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
value |
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# Don't connect with the Copyright comment above!
# Version 24.05.2019
import json
from rafcon.utils import log
from rafcontpp.model.type_tree import TypeTree
logger = log.get_logger(__name__)
class TypeMerger:
def __init__(self, datastore):
"""
:param datastore: A datastore containing: A pd... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/type_merger.py | 0.661923 | 0.263576 | type_merger.py | pypi |
# Don't connect with the Copyright comment above!
# Version 21.08.1019
import copy
import json
import os
import time
from rafcon.core.singleton import library_manager
from rafcon.core.singleton import state_machine_manager
from rafcon.core.state_machine import StateMachine
from rafcon.core.states.execution_state im... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/state_machine_generator.py | 0.567218 | 0.279958 | state_machine_generator.py | pypi |
# Don't connect with the Copyright comment above!
# Version 05.07.2019
import os
from rafcon.core.config import global_config
from rafcon.core.singleton import library_manager
from rafcon.utils import log
from rafcontpp.logic.pddl_action_parser import PddlActionParser
from rafcontpp.model.datastore import SEMANTIC_D... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/mapper.py | 0.512205 | 0.247294 | mapper.py | pypi |
# Don't connect with the Copyright comment above!
# Version 09.09.2019
import os
from datetime import datetime
from rafcon.utils import log
from rafcontpp.logic.predicate_merger import PredicateMerger
from rafcontpp.logic.type_merger import TypeMerger
from rafcontpp.model.datastore import PLUGIN_VERSION
logger = lo... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/domain_generator.py | 0.659295 | 0.17858 | domain_generator.py | pypi |
# Don't connect with the Copyright comment above!
# Version 05.07.2019
import os
import unicodedata
from rafcon.core.singleton import library_manager
from rafcon.utils import log
from rafcontpp.logic.pddl_action_parser import PddlActionParser
from rafcontpp.model.datastore import SEMANTIC_DATA_DICT_NAME, PDDL_ACTION... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/pddl_action_loader.py | 0.52975 | 0.278898 | pddl_action_loader.py | pypi |
# Don't connect with the Copyright comment above!
# Version: 17.05.2019
import re
from rafcon.utils import log
from rafcontpp.model.pddl_action_representation import PddlActionRepresentation
logger = log.get_logger(__name__)
class PddlActionParser:
""" PddlActionParser
PddlActionParser is able to parse an... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/pddl_action_parser.py | 0.593256 | 0.276623 | pddl_action_parser.py | pypi |
# Don't connect with the Copyright comment above!
# Version 21.02.2020
import math
import time
import rafcon
from gaphas.solver import Variable
from rafcon.gui.models.state_machine import StateMachineModel
from rafcon.gui.singleton import state_machine_manager_model
from rafcon.gui.utils import constants
from rafcon.... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/state_machine_layouter.py | 0.548674 | 0.507568 | state_machine_layouter.py | pypi |
# Don't connect with the Copyright comment above!
# Version 17.05.2019
import re
from rafcon.utils import log
logger = log.get_logger(__name__)
class PddlFactsParser:
def __init__(self, facts_string):
"""
The facts file parser will later be used to parse a raw facts file into a pddl facts fi... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/logic/pddl_facts_parser.py | 0.652241 | 0.287577 | pddl_facts_parser.py | pypi |
# Don't connect with the Copyright comment above!
# Version 14.06.2019
import os
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
class StatePoolInfoWindow:
"""
The State Pool Infow Window is a info window displaying detailed information about the configured state pool(s)
It for e... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/view/state_pool_info_window.py | 0.727298 | 0.233335 | state_pool_info_window.py | pypi |
# Don't connect with the Copyright comment above!
# Version 24.05.2019
import os
import threading
import time
import traceback
from rafcon.utils import log
from rafcontpp.control.planning_controller import PlanningController
from rafcontpp.logic.domain_generator import DomainGenerator
from rafcontpp.logic.mapper im... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/control/execution_controller.py | 0.523908 | 0.190611 | execution_controller.py | pypi |
# Don't connect with the Copyright comment above!
# Version 19.07.2019
import os
from threading import Thread
import rafcon.gui.singleton as gui_singletons
from rafcon.core.states.hierarchy_state import HierarchyState
from rafcon.gui.singleton import state_machine_manager_model
from rafcon.utils import log
from raf... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/control/planning_setup_form_controller.py | 0.604749 | 0.221624 | planning_setup_form_controller.py | pypi |
# Don't connect with the Copyright comment above!
# Version 14.06.2019
class TypeTree:
""" A class that helps to create a pddl-type-tree
TypeTree is a datastructure that helps to create a pddl-type-tree out of
a type databse containing type:parent entries.
