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AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
wninsd
def wninsd(left, right, window): """ Insert an interval into a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wninsd_c.html :param left: Left endpoints of new interval. :type left: float :param right: Right endpoints of new interval. :type right: float ...
python
def wninsd(left, right, window): """ Insert an interval into a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wninsd_c.html :param left: Left endpoints of new interval. :type left: float :param right: Right endpoints of new interval. :type right: float ...
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Insert an interval into a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wninsd_c.html :param left: Left endpoints of new interval. :type left: float :param right: Right endpoints of new interval. :type right: float :param window: Input window. :type wi...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15541-L15558
15,001
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
wnintd
def wnintd(a, b): """ Place the intersection of two double precision windows into a third window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnintd_c.html :param a: Input window A. :type a: spiceypy.utils.support_types.SpiceCell :param b: Input window B. :type b: spicey...
python
def wnintd(a, b): """ Place the intersection of two double precision windows into a third window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnintd_c.html :param a: Input window A. :type a: spiceypy.utils.support_types.SpiceCell :param b: Input window B. :type b: spicey...
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Place the intersection of two double precision windows into a third window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnintd_c.html :param a: Input window A. :type a: spiceypy.utils.support_types.SpiceCell :param b: Input window B. :type b: spiceypy.utils.support_types.SpiceCe...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15562-L15583
15,002
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
wnreld
def wnreld(a, op, b): """ Compare two double precision windows. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnreld_c.html :param a: First window. :type a: spiceypy.utils.support_types.SpiceCell :param op: Comparison operator. :type op: str :param b: Second window. :t...
python
def wnreld(a, op, b): """ Compare two double precision windows. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnreld_c.html :param a: First window. :type a: spiceypy.utils.support_types.SpiceCell :param op: Comparison operator. :type op: str :param b: Second window. :t...
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Compare two double precision windows. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnreld_c.html :param a: First window. :type a: spiceypy.utils.support_types.SpiceCell :param op: Comparison operator. :type op: str :param b: Second window. :type b: spiceypy.utils.support_type...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15587-L15608
15,003
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
wnsumd
def wnsumd(window): """ Summarize the contents of a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnsumd_c.html :param window: Window to be summarized. :type window: spiceypy.utils.support_types.SpiceCell :return: Total measure of intervals in wi...
python
def wnsumd(window): """ Summarize the contents of a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnsumd_c.html :param window: Window to be summarized. :type window: spiceypy.utils.support_types.SpiceCell :return: Total measure of intervals in wi...
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Summarize the contents of a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnsumd_c.html :param window: Window to be summarized. :type window: spiceypy.utils.support_types.SpiceCell :return: Total measure of intervals in window, Average measur...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15612-L15637
15,004
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
wnunid
def wnunid(a, b): """ Place the union of two double precision windows into a third window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnunid_c.html :param a: Input window A. :type a: spiceypy.utils.support_types.SpiceCell :param b: Input window B. :type b: spiceypy.utils.sup...
python
def wnunid(a, b): """ Place the union of two double precision windows into a third window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnunid_c.html :param a: Input window A. :type a: spiceypy.utils.support_types.SpiceCell :param b: Input window B. :type b: spiceypy.utils.sup...
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Place the union of two double precision windows into a third window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnunid_c.html :param a: Input window A. :type a: spiceypy.utils.support_types.SpiceCell :param b: Input window B. :type b: spiceypy.utils.support_types.SpiceCell :retu...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15641-L15660
15,005
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
wnvald
def wnvald(insize, n, window): """ Form a valid double precision window from the contents of a window array. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnvald_c.html :param insize: Size of window. :type insize: int :param n: Original number of endpoints. :type n: int ...
python
def wnvald(insize, n, window): """ Form a valid double precision window from the contents of a window array. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnvald_c.html :param insize: Size of window. :type insize: int :param n: Original number of endpoints. :type n: int ...
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Form a valid double precision window from the contents of a window array. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnvald_c.html :param insize: Size of window. :type insize: int :param n: Original number of endpoints. :type n: int :param window: Input window. :type wi...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15664-L15685
15,006
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
writln
def writln(line, unit): """ Internal undocumented command for writing a text line to a logical unit No URL available; relevant lines from SPICE source: FORTRAN SPICE, writln.f:: C$Procedure WRITLN ( Write a text line to a logical unit ) SUBROUTINE WRITLN ( LINE, UNIT ) ...
python
def writln(line, unit): """ Internal undocumented command for writing a text line to a logical unit No URL available; relevant lines from SPICE source: FORTRAN SPICE, writln.f:: C$Procedure WRITLN ( Write a text line to a logical unit ) SUBROUTINE WRITLN ( LINE, UNIT ) ...
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Internal undocumented command for writing a text line to a logical unit No URL available; relevant lines from SPICE source: FORTRAN SPICE, writln.f:: C$Procedure WRITLN ( Write a text line to a logical unit ) SUBROUTINE WRITLN ( LINE, UNIT ) CHARACTER*(*) LINE ...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15689-L15720
15,007
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
xfmsta
def xfmsta(input_state, input_coord_sys, output_coord_sys, body): """ Transform a state between coordinate systems. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xfmsta_c.html :param input_state: Input state. :type input_state: 6-Element Array of floats :param input_coord_sys: Curre...
python
def xfmsta(input_state, input_coord_sys, output_coord_sys, body): """ Transform a state between coordinate systems. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xfmsta_c.html :param input_state: Input state. :type input_state: 6-Element Array of floats :param input_coord_sys: Curre...
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Transform a state between coordinate systems. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xfmsta_c.html :param input_state: Input state. :type input_state: 6-Element Array of floats :param input_coord_sys: Current (input) coordinate system. :type input_coord_sys: str :param outpu...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15774-L15800
15,008
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
xpose
def xpose(m): """ Transpose a 3x3 matrix http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xpose_c.html :param m: Matrix to be transposed :type m: 3x3-Element Array of floats :return: Transposed matrix :rtype: 3x3-Element Array of floats """ m = stypes.toDoubleMatrix(m) ...
python
def xpose(m): """ Transpose a 3x3 matrix http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xpose_c.html :param m: Matrix to be transposed :type m: 3x3-Element Array of floats :return: Transposed matrix :rtype: 3x3-Element Array of floats """ m = stypes.toDoubleMatrix(m) ...
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Transpose a 3x3 matrix http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xpose_c.html :param m: Matrix to be transposed :type m: 3x3-Element Array of floats :return: Transposed matrix :rtype: 3x3-Element Array of floats
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15804-L15818
15,009
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
xpose6
def xpose6(m): """ Transpose a 6x6 matrix http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xpose6_c.html :param m: Matrix to be transposed :type m: list[6][6] :return: Transposed matrix :rtype: list[6][6] """ m = stypes.toDoubleMatrix(m) mout = stypes.emptyDoubleMatrix(...
python
def xpose6(m): """ Transpose a 6x6 matrix http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xpose6_c.html :param m: Matrix to be transposed :type m: list[6][6] :return: Transposed matrix :rtype: list[6][6] """ m = stypes.toDoubleMatrix(m) mout = stypes.emptyDoubleMatrix(...
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Transpose a 6x6 matrix http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xpose6_c.html :param m: Matrix to be transposed :type m: list[6][6] :return: Transposed matrix :rtype: list[6][6]
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15822-L15836
15,010
AndrewAnnex/SpiceyPy
spiceypy/spiceypy.py
xposeg
def xposeg(matrix, nrow, ncol): """ Transpose a matrix of arbitrary size in place, the matrix need not be square. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xposeg_c.html :param matrix: Matrix to be transposed :type matrix: NxM-Element Array of floats :param nrow: Number of r...
python
def xposeg(matrix, nrow, ncol): """ Transpose a matrix of arbitrary size in place, the matrix need not be square. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xposeg_c.html :param matrix: Matrix to be transposed :type matrix: NxM-Element Array of floats :param nrow: Number of r...
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Transpose a matrix of arbitrary size in place, the matrix need not be square. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/xposeg_c.html :param matrix: Matrix to be transposed :type matrix: NxM-Element Array of floats :param nrow: Number of rows of input matrix. :type nrow: int ...
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/spiceypy.py#L15840-L15861
15,011
AndrewAnnex/SpiceyPy
spiceypy/utils/callbacks.py
CallUDFUNS
def CallUDFUNS(f, x): """ We are given a UDF CFUNCTYPE and want to call it in python :param f: SpiceUDFUNS :type f: CFUNCTYPE :param x: some scalar :type x: float :return: value :rtype: float """ value = c_double() f(x, byref(value)) return value.value
python
def CallUDFUNS(f, x): """ We are given a UDF CFUNCTYPE and want to call it in python :param f: SpiceUDFUNS :type f: CFUNCTYPE :param x: some scalar :type x: float :return: value :rtype: float """ value = c_double() f(x, byref(value)) return value.value
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fc20a9b9de68b58eed5b332f0c051fb343a6e335
https://github.com/AndrewAnnex/SpiceyPy/blob/fc20a9b9de68b58eed5b332f0c051fb343a6e335/spiceypy/utils/callbacks.py#L158-L171
15,012
mnick/scikit-tensor
sktensor/dedicom.py
Updater.updateD_G
def updateD_G(self, x): """ Compute Gradient for update of D See [2] for derivation of Gradient """ self.precompute(x) g = zeros(len(x)) Ai = zeros(self.A.shape[0]) for i in range(len(g)): Ai = self.A[:, i] g[i] = (self.E * (dot(se...
python
def updateD_G(self, x): """ Compute Gradient for update of D See [2] for derivation of Gradient """ self.precompute(x) g = zeros(len(x)) Ai = zeros(self.A.shape[0]) for i in range(len(g)): Ai = self.A[:, i] g[i] = (self.E * (dot(se...
