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_transformer.pyx
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_transformer.pyx
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include "base.pxi"
cimport cython
from cpython.mem cimport PyMem_Free, PyMem_Malloc
import copy
import re
import warnings
from collections import namedtuple
from pyproj._compat cimport cstrencode
from pyproj._crs cimport (
_CRS,
Base,
CoordinateOperation,
_get_concatenated_operations,
_to_proj4,
create_area_of_use,
)
from pyproj._datadir cimport pyproj_context_create, pyproj_context_destroy
from pyproj._datadir import _LOGGER
from pyproj.aoi import AreaOfInterest
from pyproj.enums import ProjVersion, TransformDirection
from pyproj.exceptions import ProjError
# version number string for PROJ
proj_version_str = f"{PROJ_VERSION_MAJOR}.{PROJ_VERSION_MINOR}.{PROJ_VERSION_PATCH}"
_AUTH_CODE_RE = re.compile(r"(?P<authority>\w+)\:(?P<code>\w+)")
cdef str pyproj_errno_string(PJ_CONTEXT* ctx, int err):
# https://github.com/pyproj4/pyproj/issues/760
IF CTE_PROJ_VERSION_MAJOR >= 8:
return proj_context_errno_string(ctx, err)
ELSE:
return proj_errno_string(err)
cdef dict _PJ_DIRECTION_MAP = {
TransformDirection.FORWARD: PJ_FWD,
TransformDirection.INVERSE: PJ_INV,
TransformDirection.IDENT: PJ_IDENT,
}
cdef dict _TRANSFORMER_TYPE_MAP = {
PJ_TYPE_UNKNOWN: "Unknown Transformer",
PJ_TYPE_CONVERSION: "Conversion Transformer",
PJ_TYPE_TRANSFORMATION: "Transformation Transformer",
PJ_TYPE_CONCATENATED_OPERATION: "Concatenated Operation Transformer",
PJ_TYPE_OTHER_COORDINATE_OPERATION: "Other Coordinate Operation Transformer",
}
Factors = namedtuple(
"Factors",
[
"meridional_scale",
"parallel_scale",
"areal_scale",
"angular_distortion",
"meridian_parallel_angle",
"meridian_convergence",
"tissot_semimajor",
"tissot_semiminor",
"dx_dlam",
"dx_dphi",
"dy_dlam",
"dy_dphi",
],
)
Factors.__doc__ = """
.. versionadded:: 2.6.0
These are the scaling and angular distortion factors.
See PROJ :c:type:`PJ_FACTORS` documentation.
Parameters
----------
meridional_scale: List[float]
Meridional scale at coordinate.
parallel_scale: List[float]
Parallel scale at coordinate.
areal_scale: List[float]
Areal scale factor at coordinate.
angular_distortion: List[float]
Angular distortion at coordinate.
meridian_parallel_angle: List[float]
Meridian/parallel angle at coordinate.
meridian_convergence: List[float]
Meridian convergence at coordinate. Sometimes also described as *grid declination*.
tissot_semimajor: List[float]
Maximum scale factor.
tissot_semiminor: List[float]
Minimum scale factor.
dx_dlam: List[float]
Partial derivative of coordinate.
dx_dphi: List[float]
Partial derivative of coordinate.
dy_dlam: List[float]
Partial derivative of coordinate.
dy_dphi: List[float]
Partial derivative of coordinate.
"""
cdef class _TransformerGroup:
def __cinit__(self):
self.context = NULL
self._transformers = []
self._unavailable_operations = []
self._best_available = True
def __dealloc__(self):
"""destroy projection definition"""
if self.context != NULL:
pyproj_context_destroy(self.context)
def __init__(
self,
_CRS crs_from not None,
_CRS crs_to not None,
bint always_xy=False,
area_of_interest=None,
):
"""
From PROJ docs:
The operations are sorted with the most relevant ones first: by
descending area (intersection of the transformation area with the
area of interest, or intersection of the transformation with the
area of use of the CRS), and by increasing accuracy. Operations
with unknown accuracy are sorted last, whatever their area.
