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 |
|---|---|---|---|---|---|
import re # noqa: F401
import sys # noqa: F401
from rockset.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
valida... | /rockset-v2-alpha-0.1.13.tar.gz/rockset-v2-alpha-0.1.13/rockset/model/query_response.py | 0.621196 | 0.153899 | query_response.py | pypi |
import datetime
import geojson
# all Rockset data types
DATATYPE_META = "__rockset_type"
DATATYPE_INT = "int"
DATATYPE_FLOAT = "float"
DATATYPE_BOOL = "bool"
DATATYPE_STRING = "string"
DATATYPE_BYTES = "bytes"
DATATYPE_NULL = "null"
DATATYPE_NULL_TYPE = "null_type"
DATATYPE_ARRAY = "array"
DATATYPE_OBJECT = "object"
D... | /rockset_v2_internal-2.0.4-py3-none-any.whl/rockset/document.py | 0.486819 | 0.234955 | document.py | pypi |
class RocksetException(Exception):
"""The base exception class for all RocksetExceptions"""
class ApiTypeError(RocksetException, TypeError):
def __init__(self, msg, path_to_item=None, valid_classes=None,
key_type=None):
""" Raises an exception for TypeErrors
Args:
... | /rockset_v2_internal-2.0.4-py3-none-any.whl/rockset/exceptions.py | 0.798854 | 0.307709 | exceptions.py | pypi |
import re # noqa: F401
import sys # noqa: F401
import typing # noqa: F401
import asyncio
from rockset.api_client import ApiClient, Endpoint as _Endpoint
from rockset.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
validat... | /rockset_v2_internal-2.0.4-py3-none-any.whl/rockset/api/organizations_api.py | 0.460046 | 0.204759 | organizations_api.py | pypi |
import re # noqa: F401
import sys # noqa: F401
from rockset.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
valida... | /rockset_v2_internal-2.0.4-py3-none-any.whl/rockset/model/query_response.py | 0.621196 | 0.153899 | query_response.py | pypi |
import datetime
import geojson
# all Rockset data types
DATATYPE_META = "__rockset_type"
DATATYPE_INT = "int"
DATATYPE_FLOAT = "float"
DATATYPE_BOOL = "bool"
DATATYPE_STRING = "string"
DATATYPE_BYTES = "bytes"
DATATYPE_NULL = "null"
DATATYPE_NULL_TYPE = "null_type"
DATATYPE_ARRAY = "array"
DATATYPE_OBJECT = "object"
D... | /rockset_v2-2.0.2.tar.gz/rockset_v2-2.0.2/rockset_v2/document.py | 0.486819 | 0.234955 | document.py | pypi |
class RocksetException(Exception):
"""The base exception class for all RocksetExceptions"""
class ApiTypeError(RocksetException, TypeError):
def __init__(self, msg, path_to_item=None, valid_classes=None,
key_type=None):
""" Raises an exception for TypeErrors
Args:
... | /rockset_v2-2.0.2.tar.gz/rockset_v2-2.0.2/rockset_v2/exceptions.py | 0.798854 | 0.307709 | exceptions.py | pypi |
import re # noqa: F401
import sys # noqa: F401
import typing # noqa: F401
import asyncio
from rockset_v2.api_client import ApiClient, Endpoint as _Endpoint
from rockset_v2.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
v... | /rockset_v2-2.0.2.tar.gz/rockset_v2-2.0.2/rockset_v2/api/workspaces_api.py | 0.506103 | 0.176317 | workspaces_api.py | pypi |
import re # noqa: F401
import sys # noqa: F401
import typing # noqa: F401
import asyncio
from rockset_v2.api_client import ApiClient, Endpoint as _Endpoint
from rockset_v2.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
v... | /rockset_v2-2.0.2.tar.gz/rockset_v2-2.0.2/rockset_v2/api/organizations_api.py | 0.431944 | 0.211234 | organizations_api.py | pypi |
class MOD:
def __init__(self, agent):
from base import bcolors
self.bcolors = bcolors
self.agent = agent
def scan ( self, results):
import os
import re
# Find additional modules to CMS systems
i = 0
self.agent.fb(1, 'Scanning modules')
... | /rocksolid-agent-1.0.17.tar.gz/rocksolid-agent-1.0.17/rocksolid_agent/libs/mod.py | 0.52683 | 0.217109 | mod.py | pypi |
# rockstar-py
<h2 align="center">Python transpiler for the esoteric language <a href="https://github.com/dylanbeattie/rockstar">Rockstar</a></h2>
<p align="center">
<a href="https://travis-ci.com/yyyyyyyan/rockstar-py"><img alt="Travis (.org)" src="https://img.shields.io/travis/yyyyyyyan/rockstar-py"></a>
<a href="ht... | /rockstar-py-2.1.0.tar.gz/rockstar-py-2.1.0/README.md | 0.658857 | 0.724846 | README.md | pypi |
import re
class Transpiler(object):
SIMPLE_VARIABLE_FMT = r"\b[A-Za-z]+\b"
COMMON_VARIABLE_FMT = r"\b(?:[Aa]n?|[Tt]he|[Mm]y|[Yy]our) [a-z]+\b"
PROPER_VARIABLE_FMT = r"\b[A-Z][A-Za-z]*(?: [A-Z][A-Za-z]*)*\b"
REGEX_VARIABLES = r"(?:{}|{}|{})".format(COMMON_VARIABLE_FMT, PROPER_VARIABLE_FMT, SIMPLE_VARIA... | /rockstar-py-2.1.0.tar.gz/rockstar-py-2.1.0/rockstarpy/transpile.py | 0.402275 | 0.168378 | transpile.py | pypi |
from __future__ import annotations
from typing import Any, Generator, Iterable
import re
from dataclasses import dataclass
from pathlib import Path
class Formatter:
"""Formatting class for string substitution and comments parsing."""
