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227,900 | tensorflow/mesh | mesh_tensorflow/ops.py | serialize_training_step | def serialize_training_step(features, model_fn, batch_dim, num_splits):
"""Break the training batch into multiple microbatches.
Returns two structures:
grads - a list of Tensors corresponding to the gradients on
graph.trainable_variables. These are summed across all microbatches
outputs - a dictionary ... | python | def serialize_training_step(features, model_fn, batch_dim, num_splits):
"""Break the training batch into multiple microbatches.
Returns two structures:
grads - a list of Tensors corresponding to the gradients on
graph.trainable_variables. These are summed across all microbatches
outputs - a dictionary ... | [
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227,901 | tensorflow/mesh | mesh_tensorflow/ops.py | Shape.rename_dimension | def rename_dimension(self, old_name, new_name):
"""Returns a copy where one dimension is renamed."""
if old_name not in self.dimension_names:
raise ValueError("Shape %s does not have dimension named %s"
% (self, old_name))
return Shape(
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"""Returns a copy where one dimension is renamed."""
if old_name not in self.dimension_names:
raise ValueError("Shape %s does not have dimension named %s"
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227,902 | tensorflow/mesh | mesh_tensorflow/ops.py | Shape.resize_dimension | def resize_dimension(self, name, new_size):
"""Returns a copy where one dimension has a different size."""
if name not in self.dimension_names:
raise ValueError("Shape %s does not have dimension named %s"
% (self, name))
return Shape(
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"""Returns a copy where one dimension has a different size."""
if name not in self.dimension_names:
raise ValueError("Shape %s does not have dimension named %s"
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227,903 | tensorflow/mesh | mesh_tensorflow/ops.py | LayoutRules.tensor_layout | def tensor_layout(self, tensor_shape, mesh_shape):
"""Computes TensorLayout given a Tensor Shape and a Mesh Shape.
Args:
tensor_shape: Shape.
mesh_shape: Shape.
Returns:
TensorLayout.
Raises:
ValueError: If two Tensor Dimensions map to the same Mesh Dimensions.
"""
ret... | python | def tensor_layout(self, tensor_shape, mesh_shape):
"""Computes TensorLayout given a Tensor Shape and a Mesh Shape.
Args:
tensor_shape: Shape.
mesh_shape: Shape.
Returns:
TensorLayout.
Raises:
ValueError: If two Tensor Dimensions map to the same Mesh Dimensions.
"""
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227,904 | tensorflow/mesh | mesh_tensorflow/ops.py | TensorLayout.mesh_axis_to_tensor_axis | def mesh_axis_to_tensor_axis(self, mesh_ndims):
"""For each mesh axis, which Tensor axis maps to it.
Args:
mesh_ndims: int.
Returns:
Tuple of optional integers, with length mesh_ndims.
"""
ta2ma = self._tensor_axis_to_mesh_axis
return tuple(
[ta2ma.index(mesh_axis) if mesh_... | python | def mesh_axis_to_tensor_axis(self, mesh_ndims):
"""For each mesh axis, which Tensor axis maps to it.
Args:
mesh_ndims: int.
Returns:
Tuple of optional integers, with length mesh_ndims.
"""
ta2ma = self._tensor_axis_to_mesh_axis
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227,905 | tensorflow/mesh | mesh_tensorflow/ops.py | Graph.unique_name | def unique_name(self, name, mark_as_used=True):
"""Like tf.Graph.unique_name, returns a unique operation name for `name`.
Args:
name: The name for an operation.
mark_as_used: whether to mark this name as being used.
Returns:
A string to use as the name for the operation.
"""
scop... | python | def unique_name(self, name, mark_as_used=True):
"""Like tf.Graph.unique_name, returns a unique operation name for `name`.
Args:
name: The name for an operation.
mark_as_used: whether to mark this name as being used.
Returns:
A string to use as the name for the operation.
"""
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227,906 | tensorflow/mesh | mesh_tensorflow/ops.py | Graph.combine_assignments | def combine_assignments(self, assignments):
"""Rewrite the current graph to combine "Assign" operations.
Combine similar Assign operations into grouped Assign operations.
This is useful when using the rewrite_stack_variables() optimization,
since variables can only be stacked if they are present in the... | python | def combine_assignments(self, assignments):
"""Rewrite the current graph to combine "Assign" operations.
Combine similar Assign operations into grouped Assign operations.
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227,907 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.tensor_layout | def tensor_layout(self, arg):
"""Compute TensorLayout for a Tensor or a Shape.
Args:
arg: Tensor or Shape.
Returns:
TensorLayout.
"""
if isinstance(arg, Tensor):
arg = arg.shape
return self.layout_rules.tensor_layout(arg, self.shape) | python | def tensor_layout(self, arg):
"""Compute TensorLayout for a Tensor or a Shape.
Args:
arg: Tensor or Shape.
Returns:
TensorLayout.
"""
if isinstance(arg, Tensor):
arg = arg.shape
return self.layout_rules.tensor_layout(arg, self.shape) | [
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227,908 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.mesh_axis_to_cumprod | def mesh_axis_to_cumprod(self, tensor_shape):
"""For each mesh axis, give the product of previous tensor axes.
Args:
tensor_shape: Shape.
Returns:
list with length self.ndims where each element is an integer or None.
"""
tensor_layout = self.tensor_layout(tensor_shape)
ma2ta = tens... | python | def mesh_axis_to_cumprod(self, tensor_shape):
"""For each mesh axis, give the product of previous tensor axes.
Args:
tensor_shape: Shape.
Returns:
list with length self.ndims where each element is an integer or None.
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227,909 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.slice_shape | def slice_shape(self, tensor_shape):
"""Shape of each slice of the Tensor.
Args:
tensor_shape: Shape.
Returns:
list of integers with length tensor_shape.ndims.
Raises:
ValueError: If a Tensor dimension is not divisible by the corresponding
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"""
tensor_... | python | def slice_shape(self, tensor_shape):
"""Shape of each slice of the Tensor.
Args:
tensor_shape: Shape.
Returns:
list of integers with length tensor_shape.ndims.
Raises:
ValueError: If a Tensor dimension is not divisible by the corresponding
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227,910 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.slice_begin | def slice_begin(self, tensor_shape, pnum):
"""Begin position for the tensor slice for the given processor.
Args:
tensor_shape: Shape.
pnum: int <= self.size.
Returns:
list of integers with length tensor_shape.ndims.
"""
tensor_layout = self.tensor_layout(tensor_shape)
coordin... | python | def slice_begin(self, tensor_shape, pnum):
"""Begin position for the tensor slice for the given processor.
Args:
tensor_shape: Shape.
pnum: int <= self.size.
Returns:
list of integers with length tensor_shape.ndims.
"""
tensor_layout = self.tensor_layout(tensor_shape)
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227,911 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.Print | def Print(self, x, data, message, **kwargs): # pylint: disable=invalid-name
"""Calls tf.Print.
Args:
x: LaidOutTensor.
data: list of LaidOutTensor.
message: str.
**kwargs: keyword arguments to tf.print.
Returns:
LaidOutTensor.
"""
del data, message, kwargs
tf.log... | python | def Print(self, x, data, message, **kwargs): # pylint: disable=invalid-name
"""Calls tf.Print.
Args:
x: LaidOutTensor.
data: list of LaidOutTensor.
message: str.
**kwargs: keyword arguments to tf.print.
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LaidOutTensor.
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227,912 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.allsplit | def allsplit(self, x, mesh_axis, split_axis, which=None):
"""Inverse of allconcat - split each slice and keep only one piece of it.
The number of ways to split is the number of processors in the group.
The part that is kept corresponds to the processor's index in the group.
Args:
x: LaidOutTenso... | python | def allsplit(self, x, mesh_axis, split_axis, which=None):
"""Inverse of allconcat - split each slice and keep only one piece of it.
The number of ways to split is the number of processors in the group.
