code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
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"""Avro based TFX example gen executor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Any, Dict, Text
from absl import logging
import apache_beam as beam
import tensorflow as tf
from tfx.components.example_gen import util... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/example_gen/custom_executors/avro_executor.py | 0.847684 | 0.334318 | avro_executor.py | pypi |
"""TFX ImportExampleGen component definition."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, Optional, Text, Union
from absl import logging
from tfx import types
from tfx.components.example_gen import component
from tfx.co... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/example_gen/import_example_gen/component.py | 0.772788 | 0.309115 | component.py | pypi |
"""Generic TFX ImportExampleGen executor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Any, Dict, Text, Union
from absl import logging
import apache_beam as beam
import tensorflow as tf
from tfx.components.example_gen im... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/example_gen/import_example_gen/executor.py | 0.821546 | 0.351283 | executor.py | pypi |
"""TFX CsvExampleGen component definition."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, Optional, Text, Union
from absl import logging
from tfx import types
from tfx.components.example_gen import component
from tfx.compo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/example_gen/csv_example_gen/component.py | 0.877451 | 0.387806 | component.py | pypi |
"""Generic TFX CSV example gen executor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Any, Dict, Iterable, List, Text
from absl import logging
import apache_beam as beam
import tensorflow as tf
from tfx.components.example... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/example_gen/csv_example_gen/executor.py | 0.847432 | 0.237897 | executor.py | pypi |
"""TFX Tuner component definition."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, NamedTuple, Optional, Text
from kerastuner.engine import base_tuner
from tfx import types
from tfx.components.tuner import executor
from tfx... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/tuner/component.py | 0.930261 | 0.328664 | component.py | pypi |
"""Generic TFX tuner executor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import os
from typing import Any, Callable, Dict, List, Optional, Text
from absl import logging
from kerastuner.engine import base_tuner
from tfx import types
fro... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/tuner/executor.py | 0.696268 | 0.183813 | executor.py | pypi |
"""Common functionalities used in transform executor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import inspect
import sys
from typing import Any, Callable, Text, Sequence, Mapping
def GetValues(inputs: Mapping[Text, Sequence[Any]],
... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/util/value_utils.py | 0.837121 | 0.435481 | value_utils.py | pypi |
"""Utility functions related to Examples artifact shared by components."""
# TODO(b/149535307): Remove __future__ imports
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Text
from absl import logging
from tfx import types
from tfx.compon... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/util/examples_utils.py | 0.754553 | 0.381104 | examples_utils.py | pypi |
"""TFX Pusher component definition."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, Optional, Text, Union
from tfx import types
from tfx.components.yulong_pusher import executor
from tfx.dsl.components.base import base_compo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/yulong_pusher/component.py | 0.861626 | 0.711067 | component.py | pypi |
"""TFX Evaluator component definition."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, List, Optional, Text, Union
from absl import logging
import tensorflow_model_analysis as tfma
from tfx import types
from tfx.components.... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/evaluator/component.py | 0.807537 | 0.350421 | component.py | pypi |
"""Generic TFX model evaluator executor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Any, Dict, List, Text
from absl import logging
import apache_beam as beam
import tensorflow_model_analysis as tfma
from tensorflow_mode... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/components/evaluator/executor.py | 0.924043 | 0.203401 | executor.py | pypi |
# TODO(b/149535307): Remove __future__ imports
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
from typing import List, Text
from tfx.dsl.components.base import base_executor
from tfx.types import channel_utils
from tfx.utils import imp... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/scripts/run_component.py | 0.441914 | 0.192198 | run_component.py | pypi |
"""Common script to invoke TFX executors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import base64
import json
import absl
from tfx.dsl.components.base import base_executor
from tfx.types import artifact_utils
from tfx.utils import ... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/scripts/run_executor.py | 0.651022 | 0.650523 | run_executor.py | pypi |
"""TFX Channel definition."""
import inspect
import json
import textwrap
from typing import Any, Dict, Iterable, Optional, Text, Type, Union
from tfx.types import artifact_utils
from tfx.types.artifact import Artifact
from tfx.utils import json_utils
from google.protobuf import json_format
from ml_metadata.proto impo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/types/channel.py | 0.784814 | 0.24947 | channel.py | pypi |
"""Utilities for retrieving paths for various types of artifacts."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Text
import absl
from tfx.dsl.io import fileio
from tfx.utils import io_utils
EVAL_MODEL_DIR = 'eval_model_di... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/path_utils.py | 0.645232 | 0.167797 | path_utils.py | pypi |
"""Utilities to dump and load Jsonable object to/from JSONs."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import importlib
import inspect
import json
from typing import Any, Dict, List, Text, Type, Union
from six import with_metaclass
from... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/json_utils.py | 0.891917 | 0.196518 | json_utils.py | pypi |
"""Utilities for proto related manipulations."""
