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22,601 | scipy.interpolate._rgi | __call__ |
Interpolation at coordinates.
Parameters
----------
xi : ndarray of shape (..., ndim)
The coordinates to evaluate the interpolator at.
method : str, optional
The method of interpolation to perform. Supported are "linear",
"nearest", "slinear", "cubic", "quintic" and "pchip". Default is
the method chosen when the interpolator was created.
nu : sequence of ints, length ndim, optional
If not None, the orders of the derivatives to evaluate.
Each entry must be non-negative.
Only allowed for methods "slinear", "cubic" and "quintic".
.. versionadded:: 1.13
Returns
-------
values_x : ndarray, shape xi.shape[:-1] + values.shape[ndim:]
Interpolated values at `xi`. See notes for behaviour when
``xi.ndim == 1``.
Notes
-----
In the case that ``xi.ndim == 1`` a new axis is inserted into
the 0 position of the returned array, values_x, so its shape is
instead ``(1,) + values.shape[ndim:]``.
Examples
--------
Here we define a nearest-neighbor interpolator of a simple function
>>> import numpy as np
>>> x, y = np.array([0, 1, 2]), np.array([1, 3, 7])
>>> def f(x, y):
... return x**2 + y**2
>>> data = f(*np.meshgrid(x, y, indexing='ij', sparse=True))
>>> from scipy.interpolate import RegularGridInterpolator
>>> interp = RegularGridInterpolator((x, y), data, method='nearest')
By construction, the interpolator uses the nearest-neighbor
interpolation
>>> interp([[1.5, 1.3], [0.3, 4.5]])
array([2., 9.])
We can however evaluate the linear interpolant by overriding the
`method` parameter
>>> interp([[1.5, 1.3], [0.3, 4.5]], method='linear')
array([ 4.7, 24.3])
| def __call__(self, xi, method=None, *, nu=None):
"""
Interpolation at coordinates.
Parameters
----------
xi : ndarray of shape (..., ndim)
The coordinates to evaluate the interpolator at.
method : str, optional
The method of interpolation to perform. Supported are "linear",
"nearest", "slinear", "cubic", "quintic" and "pchip". Default is
the method chosen when the interpolator was created.
nu : sequence of ints, length ndim, optional
If not None, the orders of the derivatives to evaluate.
Each entry must be non-negative.
Only allowed for methods "slinear", "cubic" and "quintic".
.. versionadded:: 1.13
Returns
-------
values_x : ndarray, shape xi.shape[:-1] + values.shape[ndim:]
Interpolated values at `xi`. See notes for behaviour when
``xi.ndim == 1``.
Notes
-----
In the case that ``xi.ndim == 1`` a new axis is inserted into
the 0 position of the returned array, values_x, so its shape is
instead ``(1,) + values.shape[ndim:]``.
Examples
--------
Here we define a nearest-neighbor interpolator of a simple function
>>> import numpy as np
>>> x, y = np.array([0, 1, 2]), np.array([1, 3, 7])
>>> def f(x, y):
... return x**2 + y**2
>>> data = f(*np.meshgrid(x, y, indexing='ij', sparse=True))
>>> from scipy.interpolate import RegularGridInterpolator
>>> interp = RegularGridInterpolator((x, y), data, method='nearest')
By construction, the interpolator uses the nearest-neighbor
interpolation
>>> interp([[1.5, 1.3], [0.3, 4.5]])
array([2., 9.])
We can however evaluate the linear interpolant by overriding the
`method` parameter
>>> interp([[1.5, 1.3], [0.3, 4.5]], method='linear')
array([ 4.7, 24.3])
"""
method = self.method if method is None else method
is_method_changed = self.method != method
if method not in self._ALL_METHODS:
raise ValueError("Method '%s' is not defined" % method)
if is_method_changed and method in self._SPLINE_METHODS_ndbspl:
self._spline = self._construct_spline(method)
if nu is not None and method not in self._SPLINE_METHODS_ndbspl:
raise ValueError(
f"Can only compute derivatives for methods "
f"{self._SPLINE_METHODS_ndbspl}, got {method =}."
)
xi, xi_shape, ndim, nans, out_of_bounds = self._prepare_xi(xi)
if method == "linear":
indices, norm_distances = self._find_indices(xi.T)
if (ndim == 2 and hasattr(self.values, 'dtype') and
self.values.ndim == 2 and self.values.flags.writeable and
self.values.dtype in (np.float64, np.complex128) and
self.values.dtype.byteorder == '='):
# until cython supports const fused types, the fast path
# cannot support non-writeable values
# a fast path
out = np.empty(indices.shape[1], dtype=self.values.dtype)
result = evaluate_linear_2d(self.values,
indices,
norm_distances,
self.grid,
out)
else:
result = self._evaluate_linear(indices, norm_distances)
elif method == "nearest":
indices, norm_distances = self._find_indices(xi.T)
result = self._evaluate_nearest(indices, norm_distances)
elif method in self._SPLINE_METHODS:
if is_method_changed:
self._validate_grid_dimensions(self.grid, method)
if method in self._SPLINE_METHODS_recursive:
result = self._evaluate_spline(xi, method)
else:
result = self._spline(xi, nu=nu)
if not self.bounds_error and self.fill_value is not None:
result[out_of_bounds] = self.fill_value
# f(nan) = nan, if any
if np.any(nans):
result[nans] = np.nan
return result.reshape(xi_shape[:-1] + self.values.shape[ndim:])
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22,602 | scipy.interpolate._rgi | __init__ | null | def __init__(self, points, values, method="linear", bounds_error=True,
fill_value=np.nan, *, solver=None, solver_args=None):
if method not in self._ALL_METHODS:
raise ValueError("Method '%s' is not defined" % method)
elif method in self._SPLINE_METHODS:
self._validate_grid_dimensions(points, method)
self.method = method
self.bounds_error = bounds_error
self.grid, self._descending_dimensions = _check_points(points)
self.values = self._check_values(values)
self._check_dimensionality(self.grid, self.values)
self.fill_value = self._check_fill_value(self.values, fill_value)
if self._descending_dimensions:
self.values = np.flip(values, axis=self._descending_dimensions)
if self.method == "pchip" and np.iscomplexobj(self.values):
msg = ("`PchipInterpolator` only works with real values. Passing "
"complex-dtyped `values` with `method='pchip'` is deprecated "
"and will raise an error in SciPy 1.15.0. If you are trying to "
"use the real components of the passed array, use `np.real` on "
"the array before passing to `RegularGridInterpolator`.")
warnings.warn(msg, DeprecationWarning, stacklevel=2)
if method in self._SPLINE_METHODS_ndbspl:
if solver_args is None:
solver_args = {}
self._spline = self._construct_spline(method, solver, **solver_args)
else:
if solver is not None or solver_args:
raise ValueError(
f"{method =} does not accept the 'solver' argument. Got "
f" {solver = } and with arguments {solver_args}."
)
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22,603 | scipy.interpolate._rgi | _check_dimensionality | null | def _check_dimensionality(self, grid, values):
_check_dimensionality(grid, values)
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22,604 | scipy.interpolate._rgi | _check_fill_value | null | def _check_fill_value(self, values, fill_value):
if fill_value is not None:
fill_value_dtype = np.asarray(fill_value).dtype
if (hasattr(values, 'dtype') and not
np.can_cast(fill_value_dtype, values.dtype,
casting='same_kind')):
raise ValueError("fill_value must be either 'None' or "
"of a type compatible with values")
return fill_value
| (self, values, fill_value) | [
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0.015900667756795883,
0.0540158785879612,
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22,605 | scipy.interpolate._rgi | _check_points | null | def _check_points(self, points):
return _check_points(points)
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22,606 | scipy.interpolate._rgi | _check_values | null | def _check_values(self, values):
if not hasattr(values, 'ndim'):
# allow reasonable duck-typed values
values = np.asarray(values)
if hasattr(values, 'dtype') and hasattr(values, 'astype'):
if not np.issubdtype(values.dtype, np.inexact):
values = values.astype(float)
return values
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22,607 | scipy.interpolate._rgi | _construct_spline | null | def _construct_spline(self, method, solver=None, **solver_args):
if solver is None:
solver = ssl.gcrotmk
spl = make_ndbspl(
self.grid, self.values, self._SPLINE_DEGREE_MAP[method],
solver=solver, **solver_args
)
return spl
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22,608 | scipy.interpolate._rgi | _do_pchip | null | @staticmethod
def _do_pchip(x, y, pt, k):
local_interp = PchipInterpolator(x, y, axis=0)
values = local_interp(pt)
return values
| (x, y, pt, k) | [
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22,609 | scipy.interpolate._rgi | _do_spline_fit | null | @staticmethod
def _do_spline_fit(x, y, pt, k):
local_interp = make_interp_spline(x, y, k=k, axis=0)
values = local_interp(pt)
return values
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22,610 | scipy.interpolate._rgi | _evaluate_linear | null | def _evaluate_linear(self, indices, norm_distances):
# slice for broadcasting over trailing dimensions in self.values
vslice = (slice(None),) + (None,)*(self.values.ndim - len(indices))
# Compute shifting up front before zipping everything together
shift_norm_distances = [1 - yi for yi in norm_distances]
shift_indices = [i + 1 for i in indices]
# The formula for linear interpolation in 2d takes the form:
# values = self.values[(i0, i1)] * (1 - y0) * (1 - y1) + \
# self.values[(i0, i1 + 1)] * (1 - y0) * y1 + \
# self.values[(i0 + 1, i1)] * y0 * (1 - y1) + \
# self.values[(i0 + 1, i1 + 1)] * y0 * y1
# We pair i with 1 - yi (zipped1) and i + 1 with yi (zipped2)
zipped1 = zip(indices, shift_norm_distances)
zipped2 = zip(shift_indices, norm_distances)
# Take all products of zipped1 and zipped2 and iterate over them
# to get the terms in the above formula. This corresponds to iterating
# over the vertices of a hypercube.
hypercube = itertools.product(*zip(zipped1, zipped2))
value = np.array([0.])
for h in hypercube:
edge_indices, weights = zip(*h)
weight = np.array([1.])
for w in weights:
weight = weight * w
term = np.asarray(self.values[edge_indices]) * weight[vslice]
value = value + term # cannot use += because broadcasting
return value
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22,611 | scipy.interpolate._rgi | _evaluate_nearest | null | def _evaluate_nearest(self, indices, norm_distances):
idx_res = [np.where(yi <= .5, i, i + 1)
for i, yi in zip(indices, norm_distances)]
return self.values[tuple(idx_res)]
| (self, indices, norm_distances) | [
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22,612 | scipy.interpolate._rgi | _evaluate_spline | null | def _evaluate_spline(self, xi, method):
# ensure xi is 2D list of points to evaluate (`m` is the number of
# points and `n` is the number of interpolation dimensions,
# ``n == len(self.grid)``.)
if xi.ndim == 1:
xi = xi.reshape((1, xi.size))
m, n = xi.shape
# Reorder the axes: n-dimensional process iterates over the
# interpolation axes from the last axis downwards: E.g. for a 4D grid
# the order of axes is 3, 2, 1, 0. Each 1D interpolation works along
# the 0th axis of its argument array (for 1D routine it's its ``y``
# array). Thus permute the interpolation axes of `values` *and keep
# trailing dimensions trailing*.
axes = tuple(range(self.values.ndim))
axx = axes[:n][::-1] + axes[n:]
values = self.values.transpose(axx)
if method == 'pchip':
_eval_func = self._do_pchip
else:
_eval_func = self._do_spline_fit
k = self._SPLINE_DEGREE_MAP[method]
# Non-stationary procedure: difficult to vectorize this part entirely
# into numpy-level operations. Unfortunately this requires explicit
# looping over each point in xi.
# can at least vectorize the first pass across all points in the
# last variable of xi.
last_dim = n - 1
first_values = _eval_func(self.grid[last_dim],
values,
xi[:, last_dim],
k)
# the rest of the dimensions have to be on a per point-in-xi basis
shape = (m, *self.values.shape[n:])
result = np.empty(shape, dtype=self.values.dtype)
for j in range(m):
# Main process: Apply 1D interpolate in each dimension
# sequentially, starting with the last dimension.
# These are then "folded" into the next dimension in-place.
folded_values = first_values[j, ...]
for i in range(last_dim-1, -1, -1):
# Interpolate for each 1D from the last dimensions.
# This collapses each 1D sequence into a scalar.
folded_values = _eval_func(self.grid[i],
folded_values,
xi[j, i],
k)
result[j, ...] = folded_values
return result
| (self, xi, method) | [
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22,613 | scipy.interpolate._rgi | _find_indices | null | def _find_indices(self, xi):
return find_indices(self.grid, xi)
| (self, xi) | [
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22,614 | scipy.interpolate._rgi | _find_out_of_bounds | null | def _find_out_of_bounds(self, xi):
# check for out of bounds xi
out_of_bounds = np.zeros((xi.shape[1]), dtype=bool)
# iterate through dimensions
for x, grid in zip(xi, self.grid):
out_of_bounds += x < grid[0]
out_of_bounds += x > grid[-1]
return out_of_bounds
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22,615 | scipy.interpolate._rgi | _prepare_xi | null | def _prepare_xi(self, xi):
ndim = len(self.grid)
xi = _ndim_coords_from_arrays(xi, ndim=ndim)
if xi.shape[-1] != len(self.grid):
raise ValueError("The requested sample points xi have dimension "
f"{xi.shape[-1]} but this "
f"RegularGridInterpolator has dimension {ndim}")
xi_shape = xi.shape
xi = xi.reshape(-1, xi_shape[-1])
xi = np.asarray(xi, dtype=float)
# find nans in input
nans = np.any(np.isnan(xi), axis=-1)
if self.bounds_error:
for i, p in enumerate(xi.T):
if not np.logical_and(np.all(self.grid[i][0] <= p),
np.all(p <= self.grid[i][-1])):
raise ValueError("One of the requested xi is out of bounds "
"in dimension %d" % i)
out_of_bounds = None
else:
out_of_bounds = self._find_out_of_bounds(xi.T)
return xi, xi_shape, ndim, nans, out_of_bounds
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22,616 | scipy.interpolate._rgi | _validate_grid_dimensions | null | def _validate_grid_dimensions(self, points, method):
k = self._SPLINE_DEGREE_MAP[method]
for i, point in enumerate(points):
ndim = len(np.atleast_1d(point))
if ndim <= k:
raise ValueError(f"There are {ndim} points in dimension {i},"
f" but method {method} requires at least "
f" {k+1} points per dimension.")
| (self, points, method) | [
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22,617 | packaging.version | Version | This class abstracts handling of a project's versions.
A :class:`Version` instance is comparison aware and can be compared and
sorted using the standard Python interfaces.
>>> v1 = Version("1.0a5")
>>> v2 = Version("1.0")
>>> v1
<Version('1.0a5')>
>>> v2
<Version('1.0')>
>>> v1 < v2
True
>>> v1 == v2
False
>>> v1 > v2
False
>>> v1 >= v2
False
>>> v1 <= v2
True
| class Version(_BaseVersion):
"""This class abstracts handling of a project's versions.
A :class:`Version` instance is comparison aware and can be compared and
sorted using the standard Python interfaces.
>>> v1 = Version("1.0a5")
>>> v2 = Version("1.0")
>>> v1
<Version('1.0a5')>
>>> v2
<Version('1.0')>
>>> v1 < v2
True
>>> v1 == v2
False
>>> v1 > v2
False
>>> v1 >= v2
False
>>> v1 <= v2
True
"""
_regex = re.compile(r"^\s*" + VERSION_PATTERN + r"\s*$", re.VERBOSE | re.IGNORECASE)
_key: CmpKey
def __init__(self, version: str) -> None:
"""Initialize a Version object.
:param version:
The string representation of a version which will be parsed and normalized
before use.
:raises InvalidVersion:
If the ``version`` does not conform to PEP 440 in any way then this
exception will be raised.
"""
# Validate the version and parse it into pieces
match = self._regex.search(version)
if not match:
raise InvalidVersion(f"Invalid version: '{version}'")
# Store the parsed out pieces of the version
self._version = _Version(
epoch=int(match.group("epoch")) if match.group("epoch") else 0,
release=tuple(int(i) for i in match.group("release").split(".")),
pre=_parse_letter_version(match.group("pre_l"), match.group("pre_n")),
post=_parse_letter_version(
match.group("post_l"), match.group("post_n1") or match.group("post_n2")
),
dev=_parse_letter_version(match.group("dev_l"), match.group("dev_n")),
local=_parse_local_version(match.group("local")),
)
# Generate a key which will be used for sorting
self._key = _cmpkey(
self._version.epoch,
self._version.release,
self._version.pre,
self._version.post,
self._version.dev,
self._version.local,
)
def __repr__(self) -> str:
"""A representation of the Version that shows all internal state.
>>> Version('1.0.0')
<Version('1.0.0')>
"""
return f"<Version('{self}')>"
def __str__(self) -> str:
"""A string representation of the version that can be rounded-tripped.
>>> str(Version("1.0a5"))
'1.0a5'
"""
parts = []
# Epoch
if self.epoch != 0:
parts.append(f"{self.epoch}!")
# Release segment
parts.append(".".join(str(x) for x in self.release))
# Pre-release
if self.pre is not None:
parts.append("".join(str(x) for x in self.pre))
# Post-release
if self.post is not None:
parts.append(f".post{self.post}")
# Development release
if self.dev is not None:
parts.append(f".dev{self.dev}")
# Local version segment
if self.local is not None:
parts.append(f"+{self.local}")
return "".join(parts)
@property
def epoch(self) -> int:
"""The epoch of the version.