although it is a type tree, it has no advant... | /rafcon-task-planner-plugin-1.5.2.tar.gz/rafcon-task-planner-plugin-1.5.2/source/rafcontpp/model/type_tree.py | 0.795857 | 0.417865 | type_tree.py | pypi |
from collections.abc import MutableMapping
def brush_stroke(string, matches, brush):
'''Apply color to matching words in string'''
for match in matches:
replacement = '%s%s%s' % (brush['open_color_tag'], match, brush['close_color_tag'])
string = string.replace(match, replacement)
return ... | /raffaello-4.0.1.tar.gz/raffaello-4.0.1/src/paint.py | 0.821939 | 0.244543 | paint.py | pypi |
import matplotlib.pyplot as plt
import sys
from numpy.polynomial import Polynomial as P
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
from rafComputing.ML.CustomSettings.settings import AUTO_DRIVER_DEFAULT_OUTPUT_NAME
from rafComputing.ML.features.feature_ty... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/MLAutoDriver.py | 0.616936 | 0.540136 | MLAutoDriver.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
import sys
from numpy.polynomial import Polynomial as P
from sklearn.metrics import mean_squared_error, r2_score
from rafComputing.ML.CustomSettings.settings import (
MAX_ITER,
ALPHA,
DEFAULT_ITER_INCREASE_STEPS_LOG,
DEFAULT_ITER_INCREASE_STEPS,
DE... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/MLdriver.py | 0.613005 | 0.511107 | MLdriver.py | pypi |
import numpy as np
from sklearn.model_selection import train_test_split
from rafComputing.ML.features.feature_transformation import extract_features
from rafComputing.ML.features.feature_types import POLYNOMIAL_FEATURE_TYPE
from rafComputing.ML.helpers.generate_larger_evaluation_set import generate_larger_evaluation_s... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/helpers/load_data.py | 0.822759 | 0.626938 | load_data.py | pypi |
import matplotlib.pyplot as plt
import sys
from sklearn.metrics import mean_squared_error, r2_score
from rafComputing.ML.CustomSettings.settings import (
MAX_ITER,
ALPHA,
MAX_ITER_LinearRegressionTraining,
ALPHA_LinearRegressionTraining,
AUTO_DRIVER_DEFAULT_OUTPUT_NAME,
)
from rafComputing.ML.Regre... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/snippets/MLdriver_more_graphs_prediction.py | 0.578805 | 0.562537 | MLdriver_more_graphs_prediction.py | pypi |
import matplotlib.pyplot as plt
import sys
from sklearn.metrics import mean_squared_error, r2_score
from rafComputing.ML.CustomSettings.settings import (
MAX_ITER,
ALPHA,
MAX_ITER_LinearRegressionTraining,
ALPHA_LinearRegressionTraining,
AUTO_DRIVER_DEFAULT_OUTPUT_NAME,
)
from rafComputing.ML.Regre... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/snippets/MLdriver_more_graphs.py | 0.567937 | 0.658733 | MLdriver_more_graphs.py | pypi |
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error, r2_score
from rafComputing.ML.CustomSettings.settings import (
MAX_ITER_LinearRegressionTraining,
ALPHA_LinearRegressionTraining,
AUTO_DRIVER_DEFAULT_OUTPUT_NAME,
)
from rafComputing.ML.RegressionEngine.LinearRegressionGD impor... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/snippets/demo/strassen/CustomStrassenLinearRegressionTrainingMoreGraphsPrediction.py | 0.766119 | 0.649078 | CustomStrassenLinearRegressionTrainingMoreGraphsPrediction.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
import sys
from rafComputing.ML.CustomSettings.settings import (
MAX_ITER,
DEFAULT_ITER_INCREASE_STEPS_LOG,
DEFAULT_ITER_INCREASE_STEPS,
DEFAULT_RANGE_,
MAX_ITER_LinearRegressionTraining,
ALPHA_LinearRegressionTraining,
OUTPUT_PREFIX,
O... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/snippets/demo/strassen/MLdriver_n3_memory.py | 0.515864 | 0.433142 | MLdriver_n3_memory.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
import sys
from rafComputing.ML.CustomSettings.settings import (
MAX_ITER,
DEFAULT_ITER_INCREASE_STEPS_LOG,
DEFAULT_ITER_INCREASE_STEPS,
DEFAULT_RANGE_,
MAX_ITER_LinearRegressionTraining,
ALPHA_LinearRegressionTraining,
OUTPUT_PREFIX,
O... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/rafComputing/ML/snippets/demo/strassen/MLdriver_strassen_memory.py | 0.509764 | 0.435962 | MLdriver_strassen_memory.py | pypi |
from WebMonitoring.API.resources.last_seven_entries_metrics import (
get_last_seven_entries_size, )
def get_results_resource_get_size(mysql, resource_name):
result_args_get_size = []
result_args_old_get_size = []
list_sample = []
try:
conn = mysql.connect()
cursor = conn.cursor()
... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/resources/size_metrics.py | 0.402627 | 0.166777 | size_metrics.py | pypi |
from WebMonitoring.API.constants import PERIOD, BYTES_TO_KBYTES
from WebMonitoring.API.resources.helpers import get_timestamp_query
def resources_get_samples_size_daily(mysql, resource_name):
try:
conn = mysql.connect()
cursor = conn.cursor()
"""
Compatibility warning: PEP-249 spec... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/resources/samples_size_resource.py | 0.495361 | 0.253907 | samples_size_resource.py | pypi |
from WebMonitoring.API.resources.last_seven_entries_metrics import (
get_last_seven_entries_time, )
def get_results_resource_get_time(mysql, resource_name):
result_args_get_time = []
result_args_old_get_time = []
list_sample = []
try:
conn = mysql.connect()
cursor = conn.cursor()
... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/resources/time_metrics.py | 0.406155 | 0.161089 | time_metrics.py | pypi |
from WebMonitoring.API.constants import PERIOD
from WebMonitoring.API.resources.helpers import get_timestamp_query
def resources_get_samples_time_daily(mysql, resource_name):
try:
conn = mysql.connect()
cursor = conn.cursor()
"""
Compatibility warning: PEP-249 specifies that any mo... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/resources/samples_time_resource.py | 0.47317 | 0.26541 | samples_time_resource.py | pypi |
from WebMonitoring.API.resources.numerical_helpers import lt_w_none, get_percent_w_none
def render_dict(
result_args_get,
result_args_old_get,
list_sample,
product_name,
color,
roundDecimal=2,
):
return {
"product": product_name,
"total": {
"monthly": round(res... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/resources/metrics_renderer.py | 0.594316 | 0.22414 | metrics_renderer.py | pypi |
from WebMonitoring.API.constants import PERIOD, BYTES_TO_MBYTES
from WebMonitoring.API.resources.helpers import get_timestamp_query
def websites_get_samples_size_daily(mysql, resource_name):
try:
conn = mysql.connect()
cursor = conn.cursor()
"""
Compatibility warning: PEP-249 speci... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/websites/samples_size_websites.py | 0.462959 | 0.283013 | samples_size_websites.py | pypi |
from WebMonitoring.API.constants import PERIOD
from WebMonitoring.API.resources.helpers import get_timestamp_query
def websites_get_samples_time_daily(mysql, resource_name):
try:
conn = mysql.connect()
cursor = conn.cursor()
"""
Compatibility warning: PEP-249 specifies that any mod... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/WebMonitoring/API/websites/samples_time_websites.py | 0.460289 | 0.270151 | samples_time_websites.py | pypi |
__author__ = ["[Brandon Amos](http://bamos.github.io)"]
__date__ = "2014.02.14"
"""
`rank-writing.py` ranks the writing quality of my
blog's Markdown posts and my project's Markdown README files.
The following programs should be on your `PATH`:
+ [aspell](http://aspell.net/)
+ [write-good](https://github.com/btford/wr... | /rafmetrics-0.0.3.tar.gz/rafmetrics-0.0.3/tools/rank_writing/rank_writing.py | 0.640973 | 0.737678 | rank_writing.py | pypi |
"""Program build utilities."""
from ._ffi import build_info
def git_version():
"""Current git version."""
return build_info.git_version()
def with_cuda():
"""Whether build with CUDA. if true, return the CUDA version, or None otherwise."""
if build_info.use_cuda():
return build_info.cuda_ver... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/build.py | 0.852782 | 0.247918 | build.py | pypi |
# Acknowledgement: The main logic originates from TVM
# pylint: disable=missing-function-docstring,invalid-name,undefined-variable
"""Compute definitions and schedules for operator argwhere"""
from .._lib import tvm as _tvm
from .._lib import _reg, _op
_topi = _tvm.topi # pylint: disable=no-member
_te = _tvm.te # ... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_tvm_op/argwhere.py | 0.793346 | 0.599251 | argwhere.py | pypi |
# pylint: disable=missing-function-docstring, undefined-loop-variable, unused-argument, invalid-name
"""Compute definition and schedules for data transform operators"""
import numpy as np
from raf._tvm_op.nn import schedule_generic
from .._lib import register_compute
from .._lib import strategy
from .._lib import tvm... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_tvm_op/transform.py | 0.619586 | 0.342791 | transform.py | pypi |
# pylint: disable=missing-function-docstring
"""Compute definition and schedules for loss functions."""
from .._lib import register_compute
from .._lib import tvm as _tvm
from .._lib import _reg
_topi = _tvm.topi # pylint: disable=invalid-name,no-member
@register_compute("raf.op.tvm.smooth_l1_loss")
def smooth_l1_... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_tvm_op/loss.py | 0.66061 | 0.344003 | loss.py | pypi |
"""Utilities for processing TVM ops."""
# pylint: disable=protected-access
import os
from threading import Thread
import numpy as np
import tvm
from raf import distributed as dist
@tvm._ffi.register_func("raf._tvm_op.utils.export_library")
def export_library(mod, path):
"""Export a built TVM runtime module to... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_tvm_op/utils.py | 0.880373 | 0.59249 | utils.py | pypi |
# pylint: disable=missing-function-docstring, unused-argument
"""Schedule registries for unary operators."""
import math
from .._lib import register_compute
from .._lib import tvm as _tvm
from .._lib import _reg
_reg.register_broadcast_schedule("raf.op.tvm.copy")
_reg.register_broadcast_schedule("raf.op.tvm.ceil")
_... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_tvm_op/unary.py | 0.664431 | 0.413536 | unary.py | pypi |
# pylint: disable=too-many-locals, invalid-name, no-member
"""Schedule for some injective operators, based on 3rdparty/tvm/python/tvm/topi/cuda/reduction.py"""
import tvm
from tvm import te
import tvm.topi.utils as utils
def schedule_injective_from_existing(sch, out):
"""Schedule for injective op from existing s... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_tvm_op/cuda/injective.py | 0.800497 | 0.370652 | injective.py | pypi |
# pylint: disable=missing-class-docstring,missing-function-docstring
"""Runtime value instances."""
