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Parses a superset of Python allowing for inline module import expressions
Import Expression Parser converts code like this:
urllib.parse!.quote('hello there')
Into this equivalent code:
__import__('importlib').import_module('urllib.parse').quote('hello there')
>>> import import_expression
>>> import_expression.eval('collections!.Counter("bccdddeeee")')
Counter({'e': 4, 'd': 3, 'c': 2, 'b': 1})
The other public functions are exec
, compile
, parse
, and find_imports
.
See their docstrings for details.
By default, the filename for SyntaxError
s is <string>
.
To change this, pass in a filename via the filename
kwarg.
import_expression.eval/exec/compile should not be passed strings in a tight loop.
Doing so will recompile the string every time. Instead, you should pre-compile the string to a code object
and pass that to import_expression.eval / import_expression.exec.
For example, instead of this:
for line in sys.stdin:
print(import_expression.eval('foo!.bar(l)', dict(l=line))
Prefer this:
code = import_expression.compile('foo!.bar(l)', mode='eval')
for line in sys.stdin:
print(import_expression.eval(code, dict(l=line)))
Run import-expression
for an import expression enabled REPL.
Run import-expression -a
for a REPL that supports both import expressions and top level await
(3.8+).
Combine these with -i
to open a REPL after running the file specified on the command line. -ia
allows top-level await.
See import-expression --help
for more details.
Run import-expression <filename.py>
.
!
is already an operator inside f-strings,
import expressions inside f-strings will likely never be supported.import_expression.exec
will have no effect on the caller's globals or locals
without an explicit globals
argument.x ! .y
) are not supported.Copyright © io mintz <io@mintz.cc>. All Rights Reserved.
Licensed under the MIT License. See the LICENSE file for details.
FAQs
Parses a superset of Python allowing for inline module import expressions
We found that import-expression demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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