>>> Version("2.0.0").epoch
0
>>> Version("1!2.0.0").epoch
1
"""
return self._version.epoch
@property
def release(self) -> Tuple[int, ...]:
"""The components of the "release" segment of the version.
>>> Version("1.2.3").release
(1, 2, 3)
>>> Version("2.0.0").release
(2, 0, 0)
>>> Version("1!2.0.0.post0").release
(2, 0, 0)
Includes trailing zeroes but not the epoch or any pre-release / development /
post-release suffixes.
"""
return self._version.release
@property
def pre(self) -> Optional[Tuple[str, int]]:
"""The pre-release segment of the version.
>>> print(Version("1.2.3").pre)
None
>>> Version("1.2.3a1").pre
('a', 1)
>>> Version("1.2.3b1").pre
('b', 1)
>>> Version("1.2.3rc1").pre
('rc', 1)
"""
return self._version.pre
@property
def post(self) -> Optional[int]:
"""The post-release number of the version.
>>> print(Version("1.2.3").post)
None
>>> Version("1.2.3.post1").post
1
"""
return self._version.post[1] if self._version.post else None
@property
def dev(self) -> Optional[int]:
"""The development number of the version.
>>> print(Version("1.2.3").dev)
None
>>> Version("1.2.3.dev1").dev
1
"""
return self._version.dev[1] if self._version.dev else None
@property
def local(self) -> Optional[str]:
"""The local version segment of the version.
>>> print(Version("1.2.3").local)
None
>>> Version("1.2.3+abc").local
'abc'
"""
if self._version.local:
return ".".join(str(x) for x in self._version.local)
else:
return None
@property
def public(self) -> str:
"""The public portion of the version.
>>> Version("1.2.3").public
'1.2.3'
>>> Version("1.2.3+abc").public
'1.2.3'
>>> Version("1.2.3+abc.dev1").public
'1.2.3'
"""
return str(self).split("+", 1)[0]
@property
def base_version(self) -> str:
"""The "base version" of the version.
>>> Version("1.2.3").base_version
'1.2.3'
>>> Version("1.2.3+abc").base_version
'1.2.3'
>>> Version("1!1.2.3+abc.dev1").base_version
'1!1.2.3'
The "base version" is the public version of the project without any pre or post
release markers.
"""
parts = []
# Epoch
if self.epoch != 0:
parts.append(f"{self.epoch}!")
# Release segment
parts.append(".".join(str(x) for x in self.release))
return "".join(parts)
@property
def is_prerelease(self) -> bool:
"""Whether this version is a pre-release.
>>> Version("1.2.3").is_prerelease
False
>>> Version("1.2.3a1").is_prerelease
True
>>> Version("1.2.3b1").is_prerelease
True
>>> Version("1.2.3rc1").is_prerelease
True
>>> Version("1.2.3dev1").is_prerelease
True
"""
return self.dev is not None or self.pre is not None
@property
def is_postrelease(self) -> bool:
"""Whether this version is a post-release.
>>> Version("1.2.3").is_postrelease
False
>>> Version("1.2.3.post1").is_postrelease
True
"""
return self.post is not None
@property
def is_devrelease(self) -> bool:
"""Whether this version is a development release.
>>> Version("1.2.3").is_devrelease
False
>>> Version("1.2.3.dev1").is_devrelease
True
"""
return self.dev is not None
@property
def major(self) -> int:
"""The first item of :attr:`release` or ``0`` if unavailable.
>>> Version("1.2.3").major
1
"""
return self.release[0] if len(self.release) >= 1 else 0
@property
def minor(self) -> int:
"""The second item of :attr:`release` or ``0`` if unavailable.
>>> Version("1.2.3").minor
2
>>> Version("1").minor
0
"""
return self.release[1] if len(self.release) >= 2 else 0
@property
def micro(self) -> int:
"""The third item of :attr:`release` or ``0`` if unavailable.
>>> Version("1.2.3").micro
3
>>> Version("1").micro
0
"""
return self.release[2] if len(self.release) >= 3 else 0
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22,618 | packaging.version | __eq__ | null | def __eq__(self, other: object) -> bool:
if not isinstance(other, _BaseVersion):
return NotImplemented
return self._key == other._key
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22,619 | packaging.version | __ge__ | null | def __ge__(self, other: "_BaseVersion") -> bool:
if not isinstance(other, _BaseVersion):
return NotImplemented
return self._key >= other._key
| (self, other: packaging.version._BaseVersion) -> bool | [
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22,620 | packaging.version | __gt__ | null | def __gt__(self, other: "_BaseVersion") -> bool:
if not isinstance(other, _BaseVersion):
return NotImplemented
return self._key > other._key
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22,621 | packaging.version | __hash__ | null | def __hash__(self) -> int:
return hash(self._key)
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] |
22,622 | packaging.version | __init__ | Initialize a Version object.
:param version:
The string representation of a version which will be parsed and normalized
before use.
:raises InvalidVersion:
If the ``version`` does not conform to PEP 440 in any way then this
exception will be raised.
| def __init__(self, version: str) -> None:
"""Initialize a Version object.
:param version:
The string representation of a version which will be parsed and normalized
before use.
:raises InvalidVersion:
If the ``version`` does not conform to PEP 440 in any way then this
exception will be raised.
"""
# Validate the version and parse it into pieces
match = self._regex.search(version)
if not match:
raise InvalidVersion(f"Invalid version: '{version}'")
# Store the parsed out pieces of the version
self._version = _Version(
epoch=int(match.group("epoch")) if match.group("epoch") else 0,
release=tuple(int(i) for i in match.group("release").split(".")),
pre=_parse_letter_version(match.group("pre_l"), match.group("pre_n")),
post=_parse_letter_version(
match.group("post_l"), match.group("post_n1") or match.group("post_n2")
),
dev=_parse_letter_version(match.group("dev_l"), match.group("dev_n")),
local=_parse_local_version(match.group("local")),
)
# Generate a key which will be used for sorting
self._key = _cmpkey(
self._version.epoch,
self._version.release,
self._version.pre,
self._version.post,
self._version.dev,
self._version.local,
)
| (self, version: str) -> NoneType | [
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22,623 | packaging.version | __le__ | null | def __le__(self, other: "_BaseVersion") -> bool:
if not isinstance(other, _BaseVersion):
return NotImplemented
return self._key <= other._key
| (self, other: packaging.version._BaseVersion) -> bool | [
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22,624 | packaging.version | __lt__ | null | def __lt__(self, other: "_BaseVersion") -> bool:
if not isinstance(other, _BaseVersion):
return NotImplemented
return self._key < other._key
| (self, other: packaging.version._BaseVersion) -> bool | [
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22,625 | packaging.version | __ne__ | null | def __ne__(self, other: object) -> bool:
if not isinstance(other, _BaseVersion):
return NotImplemented
return self._key != other._key
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22,626 | packaging.version | __repr__ | A representation of the Version that shows all internal state.
>>> Version('1.0.0')
<Version('1.0.0')>
| def __repr__(self) -> str:
"""A representation of the Version that shows all internal state.
>>> Version('1.0.0')
<Version('1.0.0')>
"""
return f"<Version('{self}')>"
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] |
22,627 | packaging.version | __str__ | A string representation of the version that can be rounded-tripped.
>>> str(Version("1.0a5"))
'1.0a5'
| def __str__(self) -> str:
"""A string representation of the version that can be rounded-tripped.
>>> str(Version("1.0a5"))
'1.0a5'
"""
parts = []
# Epoch
if self.epoch != 0:
parts.append(f"{self.epoch}!")
# Release segment
parts.append(".".join(str(x) for x in self.release))
# Pre-release
if self.pre is not None:
parts.append("".join(str(x) for x in self.pre))
# Post-release
if self.post is not None:
parts.append(f".post{self.post}")
# Development release
if self.dev is not None:
parts.append(f".dev{self.dev}")
# Local version segment
if self.local is not None:
parts.append(f"+{self.local}")
return "".join(parts)
| (self) -> str | [
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22,628 | salem.datasets | WRF | WRF proof-of-concept template.
Adds unstaggered and diagnostic variables.
| class WRF(GeoNetcdf):
"""WRF proof-of-concept template.
Adds unstaggered and diagnostic variables.
"""
def __init__(self, file, grid=None, time=None):
GeoNetcdf.__init__(self, file, grid=grid, time=time)
# Change staggered variables to unstaggered ones
for vn, v in self.variables.items():
if wrftools.Unstaggerer.can_do(v):
self.variables[vn] = wrftools.Unstaggerer(v)
# Check if we can add diagnostic variables to the pot
for vn in wrftools.var_classes:
cl = getattr(wrftools, vn)
if cl.can_do(self._nc):
self.variables[vn] = cl(self._nc)
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22,631 | salem.datasets | __init__ | null | def __init__(self, file, grid=None, time=None):
GeoNetcdf.__init__(self, file, grid=grid, time=time)
# Change staggered variables to unstaggered ones
for vn, v in self.variables.items():
if wrftools.Unstaggerer.can_do(v):
self.variables[vn] = wrftools.Unstaggerer(v)
# Check if we can add diagnostic variables to the pot
for vn in wrftools.var_classes:
cl = getattr(wrftools, vn)
if cl.can_do(self._nc):
self.variables[vn] = cl(self._nc)
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] |
22,637 | salem.gis | check_crs | Checks if the crs represents a valid grid, projection or ESPG string.
Examples
--------
>>> p = check_crs('epsg:26915 +units=m')
>>> p.srs
'epsg:26915 +units=m'
>>> p = check_crs('wrong')
>>> p is None
True
Returns
-------
A valid crs if possible, otherwise None
| def check_crs(crs, raise_on_error=False):
"""Checks if the crs represents a valid grid, projection or ESPG string.
Examples
--------
>>> p = check_crs('epsg:26915 +units=m')
>>> p.srs
'epsg:26915 +units=m'
>>> p = check_crs('wrong')
>>> p is None
True
Returns
-------
A valid crs if possible, otherwise None
"""
try:
crs = crs.salem.grid # try xarray
except:
pass
err1, err2 = None, None
if isinstance(crs, pyproj.Proj) or isinstance(crs, Grid):
out = crs
elif isinstance(crs, crs_type):
out = pyproj.Proj(crs.to_wkt(), preserve_units=True)
elif isinstance(crs, dict) or isinstance(crs, str):
if isinstance(crs, str):
# quick fix for https://github.com/pyproj4/pyproj/issues/345
crs = crs.replace(' ', '').replace('+', ' +')
# A series of try-catch to handle the (too) many changes in pyproj
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=DeprecationWarning)
warnings.filterwarnings('ignore', category=FutureWarning)
try:
out = pyproj.Proj(crs, preserve_units=True)
except RuntimeError as e:
err1 = str(e)
try:
out = pyproj.Proj(init=crs, preserve_units=True)
except RuntimeError as e:
err2 = str(e)
out = None
else:
out = None
if raise_on_error and out is None:
msg = ('salem could not properly parse the provided coordinate '
'reference system (crs). This could be due to errors in your '
'data, in PyProj, or with salem itself. If this occurs '
'unexpectedly, report an issue to https://github.com/fmaussion/'
'salem/issues. Full log: \n'
'crs: {} ; \n'.format(crs))
if err1 is not None:
msg += 'Output of `pyproj.Proj(crs, preserve_units=True)`: {} ; \n'
msg = msg.format(err1)
if err2 is not None:
msg += 'Output of `pyproj.Proj(init=crs, preserve_units=True)`: {}'
msg = msg.format(err2)
raise ValueError(msg)
return out
| (crs, raise_on_error=False) | [
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22,639 | pyproj.crs.crs | CRS |
A pythonic Coordinate Reference System manager.
.. versionadded:: 2.0.0
See: :c:func:`proj_create`
The functionality is based on other fantastic projects:
* `rasterio <https://github.com/mapbox/rasterio/blob/c13f0943b95c0eaa36ff3f620bd91107aa67b381/rasterio/_crs.pyx>`_ # noqa: E501
* `opendatacube <https://github.com/opendatacube/datacube-core/blob/83bae20d2a2469a6417097168fd4ede37fd2abe5/datacube/utils/geometry/_base.py>`_ # noqa: E501
Attributes
----------
srs: str
The string form of the user input used to create the CRS.
| class CRS:
"""
A pythonic Coordinate Reference System manager.
.. versionadded:: 2.0.0
See: :c:func:`proj_create`
The functionality is based on other fantastic projects:
* `rasterio <https://github.com/mapbox/rasterio/blob/c13f0943b95c0eaa36ff3f620bd91107aa67b381/rasterio/_crs.pyx>`_ # noqa: E501
* `opendatacube <https://github.com/opendatacube/datacube-core/blob/83bae20d2a2469a6417097168fd4ede37fd2abe5/datacube/utils/geometry/_base.py>`_ # noqa: E501
Attributes
----------
srs: str
The string form of the user input used to create the CRS.
"""
def __init__(self, projparams: Optional[Any] = None, **kwargs) -> None:
"""
Initialize a CRS class instance with:
- PROJ string
- Dictionary of PROJ parameters
- PROJ keyword arguments for parameters
- JSON string with PROJ parameters
- CRS WKT string
- An authority string [i.e. 'epsg:4326']
- An EPSG integer code [i.e. 4326]
- A tuple of ("auth_name": "auth_code") [i.e ('epsg', '4326')]
- An object with a `to_wkt` method.
- A :class:`pyproj.crs.CRS` class
Example usage:
>>> from pyproj import CRS
>>> crs_utm = CRS.from_user_input(26915)
>>> crs_utm
<Projected CRS: EPSG:26915>
Name: NAD83 / UTM zone 15N
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: North America - 96°W to 90°W and NAD83 by country
- bounds: (-96.0, 25.61, -90.0, 84.0)
Coordinate Operation:
- name: UTM zone 15N
- method: Transverse Mercator
Datum: North American Datum 1983
- Ellipsoid: GRS 1980
- Prime Meridian: Greenwich
<BLANKLINE>
>>> crs_utm.area_of_use.bounds
(-96.0, 25.61, -90.0, 84.0)
>>> crs_utm.ellipsoid
ELLIPSOID["GRS 1980",6378137,298.257222101,
LENGTHUNIT["metre",1],
ID["EPSG",7019]]
>>> crs_utm.ellipsoid.inverse_flattening
298.257222101
>>> crs_utm.ellipsoid.semi_major_metre
6378137.0
>>> crs_utm.ellipsoid.semi_minor_metre
6356752.314140356
>>> crs_utm.prime_meridian
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]]
>>> crs_utm.prime_meridian.unit_name
'degree'
>>> crs_utm.prime_meridian.unit_conversion_factor
0.017453292519943295
>>> crs_utm.prime_meridian.longitude
0.0
>>> crs_utm.datum
DATUM["North American Datum 1983",
ELLIPSOID["GRS 1980",6378137,298.257222101,
LENGTHUNIT["metre",1]],
ID["EPSG",6269]]
>>> crs_utm.coordinate_system
CS[Cartesian,2],
AXIS["(E)",east,
ORDER[1],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]],
AXIS["(N)",north,
ORDER[2],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]]
>>> print(crs_utm.coordinate_operation.to_wkt(pretty=True))
CONVERSION["UTM zone 15N",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",-93,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",0.9996,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",500000,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",0,
LENGTHUNIT["metre",1],
ID["EPSG",8807]],
ID["EPSG",16015]]
>>> crs = CRS(proj='utm', zone=10, ellps='WGS84')
>>> print(crs.to_wkt(pretty=True))
PROJCRS["unknown",
BASEGEOGCRS["unknown",
DATUM["Unknown based on WGS84 ellipsoid",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1],
ID["EPSG",7030]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]]],
CONVERSION["UTM zone 10N",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",-123,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",0.9996,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",500000,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",0,
LENGTHUNIT["metre",1],
ID["EPSG",8807]],
ID["EPSG",16010]],
CS[Cartesian,2],
AXIS["(E)",east,
ORDER[1],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]],
AXIS["(N)",north,
ORDER[2],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]]]
>>> geod = crs.get_geod()
>>> f"+a={geod.a:.0f} +f={geod.f:.8f}"
'+a=6378137 +f=0.00335281'
>>> crs.is_projected
True
>>> crs.is_geographic
False
"""
projstring = ""
if projparams:
if isinstance(projparams, _CRS):
projstring = projparams.srs
elif _is_epsg_code(projparams):
projstring = _prepare_from_epsg(projparams)
elif isinstance(projparams, str):
projstring = _prepare_from_string(projparams)
elif isinstance(projparams, dict):
projstring = _prepare_from_dict(projparams)
elif isinstance(projparams, (list, tuple)) and len(projparams) == 2:
projstring = _prepare_from_authority(*projparams)
elif hasattr(projparams, "to_wkt"):
projstring = projparams.to_wkt() # type: ignore
else:
raise CRSError(f"Invalid CRS input: {projparams!r}")
if kwargs:
projkwargs = _prepare_from_dict(kwargs, allow_json=False)
projstring = _prepare_from_string(" ".join((projstring, projkwargs)))
self.srs = projstring
self._local = CRSLocal()
if isinstance(projparams, _CRS):
self._local.crs = projparams
else:
self._local.crs = _CRS(self.srs)
@property
def _crs(self):
"""
Retrieve the Cython based _CRS object for this thread.
