mirror of
https://github.com/rzmk/czv.git
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refactor: use czv in czv-python
- Add `file_path` for czv-python count operations - Refactor tests based on file path instead of data - Use thiserror in czv - Update examples to reflect changes
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parent
9799ab694b
commit
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14 changed files with 79 additions and 55 deletions
2
Cargo.lock
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2
Cargo.lock
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@ -223,6 +223,7 @@ dependencies = [
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"anyhow",
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"criterion",
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"csv",
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"thiserror",
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"typed-builder",
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]
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@ -232,6 +233,7 @@ version = "0.0.0"
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dependencies = [
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"anyhow",
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"csv",
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"czv",
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"pyo3",
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"thiserror",
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]
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0
LICENSE
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0
LICENSE
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@ -67,7 +67,7 @@ apple,2.50
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banana,3.00
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strawberry,1.50"""
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output = czv.row_count(data, False)
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output = czv.row_count(file_data=data)
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print(output)
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```
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@ -12,5 +12,6 @@ crate-type = ["cdylib", "rlib"]
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[dependencies]
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anyhow = "1.0.86"
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csv = "1.3.0"
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czv = { path = "../czv" }
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pyo3 = { version = "0.21.2", features = ["extension-module"] }
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thiserror = "1.0.61"
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@ -1,24 +1,26 @@
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# czv-python
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Python library for [czv](https://github.com/rzmk/czv). czv is a library of utility functions for CSV-related data engineering and analysis tasks.
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Python library for [czv](https://github.com/rzmk/czv). czv is a library of CSV-related operations for data engineering and analysis tasks.
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- For a Rust library see [czv](https://github.com/rzmk/czv/tree/main/czv).
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- For a WebAssembly (JavaScript, TypeScript) library see [czv-wasm](https://github.com/rzmk/czv/tree/main/czv-wasm).
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## Installation and example
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To install `czv`, run:
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```bash
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pip install czv
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```
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Let's say we want to print the total number of rows in a 4x3 CSV file `fruits.csv` including the header row:
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```python
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import czv
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data = """fruits,price
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apple,2.50
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banana,3.00
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strawberry,1.50"""
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output = czv.row_count(file_path="fruits.csv", include_header_row=True)
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output = czv.row_count(data, False)
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print(output)
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print(output) # 4
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```
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## Development
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@ -14,12 +14,7 @@ pip install czv
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```python
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from czv import row_count
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data = \"""fruits,price
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apple,2.50
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banana,3.00
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strawberry,1.50\"""
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output = row_count(data, False)
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output = row_count(file_path="fruits.csv")
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print(output)
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```
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@ -27,20 +22,23 @@ print(output)
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"""
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from typing import Optional
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from pathlib import Path
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def row_count(file_data: str, include_header_row: Optional[bool]) -> int:
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def row_count(file_path: Optional[Path], file_data: Optional[str], include_header_row: Optional[bool]) -> int:
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"""Returns a count of the total number of rows.
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## Arguments
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* `file_path` - CSV file path.
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* `file_data` - CSV file data.
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* `include_header_row` - Specify whether to include the header row (first row) in the row count. Default is false.
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"""
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def column_count(file_data: str) -> int:
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def column_count(file_path: Optional[Path], file_data: Optional[str]) -> int:
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"""Returns a count of the total number of columns (fields).
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## Arguments
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* `file_path` - CSV file path.
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* `file_data` - CSV file data.
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"""
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@ -5,6 +5,6 @@ apple,2.50
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banana,3.00
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strawberry,1.50"""
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output = czv.row_count(data, False)
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output = czv.row_count(file_data=data, include_header_row=True)
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print(output)
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print(output) # 4
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@ -1,33 +1,21 @@
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use crate::Result;
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use csv::ReaderBuilder;
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use pyo3::pyfunction;
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use std::path::PathBuf;
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/// Returns a count of the total number of rows.
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///
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/// ## Arguments
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///
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/// * `file_data` - CSV file data.
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/// * `include_header_row` - Specify whether to include the header row (first row) in the row count.
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#[pyfunction]
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pub fn row_count(file_data: String, include_header_row: Option<bool>) -> Result<usize> {
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let mut rdr = ReaderBuilder::new();
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rdr.has_headers(!include_header_row.unwrap_or(false));
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return Ok(rdr.from_reader(file_data.as_bytes()).records().count());
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pub fn row_count(
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file_path: Option<PathBuf>,
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file_data: Option<String>,
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include_header_row: Option<bool>,
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) -> Result<usize> {
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Ok(czv::count::row_count(
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file_path,
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file_data,
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include_header_row.unwrap_or(false),
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)?)
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}
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/// Returns a count of the total number of columns (fields).
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///
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/// ## Arguments
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///
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/// * `file_data` - CSV file data.
