feat: bump numpy version to support numpy v.2

requirements.txt

@@ -5,7 +5,7 @@ pydantic>=2
 PyYAML>=5.0.0, <6.1
 jinja2>=2.11.1, <3.2
 visions[type_image_path]>=0.7.5, <0.7.7
-numpy>=1.16.0, <2
+numpy>=1.16.0, <2.2
 # Could be optional
 # Related to HTML report
 htmlmin==0.1.12

tests/issues/test_issue397.py

@@ -12,7 +12,7 @@ def test_issue397():
     # Note: warnings are expected with np.inf values
     df = pd.DataFrame.from_dict(
         {
-            "float-inf": pd.Series([np.inf, 3.0, 4.0, np.NINF], dtype="float"),
+            "float-inf": pd.Series([np.inf, 3.0, 4.0, -np.inf], dtype="float"),
             "integer": pd.Series([3, 4, 5, 6], dtype="int"),
             "float": pd.Series([3.0, 4.0, np.nan, 6], dtype="float"),
             "integer-inf": pd.Series([3, np.inf, 5, 7]),

tests/issues/test_issue664.py

@@ -10,7 +10,7 @@
 
 def test_issue664():
     n = 10000
-    df = pd.DataFrame({"a": [np.NaN] * n, "b": ["b"] * n, "c": [pd.NaT] * n})
+    df = pd.DataFrame({"a": [np.nan] * n, "b": ["b"] * n, "c": [pd.NaT] * n})
     df = df.fillna(value=np.nan)
 
     profile = ProfileReport(

tests/unit/test_typeset_default.py

@@ -1,5 +1,6 @@
 import os
-from typing import Dict
+from typing import Dict, Sequence
+from urllib.parse import urlparse
 
 import numpy as np
 import pandas as pd
@@ -19,18 +20,74 @@
 from ydata_profiling.profile_report import ProfileReport
 
 
+def get_sequences() -> Dict[str, Sequence]:
+    sequences = {
+        "complex_series_float": [
+            complex(0, 0),
+            complex(1, 0),
+            complex(3, 0),
+            complex(-1, 0),
+        ],
+        "url_nan_series": [
+            urlparse("http://www.cwi.nl:80/%7Eguido/Python.html"),
+            urlparse("https://github.com/dylan-profiling/hurricane"),
+            np.nan,
+        ],
+        "mixed": [True, False, np.nan],
+        "float_nan_series": [1.0, 2.5, np.nan],
+        "float_series5": [np.nan, 1.2],
+        "float_with_inf": [np.inf, -np.inf, 1000000.0, 5.5],
+        "inf_series": [np.inf, -np.inf],
+        "int_nan_series": [1, 2, np.nan],
+        "nan_series": [np.nan],
+        "nan_series_2": [np.nan, np.nan, np.nan, np.nan],
+        "string_num_nan": ["1.0", "2.0", np.nan],
+        "string_with_sep_num_nan": ["1,000.0", "2.1", np.nan],
+        "string_flt_nan": ["1.0", "45.67", np.nan],
+        "string_str_nan": [
+            "I was only robbing the register,",
+            "I hope you understand",
+            "One of us had better call up the cops",
+            "In the hot New Jersey night",
+            np.nan,
+        ],
+        "float_series3": np.array([1.2, 2, 3, 4], dtype=np.float64),
+        "np_uint32": np.array([1, 2, 3, 4], dtype=np.uint32),
+        "string_np_unicode_series": np.array(["upper", "hall"], dtype=np.str_),
+        "complex_series": [
+            complex(0, 0),
+            complex(1, 2),
+            complex(3, -1),
+        ],
+        "bool_series3": np.array([1, 0, 0, 1], dtype=np.bool_),
+        "complex_series_nan": [complex(0, 0), complex(1, 2), complex(3, -1), None],
+        "complex_series_nan_2": [
+            complex(0, 0),
+            complex(1, 2),
+            complex(3, -1),
+            np.nan,
+        ],
+        "complex_series_py_nan": [
+            complex(0, 0),
+            complex(1, 2),
+            complex(3, -1),
+            np.nan,
+        ],
+    }
+    return sequences
+
+
 def get_series() -> Dict[str, pd.Series]:
     """
     Taken from Vision to remove the `complex_series_nan` that causes an exception due to a bug
     in pandas 2 and numpy with the value `np.nan * 0j` and  `complex(np.nan, np.nan)`.
     See: https://github.com/numpy/numpy/issues/12919
     """
-    from visions.backends.numpy.sequences import get_sequences as get_numpy_sequences
     from visions.backends.pandas.sequences import get_sequences as get_pandas_sequences
     from visions.backends.python.sequences import get_sequences as get_builtin_sequences
 
     sequences = get_builtin_sequences()
-    sequences.update(get_numpy_sequences())
+    sequences.update(get_sequences())
 
     del sequences["complex_series_nan"]