The part that is kept corresponds to the processor's index in the group.
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227,913 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.shift_by_n_processors | def shift_by_n_processors(self, x, mesh_axis, offset, wrap):
"""Receive the slice from processor pcoord - offset.
Args:
x: a LaidOutTensor
mesh_axis: an integer
offset: an integer
wrap: a boolean. If True, then wrap around. Otherwise, pad with zeros.
"""
n = self.shape[mesh_axis... | python | def shift_by_n_processors(self, x, mesh_axis, offset, wrap):
"""Receive the slice from processor pcoord - offset.
Args:
x: a LaidOutTensor
mesh_axis: an integer
offset: an integer
wrap: a boolean. If True, then wrap around. Otherwise, pad with zeros.
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227,914 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.laid_out_pcoord | def laid_out_pcoord(self, mesh_axis):
"""Returns a LaidOutTensor containing the processor coordinate.
Args:
mesh_axis: int.
Returns:
LaidOutTensor where each slice is an integer scalar.
"""
divisor = list_product(self.shape.to_integer_list[mesh_axis + 1:])
modulus = self.shape[mesh... | python | def laid_out_pcoord(self, mesh_axis):
"""Returns a LaidOutTensor containing the processor coordinate.
Args:
mesh_axis: int.
Returns:
LaidOutTensor where each slice is an integer scalar.
"""
divisor = list_product(self.shape.to_integer_list[mesh_axis + 1:])
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227,915 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.laid_out_slice_num | def laid_out_slice_num(self, tensor_shape):
"""A LaidOutTensor with an int32 scalar, identical for identical slices.
This is useful for synchronizing random operations.
Args:
tensor_shape: a TensorShape
Returns:
a LaidOutTensor where each slice is an integer scalar.
"""
ret = self.... | python | def laid_out_slice_num(self, tensor_shape):
"""A LaidOutTensor with an int32 scalar, identical for identical slices.
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tensor_shape: a TensorShape
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a LaidOutTensor where each slice is an integer scalar.
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227,916 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.broadcast_impl | def broadcast_impl(self, old_slices, old_shape, new_shape):
"""Implementation of a broadcast operation.
Args:
old_slices: LaidOutTensor.
old_shape: Shape.
new_shape: Shape.
Returns:
LaidOutTensor.
"""
new_slice_shape = self.slice_shape(new_shape)
def tf_fn(x):
ret... | python | def broadcast_impl(self, old_slices, old_shape, new_shape):
"""Implementation of a broadcast operation.
Args:
old_slices: LaidOutTensor.
old_shape: Shape.
new_shape: Shape.
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LaidOutTensor.
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227,917 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.make_slices | def make_slices(self, tf_tensor, tensor_shape):
"""Turns a single tf.Tensor into a list of slices, one for each processor.
Args:
tf_tensor: tf.Tensor.
tensor_shape: Shape.
Returns:
list of tf.tensor with length self.size.
"""
tensor_layout = self.tensor_layout(tensor_shape)
s... | python | def make_slices(self, tf_tensor, tensor_shape):
"""Turns a single tf.Tensor into a list of slices, one for each processor.
Args:
tf_tensor: tf.Tensor.
tensor_shape: Shape.
Returns:
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tensor_layout = self.tensor_layout(tensor_shape)
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227,918 | tensorflow/mesh | mesh_tensorflow/ops.py | MeshImpl.combine_slices | def combine_slices(self, slices, tensor_shape, device=None):
"""Turns a set of slices into a single tensor.
Args:
slices: list of tf.Tensor with length self.size.
tensor_shape: Shape.
device: optional str. If absent, we use the devices of the slices.
Returns:
tf.Tensor.
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tensor_shape: Shape.
device: optional str. If absent, we use the devices of the slices.
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227,919 | tensorflow/mesh | mesh_tensorflow/ops.py | Operation._initialize_splittable_and_unsplittable_dims | def _initialize_splittable_and_unsplittable_dims(
self, default_splittability, exception_dims_iterable=None):
"""Initializer for splittable_dims and unsplittable_dims.
Helper method to categorize all dimensions in the input/output tensors as
either splittable or unsplittable.
Args:
default... | python | def _initialize_splittable_and_unsplittable_dims(
self, default_splittability, exception_dims_iterable=None):
"""Initializer for splittable_dims and unsplittable_dims.
Helper method to categorize all dimensions in the input/output tensors as
either splittable or unsplittable.
Args:
default... | [
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227,920 | tensorflow/mesh | mesh_tensorflow/ops.py | ReshapeOperation.lower | def lower(self, lowering):
"""Lower the ReshapeOperation.
Reshaping can require collective communication between processors.
We haven't yet implemented all possible reshapes. We try to handle the
common cases here - otherwise we raise a NotImplementedError.
Args:
lowering: a Lowering
Ra... | python | def lower(self, lowering):
"""Lower the ReshapeOperation.
Reshaping can require collective communication between processors.
We haven't yet implemented all possible reshapes. We try to handle the
common cases here - otherwise we raise a NotImplementedError.
Args:
lowering: a Lowering
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227,921 | tensorflow/mesh | mesh_tensorflow/transformer/utils.py | get_variable_dtype | def get_variable_dtype(
master_dtype=tf.bfloat16,
slice_dtype=tf.float32,
activation_dtype=tf.float32):
"""Datatypes to use for the run.
Args:
master_dtype: string, datatype for checkpoints
keep this the same between training and eval/inference
slice_dtype: string, datatype for variables ... | python | def get_variable_dtype(
master_dtype=tf.bfloat16,
slice_dtype=tf.float32,
activation_dtype=tf.float32):
"""Datatypes to use for the run.
Args:
master_dtype: string, datatype for checkpoints
keep this the same between training and eval/inference
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227,922 | tensorflow/mesh | mesh_tensorflow/transformer/utils.py | build_model | def build_model(model_type="bitransformer",
input_vocab_size=gin.REQUIRED,
output_vocab_size=gin.REQUIRED,
layout_rules=None,
mesh_shape=None):
"""Build a transformer model.
Currently, three types of models are supported:
"bitransformer": The tradi... | python | def build_model(model_type="bitransformer",
input_vocab_size=gin.REQUIRED,
output_vocab_size=gin.REQUIRED,
layout_rules=None,
mesh_shape=None):
"""Build a transformer model.
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227,923 | tensorflow/mesh | mesh_tensorflow/transformer/utils.py | decode_from_file | def decode_from_file(estimator,
vocabulary,
model_type,
batch_size,
sequence_length,
checkpoint_path="",
input_filename=gin.REQUIRED,
output_filename=gin.REQUIRED,
... | python | def decode_from_file(estimator,
vocabulary,
model_type,
batch_size,
sequence_length,
checkpoint_path="",
input_filename=gin.REQUIRED,
output_filename=gin.REQUIRED,
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227,924 | tensorflow/mesh | mesh_tensorflow/transformer/utils.py | clean_decodes | def clean_decodes(ids, vocab_size, eos_id=1):
"""Stop at EOS or padding or OOV.
Args:
ids: a list of integers
vocab_size: an integer
eos_id: EOS id
Returns:
a list of integers
"""
ret = []
for i in ids:
if i == eos_id:
break
if i >= vocab_size:
break
ret.append(int(... | python | def clean_decodes(ids, vocab_size, eos_id=1):
"""Stop at EOS or padding or OOV.
Args:
ids: a list of integers
vocab_size: an integer
eos_id: EOS id
Returns:
a list of integers
"""
ret = []
for i in ids:
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break
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227,925 | tensorflow/mesh | mesh_tensorflow/transformer/utils.py | auto_batch_size | def auto_batch_size(sequence_length,
mesh_shape,
layout_rules,
tokens_per_split=2048):
"""Automatically compute batch size.
Args:
sequence_length: an integer
mesh_shape: an input to mtf.convert_to_shape()
layout_rules: an input to mtf.convert_... | python | def auto_batch_size(sequence_length,
mesh_shape,
layout_rules,
tokens_per_split=2048):
"""Automatically compute batch size.