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Compute Gradient for update of D See [2] for derivation of Gradient
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/dedicom.py#L226-L239
15,013
mnick/scikit-tensor
sktensor/dedicom.py
Updater.updateD_H
def updateD_H(self, x): """ Compute Hessian for update of D See [2] for derivation of Hessian """ self.precompute(x) H = zeros((len(x), len(x))) Ai = zeros(self.A.shape[0]) Aj = zeros(Ai.shape) for i in range(len(x)): Ai = self.A[:, i]...
python
def updateD_H(self, x): """ Compute Hessian for update of D See [2] for derivation of Hessian """ self.precompute(x) H = zeros((len(x), len(x))) Ai = zeros(self.A.shape[0]) Aj = zeros(Ai.shape) for i in range(len(x)): Ai = self.A[:, i]...
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Compute Hessian for update of D See [2] for derivation of Hessian
[ "Compute", "Hessian", "for", "update", "of", "D" ]
fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/dedicom.py#L241-L269
15,014
mnick/scikit-tensor
sktensor/pyutils.py
is_sequence
def is_sequence(obj): """ Helper function to determine sequences across Python 2.x and 3.x """ try: from collections import Sequence except ImportError: from operator import isSequenceType return isSequenceType(obj) else: return isinstance(obj, Sequence)
python
def is_sequence(obj): """ Helper function to determine sequences across Python 2.x and 3.x """ try: from collections import Sequence except ImportError: from operator import isSequenceType return isSequenceType(obj) else: return isinstance(obj, Sequence)
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Helper function to determine sequences across Python 2.x and 3.x
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/pyutils.py#L8-L19
15,015
mnick/scikit-tensor
sktensor/pyutils.py
is_number
def is_number(obj): """ Helper function to determine numbers across Python 2.x and 3.x """ try: from numbers import Number except ImportError: from operator import isNumberType return isNumberType(obj) else: return isinstance(obj, Number)
python
def is_number(obj): """ Helper function to determine numbers across Python 2.x and 3.x """ try: from numbers import Number except ImportError: from operator import isNumberType return isNumberType(obj) else: return isinstance(obj, Number)
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Helper function to determine numbers across Python 2.x and 3.x
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/pyutils.py#L22-L33
15,016
mnick/scikit-tensor
sktensor/pyutils.py
func_attr
def func_attr(f, attr): """ Helper function to get the attribute of a function like, name, code, defaults across Python 2.x and 3.x """ if hasattr(f, 'func_%s' % attr): return getattr(f, 'func_%s' % attr) elif hasattr(f, '__%s__' % attr): return getattr(f, '__%s__' % attr) el...
python
def func_attr(f, attr): """ Helper function to get the attribute of a function like, name, code, defaults across Python 2.x and 3.x """ if hasattr(f, 'func_%s' % attr): return getattr(f, 'func_%s' % attr) elif hasattr(f, '__%s__' % attr): return getattr(f, '__%s__' % attr) el...
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Helper function to get the attribute of a function like, name, code, defaults across Python 2.x and 3.x
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/pyutils.py#L36-L46
15,017
mnick/scikit-tensor
sktensor/pyutils.py
from_to_without
def from_to_without(frm, to, without, step=1, skip=1, reverse=False, separate=False): """ Helper function to create ranges with missing entries """ if reverse: frm, to = (to - 1), (frm - 1) step *= -1 skip *= -1 a = list(range(frm, without, step)) b = list(range(without +...
python
def from_to_without(frm, to, without, step=1, skip=1, reverse=False, separate=False): """ Helper function to create ranges with missing entries """ if reverse: frm, to = (to - 1), (frm - 1) step *= -1 skip *= -1 a = list(range(frm, without, step)) b = list(range(without +...
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Helper function to create ranges with missing entries
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/pyutils.py#L49-L62
15,018
mnick/scikit-tensor
sktensor/dtensor.py
dtensor.unfold
def unfold(self, mode): """ Unfolds a dense tensor in mode n. Parameters ---------- mode : int Mode in which tensor is unfolded Returns ------- unfolded_dtensor : unfolded_dtensor object Tensor unfolded along mode Example...
python
def unfold(self, mode): """ Unfolds a dense tensor in mode n. Parameters ---------- mode : int Mode in which tensor is unfolded Returns ------- unfolded_dtensor : unfolded_dtensor object Tensor unfolded along mode Example...
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Unfolds a dense tensor in mode n. Parameters ---------- mode : int Mode in which tensor is unfolded Returns ------- unfolded_dtensor : unfolded_dtensor object Tensor unfolded along mode Examples -------- Create dense tens...
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/dtensor.py#L103-L150
15,019
mnick/scikit-tensor
sktensor/utils.py
accum
def accum(subs, vals, func=np.sum, issorted=False, with_subs=False): """ NumPy implementation for Matlab's accumarray """ # sort accmap for ediff if not sorted if not issorted: sidx = lexsort(subs, axis=0) subs = [sub[sidx] for sub in subs] vals = vals[sidx] idx = np.wher...
python
def accum(subs, vals, func=np.sum, issorted=False, with_subs=False): """ NumPy implementation for Matlab's accumarray """ # sort accmap for ediff if not sorted if not issorted: sidx = lexsort(subs, axis=0) subs = [sub[sidx] for sub in subs] vals = vals[sidx] idx = np.wher...
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NumPy implementation for Matlab's accumarray
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/utils.py#L5-L26
15,020
mnick/scikit-tensor
sktensor/tucker.py
hooi
def hooi(X, rank, **kwargs): """ Compute Tucker decomposition of a tensor using Higher-Order Orthogonal Iterations. Parameters ---------- X : tensor_mixin The tensor to be decomposed rank : array_like The rank of the decomposition for each mode of the tensor. The len...
python
def hooi(X, rank, **kwargs): """ Compute Tucker decomposition of a tensor using Higher-Order Orthogonal Iterations. Parameters ---------- X : tensor_mixin The tensor to be decomposed rank : array_like The rank of the decomposition for each mode of the tensor. The len...
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Compute Tucker decomposition of a tensor using Higher-Order Orthogonal Iterations. Parameters ---------- X : tensor_mixin The tensor to be decomposed rank : array_like The rank of the decomposition for each mode of the tensor. The length of ``rank`` must match the number of ...
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/tucker.py#L36-L123
15,021
mnick/scikit-tensor
sktensor/ktensor.py
ktensor.uttkrp
def uttkrp(self, U, mode): """ Unfolded tensor times Khatri-Rao product for Kruskal tensors Parameters ---------- X : tensor_mixin Tensor whose unfolding should be multiplied. U : list of array_like Matrices whose Khatri-Rao product should be mul...
python
def uttkrp(self, U, mode): """ Unfolded tensor times Khatri-Rao product for Kruskal tensors Parameters ---------- X : tensor_mixin Tensor whose unfolding should be multiplied. U : list of array_like Matrices whose Khatri-Rao product should be mul...
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Unfolded tensor times Khatri-Rao product for Kruskal tensors Parameters ---------- X : tensor_mixin Tensor whose unfolding should be multiplied. U : list of array_like Matrices whose Khatri-Rao product should be multiplied. mode : int Mode in ...
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/ktensor.py#L84-L111
15,022
mnick/scikit-tensor
sktensor/ktensor.py
ktensor.norm
def norm(self): """ Efficient computation of the Frobenius norm for ktensors Returns ------- norm : float Frobenius norm of the ktensor """ N = len(self.shape) coef = outer(self.lmbda, self.lmbda) for i in range(N): coef = ...
python
def norm(self): """ Efficient computation of the Frobenius norm for ktensors Returns ------- norm : float Frobenius norm of the ktensor """ N = len(self.shape) coef = outer(self.lmbda, self.lmbda) for i in range(N): coef = ...
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Efficient computation of the Frobenius norm for ktensors Returns ------- norm : float Frobenius norm of the ktensor
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/ktensor.py#L113-L126
15,023
mnick/scikit-tensor
sktensor/ktensor.py
ktensor.innerprod
def innerprod(self, X): """ Efficient computation of the inner product of a ktensor with another tensor Parameters ---------- X : tensor_mixin Tensor to compute the inner product with. Returns ------- p : float Inner product betwe...
python
def innerprod(self, X): """ Efficient computation of the inner product of a ktensor with another tensor Parameters ---------- X : tensor_mixin Tensor to compute the inner product with. Returns ------- p : float Inner product betwe...
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Efficient computation of the inner product of a ktensor with another tensor Parameters ---------- X : tensor_mixin Tensor to compute the inner product with. Returns ------- p : float Inner product between ktensor and X.
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/ktensor.py#L128-L150
15,024
mnick/scikit-tensor
sktensor/ktensor.py
ktensor.toarray
def toarray(self): """ Converts a ktensor into a dense multidimensional ndarray Returns ------- arr : np.ndarray Fully computed multidimensional array whose shape matches the original ktensor. """ A = dot(self.lmbda, khatrirao(tuple(self.U...
python
def toarray(self): """ Converts a ktensor into a dense multidimensional ndarray Returns ------- arr : np.ndarray Fully computed multidimensional array whose shape matches the original ktensor. """ A = dot(self.lmbda, khatrirao(tuple(self.U...
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Converts a ktensor into a dense multidimensional ndarray Returns ------- arr : np.ndarray Fully computed multidimensional array whose shape matches the original ktensor.