import itertools
from typing import Any, Dict, Iterator, TypeVar
from google.protobuf import descriptor as descriptor_lib
from google.protobuf import json_format
from google.protobuf import message
def gather_file_descriptors(
descriptor: descriptor_lib.Descripto... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/proto_utils.py | 0.870652 | 0.168139 | proto_utils.py | pypi |
"""Utilities for topological sort."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Callable, List, Sequence, Text, TypeVar
NodeT = TypeVar('NodeT')
class InvalidDAGError(Exception):
"""Error to indicate invalid DAG."""
def topso... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/topsort.py | 0.97924 | 0.466177 | topsort.py | pypi |
"""Utilities for gathering telemetry for TFX components and pipelines."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import contextlib
import re
import sys
import threading
from typing import Dict, List, Text
from tfx import version
# Common label na... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/telemetry_utils.py | 0.765856 | 0.229535 | telemetry_utils.py | pypi |
"""Utilities for Python dependency and package management."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import subprocess
import sys
import tempfile
from typing import List, Text
import absl
from tfx import dependencies
from ... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/dependency_utils.py | 0.548915 | 0.203332 | dependency_utils.py | pypi |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Optional, Text, Tuple
def make_model_path(model_base_path: Text, model_name: Text,
version: int) -> Text:
"""Make README.ml-pipelines-sdk.md TFS-flavored mod... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/utils/model_paths/tf_serving_flavor.py | 0.920968 | 0.220468 | tf_serving_flavor.py | pypi |
"""Helper functions to choose engine."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import subprocess
import sys
from typing import Any, Dict, Text
import click
from tfx.tools.cli import labels
from tfx.tools.cli import pip_utils
from tfx.tools.cli.h... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/tools/cli/handler/handler_factory.py | 0.717408 | 0.193433 | handler_factory.py | pypi |
"""BuildSpec helper."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from typing import Optional, Text
import click
from tfx.tools.cli.container_builder import labels
import yaml
class BuildSpec(object):
"""Build specification.
BuildSpe... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/tools/cli/container_builder/buildspec.py | 0.906474 | 0.167117 | buildspec.py | pypi |
"""Base class for classes representing README.ml-pipelines-sdk.md dataset for the benchmark."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
class BenchmarkDataset(object):
"""Base class for classes representing READ... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/benchmarks/benchmark_dataset.py | 0.949611 | 0.45532 | benchmark_dataset.py | pypi |
"""TFT benchmark base."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import shutil
import tempfile
import time
# Standard Imports
from absl import logging
import apache_beam as beam
import tensorflow as tf
import tensorflow_transfo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/benchmarks/tft_benchmark_base.py | 0.887832 | 0.231506 | tft_benchmark_base.py | pypi |
"""Chicago taxi dataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import itertools
import math
import os
import shutil
import tempfile
from typing import Optional, Text
from absl import logging
import apache_beam as beam
import tensorflow_transfo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/benchmarks/datasets/chicago_taxi/dataset.py | 0.864953 | 0.299758 | dataset.py | pypi |
"""Data types util shared for orchestration."""
from typing import Dict, Iterable, List, Mapping, Optional, Union
from tfx import types
from tfx.proto.orchestration import pipeline_pb2
from tfx.types import artifact_utils
from ml_metadata.proto import metadata_store_pb2
from ml_metadata.proto import metadata_store_se... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/data_types_utils.py | 0.939088 | 0.286656 | data_types_utils.py | pypi |
"""Common data types for orchestration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, List, Optional, Text, Type, Union
from absl import logging
from tfx import types
from tfx.utils import json_utils
# Regex pattern of Ru... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/data_types.py | 0.922905 | 0.222098 | data_types.py | pypi |
"""Definition of Kubernetes TFX runner."""
import datetime
import json
from typing import List, Optional, Text, Type
import absl
from tfx.dsl.component.experimental import container_component
from tfx.dsl.components.base import base_node
from tfx.orchestration import data_types
from tfx.orchestration import metadata
... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/kubernetes/kubernetes_dag_runner.py | 0.867682 | 0.19475 | kubernetes_dag_runner.py | pypi |
"""Kubernetes TFX runner for out-of-cluster orchestration."""