Args:
sequence_length: an integer
mesh_shape: an input to mtf.convert_to_shape()
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227,926 | tensorflow/mesh | mesh_tensorflow/transformer/utils.py | evaluate | def evaluate(estimator, eval_args):
"""Runs evaluation on the latest model checkpoint & logs to tensorboard.
Args:
estimator: A tf.Estimator object.
eval_args: Dictionary of {eval_name: (input_fn, eval_steps)} where eval_name
is the name of the evaluation set, e.g. "train" or "val", input_fn is an
... | python | def evaluate(estimator, eval_args):
"""Runs evaluation on the latest model checkpoint & logs to tensorboard.
Args:
estimator: A tf.Estimator object.
eval_args: Dictionary of {eval_name: (input_fn, eval_steps)} where eval_name
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227,927 | tensorflow/mesh | mesh_tensorflow/simd_mesh_impl.py | _ring_2d | def _ring_2d(m, n):
"""Ring-order of a mxn mesh.
Args:
m: an integer
n: an integer
Returns:
a list of mxn pairs
"""
if m == 1:
return [(0, i) for i in range(n)]
if n == 1:
return [(i, 0) for i in range(m)]
if m % 2 != 0:
tf.logging.warning("Odd dimension")
return [(i % m, i //... | python | def _ring_2d(m, n):
"""Ring-order of a mxn mesh.
Args:
m: an integer
n: an integer
Returns:
a list of mxn pairs
"""
if m == 1:
return [(0, i) for i in range(n)]
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227,928 | tensorflow/mesh | mesh_tensorflow/simd_mesh_impl.py | tile_2d | def tile_2d(physical_shape, tile_shape,
outer_name="outer",
inner_name="inner",
cores_name=None):
"""2D tiling of a 3d physical mesh.
The "outer" mesh dimension corresponds to which tile.
The "inner" mesh dimension corresponds to the position within a tile
of processors.
... | python | def tile_2d(physical_shape, tile_shape,
outer_name="outer",
inner_name="inner",
cores_name=None):
"""2D tiling of a 3d physical mesh.
The "outer" mesh dimension corresponds to which tile.
The "inner" mesh dimension corresponds to the position within a tile
of processors.
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227,929 | tensorflow/mesh | mesh_tensorflow/simd_mesh_impl.py | SimdMeshImpl.slice | def slice(self, tf_tensor, tensor_shape):
""""Slice out the corresponding part of tensor given the pnum variable."""
tensor_layout = self.tensor_layout(tensor_shape)
if tensor_layout.is_fully_replicated:
return self.LaidOutTensor([tf_tensor])
else:
slice_shape = self.slice_shape(tensor_shap... | python | def slice(self, tf_tensor, tensor_shape):
""""Slice out the corresponding part of tensor given the pnum variable."""
tensor_layout = self.tensor_layout(tensor_shape)
if tensor_layout.is_fully_replicated:
return self.LaidOutTensor([tf_tensor])
else:
slice_shape = self.slice_shape(tensor_shap... | [
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227,930 | tensorflow/mesh | examples/mnist_dataset.py | read32 | def read32(bytestream):
"""Read 4 bytes from bytestream as an unsigned 32-bit integer."""
dt = np.dtype(np.uint32).newbyteorder('>')
return np.frombuffer(bytestream.read(4), dtype=dt)[0] | python | def read32(bytestream):
"""Read 4 bytes from bytestream as an unsigned 32-bit integer."""
dt = np.dtype(np.uint32).newbyteorder('>')
return np.frombuffer(bytestream.read(4), dtype=dt)[0] | [
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227,931 | tensorflow/mesh | examples/mnist_dataset.py | check_image_file_header | def check_image_file_header(filename):
"""Validate that filename corresponds to images for the MNIST dataset."""
with tf.gfile.Open(filename, 'rb') as f:
magic = read32(f)
read32(f) # num_images, unused
rows = read32(f)
cols = read32(f)
if magic != 2051:
raise ValueError('Invalid magic nu... | python | def check_image_file_header(filename):
"""Validate that filename corresponds to images for the MNIST dataset."""
with tf.gfile.Open(filename, 'rb') as f:
magic = read32(f)
read32(f) # num_images, unused
rows = read32(f)
cols = read32(f)
if magic != 2051:
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227,932 | tensorflow/mesh | examples/mnist_dataset.py | check_labels_file_header | def check_labels_file_header(filename):
"""Validate that filename corresponds to labels for the MNIST dataset."""
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magic = read32(f)
read32(f) # num_items, unused
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raise ValueError('Invalid magic number %d in MNIST file %s' % (magic,
... | python | def check_labels_file_header(filename):
"""Validate that filename corresponds to labels for the MNIST dataset."""
with tf.gfile.Open(filename, 'rb') as f:
magic = read32(f)
read32(f) # num_items, unused
if magic != 2049:
raise ValueError('Invalid magic number %d in MNIST file %s' % (magic,
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227,933 | tensorflow/mesh | examples/mnist_dataset.py | dataset | def dataset(directory, images_file, labels_file):
"""Download and parse MNIST dataset."""
images_file = download(directory, images_file)
labels_file = download(directory, labels_file)
check_image_file_header(images_file)
check_labels_file_header(labels_file)
def decode_image(image):
# Normalize from ... | python | def dataset(directory, images_file, labels_file):
"""Download and parse MNIST dataset."""
images_file = download(directory, images_file)
labels_file = download(directory, labels_file)
check_image_file_header(images_file)
check_labels_file_header(labels_file)
def decode_image(image):
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227,934 | mattjj/pyhsmm | pyhsmm/util/stats.py | sample_discrete | def sample_discrete(distn,size=[],dtype=np.int32):
'samples from a one-dimensional finite pmf'
distn = np.atleast_1d(distn)
assert (distn >=0).all() and distn.ndim == 1
if (0 == distn).all():
return np.random.randint(distn.shape[0],size=size)
cumvals = np.cumsum(distn)
return np.sum(np.a... | python | def sample_discrete(distn,size=[],dtype=np.int32):
'samples from a one-dimensional finite pmf'
distn = np.atleast_1d(distn)
assert (distn >=0).all() and distn.ndim == 1
if (0 == distn).all():
return np.random.randint(distn.shape[0],size=size)
cumvals = np.cumsum(distn)
return np.sum(np.a... | [
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227,935 | mattjj/pyhsmm | pyhsmm/models.py | _HMMBase.used_states | def used_states(self):
'a list of the used states in the order they appear'
c = itertools.count()
canonical_ids = collections.defaultdict(lambda: next(c))
for s in self.states_list:
for state in s.stateseq:
canonical_ids[state]
return list(map(operator... | python | def used_states(self):
'a list of the used states in the order they appear'
c = itertools.count()
canonical_ids = collections.defaultdict(lambda: next(c))
for s in self.states_list:
for state in s.stateseq:
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227,936 | mattjj/pyhsmm | pyhsmm/util/plot.py | plot_gaussian_2D | def plot_gaussian_2D(mu, lmbda, color='b', centermarker=True,label='',alpha=1.,ax=None,artists=None):
'''
Plots mean and cov ellipsoid into current axes. Must be 2D. lmbda is a covariance matrix.
'''
assert len(mu) == 2
ax = ax if ax else plt.gca()
# TODO use artists!
t = np.hstack([np.ara... | python | def plot_gaussian_2D(mu, lmbda, color='b', centermarker=True,label='',alpha=1.,ax=None,artists=None):
'''
Plots mean and cov ellipsoid into current axes. Must be 2D. lmbda is a covariance matrix.
