10 examples of 'random.sample python' in Python

48
def sample():
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    anchor_start = random.randint(2)
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    anchor_end = not anchor_start and random.randint(2)
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    start_len = random.randint(1)
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    match_len = random.randint(2) + 1
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    rep_len = random.randint(3)
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    end_len = random.randint(1)
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    start = "^" if anchor_start else ""
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    start += sample_block(start_len)
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    match = sample_block(match_len)
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    replace = sample_replace(rep_len)
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    end = sample_block(end_len)
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    if anchor_end:
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        end += "$"
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    before = "(%s)(%s)(%s)" % (start, match, end)
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    after = "\\1%s\\3" % replace
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    return before, after

9
def safe_random_sample(data: Sequence[T], size: int) -> Sequence[T]:
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    if size < len(data):
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        return random.sample(data, size)
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    return data

26
def space_sample(value, size, rand_generator):
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    size = None if size == 1 else size
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    rand_generator = rand_generator or np.random
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    try:
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        return rand_generator.choice(value, size=size)
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    except ValueError:
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        idx = rand_generator.randint(0, len(value))
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        return value[idx]

28
def sample(self, sample):
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    '''  '''
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    if(self.counter < self.maxSamples):
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        self.samples.append(sample)
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    else:
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        index = randint(0, self.counter)
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        if(index < self.maxSamples):
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            self.samples[index] = sample
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    self.counter = self.counter + 1

28
def _sample(space, n):
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  return np.array([space.sample() for _ in range(n)])

197
def sample(self, n):
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    b_idx = np.random.randint(0, len(self.x), n)
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    bx, by = self.x[b_idx], self.y[b_idx]
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    return bx, by

27
def sampler(rng):
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    return {"max_depth": rng.randint(1, 100), "n_estimators": rng.randint(1, 300)}

69
def sample_batch(X, batch_size):
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    idx = np.random.choice(X.shape[0], batch_size, replace=False)
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    return X[idx]

273
def choice(self, seq):
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    """Choose a random element from a non-empty sequence."""
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    return seq[int(self.random() * len(seq))]  # raises IndexError if seq is empty

14
def random(size):
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    return rand(*size)