Merge pull request #18433 from bashtage/randomstate-typing

ENH: Add typing for RandomState

4 files changed, 3101 insertions, 1 deletions

diff --git a/numpy/typing/tests/data/fail/random.py b/numpy/typing/tests/data/fail/random.py
new file mode 100644
index 000000000..c4d1e3e3e
--- /dev/null
+++ b/numpy/typing/tests/data/fail/random.py
@@ -0,0 +1,61 @@
+import numpy as np
+from typing import Any, List
+
+SEED_FLOAT: float = 457.3
+SEED_ARR_FLOAT: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.0, 2, 3, 4])
+SEED_ARRLIKE_FLOAT: List[float] = [1.0, 2.0, 3.0, 4.0]
+SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0)
+SEED_STR: str = "String seeding not allowed"
+# default rng
+np.random.default_rng(SEED_FLOAT)  # E: incompatible type
+np.random.default_rng(SEED_ARR_FLOAT)  # E: incompatible type
+np.random.default_rng(SEED_ARRLIKE_FLOAT)  # E: incompatible type
+np.random.default_rng(SEED_STR)  # E: incompatible type
+
+# Seed Sequence
+np.random.SeedSequence(SEED_FLOAT)  # E: incompatible type
+np.random.SeedSequence(SEED_ARR_FLOAT)  # E: incompatible type
+np.random.SeedSequence(SEED_ARRLIKE_FLOAT)  # E: incompatible type
+np.random.SeedSequence(SEED_SEED_SEQ)  # E: incompatible type
+np.random.SeedSequence(SEED_STR)  # E: incompatible type
+
+seed_seq: np.random.bit_generator.SeedSequence = np.random.SeedSequence()
+seed_seq.spawn(11.5)  # E: incompatible type
+seed_seq.generate_state(3.14)  # E: incompatible type
+seed_seq.generate_state(3, np.uint8)  # E: incompatible type
+seed_seq.generate_state(3, "uint8")  # E: incompatible type
+seed_seq.generate_state(3, "u1")  # E: incompatible type
+seed_seq.generate_state(3, np.uint16)  # E: incompatible type
+seed_seq.generate_state(3, "uint16")  # E: incompatible type
+seed_seq.generate_state(3, "u2")  # E: incompatible type
+seed_seq.generate_state(3, np.int32)  # E: incompatible type
+seed_seq.generate_state(3, "int32")  # E: incompatible type
+seed_seq.generate_state(3, "i4")  # E: incompatible type
+
+# Bit Generators
+np.random.MT19937(SEED_FLOAT)  # E: incompatible type
+np.random.MT19937(SEED_ARR_FLOAT)  # E: incompatible type
+np.random.MT19937(SEED_ARRLIKE_FLOAT)  # E: incompatible type
+np.random.MT19937(SEED_STR)  # E: incompatible type
+
+np.random.PCG64(SEED_FLOAT)  # E: incompatible type
+np.random.PCG64(SEED_ARR_FLOAT)  # E: incompatible type
+np.random.PCG64(SEED_ARRLIKE_FLOAT)  # E: incompatible type
+np.random.PCG64(SEED_STR)  # E: incompatible type
+
+np.random.Philox(SEED_FLOAT)  # E: incompatible type
+np.random.Philox(SEED_ARR_FLOAT)  # E: incompatible type
+np.random.Philox(SEED_ARRLIKE_FLOAT)  # E: incompatible type
+np.random.Philox(SEED_STR)  # E: incompatible type
+
+np.random.SFC64(SEED_FLOAT)  # E: incompatible type
+np.random.SFC64(SEED_ARR_FLOAT)  # E: incompatible type
+np.random.SFC64(SEED_ARRLIKE_FLOAT)  # E: incompatible type
+np.random.SFC64(SEED_STR)  # E: incompatible type
+
+# Generator
+np.random.Generator(None)  # E: incompatible type
+np.random.Generator(12333283902830213)  # E: incompatible type
+np.random.Generator("OxFEEDF00D")  # E: incompatible type
+np.random.Generator([123, 234])  # E: incompatible type
+np.random.Generator(np.array([123, 234], dtype="u4"))  # E: incompatible type
diff --git a/numpy/typing/tests/data/pass/random.py b/numpy/typing/tests/data/pass/random.py
new file mode 100644
index 000000000..05bd62112
--- /dev/null
+++ b/numpy/typing/tests/data/pass/random.py
@@ -0,0 +1,1497 @@
+from __future__ import annotations
+
+from typing import Any, List, Dict
+
+import numpy as np
+
+SEED_NONE = None
+SEED_INT = 4579435749574957634658964293569
+SEED_ARR: np.ndarray[Any, np.dtype[np.int64]] = np.array([1, 2, 3, 4], dtype=np.int64)
+SEED_ARRLIKE: List[int] = [1, 2, 3, 4]
+SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0)
+SEED_MT19937: np.random.MT19937 = np.random.MT19937(0)
+SEED_PCG64: np.random.PCG64 = np.random.PCG64(0)
+SEED_PHILOX: np.random.Philox = np.random.Philox(0)
+SEED_SFC64: np.random.SFC64 = np.random.SFC64(0)
+
+# default rng
+np.random.default_rng()
+np.random.default_rng(SEED_NONE)
+np.random.default_rng(SEED_INT)
+np.random.default_rng(SEED_ARR)
+np.random.default_rng(SEED_ARRLIKE)
+np.random.default_rng(SEED_SEED_SEQ)
+np.random.default_rng(SEED_MT19937)
+np.random.default_rng(SEED_PCG64)
+np.random.default_rng(SEED_PHILOX)
+np.random.default_rng(SEED_SFC64)
+
+# Seed Sequence
+np.random.SeedSequence(SEED_NONE)
+np.random.SeedSequence(SEED_INT)
+np.random.SeedSequence(SEED_ARR)
+np.random.SeedSequence(SEED_ARRLIKE)
+
+# Bit Generators
+np.random.MT19937(SEED_NONE)
+np.random.MT19937(SEED_INT)
+np.random.MT19937(SEED_ARR)
+np.random.MT19937(SEED_ARRLIKE)
+np.random.MT19937(SEED_SEED_SEQ)
+
+np.random.PCG64(SEED_NONE)
+np.random.PCG64(SEED_INT)
+np.random.PCG64(SEED_ARR)
+np.random.PCG64(SEED_ARRLIKE)
+np.random.PCG64(SEED_SEED_SEQ)
+
+np.random.Philox(SEED_NONE)
+np.random.Philox(SEED_INT)
+np.random.Philox(SEED_ARR)
+np.random.Philox(SEED_ARRLIKE)
+np.random.Philox(SEED_SEED_SEQ)
+
+np.random.SFC64(SEED_NONE)
+np.random.SFC64(SEED_INT)
+np.random.SFC64(SEED_ARR)
+np.random.SFC64(SEED_ARRLIKE)
+np.random.SFC64(SEED_SEED_SEQ)
+
+seed_seq: np.random.bit_generator.SeedSequence = np.random.SeedSequence(SEED_NONE)
+seed_seq.spawn(10)
+seed_seq.generate_state(3)
+seed_seq.generate_state(3, "u4")
+seed_seq.generate_state(3, "uint32")
+seed_seq.generate_state(3, "u8")
+seed_seq.generate_state(3, "uint64")
+seed_seq.generate_state(3, np.uint32)
+seed_seq.generate_state(3, np.uint64)
+
+
+def_gen: np.random.Generator = np.random.default_rng()
+
+D_arr_0p1: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.1])
+D_arr_0p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.5])
+D_arr_0p9: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.9])
+D_arr_1p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.5])
+I_arr_10: np.ndarray[Any, np.dtype[np.int_]] = np.array([10], dtype=np.int_)
+I_arr_20: np.ndarray[Any, np.dtype[np.int_]] = np.array([20], dtype=np.int_)
+D_arr_like_0p1: List[float] = [0.1]
+D_arr_like_0p5: List[float] = [0.5]
+D_arr_like_0p9: List[float] = [0.9]
+D_arr_like_1p5: List[float] = [1.5]
+I_arr_like_10: List[int] = [10]
+I_arr_like_20: List[int] = [20]
+D_2D_like: List[List[float]] = [[1, 2], [2, 3], [3, 4], [4, 5.1]]
+D_2D: np.ndarray[Any, np.dtype[np.float64]] = np.array(D_2D_like)
+
+S_out: np.ndarray[Any, np.dtype[np.float32]] = np.empty(1, dtype=np.float32)
+D_out: np.ndarray[Any, np.dtype[np.float64]] = np.empty(1)
+
+def_gen.standard_normal()
+def_gen.standard_normal(dtype=np.float32)
+def_gen.standard_normal(dtype="float32")
+def_gen.standard_normal(dtype="double")
+def_gen.standard_normal(dtype=np.float64)
+def_gen.standard_normal(size=None)
+def_gen.standard_normal(size=1)
+def_gen.standard_normal(size=1, dtype=np.float32)
+def_gen.standard_normal(size=1, dtype="f4")
+def_gen.standard_normal(size=1, dtype="float32", out=S_out)
+def_gen.standard_normal(dtype=np.float32, out=S_out)
+def_gen.standard_normal(size=1, dtype=np.float64)
+def_gen.standard_normal(size=1, dtype="float64")
+def_gen.standard_normal(size=1, dtype="f8")
+def_gen.standard_normal(out=D_out)
+def_gen.standard_normal(size=1, dtype="float64")
+def_gen.standard_normal(size=1, dtype="float64", out=D_out)
+
+def_gen.random()
+def_gen.random(dtype=np.float32)
+def_gen.random(dtype="float32")
+def_gen.random(dtype="double")
+def_gen.random(dtype=np.float64)
+def_gen.random(size=None)
+def_gen.random(size=1)
+def_gen.random(size=1, dtype=np.float32)
+def_gen.random(size=1, dtype="f4")
+def_gen.random(size=1, dtype="float32", out=S_out)
+def_gen.random(dtype=np.float32, out=S_out)
+def_gen.random(size=1, dtype=np.float64)
+def_gen.random(size=1, dtype="float64")
+def_gen.random(size=1, dtype="f8")
+def_gen.random(out=D_out)
+def_gen.random(size=1, dtype="float64")
+def_gen.random(size=1, dtype="float64", out=D_out)
+
+def_gen.standard_cauchy()
+def_gen.standard_cauchy(size=None)
+def_gen.standard_cauchy(size=1)
+
+def_gen.standard_exponential()
+def_gen.standard_exponential(method="inv")
+def_gen.standard_exponential(dtype=np.float32)
+def_gen.standard_exponential(dtype="float32")
+def_gen.standard_exponential(dtype="double")
+def_gen.standard_exponential(dtype=np.float64)
+def_gen.standard_exponential(size=None)
+def_gen.standard_exponential(size=None, method="inv")
+def_gen.standard_exponential(size=1, method="inv")
+def_gen.standard_exponential(size=1, dtype=np.float32)
+def_gen.standard_exponential(size=1, dtype="f4", method="inv")
+def_gen.standard_exponential(size=1, dtype="float32", out=S_out)
+def_gen.standard_exponential(dtype=np.float32, out=S_out)
+def_gen.standard_exponential(size=1, dtype=np.float64, method="inv")
+def_gen.standard_exponential(size=1, dtype="float64")
+def_gen.standard_exponential(size=1, dtype="f8")
+def_gen.standard_exponential(out=D_out)
+def_gen.standard_exponential(size=1, dtype="float64")
+def_gen.standard_exponential(size=1, dtype="float64", out=D_out)
+
+def_gen.zipf(1.5)
+def_gen.zipf(1.5, size=None)
+def_gen.zipf(1.5, size=1)
+def_gen.zipf(D_arr_1p5)
+def_gen.zipf(D_arr_1p5, size=1)
+def_gen.zipf(D_arr_like_1p5)
+def_gen.zipf(D_arr_like_1p5, size=1)
+
+def_gen.weibull(0.5)
+def_gen.weibull(0.5, size=None)
+def_gen.weibull(0.5, size=1)
+def_gen.weibull(D_arr_0p5)
+def_gen.weibull(D_arr_0p5, size=1)
+def_gen.weibull(D_arr_like_0p5)
+def_gen.weibull(D_arr_like_0p5, size=1)
+
+def_gen.standard_t(0.5)
+def_gen.standard_t(0.5, size=None)
+def_gen.standard_t(0.5, size=1)
+def_gen.standard_t(D_arr_0p5)
+def_gen.standard_t(D_arr_0p5, size=1)
+def_gen.standard_t(D_arr_like_0p5)
+def_gen.standard_t(D_arr_like_0p5, size=1)
+
+def_gen.poisson(0.5)
+def_gen.poisson(0.5, size=None)
+def_gen.poisson(0.5, size=1)
+def_gen.poisson(D_arr_0p5)
+def_gen.poisson(D_arr_0p5, size=1)
+def_gen.poisson(D_arr_like_0p5)
+def_gen.poisson(D_arr_like_0p5, size=1)
+
+def_gen.power(0.5)
+def_gen.power(0.5, size=None)
+def_gen.power(0.5, size=1)
+def_gen.power(D_arr_0p5)
+def_gen.power(D_arr_0p5, size=1)
+def_gen.power(D_arr_like_0p5)
+def_gen.power(D_arr_like_0p5, size=1)
+
+def_gen.pareto(0.5)
+def_gen.pareto(0.5, size=None)
+def_gen.pareto(0.5, size=1)
+def_gen.pareto(D_arr_0p5)
+def_gen.pareto(D_arr_0p5, size=1)
+def_gen.pareto(D_arr_like_0p5)
+def_gen.pareto(D_arr_like_0p5, size=1)
+
+def_gen.chisquare(0.5)
+def_gen.chisquare(0.5, size=None)
+def_gen.chisquare(0.5, size=1)
+def_gen.chisquare(D_arr_0p5)
+def_gen.chisquare(D_arr_0p5, size=1)
+def_gen.chisquare(D_arr_like_0p5)
+def_gen.chisquare(D_arr_like_0p5, size=1)
+
+def_gen.exponential(0.5)
+def_gen.exponential(0.5, size=None)
+def_gen.exponential(0.5, size=1)
+def_gen.exponential(D_arr_0p5)
+def_gen.exponential(D_arr_0p5, size=1)
+def_gen.exponential(D_arr_like_0p5)
+def_gen.exponential(D_arr_like_0p5, size=1)
+
+def_gen.geometric(0.5)
+def_gen.geometric(0.5, size=None)
+def_gen.geometric(0.5, size=1)
+def_gen.geometric(D_arr_0p5)
+def_gen.geometric(D_arr_0p5, size=1)
+def_gen.geometric(D_arr_like_0p5)
+def_gen.geometric(D_arr_like_0p5, size=1)
+
+def_gen.logseries(0.5)
+def_gen.logseries(0.5, size=None)
+def_gen.logseries(0.5, size=1)
+def_gen.logseries(D_arr_0p5)
+def_gen.logseries(D_arr_0p5, size=1)
+def_gen.logseries(D_arr_like_0p5)
+def_gen.logseries(D_arr_like_0p5, size=1)
+
+def_gen.rayleigh(0.5)
+def_gen.rayleigh(0.5, size=None)
+def_gen.rayleigh(0.5, size=1)
+def_gen.rayleigh(D_arr_0p5)
+def_gen.rayleigh(D_arr_0p5, size=1)
+def_gen.rayleigh(D_arr_like_0p5)
+def_gen.rayleigh(D_arr_like_0p5, size=1)
+
+def_gen.standard_gamma(0.5)
+def_gen.standard_gamma(0.5, size=None)
+def_gen.standard_gamma(0.5, dtype="float32")
+def_gen.standard_gamma(0.5, size=None, dtype="float32")
+def_gen.standard_gamma(0.5, size=1)
+def_gen.standard_gamma(D_arr_0p5)
+def_gen.standard_gamma(D_arr_0p5, dtype="f4")
+def_gen.standard_gamma(0.5, size=1, dtype="float32", out=S_out)
+def_gen.standard_gamma(D_arr_0p5, dtype=np.float32, out=S_out)
+def_gen.standard_gamma(D_arr_0p5, size=1)
+def_gen.standard_gamma(D_arr_like_0p5)
+def_gen.standard_gamma(D_arr_like_0p5, size=1)
+def_gen.standard_gamma(0.5, out=D_out)
+def_gen.standard_gamma(D_arr_like_0p5, out=D_out)
+def_gen.standard_gamma(D_arr_like_0p5, size=1)
+def_gen.standard_gamma(D_arr_like_0p5, size=1, out=D_out, dtype=np.float64)
+
+def_gen.vonmises(0.5, 0.5)
+def_gen.vonmises(0.5, 0.5, size=None)
+def_gen.vonmises(0.5, 0.5, size=1)
+def_gen.vonmises(D_arr_0p5, 0.5)
+def_gen.vonmises(0.5, D_arr_0p5)
+def_gen.vonmises(D_arr_0p5, 0.5, size=1)
+def_gen.vonmises(0.5, D_arr_0p5, size=1)
+def_gen.vonmises(D_arr_like_0p5, 0.5)
+def_gen.vonmises(0.5, D_arr_like_0p5)
+def_gen.vonmises(D_arr_0p5, D_arr_0p5)
+def_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.vonmises(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.wald(0.5, 0.5)
+def_gen.wald(0.5, 0.5, size=None)
+def_gen.wald(0.5, 0.5, size=1)
+def_gen.wald(D_arr_0p5, 0.5)
+def_gen.wald(0.5, D_arr_0p5)
+def_gen.wald(D_arr_0p5, 0.5, size=1)
+def_gen.wald(0.5, D_arr_0p5, size=1)
+def_gen.wald(D_arr_like_0p5, 0.5)
+def_gen.wald(0.5, D_arr_like_0p5)
+def_gen.wald(D_arr_0p5, D_arr_0p5)
+def_gen.wald(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.wald(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.wald(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.uniform(0.5, 0.5)
+def_gen.uniform(0.5, 0.5, size=None)
+def_gen.uniform(0.5, 0.5, size=1)
+def_gen.uniform(D_arr_0p5, 0.5)
+def_gen.uniform(0.5, D_arr_0p5)
+def_gen.uniform(D_arr_0p5, 0.5, size=1)
+def_gen.uniform(0.5, D_arr_0p5, size=1)
+def_gen.uniform(D_arr_like_0p5, 0.5)
+def_gen.uniform(0.5, D_arr_like_0p5)
+def_gen.uniform(D_arr_0p5, D_arr_0p5)
+def_gen.uniform(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.uniform(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.beta(0.5, 0.5)
+def_gen.beta(0.5, 0.5, size=None)
+def_gen.beta(0.5, 0.5, size=1)
+def_gen.beta(D_arr_0p5, 0.5)
+def_gen.beta(0.5, D_arr_0p5)
+def_gen.beta(D_arr_0p5, 0.5, size=1)
+def_gen.beta(0.5, D_arr_0p5, size=1)
+def_gen.beta(D_arr_like_0p5, 0.5)
+def_gen.beta(0.5, D_arr_like_0p5)
+def_gen.beta(D_arr_0p5, D_arr_0p5)
+def_gen.beta(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.beta(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.beta(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.f(0.5, 0.5)
+def_gen.f(0.5, 0.5, size=None)
+def_gen.f(0.5, 0.5, size=1)
+def_gen.f(D_arr_0p5, 0.5)
+def_gen.f(0.5, D_arr_0p5)
+def_gen.f(D_arr_0p5, 0.5, size=1)
+def_gen.f(0.5, D_arr_0p5, size=1)
+def_gen.f(D_arr_like_0p5, 0.5)
+def_gen.f(0.5, D_arr_like_0p5)
+def_gen.f(D_arr_0p5, D_arr_0p5)
+def_gen.f(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.f(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.f(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.gamma(0.5, 0.5)
+def_gen.gamma(0.5, 0.5, size=None)
+def_gen.gamma(0.5, 0.5, size=1)
+def_gen.gamma(D_arr_0p5, 0.5)
+def_gen.gamma(0.5, D_arr_0p5)
+def_gen.gamma(D_arr_0p5, 0.5, size=1)
+def_gen.gamma(0.5, D_arr_0p5, size=1)
+def_gen.gamma(D_arr_like_0p5, 0.5)
+def_gen.gamma(0.5, D_arr_like_0p5)
+def_gen.gamma(D_arr_0p5, D_arr_0p5)
+def_gen.gamma(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.gamma(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.gumbel(0.5, 0.5)
+def_gen.gumbel(0.5, 0.5, size=None)
+def_gen.gumbel(0.5, 0.5, size=1)
+def_gen.gumbel(D_arr_0p5, 0.5)
+def_gen.gumbel(0.5, D_arr_0p5)
+def_gen.gumbel(D_arr_0p5, 0.5, size=1)
+def_gen.gumbel(0.5, D_arr_0p5, size=1)
+def_gen.gumbel(D_arr_like_0p5, 0.5)
+def_gen.gumbel(0.5, D_arr_like_0p5)
+def_gen.gumbel(D_arr_0p5, D_arr_0p5)
+def_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.gumbel(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.laplace(0.5, 0.5)
+def_gen.laplace(0.5, 0.5, size=None)
+def_gen.laplace(0.5, 0.5, size=1)
+def_gen.laplace(D_arr_0p5, 0.5)
+def_gen.laplace(0.5, D_arr_0p5)
+def_gen.laplace(D_arr_0p5, 0.5, size=1)
+def_gen.laplace(0.5, D_arr_0p5, size=1)
+def_gen.laplace(D_arr_like_0p5, 0.5)
+def_gen.laplace(0.5, D_arr_like_0p5)
+def_gen.laplace(D_arr_0p5, D_arr_0p5)
+def_gen.laplace(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.laplace(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.logistic(0.5, 0.5)
+def_gen.logistic(0.5, 0.5, size=None)
+def_gen.logistic(0.5, 0.5, size=1)
+def_gen.logistic(D_arr_0p5, 0.5)
+def_gen.logistic(0.5, D_arr_0p5)
+def_gen.logistic(D_arr_0p5, 0.5, size=1)
+def_gen.logistic(0.5, D_arr_0p5, size=1)
+def_gen.logistic(D_arr_like_0p5, 0.5)
+def_gen.logistic(0.5, D_arr_like_0p5)
+def_gen.logistic(D_arr_0p5, D_arr_0p5)
+def_gen.logistic(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.logistic(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.lognormal(0.5, 0.5)
+def_gen.lognormal(0.5, 0.5, size=None)
+def_gen.lognormal(0.5, 0.5, size=1)
+def_gen.lognormal(D_arr_0p5, 0.5)
+def_gen.lognormal(0.5, D_arr_0p5)
+def_gen.lognormal(D_arr_0p5, 0.5, size=1)
+def_gen.lognormal(0.5, D_arr_0p5, size=1)
+def_gen.lognormal(D_arr_like_0p5, 0.5)
+def_gen.lognormal(0.5, D_arr_like_0p5)
+def_gen.lognormal(D_arr_0p5, D_arr_0p5)
+def_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.lognormal(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.noncentral_chisquare(0.5, 0.5)
+def_gen.noncentral_chisquare(0.5, 0.5, size=None)
+def_gen.noncentral_chisquare(0.5, 0.5, size=1)
+def_gen.noncentral_chisquare(D_arr_0p5, 0.5)
+def_gen.noncentral_chisquare(0.5, D_arr_0p5)
+def_gen.noncentral_chisquare(D_arr_0p5, 0.5, size=1)
+def_gen.noncentral_chisquare(0.5, D_arr_0p5, size=1)
+def_gen.noncentral_chisquare(D_arr_like_0p5, 0.5)
+def_gen.noncentral_chisquare(0.5, D_arr_like_0p5)
+def_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5)
+def_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.normal(0.5, 0.5)
+def_gen.normal(0.5, 0.5, size=None)
+def_gen.normal(0.5, 0.5, size=1)
+def_gen.normal(D_arr_0p5, 0.5)
+def_gen.normal(0.5, D_arr_0p5)
+def_gen.normal(D_arr_0p5, 0.5, size=1)
+def_gen.normal(0.5, D_arr_0p5, size=1)
+def_gen.normal(D_arr_like_0p5, 0.5)
+def_gen.normal(0.5, D_arr_like_0p5)
+def_gen.normal(D_arr_0p5, D_arr_0p5)
+def_gen.normal(D_arr_like_0p5, D_arr_like_0p5)
+def_gen.normal(D_arr_0p5, D_arr_0p5, size=1)
+def_gen.normal(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+def_gen.triangular(0.1, 0.5, 0.9)