"""
if self._local.crs is None:
self._local.crs = _CRS(self.srs)
return self._local.crs
@classmethod
def from_authority(cls, auth_name: str, code: Union[str, int]) -> "CRS":
"""
.. versionadded:: 2.2.0
Make a CRS from an authority name and authority code
Parameters
----------
auth_name: str
The name of the authority.
code : int or str
The code used by the authority.
Returns
-------
CRS
"""
return cls.from_user_input(_prepare_from_authority(auth_name, code))
@classmethod
def from_epsg(cls, code: Union[str, int]) -> "CRS":
"""Make a CRS from an EPSG code
Parameters
----------
code : int or str
An EPSG code.
Returns
-------
CRS
"""
return cls.from_user_input(_prepare_from_epsg(code | (projparams: Optional[Any] = None, **kwargs) -> None | [
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22,640 | pyproj.crs.crs | __eq__ | null | def __eq__(self, other: Any) -> bool:
return self.equals(other)
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22,641 | pyproj.crs.crs | __getstate__ | null | def __getstate__(self) -> dict[str, str]:
return {"srs": self.srs}
| (self) -> dict[str, str] | [
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22,642 | pyproj.crs.crs | __hash__ | null | def __hash__(self) -> int:
return hash(self.to_wkt())
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22,643 | pyproj.crs.crs | __init__ |
Initialize a CRS class instance with:
- PROJ string
- Dictionary of PROJ parameters
- PROJ keyword arguments for parameters
- JSON string with PROJ parameters
- CRS WKT string
- An authority string [i.e. 'epsg:4326']
- An EPSG integer code [i.e. 4326]
- A tuple of ("auth_name": "auth_code") [i.e ('epsg', '4326')]
- An object with a `to_wkt` method.
- A :class:`pyproj.crs.CRS` class
Example usage:
>>> from pyproj import CRS
>>> crs_utm = CRS.from_user_input(26915)
>>> crs_utm
<Projected CRS: EPSG:26915>
Name: NAD83 / UTM zone 15N
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: North America - 96°W to 90°W and NAD83 by country
- bounds: (-96.0, 25.61, -90.0, 84.0)
Coordinate Operation:
- name: UTM zone 15N
- method: Transverse Mercator
Datum: North American Datum 1983
- Ellipsoid: GRS 1980
- Prime Meridian: Greenwich
<BLANKLINE>
>>> crs_utm.area_of_use.bounds
(-96.0, 25.61, -90.0, 84.0)
>>> crs_utm.ellipsoid
ELLIPSOID["GRS 1980",6378137,298.257222101,
LENGTHUNIT["metre",1],
ID["EPSG",7019]]
>>> crs_utm.ellipsoid.inverse_flattening
298.257222101
>>> crs_utm.ellipsoid.semi_major_metre
6378137.0
>>> crs_utm.ellipsoid.semi_minor_metre
6356752.314140356
>>> crs_utm.prime_meridian
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]]
>>> crs_utm.prime_meridian.unit_name
'degree'
>>> crs_utm.prime_meridian.unit_conversion_factor
0.017453292519943295
>>> crs_utm.prime_meridian.longitude
0.0
>>> crs_utm.datum
DATUM["North American Datum 1983",
ELLIPSOID["GRS 1980",6378137,298.257222101,
LENGTHUNIT["metre",1]],
ID["EPSG",6269]]
>>> crs_utm.coordinate_system
CS[Cartesian,2],
AXIS["(E)",east,
ORDER[1],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]],
AXIS["(N)",north,
ORDER[2],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]]
>>> print(crs_utm.coordinate_operation.to_wkt(pretty=True))
CONVERSION["UTM zone 15N",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",-93,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",0.9996,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",500000,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",0,
LENGTHUNIT["metre",1],
ID["EPSG",8807]],
ID["EPSG",16015]]
>>> crs = CRS(proj='utm', zone=10, ellps='WGS84')
>>> print(crs.to_wkt(pretty=True))
PROJCRS["unknown",
BASEGEOGCRS["unknown",
DATUM["Unknown based on WGS84 ellipsoid",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1],
ID["EPSG",7030]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]]],
CONVERSION["UTM zone 10N",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",-123,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",0.9996,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",500000,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",0,
LENGTHUNIT["metre",1],
ID["EPSG",8807]],
ID["EPSG",16010]],
CS[Cartesian,2],
AXIS["(E)",east,
ORDER[1],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]],
AXIS["(N)",north,
ORDER[2],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]]]
>>> geod = crs.get_geod()
>>> f"+a={geod.a:.0f} +f={geod.f:.8f}"
'+a=6378137 +f=0.00335281'
>>> crs.is_projected
True
>>> crs.is_geographic
False
| def __init__(self, projparams: Optional[Any] = None, **kwargs) -> None:
"""
Initialize a CRS class instance with:
- PROJ string
- Dictionary of PROJ parameters
- PROJ keyword arguments for parameters
- JSON string with PROJ parameters
- CRS WKT string
- An authority string [i.e. 'epsg:4326']
- An EPSG integer code [i.e. 4326]
- A tuple of ("auth_name": "auth_code") [i.e ('epsg', '4326')]
- An object with a `to_wkt` method.
- A :class:`pyproj.crs.CRS` class
Example usage:
>>> from pyproj import CRS
>>> crs_utm = CRS.from_user_input(26915)
>>> crs_utm
<Projected CRS: EPSG:26915>
Name: NAD83 / UTM zone 15N
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: North America - 96°W to 90°W and NAD83 by country
- bounds: (-96.0, 25.61, -90.0, 84.0)
Coordinate Operation:
- name: UTM zone 15N
- method: Transverse Mercator
Datum: North American Datum 1983
- Ellipsoid: GRS 1980
- Prime Meridian: Greenwich
<BLANKLINE>
>>> crs_utm.area_of_use.bounds
(-96.0, 25.61, -90.0, 84.0)
>>> crs_utm.ellipsoid
ELLIPSOID["GRS 1980",6378137,298.257222101,
LENGTHUNIT["metre",1],
ID["EPSG",7019]]
>>> crs_utm.ellipsoid.inverse_flattening
298.257222101
>>> crs_utm.ellipsoid.semi_major_metre
6378137.0
>>> crs_utm.ellipsoid.semi_minor_metre
6356752.314140356
>>> crs_utm.prime_meridian
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]]
>>> crs_utm.prime_meridian.unit_name
'degree'
>>> crs_utm.prime_meridian.unit_conversion_factor
0.017453292519943295
>>> crs_utm.prime_meridian.longitude
0.0
>>> crs_utm.datum
DATUM["North American Datum 1983",
ELLIPSOID["GRS 1980",6378137,298.257222101,
LENGTHUNIT["metre",1]],
ID["EPSG",6269]]
>>> crs_utm.coordinate_system
CS[Cartesian,2],
AXIS["(E)",east,
ORDER[1],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]],
AXIS["(N)",north,
ORDER[2],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]]
>>> print(crs_utm.coordinate_operation.to_wkt(pretty=True))
CONVERSION["UTM zone 15N",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",-93,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",0.9996,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",500000,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",0,
LENGTHUNIT["metre",1],
ID["EPSG",8807]],
ID["EPSG",16015]]
>>> crs = CRS(proj='utm', zone=10, ellps='WGS84')
>>> print(crs.to_wkt(pretty=True))
PROJCRS["unknown",
BASEGEOGCRS["unknown",
DATUM["Unknown based on WGS84 ellipsoid",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1],
ID["EPSG",7030]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]]],
CONVERSION["UTM zone 10N",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",-123,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",0.9996,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",500000,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",0,
LENGTHUNIT["metre",1],
ID["EPSG",8807]],
ID["EPSG",16010]],
CS[Cartesian,2],
AXIS["(E)",east,
ORDER[1],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]],
AXIS["(N)",north,
ORDER[2],
LENGTHUNIT["metre",1,
ID["EPSG",9001]]]]
>>> geod = crs.get_geod()
>>> f"+a={geod.a:.0f} +f={geod.f:.8f}"
'+a=6378137 +f=0.00335281'
>>> crs.is_projected
True
>>> crs.is_geographic
False
"""
projstring = ""
if projparams:
if isinstance(projparams, _CRS):
projstring = projparams.srs
elif _is_epsg_code(projparams):
projstring = _prepare_from_epsg(projparams)
elif isinstance(projparams, str):
projstring = _prepare_from_string(projparams)
elif isinstance(projparams, dict):
projstring = _prepare_from_dict(projparams)
elif isinstance(projparams, (list, tuple)) and len(projparams) == 2:
projstring = _prepare_from_authority(*projparams)
elif hasattr(projparams, "to_wkt"):
projstring = projparams.to_wkt() # type: ignore
else:
raise CRSError(f"Invalid CRS input: {projparams!r}")
if kwargs:
projkwargs = _prepare_from_dict(kwargs, allow_json=False)
projstring = _prepare_from_string(" ".join((projstring, projkwargs)))
self.srs = projstring
self._local = CRSLocal()
if isinstance(projparams, _CRS):
self._local.crs = projparams
else:
self._local.crs = _CRS(self.srs)
| (self, projparams: Optional[Any] = None, **kwargs) -> NoneType | [
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22,644 | pyproj.crs.crs | __repr__ | null | def __repr__(self) -> str:
# get axis information
axis_info_list: list[str] = []
for axis in self.axis_info:
axis_info_list.extend(["- ", str(axis), "\n"])
axis_info_str = "".join(axis_info_list)
# get coordinate system & sub CRS info
source_crs_repr = ""
sub_crs_repr = ""
if self.coordinate_system and self.coordinate_system.axis_list:
coordinate_system_name = str(self.coordinate_system)
elif self.is_bound and self.source_crs:
coordinate_system_name = str(self.source_crs.coordinate_system)
source_crs_repr = f"Source CRS: {self.source_crs.name}\n"
else:
coordinate_system_names = []
sub_crs_repr_list = ["Sub CRS:\n"]
for sub_crs in self.sub_crs_list:
coordinate_system_names.append(str(sub_crs.coordinate_system))
sub_crs_repr_list.extend(["- ", sub_crs.name, "\n"])
coordinate_system_name = "|".join(coordinate_system_names)
sub_crs_repr = "".join(sub_crs_repr_list)
# get coordinate operation repr
coordinate_operation = ""
if self.coordinate_operation:
coordinate_operation = "".join(
[
"Coordinate Operation:\n",
"- name: ",
str(self.coordinate_operation),
"\n- method: ",
self.coordinate_operation.method_name,
"\n",
]
)
# get SRS representation
srs_repr = self.to_string()
srs_repr = srs_repr if len(srs_repr) <= 50 else " ".join([srs_repr[:50], "..."])
axis_info_str = axis_info_str or "- undefined\n"
return (
f"<{self.type_name}: {srs_repr}>\n"
f"Name: {self.name}\n"
f"Axis Info [{coordinate_system_name or 'undefined'}]:\n"
f"{axis_info_str}"
"Area of Use:\n"
f"{self.area_of_use or '- undefined'}\n"
f"{coordinate_operation}"
f"Datum: {self.datum}\n"
f"- Ellipsoid: {self.ellipsoid or 'undefined'}\n"
f"- Prime Meridian: {self.prime_meridian or 'undefined'}\n"
f"{source_crs_repr}"
f"{sub_crs_repr}"
)
| (self) -> str | [
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22,645 | pyproj.crs.crs | __setstate__ | null | def __setstate__(self, state: dict[str, Any]):
self.__dict__.update(state)
self._local = CRSLocal()
| (self, state: dict[str, typing.Any]) | [
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22,646 | pyproj.crs.crs | __str__ | null | def __str__(self) -> str:
return self.srs
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22,647 | pyproj.crs.crs | cs_to_cf |
.. versionadded:: 3.0.0
This converts all coordinate systems (cs) in the CRS
to a list of Climate and Forecast (CF) Version 1.8 dicts.
:ref:`build_crs_cf`
Returns
-------
list[dict]:
CF-1.8 version of the coordinate systems.
| def cs_to_cf(self) -> list[dict]:
"""
.. versionadded:: 3.0.0
This converts all coordinate systems (cs) in the CRS
to a list of Climate and Forecast (CF) Version 1.8 dicts.
:ref:`build_crs_cf`
Returns
-------
list[dict]:
CF-1.8 version of the coordinate systems.
"""
cf_axis_list = []
def rotated_pole(crs):
try:
return (
crs.coordinate_operation
and crs.coordinate_operation.method_name.lower()
in _INVERSE_GEOGRAPHIC_GRID_MAPPING_NAME_MAP
)
except KeyError:
return False
if self.type_name == "Temporal CRS" and self.datum:
datum_json = self.datum.to_json_dict()
origin = datum_json.get("time_origin", "1875-05-20").strip().rstrip("zZ")
if len(origin) == 4:
origin = f"{origin}-01-01"
axis = self.axis_info[0]
cf_temporal_axis = {
"standard_name": "time",
"long_name": "time",
"calendar": (
datum_json.get("calendar", "proleptic_gregorian")
.lower()
.replace(" ", "_")
),
"axis": "T",
}
unit_name = axis.unit_name.lower().replace("calendar", "").strip()
# no units for TemporalDateTime
if unit_name:
cf_temporal_axis["units"] = f"{unit_name} since {origin}"
cf_axis_list.append(cf_temporal_axis)
if self.coordinate_system:
cf_axis_list.extend(
self.coordinate_system.to_cf(rotated_pole=rotated_pole(self))
)
elif self.is_bound and self.source_crs and self.source_crs.coordinate_system:
cf_axis_list.extend(
self.source_crs.coordinate_system.to_cf(
rotated_pole=rotated_pole(self.source_crs)
)
)
else:
for sub_crs in self.sub_crs_list:
cf_axis_list.extend(sub_crs.cs_to_cf())
return cf_axis_list
| (self) -> list[dict] | [
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22,648 | pyproj.crs.crs | equals |
.. versionadded:: 2.5.0
Check if the CRS objects are equivalent.
Parameters
----------
other: Any
Check if the other object is equivalent to this object.
If the other object is not a CRS, it will try to create one.
On Failure, it will return False.
ignore_axis_order: bool, default=False
If True, it will compare the CRS class and ignore the axis order.
Returns
-------
bool
| def equals(self, other: Any, ignore_axis_order: bool = False) -> bool:
"""
.. versionadded:: 2.5.0
Check if the CRS objects are equivalent.
Parameters
----------
other: Any
Check if the other object is equivalent to this object.
If the other object is not a CRS, it will try to create one.
On Failure, it will return False.
ignore_axis_order: bool, default=False
If True, it will compare the CRS class and ignore the axis order.
Returns
-------
bool
"""
try:
other = CRS.from_user_input(other)
except CRSError:
return False
return self._crs.equals(other._crs, ignore_axis_order=ignore_axis_order)
| (self, other: Any, ignore_axis_order: bool = False) -> bool | [
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22,649 | pyproj.crs.crs | from_cf |
.. versionadded:: 2.2.0
.. versionadded:: 3.0.0 ellipsoidal_cs, cartesian_cs, vertical_cs
This converts a Climate and Forecast (CF) Grid Mapping Version 1.8
dict to a :obj:`pyproj.crs.CRS` object.
:ref:`build_crs_cf`
Parameters
----------
in_cf: dict
CF version of the projection.
ellipsoidal_cs: Any, optional
Input to create an Ellipsoidal Coordinate System.
Anything accepted by :meth:`pyproj.crs.CoordinateSystem.from_user_input`
or an Ellipsoidal Coordinate System created from :ref:`coordinate_system`.
cartesian_cs: Any, optional
Input to create a Cartesian Coordinate System.
Anything accepted by :meth:`pyproj.crs.CoordinateSystem.from_user_input`
or :class:`pyproj.crs.coordinate_system.Cartesian2DCS`.
vertical_cs: Any, optional
Input to create a Vertical Coordinate System accepted by
:meth:`pyproj.crs.CoordinateSystem.from_user_input`
or :class:`pyproj.crs.coordinate_system.VerticalCS`
Returns
-------
CRS
| @staticmethod
def from_cf(
in_cf: dict,
ellipsoidal_cs: Optional[Any] = None,
cartesian_cs: Optional[Any] = None,
vertical_cs: Optional[Any] = None,
) -> "CRS":
"""
.. versionadded:: 2.2.0
.. versionadded:: 3.0.0 ellipsoidal_cs, cartesian_cs, vertical_cs
This converts a Climate and Forecast (CF) Grid Mapping Version 1.8
dict to a :obj:`pyproj.crs.CRS` object.
:ref:`build_crs_cf`
Parameters
----------
in_cf: dict
CF version of the projection.
ellipsoidal_cs: Any, optional
Input to create an Ellipsoidal Coordinate System.
Anything accepted by :meth:`pyproj.crs.CoordinateSystem.from_user_input`
or an Ellipsoidal Coordinate System created from :ref:`coordinate_system`.
cartesian_cs: Any, optional
Input to create a Cartesian Coordinate System.