import datetime
import json
import time
from typing import Dict, List, Text
import absl
from kubernetes import client
from tfx.dsl.components.base import base_node
from tfx.orchestration import pipeline as tfx_pipeline
from tfx.orchestration.kubeflow impor... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/kubernetes/kubernetes_remote_runner.py | 0.732592 | 0.185799 | kubernetes_remote_runner.py | pypi |
"""Chicago taxi example using TFX Kubernetes Orchestrator."""
import os
from typing import List, Text
import absl
import tensorflow_model_analysis as tfma
from tfx.components import CsvExampleGen
from tfx.components import Evaluator
from tfx.components import ExampleValidator
from tfx.components import Pusher
from t... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/kubernetes/examples/taxi_pipeline_kubernetes.py | 0.885316 | 0.419648 | taxi_pipeline_kubernetes.py | pypi |
"""Interfaces and functionality for dealing with service jobs."""
import abc
from typing import Set
from tfx.orchestration.experimental.core import pipeline_state as pstate
from tfx.orchestration.experimental.core import task as task_lib
class ServiceJobManager(abc.ABC):
"""Interface for service job manager."""
... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/service_jobs.py | 0.931618 | 0.59246 | service_jobs.py | pypi |
"""Pipeline-level operations."""
import copy
import functools
import threading
import time
from typing import List, Optional, Sequence, Set, Text
from absl import logging
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import async_pipeline_task_gen
from tfx.orchestration.experimental.... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/pipeline_ops.py | 0.897734 | 0.24915 | pipeline_ops.py | pypi |
"""TaskManager manages the execution and cancellation of tasks."""
from concurrent import futures
import copy
import threading
import time
import typing
from typing import Optional
from absl import logging
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import status as status_lib
from... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/task_manager.py | 0.861407 | 0.22361 | task_manager.py | pypi |
"""Pipeline state management functionality."""
import base64
from typing import List, Text
from absl import logging
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import status as status_lib
from tfx.orchestration.experimental.core import... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/pipeline_state.py | 0.923721 | 0.296602 | pipeline_state.py | pypi |
import abc
import typing
from typing import Dict, List, Optional, Text, Type, TypeVar
import attr
from tfx import types
from tfx.proto.orchestration import pipeline_pb2
from ml_metadata.proto import metadata_store_pb2
# TODO(goutham): Include pipeline key/tag in PipelineUid.
@attr.s(frozen=True)
class PipelineUid:
... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/task.py | 0.735642 | 0.285251 | task.py | pypi |
"""Task queue."""
import queue
import threading
from typing import Optional
from tfx.orchestration.experimental.core import task as task_lib
class TaskQueue:
"""A thread-safe task queue with duplicate detection.
The life-cycle of README.ml-pipelines-sdk.md task starts with producers calling `enqueue`. Consumer... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/task_queue.py | 0.926893 | 0.367724 | task_queue.py | pypi |
"""Utilities for task generation."""
import itertools
from typing import Dict, Iterable, List, Optional, Sequence, Text
import attr
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import task as task_lib
from tfx.orch... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/task_gen_utils.py | 0.942467 | 0.276178 | task_gen_utils.py | pypi |
"""Task scheduler interface and registry."""
import abc
import typing
from typing import Optional, Text, Type, TypeVar
import attr
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import status as status_lib
from tfx.orchestration.experimental.core import task as task_lib
from tfx.proto... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/experimental/core/task_scheduler.py | 0.899399 | 0.499023 | task_scheduler.py | pypi |
"""Utilities for handling common config operations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Optional, Tuple, Type
from tfx.dsl.components.base import base_component
from tfx.orchestration.config import base_component_config
fr... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/config/config_utils.py | 0.898059 | 0.218711 | config_utils.py | pypi |
"""Component config for docker run."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Dict, List, Text, Union
from tfx.orchestration.config import base_component_config
class DockerComponentConfig(base_component_config.BaseComponentCo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/config/docker_component_config.py | 0.821617 | 0.163445 | docker_component_config.py | pypi |
"""Settings for controlling how to run README.ml-pipelines-sdk.md pipeline."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Dict, List, Text, Type
from tfx.orchestration.config import base_component_config
from tfx.orchestration.launc... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/config/pipeline_config.py | 0.764979 | 0.325655 | pipeline_config.py | pypi |
"""Docker component launcher which launches README.ml-pipelines-sdk.md container in docker environment ."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, List, Text, cast
import absl
import docker
from tfx import types
fro... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/launcher/docker_component_launcher.py | 0.68721 | 0.197097 | docker_component_launcher.py | pypi |
"""Common code shared by container based launchers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, List, Optional, Text, Union