+def_gen.triangular(0.1, 0.5, 0.9, size=None)
+def_gen.triangular(0.1, 0.5, 0.9, size=1)
+def_gen.triangular(D_arr_0p1, 0.5, 0.9)
+def_gen.triangular(0.1, D_arr_0p5, 0.9)
+def_gen.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)
+def_gen.triangular(0.1, D_arr_0p5, 0.9, size=1)
+def_gen.triangular(D_arr_like_0p1, 0.5, D_arr_0p9)
+def_gen.triangular(0.5, D_arr_like_0p5, 0.9)
+def_gen.triangular(D_arr_0p1, D_arr_0p5, 0.9)
+def_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9)
+def_gen.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)
+def_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)
+
+def_gen.noncentral_f(0.1, 0.5, 0.9)
+def_gen.noncentral_f(0.1, 0.5, 0.9, size=None)
+def_gen.noncentral_f(0.1, 0.5, 0.9, size=1)
+def_gen.noncentral_f(D_arr_0p1, 0.5, 0.9)
+def_gen.noncentral_f(0.1, D_arr_0p5, 0.9)
+def_gen.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)
+def_gen.noncentral_f(0.1, D_arr_0p5, 0.9, size=1)
+def_gen.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9)
+def_gen.noncentral_f(0.5, D_arr_like_0p5, 0.9)
+def_gen.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9)
+def_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9)
+def_gen.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)
+def_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)
+
+def_gen.binomial(10, 0.5)
+def_gen.binomial(10, 0.5, size=None)
+def_gen.binomial(10, 0.5, size=1)
+def_gen.binomial(I_arr_10, 0.5)
+def_gen.binomial(10, D_arr_0p5)
+def_gen.binomial(I_arr_10, 0.5, size=1)
+def_gen.binomial(10, D_arr_0p5, size=1)
+def_gen.binomial(I_arr_like_10, 0.5)
+def_gen.binomial(10, D_arr_like_0p5)
+def_gen.binomial(I_arr_10, D_arr_0p5)
+def_gen.binomial(I_arr_like_10, D_arr_like_0p5)
+def_gen.binomial(I_arr_10, D_arr_0p5, size=1)
+def_gen.binomial(I_arr_like_10, D_arr_like_0p5, size=1)
+
+def_gen.negative_binomial(10, 0.5)
+def_gen.negative_binomial(10, 0.5, size=None)
+def_gen.negative_binomial(10, 0.5, size=1)
+def_gen.negative_binomial(I_arr_10, 0.5)
+def_gen.negative_binomial(10, D_arr_0p5)
+def_gen.negative_binomial(I_arr_10, 0.5, size=1)
+def_gen.negative_binomial(10, D_arr_0p5, size=1)
+def_gen.negative_binomial(I_arr_like_10, 0.5)
+def_gen.negative_binomial(10, D_arr_like_0p5)
+def_gen.negative_binomial(I_arr_10, D_arr_0p5)
+def_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5)
+def_gen.negative_binomial(I_arr_10, D_arr_0p5, size=1)
+def_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1)
+
+def_gen.hypergeometric(20, 20, 10)
+def_gen.hypergeometric(20, 20, 10, size=None)
+def_gen.hypergeometric(20, 20, 10, size=1)
+def_gen.hypergeometric(I_arr_20, 20, 10)
+def_gen.hypergeometric(20, I_arr_20, 10)
+def_gen.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1)
+def_gen.hypergeometric(20, I_arr_20, 10, size=1)
+def_gen.hypergeometric(I_arr_like_20, 20, I_arr_10)
+def_gen.hypergeometric(20, I_arr_like_20, 10)
+def_gen.hypergeometric(I_arr_20, I_arr_20, 10)
+def_gen.hypergeometric(I_arr_like_20, I_arr_like_20, 10)
+def_gen.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1)
+def_gen.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1)
+
+I_int64_100: np.ndarray[Any, np.dtype[np.int64]] = np.array([100], dtype=np.int64)
+
+def_gen.integers(0, 100)
+def_gen.integers(100)
+def_gen.integers([100])
+def_gen.integers(0, [100])
+
+I_bool_low: np.ndarray[Any, np.dtype[np.bool_]] = np.array([0], dtype=np.bool_)
+I_bool_low_like: List[int] = [0]
+I_bool_high_open: np.ndarray[Any, np.dtype[np.bool_]] = np.array([1], dtype=np.bool_)
+I_bool_high_closed: np.ndarray[Any, np.dtype[np.bool_]] = np.array([1], dtype=np.bool_)
+
+def_gen.integers(2, dtype=bool)
+def_gen.integers(0, 2, dtype=bool)
+def_gen.integers(1, dtype=bool, endpoint=True)
+def_gen.integers(0, 1, dtype=bool, endpoint=True)
+def_gen.integers(I_bool_low_like, 1, dtype=bool, endpoint=True)
+def_gen.integers(I_bool_high_open, dtype=bool)
+def_gen.integers(I_bool_low, I_bool_high_open, dtype=bool)
+def_gen.integers(0, I_bool_high_open, dtype=bool)
+def_gen.integers(I_bool_high_closed, dtype=bool, endpoint=True)
+def_gen.integers(I_bool_low, I_bool_high_closed, dtype=bool, endpoint=True)
+def_gen.integers(0, I_bool_high_closed, dtype=bool, endpoint=True)
+
+def_gen.integers(2, dtype=np.bool_)
+def_gen.integers(0, 2, dtype=np.bool_)
+def_gen.integers(1, dtype=np.bool_, endpoint=True)
+def_gen.integers(0, 1, dtype=np.bool_, endpoint=True)
+def_gen.integers(I_bool_low_like, 1, dtype=np.bool_, endpoint=True)
+def_gen.integers(I_bool_high_open, dtype=np.bool_)
+def_gen.integers(I_bool_low, I_bool_high_open, dtype=np.bool_)
+def_gen.integers(0, I_bool_high_open, dtype=np.bool_)
+def_gen.integers(I_bool_high_closed, dtype=np.bool_, endpoint=True)
+def_gen.integers(I_bool_low, I_bool_high_closed, dtype=np.bool_, endpoint=True)
+def_gen.integers(0, I_bool_high_closed, dtype=np.bool_, endpoint=True)
+
+I_u1_low: np.ndarray[Any, np.dtype[np.uint8]] = np.array([0], dtype=np.uint8)
+I_u1_low_like: List[int] = [0]
+I_u1_high_open: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8)
+I_u1_high_closed: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8)
+
+def_gen.integers(256, dtype="u1")
+def_gen.integers(0, 256, dtype="u1")
+def_gen.integers(255, dtype="u1", endpoint=True)
+def_gen.integers(0, 255, dtype="u1", endpoint=True)
+def_gen.integers(I_u1_low_like, 255, dtype="u1", endpoint=True)
+def_gen.integers(I_u1_high_open, dtype="u1")
+def_gen.integers(I_u1_low, I_u1_high_open, dtype="u1")
+def_gen.integers(0, I_u1_high_open, dtype="u1")
+def_gen.integers(I_u1_high_closed, dtype="u1", endpoint=True)
+def_gen.integers(I_u1_low, I_u1_high_closed, dtype="u1", endpoint=True)
+def_gen.integers(0, I_u1_high_closed, dtype="u1", endpoint=True)
+
+def_gen.integers(256, dtype="uint8")
+def_gen.integers(0, 256, dtype="uint8")
+def_gen.integers(255, dtype="uint8", endpoint=True)
+def_gen.integers(0, 255, dtype="uint8", endpoint=True)
+def_gen.integers(I_u1_low_like, 255, dtype="uint8", endpoint=True)
+def_gen.integers(I_u1_high_open, dtype="uint8")
+def_gen.integers(I_u1_low, I_u1_high_open, dtype="uint8")
+def_gen.integers(0, I_u1_high_open, dtype="uint8")
+def_gen.integers(I_u1_high_closed, dtype="uint8", endpoint=True)
+def_gen.integers(I_u1_low, I_u1_high_closed, dtype="uint8", endpoint=True)
+def_gen.integers(0, I_u1_high_closed, dtype="uint8", endpoint=True)
+
+def_gen.integers(256, dtype=np.uint8)
+def_gen.integers(0, 256, dtype=np.uint8)
+def_gen.integers(255, dtype=np.uint8, endpoint=True)
+def_gen.integers(0, 255, dtype=np.uint8, endpoint=True)
+def_gen.integers(I_u1_low_like, 255, dtype=np.uint8, endpoint=True)
+def_gen.integers(I_u1_high_open, dtype=np.uint8)
+def_gen.integers(I_u1_low, I_u1_high_open, dtype=np.uint8)
+def_gen.integers(0, I_u1_high_open, dtype=np.uint8)
+def_gen.integers(I_u1_high_closed, dtype=np.uint8, endpoint=True)
+def_gen.integers(I_u1_low, I_u1_high_closed, dtype=np.uint8, endpoint=True)
+def_gen.integers(0, I_u1_high_closed, dtype=np.uint8, endpoint=True)
+
+I_u2_low: np.ndarray[Any, np.dtype[np.uint16]] = np.array([0], dtype=np.uint16)
+I_u2_low_like: List[int] = [0]
+I_u2_high_open: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16)
+I_u2_high_closed: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16)
+
+def_gen.integers(65536, dtype="u2")
+def_gen.integers(0, 65536, dtype="u2")
+def_gen.integers(65535, dtype="u2", endpoint=True)
+def_gen.integers(0, 65535, dtype="u2", endpoint=True)
+def_gen.integers(I_u2_low_like, 65535, dtype="u2", endpoint=True)
+def_gen.integers(I_u2_high_open, dtype="u2")
+def_gen.integers(I_u2_low, I_u2_high_open, dtype="u2")
+def_gen.integers(0, I_u2_high_open, dtype="u2")
+def_gen.integers(I_u2_high_closed, dtype="u2", endpoint=True)
+def_gen.integers(I_u2_low, I_u2_high_closed, dtype="u2", endpoint=True)
+def_gen.integers(0, I_u2_high_closed, dtype="u2", endpoint=True)
+
+def_gen.integers(65536, dtype="uint16")
+def_gen.integers(0, 65536, dtype="uint16")
+def_gen.integers(65535, dtype="uint16", endpoint=True)
+def_gen.integers(0, 65535, dtype="uint16", endpoint=True)
+def_gen.integers(I_u2_low_like, 65535, dtype="uint16", endpoint=True)
+def_gen.integers(I_u2_high_open, dtype="uint16")
+def_gen.integers(I_u2_low, I_u2_high_open, dtype="uint16")
+def_gen.integers(0, I_u2_high_open, dtype="uint16")
+def_gen.integers(I_u2_high_closed, dtype="uint16", endpoint=True)
+def_gen.integers(I_u2_low, I_u2_high_closed, dtype="uint16", endpoint=True)
+def_gen.integers(0, I_u2_high_closed, dtype="uint16", endpoint=True)
+
+def_gen.integers(65536, dtype=np.uint16)
+def_gen.integers(0, 65536, dtype=np.uint16)
+def_gen.integers(65535, dtype=np.uint16, endpoint=True)
+def_gen.integers(0, 65535, dtype=np.uint16, endpoint=True)
+def_gen.integers(I_u2_low_like, 65535, dtype=np.uint16, endpoint=True)
+def_gen.integers(I_u2_high_open, dtype=np.uint16)
+def_gen.integers(I_u2_low, I_u2_high_open, dtype=np.uint16)
+def_gen.integers(0, I_u2_high_open, dtype=np.uint16)
+def_gen.integers(I_u2_high_closed, dtype=np.uint16, endpoint=True)
+def_gen.integers(I_u2_low, I_u2_high_closed, dtype=np.uint16, endpoint=True)
+def_gen.integers(0, I_u2_high_closed, dtype=np.uint16, endpoint=True)
+
+I_u4_low: np.ndarray[Any, np.dtype[np.uint32]] = np.array([0], dtype=np.uint32)
+I_u4_low_like: List[int] = [0]
+I_u4_high_open: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32)
+I_u4_high_closed: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32)
+
+def_gen.integers(4294967296, dtype="u4")
+def_gen.integers(0, 4294967296, dtype="u4")
+def_gen.integers(4294967295, dtype="u4", endpoint=True)
+def_gen.integers(0, 4294967295, dtype="u4", endpoint=True)
+def_gen.integers(I_u4_low_like, 4294967295, dtype="u4", endpoint=True)
+def_gen.integers(I_u4_high_open, dtype="u4")
+def_gen.integers(I_u4_low, I_u4_high_open, dtype="u4")
+def_gen.integers(0, I_u4_high_open, dtype="u4")
+def_gen.integers(I_u4_high_closed, dtype="u4", endpoint=True)
+def_gen.integers(I_u4_low, I_u4_high_closed, dtype="u4", endpoint=True)
+def_gen.integers(0, I_u4_high_closed, dtype="u4", endpoint=True)
+
+def_gen.integers(4294967296, dtype="uint32")
+def_gen.integers(0, 4294967296, dtype="uint32")
+def_gen.integers(4294967295, dtype="uint32", endpoint=True)
+def_gen.integers(0, 4294967295, dtype="uint32", endpoint=True)
+def_gen.integers(I_u4_low_like, 4294967295, dtype="uint32", endpoint=True)
+def_gen.integers(I_u4_high_open, dtype="uint32")
+def_gen.integers(I_u4_low, I_u4_high_open, dtype="uint32")
+def_gen.integers(0, I_u4_high_open, dtype="uint32")
+def_gen.integers(I_u4_high_closed, dtype="uint32", endpoint=True)
+def_gen.integers(I_u4_low, I_u4_high_closed, dtype="uint32", endpoint=True)
+def_gen.integers(0, I_u4_high_closed, dtype="uint32", endpoint=True)
+
+def_gen.integers(4294967296, dtype=np.uint32)
+def_gen.integers(0, 4294967296, dtype=np.uint32)
+def_gen.integers(4294967295, dtype=np.uint32, endpoint=True)
+def_gen.integers(0, 4294967295, dtype=np.uint32, endpoint=True)
+def_gen.integers(I_u4_low_like, 4294967295, dtype=np.uint32, endpoint=True)
+def_gen.integers(I_u4_high_open, dtype=np.uint32)
+def_gen.integers(I_u4_low, I_u4_high_open, dtype=np.uint32)
+def_gen.integers(0, I_u4_high_open, dtype=np.uint32)
+def_gen.integers(I_u4_high_closed, dtype=np.uint32, endpoint=True)
+def_gen.integers(I_u4_low, I_u4_high_closed, dtype=np.uint32, endpoint=True)
+def_gen.integers(0, I_u4_high_closed, dtype=np.uint32, endpoint=True)
+
+I_u8_low: np.ndarray[Any, np.dtype[np.uint64]] = np.array([0], dtype=np.uint64)
+I_u8_low_like: List[int] = [0]
+I_u8_high_open: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64)
+I_u8_high_closed: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64)
+
+def_gen.integers(18446744073709551616, dtype="u8")
+def_gen.integers(0, 18446744073709551616, dtype="u8")
+def_gen.integers(18446744073709551615, dtype="u8", endpoint=True)
+def_gen.integers(0, 18446744073709551615, dtype="u8", endpoint=True)
+def_gen.integers(I_u8_low_like, 18446744073709551615, dtype="u8", endpoint=True)
+def_gen.integers(I_u8_high_open, dtype="u8")
+def_gen.integers(I_u8_low, I_u8_high_open, dtype="u8")
+def_gen.integers(0, I_u8_high_open, dtype="u8")
+def_gen.integers(I_u8_high_closed, dtype="u8", endpoint=True)
+def_gen.integers(I_u8_low, I_u8_high_closed, dtype="u8", endpoint=True)
+def_gen.integers(0, I_u8_high_closed, dtype="u8", endpoint=True)
+
+def_gen.integers(18446744073709551616, dtype="uint64")
+def_gen.integers(0, 18446744073709551616, dtype="uint64")
+def_gen.integers(18446744073709551615, dtype="uint64", endpoint=True)
+def_gen.integers(0, 18446744073709551615, dtype="uint64", endpoint=True)
+def_gen.integers(I_u8_low_like, 18446744073709551615, dtype="uint64", endpoint=True)
+def_gen.integers(I_u8_high_open, dtype="uint64")
+def_gen.integers(I_u8_low, I_u8_high_open, dtype="uint64")
+def_gen.integers(0, I_u8_high_open, dtype="uint64")
+def_gen.integers(I_u8_high_closed, dtype="uint64", endpoint=True)
+def_gen.integers(I_u8_low, I_u8_high_closed, dtype="uint64", endpoint=True)
+def_gen.integers(0, I_u8_high_closed, dtype="uint64", endpoint=True)
+
+def_gen.integers(18446744073709551616, dtype=np.uint64)
+def_gen.integers(0, 18446744073709551616, dtype=np.uint64)
+def_gen.integers(18446744073709551615, dtype=np.uint64, endpoint=True)
+def_gen.integers(0, 18446744073709551615, dtype=np.uint64, endpoint=True)
+def_gen.integers(I_u8_low_like, 18446744073709551615, dtype=np.uint64, endpoint=True)
+def_gen.integers(I_u8_high_open, dtype=np.uint64)
+def_gen.integers(I_u8_low, I_u8_high_open, dtype=np.uint64)
+def_gen.integers(0, I_u8_high_open, dtype=np.uint64)
+def_gen.integers(I_u8_high_closed, dtype=np.uint64, endpoint=True)
+def_gen.integers(I_u8_low, I_u8_high_closed, dtype=np.uint64, endpoint=True)
+def_gen.integers(0, I_u8_high_closed, dtype=np.uint64, endpoint=True)
+
+I_i1_low: np.ndarray[Any, np.dtype[np.int8]] = np.array([-128], dtype=np.int8)
+I_i1_low_like: List[int] = [-128]
+I_i1_high_open: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8)
+I_i1_high_closed: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8)
+
+def_gen.integers(128, dtype="i1")
+def_gen.integers(-128, 128, dtype="i1")
+def_gen.integers(127, dtype="i1", endpoint=True)
+def_gen.integers(-128, 127, dtype="i1", endpoint=True)
+def_gen.integers(I_i1_low_like, 127, dtype="i1", endpoint=True)
+def_gen.integers(I_i1_high_open, dtype="i1")
+def_gen.integers(I_i1_low, I_i1_high_open, dtype="i1")
+def_gen.integers(-128, I_i1_high_open, dtype="i1")
+def_gen.integers(I_i1_high_closed, dtype="i1", endpoint=True)
+def_gen.integers(I_i1_low, I_i1_high_closed, dtype="i1", endpoint=True)
+def_gen.integers(-128, I_i1_high_closed, dtype="i1", endpoint=True)
+
+def_gen.integers(128, dtype="int8")
+def_gen.integers(-128, 128, dtype="int8")
+def_gen.integers(127, dtype="int8", endpoint=True)
+def_gen.integers(-128, 127, dtype="int8", endpoint=True)
+def_gen.integers(I_i1_low_like, 127, dtype="int8", endpoint=True)
+def_gen.integers(I_i1_high_open, dtype="int8")
+def_gen.integers(I_i1_low, I_i1_high_open, dtype="int8")
+def_gen.integers(-128, I_i1_high_open, dtype="int8")
+def_gen.integers(I_i1_high_closed, dtype="int8", endpoint=True)
+def_gen.integers(I_i1_low, I_i1_high_closed, dtype="int8", endpoint=True)
+def_gen.integers(-128, I_i1_high_closed, dtype="int8", endpoint=True)
+
+def_gen.integers(128, dtype=np.int8)
+def_gen.integers(-128, 128, dtype=np.int8)
+def_gen.integers(127, dtype=np.int8, endpoint=True)
+def_gen.integers(-128, 127, dtype=np.int8, endpoint=True)
+def_gen.integers(I_i1_low_like, 127, dtype=np.int8, endpoint=True)
+def_gen.integers(I_i1_high_open, dtype=np.int8)
+def_gen.integers(I_i1_low, I_i1_high_open, dtype=np.int8)
+def_gen.integers(-128, I_i1_high_open, dtype=np.int8)
+def_gen.integers(I_i1_high_closed, dtype=np.int8, endpoint=True)
+def_gen.integers(I_i1_low, I_i1_high_closed, dtype=np.int8, endpoint=True)
+def_gen.integers(-128, I_i1_high_closed, dtype=np.int8, endpoint=True)
+
+I_i2_low: np.ndarray[Any, np.dtype[np.int16]] = np.array([-32768], dtype=np.int16)
+I_i2_low_like: List[int] = [-32768]
+I_i2_high_open: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16)
+I_i2_high_closed: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16)
+
+def_gen.integers(32768, dtype="i2")
+def_gen.integers(-32768, 32768, dtype="i2")
+def_gen.integers(32767, dtype="i2", endpoint=True)
+def_gen.integers(-32768, 32767, dtype="i2", endpoint=True)
+def_gen.integers(I_i2_low_like, 32767, dtype="i2", endpoint=True)
+def_gen.integers(I_i2_high_open, dtype="i2")
+def_gen.integers(I_i2_low, I_i2_high_open, dtype="i2")
+def_gen.integers(-32768, I_i2_high_open, dtype="i2")
+def_gen.integers(I_i2_high_closed, dtype="i2", endpoint=True)
+def_gen.integers(I_i2_low, I_i2_high_closed, dtype="i2", endpoint=True)
+def_gen.integers(-32768, I_i2_high_closed, dtype="i2", endpoint=True)
+
+def_gen.integers(32768, dtype="int16")
+def_gen.integers(-32768, 32768, dtype="int16")
+def_gen.integers(32767, dtype="int16", endpoint=True)
+def_gen.integers(-32768, 32767, dtype="int16", endpoint=True)
+def_gen.integers(I_i2_low_like, 32767, dtype="int16", endpoint=True)
+def_gen.integers(I_i2_high_open, dtype="int16")
+def_gen.integers(I_i2_low, I_i2_high_open, dtype="int16")
+def_gen.integers(-32768, I_i2_high_open, dtype="int16")
+def_gen.integers(I_i2_high_closed, dtype="int16", endpoint=True)
+def_gen.integers(I_i2_low, I_i2_high_closed, dtype="int16", endpoint=True)
+def_gen.integers(-32768, I_i2_high_closed, dtype="int16", endpoint=True)
+
+def_gen.integers(32768, dtype=np.int16)
+def_gen.integers(-32768, 32768, dtype=np.int16)
+def_gen.integers(32767, dtype=np.int16, endpoint=True)
+def_gen.integers(-32768, 32767, dtype=np.int16, endpoint=True)
+def_gen.integers(I_i2_low_like, 32767, dtype=np.int16, endpoint=True)
+def_gen.integers(I_i2_high_open, dtype=np.int16)
+def_gen.integers(I_i2_low, I_i2_high_open, dtype=np.int16)
+def_gen.integers(-32768, I_i2_high_open, dtype=np.int16)
+def_gen.integers(I_i2_high_closed, dtype=np.int16, endpoint=True)
+def_gen.integers(I_i2_low, I_i2_high_closed, dtype=np.int16, endpoint=True)
+def_gen.integers(-32768, I_i2_high_closed, dtype=np.int16, endpoint=True)
+
+I_i4_low: np.ndarray[Any, np.dtype[np.int32]] = np.array([-2147483648], dtype=np.int32)