from raf._core.core_utils import dev2str, register_node, str2dev
from raf._ffi import value as ffi
from raf._ffi.ir._make import Constant as make_const_expr
from raf._ffi.value import _make, ToTVM
from raf._lib import O... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_core/value.py | 0.636127 | 0.331498 | value.py | pypi |
# pylint: disable=missing-class-docstring,missing-function-docstring
"""Multi-dimension array representation"""
import ctypes
from raf._core.core_utils import dev2str, set_module, str2dev
from raf._core.value import TensorValue
from raf._ffi.binding import (
BindNDArray,
BindSymbol,
RebindNDArray,
Loo... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_core/ndarray.py | 0.843509 | 0.252096 | ndarray.py | pypi |
"""Device."""
import re
from .core_utils import register_node, DEVICE_TYPE_MAP
from .._lib import Object
from .._ffi import device as ffi
@register_node("raf.device.Device")
class Device(Object):
"""Construct a Device object.
Parameters
----------
device_str: str
The device string such as "... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_core/device.py | 0.830937 | 0.236483 | device.py | pypi |
# pylint: disable=missing-class-docstring,missing-function-docstring
"""Utilities for core components."""
import inspect
import functools
from collections import deque, OrderedDict
from raf._lib import tvm
from raf._lib import _DLDevice
from raf._lib import _NodeBase as NodeBase # pylint: disable=unused-import
from ... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_core/core_utils.py | 0.715325 | 0.20351 | core_utils.py | pypi |
"""RAF executor."""
# pylint: disable=no-else-return,unidiomatic-typecheck,undefined-variable,invalid-name
# pylint: disable=protected-access
import os
import tvm
from tvm import auto_scheduler, autotvm
from tvm.auto_scheduler.dispatcher import ApplyHistoryBest
from .. import _ffi
from . import vm
from .device import ... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_core/executor.py | 0.885235 | 0.301006 | executor.py | pypi |
# pylint: disable=missing-module-docstring,missing-function-docstring
from numbers import Number
import numpy as np
from raf._core.ndarray import ndarray
from raf._core.value import BoolValue, FloatValue, IntValue, StringValue, TensorValue, Value
from raf._lib import Array, relay
def to_any(a):
if isinstance(a... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_op/imp_utils.py | 0.406744 | 0.339499 | imp_utils.py | pypi |
"""Define dialect fusion patterns."""
from .dialect import register_pattern
from ..ir.dataflow_pattern import is_op, wildcard, is_constant, has_dtype, has_shape
from .._core.value import StringValue, IntValue
MATMUL_OPS = [
"raf.op.dense",
"raf.op.matmul",
"raf.op.matmul_nt",
"raf.op.matmul_tn",
"... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_op/dialect_pattern.py | 0.873431 | 0.578448 | dialect_pattern.py | pypi |
# pylint: disable=missing-function-docstring
"""Symbolic API utilities"""
from numbers import Number
import numpy as np
from raf._core.ndarray import Symbol, ndarray
from raf._core.value import TensorValue, Value
def to_any(a):
if isinstance(a, Symbol):
return a._Symbol__handle # pylint: disable=prote... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/_op/sym_utils.py | 0.652574 | 0.342379 | sym_utils.py | pypi |
# pylint: disable=missing-function-docstring
"""Graph IR builder utilities for ops"""
from numbers import Number
from raf._lib import relay
from .constant import const
def to_any(a):
if isinstance(a, relay.Expr):
return a
if a is None:
return const(None)
if isinstance(a, (Number, str))... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/ir/op_utils.py | 0.642096 | 0.303435 | op_utils.py | pypi |
# pylint: disable=protected-access,too-many-return-statements,too-many-branches
"""Utils to create constant expr."""
import numpy as _np
from raf._core import ndarray as _nd
from raf._core import value as _value
from raf._ffi.ir._make import Constant
def to_value(value, dtype=None):
"""Convert to value.
Pa... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/ir/constant.py | 0.904539 | 0.346624 | constant.py | pypi |
"""Traced Optimizers"""
from raf.frontend.model import _get_func_output_var
from raf.ir import RAFSequential
from .. import distributed as dist
from .._core.ndarray import Symbol, get_symbol_handle
from .._core.value import NoGradValue, Value
from .._core.ir_ext import ExtendedVar
from ..model.trace import _get_func_i... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/optim/optim.py | 0.666062 | 0.241076 | optim.py | pypi |
# pylint: disable=invalid-name, missing-function-docstring, too-many-instance-attributes, too-many-locals, too-many-statements, protected-access, too-many-arguments, too-many-branches
"""LANS optimizer."""
import numpy as np
from raf._core.core_utils import get_chained_attr
from raf._core.ndarray import array, ndarra... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/optim/lans.py | 0.88607 | 0.402862 | lans.py | pypi |
"""SGD optimizer."""
