REF: more greppable names for ujson functions (pandas-dev#54202)

* REF: more greppable names for ujson functions

* update pyi file

Author: jbrockmendel

pandas/_libs/json.pyi

@@ -3,7 +3,7 @@ from typing import (
     Callable,
 )
 
-def dumps(
+def ujson_dumps(
     obj: Any,
     ensure_ascii: bool = ...,
     double_precision: int = ...,
@@ -14,7 +14,7 @@ def dumps(
     default_handler: None
     | Callable[[Any], str | float | bool | list | dict | None] = ...,
 ) -> str: ...
-def loads(
+def ujson_loads(
     s: str,
     precise_float: bool = ...,
     numpy: bool = ...,

pandas/_libs/src/vendored/ujson/python/ujson.c

@@ -54,14 +54,9 @@ PyObject *JSONToObj(PyObject *self, PyObject *args, PyObject *kwargs);
     "encode_html_chars=True to encode < > & as unicode escape sequences."
 
 static PyMethodDef ujsonMethods[] = {
-    {"encode", (PyCFunction)objToJSON, METH_VARARGS | METH_KEYWORDS,
+    {"ujson_dumps", (PyCFunction)objToJSON, METH_VARARGS | METH_KEYWORDS,
      "Converts arbitrary object recursively into JSON. " ENCODER_HELP_TEXT},
-    {"decode", (PyCFunction)JSONToObj, METH_VARARGS | METH_KEYWORDS,
-     "Converts JSON as string to dict object structure. Use precise_float=True "
-     "to use high precision float decoder."},
-    {"dumps", (PyCFunction)objToJSON, METH_VARARGS | METH_KEYWORDS,
-     "Converts arbitrary object recursively into JSON. " ENCODER_HELP_TEXT},
-    {"loads", (PyCFunction)JSONToObj, METH_VARARGS | METH_KEYWORDS,
+    {"ujson_loads", (PyCFunction)JSONToObj, METH_VARARGS | METH_KEYWORDS,
      "Converts JSON as string to dict object structure. Use precise_float=True "
      "to use high precision float decoder."},
     {NULL, NULL, 0, NULL} /* Sentinel */

pandas/io/excel/_odswriter.py

@@ -247,7 +247,7 @@ def _process_style(self, style: dict[str, Any]) -> str:
 
         if style is None:
             return None
-        style_key = json.dumps(style)
+        style_key = json.ujson_dumps(style)
         if style_key in self._style_dict:
             return self._style_dict[style_key]
         name = f"pd{len(self._style_dict)+1}"

pandas/io/excel/_xlsxwriter.py

@@ -261,7 +261,7 @@ def _write_cells(
         for cell in cells:
             val, fmt = self._value_with_fmt(cell.val)
 
-            stylekey = json.dumps(cell.style)
+            stylekey = json.ujson_dumps(cell.style)
             if fmt:
                 stylekey += fmt
 

pandas/io/json/__init__.py

@@ -1,8 +1,8 @@
 from pandas.io.json._json import (
-    dumps,
-    loads,
     read_json,
     to_json,
+    ujson_dumps as dumps,
+    ujson_loads as loads,
 )
 from pandas.io.json._table_schema import build_table_schema
 

pandas/io/json/_json.py

@@ -22,8 +22,8 @@
 
 from pandas._libs import lib
 from pandas._libs.json import (
-    dumps,
-    loads,
+    ujson_dumps,
+    ujson_loads,
 )
 from pandas._libs.tslibs import iNaT
 from pandas.compat._optional import import_optional_dependency
@@ -255,7 +255,7 @@ def _format_axes(self):
 
     def write(self) -> str:
         iso_dates = self.date_format == "iso"
-        return dumps(
+        return ujson_dumps(
             self.obj_to_write,
             orient=self.orient,
             double_precision=self.double_precision,
@@ -1327,7 +1327,7 @@ class SeriesParser(Parser):
     _split_keys = ("name", "index", "data")
 
     def _parse(self) -> None:
-        data = loads(self.json, precise_float=self.precise_float)
+        data = ujson_loads(self.json, precise_float=self.precise_float)
 
         if self.orient == "split":
             decoded = {str(k): v for k, v in data.items()}
@@ -1356,12 +1356,12 @@ def _parse(self) -> None:
 
         if orient == "columns":
             self.obj = DataFrame(
-                loads(json, precise_float=self.precise_float), dtype=None
+                ujson_loads(json, precise_float=self.precise_float), dtype=None
             )
         elif orient == "split":
             decoded = {
                 str(k): v
-                for k, v in loads(json, precise_float=self.precise_float).items()
+                for k, v in ujson_loads(json, precise_float=self.precise_float).items()
             }
             self.check_keys_split(decoded)
             orig_names = [
@@ -1375,15 +1375,15 @@ def _parse(self) -> None:
             self.obj = DataFrame(dtype=None, **decoded)
         elif orient == "index":
             self.obj = DataFrame.from_dict(
-                loads(json, precise_float=self.precise_float),
+                ujson_loads(json, precise_float=self.precise_float),
                 dtype=None,
                 orient="index",
             )
         elif orient == "table":
             self.obj = parse_table_schema(json, precise_float=self.precise_float)
         else:
             self.obj = DataFrame(
-                loads(json, precise_float=self.precise_float), dtype=None
+                ujson_loads(json, precise_float=self.precise_float), dtype=None
             )
 
     def _process_converter(self, f, filt=None) -> None:

pandas/io/json/_table_schema.py

@@ -13,7 +13,7 @@
 import warnings
 
 from pandas._libs import lib
-from pandas._libs.json import loads
+from pandas._libs.json import ujson_loads
 from pandas._libs.tslibs import timezones
 from pandas.util._exceptions import find_stack_level
 
@@ -352,7 +352,7 @@ def parse_table_schema(json, precise_float: bool) -> DataFrame:
     build_table_schema : Inverse function.
     pandas.read_json
     """
-    table = loads(json, precise_float=precise_float)
+    table = ujson_loads(json, precise_float=precise_float)
     col_order = [field["name"] for field in table["schema"]["fields"]]
     df = DataFrame(table["data"], columns=col_order)[col_order]