+I_i4_low_like: List[int] = [-2147483648]
+I_i4_high_open: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32)
+I_i4_high_closed: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32)
+
+def_gen.integers(2147483648, dtype="i4")
+def_gen.integers(-2147483648, 2147483648, dtype="i4")
+def_gen.integers(2147483647, dtype="i4", endpoint=True)
+def_gen.integers(-2147483648, 2147483647, dtype="i4", endpoint=True)
+def_gen.integers(I_i4_low_like, 2147483647, dtype="i4", endpoint=True)
+def_gen.integers(I_i4_high_open, dtype="i4")
+def_gen.integers(I_i4_low, I_i4_high_open, dtype="i4")
+def_gen.integers(-2147483648, I_i4_high_open, dtype="i4")
+def_gen.integers(I_i4_high_closed, dtype="i4", endpoint=True)
+def_gen.integers(I_i4_low, I_i4_high_closed, dtype="i4", endpoint=True)
+def_gen.integers(-2147483648, I_i4_high_closed, dtype="i4", endpoint=True)
+
+def_gen.integers(2147483648, dtype="int32")
+def_gen.integers(-2147483648, 2147483648, dtype="int32")
+def_gen.integers(2147483647, dtype="int32", endpoint=True)
+def_gen.integers(-2147483648, 2147483647, dtype="int32", endpoint=True)
+def_gen.integers(I_i4_low_like, 2147483647, dtype="int32", endpoint=True)
+def_gen.integers(I_i4_high_open, dtype="int32")
+def_gen.integers(I_i4_low, I_i4_high_open, dtype="int32")
+def_gen.integers(-2147483648, I_i4_high_open, dtype="int32")
+def_gen.integers(I_i4_high_closed, dtype="int32", endpoint=True)
+def_gen.integers(I_i4_low, I_i4_high_closed, dtype="int32", endpoint=True)
+def_gen.integers(-2147483648, I_i4_high_closed, dtype="int32", endpoint=True)
+
+def_gen.integers(2147483648, dtype=np.int32)
+def_gen.integers(-2147483648, 2147483648, dtype=np.int32)
+def_gen.integers(2147483647, dtype=np.int32, endpoint=True)
+def_gen.integers(-2147483648, 2147483647, dtype=np.int32, endpoint=True)
+def_gen.integers(I_i4_low_like, 2147483647, dtype=np.int32, endpoint=True)
+def_gen.integers(I_i4_high_open, dtype=np.int32)
+def_gen.integers(I_i4_low, I_i4_high_open, dtype=np.int32)
+def_gen.integers(-2147483648, I_i4_high_open, dtype=np.int32)
+def_gen.integers(I_i4_high_closed, dtype=np.int32, endpoint=True)
+def_gen.integers(I_i4_low, I_i4_high_closed, dtype=np.int32, endpoint=True)
+def_gen.integers(-2147483648, I_i4_high_closed, dtype=np.int32, endpoint=True)
+
+I_i8_low: np.ndarray[Any, np.dtype[np.int64]] = np.array([-9223372036854775808], dtype=np.int64)
+I_i8_low_like: List[int] = [-9223372036854775808]
+I_i8_high_open: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64)
+I_i8_high_closed: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64)
+
+def_gen.integers(9223372036854775808, dtype="i8")
+def_gen.integers(-9223372036854775808, 9223372036854775808, dtype="i8")
+def_gen.integers(9223372036854775807, dtype="i8", endpoint=True)
+def_gen.integers(-9223372036854775808, 9223372036854775807, dtype="i8", endpoint=True)
+def_gen.integers(I_i8_low_like, 9223372036854775807, dtype="i8", endpoint=True)
+def_gen.integers(I_i8_high_open, dtype="i8")
+def_gen.integers(I_i8_low, I_i8_high_open, dtype="i8")
+def_gen.integers(-9223372036854775808, I_i8_high_open, dtype="i8")
+def_gen.integers(I_i8_high_closed, dtype="i8", endpoint=True)
+def_gen.integers(I_i8_low, I_i8_high_closed, dtype="i8", endpoint=True)
+def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="i8", endpoint=True)
+
+def_gen.integers(9223372036854775808, dtype="int64")
+def_gen.integers(-9223372036854775808, 9223372036854775808, dtype="int64")
+def_gen.integers(9223372036854775807, dtype="int64", endpoint=True)
+def_gen.integers(-9223372036854775808, 9223372036854775807, dtype="int64", endpoint=True)
+def_gen.integers(I_i8_low_like, 9223372036854775807, dtype="int64", endpoint=True)
+def_gen.integers(I_i8_high_open, dtype="int64")
+def_gen.integers(I_i8_low, I_i8_high_open, dtype="int64")
+def_gen.integers(-9223372036854775808, I_i8_high_open, dtype="int64")
+def_gen.integers(I_i8_high_closed, dtype="int64", endpoint=True)
+def_gen.integers(I_i8_low, I_i8_high_closed, dtype="int64", endpoint=True)
+def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="int64", endpoint=True)
+
+def_gen.integers(9223372036854775808, dtype=np.int64)
+def_gen.integers(-9223372036854775808, 9223372036854775808, dtype=np.int64)
+def_gen.integers(9223372036854775807, dtype=np.int64, endpoint=True)
+def_gen.integers(-9223372036854775808, 9223372036854775807, dtype=np.int64, endpoint=True)
+def_gen.integers(I_i8_low_like, 9223372036854775807, dtype=np.int64, endpoint=True)
+def_gen.integers(I_i8_high_open, dtype=np.int64)
+def_gen.integers(I_i8_low, I_i8_high_open, dtype=np.int64)
+def_gen.integers(-9223372036854775808, I_i8_high_open, dtype=np.int64)
+def_gen.integers(I_i8_high_closed, dtype=np.int64, endpoint=True)
+def_gen.integers(I_i8_low, I_i8_high_closed, dtype=np.int64, endpoint=True)
+def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype=np.int64, endpoint=True)
+
+
+def_gen.bit_generator
+
+def_gen.bytes(2)
+
+def_gen.choice(5)
+def_gen.choice(5, 3)
+def_gen.choice(5, 3, replace=True)
+def_gen.choice(5, 3, p=[1 / 5] * 5)
+def_gen.choice(5, 3, p=[1 / 5] * 5, replace=False)
+
+def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"])
+def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3)
+def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4)
+def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True)
+def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4]))
+
+def_gen.dirichlet([0.5, 0.5])
+def_gen.dirichlet(np.array([0.5, 0.5]))
+def_gen.dirichlet(np.array([0.5, 0.5]), size=3)
+
+def_gen.multinomial(20, [1 / 6.0] * 6)
+def_gen.multinomial(20, np.array([0.5, 0.5]))
+def_gen.multinomial(20, [1 / 6.0] * 6, size=2)
+def_gen.multinomial([[10], [20]], [1 / 6.0] * 6, size=(2, 2))
+def_gen.multinomial(np.array([[10], [20]]), np.array([0.5, 0.5]), size=(2, 2))
+
+def_gen.multivariate_hypergeometric([3, 5, 7], 2)
+def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2)
+def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=4)
+def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=(4, 7))
+def_gen.multivariate_hypergeometric([3, 5, 7], 2, method="count")
+def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, method="marginals")
+
+def_gen.multivariate_normal([0.0], [[1.0]])
+def_gen.multivariate_normal([0.0], np.array([[1.0]]))
+def_gen.multivariate_normal(np.array([0.0]), [[1.0]])
+def_gen.multivariate_normal([0.0], np.array([[1.0]]))
+
+def_gen.permutation(10)
+def_gen.permutation([1, 2, 3, 4])
+def_gen.permutation(np.array([1, 2, 3, 4]))
+def_gen.permutation(D_2D, axis=1)
+def_gen.permuted(D_2D)
+def_gen.permuted(D_2D_like)
+def_gen.permuted(D_2D, axis=1)
+def_gen.permuted(D_2D, out=D_2D)
+def_gen.permuted(D_2D_like, out=D_2D)
+def_gen.permuted(D_2D_like, out=D_2D)
+def_gen.permuted(D_2D, axis=1, out=D_2D)
+
+def_gen.shuffle(np.arange(10))
+def_gen.shuffle([1, 2, 3, 4, 5])
+def_gen.shuffle(D_2D, axis=1)
+
+def_gen.__str__()
+def_gen.__repr__()
+def_gen_state: Dict[str, Any]
+def_gen_state = def_gen.__getstate__()
+def_gen.__setstate__(def_gen_state)
+
+# RandomState
+random_st: np.random.RandomState = np.random.RandomState()
+
+random_st.standard_normal()
+random_st.standard_normal(size=None)
+random_st.standard_normal(size=1)
+
+random_st.random()
+random_st.random(size=None)
+random_st.random(size=1)
+
+random_st.standard_cauchy()
+random_st.standard_cauchy(size=None)
+random_st.standard_cauchy(size=1)
+
+random_st.standard_exponential()
+random_st.standard_exponential(size=None)
+random_st.standard_exponential(size=1)
+
+random_st.zipf(1.5)
+random_st.zipf(1.5, size=None)
+random_st.zipf(1.5, size=1)
+random_st.zipf(D_arr_1p5)
+random_st.zipf(D_arr_1p5, size=1)
+random_st.zipf(D_arr_like_1p5)
+random_st.zipf(D_arr_like_1p5, size=1)
+
+random_st.weibull(0.5)
+random_st.weibull(0.5, size=None)
+random_st.weibull(0.5, size=1)
+random_st.weibull(D_arr_0p5)
+random_st.weibull(D_arr_0p5, size=1)
+random_st.weibull(D_arr_like_0p5)
+random_st.weibull(D_arr_like_0p5, size=1)
+
+random_st.standard_t(0.5)
+random_st.standard_t(0.5, size=None)
+random_st.standard_t(0.5, size=1)
+random_st.standard_t(D_arr_0p5)
+random_st.standard_t(D_arr_0p5, size=1)
+random_st.standard_t(D_arr_like_0p5)
+random_st.standard_t(D_arr_like_0p5, size=1)
+
+random_st.poisson(0.5)
+random_st.poisson(0.5, size=None)
+random_st.poisson(0.5, size=1)
+random_st.poisson(D_arr_0p5)
+random_st.poisson(D_arr_0p5, size=1)
+random_st.poisson(D_arr_like_0p5)
+random_st.poisson(D_arr_like_0p5, size=1)
+
+random_st.power(0.5)
+random_st.power(0.5, size=None)
+random_st.power(0.5, size=1)
+random_st.power(D_arr_0p5)
+random_st.power(D_arr_0p5, size=1)
+random_st.power(D_arr_like_0p5)
+random_st.power(D_arr_like_0p5, size=1)
+
+random_st.pareto(0.5)
+random_st.pareto(0.5, size=None)
+random_st.pareto(0.5, size=1)
+random_st.pareto(D_arr_0p5)
+random_st.pareto(D_arr_0p5, size=1)
+random_st.pareto(D_arr_like_0p5)
+random_st.pareto(D_arr_like_0p5, size=1)
+
+random_st.chisquare(0.5)
+random_st.chisquare(0.5, size=None)
+random_st.chisquare(0.5, size=1)
+random_st.chisquare(D_arr_0p5)
+random_st.chisquare(D_arr_0p5, size=1)
+random_st.chisquare(D_arr_like_0p5)
+random_st.chisquare(D_arr_like_0p5, size=1)
+
+random_st.exponential(0.5)
+random_st.exponential(0.5, size=None)
+random_st.exponential(0.5, size=1)
+random_st.exponential(D_arr_0p5)
+random_st.exponential(D_arr_0p5, size=1)
+random_st.exponential(D_arr_like_0p5)
+random_st.exponential(D_arr_like_0p5, size=1)
+
+random_st.geometric(0.5)
+random_st.geometric(0.5, size=None)
+random_st.geometric(0.5, size=1)
+random_st.geometric(D_arr_0p5)
+random_st.geometric(D_arr_0p5, size=1)
+random_st.geometric(D_arr_like_0p5)
+random_st.geometric(D_arr_like_0p5, size=1)
+
+random_st.logseries(0.5)
+random_st.logseries(0.5, size=None)
+random_st.logseries(0.5, size=1)
+random_st.logseries(D_arr_0p5)
+random_st.logseries(D_arr_0p5, size=1)
+random_st.logseries(D_arr_like_0p5)
+random_st.logseries(D_arr_like_0p5, size=1)
+
+random_st.rayleigh(0.5)
+random_st.rayleigh(0.5, size=None)
+random_st.rayleigh(0.5, size=1)
+random_st.rayleigh(D_arr_0p5)
+random_st.rayleigh(D_arr_0p5, size=1)
+random_st.rayleigh(D_arr_like_0p5)
+random_st.rayleigh(D_arr_like_0p5, size=1)
+
+random_st.standard_gamma(0.5)
+random_st.standard_gamma(0.5, size=None)
+random_st.standard_gamma(0.5, size=1)
+random_st.standard_gamma(D_arr_0p5)
+random_st.standard_gamma(D_arr_0p5, size=1)
+random_st.standard_gamma(D_arr_like_0p5)
+random_st.standard_gamma(D_arr_like_0p5, size=1)
+random_st.standard_gamma(D_arr_like_0p5, size=1)
+
+random_st.vonmises(0.5, 0.5)
+random_st.vonmises(0.5, 0.5, size=None)
+random_st.vonmises(0.5, 0.5, size=1)
+random_st.vonmises(D_arr_0p5, 0.5)
+random_st.vonmises(0.5, D_arr_0p5)
+random_st.vonmises(D_arr_0p5, 0.5, size=1)
+random_st.vonmises(0.5, D_arr_0p5, size=1)
+random_st.vonmises(D_arr_like_0p5, 0.5)
+random_st.vonmises(0.5, D_arr_like_0p5)
+random_st.vonmises(D_arr_0p5, D_arr_0p5)
+random_st.vonmises(D_arr_like_0p5, D_arr_like_0p5)
+random_st.vonmises(D_arr_0p5, D_arr_0p5, size=1)
+random_st.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.wald(0.5, 0.5)
+random_st.wald(0.5, 0.5, size=None)
+random_st.wald(0.5, 0.5, size=1)
+random_st.wald(D_arr_0p5, 0.5)
+random_st.wald(0.5, D_arr_0p5)
+random_st.wald(D_arr_0p5, 0.5, size=1)
+random_st.wald(0.5, D_arr_0p5, size=1)
+random_st.wald(D_arr_like_0p5, 0.5)
+random_st.wald(0.5, D_arr_like_0p5)
+random_st.wald(D_arr_0p5, D_arr_0p5)
+random_st.wald(D_arr_like_0p5, D_arr_like_0p5)
+random_st.wald(D_arr_0p5, D_arr_0p5, size=1)
+random_st.wald(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.uniform(0.5, 0.5)
+random_st.uniform(0.5, 0.5, size=None)
+random_st.uniform(0.5, 0.5, size=1)
+random_st.uniform(D_arr_0p5, 0.5)
+random_st.uniform(0.5, D_arr_0p5)
+random_st.uniform(D_arr_0p5, 0.5, size=1)
+random_st.uniform(0.5, D_arr_0p5, size=1)
+random_st.uniform(D_arr_like_0p5, 0.5)
+random_st.uniform(0.5, D_arr_like_0p5)
+random_st.uniform(D_arr_0p5, D_arr_0p5)
+random_st.uniform(D_arr_like_0p5, D_arr_like_0p5)
+random_st.uniform(D_arr_0p5, D_arr_0p5, size=1)
+random_st.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.beta(0.5, 0.5)
+random_st.beta(0.5, 0.5, size=None)
+random_st.beta(0.5, 0.5, size=1)
+random_st.beta(D_arr_0p5, 0.5)
+random_st.beta(0.5, D_arr_0p5)
+random_st.beta(D_arr_0p5, 0.5, size=1)
+random_st.beta(0.5, D_arr_0p5, size=1)
+random_st.beta(D_arr_like_0p5, 0.5)
+random_st.beta(0.5, D_arr_like_0p5)
+random_st.beta(D_arr_0p5, D_arr_0p5)
+random_st.beta(D_arr_like_0p5, D_arr_like_0p5)
+random_st.beta(D_arr_0p5, D_arr_0p5, size=1)
+random_st.beta(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.f(0.5, 0.5)
+random_st.f(0.5, 0.5, size=None)
+random_st.f(0.5, 0.5, size=1)
+random_st.f(D_arr_0p5, 0.5)
+random_st.f(0.5, D_arr_0p5)
+random_st.f(D_arr_0p5, 0.5, size=1)
+random_st.f(0.5, D_arr_0p5, size=1)
+random_st.f(D_arr_like_0p5, 0.5)
+random_st.f(0.5, D_arr_like_0p5)
+random_st.f(D_arr_0p5, D_arr_0p5)
+random_st.f(D_arr_like_0p5, D_arr_like_0p5)
+random_st.f(D_arr_0p5, D_arr_0p5, size=1)
+random_st.f(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.gamma(0.5, 0.5)
+random_st.gamma(0.5, 0.5, size=None)
+random_st.gamma(0.5, 0.5, size=1)
+random_st.gamma(D_arr_0p5, 0.5)
+random_st.gamma(0.5, D_arr_0p5)
+random_st.gamma(D_arr_0p5, 0.5, size=1)
+random_st.gamma(0.5, D_arr_0p5, size=1)
+random_st.gamma(D_arr_like_0p5, 0.5)
+random_st.gamma(0.5, D_arr_like_0p5)
+random_st.gamma(D_arr_0p5, D_arr_0p5)
+random_st.gamma(D_arr_like_0p5, D_arr_like_0p5)
+random_st.gamma(D_arr_0p5, D_arr_0p5, size=1)
+random_st.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.gumbel(0.5, 0.5)
+random_st.gumbel(0.5, 0.5, size=None)
+random_st.gumbel(0.5, 0.5, size=1)
+random_st.gumbel(D_arr_0p5, 0.5)
+random_st.gumbel(0.5, D_arr_0p5)
+random_st.gumbel(D_arr_0p5, 0.5, size=1)
+random_st.gumbel(0.5, D_arr_0p5, size=1)
+random_st.gumbel(D_arr_like_0p5, 0.5)
+random_st.gumbel(0.5, D_arr_like_0p5)
+random_st.gumbel(D_arr_0p5, D_arr_0p5)
+random_st.gumbel(D_arr_like_0p5, D_arr_like_0p5)
+random_st.gumbel(D_arr_0p5, D_arr_0p5, size=1)
+random_st.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.laplace(0.5, 0.5)
+random_st.laplace(0.5, 0.5, size=None)
+random_st.laplace(0.5, 0.5, size=1)
+random_st.laplace(D_arr_0p5, 0.5)
+random_st.laplace(0.5, D_arr_0p5)
+random_st.laplace(D_arr_0p5, 0.5, size=1)
+random_st.laplace(0.5, D_arr_0p5, size=1)
+random_st.laplace(D_arr_like_0p5, 0.5)
+random_st.laplace(0.5, D_arr_like_0p5)
+random_st.laplace(D_arr_0p5, D_arr_0p5)
+random_st.laplace(D_arr_like_0p5, D_arr_like_0p5)
+random_st.laplace(D_arr_0p5, D_arr_0p5, size=1)
+random_st.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.logistic(0.5, 0.5)
+random_st.logistic(0.5, 0.5, size=None)
+random_st.logistic(0.5, 0.5, size=1)
+random_st.logistic(D_arr_0p5, 0.5)
+random_st.logistic(0.5, D_arr_0p5)
+random_st.logistic(D_arr_0p5, 0.5, size=1)
+random_st.logistic(0.5, D_arr_0p5, size=1)
+random_st.logistic(D_arr_like_0p5, 0.5)
+random_st.logistic(0.5, D_arr_like_0p5)
+random_st.logistic(D_arr_0p5, D_arr_0p5)
+random_st.logistic(D_arr_like_0p5, D_arr_like_0p5)
+random_st.logistic(D_arr_0p5, D_arr_0p5, size=1)
+random_st.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.lognormal(0.5, 0.5)
+random_st.lognormal(0.5, 0.5, size=None)
+random_st.lognormal(0.5, 0.5, size=1)
+random_st.lognormal(D_arr_0p5, 0.5)
+random_st.lognormal(0.5, D_arr_0p5)
+random_st.lognormal(D_arr_0p5, 0.5, size=1)
+random_st.lognormal(0.5, D_arr_0p5, size=1)
+random_st.lognormal(D_arr_like_0p5, 0.5)
+random_st.lognormal(0.5, D_arr_like_0p5)
+random_st.lognormal(D_arr_0p5, D_arr_0p5)
+random_st.lognormal(D_arr_like_0p5, D_arr_like_0p5)
+random_st.lognormal(D_arr_0p5, D_arr_0p5, size=1)
+random_st.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.noncentral_chisquare(0.5, 0.5)
+random_st.noncentral_chisquare(0.5, 0.5, size=None)
+random_st.noncentral_chisquare(0.5, 0.5, size=1)
+random_st.noncentral_chisquare(D_arr_0p5, 0.5)
+random_st.noncentral_chisquare(0.5, D_arr_0p5)
+random_st.noncentral_chisquare(D_arr_0p5, 0.5, size=1)
+random_st.noncentral_chisquare(0.5, D_arr_0p5, size=1)
+random_st.noncentral_chisquare(D_arr_like_0p5, 0.5)
+random_st.noncentral_chisquare(0.5, D_arr_like_0p5)
+random_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5)
+random_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5)
+random_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1)
+random_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.normal(0.5, 0.5)
+random_st.normal(0.5, 0.5, size=None)
+random_st.normal(0.5, 0.5, size=1)
+random_st.normal(D_arr_0p5, 0.5)
+random_st.normal(0.5, D_arr_0p5)
+random_st.normal(D_arr_0p5, 0.5, size=1)
+random_st.normal(0.5, D_arr_0p5, size=1)
+random_st.normal(D_arr_like_0p5, 0.5)
+random_st.normal(0.5, D_arr_like_0p5)
+random_st.normal(D_arr_0p5, D_arr_0p5)
+random_st.normal(D_arr_like_0p5, D_arr_like_0p5)
+random_st.normal(D_arr_0p5, D_arr_0p5, size=1)
+random_st.normal(D_arr_like_0p5, D_arr_like_0p5, size=1)
+
+random_st.triangular(0.1, 0.5, 0.9)
+random_st.triangular(0.1, 0.5, 0.9, size=None)
+random_st.triangular(0.1, 0.5, 0.9, size=1)
+random_st.triangular(D_arr_0p1, 0.5, 0.9)
+random_st.triangular(0.1, D_arr_0p5, 0.9)
+random_st.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)
+random_st.triangular(0.1, D_arr_0p5, 0.9, size=1)
+random_st.triangular(D_arr_like_0p1, 0.5, D_arr_0p9)
+random_st.triangular(0.5, D_arr_like_0p5, 0.9)
+random_st.triangular(D_arr_0p1, D_arr_0p5, 0.9)
+random_st.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9)
+random_st.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)
+random_st.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)
+
+random_st.noncentral_f(0.1, 0.5, 0.9)
+random_st.noncentral_f(0.1, 0.5, 0.9, size=None)
+random_st.noncentral_f(0.1, 0.5, 0.9, size=1)
+random_st.noncentral_f(D_arr_0p1, 0.5, 0.9)
+random_st.noncentral_f(0.1, D_arr_0p5, 0.9)
+random_st.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)
+random_st.noncentral_f(0.1, D_arr_0p5, 0.9, size=1)
+random_st.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9)
+random_st.noncentral_f(0.5, D_arr_like_0p5, 0.9)
+random_st.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9)
+random_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9)