Anything accepted by :meth:`pyproj.crs.CoordinateSystem.from_user_input`
or :class:`pyproj.crs.coordinate_system.Cartesian2DCS`.
vertical_cs: Any, optional
Input to create a Vertical Coordinate System accepted by
:meth:`pyproj.crs.CoordinateSystem.from_user_input`
or :class:`pyproj.crs.coordinate_system.VerticalCS`
Returns
-------
CRS
"""
# pylint: disable=too-many-branches
unknown_names = ("unknown", "undefined")
if "crs_wkt" in in_cf:
return CRS(in_cf["crs_wkt"])
if "spatial_ref" in in_cf: # for previous supported WKT key
return CRS(in_cf["spatial_ref"])
grid_mapping_name = in_cf.get("grid_mapping_name")
if grid_mapping_name is None:
raise CRSError("CF projection parameters missing 'grid_mapping_name'")
# build datum if possible
datum = _horizontal_datum_from_params(in_cf)
# build geographic CRS
try:
geographic_conversion_method: Optional[
Callable
] = _GEOGRAPHIC_GRID_MAPPING_NAME_MAP[grid_mapping_name]
except KeyError:
geographic_conversion_method = None
geographic_crs_name = in_cf.get("geographic_crs_name")
if datum:
geographic_crs: CRS = GeographicCRS(
name=geographic_crs_name or "undefined",
datum=datum,
ellipsoidal_cs=ellipsoidal_cs,
)
elif geographic_crs_name and geographic_crs_name not in unknown_names:
geographic_crs = CRS(geographic_crs_name)
if ellipsoidal_cs is not None:
geographic_crs_json = geographic_crs.to_json_dict()
geographic_crs_json[
"coordinate_system"
] = CoordinateSystem.from_user_input(ellipsoidal_cs).to_json_dict()
geographic_crs = CRS(geographic_crs_json)
else:
geographic_crs = GeographicCRS(ellipsoidal_cs=ellipsoidal_cs)
if grid_mapping_name == "latitude_longitude":
return geographic_crs
if geographic_conversion_method is not None:
return DerivedGeographicCRS(
base_crs=geographic_crs,
conversion=geographic_conversion_method(in_cf),
ellipsoidal_cs=ellipsoidal_cs,
)
# build projected CRS
try:
conversion_method = _GRID_MAPPING_NAME_MAP[grid_mapping_name]
except KeyError:
raise CRSError(
f"Unsupported grid mapping name: {grid_mapping_name}"
) from None
projected_crs = ProjectedCRS(
name=in_cf.get("projected_crs_name", "undefined"),
conversion=conversion_method(in_cf),
geodetic_crs=geographic_crs,
cartesian_cs=cartesian_cs,
)
# build bound CRS if exists
bound_crs = None
if "towgs84" in in_cf:
bound_crs = BoundCRS(
source_crs=projected_crs,
target_crs="WGS 84",
transformation=ToWGS84Transformation(
projected_crs.geodetic_crs, *_try_list_if_string(in_cf["towgs84"])
),
)
if "geopotential_datum_name" not in in_cf:
return bound_crs or projected_crs
# build Vertical CRS
vertical_crs = VerticalCRS(
name="undefined",
datum=in_cf["geopotential_datum_name"],
geoid_model=in_cf.get("geoid_name"),
vertical_cs=vertical_cs,
)
# build compound CRS
return CompoundCRS(
name="undefined", components=[bound_crs or projected_crs, vertical_crs]
)
| (in_cf: dict, ellipsoidal_cs: Optional[Any] = None, cartesian_cs: Optional[Any] = None, vertical_cs: Optional[Any] = None) -> pyproj.crs.crs.CRS | [
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] |
22,650 | pyproj.crs.crs | get_geod |
Returns
-------
pyproj.geod.Geod:
Geod object based on the ellipsoid.
| def get_geod(self) -> Optional[Geod]:
"""
Returns
-------
pyproj.geod.Geod:
Geod object based on the ellipsoid.
"""
if self.ellipsoid is None:
return None
return Geod(
a=self.ellipsoid.semi_major_metre,
rf=self.ellipsoid.inverse_flattening,
b=self.ellipsoid.semi_minor_metre,
)
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22,651 | pyproj.crs.crs | is_exact_same |
Check if the CRS objects are the exact same.
Parameters
----------
other: Any
Check if the other CRS is the exact same to this object.
If the other object is not a CRS, it will try to create one.
On Failure, it will return False.
Returns
-------
bool
| def is_exact_same(self, other: Any) -> bool:
"""
Check if the CRS objects are the exact same.
Parameters
----------
other: Any
Check if the other CRS is the exact same to this object.
If the other object is not a CRS, it will try to create one.
On Failure, it will return False.
Returns
-------
bool
"""
try:
other = CRS.from_user_input(other)
except CRSError:
return False
return self._crs.is_exact_same(other._crs)
| (self, other: Any) -> bool | [
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22,652 | pyproj.crs.crs | list_authority |
.. versionadded:: 3.2.0
Return the authority names and codes best matching the CRS.
Example:
>>> from pyproj import CRS
>>> ccs = CRS("EPSG:4328")
>>> ccs.list_authority()
[AuthorityMatchInfo(auth_name='EPSG', code='4326', confidence=100)]
If the CRS is bound, you can get an authority from
the source CRS:
>>> from pyproj import CRS
>>> ccs = CRS("+proj=geocent +datum=WGS84 +towgs84=0,0,0")
>>> ccs.list_authority()
[]
>>> ccs.source_crs.list_authority()
[AuthorityMatchInfo(auth_name='EPSG', code='4978', confidence=70)]
>>> ccs == CRS.from_authorty('EPSG', '4978')
False
Parameters
----------
auth_name: str, optional
The name of the authority to filter by.
min_confidence: int, default=70
A value between 0-100 where 100 is the most confident.
:ref:`min_confidence`
Returns
-------
list[AuthorityMatchInfo]:
List of authority matches for the CRS.
| def list_authority(
self, auth_name: Optional[str] = None, min_confidence: int = 70
) -> list[AuthorityMatchInfo]:
"""
.. versionadded:: 3.2.0
Return the authority names and codes best matching the CRS.
Example:
>>> from pyproj import CRS
>>> ccs = CRS("EPSG:4328")
>>> ccs.list_authority()
[AuthorityMatchInfo(auth_name='EPSG', code='4326', confidence=100)]
If the CRS is bound, you can get an authority from
the source CRS:
>>> from pyproj import CRS
>>> ccs = CRS("+proj=geocent +datum=WGS84 +towgs84=0,0,0")
>>> ccs.list_authority()
[]
>>> ccs.source_crs.list_authority()
[AuthorityMatchInfo(auth_name='EPSG', code='4978', confidence=70)]
>>> ccs == CRS.from_authorty('EPSG', '4978')
False
Parameters
----------
auth_name: str, optional
The name of the authority to filter by.
min_confidence: int, default=70
A value between 0-100 where 100 is the most confident.
:ref:`min_confidence`
Returns
-------
list[AuthorityMatchInfo]:
List of authority matches for the CRS.
"""
return self._crs.list_authority(
auth_name=auth_name, min_confidence=min_confidence
)
| (self, auth_name: Optional[str] = None, min_confidence: int = 70) -> list[importlib._bootstrap.AuthorityMatchInfo] | [
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22,653 | pyproj.crs.crs | to_2d |
.. versionadded:: 3.6.0
Convert the current CRS to the 2D version if it makes sense.
Parameters
----------
name: str, optional
CRS name. Defaults to use the name of the original CRS.
Returns
-------
CRS
| def to_2d(self, name: Optional[str] = None) -> "CRS":
"""
.. versionadded:: 3.6.0
Convert the current CRS to the 2D version if it makes sense.
Parameters
----------
name: str, optional
CRS name. Defaults to use the name of the original CRS.
Returns
-------
CRS
"""
return self.__class__(self._crs.to_2d(name=name))
| (self, name: Optional[str] = None) -> pyproj.crs.crs.CRS | [
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22,654 | pyproj.crs.crs | to_3d |
.. versionadded:: 3.1.0
Convert the current CRS to the 3D version if it makes sense.
New vertical axis attributes:
- ellipsoidal height
- oriented upwards
- metre units
Parameters
----------
name: str, optional
CRS name. Defaults to use the name of the original CRS.
Returns
-------
CRS
| def to_3d(self, name: Optional[str] = None) -> "CRS":
"""
.. versionadded:: 3.1.0
Convert the current CRS to the 3D version if it makes sense.
New vertical axis attributes:
- ellipsoidal height
- oriented upwards
- metre units
Parameters
----------
name: str, optional
CRS name. Defaults to use the name of the original CRS.
Returns
-------
CRS
"""
return self.__class__(self._crs.to_3d(name=name))
| (self, name: Optional[str] = None) -> pyproj.crs.crs.CRS | [
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22,655 | pyproj.crs.crs | to_authority |
.. versionadded:: 2.2.0
Return the authority name and code best matching the CRS
or None if it a match is not found.
Example:
>>> from pyproj import CRS
>>> ccs = CRS("EPSG:4328")
>>> ccs.to_authority()
('EPSG', '4328')
If the CRS is bound, you can get an authority from
the source CRS:
>>> from pyproj import CRS
>>> ccs = CRS("+proj=geocent +datum=WGS84 +towgs84=0,0,0")
>>> ccs.to_authority()
>>> ccs.source_crs.to_authority()
('EPSG', '4978')
>>> ccs == CRS.from_authorty('EPSG', '4978')
False
Parameters
----------
auth_name: str, optional
The name of the authority to filter by.
min_confidence: int, default=70
A value between 0-100 where 100 is the most confident.
:ref:`min_confidence`
Returns
-------
tuple(str, str) or None:
The best matching (<auth_name>, <code>) for the confidence level.
| def to_authority(self, auth_name: Optional[str] = None, min_confidence: int = 70):
"""
.. versionadded:: 2.2.0
Return the authority name and code best matching the CRS
or None if it a match is not found.
Example:
>>> from pyproj import CRS
>>> ccs = CRS("EPSG:4328")
>>> ccs.to_authority()
('EPSG', '4328')
If the CRS is bound, you can get an authority from
the source CRS:
>>> from pyproj import CRS
>>> ccs = CRS("+proj=geocent +datum=WGS84 +towgs84=0,0,0")
>>> ccs.to_authority()
>>> ccs.source_crs.to_authority()
('EPSG', '4978')
>>> ccs == CRS.from_authorty('EPSG', '4978')
False
Parameters
----------
auth_name: str, optional
The name of the authority to filter by.
min_confidence: int, default=70
A value between 0-100 where 100 is the most confident.
:ref:`min_confidence`
Returns
-------
tuple(str, str) or None:
The best matching (<auth_name>, <code>) for the confidence level.
"""
return self._crs.to_authority(
auth_name=auth_name, min_confidence=min_confidence
)
| (self, auth_name: Optional[str] = None, min_confidence: int = 70) | [
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22,656 | pyproj.crs.crs | to_cf |
.. versionadded:: 2.2.0
This converts a :obj:`pyproj.crs.CRS` object
to a Climate and Forecast (CF) Grid Mapping Version 1.8 dict.
:ref:`build_crs_cf`
Parameters
----------
wkt_version: str or pyproj.enums.WktVersion
Version of WKT supported by CRS.to_wkt.
Default is :attr:`pyproj.enums.WktVersion.WKT2_2019`.
errcheck: bool, default=False
If True, will warn when parameters are ignored.
Returns
-------
dict:
CF-1.8 version of the projection.
| def to_cf(
self,
wkt_version: Union[WktVersion, str] = WktVersion.WKT2_2019,
errcheck: bool = False,
) -> dict:
"""
.. versionadded:: 2.2.0
This converts a :obj:`pyproj.crs.CRS` object
to a Climate and Forecast (CF) Grid Mapping Version 1.8 dict.
:ref:`build_crs_cf`
Parameters
----------
wkt_version: str or pyproj.enums.WktVersion
Version of WKT supported by CRS.to_wkt.
Default is :attr:`pyproj.enums.WktVersion.WKT2_2019`.
errcheck: bool, default=False
If True, will warn when parameters are ignored.
Returns
-------
dict:
CF-1.8 version of the projection.
"""
# pylint: disable=too-many-branches,too-many-return-statements
cf_dict: dict[str, Any] = {"crs_wkt": self.to_wkt(wkt_version)}
# handle bound CRS
if (
self.is_bound
and self.coordinate_operation
and self.coordinate_operation.towgs84
and self.source_crs
):
sub_cf: dict[str, Any] = self.source_crs.to_cf(
wkt_version=wkt_version,
errcheck=errcheck,
)
sub_cf.pop("crs_wkt")
cf_dict.update(sub_cf)
cf_dict["towgs84"] = self.coordinate_operation.towgs84
return cf_dict
# handle compound CRS
if self.is_compound:
for sub_crs in self.sub_crs_list:
sub_cf = sub_crs.to_cf(wkt_version=wkt_version, errcheck=errcheck)
sub_cf.pop("crs_wkt")
cf_dict.update(sub_cf)
return cf_dict
# handle vertical CRS
if self.is_vertical:
vert_json = self.to_json_dict()
if "geoid_model" in vert_json:
cf_dict["geoid_name"] = vert_json["geoid_model"]["name"]
if self.datum:
cf_dict["geopotential_datum_name"] = self.datum.name
return cf_dict
# write out datum parameters
if self.ellipsoid:
cf_dict.update(
semi_major_axis=self.ellipsoid.semi_major_metre,
semi_minor_axis=self.ellipsoid.semi_minor_metre,
inverse_flattening=self.ellipsoid.inverse_flattening,
)
cf_dict["reference_ellipsoid_name"] = self.ellipsoid.name
if self.prime_meridian:
cf_dict["longitude_of_prime_meridian"] = self.prime_meridian.longitude
cf_dict["prime_meridian_name"] = self.prime_meridian.name
# handle geographic CRS
if self.geodetic_crs:
cf_dict["geographic_crs_name"] = self.geodetic_crs.name
if self.geodetic_crs.datum:
cf_dict["horizontal_datum_name"] = self.geodetic_crs.datum.name
if self.is_geographic:
if self.coordinate_operation:
if (
self.coordinate_operation.method_name.lower()
not in _INVERSE_GEOGRAPHIC_GRID_MAPPING_NAME_MAP
):
if errcheck:
warnings.warn(
"Unsupported coordinate operation: "
f"{self.coordinate_operation.method_name}"
)
return {"crs_wkt": cf_dict["crs_wkt"]}
cf_dict.update(
_INVERSE_GEOGRAPHIC_GRID_MAPPING_NAME_MAP[
self.coordinate_operation.method_name.lower()
](self.coordinate_operation)
)
else:
cf_dict["grid_mapping_name"] = "latitude_longitude"
return cf_dict
# handle projected CRS
coordinate_operation = None
if not self.is_bound and self.is_projected:
coordinate_operation = self.coordinate_operation
cf_dict["projected_crs_name"] = self.name
coordinate_operation_name = (
None
if not coordinate_operation
else coordinate_operation.method_name.lower().replace(" ", "_")
)
if coordinate_operation_name not in _INVERSE_GRID_MAPPING_NAME_MAP:
if errcheck:
if coordinate_operation:
warnings.warn(
"Unsupported coordinate operation: "
f"{coordinate_operation.method_name}"
)
else:
warnings.warn("Coordinate operation not found.")
return {"crs_wkt": cf_dict["crs_wkt"]}
cf_dict.update(
_INVERSE_GRID_MAPPING_NAME_MAP[coordinate_operation_name](
coordinate_operation
)
)
return cf_dict
| (self, wkt_version: Union[pyproj.enums.WktVersion, str] = <WktVersion.WKT2_2019: 'WKT2_2019'>, errcheck: bool = False) -> dict | [
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] |
22,657 | pyproj.crs.crs | to_dict |
.. versionadded:: 2.2.0
Converts the CRS to dictionary of PROJ parameters.
.. warning:: You will likely lose important projection
information when converting to a PROJ string from
another format. See: https://proj.org/faq.html#what-is-the-best-format-for-describing-coordinate-reference-systems # noqa: E501
Returns
-------
dict:
PROJ params in dict format.
| def to_dict(self) -> dict:
"""
.. versionadded:: 2.2.0
Converts the CRS to dictionary of PROJ parameters.
.. warning:: You will likely lose important projection
information when converting to a PROJ string from
another format. See: https://proj.org/faq.html#what-is-the-best-format-for-describing-coordinate-reference-systems # noqa: E501
Returns
-------
dict:
PROJ params in dict format.
"""
proj_string = self.to_proj4()
if proj_string is None:
return {}
def _parse(val):
if val.lower() == "true":
return True
if val.lower() == "false":
return False
try:
return int(val)
except ValueError:
pass
try:
return float(val)
except ValueError:
pass
return _try_list_if_string(val)
proj_dict = {}
for param in _RE_PROJ_PARAM.finditer(proj_string):
key, value = param.groups()
if value is not None:
value = _parse(value)
if value is not False:
proj_dict[key] = value
return proj_dict
| (self) -> dict | [
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22,658 | pyproj.crs.crs | to_epsg |
Return the EPSG code best matching the CRS
or None if it a match is not found.
Example:
>>> from pyproj import CRS
>>> ccs = CRS("EPSG:4328")
>>> ccs.to_epsg()
4328
If the CRS is bound, you can attempt to get an epsg code from
the source CRS:
>>> from pyproj import CRS
>>> ccs = CRS("+proj=geocent +datum=WGS84 +towgs84=0,0,0")
>>> ccs.to_epsg()
>>> ccs.source_crs.to_epsg()
4978
>>> ccs == CRS.from_epsg(4978)
False
Parameters
----------
min_confidence: int, default=70
A value between 0-100 where 100 is the most confident.