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/ktensor.py#L152-L163
15,025
mnick/scikit-tensor
sktensor/sptensor.py
fromarray
def fromarray(A): """Create a sptensor from a dense numpy array""" subs = np.nonzero(A) vals = A[subs] return sptensor(subs, vals, shape=A.shape, dtype=A.dtype)
python
def fromarray(A): """Create a sptensor from a dense numpy array""" subs = np.nonzero(A) vals = A[subs] return sptensor(subs, vals, shape=A.shape, dtype=A.dtype)
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Create a sptensor from a dense numpy array
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/sptensor.py#L362-L366
15,026
mnick/scikit-tensor
sktensor/sptensor.py
sptensor._ttm_me_compute
def _ttm_me_compute(self, V, edims, sdims, transp): """ Assume Y = T x_i V_i for i = 1...n can fit into memory """ shapeY = np.copy(self.shape) # Determine size of Y for n in np.union1d(edims, sdims): shapeY[n] = V[n].shape[1] if transp else V[n].shape[0] ...
python
def _ttm_me_compute(self, V, edims, sdims, transp): """ Assume Y = T x_i V_i for i = 1...n can fit into memory """ shapeY = np.copy(self.shape) # Determine size of Y for n in np.union1d(edims, sdims): shapeY[n] = V[n].shape[1] if transp else V[n].shape[0] ...
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Assume Y = T x_i V_i for i = 1...n can fit into memory
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/sptensor.py#L179-L195
15,027
mnick/scikit-tensor
sktensor/sptensor.py
sptensor.transpose
def transpose(self, axes=None): """ Compute transpose of sparse tensors. Parameters ---------- axes : array_like of ints, optional Permute the axes according to the values given. Returns ------- d : dtensor dtensor with axes permu...
python
def transpose(self, axes=None): """ Compute transpose of sparse tensors. Parameters ---------- axes : array_like of ints, optional Permute the axes according to the values given. Returns ------- d : dtensor dtensor with axes permu...
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Compute transpose of sparse tensors. Parameters ---------- axes : array_like of ints, optional Permute the axes according to the values given. Returns ------- d : dtensor dtensor with axes permuted.
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/sptensor.py#L232-L252
15,028
mnick/scikit-tensor
sktensor/sptensor.py
sptensor.concatenate
def concatenate(self, tpl, axis=None): """ Concatenates sparse tensors. Parameters ---------- tpl : tuple of sparse tensors Tensors to be concatenated. axis : int, optional Axis along which concatenation should take place """ if ...
python
def concatenate(self, tpl, axis=None): """ Concatenates sparse tensors. Parameters ---------- tpl : tuple of sparse tensors Tensors to be concatenated. axis : int, optional Axis along which concatenation should take place """ if ...
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Concatenates sparse tensors. Parameters ---------- tpl : tuple of sparse tensors Tensors to be concatenated. axis : int, optional Axis along which concatenation should take place
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/sptensor.py#L254-L272
15,029
mnick/scikit-tensor
sktensor/sptensor.py
unfolded_sptensor.fold
def fold(self): """ Recreate original tensor by folding unfolded_sptensor according toc ``ten_shape``. Returns ------- T : sptensor Sparse tensor that is created by refolding according to ``ten_shape``. """ nsubs = zeros((len(self.data), len(s...
python
def fold(self): """ Recreate original tensor by folding unfolded_sptensor according toc ``ten_shape``. Returns ------- T : sptensor Sparse tensor that is created by refolding according to ``ten_shape``. """ nsubs = zeros((len(self.data), len(s...
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Recreate original tensor by folding unfolded_sptensor according toc ``ten_shape``. Returns ------- T : sptensor Sparse tensor that is created by refolding according to ``ten_shape``.
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/sptensor.py#L339-L359
15,030
mnick/scikit-tensor
sktensor/rescal.py
_updateA
def _updateA(X, A, R, P, Z, lmbdaA, orthogonalize): """Update step for A""" n, rank = A.shape F = zeros((n, rank), dtype=A.dtype) E = zeros((rank, rank), dtype=A.dtype) AtA = dot(A.T, A) for i in range(len(X)): F += X[i].dot(dot(A, R[i].T)) + X[i].T.dot(dot(A, R[i])) E += dot(R...
python
def _updateA(X, A, R, P, Z, lmbdaA, orthogonalize): """Update step for A""" n, rank = A.shape F = zeros((n, rank), dtype=A.dtype) E = zeros((rank, rank), dtype=A.dtype) AtA = dot(A.T, A) for i in range(len(X)): F += X[i].dot(dot(A, R[i].T)) + X[i].T.dot(dot(A, R[i])) E += dot(R...
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Update step for A
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/rescal.py#L212-L234
15,031
mnick/scikit-tensor
sktensor/rescal.py
_compute_fval
def _compute_fval(X, A, R, P, Z, lmbdaA, lmbdaR, lmbdaZ, normX): """Compute fit for full slices""" f = lmbdaA * norm(A) ** 2 for i in range(len(X)): ARAt = dot(A, dot(R[i], A.T)) f += (norm(X[i] - ARAt) ** 2) / normX[i] + lmbdaR * norm(R[i]) ** 2 return f
python
def _compute_fval(X, A, R, P, Z, lmbdaA, lmbdaR, lmbdaZ, normX): """Compute fit for full slices""" f = lmbdaA * norm(A) ** 2 for i in range(len(X)): ARAt = dot(A, dot(R[i], A.T)) f += (norm(X[i] - ARAt) ** 2) / normX[i] + lmbdaR * norm(R[i]) ** 2 return f
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Compute fit for full slices
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/rescal.py#L268-L274
15,032
mnick/scikit-tensor
sktensor/cp.py
als
def als(X, rank, **kwargs): """ Alternating least-sqaures algorithm to compute the CP decomposition. Parameters ---------- X : tensor_mixin The tensor to be decomposed. rank : int Tensor rank of the decomposition. init : {'random', 'nvecs'}, optional The initializati...
python
def als(X, rank, **kwargs): """ Alternating least-sqaures algorithm to compute the CP decomposition. Parameters ---------- X : tensor_mixin The tensor to be decomposed. rank : int Tensor rank of the decomposition. init : {'random', 'nvecs'}, optional The initializati...
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Alternating least-sqaures algorithm to compute the CP decomposition. Parameters ---------- X : tensor_mixin The tensor to be decomposed. rank : int Tensor rank of the decomposition. init : {'random', 'nvecs'}, optional The initialization method to use. - random :...
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/cp.py#L46-L171
15,033
mnick/scikit-tensor
sktensor/cp.py
_init
def _init(init, X, N, rank, dtype): """ Initialization for CP models """ Uinit = [None for _ in range(N)] if isinstance(init, list): Uinit = init elif init == 'random': for n in range(1, N): Uinit[n] = array(rand(X.shape[n], rank), dtype=dtype) elif init == 'nvecs...
python
def _init(init, X, N, rank, dtype): """ Initialization for CP models """ Uinit = [None for _ in range(N)] if isinstance(init, list): Uinit = init elif init == 'random': for n in range(1, N): Uinit[n] = array(rand(X.shape[n], rank), dtype=dtype) elif init == 'nvecs...
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Initialization for CP models
[ "Initialization", "for", "CP", "models" ]
fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/cp.py#L190-L205
15,034
mnick/scikit-tensor
sktensor/core.py
nvecs
def nvecs(X, n, rank, do_flipsign=True, dtype=np.float): """ Eigendecomposition of mode-n unfolding of a tensor """ Xn = X.unfold(n) if issparse_mat(Xn): Xn = csr_matrix(Xn, dtype=dtype) Y = Xn.dot(Xn.T) _, U = eigsh(Y, rank, which='LM') else: Y = Xn.dot(Xn.T) ...
python
def nvecs(X, n, rank, do_flipsign=True, dtype=np.float): """ Eigendecomposition of mode-n unfolding of a tensor """ Xn = X.unfold(n) if issparse_mat(Xn): Xn = csr_matrix(Xn, dtype=dtype) Y = Xn.dot(Xn.T) _, U = eigsh(Y, rank, which='LM') else: Y = Xn.dot(Xn.T) ...
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Eigendecomposition of mode-n unfolding of a tensor
[ "Eigendecomposition", "of", "mode", "-", "n", "unfolding", "of", "a", "tensor" ]
fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/core.py#L275-L294
15,035
mnick/scikit-tensor
sktensor/core.py
flipsign
def flipsign(U): """ Flip sign of factor matrices such that largest magnitude element will be positive """ midx = abs(U).argmax(axis=0) for i in range(U.shape[1]): if U[midx[i], i] < 0: U[:, i] = -U[:, i] return U
python
def flipsign(U): """ Flip sign of factor matrices such that largest magnitude element will be positive """ midx = abs(U).argmax(axis=0) for i in range(U.shape[1]): if U[midx[i], i] < 0: U[:, i] = -U[:, i] return U
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Flip sign of factor matrices such that largest magnitude element will be positive
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/core.py#L297-L306
15,036
mnick/scikit-tensor
sktensor/core.py
khatrirao
def khatrirao(A, reverse=False): """ Compute the columnwise Khatri-Rao product. Parameters ---------- A : tuple of ndarrays Matrices for which the columnwise Khatri-Rao product should be computed reverse : boolean Compute Khatri-Rao product in reverse order Examples --...
python
def khatrirao(A, reverse=False): """ Compute the columnwise Khatri-Rao product. Parameters ---------- A : tuple of ndarrays Matrices for which the columnwise Khatri-Rao product should be computed reverse : boolean Compute Khatri-Rao product in reverse order Examples --...
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Compute the columnwise Khatri-Rao product. Parameters ---------- A : tuple of ndarrays Matrices for which the columnwise Khatri-Rao product should be computed reverse : boolean Compute Khatri-Rao product in reverse order Examples -------- >>> A = np.random.randn(5, 2) ...
