(key, value.dtype.names):
self[name] = value[v_name]
else:
if len(key) == 1 and value.ndim == 1:
value = value[..., np.newaxis]
for i, name in enumerate(key):
self[name] = value[..., i]
return
self._append_zeros_if_too_small(value)
if isinstance(key, str):
self[key][:] = value
else:
self.array[key] = value
| (self, key, value) | [
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|
31,587 | laspy.point.record | _append_zeros_if_too_small | Appends zeros to the points stored if the value we are trying to
fit is bigger
| def _append_zeros_if_too_small(self, value):
"""Appends zeros to the points stored if the value we are trying to
fit is bigger
"""
if len(value) > len(self.array):
self.resize(len(value))
| (self, value) | [
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31,588 | laspy.point.record | copy | null | def copy(self) -> "PackedPointRecord":
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|
31,589 | laspy.point.record | copy_fields_from | Tries to copy the values of the current dimensions from other_record | def copy_fields_from(self, other_record: "PackedPointRecord") -> None:
"""Tries to copy the values of the current dimensions from other_record"""
for dim_name in self.point_format.dimension_names:
try:
self[dim_name] = np.array(other_record[dim_name])
except ValueError:
pass
| (self, other_record: laspy.point.record.PackedPointRecord) -> NoneType | [
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|
31,590 | laspy.point.record | empty | Creates an empty point record.
Parameters
----------
point_format: laspy.PointFormat
The point format id the point record should have
Returns
-------
PackedPointRecord
| @staticmethod
def empty(point_format):
"""Creates an empty point record.
Parameters
----------
point_format: laspy.PointFormat
The point format id the point record should have
Returns
-------
PackedPointRecord
"""
return PackedPointRecord.zeros(point_count=0, point_format=point_format)
| (point_format) | [
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|
31,591 | laspy.point.record | memoryview | null | def memoryview(self) -> memoryview:
return memoryview(self.array)
| (self) -> memoryview | [
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|
31,592 | laspy.point.record | resize | null | def resize(self, new_size: int) -> None:
size_diff = new_size - len(self.array)
if size_diff > 0:
self.array = np.append(
self.array, np.zeros(size_diff, dtype=self.array.dtype)
)
elif size_diff < 0:
self.array = self.array[:new_size].copy()
| (self, new_size: int) -> NoneType | [
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|
31,593 | laspy.point.record | validate_dimension_name | Given a name of a dimension this validates it. | def validate_dimension_name(self, key: str) -> DimensionNameValidity:
"""Given a name of a dimension this validates it."""
try:
key = OLD_LASPY_NAMES[key]
except KeyError:
pass
if key in self.point_format.dimension_names or key in self.array.dtype.names:
return DimensionNameValidity.Valid
elif key in dims.DIMENSIONS_TO_TYPE:
return DimensionNameValidity.Unsupported
else:
return DimensionNameValidity.Invalid
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|
31,594 | laspy.point.record | zeros | Creates a new point record with all dimensions initialized to zero
Parameters
----------
point_format: PointFormat
The point format id the point record should have
point_count : int
The number of point the point record should have
Returns
-------
PackedPointRecord
| @staticmethod
def zeros(point_count, point_format):
"""Creates a new point record with all dimensions initialized to zero
Parameters
----------
point_format: PointFormat
The point format id the point record should have
point_count : int
The number of point the point record should have
Returns
-------
PackedPointRecord
"""
data = np.zeros(point_count, point_format.dtype())
return PackedPointRecord(data, point_format)
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|
31,595 | laspy.point.format | PointFormat | Class that contains the informations about the dimensions that forms a PointFormat.
A PointFormat has 'standard' dimensions (dimensions defined in the LAS standard, each
point format has its set of dimensions), but it can also have extra (non-standard) dimensions
defined by the user)
>>> fmt = PointFormat(3)
>>> all(dim.is_standard for dim in fmt.dimensions)
True
>>> dim = fmt.dimension_by_name("classification") # or fmt["classification"]
>>> dim.max
31
>>> dim.min
0
>>> dim.num_bits
5
| class PointFormat:
"""Class that contains the informations about the dimensions that forms a PointFormat.
A PointFormat has 'standard' dimensions (dimensions defined in the LAS standard, each
point format has its set of dimensions), but it can also have extra (non-standard) dimensions
defined by the user)
>>> fmt = PointFormat(3)
>>> all(dim.is_standard for dim in fmt.dimensions)
True
>>> dim = fmt.dimension_by_name("classification") # or fmt["classification"]
>>> dim.max
31
>>> dim.min
0
>>> dim.num_bits
5
"""
def __init__(
self,
point_format_id: int,
):
"""
Parameters
----------
point_format_id: int
point format id
"""
self.id: int = point_format_id
self.dimensions: List[dims.DimensionInfo] = []
composed_dims = dims.COMPOSED_FIELDS[self.id]
for dim_name in dims.ALL_POINT_FORMATS_DIMENSIONS[self.id]:
try:
sub_fields = composed_dims[dim_name]
except KeyError:
dimension = dims.DimensionInfo.from_dtype(
dim_name, dims.DIMENSIONS_TO_TYPE[dim_name], is_standard=True
)
self.dimensions.append(dimension)
else:
for sub_field in sub_fields:
dimension = dims.DimensionInfo.from_bitmask(
sub_field.name, sub_field.mask, is_standard=True
)
self.dimensions.append(dimension)
@property
def standard_dimensions(self) -> Iterable[dims.DimensionInfo]:
"""Returns an iterable of the standard dimensions
>>> fmt = PointFormat(0)
>>> standard_dims = list(fmt.standard_dimensions)
>>> len(standard_dims)
15
>>> standard_dims[4].name
'return_number'
"""
return (dim for dim in self.dimensions if dim.is_standard)
@property
def extra_dimensions(self) -> Iterable[dims.DimensionInfo]:
return (dim for dim in self.dimensions if dim.is_standard is False)
@property
def dimension_names(self) -> Iterable[str]:
"""Returns the names of the dimensions contained in the point format"""
return (dim.name for dim in self.dimensions)
@property
def standard_dimension_names(self) -> Iterable[str]:
"""Returns the names of the extra dimensions in this point format"""
return (dim.name for dim in self.standard_dimensions)
@property
def extra_dimension_names(self) -> Iterable[str]:
"""Returns the names of the extra dimensions in this point format"""
return (dim.name for dim in self.extra_dimensions)
@property
def size(self) -> int:
"""Returns the number of bytes (standard + extra) a point takes
>>> PointFormat(3).size
34
>>> fmt = PointFormat(3)
>>> fmt.add_extra_dimension(ExtraBytesParams("codification", "uint64"))
>>> fmt.size
42
"""
return int(sum(dim.num_bits for dim in self.dimensions) // 8)
@property
def num_standard_bytes(self) -> int:
"""Returns the number of bytes used by standard dims
>>> fmt = PointFormat(3)
>>> fmt.add_extra_dimension(ExtraBytesParams("codification", "uint64"))
>>> fmt.num_standard_bytes
34
"""
return int(sum(dim.num_bits for dim in self.standard_dimensions) // 8)
@property
def num_extra_bytes(self) -> int:
"""Returns the number of extra bytes
>>> fmt = PointFormat(3)
>>> fmt.add_extra_dimension(ExtraBytesParams("codification", "uint64"))
>>> fmt.num_extra_bytes
8
"""
return int(sum(dim.num_bits for dim in self.extra_dimensions) // 8)
@property
def has_waveform_packet(self):
"""Returns True if the point format has waveform packet dimensions"""
dimensions = set(self.dimension_names)
return all(name in dimensions for name in dims.WAVEFORM_FIELDS_NAMES)
def dimension_by_name(self, name: str) -> dims.DimensionInfo:
"""Returns the dimension info for the dimension by name
ValueError is raised if the dimension does not exist un the point format
>>> info = PointFormat(2).dimension_by_name('number_of_returns')
>>> info.name == 'number_of_returns'
True
>>> info.num_bits == 3
True
>>> info = PointFormat(2).dimension_by_name('gps_time')
Traceback (most recent call last):
...
ValueError: Dimension 'gps_time' does not exist
"""
for dim in self.dimensions:
if dim.name == name:
return dim
raise ValueError(f"Dimension '{name}' does not exist")
def add_extra_dimension(self, param: ExtraBytesParams) -> None:
"""Add an extra, user-defined dimension"""
dim_info = dims.DimensionInfo.from_extra_bytes_param(param)
# todo: this should be checked in extra bytes param ctor
if (
dim_info.num_elements > 3
and dim_info.kind != dims.DimensionKind.UnsignedInteger
):
raise LaspyException("Extra Dimensions do not support more than 3 elements")
self.dimensions.append(dim_info)
def remove_extra_dimension(self, name: str) -> None:
dimensions = [
dim for dim in self.dimensions if dim.name == name and not dim.is_standard
]
try:
dimension = dimensions[0]
except IndexError:
if name in self.standard_dimension_names:
raise LaspyException(
f"The dimension named '{name}' is not an extra dimension, "
"so it cannot be removed"
)
else:
raise LaspyException(
f"'No extra dimension named '{name}' exist"
) from None
self.dimensions = [dim for dim in self.dimensions if dim is not dimension]
def dtype(self):
"""Returns the numpy.dtype used to store the point records in a numpy array
.. note::
The dtype corresponds to the dtype with sub_fields *packed* into their
composed fields
"""
dtype = dims.ALL_POINT_FORMATS_DTYPE[self.id]
descr = dtype.descr
for extra_dim in self.extra_dimensions:
descr.append((extra_dim.name, extra_dim.type_str()))
return np.dtype(descr)
def __getitem__(self, item):
if isinstance(item, str):
return self.dimension_by_name(item)
return self.dimensions[item]
def __eq__(self, other):
if self.id != other.id:
return False
for my_eb, ot_eb in zip_longest(self.extra_dimensions, other.extra_dimensions):
if my_eb is None or ot_eb is None:
return False
if my_eb != ot_eb:
return False
return True
def __repr__(self):
return "<PointFormat({}, {} bytes of extra dims)>".format(
self.id, self.num_extra_bytes
)
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|
31,596 | laspy.point.format | __eq__ | null | def __eq__(self, other):
if self.id != other.id:
return False
for my_eb, ot_eb in zip_longest(self.extra_dimensions, other.extra_dimensions):
if my_eb is None or ot_eb is None:
return False
if my_eb != ot_eb:
return False
return True
| (self, other) | [
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|
31,597 | laspy.point.format | __getitem__ | null | def __getitem__(self, item):
if isinstance(item, str):
return self.dimension_by_name(item)
return self.dimensions[item]
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|
31,598 | laspy.point.format | __init__ |
Parameters
----------
point_format_id: int
point format id
| def __init__(
self,
point_format_id: int,
):
"""
Parameters
----------
point_format_id: int
point format id
"""
self.id: int = point_format_id
self.dimensions: List[dims.DimensionInfo] = []
composed_dims = dims.COMPOSED_FIELDS[self.id]
for dim_name in dims.ALL_POINT_FORMATS_DIMENSIONS[self.id]:
try:
sub_fields = composed_dims[dim_name]
except KeyError:
dimension = dims.DimensionInfo.from_dtype(
dim_name, dims.DIMENSIONS_TO_TYPE[dim_name], is_standard=True
)
self.dimensions.append(dimension)
else:
for sub_field in sub_fields:
dimension = dims.DimensionInfo.from_bitmask(
sub_field.name, sub_field.mask, is_standard=True
)
self.dimensions.append(dimension)
| (self, point_format_id: int) | [
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|
31,599 | laspy.point.format | __repr__ | null | def __repr__(self):
return "<PointFormat({}, {} bytes of extra dims)>".format(
self.id, self.num_extra_bytes
)
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|
31,600 | laspy.point.format | add_extra_dimension | Add an extra, user-defined dimension | def add_extra_dimension(self, param: ExtraBytesParams) -> None:
"""Add an extra, user-defined dimension"""
dim_info = dims.DimensionInfo.from_extra_bytes_param(param)
# todo: this should be checked in extra bytes param ctor
if (
dim_info.num_elements > 3
and dim_info.kind != dims.DimensionKind.UnsignedInteger
):
raise LaspyException("Extra Dimensions do not support more than 3 elements")
self.dimensions.append(dim_info)
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|
31,601 | laspy.point.format | dimension_by_name | Returns the dimension info for the dimension by name
ValueError is raised if the dimension does not exist un the point format
>>> info = PointFormat(2).dimension_by_name('number_of_returns')
>>> info.name == 'number_of_returns'
True
>>> info.num_bits == 3
True
>>> info = PointFormat(2).dimension_by_name('gps_time')
Traceback (most recent call last):
...