:ref:`min_confidence`
Returns
-------
Optional[int]:
The best matching EPSG code matching the confidence level.
| def to_epsg(self, min_confidence: int = 70) -> Optional[int]:
"""
Return the EPSG code best matching the CRS
or None if it a match is not found.
Example:
>>> from pyproj import CRS
>>> ccs = CRS("EPSG:4328")
>>> ccs.to_epsg()
4328
If the CRS is bound, you can attempt to get an epsg code from
the source CRS:
>>> from pyproj import CRS
>>> ccs = CRS("+proj=geocent +datum=WGS84 +towgs84=0,0,0")
>>> ccs.to_epsg()
>>> ccs.source_crs.to_epsg()
4978
>>> ccs == CRS.from_epsg(4978)
False
Parameters
----------
min_confidence: int, default=70
A value between 0-100 where 100 is the most confident.
:ref:`min_confidence`
Returns
-------
Optional[int]:
The best matching EPSG code matching the confidence level.
"""
return self._crs.to_epsg(min_confidence=min_confidence)
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22,659 | pyproj.crs.crs | to_json |
.. versionadded:: 2.4.0
Convert the object to a JSON string.
Parameters
----------
pretty: bool, default=False
If True, it will set the output to be a multiline string.
indentation: int, default=2
If pretty is True, it will set the width of the indentation.
Returns
-------
str
| def to_json(self, pretty: bool = False, indentation: int = 2) -> str:
"""
.. versionadded:: 2.4.0
Convert the object to a JSON string.
Parameters
----------
pretty: bool, default=False
If True, it will set the output to be a multiline string.
indentation: int, default=2
If pretty is True, it will set the width of the indentation.
Returns
-------
str
"""
proj_json = self._crs.to_json(pretty=pretty, indentation=indentation)
if proj_json is None:
raise CRSError("CRS cannot be converted to a PROJ JSON string.")
return proj_json
| (self, pretty: bool = False, indentation: int = 2) -> str | [
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22,660 | pyproj.crs.crs | to_json_dict |
.. versionadded:: 2.4.0
Convert the object to a JSON dictionary.
Returns
-------
dict
| def to_json_dict(self) -> dict:
"""
.. versionadded:: 2.4.0
Convert the object to a JSON dictionary.
Returns
-------
dict
"""
return self._crs.to_json_dict()
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22,661 | pyproj.crs.crs | to_proj4 |
Convert the projection to a PROJ string.
.. warning:: You will likely lose important projection
information when converting to a PROJ string from
another format. See:
https://proj.org/faq.html#what-is-the-best-format-for-describing-coordinate-reference-systems # noqa: E501
Parameters
----------
version: pyproj.enums.ProjVersion
The version of the PROJ string output.
Default is :attr:`pyproj.enums.ProjVersion.PROJ_4`.
Returns
-------
str
| def to_proj4(self, version: Union[ProjVersion, int] = ProjVersion.PROJ_5) -> str:
"""
Convert the projection to a PROJ string.
.. warning:: You will likely lose important projection
information when converting to a PROJ string from
another format. See:
https://proj.org/faq.html#what-is-the-best-format-for-describing-coordinate-reference-systems # noqa: E501
Parameters
----------
version: pyproj.enums.ProjVersion
The version of the PROJ string output.
Default is :attr:`pyproj.enums.ProjVersion.PROJ_4`.
Returns
-------
str
"""
proj = self._crs.to_proj4(version=version)
if proj is None:
raise CRSError("CRS cannot be converted to a PROJ string.")
return proj
| (self, version: Union[pyproj.enums.ProjVersion, int] = <ProjVersion.PROJ_5: 5>) -> str | [
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22,662 | pyproj.crs.crs | to_string |
.. versionadded:: 2.2.0
Convert the CRS to a string.
It attempts to convert it to the authority string.
Otherwise, it uses the string format of the user
input to create the CRS.
Returns
-------
str
| def to_string(self) -> str:
"""
.. versionadded:: 2.2.0
Convert the CRS to a string.
It attempts to convert it to the authority string.
Otherwise, it uses the string format of the user
input to create the CRS.
Returns
-------
str
"""
auth_info = self.to_authority(min_confidence=100)
if auth_info:
return ":".join(auth_info)
return self.srs
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22,663 | pyproj.crs.crs | to_wkt |
Convert the projection to a WKT string.
Version options:
- WKT2_2015
- WKT2_2015_SIMPLIFIED
- WKT2_2019
- WKT2_2019_SIMPLIFIED
- WKT1_GDAL
- WKT1_ESRI
.. versionadded:: 3.6.0 output_axis_rule
Parameters
----------
version: pyproj.enums.WktVersion, optional
The version of the WKT output.
Default is :attr:`pyproj.enums.WktVersion.WKT2_2019`.
pretty: bool, default=False
If True, it will set the output to be a multiline string.
output_axis_rule: bool, optional, default=None
If True, it will set the axis rule on any case. If false, never.
None for AUTO, that depends on the CRS and version.
Returns
-------
str
| def to_wkt(
self,
version: Union[WktVersion, str] = WktVersion.WKT2_2019,
pretty: bool = False,
output_axis_rule: Optional[bool] = None,
) -> str:
"""
Convert the projection to a WKT string.
Version options:
- WKT2_2015
- WKT2_2015_SIMPLIFIED
- WKT2_2019
- WKT2_2019_SIMPLIFIED
- WKT1_GDAL
- WKT1_ESRI
.. versionadded:: 3.6.0 output_axis_rule
Parameters
----------
version: pyproj.enums.WktVersion, optional
The version of the WKT output.
Default is :attr:`pyproj.enums.WktVersion.WKT2_2019`.
pretty: bool, default=False
If True, it will set the output to be a multiline string.
output_axis_rule: bool, optional, default=None
If True, it will set the axis rule on any case. If false, never.
None for AUTO, that depends on the CRS and version.
Returns
-------
str
"""
wkt = self._crs.to_wkt(
version=version, pretty=pretty, output_axis_rule=output_axis_rule
)
if wkt is None:
raise CRSError(
f"CRS cannot be converted to a WKT string of a '{version}' version. "
"Select a different version of a WKT string or edit your CRS."
)
return wkt
| (self, version: Union[pyproj.enums.WktVersion, str] = <WktVersion.WKT2_2019: 'WKT2_2019'>, pretty: bool = False, output_axis_rule: Optional[bool] = None) -> str | [
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22,665 | salem.wrftools | geogrid_simulator | Emulates geogrid.exe, which is useful when defining new WRF domains.
Parameters
----------
fpath: str
path to a namelist.wps file
do_maps: bool
if you want the simulator to return you maps of the grids as well
map_kwargs: dict
kwargs to pass to salem.Map()
Returns
-------
(grids, maps) with:
- grids: a list of Grids corresponding to the domains
defined in the namelist
- maps: a list of maps corresponding to the grids (if do_maps==True)
| def geogrid_simulator(fpath, do_maps=True, map_kwargs=None):
"""Emulates geogrid.exe, which is useful when defining new WRF domains.
Parameters
----------
fpath: str
path to a namelist.wps file
do_maps: bool
if you want the simulator to return you maps of the grids as well
map_kwargs: dict
kwargs to pass to salem.Map()
Returns
-------
(grids, maps) with:
- grids: a list of Grids corresponding to the domains
defined in the namelist
- maps: a list of maps corresponding to the grids (if do_maps==True)
"""
with open(fpath) as f:
lines = f.readlines()
pargs = dict()
for l in lines:
s = l.split('=')
if len(s) < 2:
continue
s0 = s[0].strip().upper()
s1 = list(filter(None, s[1].strip().replace('\n', '').split(',')))
if s0 == 'PARENT_ID':
parent_id = [int(s) for s in s1]
if s0 == 'PARENT_GRID_RATIO':
parent_ratio = [int(s) for s in s1]
if s0 == 'I_PARENT_START':
i_parent_start = [int(s) for s in s1]
if s0 == 'J_PARENT_START':
j_parent_start = [int(s) for s in s1]
if s0 == 'E_WE':
e_we = [int(s) for s in s1]
if s0 == 'E_SN':
e_sn = [int(s) for s in s1]
if s0 == 'DX':
dx = float(s1[0])
if s0 == 'DY':
dy = float(s1[0])
if s0 == 'MAP_PROJ':
map_proj = s1[0].replace("'", '').strip().upper()
if s0 == 'REF_LAT':
pargs['lat_0'] = float(s1[0])
if s0 == 'REF_LON':
pargs['ref_lon'] = float(s1[0])
if s0 == 'TRUELAT1':
pargs['lat_1'] = float(s1[0])
if s0 == 'TRUELAT2':
pargs['lat_2'] = float(s1[0])
if s0 == 'STAND_LON':
pargs['lon_0'] = float(s1[0])
# Sometimes files are not complete
pargs.setdefault('lon_0', pargs['ref_lon'])
# define projection
if map_proj == 'LAMBERT':
pwrf = '+proj=lcc +lat_1={lat_1} +lat_2={lat_2} ' \
'+lat_0={lat_0} +lon_0={lon_0} ' \
'+x_0=0 +y_0=0 +a=6370000 +b=6370000'
pwrf = pwrf.format(**pargs)
elif map_proj == 'MERCATOR':
pwrf = '+proj=merc +lat_ts={lat_1} +lon_0={lon_0} ' \
'+x_0=0 +y_0=0 +a=6370000 +b=6370000'
pwrf = pwrf.format(**pargs)
elif map_proj == 'POLAR':
pwrf = '+proj=stere +lat_ts={lat_1} +lat_0=90.0 +lon_0={lon_0} ' \
'+x_0=0 +y_0=0 +a=6370000 +b=6370000'
pwrf = pwrf.format(**pargs)
else:
raise NotImplementedError('WRF proj not implemented yet: '
'{}'.format(map_proj))
pwrf = gis.check_crs(pwrf)
# get easting and northings from dom center (probably unnecessary here)
e, n = gis.transform_proj(wgs84, pwrf, pargs['ref_lon'], pargs['lat_0'])
# LL corner
nx, ny = e_we[0]-1, e_sn[0]-1
x0 = -(nx-1) / 2. * dx + e # -2 because of staggered grid
y0 = -(ny-1) / 2. * dy + n
# parent grid
grid = gis.Grid(nxny=(nx, ny), x0y0=(x0, y0), dxdy=(dx, dy), proj=pwrf)
# child grids
out = [grid]
for ips, jps, pid, ratio, we, sn in zip(i_parent_start, j_parent_start,
parent_id, parent_ratio,
e_we, e_sn):
if ips == 1:
continue
ips -= 1
jps -= 1
we -= 1
sn -= 1
nx = we / ratio
ny = sn / ratio
if nx != (we / ratio):
raise RuntimeError('e_we and ratios are incompatible: '
'(e_we - 1) / ratio must be integer!')
if ny != (sn / ratio):
raise RuntimeError('e_sn and ratios are incompatible: '
'(e_sn - 1) / ratio must be integer!')
prevgrid = out[pid - 1]
xx, yy = prevgrid.corner_grid.x_coord, prevgrid.corner_grid.y_coord
dx = prevgrid.dx / ratio
dy = prevgrid.dy / ratio
grid = gis.Grid(nxny=(we, sn),
x0y0=(xx[ips], yy[jps]),
dxdy=(dx, dy),
pixel_ref='corner',
proj=pwrf)
out.append(grid.center_grid)
maps = None
if do_maps:
from salem import Map
import shapely.geometry as shpg
if map_kwargs is None:
map_kwargs = {}
maps = []
for i, g in enumerate(out):
m = Map(g, **map_kwargs)
for j in range(i+1, len(out)):
cg = out[j]
left, right, bottom, top = cg.extent
s = np.array([(left, bottom), (right, bottom),
(right, top), (left, top)])
l1 = shpg.LinearRing(s)
m.set_geometry(l1, crs=cg.proj, linewidth=(len(out)-j),
zorder=5)
maps.append(m)
return out, maps
| (fpath, do_maps=True, map_kwargs=None) | [
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] |
22,666 | salem | get_cmap | null | def get_cmap():
raise ImportError('requires matplotlib')
| () | [
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22,667 | salem.utils | get_demo_file | Returns the path to the desired demo file. | def get_demo_file(fname):
"""Returns the path to the desired demo file."""
d = download_demo_files()
if fname in d:
return d[fname]
else:
return None
| (fname) | [
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22,669 | salem.gis | googlestatic_mercator_grid | Mercator map centered on a specified point (google API conventions).
Mostly useful for google maps.
| def googlestatic_mercator_grid(center_ll=None, nx=640, ny=640, zoom=12, scale=1):
"""Mercator map centered on a specified point (google API conventions).
Mostly useful for google maps.
"""
# Number of pixels in an image with a zoom level of 0.
google_pix = 256 * scale
# The equatorial radius of the Earth assuming WGS-84 ellipsoid.
google_earth_radius = 6378137.0
# Make a local proj
lon, lat = center_ll
projloc = check_crs('epsg:3857')
# The size of the image is multiplied by the scaling factor
nx *= scale
ny *= scale
# Meter per pixel
mpix = (2 * np.pi * google_earth_radius) / google_pix / (2**zoom)
xx = nx * mpix
yy = ny * mpix
e, n = transform_proj(wgs84, projloc, lon, lat)
corner = (-xx / 2. + e, yy / 2. + n)
dxdy = (xx / nx, - yy / ny)
return Grid(proj=projloc, x0y0=corner,
nxny=(nx, ny), dxdy=dxdy,
pixel_ref='corner')
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22,670 | salem.sio | grid_from_dataset | Find out if the dataset contains enough info for Salem to understand.
``ds`` can be an xarray dataset or a NetCDF dataset, or anything
that resembles it.
Returns a :py:class:`~salem.Grid` if successful, ``None`` otherwise
| def grid_from_dataset(ds):
"""Find out if the dataset contains enough info for Salem to understand.
``ds`` can be an xarray dataset or a NetCDF dataset, or anything
that resembles it.
Returns a :py:class:`~salem.Grid` if successful, ``None`` otherwise
"""
# try if it is a salem file
out = _salem_grid_from_dataset(ds)
if out is not None:
return out
# maybe it's a WRF file?
if hasattr(ds, 'MOAD_CEN_LAT') or hasattr(ds, 'PROJ_ENVI_STRING'):
# WRF and HAR have some special attributes
return _wrf_grid_from_dataset(ds)
# Try out platte carree
return _lonlat_grid_from_dataset(ds)
| (ds) | [
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22,672 | salem | lazy_property | Decorator that makes a property lazy-evaluated. | def lazy_property(fn):
"""Decorator that makes a property lazy-evaluated."""
attr_name = '_lazy_' + fn.__name__
@property
@wraps(fn)
def _lazy_property(self):
if not hasattr(self, attr_name):
setattr(self, attr_name, fn(self))
return getattr(self, attr_name)
return _lazy_property
| (fn) | [
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] |
22,673 | os | makedirs | makedirs(name [, mode=0o777][, exist_ok=False])
Super-mkdir; create a leaf directory and all intermediate ones. Works like
mkdir, except that any intermediate path segment (not just the rightmost)
will be created if it does not exist. If the target directory already
exists, raise an OSError if exist_ok is False. Otherwise no exception is
raised. This is recursive.
| def makedirs(name, mode=0o777, exist_ok=False):
"""makedirs(name [, mode=0o777][, exist_ok=False])
Super-mkdir; create a leaf directory and all intermediate ones. Works like
mkdir, except that any intermediate path segment (not just the rightmost)
will be created if it does not exist. If the target directory already
exists, raise an OSError if exist_ok is False. Otherwise no exception is
raised. This is recursive.
"""
head, tail = path.split(name)
if not tail:
head, tail = path.split(head)
if head and tail and not path.exists(head):
try:
makedirs(head, exist_ok=exist_ok)
except FileExistsError:
# Defeats race condition when another thread created the path
pass
cdir = curdir
if isinstance(tail, bytes):
cdir = bytes(curdir, 'ASCII')
if tail == cdir: # xxx/newdir/. exists if xxx/newdir exists
return
try:
mkdir(name, mode)
except OSError:
# Cannot rely on checking for EEXIST, since the operating system
# could give priority to other errors like EACCES or EROFS
if not exist_ok or not path.isdir(name):
raise
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22,674 | salem.gis | mercator_grid | Local (transverse) mercator map centered on a specified point.
Parameters
----------
center_ll : (float, float)
tuple of lon, lat coordinates where the map will be centered.
extent : (float, float)
tuple of eastings, northings giving the extent (in m) of the map
ny : int
number of y grid points wanted to cover the map (default: 600)
nx : int
number of x grid points wanted to cover the map (mutually exclusive
with y)
origin : str
'lower-left' or 'upper-left'
transverse : bool
wether to use a transverse or regular mercator. Default should have
been false, but for backwards compatibility reasons we keep it to True
| def mercator_grid(center_ll=None, extent=None, ny=600, nx=None,
origin='lower-left', transverse=True):
"""Local (transverse) mercator map centered on a specified point.