+random_st.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)
+random_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)
+
+random_st.binomial(10, 0.5)
+random_st.binomial(10, 0.5, size=None)
+random_st.binomial(10, 0.5, size=1)
+random_st.binomial(I_arr_10, 0.5)
+random_st.binomial(10, D_arr_0p5)
+random_st.binomial(I_arr_10, 0.5, size=1)
+random_st.binomial(10, D_arr_0p5, size=1)
+random_st.binomial(I_arr_like_10, 0.5)
+random_st.binomial(10, D_arr_like_0p5)
+random_st.binomial(I_arr_10, D_arr_0p5)
+random_st.binomial(I_arr_like_10, D_arr_like_0p5)
+random_st.binomial(I_arr_10, D_arr_0p5, size=1)
+random_st.binomial(I_arr_like_10, D_arr_like_0p5, size=1)
+
+random_st.negative_binomial(10, 0.5)
+random_st.negative_binomial(10, 0.5, size=None)
+random_st.negative_binomial(10, 0.5, size=1)
+random_st.negative_binomial(I_arr_10, 0.5)
+random_st.negative_binomial(10, D_arr_0p5)
+random_st.negative_binomial(I_arr_10, 0.5, size=1)
+random_st.negative_binomial(10, D_arr_0p5, size=1)
+random_st.negative_binomial(I_arr_like_10, 0.5)
+random_st.negative_binomial(10, D_arr_like_0p5)
+random_st.negative_binomial(I_arr_10, D_arr_0p5)
+random_st.negative_binomial(I_arr_like_10, D_arr_like_0p5)
+random_st.negative_binomial(I_arr_10, D_arr_0p5, size=1)
+random_st.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1)
+
+random_st.hypergeometric(20, 20, 10)
+random_st.hypergeometric(20, 20, 10, size=None)
+random_st.hypergeometric(20, 20, 10, size=1)
+random_st.hypergeometric(I_arr_20, 20, 10)
+random_st.hypergeometric(20, I_arr_20, 10)
+random_st.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1)
+random_st.hypergeometric(20, I_arr_20, 10, size=1)
+random_st.hypergeometric(I_arr_like_20, 20, I_arr_10)
+random_st.hypergeometric(20, I_arr_like_20, 10)
+random_st.hypergeometric(I_arr_20, I_arr_20, 10)
+random_st.hypergeometric(I_arr_like_20, I_arr_like_20, 10)
+random_st.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1)
+random_st.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1)
+
+random_st.randint(0, 100)
+random_st.randint(100)
+random_st.randint([100])
+random_st.randint(0, [100])
+
+random_st.randint(2, dtype=bool)
+random_st.randint(0, 2, dtype=bool)
+random_st.randint(I_bool_high_open, dtype=bool)
+random_st.randint(I_bool_low, I_bool_high_open, dtype=bool)
+random_st.randint(0, I_bool_high_open, dtype=bool)
+
+random_st.randint(2, dtype=np.bool_)
+random_st.randint(0, 2, dtype=np.bool_)
+random_st.randint(I_bool_high_open, dtype=np.bool_)
+random_st.randint(I_bool_low, I_bool_high_open, dtype=np.bool_)
+random_st.randint(0, I_bool_high_open, dtype=np.bool_)
+
+random_st.randint(256, dtype="u1")
+random_st.randint(0, 256, dtype="u1")
+random_st.randint(I_u1_high_open, dtype="u1")
+random_st.randint(I_u1_low, I_u1_high_open, dtype="u1")
+random_st.randint(0, I_u1_high_open, dtype="u1")
+
+random_st.randint(256, dtype="uint8")
+random_st.randint(0, 256, dtype="uint8")
+random_st.randint(I_u1_high_open, dtype="uint8")
+random_st.randint(I_u1_low, I_u1_high_open, dtype="uint8")
+random_st.randint(0, I_u1_high_open, dtype="uint8")
+
+random_st.randint(256, dtype=np.uint8)
+random_st.randint(0, 256, dtype=np.uint8)
+random_st.randint(I_u1_high_open, dtype=np.uint8)
+random_st.randint(I_u1_low, I_u1_high_open, dtype=np.uint8)
+random_st.randint(0, I_u1_high_open, dtype=np.uint8)
+
+random_st.randint(65536, dtype="u2")
+random_st.randint(0, 65536, dtype="u2")
+random_st.randint(I_u2_high_open, dtype="u2")
+random_st.randint(I_u2_low, I_u2_high_open, dtype="u2")
+random_st.randint(0, I_u2_high_open, dtype="u2")
+
+random_st.randint(65536, dtype="uint16")
+random_st.randint(0, 65536, dtype="uint16")
+random_st.randint(I_u2_high_open, dtype="uint16")
+random_st.randint(I_u2_low, I_u2_high_open, dtype="uint16")
+random_st.randint(0, I_u2_high_open, dtype="uint16")
+
+random_st.randint(65536, dtype=np.uint16)
+random_st.randint(0, 65536, dtype=np.uint16)
+random_st.randint(I_u2_high_open, dtype=np.uint16)
+random_st.randint(I_u2_low, I_u2_high_open, dtype=np.uint16)
+random_st.randint(0, I_u2_high_open, dtype=np.uint16)
+
+random_st.randint(4294967296, dtype="u4")
+random_st.randint(0, 4294967296, dtype="u4")
+random_st.randint(I_u4_high_open, dtype="u4")
+random_st.randint(I_u4_low, I_u4_high_open, dtype="u4")
+random_st.randint(0, I_u4_high_open, dtype="u4")
+
+random_st.randint(4294967296, dtype="uint32")
+random_st.randint(0, 4294967296, dtype="uint32")
+random_st.randint(I_u4_high_open, dtype="uint32")
+random_st.randint(I_u4_low, I_u4_high_open, dtype="uint32")
+random_st.randint(0, I_u4_high_open, dtype="uint32")
+
+random_st.randint(4294967296, dtype=np.uint32)
+random_st.randint(0, 4294967296, dtype=np.uint32)
+random_st.randint(I_u4_high_open, dtype=np.uint32)
+random_st.randint(I_u4_low, I_u4_high_open, dtype=np.uint32)
+random_st.randint(0, I_u4_high_open, dtype=np.uint32)
+
+
+random_st.randint(18446744073709551616, dtype="u8")
+random_st.randint(0, 18446744073709551616, dtype="u8")
+random_st.randint(I_u8_high_open, dtype="u8")
+random_st.randint(I_u8_low, I_u8_high_open, dtype="u8")
+random_st.randint(0, I_u8_high_open, dtype="u8")
+
+random_st.randint(18446744073709551616, dtype="uint64")
+random_st.randint(0, 18446744073709551616, dtype="uint64")
+random_st.randint(I_u8_high_open, dtype="uint64")
+random_st.randint(I_u8_low, I_u8_high_open, dtype="uint64")
+random_st.randint(0, I_u8_high_open, dtype="uint64")
+
+random_st.randint(18446744073709551616, dtype=np.uint64)
+random_st.randint(0, 18446744073709551616, dtype=np.uint64)
+random_st.randint(I_u8_high_open, dtype=np.uint64)
+random_st.randint(I_u8_low, I_u8_high_open, dtype=np.uint64)
+random_st.randint(0, I_u8_high_open, dtype=np.uint64)
+
+random_st.randint(128, dtype="i1")
+random_st.randint(-128, 128, dtype="i1")
+random_st.randint(I_i1_high_open, dtype="i1")
+random_st.randint(I_i1_low, I_i1_high_open, dtype="i1")
+random_st.randint(-128, I_i1_high_open, dtype="i1")
+
+random_st.randint(128, dtype="int8")
+random_st.randint(-128, 128, dtype="int8")
+random_st.randint(I_i1_high_open, dtype="int8")
+random_st.randint(I_i1_low, I_i1_high_open, dtype="int8")
+random_st.randint(-128, I_i1_high_open, dtype="int8")
+
+random_st.randint(128, dtype=np.int8)
+random_st.randint(-128, 128, dtype=np.int8)
+random_st.randint(I_i1_high_open, dtype=np.int8)
+random_st.randint(I_i1_low, I_i1_high_open, dtype=np.int8)
+random_st.randint(-128, I_i1_high_open, dtype=np.int8)
+
+random_st.randint(32768, dtype="i2")
+random_st.randint(-32768, 32768, dtype="i2")
+random_st.randint(I_i2_high_open, dtype="i2")
+random_st.randint(I_i2_low, I_i2_high_open, dtype="i2")
+random_st.randint(-32768, I_i2_high_open, dtype="i2")
+random_st.randint(32768, dtype="int16")
+random_st.randint(-32768, 32768, dtype="int16")
+random_st.randint(I_i2_high_open, dtype="int16")
+random_st.randint(I_i2_low, I_i2_high_open, dtype="int16")
+random_st.randint(-32768, I_i2_high_open, dtype="int16")
+random_st.randint(32768, dtype=np.int16)
+random_st.randint(-32768, 32768, dtype=np.int16)
+random_st.randint(I_i2_high_open, dtype=np.int16)
+random_st.randint(I_i2_low, I_i2_high_open, dtype=np.int16)
+random_st.randint(-32768, I_i2_high_open, dtype=np.int16)
+
+random_st.randint(2147483648, dtype="i4")
+random_st.randint(-2147483648, 2147483648, dtype="i4")
+random_st.randint(I_i4_high_open, dtype="i4")
+random_st.randint(I_i4_low, I_i4_high_open, dtype="i4")
+random_st.randint(-2147483648, I_i4_high_open, dtype="i4")
+
+random_st.randint(2147483648, dtype="int32")
+random_st.randint(-2147483648, 2147483648, dtype="int32")
+random_st.randint(I_i4_high_open, dtype="int32")
+random_st.randint(I_i4_low, I_i4_high_open, dtype="int32")
+random_st.randint(-2147483648, I_i4_high_open, dtype="int32")
+
+random_st.randint(2147483648, dtype=np.int32)
+random_st.randint(-2147483648, 2147483648, dtype=np.int32)
+random_st.randint(I_i4_high_open, dtype=np.int32)
+random_st.randint(I_i4_low, I_i4_high_open, dtype=np.int32)
+random_st.randint(-2147483648, I_i4_high_open, dtype=np.int32)
+
+random_st.randint(9223372036854775808, dtype="i8")
+random_st.randint(-9223372036854775808, 9223372036854775808, dtype="i8")
+random_st.randint(I_i8_high_open, dtype="i8")
+random_st.randint(I_i8_low, I_i8_high_open, dtype="i8")
+random_st.randint(-9223372036854775808, I_i8_high_open, dtype="i8")
+
+random_st.randint(9223372036854775808, dtype="int64")
+random_st.randint(-9223372036854775808, 9223372036854775808, dtype="int64")
+random_st.randint(I_i8_high_open, dtype="int64")
+random_st.randint(I_i8_low, I_i8_high_open, dtype="int64")
+random_st.randint(-9223372036854775808, I_i8_high_open, dtype="int64")
+
+random_st.randint(9223372036854775808, dtype=np.int64)
+random_st.randint(-9223372036854775808, 9223372036854775808, dtype=np.int64)
+random_st.randint(I_i8_high_open, dtype=np.int64)
+random_st.randint(I_i8_low, I_i8_high_open, dtype=np.int64)
+random_st.randint(-9223372036854775808, I_i8_high_open, dtype=np.int64)
+
+bg: np.random.BitGenerator = random_st._bit_generator
+
+random_st.bytes(2)
+
+random_st.choice(5)
+random_st.choice(5, 3)
+random_st.choice(5, 3, replace=True)
+random_st.choice(5, 3, p=[1 / 5] * 5)
+random_st.choice(5, 3, p=[1 / 5] * 5, replace=False)
+
+random_st.choice(["pooh", "rabbit", "piglet", "Christopher"])
+random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3)
+random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4)
+random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True)
+random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4]))
+
+random_st.dirichlet([0.5, 0.5])
+random_st.dirichlet(np.array([0.5, 0.5]))
+random_st.dirichlet(np.array([0.5, 0.5]), size=3)
+
+random_st.multinomial(20, [1 / 6.0] * 6)
+random_st.multinomial(20, np.array([0.5, 0.5]))
+random_st.multinomial(20, [1 / 6.0] * 6, size=2)
+
+random_st.multivariate_normal([0.0], [[1.0]])
+random_st.multivariate_normal([0.0], np.array([[1.0]]))
+random_st.multivariate_normal(np.array([0.0]), [[1.0]])
+random_st.multivariate_normal([0.0], np.array([[1.0]]))
+
+random_st.permutation(10)
+random_st.permutation([1, 2, 3, 4])
+random_st.permutation(np.array([1, 2, 3, 4]))
+random_st.permutation(D_2D)
+
+random_st.shuffle(np.arange(10))
+random_st.shuffle([1, 2, 3, 4, 5])
+random_st.shuffle(D_2D)
+
+np.random.RandomState(SEED_PCG64)
+np.random.RandomState(0)
+np.random.RandomState([0, 1, 2])
+random_st.__str__()
+random_st.__repr__()
+random_st_state = random_st.__getstate__()
+random_st.__setstate__(random_st_state)
+random_st.seed()
+random_st.seed(1)
+random_st.seed([0, 1])
+random_st_get_state = random_st.get_state()
+random_st_get_state_legacy = random_st.get_state(legacy=True)
+random_st.set_state(random_st_get_state)
+
+random_st.rand()
+random_st.rand(1)
+random_st.rand(1, 2)
+random_st.randn()
+random_st.randn(1)
+random_st.randn(1, 2)
+random_st.random_sample()
+random_st.random_sample(1)
+random_st.random_sample(size=(1, 2))
+
+random_st.tomaxint()
+random_st.tomaxint(1)
+random_st.tomaxint((1,))
diff --git a/numpy/typing/tests/data/reveal/random.py b/numpy/typing/tests/data/reveal/random.py
new file mode 100644
index 000000000..6fc35aced
--- /dev/null
+++ b/numpy/typing/tests/data/reveal/random.py
@@ -0,0 +1,1539 @@
+from __future__ import annotations
+
+from typing import Any, List
+
+import numpy as np
+
+def_rng = np.random.default_rng()
+seed_seq = np.random.SeedSequence()
+mt19937 = np.random.MT19937()
+pcg64 = np.random.PCG64()
+sfc64 = np.random.SFC64()
+philox = np.random.Philox()
+seedless_seq = np.random.bit_generator.SeedlessSeedSequence()
+
+reveal_type(def_rng)  # E: numpy.random._generator.Generator
+reveal_type(mt19937)  # E: numpy.random._mt19937.MT19937
+reveal_type(pcg64)  # E: numpy.random._pcg64.PCG64
+reveal_type(sfc64)  # E: numpy.random._sfc64.SFC64
+reveal_type(philox)  # E: numpy.random._philox.Philox
+reveal_type(seed_seq)  # E: numpy.random.bit_generator.SeedSequence
+reveal_type(seedless_seq)  # E: numpy.random.bit_generator.SeedlessSeedSequence
+
+mt19937_jumped = mt19937.jumped()
+mt19937_jumped3 = mt19937.jumped(3)
+mt19937_raw = mt19937.random_raw()
+mt19937_raw_arr = mt19937.random_raw(5)
+
+reveal_type(mt19937_jumped)  # E: numpy.random._mt19937.MT19937
+reveal_type(mt19937_jumped3)  # E: numpy.random._mt19937.MT19937
+reveal_type(mt19937_raw)  # E: int
+reveal_type(mt19937_raw_arr)  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(mt19937.lock)  # E: threading.Lock
+
+pcg64_jumped = pcg64.jumped()
+pcg64_jumped3 = pcg64.jumped(3)
+pcg64_adv = pcg64.advance(3)
+pcg64_raw = pcg64.random_raw()
+pcg64_raw_arr = pcg64.random_raw(5)
+
+reveal_type(pcg64_jumped)  # E: numpy.random._pcg64.PCG64
+reveal_type(pcg64_jumped3)  # E: numpy.random._pcg64.PCG64
+reveal_type(pcg64_adv)  # E: numpy.random._pcg64.PCG64
+reveal_type(pcg64_raw)  # E: int
+reveal_type(pcg64_raw_arr)  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(pcg64.lock)  # E: threading.Lock
+
+philox_jumped = philox.jumped()
+philox_jumped3 = philox.jumped(3)
+philox_adv = philox.advance(3)
+philox_raw = philox.random_raw()
+philox_raw_arr = philox.random_raw(5)
+
+reveal_type(philox_jumped)  # E: numpy.random._philox.Philox
+reveal_type(philox_jumped3)  # E: numpy.random._philox.Philox
+reveal_type(philox_adv)  # E: numpy.random._philox.Philox
+reveal_type(philox_raw)  # E: int
+reveal_type(philox_raw_arr)  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(philox.lock)  # E: threading.Lock
+
+sfc64_raw = sfc64.random_raw()
+sfc64_raw_arr = sfc64.random_raw(5)
+
+reveal_type(sfc64_raw)  # E: int
+reveal_type(sfc64_raw_arr)  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(sfc64.lock)  # E: threading.Lock
+
+reveal_type(seed_seq.pool)  # numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(seed_seq.entropy)  # E:Union[None, int, Sequence[int]]
+reveal_type(seed_seq.spawn(1))  # E: list[numpy.random.bit_generator.SeedSequence]
+reveal_type(seed_seq.generate_state(8, "uint32"))  # E: numpy.ndarray[Any, numpy.dtype[Union[numpy.unsignedinteger[numpy.typing._32Bit], numpy.unsignedinteger[numpy.typing._64Bit]]]]
+reveal_type(seed_seq.generate_state(8, "uint64"))  # E: numpy.ndarray[Any, numpy.dtype[Union[numpy.unsignedinteger[numpy.typing._32Bit], numpy.unsignedinteger[numpy.typing._64Bit]]]]
+
+
+def_gen: np.random.Generator = np.random.default_rng()
+
+D_arr_0p1: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.1])
+D_arr_0p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.5])
+D_arr_0p9: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.9])
+D_arr_1p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.5])
+I_arr_10: np.ndarray[Any, np.dtype[np.int_]] = np.array([10], dtype=np.int_)
+I_arr_20: np.ndarray[Any, np.dtype[np.int_]] = np.array([20], dtype=np.int_)
+D_arr_like_0p1: List[float] = [0.1]
+D_arr_like_0p5: List[float] = [0.5]
+D_arr_like_0p9: List[float] = [0.9]
+D_arr_like_1p5: List[float] = [1.5]
+I_arr_like_10: List[int] = [10]
+I_arr_like_20: List[int] = [20]
+D_2D_like: List[List[float]] = [[1, 2], [2, 3], [3, 4], [4, 5.1]]
+D_2D: np.ndarray[Any, np.dtype[np.float64]] = np.array(D_2D_like)
+S_out: np.ndarray[Any, np.dtype[np.float32]] = np.empty(1, dtype=np.float32)
+D_out: np.ndarray[Any, np.dtype[np.float64]] = np.empty(1)
+
+reveal_type(def_gen.standard_normal())  # E: float
+reveal_type(def_gen.standard_normal(dtype=np.float32))  # E: float
+reveal_type(def_gen.standard_normal(dtype="float32"))  # E: float
+reveal_type(def_gen.standard_normal(dtype="double"))  # E: float
+reveal_type(def_gen.standard_normal(dtype=np.float64))  # E: float
+reveal_type(def_gen.standard_normal(size=None))  # E: float
+reveal_type(def_gen.standard_normal(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype=np.float32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype="f4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype="float32", out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_normal(dtype=np.float32, out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype=np.float64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype="float64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype="f8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_normal(out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype="float64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_normal(size=1, dtype="float64", out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.random())  # E: float
+reveal_type(def_gen.random(dtype=np.float32))  # E: float
+reveal_type(def_gen.random(dtype="float32"))  # E: float
+reveal_type(def_gen.random(dtype="double"))  # E: float
+reveal_type(def_gen.random(dtype=np.float64))  # E: float
+reveal_type(def_gen.random(size=None))  # E: float
+reveal_type(def_gen.random(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.random(size=1, dtype=np.float32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.random(size=1, dtype="f4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.random(size=1, dtype="float32", out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.random(dtype=np.float32, out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.random(size=1, dtype=np.float64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.random(size=1, dtype="float64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.random(size=1, dtype="f8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.random(out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.random(size=1, dtype="float64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.random(size=1, dtype="float64", out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.standard_cauchy())  # E: float
+reveal_type(def_gen.standard_cauchy(size=None))  # E: float
+reveal_type(def_gen.standard_cauchy(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.standard_exponential())  # E: float
+reveal_type(def_gen.standard_exponential(method="inv"))  # E: float
+reveal_type(def_gen.standard_exponential(dtype=np.float32))  # E: float
+reveal_type(def_gen.standard_exponential(dtype="float32"))  # E: float
+reveal_type(def_gen.standard_exponential(dtype="double"))  # E: float
+reveal_type(def_gen.standard_exponential(dtype=np.float64))  # E: float
+reveal_type(def_gen.standard_exponential(size=None))  # E: float