# TODO(b/176812386): Deprecate usage of jinja2 for placeholders.
import jinja2
from tfx import... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/launcher/container_common.py | 0.753013 | 0.20203 | container_common.py | pypi |
"""Docker component launcher which launches README.ml-pipelines-sdk.md container in docker environment ."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, List, Optional, Text, cast
from absl import logging
from kubernetes im... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/launcher/kubernetes_component_launcher.py | 0.712832 | 0.26806 | kubernetes_component_launcher.py | pypi |
"""For component execution, includes driver, executor and publisher."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import copy
from typing import Any, Dict, List, Optional, Text
import absl
from six import with_metaclass
from tfx import ty... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/launcher/base_component_launcher.py | 0.892261 | 0.305827 | base_component_launcher.py | pypi |
"""In process component launcher which launches python executors in process."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import os
from typing import Any, Dict, List, Text, cast
from tfx import types
from tfx.dsl.components.base import ... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/launcher/in_process_component_launcher.py | 0.806396 | 0.324971 | in_process_component_launcher.py | pypi |
"""In process inplementation of Resolvers."""
from typing import Mapping, Sequence, Dict, List, Optional
from tfx import types
from tfx.orchestration import metadata
from tfx.orchestration.portable.resolver import factory as resolver_factory
from tfx.proto.orchestration import pipeline_pb2
class ResolverStepProcess... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/resolver_processor.py | 0.92576 | 0.540499 | resolver_processor.py | pypi |
"""Docker component launcher which launches README.ml-pipelines-sdk.md container in docker environment ."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Dict, Optional, cast
from absl import logging
import docker
from tfx.dsl.com... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/docker_executor_operator.py | 0.696371 | 0.226121 | docker_executor_operator.py | pypi |
"""Base class to define how to operator an executor."""
import sys
from typing import Dict, List, Optional, cast
from tfx import types
from tfx.dsl.components.base import base_executor
from tfx.dsl.io import fileio
from tfx.orchestration.portable import base_executor_operator
from tfx.orchestration.portable import dat... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/python_executor_operator.py | 0.739893 | 0.427935 | python_executor_operator.py | pypi |
"""Portable library for registering and publishing executions."""
import copy
import os
from typing import List, Mapping, MutableMapping, Optional, Sequence, cast
from tfx import types
from tfx.orchestration import metadata
from tfx.orchestration.portable.mlmd import execution_lib
from tfx.proto.orchestration import e... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/execution_publish_utils.py | 0.886703 | 0.359477 | execution_publish_utils.py | pypi |
"""This module defines the handler for resolver node."""
from typing import Any, Dict
from absl import logging
from tfx.orchestration import metadata
from tfx.orchestration.portable import execution_publish_utils
from tfx.orchestration.portable import inputs_utils
from tfx.orchestration.portable import system_node_ha... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/resolver_node_handler.py | 0.959478 | 0.336004 | resolver_node_handler.py | pypi |
"""Data types shared for orchestration."""
from typing import Any, Dict, List
import attr
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.proto.orchestration import execution_invocation_pb2
from tfx.proto.orchestration import pipeline_pb2
# TODO(b/150979622): We should introduce an id t... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/data_types.py | 0.657318 | 0.325105 | data_types.py | pypi |
"""This module defines the handler for importer node."""
from typing import Any, Dict
from absl import logging
from tfx import types
from tfx.dsl.components.common import importer
from tfx.orchestration import metadata
from tfx.orchestration.portable import execution_publish_utils
from tfx.orchestration.portable impo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/importer_node_handler.py | 0.946337 | 0.286325 | importer_node_handler.py | pypi |
"""This module defines README.ml-pipelines-sdk.md generic Launcher for all TFleX nodes."""
from typing import Any, Dict, List, Optional, Text, Type, TypeVar
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
from tfx.orchestration import metadata
from tfx.orchestration.portable i... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/launcher.py | 0.727007 | 0.30013 | launcher.py | pypi |
"""Portable libraries for event related APIs."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Optional, Text, Tuple
from ml_metadata.proto import metadata_store_pb2
_VALID_OUTPUT_EVENT_TYPES = frozenset([
metadata_store_pb2.Even... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/mlmd/event_lib.py | 0.956624 | 0.519887 | event_lib.py | pypi |
"""Portable libraries for context related APIs."""
from typing import List, Text
from absl import logging
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.portable.mlmd import common_utils
from tfx.proto.orchestration import pipeline_pb2
import ml_metadata a... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/mlmd/context_lib.py | 0.888484 | 0.33444 | context_lib.py | pypi |
"""Common MLMD utility libraries."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import TypeVar
from absl import logging
from tfx.orchestration import metadata
import ml_metadata as mlmd
from ml_metadata.proto import metadata_store_pb2
Met... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/portable/mlmd/common_utils.py | 0.914324 | 0.194559 | common_utils.py | pypi |
r"""This module defines the entrypoint for the PythonExecutorOperator in TFX.