Parameters
----------
center_ll : (float, float)
tuple of lon, lat coordinates where the map will be centered.
extent : (float, float)
tuple of eastings, northings giving the extent (in m) of the map
ny : int
number of y grid points wanted to cover the map (default: 600)
nx : int
number of x grid points wanted to cover the map (mutually exclusive
with y)
origin : str
'lower-left' or 'upper-left'
transverse : bool
wether to use a transverse or regular mercator. Default should have
been false, but for backwards compatibility reasons we keep it to True
"""
# Make a local proj
pname = 'tmerc' if transverse else 'merc'
lon, lat = center_ll
proj_params = dict(proj=pname, lat_0=0., lon_0=lon,
k=0.9996, x_0=0, y_0=0, datum='WGS84')
projloc = pyproj.Proj(proj_params)
# Define a spatial resolution
xx = extent[0]
yy = extent[1]
if nx is None:
nx = ny * xx / yy
else:
ny = nx * yy / xx
nx = np.rint(nx)
ny = np.rint(ny)
e, n = transform_proj(wgs84, projloc, lon, lat)
if origin == 'upper-left':
corner = (-xx / 2. + e, yy / 2. + n)
dxdy = (xx / nx, - yy / ny)
else:
corner = (-xx / 2. + e, -yy / 2. + n)
dxdy = (xx / nx, yy / ny)
return Grid(proj=projloc, x0y0=corner, nxny=(nx, ny), dxdy=dxdy,
pixel_ref='corner')
| (center_ll=None, extent=None, ny=600, nx=None, origin='lower-left', transverse=True) | [
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22,677 | salem.sio | open_metum_dataset | Wrapper to Met Office Unified Model files (experimental)
This is needed because these files are a little messy.
Parameters
----------
file : str
the path to the MetUM file
pole_longitude: optional
Pole longitude position, in unrotated degrees. Defaults to the one
found in the file (if found) and errors otherwise.
pole_latitude: optional
Pole latitude position, in unrotated degrees. Defaults to the one
found in the file (if found) and errors otherwise.
central_rotated_longitude: optional
Longitude rotation about the new pole, in degrees. Defaults to the one
found in the file (if found) and 0 otherwise.
**kwargs : optional
Additional arguments passed on to ``xarray.open_dataset``.
Returns
-------
an xarray Dataset
| def open_metum_dataset(file, pole_longitude=None, pole_latitude=None,
central_rotated_longitude=0., **kwargs):
"""Wrapper to Met Office Unified Model files (experimental)
This is needed because these files are a little messy.
Parameters
----------
file : str
the path to the MetUM file
pole_longitude: optional
Pole longitude position, in unrotated degrees. Defaults to the one
found in the file (if found) and errors otherwise.
pole_latitude: optional
Pole latitude position, in unrotated degrees. Defaults to the one
found in the file (if found) and errors otherwise.
central_rotated_longitude: optional
Longitude rotation about the new pole, in degrees. Defaults to the one
found in the file (if found) and 0 otherwise.
**kwargs : optional
Additional arguments passed on to ``xarray.open_dataset``.
Returns
-------
an xarray Dataset
"""
if not is_rotated_proj_working():
raise RuntimeError('open_metum_dataset currently does not '
'work with certain PROJ versions: '
'https://github.com/pyproj4/pyproj/issues/424')
# open with xarray
ds = xr.open_dataset(file, **kwargs)
# Correct for lons
vn_list = ['grid_longitude_t', 'grid_longitude_uv', 'rlon']
for vn in vn_list:
if vn in ds.coords:
v = ds[vn]
ds[vn] = v.where(v <= 180, v - 360)
# get pyproj string
if pole_longitude is None or pole_latitude is None:
# search for specific attributes names
n_lon = 'grid_north_pole_longitude'
n_lat = 'grid_north_pole_latitude'
# first in dataset
pole_longitude = ds.attrs.get(n_lon, None)
pole_latitude = ds.attrs.get(n_lat, None)
# then as variable attribute
if pole_longitude is None or pole_latitude is None:
for k, v in ds.variables.items():
if n_lon in v.attrs:
pole_longitude = v.attrs[n_lon]
if n_lat in v.attrs:
pole_latitude = v.attrs[n_lat]
if pole_longitude is not None and pole_latitude is not None:
break
srs = ('+ellps=WGS84 +proj=ob_tran +o_proj=latlon '
'+to_meter=0.0174532925199433 '
'+o_lon_p={o_lon_p} +o_lat_p={o_lat_p} +lon_0={lon_0} +no_defs')
params = {
'o_lon_p': central_rotated_longitude,
'o_lat_p': pole_latitude,
'lon_0': 180 + pole_longitude,
}
srs = srs.format(**params)
# add pyproj string everywhere
ds.attrs['pyproj_srs'] = srs
for v in ds.data_vars:
ds[v].attrs['pyproj_srs'] = srs
return ds
| (file, pole_longitude=None, pole_latitude=None, central_rotated_longitude=0.0, **kwargs) | [
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] |
22,678 | salem.sio | open_mf_wrf_dataset | Open multiple WRF files as a single WRF dataset.
Requires dask to be installed. Note that if your files are sliced by time,
certain diagnostic variable computed out of accumulated variables (e.g.
PRCP) won't be available, because not computable lazily.
This code is adapted from xarray's open_mfdataset function. The xarray
license is reproduced in the salem/licenses directory.
Parameters
----------
paths : str or sequence
Either a string glob in the form `path/to/my/files/*.nc` or an
explicit list of files to open.
chunks : int or dict, optional
Dictionary with keys given by dimension names and values given by chunk
sizes. In general, these should divide the dimensions of each dataset.
If int, chunk each dimension by ``chunks`` .
By default, chunks will be chosen to load entire input files into
memory at once. This has a major impact on performance: please see
xarray's full documentation for more details.
compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
String indicating how to compare variables of the same name for
potential conflicts when merging:
- 'broadcast_equals': all values must be equal when variables are
broadcast against each other to ensure common dimensions.
- 'equals': all values and dimensions must be the same.
- 'identical': all values, dimensions and attributes must be the
same.
- 'no_conflicts': only values which are not null in both datasets
must be equal. The returned dataset then contains the combination
of all non-null values.
preprocess : callable, optional
If provided, call this function on each dataset prior to concatenation.
lock : False, True or threading.Lock, optional
This argument is passed on to :py:func:`dask.array.from_array`. By
default, a per-variable lock is used when reading data from netCDF
files with the netcdf4 and h5netcdf engines to avoid issues with
concurrent access when using dask's multithreaded backend.
Returns
-------
xarray.Dataset
| def open_mf_wrf_dataset(paths, chunks=None, compat='no_conflicts', lock=None,
preprocess=None):
"""Open multiple WRF files as a single WRF dataset.
Requires dask to be installed. Note that if your files are sliced by time,
certain diagnostic variable computed out of accumulated variables (e.g.
PRCP) won't be available, because not computable lazily.
This code is adapted from xarray's open_mfdataset function. The xarray
license is reproduced in the salem/licenses directory.
Parameters
----------
paths : str or sequence
Either a string glob in the form `path/to/my/files/*.nc` or an
explicit list of files to open.
chunks : int or dict, optional
Dictionary with keys given by dimension names and values given by chunk
sizes. In general, these should divide the dimensions of each dataset.
If int, chunk each dimension by ``chunks`` .
By default, chunks will be chosen to load entire input files into
memory at once. This has a major impact on performance: please see
xarray's full documentation for more details.
compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
String indicating how to compare variables of the same name for
potential conflicts when merging:
- 'broadcast_equals': all values must be equal when variables are
broadcast against each other to ensure common dimensions.
- 'equals': all values and dimensions must be the same.
- 'identical': all values, dimensions and attributes must be the
same.
- 'no_conflicts': only values which are not null in both datasets
must be equal. The returned dataset then contains the combination
of all non-null values.
preprocess : callable, optional
If provided, call this function on each dataset prior to concatenation.
lock : False, True or threading.Lock, optional
This argument is passed on to :py:func:`dask.array.from_array`. By
default, a per-variable lock is used when reading data from netCDF
files with the netcdf4 and h5netcdf engines to avoid issues with
concurrent access when using dask's multithreaded backend.
Returns
-------
xarray.Dataset
"""
if isinstance(paths, basestring):
paths = sorted(glob(paths))
if not paths:
raise IOError('no files to open')
if lock is None:
lock = NETCDF4_PYTHON_LOCK
try:
datasets = [open_wrf_dataset(p, chunks=chunks or {}, lock=lock)
for p in paths]
except TypeError as err:
if 'lock' not in str(err):
raise
# New xarray backends
datasets = [open_wrf_dataset(p, chunks=chunks or {}) for p in paths]
orig_datasets = datasets
def ds_closer():
for ods in orig_datasets:
ods.close()
if preprocess is not None:
datasets = [preprocess(ds) for ds in datasets]
try:
combined = xr.combine_nested(datasets, combine_attrs='drop_conflicts',
concat_dim='time', compat=compat)
except ValueError:
# Older xarray
combined = xr.combine_nested(datasets, concat_dim='time',
compat=compat)
except AttributeError:
# Even older
combined = xr.auto_combine(datasets, concat_dim='time', compat=compat)
combined.attrs = datasets[0].attrs
try:
combined.set_close(ds_closer)
except AttributeError:
from xarray.backends.api import _MultiFileCloser
mfc = _MultiFileCloser([ods._file_obj for ods in orig_datasets])
combined._file_obj = mfc
# drop accumulated vars if needed (TODO: make this not hard coded)
vns = ['PRCP', 'PRCP_C', 'PRCP_NC']
vns = [vn for vn in vns if vn in combined.variables]
try:
combined = combined.drop_vars(vns)
except AttributeError:
combined = combined.drop(vns)
return combined
| (paths, chunks=None, compat='no_conflicts', lock=None, preprocess=None) | [
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22,679 | salem.sio | open_wrf_dataset | Wrapper around xarray's open_dataset to make WRF files a bit better.
This is needed because variables often have not enough georef attrs
to be understood alone, and datasets tend to loose their attrs with
operations...
Parameters
----------
file : str
the path to the WRF file
**kwargs : optional
Additional arguments passed on to ``xarray.open_dataset``.
Returns
-------
an xarray Dataset
| def open_wrf_dataset(file, **kwargs):
"""Wrapper around xarray's open_dataset to make WRF files a bit better.
This is needed because variables often have not enough georef attrs
to be understood alone, and datasets tend to loose their attrs with
operations...
Parameters
----------
file : str
the path to the WRF file
**kwargs : optional
Additional arguments passed on to ``xarray.open_dataset``.
Returns
-------
an xarray Dataset
"""
nc = netCDF4.Dataset(file)
nc.set_auto_mask(False)
# Change staggered variables to unstaggered ones
for vn, v in nc.variables.items():
if wrftools.Unstaggerer.can_do(v):
nc.variables[vn] = wrftools.Unstaggerer(v)
# Check if we can add diagnostic variables to the pot
for vn in wrftools.var_classes:
cl = getattr(wrftools, vn)
if vn not in nc.variables and cl.can_do(nc):
nc.variables[vn] = cl(nc)
# trick xarray with our custom netcdf
ds = xr.open_dataset(NetCDF4DataStore(nc), **kwargs)
# remove time dimension to lon lat
for vn in ['XLONG', 'XLAT']:
try:
v = ds[vn].isel(Time=0)
ds[vn] = xr.DataArray(v.values, dims=['south_north', 'west_east'])
except (ValueError, KeyError):
pass
# Convert time (if necessary)
if 'Time' in ds.dims:
time = netcdf_time(ds)
if time is not None:
ds['Time'] = time
ds = ds.rename({'Time': 'time'})
tr = {'Time': 'time', 'XLAT': 'lat', 'XLONG': 'lon', 'XTIME': 'xtime'}
tr = {k: tr[k] for k in tr.keys() if k in ds.variables}
ds = ds.rename(tr)
# drop ugly vars
vns = ['Times', 'XLAT_V', 'XLAT_U', 'XLONG_U', 'XLONG_V']
vns = [vn for vn in vns if vn in ds.variables]
try:
ds = ds.drop_vars(vns)
except AttributeError:
ds = ds.drop(vns)
# add cartesian coords
ds['west_east'] = ds.salem.grid.x_coord
ds['south_north'] = ds.salem.grid.y_coord
# add pyproj string everywhere
ds.attrs['pyproj_srs'] = ds.salem.grid.proj.srs
for v in ds.data_vars:
ds[v].attrs['pyproj_srs'] = ds.salem.grid.proj.srs
return ds
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] |
22,680 | salem.sio | open_xr_dataset | Thin wrapper around xarray's open_dataset.
This is needed because variables often have not enough georef attrs
to be understood alone, and datasets tend to loose their attrs with
operations...
Returns
-------
an xarray Dataset
| def open_xr_dataset(file):
"""Thin wrapper around xarray's open_dataset.
This is needed because variables often have not enough georef attrs
to be understood alone, and datasets tend to loose their attrs with
operations...
Returns
-------
an xarray Dataset
"""
# if geotiff, use Salem
p, ext = os.path.splitext(file)
if (ext.lower() == '.tif') or (ext.lower() == '.tiff'):
from salem import GeoTiff
geo = GeoTiff(file)
# TODO: currently everything is loaded in memory (baaad)
da = xr.DataArray(geo.get_vardata(),
coords={'x': geo.grid.center_grid.x_coord,
'y': geo.grid.center_grid.y_coord},
dims=['y', 'x'])
ds = xr.Dataset()
ds.attrs['pyproj_srs'] = geo.grid.proj.srs
ds['data'] = da
ds['data'].attrs['pyproj_srs'] = geo.grid.proj.srs
return ds
# otherwise rely on xarray
ds = xr.open_dataset(file)
# did we get the grid? If not no need to go further
grid = ds.salem.grid
# add cartesian coords for WRF
if 'west_east' in ds.dims:
ds['west_east'] = ds.salem.grid.x_coord
ds['south_north'] = ds.salem.grid.y_coord
# add pyproj string everywhere
ds.attrs['pyproj_srs'] = grid.proj.srs
for v in ds.data_vars:
ds[v].attrs['pyproj_srs'] = grid.proj.srs
return ds
| (file) | [
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22,685 | salem.gis | proj_is_latlong | Shortcut function because of deprecation. | def proj_is_latlong(proj):
"""Shortcut function because of deprecation."""
try:
return proj.is_latlong()
except AttributeError:
return proj.crs.is_geographic
| (proj) | [
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] |
22,686 | salem.gis | proj_is_same | Checks is two pyproj projections are equal.
See https://github.com/jswhit/pyproj/issues/15#issuecomment-208862786
Parameters
----------
p1 : pyproj.Proj
first projection
p2 : pyproj.Proj
second projection
| def proj_is_same(p1, p2):
"""Checks is two pyproj projections are equal.
See https://github.com/jswhit/pyproj/issues/15#issuecomment-208862786
Parameters
----------
p1 : pyproj.Proj
first projection
p2 : pyproj.Proj
second projection
"""
if has_gdal:
# this is more robust, but gdal is a pain
osr.UseExceptions()
s1 = osr.SpatialReference()
s1.ImportFromProj4(p1.srs)
s2 = osr.SpatialReference()
s2.ImportFromProj4(p2.srs)
return s1.IsSame(s2) == 1 # IsSame returns 1 or 0
else:
# at least we can try to sort it
p1 = '+'.join(sorted(p1.srs.split('+')))
p2 = '+'.join(sorted(p2.srs.split('+')))
return p1 == p2
| (p1, p2) | [
0.02919999323785305,
-0.03817329183220863,
0.009883498772978783,
0.08267202228307724,
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-0.04666850343346596,
0.02596372179687023,
0.05126547813415527,
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] |
22,687 | salem.gis | proj_to_cartopy | Converts a pyproj.Proj to a cartopy.crs.Projection
Parameters
----------
proj: pyproj.Proj
the projection to convert
Returns
-------
a cartopy.crs.Projection object
| def proj_to_cartopy(proj):
"""Converts a pyproj.Proj to a cartopy.crs.Projection
Parameters
----------
proj: pyproj.Proj
the projection to convert
Returns
-------
a cartopy.crs.Projection object
"""
import cartopy
import cartopy.crs as ccrs
proj = check_crs(proj)
if proj_is_latlong(proj):
return ccrs.PlateCarree()
srs = proj.srs
if has_gdal:
# this is more robust, as srs could be anything (espg, etc.)
from osgeo import osr
s1 = osr.SpatialReference()
s1.ImportFromProj4(proj.srs)
if s1.ExportToProj4():
srs = s1.ExportToProj4()
km_proj = {'lon_0': 'central_longitude',
'lat_0': 'central_latitude',
'x_0': 'false_easting',
'y_0': 'false_northing',
'lat_ts': 'latitude_true_scale',
'o_lon_p': 'central_rotated_longitude',
'o_lat_p': 'pole_latitude',
'k': 'scale_factor',
'zone': 'zone',
}
km_globe = {'a': 'semimajor_axis',
'b': 'semiminor_axis',
}
km_std = {'lat_1': 'lat_1',
'lat_2': 'lat_2',
}
kw_proj = dict()
kw_globe = dict()
kw_std = dict()
for s in srs.split('+'):
s = s.split('=')
if len(s) != 2:
continue
k = s[0].strip()
v = s[1].strip()
try:
v = float(v)
except:
pass
if k == 'proj':
if v == 'tmerc':
cl = ccrs.TransverseMercator
kw_proj['approx'] = True
if v == 'lcc':
cl = ccrs.LambertConformal
if v == 'merc':
cl = ccrs.Mercator
if v == 'utm':
cl = ccrs.UTM
if v == 'stere':
cl = ccrs.Stereographic
if v == 'ob_tran':
cl = ccrs.RotatedPole
if k in km_proj:
if k == 'zone':
v = int(v)
kw_proj[km_proj[k]] = v
if k in km_globe:
kw_globe[km_globe[k]] = v
if k in km_std:
kw_std[km_std[k]] = v
globe = None
if kw_globe:
globe = ccrs.Globe(ellipse='sphere', **kw_globe)
if kw_std:
kw_proj['standard_parallels'] = (kw_std['lat_1'], kw_std['lat_2'])
# mercatoooor
if cl.__name__ == 'Mercator':
kw_proj.pop('false_easting', None)
kw_proj.pop('false_northing', None)
if Version(cartopy.__version__) < Version('0.15'):
kw_proj.pop('latitude_true_scale', None)
elif cl.__name__ == 'Stereographic':
kw_proj.pop('scale_factor', None)
if 'latitude_true_scale' in kw_proj:
kw_proj['true_scale_latitude'] = kw_proj['latitude_true_scale']
kw_proj.pop('latitude_true_scale', None)
elif cl.__name__ == 'RotatedPole':
if 'central_longitude' in kw_proj:
kw_proj['pole_longitude'] = kw_proj['central_longitude'] - 180
kw_proj.pop('central_longitude', None)
else:
kw_proj.pop('latitude_true_scale', None)
try:
return cl(globe=globe, **kw_proj)
except TypeError:
del kw_proj['approx']
return cl(globe=globe, **kw_proj)
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] |
22,689 | salem.sio | read_shapefile | Reads a shapefile using geopandas.