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fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/core.py#L333-L378
15,037
mnick/scikit-tensor
sktensor/core.py
teneye
def teneye(dim, order): """ Create tensor with superdiagonal all one, rest zeros """ I = zeros(dim ** order) for f in range(dim): idd = f for i in range(1, order): idd = idd + dim ** (i - 1) * (f - 1) I[idd] = 1 return I.reshape(ones(order) * dim)
python
def teneye(dim, order): """ Create tensor with superdiagonal all one, rest zeros """ I = zeros(dim ** order) for f in range(dim): idd = f for i in range(1, order): idd = idd + dim ** (i - 1) * (f - 1) I[idd] = 1 return I.reshape(ones(order) * dim)
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Create tensor with superdiagonal all one, rest zeros
[ "Create", "tensor", "with", "superdiagonal", "all", "one", "rest", "zeros" ]
fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/core.py#L381-L391
15,038
mnick/scikit-tensor
sktensor/core.py
tensor_mixin.ttm
def ttm(self, V, mode=None, transp=False, without=False): """ Tensor times matrix product Parameters ---------- V : M x N array_like or list of M_i x N_i array_likes Matrix or list of matrices for which the tensor times matrix products should be performed...
python
def ttm(self, V, mode=None, transp=False, without=False): """ Tensor times matrix product Parameters ---------- V : M x N array_like or list of M_i x N_i array_likes Matrix or list of matrices for which the tensor times matrix products should be performed...
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Tensor times matrix product Parameters ---------- V : M x N array_like or list of M_i x N_i array_likes Matrix or list of matrices for which the tensor times matrix products should be performed mode : int or list of int's, optional Modes along which t...
[ "Tensor", "times", "matrix", "product" ]
fe517e9661a08164b8d30d2dddf7c96aeeabcf36
https://github.com/mnick/scikit-tensor/blob/fe517e9661a08164b8d30d2dddf7c96aeeabcf36/sktensor/core.py#L50-L103
15,039
callowayproject/django-categories
categories/registration.py
_process_registry
def _process_registry(registry, call_func): """ Given a dictionary, and a registration function, process the registry """ from django.core.exceptions import ImproperlyConfigured from django.apps import apps for key, value in list(registry.items()): model = apps.get_model(*key.split('.')...
python
def _process_registry(registry, call_func): """ Given a dictionary, and a registration function, process the registry """ from django.core.exceptions import ImproperlyConfigured from django.apps import apps for key, value in list(registry.items()): model = apps.get_model(*key.split('.')...
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Given a dictionary, and a registration function, process the registry
[ "Given", "a", "dictionary", "and", "a", "registration", "function", "process", "the", "registry" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/registration.py#L118-L146
15,040
callowayproject/django-categories
categories/migration.py
field_exists
def field_exists(app_name, model_name, field_name): """ Does the FK or M2M table exist in the database already? """ model = apps.get_model(app_name, model_name) table_name = model._meta.db_table cursor = connection.cursor() field_info = connection.introspection.get_table_description(cursor, ...
python
def field_exists(app_name, model_name, field_name): """ Does the FK or M2M table exist in the database already? """ model = apps.get_model(app_name, model_name) table_name = model._meta.db_table cursor = connection.cursor() field_info = connection.introspection.get_table_description(cursor, ...
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Does the FK or M2M table exist in the database already?
[ "Does", "the", "FK", "or", "M2M", "table", "exist", "in", "the", "database", "already?" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/migration.py#L16-L25
15,041
callowayproject/django-categories
categories/migration.py
drop_field
def drop_field(app_name, model_name, field_name): """ Drop the given field from the app's model """ app_config = apps.get_app_config(app_name) model = app_config.get_model(model_name) field = model._meta.get_field(field_name) with connection.schema_editor() as schema_editor: schema_e...
python
def drop_field(app_name, model_name, field_name): """ Drop the given field from the app's model """ app_config = apps.get_app_config(app_name) model = app_config.get_model(model_name) field = model._meta.get_field(field_name) with connection.schema_editor() as schema_editor: schema_e...
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Drop the given field from the app's model
[ "Drop", "the", "given", "field", "from", "the", "app", "s", "model" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/migration.py#L28-L36
15,042
callowayproject/django-categories
categories/migration.py
migrate_app
def migrate_app(sender, *args, **kwargs): """ Migrate all models of this app registered """ from .registration import registry if 'app_config' not in kwargs: return app_config = kwargs['app_config'] app_name = app_config.label fields = [fld for fld in list(registry._field_regis...
python
def migrate_app(sender, *args, **kwargs): """ Migrate all models of this app registered """ from .registration import registry if 'app_config' not in kwargs: return app_config = kwargs['app_config'] app_name = app_config.label fields = [fld for fld in list(registry._field_regis...
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Migrate all models of this app registered
[ "Migrate", "all", "models", "of", "this", "app", "registered" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/migration.py#L39-L66
15,043
callowayproject/django-categories
categories/models.py
Category.get_absolute_url
def get_absolute_url(self): """Return a path""" from django.urls import NoReverseMatch if self.alternate_url: return self.alternate_url try: prefix = reverse('categories_tree_list') except NoReverseMatch: prefix = '/' ancestors = list(...
python
def get_absolute_url(self): """Return a path""" from django.urls import NoReverseMatch if self.alternate_url: return self.alternate_url try: prefix = reverse('categories_tree_list') except NoReverseMatch: prefix = '/' ancestors = list(...
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Return a path
[ "Return", "a", "path" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/models.py#L56-L67
15,044
callowayproject/django-categories
categories/models.py
CategoryRelationManager.get_content_type
def get_content_type(self, content_type): """ Get all the items of the given content type related to this item. """ qs = self.get_queryset() return qs.filter(content_type__name=content_type)
python
def get_content_type(self, content_type): """ Get all the items of the given content type related to this item. """ qs = self.get_queryset() return qs.filter(content_type__name=content_type)
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Get all the items of the given content type related to this item.
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3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/models.py#L109-L114
15,045
callowayproject/django-categories
categories/models.py
CategoryRelationManager.get_relation_type
def get_relation_type(self, relation_type): """ Get all the items of the given relationship type related to this item. """ qs = self.get_queryset() return qs.filter(relation_type=relation_type)
python
def get_relation_type(self, relation_type): """ Get all the items of the given relationship type related to this item. """ qs = self.get_queryset() return qs.filter(relation_type=relation_type)
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Get all the items of the given relationship type related to this item.
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3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/models.py#L116-L121
15,046
callowayproject/django-categories
categories/apps.py
handle_class_prepared
def handle_class_prepared(sender, **kwargs): """ See if this class needs registering of fields """ from .settings import M2M_REGISTRY, FK_REGISTRY from .registration import registry sender_app = sender._meta.app_label sender_name = sender._meta.model_name for key, val in list(FK_REGISTR...
python
def handle_class_prepared(sender, **kwargs): """ See if this class needs registering of fields """ from .settings import M2M_REGISTRY, FK_REGISTRY from .registration import registry sender_app = sender._meta.app_label sender_name = sender._meta.model_name for key, val in list(FK_REGISTR...
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See if this class needs registering of fields
[ "See", "if", "this", "class", "needs", "registering", "of", "fields" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/apps.py#L20-L37
15,047
callowayproject/django-categories
categories/editor/tree_editor.py
TreeEditor.get_queryset
def get_queryset(self, request): """ Returns a QuerySet of all model instances that can be edited by the admin site. This is used by changelist_view. """ qs = self.model._default_manager.get_queryset() qs.__class__ = TreeEditorQuerySet return qs
python
def get_queryset(self, request): """ Returns a QuerySet of all model instances that can be edited by the admin site. This is used by changelist_view. """ qs = self.model._default_manager.get_queryset() qs.__class__ = TreeEditorQuerySet return qs
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Returns a QuerySet of all model instances that can be edited by the admin site. This is used by changelist_view.
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3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/editor/tree_editor.py#L283-L290
15,048
callowayproject/django-categories
categories/base.py
CategoryBaseAdmin.deactivate
def deactivate(self, request, queryset): """ Set active to False for selected items """ selected_cats = self.model.objects.filter( pk__in=[int(x) for x in request.POST.getlist('_selected_action')]) for item in selected_cats: if item.active: ...
python
def deactivate(self, request, queryset): """ Set active to False for selected items """ selected_cats = self.model.objects.filter( pk__in=[int(x) for x in request.POST.getlist('_selected_action')]) for item in selected_cats: if item.active: ...
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Set active to False for selected items
[ "Set", "active", "to", "False", "for", "selected", "items" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/base.py#L144-L155
15,049
callowayproject/django-categories
categories/management/commands/import_categories.py
Command.get_indent
def get_indent(self, string): """ Look through the string and count the spaces """ indent_amt = 0 if string[0] == '\t': return '\t' for char in string: if char == ' ': indent_amt += 1 else: return ' ' * ...
python
def get_indent(self, string): """ Look through the string and count the spaces """ indent_amt = 0 if string[0] == '\t': return '\t' for char in string: if char == ' ': indent_amt += 1 else: return ' ' * ...
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Look through the string and count the spaces
[ "Look", "through", "the", "string", "and", "count", "the", "spaces" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/management/commands/import_categories.py#L16-L28
15,050
callowayproject/django-categories
categories/management/commands/import_categories.py
Command.make_category
def make_category(self, string, parent=None, order=1): """ Make and save a category object from a string """ cat = Category( name=string.strip(), slug=slugify(SLUG_TRANSLITERATOR(string.strip()))[:49], # arent=parent, order=order ) ...
python
def make_category(self, string, parent=None, order=1): """ Make and save a category object from a string """ cat = Category( name=string.strip(), slug=slugify(SLUG_TRANSLITERATOR(string.strip()))[:49], # arent=parent, order=order ) ...