@dataclass
class _Replacement:
loc: tuple[int, int]
... | /rocm_docs_core-0.22.0-py3-none-any.whl/rocm_docs/formatting.py | 0.940134 | 0.273103 | formatting.py | pypi |
from typing import Dict, List, Optional, Union
import os
from rocm_docs.core import setup
MaybePath = Union[str, os.PathLike, None]
# Intentionally disabling the too-many-instance-attributes check in pylint
# as this class is intended to contain all necessary Sphinx config variables
# pylint: disable=too-many-inst... | /rocm_docs_core-0.22.0-py3-none-any.whl/rocm_docs/__init__.py | 0.89036 | 0.152127 | __init__.py | pypi |
# RObot Description processor
**The ultimate Python tool for RObot Descriptions processing.**
ROD is yet another library to operate on robot descriptions based on the [SDFormat][sdformat] specification.
## Why SDFormat?
Among the many existing robot description formats, SDFormat provides a well-defined and maintain... | /rod-0.1rc1.tar.gz/rod-0.1rc1/README.md | 0.46952 | 0.872239 | README.md | pypi |
from calendar import day_abbr
from typing import Optional
from .datastorereq import Requests
import base64, hashlib, json
from .exceptions import *
from .Utils.bases import BaseDataStore
class DatabaseClient:
def __init__(self, universeId: int, token: str, ROBLOSECURITY: str, responsetype: Optional[str] = 'class')... | /rodatabase.py-2.2.1.tar.gz/rodatabase.py-2.2.1/datastore/__init__.py | 0.857007 | 0.213726 | __init__.py | pypi |
import json
from typing import Optional, List, Dict, Type
from httpx import Response
class RobloxException(Exception):
"""
Base exception.
"""
pass
class ResponseError:
"""
Represents an error returned by a Roblox game server.
Attributes:
code: The error code.
message: The... | /rodatabase.py-2.2.1.tar.gz/rodatabase.py-2.2.1/datastore/exceptions.py | 0.780997 | 0.251653 | exceptions.py | pypi |
from typing import Optional
from ..datastorereq import Requests
import base64, hashlib, json
class BaseDataStore:
def __repr__(self) -> str:
return f"<BaseDataStore {self.datastore}>"
def __init__(self, json, datastore, token, apitoken, id):
self._json = json
self.datastore = datastore... | /rodatabase.py-2.2.1.tar.gz/rodatabase.py-2.2.1/datastore/Utils/bases.py | 0.915847 | 0.358662 | bases.py | pypi |
import os
import csv
import re
from collections import OrderedDict
from Bio import SeqIO
from Bio.SeqFeature import SeqFeature, FeatureLocation
def check_if_border(feature, operon_borders):
"""Return start/end coordinate of the SeqFeature if its accession is the first/last in the given tuple.
Parameters
... | /rodeo-utils-0.0.2.tar.gz/rodeo-utils-0.0.2/rodeo_utils/rodeo2antismash.py | 0.608245 | 0.342077 | rodeo2antismash.py | pypi |
from math import log
from typing import Dict, List, Optional
from warnings import warn
import numpy as np
from sklearn.metrics import matthews_corrcoef
from .utils import centered_iou, get_center, harmonic_mean, hungarian_matching
class RoDeO:
r"""Robust Detection Outcome (RoDeO).
Computes five detection p... | /rodeometric-0.0.1.tar.gz/rodeometric-0.0.1/rodeo/rodeo.py | 0.952948 | 0.71889 | rodeo.py | pypi |
from typing import Optional, Tuple
import numpy as np
from scipy.optimize import linear_sum_assignment
def hungarian_matching(
preds: np.ndarray,
targets: np.ndarray,
shape_weight: Optional[float] = 1.0,
class_weight: Optional[float] = 1.0
) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]:
... | /rodeometric-0.0.1.tar.gz/rodeometric-0.0.1/rodeo/utils.py | 0.967724 | 0.880746 | utils.py | pypi |
from .n import Node, Param, Result
from typing import TypeVar, List, Tuple
T = TypeVar('T')
class Roeteer:
def __init__(self) -> None:
self._radix: Dict[str, Node[T]] = {}
def _get_radix(self, method: str) -> Node[T]:
if method not in self._radix:
self._radix[method] = Node[T]()
... | /roe_teer-0.1.0.tar.gz/roe_teer-0.1.0/src/roe_teer/roeteer.py | 0.652574 | 0.194406 | roeteer.py | pypi |
from __future__ import annotations
import re
from copy import deepcopy
from typing import Generic, TypeVar, List, Dict, Tuple, Callable
def longest_common_prefix(a: str, b: str) -> int:
i = 0
l = min(len(a), len(b))
while i < l and a[i] == b[i]:
i += 1
return i
T = TypeVar('T')
class Para... | /roe_teer-0.1.0.tar.gz/roe_teer-0.1.0/src/roe_teer/n.py | 0.601359 | 0.261284 | n.py | pypi |
Rofa
=====
Introduction
------------
Interests in **Quant investing** (or trading) are growing fast every day. Many people try to create profitable strategies and test it using past data (It is called 'backetest' by quants). It is good phenomenon in that it can prevent people from wasting their money with unverified ... | /rofa-0.1.2.tar.gz/rofa-0.1.2/README.rst | 0.714528 | 0.75341 | README.rst | pypi |
from datetime import datetime
from functools import partial
from typing import Any
from rofi import Rofi
def required(transcoder: (...), *args):
result = transcoder(*args)
if not result:
exit('This field is required.')
