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# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
from bigframes import dtypes
from bigframes import operations as ops
import bigframes.core.col
import bigframes.core.expression
def rand() -> bigframes.core.col.Expression:
"""
Generates a pseudo-random value of type FLOAT64 in the range of [0, 1),
inclusive of 0 and exclusive of 1.
.. warning::
This method introduces non-determinism to the expression. Reading the
same column twice may result in different results. The value might
change. Do not use this value or any value derived from it as a join
key.
**Examples:**
>>> import bigframes.pandas as bpd
>>> import bigframes.bigquery as bbq
>>> df = bpd.DataFrame({"a": [1, 2, 3]})
>>> df['random'] = bbq.rand()
>>> # Resulting column 'random' will contain random floats between 0 and 1.
Returns:
bigframes.pandas.api.typing.Expression:
An expression that can be used in
:func:`~bigframes.pandas.DataFrame.assign` and other methods. See
:func:`bigframes.pandas.col`.
"""
op = ops.SqlScalarOp(
_output_type=dtypes.FLOAT_DTYPE,
sql_template="RAND()",
is_deterministic=False,
)
return bigframes.core.col.Expression(bigframes.core.expression.OpExpression(op, ()))