PERF: avoid try parse as int64 if user specified uint64

Author: SandroCasagrande

pandas/_libs/parsers.pyx

@@ -1176,20 +1176,27 @@ cdef class TextReader:
             return result, na_count
 
         elif is_integer_dtype(dtype):
-            try:
-                result, na_count = _try_int64(self.parser, i, start,
-                                              end, na_filter, na_hashset)
-                if user_dtype and na_count is not None:
-                    if na_count > 0:
-                        raise ValueError(f"Integer column has NA values in column {i}")
-            except OverflowError as err:
-                if user_dtype and dtype == 'int64':
-                    raise err
+            do_try_uint64 = False
+            if user_dtype and dtype == 'uint64':
+                do_try_uint64 = True
+            else:
+                try:
+                    result, na_count = _try_int64(self.parser, i, start,
+                                                  end, na_filter, na_hashset)
+                    if user_dtype and na_count is not None:
+                        if na_count > 0:
+                            raise ValueError(f"Integer column has NA values in column {i}")
+                except OverflowError as err:
+                    if user_dtype and dtype == 'int64':
+                        raise err
+                    do_try_uint64 = True
+
+            if do_try_uint64:
                 result = _try_uint64(self.parser, i, start, end,
                                      na_filter, na_hashset)
                 na_count = 0
 
-            if result is not None and dtype != 'int64':
+            if result is not None and dtype not in ('int64', 'uint64'):
                 casted = result.astype(dtype)
                 if (casted == result).all():
                     result = casted