return result
def text(r: Rofi, name: str, config: dict, store: Any) -> dict:... | /rofi-notion-2.0.1.tar.gz/rofi-notion-2.0.1/rofi_notion/transcoders.py | 0.544317 | 0.24102 | transcoders.py | pypi |
# rbw-rofi
## A rofi frontend for Bitwarden
Based on the alternative [Bitwarden](https://bitwarden.com/) CLI [rbw](https://github.com/doy/rbw/) and inspired by [rofi-pass](https://github.com/carnager/rofi-pass), `rbw-rofi` is a simplistic password typer/copier using [rofi](https://github.com/davatorium/rofi) and [wofi... | /rofi_rbw-1.2.0.tar.gz/rofi_rbw-1.2.0/README.md | 0.758958 | 0.679843 | README.md | pypi |
import re
from subprocess import run
from typing import Dict, List, Tuple, Union
from .abstractionhelper import is_installed, is_wayland
from .credentials import Credentials
from .entry import Entry
from .models import Action, Keybinding, Target, Targets
class Selector:
@staticmethod
def best_option(name: st... | /rofi_rbw-1.2.0.tar.gz/rofi_rbw-1.2.0/src/rofi_rbw/selector.py | 0.627723 | 0.239672 | selector.py | pypi |
import time
from subprocess import run
from .abstractionhelper import is_installed, is_wayland
class Clipboarder:
@staticmethod
def best_option(name: str = None) -> "Clipboarder":
try:
return next(clipboarder for clipboarder in Clipboarder.__subclasses__() if clipboarder.name() == name)()... | /rofi_rbw-1.2.0.tar.gz/rofi_rbw-1.2.0/src/rofi_rbw/clipboarder.py | 0.586404 | 0.156749 | clipboarder.py | pypi |
import time
from subprocess import run
from .abstractionhelper import is_installed, is_wayland
class Typer:
@staticmethod
def best_option(name: str = None) -> "Typer":
try:
return next(typer for typer in Typer.__subclasses__() if typer.name() == name)()
except StopIteration:
... | /rofi_rbw-1.2.0.tar.gz/rofi_rbw-1.2.0/src/rofi_rbw/typer.py | 0.630571 | 0.167712 | typer.py | pypi |
from pathlib import Path
from typing import Any, Dict
try:
_have_config_reader = True
from tmuxp.config_reader import ConfigReader
except ImportError: # no_cover_tmuxp_gte_1_16
# In tmuxp < 1.16, 3d party library `Kaptan` was used to read config files.
# `Kaptan` is just a wrapper around `PyYAML` and... | /rofi_tmuxp-0.5.0-py3-none-any.whl/rofi_tmuxp/tmuxp_client.py | 0.631026 | 0.303896 | tmuxp_client.py | pypi |
import shlex
from subprocess import Popen
from typing import List, Optional, Iterable
from urllib.error import URLError
from urllib.request import urlopen
from dynmen import Menu
from tpblite import CATEGORIES
from tpblite import TPB as TPBAPI
from tpblite.models.torrents import Torrent, Torrents
from .config import ... | /rofi-tpb-0.2.7.tar.gz/rofi-tpb-0.2.7/rofi_tpb/tpb.py | 0.761095 | 0.156234 | tpb.py | pypi |
from glob import glob
from typing import Dict, List
from .paths import *
def read_characters_from_files(files: List[str], frecent: List[str], use_additional: bool) -> Dict[str, str]:
all_characters: Dict[str, List[str]] = {}
for character in frecent:
all_characters[character] = []
for file in _... | /rofimoji-6.1.0-py3-none-any.whl/picker/file_loader.py | 0.588653 | 0.312475 | file_loader.py | pypi |
import argparse
import re
import sys
from dataclasses import dataclass
from enum import IntEnum, auto
from pickle import dump, load
from typing import Dict, List, Optional
from . import emoji_data
from .action import execute_action
from .argument_parsing import parse_arguments_flexible
from .clipboarder.clipboarder im... | /rofimoji-6.1.0-py3-none-any.whl/picker/mode.py | 0.504394 | 0.189859 | mode.py | pypi |
import sys
from typing import Dict, List, Tuple, Union
from . import emoji_data
from .action import execute_action
from .argument_parsing import parse_arguments_strict
from .clipboarder.clipboarder import Clipboarder
from .file_loader import read_characters_from_files
from .frecent import load_frecent_characters, save... | /rofimoji-6.1.0-py3-none-any.whl/picker/standalone.py | 0.491944 | 0.152032 | standalone.py | pypi |
import argparse
import shlex
import configargparse
from . import __version__
from .models import Action
from .paths import *
def parse_arguments_strict() -> argparse.Namespace:
return __parse_arguments(only_known=True)
def parse_arguments_flexible() -> argparse.Namespace:
return __parse_arguments(only_kno... | /rofimoji-6.1.0-py3-none-any.whl/picker/argument_parsing.py | 0.639173 | 0.178687 | argument_parsing.py | pypi |
from subprocess import run
from ..abstractionhelper import is_installed, is_wayland
class Typer:
@staticmethod
def best_option(name: str = None) -> "Typer":
try:
return next(typer for typer in Typer.__subclasses__() if typer.name() == name)()
except StopIteration:
try:... | /rofimoji-6.1.0-py3-none-any.whl/picker/typer/typer.py | 0.559771 | 0.191403 | typer.py | pypi |
import re
from subprocess import run
from typing import Dict, List, Tuple, Union
from ..abstractionhelper import is_installed, is_wayland
from ..models import CANCEL, DEFAULT, Action, Shortcut
class Selector:
@staticmethod
def best_option(name: str = None) -> "Selector":
try:
return next(... | /rofimoji-6.1.0-py3-none-any.whl/picker/selector/selector.py | 0.649023 | 0.275367 | selector.py | pypi |
# NLU: The Power of Spark NLP, the Simplicity of Python
John Snow Labs' NLU is a Python library for applying state-of-the-art text mining, directly on any dataframe, with a single line of code.