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Make and save a category object from a string
[ "Make", "and", "save", "a", "category", "object", "from", "a", "string" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/management/commands/import_categories.py#L31-L46
15,051
callowayproject/django-categories
categories/management/commands/import_categories.py
Command.parse_lines
def parse_lines(self, lines): """ Do the work of parsing each line """ indent = '' level = 0 if lines[0][0] == ' ' or lines[0][0] == '\t': raise CommandError("The first line in the file cannot start with a space or tab.") # This keeps track of the cu...
python
def parse_lines(self, lines): """ Do the work of parsing each line """ indent = '' level = 0 if lines[0][0] == ' ' or lines[0][0] == '\t': raise CommandError("The first line in the file cannot start with a space or tab.") # This keeps track of the cu...
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Do the work of parsing each line
[ "Do", "the", "work", "of", "parsing", "each", "line" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/management/commands/import_categories.py#L48-L74
15,052
callowayproject/django-categories
categories/management/commands/import_categories.py
Command.handle
def handle(self, *file_paths, **options): """ Handle the basic import """ import os for file_path in file_paths: if not os.path.isfile(file_path): print("File %s not found." % file_path) continue f = open(file_path, 'r') ...
python
def handle(self, *file_paths, **options): """ Handle the basic import """ import os for file_path in file_paths: if not os.path.isfile(file_path): print("File %s not found." % file_path) continue f = open(file_path, 'r') ...
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Handle the basic import
[ "Handle", "the", "basic", "import" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/management/commands/import_categories.py#L76-L90
15,053
callowayproject/django-categories
categories/templatetags/category_tags.py
get_cat_model
def get_cat_model(model): """ Return a class from a string or class """ try: if isinstance(model, string_types): model_class = apps.get_model(*model.split(".")) elif issubclass(model, CategoryBase): model_class = model if model_class is None: r...
python
def get_cat_model(model): """ Return a class from a string or class """ try: if isinstance(model, string_types): model_class = apps.get_model(*model.split(".")) elif issubclass(model, CategoryBase): model_class = model if model_class is None: r...
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Return a class from a string or class
[ "Return", "a", "class", "from", "a", "string", "or", "class" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/templatetags/category_tags.py#L29-L42
15,054
callowayproject/django-categories
categories/templatetags/category_tags.py
get_category
def get_category(category_string, model=Category): """ Convert a string, including a path, and return the Category object """ model_class = get_cat_model(model) category = str(category_string).strip("'\"") category = category.strip('/') cat_list = category.split('/') if len(cat_list) ==...
python
def get_category(category_string, model=Category): """ Convert a string, including a path, and return the Category object """ model_class = get_cat_model(model) category = str(category_string).strip("'\"") category = category.strip('/') cat_list = category.split('/') if len(cat_list) ==...
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Convert a string, including a path, and return the Category object
[ "Convert", "a", "string", "including", "a", "path", "and", "return", "the", "Category", "object" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/templatetags/category_tags.py#L45-L69
15,055
callowayproject/django-categories
categories/templatetags/category_tags.py
get_category_drilldown
def get_category_drilldown(parser, token): """ Retrieves the specified category, its ancestors and its immediate children as an iterable. Syntax:: {% get_category_drilldown "category name" [using "app.Model"] as varname %} Example:: {% get_category_drilldown "/Grandparent/Parent"...
python
def get_category_drilldown(parser, token): """ Retrieves the specified category, its ancestors and its immediate children as an iterable. Syntax:: {% get_category_drilldown "category name" [using "app.Model"] as varname %} Example:: {% get_category_drilldown "/Grandparent/Parent"...
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Retrieves the specified category, its ancestors and its immediate children as an iterable. Syntax:: {% get_category_drilldown "category name" [using "app.Model"] as varname %} Example:: {% get_category_drilldown "/Grandparent/Parent" [using "app.Model"] as family %} or :: {...
[ "Retrieves", "the", "specified", "category", "its", "ancestors", "and", "its", "immediate", "children", "as", "an", "iterable", "." ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/templatetags/category_tags.py#L95-L136
15,056
callowayproject/django-categories
categories/templatetags/category_tags.py
get_top_level_categories
def get_top_level_categories(parser, token): """ Retrieves an alphabetical list of all the categories that have no parents. Syntax:: {% get_top_level_categories [using "app.Model"] as categories %} Returns an list of categories [<category>, <category>, <category, ...] """ bits = token...
python
def get_top_level_categories(parser, token): """ Retrieves an alphabetical list of all the categories that have no parents. Syntax:: {% get_top_level_categories [using "app.Model"] as categories %} Returns an list of categories [<category>, <category>, <category, ...] """ bits = token...
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Retrieves an alphabetical list of all the categories that have no parents. Syntax:: {% get_top_level_categories [using "app.Model"] as categories %} Returns an list of categories [<category>, <category>, <category, ...]
[ "Retrieves", "an", "alphabetical", "list", "of", "all", "the", "categories", "that", "have", "no", "parents", "." ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/templatetags/category_tags.py#L237-L264
15,057
callowayproject/django-categories
categories/templatetags/category_tags.py
tree_queryset
def tree_queryset(value): """ Converts a normal queryset from an MPTT model to include all the ancestors so a filtered subset of items can be formatted correctly """ from django.db.models.query import QuerySet from copy import deepcopy if not isinstance(value, QuerySet): return value...
python
def tree_queryset(value): """ Converts a normal queryset from an MPTT model to include all the ancestors so a filtered subset of items can be formatted correctly """ from django.db.models.query import QuerySet from copy import deepcopy if not isinstance(value, QuerySet): return value...
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Converts a normal queryset from an MPTT model to include all the ancestors so a filtered subset of items can be formatted correctly
[ "Converts", "a", "normal", "queryset", "from", "an", "MPTT", "model", "to", "include", "all", "the", "ancestors", "so", "a", "filtered", "subset", "of", "items", "can", "be", "formatted", "correctly" ]
3765851320a79b12c6d3306f3784a2302ea64812
https://github.com/callowayproject/django-categories/blob/3765851320a79b12c6d3306f3784a2302ea64812/categories/templatetags/category_tags.py#L346-L377
15,058
maweigert/gputools
gputools/convolve/convolve.py
convolve
def convolve(data, h, res_g=None, sub_blocks=None): """ convolves 1d-3d data with kernel h data and h can either be numpy arrays or gpu buffer objects (OCLArray, which must be float32 then) boundary conditions are clamping to zero at edge. """ if not len(data.shape) in [1, 2, 3]: ...
python
def convolve(data, h, res_g=None, sub_blocks=None): """ convolves 1d-3d data with kernel h data and h can either be numpy arrays or gpu buffer objects (OCLArray, which must be float32 then) boundary conditions are clamping to zero at edge. """ if not len(data.shape) in [1, 2, 3]: ...
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convolves 1d-3d data with kernel h data and h can either be numpy arrays or gpu buffer objects (OCLArray, which must be float32 then) boundary conditions are clamping to zero at edge.
[ "convolves", "1d", "-", "3d", "data", "with", "kernel", "h" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/convolve.py#L18-L54
15,059
maweigert/gputools
gputools/convolve/convolve.py
_convolve3_old
def _convolve3_old(data, h, dev=None): """convolves 3d data with kernel h on the GPU Device dev boundary conditions are clamping to edge. h is converted to float32 if dev == None the default one is used """ if dev is None: dev = get_device() if dev is None: raise ValueErro...
python
def _convolve3_old(data, h, dev=None): """convolves 3d data with kernel h on the GPU Device dev boundary conditions are clamping to edge. h is converted to float32 if dev == None the default one is used """ if dev is None: dev = get_device() if dev is None: raise ValueErro...
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convolves 3d data with kernel h on the GPU Device dev boundary conditions are clamping to edge. h is converted to float32 if dev == None the default one is used
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/convolve.py#L116-L151
15,060
maweigert/gputools
gputools/transforms/scale.py
_scale_shape
def _scale_shape(dshape, scale = (1,1,1)): """returns the shape after scaling (should be the same as ndimage.zoom""" nshape = np.round(np.array(dshape) * np.array(scale)) return tuple(nshape.astype(np.int))
python
def _scale_shape(dshape, scale = (1,1,1)): """returns the shape after scaling (should be the same as ndimage.zoom""" nshape = np.round(np.array(dshape) * np.array(scale)) return tuple(nshape.astype(np.int))
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returns the shape after scaling (should be the same as ndimage.zoom
[ "returns", "the", "shape", "after", "scaling", "(", "should", "be", "the", "same", "as", "ndimage", ".", "zoom" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/transforms/scale.py#L17-L20
15,061
maweigert/gputools
gputools/fft/fftshift.py
fftshift
def fftshift(arr_obj, axes = None, res_g = None, return_buffer = False): """ gpu version of fftshift for numpy arrays or OCLArrays Parameters ---------- arr_obj: numpy array or OCLArray (float32/complex64) the array to be fftshifted axes: list or None the axes over which to shif...
python
def fftshift(arr_obj, axes = None, res_g = None, return_buffer = False): """ gpu version of fftshift for numpy arrays or OCLArrays Parameters ---------- arr_obj: numpy array or OCLArray (float32/complex64) the array to be fftshifted axes: list or None the axes over which to shif...
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gpu version of fftshift for numpy arrays or OCLArrays Parameters ---------- arr_obj: numpy array or OCLArray (float32/complex64) the array to be fftshifted axes: list or None the axes over which to shift (like np.fft.fftshift) if None, all axes are taken res_g: if gi...
