Adobe Acrobat Reader DC 歷史版本列表
更新時間：2019-07-27
更新細節：
更新時間：2019-07-09
更新細節：
更新時間：2019-06-14
更新細節：
What's new in this version:
ChatWork 2.5.1 (64-bit)
- Change log not available for this version
ChatWork 2.4.6 (64-bit)
- Change log not available for this version
ChatWork 2.4.5 (64-bit)
- Change log not available for this version
更新時間：2019-06-04
更新細節：
What's new in this version:
Fixed:
Could not replay logs for registry hive ...: L4 validation failed:
- KS-cell #0x... has invalid chain of UTF-16 byte pairs instead of its name
- Details: Can't convert string encoded in UTF-16: inconversible character (...) encountered at offset ...
更新時間：2019-05-28
更新細節：
What's new in this version:
- BUG: Some PyPy versions lack PyStructSequence_InitType2.
- MAINT, DEP: Fix deprecated assertEquals()
- BUG: Fix structured_to_unstructured on single-field types (backport)
- BLD: Make CI pass again with pytest 4.5
- TST: Register markers in conftest.py.
- BUG: Removes ValueError for empty kwargs in arraymultiter_new
- BUG: Add TypeError to accepted exceptions in crackfortran.
- BUG: Handle subarrays in descr_to_dtype
- BUG: Protect generators from log(0.0)
- BUG: Always return views from structured_to_unstructured when...
- BUG: Catch stderr when checking compiler version
- BUG: longdouble(int) does not work
- BUG: distutils/system_info.py fix missing subprocess import (#13523)
- BUG,DEP: Fix writeable flag setting for arrays without base
- MAINT: Prepare for the 1.16.4 release.
- BUG: special case object arrays when printing rel-, abs-error
更新時間：2019-05-21
更新細節：
更新時間：2019-04-22
更新細節：
What's new in this version:
Compatibility notes:
- Unpickling while loading requires explicit opt-in
- The functions np.load, and np.lib.format.read_array take an allow_pickle keyword which now defaults to False in response to CVE-2019-6446.
Improvements:
- Covariance in random.mvnormal cast to double
- This should make the tolerance used when checking the singular values of the covariance matrix more meaningful.
Changes:
- __array_interface__ offset now works as documented
- The interface may use an offset value that was previously mistakenly ignored.
更新時間：2019-02-26
更新細節：
What's new in this version:
- TST: fix vmImage dispatch in Azure
- MAINT: remove complicated test of multiarray import failure mode
- BUG: fix signed zero behavior in npy_divmod
- MAINT: Add functions to parse shell-strings in the platform-native...
- BUG: Fix regression in parsing of F90 and F77 environment variables
- BUG: parse shell escaping in extra_compile_args and extra_link_args
- BLD: Windows absolute path DLL loading
更新時間：2019-02-01
更新細節：
What's new in this version:
Enhancements
- Add mm->q floordiv
- Port np.core.overrides to C for speed
- Add np.ctypeslib.as_ctypes_type(dtype), improve np.ctypeslib.as_ctypes
- Add "max difference" messages to np.testing.assert_array_equal...
- Add mm->qm divmod
- Add _dtype_ctype to namespace for freeze analysis
Compatibility notes:
- The changed error message emited by array comparison testing functions may affect doctests. See below for detail.
- Casting from double and single denormals to float16 has been corrected. In some rare cases, this may result in results being rounded up instead of down, changing the last bit (ULP) of the result.
更新時間：2019-01-14
更新細節：
What's new in this version:
Highlights:
- Experimental support for overriding numpy functions, see __array_function__ below.
- The matmul function is now a ufunc. This provides better performance and allows overriding with __array_ufunc__.
- Improved support for the ARM and POWER architectures.
- Improved support for AIX and PyPy.
- Improved interop with ctypes.
- Improved support for PEP 3118.
New functions:
- New functions added to the numpy.lib.recfuntions module to ease the structured assignment changes: assign_fields_by_name, structured_to_unstructured, unstructured_to_structured, apply_along_fields, require_fields
New deprecations:
- The type dictionaries numpy.core.typeNA and numpy.core.sctypeNA are deprecated. They were buggy and not documented and will be removed in the 1.18 release. Usenumpy.sctypeDict instead.
- The numpy.asscalar function is deprecated. It is an alias to the more powerful numpy.ndarray.item, not tested, and fails for scalars.
- The numpy.set_array_ops and numpy.get_array_ops functions are deprecated.
- As part of NEP 15, they have been deprecated along with the C-API functions :c:func:PyArray_SetNumericOps and :c:func:PyArray_GetNumericOps. Users who wish to override the inner loop functions in built-in ufuncs should use :c:func:PyUFunc_ReplaceLoopBySignature.
- The numpy.unravel_index keyword argument dims is deprecated, use shape instead.
- The numpy.histogram normed argument is deprecated. It was deprecated previously, but no warning was issued.
- The positive operator (+) applied to non-numerical arrays is deprecated. See below for details.
- Passing an iterator to the stack functions is deprecated
Expired deprecations:
- NaT comparisons now return False without a warning, finishing a deprecation cycle begun in NumPy 1.11.
- np.lib.function_base.unique was removed, finishing a deprecation cycle begun in NumPy 1.4. Use numpy.unique instead.
- multi-field indexing now returns views instead of copies, finishing a deprecation cycle begun in NumPy 1.7. The change was previously attempted in NumPy 1.14 but reverted until now.
- np.PackageLoader and np.pkgload have been removed. These were deprecated in 1.10, had no tests, and seem to no longer work in 1.15.
Future changes:
NumPy 1.17 will drop support for Python 2.7