# pylint: disable=too-many-statements,too-many-instance-attributes
import numpy as np
from raf._core.core_utils import get_chained_attr
from raf._core.ndarray import ndarray, array
from raf.model import trace, Model, trace_mutate_attr
from raf.model.trace import _get_func_inputs
from raf._op impo... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/optim/sgd.py | 0.894404 | 0.326781 | sgd.py | pypi |
# pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
# pylint: disable=no-self-use
import ast
from contextlib import contextmanager
from inspect import isfunction
from numbers import Number
from typing import Callable, Dict
from raf._core.value import Value
from raf._lib impor... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/hybrid/ir_builder.py | 0.666931 | 0.316528 | ir_builder.py | pypi |
# pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
# pylint: disable=protected-access, too-many-locals
import ast
import inspect
from typing import Callable, Dict, List
from raf._lib import relay
from raf._core.core_utils import get_func_name
from .cfg import CFG, BasicBloc... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/hybrid/to_relay.py | 0.746231 | 0.233843 | to_relay.py | pypi |
# pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import ast
from collections import defaultdict
from typing import Dict, List, Tuple, Union
from .hybrid_utils import NodeVisitor, unbound_constant_expr
# Tuple[()] : Return
# Tuple[ast.AST]: unconditional jump
# Tuple[ast.A... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/hybrid/cfg.py | 0.785391 | 0.226848 | cfg.py | pypi |
"""The frontend that converts PyTorch models to RAF models via Relay."""
# pylint: disable=too-many-locals
from collections import OrderedDict
import os
import hashlib
import torch
from raf import distributed as dist
from .._core.ndarray import ndarray
from .._lib import relay
from .._ffi.pass_ import FromRelay, Swit... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/frontend/pytorch.py | 0.918535 | 0.384652 | pytorch.py | pypi |
"""Model that wraps the IR converted from deep learning frameworks."""
# pylint: disable=protected-access, attribute-defined-outside-init
from tvm import relay
from raf._ffi.model import RunModel
from raf.model.model import BaseModel
from raf.model.trace import _unwrap, _TraceRecord
from raf._core.ir_ext import exten... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/frontend/model.py | 0.896756 | 0.183155 | model.py | pypi |
# pylint: disable=line-too-long
"""Operator-specific type hints for automatic mixed precision.
The type hint function for each operator should return a list of type hints,
and the list size should be the same as the argument number.
Here are some type hint examples:
- PrimType("float32"): The argument must be in flo... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/amp/type_hints.py | 0.799912 | 0.554169 | type_hints.py | pypi |
# pylint: disable=too-many-locals, too-many-arguments, protected-access
# pylint: disable=missing-class-docstring, missing-function-docstring, no-self-use
# pylint: disable=attribute-defined-outside-init
import os
from copy import copy
import tvm
import raf
from raf._core.executor import MetaFallbackContext
from raf.... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/utils/tuner.py | 0.756088 | 0.304677 | tuner.py | pypi |
"""Runtime profiler"""
import json
from raf import build
from raf._ffi.profiler import EnableProfiler, DisableProfiler
from raf._ffi.profiler import CollectBaseProfile, CollectCudaProfile, GetProfile
def start(prof_level=1):
"""Enable the profiler in backend and start to profile the execution from now.
Para... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/utils/profiler.py | 0.856632 | 0.248454 | profiler.py | pypi |
# pylint: disable=protected-access, invalid-name
"""Collective communication operators"""
from .._op import sym
from .communicator import get_communicator
def allreduce(x, computation="sum", rank_list=None):
"""General allreduce operators, take tensor or list of tensors as input."""
if not isinstance(x, (tup... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/distributed/op.py | 0.929967 | 0.502747 | op.py | pypi |
# pylint: disable=missing-function-docstring,too-many-arguments
"""NN-specific random initializers."""
import math
import numpy as np
from .np import normal, uniform
def _calc_fan_in_out(shape):
ndim = len(shape)
if ndim < 2:
raise ValueError("Please provide shape with at least 2 dims")
if ndim... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/random/nn.py | 0.7011 | 0.386156 | nn.py | pypi |
# pylint: disable=missing-module-docstring,missing-function-docstring, protected-access
import functools
import sys
from collections import OrderedDict, namedtuple
from raf._core import cacher
from raf._core.core_utils import get_bound_args, get_func_name
from raf._core.global_scope import SCOPE
from raf._core.module... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/model/trace.py | 0.405566 | 0.205376 | trace.py | pypi |
# pylint: disable=missing-class-docstring,missing-function-docstring,attribute-defined-outside-init
"""Neural network specific Model blocks."""
import math
import numpy as np
from raf._core.ndarray import ndarray, array
from raf._core.core_utils import get_chained_attr
from raf._op import sym
from raf.random import ... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/model/nn.py | 0.82347 | 0.200127 | nn.py | pypi |
# pylint: disable=missing-class-docstring,missing-function-docstring
"""Interactive interface for training & inference."""
