Source

pypy / pypy / module / micronumpy / interp_dtype.py

Author Commit Message Labels Comments Date
Romain Guillebert
Implement pickling for record dtypes
Branches
numpy-pickle
Romain Guillebert
merge default
Branches
numpy-pickle
Romain Guillebert
Make the translator happy
Branches
numpy-pickle
Romain Guillebert
Make sure non-flexible dtypes are considered as such.
Branches
numpy-pickle
mattip
fix wrong type in error message (amaury, arigato)
Maciej Fijalkowski
merge remove-list-smm, that removes two of ANY_ANY_ANY
Brian Kearns
backout the backout of str-dtype-improvement in c967eefd1789 after discussion with fijal
Maciej Fijalkowski
backout the merge of str-dtype-improvement branch. Seems new numpy is not doing it any more (also mattip is flying so it would take him a while to look at it). Feel free to redo if there is some evidence this is the intended behavior
Comments 1
Romain Guillebert
Implement pickling for dtypes
Branches
numpy-pickle
Romain Guillebert
Implement pickle for dtypes
Branches
numpy-pickle
Alex Gaynor
finish killing Wrappable
Branches
remove-list-smm
mattip
merge default into branch
Branches
str-dtype-improvement
mattip
test, add set_real, set_imag for scalars. Also add composite() to types.ComplexType to create complex from real, imag boxes
Branches
scalar_get_set
mattip
test, fix for flatiter of int => str; rename intention
Branches
str-dtype-improvement
mattip
implement convert_from for str arrays only
Branches
str-dtype-improvement
Brian Kearns
add uint alias, test more aliases
mattip
better handling of string dtypes
mattip
use flag ENABLED_LONG_DOUBLE instead of '0'
Branches
numpypy-disable-longdouble
mattip
remove longdouble and related dtypes, start to move tests accordingly
Branches
numpypy-disable-longdouble
Brian Kearns
convert this back to a list and verify it is complete
Brian Kearns
enhance tests for numpypy string record/array to demonstrate existing bugs
Brian Kearns
fix numpypy binop promotion
Brian Kearns
some cleanups and a test for numpypy longdouble aliases
Brian Kearns
have numpypy long dtype override both int32/int64 dtypes
mattip
test, fix scalar string types
Brian Kearns
fix numpy.dtype(intp/uintp).num on 64bit
mattip
allow abstract dtypes in array construction, issue # 1160
mattip
test differently
Branches
missing-ndarray-attributes
mattip
use reds=auto, try to fix zjit tests
Branches
missing-ndarray-attributes
mattip
merge default into branch
Branches
missing-ndarray-attributes
  1. Prev
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5
  7. 6
  8. 7
  9. Next