ValueError: Dimension 'gps_time' does not exist
| def dimension_by_name(self, name: str) -> dims.DimensionInfo:
"""Returns the dimension info for the dimension by name
ValueError is raised if the dimension does not exist un the point format
>>> info = PointFormat(2).dimension_by_name('number_of_returns')
>>> info.name == 'number_of_returns'
True
>>> info.num_bits == 3
True
>>> info = PointFormat(2).dimension_by_name('gps_time')
Traceback (most recent call last):
...
ValueError: Dimension 'gps_time' does not exist
"""
for dim in self.dimensions:
if dim.name == name:
return dim
raise ValueError(f"Dimension '{name}' does not exist")
| (self, name: str) -> laspy.point.dims.DimensionInfo | [
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|
31,602 | laspy.point.format | dtype | Returns the numpy.dtype used to store the point records in a numpy array
.. note::
The dtype corresponds to the dtype with sub_fields *packed* into their
composed fields
| def dtype(self):
"""Returns the numpy.dtype used to store the point records in a numpy array
.. note::
The dtype corresponds to the dtype with sub_fields *packed* into their
composed fields
"""
dtype = dims.ALL_POINT_FORMATS_DTYPE[self.id]
descr = dtype.descr
for extra_dim in self.extra_dimensions:
descr.append((extra_dim.name, extra_dim.type_str()))
return np.dtype(descr)
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|
31,603 | laspy.point.format | remove_extra_dimension | null | def remove_extra_dimension(self, name: str) -> None:
dimensions = [
dim for dim in self.dimensions if dim.name == name and not dim.is_standard
]
try:
dimension = dimensions[0]
except IndexError:
if name in self.standard_dimension_names:
raise LaspyException(
f"The dimension named '{name}' is not an extra dimension, "
"so it cannot be removed"
)
else:
raise LaspyException(
f"'No extra dimension named '{name}' exist"
) from None
self.dimensions = [dim for dim in self.dimensions if dim is not dimension]
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|
31,604 | laspy.point.record | ScaleAwarePointRecord | A ScaleAwarePointRecord is a point record that knows the scales and offets
to use, and is thus able to get and set the scaled x, y, z coordinates
To create one, use :meth:`.ScaleAwarePointRecord.zeros` or :meth:`.ScaleAwarePointRecord.empty`
| class ScaleAwarePointRecord(PackedPointRecord):
"""A ScaleAwarePointRecord is a point record that knows the scales and offets
to use, and is thus able to get and set the scaled x, y, z coordinates
To create one, use :meth:`.ScaleAwarePointRecord.zeros` or :meth:`.ScaleAwarePointRecord.empty`
"""
def __init__(self, array, point_format, scales, offsets):
super().__init__(array, point_format)
self.scales = np.array(scales)
self.offsets = np.array(offsets)
if self.scales.shape != (3,):
raise ValueError("scales must be an array of 3 elements")
if self.offsets.shape != (3,):
raise ValueError("offsets must be an array of 3 elements")
@staticmethod
def zeros(
point_count, *, point_format=None, scales=None, offsets=None, header=None
):
"""Creates a new point record with all dimensions initialized to zero
Examples
--------
>>> record = ScaleAwarePointRecord.zeros(
... 5, point_format=PointFormat(3), scales=[1.0, 1.0, 1.0], offsets=[0.1, 0.5, 17.5])
>>> len(record)
5
>>> import laspy
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr)
>>> len(record)
5
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr, scales=[1.0, 1.0, 1.0])
Traceback (most recent call last):
ValueError: header argument is mutually exclusive with point_format, scales and offets
>>> record = ScaleAwarePointRecord.zeros(5, point_format=PointFormat(3))
Traceback (most recent call last):
ValueError: You have to provide all 3: point_format, scale and offsets
"""
first_set = (point_format, scales, offsets)
if header is not None:
if any(arg is not None for arg in first_set):
raise ValueError(
"header argument is mutually exclusive with point_format, scales and offets"
)
point_format = header.point_format
scales = header.scales
offsets = header.offsets
else:
if any(arg is None for arg in first_set):
raise ValueError(
"You have to provide all 3: " "point_format, scale and offsets"
)
data = np.zeros(point_count, point_format.dtype())
return ScaleAwarePointRecord(data, point_format, scales, offsets)
@staticmethod
def empty(point_format=None, scales=None, offsets=None, header=None):
"""Creates an empty point record."""
return ScaleAwarePointRecord.zeros(
point_count=0,
point_format=point_format,
scales=scales,
offsets=offsets,
header=header,
)
def change_scaling(self, scales=None, offsets=None) -> None:
"""See :meth:`.LasData.change_scaling`"""
if scales is None:
scales = self.scales
if offsets is None:
offsets = self.offsets
apply_new_scaling(self, scales, offsets)
self.scales = scales
self.offsets = offsets
def __getitem__(self, item):
if isinstance(item, (int, slice, np.ndarray, list, tuple)):
if isinstance(item, (list, tuple)):
# x, y ,z do not really exists in the array, but they are computed from X, Y, Z
item = [
item if item not in ("x", "y", "z") else item.upper()
for item in item
]
return ScaleAwarePointRecord(
self.array[item], self.point_format, self.scales, self.offsets
)
if item == "x":
return ScaledArrayView(self.array["X"], self.scales[0], self.offsets[0])
elif item == "y":
return ScaledArrayView(self.array["Y"], self.scales[1], self.offsets[1])
elif item == "z":
return ScaledArrayView(self.array["Z"], self.scales[2], self.offsets[2])
else:
return super().__getitem__(item)
def __setattr__(self, key, value):
if key in ("x", "y", "z"):
self[key][:] = value
else:
return super().__setattr__(key, value)
| (array, point_format, scales, offsets) | [
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|
31,607 | laspy.point.record | __getitem__ | null | def __getitem__(self, item):
if isinstance(item, (int, slice, np.ndarray, list, tuple)):
if isinstance(item, (list, tuple)):
# x, y ,z do not really exists in the array, but they are computed from X, Y, Z
item = [
item if item not in ("x", "y", "z") else item.upper()
for item in item
]
return ScaleAwarePointRecord(
self.array[item], self.point_format, self.scales, self.offsets
)
if item == "x":
return ScaledArrayView(self.array["X"], self.scales[0], self.offsets[0])
elif item == "y":
return ScaledArrayView(self.array["Y"], self.scales[1], self.offsets[1])
elif item == "z":
return ScaledArrayView(self.array["Z"], self.scales[2], self.offsets[2])
else:
return super().__getitem__(item)
| (self, item) | [
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|
31,608 | laspy.point.record | __init__ | null | def __init__(self, array, point_format, scales, offsets):
super().__init__(array, point_format)
self.scales = np.array(scales)
self.offsets = np.array(offsets)
if self.scales.shape != (3,):
raise ValueError("scales must be an array of 3 elements")
if self.offsets.shape != (3,):
raise ValueError("offsets must be an array of 3 elements")
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|
31,611 | laspy.point.record | __setattr__ | null | def __setattr__(self, key, value):
if key in ("x", "y", "z"):
self[key][:] = value
else:
return super().__setattr__(key, value)
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|
31,614 | laspy.point.record | change_scaling | See :meth:`.LasData.change_scaling` | def change_scaling(self, scales=None, offsets=None) -> None:
"""See :meth:`.LasData.change_scaling`"""
if scales is None:
scales = self.scales
if offsets is None:
offsets = self.offsets
apply_new_scaling(self, scales, offsets)
self.scales = scales
self.offsets = offsets
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|
31,617 | laspy.point.record | empty | Creates an empty point record. | @staticmethod
def empty(point_format=None, scales=None, offsets=None, header=None):
"""Creates an empty point record."""