from collections import OrderedDict
import re
from raf._core import cacher
from raf._core.core_utils import bfs, get_attr, get_named_attr, set_module
from raf._core.device import Device
from raf.... | /rafproject-0.2.tar.gz/rafproject-0.2/src/raf/python/raf/model/model.py | 0.802013 | 0.200519 | model.py | pypi |
from typing import Callable, Union
from math import cos, floor, pi
from random import random
from PIL import Image, ImageColor, ImageDraw
Color = tuple[int, int, int]
Gradient = dict[float, Color]
def clamp(val: float) -> int:
"""Clamp a number to that expected by a reasonable RGB component
This ensures that... | /rafraser_theia-0.0.2-py3-none-any.whl/theia/color.py | 0.971685 | 0.737371 | color.py | pypi |
from PIL import Image, ImageFilter
from theia.color import clamp, Color
def apply_outline(im: Image, color: Color, width: int = 8, softness: int = 127) -> Image:
"""Apply an outline to an image
Args:
im (Image): Image to apply outline to. Must be in RGBA format.
color (Color): Color of the ou... | /rafraser_theia-0.0.2-py3-none-any.whl/theia/outline.py | 0.969999 | 0.624752 | outline.py | pypi |
import argparse
import os
import re
import requests
def download_icons_from_page(url: str, path: str, max_images: int = 0):
"""Download all Flaticons from a given Flaticon search URL
Args:
url (str): URL to fetch icons from
path (str): Output directory
max_images (int, optional): Maxi... | /rafraser_theia-0.0.2-py3-none-any.whl/theia/flaticon.py | 0.752468 | 0.263348 | flaticon.py | pypi |
from theia.color import Color, color_to_hex, distance_squared
from PIL import ImageColor
import json
import os
import re
import requests
# Extension to use for palette files
# Palettes are saved as unencoded plain text, one color per line
PALETTE_EXT = "txt"
ColorPalette = dict[str, Color]
def parse_palette(content... | /rafraser_theia-0.0.2-py3-none-any.whl/theia/palettes.py | 0.911833 | 0.35248 | palettes.py | pypi |
from os import listdir, path
from PIL import Image
from pathlib import Path
def images_from_path(filepath: str, input_root: str = "input") -> list[str]:
"""Get a list of image paths from a given location
Args:
filepath (str): Filepath to load image(s) from
input_root (str, optional): Extra di... | /rafraser_theia-0.0.2-py3-none-any.whl/theia/image.py | 0.867373 | 0.529507 | image.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /rafsun_dst-0.1.tar.gz/rafsun_dst-0.1/rafsun_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
import os
from raft import Collection, task
from raft.util import LOG_FORMAT
from local_convocations import travis, checks
from local_convocations.docs import docs, www, sites, watch_docs
from local_convocations.pytest import coverage as coverage_, test as test_
from local_convocations.packaging import vendorize, rel... | /raft-1.4.1.4.tar.gz/raft-1.4.1.4/tasks.py | 0.441673 | 0.347011 | tasks.py | pypi |
from __future__ import unicode_literals
from raft import task
@task(name="blacken", iterable=["folders"])
def blacken(
c, line_length=79, folders=None, check=False, diff=False, find_opts=None
):
r"""
Run black on the current source tree (all ``.py`` files).
.. warning::
``black`` only runs o... | /raft-1.4.1.4.tar.gz/raft-1.4.1.4/local_convocations/checks.py | 0.827445 | 0.274088 | checks.py | pypi |
from contextlib import contextmanager
from typing import (
Any,
Dict,
Optional,
TextIO,
)
import colorama
@contextmanager
def disable_colorama():
import sys
colorama.deinit()
try:
yield
finally:
if sys.stdout:
sys.stdout.flush()
if sys.stderr:
... | /raga_cli-0.1.70-py3-none-any.whl/rc/ui/__init__.py | 0.436382 | 0.173954 | __init__.py | pypi |
import logging
import os
import re
from typing import Dict, List
from rc.utils.run_cli_cmd import *
import socket
import colorama
logger = logging.getLogger(__name__)
def colorize(message, color=None, style=None):
"""Returns a message in a specified color."""