+reveal_type(def_gen.standard_exponential(size=None, method="inv"))  # E: float
+reveal_type(def_gen.standard_exponential(size=1, method="inv"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype=np.float32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype="f4", method="inv"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype="float32", out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_exponential(dtype=np.float32, out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype=np.float64, method="inv"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype="float64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype="f8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_exponential(out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype="float64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_exponential(size=1, dtype="float64", out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.zipf(1.5))  # E: int
+reveal_type(def_gen.zipf(1.5, size=None))  # E: int
+reveal_type(def_gen.zipf(1.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.zipf(D_arr_1p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.zipf(D_arr_1p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.zipf(D_arr_like_1p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.zipf(D_arr_like_1p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.weibull(0.5))  # E: float
+reveal_type(def_gen.weibull(0.5, size=None))  # E: float
+reveal_type(def_gen.weibull(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.weibull(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.weibull(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.weibull(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.weibull(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.standard_t(0.5))  # E: float
+reveal_type(def_gen.standard_t(0.5, size=None))  # E: float
+reveal_type(def_gen.standard_t(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.standard_t(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.standard_t(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.standard_t(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.standard_t(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.poisson(0.5))  # E: int
+reveal_type(def_gen.poisson(0.5, size=None))  # E: int
+reveal_type(def_gen.poisson(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.poisson(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.poisson(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.poisson(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.poisson(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.power(0.5))  # E: float
+reveal_type(def_gen.power(0.5, size=None))  # E: float
+reveal_type(def_gen.power(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.power(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.power(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.power(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.power(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.pareto(0.5))  # E: float
+reveal_type(def_gen.pareto(0.5, size=None))  # E: float
+reveal_type(def_gen.pareto(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.pareto(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.pareto(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.pareto(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.pareto(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.chisquare(0.5))  # E: float
+reveal_type(def_gen.chisquare(0.5, size=None))  # E: float
+reveal_type(def_gen.chisquare(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.chisquare(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.chisquare(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.chisquare(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.chisquare(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.exponential(0.5))  # E: float
+reveal_type(def_gen.exponential(0.5, size=None))  # E: float
+reveal_type(def_gen.exponential(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.exponential(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.exponential(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.exponential(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.exponential(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.geometric(0.5))  # E: int
+reveal_type(def_gen.geometric(0.5, size=None))  # E: int
+reveal_type(def_gen.geometric(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.geometric(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.geometric(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.geometric(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.geometric(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.logseries(0.5))  # E: int
+reveal_type(def_gen.logseries(0.5, size=None))  # E: int
+reveal_type(def_gen.logseries(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.logseries(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.logseries(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.logseries(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.logseries(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.rayleigh(0.5))  # E: float
+reveal_type(def_gen.rayleigh(0.5, size=None))  # E: float
+reveal_type(def_gen.rayleigh(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.rayleigh(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.rayleigh(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.rayleigh(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.rayleigh(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.standard_gamma(0.5))  # E: float
+reveal_type(def_gen.standard_gamma(0.5, size=None))  # E: float
+reveal_type(def_gen.standard_gamma(0.5, dtype="float32"))  # E: float
+reveal_type(def_gen.standard_gamma(0.5, size=None, dtype="float32"))  # E: float
+reveal_type(def_gen.standard_gamma(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_0p5, dtype="f4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_gamma(0.5, size=1, dtype="float32", out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_0p5, dtype=np.float32, out=S_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._32Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(0.5, out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_like_0p5, out=D_out))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(def_gen.standard_gamma(D_arr_like_0p5, size=1, out=D_out, dtype=np.float64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.vonmises(0.5, 0.5))  # E: float
+reveal_type(def_gen.vonmises(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.vonmises(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.wald(0.5, 0.5))  # E: float
+reveal_type(def_gen.wald(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.wald(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.wald(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.uniform(0.5, 0.5))  # E: float
+reveal_type(def_gen.uniform(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.uniform(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.beta(0.5, 0.5))  # E: float
+reveal_type(def_gen.beta(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.beta(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.beta(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.f(0.5, 0.5))  # E: float
+reveal_type(def_gen.f(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.f(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.f(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.gamma(0.5, 0.5))  # E: float
+reveal_type(def_gen.gamma(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.gamma(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.gumbel(0.5, 0.5))  # E: float
+reveal_type(def_gen.gumbel(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.gumbel(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.laplace(0.5, 0.5))  # E: float
+reveal_type(def_gen.laplace(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.laplace(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.logistic(0.5, 0.5))  # E: float
+reveal_type(def_gen.logistic(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.logistic(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.lognormal(0.5, 0.5))  # E: float
+reveal_type(def_gen.lognormal(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.lognormal(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.noncentral_chisquare(0.5, 0.5))  # E: float
+reveal_type(def_gen.noncentral_chisquare(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.noncentral_chisquare(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.normal(0.5, 0.5))  # E: float
+reveal_type(def_gen.normal(0.5, 0.5, size=None))  # E: float
+reveal_type(def_gen.normal(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.normal(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.triangular(0.1, 0.5, 0.9))  # E: float
+reveal_type(def_gen.triangular(0.1, 0.5, 0.9, size=None))  # E: float
+reveal_type(def_gen.triangular(0.1, 0.5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_0p1, 0.5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(0.1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(0.1, D_arr_0p5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_like_0p1, 0.5, D_arr_0p9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(0.5, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_0p1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.noncentral_f(0.1, 0.5, 0.9))  # E: float
+reveal_type(def_gen.noncentral_f(0.1, 0.5, 0.9, size=None))  # E: float
+reveal_type(def_gen.noncentral_f(0.1, 0.5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_0p1, 0.5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(0.1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(0.1, D_arr_0p5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(0.5, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.binomial(10, 0.5))  # E: int
+reveal_type(def_gen.binomial(10, 0.5, size=None))  # E: int
+reveal_type(def_gen.binomial(10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_like_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_like_10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.binomial(I_arr_like_10, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.negative_binomial(10, 0.5))  # E: int
+reveal_type(def_gen.negative_binomial(10, 0.5, size=None))  # E: int
+reveal_type(def_gen.negative_binomial(10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_like_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.hypergeometric(20, 20, 10))  # E: int
+reveal_type(def_gen.hypergeometric(20, 20, 10, size=None))  # E: int
+reveal_type(def_gen.hypergeometric(20, 20, 10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_20, 20, 10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(20, I_arr_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(20, I_arr_20, 10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_like_20, 20, I_arr_10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(20, I_arr_like_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_20, I_arr_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_like_20, I_arr_like_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+I_int64_100: np.ndarray[Any, np.dtype[np.int64]] = np.array([100], dtype=np.int64)
+
+reveal_type(def_gen.integers(0, 100))  # E: int
+reveal_type(def_gen.integers(100))  # E: int
+reveal_type(def_gen.integers([100]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, [100]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+I_bool_low: np.ndarray[Any, np.dtype[np.bool_]] = np.array([0], dtype=np.bool_)
+I_bool_low_like: List[int] = [0]
+I_bool_high_open: np.ndarray[Any, np.dtype[np.bool_]] = np.array([1], dtype=np.bool_)
+I_bool_high_closed: np.ndarray[Any, np.dtype[np.bool_]] = np.array([1], dtype=np.bool_)
+
+reveal_type(def_gen.integers(2, dtype=bool))  # E: builtins.bool
+reveal_type(def_gen.integers(0, 2, dtype=bool))  # E: builtins.bool
+reveal_type(def_gen.integers(1, dtype=bool, endpoint=True))  # E: builtins.bool
+reveal_type(def_gen.integers(0, 1, dtype=bool, endpoint=True))  # E: builtins.bool
+reveal_type(def_gen.integers(I_bool_low_like, 1, dtype=bool, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_high_open, dtype=bool))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_low, I_bool_high_open, dtype=bool))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(0, I_bool_high_open, dtype=bool))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_high_closed, dtype=bool, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_low, I_bool_high_closed, dtype=bool, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(0, I_bool_high_closed, dtype=bool, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+
+reveal_type(def_gen.integers(2, dtype=np.bool_))  # E: builtins.bool
+reveal_type(def_gen.integers(0, 2, dtype=np.bool_))  # E: builtins.bool
+reveal_type(def_gen.integers(1, dtype=np.bool_, endpoint=True))  # E: builtins.bool
+reveal_type(def_gen.integers(0, 1, dtype=np.bool_, endpoint=True))  # E: builtins.bool
+reveal_type(def_gen.integers(I_bool_low_like, 1, dtype=np.bool_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_high_open, dtype=np.bool_))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_low, I_bool_high_open, dtype=np.bool_))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(0, I_bool_high_open, dtype=np.bool_))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_high_closed, dtype=np.bool_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(I_bool_low, I_bool_high_closed, dtype=np.bool_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(def_gen.integers(0, I_bool_high_closed, dtype=np.bool_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+
+I_u1_low: np.ndarray[Any, np.dtype[np.uint8]] = np.array([0], dtype=np.uint8)
+I_u1_low_like: List[int] = [0]
+I_u1_high_open: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8)
+I_u1_high_closed: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8)
+
+reveal_type(def_gen.integers(256, dtype="u1"))  # E: int
+reveal_type(def_gen.integers(0, 256, dtype="u1"))  # E: int
+reveal_type(def_gen.integers(255, dtype="u1", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 255, dtype="u1", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u1_low_like, 255, dtype="u1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_high_open, dtype="u1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_low, I_u1_high_open, dtype="u1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(0, I_u1_high_open, dtype="u1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_high_closed, dtype="u1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_low, I_u1_high_closed, dtype="u1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(0, I_u1_high_closed, dtype="u1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+
+reveal_type(def_gen.integers(256, dtype="uint8"))  # E: int
+reveal_type(def_gen.integers(0, 256, dtype="uint8"))  # E: int
+reveal_type(def_gen.integers(255, dtype="uint8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 255, dtype="uint8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u1_low_like, 255, dtype="uint8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_high_open, dtype="uint8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_low, I_u1_high_open, dtype="uint8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(0, I_u1_high_open, dtype="uint8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_high_closed, dtype="uint8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_low, I_u1_high_closed, dtype="uint8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(0, I_u1_high_closed, dtype="uint8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+
+reveal_type(def_gen.integers(256, dtype=np.uint8))  # E: int
+reveal_type(def_gen.integers(0, 256, dtype=np.uint8))  # E: int
+reveal_type(def_gen.integers(255, dtype=np.uint8, endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 255, dtype=np.uint8, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u1_low_like, 255, dtype=np.uint8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_high_open, dtype=np.uint8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_low, I_u1_high_open, dtype=np.uint8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(0, I_u1_high_open, dtype=np.uint8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_high_closed, dtype=np.uint8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_u1_low, I_u1_high_closed, dtype=np.uint8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(0, I_u1_high_closed, dtype=np.uint8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+
+I_u2_low: np.ndarray[Any, np.dtype[np.uint16]] = np.array([0], dtype=np.uint16)
+I_u2_low_like: List[int] = [0]
+I_u2_high_open: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16)
+I_u2_high_closed: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16)
+
+reveal_type(def_gen.integers(65536, dtype="u2"))  # E: int
+reveal_type(def_gen.integers(0, 65536, dtype="u2"))  # E: int
+reveal_type(def_gen.integers(65535, dtype="u2", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 65535, dtype="u2", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u2_low_like, 65535, dtype="u2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_high_open, dtype="u2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_low, I_u2_high_open, dtype="u2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(0, I_u2_high_open, dtype="u2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_high_closed, dtype="u2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_low, I_u2_high_closed, dtype="u2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(0, I_u2_high_closed, dtype="u2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+
+reveal_type(def_gen.integers(65536, dtype="uint16"))  # E: int
+reveal_type(def_gen.integers(0, 65536, dtype="uint16"))  # E: int