return ScaleAwarePointRecord.zeros(
point_count=0,
point_format=point_format,
scales=scales,
offsets=offsets,
header=header,
)
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|
31,621 | laspy.point.record | zeros | Creates a new point record with all dimensions initialized to zero
Examples
--------
>>> record = ScaleAwarePointRecord.zeros(
... 5, point_format=PointFormat(3), scales=[1.0, 1.0, 1.0], offsets=[0.1, 0.5, 17.5])
>>> len(record)
5
>>> import laspy
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr)
>>> len(record)
5
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr, scales=[1.0, 1.0, 1.0])
Traceback (most recent call last):
ValueError: header argument is mutually exclusive with point_format, scales and offets
>>> record = ScaleAwarePointRecord.zeros(5, point_format=PointFormat(3))
Traceback (most recent call last):
ValueError: You have to provide all 3: point_format, scale and offsets
| @staticmethod
def zeros(
point_count, *, point_format=None, scales=None, offsets=None, header=None
):
"""Creates a new point record with all dimensions initialized to zero
Examples
--------
>>> record = ScaleAwarePointRecord.zeros(
... 5, point_format=PointFormat(3), scales=[1.0, 1.0, 1.0], offsets=[0.1, 0.5, 17.5])
>>> len(record)
5
>>> import laspy
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr)
>>> len(record)
5
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr, scales=[1.0, 1.0, 1.0])
Traceback (most recent call last):
ValueError: header argument is mutually exclusive with point_format, scales and offets
>>> record = ScaleAwarePointRecord.zeros(5, point_format=PointFormat(3))
Traceback (most recent call last):
ValueError: You have to provide all 3: point_format, scale and offsets
"""
first_set = (point_format, scales, offsets)
if header is not None:
if any(arg is not None for arg in first_set):
raise ValueError(
"header argument is mutually exclusive with point_format, scales and offets"
)
point_format = header.point_format
scales = header.scales
offsets = header.offsets
else:
if any(arg is None for arg in first_set):
raise ValueError(
"You have to provide all 3: " "point_format, scale and offsets"
)
data = np.zeros(point_count, point_format.dtype())
return ScaleAwarePointRecord(data, point_format, scales, offsets)
| (point_count, *, point_format=None, scales=None, offsets=None, header=None) | [
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|
31,622 | laspy.vlrs.vlr | VLR |
>>> import laspy
>>> my_vlr = laspy.VLR(
... user_id="MyUserId",
... record_id=0,
... description="An Example VLR",
... record_data=int(42).to_bytes(8, byteorder='little'),
... )
>>> my_vlr.user_id
'MyUserId'
>>> int.from_bytes(my_vlr.record_data, byteorder='little')
42
| class VLR(BaseVLR):
"""
>>> import laspy
>>> my_vlr = laspy.VLR(
... user_id="MyUserId",
... record_id=0,
... description="An Example VLR",
... record_data=int(42).to_bytes(8, byteorder='little'),
... )
>>> my_vlr.user_id
'MyUserId'
>>> int.from_bytes(my_vlr.record_data, byteorder='little')
42
"""
def __init__(self, user_id, record_id, description="", record_data=b""):
super().__init__(user_id, record_id, description=description)
#: The record_data as bytes, length cannot exceed 65_535
self.record_data: bytes = record_data
def record_data_bytes(self) -> bytes:
return self.record_data
def __eq__(self, other):
return (
self.record_id == other.record_id
and self.user_id == other.user_id
and self.description == other.description
and self.record_data == other.record_data
)
def __repr__(self):
return "<{}(user_id: '{}', record_id: '{}', data len: {})>".format(
self.__class__.__name__, self.user_id, self.record_id, len(self.record_data)
)
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|
31,623 | laspy.vlrs.vlr | __eq__ | null | def __eq__(self, other):
return (
self.record_id == other.record_id
and self.user_id == other.user_id
and self.description == other.description
and self.record_data == other.record_data
)
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|
31,624 | laspy.vlrs.vlr | __init__ | null | def __init__(self, user_id, record_id, description="", record_data=b""):
super().__init__(user_id, record_id, description=description)
#: The record_data as bytes, length cannot exceed 65_535
self.record_data: bytes = record_data
| (self, user_id, record_id, description='', record_data=b'') | [
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|
31,625 | laspy.vlrs.vlr | __repr__ | null | def __repr__(self):
return "<{}(user_id: '{}', record_id: '{}', data len: {})>".format(
self.__class__.__name__, self.user_id, self.record_id, len(self.record_data)
)
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|
31,626 | laspy.vlrs.vlr | record_data_bytes | null | def record_data_bytes(self) -> bytes:
return self.record_data
| (self) -> bytes | [
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|
31,632 | laspy.lib | convert | Converts a Las from one point format to another
Automatically upgrades the file version if source file version is not compatible with
the new point_format_id
convert to point format 0
>>> las = read_las('tests/data/simple.las')
>>> las.header.version
Version(major=1, minor=2)
>>> las = convert(las, point_format_id=0)
>>> las.header.point_format.id
0
>>> str(las.header.version)
'1.2'
convert to point format 6, which need version >= 1.4
then convert back to point format 0, version is not downgraded
>>> las = read_las('tests/data/simple.las')
>>> str(las.header.version)
'1.2'
>>> las = convert(las, point_format_id=6)
>>> las.header.point_format.id
6
>>> str(las.header.version)
'1.4'
>>> las = convert(las, point_format_id=0)
>>> str(las.header.version)
'1.4'
an exception is raised if the requested point format is not compatible
with the file version
>>> las = read_las('tests/data/simple.las')
>>> convert(las, point_format_id=6, file_version='1.2')
Traceback (most recent call last):
...
laspy.errors.LaspyException: Point format 6 is not compatible with file version 1.2
Parameters
----------
source_las : laspy.lasdatas.base.LasBase
The source data to be converted
point_format_id : int, optional
The new point format id (the default is None, which won't change the source format id)
file_version : str, optional,
The new file version. None by default which means that the file_version
may be upgraded for compatibility with the new point_format. The file version will not
be downgraded.
Returns
-------
laspy.lasdatas.base.LasBase
| def convert(source_las, *, point_format_id=None, file_version=None):
"""Converts a Las from one point format to another
Automatically upgrades the file version if source file version is not compatible with
the new point_format_id
convert to point format 0
>>> las = read_las('tests/data/simple.las')
>>> las.header.version
Version(major=1, minor=2)
>>> las = convert(las, point_format_id=0)
>>> las.header.point_format.id
0
>>> str(las.header.version)
'1.2'
convert to point format 6, which need version >= 1.4
then convert back to point format 0, version is not downgraded
>>> las = read_las('tests/data/simple.las')
>>> str(las.header.version)
'1.2'
>>> las = convert(las, point_format_id=6)
>>> las.header.point_format.id
6
>>> str(las.header.version)
'1.4'
>>> las = convert(las, point_format_id=0)
>>> str(las.header.version)
'1.4'
an exception is raised if the requested point format is not compatible
with the file version
>>> las = read_las('tests/data/simple.las')
>>> convert(las, point_format_id=6, file_version='1.2')
Traceback (most recent call last):
...
laspy.errors.LaspyException: Point format 6 is not compatible with file version 1.2
Parameters
----------
source_las : laspy.lasdatas.base.LasBase
The source data to be converted
point_format_id : int, optional
The new point format id (the default is None, which won't change the source format id)
file_version : str, optional,
The new file version. None by default which means that the file_version
may be upgraded for compatibility with the new point_format. The file version will not
be downgraded.
Returns
-------
laspy.lasdatas.base.LasBase
"""
if point_format_id is None:
point_format_id = source_las.point_format.id
if file_version is None:
file_version = max(
str(source_las.header.version),
dims.preferred_file_version_for_point_format(point_format_id),
)
else:
file_version = str(file_version)
dims.raise_if_version_not_compatible_with_fmt(point_format_id, file_version)
version = Version.from_str(file_version)
point_format = PointFormat(point_format_id)
point_format.dimensions.extend(source_las.point_format.extra_dimensions)
header = copy.deepcopy(source_las.header)
header.set_version_and_point_format(version, point_format)
if source_las.evlrs is not None:
evlrs = VLRList(source_las.evlrs.copy())
else:
evlrs = None
points = record.PackedPointRecord.from_point_record(
source_las.points, header.point_format
)
las = LasData(header=header, points=points)
if file_version < "1.4" and evlrs is not None and evlrs:
logger.warning(
"The source contained {} EVLRs,"
" they will be lost as version {} doest not support them".format(
len(evlrs), file_version
)
)
else:
las.evlrs = evlrs
return las
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|
31,634 | laspy.lib | create_las | Function to create a new empty las data object
.. note::
If you provide both point_format and file_version
an exception will be raised if they are not compatible
>>> las = create_las(point_format=6,file_version="1.2")
Traceback (most recent call last):
...
laspy.errors.LaspyException: Point format 6 is not compatible with file version 1.2
If you provide only the point_format the file_version will automatically
selected for you.
>>> las = create_las(point_format=0)
>>> las.header.version == '1.2'
True
>>> las = create_las(point_format=PointFormat(6))
>>> las.header.version == '1.4'
True
Parameters
----------
point_format:
The point format you want the created file to have
file_version:
The las version you want the created las to have
Returns
-------
laspy.lasdatas.base.LasBase
A new las data object
| def create_las(
*,
point_format: Optional[Union[int, PointFormat]] = None,
file_version: Optional[Union[str, Version]] = None,
):
"""Function to create a new empty las data object
.. note::
If you provide both point_format and file_version
an exception will be raised if they are not compatible
>>> las = create_las(point_format=6,file_version="1.2")
Traceback (most recent call last):
...
laspy.errors.LaspyException: Point format 6 is not compatible with file version 1.2
If you provide only the point_format the file_version will automatically
selected for you.