if not color:
return message
styles... | /raga_cli-0.1.70-py3-none-any.whl/rc/utils/__init__.py | 0.810966 | 0.166269 | __init__.py | pypi |
<h1 align="center">
<img style="vertical-align:middle" height="200"
src="./docs/assets/logo.png">
</h1>
<p align="center">
<i>Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines</i>
</p>
<p align="center">
<a href="https://github.com/explodinggradients/ragas/releases">
<img a... | /ragas-0.0.11.tar.gz/ragas-0.0.11/README.md | 0.636127 | 0.923385 | README.md | pypi |
```
# only run this if your have an editable install
%load_ext autoreload
%autoreload 2
```
the dataset has 2 modes
- fullwiki - here the model is required to generate answer give the first paragraphs of all the wikipedia articles
- distractor - here the context as a mix of 8 missleading paragraphs and 2 golden paragr... | /ragas-0.0.11.tar.gz/ragas-0.0.11/experiments/baselines/hotpotqa/explore-dataset.ipynb | 0.417746 | 0.567337 | explore-dataset.ipynb | pypi |
```
# only run this if your have an editable install
%load_ext autoreload
%autoreload 2
from datasets import load_dataset
fiqa_test = load_dataset("explodinggradients/fiqa", "main", split="test")
fiqa_test
```
## k=1, chunk_size=300
We know the performance of the baseline model so lets try and see if we can make imp... | /ragas-0.0.11.tar.gz/ragas-0.0.11/experiments/baselines/fiqa/improving-baselines.ipynb | 0.538255 | 0.622 | improving-baselines.ipynb | pypi |
```
# only run this if your have an editable install
%load_ext autoreload
%autoreload 2
from datasets import load_dataset, concatenate_datasets
DATASET_URL = "wiki_qa"
SPLIT = "test"
ds = load_dataset(DATASET_URL, split=SPLIT)
ds
```
### Download the wikipedia pages
```
import wikipedia as wiki
wiki_doc_titles = s... | /ragas-0.0.11.tar.gz/ragas-0.0.11/experiments/baselines/wikiqa/dataset-exploration-and-baseline.ipynb | 0.47244 | 0.597667 | dataset-exploration-and-baseline.ipynb | pypi |
import os
from typing import Dict, Union, Text, Optional, Tuple
import jwt
from jwt import InvalidSignatureError
import rasa.cli.utils as rasa_cli_utils
import rasa.core.constants as rasa_core_constants
import rasa.core.utils as rasa_core_utils
from ragex.community import constants, config
from ragex.community.utils ... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/jwt.py | 0.856152 | 0.292997 | jwt.py | pypi |
import json
import os
from typing import Dict, Text, Any, Optional
import sqlalchemy as sa
from ragex.community import config
from sqlalchemy import Column
from sqlalchemy.orm import relationship, deferred
from rasa.constants import DEFAULT_DATA_PATH
from ragex.community.database import utils
from ragex.community.dat... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/data.py | 0.803598 | 0.226163 | data.py | pypi |
import json
from typing import Any, Text, Dict, Union
import sqlalchemy as sa
from sqlalchemy.orm import relationship
from ragex.community.database import utils
from ragex.community.database.base import Base
# Table for many-to-many relationship between users and roles.
user_role_mapping = sa.Table(
"user_role_m... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/admin.py | 0.750187 | 0.187281 | admin.py | pypi |
import json
import time
from typing import Any, Text, Dict, Optional, List, Union
import sqlalchemy as sa
from sqlalchemy.orm import relationship
from ragex.community.database.base import Base
class ConversationStatistic(Base):
"""Stores statistics about every user conversation."""
__tablename__ = "convers... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/analytics.py | 0.818628 | 0.180757 | analytics.py | pypi |
import json
from collections import defaultdict
from typing import Any, Text, Dict, Union
import sqlalchemy as sa
from sqlalchemy.orm import relationship
from rasa.core.domain import (
Domain as RasaDomain,
SESSION_CONFIG_KEY,
SESSION_EXPIRATION_TIME_KEY,
CARRY_OVER_SLOTS_KEY,
)
from ragex.community.d... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/domain.py | 0.724188 | 0.165694 | domain.py | pypi |
import json
from typing import Dict, Any, Text
import sqlalchemy as sa
from sqlalchemy.orm import relationship
from ragex.community.constants import DEFAULT_RASA_ENVIRONMENT
from ragex.community.database.base import Base
from ragex.community.database import utils
class Conversation(Base):
"""Stores the user's c... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/conversation.py | 0.697506 | 0.223568 | conversation.py | pypi |
from typing import Dict, Text, Any
import sqlalchemy as sa
from sqlalchemy.orm import relationship
from ragex.community.database.base import Base
from ragex.community.database import utils
class Intent(Base):
"""Stores the intents (currently only temporary ones)."""
__tablename__ = "intent"
id = sa.Co... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/intent.py | 0.71602 | 0.238961 | intent.py | pypi |
from typing import Any, Text, Dict, Union
import sqlalchemy as sa
from sqlalchemy.orm import relationship
from ragex.community.database.base import Base
from ragex.community.database import utils
class Model(Base):
"""Stores metadata about trained models."""
__tablename__ = "model"
id = sa.Column(sa.I... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/model.py | 0.854065 | 0.258665 | model.py | pypi |
from alembic import op
import sqlalchemy as sa
import logging
from typing import Dict, Text, Union, List
import ragex.community.database.schema_migrations.alembic.utils as migration_utils
logger = logging.getLogger(__name__)