"""
self.context = pyproj_context_create()
cdef PJ_OPERATION_FACTORY_CONTEXT* operation_factory_context = NULL
cdef PJ_OBJ_LIST * pj_operations = NULL
cdef PJ* pj_transform = NULL
cdef PJ_CONTEXT* context = NULL
cdef int num_operations = 0
cdef int is_instantiable = 0
cdef double west_lon_degree, south_lat_degree, east_lon_degree, north_lat_degree
try:
operation_factory_context = proj_create_operation_factory_context(
self.context,
NULL,
)
if area_of_interest is not None:
if not isinstance(area_of_interest, AreaOfInterest):
raise ProjError(
"Area of interest must be of the type "
"pyproj.transformer.AreaOfInterest."
)
west_lon_degree = area_of_interest.west_lon_degree
south_lat_degree = area_of_interest.south_lat_degree
east_lon_degree = area_of_interest.east_lon_degree
north_lat_degree = area_of_interest.north_lat_degree
proj_operation_factory_context_set_area_of_interest(
self.context,
operation_factory_context,
west_lon_degree,
south_lat_degree,
east_lon_degree,
north_lat_degree,
)
proj_operation_factory_context_set_grid_availability_use(
self.context,
operation_factory_context,
PROJ_GRID_AVAILABILITY_IGNORED,
)
proj_operation_factory_context_set_spatial_criterion(
self.context,
operation_factory_context,
PROJ_SPATIAL_CRITERION_PARTIAL_INTERSECTION
)
pj_operations = proj_create_operations(
self.context,
get_transform_crs(crs_from).projobj,
get_transform_crs(crs_to).projobj,
operation_factory_context,
)
num_operations = proj_list_get_count(pj_operations)
for iii in range(num_operations):
context = pyproj_context_create()
pj_transform = proj_list_get(
context,
pj_operations,
iii,
)
is_instantiable = proj_coordoperation_is_instantiable(
context,
pj_transform,
)
if is_instantiable:
self._transformers.append(
_Transformer._from_pj(
context,
pj_transform,
always_xy,
)
)
else:
coordinate_operation = CoordinateOperation.create(
context,
pj_transform,
)
self._unavailable_operations.append(coordinate_operation)
if iii == 0:
self._best_available = False
warnings.warn(
"Best transformation is not available due to missing "
f"{coordinate_operation.grids[0]!r}"
)
finally:
if operation_factory_context != NULL:
proj_operation_factory_context_destroy(operation_factory_context)
if pj_operations != NULL:
proj_list_destroy(pj_operations)
ProjError.clear()
cdef _CRS get_transform_crs(_CRS in_crs):
for sub_crs in in_crs.sub_crs_list:
if (
not sub_crs.type_name.startswith("Temporal") and
not sub_crs.type_name.startswith("Temporal")
):
return sub_crs.source_crs if sub_crs.is_bound else sub_crs
return in_crs.source_crs if in_crs.is_bound else in_crs
cdef PJ* proj_create_crs_to_crs(
PJ_CONTEXT *ctx,
const char *source_crs_str,
const char *target_crs_str,
PJ_AREA *area,
str authority,
str accuracy,
allow_ballpark,
):
"""
This is the same as proj_create_crs_to_crs in proj.h
with the options added. It is a hack for stabilily
reasons.
