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 dash_bio as dashbio
from .base import *
representation_options = [
{"label": "backbone", "value": "backbone"},
{"label": "ball+stick", "value": "ball+stick"},
{"label": "cartoon", "value": "cartoon"},
{"label": "hyperball", "value": "hyperball"},
{"label": "licorice", "value": "licorice"},... | /rostspace-0.1.1-py3-none-any.whl/src/visualization/pdb.py | 0.591133 | 0.185892 | pdb.py | pypi |
# ROT2Prog
This is a python interface to the [Alfa ROT2Prog Controller](http://alfaradio.ca/docs/Manuals/RAS/Alfa_ROT2Prog_Controller-28March2019-Master.pdf). The ROT2Prog is an electronic controller used for turning rotators. The Controller may be connected to one Azimuth and Elevation rotator and operates with direc... | /rot2prog-0.0.9.tar.gz/rot2prog-0.0.9/README.md | 0.871557 | 0.972072 | README.md | pypi |
import struct
from typing import Callable, Dict
import minimalmodbus
import cachetools.func
from loguru import logger as log
def bits_to_dict(value, structure_class: Callable):
cs = structure_class()
struct.pack_into(
cs.pack_format,
cs,
0,
value
)
fields = [item[0] fo... | /rotary_controller_python-0.1.6-py3-none-any.whl/rotary_controller_python/utils/bitfields.py | 0.700485 | 0.288908 | bitfields.py | pypi |
from inspect import isfunction
import numpy as np
import tensorflow as tf
from tensorflow.keras import layers
# helper functions
#The three functions of rearrange, irearrange and repeat have been written
# due to the incompatibility of the einops library with tensorflow 2.x.
def rearrange(x, r=2):
b = tf.shape... | /rotary-embedding-tensorflow-0.1.1.tar.gz/rotary-embedding-tensorflow-0.1.1/rotary_embedding_tensorflow/rotary_embedding_tensorflow.py | 0.761627 | 0.703779 | rotary_embedding_tensorflow.py | pypi |
from math import pi, log
import torch
from torch import nn, einsum
from einops import rearrange, repeat
# helper functions
def exists(val):
return val is not None
def broadcat(tensors, dim = -1):
num_tensors = len(tensors)
shape_lens = set(list(map(lambda t: len(t.shape), tensors)))
assert len(shap... | /rotary_embedding_torch-0.2.7-py3-none-any.whl/rotary_embedding_torch/rotary_embedding_torch.py | 0.89526 | 0.691797 | rotary_embedding_torch.py | pypi |
# Standard library modules.
import collections
import datetime
import fnmatch
import functools
import logging
import os
import re
# External dependencies.
from dateutil.relativedelta import relativedelta
from executor import execute
from humanfriendly import format_path, parse_path, Timer
from humanfriendly.text impor... | /rotate-backups-s3-0.3.tar.gz/rotate-backups-s3-0.3/rotate_backups_s3/__init__.py | 0.748628 | 0.187356 | __init__.py | pypi |
from Xlib import display
from Xlib.ext import randr
from typing import List, Tuple
# Create an X display and get the root window + its resources
d = display.Display()
root = d.screen().root
res = root.xrandr_get_screen_resources()
class Display:
def __init__(self, output_id, crtc_id):
self._output_id = ... | /rotate-screen-0.1.5.tar.gz/rotate-screen-0.1.5/rotatescreen/display_linux.py | 0.828211 | 0.281347 | display_linux.py | pypi |
from typing import Dict, List, Tuple
import win32api
import win32con
class Display:
def __init__(self, hMonitor):
self.hMonitor = hMonitor
def __repr__(self):
return f"<'{self.device_description[0]}' object>"
def rotate_to(self, degrees: int) -> None:
if degrees == 90:
... | /rotate-screen-0.1.5.tar.gz/rotate-screen-0.1.5/rotatescreen/display.py | 0.875999 | 0.363788 | display.py | pypi |
__all__ = ['NotFittedError',
'ChangedBehaviorWarning',
'ConvergenceWarning',
'DataConversionWarning',
'DataDimensionalityWarning',
'EfficiencyWarning',
'FitFailedWarning',
'NonBLASDotWarning',
'UndefinedMetricWarning']
class NotFi... | /rotation_forest-0.4-py3-none-any.whl/rotation_forest/_exceptions.py | 0.893397 | 0.553083 | _exceptions.py | pypi |
import numpy as np
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree._tree import DTYPE
from sklearn.ensemble._forest import ForestClassifier
from sklearn.utils import resample, gen_batches, check_random_state
from sklearn.decomposition import PCA
def random_feature_subsets(array, batch_size, random_... | /rotation_forest-0.4-py3-none-any.whl/rotation_forest/rotation_forest.py | 0.898053 | 0.429609 | rotation_forest.py | pypi |
from typing import List, Union
import numpy as np
import pandas as pd
from sklearn.metrics import accuracy_score
from RotationTree import RotationTree
class RotationForest:
"""Forest with RotationTree as base estimator.
Algorithm:
Building n_estimator of RotationTree.
Args:
n_estimators (in... | /rotation-random-forest-0.1.1.tar.gz/rotation-random-forest-0.1.1/rotation_random_forest/RotationRandomForest.py | 0.94795 | 0.73782 | RotationRandomForest.py | pypi |
from typing import Iterable, List
import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.tree import DecisionTreeClassifier
class RotationTree:
"""Base estimator for RotaionForest.
Algorithm:
Split feature set into k features subsets.