As a facade of the award-winning Spark NLP library, it comes with **1000+** of pretrained models in **100+** , all production... | /roflma-3.4.0.tar.gz/roflma-3.4.0/README.md | 0.654453 | 0.991961 | README.md | pypi |
from nlu import *
from dataclasses import dataclass
import glob
import os
import json
import sys
import logging
COMPONENT_INFO_FILE_NAME = 'component_infos.json'
logger = logging.getLogger('nlu')
class AllComponentsInfo:
def __init__(self):
''' Initialize every NLU component info object and provide acce... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/info.py | 0.422266 | 0.17614 | info.py | pypi |
from nlu.universe.atoms import LicenseType, NlpLevel
class NLP_LEVELS(NlpLevel):
""":cvar
XXX_SUPER is a N to M Mapping, with M <= N
XXX_SUB is a N to M mapping, with M >=N
no prefix implies a N to N mapping to be expected
"""
DOCUMENT = NlpLevel('document')
CHUNK = NlpLevel('chunk')
N... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/universe/logic_universes.py | 0.462959 | 0.343617 | logic_universes.py | pypi |
from nlu.pipe.extractors.extractor_base_data_classes import SparkNLPExtractor, SparkNLPExtractorConfig
from nlu.pipe.extractors.extractor_methods.helper_extractor_methods import *
from nlu.pipe.extractors.extractor_methods.base_extractor_methods import *
"""
This file contains methods to get pre-defined configurations... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/extractors/extractor_configs_HC.py | 0.718989 | 0.255802 | extractor_configs_HC.py | pypi |
from nlu.pipe.extractors.extractor_base_data_classes import SparkNLPExtractor,SparkNLPExtractorConfig
from nlu.pipe.extractors.extractor_methods.helper_extractor_methods import *
"""
This file contains methods to get pre-defined configurations for every annotator.
Extractor_resolver.py should be used to resolve SparkN... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/extractors/extractor_configs_OS.py | 0.561215 | 0.173919 | extractor_configs_OS.py | pypi |
import numpy as np
def meta_extract_language_classifier_max_confidence(row,configs):
''' Extract the language classificationw ith highest confidence and drop the others '''
# # todo Get the best, but what about TOP K! conditional sentence extraction and mroe docs
#unpack all confidences to float and set 's... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/extractors/extractor_methods/helper_extractor_methods.py | 0.477311 | 0.389343 | helper_extractor_methods.py | pypi |
Resolve Annotator Classes in the Pipeline to Extractor Configs and Methods.
Each Spark NLP Annotator Class is mapped to at least one
Every Annotator should have 2 configs. Some might offor multuple configs/method pairs, based on model/NLP reference.
- default/minimalistic -> Just the results of the annotations, no con... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/col_substitution/name_deduction/name_deductable_annotators_OS.py | 0.644449 | 0.456531 | name_deductable_annotators_OS.py | pypi |
from sparknlp_jsl.annotator import *
from sparknlp.base import *
from sparknlp_display import *
class VizUtilsHC():
"""Utils for interfacing with the Spark-NLP-Display lib - licensed Viz"""
HTML_WRAPPER = """<div class="scroll entities" style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem;... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/viz/vis_utils_HC.py | 0.495606 | 0.288564 | vis_utils_HC.py | pypi |
from sparknlp.annotator import *
from nlu.pipe.viz.vis_utils_OS import VizUtilsOS
import random
class VizUtils():
"""Utils for interfacing with the Spark-NLP-Display lib"""
@staticmethod
def get_random(): return random.randint(0,1333333333337)
@staticmethod
def infer_viz_type(pipe)->str:
... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/viz/vis_utils.py | 0.539469 | 0.251823 | vis_utils.py | pypi |
from sparknlp_display import NerVisualizer,DependencyParserVisualizer
from sparknlp.annotator import NerConverter,DependencyParserModel, TypedDependencyParserModel, PerceptronModel
from sparknlp.base import DocumentAssembler
class VizUtilsOS():
"""Utils for interfacing with the Spark-NLP-Display lib and vizzing Op... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/viz/vis_utils_OS.py | 0.558809 | 0.219317 | vis_utils_OS.py | pypi |
from nlu.discovery import Discoverer
from typing import List, Optional, Dict
import streamlit as st
from nlu.pipe.viz.streamlit_viz.streamlit_utils_OS import StreamlitUtilsOS
from nlu.pipe.viz.streamlit_viz.gen_streamlit_code import get_code_for_viz
from nlu.pipe.viz.streamlit_viz.styles import _set_block_container_sty... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/viz/streamlit_viz/viz_building_blocks/ner.py | 0.609292 | 0.222816 | ner.py | pypi |
from typing import List
import logging
from nlu.pipe.nlu_component import NluComponent
from nlu.universe.logic_universes import AnnoTypes
from nlu.universe.feature_node_ids import NLP_NODE_IDS, NLP_HC_NODE_IDS
from nlu.universe.atoms import JslAnnoId
logger = logging.getLogger('nlu')
import inspect
from nlu.pipe.pipe... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/component_utils.py | 0.865267 | 0.313288 | component_utils.py | pypi |