>>> las = create_las(point_format=0)
>>> las.header.version == '1.2'
True
>>> las = create_las(point_format=PointFormat(6))
>>> las.header.version == '1.4'
True
Parameters
----------
point_format:
The point format you want the created file to have
file_version:
The las version you want the created las to have
Returns
-------
laspy.lasdatas.base.LasBase
A new las data object
"""
header = LasHeader(point_format=point_format, version=file_version)
return LasData(header=header)
| (*, point_format: Union[laspy.point.format.PointFormat, int, NoneType] = None, file_version: Union[laspy.header.Version, str, NoneType] = None) | [
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|
31,646 | laspy.point.format | lost_dimensions | Returns a list of the names of the dimensions that will be lost
when converting from point_fmt_in to point_fmt_out
| def lost_dimensions(point_fmt_in, point_fmt_out):
"""Returns a list of the names of the dimensions that will be lost
when converting from point_fmt_in to point_fmt_out
"""
dimensions_in = set(PointFormat(point_fmt_in).dimension_names)
dimensions_out = set(PointFormat(point_fmt_out).dimension_names)
completely_lost = []
for dim_name in dimensions_in:
if dim_name not in dimensions_out:
completely_lost.append(dim_name)
return completely_lost
| (point_fmt_in, point_fmt_out) | [
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|
31,647 | laspy.lib | mmap_las | MMap a file, much like laspy did | def mmap_las(filename):
"""MMap a file, much like laspy did"""
return LasMMAP(filename)
| (filename) | [
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|
31,648 | laspy.lib | open_las | The laspy.open opens a LAS/LAZ file in one of the 3 supported
mode:
- "r" => Reading => a :class:`laspy.LasReader` will be returned
- "w" => Writing => a :class:`laspy.LasWriter` will be returned
- "a" => Appending => a :class:`laspy.LasAppender` will be returned
When opening a file in 'w' mode, a header (:class:`laspy.LasHeader`)
is required
>>> with open_las('tests/data/simple.las') as f:
... print(f.header.point_format.id)
3
>>> f = open('tests/data/simple.las', mode='rb')
>>> with open_las(f,closefd=False) as flas:
... print(flas.header)
<LasHeader(1.2, <PointFormat(3, 0 bytes of extra dims)>)>
>>> f.closed
False
>>> f.close()
>>> f.closed
True
>>> f = open('tests/data/simple.las', mode='rb')
>>> with open_las(f) as flas:
... las = flas.read()
>>> f.closed
True
Parameters
----------
source: str or bytes or io.BytesIO
if source is a str it must be a filename
mode: Optional, the mode to open the file:
- "r" for reading (default)
- "w" for writing
- "a" for appending
laz_backend: Optional, laspy.LazBackend, the LAZ backend to use to handle decompression/compression
By default available backends are detected, see LazBackend to see the
preference order when multiple backends are available
header: The header to use when opening in write mode.
do_compress: optional, bool, only meaningful in writing mode:
- None (default) guess if compression is needed using the file extension
or if a laz_backend was explicitely provided
- True compresses the file
- False do not compress the file
closefd: optional, bool, True by default
Whether the stream/file object shall be closed, this only work
when using open_las in a with statement. An exception is raised if
closefd is specified and the source is a filename
encoding_errors: str, default 'strict'
Only used in writing and appending mode.
How encoding errors should be treated.
Possible values and their explanation can be seen here:
https://docs.python.org/3/library/codecs.html#error-handlers.
read_evlrs: bool, default True
Only applies to 'r' mode.
If True the evlrs will be read during the __init__ / file opening
along with the LasHeader.
It is fine for most of the cases,
but can be problematic when opening file from a data stream like
AWS S3 as EVLRs are located at the end of the files, thus
will require to pull the whole file.
Does nothing if the input file does not support
EVLRs
decompression_selection: DecompressionSelection, default All
Only applies to 'r' mode and for files which suport selective decompression
(version >= 1.4 and point format id >= 6), ignored otherwise.
Allows to select which fields should be decompressed or not, allowing to save time
by not decompressing unused fields.
By default all fields are decompressed
.. versionadded:: 2.4
The ``read_evlrs`` and ``decompression_selection`` parameters.
| def open_las(
source,
mode="r",
closefd=True,
laz_backend=None,
header=None,
do_compress=None,
encoding_errors: str = "strict",
read_evlrs: bool = True,
decompression_selection: DecompressionSelection = DecompressionSelection.all(),
) -> Union[LasReader, LasWriter, LasAppender]:
"""The laspy.open opens a LAS/LAZ file in one of the 3 supported
mode:
- "r" => Reading => a :class:`laspy.LasReader` will be returned
- "w" => Writing => a :class:`laspy.LasWriter` will be returned
- "a" => Appending => a :class:`laspy.LasAppender` will be returned
When opening a file in 'w' mode, a header (:class:`laspy.LasHeader`)
is required
>>> with open_las('tests/data/simple.las') as f:
... print(f.header.point_format.id)
3
>>> f = open('tests/data/simple.las', mode='rb')
>>> with open_las(f,closefd=False) as flas:
... print(flas.header)
<LasHeader(1.2, <PointFormat(3, 0 bytes of extra dims)>)>
>>> f.closed
False
>>> f.close()
>>> f.closed
True
>>> f = open('tests/data/simple.las', mode='rb')
>>> with open_las(f) as flas:
... las = flas.read()
>>> f.closed
True
Parameters
----------
source: str or bytes or io.BytesIO
if source is a str it must be a filename
mode: Optional, the mode to open the file:
- "r" for reading (default)
- "w" for writing
- "a" for appending
laz_backend: Optional, laspy.LazBackend, the LAZ backend to use to handle decompression/compression
By default available backends are detected, see LazBackend to see the
preference order when multiple backends are available
header: The header to use when opening in write mode.
do_compress: optional, bool, only meaningful in writing mode:
- None (default) guess if compression is needed using the file extension
or if a laz_backend was explicitely provided
- True compresses the file
- False do not compress the file
closefd: optional, bool, True by default
Whether the stream/file object shall be closed, this only work
when using open_las in a with statement. An exception is raised if
closefd is specified and the source is a filename
encoding_errors: str, default 'strict'
Only used in writing and appending mode.
How encoding errors should be treated.
Possible values and their explanation can be seen here:
https://docs.python.org/3/library/codecs.html#error-handlers.
read_evlrs: bool, default True
Only applies to 'r' mode.
If True the evlrs will be read during the __init__ / file opening
along with the LasHeader.
It is fine for most of the cases,
but can be problematic when opening file from a data stream like
AWS S3 as EVLRs are located at the end of the files, thus
will require to pull the whole file.
Does nothing if the input file does not support
EVLRs
decompression_selection: DecompressionSelection, default All
Only applies to 'r' mode and for files which suport selective decompression
(version >= 1.4 and point format id >= 6), ignored otherwise.
Allows to select which fields should be decompressed or not, allowing to save time
by not decompressing unused fields.
By default all fields are decompressed
.. versionadded:: 2.4
The ``read_evlrs`` and ``decompression_selection`` parameters.
"""
if mode == "r":
if header is not None:
raise LaspyException(
"header argument is not used when opening in read mode, "
"did you meant to open in write mode ?"
)
if do_compress is not None:
raise LaspyException(
"do_compress argument is not used when opening in read mode, "
"did you meant to open in write mode ?"
)
if isinstance(source, (str, Path)):
stream = open(source, mode="rb", closefd=closefd)
elif isinstance(source, bytes):
stream = io.BytesIO(source)
else:
stream = source
try:
return LasReader(
stream,
closefd=closefd,
laz_backend=laz_backend,
read_evlrs=read_evlrs,
decompression_selection=decompression_selection,
)
except:
if closefd:
stream.close()
raise
elif mode == "w":
if header is None:
raise ValueError("A header is needed when opening a file for writing")
if isinstance(source, (str, Path)):
if do_compress is None:
do_compress = os.path.splitext(source)[1].lower() == ".laz"
stream = open(source, mode="wb+", closefd=closefd)
elif isinstance(source, bytes):
stream = io.BytesIO(source)
else:
assert source.seekable()
stream = source
try:
return LasWriter(
stream,
header=header,
do_compress=do_compress,
laz_backend=laz_backend,
closefd=closefd,
encoding_errors=encoding_errors,
)
except:
if closefd:
stream.close()
raise
elif mode == "a":
if isinstance(source, (str, Path)):
stream = open(source, mode="rb+", closefd=closefd)
elif isinstance(source, bytes):
stream = io.BytesIO(source)
else:
stream = source
try:
return LasAppender(
stream,
closefd=closefd,
laz_backend=laz_backend,
encoding_errors=encoding_errors,
)
except:
if closefd:
stream.close()
raise
else:
raise ValueError(f"Unknown mode '{mode}'")
| (source, mode='r', closefd=True, laz_backend=None, header=None, do_compress=None, encoding_errors: str = 'strict', read_evlrs: bool = True, decompression_selection: laspy._compression.selection.DecompressionSelection = <DecompressionSelection.ALL_EXTRA_BYTES|WAVEPACKET|NIR|RGB|GPS_TIME|POINT_SOURCE_ID|USER_DATA|SCAN_ANGLE|INTENSITY|FLAGS|CLASSIFICATION|Z|XY_RETURNS_CHANNEL: 8191>) -> Union[laspy.lasreader.LasReader, laspy.laswriter.LasWriter, laspy.lasappender.LasAppender] | [
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|
31,650 | laspy.lib | read_las | Entry point for reading las data in laspy
Reads the whole file into memory.
>>> las = read_las("tests/data/simple.las")
>>> las.classification
<SubFieldView([1 1 1 ... 1 1 1])>
Parameters
----------
source : str or io.BytesIO
The source to read data from
laz_backend: Optional, the backend to use when the file is as LAZ file.
By default laspy will find the backend to use by itself.
Use if you want a specific backend to be used
closefd: bool
if True and the source is a stream, the function will close it
after it is done reading
decompression_selection: DecompressionSelection,
see :func:`laspy.open`
Returns
-------
laspy.LasData
The object you can interact with to get access to the LAS points & VLRs
.. versionadded:: 2.4
The ``decompression_selection`` parameter.
| def read_las(
source,
closefd=True,
laz_backend=LazBackend.detect_available(),
decompression_selection: DecompressionSelection = DecompressionSelection.all(),
):
"""Entry point for reading las data in laspy
Reads the whole file into memory.
>>> las = read_las("tests/data/simple.las")
>>> las.classification
<SubFieldView([1 1 1 ... 1 1 1])>
Parameters
----------
source : str or io.BytesIO
The source to read data from
laz_backend: Optional, the backend to use when the file is as LAZ file.
By default laspy will find the backend to use by itself.
Use if you want a specific backend to be used
closefd: bool
if True and the source is a stream, the function will close it
after it is done reading
decompression_selection: DecompressionSelection,
see :func:`laspy.open`
Returns
-------
laspy.LasData
The object you can interact with to get access to the LAS points & VLRs
.. versionadded:: 2.4
The ``decompression_selection`` parameter.
"""
with open_las(
source,
closefd=closefd,
laz_backend=laz_backend,
decompression_selection=decompression_selection,
) as reader:
return reader.read()
| (source, closefd=True, laz_backend=(), decompression_selection: laspy._compression.selection.DecompressionSelection = <DecompressionSelection.ALL_EXTRA_BYTES|WAVEPACKET|NIR|RGB|GPS_TIME|POINT_SOURCE_ID|USER_DATA|SCAN_ANGLE|INTENSITY|FLAGS|CLASSIFICATION|Z|XY_RETURNS_CHANNEL: 8191>) | [
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|
31,651 | laspy.point.dims | supported_point_formats | Returns a set of all the point formats supported in laspy | def supported_point_formats() -> Set[int]:
"""Returns a set of all the point formats supported in laspy"""
return set(POINT_FORMAT_DIMENSIONS.keys())
| () -> Set[int] | [
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|
31,652 | laspy.point.dims | supported_versions | Returns the set of supported file versions | def supported_versions() -> Set[str]:
"""Returns the set of supported file versions"""
return set(VERSION_TO_POINT_FMT.keys())
| () -> Set[str] | [
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|
31,656 | jupyterlab_optuna | _jupyter_labextension_paths | null | def _jupyter_labextension_paths():
return [{
"src": "labextension",
"dest": "jupyterlab-optuna"
}]
| () | [
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|
31,657 | jupyterlab_optuna | _jupyter_server_extension_points | null | def _jupyter_server_extension_points():
return [{
"module": "jupyterlab_optuna"
}]
| () | [
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|
31,658 | jupyterlab_optuna | _load_jupyter_server_extension | Registers the API handler to receive HTTP requests from the frontend extension.
