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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:])
(self, xi, method=None, *, nu=None)
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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}." )
(self, points, values, method='linear', bounds_error=True, fill_value=nan, *, solver=None, solver_args=None)
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22,603
scipy.interpolate._rgi
_check_dimensionality
null
def _check_dimensionality(self, grid, values): _check_dimensionality(grid, values)
(self, 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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22,605
scipy.interpolate._rgi
_check_points
null
def _check_points(self, points): return _check_points(points)
(self, 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
(self, 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
(self, method, solver=None, **solver_args)
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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
(x, y, pt, k)
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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
(self, indices, norm_distances)
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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
(self, xi)
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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
(self, xi)
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0.02304239384829998, 0.0218039583414793, 0.07850926369428635 ]
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
(version: str) -> None
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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
(self, other: object) -> bool
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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
(self, other: packaging.version._BaseVersion) -> bool
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22,621
packaging.version
__hash__
null
def __hash__(self) -> int: return hash(self._key)
(self) -> int
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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
(self, other: object) -> bool
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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}')>"
(self) -> str
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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)
(file, grid=None, time=None)
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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)
(self, file, grid=None, time=None)
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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)
(self, other: Any) -> bool
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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())
(self) -> int
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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
(self) -> str
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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, )
(self) -> Optional[pyproj.geod.Geod]
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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)
(self, min_confidence: int = 70) -> Optional[int]
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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()
(self) -> 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
(self) -> str
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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')
(center_ll=None, nx=640, ny=640, zoom=12, scale=1)
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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
(name, mode=511, exist_ok=False)
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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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0.011625774204730988, -0.031238403171300888, 0.03361568972468376 ]
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
(file, **kwargs)
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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)
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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)
(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)
(arr, factor=1, how=<function mean at 0x7f9b3c8b9c70>)
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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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-0.02080126479268074, -0.005466558504849672, 0.02535315230488777 ]
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
(cwd=False)
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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})" )
(self) -> str
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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()
(self) -> str
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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
(self) -> tuple[str, str]
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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
(_cls, wheel: ForwardRef('Path'), out: ForwardRef('str'), err: ForwardRef('str'))
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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
(self, /, **kwds)
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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)
(self, metadata_directory: pathlib.Path) -> NoneType
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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)
(self, cmd: str, **kwargs: Any) -> tuple[typing.Any, str, str]
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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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