For every subset select a boot... | /rotation-random-forest-0.1.1.tar.gz/rotation-random-forest-0.1.1/rotation_random_forest/RotationTree.py | 0.954932 | 0.795896 | RotationTree.py | pypi |
from copy import deepcopy
from math import sqrt
from torch import Tensor
from torch.nn.modules import Linear
from rotational_update.layers.base import Rotatable
from rotational_update.layers.functions.static import RotationalLinearFunctionByInsertingGrad
from rotational_update.layers.functions.static import Rotationa... | /rotational_update-0.0.18-py3-none-any.whl/rotational_update/layers/static.py | 0.824356 | 0.566438 | static.py | pypi |
import torch
from torch.autograd import Function
from torch.nn.functional import linear
from torch import Tensor
class RotationalLinearFunction(Function):
@staticmethod
def forward(ctx, *args) -> Tensor:
x, w, b, learn_left, learn_right = args
learn_l = torch.as_tensor(learn_left).requires_gra... | /rotational_update-0.0.18-py3-none-any.whl/rotational_update/layers/functions/static.py | 0.822546 | 0.794425 | static.py | pypi |
Rotest
------
.. image:: https://img.shields.io/pypi/v/rotest.svg
:alt: PyPI
:target: https://pypi.org/project/rotest/
.. image:: https://img.shields.io/pypi/pyversions/rotest.svg
:alt: PyPI - Python Version
:target: https://pypi.org/project/rotest/
.. image:: https://github.com/gregoil/rotest/workfl... | /rotest-8.3.1.tar.gz/rotest-8.3.1/README.rst | 0.862901 | 0.683525 | README.rst | pypi |
import os
import pandas as pd
from ncs.data.downloader import download_and_extract
def data_folder():
"""
Retrieves the path to the data folder.
The data folder is in the user's home directory on Linux (i.e. /home/username/rotman_ncs_data/ncs_data)
and on Windows (i.e. C:\\Users\\username\\AppData\... | /rotman_ncs-0.1.0a7-py3-none-any.whl/ncs/data/__init__.py | 0.659186 | 0.334916 | __init__.py | pypi |
from ..data import load_stock_returns_on_calls, load_call_statements
from .config import default_role_weights, default_section_weights, default_statement_type_weights, default_holding_period
import pandas as pd
from sklearn.metrics import classification_report
from sklearn.model_selection import train_test_split
from s... | /rotman_ncs-0.1.0a7-py3-none-any.whl/ncs/model/train.py | 0.885631 | 0.370339 | train.py | pypi |
from .config import default_role_weights, default_section_weights, default_statement_type_weights
from ..data import load_call_statements
import pandas as pd
import os
import pickle
import warnings
warnings.filterwarnings('ignore')
cur_dir = os.path.dirname(os.path.realpath(__file__))
call_statement_data = load_call... | /rotman_ncs-0.1.0a7-py3-none-any.whl/ncs/model/inference.py | 0.684159 | 0.156911 | inference.py | pypi |
import hashlib
from typing import *
from pathlib import Path
from enum import Enum
from rich.progress import track
from typer import Argument, Option
from .app import app
class InvalidHashAlgoException(Exception):
def __init__(self, hash_name: str):
super().__init__(f"{hash_name} is not supported")
cl... | /modules/common/hash.py | 0.745306 | 0.253249 | hash.py | pypi |
import sys
import types
import typing
# [ Imports:Third Party ]
import din
# [ Exports ]
__all__ = (
'Coro',
'RecordedCoro',
'Yielded',
'Returned',
'Raised',
'OutputType',
'ThrowableType',
'WrappableObjType',
'WrappableFuncType',
)
def __dir__() -> typing.Tuple[str, ...]: # pra... | /rototiller-0.3.0-py3-none-any.whl/rototiller.py | 0.649467 | 0.254477 | rototiller.py | pypi |
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
def plot_rots(rots_res, fdr=0.05, type=None):
# Check for plot type
if type is not None:
if type not in ["volcano", "heatmap", "ma", "reproducibility", "pvalue", "pca"]:
raise ValueError("Plot... | /rots-py-1.2.2.tar.gz/rots-py-1.2.2/src/rotspy/plot_rots.py | 0.70477 | 0.516108 | plot_rots.py | pypi |
import numpy as np
from numba import njit, jit
import pandas as pd
from tqdm import tqdm
import warnings
from optim_cy import optim
@jit(nopython=True, error_model='numpy')
def bootstrapSamples(B, labels, paired):
samples = np.zeros((B, len(labels)))
for i in range(B):
for label in np.unique(labels):
... | /rots-py-1.2.2.tar.gz/rots-py-1.2.2/src/rotspy/helpers.py | 0.439266 | 0.563018 | helpers.py | pypi |
import argparse
import math
import sys
from argparse import ArgumentParser
import matplotlib as mpl
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import numpy as np
import rotsim2d.dressedleaf as dl
import rotsim2d.pathways as pw
