init project

Evaluation/MBPP/human_eval/data.py

@@ -0,0 +1,49 @@
+from typing import Iterable, Dict
+import gzip
+import json
+import os
+
+
+ROOT = os.path.dirname(os.path.abspath(__file__))
+HUMAN_EVAL = os.path.join(ROOT, "..", "data", "HumanEval.jsonl.gz")
+
+
+def read_problems(evalset_file: str = HUMAN_EVAL) -> Dict[str, Dict]:
+    return {task["task_id"]: task for task in stream_jsonl(evalset_file)}
+
+
+def stream_jsonl(filename: str) -> Iterable[Dict]:
+    """
+    Parses each jsonl line and yields it as a dictionary
+    """
+    if filename.endswith(".gz"):
+        with open(filename, "rb") as gzfp:
+            with gzip.open(gzfp, 'rt') as fp:
+                for line in fp:
+                    if any(not x.isspace() for x in line):
+                        yield json.loads(line)
+    else:
+        with open(filename, "r", encoding="utf-8") as fp:
+            for line in fp:
+                if any(not x.isspace() for x in line):
+                    yield json.loads(line)
+
+
+def write_jsonl(filename: str, data: Iterable[Dict], append: bool = False):
+    """
+    Writes an iterable of dictionaries to jsonl
+    """
+    if append:
+        mode = 'ab'
+    else:
+        mode = 'wb'
+    filename = os.path.expanduser(filename)
+    if filename.endswith(".gz"):
+        with open(filename, mode) as fp:
+            with gzip.GzipFile(fileobj=fp, mode='wb') as gzfp:
+                for x in data:
+                    gzfp.write((json.dumps(x) + "\n").encode('utf-8'))
+    else:
+        with open(filename, mode) as fp:
+            for x in data:
+                fp.write((json.dumps(x) + "\n").encode('utf-8'))