from typing import List, Dict
import logging
from nlu.universe.logic_universes import NLP_LEVELS, AnnoTypes
from nlu.universe.feature_node_ids import NLP_NODE_IDS
from nlu.universe.feature_universes import NLP_FEATURES
logger = logging.getLogger('nlu')
from nlu.universe.universes import Licenses
from sparknlp.base im... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/output_level_resolution_utils.py | 0.842572 | 0.277932 | output_level_resolution_utils.py | pypi |
import glob
import logging
import os
from typing import List
import pyspark
import numpy as np
import pandas as pd
logger = logging.getLogger('nlu')
class OcrDataConversionUtils:
@staticmethod
def validate_OCR_compatible_inputs(data):
"""Validate for input data that it contains a path pointing to fil... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/ocr_data_conversion_utils.py | 0.551091 | 0.281126 | ocr_data_conversion_utils.py | pypi |
import glob
import logging
from typing import List
import os
import numpy as np
import pyspark
import sparknlp
from pyspark.sql.functions import monotonically_increasing_id
from nlu.pipe.utils.ocr_data_conversion_utils import OcrDataConversionUtils
logger = logging.getLogger('nlu')
from nlu.pipe.pipe_logic import Pip... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/predict_helper.py | 0.683842 | 0.265904 | predict_helper.py | pypi |
from sparknlp.annotator import *
import inspect
import logging
logger = logging.getLogger('nlu')
from nlu.pipe.utils.component_utils import ComponentUtils
import nlu
import requests
class ModelHubUtils():
modelhub_json_url = 'https://nlp.johnsnowlabs.com/models.json'
data = requests.get(modelhub_json_url).json(... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/modelhub_utils.py | 0.62681 | 0.286537 | modelhub_utils.py | pypi |
import logging
from nlu.pipe.nlu_component import NluComponent
from nlu.pipe.utils.resolution import uid_to_storage_ref as uid2storageref
logger = logging.getLogger('nlu')
"""Storage Ref logic operations and utils"""
class StorageRefUtils:
@staticmethod
def has_storage_ref(component: NluComponent):
... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/resolution/storage_ref_utils.py | 0.436982 | 0.464476 | storage_ref_utils.py | pypi |
import logging
logger = logging.getLogger('nlu')
from pyspark.sql.dataframe import DataFrame
import numpy as np
import pandas as pd
from pyspark.sql.types import ByteType, ShortType, IntegerType, LongType, FloatType, \
DoubleType, BooleanType, MapType, TimestampType, StructType, DataType
from pyspark.sql.pandas.ty... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/pipe/utils/pyarrow_conversion/pa_conversion.py | 0.682997 | 0.389605 | pa_conversion.py | pypi |
from nlu.pipe.pipe_component import SparkNLUComponent
class Classifier(SparkNLUComponent):
def __init__(self, annotator_class='sentiment_dl', language='en', component_type='classifier', get_default=True,
model=None, nlp_ref='', nlu_ref='', trainable=False, is_licensed=False, do_ref_checks=True,
... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/components/classifier.py | 0.427994 | 0.288315 | classifier.py | pypi |
from nlu.pipe.pipe_component import SparkNLUComponent
class Util(SparkNLUComponent):
def __init__(self, annotator_class='document_assembler', component_type='util', model = None, loaded_from_pretrained_pipe = False, nlu_ref='',nlp_ref='',lang='en',is_licensed=False):
# super(Tokenizer,self).__init__(annot... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/components/util.py | 0.54359 | 0.245486 | util.py | pypi |
import nlu
from nlu.pipe.pipe_component import SparkNLUComponent
class Matcher(SparkNLUComponent):
def __init__(self, annotator_class='date_matcher', language='en', component_type='matcher', get_default=False,
nlp_ref='', model=None, nlu_ref='', dataset='', is_licensed=False, loaded_from_pretrain... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/components/matcher.py | 0.430267 | 0.232027 | matcher.py | pypi |
import logging
logger = logging.getLogger('nlu')
import nlu
import requests
class ModelHubUtils():
modelhub_json_url = 'https://nlp.johnsnowlabs.com/models.json'
data = requests.get(modelhub_json_url).json()
"""Modelhub utils"""
@staticmethod
def NLU_ref_to_NLP_ref(nlu_ref: str, lang: str = None... | /roflma-3.4.0.tar.gz/roflma-3.4.0/nlu/utils/modelhub/modelhub_utils.py | 0.742141 | 0.333544 | modelhub_utils.py | pypi |
import csv
import os
from torchblocks.callback import TrainLogger
from torchblocks.metrics import Accuracy
from torchblocks.processor import InputExample, TextClassifierProcessor
from torchblocks.trainer import TextClassifierTrainer
from torchblocks.utils import (
build_argparse,
dict_to_text,
get_checkpoi... | /roformer-0.4.3.tar.gz/roformer-0.4.3/examples/task_text_classification_chnsenti.py | 0.728555 | 0.216705 | task_text_classification_chnsenti.py | pypi |
# Rofunc: The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
[](https://pypi.org/project/rofunc/)
 presented in
["Roughness of Molecular Property Landscapes and Its Impact on Modellability"](#), as well