import rotsim2d.visual as vis
from asteval import Interpreter
from m... | /rotsim2d_apps-0.3.2.tar.gz/rotsim2d_apps-0.3.2/rotsim2d_apps/peak_picker.py | 0.546738 | 0.215536 | peak_picker.py | pypi |
from pathlib import Path
import string
import sys
from argparse import ArgumentParser
from pprint import pprint
from typing import List, Sequence
import rotsim2d.dressedleaf as dl
import rotsim2d.pathways as pw
import rotsim2d.propagate as prop
import toml
from asteval import Interpreter
class HelpfulParser(Argument... | /rotsim2d_apps-0.3.2.tar.gz/rotsim2d_apps-0.3.2/rotsim2d_apps/rotsim2d_calc.py | 0.446495 | 0.213367 | rotsim2d_calc.py | pypi |
import sys
import matplotlib as mpl
import numpy as np
import PyQt5
import rotsim2d.dressedleaf as dl
import rotsim2d.pathways as pw
import rotsim2d.symbolic.functions as sym
from PyQt5 import Qt, QtCore, QtGui, QtWidgets
from .AngleWidget import Ui_AngleWidget
from .PolarizationsUI import Ui_MainWindow
class Model... | /rotsim2d_apps-0.3.2.tar.gz/rotsim2d_apps-0.3.2/rotsim2d_apps/polarizations/main.py | 0.402744 | 0.15863 | main.py | pypi |
import matplotlib
import matplotlib.cm as cm
import matplotlib.colors as clrs
import numpy as np
from matplotlib.backends.backend_qt5agg import \
NavigationToolbar2QT as NavigationToolbar
from matplotlib.colorbar import Colorbar
from matplotlib.widgets import MultiCursor
from PyQt5 import QtWidgets
from ..MplCanva... | /rotsim2d_apps-0.3.2.tar.gz/rotsim2d_apps-0.3.2/rotsim2d_apps/polarizations/PolarizationWidget.py | 0.728748 | 0.399343 | PolarizationWidget.py | pypi |
import click
from rotten_tomatoes_client import MovieBrowsingQuery
from data import BrowseStreamingMovieCategory, BrowseMovieInTheaterCategory, MovieService, MovieGenre, BrowseSortBy
from data.services import RottenTomatoesMoviesBrowser
from tables.builders import BrowseMovieTableBuilder
from tables.rows.builders impo... | /rotten_tomatoes_cli-0.0.3.tar.gz/rotten_tomatoes_cli-0.0.3/scripts/movies.py | 0.433022 | 0.180865 | movies.py | pypi |
from data import TvShowSearchResult, MovieSearchResult, BrowseTvShowResult, BrowseMovieResult
class TvShowSearchResultsParser:
def __init__(self):
pass
def parse(self, tv_show_results):
return [
TvShowSearchResult(name=tv_show_result["title"],
start_... | /rotten_tomatoes_cli-0.0.3.tar.gz/rotten_tomatoes_cli-0.0.3/data/parsers.py | 0.688468 | 0.190442 | parsers.py | pypi |
from textwrap import wrap
from termcolor import colored
from tables.utilities import RottenTomatoesScoreFormatter, MpaaRatingFormatter, convert_to_ascii, clean_html, formatted_header
class MovieSearchRowBuilder:
def __init__(self):
self.rating_formatter = RottenTomatoesScoreFormatter()
def build(s... | /rotten_tomatoes_cli-0.0.3.tar.gz/rotten_tomatoes_cli-0.0.3/tables/rows/builders.py | 0.753013 | 0.312658 | builders.py | pypi |
[](https://badge.fury.io/py/rottentomatoes-pyt... | /rottentomatoes-python-0.6.2.tar.gz/rottentomatoes-python-0.6.2/README.md | 0.470493 | 0.938801 | README.md | pypi |
from pydantic import ConfigDict, BaseModel, Field
class MovieQuery(BaseModel):
"""Job request, querying for a movie."""
name: str = Field(..., title="Name of the movie you're searching for.")
# Model configuration
model_config = ConfigDict(json_schema_extra={"example": {"name": "top gun"}})
class M... | /rottentomatoes-python-0.6.2.tar.gz/rottentomatoes-python-0.6.2/api/models.py | 0.871229 | 0.397441 | models.py | pypi |
import requests
import re
from typing import List
from . import utils
from .exceptions import LookupError
class SearchListing:
"""A search listing from the Rotten Tomatoes search page."""
def __init__(self, has_tomatometer: bool, is_movie: bool, url: str) -> None:
self.has_tomatometer = has_tomatome... | /rottentomatoes-python-0.6.2.tar.gz/rottentomatoes-python-0.6.2/rottentomatoes/search.py | 0.877975 | 0.271475 | search.py | pypi |
from bs4 import BeautifulSoup
# Non-local imports
import json
import requests # interact with RT website
from typing import List
# Project modules
from .exceptions import *
from . import search
from . import utils
def _movie_url(movie_name: str) -> str:
"""Generates a target url on the Rotten Tomatoes website ... | /rottentomatoes-python-0.6.2.tar.gz/rottentomatoes-python-0.6.2/rottentomatoes/standalone.py | 0.871639 | 0.478712 | standalone.py | pypi |
from . import standalone
class Movie:
"""
Accepts the name of a movie and automatically fetches all attributes.
Raises `exceptions.LookupError` if the movie is not found on Rotten Tomatoes.
