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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/generate_umath_validation_data.cpp b/venv/lib/python3.10/site-packages/numpy/core/tests/data/generate_umath_validation_data.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..575eec1188275064169e7ed533535617fc849d55
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/generate_umath_validation_data.cpp
@@ -0,0 +1,170 @@
+#include <algorithm>
+#include <fstream>
+#include <iostream>
+#include <math.h>
+#include <random>
+#include <cstdio>
+#include <ctime>
+#include <vector>
+
+struct ufunc {
+    std::string name;
+    double (*f32func)(double);
+    long double (*f64func)(long double);
+    float f32ulp;
+    float f64ulp;
+};
+
+template <typename T>
+T
+RandomFloat(T a, T b)
+{
+    T random = ((T)rand()) / (T)RAND_MAX;
+    T diff = b - a;
+    T r = random * diff;
+    return a + r;
+}
+
+template <typename T>
+void
+append_random_array(std::vector<T> &arr, T min, T max, size_t N)
+{
+    for (size_t ii = 0; ii < N; ++ii)
+        arr.emplace_back(RandomFloat<T>(min, max));
+}
+
+template <typename T1, typename T2>
+std::vector<T1>
+computeTrueVal(const std::vector<T1> &in, T2 (*mathfunc)(T2))
+{
+    std::vector<T1> out;
+    for (T1 elem : in) {
+        T2 elem_d = (T2)elem;
+        T1 out_elem = (T1)mathfunc(elem_d);
+        out.emplace_back(out_elem);
+    }
+    return out;
+}
+
+/*
+ * FP range:
+ * [-inf, -maxflt, -1., -minflt, -minden, 0., minden, minflt, 1., maxflt, inf]
+ */
+
+#define MINDEN std::numeric_limits<T>::denorm_min()
+#define MINFLT std::numeric_limits<T>::min()
+#define MAXFLT std::numeric_limits<T>::max()
+#define INF std::numeric_limits<T>::infinity()
+#define qNAN std::numeric_limits<T>::quiet_NaN()
+#define sNAN std::numeric_limits<T>::signaling_NaN()
+
+template <typename T>
+std::vector<T>
+generate_input_vector(std::string func)
+{
+    std::vector<T> input = {MINDEN,  -MINDEN, MINFLT, -MINFLT, MAXFLT,
+                            -MAXFLT, INF,     -INF,   qNAN,    sNAN,
+                            -1.0,    1.0,     0.0,    -0.0};
+
+    // [-1.0, 1.0]
+    if ((func == "arcsin") || (func == "arccos") || (func == "arctanh")) {
+        append_random_array<T>(input, -1.0, 1.0, 700);
+    }
+    // (0.0, INF]
+    else if ((func == "log2") || (func == "log10")) {
+        append_random_array<T>(input, 0.0, 1.0, 200);
+        append_random_array<T>(input, MINDEN, MINFLT, 200);
+        append_random_array<T>(input, MINFLT, 1.0, 200);
+        append_random_array<T>(input, 1.0, MAXFLT, 200);
+    }
+    // (-1.0, INF]
+    else if (func == "log1p") {
+        append_random_array<T>(input, -1.0, 1.0, 200);
+        append_random_array<T>(input, -MINFLT, -MINDEN, 100);
+        append_random_array<T>(input, -1.0, -MINFLT, 100);
+        append_random_array<T>(input, MINDEN, MINFLT, 100);
+        append_random_array<T>(input, MINFLT, 1.0, 100);
+        append_random_array<T>(input, 1.0, MAXFLT, 100);
+    }
+    // [1.0, INF]
+    else if (func == "arccosh") {
+        append_random_array<T>(input, 1.0, 2.0, 400);
+        append_random_array<T>(input, 2.0, MAXFLT, 300);
+    }
+    // [-INF, INF]
+    else {
+        append_random_array<T>(input, -1.0, 1.0, 100);
+        append_random_array<T>(input, MINDEN, MINFLT, 100);
+        append_random_array<T>(input, -MINFLT, -MINDEN, 100);
+        append_random_array<T>(input, MINFLT, 1.0, 100);
+        append_random_array<T>(input, -1.0, -MINFLT, 100);
+        append_random_array<T>(input, 1.0, MAXFLT, 100);
+        append_random_array<T>(input, -MAXFLT, -100.0, 100);
+    }
+
+    std::random_shuffle(input.begin(), input.end());
+    return input;
+}
+
+int
+main()
+{
+    srand(42);
+    std::vector<struct ufunc> umathfunc = {
+            {"sin", sin, sin, 1.49, 1.00},
+            {"cos", cos, cos, 1.49, 1.00},
+            {"tan", tan, tan, 3.91, 3.93},
+            {"arcsin", asin, asin, 3.12, 2.55},
+            {"arccos", acos, acos, 2.1, 1.67},
+            {"arctan", atan, atan, 2.3, 2.52},
+            {"sinh", sinh, sinh, 1.55, 1.89},
+            {"cosh", cosh, cosh, 2.48, 1.97},
+            {"tanh", tanh, tanh, 1.38, 1.19},
+            {"arcsinh", asinh, asinh, 1.01, 1.48},
+            {"arccosh", acosh, acosh, 1.16, 1.05},
+            {"arctanh", atanh, atanh, 1.45, 1.46},
+            {"cbrt", cbrt, cbrt, 1.94, 1.82},
+            //{"exp",exp,exp,3.76,1.53},
+            {"exp2", exp2, exp2, 1.01, 1.04},
+            {"expm1", expm1, expm1, 2.62, 2.1},
+            //{"log",log,log,1.84,1.67},
+            {"log10", log10, log10, 3.5, 1.92},
+            {"log1p", log1p, log1p, 1.96, 1.93},
+            {"log2", log2, log2, 2.12, 1.84},
+    };
+
+    for (int ii = 0; ii < umathfunc.size(); ++ii) {
+        // ignore sin/cos
+        if ((umathfunc[ii].name != "sin") && (umathfunc[ii].name != "cos")) {
+            std::string fileName =
+                    "umath-validation-set-" + umathfunc[ii].name + ".csv";
+            std::ofstream txtOut;
+            txtOut.open(fileName, std::ofstream::trunc);
+            txtOut << "dtype,input,output,ulperrortol" << std::endl;
+
+            // Single Precision
+            auto f32in = generate_input_vector<float>(umathfunc[ii].name);
+            auto f32out = computeTrueVal<float, double>(f32in,
+                                                        umathfunc[ii].f32func);
+            for (int jj = 0; jj < f32in.size(); ++jj) {
+                txtOut << "np.float32" << std::hex << ",0x"
+                       << *reinterpret_cast<uint32_t *>(&f32in[jj]) << ",0x"
+                       << *reinterpret_cast<uint32_t *>(&f32out[jj]) << ","
+                       << ceil(umathfunc[ii].f32ulp) << std::endl;
+            }
+
+            // Double Precision
+            auto f64in = generate_input_vector<double>(umathfunc[ii].name);
+            auto f64out = computeTrueVal<double, long double>(
+                    f64in, umathfunc[ii].f64func);
+            for (int jj = 0; jj < f64in.size(); ++jj) {
+                txtOut << "np.float64" << std::hex << ",0x"
+                       << *reinterpret_cast<uint64_t *>(&f64in[jj]) << ",0x"
+                       << *reinterpret_cast<uint64_t *>(&f64out[jj]) << ","
+                       << ceil(umathfunc[ii].f64ulp) << std::endl;
+            }
+            txtOut.close();
+        }
+    }
+    return 0;
+}
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/recarray_from_file.fits b/venv/lib/python3.10/site-packages/numpy/core/tests/data/recarray_from_file.fits
new file mode 100644
index 0000000000000000000000000000000000000000..ca48ee85153645a7510e201d574e9b119c089dce
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-README.txt b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-README.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cfc9e4145d10276a4d296f3e189debeb581db780
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-README.txt
@@ -0,0 +1,15 @@
+Steps to validate transcendental functions:
+1) Add a file 'umath-validation-set-<ufuncname>.txt', where ufuncname is name of
+   the function in NumPy you want to validate
+2) The file should contain 4 columns: dtype,input,expected output,ulperror
+    a. dtype: one of np.float16, np.float32, np.float64
+    b. input: floating point input to ufunc in hex. Example: 0x414570a4
+       represents 12.340000152587890625
+    c. expected output: floating point output for the corresponding input in hex.