Reference: https://github.com/pyproj4/pyproj/pull/800
"""
cdef PJ *source_crs = proj_create(ctx, source_crs_str)
if source_crs == NULL:
_LOGGER.debug(
"PROJ_DEBUG: proj_create_crs_to_crs: Cannot instantiate source_crs"
)
return NULL
cdef PJ *target_crs = proj_create(ctx, target_crs_str)
if target_crs == NULL:
proj_destroy(source_crs)
_LOGGER.debug(
"PROJ_DEBUG: proj_create_crs_to_crs: Cannot instantiate target_crs"
)
return NULL
cdef const char* options[4]
cdef bytes b_authority
cdef bytes b_accuracy
cdef int options_index = 0
options[0] = NULL
options[1] = NULL
options[2] = NULL
options[3] = NULL
if authority is not None:
if PROJ_VERSION_MAJOR < 8:
warnings.warn("authority requires PROJ 8+")
b_authority = cstrencode(f"AUTHORITY={authority}")
options[options_index] = b_authority
options_index += 1
if accuracy is not None:
if PROJ_VERSION_MAJOR < 8:
warnings.warn("accuracy requires PROJ 8+")
b_accuracy = cstrencode(f"ACCURACY={accuracy}")
options[options_index] = b_accuracy
options_index += 1
if allow_ballpark is not None:
if PROJ_VERSION_MAJOR < 8:
warnings.warn("allow_ballpark requires PROJ 8+")
if not allow_ballpark:
options[options_index] = b"ALLOW_BALLPARK=NO"
cdef PJ* transform = proj_create_crs_to_crs_from_pj(
ctx,
source_crs,
target_crs,
area,
options,
)
proj_destroy(source_crs)
proj_destroy(target_crs)
return transform
cdef class PySimpleArray:
cdef double* data
cdef public Py_ssize_t len
def __cinit__(self):
self.data = NULL
def __init__(self, Py_ssize_t arr_len):
self.len = arr_len
self.data = <double*> PyMem_Malloc(arr_len * sizeof(double))
if self.data == NULL:
raise MemoryError("error creating array for pyproj")
def __dealloc__(self):
PyMem_Free(self.data)
self.data = NULL
@cython.boundscheck(False)
@cython.wraparound(False)
cdef double simple_min(double* data, Py_ssize_t arr_len) nogil:
cdef int iii = 0
cdef double min_value = data[0]
for iii in range(1, arr_len):
if data[iii] < min_value:
min_value = data[iii]
return min_value
@cython.boundscheck(False)
@cython.wraparound(False)
cdef double simple_max(double* data, Py_ssize_t arr_len) nogil:
cdef int iii = 0
cdef double max_value = data[0]
for iii in range(1, arr_len):
if (data[iii] > max_value or max_value == HUGE_VAL) and data[iii] != HUGE_VAL:
max_value = data[iii]
return max_value
@cython.boundscheck(False)
@cython.wraparound(False)
cdef int _find_previous_index(int iii, double* data, int arr_len) nogil:
# find index of nearest valid previous value if exists
cdef int prev_iii = iii - 1
if prev_iii == -1: # handle wraparound
prev_iii = arr_len - 1
while data[prev_iii] == HUGE_VAL and prev_iii != iii:
prev_iii -= 1
if prev_iii == -1: # handle wraparound
prev_iii = arr_len - 1
return prev_iii
@cython.boundscheck(False)
@cython.wraparound(False)
cdef double antimeridian_min(double* data, Py_ssize_t arr_len) nogil:
"""
Handles the case when longitude values cross the antimeridian
when calculating the minumum.
Note: The data array must be in a linear ring.
Note: This requires a densified ring with at least 2 additional
points per edge to correctly handle global extents.
If only 1 additional point:
| |
|RL--x0--|RL--
| |
-180 180|-180
If they are evenly spaced and it crosses the antimeridian:
x0 - L = 180
R - x0 = -180
For example:
Let R = -179.9, x0 = 0.1, L = -179.89
x0 - L = 0.1 - -179.9 = 180
R - x0 = -179.89 - 0.1 ~= -180
This is the same in the case when it didn't cross the antimeridian.
If you have 2 additional points:
| |
|RL--x0--x1--|RL--
| |
-180 180|-180
If they are evenly spaced and it crosses the antimeridian:
x0 - L = 120
x1 - x0 = 120
R - x1 = -240
For example:
Let R = -179.9, x0 = -59.9, x1 = 60.1 L = -179.89
x0 - L = 59.9 - -179.9 = 120
x1 - x0 = 60.1 - 59.9 = 120
R - x1 = -179.89 - 60.1 ~= -240
However, if they are evenly spaced and it didn't cross the antimeridian:
x0 - L = 120
x1 - x0 = 120
R - x1 = 120
From this, we have a delta that is guaranteed to be significantly
large enough to tell the difference reguarless of the direction
the antimeridian was crossed.
However, even though the spacing was even in the source projection, it isn't
guaranteed in the targed geographic projection. So, instead of 240, 200 is used
as it significantly larger than 120 to be sure that the antimeridian was crossed
but smalller than 240 to account for possible irregularities in distances
when re-projecting. Also, 200 ensures latitudes are ignored for axis order handling.