"""
def __init__(self, movie_title: str = "", force_url: str = "") -> None:
if not movie_title and n... | /rottentomatoes-python-0.6.2.tar.gz/rottentomatoes-python-0.6.2/rottentomatoes/movie.py | 0.838481 | 0.405802 | movie.py | pypi |
from __future__ import absolute_import
import six
import rouge_chinese.rouge_score as rouge_score
import io
import os
import re
class FilesRouge:
def __init__(self, *args, **kwargs):
"""See the `Rouge` class for args
"""
self.rouge = Rouge(*args, **kwargs)
def _check_files(self, hyp_p... | /rouge_chinese-1.0.3.tar.gz/rouge_chinese-1.0.3/rouge_chinese/rouge.py | 0.746878 | 0.355467 | rouge.py | pypi |
import os
import re
import shutil
import subprocess
import sys
from glob import glob
from tempfile import mkdtemp
from typing import Dict, List, Optional
from rouge_metric import perl_cmd
if sys.version_info < (3,):
def makedirs(name, mode=0o777, exist_ok=False):
if not os.path.isdir(name):
os... | /rouge_metric-1.0.1-py3-none-any.whl/rouge_metric/perl_rouge.py | 0.593609 | 0.42483 | perl_rouge.py | pypi |
import os
import subprocess
from typing import List, Optional
HERE = os.path.dirname(__file__)
ROUGE_HOME = os.path.join(HERE, 'RELEASE-1.5.5')
ROUGE_EXEC = os.path.join(ROUGE_HOME, 'ROUGE-1.5.5.pl')
ROUGE_DATA_HOME = os.path.join(ROUGE_HOME, 'data')
ROUGE_DB = os.path.join(ROUGE_DATA_HOME, 'WordNet-2.0.exc.db')
ROUGE... | /rouge_metric-1.0.1-py3-none-any.whl/rouge_metric/perl_cmd.py | 0.695441 | 0.269902 | perl_cmd.py | pypi |
from __future__ import division
import collections
import itertools
from typing import (List, Dict, Callable, Tuple, Iterable, Set, Counter, Union,
Optional)
NGramsType = Counter[Tuple[str]]
ScoreType = Dict[str, float]
RougeType = Dict[str, Dict[str, float]]
try:
from math import isclose
exc... | /rouge_metric-1.0.1-py3-none-any.whl/rouge_metric/py_rouge.py | 0.82485 | 0.340636 | py_rouge.py | pypi |
from __future__ import absolute_import
import six
import rouge_mongolian.rouge_score as rouge_score
import io
import os
import re
class FilesRouge:
def __init__(self, *args, **kwargs):
"""See the `Rouge` class for args
"""
self.rouge = Rouge(*args, **kwargs)
def _check_files(self, hyp_... | /rouge_mongolian-1.0.2-py3-none-any.whl/rouge_mongolian/rouge.py | 0.747892 | 0.402686 | rouge.py | pypi |
from collections import defaultdict
import logging
def filter_graphalignments(file_name, min_mapq=50):
f = open(file_name)
alignments = defaultdict(list) # read id to list of alignments
for i, line in enumerate(f):
if i % 1000000 == 0:
logging.info("Read %d lines" % i)
l = li... | /rough_graph_mapper-0.0.4-py3-none-any.whl/rough_graph_mapper/filter_graphalignments.py | 0.422505 | 0.223695 | filter_graphalignments.py | pypi |
import os
from .util import split_sam_by_chromosomes, run_bwa_mem, run_hybrid_between_bwa_and_minimap
from multiprocessing import Process
import logging
from .sam_to_graph_aligner import SamToGraphAligner
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s: %(message)s')
def map_single_chromoso... | /rough_graph_mapper-0.0.4-py3-none-any.whl/rough_graph_mapper/linear_to_graph_mapper.py | 0.450359 | 0.151875 | linear_to_graph_mapper.py | pypi |
import ctypes
import numpy as np
from .dlpack import _c_str_dltensor, DLManagedTensor, DLTensor
ctypes.pythonapi.PyCapsule_IsValid.restype = ctypes.c_int
ctypes.pythonapi.PyCapsule_IsValid.argtypes = [ctypes.py_object, ctypes.c_char_p]
ctypes.pythonapi.PyCapsule_GetPointer.restype = ctypes.c_void_p
ctypes.pythonapi.P... | /RoughPy-0.0.1.tar.gz/RoughPy-0.0.1/external/dlpack/apps/numpy_dlpack/dlpack/to_numpy.py | 0.847527 | 0.353289 | to_numpy.py | pypi |
import ctypes
_c_str_dltensor = b"dltensor"
class DLDeviceType(ctypes.c_int):
"""The enum that encodes the type of the device where
DLTensor memory is allocated.
"""
kDLCPU = 1
kDLCUDA = 2
kDLCUDAHost = 3
kDLOpenCL = 4
kDLVulkan = 7
kDLMetal = 8
kDLVPI = 9
kDLROCM = 10
... | /RoughPy-0.0.1.tar.gz/RoughPy-0.0.1/external/dlpack/apps/numpy_dlpack/dlpack/dlpack.py | 0.794106 | 0.367242 | dlpack.py | pypi |
from typing import Callable
import numpy as np
import ctypes
from .dlpack import DLManagedTensor, DLDevice, DLDataType, _c_str_dltensor
ctypes.pythonapi.PyMem_RawMalloc.restype = ctypes.c_void_p
ctypes.pythonapi.PyMem_RawFree.argtypes = [ctypes.c_void_p]
ctypes.pythonapi.PyCapsule_New.restype=ctypes.py_object
ctype... | /RoughPy-0.0.1.tar.gz/RoughPy-0.0.1/external/dlpack/apps/numpy_dlpack/dlpack/from_numpy.py | 0.877948 | 0.382228 | from_numpy.py | pypi |
from collections import namedtuple
import os
import re
CPP_SEP = '/'
Include = namedtuple('Include', ['path', 'line_no'])
''' Represents a file path '''
class Path(list):
def __init__(self, *args):
super().__init__()
if (len(args) > 0 and type(args[0]) is list):
for p in args[0]:
... | /RoughPy-0.0.1.tar.gz/RoughPy-0.0.1/external/csv-parser/single_header.py | 0.413596 | 0.152631 | single_header.py | pypi |
# Vince's CSV Parser
[](https://travis-ci.com/vincentlaucsb/csv-parser)
* [Motivation](#motivation)
* [Documentation](#documentation)
* [Integration](#integration)
* [C++ Version](#c-version)
* [Single Header](#single-header)
... | /RoughPy-0.0.1.tar.gz/RoughPy-0.0.1/external/csv-parser/README.md | 0.638046 | 0.873161 | README.md | pypi |
.. figure:: https://github.com/pybind/pybind11/raw/master/docs/pybind11-logo.png
:alt: pybind11 logo
**pybind11 — Seamless operability between C++11 and Python**
|Latest Documentation Status| |Stable Documentation Status| |Gitter chat| |GitHub Discussions| |CI| |Build status|
|Repology| |PyPI package| |Conda-forg... | /RoughPy-0.0.1.tar.gz/RoughPy-0.0.1/external/pybind11/README.rst | 0.921996 | 0.731562 | README.rst | pypi |
import typing as t
import urllib.parse
import functools
import horseman.parsers
import horseman.types
import horseman.http
import horseman.meta
from dataclasses import dataclass
from roughrider.routing.meta import Route
class Request(horseman.meta.Overhead):
__slots__ = (
'_content_type',
'_cooki... | /roughrider.application-0.3.1.tar.gz/roughrider.application-0.3.1/src/roughrider/application/request.py | 0.58676 | 0.160694 | request.py | pypi |
from typing import Optional, Iterable, NamedTuple, Literal, Tuple, Iterator
Header = Tuple[str, str]
Headers = Iterator[Header]
HTTPVerb = Literal[
"GET", "HEAD", "PUT", "DELETE", "PATCH", "POST", "OPTIONS"]
class CORSPolicy(NamedTuple):
origin: str = "*"
methods: Optional[Iterable[HTTPVerb]] = None
... | /roughrider.cors-0.1.tar.gz/roughrider.cors-0.1/src/roughrider/cors/policy.py | 0.798815 | 0.167423 | policy.py | pypi |
from frozendict import frozendict
from typing import cast, Optional, Union, Any, Mapping, List, NoReturn, Iterable, Tuple, Dict
Pairs = Iterable[Tuple[str, Any]]
class FormData(Dict[str, List[Any]]):
def __init__(self, data: Optional[Union['FormData', Dict, Pairs]] = None):
if data is not None:
... | /roughrider.routing-0.2.1.tar.gz/roughrider.routing-0.2.1/src/horseman/src/horseman/datastructures.py | 0.910433 | 0.309389 | datastructures.py | pypi |
import sys
from abc import ABC, abstractmethod
from typing import TypeVar
from horseman.response import Response
from horseman.http import HTTPError
from horseman.types import (
WSGICallable, Environ, StartResponse, ExceptionInfo)
Data = TypeVar('Data')
class Overhead(ABC):
"""WSGI Environ Overhead aka Requ... | /roughrider.routing-0.2.1.tar.gz/roughrider.routing-0.2.1/src/horseman/src/horseman/meta.py | 0.588298 | 0.252096 | meta.py | pypi |
try:
from typing import Iterable, BinaryIO, Type, ClassVar
from pathlib import Path
from fs.base import FS
from roughrider.storage.meta import FileInfo, Storage, ChecksumAlgorithm
class PyFSStorage(Storage):
fs: FS
checksum_algorithm: ChecksumAlgorithm
def __init__(self, ... | /roughrider.storage-0.1.tar.gz/roughrider.storage-0.1/src/roughrider/storage/pyfs.py | 0.58439 | 0.221414 | pyfs.py | pypi |
import enum
import hashlib
from abc import ABC, abstractmethod
from functools import partial
from pathlib import Path
from typing import Optional, BinaryIO, Mapping, Iterable, Tuple
from typing_extensions import TypedDict
ChecksumAlgorithm = enum.Enum(
'Algorithm', {
name: partial(hashlib.new, name)
... | /roughrider.storage-0.1.tar.gz/roughrider.storage-0.1/src/roughrider/storage/meta.py | 0.848925 | 0.264765 | meta.py | pypi |
from typing import Iterable, BinaryIO
from pathlib import Path
from roughrider.storage.meta import FileInfo, Storage, ChecksumAlgorithm
class FilesystemStorage(Storage):
checksum_algorithm: ChecksumAlgorithm
def __init__(self, name: str, root: Path, algorithm='md5'):
self.name = name
self.ro... | /roughrider.storage-0.1.tar.gz/roughrider.storage-0.1/src/roughrider/storage/fs.py | 0.763572 | 0.3043 | fs.py | pypi |
import copy
import logging
import pandas as pd
from pandas import DataFrame, Series
class RoughSetSI:
"""Class RoughSet to model an Information System SI = (X, A).
DT = f(X, A, y),
where:
X - objects of universe,
A - attributes describing objects of X,
"""
def __init__(self, X: DataFr... | /roughsets-base-1.0.1.2.tar.gz/roughsets-base-1.0.1.2/src/roughsets_base/roughset_si.py | 0.80969 | 0.632928 | roughset_si.py | pypi |
import copy
import logging
import pandas as pd
from pandas import DataFrame, Series
from roughsets_base.roughset_si import RoughSetSI
class RoughSetDT(RoughSetSI):
"""Class RoughSet to model a decision table (DT).
DT = f(X, A, y),
where:
X - objects of universe,
A - attributes describing objec... | /roughsets-base-1.0.1.2.tar.gz/roughsets-base-1.0.1.2/src/roughsets_base/roughset_dt.py | 0.814533 | 0.561636 | roughset_dt.py | pypi |
roughviz is a python visualization library for creating sketchy/hand-drawn styled charts.
