update mojo_csv to 1.3 (#148)

* mojo_csv

* Update recipe.yaml for CI

* unquote for ci

* update test

* Update source git URL

* change tests syntax

* verify 25.3.0 and update test

* update test

* update csv path

* update test to cwd

* update build and versioning

* add logo

* update readme

* update mojo_csv to 1.3

---------

Co-authored-by: Josh S Wilkinson <[email protected]>
Co-authored-by: Caroline Frasca <[email protected]>

Author: 3 people

recipes/mojo_csv/README.md

@@ -10,7 +10,14 @@ Csv parsing library written in pure Mojo
 
 ### usage
 
-Add the Modular community channel (https://repo.prefix.dev/modular-community) to your mojoproject.toml file or pixi.toml file in the channels section.
+Add the Modular community channel (https://repo.prefix.dev/modular-community) to your pixi.toml file in the channels section.
+
+```title:pixi.toml
+channels = ["conda-forge", "https://conda.modular.com/max", "https://repo.prefix.dev/modular-community"]
+```
+
+`pixi add mojo_csv`
+
 
 ##### Basic Usage
 
@@ -38,6 +45,47 @@ fn main():
         print(reader[i])
 ```
 
+#### BETA
+```mojo
+ThreadedCsvReader(
+    file_path: Path,
+    delimiter: String = ",",
+    quotation_mark: String = '"',
+    num_threads: Int = 0 # 0 = use all available cores
+)
+```
+
+### Example 1: Default (All Cores)
+
+```mojo
+var reader = ThreadedCsvReader(Path("large_file.csv"))
+// Uses all 16 cores on a 16-core system
+```
+
+### Example 2: Custom Thread Count
+
+```mojo
+var reader = ThreadedCsvReader(Path("data.csv"), num_threads=4)
+// Uses exactly 4 threads
+```
+
+### Example 3: Single-threaded
+
+```mojo
+var reader = ThreadedCsvReader(Path("data.csv"), num_threads=1)
+// Forces single-threaded execution (same as CsvReader)
+```
+
+### Example 4: Custom Delimiter
+
+````mojo
+var reader = ThreadedCsvReader(
+    Path("pipe_separated.csv"),
+    delimiter="|",
+    num_threads=8
+)
+
+
 ### Attributes
 
 ```mojo
@@ -48,6 +96,7 @@ reader.row_count : Int  # total number of rows T->B
 reader.column_count : Int # total number of columns L->R
 reader.elements : List[String] # all delimited elements
 reader.length : Int # total number of elements
+
 ```
 
 ##### Indexing
@@ -57,3 +106,57 @@ currently the array is only 1D, so indexing is fairly manual.
 ```Mojo
 reader[0] # first element
 ```
+
+
+### Performance
+
+- average times over 1k iterations
+- [email protected] (peak clock)
+- uncompiled
+- single-threaded
+
+micro file benchmark (3 rows)
+mini (100 rows)
+small (1k rows)
+medium file benchmark (100k rows)
+large file benchmark (2m rows)
+
+```log
+✨ Pixi task (bench): mojo bench.mojo
+running benchmark for micro csv:
+average time in ms for micro file:
+0.007699
+-------------------------
+running benchmark for mini csv:
+average time in ms for mini file:
+0.241136
+-------------------------
+running benchmark for small csv:
+average time in ms for small file:
+1.388513
+-------------------------
+running benchmark for medium csv:
+average time in ms for medium file:
+121.217188
+-------------------------
+running benchmark for large csv:
+average time in ms for large file:
+3582.876541
+```
+
+Performance comparison on various file sizes (average of multiple runs):
+
+| File Size    | Single-threaded | Multi-threaded | Speedup |
+| ------------ | --------------- | -------------- | ------- |
+| 1,000 rows   | 1.42ms          | 1.30ms         | 1.09x   |
+| 100,000 rows | 125ms           | 105ms          | 1.19x   |
+
+_Tested on AMD 7950x (16 cores) @ 5.8GHz_
+
+## Future Improvements
+
+- [ ] SIMD optimization within each thread
+- [ ] Async Chunking
+- [ ] Streaming support for very large files
+- [ ] Memory pool for reduced allocations
+- [ ] Progress callbacks for long-running operation

recipes/mojo_csv/recipe.yaml

@@ -1,13 +1,15 @@
 context:
-  version: 1.2.1
+  version: 1.3.0
+
 
 package:
   name: "mojo_csv"
   version: ${{ version }}
 
 source:
   - git: https://github.com/Phelsong/mojo_csv.git
-    rev: c0c5b4b1fd7d7c4db1c504d1104b38f10ef9ff70
+    rev: 4d6643f27fe15e86263cdc66fd383cf345811228
+
 
 build:
   number: 0