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* Support comments in JSON
This deviates from the JSON specification but doesn't affect valid JSON.
* Update the JSON parser and tests to reach 100% code and branch coverage
* Note work on JSON lexer
* Fix a roundtrip error identified by a random test input in CI
* Note that comments are supported, and that no validation is performed
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pyupgrade is a tool to automatically upgrade syntax for newer versions
of the Python language.
The project has been Python 3 only since
35544e2fc6eed0ce4a27ec7285aac71ff0ddc473, allowing for several cleanups:
- Remove unnecessary "-*- coding: utf-8 -*-" cookie. Python 3 reads all
source files as utf-8 by default.
- Replace IOError/EnvironmentError with OSError. Python 3 unified these
exceptions. The old names are aliases only.
- Use the Python 3 shorter super() syntax.
- Remove "utf8" argument form encode/decode. In Python 3, this value is
the default.
- Remove "r" from open() calls. In Python 3, this value is the default.
- Remove u prefix from Unicode strings. In Python 3, all strings are
Unicode.
- Replace io.open() with builtin open(). In Python 3, these functions
are functionally equivalent.
Co-authored-by: Matthäus G. Chajdas <Anteru@users.noreply.github.com>
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* Update the JSON-LD keyword list to match JSON-LD 1.1
Changes in this patch:
* Update the JSON-LD URL to HTTPS
* Update the list of JSON-LD keywords
* Make the JSON-LD parser less dependent on the JSON lexer implementation
* Add unit tests for the JSON-LD lexer
* Add unit tests for the JSON parser
This includes:
* Testing valid literals
* Testing valid string escapes
* Testing that object keys are tokenized differently from string values
* Rewrite the JSON lexer
Related to #1425
Included in this change:
* The JSON parser is rewritten
* The JSON bare object parser no longer requires additional code
* `get_tokens_unprocessed()` returns as much as it can to reduce yields
(for example, side-by-side punctuation is not returned separately)
* The unit tests were updated
* Add unit tests based on Hypothesis test results
* Reduce HTML formatter memory consumption by ~33% and speed it up
Related to #1425
Tested on a 118MB JSON file. Memory consumption tops out at ~3GB before
this patch and drops to only ~2GB with this patch. These were the command
lines used:
python -m pygments -l json -f html -o .\new-code-classes.html .\jc-output.txt
python -m pygments -l json -f html -O "noclasses" -o .\new-code-styles.html .\jc-output.txt
* Add an LRU cache to the HTML formatter's HTML-escaping and line-splitting
For a 118MB JSON input file, this reduces memory consumption by ~500MB
and reduces formatting time by ~15 seconds.
* JSON: Add a catastrophic backtracking test back to the test suite
* JSON: Update the comment that documents the internal queue
* JSON: Document in comments that ints/floats/constants are not validated
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Fixes #1544
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* all: remove "u" string prefix
* util: remove unirange
Since Python 3.3, all builds are wide unicode compatible.
* unistring: remove support for narrow-unicode builds
which stopped being relevant with Python 3.3
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* more explicitly define escape sequencies in JsonLexer (fix #1065)
* adding test coverage for #1065
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Fixes #884
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