+       This should be computed using a high(er) precision library and then rounded to
+       same format as the input.
+    d. ulperror: expected maximum ulp error of the function. This
+       should be same across all rows of the same dtype. Otherwise, the function is
+       tested for the maximum ulp error among all entries of that dtype.
+3) Add file umath-validation-set-<ufuncname>.txt to the test file test_umath_accuracy.py
+   which will then validate your ufunc.
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-arccos.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-arccos.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6697ae9561f3062ff92986b0006499d7cdf2f265
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-arccos.csv
@@ -0,0 +1,1429 @@
+dtype,input,output,ulperrortol
+np.float32,0xbddd7f50,0x3fd6eec2,3
+np.float32,0xbe32a20c,0x3fdf8182,3
+np.float32,0xbf607c09,0x4028f84f,3
+np.float32,0x3f25d906,0x3f5db544,3
+np.float32,0x3f01cec8,0x3f84febf,3
+np.float32,0x3f1d5c6e,0x3f68a735,3
+np.float32,0xbf0cab89,0x4009c36d,3
+np.float32,0xbf176b40,0x400d0941,3
+np.float32,0x3f3248b2,0x3f4ce6d4,3
+np.float32,0x3f390b48,0x3f434e0d,3
+np.float32,0xbe261698,0x3fddea43,3
+np.float32,0x3f0e1154,0x3f7b848b,3
+np.float32,0xbf379a3c,0x4017b764,3
+np.float32,0xbeda6f2c,0x4000bd62,3
+np.float32,0xbf6a0c3f,0x402e5d5a,3
+np.float32,0x3ef1d700,0x3f8a17b7,3
+np.float32,0xbf6f4f65,0x4031d30d,3
+np.float32,0x3f2c9eee,0x3f54adfd,3
+np.float32,0x3f3cfb18,0x3f3d8a1e,3
+np.float32,0x3ba80800,0x3fc867d2,3
+np.float32,0x3e723b08,0x3faa7e4d,3
+np.float32,0xbf65820f,0x402bb054,3
+np.float32,0xbee64e7a,0x40026410,3
+np.float32,0x3cb15140,0x3fc64a87,3
+np.float32,0x3f193660,0x3f6ddf2a,3
+np.float32,0xbf0e5b52,0x400a44f7,3
+np.float32,0x3ed55f14,0x3f920a4b,3
+np.float32,0x3dd11a80,0x3fbbf85c,3
+np.float32,0xbf4f5c4b,0x4020f4f9,3
+np.float32,0x3f787532,0x3e792e87,3
+np.float32,0x3f40e6ac,0x3f37a74f,3
+np.float32,0x3f1c1318,0x3f6a47b6,3
+np.float32,0xbe3c48d8,0x3fe0bb70,3
+np.float32,0xbe94d4bc,0x3feed08e,3
+np.float32,0xbe5c3688,0x3fe4ce26,3
+np.float32,0xbf6fe026,0x403239cb,3
+np.float32,0x3ea5983c,0x3f9ee7bf,3
+np.float32,0x3f1471e6,0x3f73c5bb,3
+np.float32,0x3f0e2622,0x3f7b6b87,3
+np.float32,0xbf597180,0x40257ad1,3
+np.float32,0xbeb5321c,0x3ff75d34,3
+np.float32,0x3f5afcd2,0x3f0b6012,3
+np.float32,0xbef2ff88,0x40042e14,3
+np.float32,0xbedc747e,0x400104f5,3
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+np.float32,0xbf754406,0x4036767f,3
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+np.float32,0x3f2eefd8,0x3f518684,3
+np.float32,0xbf156bf9,0x400c6b49,3
+np.float32,0xbd550790,0x3fcfb8dc,3
+np.float32,0x3ede58fc,0x3f8f8f77,3
+np.float32,0xbf00ac19,0x40063c4b,3
+np.float32,0x3f4d25ba,0x3f24280e,3
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+np.float32,0x3f617226,0x3efcb4f4,3
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-arccosh.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-arccosh.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0defe50be4ae2c8af355c9cc11d47e96a790f25d
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-arccosh.csv
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-cosh.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-cosh.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c9e446c3b147d07789128419c46880a17a825e2d
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-cosh.csv
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-exp2.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-exp2.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e19e9ebd628560f0982e76bd8127b46e8d67ecad
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-exp2.csv
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+np.float64,0x4de6e1449bcdd,0x3ff0000000000000,2
+np.float64,0x65e9bc9ccbd38,0x3ff0000000000000,2
+np.float64,0xbfe53b0fa9aa7620,0x3fe4341f0aa29bbc,2
+np.float64,0xbfcdd94cd13bb298,0x3feb3956acd2e2dd,2
+np.float64,0x8004a49b65a94938,0x3ff0000000000000,2
+np.float64,0x800d3d05deba7a0c,0x3ff0000000000000,2
+np.float64,0x3fe4e05bce69c0b8,0x3ff925f55602a7e0,2
+np.float64,0xffe391e3256723c6,0x0,2
+np.float64,0xbfe92f0f37b25e1e,0x3fe28bacc76ae753,2
+np.float64,0x3f990238d8320472,0x3ff045edd36e2d62,2
+np.float64,0xffed8d15307b1a2a,0x0,2
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+np.float64,0xffb2d94b2225b298,0x0,2
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7717745d59bb160f47153de3f2e8bd650e00aa42
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log.csv
@@ -0,0 +1,271 @@
+dtype,input,output,ulperrortol
+## +ve denormals ##
+np.float32,0x004b4716,0xc2afbc1b,4
