init

transformers/utils/process_test_artifacts.py

@@ -0,0 +1,75 @@
+# coding=utf-8
+# Copyright 2024 The HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+
+This helper computes the "ideal" number of nodes to use in circle CI.
+For each job, we compute this parameter and pass it to the `generated_config.yaml`.
+"""
+
+import json
+import math
+import os
+
+
+MAX_PARALLEL_NODES = 8  # TODO create a mapping!
+AVERAGE_TESTS_PER_NODES = 5
+
+
+def count_lines(filepath):
+    """Count the number of lines in a file."""
+    try:
+        with open(filepath, "r") as f:
+            return len(f.read().split("\n"))
+    except FileNotFoundError:
+        return 0
+
+
+def compute_parallel_nodes(line_count, max_tests_per_node=10):
+    """Compute the number of parallel nodes required."""
+    num_nodes = math.ceil(line_count / AVERAGE_TESTS_PER_NODES)
+    if line_count < 4:
+        return 1
+    return min(MAX_PARALLEL_NODES, num_nodes)
+
+
+def process_artifacts(input_file, output_file):
+    # Read the JSON data from the input file
+    with open(input_file, "r") as f:
+        data = json.load(f)
+
+    # Process items and build the new JSON structure
+    transformed_data = {}
+    for item in data.get("items", []):
+        if "test_list" in item["path"]:
+            key = os.path.splitext(os.path.basename(item["path"]))[0]
+            transformed_data[key] = item["url"]
+            parallel_key = key.split("_test")[0] + "_parallelism"
+            file_path = os.path.join("test_preparation", f"{key}.txt")
+            line_count = count_lines(file_path)
+            transformed_data[parallel_key] = compute_parallel_nodes(line_count)
+
+    # Remove the "generated_config" key if it exists
+    if "generated_config" in transformed_data:
+        del transformed_data["generated_config"]
+
+    # Write the transformed data to the output file
+    with open(output_file, "w") as f:
+        json.dump(transformed_data, f, indent=2)
+
+
+if __name__ == "__main__":
+    input_file = "test_preparation/artifacts.json"
+    output_file = "test_preparation/transformed_artifacts.json"
+    process_artifacts(input_file, output_file)