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fix: typos #396

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merged 3 commits into from
Feb 22, 2024
Merged

fix: typos #396

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6ccdc57
fix typo
omahs Feb 22, 2024
c5305fe
fix typos
omahs Feb 22, 2024
0d3708c
fix typos
omahs Feb 22, 2024
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2 changes: 1 addition & 1 deletion bindings/node.js/README.md
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Expand Up @@ -152,7 +152,7 @@ verifyBlobKzgProof(

```ts
/**
* Given an array of blobs and their proofs, verify that they corresponds to
* Given an array of blobs and their proofs, verify that they correspond to
* their provided commitment.
*
* Note: blobs[0] relates to commitmentBytes[0] and proofBytes[0]
Expand Down
4 changes: 2 additions & 2 deletions fuzz/README.md
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Expand Up @@ -11,7 +11,7 @@ means it should be pretty easy.
## Dependencies

This is expected to run on Linux/macOS, it is not expected to work on Windows.
In additional to `build-essentials` and `clang`, this requires `llvm` be
In addition to `build-essentials` and `clang`, this requires `llvm` to be
installed:

### Linux
Expand Down Expand Up @@ -113,4 +113,4 @@ its corpus with findings from other threads.

If there is a crash or timeout, the fuzzer will write a file to the target
directory containing the input data associated with that crash/timeout. If this
happens, please report the finding via an issue on GitHub.
happens, please report the finding via an issue on GitHub.
6 changes: 3 additions & 3 deletions src/PROFILE.md
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Expand Up @@ -6,7 +6,7 @@ Performance Tools) for profiling. Note, we also considered using
comparison. This will not tell you how long (wall clock time) each function
took, but it will help you determine which functions are the most expensive.

## Prequisities
## Prerequisites

On Linux (Debian), you need to install:
```
Expand All @@ -33,7 +33,7 @@ human-friendly graph that generated from that profiling data.

#### Errors on macOS

Note, on macOS there may a lot of "errors" like:
Note, on macOS there may be a lot of "errors" like:
```
otool-classic: can't open file: /usr/lib/libc++.1.dylib
```
Expand Down Expand Up @@ -78,4 +78,4 @@ my_func 189 (0.6%) of 28758 (96.8%)
* 189 is the number of profiling samples in this function.
* 0.6% is the percentage of profiling samples in the functions.
* 28758 is the number of profiling samples in this function and its callees.
* 96.8% is the percentage of profiling samples in this function and its callees.
* 96.8% is the percentage of profiling samples in this function and its callees.
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