Hash files using given hashfunc. Parameters ---------- idirs : directory path Directory containing files to be hashed. hashfu

Helper function for ma.correlate and ma.convolve

Private function for the computation of covariance and correlation coefficients.

Adjust the axis passed to argsort, warning if necessary Parameters ---------- arr The array which argsort was called on

* Python API function to expose the dtype+shape discovery functionality * directly. */

Compute a/b ignoring invalid results. If `a` is an array the division is done in place. If `a` is a scalar, then its type is preserved in the

Returns dtype for datetime64 and type of dtype otherwise.

This is a helper function of loadtxt and genfromtxt to ensure proper minimum dimension as requested ndim : int. Supported values 1, 2

Just checks if the param ndmin is supported on _ensure_ndmin_ndarray. It is intended to be used as verification before running anythin

Finds the clumps (groups of data with the same values) for a 1D bool array. Returns a series of slices.

* This function analyzes the input arguments and determines an appropriate * method (__array_prepare__ or __array_wrap__) function to call, taking it

Searches for ``path`` and returns full path if found. If path is an URL, _findfile will cache a local copy and return the path to the

Update the fill_value and masked data of `output` from the default given in a dictionary defaults.

Converts float to conv. Parameters ---------- value : float value to be converted.

Converts float to float. Parameters ---------- value : float value to be converted.

Converts float to str. Parameters ---------- value : float value to be converted.

fix rank-0 --> rank-1

Generate the full string representation of the polynomial, using ``term_method`` to generate each polynomial term.

Computes the bins used internally by `histogram`. Parameters ========== a : ndarray Ravelled data array bins, range

* Note: This function currently lets DType classes pass, but in general * the class (not the descriptor instance) is the preferred input, so the * p

Convert the argument for *_fill_value into a dtype

Retrieve edge values from empty-padded array in given dimension. Parameters ---------- padded : ndarray Empty-padded array.

* Attempts to subscript an array using a field name or list of field names. * * ret = 0, view != NULL: view points to the requested fields of arr

Returns a flat list of (dtype, count, offset) tuples of all the scalar fields in the dtype "dt", including nested fields, in left to righ

* Finish conversion parsing of the DType signature. NumPy always only * honored the type number for passed in descriptors/dtypes. * The `dtype` arg

find the right formatting function for the dtype_

Return path's Mercurial revision number.

Mimic multi dimensional indexing. Parameters ---------- arr : ndarray Array to be indexed. indices : tupl

Determine the outer bin edges to use, from either the data or the range argument

* Returns an incref'ed pointer to the proper __array_prepare__/__array_wrap__ * method for a ufunc output argument, given the output argument `obj`,

Return path's SVN revision number.

* Helper for `PyArray_MapIterSwapAxes` (and related), see its documentation. */

Get the arg tuple to pass in the context argument to __array_wrap__ and * __array_prepare__. * * Output arguments are only passed if at least one i

Returns the dtype of the input variable.

Provide information about ndarray obj. Parameters ---------- obj : ndarray Must be ndarray, not checked. output Where

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

Returns True if arr is a string or a string array with a dtype that represents a unicode string, otherwise returns False.

Test if the filename is a zip file by looking at the file extension.

Make a dictionary out of the non-None arguments, plus conversion of *legacy* and sanity checks.

* check whether arrays with datatype dtype might have object fields. This will * only happen for structured dtypes (which may have hidden objects eve

Return a np.array that encodes the optimal order of mutiplications. The optimal order array is then used by `_multi_dot()` to do the mul

Assumes that q is in [0, 1], and is an ndarray

* These algorithms use special sorting. They are not called unless the * underlying sort function for the type is available. Note that axis is * a

* Implementation which is common between PyArray_Correlate * and PyArray_Correlate2. * * inverted is set to 1 if computed correlate(ap2, ap1), 0 ot

Assumes that q is in [0, 1], and is an ndarray

Check a and weights have matching shapes, and ravel both

Recursively produce a fill value for `dtype`, calling f on scalar dtypes

Puts printoptions in result where mask is True. Private function allowing for recursion

Implement a reflected binary method with a ufunc, e.g., __radd__.

Equivalent to arr1d[~arr1d.isnan()], but in a different order Presumably faster as it incurs fewer copies Parameters ----------

Run modified doctests for the set of `tests`. Parameters ---------- tests : list full_name : str verbose : bool doctes