From 392d09b4717f954eb3eb203c887a4c959692f02e Mon Sep 17 00:00:00 2001
From: Ashwin Srinath <3190405+shwina@users.noreply.github.com>
Date: Mon, 1 May 2023 15:42:40 -0400
Subject: [PATCH] Roll our own generate_string() because mimesis' has gone away
 (#13257)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Starting `mimesis=9.0.0`, the `generate_string` function has become private:

```python
In [1]: import mimesis

In [2]: mimesis.__version__
Out[2]: '9.0.0'

In [3]: mimesis.random.random.generate_string
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[3], line 1
----> 1 mimesis.random.random.generate_string

AttributeError: 'Random' object has no attribute 'generate_string'

In [4]: mimesis.random.random._generate_string
Out[4]: <bound method Random._generate_string of <mimesis.random.Random object at 0x555992f65a20>>
```

This PR replaces all uses of the function with a homespun one. Note that the implementation is about as fast (perhaps identical?)

```python
In [6]: %timeit "".join(random.choices(string.printable, k=100))
9.25 µs ± 98.3 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)

In [7]: %timeit mimesis.random.random._generate_string(string.printable, 100)
9.62 µs ± 103 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)
```

Authors:
  - Ashwin Srinath (https://github.com/shwina)

Approvers:
  - Bradley Dice (https://github.com/bdice)

URL: https://github.com/rapidsai/cudf/pull/13257
---
 python/cudf/cudf/testing/dataset_generator.py | 18 +++++++++++++-----
 1 file changed, 13 insertions(+), 5 deletions(-)

diff --git a/python/cudf/cudf/testing/dataset_generator.py b/python/cudf/cudf/testing/dataset_generator.py
index 2867c4d10eb..1ba205275f3 100644
--- a/python/cudf/cudf/testing/dataset_generator.py
+++ b/python/cudf/cudf/testing/dataset_generator.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2022, NVIDIA CORPORATION.
+# Copyright (c) 2020-2023, NVIDIA CORPORATION.
 
 # This module is for generating "synthetic" datasets. It was originally
 # designed for testing filtered reading. Generally, it should be useful
@@ -8,6 +8,7 @@
 import copy
 import random
 import string
+import uuid
 from multiprocessing import Pool
 
 import mimesis
@@ -457,8 +458,7 @@ def rand_dataframe(
                     cardinality=cardinality,
                     null_frequency=null_frequency,
                     generator=lambda cardinality=cardinality: [
-                        mimesis.random.random.randstr(unique=True, length=2000)
-                        for _ in range(cardinality)
+                        _unique_string() for _ in range(cardinality)
                     ],
                     is_sorted=False,
                     dtype="category",
@@ -502,7 +502,7 @@ def rand_dataframe(
                         cardinality=cardinality,
                         null_frequency=null_frequency,
                         generator=lambda cardinality=cardinality: [
-                            mimesis.random.random.generate_string(
+                            _generate_string(
                                 string.printable,
                                 np.random.randint(
                                     low=0,
@@ -684,7 +684,7 @@ def get_values_for_nested_data(dtype, lists_max_length=None, size=None):
         values = float_generator(dtype=dtype, size=cardinality)()
     elif dtype.kind in ("U", "O"):
         values = [
-            mimesis.random.random.generate_string(
+            _generate_string(
                 string.printable,
                 100,
             )
@@ -847,3 +847,11 @@ def create_nested_struct_type(max_types_at_each_level, nesting_level):
         else:
             type_dict[str(name)] = cudf.dtype(type_)
     return cudf.StructDtype(type_dict)
+
+
+def _generate_string(str_seq: str, length: int = 10) -> str:
+    return "".join(random.choices(str_seq, k=length))
+
+
+def _unique_string() -> str:
+    return str(uuid.uuid4()).replace("-", "")