edit: docs

Author: WrldEngine

README.md

@@ -14,44 +14,48 @@ print(sum_two_i32_result)
 ```
 
 ## Benchmarks (Python)
-```
---------------------------------------- benchmark 'arr_i32': 1 tests ---------------------------------------
-Name (time in ms)        Min     Max    Mean  StdDev  Median     IQR  Outliers       OPS  Rounds  Iterations
-------------------------------------------------------------------------------------------------------------
-test_sum_arr_i32      4.2611  4.4810  4.3450  0.0814  4.3310  0.0625       2;1  230.1495       5         100
-------------------------------------------------------------------------------------------------------------
-
----------------------------------------- benchmark 'arr_i32_simd': 1 tests -----------------------------------------
-Name (time in us)            Min     Max    Mean  StdDev  Median     IQR  Outliers  OPS (Kops/s)  Rounds  Iterations
---------------------------------------------------------------------------------------------------------------------
-test_sum_arr_i32_simd     1.1802  1.2003  1.1903  0.0071  1.1903  0.0051       2;0      840.1472       5      100000
---------------------------------------------------------------------------------------------------------------------
-
----------------------------------------- benchmark 'numpy': 1 tests ----------------------------------------
-Name (time in ms)        Min     Max    Mean  StdDev  Median     IQR  Outliers       OPS  Rounds  Iterations
-------------------------------------------------------------------------------------------------------------
-test_numpy_sum        7.6939  7.8477  7.7710  0.0544  7.7710  0.0387       2;0  128.6840       5          13
-------------------------------------------------------------------------------------------------------------
-
-Legend:
-  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
-  OPS: Operations Per Second, computed as 1 / Mean
-```
+
+### Accamulate array values of integer32
+  ```
+  --------------------------------------- benchmark 'arr_i32': 1 tests ---------------------------------------
+  Name (time in ms)        Min     Max    Mean  StdDev  Median     IQR  Outliers       OPS  Rounds  Iterations
+  ------------------------------------------------------------------------------------------------------------
+  test_sum_arr_i32      4.2611  4.4810  4.3450  0.0814  4.3310  0.0625       2;1  230.1495       5         100
+  ------------------------------------------------------------------------------------------------------------
+
+  ---------------------------------------- benchmark 'arr_i32_simd': 1 tests -----------------------------------------
+  Name (time in us)            Min     Max    Mean  StdDev  Median     IQR  Outliers  OPS (Kops/s)  Rounds  Iterations
+  --------------------------------------------------------------------------------------------------------------------
+  test_sum_arr_i32_simd     1.1802  1.2003  1.1903  0.0071  1.1903  0.0051       2;0      840.1472       5      100000
+  --------------------------------------------------------------------------------------------------------------------
+
+  ---------------------------------------- benchmark 'numpy': 1 tests ----------------------------------------
+  Name (time in ms)        Min     Max    Mean  StdDev  Median     IQR  Outliers       OPS  Rounds  Iterations
+  ------------------------------------------------------------------------------------------------------------
+  test_numpy_sum        7.6939  7.8477  7.7710  0.0544  7.7710  0.0387       2;0  128.6840       5          13
+  ------------------------------------------------------------------------------------------------------------
+
+  Legend:
+    Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
+    OPS: Operations Per Second, computed as 1 / Mean
+  ```
 
 ## Benchmarks (Rust)
-```
-Array accumulation      time:   [15.509 µs 15.532 µs 15.575 µs]
-Found 11 outliers among 100 measurements (11.00%)
-  1 (1.00%) low mild
-  3 (3.00%) high mild
-  7 (7.00%) high severe
-
-Array accumulation with SIMD instructions
-                        time:   [77.083 ns 77.499 ns 78.264 ns]
-Found 9 outliers among 100 measurements (9.00%)
-  2 (2.00%) high mild
-  7 (7.00%) high severe
-```
+
+### Accamulate array values of integer32
+  ```
+  Array accumulation      time:   [15.509 µs 15.532 µs 15.575 µs]
+  Found 11 outliers among 100 measurements (11.00%)
+    1 (1.00%) low mild
+    3 (3.00%) high mild
+    7 (7.00%) high severe
+
+  Array accumulation with SIMD instructions
+                          time:   [77.083 ns 77.499 ns 78.264 ns]
+  Found 9 outliers among 100 measurements (9.00%)
+    2 (2.00%) high mild
+    7 (7.00%) high severe
+  ```
 
 ## Roadmap