Parameters
----------
server_app: jupyterlab.labapp.LabApp
JupyterLab application instance
| def _load_jupyter_server_extension(server_app):
"""Registers the API handler to receive HTTP requests from the frontend extension.
Parameters
----------
server_app: jupyterlab.labapp.LabApp
JupyterLab application instance
"""
setup_handlers(server_app.web_app)
name = "jupyterlab_optuna"
server_app.log.info(f"Registered {name} server extension")
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|
31,661 | jupyterlab_optuna.handlers | setup_handlers | null | def setup_handlers(web_app):
host_pattern = ".*$"
base_url = web_app.settings["base_url"]
# Prepend the base_url so that it works in a JupyterHub setting
initialize_route_pattern = url_path_join(base_url, API_NAMESPACE, "api/is_initialized")
handlers = [(initialize_route_pattern, InitializedStateHandler)]
web_app.add_handlers(host_pattern, handlers)
resister_route_pattern = url_path_join(base_url, API_NAMESPACE, "api/register_dashboard_app")
handlers = [(resister_route_pattern, RouteHandler)]
web_app.add_handlers(host_pattern, handlers)
route_pattern = url_path_join(base_url, API_NAMESPACE, r"(.*)")
handlers = [
(route_pattern, FallbackHandler, dict(fallback=WSGIContainer(dashboard_app))),
]
web_app.add_handlers(host_pattern, handlers)
| (web_app) | [
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|
31,662 | pybuilder | bootstrap | null | def bootstrap():
import sys
import inspect
from pybuilder.errors import BuildFailedException
try:
current_frame = inspect.currentframe()
previous_frame = current_frame.f_back
name_of_previous_frame = previous_frame.f_globals['__name__']
if name_of_previous_frame == '__main__':
import pybuilder.cli
sys.exit(pybuilder.cli.main(*sys.argv[1:]))
except BuildFailedException:
sys.exit(1)
| () | [
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|
31,663 | adjust_precision_for_schema.schema_adjuster | adjust_decimal_precision_for_schema | Adjust the decimal context's precision based on the precision specified in the JSON schema
For example, the default precision is 28 characters (significant digits + decimal places),
but MongoDB handles 34 decimal places. This will increase the context's precision to 34 to handle the schema | def adjust_decimal_precision_for_schema(schema, context=None):
"""Adjust the decimal context's precision based on the precision specified in the JSON schema
For example, the default precision is 28 characters (significant digits + decimal places),
but MongoDB handles 34 decimal places. This will increase the context's precision to 34 to handle the schema"""
if not context:
context = decimal.getcontext()
if isinstance(schema, list):
for v in schema:
adjust_decimal_precision_for_schema(v)
elif isinstance(schema, dict):
if numeric_schema_with_precision(schema):
scale, digits = get_schema_precision(
minimum=schema.get("minimum"),
maximum=schema.get("maxium"),
multiple_of=schema.get("multipleOf"),
)
precision = 2 + digits + scale
if context.prec < precision:
logger.debug("Setting decimal precision to {}".format(precision))
context.prec = precision
else:
for v in schema.values():
adjust_decimal_precision_for_schema(v)
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|
31,664 | adjust_precision_for_schema.schema_adjuster | calc_digits | Calculates the total number of digits required to store a number | def calc_digits(num):
"""Calculates the total number of digits required to store a number"""
v = abs(Decimal(num or 1)).log10()
if v < 0:
precision = round(math.floor(v))
else:
precision = round(math.ceil(v))
return abs(precision)
| (num) | [
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|
31,676 | wradlib.util | show_versions | null | def show_versions(file=None):
import sys
import xarray as xr
if file is None:
file = sys.stdout
xr.show_versions(file)
print("", file=file)
print(f"wradlib: {version.version}")
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|
31,686 | cookies | Cookie | Provide a simple interface for creating, modifying, and rendering
individual HTTP cookies.
Cookie attributes are represented as normal Python object attributes.
Parsing, rendering and validation are reconfigurable per-attribute. The
default behavior is intended to comply with RFC 6265, URL-encoding illegal
characters where necessary. For example: the default behavior for the
Expires attribute is to parse strings as datetimes using parse_date,
validate that any set value is a datetime, and render the attribute per the
preferred date format in RFC 1123.
| class Cookie(object):
"""Provide a simple interface for creating, modifying, and rendering
individual HTTP cookies.
Cookie attributes are represented as normal Python object attributes.
Parsing, rendering and validation are reconfigurable per-attribute. The
default behavior is intended to comply with RFC 6265, URL-encoding illegal
characters where necessary. For example: the default behavior for the
Expires attribute is to parse strings as datetimes using parse_date,
validate that any set value is a datetime, and render the attribute per the
preferred date format in RFC 1123.
"""
def __init__(self, name, value, **kwargs):
# If we don't have or can't set a name value, we don't want to return
# junk, so we must break control flow. And we don't want to use
# InvalidCookieAttributeError, because users may want to catch that to
# suppress all complaining about funky attributes.
try:
self.name = name
except InvalidCookieAttributeError:
raise InvalidCookieError(message="invalid name for new Cookie",
data=name)
value = value or ''
try:
self.value = value
except InvalidCookieAttributeError:
raise InvalidCookieError(message="invalid value for new Cookie",
data=value)
if kwargs:
self._set_attributes(kwargs, ignore_bad_attributes=False)
def _set_attributes(self, attrs, ignore_bad_attributes=False):
for attr_name, attr_value in attrs.items():
if not attr_name in self.attribute_names:
if not ignore_bad_attributes:
raise InvalidCookieAttributeError(
attr_name, attr_value,
"unknown cookie attribute '%s'" % attr_name)
_report_unknown_attribute(attr_name)
try:
setattr(self, attr_name, attr_value)
except InvalidCookieAttributeError as error:
if not ignore_bad_attributes:
raise
_report_invalid_attribute(attr_name, attr_value, error.reason)
continue
@classmethod
def from_dict(cls, cookie_dict, ignore_bad_attributes=True):
"""Construct an instance from a dict of strings to parse.
The main difference between this and Cookie(name, value, **kwargs) is
that the values in the argument to this method are parsed.
If ignore_bad_attributes=True (default), values which did not parse
are set to '' in order to avoid passing bad data.
"""
name = cookie_dict.get('name', None)
if not name:
raise InvalidCookieError("Cookie must have name")
raw_value = cookie_dict.get('value', '')
# Absence or failure of parser here is fatal; errors in present name
# and value should be found by Cookie.__init__.
value = cls.attribute_parsers['value'](raw_value)
cookie = cls(name, value)
# Parse values from serialized formats into objects
parsed = {}
for key, value in cookie_dict.items():
# Don't want to pass name/value to _set_attributes
if key in ('name', 'value'):
continue
parser = cls.attribute_parsers.get(key)
if not parser:
# Don't let totally unknown attributes pass silently
if not ignore_bad_attributes:
raise InvalidCookieAttributeError(
key, value, "unknown cookie attribute '%s'" % key)
_report_unknown_attribute(key)
continue
try:
parsed_value = parser(value)
except Exception as e:
reason = "did not parse with %r: %r" % (parser, e)
if not ignore_bad_attributes:
raise InvalidCookieAttributeError(
key, value, reason)
_report_invalid_attribute(key, value, reason)
parsed_value = ''
parsed[key] = parsed_value
# Set the parsed objects (does object validation automatically)
cookie._set_attributes(parsed, ignore_bad_attributes)
return cookie
@classmethod
def from_string(cls, line, ignore_bad_cookies=False,
ignore_bad_attributes=True):
"Construct a Cookie object from a line of Set-Cookie header data."
cookie_dict = parse_one_response(
line, ignore_bad_cookies=ignore_bad_cookies,
ignore_bad_attributes=ignore_bad_attributes)
if not cookie_dict:
return None
return cls.from_dict(
cookie_dict, ignore_bad_attributes=ignore_bad_attributes)
def to_dict(self):
this_dict = {'name': self.name, 'value': self.value}
this_dict.update(self.attributes())
return this_dict
def validate(self, name, value):
"""Validate a cookie attribute with an appropriate validator.
The value comes in already parsed (for example, an expires value
should be a datetime). Called automatically when an attribute
value is set.
"""
validator = self.attribute_validators.get(name, None)
if validator:
return True if validator(value) else False
return True
def __setattr__(self, name, value):
"""Attributes mentioned in attribute_names get validated using
functions in attribute_validators, raising an exception on failure.
Others get left alone.
"""
if name in self.attribute_names or name in ("name", "value"):
if name == 'name' and not value:
raise InvalidCookieError(message="Cookies must have names")
# Ignore None values indicating unset attr. Other invalids should
# raise error so users of __setattr__ can learn.
if value is not None:
if not self.validate(name, value):
raise InvalidCookieAttributeError(
name, value, "did not validate with " +
repr(self.attribute_validators.get(name)))
object.__setattr__(self, name, value)
def __getattr__(self, name):
"""Provide for acting like everything in attribute_names is
automatically set to None, rather than having to do so explicitly and
only at import time.
"""
if name in self.attribute_names:
return None
raise AttributeError(name)
def attributes(self):
"""Export this cookie's attributes as a dict of encoded values.
This is an important part of the code for rendering attributes, e.g.
render_response().
"""
dictionary = {}
# Only look for attributes registered in attribute_names.
for python_attr_name, cookie_attr_name in self.attribute_names.items():
value = getattr(self, python_attr_name)
renderer = self.attribute_renderers.get(python_attr_name, None)
if renderer:
value = renderer(value)
# If renderer returns None, or it's just natively none, then the
# value is suppressed entirely - does not appear in any rendering.
if not value:
continue
dictionary[cookie_attr_name] = value
return dictionary
def render_request(self):
"""Render as a string formatted for HTTP request headers
(simple 'Cookie: ' style).