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#[pyfunction]
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pub fn column_count(file_data: Option<String>) -> Result<usize> {
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let rdr = ReaderBuilder::new();
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if let Some(file_data) = file_data {
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return Ok(rdr.from_reader(file_data.as_bytes()).headers()?.len());
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} else {
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bail!("Could not determine a file path or file data for column_count_builder.");
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}
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pub fn column_count(file_path: Option<PathBuf>, file_data: Option<String>) -> Result<usize> {
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Ok(czv::count::column_count(file_path, file_data)?)
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}
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@ -1,3 +1,4 @@
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use ::czv::CzvError as OGError;
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use pyo3::prelude::*;
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// Error-handling helpers
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@ -5,6 +6,12 @@ use pyo3::prelude::*;
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#[error("{0}")]
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pub struct CzvError(anyhow::Error);
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impl From<OGError> for CzvError {
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fn from(value: OGError) -> Self {
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value.into()
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}
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}
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impl From<pyo3::PyErr> for CzvError {
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fn from(value: pyo3::PyErr) -> Self {
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value.into()
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@ -10,7 +10,7 @@ class TestCountFunc:
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def test_count(self, file_name, expected):
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"""Count the total number of non-header rows."""
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result = czv.row_count(test_data[file_name].read_text())
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result = czv.row_count(file_path=test_data[file_name])
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assert result == expected
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@pytest.mark.parametrize(
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@ -20,5 +20,5 @@ class TestCountFunc:
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def test_include_header_row(self, file_name, expected):
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"""Count the total number of rows including the header row."""
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result = czv.row_count(test_data[file_name].read_text(), include_header_row=True)
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result = czv.row_count(file_path=test_data[file_name], include_header_row=True)
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assert result == expected
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@ -1,6 +1,9 @@
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# czv-wasm
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WebAssembly (JavaScript and TypeScript) library for [czv](https://github.com/rzmk/czv). czv is a library of utility functions for CSV-related data engineering and analysis tasks.
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WebAssembly (JavaScript and TypeScript) library for [czv](https://github.com/rzmk/czv). czv is a library of CSV-related operations for data engineering and analysis tasks.
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- For a Rust library see [czv](https://github.com/rzmk/czv/tree/main/czv).
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- For a Python library see [czv-python](https://github.com/rzmk/czv/tree/main/czv-python).
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## Installation and example
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@ -6,12 +6,13 @@ description = "Rust library for performing CSV-related operations for data engin
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repository = "https://github.com/rzmk/czv"
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edition = "2021"
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license = "MIT OR Apache-2.0"
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keywords = ["csv", "library"]
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keywords = ["csv", "library", "data"]
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categories = ["text-processing"]
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[dependencies]
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anyhow = "1.0.86"
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csv = "1.3.0"
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thiserror = "1.0.61"
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typed-builder = "0.18.2"
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[dev-dependencies]
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@ -1,11 +1,12 @@
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# czv
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Rust library for [czv](https://github.com/rzmk/czv). czv is a library of utility functions for CSV-related data engineering and analysis tasks.
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Rust library for [czv](https://github.com/rzmk/czv). czv is a library of CSV-related operations for data engineering and analysis tasks.
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- For a WebAssembly (JavaScript, TypeScript) library see [czv-wasm](https://github.com/rzmk/czv/tree/main/czv-wasm).
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- For a Python library see [czv-python](https://github.com/rzmk/czv/tree/main/czv-python).
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## Usage
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You must have [Rust](https://www.rust-lang.org/tools/install) and Cargo installed (Cargo may be additionally installed when you install Rust with `rustup`).
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To install `czv`, run:
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```bash
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use czv::{count::RowCount, Result};
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fn main() -> Result<()> {
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let data = r#"fruits,price
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let data = "\
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fruits,price
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apple,2.50
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banana,3.00
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strawberry,1.50"#;
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strawberry,1.50
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";
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let output = RowCount::new()
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.file_data(data)
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.include_header_row(true)
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@ -54,3 +57,20 @@ cargo bench
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```
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For benchmarks we use [criterion.rs](https://github.com/bheisler/criterion.rs).
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## License
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Licensed under either of
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- Apache License, Version 2.0
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([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)
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- MIT license
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([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)
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at your option.
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## Contribution
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Unless you explicitly state otherwise, any contribution intentionally submitted
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for inclusion in the work by you, as defined in the Apache-2.0 license, shall be
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dual licensed as above, without any additional terms or conditions.
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@ -32,8 +32,10 @@ pub mod count;
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pub mod slice;
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#[allow(dead_code)]
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#[derive(Debug)]
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pub struct CzvError(anyhow::Error);
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// Error-handling helpers
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#[derive(thiserror::Error, Debug)]
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#[error("{0}")]
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pub struct CzvError(pub anyhow::Error);
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impl From<anyhow::Error> for CzvError {
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fn from(value: anyhow::Error) -> Self {
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