'''
assert len(mu) == 2
ax = ax if ax else plt.gca()
# TODO use artists!
t = np.hstack([np.ara... | [
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227,937 | mattjj/pyhsmm | pyhsmm/basic/abstractions.py | DurationDistribution.resample_with_censoring | def resample_with_censoring(self,data=[],censored_data=[]):
'''
censored_data is full of observations that were censored, meaning a
value of x really could have been anything >= x, so this method samples
them out to be at least that large
'''
filled_in = self._uncensor_da... | python | def resample_with_censoring(self,data=[],censored_data=[]):
'''
censored_data is full of observations that were censored, meaning a
value of x really could have been anything >= x, so this method samples
them out to be at least that large
'''
filled_in = self._uncensor_da... | [
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227,938 | mattjj/pyhsmm | pyhsmm/util/general.py | scoreatpercentile | def scoreatpercentile(data,per,axis=0):
'like the function in scipy.stats but with an axis argument and works on arrays'
a = np.sort(data,axis=axis)
idx = per/100. * (data.shape[axis]-1)
if (idx % 1 == 0):
return a[[slice(None) if ii != axis else idx for ii in range(a.ndim)]]
else:
... | python | def scoreatpercentile(data,per,axis=0):
'like the function in scipy.stats but with an axis argument and works on arrays'
a = np.sort(data,axis=axis)
idx = per/100. * (data.shape[axis]-1)
if (idx % 1 == 0):
return a[[slice(None) if ii != axis else idx for ii in range(a.ndim)]]
else:
... | [
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227,939 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.content_type | def content_type(self, mime_type: Optional[MimeType] = None) -> str:
"""Get a random HTTP content type.
:return: Content type.
:Example:
Content-Type: application/json
"""
fmt = self.__file.mime_type(type_=mime_type)
return 'Content-Type: {}'.format(fmt) | python | def content_type(self, mime_type: Optional[MimeType] = None) -> str:
"""Get a random HTTP content type.
:return: Content type.
:Example:
Content-Type: application/json
"""
fmt = self.__file.mime_type(type_=mime_type)
return 'Content-Type: {}'.format(fmt) | [
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227,940 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.ip_v4 | def ip_v4(self, with_port: bool = False) -> str:
"""Generate a random IPv4 address.
:param with_port: Add port to IP.
:return: Random IPv4 address.
:Example:
19.121.223.58
"""
ip = '.'.join(str(self.random.randint(0, 255)) for _ in range(4))
if with... | python | def ip_v4(self, with_port: bool = False) -> str:
"""Generate a random IPv4 address.
:param with_port: Add port to IP.
:return: Random IPv4 address.
:Example:
19.121.223.58
"""
ip = '.'.join(str(self.random.randint(0, 255)) for _ in range(4))
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227,941 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.ip_v6 | def ip_v6(self) -> str:
"""Generate a random IPv6 address.
:return: Random IPv6 address.
:Example:
2001:c244:cf9d:1fb1:c56d:f52c:8a04:94f3
"""
ipv6 = IPv6Address(
self.random.randint(
0, 2 ** 128 - 1,
),
)
retu... | python | def ip_v6(self) -> str:
"""Generate a random IPv6 address.
:return: Random IPv6 address.
:Example:
2001:c244:cf9d:1fb1:c56d:f52c:8a04:94f3
"""
ipv6 = IPv6Address(
self.random.randint(
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227,942 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.mac_address | def mac_address(self) -> str:
"""Generate a random MAC address.
:return: Random MAC address.
:Example:
00:16:3e:25:e7:b1
"""
mac_hex = [
0x00, 0x16, 0x3e,
self.random.randint(0x00, 0x7f),
self.random.randint(0x00, 0xff),
... | python | def mac_address(self) -> str:
"""Generate a random MAC address.
:return: Random MAC address.
:Example:
00:16:3e:25:e7:b1
"""
mac_hex = [
0x00, 0x16, 0x3e,
self.random.randint(0x00, 0x7f),
self.random.randint(0x00, 0xff),
... | [
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227,943 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.image_placeholder | def image_placeholder(width: Union[int, str] = 1920,
height: Union[int, str] = 1080) -> str:
"""Generate a link to the image placeholder.
:param width: Width of image.
:param height: Height of image.
:return: URL to image placeholder.
"""
url = ... | python | def image_placeholder(width: Union[int, str] = 1920,
height: Union[int, str] = 1080) -> str:
"""Generate a link to the image placeholder.
:param width: Width of image.
:param height: Height of image.
:return: URL to image placeholder.
"""
url = ... | [
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227,944 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.hashtags | def hashtags(self, quantity: int = 4) -> Union[str, list]:
"""Generate a list of hashtags.
:param quantity: The quantity of hashtags.
:return: The list of hashtags.
:raises NonEnumerableError: if category is not in Hashtag.
:Example:
['#love', '#sky', '#nice']
... | python | def hashtags(self, quantity: int = 4) -> Union[str, list]:
"""Generate a list of hashtags.
:param quantity: The quantity of hashtags.
:return: The list of hashtags.
:raises NonEnumerableError: if category is not in Hashtag.
:Example:
['#love', '#sky', '#nice']
... | [
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227,945 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.home_page | def home_page(self, tld_type: Optional[TLDType] = None) -> str:
"""Generate a random home page.
:param tld_type: TLD type.
:return: Random home page.
:Example:
http://www.fontir.info
"""
resource = self.random.choice(USERNAMES)
domain = self.top_leve... | python | def home_page(self, tld_type: Optional[TLDType] = None) -> str:
"""Generate a random home page.
:param tld_type: TLD type.
:return: Random home page.
:Example:
http://www.fontir.info
"""
resource = self.random.choice(USERNAMES)
domain = self.top_leve... | [
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:param tld_type: TLD type.
:return: Random home page.
:Example:
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227,946 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.top_level_domain | def top_level_domain(self, tld_type: Optional[TLDType] = None) -> str:
"""Return random top level domain.
:param tld_type: Enum object DomainType
:return: Top level domain.
:raises NonEnumerableError: if tld_type not in DomainType.
"""
key = self._validate_enum(item=tld_... | python | def top_level_domain(self, tld_type: Optional[TLDType] = None) -> str:
"""Return random top level domain.
:param tld_type: Enum object DomainType
:return: Top level domain.
:raises NonEnumerableError: if tld_type not in DomainType.
"""
key = self._validate_enum(item=tld_... | [
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227,947 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.network_protocol | def network_protocol(self, layer: Optional[Layer] = None) -> str:
"""Get a random network protocol form OSI model.
:param layer: Enum object Layer.
:return: Protocol name.
:Example:
AMQP
"""
key = self._validate_enum(item=layer, enum=Layer)
protocols... | python | def network_protocol(self, layer: Optional[Layer] = None) -> str:
"""Get a random network protocol form OSI model.
:param layer: Enum object Layer.
:return: Protocol name.
:Example:
AMQP
"""
key = self._validate_enum(item=layer, enum=Layer)
protocols... | [
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:Example:
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227,948 | lk-geimfari/mimesis | mimesis/providers/internet.py | Internet.port | def port(self, port_range: PortRange = PortRange.ALL) -> int:
"""Generate random port.
:param port_range: Range enum object.
:return: Port number.
:raises NonEnumerableError: if port_range is not in PortRange.
:Example:
8080
"""
if port_range and por... | python | def port(self, port_range: PortRange = PortRange.ALL) -> int:
"""Generate random port.
:param port_range: Range enum object.
:return: Port number.
:raises NonEnumerableError: if port_range is not in PortRange.
:Example:
8080
"""
if port_range and por... | [
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:param port_range: Range enum object.
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:Example:
8080 | [
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227,949 | lk-geimfari/mimesis | mimesis/providers/transport.py | Transport.truck | def truck(self, model_mask: str = '#### @@') -> str:
"""Generate a truck model.
:param model_mask: Mask of truck model. Here '@' is a
placeholder of characters and '#' is a placeholder of digits.
:return: Dummy truck model.
:Example:
Caledon-966O.
"""
... | python | def truck(self, model_mask: str = '#### @@') -> str:
"""Generate a truck model.
