These two methods accept an *existing* directory path, onto which we join
the source path's base name to form the final target path.
A possible alternative implementation is to check for directories in
`copy()` and `move()` and adjust the target path, which is done in several
`shutil` functions. This behaviour is helpful in a shell context, but
less so in a stored program that explicitly specifies destinations. For
example, a user that calls `Path('foo.py').copy('bar.py')` might not
imagine that `bar.py/foo.py` would be created, but under the alternative
implementation this will happen if `bar.py` is an existing directory.
When display lines above the cursor come from the cache, the first line
to not come from the cache may be a wrapped line, starting half way
through a logical line in the buffer. Detect and handle this case to
avoid accidentally drawing a stray prompt in the middle of a logical
line.
Add a `Path.move()` method that moves a file or directory tree, and returns a new `Path` instance pointing to the target.
This method is similar to `shutil.move()`, except that it doesn't accept a *copy_function* argument, and it doesn't check whether the destination is an existing directory.
* pass the original string error message from the ftplib error to URLError()
* Update request.py
Change error string for ftp error to be consistent with other errors reported for ftp
* Add NEWS entry for change to urllib.request for ftp errors.
* Track the change in the ftp error message in the test.
Check that the current default heap is initialized in
`_mi_os_get_aligned_hint` and `mi_os_claim_huge_pages`.
The mimalloc function `_mi_os_get_aligned_hint` assumes that there is an
initialized default heap. This is true for our main thread, but not for
background threads. The problematic code path is usually called during
initialization (i.e., `Py_Initialize`), but it may also be called if the
program allocates large amounts of memory in total.
The crash only affected the free-threaded build.
`Path.read_bytes()` is used to read a whole file. buffering /
BufferedIO is focused around making small, possibly interleaved,
read/write efficient which doesn't add value in this case.
On my Mac, running the benchmark:
```python
import pyperf
from pathlib import Path
def read_all(all_paths):
for p in all_paths:
p.read_bytes()
def read_file(path_obj):
path_obj.read_bytes()
all_rst = list(Path("Doc").glob("**/*.rst"))
all_py = list(Path(".").glob("**/*.py"))
assert all_rst, "Should have found rst files"
assert all_py, "Should have found python source files"
runner = pyperf.Runner()
runner.bench_func("read_file_small", read_file, Path("Doc/howto/clinic.rst"))
runner.bench_func("read_file_large", read_file, Path("Doc/c-api/typeobj.rst"))
```
before:
```python
.....................
read_file_small: Mean +- std dev: 6.80 us +- 0.07 us
.....................
read_file_large: Mean +- std dev: 10.8 us +- 0.2 us
````
after:
```python
.....................
read_file_small: Mean +- std dev: 5.67 us +- 0.05 us
.....................
read_file_large: Mean +- std dev: 9.77 us +- 0.52 us
```
Adds a script for running the test suite on Android emulator devices. Starting
with a fresh install of the Android Commandline tools; the script manages
installing other requirements, starting the emulator (if required), and
retrieving results from that emulator.