For convenience, it adds four columns to the dataframe:
[min_x, max_x, min_y, max_y]
Because reading a shapefile can take a long time, Salem provides a
caching utility (cached=True). This will save a pickle of the shapefile
in the cache directory.
| def read_shapefile(fpath, cached=False):
"""Reads a shapefile using geopandas.
For convenience, it adds four columns to the dataframe:
[min_x, max_x, min_y, max_y]
Because reading a shapefile can take a long time, Salem provides a
caching utility (cached=True). This will save a pickle of the shapefile
in the cache directory.
"""
import geopandas as gpd
_, ext = os.path.splitext(fpath)
if ext.lower() in ['.shp', '.p']:
if cached:
cpath = cached_shapefile_path(fpath)
# unpickle if cached, read and pickle if not
if os.path.exists(cpath):
with open(cpath, 'rb') as f:
out = pickle.load(f)
else:
out = read_shapefile(fpath, cached=False)
with open(cpath, 'wb') as f:
pickle.dump(out, f)
else:
out = gpd.read_file(fpath)
out['min_x'] = [g.bounds[0] for g in out.geometry]
out['max_x'] = [g.bounds[2] for g in out.geometry]
out['min_y'] = [g.bounds[1] for g in out.geometry]
out['max_y'] = [g.bounds[3] for g in out.geometry]
else:
raise ValueError('File extension not recognised: {}'.format(ext))
return out
| (fpath, cached=False) | [
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] |
22,690 | salem.sio | read_shapefile_to_grid | Same as read_shapefile but directly transformed to a grid.
The whole thing is cached so that the second call will
will be much faster.
Parameters
----------
fpath: path to the file
grid: the arrival grid
| def read_shapefile_to_grid(fpath, grid):
"""Same as read_shapefile but directly transformed to a grid.
The whole thing is cached so that the second call will
will be much faster.
Parameters
----------
fpath: path to the file
grid: the arrival grid
"""
# ensure it is a cached pickle (copy code smell)
shape_cpath = cached_shapefile_path(fpath)
if not os.path.exists(shape_cpath):
out = read_shapefile(fpath, cached=False)
with open(shape_cpath, 'wb') as f:
pickle.dump(out, f)
return _memory_shapefile_to_grid(shape_cpath, grid=grid,
**grid.to_dict())
| (fpath, grid) | [
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22,691 | salem.utils | reduce | Reduces an array's size by a given factor.
The reduction can be done by any reduction function (default is mean).
Parameters
----------
arr : ndarray
an array of at least 2 dimensions (the reduction is done on the two
last dimensions).
factor : int
the factor to apply for reduction (must be a divider of the original
axis dimension!).
how : func
the reduction function
Returns
-------
the reduced array
| def reduce(arr, factor=1, how=np.mean):
"""Reduces an array's size by a given factor.
The reduction can be done by any reduction function (default is mean).
Parameters
----------
arr : ndarray
an array of at least 2 dimensions (the reduction is done on the two
last dimensions).
factor : int
the factor to apply for reduction (must be a divider of the original
axis dimension!).
how : func
the reduction function
Returns
-------
the reduced array
"""
arr = np.asarray(arr)
shape = list(arr.shape)
newshape = shape[:-2] + [np.round(shape[-2] / factor).astype(int), factor,
np.round(shape[-1] / factor).astype(int), factor]
return how(how(arr.reshape(*newshape), axis=len(newshape)-3),
axis=len(newshape)-2)
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] |
22,694 | salem.gis | transform_geometry | Reprojects a shapely geometry.
Parameters
----------
geom : shapely geometry
the geometry to transform
crs : crs
the geometry's crs
to_crs : crs
the crs into which the geometry must be transformed
Returns
-------
A reprojected geometry
| def transform_geometry(geom, crs=wgs84, to_crs=wgs84):
"""Reprojects a shapely geometry.
Parameters
----------
geom : shapely geometry
the geometry to transform
crs : crs
the geometry's crs
to_crs : crs
the crs into which the geometry must be transformed
Returns
-------
A reprojected geometry
"""
from_crs = check_crs(crs)
to_crs = check_crs(to_crs)
if isinstance(to_crs, pyproj.Proj) and isinstance(from_crs, pyproj.Proj):
project = partial(transform_proj, from_crs, to_crs)
elif isinstance(to_crs, Grid):
project = partial(to_crs.transform, crs=from_crs)
elif isinstance(from_crs, Grid):
project = partial(from_crs.ij_to_crs, crs=to_crs)
else:
raise NotImplementedError()
from shapely.ops import transform
return transform(project, geom)
| (geom, crs=<Other Coordinate Operation Transformer: longlat>
Description: PROJ-based coordinate operation
Area of Use:
- undefined, to_crs=<Other Coordinate Operation Transformer: longlat>
Description: PROJ-based coordinate operation
Area of Use:
- undefined) | [
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22,695 | salem.gis | transform_geopandas | Reprojects a geopandas dataframe.
Parameters
----------
gdf : geopandas.DataFrame
the dataframe to transform (must have a crs attribute)
from_crs : crs
if gdf has no crs attribute (happens when the crs is a salem grid)
to_crs : crs
the crs into which the dataframe must be transformed
inplace : bool
the original dataframe will be overwritten (default: False)
Returns
-------
A projected dataframe
| def transform_geopandas(gdf, from_crs=None, to_crs=wgs84, inplace=False):
"""Reprojects a geopandas dataframe.
Parameters
----------
gdf : geopandas.DataFrame
the dataframe to transform (must have a crs attribute)
from_crs : crs
if gdf has no crs attribute (happens when the crs is a salem grid)
to_crs : crs
the crs into which the dataframe must be transformed
inplace : bool
the original dataframe will be overwritten (default: False)
Returns
-------
A projected dataframe
"""
from shapely.ops import transform
import geopandas as gpd
if from_crs is None:
from_crs = check_crs(gdf.crs)
else:
from_crs = check_crs(from_crs)
to_crs = check_crs(to_crs)
if inplace:
out = gdf
else:
out = gdf.copy()
if isinstance(to_crs, pyproj.Proj) and isinstance(from_crs, pyproj.Proj):
project = partial(transform_proj, from_crs, to_crs)
elif isinstance(to_crs, Grid):
project = partial(to_crs.transform, crs=from_crs)
elif isinstance(from_crs, Grid):
project = partial(from_crs.ij_to_crs, crs=to_crs)
else:
raise NotImplementedError()
# Do the job and set the new attributes
result = out.geometry.apply(lambda geom: transform(project, geom))
result.__class__ = gpd.GeoSeries
if isinstance(to_crs, pyproj.Proj):
to_crs = to_crs.srs
elif isinstance(to_crs, Grid):
to_crs = None
result.crs = to_crs
out.geometry = result
out.crs = to_crs
out['min_x'] = [g.bounds[0] for g in out.geometry]
out['max_x'] = [g.bounds[2] for g in out.geometry]
out['min_y'] = [g.bounds[1] for g in out.geometry]
out['max_y'] = [g.bounds[3] for g in out.geometry]
return out
| (gdf, from_crs=None, to_crs=<Other Coordinate Operation Transformer: longlat>
Description: PROJ-based coordinate operation
Area of Use:
- undefined, inplace=False) | [
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] |
22,696 | salem.gis | transform_proj | Wrapper around the pyproj.transform function.
Transform points between two coordinate systems defined by the Proj
instances p1 and p2.
When two projections are equal, this function avoids quite a bunch of
useless calculations. See https://github.com/jswhit/pyproj/issues/15
Parameters
----------
p1 : pyproj.Proj
projection associated to x and y
p2 : pyproj.Proj
projection into which x, y must be transformed
x : ndarray
eastings
y : ndarray
northings
nocopy : bool
in case the two projections are equal, you can use nocopy if you wish
| def transform_proj(p1, p2, x, y, nocopy=False):
"""Wrapper around the pyproj.transform function.
Transform points between two coordinate systems defined by the Proj
instances p1 and p2.
When two projections are equal, this function avoids quite a bunch of
useless calculations. See https://github.com/jswhit/pyproj/issues/15
Parameters
----------
p1 : pyproj.Proj
projection associated to x and y
p2 : pyproj.Proj
projection into which x, y must be transformed
x : ndarray
eastings
y : ndarray
northings
nocopy : bool
in case the two projections are equal, you can use nocopy if you wish
"""
try:
# This always makes a copy, even if projections are equivalent
return _transform_internal(p1, p2, x, y, always_xy=True)
except TypeError:
if proj_is_same(p1, p2):
if nocopy:
return x, y
else:
return copy.deepcopy(x), copy.deepcopy(y)
return _transform_internal(p1, p2, x, y)
| (p1, p2, x, y, nocopy=False) | [
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] |
22,697 | urllib.request | urlopen | Open the URL url, which can be either a string or a Request object.
*data* must be an object specifying additional data to be sent to
the server, or None if no such data is needed. See Request for
details.
urllib.request module uses HTTP/1.1 and includes a "Connection:close"
header in its HTTP requests.
The optional *timeout* parameter specifies a timeout in seconds for
blocking operations like the connection attempt (if not specified, the
global default timeout setting will be used). This only works for HTTP,
HTTPS and FTP connections.
If *context* is specified, it must be a ssl.SSLContext instance describing
the various SSL options. See HTTPSConnection for more details.
The optional *cafile* and *capath* parameters specify a set of trusted CA
certificates for HTTPS requests. cafile should point to a single file
containing a bundle of CA certificates, whereas capath should point to a
directory of hashed certificate files. More information can be found in
ssl.SSLContext.load_verify_locations().
The *cadefault* parameter is ignored.
This function always returns an object which can work as a
context manager and has the properties url, headers, and status.
See urllib.response.addinfourl for more detail on these properties.
For HTTP and HTTPS URLs, this function returns a http.client.HTTPResponse
object slightly modified. In addition to the three new methods above, the
msg attribute contains the same information as the reason attribute ---
the reason phrase returned by the server --- instead of the response
headers as it is specified in the documentation for HTTPResponse.
For FTP, file, and data URLs and requests explicitly handled by legacy
URLopener and FancyURLopener classes, this function returns a
urllib.response.addinfourl object.
Note that None may be returned if no handler handles the request (though
the default installed global OpenerDirector uses UnknownHandler to ensure
this never happens).
In addition, if proxy settings are detected (for example, when a *_proxy
environment variable like http_proxy is set), ProxyHandler is default
installed and makes sure the requests are handled through the proxy.
| def urlopen(url, data=None, timeout=socket._GLOBAL_DEFAULT_TIMEOUT,
*, cafile=None, capath=None, cadefault=False, context=None):
'''Open the URL url, which can be either a string or a Request object.
*data* must be an object specifying additional data to be sent to
the server, or None if no such data is needed. See Request for
details.
urllib.request module uses HTTP/1.1 and includes a "Connection:close"
header in its HTTP requests.
The optional *timeout* parameter specifies a timeout in seconds for
blocking operations like the connection attempt (if not specified, the
global default timeout setting will be used). This only works for HTTP,
HTTPS and FTP connections.
If *context* is specified, it must be a ssl.SSLContext instance describing
the various SSL options. See HTTPSConnection for more details.
The optional *cafile* and *capath* parameters specify a set of trusted CA
certificates for HTTPS requests. cafile should point to a single file
containing a bundle of CA certificates, whereas capath should point to a
directory of hashed certificate files. More information can be found in
ssl.SSLContext.load_verify_locations().
The *cadefault* parameter is ignored.
This function always returns an object which can work as a
context manager and has the properties url, headers, and status.
See urllib.response.addinfourl for more detail on these properties.
For HTTP and HTTPS URLs, this function returns a http.client.HTTPResponse
object slightly modified. In addition to the three new methods above, the
msg attribute contains the same information as the reason attribute ---
the reason phrase returned by the server --- instead of the response
headers as it is specified in the documentation for HTTPResponse.
For FTP, file, and data URLs and requests explicitly handled by legacy
URLopener and FancyURLopener classes, this function returns a
urllib.response.addinfourl object.
Note that None may be returned if no handler handles the request (though
the default installed global OpenerDirector uses UnknownHandler to ensure
this never happens).
In addition, if proxy settings are detected (for example, when a *_proxy
environment variable like http_proxy is set), ProxyHandler is default
installed and makes sure the requests are handled through the proxy.
'''
global _opener
if cafile or capath or cadefault:
import warnings
warnings.warn("cafile, capath and cadefault are deprecated, use a "
"custom context instead.", DeprecationWarning, 2)
if context is not None:
raise ValueError(
"You can't pass both context and any of cafile, capath, and "
"cadefault"
)
if not _have_ssl:
raise ValueError('SSL support not available')
context = ssl.create_default_context(ssl.Purpose.SERVER_AUTH,
cafile=cafile,
capath=capath)
# send ALPN extension to indicate HTTP/1.1 protocol
context.set_alpn_protocols(['http/1.1'])
https_handler = HTTPSHandler(context=context)
opener = build_opener(https_handler)
elif context:
https_handler = HTTPSHandler(context=context)
opener = build_opener(https_handler)
elif _opener is None:
_opener = opener = build_opener()
else:
opener = _opener
return opener.open(url, data, timeout)
| (url, data=None, timeout=<object object at 0x7f9b3fe2ce50>, *, cafile=None, capath=None, cadefault=False, context=None) | [
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22,704 | geckodriver_autoinstaller | get_firefox_version |
Get installed version of chrome on client
:return: The version of chrome
| def get_firefox_version():
"""
Get installed version of chrome on client
:return: The version of chrome
"""
return utils.get_firefox_version()
| () | [
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22,705 | geckodriver_autoinstaller | install |
Appends the directory of the geckodriver binary file to PATH.
:param cwd: Flag indicating whether to download to current working directory
:return: The file path of geckodriver
| def install(cwd=False):
"""
Appends the directory of the geckodriver binary file to PATH.
:param cwd: Flag indicating whether to download to current working directory
:return: The file path of geckodriver
"""
geckodriver_filepath = utils.download_geckodriver(cwd)
if not geckodriver_filepath:
logging.debug('Can not download geckodriver.')
return
geckodriver_dir = os.path.dirname(geckodriver_filepath)
if 'PATH' not in os.environ:
os.environ['PATH'] = geckodriver_dir
elif geckodriver_dir not in os.environ['PATH']:
os.environ['PATH'] = geckodriver_dir + utils.get_variable_separator() + os.environ['PATH']
return geckodriver_filepath
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22,709 | pyproject_api._frontend | BackendFailed | An error of the build backend. | class BackendFailed(RuntimeError): # noqa: N818
"""An error of the build backend."""
def __init__(self, result: dict[str, Any], out: str, err: str) -> None:
super().__init__()
#: standard output collected while running the command
self.out = out
#: standard error collected while running the command
self.err = err
#: exit code of the command
self.code: int = result.get("code", -2)
#: the type of exception thrown
self.exc_type: str = result.get("exc_type", "missing Exception type")
#: the string representation of the exception thrown
self.exc_msg: str = result.get("exc_msg", "missing Exception message")
def __str__(self) -> str:
return (
f"packaging backend failed{'' if self.code is None else f' (code={self.code})'}, "
f"with {self.exc_type}: {self.exc_msg}\n{self.err}{self.out}"
).rstrip()
def __repr__(self) -> str:
return (
f"{self.__class__.__name__}("
f"result=dict(code={self.code}, exc_type={self.exc_type!r},exc_msg={self.exc_msg!r}),"
f" out={self.out!r}, err={self.err!r})"
)
| (result: 'dict[str, Any]', out: 'str', err: 'str') -> 'None' | [
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22,710 | pyproject_api._frontend | __init__ | null | def __init__(self, result: dict[str, Any], out: str, err: str) -> None:
super().__init__()
#: standard output collected while running the command
self.out = out
#: standard error collected while running the command
self.err = err
#: exit code of the command
self.code: int = result.get("code", -2)
#: the type of exception thrown
self.exc_type: str = result.get("exc_type", "missing Exception type")
#: the string representation of the exception thrown
self.exc_msg: str = result.get("exc_msg", "missing Exception message")
| (self, result: dict[str, typing.Any], out: str, err: str) -> NoneType | [
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22,711 | pyproject_api._frontend | __repr__ | null | def __repr__(self) -> str:
return (
f"{self.__class__.__name__}("
f"result=dict(code={self.code}, exc_type={self.exc_type!r},exc_msg={self.exc_msg!r}),"
f" out={self.out!r}, err={self.err!r})"
)
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22,712 | pyproject_api._frontend | __str__ | null | def __str__(self) -> str:
return (
f"packaging backend failed{'' if self.code is None else f' (code={self.code})'}, "
f"with {self.exc_type}: {self.exc_msg}\n{self.err}{self.out}"
).rstrip()
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] |
22,713 | pyproject_api._frontend | CmdStatus | null | class CmdStatus(ABC):
@property
@abstractmethod
def done(self) -> bool:
""":return: truthful when the command finished running"""
raise NotImplementedError
@abstractmethod
def out_err(self) -> tuple[str, str]:
""":return: standard output and standard error text"""
raise NotImplementedError
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22,714 | pyproject_api._frontend | out_err | :return: standard output and standard error text | @abstractmethod
def out_err(self) -> tuple[str, str]:
""":return: standard output and standard error text"""
raise NotImplementedError
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22,715 | pyproject_api._frontend | EditableResult | Information collected while building an editable wheel. | class EditableResult(NamedTuple):
"""Information collected while building an editable wheel."""