### Available Charts
<ul>
<li>Bar (<code>roughviz.bar</code>) </li>
<li>Horizontal Bar (<code>roughviz.barh</code>) </li>
<li>Pie (<code>roughviz.pie</code>) </li>
<li>Donut (<code>roughviz.donut</code>) </li>
</ul>
###... | /roughviz-4.0.0.tar.gz/roughviz-4.0.0/README.md | 0.553747 | 0.882782 | README.md | pypi |
import pandas as pd
from sklearn.model_selection import train_test_split
from time import time
def prepare_data_for_training(
df: pd.core.frame.DataFrame,
target: str,
index_column: str = None,
validation_test_size: float = 0.2,
verbose: bool = False,
):
"""takes input data and setting index, ... | /roulette_ml-0.1.1-py3-none-any.whl/roulette/builder/data_prep.py | 0.763924 | 0.566348 | data_prep.py | pypi |
import numpy as np
from collections import namedtuple
from sklearn.metrics import classification_report, confusion_matrix
Doc = namedtuple(
'Doc',
[
"version",
"type",
"algo",
"param",
"cv",
]
)
def compress_regression_results(l, true_condition=lambda x: x >= 0.6... | /roulette_ml-0.1.1-py3-none-any.whl/roulette/builder/utils.py | 0.494873 | 0.36311 | utils.py | pypi |
import os
from typing import Union
import random
import pandas as pd
from tqdm import tqdm
import matplotlib.pyplot as plt
from roulette.builder.data_prep import prepare_data_for_training
from roulette.builder.save_load_model import load_model
from roulette.builder.utils import is_regression_metric, is_binary_classif... | /roulette_ml-0.1.1-py3-none-any.whl/roulette/builder/builder.py | 0.837852 | 0.297142 | builder.py | pypi |
import random
from time import time
from collections import namedtuple
import numpy as np
from roulette.evaluation.simulation_data import ExperimentData, Score
from roulette.evaluation.utils import validate_multiple_lists_length
from roulette.evaluation.metrics import WD
from roulette.evaluation.constants import Expe... | /roulette_ml-0.1.1-py3-none-any.whl/roulette/evaluation/experiment.py | 0.867429 | 0.548432 | experiment.py | pypi |
import scipy as sp
import numpy as np
from sklearn.metrics import mean_absolute_error, mean_squared_error, roc_auc_score
from roulette.evaluation.constants import MetricsConstants
from roulette.evaluation.utils import close_enough,\
validate_multiple_lists_length,\
samples_to_bin_numbers,\
is_binary
MSE = ... | /roulette_ml-0.1.1-py3-none-any.whl/roulette/evaluation/metrics.py | 0.898066 | 0.677247 | metrics.py | pypi |
import json
import numpy as np
from roulette.evaluation.utils import parse_ndarray_as_float_list
from roulette.evaluation.experiment import Experiment
from roulette.evaluation.simulation_data import Metrics
from roulette.evaluation.metrics import discriminability, certainty
from roulette.evaluation.plotting.hist impo... | /roulette_ml-0.1.1-py3-none-any.whl/roulette/evaluation/monte_carlo.py | 0.878027 | 0.559591 | monte_carlo.py | pypi |
import random
from enum import Enum
class Color( Enum ) :
Green = 0
Red = 1
Black = 2
class Slot:
def __init__(self, color, number):
self.color = None
self.number = number
class Wheel:
def __init__(self, size=36, number_of_reds=18, number_of_blacks=18, number_of_greens=2):
... | /roulette_simulator-1.0.0-py3-none-any.whl/model/roulette_wheel.py | 0.473414 | 0.305257 | roulette_wheel.py | pypi |
import random
import time
import locale
import sys
import argparse
from tabulate import tabulate
from .vars.numbers import *
from .vars.bets import *
from .utils import config
# Currency locale
locale.setlocale(locale.LC_ALL, '')
def showBank():
"""
Show current bank
"""
global currentBank
... | /roulette-1.5.tar.gz/roulette-1.5/src/play.py | 0.518302 | 0.275209 | play.py | pypi |
from .util import _carb
from .util import _fat
from .util import _sod_pot
from .util import parse_quantity
from .util import round_increment
def calories(quantity: "int|str") -> str:
"""Round a calories quantity.
Args:
quantity (int|str): The quantity to be rounded.
Returns:
str: The rou... | /round-nutrition-1.1.0.tar.gz/round-nutrition-1.1.0/round_nutrition/general.py | 0.906145 | 0.514217 | general.py | pypi |
from .util import _vmo
def calcium(quantity: "int|str") -> str:
"""Round a calcium quantity.
Args:
quantity (int|str): The quantity to be rounded.
Returns:
str: The rounded calcium quantity.
"""
return _vmo(quantity, 10, "mg")
def potassium(quantity: "int|str") -> str:
"""R... | /round-nutrition-1.1.0.tar.gz/round-nutrition-1.1.0/round_nutrition/mineral.py | 0.960119 | 0.534187 | mineral.py | pypi |
from .util import _vmo
def vitamin_c(quantity: "int|str"):
"""Round a vitamin C quantity.
Args:
quantity (int|str): The quantity to be rounded.
Returns:
str: The rounded vitamin C quantity.
"""
return _vmo(quantity, 1, "mg")
vit_c = vitamin_c
def vitamin_e(quantity: "int|str"... | /round-nutrition-1.1.0.tar.gz/round-nutrition-1.1.0/round_nutrition/vitamin.py | 0.930577 | 0.576244 | vitamin.py | pypi |
from round_robin_tournament.participant import Participant
class Match:
"""
A match represents a single match in a tournament, between 2 participants.
It adds empty participants as placeholders for the winner and loser,
so they can be accessed as individual object pointers.
"""
def __init__(sel... | /round_robin_tournament-1.0.0.tar.gz/round_robin_tournament-1.0.0/round_robin_tournament/match.py | 0.679604 | 0.33674 | match.py | pypi |
import math
import itertools
from round_robin_tournament.match import Match
from round_robin_tournament.participant import Participant
class Tournament:
"""
This is a round-robin tournament where each match is between 2 competitors.
It takes in a list of competitors, which can be strings or any type of Py... | /round_robin_tournament-1.0.0.tar.gz/round_robin_tournament-1.0.0/round_robin_tournament/tournament.py | 0.578924 | 0.409723 | tournament.py | pypi |
def numbers_rndwitherr(value, error, errdig=2):
"""Returns rounded floating points for `value` and `error`.