+np.float32,0x007b2490,0xc2aec01e,4
+np.float32,0x007c99fa,0xc2aeba17,4
+np.float32,0x00734a0c,0xc2aee1dc,4
+np.float32,0x0070de24,0xc2aeecba,4
+np.float32,0x007fffff,0xc2aeac50,4
+np.float32,0x00000001,0xc2ce8ed0,4
+## -ve denormals ##
+np.float32,0x80495d65,0xffc00000,4
+np.float32,0x806894f6,0xffc00000,4
+np.float32,0x80555a76,0xffc00000,4
+np.float32,0x804e1fb8,0xffc00000,4
+np.float32,0x80687de9,0xffc00000,4
+np.float32,0x807fffff,0xffc00000,4
+np.float32,0x80000001,0xffc00000,4
+## +/-0.0f, +/-FLT_MIN +/-FLT_MAX ##
+np.float32,0x00000000,0xff800000,4
+np.float32,0x80000000,0xff800000,4
+np.float32,0x7f7fffff,0x42b17218,4
+np.float32,0x80800000,0xffc00000,4
+np.float32,0xff7fffff,0xffc00000,4
+## 1.00f + 0x00000001 ##
+np.float32,0x3f800000,0x00000000,4
+np.float32,0x3f800001,0x33ffffff,4
+np.float32,0x3f800002,0x347ffffe,4
+np.float32,0x3f7fffff,0xb3800000,4
+np.float32,0x3f7ffffe,0xb4000000,4
+np.float32,0x3f7ffffd,0xb4400001,4
+np.float32,0x402df853,0x3f7ffffe,4
+np.float32,0x402df854,0x3f7fffff,4
+np.float32,0x402df855,0x3f800000,4
+np.float32,0x402df856,0x3f800001,4
+np.float32,0x3ebc5ab0,0xbf800001,4
+np.float32,0x3ebc5ab1,0xbf800000,4
+np.float32,0x3ebc5ab2,0xbf800000,4
+np.float32,0x3ebc5ab3,0xbf7ffffe,4
+np.float32,0x423ef575,0x407768ab,4
+np.float32,0x427b8c61,0x408485dd,4
+np.float32,0x4211e9ee,0x406630b0,4
+np.float32,0x424d5c41,0x407c0fed,4
+np.float32,0x42be722a,0x4091cc91,4
+np.float32,0x42b73d30,0x4090908b,4
+np.float32,0x427e48e2,0x4084de7f,4
+np.float32,0x428f759b,0x4088bba3,4
+np.float32,0x41629069,0x4029a0cc,4
+np.float32,0x4272c99d,0x40836379,4
+np.float32,0x4d1b7458,0x4197463d,4
+np.float32,0x4f10c594,0x41ace2b2,4
+np.float32,0x4ea397c2,0x41a85171,4
+np.float32,0x4fefa9d1,0x41b6769c,4
+np.float32,0x4ebac6ab,0x41a960dc,4
+np.float32,0x4f6efb42,0x41b0e535,4
+np.float32,0x4e9ab8e7,0x41a7df44,4
+np.float32,0x4e81b5d1,0x41a67625,4
+np.float32,0x5014d9f2,0x41b832bd,4
+np.float32,0x4f02175c,0x41ac07b8,4
+np.float32,0x7f034f89,0x42b01c47,4
+np.float32,0x7f56d00e,0x42b11849,4
+np.float32,0x7f1cd5f6,0x42b0773a,4
+np.float32,0x7e979174,0x42af02d7,4
+np.float32,0x7f23369f,0x42b08ba2,4
+np.float32,0x7f0637ae,0x42b0277d,4
+np.float32,0x7efcb6e8,0x42b00897,4
+np.float32,0x7f7907c8,0x42b163f6,4
+np.float32,0x7e95c4c2,0x42aefcba,4
+np.float32,0x7f4577b2,0x42b0ed2d,4
+np.float32,0x3f49c92e,0xbe73ae84,4
+np.float32,0x3f4a23d1,0xbe71e2f8,4
+np.float32,0x3f4abb67,0xbe6ee430,4
+np.float32,0x3f48169a,0xbe7c5532,4
+np.float32,0x3f47f5fa,0xbe7cfc37,4
+np.float32,0x3f488309,0xbe7a2ad8,4
+np.float32,0x3f479df4,0xbe7ebf5f,4
+np.float32,0x3f47cfff,0xbe7dbec9,4
+np.float32,0x3f496704,0xbe75a125,4
+np.float32,0x3f478ee8,0xbe7f0c92,4
+np.float32,0x3f4a763b,0xbe7041ce,4
+np.float32,0x3f47a108,0xbe7eaf94,4
+np.float32,0x3f48136c,0xbe7c6578,4
+np.float32,0x3f481c17,0xbe7c391c,4
+np.float32,0x3f47cd28,0xbe7dcd56,4
+np.float32,0x3f478be8,0xbe7f1bf7,4
+np.float32,0x3f4c1f8e,0xbe67e367,4
+np.float32,0x3f489b0c,0xbe79b03f,4
+np.float32,0x3f4934cf,0xbe76a08a,4
+np.float32,0x3f4954df,0xbe75fd6a,4
+np.float32,0x3f47a3f5,0xbe7ea093,4
+np.float32,0x3f4ba4fc,0xbe6a4b02,4
+np.float32,0x3f47a0e1,0xbe7eb05c,4
+np.float32,0x3f48c30a,0xbe78e42f,4
+np.float32,0x3f48cab8,0xbe78bd05,4
+np.float32,0x3f4b0569,0xbe6d6ea4,4
+np.float32,0x3f47de32,0xbe7d7607,4
+np.float32,0x3f477328,0xbe7f9b00,4
+np.float32,0x3f496dab,0xbe757f52,4
+np.float32,0x3f47662c,0xbe7fddac,4
+np.float32,0x3f48ddd8,0xbe785b80,4
+np.float32,0x3f481866,0xbe7c4bff,4
+np.float32,0x3f48b119,0xbe793fb6,4
+np.float32,0x3f48c7e8,0xbe78cb5c,4
+np.float32,0x3f4985f6,0xbe7503da,4
+np.float32,0x3f483fdf,0xbe7b8212,4
+np.float32,0x3f4b1c76,0xbe6cfa67,4
+np.float32,0x3f480b2e,0xbe7c8fa8,4
+np.float32,0x3f48745f,0xbe7a75bf,4
+np.float32,0x3f485bda,0xbe7af308,4
+np.float32,0x3f47a660,0xbe7e942c,4
+np.float32,0x3f47d4d5,0xbe7da600,4
+np.float32,0x3f4b0a26,0xbe6d56be,4
+np.float32,0x3f4a4883,0xbe712924,4
+np.float32,0x3f4769e7,0xbe7fca84,4
+np.float32,0x3f499702,0xbe74ad3f,4
+np.float32,0x3f494ab1,0xbe763131,4
+np.float32,0x3f476b69,0xbe7fc2c6,4
+np.float32,0x3f4884e8,0xbe7a214a,4
+np.float32,0x3f486945,0xbe7aae76,4
+#float64
+## +ve denormal ##
+np.float64,0x0000000000000001,0xc0874385446d71c3,2
+np.float64,0x0001000000000000,0xc086395a2079b70c,2
+np.float64,0x000fffffffffffff,0xc086232bdd7abcd2,2
+np.float64,0x0007ad63e2168cb6,0xc086290bc0b2980f,2
+## -ve denormal ##
+np.float64,0x8000000000000001,0xfff8000000000001,2
+np.float64,0x8001000000000000,0xfff8000000000001,2
+np.float64,0x800fffffffffffff,0xfff8000000000001,2
+np.float64,0x8007ad63e2168cb6,0xfff8000000000001,2
+## +/-0.0f, MAX, MIN##
