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import numpy as np
def arange(start, /, *, stop=None, step=1, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.arange(start, stop=stop, step=step, dtype=dtype)
def empty(shape, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.empty(shape, dtype=dtype)
def empty_like(x, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.empty_like(x, dtype=dtype)
def eye(N, /, *, M=None, k=0, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.eye(N, M=M, k=k, dtype=dtype)
def full(shape, fill_value, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.full(shape, fill_value, dtype=dtype)
def full_like(x, fill_value, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.full_like(x, fill_value, dtype=dtype)
def linspace(start, stop, num, /, *, dtype=None, device=None, endpoint=True):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.linspace(start, stop, num, dtype=dtype, endpoint=endpoint)
def ones(shape, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.ones(shape, dtype=dtype)
def ones_like(x, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.ones_like(x, dtype=dtype)
def zeros(shape, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.zeros(shape, dtype=dtype)
def zeros_like(x, /, *, dtype=None, device=None):
if device is not None:
# Note: Device support is not yet implemented on ndarray
raise NotImplementedError("Device support is not yet implemented")
return np.zeros_like(x, dtype=dtype)
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