"""
cdef int iii = 0
cdef int prev_iii = arr_len - 1
cdef double positive_min = HUGE_VAL
cdef double min_value = HUGE_VAL
cdef double delta = 0
cdef int crossed_meridian_count = 0
cdef bint positive_meridian = False
for iii in range(0, arr_len):
if data[iii] == HUGE_VAL:
continue
prev_iii = _find_previous_index(iii, data, arr_len)
# check if crossed meridian
delta = data[prev_iii] - data[iii]
# 180 -> -180
if delta >= 200 and delta != HUGE_VAL:
if crossed_meridian_count == 0:
positive_min = min_value
crossed_meridian_count += 1
positive_meridian = False
# -180 -> 180
elif delta <= -200 and delta != HUGE_VAL:
if crossed_meridian_count == 0:
positive_min = data[iii]
crossed_meridian_count += 1
positive_meridian = True
# positive meridian side min
if positive_meridian and data[iii] < positive_min:
positive_min = data[iii]
# track genral min value
if data[iii] < min_value:
min_value = data[iii]
if crossed_meridian_count == 2:
return positive_min
elif crossed_meridian_count == 4:
# bounds extends beyond -180/180
return -180
return min_value
@cython.boundscheck(False)
@cython.wraparound(False)
cdef double antimeridian_max(double* data, Py_ssize_t arr_len) nogil:
"""
Handles the case when longitude values cross the antimeridian
when calculating the minumum.
Note: The data array must be in a linear ring.
Note: This requires a densified ring with at least 2 additional
points per edge to correctly handle global extents.
See antimeridian_min docstring for reasoning.
"""
cdef int iii = 0
cdef int prev_iii = arr_len - 1
cdef double negative_max = -HUGE_VAL
cdef double max_value = -HUGE_VAL
cdef double delta = 0
cdef bint negative_meridian = False
cdef int crossed_meridian_count = 0
for iii in range(0, arr_len):
if data[iii] == HUGE_VAL:
continue
prev_iii = _find_previous_index(iii, data, arr_len)
# check if crossed meridian
delta = data[prev_iii] - data[iii]
# 180 -> -180
if delta >= 200 and delta != HUGE_VAL:
if crossed_meridian_count == 0:
negative_max = data[iii]
crossed_meridian_count += 1
negative_meridian = True
# -180 -> 180
elif delta <= -200 and delta != HUGE_VAL:
if crossed_meridian_count == 0:
negative_max = max_value
negative_meridian = False
crossed_meridian_count += 1
# negative meridian side max
if (negative_meridian
and (data[iii] > negative_max or negative_max == HUGE_VAL)
and data[iii] != HUGE_VAL
):
negative_max = data[iii]
# track genral max value
if (data[iii] > max_value or max_value == HUGE_VAL) and data[iii] != HUGE_VAL:
max_value = data[iii]
if crossed_meridian_count == 2:
return negative_max
elif crossed_meridian_count == 4:
# bounds extends beyond -180/180
return 180
return max_value
cdef class _Transformer(Base):
def __cinit__(self):
self._area_of_use = None
self.type_name = "Unknown Transformer"
self._operations = None
def _initialize_from_projobj(self):
self.proj_info = proj_pj_info(self.projobj)
if self.proj_info.id == NULL:
raise ProjError("Input is not a transformation.")
cdef PJ_TYPE transformer_type = proj_get_type(self.projobj)
self.type_name = _TRANSFORMER_TYPE_MAP[transformer_type]
self._set_base_info()
ProjError.clear()
@property
def id(self):
return self.proj_info.id
@property
def description(self):
return self.proj_info.description
@property
def definition(self):
return self.proj_info.definition
@property
def has_inverse(self):
return self.proj_info.has_inverse == 1
@property
def accuracy(self):
return self.proj_info.accuracy
@property
def area_of_use(self):
"""
Returns
-------
AreaOfUse:
The area of use object with associated attributes.
"""
if self._area_of_use is not None:
return self._area_of_use
self._area_of_use = create_area_of_use(self.context, self.projobj)
return self._area_of_use
@property
def operations(self):
"""
.. versionadded:: 2.4.0
Tuple[CoordinateOperation]:
The operations in a concatenated operation.
"""
if self._operations is not None:
return self._operations
self._operations = _get_concatenated_operations(self.context, self.projobj)
return self._operations
@property
def is_network_enabled(self):
"""
.. versionadded:: 3.0.0
bool:
If the network is enabled.
