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Merge pull request #396 from omahs/patch-2 

fix: typos
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George Kadianakis 2024-02-22 16:27:38 +02:00 committed by GitHub
parent 0bbededd08 0d3708cc42
commit 4f982ae1f9
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3 changed files with 6 additions and 6 deletions
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2
bindings/node.js/README.md
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@ -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]

4
fuzz/README.md
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@ -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
@ -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
src/PROFILE.md
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@ -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:
```
@ -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
```
@ -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.