"""
# Use whatever renderers are defined for name and value.
name, value = self.name, self.value
renderer = self.attribute_renderers.get('name', None)
if renderer:
name = renderer(name)
renderer = self.attribute_renderers.get('value', None)
if renderer:
value = renderer(value)
return ''.join((name, "=", value))
def render_response(self):
"""Render as a string formatted for HTTP response headers
(detailed 'Set-Cookie: ' style).
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|
31,687 | cookies | __eq__ | null | def __eq__(self, other):
attrs = ['name', 'value'] + list(self.attribute_names.keys())
for attr in attrs:
mine = getattr(self, attr, None)
his = getattr(other, attr, None)
if isinstance(mine, bytes):
mine = mine.decode('utf-8')
if isinstance(his, bytes):
his = his.decode('utf-8')
if attr == 'domain':
if mine and mine[0] == '.':
mine = mine[1:]
if his and his[0] == '.':
his = his[1:]
if mine != his:
return False
return True
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|
31,688 | cookies | __getattr__ | Provide for acting like everything in attribute_names is
automatically set to None, rather than having to do so explicitly and
only at import time.
| def __getattr__(self, name):
"""Provide for acting like everything in attribute_names is
automatically set to None, rather than having to do so explicitly and
only at import time.
"""
if name in self.attribute_names:
return None
raise AttributeError(name)
| (self, name) | [
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|
31,689 | cookies | __init__ | null | def __init__(self, name, value, **kwargs):
# If we don't have or can't set a name value, we don't want to return
# junk, so we must break control flow. And we don't want to use
# InvalidCookieAttributeError, because users may want to catch that to
# suppress all complaining about funky attributes.
try:
self.name = name
except InvalidCookieAttributeError:
raise InvalidCookieError(message="invalid name for new Cookie",
data=name)
value = value or ''
try:
self.value = value
except InvalidCookieAttributeError:
raise InvalidCookieError(message="invalid value for new Cookie",
data=value)
if kwargs:
self._set_attributes(kwargs, ignore_bad_attributes=False)
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|
31,691 | cookies | __setattr__ | Attributes mentioned in attribute_names get validated using
functions in attribute_validators, raising an exception on failure.
Others get left alone.
| def __setattr__(self, name, value):
"""Attributes mentioned in attribute_names get validated using
functions in attribute_validators, raising an exception on failure.
Others get left alone.
"""
if name in self.attribute_names or name in ("name", "value"):
if name == 'name' and not value:
raise InvalidCookieError(message="Cookies must have names")
# Ignore None values indicating unset attr. Other invalids should
# raise error so users of __setattr__ can learn.
if value is not None:
if not self.validate(name, value):
raise InvalidCookieAttributeError(
name, value, "did not validate with " +
repr(self.attribute_validators.get(name)))
object.__setattr__(self, name, value)
| (self, name, value) | [
-0.004430258646607399,
0.03553248196840286,
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|
31,692 | cookies | _set_attributes | null | def _set_attributes(self, attrs, ignore_bad_attributes=False):
for attr_name, attr_value in attrs.items():
if not attr_name in self.attribute_names:
if not ignore_bad_attributes:
raise InvalidCookieAttributeError(
attr_name, attr_value,
"unknown cookie attribute '%s'" % attr_name)
_report_unknown_attribute(attr_name)
try:
setattr(self, attr_name, attr_value)
except InvalidCookieAttributeError as error:
if not ignore_bad_attributes:
raise
_report_invalid_attribute(attr_name, attr_value, error.reason)
continue
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|
31,693 | cookies | attributes | Export this cookie's attributes as a dict of encoded values.
This is an important part of the code for rendering attributes, e.g.
render_response().
| def attributes(self):
"""Export this cookie's attributes as a dict of encoded values.
This is an important part of the code for rendering attributes, e.g.
render_response().
"""
dictionary = {}
# Only look for attributes registered in attribute_names.
for python_attr_name, cookie_attr_name in self.attribute_names.items():
value = getattr(self, python_attr_name)
renderer = self.attribute_renderers.get(python_attr_name, None)
if renderer:
value = renderer(value)
# If renderer returns None, or it's just natively none, then the
# value is suppressed entirely - does not appear in any rendering.
if not value:
continue
dictionary[cookie_attr_name] = value
return dictionary
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|
31,694 | cookies | render_request | Render as a string formatted for HTTP request headers
(simple 'Cookie: ' style).
| def render_request(self):
"""Render as a string formatted for HTTP request headers
(simple 'Cookie: ' style).
"""
# Use whatever renderers are defined for name and value.
name, value = self.name, self.value
renderer = self.attribute_renderers.get('name', None)
if renderer:
name = renderer(name)
renderer = self.attribute_renderers.get('value', None)
if renderer:
value = renderer(value)
return ''.join((name, "=", value))
| (self) | [
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|
31,695 | cookies | render_response | Render as a string formatted for HTTP response headers
(detailed 'Set-Cookie: ' style).
| def render_response(self):
"""Render as a string formatted for HTTP response headers
(detailed 'Set-Cookie: ' style).
"""
# Use whatever renderers are defined for name and value.
# (.attributes() is responsible for all other rendering.)
name, value = self.name, self.value
renderer = self.attribute_renderers.get('name', None)
if renderer:
name = renderer(name)
renderer = self.attribute_renderers.get('value', None)
if renderer:
value = renderer(value)
return '; '.join(
['{0}={1}'.format(name, value)] +
[key if isinstance(val, bool) else '='.join((key, val))
for key, val in self.attributes().items()]
)
| (self) | [
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|
31,696 | cookies | to_dict | null | def to_dict(self):
this_dict = {'name': self.name, 'value': self.value}
this_dict.update(self.attributes())
return this_dict
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|
31,697 | cookies | validate | Validate a cookie attribute with an appropriate validator.
The value comes in already parsed (for example, an expires value
should be a datetime). Called automatically when an attribute
value is set.
| def validate(self, name, value):
"""Validate a cookie attribute with an appropriate validator.
The value comes in already parsed (for example, an expires value
should be a datetime). Called automatically when an attribute
value is set.
"""
validator = self.attribute_validators.get(name, None)
if validator:
return True if validator(value) else False
return True
| (self, name, value) | [
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|
31,698 | cookies | CookieError | Base class for this module's exceptions, so you can catch them all if
you want to.
| class CookieError(Exception):
"""Base class for this module's exceptions, so you can catch them all if
you want to.
"""
def __init__(self):
Exception.__init__(self)
| () | [
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|
31,699 | cookies | __init__ | null | def __init__(self):
Exception.__init__(self)
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|
31,700 | cookies | Cookies | Represent a set of cookies indexed by name.
This class bundles together a set of Cookie objects and provides
a convenient interface to them. for parsing and producing cookie headers.
In basic operation it acts just like a dict of Cookie objects, but it adds
additional convenience methods for the usual cookie tasks: add cookie
objects by their names, create new cookie objects under specified names,
parse HTTP request or response data into new cookie objects automatically
stored in the dict, and render the set in formats suitable for HTTP request
or response headers.
| class Cookies(dict):
"""Represent a set of cookies indexed by name.
This class bundles together a set of Cookie objects and provides
a convenient interface to them. for parsing and producing cookie headers.
In basic operation it acts just like a dict of Cookie objects, but it adds
additional convenience methods for the usual cookie tasks: add cookie
objects by their names, create new cookie objects under specified names,
parse HTTP request or response data into new cookie objects automatically
stored in the dict, and render the set in formats suitable for HTTP request
or response headers.
"""
DEFAULT_COOKIE_CLASS = Cookie
def __init__(self, *args, **kwargs):
dict.__init__(self)
self.all_cookies = []
self.cookie_class = kwargs.get(
"_cookie_class", self.DEFAULT_COOKIE_CLASS)
self.add(*args, **kwargs)
def add(self, *args, **kwargs):
"""Add Cookie objects by their names, or create new ones under
specified names.
Any unnamed arguments are interpreted as existing cookies, and
are added under the value in their .name attribute. With keyword
arguments, the key is interpreted as the cookie name and the
value as the UNENCODED value stored in the cookie.
"""
# Only the first one is accessible through the main interface,
# others accessible through get_all (all_cookies).
for cookie in args:
self.all_cookies.append(cookie)
if cookie.name in self:
continue
self[cookie.name] = cookie
for key, value in kwargs.items():
cookie = self.cookie_class(key, value)
self.all_cookies.append(cookie)
if key in self:
continue
self[key] = cookie
def get_all(self, key):
return [cookie for cookie in self.all_cookies
if cookie.name == key]
def parse_request(self, header_data, ignore_bad_cookies=False):
"""Parse 'Cookie' header data into Cookie objects, and add them to
this Cookies object.
:arg header_data: string containing only 'Cookie:' request headers or
header values (as in CGI/WSGI HTTP_COOKIE); if more than one, they must
be separated by CRLF (\\r\\n).
:arg ignore_bad_cookies: if set, will log each syntactically invalid
cookie (at the granularity of semicolon-delimited blocks) rather than
raising an exception at the first bad cookie.
:returns: a Cookies instance containing Cookie objects parsed from
header_data.
.. note::
If you want to parse 'Set-Cookie:' response headers, please use
parse_response instead. parse_request will happily turn 'expires=frob'
into a separate cookie without complaining, according to the grammar.
"""
cookies_dict = _parse_request(
header_data, ignore_bad_cookies=ignore_bad_cookies)
cookie_objects = []
for name, values in cookies_dict.items():
for value in values:
# Use from_dict to check name and parse value
cookie_dict = {'name': name, 'value': value}
try:
cookie = self.cookie_class.from_dict(cookie_dict)
except InvalidCookieError:
if not ignore_bad_cookies:
raise
else:
cookie_objects.append(cookie)
try:
self.add(*cookie_objects)
except InvalidCookieError:
if not ignore_bad_cookies:
raise
_report_invalid_cookie(header_data)
return self
def parse_response(self, header_data, ignore_bad_cookies=False,
ignore_bad_attributes=True):
"""Parse 'Set-Cookie' header data into Cookie objects, and add them to
this Cookies object.
:arg header_data: string containing only 'Set-Cookie:' request headers
or their corresponding header values; if more than one, they must be
separated by CRLF (\\r\\n).
:arg ignore_bad_cookies: if set, will log each syntactically invalid
cookie rather than raising an exception at the first bad cookie. (This
includes cookies which have noncompliant characters in the attribute
section).