"""
return proj_context_is_network_enabled(self.context) == 1
def to_proj4(self, version=ProjVersion.PROJ_5, bint pretty=False):
"""
Convert the projection to a PROJ string.
.. versionadded:: 3.1.0
Parameters
----------
version: pyproj.enums.ProjVersion, default=pyproj.enums.ProjVersion.PROJ_5
The version of the PROJ string output.
pretty: bool, default=False
If True, it will set the output to be a multiline string.
Returns
-------
str:
The PROJ string.
"""
return _to_proj4(self.context, self.projobj, version=version, pretty=pretty)
@staticmethod
def from_crs(
const char* crs_from,
const char* crs_to,
bint always_xy=False,
area_of_interest=None,
str authority=None,
str accuracy=None,
allow_ballpark=None,
):
"""
Create a transformer from CRS objects
"""
cdef PJ_AREA *pj_area_of_interest = NULL
cdef double west_lon_degree
cdef double south_lat_degree
cdef double east_lon_degree
cdef double north_lat_degree
cdef _Transformer transformer = _Transformer()
try:
if area_of_interest is not None:
if not isinstance(area_of_interest, AreaOfInterest):
raise ProjError(
"Area of interest must be of the type "
"pyproj.transformer.AreaOfInterest."
)
pj_area_of_interest = proj_area_create()
west_lon_degree = area_of_interest.west_lon_degree
south_lat_degree = area_of_interest.south_lat_degree
east_lon_degree = area_of_interest.east_lon_degree
north_lat_degree = area_of_interest.north_lat_degree
proj_area_set_bbox(
pj_area_of_interest,
west_lon_degree,
south_lat_degree,
east_lon_degree,
north_lat_degree,
)
transformer.context = pyproj_context_create()
transformer.projobj = proj_create_crs_to_crs(
transformer.context,
crs_from,
crs_to,
pj_area_of_interest,
authority=authority,
accuracy=accuracy,
allow_ballpark=allow_ballpark,
)
finally:
if pj_area_of_interest != NULL:
proj_area_destroy(pj_area_of_interest)
if transformer.projobj == NULL:
raise ProjError("Error creating Transformer from CRS.")
transformer._init_from_crs(always_xy)
return transformer
@staticmethod
cdef _Transformer _from_pj(
PJ_CONTEXT* context,
PJ *transform_pj,
bint always_xy,
):
"""
Create a Transformer from a PJ* object
"""
cdef _Transformer transformer = _Transformer()
transformer.context = context
transformer.projobj = transform_pj
if transformer.projobj == NULL:
raise ProjError("Error creating Transformer.")
transformer._init_from_crs(always_xy)
return transformer
@staticmethod
def from_pipeline(const char *proj_pipeline):
"""
Create Transformer from a PROJ pipeline string.
"""
cdef _Transformer transformer = _Transformer()
transformer.context = pyproj_context_create()
auth_match = _AUTH_CODE_RE.match(proj_pipeline.strip())
if auth_match:
# attempt to create coordinate operation from AUTH:CODE
match_data = auth_match.groupdict()
transformer.projobj = proj_create_from_database(
transformer.context,
cstrencode(match_data["authority"]),
cstrencode(match_data["code"]),
PJ_CATEGORY_COORDINATE_OPERATION,
False,
NULL,
)
if transformer.projobj == NULL:
# initialize projection
transformer.projobj = proj_create(
transformer.context,
proj_pipeline,
)
if transformer.projobj is NULL:
raise ProjError(f"Invalid projection {proj_pipeline}.")
transformer._initialize_from_projobj()
return transformer
def _set_always_xy(self):
"""
Setup the transformer so it has the axis order always in xy order.
