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docs: Fixing Documentation Typos #308

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docs: Fixing Documentation Typos #308

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e952317
docs: typo fix Update transaction-processing.md
mdqst Dec 27, 2024
f78b39b
docs: typo fix Update run.md
mdqst Dec 27, 2024
9d9e65f
docs: typo fix Update onebox-test.md
mdqst Dec 27, 2024
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2 changes: 1 addition & 1 deletion docs/onebox-test.md
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Expand Up @@ -19,7 +19,7 @@ The blockchain node binaries will be compiled or downloaded from github to `test

## Run Tests

Changes to the `tests` folder and run the following command to run all tests:
Change to the `tests` folder and run the following command to run all tests:

```
python test_all.py
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2 changes: 1 addition & 1 deletion docs/run.md
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Expand Up @@ -4,7 +4,7 @@

### Setup Environment

Install dependencies Node.js, yarn, hardhat.
Install the dependencies Node.js, yarn, hardhat.

- Linux

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2 changes: 1 addition & 1 deletion docs/transaction-processing.md
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Expand Up @@ -12,4 +12,4 @@ When an application server with the key-value runtime encounters the commit reco

## Concurrent Assumption

This transaction model assumes that the transaction participants are collaborative and will honestly compose the commit record with the correct content. Although this assumption in a decentralized environment is too strong, it is still achievable for specific applications. For example, for an application like Google Docs, a user normally shares the access to others who can be trusted. In case this assumption cannot hold, the code of the transaction can be stored in the ZeroGravity log and some mechanism of verifiable computation like zero-knowledge proof or hardware with trust execution environment (TEE) can be employed by the transaction executors to detect the validity of the commit record.
This transaction model assumes that the transaction participants are collaborative and will honestly compose the commit record with the correct content. Although this assumption in a decentralized environment is too strong, it is still achievable for specific applications. For example, for an application like Google Docs, a user normally shares the access to others who can be trusted. In case this assumption cannot hold, the code of the transaction can be stored in the ZeroGravity log and some mechanism of verifiable computation like zero-knowledge proof or hardware with trusted execution environment (TEE) can be employed by the transaction executors to detect the validity of the commit record.
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