+np.float64,0x0000000000000000,0xfff0000000000000,2
+np.float64,0x8000000000000000,0xfff0000000000000,2
+np.float64,0x7fefffffffffffff,0x40862e42fefa39ef,2
+np.float64,0xffefffffffffffff,0xfff8000000000001,2
+## near 1.0f ##
+np.float64,0x3ff0000000000000,0x0000000000000000,2
+np.float64,0x3fe8000000000000,0xbfd269621134db92,2
+np.float64,0x3ff0000000000001,0x3cafffffffffffff,2
+np.float64,0x3ff0000020000000,0x3e7fffffe000002b,2
+np.float64,0x3ff0000000000001,0x3cafffffffffffff,2
+np.float64,0x3fefffffe0000000,0xbe70000008000005,2
+np.float64,0x3fefffffffffffff,0xbca0000000000000,2
+## random numbers ##
+np.float64,0x02500186f3d9da56,0xc0855b8abf135773,2
+np.float64,0x09200815a3951173,0xc082ff1ad7131bdc,2
+np.float64,0x0da029623b0243d4,0xc0816fc994695bb5,2
+np.float64,0x48703b8ac483a382,0x40579213a313490b,2
+np.float64,0x09207b74c87c9860,0xc082fee20ff349ef,2
+np.float64,0x62c077698e8df947,0x407821c996d110f0,2
+np.float64,0x2350b45e87c3cfb0,0xc073d6b16b51d072,2
+np.float64,0x3990a23f9ff2b623,0xc051aa60eadd8c61,2
+np.float64,0x0d011386a116c348,0xc081a6cc7ea3b8fb,2
+np.float64,0x1fe0f0303ebe273a,0xc0763870b78a81ca,2
+np.float64,0x0cd1260121d387da,0xc081b7668d61a9d1,2
+np.float64,0x1e6135a8f581d422,0xc077425ac10f08c2,2
+np.float64,0x622168db5fe52d30,0x4077b3c669b9fadb,2
+np.float64,0x69f188e1ec6d1718,0x407d1e2f18c63889,2
+np.float64,0x3aa1bf1d9c4dd1a3,0xc04d682e24bde479,2
+np.float64,0x6c81c4011ce4f683,0x407ee5190e8a8e6a,2
+np.float64,0x2191fa55aa5a5095,0xc0750c0c318b5e2d,2
+np.float64,0x32a1f602a32bf360,0xc06270caa493fc17,2
+np.float64,0x16023c90ba93249b,0xc07d0f88e0801638,2
+np.float64,0x1c525fe6d71fa9ff,0xc078af49c66a5d63,2
+np.float64,0x1a927675815d65b7,0xc079e5bdd7fe376e,2
+np.float64,0x41227b8fe70da028,0x402aa0c9f9a84c71,2
+np.float64,0x4962bb6e853fe87d,0x405a34aa04c83747,2
+np.float64,0x23d2cda00b26b5a4,0xc0737c13a06d00ea,2
+np.float64,0x2d13083fd62987fa,0xc06a25055aeb474e,2
+np.float64,0x10e31e4c9b4579a1,0xc0804e181929418e,2
+np.float64,0x26d3247d556a86a9,0xc0716774171da7e8,2
+np.float64,0x6603379398d0d4ac,0x407a64f51f8a887b,2
+np.float64,0x02d38af17d9442ba,0xc0852d955ac9dd68,2
+np.float64,0x6a2382b4818dd967,0x407d4129d688e5d4,2
+np.float64,0x2ee3c403c79b3934,0xc067a091fefaf8b6,2
+np.float64,0x6493a699acdbf1a4,0x4079663c8602bfc5,2
+np.float64,0x1c8413c4f0de3100,0xc0788c99697059b6,2
+np.float64,0x4573f1ed350d9622,0x404e9bd1e4c08920,2
+np.float64,0x2f34265c9200b69c,0xc067310cfea4e986,2
+np.float64,0x19b43e65fa22029b,0xc07a7f8877de22d6,2
+np.float64,0x0af48ab7925ed6bc,0xc0825c4fbc0e5ade,2
+np.float64,0x4fa49699cad82542,0x4065c76d2a318235,2
+np.float64,0x7204a15e56ade492,0x40815bb87484dffb,2
+np.float64,0x4734aa08a230982d,0x40542a4bf7a361a9,2
+np.float64,0x1ae4ed296c2fd749,0xc079ac4921f20abb,2
+np.float64,0x472514ea4370289c,0x4053ff372bd8f18f,2
+np.float64,0x53a54b3f73820430,0x406b5411fc5f2e33,2
+np.float64,0x64754de5a15684fa,0x407951592e99a5ab,2
+np.float64,0x69358e279868a7c3,0x407c9c671a882c31,2
+np.float64,0x284579ec61215945,0xc0706688e55f0927,2
+np.float64,0x68b5c58806447adc,0x407c43d6f4eff760,2
+np.float64,0x1945a83f98b0e65d,0xc07acc15eeb032cc,2
+np.float64,0x0fc5eb98a16578bf,0xc080b0d02eddca0e,2
+np.float64,0x6a75e208f5784250,0x407d7a7383bf8f05,2
+np.float64,0x0fe63a029c47645d,0xc080a59ca1e98866,2
+np.float64,0x37963ac53f065510,0xc057236281f7bdb6,2
+np.float64,0x135661bb07067ff7,0xc07ee924930c21e4,2
+np.float64,0x4b4699469d458422,0x405f73843756e887,2
+np.float64,0x1a66d73e4bf4881b,0xc07a039ba1c63adf,2
+np.float64,0x12a6b9b119a7da59,0xc07f62e49c6431f3,2
+np.float64,0x24c719aa8fd1bdb5,0xc072d26da4bf84d3,2
+np.float64,0x0fa6ff524ffef314,0xc080bb8514662e77,2
+np.float64,0x1db751d66fdd4a9a,0xc077b77cb50d7c92,2
+np.float64,0x4947374c516da82c,0x4059e9acfc7105bf,2
+np.float64,0x1b1771ab98f3afc8,0xc07989326b8e1f66,2
+np.float64,0x25e78805baac8070,0xc0720a818e6ef080,2
+np.float64,0x4bd7a148225d3687,0x406082d004ea3ee7,2
+np.float64,0x53d7d6b2bbbda00a,0x406b9a398967cbd5,2
+np.float64,0x6997fb9f4e1c685f,0x407ce0a703413eba,2
+np.float64,0x069802c2ff71b951,0xc083df39bf7acddc,2
+np.float64,0x4d683ac9890f66d8,0x4062ae21d8c2acf0,2
+np.float64,0x5a2825863ec14f4c,0x40722d718d549552,2
+np.float64,0x0398799a88f4db80,0xc084e93dab8e2158,2
+np.float64,0x5ed87a8b77e135a5,0x40756d7051777b33,2
+np.float64,0x5828cd6d79b9bede,0x4070cafb22fc6ca1,2
+np.float64,0x7b18ba2a5ec6f068,0x408481386b3ed6fe,2
+np.float64,0x4938fd60922198fe,0x4059c206b762ea7e,2
+np.float64,0x31b8f44fcdd1a46e,0xc063b2faa8b6434e,2
+np.float64,0x5729341c0d918464,0x407019cac0c4a7d7,2
+np.float64,0x13595e9228ee878e,0xc07ee7235a7d8088,2
+np.float64,0x17698b0dc9dd4135,0xc07c1627e3a5ad5f,2
