TEST-modin-project#2297: Internal parameters of read_csv

Signed-off-by: Alexander Myskov <alexander.myskov@intel.com>

modin/pandas/test/test_io.py

@@ -1023,6 +1023,74 @@ def test_read_csv_error_handling(
             error_bad_lines=error_bad_lines,
         )
 
+    # Internal parameters tests
+    @pytest.mark.parametrize("use_str_data", [True, False])
+    @pytest.mark.parametrize("engine", [None, "python", "c"])
+    @pytest.mark.parametrize("delimiter", [",", " "])
+    @pytest.mark.parametrize("delim_whitespace", [True, False])
+    @pytest.mark.parametrize("low_memory", [True, False])
+    @pytest.mark.parametrize("memory_map", [True, False])
+    @pytest.mark.parametrize("float_precision", [None, "high", "round_trip"])
+    def test_read_csv_internal(
+        self,
+        make_csv_file,
+        use_str_data,
+        engine,
+        delimiter,
+        delim_whitespace,
+        low_memory,
+        memory_map,
+        float_precision,
+    ):
+
+        case_with_TypeError_exc = (
+            engine == "python"
+            and delimiter == ","
+            and delim_whitespace
+            and low_memory
+            and memory_map
+            and float_precision is None
+        )
+
+        raising_exceptions = io_ops_bad_exc  # default value
+        if case_with_TypeError_exc:
+            raising_exceptions = list(io_ops_bad_exc)
+            raising_exceptions.remove(TypeError)
+
+        kwargs = {
+            "engine": engine,
+            "delimiter": delimiter,
+            "delim_whitespace": delim_whitespace,
+            "low_memory": low_memory,
+            "memory_map": memory_map,
+            "float_precision": float_precision,
+        }
+
+        unique_filename = get_unique_filename()
+
+        if use_str_data:
+            str_delim_whitespaces = (
+                "col1 col2  col3   col4\n" "5 6   7  8\n" "9  10    11 12\n"
+            )
+            eval_io_from_str(
+                str_delim_whitespaces,
+                unique_filename,
+                raising_exceptions=raising_exceptions,
+                **kwargs,
+            )
+        else:
+            make_csv_file(
+                filename=unique_filename,
+                delimiter=delimiter,
+            )
+
+            eval_io(
+                filepath_or_buffer=unique_filename,
+                fn_name="read_csv",
+                raising_exceptions=raising_exceptions,
+                **kwargs,
+            )
+
 
 def test_from_parquet(make_parquet_file):
     make_parquet_file(NROWS)