:arg ignore_bad_attributes: defaults to True, which means to log but
not raise an error when a particular attribute is unrecognized. (This
does not necessarily mean that the attribute is invalid, although that
would often be the case.) if unset, then an error will be raised at the
first semicolon-delimited block which has an unknown attribute.
:returns: a Cookies instance containing Cookie objects parsed from
header_data, each with recognized attributes populated.
.. note::
If you want to parse 'Cookie:' headers (i.e., data like what's sent
with an HTTP request, which has only name=value pairs and no
attributes), then please use parse_request instead. Such lines often
contain multiple name=value pairs, and parse_response will throw away
the pairs after the first one, which will probably generate errors or
confusing behavior. (Since there's no perfect way to automatically
determine which kind of parsing to do, you have to tell it manually by
choosing correctly from parse_request between part_response.)
"""
cookie_dicts = _parse_response(
header_data,
ignore_bad_cookies=ignore_bad_cookies,
ignore_bad_attributes=ignore_bad_attributes)
cookie_objects = []
for cookie_dict in cookie_dicts:
cookie = self.cookie_class.from_dict(cookie_dict)
cookie_objects.append(cookie)
self.add(*cookie_objects)
return self
@classmethod
def from_request(cls, header_data, ignore_bad_cookies=False):
"Construct a Cookies object from request header data."
cookies = cls()
cookies.parse_request(
header_data, ignore_bad_cookies=ignore_bad_cookies)
return cookies
@classmethod
def from_response(cls, header_data, ignore_bad_cookies=False,
ignore_bad_attributes=True):
"Construct a Cookies object from response header data."
cookies = cls()
cookies.parse_response(
header_data,
ignore_bad_cookies=ignore_bad_cookies,
ignore_bad_attributes=ignore_bad_attributes)
return cookies
def render_request(self, sort=True):
"""Render the dict's Cookie objects into a string formatted for HTTP
request headers (simple 'Cookie: ' style).
"""
if not sort:
return ("; ".join(
cookie.render_request() for cookie in self.values()))
return ("; ".join(sorted(
cookie.render_request() for cookie in self.values())))
def render_response(self, sort=True):
"""Render the dict's Cookie objects into list of strings formatted for
HTTP response headers (detailed 'Set-Cookie: ' style).
"""
rendered = [cookie.render_response() for cookie in self.values()]
return rendered if not sort else sorted(rendered)
def __repr__(self):
return "Cookies(%s)" % ', '.join("%s=%r" % (name, cookie.value) for
(name, cookie) in self.items())
def __eq__(self, other):
"""Test if a Cookies object is globally 'equal' to another one by
seeing if it looks like a dict such that d[k] == self[k]. This depends
on each Cookie object reporting its equality correctly.
"""
if not hasattr(other, "keys"):
return False
try:
keys = sorted(set(self.keys()) | set(other.keys()))
for key in keys:
if not key in self:
return False
if not key in other:
return False
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|
31,701 | cookies | __eq__ | Test if a Cookies object is globally 'equal' to another one by
seeing if it looks like a dict such that d[k] == self[k]. This depends
on each Cookie object reporting its equality correctly.
| def __eq__(self, other):
"""Test if a Cookies object is globally 'equal' to another one by
seeing if it looks like a dict such that d[k] == self[k]. This depends
on each Cookie object reporting its equality correctly.
"""
if not hasattr(other, "keys"):
return False
try:
keys = sorted(set(self.keys()) | set(other.keys()))
for key in keys:
if not key in self:
return False
if not key in other:
return False
if self[key] != other[key]:
return False
except (TypeError, KeyError):
raise
return True
| (self, other) | [
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|
31,702 | cookies | __init__ | null | def __init__(self, *args, **kwargs):
dict.__init__(self)
self.all_cookies = []
self.cookie_class = kwargs.get(
"_cookie_class", self.DEFAULT_COOKIE_CLASS)
self.add(*args, **kwargs)
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|
31,704 | cookies | __repr__ | null | def __repr__(self):
return "Cookies(%s)" % ', '.join("%s=%r" % (name, cookie.value) for
(name, cookie) in self.items())
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|
31,705 | cookies | add | Add Cookie objects by their names, or create new ones under
specified names.
Any unnamed arguments are interpreted as existing cookies, and
are added under the value in their .name attribute. With keyword
arguments, the key is interpreted as the cookie name and the
value as the UNENCODED value stored in the cookie.
| def add(self, *args, **kwargs):
"""Add Cookie objects by their names, or create new ones under
specified names.
Any unnamed arguments are interpreted as existing cookies, and
are added under the value in their .name attribute. With keyword
arguments, the key is interpreted as the cookie name and the
value as the UNENCODED value stored in the cookie.
"""
# Only the first one is accessible through the main interface,
# others accessible through get_all (all_cookies).
for cookie in args:
self.all_cookies.append(cookie)
if cookie.name in self:
continue
self[cookie.name] = cookie
for key, value in kwargs.items():
cookie = self.cookie_class(key, value)
self.all_cookies.append(cookie)
if key in self:
continue
self[key] = cookie
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|
31,706 | cookies | get_all | null | def get_all(self, key):
return [cookie for cookie in self.all_cookies
if cookie.name == key]
| (self, key) | [
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|
31,707 | cookies | parse_request | Parse 'Cookie' header data into Cookie objects, and add them to
this Cookies object.
:arg header_data: string containing only 'Cookie:' request headers or
header values (as in CGI/WSGI HTTP_COOKIE); if more than one, they must
be separated by CRLF (\r\n).
:arg ignore_bad_cookies: if set, will log each syntactically invalid
cookie (at the granularity of semicolon-delimited blocks) rather than
raising an exception at the first bad cookie.
:returns: a Cookies instance containing Cookie objects parsed from
header_data.
.. note::
If you want to parse 'Set-Cookie:' response headers, please use
parse_response instead. parse_request will happily turn 'expires=frob'
into a separate cookie without complaining, according to the grammar.
| def parse_request(self, header_data, ignore_bad_cookies=False):
"""Parse 'Cookie' header data into Cookie objects, and add them to
this Cookies object.
:arg header_data: string containing only 'Cookie:' request headers or
header values (as in CGI/WSGI HTTP_COOKIE); if more than one, they must
be separated by CRLF (\\r\\n).
:arg ignore_bad_cookies: if set, will log each syntactically invalid
cookie (at the granularity of semicolon-delimited blocks) rather than
raising an exception at the first bad cookie.
:returns: a Cookies instance containing Cookie objects parsed from
header_data.
.. note::
If you want to parse 'Set-Cookie:' response headers, please use
parse_response instead. parse_request will happily turn 'expires=frob'
into a separate cookie without complaining, according to the grammar.
"""
cookies_dict = _parse_request(
header_data, ignore_bad_cookies=ignore_bad_cookies)
cookie_objects = []
for name, values in cookies_dict.items():
for value in values:
# Use from_dict to check name and parse value
cookie_dict = {'name': name, 'value': value}
try:
cookie = self.cookie_class.from_dict(cookie_dict)
except InvalidCookieError:
if not ignore_bad_cookies:
raise
else:
cookie_objects.append(cookie)
try:
self.add(*cookie_objects)
except InvalidCookieError:
if not ignore_bad_cookies:
raise
_report_invalid_cookie(header_data)
return self
| (self, header_data, ignore_bad_cookies=False) | [
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|
31,708 | cookies | parse_response | Parse 'Set-Cookie' header data into Cookie objects, and add them to
this Cookies object.
:arg header_data: string containing only 'Set-Cookie:' request headers
or their corresponding header values; if more than one, they must be
separated by CRLF (\r\n).
:arg ignore_bad_cookies: if set, will log each syntactically invalid
cookie rather than raising an exception at the first bad cookie. (This
includes cookies which have noncompliant characters in the attribute
section).
:arg ignore_bad_attributes: defaults to True, which means to log but
not raise an error when a particular attribute is unrecognized. (This
does not necessarily mean that the attribute is invalid, although that
would often be the case.) if unset, then an error will be raised at the
first semicolon-delimited block which has an unknown attribute.
:returns: a Cookies instance containing Cookie objects parsed from
header_data, each with recognized attributes populated.
.. note::
If you want to parse 'Cookie:' headers (i.e., data like what's sent
with an HTTP request, which has only name=value pairs and no
attributes), then please use parse_request instead. Such lines often
contain multiple name=value pairs, and parse_response will throw away
the pairs after the first one, which will probably generate errors or
confusing behavior. (Since there's no perfect way to automatically
determine which kind of parsing to do, you have to tell it manually by
choosing correctly from parse_request between part_response.)
| def parse_response(self, header_data, ignore_bad_cookies=False,
ignore_bad_attributes=True):
"""Parse 'Set-Cookie' header data into Cookie objects, and add them to
this Cookies object.
:arg header_data: string containing only 'Set-Cookie:' request headers
or their corresponding header values; if more than one, they must be
separated by CRLF (\\r\\n).
:arg ignore_bad_cookies: if set, will log each syntactically invalid
cookie rather than raising an exception at the first bad cookie. (This
includes cookies which have noncompliant characters in the attribute
section).
:arg ignore_bad_attributes: defaults to True, which means to log but
not raise an error when a particular attribute is unrecognized. (This
does not necessarily mean that the attribute is invalid, although that
would often be the case.) if unset, then an error will be raised at the
first semicolon-delimited block which has an unknown attribute.
:returns: a Cookies instance containing Cookie objects parsed from
header_data, each with recognized attributes populated.
.. note::
If you want to parse 'Cookie:' headers (i.e., data like what's sent
with an HTTP request, which has only name=value pairs and no
attributes), then please use parse_request instead. Such lines often
contain multiple name=value pairs, and parse_response will throw away
the pairs after the first one, which will probably generate errors or
confusing behavior. (Since there's no perfect way to automatically
determine which kind of parsing to do, you have to tell it manually by
choosing correctly from parse_request between part_response.)
"""
cookie_dicts = _parse_response(
header_data,
ignore_bad_cookies=ignore_bad_cookies,
ignore_bad_attributes=ignore_bad_attributes)
cookie_objects = []
for cookie_dict in cookie_dicts:
cookie = self.cookie_class.from_dict(cookie_dict)
cookie_objects.append(cookie)
self.add(*cookie_objects)
return self
| (self, header_data, ignore_bad_cookies=False, ignore_bad_attributes=True) | [
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|
31,709 | cookies | render_request | Render the dict's Cookie objects into a string formatted for HTTP
request headers (simple 'Cookie: ' style).
| def render_request(self, sort=True):
"""Render the dict's Cookie objects into a string formatted for HTTP
request headers (simple 'Cookie: ' style).