# revision identifiers, used by Alembic.
revision = "4daabca814ee"
down_revision = "6fce967... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/database/schema_migrations/alembic/versions/migration_2019_08_26_oracle_migrations_4daabca814ee.py | 0.424412 | 0.209874 | migration_2019_08_26_oracle_migrations_4daabca814ee.py | pypi |
json_schema = {
"login": {
"type": "object",
"required": ["username", "password"],
"properties": {"username": {"type": "string"}, "password": {"type": "string"}},
},
"change_password": {
"type": "object",
"required": [
"username",
"old_password... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/api/__init__.py | 0.400749 | 0.421433 | __init__.py | pypi |
import json
import logging
import uuid
from typing import Text, Optional, List, Dict, Any, Union, Tuple
import math
import time
from sqlalchemy import func, false, distinct, Integer, cast, and_, Float
from sqlalchemy.util import KeyedTuple
from rasa.core.events import Restarted, UserUttered, BotUttered
from ragex.com... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/analytics_service.py | 0.855972 | 0.194674 | analytics_service.py | pypi |
import itertools
import json
import logging
import time
from typing import Text, List, Dict, Any, Optional, Tuple, Set
from sqlalchemy import or_, and_, true, false
from ragex.community import config
from ragex.community.database.data import Template
from ragex.community.database.service import DbService
from ragex.c... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/nlg_service.py | 0.821259 | 0.374876 | nlg_service.py | pypi |
import logging
from typing import Text, Dict, Union, List, Optional
from ragex.community import config, metrics
from ragex.community.database.admin import PlatformFeature
from ragex.community.database.service import DbService
logger = logging.getLogger(__name__)
class FeatureService(DbService):
def set_feature(... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/feature_service.py | 0.76145 | 0.154026 | feature_service.py | pypi |
import logging
import time
from typing import Text, Dict, Any, Optional, List
from sqlalchemy.orm import Session
from ragex.community import config
from ragex.community.database.model import NluEvaluation, NluEvaluationPrediction, Model
from ragex.community.database.service import DbService
from ragex.community.serv... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/evaluation_service.py | 0.786008 | 0.215867 | evaluation_service.py | pypi |
import uuid
import json
import os
import logging
from typing import Text, Tuple, Dict, List, Any, Optional, Union, Type
from ragex.community.database.service import DbService
from ragex.community.database.admin import ConfigValue
from ragex.community import config
logger = logging.getLogger(__name__)
class ConfigKe... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/config_service.py | 0.834002 | 0.274048 | config_service.py | pypi |
import copy
import logging
import time
from typing import Any, Text, Dict, List, Optional, Tuple, Set, Union
import re
import typing
from sqlalchemy import and_, or_
from rasa.core.actions.action import default_action_names
from rasa.core.events import ActionExecuted, UserUttered, SlotSet
from rasa.core.interpreter ... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/story_service.py | 0.754101 | 0.219526 | story_service.py | pypi |
import logging
from typing import Text, Dict, List, Union, Optional
from sqlalchemy import and_
from ragex.community.database.intent import UserGoal, UserGoalIntent
from ragex.community.database.service import DbService
logger = logging.getLogger(__name__)
GOAL_NAME_KEY = "name"
GOAL_INTENTS_KEY = "intents"
class... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/user_goal_service.py | 0.847195 | 0.257771 | user_goal_service.py | pypi |
import logging
import typing
from typing import Text, List, Optional, Union, Dict
import time
import ragex.community.config as rasa_x_config
from rasa.utils import endpoints
from ragex.community.services.event_consumers.event_consumer import EventConsumer
if typing.TYPE_CHECKING:
from kafka.structs import TopicP... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/event_consumers/kafka_consumer.py | 0.882409 | 0.164819 | kafka_consumer.py | pypi |
import logging
import typing
from rasa.utils import endpoints
if typing.TYPE_CHECKING:
from ragex.community.services.event_consumers.event_consumer import EventConsumer
logger = logging.getLogger(__name__)
def from_endpoint_config(
broker_config: endpoints.EndpointConfig, should_run_liveness_endpoint: bool... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/event_consumers/utils.py | 0.757974 | 0.172207 | utils.py | pypi |
import json
import logging
import os
import typing
from contextlib import ExitStack
from typing import Text, Optional, Union
from sanic.response import HTTPResponse
from ragex.community import utils
from ragex.community.database.utils import session_scope
from ragex.community.services.analytics_service import Analyti... | /rage_ts-0.4.18-py3-none-any.whl/ragex/community/services/event_consumers/event_consumer.py | 0.869894 | 0.16388 | event_consumer.py | pypi |
from typing import Any, Generic, List, Protocol, Type, TypeVar, Union, cast, overload
from numpy.typing import NDArray
import numpy as np
from .ragged_buffer import (
RaggedBufferF32,
RaggedBufferI64,
RaggedBufferBool,
translate_rotate,
)
ScalarType = TypeVar("ScalarType", bound=np.generic)
class Ra... | /ragged_buffer-0.4.8-cp37-cp37m-macosx_10_7_x86_64.whl/ragged_buffer/__init__.py | 0.838481 | 0.382199 | __init__.py | pypi |
# Ragger
[](https://codecov.io/gh/LedgerHQ/ragger)
[](https://sonarcloud.io/summary/new_code?id=LedgerHQ_ragger)
[![CodeQL]... | /ragger-1.11.4.tar.gz/ragger-1.11.4/README.md | 0.571886 | 0.854278 | README.md | pypi |
.. _Rationale:
===========
Rationale
===========
Testing, easily manipulating a Ledger :term:`application` is hard. Although
:term:`Speculos` strongly eases it, it cannot always replace IRL tests on
physical devices.
There are libraries allowing to communicate with a physical device. However,
it would be very conve... | /ragger-1.11.4.tar.gz/ragger-1.11.4/doc/rationale.rst | 0.954806 | 0.790004 | rationale.rst | pypi |
from collections import namedtuple, defaultdict
AlignmentInfo = namedtuple("AlignmentInfo", ["s_ref", "e_ref", "s_qry", "e_qry",
"len_ref", "len_qry", "ref_id", "contig_id"])
class Hit:
def __init__(self, index, chr, coord, sign):
self.index = index
self.chr = chr
... | /ragout-0.2b.tar.gz/ragout-0.2b/scripts/utils/nucmer_parser.py | 0.550366 | 0.201145 | nucmer_parser.py | pypi |
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