This function duplicates how numbers are round internally. It is
available if you want rounded numbers rather than formatted and properly
truncated strings. Be aware that because of the way float... | /round_using_error-1.2.0-py3-none-any.whl/round_using_error/round_using_error.py | 0.924133 | 0.9455 | round_using_error.py | pypi |
# Move a file in the safest way possible::
# >>> from RoundBox.core.files.move import file_move_safe
# >>> file_move_safe("/tmp/old_file", "/tmp/new_file")
import errno
import os
from shutil import copystat
from RoundBox.core.files import locks
__all__ = ["file_move_safe"]
def _samefile(src, dst):
# M... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/core/files/move.py | 0.425963 | 0.204719 | move.py | pypi |
# Portable file locking utilities.
# Based partially on an example by Jonathan Feignberg in the Python
# Cookbook [1] (licensed under the Python Software License) and a ctypes port by
# Anatoly Techtonik for Roundup [2] (license [3]).
# [1] https://code.activestate.com/recipes/65203/
# [2] https://sourceforge.net/p/ro... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/core/files/locks.py | 0.68616 | 0.269374 | locks.py | pypi |
# Levels
DEBUG = 10
INFO = 20
WARNING = 30
ERROR = 40
CRITICAL = 50
class CheckMessage:
""" """
def __init__(self, level, msg: str, hint: str = None, obj=None, _id=None):
"""
:param level: The severity of the message. Use one of the predefined values: DEBUG, INFO, WARNING, ERROR,
... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/core/checks/messages.py | 0.662469 | 0.299912 | messages.py | pypi |
import logging
from dataclasses import dataclass
from datetime import date, datetime
from typing import Final, TypedDict
from RoundBox.core.hass.helpers.typing import StateType
from RoundBox.utils.backports.strenum.enum import StrEnum
logger: Final = logging.getLogger(__name__)
class ExtraOptions(TypedDict):
"... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/core/hass/components/sensor/__init__.py | 0.910754 | 0.203391 | __init__.py | pypi |
import argparse
import os
import sys
from argparse import ArgumentParser, HelpFormatter
from io import TextIOBase
from RoundBox.const import __version__
from RoundBox.core import checks
from RoundBox.core.cliparser.color import color_style, no_style
ALL_CHECKS = "__all__"
class CommandError(Exception):
"""
... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/core/cliparser/base.py | 0.608361 | 0.155431 | base.py | pypi |
import os
import sys
from imp import find_module
from typing import Optional # NOQA
from RoundBox.apps import apps
_jobs = None
def noneimplementation(meth):
"""
:param meth:
:return:
"""
return None
class JobError(Exception):
pass
class BaseJob:
help = "undefined job description.... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/core/cliparser/jobs.py | 0.439026 | 0.152442 | jobs.py | pypi |
import functools
import inspect
@functools.lru_cache(maxsize=512)
def _get_func_parameters(func, remove_first):
parameters = tuple(inspect.signature(func).parameters.values())
if remove_first:
parameters = parameters[1:]
return parameters
def _get_callable_parameters(meth_or_func):
is_metho... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/utils/inspect.py | 0.561335 | 0.258935 | inspect.py | pypi |
import re
from collections.abc import Callable, Iterable, KeysView, Mapping
from datetime import datetime
from typing import Any, TypeVar
import slugify as unicode_slug
from .dt import as_local
_T = TypeVar("_T")
_U = TypeVar("_U")
RE_SANITIZE_FILENAME = re.compile(r"(~|\.\.|/|\\)")
RE_SANITIZE_PATH = re.compile(r... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/utils/__init__.py | 0.777933 | 0.162746 | __init__.py | pypi |
# Copyright (c) Django Software Foundation and individual contributors.
# All rights reserved.
# https://github.com/home-assistant/core/blob/dev/LICENSE.md
import asyncio
import threading
from collections.abc import Callable, Coroutine
from datetime import datetime, timedelta
from functools import wraps
from typing i... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/utils/throttle.py | 0.939203 | 0.234757 | throttle.py | pypi |
import logging
from typing import IO, Any, Literal, Mapping, Optional
# Type aliases used in function signatures.
EscapeCodes = Mapping[str, str]
LogColors = Mapping[str, str]
SecondaryLogColors = Mapping[str, LogColors]
# The default colors to use for the debug levels
default_log_colors = {
"DEBUG": "light_blue... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/utils/log/color.py | 0.880303 | 0.328516 | color.py | pypi |
import logging
import time
from hashlib import md5
from RoundBox.conf.project_settings import settings
from RoundBox.core.cache import cache
class RequireDebugFalse(logging.Filter):
def filter(self, records):
return not settings.DEBUG
class RequireDebugTrue(logging.Filter):
def filter(self, record... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/utils/log/filters.py | 0.675872 | 0.193929 | filters.py | pypi |
import logging
import os
from pprint import pformat
from typing import IO, Any, Literal, Mapping, Optional
from RoundBox.core.cliparser.color import color_style
from RoundBox.utils.log.filters import PasswordMaskingFilter
from . import themes
from .color import (
ColoredRecord,
EscapeCodes,
LogColors,
... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/utils/log/formatter.py | 0.86306 | 0.166981 | formatter.py | pypi |
# Multi-consumer multi-producer dispatching mechanism
# Originally based on pydispatch (BSD) https://pypi.org/project/PyDispatcher/2.0.1/
# See license.txt for original license.
# Modified for Growatt Monitor purpose
import logging
import threading
import weakref
from RoundBox.utils.inspect import func_accepts_kwarg... | /RoundBox-2022.4.21b0-py3-none-any.whl/RoundBox/dispatch/dispatcher.py | 0.824321 | 0.172921 | dispatcher.py | pypi |
class Calculator:
# Define Calculator class.
#
# All calculations made by class is rounded with 8 symbols precision.
# Calculator memory is controled by Memory class.
#
# This class has methods to do perform:
# I. Calculations:
# Addition, substraction, multiplication,
# ... | /rounded_calculate-0.1.1-py3-none-any.whl/rounded_calculate/calculator.py | 0.80871 | 0.358353 | calculator.py | pypi |
# Rounders
The `rounders` package extends the functionality provided by Python's
built-in [`round`](https://docs.python.org/3/library/functions.html#round)
function. It aims to provide a more complete and consistent collection of
decimal rounding functionality than is provided by the Python core and standard
library. ... | /rounders-0.1.0.tar.gz/rounders-0.1.0/README.md | 0.943932 | 0.963575 | README.md | pypi |
import os
import re
from collections import defaultdict
from typing import Dict, Generator, List, Optional, TextIO, Tuple, Union
class INI:
"""
Class for parsing INI files.