:param model_mask: Mask of truck model. Here '@' is a
placeholder of characters and '#' is a placeholder of digits.
:return: Dummy truck model.
:Example:
Caledon-966O.
"""
... | [
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227,950 | lk-geimfari/mimesis | mimesis/providers/transport.py | Transport.airplane | def airplane(self, model_mask: str = '###') -> str:
"""Generate a dummy airplane model.
:param model_mask: Mask of truck model. Here '@' is a
placeholder of characters and '#' is a placeholder of digits.
:return: Airplane model.
:Example:
Boeing 727.
"""... | python | def airplane(self, model_mask: str = '###') -> str:
"""Generate a dummy airplane model.
:param model_mask: Mask of truck model. Here '@' is a
placeholder of characters and '#' is a placeholder of digits.
:return: Airplane model.
:Example:
Boeing 727.
"""... | [
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227,951 | lk-geimfari/mimesis | mimesis/providers/transport.py | Transport.vehicle_registration_code | def vehicle_registration_code(self, locale: Optional[str] = None) -> str:
"""Get vehicle registration code of country.
:param locale: Registration code for locale (country).
:return: Vehicle registration code.
"""
if locale:
return VRC_BY_LOCALES[locale]
ret... | python | def vehicle_registration_code(self, locale: Optional[str] = None) -> str:
"""Get vehicle registration code of country.
:param locale: Registration code for locale (country).
:return: Vehicle registration code.
"""
if locale:
return VRC_BY_LOCALES[locale]
ret... | [
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227,952 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.bulk_create_datetimes | def bulk_create_datetimes(date_start: DateTime,
date_end: DateTime, **kwargs) -> List[DateTime]:
"""Bulk create datetime objects.
This method creates list of datetime objects from
``date_start`` to ``date_end``.
You can use the following keyword arguments:... | python | def bulk_create_datetimes(date_start: DateTime,
date_end: DateTime, **kwargs) -> List[DateTime]:
"""Bulk create datetime objects.
This method creates list of datetime objects from
``date_start`` to ``date_end``.
You can use the following keyword arguments:... | [
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227,953 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.week_date | def week_date(self, start: int = 2017, end: int = 2018) -> str:
"""Get week number with year.
:param start: From start.
:param end: To end.
:return: Week number.
"""
year = self.year(start, end)
week = self.random.randint(1, 52)
return '{year}-W{week}'.fo... | python | def week_date(self, start: int = 2017, end: int = 2018) -> str:
"""Get week number with year.
:param start: From start.
:param end: To end.
:return: Week number.
"""
year = self.year(start, end)
week = self.random.randint(1, 52)
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227,954 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.day_of_week | def day_of_week(self, abbr: bool = False) -> str:
"""Get a random day of week.
:param abbr: Abbreviated day name.
:return: Day of the week.
"""
key = 'abbr' if abbr else 'name'
days = self._data['day'].get(key)
return self.random.choice(days) | python | def day_of_week(self, abbr: bool = False) -> str:
"""Get a random day of week.
:param abbr: Abbreviated day name.
:return: Day of the week.
"""
key = 'abbr' if abbr else 'name'
days = self._data['day'].get(key)
return self.random.choice(days) | [
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227,955 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.month | def month(self, abbr: bool = False) -> str:
"""Get a random month.
:param abbr: Abbreviated month name.
:return: Month name.
"""
key = 'abbr' if abbr else 'name'
months = self._data['month'].get(key)
return self.random.choice(months) | python | def month(self, abbr: bool = False) -> str:
"""Get a random month.
:param abbr: Abbreviated month name.
:return: Month name.
"""
key = 'abbr' if abbr else 'name'
months = self._data['month'].get(key)
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227,956 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.year | def year(self, minimum: int = 1990, maximum: int = 2050) -> int:
"""Generate a random year.
:param minimum: Minimum value.
:param maximum: Maximum value.
:return: Year.
"""
return self.random.randint(minimum, maximum) | python | def year(self, minimum: int = 1990, maximum: int = 2050) -> int:
"""Generate a random year.
:param minimum: Minimum value.
:param maximum: Maximum value.
:return: Year.
"""
return self.random.randint(minimum, maximum) | [
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227,957 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.periodicity | def periodicity(self) -> str:
"""Get a random periodicity string.
:return: Periodicity.
"""
periodicity = self._data['periodicity']
return self.random.choice(periodicity) | python | def periodicity(self) -> str:
"""Get a random periodicity string.
:return: Periodicity.
"""
periodicity = self._data['periodicity']
return self.random.choice(periodicity) | [
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227,958 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.date | def date(self, start: int = 2000, end: int = 2019) -> Date:
"""Generate random date object.
:param start: Minimum value of year.
:param end: Maximum value of year.
:return: Formatted date.
"""
year = self.random.randint(start, end)
month = self.random.randint(1, ... | python | def date(self, start: int = 2000, end: int = 2019) -> Date:
"""Generate random date object.
:param start: Minimum value of year.
:param end: Maximum value of year.
:return: Formatted date.
"""
year = self.random.randint(start, end)
month = self.random.randint(1, ... | [
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227,959 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.formatted_date | def formatted_date(self, fmt: str = '', **kwargs) -> str:
"""Generate random date as string.
:param fmt: The format of date, if None then use standard
accepted in the current locale.
:param kwargs: Keyword arguments for :meth:`~Datetime.date()`
:return: Formatted date.
... | python | def formatted_date(self, fmt: str = '', **kwargs) -> str:
"""Generate random date as string.
:param fmt: The format of date, if None then use standard
accepted in the current locale.
:param kwargs: Keyword arguments for :meth:`~Datetime.date()`
:return: Formatted date.
... | [
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227,960 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.time | def time(self) -> Time:
"""Generate a random time object.
:return: ``datetime.time`` object.
"""
random_time = time(
self.random.randint(0, 23),
self.random.randint(0, 59),
self.random.randint(0, 59),
self.random.randint(0, 999999),
... | python | def time(self) -> Time:
"""Generate a random time object.
:return: ``datetime.time`` object.
"""
random_time = time(
self.random.randint(0, 23),
self.random.randint(0, 59),
self.random.randint(0, 59),
self.random.randint(0, 999999),
... | [
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227,961 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.formatted_time | def formatted_time(self, fmt: str = '') -> str:
"""Generate string formatted time.
:param fmt: The format of time, if None then use standard
accepted in the current locale.
:return: String formatted time.
"""
time_obj = self.time()
if not fmt:
fm... | python | def formatted_time(self, fmt: str = '') -> str:
"""Generate string formatted time.
:param fmt: The format of time, if None then use standard
accepted in the current locale.
:return: String formatted time.
"""
time_obj = self.time()
if not fmt:
fm... | [
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227,962 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.datetime | def datetime(self, start: int = 2000, end: int = 2035,
timezone: Optional[str] = None) -> DateTime:
"""Generate random datetime.
:param start: Minimum value of year.
:param end: Maximum value of year.
:param timezone: Set custom timezone (pytz required).
:return... | python | def datetime(self, start: int = 2000, end: int = 2035,
timezone: Optional[str] = None) -> DateTime:
"""Generate random datetime.
:param start: Minimum value of year.
:param end: Maximum value of year.
:param timezone: Set custom timezone (pytz required).
:return... | [
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227,963 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.formatted_datetime | def formatted_datetime(self, fmt: str = '', **kwargs) -> str:
"""Generate datetime string in human readable format.
:param fmt: Custom format (default is format for current locale)
:param kwargs: Keyword arguments for :meth:`~Datetime.datetime()`
:return: Formatted datetime string.
... | python | def formatted_datetime(self, fmt: str = '', **kwargs) -> str:
"""Generate datetime string in human readable format.
:param fmt: Custom format (default is format for current locale)
:param kwargs: Keyword arguments for :meth:`~Datetime.datetime()`
:return: Formatted datetime string.