#: path to the built wheel artifact
wheel: Path
#: backend standard output while building the wheel
out: str
#: backend standard error while building the wheel
err: str
| (wheel: pathlib.Path, out: str, err: str) | [
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22,717 | namedtuple_EditableResult | __new__ | Create new instance of EditableResult(wheel, out, err) | from builtins import function
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] |
22,720 | collections | _replace | Return a new EditableResult object replacing specified fields with new values | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
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] |
22,721 | pyproject_api._frontend | Frontend | Abstract base class for a pyproject frontend. | class Frontend(ABC):
"""Abstract base class for a pyproject frontend."""
#: backend key when the ``pyproject.toml`` does not specify it
LEGACY_BUILD_BACKEND: str = "setuptools.build_meta:__legacy__"
#: backend requirements when the ``pyproject.toml`` does not specify it
LEGACY_REQUIRES: tuple[Requirement, ...] = (Requirement("setuptools >= 40.8.0"), Requirement("wheel"))
def __init__( # noqa: PLR0913
self,
root: Path,
backend_paths: tuple[Path, ...],
backend_module: str,
backend_obj: str | None,
requires: tuple[Requirement, ...],
reuse_backend: bool = True, # noqa: FBT001, FBT002
) -> None:
"""
Create a new frontend.
:param root: the root path of the project
:param backend_paths: paths to provision as available to import from for the build backend
:param backend_module: the module where the backend lives
:param backend_obj: the backend object key (will be lookup up within the backend module)
:param requires: build requirements for the backend
:param reuse_backend: a flag indicating if the communication channel should be kept alive between messages
"""
self._root = root
self._backend_paths = backend_paths
self._backend_module = backend_module
self._backend_obj = backend_obj
self.requires: tuple[Requirement, ...] = requires
self._reuse_backend = reuse_backend
self._optional_hooks: OptionalHooks | None = None
@classmethod
def create_args_from_folder(
cls,
folder: Path,
) -> tuple[Path, tuple[Path, ...], str, str | None, tuple[Requirement, ...], bool]:
"""
Frontend creation arguments from a python project folder (thould have a ``pypyproject.toml`` file per PEP-518).
:param folder: the python project folder
:return: the frontend creation args
E.g., to create a frontend from a python project folder:
.. code:: python
frontend = Frontend(*Frontend.create_args_from_folder(project_folder))
"""
py_project_toml = folder / "pyproject.toml"
if py_project_toml.exists():
with py_project_toml.open("rb") as file_handler:
py_project = tomllib.load(file_handler)
build_system = py_project.get("build-system", {})
if "backend-path" in build_system:
backend_paths: tuple[Path, ...] = tuple(folder / p for p in build_system["backend-path"])
else:
backend_paths = ()
if "requires" in build_system:
requires: tuple[Requirement, ...] = tuple(Requirement(r) for r in build_system.get("requires"))
else:
requires = cls.LEGACY_REQUIRES
build_backend = build_system.get("build-backend", cls.LEGACY_BUILD_BACKEND)
else:
backend_paths = ()
requires = cls.LEGACY_REQUIRES
build_backend = cls.LEGACY_BUILD_BACKEND
paths = build_backend.split(":")
backend_module: str = paths[0]
backend_obj: str | None = paths[1] if len(paths) > 1 else None
return folder, backend_paths, backend_module, backend_obj, requires, True
@property
def backend(self) -> str:
""":return: backend key"""
return f"{self._backend_module}{f':{self._backend_obj}' if self._backend_obj else ''}"
@property
def backend_args(self) -> list[str]:
""":return: startup arguments for a backend"""
result: list[str] = [str(_HERE / "_backend.py"), str(self._reuse_backend), self._backend_module]
if self._backend_obj:
result.append(self._backend_obj)
return result
@property
def optional_hooks(self) -> OptionalHooks:
""":return: a dictionary indicating if the optional hook is supported or not"""
if self._optional_hooks is None:
result, _, __ = self._send("_optional_hooks")
self._optional_hooks = result
return self._optional_hooks
def get_requires_for_build_sdist(self, config_settings: ConfigSettings | None = None) -> RequiresBuildSdistResult:
"""
Get build requirements for a source distribution (per PEP-517).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_sdist"]:
result, out, err = self._send(cmd="get_requires_for_build_sdist", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_sdist", result, "list of string", out, err)
return RequiresBuildSdistResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
def get_requires_for_build_wheel(self, config_settings: ConfigSettings | None = None) -> RequiresBuildWheelResult:
"""
Get build requirements for a wheel (per PEP-517).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_wheel"]:
result, out, err = self._send(cmd="get_requires_for_build_wheel", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_wheel", result, "list of string", out, err)
return RequiresBuildWheelResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
def get_requires_for_build_editable(
self,
config_settings: ConfigSettings | None = None,
) -> RequiresBuildEditableResult:
"""
Get build requirements for an editable wheel build (per PEP-660).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_editable"]:
result, out, err = self._send(cmd="get_requires_for_build_editable", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_editable", result, "list of string", out, err)
return RequiresBuildEditableResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
def prepare_metadata_for_build_wheel(
self,
metadata_directory: Path,
config_settings: ConfigSettings | None = None,
) -> MetadataForBuildWheelResult | None:
"""
Build wheel metadata (per PEP-517).
:param metadata_directory: where to generate the metadata
:param config_settings: build arguments
:return: metadata generation result
"""
self._check_metadata_dir(metadata_directory)
basename: str | None = None
if self.optional_hooks["prepare_metadata_for_build_wheel"]:
basename, out, err = self._send(
cmd="prepare_metadata_for_build_wheel",
metadata_directory=metadata_directory,
config_settings=config_settings,
)
if basename is None:
return None
if not isinstance(basename, str):
self._unexpected_response("prepare_metadata_for_build_wheel", basename, str, out, err)
return MetadataForBuildWheelResult(metadata_directory / basename, out, err)
def _check_metadata_dir(self, metadata_directory: Path) -> None:
if metadata_directory == self._root:
msg = f"the project root and the metadata directory can't be the same {self._root}"
raise RuntimeError(msg)
if metadata_directory.exists(): # start with fresh
ensure_empty_dir(metadata_directory)
metadata_directory.mkdir(parents=True, exist_ok=True)
def prepare_metadata_for_build_editable(
self,
metadata_directory: Path,
config_set | (root: 'Path', backend_paths: 'tuple[Path, ...]', backend_module: 'str', backend_obj: 'str | None', requires: 'tuple[Requirement, ...]', reuse_backend: 'bool' = True) -> 'None' | [
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22,722 | pyproject_api._frontend | __init__ |
Create a new frontend.
:param root: the root path of the project
:param backend_paths: paths to provision as available to import from for the build backend
:param backend_module: the module where the backend lives
:param backend_obj: the backend object key (will be lookup up within the backend module)
:param requires: build requirements for the backend
:param reuse_backend: a flag indicating if the communication channel should be kept alive between messages
| def __init__( # noqa: PLR0913
self,
root: Path,
backend_paths: tuple[Path, ...],
backend_module: str,
backend_obj: str | None,
requires: tuple[Requirement, ...],
reuse_backend: bool = True, # noqa: FBT001, FBT002
) -> None:
"""
Create a new frontend.
:param root: the root path of the project
:param backend_paths: paths to provision as available to import from for the build backend
:param backend_module: the module where the backend lives
:param backend_obj: the backend object key (will be lookup up within the backend module)
:param requires: build requirements for the backend
:param reuse_backend: a flag indicating if the communication channel should be kept alive between messages
"""
self._root = root
self._backend_paths = backend_paths
self._backend_module = backend_module
self._backend_obj = backend_obj
self.requires: tuple[Requirement, ...] = requires
self._reuse_backend = reuse_backend
self._optional_hooks: OptionalHooks | None = None
| (self, root: pathlib.Path, backend_paths: tuple[pathlib.Path, ...], backend_module: str, backend_obj: str | None, requires: tuple[packaging.requirements.Requirement, ...], reuse_backend: bool = True) -> NoneType | [
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22,723 | pyproject_api._frontend | _check_metadata_dir | null | def _check_metadata_dir(self, metadata_directory: Path) -> None:
if metadata_directory == self._root:
msg = f"the project root and the metadata directory can't be the same {self._root}"
raise RuntimeError(msg)
if metadata_directory.exists(): # start with fresh
ensure_empty_dir(metadata_directory)
metadata_directory.mkdir(parents=True, exist_ok=True)
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22,724 | pyproject_api._frontend | _send | null | def _send(self, cmd: str, **kwargs: Any) -> tuple[Any, str, str]:
with NamedTemporaryFile(prefix=f"pep517_{cmd}-") as result_file_marker:
result_file = Path(result_file_marker.name).with_suffix(".json")
msg = json.dumps(
{
"cmd": cmd,
"kwargs": {k: (str(v) if isinstance(v, Path) else v) for k, v in kwargs.items()},
"result": str(result_file),
},
)
with self._send_msg(cmd, result_file, msg) as status:
while not status.done: # pragma: no branch
sleep(0.001) # wait a bit for things to happen
if result_file.exists():
try:
with result_file.open("rt") as result_handler:
result = json.load(result_handler)
finally:
result_file.unlink()
else:
result = {
"code": 1,
"exc_type": "RuntimeError",
"exc_msg": f"Backend response file {result_file} is missing",
}
out, err = status.out_err()
if "return" in result:
return result["return"], out, err
raise BackendFailed(result, out, err)
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22,725 | pyproject_api._frontend | _send_msg | null | def get_requires_for_build_sdist(self, config_settings: ConfigSettings | None = None) -> RequiresBuildSdistResult:
"""
Get build requirements for a source distribution (per PEP-517).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_sdist"]:
result, out, err = self._send(cmd="get_requires_for_build_sdist", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_sdist", result, "list of string", out, err)
return RequiresBuildSdistResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
| (self, cmd: str, result_file: pathlib.Path, msg: str) -> Iterator[pyproject_api._frontend.CmdStatus] | [
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22,726 | pyproject_api._frontend | _unexpected_response | null | def _unexpected_response( # noqa: PLR0913
self,
cmd: str,
got: Any,
expected_type: Any,
out: str,
err: str,
) -> NoReturn:
msg = f"{cmd!r} on {self.backend!r} returned {got!r} but expected type {expected_type!r}"
raise BackendFailed({"code": None, "exc_type": TypeError.__name__, "exc_msg": msg}, out, err)
| (self, cmd: str, got: Any, expected_type: Any, out: str, err: str) -> NoReturn | [
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22,728 | pyproject_api._frontend | build_editable |
Build an editable wheel file (per PEP-660).
:param wheel_directory: the folder where to build the editable wheel
:param config_settings: build arguments
:param metadata_directory: wheel metadata folder
:return: wheel build result
| def build_editable(
self,
wheel_directory: Path,
config_settings: ConfigSettings | None = None,
metadata_directory: Path | None = None,
) -> EditableResult:
"""
Build an editable wheel file (per PEP-660).
:param wheel_directory: the folder where to build the editable wheel
:param config_settings: build arguments
:param metadata_directory: wheel metadata folder
:return: wheel build result
"""
wheel_directory.mkdir(parents=True, exist_ok=True)
basename, out, err = self._send(
cmd="build_editable",
wheel_directory=wheel_directory,
config_settings=config_settings,
metadata_directory=metadata_directory,
)
if not isinstance(basename, str):
self._unexpected_response("build_editable", basename, str, out, err)
return EditableResult(wheel_directory / basename, out, err)
| (self, wheel_directory: pathlib.Path, config_settings: Optional[Dict[str, Any]] = None, metadata_directory: Optional[pathlib.Path] = None) -> pyproject_api._frontend.EditableResult | [
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22,729 | pyproject_api._frontend | build_sdist |
Build a source distribution (per PEP-517).
:param sdist_directory: the folder where to build the source distribution
:param config_settings: build arguments
:return: source distribution build result
| def build_sdist(self, sdist_directory: Path, config_settings: ConfigSettings | None = None) -> SdistResult:
"""
Build a source distribution (per PEP-517).
:param sdist_directory: the folder where to build the source distribution
:param config_settings: build arguments
:return: source distribution build result
"""
sdist_directory.mkdir(parents=True, exist_ok=True)
basename, out, err = self._send(
cmd="build_sdist",
sdist_directory=sdist_directory,
config_settings=config_settings,
)
if not isinstance(basename, str):
self._unexpected_response("build_sdist", basename, str, out, err)
return SdistResult(sdist_directory / basename, out, err)
| (self, sdist_directory: pathlib.Path, config_settings: Optional[Dict[str, Any]] = None) -> pyproject_api._frontend.SdistResult | [
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22,730 | pyproject_api._frontend | build_wheel |
Build a wheel file (per PEP-517).
:param wheel_directory: the folder where to build the wheel
:param config_settings: build arguments
:param metadata_directory: wheel metadata folder
:return: wheel build result
| def build_wheel(
self,
wheel_directory: Path,
config_settings: ConfigSettings | None = None,
metadata_directory: Path | None = None,
) -> WheelResult:
"""
Build a wheel file (per PEP-517).
:param wheel_directory: the folder where to build the wheel
:param config_settings: build arguments
:param metadata_directory: wheel metadata folder
:return: wheel build result
"""
wheel_directory.mkdir(parents=True, exist_ok=True)
basename, out, err = self._send(
cmd="build_wheel",
wheel_directory=wheel_directory,
config_settings=config_settings,
metadata_directory=metadata_directory,
)
if not isinstance(basename, str):
self._unexpected_response("build_wheel", basename, str, out, err)
return WheelResult(wheel_directory / basename, out, err)
| (self, wheel_directory: pathlib.Path, config_settings: Optional[Dict[str, Any]] = None, metadata_directory: Optional[pathlib.Path] = None) -> pyproject_api._frontend.WheelResult | [
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22,731 | pyproject_api._frontend | get_requires_for_build_editable |
Get build requirements for an editable wheel build (per PEP-660).
:param config_settings: run arguments
:return: outcome
| def get_requires_for_build_editable(
self,
config_settings: ConfigSettings | None = None,
) -> RequiresBuildEditableResult:
"""
Get build requirements for an editable wheel build (per PEP-660).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_editable"]:
result, out, err = self._send(cmd="get_requires_for_build_editable", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_editable", result, "list of string", out, err)
return RequiresBuildEditableResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
| (self, config_settings: Optional[Dict[str, Any]] = None) -> pyproject_api._frontend.RequiresBuildEditableResult | [
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22,732 | pyproject_api._frontend | get_requires_for_build_sdist |
Get build requirements for a source distribution (per PEP-517).
:param config_settings: run arguments
:return: outcome
| def get_requires_for_build_sdist(self, config_settings: ConfigSettings | None = None) -> RequiresBuildSdistResult:
"""
Get build requirements for a source distribution (per PEP-517).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_sdist"]:
result, out, err = self._send(cmd="get_requires_for_build_sdist", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_sdist", result, "list of string", out, err)
return RequiresBuildSdistResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
| (self, config_settings: Optional[Dict[str, Any]] = None) -> pyproject_api._frontend.RequiresBuildSdistResult | [
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22,733 | pyproject_api._frontend | get_requires_for_build_wheel |
Get build requirements for a wheel (per PEP-517).
:param config_settings: run arguments
:return: outcome
| def get_requires_for_build_wheel(self, config_settings: ConfigSettings | None = None) -> RequiresBuildWheelResult:
"""
Get build requirements for a wheel (per PEP-517).
:param config_settings: run arguments
:return: outcome
"""
if self.optional_hooks["get_requires_for_build_wheel"]:
result, out, err = self._send(cmd="get_requires_for_build_wheel", config_settings=config_settings)
else:
result, out, err = [], "", ""
if not isinstance(result, list) or not all(isinstance(i, str) for i in result):
self._unexpected_response("get_requires_for_build_wheel", result, "list of string", out, err)
return RequiresBuildWheelResult(tuple(Requirement(r) for r in cast(List[str], result)), out, err)
| (self, config_settings: Optional[Dict[str, Any]] = None) -> pyproject_api._frontend.RequiresBuildWheelResult | [
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