This library is intended to serve as the entrypoint for README.ml-pipelines-sdk.md binary that packages
the python executors in README.ml-pipelines-sdk.md pipeline. The resulting binary is called by the TFX
launcher and should not be called ... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/python_execution_binary/entrypoint.py | 0.702224 | 0.441191 | entrypoint.py | pypi |
r"""Shared IR serialization logic used by TFleX python executor binary."""
import base64
from tfx.orchestration import metadata
from tfx.orchestration.portable import data_types
from tfx.proto.orchestration import executable_spec_pb2
from tfx.proto.orchestration import execution_invocation_pb2
def deserialize_execu... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/python_execution_binary/python_execution_binary_utils.py | 0.848753 | 0.351228 | python_execution_binary_utils.py | pypi |
"""Definition of Airflow TFX runner."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
from typing import Any, Dict, Optional, Text, Union
import absl
from airflow import models
from tfx.orchestration imp... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/airflow/airflow_dag_runner.py | 0.856137 | 0.249013 | airflow_dag_runner.py | pypi |
"""Definition for Airflow component for TFX."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
from typing import Any, Dict, List, Text, Type
from airflow import models
from airflow.operators import... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/airflow/airflow_component.py | 0.916885 | 0.24907 | airflow_component.py | pypi |
"""Definition of Beam TFX runner."""
import datetime
import os
from typing import Any, Iterable, List, Optional, Text, Union
from absl import logging
import apache_beam as beam
from tfx.dsl.compiler import compiler
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration im... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/beam/beam_dag_runner.py | 0.808219 | 0.296947 | beam_dag_runner.py | pypi |
"""Definition of Beam TFX runner."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import datetime
import os
from typing import Any, Iterable, List, Optional, Text, Type
import absl
import apache_beam as beam
from tfx.dsl.components.base import base_nod... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/beam/legacy/beam_dag_runner.py | 0.813461 | 0.237454 | beam_dag_runner.py | pypi |
"""V2 Kubeflow DAG Runner."""
import datetime
import json
import os
from typing import Any, Dict, List, Optional, Text
from tfx import version
from tfx.dsl.io import fileio
from tfx.orchestration import pipeline as tfx_pipeline
from tfx.orchestration import tfx_runner
from tfx.orchestration.config import pipeline_con... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/kubeflow/v2/kubeflow_v2_dag_runner.py | 0.818519 | 0.205655 | kubeflow_v2_dag_runner.py | pypi |
"""Utility methods for Kubeflow V2 pipeline compilation."""
# TODO(b/172080784): Add more tests for this module.
import json
import os
from typing import Any, Dict, List, Mapping, Optional, Text, Type, Union
from tfx.dsl.io import fileio
from tfx.orchestration import data_types
from tfx.orchestration.kubeflow.v2 impo... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/kubeflow/v2/compiler_utils.py | 0.702734 | 0.252822 | compiler_utils.py | pypi |
"""Builder for Kubeflow pipelines level proto spec."""
import re
from typing import Any, Dict, List, Optional, Text
from tfx.orchestration import data_types
from tfx.orchestration import pipeline
from tfx.orchestration.kubeflow.v2 import compiler_utils
from tfx.orchestration.kubeflow.v2 import parameter_utils
from tf... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/kubeflow/v2/pipeline_builder.py | 0.943458 | 0.31567 | pipeline_builder.py | pypi |
"""Driver for file-based ExampleGen components in Kubeflow V2 runner."""
import argparse
import os
from typing import Any, Dict, List, Optional
from absl import logging
from tfx.components.example_gen import driver
from tfx.components.example_gen import utils
from tfx.dsl.io import fileio
from tfx.orchestration.kube... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/kubeflow/v2/file_based_example_gen/driver.py | 0.7324 | 0.269064 | driver.py | pypi |
"""Entrypoint for invoking TFX components in Kubeflow V2 runner."""
import argparse
import os
from typing import List
from absl import logging
from tfx.components.evaluator import executor as evaluator_executor
from tfx.dsl.components.base import base_executor
from tfx.dsl.io import fileio
from tfx.orchestration.kub... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/kubeflow/v2/container/kubeflow_v2_run_executor.py | 0.624294 | 0.334019 | kubeflow_v2_run_executor.py | pypi |
"""Component that launches CAIP custom training job with flexible interface."""