... | [
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227,964 | lk-geimfari/mimesis | mimesis/providers/date.py | Datetime.timestamp | def timestamp(self, posix: bool = True, **kwargs) -> Union[str, int]:
"""Generate random timestamp.
:param posix: POSIX time.
:param kwargs: Kwargs for :meth:`~Datetime.datetime()`.
:return: Timestamp.
"""
stamp = self.datetime(**kwargs)
if posix:
re... | python | def timestamp(self, posix: bool = True, **kwargs) -> Union[str, int]:
"""Generate random timestamp.
:param posix: POSIX time.
:param kwargs: Kwargs for :meth:`~Datetime.datetime()`.
:return: Timestamp.
"""
stamp = self.datetime(**kwargs)
if posix:
re... | [
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227,965 | lk-geimfari/mimesis | mimesis/providers/cryptographic.py | Cryptographic.uuid | def uuid(self, version: int = None) -> str:
"""Generate random UUID.
:param version: UUID version.
:return: UUID
"""
bits = self.random.getrandbits(128)
return str(uuid.UUID(int=bits, version=version)) | python | def uuid(self, version: int = None) -> str:
"""Generate random UUID.
:param version: UUID version.
:return: UUID
"""
bits = self.random.getrandbits(128)
return str(uuid.UUID(int=bits, version=version)) | [
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227,966 | lk-geimfari/mimesis | mimesis/providers/cryptographic.py | Cryptographic.hash | def hash(self, algorithm: Algorithm = None) -> str: # noqa: A003
"""Generate random hash.
To change hashing algorithm, pass parameter ``algorithm``
with needed value of the enum object :class:`~mimesis.enums.Algorithm`
:param algorithm: Enum object :class:`~mimesis.enums.Algorithm`.
... | python | def hash(self, algorithm: Algorithm = None) -> str: # noqa: A003
"""Generate random hash.
To change hashing algorithm, pass parameter ``algorithm``
with needed value of the enum object :class:`~mimesis.enums.Algorithm`
:param algorithm: Enum object :class:`~mimesis.enums.Algorithm`.
... | [
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:param algorithm: Enum object :class:`~mimesis.enums.Algorithm`.
:return: Hash.
:raises NonEnumerableError: if algorithm is not... | [
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227,967 | lk-geimfari/mimesis | mimesis/providers/cryptographic.py | Cryptographic.mnemonic_phrase | def mnemonic_phrase(self, length: int = 12) -> str:
"""Generate pseudo mnemonic phrase.
:param length: Number of words.
:return: Mnemonic code.
"""
words = self.__words['normal']
return ' '.join(self.random.choice(words) for _ in range(length)) | python | def mnemonic_phrase(self, length: int = 12) -> str:
"""Generate pseudo mnemonic phrase.
:param length: Number of words.
:return: Mnemonic code.
"""
words = self.__words['normal']
return ' '.join(self.random.choice(words) for _ in range(length)) | [
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227,968 | lk-geimfari/mimesis | setup.py | Minimizer.initialize_options | def initialize_options(self):
"""Find all files of all locales."""
self.paths = []
self.separators = (',', ':')
self.data_dir = join(here, 'mimesis', 'data')
self.before_total = 0
self.after_total = 0
for root, _, files in os.walk(self.data_dir):
for ... | python | def initialize_options(self):
"""Find all files of all locales."""
self.paths = []
self.separators = (',', ':')
self.data_dir = join(here, 'mimesis', 'data')
self.before_total = 0
self.after_total = 0
for root, _, files in os.walk(self.data_dir):
for ... | [
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227,969 | lk-geimfari/mimesis | setup.py | Minimizer.run | def run(self):
"""Start json minimizer and exit when all json files were minimized."""
for rel_path in sorted(self.paths):
file_path = join(self.data_dir, rel_path)
self.minify(file_path)
after = self.size_of(self.after_total)
before = self.size_of(self.before_to... | python | def run(self):
"""Start json minimizer and exit when all json files were minimized."""
for rel_path in sorted(self.paths):
file_path = join(self.data_dir, rel_path)
self.minify(file_path)
after = self.size_of(self.after_total)
before = self.size_of(self.before_to... | [
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227,970 | lk-geimfari/mimesis | mimesis/providers/structure.py | Structure.css | def css(self) -> str:
"""Generate a random snippet of CSS.
:return: CSS.
"""
selector = self.random.choice(CSS_SELECTORS)
css_sel = '{}{}'.format(selector, self.__text.word())
cont_tag = self.random.choice(list(HTML_CONTAINER_TAGS.keys()))
mrk_tag = self.random.... | python | def css(self) -> str:
"""Generate a random snippet of CSS.
:return: CSS.
"""
selector = self.random.choice(CSS_SELECTORS)
css_sel = '{}{}'.format(selector, self.__text.word())
cont_tag = self.random.choice(list(HTML_CONTAINER_TAGS.keys()))
mrk_tag = self.random.... | [
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227,971 | lk-geimfari/mimesis | mimesis/providers/structure.py | Structure.css_property | def css_property(self) -> str:
"""Generate a random snippet of CSS that assigns value to a property.
:return: CSS property.
:Examples:
'background-color: #f4d3a1'
"""
prop = self.random.choice(list(CSS_PROPERTIES.keys()))
val = CSS_PROPERTIES[prop]
... | python | def css_property(self) -> str:
"""Generate a random snippet of CSS that assigns value to a property.
:return: CSS property.
:Examples:
'background-color: #f4d3a1'
"""
prop = self.random.choice(list(CSS_PROPERTIES.keys()))
val = CSS_PROPERTIES[prop]
... | [
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] | 4b16ee7a8dba6281a904654a88dbb4b052869fc5 | https://github.com/lk-geimfari/mimesis/blob/4b16ee7a8dba6281a904654a88dbb4b052869fc5/mimesis/providers/structure.py#L53-L72 |
227,972 | lk-geimfari/mimesis | mimesis/providers/structure.py | Structure.html | def html(self) -> str:
"""Generate a random HTML tag with text inside and some attrs set.
:return: HTML.
:Examples:
'<span class="select" id="careers">
Ports are created with the built-in function open_port.
</span>'
"""
tag_name = self.rando... | python | def html(self) -> str:
"""Generate a random HTML tag with text inside and some attrs set.
:return: HTML.
:Examples:
'<span class="select" id="careers">
Ports are created with the built-in function open_port.
</span>'
"""
tag_name = self.rando... | [
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227,973 | lk-geimfari/mimesis | mimesis/providers/structure.py | Structure.html_attribute_value | def html_attribute_value(self, tag: str = None,
attribute: str = None) -> str:
"""Generate random value for specified HTML tag attribute.
:param tag: An HTML tag.
:param attribute: An attribute of the specified tag.
:return: An attribute.
:raises Not... | python | def html_attribute_value(self, tag: str = None,
attribute: str = None) -> str:
"""Generate random value for specified HTML tag attribute.
:param tag: An HTML tag.
:param attribute: An attribute of the specified tag.
:return: An attribute.
:raises Not... | [
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227,974 | lk-geimfari/mimesis | mimesis/providers/development.py | Development.version | def version(self, calver: bool = False, pre_release: bool = False) -> str:
"""Generate version number.
:param calver: Calendar versioning.
:param pre_release: Pre-release.
:return: Version.
:Example:
0.2.1
"""
# TODO: Optimize
version = '{}.{... | python | def version(self, calver: bool = False, pre_release: bool = False) -> str:
"""Generate version number.
:param calver: Calendar versioning.
:param pre_release: Pre-release.
:return: Version.
:Example:
0.2.1
"""
# TODO: Optimize
version = '{}.{... | [
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:Example:
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227,975 | lk-geimfari/mimesis | mimesis/providers/science.py | Science.chemical_element | def chemical_element(self, name_only: bool = True) -> Union[dict, str]:
"""Generate a random chemical element.
:param name_only: If False then will be returned dict.
:return: Name of chemical element or dict.
