@@ -130,7 +130,7 @@ popular Python JSON libraries.
130130- json _ (standard library)
131131
132132The full benchmark source can be found
133- `here <https://github.com/jcrist/msgspec/tree /main/benchmarks/bench_encodings.py >`__.
133+ `here <https://github.com/jcrist/msgspec/blob /main/benchmarks/bench_encodings.py >`__.
134134
135135.. raw :: html
136136
@@ -187,7 +187,7 @@ For each library, we measure both the peak increase in memory usage (RSS) and
187187the time to JSON decode the file.
188188
189189The full benchmark source can be found `here
190- <https://github.com/jcrist/msgspec/tree /main/benchmarks/bench_large_json.py> `__.
190+ <https://github.com/jcrist/msgspec/blob /main/benchmarks/bench_large_json.py> `__.
191191
192192**Results (smaller is better): **
193193
@@ -252,7 +252,7 @@ For each library, the following operations are benchmarked:
252252- Time to compare two instances for order (``< ``/``> ``/``<= ``/``>= ``)
253253
254254The full benchmark source can be found `here
255- <https://github.com/jcrist/msgspec/tree /main/benchmarks/bench_structs.py> `__.
255+ <https://github.com/jcrist/msgspec/blob /main/benchmarks/bench_structs.py> `__.
256256
257257**Results (smaller is better): **
258258
@@ -299,7 +299,7 @@ of the benchmarked type, then measure:
299299- The total amount of memory used by this data structure
300300
301301The full benchmark source can be found `here
302- <https://github.com/jcrist/msgspec/tree /main/benchmarks/bench_gc.py> `__.
302+ <https://github.com/jcrist/msgspec/blob /main/benchmarks/bench_gc.py> `__.
303303
304304**Results (smaller is better): **
305305
@@ -342,7 +342,7 @@ Here we compare the on-disk size of ``msgspec`` and ``pydantic``, its closest
342342equivalent.
343343
344344The full benchmark source can be found `here
345- <https://github.com/jcrist/msgspec/tree /main/benchmarks/bench_library_size.py> `__.
345+ <https://github.com/jcrist/msgspec/blob /main/benchmarks/bench_library_size.py> `__.
346346
347347**Results (smaller is better) **
348348
@@ -540,9 +540,9 @@ smaller on disk.
540540.. _simdjson : https://github.com/TkTech/pysimdjson
541541.. _ujson : https://github.com/ultrajson/ultrajson
542542.. _rapidjson : https://github.com/python-rapidjson/python-rapidjson
543- .. _attrs : https://www.attrs.org
543+ .. _attrs : https://www.attrs.org/en/stable/
544544.. _dataclasses : https://docs.python.org/3/library/dataclasses.html
545- .. _pydantic : https://pydantic- docs.helpmanual.io /
545+ .. _pydantic : https://docs.pydantic.dev/latest /
546546.. _cattrs : https://catt.rs/en/latest/
547547.. _mashumaro : https://github.com/Fatal1ty/mashumaro
548548.. _conda-forge : https://conda-forge.org/
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