"""
if not sort:
return ("; ".join(
cookie.render_request() for cookie in self.values()))
return ("; ".join(sorted(
cookie.render_request() for cookie in self.values())))
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|
31,710 | cookies | render_response | Render the dict's Cookie objects into list of strings formatted for
HTTP response headers (detailed 'Set-Cookie: ' style).
| def render_response(self, sort=True):
"""Render the dict's Cookie objects into list of strings formatted for
HTTP response headers (detailed 'Set-Cookie: ' style).
"""
rendered = [cookie.render_response() for cookie in self.values()]
return rendered if not sort else sorted(rendered)
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|
31,711 | cookies | Definitions | Namespace to hold definitions used in cookie parsing (mostly pieces of
regex).
These are separated out for individual testing against examples and RFC
grammar, and kept here to avoid cluttering other namespaces.
| class Definitions(object):
"""Namespace to hold definitions used in cookie parsing (mostly pieces of
regex).
These are separated out for individual testing against examples and RFC
grammar, and kept here to avoid cluttering other namespaces.
"""
# Most of the following are set down or cited in RFC 6265 4.1.1
# This is the grammar's 'cookie-name' defined as 'token' per RFC 2616 2.2.
COOKIE_NAME = r"!#$%&'*+\-.0-9A-Z^_`a-z|~"
# 'cookie-octet' - as used twice in definition of 'cookie-value'
COOKIE_OCTET = r"\x21\x23-\x2B\--\x3A\x3C-\x5B\]-\x7E"
# extension-av - also happens to be a superset of cookie-av and path-value
EXTENSION_AV = """ !"#$%&\\\\'()*+,\-./0-9:<=>?@A-Z[\\]^_`a-z{|}~"""
# This is for the first pass parse on a Set-Cookie: response header. It
# includes cookie-value, cookie-pair, set-cookie-string, cookie-av.
# extension-av is used to extract the chunk containing variable-length,
# unordered attributes. The second pass then uses ATTR to break out each
# attribute and extract it appropriately.
# As compared with the RFC production grammar, it is must more liberal with
# space characters, in order not to break on data made by barbarians.
SET_COOKIE_HEADER = """(?x) # Verbose mode
^(?:Set-Cookie:[ ]*)?
(?P<name>[{name}:]+)
[ ]*=[ ]*
# Accept anything in quotes - this is not RFC 6265, but might ease
# working with older code that half-heartedly works with 2965. Accept
# spaces inside tokens up front, so we can deal with that error one
# cookie at a time, after this first pass.
(?P<value>(?:"{value}*")|(?:[{cookie_octet} ]*))
[ ]*
# Extract everything up to the end in one chunk, which will be broken
# down in the second pass. Don't match if there's any unexpected
# garbage at the end (hence the \Z; $ matches before newline).
(?P<attrs>(?:;[ ]*[{cookie_av}]+)*)
""".format(name=COOKIE_NAME, cookie_av=EXTENSION_AV + ";",
cookie_octet=COOKIE_OCTET, value="[^;]")
# Now we specify the individual patterns for the attribute extraction pass
# of Set-Cookie parsing (mapping to *-av in the RFC grammar). Things which
# don't match any of these but are in extension-av are simply ignored;
# anything else should be rejected in the first pass (SET_COOKIE_HEADER).
# Max-Age attribute. These are digits, they are expressed this way
# because that is how they are expressed in the RFC.
MAX_AGE_AV = "Max-Age=(?P<max_age>[\x30-\x39]+)"
# Domain attribute; a label is one part of the domain
LABEL = '{let_dig}(?:(?:{let_dig_hyp}+)?{let_dig})?'.format(
let_dig="[A-Za-z0-9]", let_dig_hyp="[0-9A-Za-z\-]")
DOMAIN = "\.?(?:{label}\.)*(?:{label})".format(label=LABEL)
# Parse initial period though it's wrong, as RFC 6265 4.1.2.3
DOMAIN_AV = "Domain=(?P<domain>{domain})".format(domain=DOMAIN)
# Path attribute. We don't take special care with quotes because
# they are hardly used, they don't allow invalid characters per RFC 6265,
# and " is a valid character to occur in a path value anyway.
PATH_AV = 'Path=(?P<path>[%s]+)' % EXTENSION_AV
# Expires attribute. This gets big because of date parsing, which needs to
# support a large range of formats, so it's broken down into pieces.
# Generate a mapping of months to use in render/parse, to avoid
# localizations which might be produced by strftime (e.g. %a -> Mayo)
month_list = ["January", "February", "March", "April", "May", "June",
"July", "August", "September", "October", "November",
"December"]
month_abbr_list = [item[:3] for item in month_list]
month_numbers = {}
for index, name in enumerate(month_list):
name = name.lower()
month_numbers[name[:3]] = index + 1
month_numbers[name] = index + 1
# Use the same list to create regexps for months.
MONTH_SHORT = "(?:" + "|".join(item[:3] for item in month_list) + ")"
MONTH_LONG = "(?:" + "|".join(item for item in month_list) + ")"
# Same drill with weekdays, for the same reason.
weekday_list = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday",
"Saturday", "Sunday"]
weekday_abbr_list = [item[:3] for item in weekday_list]
WEEKDAY_SHORT = "(?:" + "|".join(item[:3] for item in weekday_list) + ")"
WEEKDAY_LONG = "(?:" + "|".join(item for item in weekday_list) + ")"
# This regexp tries to exclude obvious nonsense in the first pass.
DAY_OF_MONTH = "(?:[0 ]?[1-9]|[12][0-9]|[3][01])(?!\d)"
# Here is the overall date format; ~99% of cases fold into one generalized
# syntax like RFC 1123, and many of the rest use asctime-like formats.
# (see test_date_formats for a full exegesis)
DATE = """(?ix) # Case-insensitive mode, verbose mode
(?:
(?P<weekday>(?:{wdy}|{weekday}),[ ])?
(?P<day>{day})
[ \-]
(?P<month>{mon}|{month})
[ \-]
# This does not support 3-digit years, which are rare and don't
# seem to have one canonical interpretation.
(?P<year>(?:\d{{2}}|\d{{4}}))
[ ]
# HH:MM[:SS] GMT
(?P<hour>(?:[ 0][0-9]|[01][0-9]|2[0-3]))
:(?P<minute>(?:0[0-9]|[1-5][0-9]))
(?::(?P<second>\d{{2}}))?
[ ]GMT
|
# Support asctime format, e.g. 'Sun Nov 6 08:49:37 1994'
(?P<weekday2>{wdy})[ ]
(?P<month2>{mon})[ ]
(?P<day2>[ ]\d|\d\d)[ ]
(?P<hour2>\d\d):
(?P<minute2>\d\d)
(?::(?P<second2>\d\d)?)[ ]
(?P<year2>\d\d\d\d)
(?:[ ]GMT)? # GMT (Amazon)
)
"""
DATE = DATE.format(wdy=WEEKDAY_SHORT, weekday=WEEKDAY_LONG,
day=DAY_OF_MONTH, mon=MONTH_SHORT, month=MONTH_LONG)
EXPIRES_AV = "Expires=(?P<expires>%s)" % DATE
# Now we're ready to define a regexp which can match any number of attrs
# in the variable portion of the Set-Cookie header (like the unnamed latter
# part of set-cookie-string in the grammar). Each regexp of any complexity
# is split out for testing by itself.
ATTR = """(?ix) # Case-insensitive mode, verbose mode
# Always start with start or semicolon and any number of spaces
(?:^|;)[ ]*(?:
# Big disjunction of attribute patterns (*_AV), with named capture
# groups to extract everything in one pass. Anything unrecognized
# goes in the 'unrecognized' capture group for reporting.
{expires}
|{max_age}
|{domain}
|{path}
|(?P<secure>Secure=?)
|(?P<httponly>HttpOnly=?)
|Version=(?P<version>[{stuff}]+)
|Comment=(?P<comment>[{stuff}]+)
|(?P<unrecognized>[{stuff}]+)
)
# End with any number of spaces not matched by the preceding (up to the
# next semicolon) - but do not capture these.
[ ]*
""".format(expires=EXPIRES_AV, max_age=MAX_AGE_AV, domain=DOMAIN_AV,
path=PATH_AV, stuff=EXTENSION_AV)
# For request data ("Cookie: ") parsing, with finditer cf. RFC 6265 4.2.1
COOKIE = """(?x) # Verbose mode
(?: # Either something close to valid...
# Match starts at start of string, or at separator.
# Split on comma for the sake of legacy code (RFC 2109/2965),
# and since it only breaks when invalid commas are put in values.
# see http://bugs.python.org/issue1210326
(?:^Cookie:|^|;|,)
# 1 or more valid token characters making up the name (captured)
# with colon added to accommodate users of some old Java apps, etc.
[ ]*
(?P<name>[{name}:]+)
[ ]*
=
[ ]*
# While 6265 provides only for cookie-octet, this allows just about
# anything in quotes (like in RFC 2616); people stuck on RFC
# 2109/2965 will expect it | () | [
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|
31,712 | cookies | InvalidCookieAttributeError | Raised when setting an invalid attribute on a Cookie.
| class InvalidCookieAttributeError(CookieError):
"""Raised when setting an invalid attribute on a Cookie.
"""
def __init__(self, name, value, reason=None):
CookieError.__init__(self)
self.name = name
self.value = value
self.reason = reason
def __str__(self):
prefix = ("%s: " % self.reason) if self.reason else ""
if self.name is None:
return '%s%r' % (prefix, self.value)
return '%s%r = %r' % (prefix, self.name, self.value)
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31,713 | cookies | __init__ | null | def __init__(self, name, value, reason=None):
CookieError.__init__(self)
self.name = name
self.value = value
self.reason = reason
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31,714 | cookies | __str__ | null | def __str__(self):
prefix = ("%s: " % self.reason) if self.reason else ""
if self.name is None:
return '%s%r' % (prefix, self.value)
return '%s%r = %r' % (prefix, self.name, self.value)
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]
|
31,715 | cookies | InvalidCookieError | Raised when attempting to parse or construct a cookie which is
syntactically invalid (in any way that has possibly serious implications).
| class InvalidCookieError(CookieError):
"""Raised when attempting to parse or construct a cookie which is
syntactically invalid (in any way that has possibly serious implications).
"""
def __init__(self, data=None, message=""):
CookieError.__init__(self)
self.data = data
self.message = message
def __str__(self):
return '%r %r' % (self.message, self.data)
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|
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