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161 lines
6.5 KiB
Python
161 lines
6.5 KiB
Python
"""
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Basic functions used by several sub-packages and
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useful to have in the main name-space.
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Type Handling
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-------------
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================ ===================
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iscomplexobj Test for complex object, scalar result
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isrealobj Test for real object, scalar result
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iscomplex Test for complex elements, array result
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isreal Test for real elements, array result
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imag Imaginary part
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real Real part
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real_if_close Turns complex number with tiny imaginary part to real
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isneginf Tests for negative infinity, array result
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isposinf Tests for positive infinity, array result
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isnan Tests for nans, array result
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isinf Tests for infinity, array result
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isfinite Tests for finite numbers, array result
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isscalar True if argument is a scalar
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nan_to_num Replaces NaN's with 0 and infinities with large numbers
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cast Dictionary of functions to force cast to each type
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common_type Determine the minimum common type code for a group
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of arrays
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mintypecode Return minimal allowed common typecode.
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================ ===================
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Index Tricks
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------------
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================ ===================
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mgrid Method which allows easy construction of N-d
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'mesh-grids'
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``r_`` Append and construct arrays: turns slice objects into
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ranges and concatenates them, for 2d arrays appends rows.
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index_exp Konrad Hinsen's index_expression class instance which
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can be useful for building complicated slicing syntax.
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================ ===================
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Useful Functions
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----------------
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================ ===================
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select Extension of where to multiple conditions and choices
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extract Extract 1d array from flattened array according to mask
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insert Insert 1d array of values into Nd array according to mask
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linspace Evenly spaced samples in linear space
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logspace Evenly spaced samples in logarithmic space
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fix Round x to nearest integer towards zero
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mod Modulo mod(x,y) = x % y except keeps sign of y
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amax Array maximum along axis
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amin Array minimum along axis
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ptp Array max-min along axis
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cumsum Cumulative sum along axis
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prod Product of elements along axis
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cumprod Cumluative product along axis
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diff Discrete differences along axis
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angle Returns angle of complex argument
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unwrap Unwrap phase along given axis (1-d algorithm)
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sort_complex Sort a complex-array (based on real, then imaginary)
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trim_zeros Trim the leading and trailing zeros from 1D array.
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vectorize A class that wraps a Python function taking scalar
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arguments into a generalized function which can handle
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arrays of arguments using the broadcast rules of
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numerix Python.
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================ ===================
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Shape Manipulation
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------------------
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================ ===================
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squeeze Return a with length-one dimensions removed.
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atleast_1d Force arrays to be >= 1D
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atleast_2d Force arrays to be >= 2D
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atleast_3d Force arrays to be >= 3D
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vstack Stack arrays vertically (row on row)
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hstack Stack arrays horizontally (column on column)
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column_stack Stack 1D arrays as columns into 2D array
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dstack Stack arrays depthwise (along third dimension)
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stack Stack arrays along a new axis
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split Divide array into a list of sub-arrays
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hsplit Split into columns
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vsplit Split into rows
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dsplit Split along third dimension
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================ ===================
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Matrix (2D Array) Manipulations
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-------------------------------
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================ ===================
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fliplr 2D array with columns flipped
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flipud 2D array with rows flipped
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rot90 Rotate a 2D array a multiple of 90 degrees
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eye Return a 2D array with ones down a given diagonal
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diag Construct a 2D array from a vector, or return a given
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diagonal from a 2D array.
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mat Construct a Matrix
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bmat Build a Matrix from blocks
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================ ===================
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Polynomials
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-----------
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================ ===================
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poly1d A one-dimensional polynomial class
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poly Return polynomial coefficients from roots
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roots Find roots of polynomial given coefficients
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polyint Integrate polynomial
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polyder Differentiate polynomial
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polyadd Add polynomials
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polysub Subtract polynomials
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polymul Multiply polynomials
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polydiv Divide polynomials
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polyval Evaluate polynomial at given argument
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================ ===================
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Iterators
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---------
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================ ===================
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Arrayterator A buffered iterator for big arrays.
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================ ===================
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Import Tricks
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-------------
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================ ===================
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ppimport Postpone module import until trying to use it
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ppimport_attr Postpone module import until trying to use its attribute
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ppresolve Import postponed module and return it.
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================ ===================
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Machine Arithmetics
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-------------------
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================ ===================
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machar_single Single precision floating point arithmetic parameters
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machar_double Double precision floating point arithmetic parameters
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================ ===================
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Threading Tricks
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----------------
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================ ===================
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ParallelExec Execute commands in parallel thread.
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================ ===================
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Array Set Operations
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-----------------------
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Set operations for numeric arrays based on sort() function.
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================ ===================
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unique Unique elements of an array.
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isin Test whether each element of an ND array is present
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anywhere within a second array.
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ediff1d Array difference (auxiliary function).
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intersect1d Intersection of 1D arrays with unique elements.
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setxor1d Set exclusive-or of 1D arrays with unique elements.
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in1d Test whether elements in a 1D array are also present in
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another array.
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union1d Union of 1D arrays with unique elements.
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setdiff1d Set difference of 1D arrays with unique elements.
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================ ===================
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"""
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from __future__ import division, absolute_import, print_function
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depends = ['core', 'testing']
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global_symbols = ['*']
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