[ "gpu", "version", "of", "fftshift", "for", "numpy", "arrays", "or", "OCLArrays" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/fft/fftshift.py#L27-L80
15,062
maweigert/gputools
gputools/fft/fftshift.py
_fftshift_single
def _fftshift_single(d_g, res_g, ax = 0): """ basic fftshift of an OCLArray shape(d_g) = [N_0,N_1...., N, .... N_{k-1, N_k] = [N1, N, N2] the we can address each element in the flat buffer by index = i + N2*j + N2*N*k where i = 1 .. N2 j = 1 .. N k = 1 .. N1 ...
python
def _fftshift_single(d_g, res_g, ax = 0): """ basic fftshift of an OCLArray shape(d_g) = [N_0,N_1...., N, .... N_{k-1, N_k] = [N1, N, N2] the we can address each element in the flat buffer by index = i + N2*j + N2*N*k where i = 1 .. N2 j = 1 .. N k = 1 .. N1 ...
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basic fftshift of an OCLArray shape(d_g) = [N_0,N_1...., N, .... N_{k-1, N_k] = [N1, N, N2] the we can address each element in the flat buffer by index = i + N2*j + N2*N*k where i = 1 .. N2 j = 1 .. N k = 1 .. N1 and the swap of elements is performed on the inde...
[ "basic", "fftshift", "of", "an", "OCLArray" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/fft/fftshift.py#L83-L119
15,063
maweigert/gputools
gputools/fft/oclfft_convolve.py
fft_convolve
def fft_convolve(data, h, res_g = None, plan = None, inplace = False, kernel_is_fft = False, kernel_is_fftshifted = False): """ convolves data with kernel h via FFTs data should be either a numpy array or a OCLArray (see doc for fft) both data an...
python
def fft_convolve(data, h, res_g = None, plan = None, inplace = False, kernel_is_fft = False, kernel_is_fftshifted = False): """ convolves data with kernel h via FFTs data should be either a numpy array or a OCLArray (see doc for fft) both data an...
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convolves data with kernel h via FFTs data should be either a numpy array or a OCLArray (see doc for fft) both data and h should be same shape if data/h are OCLArrays, then: - type should be complex64 - shape should be equal and power of two - h is assumed to be already fftshi...
[ "convolves", "data", "with", "kernel", "h", "via", "FFTs" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/fft/oclfft_convolve.py#L15-L45
15,064
maweigert/gputools
gputools/fft/oclfft_convolve.py
_fft_convolve_numpy
def _fft_convolve_numpy(data, h, plan = None, kernel_is_fft = False, kernel_is_fftshifted = False): """ convolving via opencl fft for numpy arrays data and h must have the same size """ if data.shape != h.shape: raise ValueError("data and kernel ...
python
def _fft_convolve_numpy(data, h, plan = None, kernel_is_fft = False, kernel_is_fftshifted = False): """ convolving via opencl fft for numpy arrays data and h must have the same size """ if data.shape != h.shape: raise ValueError("data and kernel ...
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convolving via opencl fft for numpy arrays data and h must have the same size
[ "convolving", "via", "opencl", "fft", "for", "numpy", "arrays" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/fft/oclfft_convolve.py#L49-L80
15,065
maweigert/gputools
gputools/fft/oclfft_convolve.py
_fft_convolve_gpu
def _fft_convolve_gpu(data_g, h_g, res_g = None, plan = None, inplace = False, kernel_is_fft = False): """ fft convolve for gpu buffer """ assert_bufs_type(np.complex64,data_g,h_g) if data_g.shape != h_g.shape: raise ValueError("data and kernel mu...
python
def _fft_convolve_gpu(data_g, h_g, res_g = None, plan = None, inplace = False, kernel_is_fft = False): """ fft convolve for gpu buffer """ assert_bufs_type(np.complex64,data_g,h_g) if data_g.shape != h_g.shape: raise ValueError("data and kernel mu...
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fft convolve for gpu buffer
[ "fft", "convolve", "for", "gpu", "buffer" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/fft/oclfft_convolve.py#L83-L124
15,066
maweigert/gputools
gputools/convolve/median_filter.py
median_filter
def median_filter(data, size=3, cval = 0, res_g=None, sub_blocks=None): """ median filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider cval: scalar, ...
python
def median_filter(data, size=3, cval = 0, res_g=None, sub_blocks=None): """ median filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider cval: scalar, ...
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median filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider cval: scalar, the constant value for out of border access (cf mode = "constant") res_g: O...
[ "median", "filter", "of", "given", "size" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/median_filter.py#L112-L141
15,067
maweigert/gputools
gputools/transforms/transformations.py
rotate
def rotate(data, axis=(1., 0, 0), angle=0., center=None, mode="constant", interpolation="linear"): """ rotates data around axis by a given angle Parameters ---------- data: ndarray 3d array axis: tuple axis to rotate by angle about axis = (x,y,z) angle: float cen...
python
def rotate(data, axis=(1., 0, 0), angle=0., center=None, mode="constant", interpolation="linear"): """ rotates data around axis by a given angle Parameters ---------- data: ndarray 3d array axis: tuple axis to rotate by angle about axis = (x,y,z) angle: float cen...
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rotates data around axis by a given angle Parameters ---------- data: ndarray 3d array axis: tuple axis to rotate by angle about axis = (x,y,z) angle: float center: tuple or None origin of rotation (cz,cy,cx) in pixels if None, center is the middle of dat...
[ "rotates", "data", "around", "axis", "by", "a", "given", "angle" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/transforms/transformations.py#L128-L171
15,068
maweigert/gputools
gputools/transforms/transformations.py
map_coordinates
def map_coordinates(data, coordinates, interpolation="linear", mode='constant'): """ Map data to new coordinates by interpolation. The array of coordinates is used to find, for each point in the output, the corresponding coordinates in the input. should correspond to scipy.ndima...
python
def map_coordinates(data, coordinates, interpolation="linear", mode='constant'): """ Map data to new coordinates by interpolation. The array of coordinates is used to find, for each point in the output, the corresponding coordinates in the input. should correspond to scipy.ndima...
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Map data to new coordinates by interpolation. The array of coordinates is used to find, for each point in the output, the corresponding coordinates in the input. should correspond to scipy.ndimage.map_coordinates Parameters ---------- data coordinates output interpolation m...
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/transforms/transformations.py#L174-L237
15,069
maweigert/gputools
gputools/utils/utils.py
pad_to_shape
def pad_to_shape(d, dshape, mode = "constant"): """ pad array d to shape dshape """ if d.shape == dshape: return d diff = np.array(dshape)- np.array(d.shape) #first shrink slices = tuple(slice(-x//2,x//2) if x<0 else slice(None,None) for x in diff) res = d[slices] #then pad...
python
def pad_to_shape(d, dshape, mode = "constant"): """ pad array d to shape dshape """ if d.shape == dshape: return d diff = np.array(dshape)- np.array(d.shape) #first shrink slices = tuple(slice(-x//2,x//2) if x<0 else slice(None,None) for x in diff) res = d[slices] #then pad...
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pad array d to shape dshape
[ "pad", "array", "d", "to", "shape", "dshape" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/utils/utils.py#L4-L17
15,070
maweigert/gputools
gputools/utils/utils.py
pad_to_power2
def pad_to_power2(data, axis = None, mode="constant"): """ pad data to a shape of power 2 if axis == None all axis are padded """ if axis is None: axis = list(range(data.ndim)) if np.all([_is_power2(n) for i, n in enumerate(data.shape) if i in axis]): return data else: ...
python
def pad_to_power2(data, axis = None, mode="constant"): """ pad data to a shape of power 2 if axis == None all axis are padded """ if axis is None: axis = list(range(data.ndim)) if np.all([_is_power2(n) for i, n in enumerate(data.shape) if i in axis]): return data else: ...
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pad data to a shape of power 2 if axis == None all axis are padded
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/utils/utils.py#L27-L38
15,071
maweigert/gputools
gputools/convolve/generic_separable_filters.py
max_filter
def max_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)): """ maximum filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray st...
python
def max_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)): """ maximum filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray st...
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maximum filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray store result in buffer if given sub_blocks: perform over subblock tili...
[ "maximum", "filter", "of", "given", "size" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/generic_separable_filters.py#L115-L139
15,072
maweigert/gputools
gputools/convolve/generic_separable_filters.py
min_filter
def min_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)): """ minimum filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray st...
python
def min_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)): """ minimum filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray st...
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minimum filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray store result in buffer if given sub_blocks: perform over subblock tili...
[ "minimum", "filter", "of", "given", "size" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/generic_separable_filters.py#L142-L167
15,073
maweigert/gputools
gputools/convolve/generic_separable_filters.py
uniform_filter
def uniform_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1), normalized = True): """ mean filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g:...
python
def uniform_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1), normalized = True): """ mean filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g:...
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mean filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray store result in buffer if given sub_blocks: perform over subblock tiling ...
[ "mean", "filter", "of", "given", "size" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/generic_separable_filters.py#L171-L210
15,074
maweigert/gputools
gputools/convolve/generic_separable_filters.py
_gauss_filter
def _gauss_filter(data, sigma=4, res_g=None, sub_blocks=(1, 1, 1)): """ gaussian filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray ...
python
def _gauss_filter(data, sigma=4, res_g=None, sub_blocks=(1, 1, 1)): """ gaussian filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray ...
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gaussian filter of given size Parameters ---------- data: 2 or 3 dimensional ndarray or OCLArray of type float32 input data size: scalar, tuple the size of the patch to consider res_g: OCLArray store result in buffer if given sub_blocks: perform over subblock til...
