Create a branch for io work in NumPy

1 files changed, 0 insertions, 136 deletions

diff --git a/numpy/lib/info.py b/numpy/lib/info.py
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-__doc_title__ = """Basic functions used by several sub-packages and
-useful to have in the main name-space."""
-__doc__ = __doc_title__ + """
-
-Type handling
-==============
-iscomplexobj     --  Test for complex object, scalar result
-isrealobj        --  Test for real object, scalar result
-iscomplex        --  Test for complex elements, array result
-isreal           --  Test for real elements, array result
-imag             --  Imaginary part
-real             --  Real part
-real_if_close    --  Turns complex number with tiny imaginary part to real
-isneginf         --  Tests for negative infinity ---|
-isposinf         --  Tests for positive infinity    |
-isnan            --  Tests for nans                 |----  array results
-isinf            --  Tests for infinity             |
-isfinite         --  Tests for finite numbers    ---|
-isscalar         --  True if argument is a scalar
-nan_to_num       --  Replaces NaN's with 0 and infinities with large numbers
-cast             --  Dictionary of functions to force cast to each type
-common_type      --  Determine the 'minimum common type code' for a group
-                       of arrays
-mintypecode      --  Return minimal allowed common typecode.
-
-Index tricks
-==================
-mgrid            --  Method which allows easy construction of N-d 'mesh-grids'
-r_               --  Append and construct arrays: turns slice objects into
-                       ranges and concatenates them, for 2d arrays appends
-                       rows.
-index_exp        --  Konrad Hinsen's index_expression class instance which
-                     can be useful for building complicated slicing syntax.
-
-Useful functions
-==================
-select           --  Extension of where to multiple conditions and choices
-extract          --  Extract 1d array from flattened array according to mask
-insert           --  Insert 1d array of values into Nd array according to mask
-linspace         --  Evenly spaced samples in linear space
-logspace         --  Evenly spaced samples in logarithmic space
-fix              --  Round x to nearest integer towards zero
-mod              --  Modulo mod(x,y) = x % y except keeps sign of y
-amax             --  Array maximum along axis
-amin             --  Array minimum along axis
-ptp              --  Array max-min along axis
-cumsum           --  Cumulative sum along axis
-prod             --  Product of elements along axis
-cumprod          --  Cumluative product along axis
-diff             --  Discrete differences along axis
-angle            --  Returns angle of complex argument
-unwrap           --  Unwrap phase along given axis (1-d algorithm)
-sort_complex     --  Sort a complex-array (based on real, then imaginary)
-trim_zeros       --  trim the leading and trailing zeros from 1D array.
-
-vectorize        --  a class that wraps a Python function taking scalar
-                         arguments into a generalized function which
-                         can handle arrays of arguments using the broadcast
-                         rules of numerix Python.
-
-Shape manipulation
-===================
-squeeze          --  Return a with length-one dimensions removed.
-atleast_1d       --  Force arrays to be > 1D
-atleast_2d       --  Force arrays to be > 2D
-atleast_3d       --  Force arrays to be > 3D
-vstack           --  Stack arrays vertically (row on row)
-hstack           --  Stack arrays horizontally (column on column)
-column_stack     --  Stack 1D arrays as columns into 2D array
-dstack           --  Stack arrays depthwise (along third dimension)
-split            --  Divide array into a list of sub-arrays
-hsplit           --  Split into columns
-vsplit           --  Split into rows
-dsplit           --  Split along third dimension
-
-Matrix (2d array) manipluations
-===============================
-fliplr           --  2D array with columns flipped
-flipud           --  2D array with rows flipped
-rot90            --  Rotate a 2D array a multiple of 90 degrees
-eye              --  Return a 2D array with ones down a given diagonal
-diag             --  Construct a 2D array from a vector, or return a given
-                       diagonal from a 2D array.
-mat              --  Construct a Matrix
-bmat             --  Build a Matrix from blocks
-
-Polynomials
-============
-poly1d           --  A one-dimensional polynomial class
-
-poly             --  Return polynomial coefficients from roots
-roots            --  Find roots of polynomial given coefficients
-polyint          --  Integrate polynomial
-polyder          --  Differentiate polynomial
-polyadd          --  Add polynomials
-polysub          --  Substract polynomials
-polymul          --  Multiply polynomials
-polydiv          --  Divide polynomials
-polyval          --  Evaluate polynomial at given argument
-
-Import tricks
-=============
-ppimport         --  Postpone module import until trying to use it
-ppimport_attr    --  Postpone module import until trying to use its
-                      attribute
-ppresolve        --  Import postponed module and return it.
-
-Machine arithmetics
-===================
-machar_single    --  MachAr instance storing the parameters of system
-                     single precision floating point arithmetics
-machar_double    --  MachAr instance storing the parameters of system
-                     double precision floating point arithmetics
-
-Threading tricks
-================
-ParallelExec     --  Execute commands in parallel thread.
-
-1D array set operations
-=======================
-Set operations for 1D numeric arrays based on sort() function.
-
-ediff1d          --  Array difference (auxiliary function).
-unique1d         --  Unique elements of 1D array.
-intersect1d      --  Intersection of 1D arrays with unique elements.
-intersect1d_nu   --  Intersection of 1D arrays with any elements.
-setxor1d         --  Set exclusive-or of 1D arrays with unique elements.
-setmember1d      --  Return an array of shape of ar1 containing 1 where
-                     the elements of ar1 are in ar2 and 0 otherwise.
-union1d          --  Union of 1D arrays with unique elements.
-setdiff1d        --  Set difference of 1D arrays with unique elements.
-
-"""
-
-depends = ['core','testing']
-global_symbols = ['*']