чуть подредактировал

tests/test_core.py

@@ -1,64 +1,78 @@
-from pathlib import Path
+"""Tests for core numeric analysis."""
 
+from pathlib import Path
 import pytest
 
-from text_analyzer.core import analyze_file
+from numstats.core import analyze_numbers, read_numbers
 
 
-def test_basic_analysis(tmp_path: Path) -> None:
-    test_file = tmp_path / "test.txt"
-    test_file.write_text("hello world\nhello python")
-
-    res = analyze_file(test_file)
-    assert res["lines"] == 2
-    assert res["words"] == 4
-    assert res["top_words"] == [("hello", 2), ("world", 1), ("python", 1)]
+def test_read_numbers_basic(tmp_path: Path) -> None:
+    f = tmp_path / "data.txt"
+    f.write_text("1\n2.5\n3\n")
+    nums = read_numbers(f)
+    assert nums == [1.0, 2.5, 3.0]
 
 
-def test_file_not_found() -> None:
+def test_read_numbers_skips_non_numeric(tmp_path: Path) -> None:
+    f = tmp_path / "bad.txt"
+    f.write_text("1\na\n2\n")
+    nums = read_numbers(f)
+    assert nums == [1.0, 2.0]
+
+
+def test_read_numbers_min_filter(tmp_path: Path) -> None:
+    f = tmp_path / "filter.txt"
+    f.write_text("1\n5\n10\n")
+    nums = read_numbers(f, min_value=5)
+    assert nums == [5.0, 10.0]
+
+
+def test_read_numbers_file_not_found() -> None:
     with pytest.raises(FileNotFoundError):
-        analyze_file(Path("non_existent_file_123.txt"))
+        read_numbers(Path("nonexistent.txt"))
 
 
-def test_empty_file(tmp_path: Path) -> None:
-    test_file = tmp_path / "empty.txt"
-    test_file.write_text("")
-
-    res = analyze_file(test_file)
-    assert res["lines"] == 0
-    assert res["words"] == 0
-    assert res["top_words"] == []
+def test_analyze_numbers_empty(tmp_path: Path) -> None:
+    f = tmp_path / "empty.txt"
+    f.write_text("")
+    res = analyze_numbers(f)
+    assert res["count"] == 0
+    assert res["mean"] == 0.0
+    assert res["min"] is None
+    assert res["max"] is None
+    assert res["top"] == []
 
 
 @pytest.mark.parametrize(
-    "min_len,expected_words",
+    "content, top_n, min_len, expected_count, expected_sum, expected_mean, expected_top",
     [
-        (1, 4),
-        (3, 2),
-        (4, 1),
+        ("1\n2\n3\n", 2, 0, 3, 6.0, 2.0, [3.0, 2.0]),
+        ("-5\n0\n10\n", 1, 0, 3, 5.0, 5.0/3, [10.0]),
+        ("1\n2\n3\n4\n", 3, 2, 3, 9.0, 3.0, [4.0, 3.0, 2.0]),
+        ("", 5, 0, 0, 0.0, 0.0, []),
     ],
 )
-def test_min_length_filter(tmp_path: Path, min_len: int, expected_words: int) -> None:
-    test_file = tmp_path / "filter.txt"
-    test_file.write_text("a ab abc abcd")
-
-    res = analyze_file(test_file, min_len=min_len)
-    assert res["words"] == expected_words
+def test_analyze_numbers_parametrized(
+    tmp_path: Path,
+    content: str,
+    top_n: int,
+    min_len: int,
+    expected_count: int,
+    expected_sum: float,
+    expected_mean: float,
+    expected_top: list,
+) -> None:
+    f = tmp_path / "param.txt"
+    f.write_text(content)
+    res = analyze_numbers(f, top_n=top_n, min_len=min_len)
+    assert res["count"] == expected_count
+    assert abs(res["sum"] - expected_sum) < 1e-9
+    assert abs(res["mean"] - expected_mean) < 1e-9
+    assert res["top"] == expected_top
 
 
-def test_top_n_param(tmp_path: Path) -> None:
-    test_file = tmp_path / "top.txt"
-    test_file.write_text("one two two three three three")
-
-    res = analyze_file(test_file, top_n=2)
-    top_words = res["top_words"]
-    assert isinstance(top_words, list)
-    assert len(top_words) == 2
-
-
-def test_punctuation_stripping(tmp_path: Path) -> None:
-    test_file = tmp_path / "punct.txt"
-    test_file.write_text("hello, world! hello...")
-
-    res = analyze_file(test_file)
-    assert res["top_words"] == [("hello", 2), ("world", 1)]
+def test_analyze_numbers_encoding(tmp_path: Path) -> None:
+    f = tmp_path / "utf16.txt"
+    f.write_text("1\n2\n3\n", encoding="utf-16")
+    res = analyze_numbers(f, encoding="utf-16")
+    assert res["count"] == 3