From cba75a3bfeb2cf99f914961d57561a876fc3d189 Mon Sep 17 00:00:00 2001
From: Paul Gauthier <aider@paulg.org>
Date: Thu, 29 Jun 2023 22:08:09 -0700
Subject: [PATCH] prettier

---
 benchmark/benchmark.py | 40 +++++++++++++++++++++++++++++++++++-----
 1 file changed, 35 insertions(+), 5 deletions(-)

diff --git a/benchmark/benchmark.py b/benchmark/benchmark.py
index 599502372..39e8d23a1 100755
--- a/benchmark/benchmark.py
+++ b/benchmark/benchmark.py
@@ -17,6 +17,7 @@ from typing import List
 import git
 import lox
 import matplotlib.pyplot as plt
+import numpy as np
 import pandas as pd
 import prompts
 import typer
@@ -68,12 +69,41 @@ def show_stats(dirnames):
     # df_grouped1 = df.groupby(["model", "edit_format"])["pass_rate_1"].mean()
     df_grouped2 = df.groupby(["model", "edit_format"])["pass_rate_2"].mean()
 
-    fig, ax = plt.subplots(figsize=(10, 6))
-    color_map = {"edit_format1": "blue", "edit_format2": "green", "edit_format3": "red"}  # Define your color map here
-    df_grouped2.unstack().plot(kind="barh", ax=ax, color=[color_map[i] for i in df_grouped2.index])
+    dump(df_grouped2.unstack())
 
-    ax.set_xlabel("Percent of passed unittests")
-    ax.set_ylabel("Model")
+    plt.rcParams["hatch.linewidth"] = 0.5
+    plt.rcParams["hatch.color"] = "#444444"
+
+    fig, ax = plt.subplots(figsize=(10, 6))
+    """
+    colors = ["#007BFF", "#89CFF0", "#008000", "#32CD32"]
+    df_grouped2.unstack().plot(
+        kind="bar",
+        ax=ax,
+        color= colors,
+    )
+    """
+    df = df_grouped2.unstack()
+    num_models, num_formats = df.shape
+    dump(num_models)
+    dump(num_formats)
+    pos = np.array(range(num_models))
+    width = 0.8 / num_formats
+
+    formats = df.columns
+    models = df.index
+
+    for i, fmt in enumerate(formats):
+        dump(df[fmt])
+        color = "#b3e6a8" if "diff" in fmt else "#b3d1e6"
+        hatch = "///" if "func" in fmt else ""
+        ax.bar(pos + i * width, df[fmt], width * 0.95, label=fmt, color=color, hatch=hatch)
+
+    ax.set_xticks([p + 1.5 * width for p in pos])
+    ax.set_xticklabels(models)
+
+    ax.set_ylabel("Percent of passed unittests")
+    # ax.set_xlabel("Model")
     ax.set_title("Code editing success rate by model & edit format")
     ax.legend(title="Edit Format")