[ "gaussian", "filter", "of", "given", "size" ]
6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/convolve/generic_separable_filters.py#L216-L248
15,075
maweigert/gputools
gputools/separable/separable_approx.py
_separable_series2
def _separable_series2(h, N=1): """ finds separable approximations to the 2d function 2d h returns res = (hx, hy)[N] s.t. h \approx sum_i outer(res[i,0],res[i,1]) """ if min(h.shape)<N: raise ValueError("smallest dimension of h is smaller than approximation order! (%s < %s)"%(min(h.shape),N...
python
def _separable_series2(h, N=1): """ finds separable approximations to the 2d function 2d h returns res = (hx, hy)[N] s.t. h \approx sum_i outer(res[i,0],res[i,1]) """ if min(h.shape)<N: raise ValueError("smallest dimension of h is smaller than approximation order! (%s < %s)"%(min(h.shape),N...
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finds separable approximations to the 2d function 2d h returns res = (hx, hy)[N] s.t. h \approx sum_i outer(res[i,0],res[i,1])
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/separable/separable_approx.py#L16-L29
15,076
maweigert/gputools
gputools/separable/separable_approx.py
_separable_approx2
def _separable_approx2(h, N=1): """ returns the N first approximations to the 2d function h whose sum should be h """ return np.cumsum([np.outer(fy, fx) for fy, fx in _separable_series2(h, N)], 0)
python
def _separable_approx2(h, N=1): """ returns the N first approximations to the 2d function h whose sum should be h """ return np.cumsum([np.outer(fy, fx) for fy, fx in _separable_series2(h, N)], 0)
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returns the N first approximations to the 2d function h whose sum should be h
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/separable/separable_approx.py#L32-L36
15,077
maweigert/gputools
gputools/separable/separable_approx.py
_separable_approx3
def _separable_approx3(h, N=1): """ returns the N first approximations to the 3d function h """ return np.cumsum([np.einsum("i,j,k", fz, fy, fx) for fz, fy, fx in _separable_series3(h, N)], 0)
python
def _separable_approx3(h, N=1): """ returns the N first approximations to the 3d function h """ return np.cumsum([np.einsum("i,j,k", fz, fy, fx) for fz, fy, fx in _separable_series3(h, N)], 0)
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returns the N first approximations to the 3d function h
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/separable/separable_approx.py#L85-L88
15,078
maweigert/gputools
gputools/separable/separable_approx.py
separable_approx
def separable_approx(h, N=1): """ finds the k-th rank approximation to h, where k = 1..N similar to separable_series Parameters ---------- h: ndarray input array (2 or 2 dimensional) N: int order of approximation Returns ------- all N apprxoimations res[i],...
python
def separable_approx(h, N=1): """ finds the k-th rank approximation to h, where k = 1..N similar to separable_series Parameters ---------- h: ndarray input array (2 or 2 dimensional) N: int order of approximation Returns ------- all N apprxoimations res[i],...
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finds the k-th rank approximation to h, where k = 1..N similar to separable_series Parameters ---------- h: ndarray input array (2 or 2 dimensional) N: int order of approximation Returns ------- all N apprxoimations res[i], the i-th approximation
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6ab26efeb05dceef74cf13aadeeeb9b009b529dd
https://github.com/maweigert/gputools/blob/6ab26efeb05dceef74cf13aadeeeb9b009b529dd/gputools/separable/separable_approx.py#L127-L150
15,079
alculquicondor/psqlparse
psqlparse/nodes/nodes.py
Node.tables
def tables(self): """ Generic method that does a depth-first search on the node attributes. Child classes should override this method for better performance. """ _tables = set() for attr in six.itervalues(self.__dict__): if isinstance(attr, list): ...
python
def tables(self): """ Generic method that does a depth-first search on the node attributes. Child classes should override this method for better performance. """ _tables = set() for attr in six.itervalues(self.__dict__): if isinstance(attr, list): ...
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Generic method that does a depth-first search on the node attributes. Child classes should override this method for better performance.
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9c2af04f45ddc4068d7fd87580612457d374e97d
https://github.com/alculquicondor/psqlparse/blob/9c2af04f45ddc4068d7fd87580612457d374e97d/psqlparse/nodes/nodes.py#L6-L22
15,080
sloria/konch
docopt.py
Pattern.fix_identities
def fix_identities(self, uniq=None): """Make pattern-tree tips point to same object if they are equal.""" if not hasattr(self, 'children'): return self uniq = list(set(self.flat())) if uniq is None else uniq for i, child in enumerate(self.children): if not hasattr...
python
def fix_identities(self, uniq=None): """Make pattern-tree tips point to same object if they are equal.""" if not hasattr(self, 'children'): return self uniq = list(set(self.flat())) if uniq is None else uniq for i, child in enumerate(self.children): if not hasattr...
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Make pattern-tree tips point to same object if they are equal.
[ "Make", "pattern", "-", "tree", "tips", "point", "to", "same", "object", "if", "they", "are", "equal", "." ]
15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/docopt.py#L46-L56
15,081
sloria/konch
setup.py
find_version
def find_version(fname): """Attempts to find the version number in the file names fname. Raises RuntimeError if not found. """ version = "" with open(fname, "r") as fp: reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]') for line in fp: m = reg.match(line) ...
python
def find_version(fname): """Attempts to find the version number in the file names fname. Raises RuntimeError if not found. """ version = "" with open(fname, "r") as fp: reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]') for line in fp: m = reg.match(line) ...
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Attempts to find the version number in the file names fname. Raises RuntimeError if not found.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/setup.py#L46-L60
15,082
sloria/konch
konch.py
format_context
def format_context( context: Context, formatter: typing.Union[str, Formatter] = "full" ) -> str: """Output the a context dictionary as a string.""" if not context: return "" if callable(formatter): formatter_func = formatter else: if formatter in CONTEXT_FORMATTERS: ...
python
def format_context( context: Context, formatter: typing.Union[str, Formatter] = "full" ) -> str: """Output the a context dictionary as a string.""" if not context: return "" if callable(formatter): formatter_func = formatter else: if formatter in CONTEXT_FORMATTERS: ...
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Output the a context dictionary as a string.
[ "Output", "the", "a", "context", "dictionary", "as", "a", "string", "." ]
15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L245-L259
15,083
sloria/konch
konch.py
make_banner
def make_banner( text: typing.Optional[str] = None, context: typing.Optional[Context] = None, banner_template: typing.Optional[str] = None, context_format: ContextFormat = "full", ) -> str: """Generates a full banner with version info, the given text, and a formatted list of context variables. ...
python
def make_banner( text: typing.Optional[str] = None, context: typing.Optional[Context] = None, banner_template: typing.Optional[str] = None, context_format: ContextFormat = "full", ) -> str: """Generates a full banner with version info, the given text, and a formatted list of context variables. ...
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Generates a full banner with version info, the given text, and a formatted list of context variables.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L269-L282
15,084
sloria/konch
konch.py
config
def config(config_dict: typing.Mapping) -> Config: """Configures the konch shell. This function should be called in a .konchrc file. :param dict config_dict: Dict that may contain 'context', 'banner', and/or 'shell' (default shell class to use). """ logger.debug(f"Updating with {config_dict...
python
def config(config_dict: typing.Mapping) -> Config: """Configures the konch shell. This function should be called in a .konchrc file. :param dict config_dict: Dict that may contain 'context', 'banner', and/or 'shell' (default shell class to use). """ logger.debug(f"Updating with {config_dict...
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Configures the konch shell. This function should be called in a .konchrc file. :param dict config_dict: Dict that may contain 'context', 'banner', and/or 'shell' (default shell class to use).
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L828-L837
15,085
sloria/konch
konch.py
named_config
def named_config(name: str, config_dict: typing.Mapping) -> None: """Adds a named config to the config registry. The first argument may either be a string or a collection of strings. This function should be called in a .konchrc file. """ names = ( name if isinstance(name, Iterable) ...
python
def named_config(name: str, config_dict: typing.Mapping) -> None: """Adds a named config to the config registry. The first argument may either be a string or a collection of strings. This function should be called in a .konchrc file. """ names = ( name if isinstance(name, Iterable) ...
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Adds a named config to the config registry. The first argument may either be a string or a collection of strings. This function should be called in a .konchrc file.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L840-L852
15,086
sloria/konch
konch.py
__ensure_directory_in_path
def __ensure_directory_in_path(filename: Path) -> None: """Ensures that a file's directory is in the Python path. """ directory = Path(filename).parent.resolve() if directory not in sys.path: logger.debug(f"Adding {directory} to sys.path") sys.path.insert(0, str(directory))
python
def __ensure_directory_in_path(filename: Path) -> None: """Ensures that a file's directory is in the Python path. """ directory = Path(filename).parent.resolve() if directory not in sys.path: logger.debug(f"Adding {directory} to sys.path") sys.path.insert(0, str(directory))
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Ensures that a file's directory is in the Python path.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L861-L867
15,087
sloria/konch
konch.py
use_file
def use_file( filename: typing.Union[Path, str, None], trust: bool = False ) -> typing.Union[types.ModuleType, None]: """Load filename as a python file. Import ``filename`` and return it as a module. """ config_file = filename or resolve_path(CONFIG_FILE) def preview_unauthorized() -> None: ...
python
def use_file( filename: typing.Union[Path, str, None], trust: bool = False ) -> typing.Union[types.ModuleType, None]: """Load filename as a python file. Import ``filename`` and return it as a module. """ config_file = filename or resolve_path(CONFIG_FILE) def preview_unauthorized() -> None: ...