from typing import Any, Dict, List, Optional, Text
from tfx.dsl.component.experimental import component_utils
from tfx.dsl.component.experimental import placeholders
from tfx.dsl.components.base import base_component
from tfx.dsl.componen... | /rflow_tfx-1.1.18-py3-none-any.whl/tfx/orchestration/kubeflow/v2/components/experimental/ai_platform_training_component.py | 0.837055 | 0.725223 | ai_platform_training_component.py | pypi |
# %%
import pandas as pd
import numpy as np
import plotly.express as px
# %%
def rfm_score_generator(data,totalPaid, day_bought,customerID, invoiceNo = "", format_ = '%d.%m.%Y', R_w=0.15, F_w=0.28, M_w =0.57):
"""
Parameters
----------
data :
totalPaid :
day_bought :
... | /rfm_segmentation-0.1.0.tar.gz/rfm_segmentation-0.1.0/rfm_segmentation/rfm_segmentation.py | 0.719581 | 0.325333 | rfm_segmentation.py | pypi |
<br>
<br>
<div align="left">
<img style="width:400px" src="https://github.com/sonwanesuresh95/rfm/blob/main/example_/rfm-logos_black.png"><br>
</div>
<br>
[](https://pypi.org/project/rfm/)
[
class NodeDefinition:
def __init__(self, name, node_id, payload_format,
channels=None, commands=None):
self.name = name
self.id = node_id
self.payload_format = payload_format
self.channel... | /rfm12-mqtt-gateway-0.1.0.tar.gz/rfm12-mqtt-gateway-0.1.0/rfm12_mqtt_gateway/nodes.py | 0.474388 | 0.232964 | nodes.py | pypi |
from .base import Scraper
class ZooplaScraper(Scraper):
BASE_URL = "https://www.zoopla.co.uk/"
def __init__(self) -> None:
super().__init__()
def set_search_settings(self, city_name: str = None, max_price: int = None):
super().set_search_settings(city_name=city_name, max_price=max_price... | /scraper/zoopla.py | 0.509764 | 0.293063 | zoopla.py | pypi |
from .base import Scraper
class ZooplaScraper(Scraper):
BASE_URL = "https://www.zoopla.co.uk/"
def __init__(self) -> None:
super().__init__()
def set_search_settings(self, city_name: str = None, max_price: int = None):
super().set_search_settings(city_name=city_name, max_price=max_price... | /scraper/zoopla.py | 0.509764 | 0.293063 | zoopla.py | pypi |
# RFPYE
> Este módulo tem como objetivo o processamento e extração otimizada de dados dos arquivos `.bin` de monitoramento do espectro provenientes do script Logger executados nas estações de Monitoramento CRFS RFeye Node. Para tal utilizamos as várias funcionalidades da biblioteca <a href='https://fastcore.fast.ai/bas... | /rfpye-0.3.6.tar.gz/rfpye-0.3.6/README.md | 0.478529 | 0.852629 | README.md | pypi |
import hashlib
import os
import time
import warnings
import xmlrpc.client
import bencodepy
__author__ = 'Braden Baird <bradenbdev@gmail.com>'
__version__ = '0.1.3'
def nested_get(dic, keys):
for key in keys:
dic = dic[key]
return dic
def nested_set(dic, keys, value):
for key in keys[:-1]:
... | /rfr-0.1.3.tar.gz/rfr-0.1.3/rfr.py | 0.711631 | 0.210665 | rfr.py | pypi |
# RFTokenizer
A character-wise tokenizer for morphologically rich languages
For replication of paper results see replication.md
For full NLP pipelines for morphologically rich languages (MRLs) based on this tool, see:
* Coptic: http://www.github.com/CopticScriptorium/coptic-nlp/
* Hebrew: http://www.github.com/a... | /rftokenizer-2.0.1.tar.gz/rftokenizer-2.0.1/README.md | 0.630912 | 0.920968 | README.md | pypi |
# RFVis [](https://pypi.org/project/rfvis/) [](https://pypi.org/project/rfvis/) [](https://pypi.org/project/rfvis/)
A tool for visualizing... | /rfvis-0.3.3.tar.gz/rfvis-0.3.3/README.md | 0.565419 | 0.989938 | README.md | pypi |
# rfwtools
This package provides commonly used functionality around CEBAF C100 RF Waveforms collected by the JLab harvestser. This
includes data management such as download capture files, reading data from disk, parsing label files, running feature
extraction tasks, and generating data reports and visualizations.