+reveal_type(def_gen.integers(65535, dtype="uint16", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 65535, dtype="uint16", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u2_low_like, 65535, dtype="uint16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_high_open, dtype="uint16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_low, I_u2_high_open, dtype="uint16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(0, I_u2_high_open, dtype="uint16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_high_closed, dtype="uint16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_low, I_u2_high_closed, dtype="uint16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(0, I_u2_high_closed, dtype="uint16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+
+reveal_type(def_gen.integers(65536, dtype=np.uint16))  # E: int
+reveal_type(def_gen.integers(0, 65536, dtype=np.uint16))  # E: int
+reveal_type(def_gen.integers(65535, dtype=np.uint16, endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 65535, dtype=np.uint16, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u2_low_like, 65535, dtype=np.uint16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_high_open, dtype=np.uint16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_low, I_u2_high_open, dtype=np.uint16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(0, I_u2_high_open, dtype=np.uint16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_high_closed, dtype=np.uint16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_u2_low, I_u2_high_closed, dtype=np.uint16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(0, I_u2_high_closed, dtype=np.uint16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+
+I_u4_low: np.ndarray[Any, np.dtype[np.uint32]] = np.array([0], dtype=np.uint32)
+I_u4_low_like: List[int] = [0]
+I_u4_high_open: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32)
+I_u4_high_closed: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32)
+
+reveal_type(def_gen.integers(4294967296, dtype=np.int_))  # E: int
+reveal_type(def_gen.integers(0, 4294967296, dtype=np.int_))  # E: int
+reveal_type(def_gen.integers(4294967295, dtype=np.int_, endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 4294967295, dtype=np.int_, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u4_low_like, 4294967295, dtype=np.int_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(def_gen.integers(I_u4_high_open, dtype=np.int_))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_open, dtype=np.int_))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(def_gen.integers(0, I_u4_high_open, dtype=np.int_))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(def_gen.integers(I_u4_high_closed, dtype=np.int_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_closed, dtype=np.int_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(def_gen.integers(0, I_u4_high_closed, dtype=np.int_, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+
+reveal_type(def_gen.integers(4294967296, dtype="u4"))  # E: int
+reveal_type(def_gen.integers(0, 4294967296, dtype="u4"))  # E: int
+reveal_type(def_gen.integers(4294967295, dtype="u4", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 4294967295, dtype="u4", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u4_low_like, 4294967295, dtype="u4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_high_open, dtype="u4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_open, dtype="u4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(0, I_u4_high_open, dtype="u4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_high_closed, dtype="u4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_closed, dtype="u4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(0, I_u4_high_closed, dtype="u4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+
+reveal_type(def_gen.integers(4294967296, dtype="uint32"))  # E: int
+reveal_type(def_gen.integers(0, 4294967296, dtype="uint32"))  # E: int
+reveal_type(def_gen.integers(4294967295, dtype="uint32", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 4294967295, dtype="uint32", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u4_low_like, 4294967295, dtype="uint32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_high_open, dtype="uint32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_open, dtype="uint32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(0, I_u4_high_open, dtype="uint32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_high_closed, dtype="uint32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_closed, dtype="uint32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(0, I_u4_high_closed, dtype="uint32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+
+reveal_type(def_gen.integers(4294967296, dtype=np.uint32))  # E: int
+reveal_type(def_gen.integers(0, 4294967296, dtype=np.uint32))  # E: int
+reveal_type(def_gen.integers(4294967295, dtype=np.uint32, endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 4294967295, dtype=np.uint32, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u4_low_like, 4294967295, dtype=np.uint32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_high_open, dtype=np.uint32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_open, dtype=np.uint32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(0, I_u4_high_open, dtype=np.uint32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_high_closed, dtype=np.uint32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_closed, dtype=np.uint32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(0, I_u4_high_closed, dtype=np.uint32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+
+reveal_type(def_gen.integers(4294967296, dtype=np.uint))  # E: int
+reveal_type(def_gen.integers(0, 4294967296, dtype=np.uint))  # E: int
+reveal_type(def_gen.integers(4294967295, dtype=np.uint, endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 4294967295, dtype=np.uint, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u4_low_like, 4294967295, dtype=np.uint, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(def_gen.integers(I_u4_high_open, dtype=np.uint))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_open, dtype=np.uint))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(def_gen.integers(0, I_u4_high_open, dtype=np.uint))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(def_gen.integers(I_u4_high_closed, dtype=np.uint, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(def_gen.integers(I_u4_low, I_u4_high_closed, dtype=np.uint, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(def_gen.integers(0, I_u4_high_closed, dtype=np.uint, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+
+I_u8_low: np.ndarray[Any, np.dtype[np.uint64]] = np.array([0], dtype=np.uint64)
+I_u8_low_like: List[int] = [0]
+I_u8_high_open: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64)
+I_u8_high_closed: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64)
+
+reveal_type(def_gen.integers(18446744073709551616, dtype="u8"))  # E: int
+reveal_type(def_gen.integers(0, 18446744073709551616, dtype="u8"))  # E: int
+reveal_type(def_gen.integers(18446744073709551615, dtype="u8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 18446744073709551615, dtype="u8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u8_low_like, 18446744073709551615, dtype="u8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_high_open, dtype="u8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_low, I_u8_high_open, dtype="u8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, I_u8_high_open, dtype="u8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_high_closed, dtype="u8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_low, I_u8_high_closed, dtype="u8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, I_u8_high_closed, dtype="u8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.integers(18446744073709551616, dtype="uint64"))  # E: int
+reveal_type(def_gen.integers(0, 18446744073709551616, dtype="uint64"))  # E: int
+reveal_type(def_gen.integers(18446744073709551615, dtype="uint64", endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 18446744073709551615, dtype="uint64", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u8_low_like, 18446744073709551615, dtype="uint64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_high_open, dtype="uint64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_low, I_u8_high_open, dtype="uint64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, I_u8_high_open, dtype="uint64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_high_closed, dtype="uint64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_low, I_u8_high_closed, dtype="uint64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, I_u8_high_closed, dtype="uint64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.integers(18446744073709551616, dtype=np.uint64))  # E: int
+reveal_type(def_gen.integers(0, 18446744073709551616, dtype=np.uint64))  # E: int
+reveal_type(def_gen.integers(18446744073709551615, dtype=np.uint64, endpoint=True))  # E: int
+reveal_type(def_gen.integers(0, 18446744073709551615, dtype=np.uint64, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_u8_low_like, 18446744073709551615, dtype=np.uint64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_high_open, dtype=np.uint64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_low, I_u8_high_open, dtype=np.uint64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, I_u8_high_open, dtype=np.uint64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_high_closed, dtype=np.uint64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_u8_low, I_u8_high_closed, dtype=np.uint64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(0, I_u8_high_closed, dtype=np.uint64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+
+I_i1_low: np.ndarray[Any, np.dtype[np.int8]] = np.array([-128], dtype=np.int8)
+I_i1_low_like: List[int] = [-128]
+I_i1_high_open: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8)
+I_i1_high_closed: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8)
+
+reveal_type(def_gen.integers(128, dtype="i1"))  # E: int
+reveal_type(def_gen.integers(-128, 128, dtype="i1"))  # E: int
+reveal_type(def_gen.integers(127, dtype="i1", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-128, 127, dtype="i1", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i1_low_like, 127, dtype="i1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_high_open, dtype="i1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_low, I_i1_high_open, dtype="i1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(-128, I_i1_high_open, dtype="i1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_high_closed, dtype="i1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_low, I_i1_high_closed, dtype="i1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(-128, I_i1_high_closed, dtype="i1", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+
+reveal_type(def_gen.integers(128, dtype="int8"))  # E: int
+reveal_type(def_gen.integers(-128, 128, dtype="int8"))  # E: int
+reveal_type(def_gen.integers(127, dtype="int8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-128, 127, dtype="int8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i1_low_like, 127, dtype="int8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_high_open, dtype="int8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_low, I_i1_high_open, dtype="int8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(-128, I_i1_high_open, dtype="int8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_high_closed, dtype="int8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_low, I_i1_high_closed, dtype="int8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(-128, I_i1_high_closed, dtype="int8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+
+reveal_type(def_gen.integers(128, dtype=np.int8))  # E: int
+reveal_type(def_gen.integers(-128, 128, dtype=np.int8))  # E: int
+reveal_type(def_gen.integers(127, dtype=np.int8, endpoint=True))  # E: int
+reveal_type(def_gen.integers(-128, 127, dtype=np.int8, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i1_low_like, 127, dtype=np.int8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_high_open, dtype=np.int8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_low, I_i1_high_open, dtype=np.int8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(-128, I_i1_high_open, dtype=np.int8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_high_closed, dtype=np.int8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(I_i1_low, I_i1_high_closed, dtype=np.int8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(def_gen.integers(-128, I_i1_high_closed, dtype=np.int8, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+
+I_i2_low: np.ndarray[Any, np.dtype[np.int16]] = np.array([-32768], dtype=np.int16)
+I_i2_low_like: List[int] = [-32768]
+I_i2_high_open: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16)
+I_i2_high_closed: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16)
+
+reveal_type(def_gen.integers(32768, dtype="i2"))  # E: int
+reveal_type(def_gen.integers(-32768, 32768, dtype="i2"))  # E: int
+reveal_type(def_gen.integers(32767, dtype="i2", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-32768, 32767, dtype="i2", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i2_low_like, 32767, dtype="i2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_high_open, dtype="i2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_low, I_i2_high_open, dtype="i2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(-32768, I_i2_high_open, dtype="i2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_high_closed, dtype="i2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_low, I_i2_high_closed, dtype="i2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(-32768, I_i2_high_closed, dtype="i2", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+
+reveal_type(def_gen.integers(32768, dtype="int16"))  # E: int
+reveal_type(def_gen.integers(-32768, 32768, dtype="int16"))  # E: int
+reveal_type(def_gen.integers(32767, dtype="int16", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-32768, 32767, dtype="int16", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i2_low_like, 32767, dtype="int16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_high_open, dtype="int16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_low, I_i2_high_open, dtype="int16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(-32768, I_i2_high_open, dtype="int16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_high_closed, dtype="int16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_low, I_i2_high_closed, dtype="int16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(-32768, I_i2_high_closed, dtype="int16", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+
+reveal_type(def_gen.integers(32768, dtype=np.int16))  # E: int
+reveal_type(def_gen.integers(-32768, 32768, dtype=np.int16))  # E: int
+reveal_type(def_gen.integers(32767, dtype=np.int16, endpoint=True))  # E: int
+reveal_type(def_gen.integers(-32768, 32767, dtype=np.int16, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i2_low_like, 32767, dtype=np.int16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_high_open, dtype=np.int16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_low, I_i2_high_open, dtype=np.int16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(-32768, I_i2_high_open, dtype=np.int16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_high_closed, dtype=np.int16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(I_i2_low, I_i2_high_closed, dtype=np.int16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(def_gen.integers(-32768, I_i2_high_closed, dtype=np.int16, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+
+I_i4_low: np.ndarray[Any, np.dtype[np.int32]] = np.array([-2147483648], dtype=np.int32)
+I_i4_low_like: List[int] = [-2147483648]
+I_i4_high_open: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32)
+I_i4_high_closed: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32)
+
+reveal_type(def_gen.integers(2147483648, dtype="i4"))  # E: int
+reveal_type(def_gen.integers(-2147483648, 2147483648, dtype="i4"))  # E: int
+reveal_type(def_gen.integers(2147483647, dtype="i4", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-2147483648, 2147483647, dtype="i4", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i4_low_like, 2147483647, dtype="i4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_high_open, dtype="i4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_low, I_i4_high_open, dtype="i4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(-2147483648, I_i4_high_open, dtype="i4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_high_closed, dtype="i4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_low, I_i4_high_closed, dtype="i4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(-2147483648, I_i4_high_closed, dtype="i4", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+
+reveal_type(def_gen.integers(2147483648, dtype="int32"))  # E: int
+reveal_type(def_gen.integers(-2147483648, 2147483648, dtype="int32"))  # E: int
+reveal_type(def_gen.integers(2147483647, dtype="int32", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-2147483648, 2147483647, dtype="int32", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i4_low_like, 2147483647, dtype="int32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_high_open, dtype="int32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_low, I_i4_high_open, dtype="int32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(-2147483648, I_i4_high_open, dtype="int32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_high_closed, dtype="int32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_low, I_i4_high_closed, dtype="int32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(-2147483648, I_i4_high_closed, dtype="int32", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+
+reveal_type(def_gen.integers(2147483648, dtype=np.int32))  # E: int
+reveal_type(def_gen.integers(-2147483648, 2147483648, dtype=np.int32))  # E: int
+reveal_type(def_gen.integers(2147483647, dtype=np.int32, endpoint=True))  # E: int
