@@ -67,20 +67,20 @@ library has good performance characteristics. In comparison with other Python pr
6767
6868For inlining CSS in the html document from the ``Usage `` section above we have the following breakdown in our benchmarks:
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70- - ``css_inline 0.4 .0 `` - 23.84 us
71- - ``premailer 3.7.0 `` - 331 us (**x13.9 **)
72- - ``inlinestyler 0.2.4 `` - 2.45 ms (**x102.8 **)
73- - ``pynliner 0.8.0 `` - 2.81 ms (**x118.04 **)
70+ - ``css_inline 0.5 .0 `` - 22.88 us
71+ - ``premailer 3.7.0 `` - 331 us (**x14.48 **)
72+ - ``inlinestyler 0.2.4 `` - 2.43 ms (**x106.43 **)
73+ - ``pynliner 0.8.0 `` - 2.76 ms (**x120.76 **)
7474
7575And for a more realistic email:
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77- - ``css_inline 0.4 .0 `` - 491.63 us
78- - ``premailer 3.7.0 `` - 3.31 ms (**x6.74 **)
79- - ``inlinestyler 0.2.4 `` - 61.78 ms (**x125.68 **)
80- - ``pynliner 0.8.0 `` - 92.68 ms (**x188.52 **)
77+ - ``css_inline 0.5 .0 `` - 469.57 us
78+ - ``premailer 3.7.0 `` - 3.32 ms (**x7.09 **)
79+ - ``inlinestyler 0.2.4 `` - 63.15 ms (**x125.58 **)
80+ - ``pynliner 0.8.0 `` - 90.66 ms (**x189.20 **)
8181
8282You can take a look at the benchmarks' code at ``benches/bench.py `` file.
83- The results above were measured with ``rustc 1.46 ``, ``Python 3.8 `` on i8700K, and 32GB RAM.
83+ The results above were measured with stable ``rustc 1.45.2 ``, ``Python 3.8 `` on i8700K, and 32GB RAM.
8484
8585Python support
8686--------------
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