## ... | /rfwtools-1.3.0.tar.gz/rfwtools-1.3.0/README.md | 0.73914 | 0.849535 | README.md | pypi |
# JSPyBridge
[](http://npmjs.com/package/pythonia)
[](https://pypi.org/project/javascript/)
[](https://github.com/extremehe... | /rg_javascript-1!1.0.4.tar.gz/rg_javascript-1!1.0.4/README.md | 0.437343 | 0.908089 | README.md | pypi |
from Acquisition import ImplicitAcquisitionWrapper
from UserDict import UserDict
from collective.z3cform.datagridfield.blockdatagridfield import BlockDataGridField # noqa
from plone.app.textfield import RichText
from plone.app.textfield.interfaces import IRichText
from plone.app.textfield.widget import IRichTextWidget... | /rg.infocard-0.9.5.tar.gz/rg.infocard-0.9.5/rg/infocard/models/base.py | 0.614278 | 0.16378 | base.py | pypi |
from .. import rg_infocard_msgfactory as _
from ..models.infocardcontainer import IInfocardcontainer
from ..vocs.infocard_recipients import InfocardRecipients
from ..vocs.infocard_servicetypes import InfocardServicetypes
from Products.CMFPlone import PloneMessageFactory as __
from five import grok
from plone import api... | /rg.infocard-0.9.5.tar.gz/rg.infocard-0.9.5/rg/infocard/browser/infocardcontainer_search.py | 0.484624 | 0.156749 | infocardcontainer_search.py | pypi |
from .. import rg_infocard_logger as logger
from .. import rg_infocard_msgfactory as _
from ..vocs.infocard_servicetypes import InfocardServicetypes
from ..vocs.infocard_recipients import InfocardRecipients
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
from plone import api
from plone.app.form... | /rg.infocard-0.9.5.tar.gz/rg.infocard-0.9.5/rg/infocard/portlets/search.py | 0.654453 | 0.239049 | search.py | pypi |
from DateTime import DateTime
from Products.Five.browser import BrowserView
from datetime import datetime, timedelta, date
from plone import api
from plone.memoize.view import memoize
from rg.prenotazioni import get_or_create_obj, tznow, _
from rg.prenotazioni.adapters.booker import IBooker
from rg.prenotazioni.adapter... | /rg.prenotazioni-4.0.tar.gz/rg.prenotazioni-4.0/src/rg/prenotazioni/browser/prenotazioni_context_state.py | 0.760117 | 0.358072 | prenotazioni_context_state.py | pypi |
from Products.CMFCore.utils import getToolByName
from datetime import date, timedelta
from plone import api
from plone.memoize.view import memoize
from rg.prenotazioni import _
from rg.prenotazioni.browser.base import BaseView
from rg.prenotazioni.browser.interfaces import IDontFollowMe
from rg.prenotazioni.utilities.u... | /rg.prenotazioni-4.0.tar.gz/rg.prenotazioni-4.0/src/rg/prenotazioni/browser/week.py | 0.677261 | 0.183484 | week.py | pypi |
from z3c.form import interfaces
from z3c.form.widget import FieldWidget
from z3c.form.browser.radio import RadioWidget
from z3c.form.interfaces import IRadioWidget
from Products.Five.browser.metaconfigure import ViewMixinForTemplates
from zope.browserpage.viewpagetemplatefile import ViewPageTemplateFile as VPTF
from z3... | /rg.prenotazioni-4.0.tar.gz/rg.prenotazioni-4.0/src/rg/prenotazioni/browser/z3c_custom_widget.py | 0.703753 | 0.165155 | z3c_custom_widget.py | pypi |
from Products.Five.browser import BrowserView
from plone import api
from plone.memoize.view import memoize
from rg.prenotazioni.config import MIN_IN_DAY
from rg.prenotazioni.utilities.urls import urlify
class PrenotazioneView(BrowserView):
"""View for Prenotazione"""
@property
@memoize
def prenotazio... | /rg.prenotazioni-4.0.tar.gz/rg.prenotazioni-4.0/src/rg/prenotazioni/browser/prenotazione.py | 0.661048 | 0.285164 | prenotazione.py | pypi |
from DateTime import DateTime
from pyinter.interval import Interval
from zope.component import Interface
from zope.interface.declarations import implements
def slots_to_points(slots):
''' Return a list of point starting from the slots
'''
points = []
[points.extend([x.lower_value, x.upper_value]) for ... | /rg.prenotazioni-4.0.tar.gz/rg.prenotazioni-4.0/src/rg/prenotazioni/adapters/slot.py | 0.868088 | 0.350936 | slot.py | pypi |
from plone.app.textfield import RichText
from plone.autoform import directives
from plone.dexterity.content import Container
from plone.namedfile import field as namedfile
from plone.supermodel import model
from plone.supermodel.directives import fieldset
from plone.autoform import directives as form
from z3c.form.brow... | /rg.prenotazioni-4.0.tar.gz/rg.prenotazioni-4.0/src/rg/prenotazioni/content/prenotazioni_folder.py | 0.487307 | 0.289635 | prenotazioni_folder.py | pypi |
from rga.base.exceptions import InstCommunicationError, InstSetError, InstQueryError
from rga.base.commands import IntCommand, IntGetCommand, FloatCommand
class RgaIntCommand(IntCommand):
"""
