Determine if a vertex p is inside (or "on") a triangle made of the points a->b->c http://blackpawn.com/texts/pointinpoly/

Determine if `int_` falls into one of the ranges in `ranges`.

Determine if vertex is locally convex.

Return number of jiffies elapsed. Return number of jiffies (1/100ths of a second) that this process has been scheduled in us

Evaluate a Laguerre series at points x. If `c` is of length `n + 1`, this function returns the value: .. math:: p(x) = c_0 * L_0(x) + c

Evaluate a Legendre series at points x. If `c` is of length `n + 1`, this function returns the value: .. math:: p(x) = c_0 * L_0(x) + c

Return an array with the elements of `self` left-justified in a string of length `width`. See also --------

Mask an array inside a given interval. Shortcut to ``masked_where``, where `condition` is True for `x` inside the interval [v1,v2] (v1 <

Mask an array outside a given interval. Shortcut to ``masked_where``, where `condition` is True for `x` outside the interval [v1,v2] (x

Returns the average of the matrix elements along the given axis. Refer to `numpy.mean` for full documentation. See Also

Load a module. .. versionadded:: 1.11.2 Parameters ---------- name : str Full module name.

Attaches an option to the command. All positional arguments are passed as parameter declarations to :class:`Option`; all keyword arguments ar

Return a random matrix with data from the "standard normal" distribution. `randn` generates a matrix filled with random floats sampled from

The real part of the masked array. This property is a view on the real part of this `MaskedArray`. See Also -------

Properly register a hook.

Return path relative to parent_path.

Resolves the argument to a numeric constant, which can be passed to the wrap_socket function/method from the ssl module. Defaults to :dat

For each element in `self`, return a list of the words in the string, using `sep` as the delimiter string. See also

Set a Python function to be used when pretty printing arrays. Parameters ---------- f : function or None Function to be used

Set difference of 1D arrays with unique elements. The output is always a masked array. See `numpy.setdiff1d` for more details. See

sorts output of python glob for https://bugs.python.org/issue30461 to allow extensions to have reproducible build results

Singular Value Decomposition. When `a` is a 2D array, it is factorized as ``u @ np.diag(s) @ vh = (u * s) @ vh``, where `u` and `vh` are

For each element in `self`, return a copy of the string with uppercase characters converted to lowercase and vice versa. See

Context manager to provide a temporary test folder. All arguments are passed as this to the underlying tempfile.mkdtemp function.

Transpose each matrix in a stack of matrices. Unlike np.transpose, this only swaps the last two axes, rather than all of them Param

Remove small Poly series coefficients. Parameters ---------- seq : sequence Sequence of Poly series coefficients. This routine fa

Computes and updates the "metadata" property of this CityJSON dataset

Returns the variance of the matrix elements, along the given axis. Refer to `numpy.var` for full documentation. See Also

A helper function that intelligently wraps text. By default, it assumes that it operates on a single paragraph of text but if the `preserve_p

Return the internal state of the masked array, for pickling purposes.

A convenience function for operations that need to preserve axis orientation.

Convert a list of indices ``[0, 1, 2]`` into ``"arrays[0][1][2]"``.

Check if the value is iterable but not a string. Raises a type error, or return an iterator over the value.

Describe the range for use in help text.

Create MachAr instance with found information on float types

Helper function that returns the number of characters per field in a string or unicode array. This is to abstract out the fact that for

Replace masked values with masked_print_option, casting all innermost dtypes to object.

Compute a function of the singular values of the 2-D matrices in `x`. This is a private utility function used by `numpy.linalg.norm()`. Para

Evaluate a normalized HermiteE polynomial. Compute the value of the normalized HermiteE polynomial of degree ``n`` at the points ``x``.

Evaluate a normalized Hermite polynomial. Compute the value of the normalized Hermite polynomial of degree ``n`` at the points ``x``.

Simply print unformatted text. This is the ultimate fallback.

Page through text by feeding it to another program. Invoking a pager through this might support colors.