as the [SARI](https://pubs.acs.org/doi/10.1021/jm0705713), [MODI](https://pubs.acs.org/doi/10.1021/ci4005... | /rogi-0.1.tar.gz/rogi-0.1/README.md | 0.724675 | 0.979609 | README.md | pypi |
from abc import ABC, abstractmethod
from typing import Any, Dict, Iterable, List, Optional, Set, Tuple, TypeVar
from pandas import DataFrame
from rogii_solo.calculations.converters import convert_value, radians_to_degrees
from rogii_solo.calculations.enums import EMeasureUnits
from rogii_solo.papi.client import PapiC... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/src/rogii_solo/base.py | 0.888318 | 0.370823 | base.py | pypi |
from typing import Any, Dict
from pandas import DataFrame
import rogii_solo.interpretation
from rogii_solo.base import BaseObject
from rogii_solo.calculations.interpretation import get_segments, get_segments_boundaries, interpolate_horizon
from rogii_solo.calculations.trajectory import calculate_trajectory
from rogii... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/src/rogii_solo/horizon.py | 0.916447 | 0.204322 | horizon.py | pypi |
from math import fabs
from typing import Any, Dict, List
from rogii_solo.calculations.base import (
calc_segment_dip,
find_by_md,
find_last_by_md,
get_most_common,
get_nearest_values,
interpolate_linear
)
from rogii_solo.calculations.constants import DELTA
from rogii_solo.calculations.enums imp... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/src/rogii_solo/calculations/interpretation.py | 0.814754 | 0.290012 | interpretation.py | pypi |
import math
from bisect import bisect_left
from collections import Counter
from typing import Any, Callable, Dict, List, Optional, TypeVar
from rogii_solo.calculations.constants import DELTA
T = TypeVar('T')
V = TypeVar('V')
def calc_hypotenuse_length(cathetus1: float, cathetus2: float) -> Optional[float]:
if c... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/src/rogii_solo/calculations/base.py | 0.874386 | 0.62661 | base.py | pypi |
import copy
from math import acos, cos, degrees, fabs, pi, sin
from typing import Any, Dict, Optional
from rogii_solo.calculations.base import calc_atan2, calc_hypotenuse_length, calc_shape_factor
from rogii_solo.calculations.base import calc_vs as base_calc_vs
from rogii_solo.calculations.base import normalize_angle
... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/src/rogii_solo/calculations/trajectory.py | 0.773815 | 0.302977 | trajectory.py | pypi |
from os import environ
from typing import Any, Dict, List, Optional, Tuple
from numpy import arange, ndarray
from rogii_solo import SoloClient
from rogii_solo.calculations.base import calc_hypotenuse_length, get_nearest_values
from rogii_solo.calculations.converters import feet_to_meters, radians_to_degrees
from rogi... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/examples/bulk_zone_statistics_calculation.py | 0.845847 | 0.268209 | bulk_zone_statistics_calculation.py | pypi |
import math
from bisect import bisect_left
from os import environ
from typing import Any, Dict, List, Tuple
import numpy as np
import plotly
import plotly.graph_objs as go
from scipy import stats
import rogii_solo.well
from rogii_solo import SoloClient
from rogii_solo.calculations.base import get_nearest_values
from ... | /rogii-solo-0.4.0.tar.gz/rogii-solo-0.4.0/examples/tvt_rop_heatmap/tvt_rop_heatmap.py | 0.72662 | 0.332961 | tvt_rop_heatmap.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 ... | /rogin_gaussian_binomial-0.1.tar.gz/rogin_gaussian_binomial-0.1/rogin_gaussian_binomial/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
from gym import spaces
import json
from typing import Dict, Iterable, List, Tuple, Union
from rogue_gym_python._rogue_gym import ParallelGameState, PlayerState
from .rogue_env import ImageSetting, RogueEnv
class ParallelRogueEnv:
"""Special executor to exec rogue-gym parallely.
"""
metadata = RogueEnv.met... | /rogue_gym-0.0.2-cp37-cp37m-macosx_10_13_x86_64.whl/rogue_gym/envs/parallel.py | 0.76782 | 0.291214 | parallel.py | pypi |
from enum import Enum, Flag
import gym
from gym import spaces
import json
import numpy as np
from numpy import ndarray
from typing import Dict, List, NamedTuple, Optional, Tuple, Union
from rogue_gym_python import _rogue_gym as rogue_gym_inner
from rogue_gym_python._rogue_gym import GameState, PlayerState
class Statu... | /rogue_gym-0.0.2-cp37-cp37m-macosx_10_13_x86_64.whl/rogue_gym/envs/rogue_env.py | 0.851984 | 0.336985 | rogue_env.py | pypi |
from .rogue_env import PlayerState, RogueEnv
from .parallel import ParallelRogueEnv
from gym import Env, Wrapper
from typing import Iterable, List, Tuple, Union
def check_rogue_env(env: Env) -> None:
if not isinstance(env.unwrapped, RogueEnv):
raise ValueError('env have to be a wrapper of RoguEnv')
clas... | /rogue_gym-0.0.2-cp37-cp37m-macosx_10_13_x86_64.whl/rogue_gym/envs/wrappers.py | 0.817938 | 0.202917 | wrappers.py | pypi |
from copy import deepcopy
from dataclasses import dataclass
from typing import Dict, List, Optional
import numpy as np
import ragged_buffer
from entity_gym.env import ObsSpace
from ragged_buffer import RaggedBufferF32
@dataclass
class TranslationConfig:
"""Settings for translating position features.