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Load filename as a python file. Import ``filename`` and return it as a module.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L898-L954
15,088
sloria/konch
konch.py
resolve_path
def resolve_path(filename: Path) -> typing.Union[Path, None]: """Find a file by walking up parent directories until the file is found. Return the absolute path of the file. """ current = Path.cwd() # Stop search at home directory sentinel_dir = Path.home().parent.resolve() while current != s...
python
def resolve_path(filename: Path) -> typing.Union[Path, None]: """Find a file by walking up parent directories until the file is found. Return the absolute path of the file. """ current = Path.cwd() # Stop search at home directory sentinel_dir = Path.home().parent.resolve() while current != s...
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Find a file by walking up parent directories until the file is found. Return the absolute path of the file.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L957-L971
15,089
sloria/konch
konch.py
parse_args
def parse_args(argv: typing.Optional[typing.Sequence] = None) -> typing.Dict[str, str]: """Exposes the docopt command-line arguments parser. Return a dictionary of arguments. """ return docopt(__doc__, argv=argv, version=__version__)
python
def parse_args(argv: typing.Optional[typing.Sequence] = None) -> typing.Dict[str, str]: """Exposes the docopt command-line arguments parser. Return a dictionary of arguments. """ return docopt(__doc__, argv=argv, version=__version__)
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Exposes the docopt command-line arguments parser. Return a dictionary of arguments.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L1132-L1136
15,090
sloria/konch
konch.py
main
def main(argv: typing.Optional[typing.Sequence] = None) -> typing.NoReturn: """Main entry point for the konch CLI.""" args = parse_args(argv) if args["--debug"]: logging.basicConfig( format="%(levelname)s %(filename)s: %(message)s", level=logging.DEBUG ) logger.debug(args) ...
python
def main(argv: typing.Optional[typing.Sequence] = None) -> typing.NoReturn: """Main entry point for the konch CLI.""" args = parse_args(argv) if args["--debug"]: logging.basicConfig( format="%(levelname)s %(filename)s: %(message)s", level=logging.DEBUG ) logger.debug(args) ...
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Main entry point for the konch CLI.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L1139-L1184
15,091
sloria/konch
konch.py
IPythonShell.init_autoreload
def init_autoreload(mode: int) -> None: """Load and initialize the IPython autoreload extension.""" from IPython.extensions import autoreload ip = get_ipython() # type: ignore # noqa: F821 autoreload.load_ipython_extension(ip) ip.magics_manager.magics["line"]["autoreload"](str(...
python
def init_autoreload(mode: int) -> None: """Load and initialize the IPython autoreload extension.""" from IPython.extensions import autoreload ip = get_ipython() # type: ignore # noqa: F821 autoreload.load_ipython_extension(ip) ip.magics_manager.magics["line"]["autoreload"](str(...
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Load and initialize the IPython autoreload extension.
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15160bd0a0cac967eeeab84794bd6cdd0b5b637d
https://github.com/sloria/konch/blob/15160bd0a0cac967eeeab84794bd6cdd0b5b637d/konch.py#L427-L433
15,092
JamesPHoughton/pysd
pysd/py_backend/vensim/table2py.py
read_tabular
def read_tabular(table_file, sheetname='Sheet1'): """ Reads a vensim syntax model which has been formatted as a table. This is useful in contexts where model building is performed without the aid of Vensim. Parameters ---------- table_file: .csv, .tab or .xls(x) file Table should have...
python
def read_tabular(table_file, sheetname='Sheet1'): """ Reads a vensim syntax model which has been formatted as a table. This is useful in contexts where model building is performed without the aid of Vensim. Parameters ---------- table_file: .csv, .tab or .xls(x) file Table should have...
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Reads a vensim syntax model which has been formatted as a table. This is useful in contexts where model building is performed without the aid of Vensim. Parameters ---------- table_file: .csv, .tab or .xls(x) file Table should have columns titled as in the table below | Variable | Equat...
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/py_backend/vensim/table2py.py#L6-L80
15,093
JamesPHoughton/pysd
pysd/pysd.py
read_xmile
def read_xmile(xmile_file): """ Construct a model object from `.xmile` file. """ from . import py_backend from .py_backend.xmile.xmile2py import translate_xmile py_model_file = translate_xmile(xmile_file) model = load(py_model_file) model.xmile_file = xmile_file return model
python
def read_xmile(xmile_file): """ Construct a model object from `.xmile` file. """ from . import py_backend from .py_backend.xmile.xmile2py import translate_xmile py_model_file = translate_xmile(xmile_file) model = load(py_model_file) model.xmile_file = xmile_file return model
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Construct a model object from `.xmile` file.
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/pysd.py#L16-L23
15,094
JamesPHoughton/pysd
pysd/pysd.py
read_vensim
def read_vensim(mdl_file): """ Construct a model from Vensim `.mdl` file. Parameters ---------- mdl_file : <string> The relative path filename for a raw Vensim `.mdl` file Returns ------- model: a PySD class object Elements from the python model are loaded into the PySD...
python
def read_vensim(mdl_file): """ Construct a model from Vensim `.mdl` file. Parameters ---------- mdl_file : <string> The relative path filename for a raw Vensim `.mdl` file Returns ------- model: a PySD class object Elements from the python model are loaded into the PySD...
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Construct a model from Vensim `.mdl` file. Parameters ---------- mdl_file : <string> The relative path filename for a raw Vensim `.mdl` file Returns ------- model: a PySD class object Elements from the python model are loaded into the PySD class and ready to run Examples ...
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/pysd.py#L25-L49
15,095
JamesPHoughton/pysd
pysd/py_backend/functions.py
cache
def cache(horizon): """ Put a wrapper around a model function Decorators with parameters are tricky, you have to essentially create a decorator that returns a decorator, which itself then returns the function wrapper. Parameters ---------- horizon: string - 'step' means cache j...
python
def cache(horizon): """ Put a wrapper around a model function Decorators with parameters are tricky, you have to essentially create a decorator that returns a decorator, which itself then returns the function wrapper. Parameters ---------- horizon: string - 'step' means cache j...
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Put a wrapper around a model function Decorators with parameters are tricky, you have to essentially create a decorator that returns a decorator, which itself then returns the function wrapper. Parameters ---------- horizon: string - 'step' means cache just until the next timestep ...
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/py_backend/functions.py#L44-L105
15,096
JamesPHoughton/pysd
pysd/py_backend/functions.py
ramp
def ramp(time, slope, start, finish=0): """ Implements vensim's and xmile's RAMP function Parameters ---------- time: function The current time of modelling slope: float The slope of the ramp starting at zero at time start start: float Time at which the ramp begins ...
python
def ramp(time, slope, start, finish=0): """ Implements vensim's and xmile's RAMP function Parameters ---------- time: function The current time of modelling slope: float The slope of the ramp starting at zero at time start start: float Time at which the ramp begins ...
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Implements vensim's and xmile's RAMP function Parameters ---------- time: function The current time of modelling slope: float The slope of the ramp starting at zero at time start start: float Time at which the ramp begins finish: float Optional. Time at which the...
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/py_backend/functions.py#L803-L837
15,097
JamesPHoughton/pysd
pysd/py_backend/functions.py
pulse
def pulse(time, start, duration): """ Implements vensim's PULSE function In range [-inf, start) returns 0 In range [start, start + duration) returns 1 In range [start + duration, +inf] returns 0 """ t = time() return 1 if start <= t < start + duration else 0
python
def pulse(time, start, duration): """ Implements vensim's PULSE function In range [-inf, start) returns 0 In range [start, start + duration) returns 1 In range [start + duration, +inf] returns 0 """ t = time() return 1 if start <= t < start + duration else 0
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Implements vensim's PULSE function In range [-inf, start) returns 0 In range [start, start + duration) returns 1 In range [start + duration, +inf] returns 0
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/py_backend/functions.py#L859-L867
15,098
JamesPHoughton/pysd
pysd/py_backend/functions.py
pulse_train
def pulse_train(time, start, duration, repeat_time, end): """ Implements vensim's PULSE TRAIN function In range [-inf, start) returns 0 In range [start + n * repeat_time, start + n * repeat_time + duration) return 1 In range [start + n * repeat_time + duration, start + (n+1) * repeat_time) return 0 ...
python
def pulse_train(time, start, duration, repeat_time, end): """ Implements vensim's PULSE TRAIN function In range [-inf, start) returns 0 In range [start + n * repeat_time, start + n * repeat_time + duration) return 1 In range [start + n * repeat_time + duration, start + (n+1) * repeat_time) return 0 ...
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Implements vensim's PULSE TRAIN function In range [-inf, start) returns 0 In range [start + n * repeat_time, start + n * repeat_time + duration) return 1 In range [start + n * repeat_time + duration, start + (n+1) * repeat_time) return 0
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/py_backend/functions.py#L870-L881
15,099
JamesPHoughton/pysd
pysd/py_backend/functions.py
lookup_extrapolation
def lookup_extrapolation(x, xs, ys): """ Intermediate values are calculated with linear interpolation between the intermediate points. Out-of-range values are calculated with linear extrapolation from the last two values at either end. """ length = len(xs) if x < xs[0]: dx = xs[1] - xs[0...
python
def lookup_extrapolation(x, xs, ys): """ Intermediate values are calculated with linear interpolation between the intermediate points. Out-of-range values are calculated with linear extrapolation from the last two values at either end. """ length = len(xs) if x < xs[0]: dx = xs[1] - xs[0...
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Intermediate values are calculated with linear interpolation between the intermediate points. Out-of-range values are calculated with linear extrapolation from the last two values at either end.
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bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda
https://github.com/JamesPHoughton/pysd/blob/bf1b1d03954e9ba5acac9ba4f1ada7cd93352eda/pysd/py_backend/functions.py#L917-L933