"""
cdef PJ* always_xy_pj = proj_normalize_for_visualization(
self.context,
self.projobj,
)
proj_destroy(self.projobj)
self.projobj = always_xy_pj
def _init_from_crs(self, bint always_xy):
"""
Finish initializing transformer properties from CRS objects
"""
if always_xy:
self._set_always_xy()
self._initialize_from_projobj()
@cython.boundscheck(False)
@cython.wraparound(False)
def _transform(
self,
object inx,
object iny,
object inz,
object intime,
object direction,
bint radians,
bint errcheck,
):
if self.id == "noop":
return
tmp_pj_direction = _PJ_DIRECTION_MAP[TransformDirection.create(direction)]
cdef PJ_DIRECTION pj_direction = <PJ_DIRECTION>tmp_pj_direction
cdef PyBuffWriteManager xbuff = PyBuffWriteManager(inx)
cdef PyBuffWriteManager ybuff = PyBuffWriteManager(iny)
cdef PyBuffWriteManager zbuff
cdef Py_ssize_t buflenz
cdef double* zz
if inz is not None:
zbuff = PyBuffWriteManager(inz)
buflenz = zbuff.len
zz = zbuff.data
else:
buflenz = xbuff.len
zz = NULL
cdef PyBuffWriteManager tbuff
cdef Py_ssize_t buflent
cdef double* tt
if intime is not None:
tbuff = PyBuffWriteManager(intime)
buflent = tbuff.len
tt = tbuff.data
else:
buflent = xbuff.len
tt = NULL
if not (xbuff.len == ybuff.len == buflenz == buflent):
raise ProjError('x, y, z, and time must be same size if included.')
cdef Py_ssize_t iii
cdef int errno = 0
with nogil:
# degrees to radians
if not radians and proj_angular_input(self.projobj, pj_direction):
for iii in range(xbuff.len):
xbuff.data[iii] = xbuff.data[iii]*_DG2RAD
ybuff.data[iii] = ybuff.data[iii]*_DG2RAD
# radians to degrees
elif radians and proj_degree_input(self.projobj, pj_direction):
for iii in range(xbuff.len):
xbuff.data[iii] = xbuff.data[iii]*_RAD2DG
ybuff.data[iii] = ybuff.data[iii]*_RAD2DG
proj_errno_reset(self.projobj)
proj_trans_generic(
self.projobj,
pj_direction,
xbuff.data, _DOUBLESIZE, xbuff.len,
ybuff.data, _DOUBLESIZE, ybuff.len,
zz, _DOUBLESIZE, xbuff.len,
tt, _DOUBLESIZE, xbuff.len,
)
errno = proj_errno(self.projobj)
if errcheck and errno:
with gil:
raise ProjError(
f"transform error: {pyproj_errno_string(self.context, errno)}"
)
elif errcheck:
with gil:
if ProjError.internal_proj_error is not None:
raise ProjError("transform error")
# radians to degrees
if not radians and proj_angular_output(self.projobj, pj_direction):
for iii in range(xbuff.len):
xbuff.data[iii] = xbuff.data[iii]*_RAD2DG
ybuff.data[iii] = ybuff.data[iii]*_RAD2DG
# degrees to radians
elif radians and proj_degree_output(self.projobj, pj_direction):
for iii in range(xbuff.len):
xbuff.data[iii] = xbuff.data[iii]*_DG2RAD
ybuff.data[iii] = ybuff.data[iii]*_DG2RAD
ProjError.clear()
@cython.boundscheck(False)
@cython.wraparound(False)
def _transform_sequence(
self,
Py_ssize_t stride,
object inseq,
bint switch,
object direction,
bint time_3rd,
bint radians,
bint errcheck,
):
if self.id == "noop":
return
tmp_pj_direction = _PJ_DIRECTION_MAP[TransformDirection.create(direction)]
cdef PJ_DIRECTION pj_direction = <PJ_DIRECTION>tmp_pj_direction
# private function to itransform function
cdef double *x
cdef double *y
cdef double *z
cdef double *tt
if stride < 2:
raise ProjError("coordinates must contain at least 2 values")
cdef PyBuffWriteManager coordbuff = PyBuffWriteManager(inseq)
cdef Py_ssize_t npts, iii, jjj
cdef int errno = 0
npts = coordbuff.len // stride
with nogil:
# degrees to radians
if not radians and proj_angular_input(self.projobj, pj_direction):
for iii in range(npts):
jjj = stride * iii
coordbuff.data[jjj] *= _DG2RAD
coordbuff.data[jjj + 1] *= _DG2RAD
# radians to degrees
elif radians and proj_degree_input(self.projobj, pj_direction):