:rtype: dict or str
:Example:
{'Symbol': 'S', 'Name': 'Su... | python | def chemical_element(self, name_only: bool = True) -> Union[dict, str]:
"""Generate a random chemical element.
:param name_only: If False then will be returned dict.
:return: Name of chemical element or dict.
:rtype: dict or str
:Example:
{'Symbol': 'S', 'Name': 'Su... | [
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:param name_only: If False then will be returned dict.
:return: Name of chemical element or dict.
:rtype: dict or str
:Example:
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227,976 | lk-geimfari/mimesis | mimesis/builtins/pt_br.py | BrazilSpecProvider.cpf | def cpf(self, with_mask: bool = True) -> str:
"""Get a random CPF.
:param with_mask: Use CPF mask (###.###.###-##).
:returns: Random CPF.
:Example:
001.137.297-40
"""
def get_verifying_digit_cpf(cpf, peso):
"""Calculate the verifying digit for th... | python | def cpf(self, with_mask: bool = True) -> str:
"""Get a random CPF.
:param with_mask: Use CPF mask (###.###.###-##).
:returns: Random CPF.
:Example:
001.137.297-40
"""
def get_verifying_digit_cpf(cpf, peso):
"""Calculate the verifying digit for th... | [
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:Example:
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227,977 | lk-geimfari/mimesis | mimesis/builtins/pt_br.py | BrazilSpecProvider.cnpj | def cnpj(self, with_mask: bool = True) -> str:
"""Get a random CNPJ.
:param with_mask: Use cnpj mask (###.###.###-##)
:returns: Random cnpj.
:Example:
77.732.230/0001-70
"""
def get_verifying_digit_cnpj(cnpj, peso):
"""Calculate the verifying dig... | python | def cnpj(self, with_mask: bool = True) -> str:
"""Get a random CNPJ.
:param with_mask: Use cnpj mask (###.###.###-##)
:returns: Random cnpj.
:Example:
77.732.230/0001-70
"""
def get_verifying_digit_cnpj(cnpj, peso):
"""Calculate the verifying dig... | [
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:Example:
77.732.230/0001-70 | [
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227,978 | lk-geimfari/mimesis | mimesis/decorators.py | romanized | def romanized(locale: str = '') -> Callable:
"""Romanize the Cyrillic text.
Transliterate the Cyrillic language from the Cyrillic
script into the Latin alphabet.
.. note:: At this moment it works only for `ru`, `uk`, `kk`.
:param locale: Locale code.
:return: Latinized text.
"""
def r... | python | def romanized(locale: str = '') -> Callable:
"""Romanize the Cyrillic text.
Transliterate the Cyrillic language from the Cyrillic
script into the Latin alphabet.
.. note:: At this moment it works only for `ru`, `uk`, `kk`.
:param locale: Locale code.
:return: Latinized text.
"""
def r... | [
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Transliterate the Cyrillic language from the Cyrillic
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.. note:: At this moment it works only for `ru`, `uk`, `kk`.
:param locale: Locale code.
:return: Latinized text. | [
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227,979 | lk-geimfari/mimesis | mimesis/providers/food.py | Food._choice_from | def _choice_from(self, key: str) -> str:
"""Choice random element."""
data = self._data[key]
return self.random.choice(data) | python | def _choice_from(self, key: str) -> str:
"""Choice random element."""
data = self._data[key]
return self.random.choice(data) | [
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227,980 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.generate_sentence | def generate_sentence(self) -> str:
"""Generate sentence from the parts.
:return: Sentence.
"""
sentences = self._data['sentence']
sentence = [
self.random.choice(sentences[k]) for k
in ('head', 'p1', 'p2', 'tail')
]
return '{0} {1} {2} {3... | python | def generate_sentence(self) -> str:
"""Generate sentence from the parts.
:return: Sentence.
"""
sentences = self._data['sentence']
sentence = [
self.random.choice(sentences[k]) for k
in ('head', 'p1', 'p2', 'tail')
]
return '{0} {1} {2} {3... | [
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227,981 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.patronymic | def patronymic(self, gender: Gender = None) -> str:
"""Generate random patronymic name.
:param gender: Gender of person.
:return: Patronymic name.
:Example:
Алексеевна.
"""
gender = self._validate_enum(gender, Gender)
patronymics = self._data['patron... | python | def patronymic(self, gender: Gender = None) -> str:
"""Generate random patronymic name.
:param gender: Gender of person.
:return: Patronymic name.
:Example:
Алексеевна.
"""
gender = self._validate_enum(gender, Gender)
patronymics = self._data['patron... | [
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Алексеевна. | [
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227,982 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.passport_series | def passport_series(self, year: int = None) -> str:
"""Generate random series of passport.
:param year: Year of manufacture.
:type year: int or None
:return: Series.
:Example:
02 15.
"""
if not year:
year = self.random.randint(10, 18)
... | python | def passport_series(self, year: int = None) -> str:
"""Generate random series of passport.
:param year: Year of manufacture.
:type year: int or None
:return: Series.
:Example:
02 15.
"""
if not year:
year = self.random.randint(10, 18)
... | [
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02 15. | [
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227,983 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.snils | def snils(self) -> str:
"""Generate snils with special algorithm.
:return: SNILS.
:Example:
41917492600.
"""
numbers = []
control_codes = []
for i in range(0, 9):
numbers.append(self.random.randint(0, 9))
for i in range(9, 0, -1... | python | def snils(self) -> str:
"""Generate snils with special algorithm.
:return: SNILS.
:Example:
41917492600.
"""
numbers = []
control_codes = []
for i in range(0, 9):
numbers.append(self.random.randint(0, 9))
for i in range(9, 0, -1... | [
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227,984 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.inn | def inn(self) -> str:
"""Generate random, but valid ``INN``.
:return: INN.
"""
def control_sum(nums: list, t: str) -> int:
digits = {
'n2': [7, 2, 4, 10, 3, 5, 9, 4, 6, 8],
'n1': [3, 7, 2, 4, 10, 3, 5, 9, 4, 6, 8],
}
nu... | python | def inn(self) -> str:
"""Generate random, but valid ``INN``.
:return: INN.
"""
def control_sum(nums: list, t: str) -> int:
digits = {
'n2': [7, 2, 4, 10, 3, 5, 9, 4, 6, 8],
'n1': [3, 7, 2, 4, 10, 3, 5, 9, 4, 6, 8],
}
nu... | [
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227,985 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.ogrn | def ogrn(self) -> str:
"""Generate random valid ``OGRN``.
:return: OGRN.
:Example:
4715113303725.
"""
numbers = []
for _ in range(0, 12):
numbers.append(self.random.randint(1 if _ == 0 else 0, 9))
ogrn = ''.join([str(x) for x in numbers]... | python | def ogrn(self) -> str:
"""Generate random valid ``OGRN``.
:return: OGRN.
:Example:
4715113303725.
"""
numbers = []
for _ in range(0, 12):
numbers.append(self.random.randint(1 if _ == 0 else 0, 9))
ogrn = ''.join([str(x) for x in numbers]... | [
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227,986 | lk-geimfari/mimesis | mimesis/builtins/ru.py | RussiaSpecProvider.kpp | def kpp(self) -> str:
"""Generate random ``KPP``.
:return: 'KPP'.
:Example:
560058652.
"""
tax_codes = [
'7700', '7800', '5000', '0100',
'0200', '0300', '0500', '0600',
'0700', '0800', '0900', '1000',
'1100', '1200', '... | python | def kpp(self) -> str:
"""Generate random ``KPP``.
:return: 'KPP'.
:Example:
560058652.
"""
tax_codes = [
'7700', '7800', '5000', '0100',
'0200', '0300', '0500', '0600',
'0700', '0800', '0900', '1000',
'1100', '1200', '... | [
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227,987 | lk-geimfari/mimesis | mimesis/providers/hardware.py | Hardware.cpu_frequency | def cpu_frequency(self) -> str:
"""Get a random frequency of CPU.