+np.float64,0x63b977c283abb0cc,0x4078cf1ec6ed65be,2
+np.float64,0x7349cc0d4dc16943,0x4081cc697ce4cb53,2
+np.float64,0x4e49a80b732fb28d,0x4063e67e3c5cbe90,2
+np.float64,0x07ba14b848a8ae02,0xc0837ac032a094e0,2
+np.float64,0x3da9f17b691bfddc,0xc03929c25366acda,2
+np.float64,0x02ea39aa6c3ac007,0xc08525af6f21e1c4,2
+np.float64,0x3a6a42f04ed9563d,0xc04e98e825dca46b,2
+np.float64,0x1afa877cd7900be7,0xc0799d6648cb34a9,2
+np.float64,0x58ea986649e052c6,0x4071512e939ad790,2
+np.float64,0x691abbc04647f536,0x407c89aaae0fcb83,2
+np.float64,0x43aabc5063e6f284,0x4044b45d18106fd2,2
+np.float64,0x488b003c893e0bea,0x4057df012a2dafbe,2
+np.float64,0x77eb076ed67caee5,0x40836720de94769e,2
+np.float64,0x5c1b46974aba46f4,0x40738731ba256007,2
+np.float64,0x1a5b29ecb5d3c261,0xc07a0becc77040d6,2
+np.float64,0x5d8b6ccf868c6032,0x4074865c1865e2db,2
+np.float64,0x4cfb6690b4aaf5af,0x406216cd8c7e8ddb,2
+np.float64,0x76cbd8eb5c5fc39e,0x4083038dc66d682b,2
+np.float64,0x28bbd1fec5012814,0xc07014c2dd1b9711,2
+np.float64,0x33dc1b3a4fd6bf7a,0xc060bd0756e07d8a,2
+np.float64,0x52bbe89b37de99f3,0x406a10041aa7d343,2
+np.float64,0x07bc479d15eb2dd3,0xc0837a1a6e3a3b61,2
+np.float64,0x18fc5275711a901d,0xc07aff3e9d62bc93,2
+np.float64,0x114c9758e247dc71,0xc080299a7cf15b05,2
+np.float64,0x25ac8f6d60755148,0xc07233c4c0c511d4,2
+np.float64,0x260cae2bb9e9fd7e,0xc071f128c7e82eac,2
+np.float64,0x572ccdfe0241de82,0x40701bedc84bb504,2
+np.float64,0x0ddcef6c8d41f5ee,0xc0815a7e16d07084,2
+np.float64,0x6dad1d59c988af68,0x407fb4a0bc0142b1,2
+np.float64,0x025d200580d8b6d1,0xc08556c0bc32b1b2,2
+np.float64,0x7aad344b6aa74c18,0x40845bbc453f22be,2
+np.float64,0x5b5d9d6ad9d14429,0x4073036d2d21f382,2
+np.float64,0x49cd8d8dcdf19954,0x405b5c034f5c7353,2
+np.float64,0x63edb9483335c1e6,0x4078f2dd21378786,2
+np.float64,0x7b1dd64c9d2c26bd,0x408482b922017bc9,2
+np.float64,0x782e13e0b574be5f,0x40837e2a0090a5ad,2
+np.float64,0x592dfe18b9d6db2f,0x40717f777fbcb1ec,2
+np.float64,0x654e3232ac60d72c,0x4079e71a95a70446,2
+np.float64,0x7b8e42ad22091456,0x4084a9a6f1e61722,2
+np.float64,0x570e88dfd5860ae6,0x407006ae6c0d137a,2
+np.float64,0x294e98346cb98ef1,0xc06f5edaac12bd44,2
+np.float64,0x1adeaa4ab792e642,0xc079b1431d5e2633,2
+np.float64,0x7b6ead3377529ac8,0x40849eabc8c7683c,2
+np.float64,0x2b8eedae8a9b2928,0xc06c400054deef11,2
+np.float64,0x65defb45b2dcf660,0x407a4b53f181c05a,2
+np.float64,0x1baf582d475e7701,0xc07920bcad4a502c,2
+np.float64,0x461f39cf05a0f15a,0x405126368f984fa1,2
+np.float64,0x7e5f6f5dcfff005b,0x4085a37d610439b4,2
+np.float64,0x136f66e4d09bd662,0xc07ed8a2719f2511,2
+np.float64,0x65afd8983fb6ca1f,0x407a2a7f48bf7fc1,2
+np.float64,0x572fa7f95ed22319,0x40701d706cf82e6f,2
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log1p.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log1p.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6e4f88b3446c7028a254200e5ca9294eef89ea3a
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log1p.csv
@@ -0,0 +1,1429 @@
+dtype,input,output,ulperrortol
+np.float32,0x3e10aca8,0x3e075347,2
+np.float32,0x3f776e66,0x3f2d2003,2
+np.float32,0xbf34e8ce,0xbf9cfd5c,2
+np.float32,0xbf0260ee,0xbf363f69,2
+np.float32,0x3ed285e8,0x3eb05870,2
+np.float32,0x262b88,0x262b88,2
+np.float32,0x3eeffd6c,0x3ec4cfdb,2
+np.float32,0x3ee86808,0x3ebf9f54,2
+np.float32,0x3f36eba8,0x3f0a0524,2
+np.float32,0xbf1c047a,0xbf70afc7,2
+np.float32,0x3ead2916,0x3e952902,2
+np.float32,0x61c9c9,0x61c9c9,2
+np.float32,0xff7fffff,0xffc00000,2
+np.float32,0x7f64ee52,0x42b138e0,2
+np.float32,0x7ed00b1e,0x42afa4ff,2
+np.float32,0x3db53340,0x3dada0b2,2
+np.float32,0x3e6b0a4a,0x3e5397a4,2
+np.float32,0x7ed5d64f,0x42afb310,2
+np.float32,0xbf12bc5f,0xbf59f5ee,2
+np.float32,0xbda12710,0xbda7d8b5,2
+np.float32,0xbe2e89d8,0xbe3f5a9f,2
+np.float32,0x3f5bee75,0x3f1ebea4,2
+np.float32,0x9317a,0x9317a,2
+np.float32,0x7ee00130,0x42afcad8,2
+np.float32,0x7ef0d16d,0x42afefe7,2
+np.float32,0xbec7463a,0xbefc6a44,2
+np.float32,0xbf760ecc,0xc04fe59c,2
+np.float32,0xbecacb3c,0xbf011ae3,2
+np.float32,0x3ead92be,0x3e9577f0,2
+np.float32,0xbf41510d,0xbfb41b3a,2
+np.float32,0x7f71d489,0x42b154f1,2
+np.float32,0x8023bcd5,0x8023bcd5,2
+np.float32,0x801d33d8,0x801d33d8,2
+np.float32,0x3f3f545d,0x3f0ee0d4,2
+np.float32,0xbf700682,0xc0318c25,2
+np.float32,0xbe54e990,0xbe6eb0a3,2
+np.float32,0x7f0289bf,0x42b01941,2
+np.float32,0xbd61ac90,0xbd682113,2
+np.float32,0xbf2ff310,0xbf94cd6f,2
+np.float32,0x7f10064a,0x42b04b98,2
+np.float32,0x804d0d6d,0x804d0d6d,2
+np.float32,0x80317b0a,0x80317b0a,2
+np.float32,0xbddfef18,0xbded2640,2
+np.float32,0x3f00c9ab,0x3ed0a5bd,2
+np.float32,0x7f04b905,0x42b021c1,2
