# rsv.py
# Description
A module for reading and writing an [RSV](https://github.com/Stenway/RSV-Challenge) document file.
# Using
```python
import rsv
sample_data = [
["Name", "Description", None],
[],
[None, ":)"]
]
with open("document.rsv", "wb") as file:
rsv.dump(sample_data, file)
# The first load method.
# It is the most efficient and suitable for working even with large arrays.
# Since it loads data from the file sequentially when loading.
with open("document.rsv", "rb") as file:
data = rsv.load(file)
# The second load method.
# It is suitable for working with small arrays.
# Since it loads the entire file into memory at once and only then parses it.
with open("document.rsv", "rb") as file:
data = rsv.load_split(file)
# The third load method.
# This is the most efficient possible method suitable for working with any arrays of any size.
# Loads the file line by line, the use of `for` is required.
with open("document.rsv", "rb") as file:
lines = []
for line in file.load_generator():
# And here you can do whatever you want...
lines.append(line)
```
## Notes
It is also worth noting that no one forbids you to use the `Encoder`/`Decoder` directly:
```python
import rsv
rsv_encoder = rsv.Encoder(open("document.rsv", "wb"))
rsv_decoder = rsv.Decoder(open("document.rsv", "rb"))
```
Raw data
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