for iii in range(npts):
jjj = stride * iii
coordbuff.data[jjj] *= _RAD2DG
coordbuff.data[jjj + 1] *= _RAD2DG
if not switch:
x = coordbuff.data
y = coordbuff.data + 1
else:
x = coordbuff.data + 1
y = coordbuff.data
# z coordinate
if stride == 4 or (stride == 3 and not time_3rd):
z = coordbuff.data + 2
else:
z = NULL
# time
if stride == 3 and time_3rd:
tt = coordbuff.data + 2
elif stride == 4:
tt = coordbuff.data + 3
else:
tt = NULL
proj_errno_reset(self.projobj)
proj_trans_generic(
self.projobj,
pj_direction,
x, stride*_DOUBLESIZE, npts,
y, stride*_DOUBLESIZE, npts,
z, stride*_DOUBLESIZE, npts,
tt, stride*_DOUBLESIZE, npts,
)
errno = proj_errno(self.projobj)
if errcheck and errno:
with gil:
raise ProjError(
f"itransform error: {pyproj_errno_string(self.context, errno)}"
)
elif errcheck:
with gil:
if ProjError.internal_proj_error is not None:
raise ProjError("itransform error")
# radians to degrees
if not radians and proj_angular_output(self.projobj, pj_direction):
for iii in range(npts):
jjj = stride * iii
coordbuff.data[jjj] *= _RAD2DG
coordbuff.data[jjj + 1] *= _RAD2DG
# degrees to radians
elif radians and proj_degree_output(self.projobj, pj_direction):
for iii in range(npts):
jjj = stride * iii
coordbuff.data[jjj] *= _DG2RAD
coordbuff.data[jjj + 1] *= _DG2RAD
ProjError.clear()
@cython.boundscheck(False)
@cython.wraparound(False)
def _transform_bounds(
self,
double left,
double bottom,
double right,
double top,
int densify_pts,
bint radians,
bint errcheck,
object direction,
):
if self.id == "noop":
return (left, bottom, right, top)
if densify_pts < 0:
raise ProjError("densify_pts must be positive")
tmp_pj_direction = _PJ_DIRECTION_MAP[TransformDirection.create(direction)]
cdef PJ_DIRECTION pj_direction = <PJ_DIRECTION>tmp_pj_direction
cdef bint degree_output = proj_degree_output(self.projobj, pj_direction)
cdef bint degree_input = proj_degree_input(self.projobj, pj_direction)
if degree_output and densify_pts < 2:
raise ProjError("densify_pts must be 2+ for degree output")
cdef int side_pts = densify_pts + 1 # add one because we are densifying
cdef Py_ssize_t boundary_len = side_pts * 4
cdef PySimpleArray x_boundary_array = PySimpleArray(boundary_len)
cdef PySimpleArray y_boundary_array = PySimpleArray(boundary_len)
cdef double delta_x = 0
cdef double delta_y = 0
cdef int iii = 0
with nogil:
# degrees to radians
if not radians and proj_angular_input(self.projobj, pj_direction):
left *= _DG2RAD
bottom *= _DG2RAD
right *= _DG2RAD
top *= _DG2RAD
# radians to degrees
elif radians and degree_input:
left *= _RAD2DG
bottom *= _RAD2DG
right *= _RAD2DG
top *= _RAD2DG
if degree_input and right < left:
# handle antimeridian
delta_x = (right - left + 360.0) / side_pts
else:
delta_x = (right - left) / side_pts
if degree_input and top < bottom:
# handle antimeridian
# depending on the axis order, longitude has the potential
# to be on the y axis. It shouldn't reach here if it is latitude.
delta_y = (top - bottom + 360.0) / side_pts
else:
delta_y = (top - bottom) / side_pts
# build densified bounding box
# Note: must be a linear ring for antimeridian logic
for iii in range(side_pts):
# left boundary
y_boundary_array.data[iii] = top - iii * delta_y
x_boundary_array.data[iii] = left
# bottom boundary
y_boundary_array.data[iii + side_pts] = bottom
x_boundary_array.data[iii + side_pts] = left + iii * delta_x
# right boundary
y_boundary_array.data[iii + side_pts * 2] = bottom + iii * delta_y
x_boundary_array.data[iii + side_pts * 2] = right
# top boundary
y_boundary_array.data[iii + side_pts * 3] = top
x_boundary_array.data[iii + side_pts * 3] = right - iii * delta_x