Descriptor for an RGA100 remote command to
**set** and **query** an **integer** value.
Setting a value return... | /rga100/commands.py | 0.793586 | 0.239672 | commands.py | pypi |
from rga.base import Component
from rga.base.commands import IntCommand, IntGetCommand,\
FloatCommand, BoolSetCommand, \
GetCommand
from .commands import RgaIntCommand, RgaFloatCommand, \
RgaIonEnergyCommand, RgaTotalPressureComm... | /rga100/components.py | 0.904797 | 0.349616 | components.py | pypi |
BIT7 = 1 << 7
BIT6 = 1 << 6
BIT5 = 1 << 5
BIT4 = 1 << 4
BIT3 = 1 << 3
BIT2 = 1 << 2
BIT1 = 1 << 1
BIT0 = 1 << 0
ERROR_DICT = {
'NE': 'No Error',
'PS': '* 24V Power Supply Error: ',
'PS7': 'Voltage > 26V',
'PS6': 'Voltage < 22V',
'DET': '* Electrometer Error: ',
'DET7': 'ADC16 test failure',
... | /rga100/errors.py | 0.5144 | 0.273314 | errors.py | pypi |
import struct
import socket
class Packet(object):
# Status bits
DEVICE_STATUS_CONNECTED = 1 << 0 # TCP/IP port is occupied
DEVICE_STATUS_CONFIG_ENABLED = 1 << 1 # IP configuration mode is enabled
DEVICE_STATUS_DHCP_RUNNING = 1 << 2 # DHCP client is running
DEVICE_STATUS_DHCP_SUCESS = ... | /rga100/sicp.py | 0.419053 | 0.163746 | sicp.py | pypi |
**This repository is a fork of Felix Krull's `rgain` repository on Bitbucket
which aims to port the codebase to a modern Python 3 version.**
# rgain3 -- ReplayGain tools and Python library
This Python package provides modules to read, write and calculate Replay Gain
as well as 2 scripts that utilize these modules to ... | /rgain3-1.1.1.tar.gz/rgain3-1.1.1/README.md | 0.67971 | 0.862699 | README.md | pypi |
__ALL__ = [ "RGBColor", "colorize" ]
class RGBColor():
color_names = {
"red": [255, 0, 0],
"green": [0, 255, 0],
"blue": [0, 100, 255],
"white": [255, 255, 255],
"black": [0, 0, 0],
"orange": [255, 153, 0],
"yellow": [255, 255, 0],... | /rgb_colorizer-0.0.6-py3-none-any.whl/rgb_colorizer.py | 0.91058 | 0.463748 | rgb_colorizer.py | pypi |
from typing import List, Dict
PACKAGES_DATA: Dict[str, List[str]] = {
"init": [
"071f0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"071f0000000000000000000000000000000000000000000000000000000000000000000000000000000000... | /rgb-control-0.0.1.tar.gz/rgb-control-0.0.1/rgb_control/rgb_utils.py | 0.844697 | 0.435181 | rgb_utils.py | pypi |
try:
import struct
except ImportError:
import ustruct as struct
try:
from micropython import const
except ImportError:
def const(n): return n
from rgb_display.rgb import DisplayDevice
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/jrmoser/RGB_Display.git"
_NOP = const(0x00)
_SWRESET = con... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/rgb_display/st7735.py | 0.438545 | 0.229115 | st7735.py | pypi |
import time
try:
import numpy
except ImportError:
numpy = None
try:
import struct
except ImportError:
import ustruct as struct
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/jrmoserbaltimore/RGB_Display.git"
# This is the size of the buffer to be used for fill operations, in 16-bit
# uni... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/rgb_display/rgb.py | 0.744563 | 0.433921 | rgb.py | pypi |
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