Attribu... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/translate_positions.py | 0.785473 | 0.562958 | translate_positions.py | pypi |
import logging
import math
from dataclasses import dataclass
from typing import Literal, Mapping, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch_scatter
from entity_gym.env.environment import ObsSpace
from ragged_buffer import RaggedBufferI64
from torch.nn import functional as F
from rogue_net... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/transformer.py | 0.926802 | 0.411377 | transformer.py | pypi |
from typing import Dict, Mapping, Optional, Tuple
import numpy as np
import ragged_buffer
import torch
from entity_gym.env import ObsSpace
from entity_gym.simple_trace import Tracer
from ragged_buffer import RaggedBufferF32, RaggedBufferI64
from torch import nn
from rogue_net.input_norm import InputNorm
from rogue_ne... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/embedding.py | 0.941385 | 0.345712 | embedding.py | pypi |
import math
from typing import Optional, Tuple
import numpy as np
import numpy.typing as npt
import torch
from entity_gym.env import VecActionMask, VecSelectEntityActionMask
from ragged_buffer import RaggedBufferI64
from torch import nn
from torch.distributions.categorical import Categorical
from rogue_net.ragged_ten... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/select_entity_action_head.py | 0.884208 | 0.419053 | select_entity_action_head.py | pypi |
import dataclasses
from dataclasses import dataclass
from typing import Dict, List, Mapping, Optional, Tuple, Type, TypeVar
import numpy as np
import numpy.typing as npt
import torch
import torch.nn as nn
import torch_scatter
from entity_gym.env import ActionSpace, ObsSpace, VecActionMask
from entity_gym.env.environme... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/rogue_net.py | 0.934152 | 0.331498 | rogue_net.py | pypi |
import math
from dataclasses import dataclass, field
from typing import List, Literal, Mapping, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from entity_gym.env import ObsSpace
from ragged_buffer import RaggedBufferI64
from rogue_net.input_norm import InputNorm
@dataclass(froze... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/relpos_encoding.py | 0.905584 | 0.639806 | relpos_encoding.py | pypi |
from typing import Optional, Tuple
import numpy as np
import numpy.typing as npt
import torch
from entity_gym.env import VecActionMask, VecCategoricalActionMask
from ragged_buffer import RaggedBufferI64
from torch import nn
from torch.distributions.categorical import Categorical
from rogue_net.ragged_tensor import Ra... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/categorical_action_head.py | 0.958377 | 0.498962 | categorical_action_head.py | pypi |
from typing import Optional
import torch
from torch import nn
class InputNorm(nn.Module):
"""
Computes a running mean/variance of input features and performs normalization.
Adapted from https://www.johndcook.com/blog/standard_deviation/
"""
# Pretend that `count` is a float to make MyPy happy
... | /rogue-net-0.1.9.tar.gz/rogue-net-0.1.9/rogue_net/input_norm.py | 0.96556 | 0.636381 | input_norm.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 ... | /rohan_asnanis_distribution-0.1.tar.gz/rohan_asnanis_distribution-0.1/Python Package(PyPi) - rohan_asnanis_distribution/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
from plone.app.registry.browser.controlpanel import (
ControlPanelFormWrapper,
RegistryEditForm,
)
from plone.app.z3cform.widget import AjaxSelectFieldWidget
from plone.autoform import directives
from plone.restapi.controlpanels import RegistryConfigletPanel
from plone.z3cform import layout
from rohberg.elastic... | /rohberg.elasticsearchblocks-1.0.0.tar.gz/rohberg.elasticsearchblocks-1.0.0/src/rohberg/elasticsearchblocks/controlpanels/volto_searchkit_block_control_panel/controlpanel.py | 0.549399 | 0.206734 | controlpanel.py | pypi |
from typing import Any, Optional
import importlib.util
import sys
import os
import logging
from importlib.metadata import version
PACKAGES_HAVE_BEEN_CHECKED = False
def check_python(logger: Optional[logging.Logger] = None) -> None:
"""
This function checks that the python version in use is 3+.
Args:
... | /roi_tanh_tensorflow-0.0.4.tar.gz/roi_tanh_tensorflow-0.0.4/src/roi_tanh/utils/packages.py | 0.605333 | 0.204898 | packages.py | pypi |
from .fastwarping import FastTanhWarping
from typing import Tuple, List
import tensorflow as tf
import numpy as np
from PIL import Image
def labels2boxes(
input: np.ndarray,
left_eye_class: List[int] = [2, 4],
right_eye_class: List[int] = [3, 5],
nose_class: List[int] = [6],
mouth_class: List[int]... | /roi_tanh_tensorflow-0.0.4.tar.gz/roi_tanh_tensorflow-0.0.4/src/roi_tanh/warping/warping.py | 0.944472 | 0.74062 | warping.py | pypi |
from .grid_sampler import bilinear_sampler
import tensorflow as tf
from skimage import transform as trans
import numpy as np
from typing import Tuple, Optional
def atanh(x: tf.Tensor) -> tf.Tensor:
"""
Implements the atanh function
Args:
x: tensor to activate element-wise.
"""
return 0.5 ... | /roi_tanh_tensorflow-0.0.4.tar.gz/roi_tanh_tensorflow-0.0.4/src/roi_tanh/warping/fastwarping.py | 0.961353 | 0.81604 | fastwarping.py | pypi |
import tensorflow as tf
def get_pixel_value(img: tf.Tensor, x: tf.Tensor, y: tf.Tensor) -> tf.Tensor:
"""
Utility function to get pixel value for coordinate
vectors x and y from a 4D tensor image.
Input
-----
- img: tensor of shape (B, H, W, C)
- x: flattened tensor of shape (B*H*W,)
... | /roi_tanh_tensorflow-0.0.4.tar.gz/roi_tanh_tensorflow-0.0.4/src/roi_tanh/warping/grid_sampler.py | 0.912641 | 0.775945 | grid_sampler.py | pypi |
# ROICaT <img src="logo.png" width="300" title="ROICaT" alt="ROICaT" align="right" vspace = "60">
[](https://github.com/RichieHakim/ROICaT/actions/workflows/build.yml)
**R**egion **O**f **I**nterest **C**lass... | /roicat-1.1.0.tar.gz/roicat-1.1.0/README.rst | 0.407569 | 0.888614 | README.rst | pypi |
# ROICaT <img src="logo.png" width="300" title="ROICaT" alt="ROICaT" align="right" vspace = "60">
[](https://github.com/RichieHakim/ROICaT/actions/workflows/build.yml)
**R**egion **O**f **I**nterest **C**lass... | /roicat-1.1.0.tar.gz/roicat-1.1.0/README.md | 0.407569 | 0.888614 | README.md | pypi |
=================
Welcome to ROILoc
=================
ROILoc is a registration-based ROI locator, based on the MNI152 09c Sym template, and the CerebrA Atlas. It'll center and crop T1 or T2 MRIs around a given ROI.