+reveal_type(def_gen.integers(-2147483648, 2147483647, dtype=np.int32, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i4_low_like, 2147483647, dtype=np.int32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_high_open, dtype=np.int32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_low, I_i4_high_open, dtype=np.int32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(-2147483648, I_i4_high_open, dtype=np.int32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_high_closed, dtype=np.int32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(I_i4_low, I_i4_high_closed, dtype=np.int32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(def_gen.integers(-2147483648, I_i4_high_closed, dtype=np.int32, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+
+I_i8_low: np.ndarray[Any, np.dtype[np.int64]] = np.array([-9223372036854775808], dtype=np.int64)
+I_i8_low_like: List[int] = [-9223372036854775808]
+I_i8_high_open: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64)
+I_i8_high_closed: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64)
+
+reveal_type(def_gen.integers(9223372036854775808, dtype="i8"))  # E: int
+reveal_type(def_gen.integers(-9223372036854775808, 9223372036854775808, dtype="i8"))  # E: int
+reveal_type(def_gen.integers(9223372036854775807, dtype="i8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-9223372036854775808, 9223372036854775807, dtype="i8", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i8_low_like, 9223372036854775807, dtype="i8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_high_open, dtype="i8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_low, I_i8_high_open, dtype="i8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(-9223372036854775808, I_i8_high_open, dtype="i8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_high_closed, dtype="i8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_low, I_i8_high_closed, dtype="i8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="i8", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.integers(9223372036854775808, dtype="int64"))  # E: int
+reveal_type(def_gen.integers(-9223372036854775808, 9223372036854775808, dtype="int64"))  # E: int
+reveal_type(def_gen.integers(9223372036854775807, dtype="int64", endpoint=True))  # E: int
+reveal_type(def_gen.integers(-9223372036854775808, 9223372036854775807, dtype="int64", endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i8_low_like, 9223372036854775807, dtype="int64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_high_open, dtype="int64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_low, I_i8_high_open, dtype="int64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(-9223372036854775808, I_i8_high_open, dtype="int64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_high_closed, dtype="int64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_low, I_i8_high_closed, dtype="int64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="int64", endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.integers(9223372036854775808, dtype=np.int64))  # E: int
+reveal_type(def_gen.integers(-9223372036854775808, 9223372036854775808, dtype=np.int64))  # E: int
+reveal_type(def_gen.integers(9223372036854775807, dtype=np.int64, endpoint=True))  # E: int
+reveal_type(def_gen.integers(-9223372036854775808, 9223372036854775807, dtype=np.int64, endpoint=True))  # E: int
+reveal_type(def_gen.integers(I_i8_low_like, 9223372036854775807, dtype=np.int64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_high_open, dtype=np.int64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_low, I_i8_high_open, dtype=np.int64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(-9223372036854775808, I_i8_high_open, dtype=np.int64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_high_closed, dtype=np.int64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(I_i8_low, I_i8_high_closed, dtype=np.int64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype=np.int64, endpoint=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+
+reveal_type(def_gen.bit_generator)  # E: BitGenerator
+
+reveal_type(def_gen.bytes(2))  # E: bytes
+
+reveal_type(def_gen.choice(5))  # E: int
+reveal_type(def_gen.choice(5, 3))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.choice(5, 3, replace=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.choice(5, 3, p=[1 / 5] * 5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.choice(5, 3, p=[1 / 5] * 5, replace=False))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"]))  # E: Any
+reveal_type(def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4])))  # E: numpy.ndarray[Any, Any]
+
+reveal_type(def_gen.dirichlet([0.5, 0.5]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.dirichlet(np.array([0.5, 0.5])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.dirichlet(np.array([0.5, 0.5]), size=3))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.multinomial(20, [1 / 6.0] * 6))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multinomial(20, np.array([0.5, 0.5])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multinomial(20, [1 / 6.0] * 6, size=2))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multinomial([[10], [20]], [1 / 6.0] * 6, size=(2, 2)))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multinomial(np.array([[10], [20]]), np.array([0.5, 0.5]), size=(2, 2)))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.multivariate_hypergeometric([3, 5, 7], 2))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=4))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=(4, 7)))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multivariate_hypergeometric([3, 5, 7], 2, method="count"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, method="marginals"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(def_gen.multivariate_normal([0.0], [[1.0]]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.multivariate_normal([0.0], np.array([[1.0]])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.multivariate_normal(np.array([0.0]), [[1.0]]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(def_gen.multivariate_normal([0.0], np.array([[1.0]])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(def_gen.permutation(10))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(def_gen.permutation([1, 2, 3, 4]))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permutation(np.array([1, 2, 3, 4])))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permutation(D_2D, axis=1))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D_like))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D, axis=1))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D, out=D_2D))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D_like, out=D_2D))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D_like, out=D_2D))  # E: numpy.ndarray[Any, Any]
+reveal_type(def_gen.permuted(D_2D, axis=1, out=D_2D))  # E: numpy.ndarray[Any, Any]
+
+reveal_type(def_gen.shuffle(np.arange(10)))  # E: None
+reveal_type(def_gen.shuffle([1, 2, 3, 4, 5]))  # E: None
+reveal_type(def_gen.shuffle(D_2D, axis=1))  # E: None
+
+reveal_type(np.random.Generator(pcg64))  # E: Generator
+reveal_type(def_gen.__str__())  # E: str
+reveal_type(def_gen.__repr__())  # E: str
+def_gen_state = def_gen.__getstate__()
+reveal_type(def_gen_state)  # E: builtins.dict[builtins.str, Any]
+reveal_type(def_gen.__setstate__(def_gen_state))  # E: None
+
+# RandomState
+random_st: np.random.RandomState = np.random.RandomState()
+
+reveal_type(random_st.standard_normal())  # E: float
+reveal_type(random_st.standard_normal(size=None))  # E: float
+reveal_type(random_st.standard_normal(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(random_st.random())  # E: float
+reveal_type(random_st.random(size=None))  # E: float
+reveal_type(random_st.random(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(random_st.standard_cauchy())  # E: float
+reveal_type(random_st.standard_cauchy(size=None))  # E: float
+reveal_type(random_st.standard_cauchy(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.standard_exponential())  # E: float
+reveal_type(random_st.standard_exponential(size=None))  # E: float
+reveal_type(random_st.standard_exponential(size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(random_st.zipf(1.5))  # E: int
+reveal_type(random_st.zipf(1.5, size=None))  # E: int
+reveal_type(random_st.zipf(1.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.zipf(D_arr_1p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.zipf(D_arr_1p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.zipf(D_arr_like_1p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.zipf(D_arr_like_1p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.weibull(0.5))  # E: float
+reveal_type(random_st.weibull(0.5, size=None))  # E: float
+reveal_type(random_st.weibull(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.weibull(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.weibull(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.weibull(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.weibull(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.standard_t(0.5))  # E: float
+reveal_type(random_st.standard_t(0.5, size=None))  # E: float
+reveal_type(random_st.standard_t(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.standard_t(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.standard_t(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.standard_t(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.standard_t(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.poisson(0.5))  # E: int
+reveal_type(random_st.poisson(0.5, size=None))  # E: int
+reveal_type(random_st.poisson(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.poisson(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.poisson(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.poisson(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.poisson(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.power(0.5))  # E: float
+reveal_type(random_st.power(0.5, size=None))  # E: float
+reveal_type(random_st.power(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.power(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.power(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.power(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.power(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.pareto(0.5))  # E: float
+reveal_type(random_st.pareto(0.5, size=None))  # E: float
+reveal_type(random_st.pareto(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.pareto(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.pareto(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.pareto(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.pareto(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.chisquare(0.5))  # E: float
+reveal_type(random_st.chisquare(0.5, size=None))  # E: float
+reveal_type(random_st.chisquare(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.chisquare(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.chisquare(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.chisquare(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.chisquare(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.exponential(0.5))  # E: float
+reveal_type(random_st.exponential(0.5, size=None))  # E: float
+reveal_type(random_st.exponential(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.exponential(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.exponential(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.exponential(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.exponential(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.geometric(0.5))  # E: int
+reveal_type(random_st.geometric(0.5, size=None))  # E: int
+reveal_type(random_st.geometric(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.geometric(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.geometric(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.geometric(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.geometric(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.logseries(0.5))  # E: int
+reveal_type(random_st.logseries(0.5, size=None))  # E: int
+reveal_type(random_st.logseries(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.logseries(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.logseries(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.logseries(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.logseries(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.rayleigh(0.5))  # E: float
+reveal_type(random_st.rayleigh(0.5, size=None))  # E: float
+reveal_type(random_st.rayleigh(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.rayleigh(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.rayleigh(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.rayleigh(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.rayleigh(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.standard_gamma(0.5))  # E: float
+reveal_type(random_st.standard_gamma(0.5, size=None))  # E: float
+reveal_type(random_st.standard_gamma(0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(random_st.standard_gamma(D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(random_st.standard_gamma(D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(random_st.standard_gamma(D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(random_st.standard_gamma(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+reveal_type(random_st.standard_gamma(D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]]
+
+reveal_type(random_st.vonmises(0.5, 0.5))  # E: float
+reveal_type(random_st.vonmises(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.vonmises(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.wald(0.5, 0.5))  # E: float
+reveal_type(random_st.wald(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.wald(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.wald(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.uniform(0.5, 0.5))  # E: float
+reveal_type(random_st.uniform(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.uniform(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.beta(0.5, 0.5))  # E: float
+reveal_type(random_st.beta(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.beta(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.beta(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.f(0.5, 0.5))  # E: float
+reveal_type(random_st.f(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.f(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.f(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.gamma(0.5, 0.5))  # E: float
+reveal_type(random_st.gamma(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.gamma(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.gumbel(0.5, 0.5))  # E: float
+reveal_type(random_st.gumbel(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.gumbel(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.laplace(0.5, 0.5))  # E: float
+reveal_type(random_st.laplace(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.laplace(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.logistic(0.5, 0.5))  # E: float
+reveal_type(random_st.logistic(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.logistic(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.lognormal(0.5, 0.5))  # E: float
+reveal_type(random_st.lognormal(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.lognormal(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.noncentral_chisquare(0.5, 0.5))  # E: float
+reveal_type(random_st.noncentral_chisquare(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.noncentral_chisquare(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.normal(0.5, 0.5))  # E: float
+reveal_type(random_st.normal(0.5, 0.5, size=None))  # E: float
+reveal_type(random_st.normal(0.5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(0.5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_0p5, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(0.5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_like_0p5, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(0.5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_0p5, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_like_0p5, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_0p5, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.normal(D_arr_like_0p5, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.triangular(0.1, 0.5, 0.9))  # E: float
+reveal_type(random_st.triangular(0.1, 0.5, 0.9, size=None))  # E: float
+reveal_type(random_st.triangular(0.1, 0.5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_0p1, 0.5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(0.1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(0.1, D_arr_0p5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_like_0p1, 0.5, D_arr_0p9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(0.5, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_0p1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.noncentral_f(0.1, 0.5, 0.9))  # E: float
+reveal_type(random_st.noncentral_f(0.1, 0.5, 0.9, size=None))  # E: float
+reveal_type(random_st.noncentral_f(0.1, 0.5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_0p1, 0.5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(0.1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(0.1, D_arr_0p5, 0.9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(0.5, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.binomial(10, 0.5))  # E: int
+reveal_type(random_st.binomial(10, 0.5, size=None))  # E: int
+reveal_type(random_st.binomial(10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_like_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_like_10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.binomial(I_arr_like_10, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.negative_binomial(10, 0.5))  # E: int
+reveal_type(random_st.negative_binomial(10, 0.5, size=None))  # E: int
+reveal_type(random_st.negative_binomial(10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_10, 0.5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_like_10, 0.5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_10, D_arr_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_like_10, D_arr_like_0p5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_10, D_arr_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.hypergeometric(20, 20, 10))  # E: int
+reveal_type(random_st.hypergeometric(20, 20, 10, size=None))  # E: int