:return: Frequency of CPU.
:Example:
4.0 GHz.
"""
return '{}GHz'.format(
self.random.uniform(
a=1.5,
b=4.3,
precision=1,
),
... | python | def cpu_frequency(self) -> str:
"""Get a random frequency of CPU.
:return: Frequency of CPU.
:Example:
4.0 GHz.
"""
return '{}GHz'.format(
self.random.uniform(
a=1.5,
b=4.3,
precision=1,
),
... | [
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227,988 | lk-geimfari/mimesis | mimesis/providers/numbers.py | Numbers.floats | def floats(self, n: int = 2) -> List[float]:
"""Generate a list of random float numbers.
:param n: Raise 10 to the 'n' power.
:return: The list of floating-point numbers.
"""
nums = [self.random.random()
for _ in range(10 ** int(n))]
return nums | python | def floats(self, n: int = 2) -> List[float]:
"""Generate a list of random float numbers.
:param n: Raise 10 to the 'n' power.
:return: The list of floating-point numbers.
"""
nums = [self.random.random()
for _ in range(10 ** int(n))]
return nums | [
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227,989 | lk-geimfari/mimesis | mimesis/providers/numbers.py | Numbers.integers | def integers(self, start: int = 0, end: int = 10,
length: int = 10) -> List[int]:
"""Generate a list of random integers.
Integers can be negative or positive numbers.
.. note: You can use both positive and negative numbers.
:param start: Start.
:param end: End.... | python | def integers(self, start: int = 0, end: int = 10,
length: int = 10) -> List[int]:
"""Generate a list of random integers.
Integers can be negative or positive numbers.
.. note: You can use both positive and negative numbers.
:param start: Start.
:param end: End.... | [
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:param length: Length of list.
:return: List of integers.
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227,990 | lk-geimfari/mimesis | mimesis/providers/numbers.py | Numbers.primes | def primes(start: int = 1, end: int = 999) -> List[int]:
"""Generate a list of prime numbers.
:param start: First value of range.
:param end: Last value of range.
:return: A list of prime numbers from start to end.
"""
# TODO: It should generate random primes with passed... | python | def primes(start: int = 1, end: int = 999) -> List[int]:
"""Generate a list of prime numbers.
:param start: First value of range.
:param end: Last value of range.
:return: A list of prime numbers from start to end.
"""
# TODO: It should generate random primes with passed... | [
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227,991 | lk-geimfari/mimesis | mimesis/providers/numbers.py | Numbers.digit | def digit(self, to_bin: bool = False) -> Union[str, int]:
"""Get a random digit.
:param to_bin: If True then convert to binary.
:return: Digit.
:Example:
4.
"""
digit = self.random.randint(0, 9)
if to_bin:
return bin(digit)
retu... | python | def digit(self, to_bin: bool = False) -> Union[str, int]:
"""Get a random digit.
:param to_bin: If True then convert to binary.
:return: Digit.
:Example:
4.
"""
digit = self.random.randint(0, 9)
if to_bin:
return bin(digit)
retu... | [
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227,992 | lk-geimfari/mimesis | mimesis/providers/numbers.py | Numbers.between | def between(self, minimum: int = 1, maximum: int = 1000) -> int:
"""Generate a random number between minimum and maximum.
:param minimum: Minimum of range.
:param maximum: Maximum of range.
:return: Number.
"""
return self.random.randint(minimum, maximum) | python | def between(self, minimum: int = 1, maximum: int = 1000) -> int:
"""Generate a random number between minimum and maximum.
:param minimum: Minimum of range.
:param maximum: Maximum of range.
:return: Number.
"""
return self.random.randint(minimum, maximum) | [
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227,993 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.age | def age(self, minimum: int = 16, maximum: int = 66) -> int:
"""Get a random integer value.
:param maximum: Maximum value of age.
:param minimum: Minimum value of age.
:return: Random integer.
:Example:
23.
"""
age = self.random.randint(minimum, maxim... | python | def age(self, minimum: int = 16, maximum: int = 66) -> int:
"""Get a random integer value.
:param maximum: Maximum value of age.
:param minimum: Minimum value of age.
:return: Random integer.
:Example:
23.
"""
age = self.random.randint(minimum, maxim... | [
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:param maximum: Maximum value of age.
:param minimum: Minimum value of age.
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:Example:
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227,994 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.work_experience | def work_experience(self, working_start_age: int = 22) -> int:
"""Get a work experience.
:param working_start_age: Age then person start to work.
:return: Depend on previous generated age.
"""
age = self._store['age']
if age == 0:
age = self.age()
re... | python | def work_experience(self, working_start_age: int = 22) -> int:
"""Get a work experience.
:param working_start_age: Age then person start to work.
:return: Depend on previous generated age.
"""
age = self._store['age']
if age == 0:
age = self.age()
re... | [
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:return: Depend on previous generated age. | [
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227,995 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.name | def name(self, gender: Optional[Gender] = None) -> str:
"""Generate a random name.
:param gender: Gender's enum object.
:return: Name.
:Example:
John.
"""
key = self._validate_enum(gender, Gender)
names = self._data['names'].get(key)
return s... | python | def name(self, gender: Optional[Gender] = None) -> str:
"""Generate a random name.
:param gender: Gender's enum object.
:return: Name.
:Example:
John.
"""
key = self._validate_enum(gender, Gender)
names = self._data['names'].get(key)
return s... | [
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:Example:
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227,996 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.surname | def surname(self, gender: Optional[Gender] = None) -> str:
"""Generate a random surname.
:param gender: Gender's enum object.
:return: Surname.
:Example:
Smith.
"""
surnames = self._data['surnames']
# Surnames separated by gender.
if isinsta... | python | def surname(self, gender: Optional[Gender] = None) -> str:
"""Generate a random surname.
:param gender: Gender's enum object.
:return: Surname.
:Example:
Smith.
"""
surnames = self._data['surnames']
# Surnames separated by gender.
if isinsta... | [
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:Example:
Smith. | [
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227,997 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.title | def title(self, gender: Optional[Gender] = None,
title_type: Optional[TitleType] = None) -> str:
"""Generate a random title for name.
You can generate random prefix or suffix
for name using this method.
:param gender: The gender.
:param title_type: TitleType enum ... | python | def title(self, gender: Optional[Gender] = None,
title_type: Optional[TitleType] = None) -> str:
"""Generate a random title for name.
You can generate random prefix or suffix
for name using this method.
:param gender: The gender.
:param title_type: TitleType enum ... | [
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227,998 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.full_name | def full_name(self, gender: Optional[Gender] = None,
reverse: bool = False) -> str:
"""Generate a random full name.
:param reverse: Return reversed full name.
:param gender: Gender's enum object.
:return: Full name.
:Example:
Johann Wolfgang.
... | python | def full_name(self, gender: Optional[Gender] = None,
reverse: bool = False) -> str:
"""Generate a random full name.
:param reverse: Return reversed full name.
:param gender: Gender's enum object.
:return: Full name.
:Example:
Johann Wolfgang.
... | [
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Johann Wolfgang. | [
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227,999 | lk-geimfari/mimesis | mimesis/providers/person.py | Person.username | def username(self, template: Optional[str] = None) -> str:
"""Generate username by template.
Supported template placeholders: (U, l, d)
Supported separators: (-, ., _)
Template must contain at least one "U" or "l" placeholder.
If template is None one of the following template... | python | def username(self, template: Optional[str] = None) -> str:
"""Generate username by template.
Supported template placeholders: (U, l, d)
Supported separators: (-, ., _)
Template must contain at least one "U" or "l" placeholder.
If template is None one of the following template... | [
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Supported template placeholders: (U, l, d)
Supported separators: (-, ., _)
Template must contain at least one "U" or "l" placeholder.
If template is None one of the following templates is used:
('U_d', 'U.d', 'U-d', 'UU-d', 'UU.d', 'UU_d',
... | [
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