+np.float32,0x7fc00000,0x7fc00000,2
+np.float32,0x6524c4,0x6524c4,2
+np.float32,0x3da08ae0,0x3d9a8f88,2
+np.float32,0x293ea9,0x293ea9,2
+np.float32,0x71499e,0x71499e,2
+np.float32,0xbf14f54d,0xbf5f38a5,2
+np.float32,0x806e60f5,0x806e60f5,2
+np.float32,0x3f5f34bb,0x3f207fff,2
+np.float32,0x80513427,0x80513427,2
+np.float32,0x7f379670,0x42b0c7dc,2
+np.float32,0x3efba888,0x3eccb20b,2
+np.float32,0x3eeadd1b,0x3ec14f4b,2
+np.float32,0x7ec5a27f,0x42af8ab8,2
+np.float32,0x3f2afe4e,0x3f02f7a2,2
+np.float32,0x5591c8,0x5591c8,2
+np.float32,0x3dbb7240,0x3db35bab,2
+np.float32,0x805b911b,0x805b911b,2
+np.float32,0x800000,0x800000,2
+np.float32,0x7e784c04,0x42ae9cab,2
+np.float32,0x7ebaae14,0x42af6d86,2
+np.float32,0xbec84f7a,0xbefe1d42,2
+np.float32,0x7cea8281,0x42aa56bf,2
+np.float32,0xbf542cf6,0xbfe1eb1b,2
+np.float32,0xbf6bfb13,0xc0231a5b,2
+np.float32,0x7d6eeaef,0x42abc32c,2
+np.float32,0xbf062f6b,0xbf3e2000,2
+np.float32,0x8073d8e9,0x8073d8e9,2
+np.float32,0xbea4db14,0xbec6f485,2
+np.float32,0x7d7e8d62,0x42abe3a0,2
+np.float32,0x7e8fc34e,0x42aee7c6,2
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log2.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log2.csv
new file mode 100644
index 0000000000000000000000000000000000000000..179c6519d6d5f1c4f00c2f2595ac56f5852423de
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-log2.csv
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-sin.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-sin.csv
new file mode 100644
index 0000000000000000000000000000000000000000..03e76ffc2c222772e872908e147d4347effc1626
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-sin.csv
@@ -0,0 +1,1370 @@
+dtype,input,output,ulperrortol
+## +ve denormals ##
+np.float32,0x004b4716,0x004b4716,2
+np.float32,0x007b2490,0x007b2490,2
+np.float32,0x007c99fa,0x007c99fa,2
+np.float32,0x00734a0c,0x00734a0c,2
+np.float32,0x0070de24,0x0070de24,2
+np.float32,0x007fffff,0x007fffff,2
+np.float32,0x00000001,0x00000001,2
+## -ve denormals ##
+np.float32,0x80495d65,0x80495d65,2
+np.float32,0x806894f6,0x806894f6,2
+np.float32,0x80555a76,0x80555a76,2
+np.float32,0x804e1fb8,0x804e1fb8,2
+np.float32,0x80687de9,0x80687de9,2
+np.float32,0x807fffff,0x807fffff,2
+np.float32,0x80000001,0x80000001,2
+## +/-0.0f, +/-FLT_MIN +/-FLT_MAX ##
+np.float32,0x00000000,0x00000000,2
+np.float32,0x80000000,0x80000000,2
+np.float32,0x00800000,0x00800000,2
+np.float32,0x80800000,0x80800000,2
+## 1.00f ##
+np.float32,0x3f800000,0x3f576aa4,2
+np.float32,0x3f800001,0x3f576aa6,2
+np.float32,0x3f800002,0x3f576aa7,2
+np.float32,0xc090a8b0,0x3f7b4e48,2
+np.float32,0x41ce3184,0x3f192d43,2
+np.float32,0xc1d85848,0xbf7161cb,2
+np.float32,0x402b8820,0x3ee3f29f,2
+np.float32,0x42b4e454,0x3f1d0151,2
+np.float32,0x42a67a60,0x3f7ffa4c,2
+np.float32,0x41d92388,0x3f67beef,2
+np.float32,0x422dd66c,0xbeffb0c1,2
+np.float32,0xc28f5be6,0xbf0bae79,2
+np.float32,0x41ab2674,0x3f0ffe2b,2
+np.float32,0x3f490fdb,0x3f3504f3,2
+np.float32,0xbf490fdb,0xbf3504f3,2
+np.float32,0x3fc90fdb,0x3f800000,2
+np.float32,0xbfc90fdb,0xbf800000,2
+np.float32,0x40490fdb,0xb3bbbd2e,2
+np.float32,0xc0490fdb,0x33bbbd2e,2
+np.float32,0x3fc90fdb,0x3f800000,2
+np.float32,0xbfc90fdb,0xbf800000,2
+np.float32,0x40490fdb,0xb3bbbd2e,2
+np.float32,0xc0490fdb,0x33bbbd2e,2
+np.float32,0x40c90fdb,0x343bbd2e,2
+np.float32,0xc0c90fdb,0xb43bbd2e,2
+np.float32,0x4016cbe4,0x3f3504f3,2
+np.float32,0xc016cbe4,0xbf3504f3,2
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+np.float32,0xc0490fdb,0x33bbbd2e,2
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+np.float32,0xc0c90fdb,0xb43bbd2e,2
+np.float32,0x41490fdb,0x34bbbd2e,2
+np.float32,0xc1490fdb,0xb4bbbd2e,2
+np.float32,0x407b53d2,0xbf3504f5,2
+np.float32,0xc07b53d2,0x3f3504f5,2
+np.float32,0x40fb53d2,0x3f800000,2
+np.float32,0xc0fb53d2,0xbf800000,2
+np.float32,0x417b53d2,0xb535563d,2
+np.float32,0xc17b53d2,0x3535563d,2
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+np.float32,0xc116cbe4,0x32ccde2e,2
+np.float32,0x4196cbe4,0x334cde2e,2
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+np.float32,0x412fede0,0xbf800000,2
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+np.float32,0x41afede0,0xb5b222c4,2
+np.float32,0xc1afede0,0x35b222c4,2
+np.float32,0x40c90fdb,0x343bbd2e,2
+np.float32,0xc0c90fdb,0xb43bbd2e,2
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+np.float32,0x416231d6,0x3f800000,2
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+np.float32,0xc10a3ae7,0xbf3504eb,2
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+np.float32,0xc18a3ae7,0x3f800000,2
+np.float32,0x420a3ae7,0xb6308908,2
+np.float32,0xc20a3ae7,0x36308908,2