+reveal_type(random_st.hypergeometric(20, 20, 10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_20, 20, 10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(20, I_arr_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(20, I_arr_20, 10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_like_20, 20, I_arr_10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(20, I_arr_like_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_20, I_arr_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_like_20, I_arr_like_20, 10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.randint(0, 100))  # E: int
+reveal_type(random_st.randint(100))  # E: int
+reveal_type(random_st.randint([100]))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.randint(0, [100]))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.randint(2, dtype=bool))  # E: builtins.bool
+reveal_type(random_st.randint(0, 2, dtype=bool))  # E: builtins.bool
+reveal_type(random_st.randint(I_bool_high_open, dtype=bool))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(random_st.randint(I_bool_low, I_bool_high_open, dtype=bool))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(random_st.randint(0, I_bool_high_open, dtype=bool))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+
+reveal_type(random_st.randint(2, dtype=np.bool_))  # E: builtins.bool
+reveal_type(random_st.randint(0, 2, dtype=np.bool_))  # E: builtins.bool
+reveal_type(random_st.randint(I_bool_high_open, dtype=np.bool_))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(random_st.randint(I_bool_low, I_bool_high_open, dtype=np.bool_))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+reveal_type(random_st.randint(0, I_bool_high_open, dtype=np.bool_))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]
+
+reveal_type(random_st.randint(256, dtype="u1"))  # E: int
+reveal_type(random_st.randint(0, 256, dtype="u1"))  # E: int
+reveal_type(random_st.randint(I_u1_high_open, dtype="u1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(I_u1_low, I_u1_high_open, dtype="u1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(0, I_u1_high_open, dtype="u1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+
+reveal_type(random_st.randint(256, dtype="uint8"))  # E: int
+reveal_type(random_st.randint(0, 256, dtype="uint8"))  # E: int
+reveal_type(random_st.randint(I_u1_high_open, dtype="uint8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(I_u1_low, I_u1_high_open, dtype="uint8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(0, I_u1_high_open, dtype="uint8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+
+reveal_type(random_st.randint(256, dtype=np.uint8))  # E: int
+reveal_type(random_st.randint(0, 256, dtype=np.uint8))  # E: int
+reveal_type(random_st.randint(I_u1_high_open, dtype=np.uint8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(I_u1_low, I_u1_high_open, dtype=np.uint8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(0, I_u1_high_open, dtype=np.uint8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._8Bit]]]
+
+reveal_type(random_st.randint(65536, dtype="u2"))  # E: int
+reveal_type(random_st.randint(0, 65536, dtype="u2"))  # E: int
+reveal_type(random_st.randint(I_u2_high_open, dtype="u2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(I_u2_low, I_u2_high_open, dtype="u2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(0, I_u2_high_open, dtype="u2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+
+reveal_type(random_st.randint(65536, dtype="uint16"))  # E: int
+reveal_type(random_st.randint(0, 65536, dtype="uint16"))  # E: int
+reveal_type(random_st.randint(I_u2_high_open, dtype="uint16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(I_u2_low, I_u2_high_open, dtype="uint16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(0, I_u2_high_open, dtype="uint16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+
+reveal_type(random_st.randint(65536, dtype=np.uint16))  # E: int
+reveal_type(random_st.randint(0, 65536, dtype=np.uint16))  # E: int
+reveal_type(random_st.randint(I_u2_high_open, dtype=np.uint16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(I_u2_low, I_u2_high_open, dtype=np.uint16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(0, I_u2_high_open, dtype=np.uint16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._16Bit]]]
+
+reveal_type(random_st.randint(4294967296, dtype="u4"))  # E: int
+reveal_type(random_st.randint(0, 4294967296, dtype="u4"))  # E: int
+reveal_type(random_st.randint(I_u4_high_open, dtype="u4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(I_u4_low, I_u4_high_open, dtype="u4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(0, I_u4_high_open, dtype="u4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+
+reveal_type(random_st.randint(4294967296, dtype="uint32"))  # E: int
+reveal_type(random_st.randint(0, 4294967296, dtype="uint32"))  # E: int
+reveal_type(random_st.randint(I_u4_high_open, dtype="uint32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(I_u4_low, I_u4_high_open, dtype="uint32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(0, I_u4_high_open, dtype="uint32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+
+reveal_type(random_st.randint(4294967296, dtype=np.uint32))  # E: int
+reveal_type(random_st.randint(0, 4294967296, dtype=np.uint32))  # E: int
+reveal_type(random_st.randint(I_u4_high_open, dtype=np.uint32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(I_u4_low, I_u4_high_open, dtype=np.uint32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(0, I_u4_high_open, dtype=np.uint32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]]
+
+reveal_type(random_st.randint(4294967296, dtype=np.uint))  # E: int
+reveal_type(random_st.randint(0, 4294967296, dtype=np.uint))  # E: int
+reveal_type(random_st.randint(I_u4_high_open, dtype=np.uint))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(random_st.randint(I_u4_low, I_u4_high_open, dtype=np.uint))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+reveal_type(random_st.randint(0, I_u4_high_open, dtype=np.uint))  # E: numpy.ndarray[Any, numpy.dtype[{uint}]]
+
+reveal_type(random_st.randint(18446744073709551616, dtype="u8"))  # E: int
+reveal_type(random_st.randint(0, 18446744073709551616, dtype="u8"))  # E: int
+reveal_type(random_st.randint(I_u8_high_open, dtype="u8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(I_u8_low, I_u8_high_open, dtype="u8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(0, I_u8_high_open, dtype="u8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+
+reveal_type(random_st.randint(18446744073709551616, dtype="uint64"))  # E: int
+reveal_type(random_st.randint(0, 18446744073709551616, dtype="uint64"))  # E: int
+reveal_type(random_st.randint(I_u8_high_open, dtype="uint64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(I_u8_low, I_u8_high_open, dtype="uint64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(0, I_u8_high_open, dtype="uint64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+
+reveal_type(random_st.randint(18446744073709551616, dtype=np.uint64))  # E: int
+reveal_type(random_st.randint(0, 18446744073709551616, dtype=np.uint64))  # E: int
+reveal_type(random_st.randint(I_u8_high_open, dtype=np.uint64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(I_u8_low, I_u8_high_open, dtype=np.uint64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(0, I_u8_high_open, dtype=np.uint64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._64Bit]]]
+
+reveal_type(random_st.randint(128, dtype="i1"))  # E: int
+reveal_type(random_st.randint(-128, 128, dtype="i1"))  # E: int
+reveal_type(random_st.randint(I_i1_high_open, dtype="i1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(I_i1_low, I_i1_high_open, dtype="i1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(-128, I_i1_high_open, dtype="i1"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+
+reveal_type(random_st.randint(128, dtype="int8"))  # E: int
+reveal_type(random_st.randint(-128, 128, dtype="int8"))  # E: int
+reveal_type(random_st.randint(I_i1_high_open, dtype="int8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(I_i1_low, I_i1_high_open, dtype="int8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(-128, I_i1_high_open, dtype="int8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+
+reveal_type(random_st.randint(128, dtype=np.int8))  # E: int
+reveal_type(random_st.randint(-128, 128, dtype=np.int8))  # E: int
+reveal_type(random_st.randint(I_i1_high_open, dtype=np.int8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(I_i1_low, I_i1_high_open, dtype=np.int8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+reveal_type(random_st.randint(-128, I_i1_high_open, dtype=np.int8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._8Bit]]]
+
+reveal_type(random_st.randint(32768, dtype="i2"))  # E: int
+reveal_type(random_st.randint(-32768, 32768, dtype="i2"))  # E: int
+reveal_type(random_st.randint(I_i2_high_open, dtype="i2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(I_i2_low, I_i2_high_open, dtype="i2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(-32768, I_i2_high_open, dtype="i2"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(32768, dtype="int16"))  # E: int
+reveal_type(random_st.randint(-32768, 32768, dtype="int16"))  # E: int
+reveal_type(random_st.randint(I_i2_high_open, dtype="int16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(I_i2_low, I_i2_high_open, dtype="int16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(-32768, I_i2_high_open, dtype="int16"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(32768, dtype=np.int16))  # E: int
+reveal_type(random_st.randint(-32768, 32768, dtype=np.int16))  # E: int
+reveal_type(random_st.randint(I_i2_high_open, dtype=np.int16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(I_i2_low, I_i2_high_open, dtype=np.int16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+reveal_type(random_st.randint(-32768, I_i2_high_open, dtype=np.int16))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._16Bit]]]
+
+reveal_type(random_st.randint(2147483648, dtype="i4"))  # E: int
+reveal_type(random_st.randint(-2147483648, 2147483648, dtype="i4"))  # E: int
+reveal_type(random_st.randint(I_i4_high_open, dtype="i4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(I_i4_low, I_i4_high_open, dtype="i4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(-2147483648, I_i4_high_open, dtype="i4"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+
+reveal_type(random_st.randint(2147483648, dtype="int32"))  # E: int
+reveal_type(random_st.randint(-2147483648, 2147483648, dtype="int32"))  # E: int
+reveal_type(random_st.randint(I_i4_high_open, dtype="int32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(I_i4_low, I_i4_high_open, dtype="int32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(-2147483648, I_i4_high_open, dtype="int32"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+
+reveal_type(random_st.randint(2147483648, dtype=np.int32))  # E: int
+reveal_type(random_st.randint(-2147483648, 2147483648, dtype=np.int32))  # E: int
+reveal_type(random_st.randint(I_i4_high_open, dtype=np.int32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(I_i4_low, I_i4_high_open, dtype=np.int32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+reveal_type(random_st.randint(-2147483648, I_i4_high_open, dtype=np.int32))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._32Bit]]]
+
+reveal_type(random_st.randint(2147483648, dtype=np.int_))  # E: int
+reveal_type(random_st.randint(-2147483648, 2147483648, dtype=np.int_))  # E: int
+reveal_type(random_st.randint(I_i4_high_open, dtype=np.int_))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.randint(I_i4_low, I_i4_high_open, dtype=np.int_))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.randint(-2147483648, I_i4_high_open, dtype=np.int_))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.randint(9223372036854775808, dtype="i8"))  # E: int
+reveal_type(random_st.randint(-9223372036854775808, 9223372036854775808, dtype="i8"))  # E: int
+reveal_type(random_st.randint(I_i8_high_open, dtype="i8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(I_i8_low, I_i8_high_open, dtype="i8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(-9223372036854775808, I_i8_high_open, dtype="i8"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(random_st.randint(9223372036854775808, dtype="int64"))  # E: int
+reveal_type(random_st.randint(-9223372036854775808, 9223372036854775808, dtype="int64"))  # E: int
+reveal_type(random_st.randint(I_i8_high_open, dtype="int64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(I_i8_low, I_i8_high_open, dtype="int64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(-9223372036854775808, I_i8_high_open, dtype="int64"))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(random_st.randint(9223372036854775808, dtype=np.int64))  # E: int
+reveal_type(random_st.randint(-9223372036854775808, 9223372036854775808, dtype=np.int64))  # E: int
+reveal_type(random_st.randint(I_i8_high_open, dtype=np.int64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(I_i8_low, I_i8_high_open, dtype=np.int64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+reveal_type(random_st.randint(-9223372036854775808, I_i8_high_open, dtype=np.int64))  # E: numpy.ndarray[Any, numpy.dtype[numpy.signedinteger[numpy.typing._64Bit]]]
+
+reveal_type(random_st._bit_generator)  # E: BitGenerator
+
+reveal_type(random_st.bytes(2))  # E: bytes
+
+reveal_type(random_st.choice(5))  # E: int
+reveal_type(random_st.choice(5, 3))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.choice(5, 3, replace=True))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.choice(5, 3, p=[1 / 5] * 5))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.choice(5, 3, p=[1 / 5] * 5, replace=False))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.choice(["pooh", "rabbit", "piglet", "Christopher"]))  # E: Any
+reveal_type(random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3))  # E: numpy.ndarray[Any, Any]
+reveal_type(random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4))  # E: numpy.ndarray[Any, Any]
+reveal_type(random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True))  # E: numpy.ndarray[Any, Any]
+reveal_type(random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4])))  # E: numpy.ndarray[Any, Any]
+
+reveal_type(random_st.dirichlet([0.5, 0.5]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.dirichlet(np.array([0.5, 0.5])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.dirichlet(np.array([0.5, 0.5]), size=3))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.multinomial(20, [1 / 6.0] * 6))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.multinomial(20, np.array([0.5, 0.5])))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.multinomial(20, [1 / 6.0] * 6, size=2))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+
+reveal_type(random_st.multivariate_normal([0.0], [[1.0]]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.multivariate_normal([0.0], np.array([[1.0]])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.multivariate_normal(np.array([0.0]), [[1.0]]))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.multivariate_normal([0.0], np.array([[1.0]])))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.permutation(10))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.permutation([1, 2, 3, 4]))  # E: numpy.ndarray[Any, Any]
+reveal_type(random_st.permutation(np.array([1, 2, 3, 4])))  # E: numpy.ndarray[Any, Any]
+reveal_type(random_st.permutation(D_2D))  # E: numpy.ndarray[Any, Any]
+
+reveal_type(random_st.shuffle(np.arange(10)))  # E: None
+reveal_type(random_st.shuffle([1, 2, 3, 4, 5]))  # E: None
+reveal_type(random_st.shuffle(D_2D))  # E: None
+
+reveal_type(np.random.RandomState(pcg64))  # E: RandomState
+reveal_type(np.random.RandomState(0))  # E: RandomState
+reveal_type(np.random.RandomState([0, 1, 2]))  # E: RandomState
+reveal_type(random_st.__str__())  # E: str
+reveal_type(random_st.__repr__())  # E: str
+random_st_state = random_st.__getstate__()
+reveal_type(random_st_state)  # E: builtins.dict[builtins.str, Any]
+reveal_type(random_st.__setstate__(random_st_state))  # E: None
+reveal_type(random_st.seed())  # E: None
+reveal_type(random_st.seed(1))  # E: None
+reveal_type(random_st.seed([0, 1]))  # E: None
+random_st_get_state = random_st.get_state()
+reveal_type(random_st_state)  # E: builtins.dict[builtins.str, Any]
+random_st_get_state_legacy = random_st.get_state(legacy=True)
+reveal_type(random_st_get_state_legacy)  # E: Union[builtins.dict[builtins.str, Any], Tuple[builtins.str, numpy.ndarray[Any, numpy.dtype[numpy.unsignedinteger[numpy.typing._32Bit]]], builtins.int, builtins.int, builtins.float]]
+reveal_type(random_st.set_state(random_st_get_state))  # E: None
+
+reveal_type(random_st.rand())  # E: float
+reveal_type(random_st.rand(1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.rand(1, 2))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.randn())  # E: float
+reveal_type(random_st.randn(1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.randn(1, 2))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.random_sample())  # E: float
+reveal_type(random_st.random_sample(1))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+reveal_type(random_st.random_sample(size=(1, 2)))  # E: numpy.ndarray[Any, numpy.dtype[numpy.floating[numpy.typing._64Bit]]
+
+reveal_type(random_st.tomaxint())  # E: int
+reveal_type(random_st.tomaxint(1))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
+reveal_type(random_st.tomaxint((1,)))  # E: numpy.ndarray[Any, numpy.dtype[{int_}]]
diff --git a/numpy/typing/tests/test_typing.py b/numpy/typing/tests/test_typing.py
index e80282420..70355dcd9 100644
--- a/numpy/typing/tests/test_typing.py
+++ b/numpy/typing/tests/test_typing.py
@@ -48,8 +48,11 @@ def run_mypy() -> None:
 
     The mypy results are cached in `OUTPUT_MYPY` for further use.
 
+    The cache refresh can be skipped using
+
+    NUMPY_TYPING_TEST_CLEAR_CACHE=0 pytest numpy/typing/tests
     """
-    if os.path.isdir(CACHE_DIR):
+    if os.path.isdir(CACHE_DIR) and bool(os.environ.get("NUMPY_TYPING_TEST_CLEAR_CACHE", True)):
         shutil.rmtree(CACHE_DIR)
 
     for directory in (PASS_DIR, REVEAL_DIR, FAIL_DIR, MISC_DIR):