Every line of 'python random uniform' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.
309 def uniform(self, a, b): 310 """Get a random number in the range [a, b) or [a, b] depending on rounding.""" 311 return a + (b - a) * self.random()
360 def rng_uniform(rng): 361 """Get the unform/randint from the rng.""" 362 # prefer Generator.integers, fall back to RandomState.randint 363 return getattr(rng, 'integers', getattr(rng, 'randint', None))
208 def _uniform(val_range): 209 """ 210 Uniformly sample from the given range. 211 212 Args 213 val_range: A pair of lower and upper bound. 214 """ 215 return np.random.uniform(val_range[0], val_range[1])
32 def _random(self, size=None): 33 uu = np.random.uniform(size=size) 34 return np.exp(uu * self._fac + np.log(self.a))
19 def uniform(low, up, size=None): 20 try: 21 return [np.random.uniform(a, b) for a, b in zip(low, up)] 22 except TypeError: 23 return [np.random.uniform(a, b) for a, b in zip([low] * size, [up] * size)]
27 def _get_value(self, n): 28 return self._state.uniform(self.low, self.high, n)
35 def uniform(bound): 36 return bound * (2 * random.random() - 1)
22 def uniform(lower_list, upper_list, dimensions): 23 """Fill array """ 24 if hasattr(lower_list, '__iter__'): 25 return [random.uniform(lower, upper) 26 for lower, upper in zip(lower_list, upper_list)] 27 else: 28 return [random.uniform(lower_list, upper_list) 29 for _ in range(dimensions)]
32 def get_uniform(self): 33 return np.random.uniform(self.value[0], self.value[1])
47 def uniform(self, low, high, axes, dtype=None): 48 """ 49 Returns a tensor initialized with a uniform distribution from low to high with axes. 50 51 Arguments: 52 low: The lower limit of the distribution. 53 high: The upper limit of the distribution. 54 axes: The axes of the tensor. 55 dtype: If supplied, the type of the values. 56 57 Returns: 58 The initialized tensor. 59 60 """ 61 if dtype is None: 62 dtype = self.dtype 63 64 return np.array( 65 self.rng.uniform( 66 low, 67 high, 68 ng.make_axes(axes).lengths), 69 dtype=dtype)