+np.float32,0x4116cbe4,0xb2ccde2e,2
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+np.float32,0xc196cbe4,0xb34cde2e,2
+np.float32,0x4216cbe4,0x33ccde2e,2
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-sinh.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-sinh.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5888c91c20db96c95930381bdff8ff83563b63c2
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-sinh.csv
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-tanh.csv b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-tanh.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9e3ddc60ffa683f01139870d31de5cb61c2cbc2e
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/data/umath-validation-set-tanh.csv
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+np.float64,0x7fefffffffffffff,0x3ff0000000000000,2
+np.float64,0xbfde98f2c2bd31e6,0xbfdc761bfab1c4cb,2
+np.float64,0xffb725e6222e4bd0,0xbff0000000000000,2
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+np.float64,0xfff0000000000000,0xbff0000000000000,2
+np.float64,0xbfcdc0841d3b8108,0xbfcd3a401debba9a,2
+np.float64,0x800f0c8f4f7e191f,0x800f0c8f4f7e191f,2
+np.float64,0x800ba6e75fd74dcf,0x800ba6e75fd74dcf,2
+np.float64,0x7fee4927e8bc924f,0x3ff0000000000000,2
+np.float64,0x3fadf141903be283,0x3fade8878d9d3551,2
+np.float64,0x3efb1a267df64,0x3efb1a267df64,2
+np.float64,0xffebf55f22b7eabe,0xbff0000000000000,2
+np.float64,0x7fbe8045663d008a,0x3ff0000000000000,2
+np.float64,0x3fefc0129f7f8026,0x3fe843f8b7d6cf38,2
+np.float64,0xbfe846b420f08d68,0xbfe47d1709e43937,2
+np.float64,0x7fe8e87043f1d0e0,0x3ff0000000000000,2
+np.float64,0x3fcfb718453f6e31,0x3fcf14ecee7b32b4,2
+np.float64,0x7fe4306b71a860d6,0x3ff0000000000000,2
+np.float64,0x7fee08459f7c108a,0x3ff0000000000000,2
+np.float64,0x3fed705165fae0a3,0x3fe73a66369c5700,2
+np.float64,0x7fd0e63f4da1cc7e,0x3ff0000000000000,2
+np.float64,0xffd1a40c2ea34818,0xbff0000000000000,2
+np.float64,0xbfa369795c26d2f0,0xbfa36718218d46b3,2
+np.float64,0xef70b9f5dee17,0xef70b9f5dee17,2
+np.float64,0x3fb50a0a6e2a1410,0x3fb4fdf27724560a,2
+np.float64,0x7fe30a0f6166141e,0x3ff0000000000000,2
+np.float64,0xbfd7b3ca7daf6794,0xbfd6accb81032b2d,2
+np.float64,0x3fc21dceb3243b9d,0x3fc1ff15d5d277a3,2
+np.float64,0x3fe483e445a907c9,0x3fe219ca0e269552,2
+np.float64,0x3fb2b1e2a22563c0,0x3fb2a96554900eaf,2
+np.float64,0x4b1ff6409641,0x4b1ff6409641,2
+np.float64,0xbfd92eabc9b25d58,0xbfd7f55d7776d64e,2
+np.float64,0x8003b8604c8770c1,0x8003b8604c8770c1,2
+np.float64,0x800d20a9df1a4154,0x800d20a9df1a4154,2
+np.float64,0xecf8a535d9f15,0xecf8a535d9f15,2
+np.float64,0x3fe92d15bab25a2b,0x3fe50296aa15ae85,2
+np.float64,0x800239c205a47385,0x800239c205a47385,2
+np.float64,0x3fc48664a9290cc8,0x3fc459d126320ef6,2
+np.float64,0x3fe7620625eec40c,0x3fe3f3bcbee3e8c6,2
+np.float64,0x3fd242ff4ca48600,0x3fd1c81ed7a971c8,2
+np.float64,0xbfe39bafcfa73760,0xbfe17959c7a279db,2
+np.float64,0x7fdcd2567239a4ac,0x3ff0000000000000,2
+np.float64,0x3fe5f2f292ebe5e6,0x3fe30d12f05e2752,2
+np.float64,0x7fda3819d1347033,0x3ff0000000000000,2
+np.float64,0xffca5b4d4334b69c,0xbff0000000000000,2
+np.float64,0xb8a2b7cd71457,0xb8a2b7cd71457,2
+np.float64,0x3fee689603fcd12c,0x3fe7ad4ace26d6dd,2
+np.float64,0x7fe26541a564ca82,0x3ff0000000000000,2
+np.float64,0x3fe6912ee66d225e,0x3fe3720d242c4d82,2
+np.float64,0xffe6580c75ecb018,0xbff0000000000000,2
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+np.float64,0xffe84e3f84b09c7e,0xbff0000000000000,2
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+np.float64,0x3fe214d4266429a8,0x3fe05fec03a3c247,2
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diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/__pycache__/setup.cpython-310.pyc b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/__pycache__/setup.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ae9ce9a4c7b0b447029734e8994defa2433b34a2
Binary files /dev/null and b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/__pycache__/setup.cpython-310.pyc differ
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/checks.pyx b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/checks.pyx
new file mode 100644
index 0000000000000000000000000000000000000000..c5529ee8fcaf533c5b503ce37ecc1c05b01d3839
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/checks.pyx
@@ -0,0 +1,35 @@
+#cython: language_level=3
+
+"""
+Functions in this module give python-space wrappers for cython functions
+exposed in numpy/__init__.pxd, so they can be tested in test_cython.py
+"""
+cimport numpy as cnp
+cnp.import_array()
+
+
+def is_td64(obj):
+    return cnp.is_timedelta64_object(obj)