Results are saved in "LPI-" (or "RAS+") format.
.. image:: https://raw.githubusercontent.com/clementpoi... | /ROILoc-0.3.0.tar.gz/ROILoc-0.3.0/README.rst | 0.903134 | 0.683314 | README.rst | pypi |
from __future__ import annotations
import datetime as dt
from packaging import version
from .model import RointeProduct
DEFAULT_TIME_ZONE: dt.tzinfo = dt.timezone.utc
def now(time_zone=None) -> dt.datetime:
"""Get now in specified time zone."""
return dt.datetime.now(time_zone or DEFAULT_TIME_ZONE)
def fi... | /rointe-sdk-1.3.4.tar.gz/rointe-sdk-1.3.4/rointesdk/utils.py | 0.728265 | 0.407333 | utils.py | pypi |
from __future__ import annotations
from datetime import datetime
from rointesdk.utils import get_product_by_type_version
from .model import ScheduleMode, RointeProduct
from .dto import EnergyConsumptionData
from . import utils
class RointeDevice:
"""Represent a Rointe device from the API."""
id: str
n... | /rointe-sdk-1.3.4.tar.gz/rointe-sdk-1.3.4/rointesdk/device.py | 0.883958 | 0.325427 | device.py | pypi |
import datetime
from typing import Any, Dict, Optional, Union
import pandas as pd
from .gie_raw_client import GieRawClient
from .mappings.agsi_company import AGSICompany
from .mappings.agsi_country import AGSICountry
from .mappings.agsi_facility import AGSIFacility
from .mappings.alsi_company import ALSICompany
from ... | /roiti_gie-1.0.1-py3-none-any.whl/roiti/gie/gie_pandas_client.py | 0.900516 | 0.314682 | gie_pandas_client.py | pypi |
from typing import Union
from .mappings.agsi_company import AGSICompany
from .mappings.agsi_country import AGSICountry
from .mappings.agsi_facility import AGSIFacility
from .mappings.alsi_company import ALSICompany
from .mappings.alsi_country import ALSICountry
from .mappings.alsi_facility import ALSIFacility
def lo... | /roiti_gie-1.0.1-py3-none-any.whl/roiti/gie/lookup_functions.py | 0.871119 | 0.478833 | lookup_functions.py | pypi |
import datetime
import logging
import urllib.parse
from typing import Any, Dict, Optional, Union
import aiohttp
from .exceptions import ApiError
from .lookup_functions import (
lookup_agsi_company,
lookup_alsi_company,
lookup_country_agsi,
lookup_country_alsi,
lookup_facility_agsi,
lookup_faci... | /roiti_gie-1.0.1-py3-none-any.whl/roiti/gie/gie_raw_client.py | 0.861698 | 0.169406 | gie_raw_client.py | pypi |
import enum
class ALSIFacility(enum.Enum):
"""Enum containing 3 things about an Area: code, country, code company"""
def __new__(cls, *args, **kwargs):
obj = object.__new__(cls)
obj._value_ = args[0]
return obj
def __init__(self, _: str, country: str, company: str):
self.... | /roiti_gie-1.0.1-py3-none-any.whl/roiti/gie/mappings/alsi_facility.py | 0.715225 | 0.238173 | alsi_facility.py | pypi |
import enum
class AGSIFacility(enum.Enum):
"""Enum containing 3 things about an Area: code, country, code company"""
def __new__(cls, *args, **kwargs):
obj = object.__new__(cls)
obj._value_ = args[0]
return obj
def __init__(self, _: str, country: str, company: str):
self.... | /roiti_gie-1.0.1-py3-none-any.whl/roiti/gie/mappings/agsi_facility.py | 0.638046 | 0.201479 | agsi_facility.py | pypi |
import enum
class AGSICompany(enum.Enum):
"""ENUM containing 2 things about an Area: code, country"""
def __new__(cls, *args, **kwargs):
obj = object.__new__(cls)
obj._value_ = args[0]
return obj
def __init__(self, _: str, country: str):
"""Constructor for the AGSICompany... | /roiti_gie-1.0.1-py3-none-any.whl/roiti/gie/mappings/agsi_company.py | 0.730097 | 0.293696 | agsi_company.py | pypi |
import json
from typing import Union
from agrirouter.messaging.exceptions import WrongFieldError
class AuthorizationToken:
ACCOUNT = 'account'
REGISTRATION_CODE = 'regcode'
EXPIRES = 'expires'
def __init__(self,
*,
account: str = None,
regcode: str ... | /roj-agrirouter-sdk-python-1.0.6.tar.gz/roj-agrirouter-sdk-python-1.0.6/agrirouter/auth/dto.py | 0.810816 | 0.256518 | dto.py | pypi |
import json
from typing import Union
from agrirouter.messaging.exceptions import WrongFieldError
class ConnectionCriteria:
CLIENT_ID = 'clientId'
COMMANDS = 'commands'
GATEWAY_ID = 'gatewayId'
HOST = 'host'
MEASURES = 'measures'
PORT = 'port'
def __init__(self,
*,
... | /roj-agrirouter-sdk-python-1.0.6.tar.gz/roj-agrirouter-sdk-python-1.0.6/agrirouter/onboarding/dto.py | 0.721645 | 0.155623 | dto.py | pypi |
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