+
+
+def is_dt64(obj):
+    return cnp.is_datetime64_object(obj)
+
+
+def get_dt64_value(obj):
+    return cnp.get_datetime64_value(obj)
+
+
+def get_td64_value(obj):
+    return cnp.get_timedelta64_value(obj)
+
+
+def get_dt64_unit(obj):
+    return cnp.get_datetime64_unit(obj)
+
+
+def is_integer(obj):
+    return isinstance(obj, (cnp.integer, int))
+
+def conv_intp(cnp.intp_t val):
+    return val
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/meson.build b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/meson.build
new file mode 100644
index 0000000000000000000000000000000000000000..836b74ac3866b73cb2680829c67e1b6e29399877
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/meson.build
@@ -0,0 +1,36 @@
+project('checks', 'c', 'cython')
+
+py = import('python').find_installation(pure: false)
+
+cc = meson.get_compiler('c')
+cy = meson.get_compiler('cython')
+
+if not cy.version().version_compare('>=0.29.35')
+  error('tests requires Cython >= 0.29.35')
+endif
+
+npy_include_path = run_command(py, [
+    '-c',
+    'import os; os.chdir(".."); import numpy; print(os.path.abspath(numpy.get_include()))'
+    ], check: true).stdout().strip()
+
+npy_path = run_command(py, [
+    '-c',
+    'import os; os.chdir(".."); import numpy; print(os.path.dirname(numpy.__file__).removesuffix("numpy"))'
+    ], check: true).stdout().strip()
+
+# TODO: This is a hack due to gh-25135, where cython may not find the right
+#       __init__.pyd file.
+add_project_arguments('-I', npy_path, language : 'cython')
+
+py.extension_module(
+    'checks',
+    'checks.pyx',
+    install: false,
+    c_args: [
+      '-DNPY_NO_DEPRECATED_API=0',  # Cython still uses old NumPy C API
+      # Require 1.25+ to test datetime additions
+      '-DNPY_TARGET_VERSION=NPY_2_0_API_VERSION',
+    ],
+    include_directories: [npy_include_path],
+)
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/setup.py b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/setup.py
new file mode 100644
index 0000000000000000000000000000000000000000..6e34aa7787ad04a6d36bfae8d33a18e29a3e8f47
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/cython/setup.py
@@ -0,0 +1,25 @@
+"""
+Provide python-space access to the functions exposed in numpy/__init__.pxd
+for testing.
+"""
+
+import numpy as np
+from distutils.core import setup
+from Cython.Build import cythonize
+from setuptools.extension import Extension
+import os
+
+macros = [("NPY_NO_DEPRECATED_API", 0)]
+
+checks = Extension(
+    "checks",
+    sources=[os.path.join('.', "checks.pyx")],
+    include_dirs=[np.get_include()],
+    define_macros=macros,
+)
+
+extensions = [checks]
+
+setup(
+    ext_modules=cythonize(extensions)
+)
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/__pycache__/setup.cpython-310.pyc b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/__pycache__/setup.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..0b592503707da3a04831148e42e3bee37764c7a6
Binary files /dev/null and b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/__pycache__/setup.cpython-310.pyc differ
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/limited_api.c b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/limited_api.c
new file mode 100644
index 0000000000000000000000000000000000000000..698c54c577069cdb25fb69ead7b28acd5d21d3a1
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/limited_api.c
@@ -0,0 +1,17 @@
+#define Py_LIMITED_API 0x03060000
+
+#include <Python.h>
+#include <numpy/arrayobject.h>
+#include <numpy/ufuncobject.h>
+
+static PyModuleDef moduledef = {
+    .m_base = PyModuleDef_HEAD_INIT,
+    .m_name = "limited_api"
+};
+
+PyMODINIT_FUNC PyInit_limited_api(void)
+{
+    import_array();
+    import_umath();
+    return PyModule_Create(&moduledef);
+}
diff --git a/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/setup.py b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/setup.py
new file mode 100644
index 0000000000000000000000000000000000000000..18747dc80896c087f37a878674e7c3c34bbd1e3f
--- /dev/null
+++ b/venv/lib/python3.10/site-packages/numpy/core/tests/examples/limited_api/setup.py
@@ -0,0 +1,22 @@
+"""
+Build an example package using the limited Python C API.
+"""
+
+import numpy as np
+from setuptools import setup, Extension
+import os
+
+macros = [("NPY_NO_DEPRECATED_API", 0), ("Py_LIMITED_API", "0x03060000")]
+
+limited_api = Extension(
+    "limited_api",
+    sources=[os.path.join('.', "limited_api.c")],
+    include_dirs=[np.get_include()],
+    define_macros=macros,
+)
+
+extensions = [limited_api]
+
+setup(
+    ext_modules=extensions
+)