Current Restrictions:
- key/value pairs must be separated by =
- keys may not begin or end with whitespace
- values wil... | /roundtripini-0.3.0.tar.gz/roundtripini-0.3.0/roundtripini.py | 0.773644 | 0.373476 | roundtripini.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 ... | /roung_distributions-0.2.tar.gz/roung_distributions-0.2/roung_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
[](https://github.com/rouskinlab/rouskinhf/actions/workflows/CI.yml)
[](https://github.com/rouskinlab/rouskinhf/acti... | /rouskinhf-0.2.6.tar.gz/rouskinhf-0.2.6/README.md | 0.740456 | 0.936168 | README.md | pypi |
from __future__ import annotations
from typing import Any, Sequence
import numpy as np
from sklearn.cluster import AgglomerativeClustering
from sklearn.metrics import silhouette_score
class ClusteringHelper:
"""
A helper class to perform clustering of items
based on a pre-computed distance matrix.
T... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/clustering.py | 0.960888 | 0.610831 | clustering.py | pypi |
from __future__ import annotations
from typing import List
import random
from enum import Enum
from operator import itemgetter
import numpy as np
from rdkit import Chem, DataStructs
from rdkit.Chem import AllChem
from apted import Config as BaseAptedConfig
from scipy.spatial.distance import jaccard as jaccard_dist
fr... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/ted/utils.py | 0.908316 | 0.339472 | utils.py | pypi |
from __future__ import annotations
import itertools
import math
from copy import deepcopy
from typing import List, Union, Iterable, Tuple, Callable, Optional
from logging import getLogger
import numpy as np
from apted import APTED as Apted
from route_distances.ted.utils import (
TreeContent,
AptedConfig,
... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/ted/reactiontree.py | 0.90958 | 0.366817 | reactiontree.py | pypi |
from typing import Dict, Any, Set, List, Tuple
import numpy as np
from route_distances.utils.type_utils import StrDict
def calc_depth(tree_dict: StrDict, depth: int = 0) -> int:
"""
Calculate the depth of a route, recursively
:param tree_dict: the route
:param depth: the current depth, don't specif... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/utils/routes.py | 0.937351 | 0.673312 | routes.py | pypi |
import argparse
import torch
from pytorch_lightning import Trainer, seed_everything
from pytorch_lightning.loggers import TensorBoardLogger, CSVLogger
from pytorch_lightning.callbacks import ModelCheckpoint
import route_distances.lstm.defaults as defaults
from route_distances.lstm.data import TreeDataModule
from rout... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/tools/train_lstm_model.py | 0.766992 | 0.285098 | train_lstm_model.py | pypi |
from __future__ import annotations
import argparse
import warnings
import time
import math
from typing import List
import pandas as pd
from tqdm import tqdm
import route_distances.lstm.defaults as defaults
from route_distances.route_distances import route_distances_calculator
from route_distances.clustering import Cl... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/tools/cluster_aizynth_output.py | 0.727492 | 0.311047 | cluster_aizynth_output.py | pypi |
import argparse
import pickle
import pandas as pd
import numpy as np
from tqdm import tqdm
import route_distances.lstm.defaults as defaults
from route_distances.lstm.features import preprocess_reaction_tree
def _get_args():
parser = argparse.ArgumentParser(
"Tool to prepare output from AiZynthFinder for... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/tools/prepare_aizynthfinder_output.py | 0.480966 | 0.196248 | prepare_aizynthfinder_output.py | pypi |
import pickle
import random
import multiprocessing
from typing import List, Tuple, Set, Union
from pytorch_lightning import LightningDataModule
from torch.utils.data import Dataset, DataLoader
import route_distances.lstm.defaults as defaults
from route_distances.lstm.utils import collate_batch
_PairType = Tuple[Unio... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/lstm/data.py | 0.826011 | 0.355523 | data.py | pypi |
import numpy as np
from rdkit import Chem, DataStructs
from rdkit.Chem import AllChem
from treelstm import calculate_evaluation_orders
import route_distances.lstm.defaults as defaults
from route_distances.lstm.utils import (
add_node_index,
gather_adjacency_list,
gather_node_attributes,
)
from route_dista... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/lstm/features.py | 0.726814 | 0.514156 | features.py | pypi |
from typing import Dict, List, Any
from collections import defaultdict
import torch
from route_distances.utils.type_utils import StrDict
def accumulate_stats(stats: List[Dict[str, float]]) -> Dict[str, float]:
"""Accumulate statistics from a list of statistics"""
accum: StrDict = defaultdict(float)
for ... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/lstm/utils.py | 0.945538 | 0.75101 | utils.py | pypi |
from typing import List, Tuple
import torch
import pytorch_lightning as lightning
from treelstm import TreeLSTM as TreeLSTMBase
from torchmetrics import MeanAbsoluteError, R2Score
import route_distances.lstm.defaults as defaults
from route_distances.lstm.utils import accumulate_stats
from route_distances.utils.type_u... | /route-distances-1.1.0.tar.gz/route-distances-1.1.0/route_distances/lstm/models.py | 0.954974 | 0.521288 | models.py | pypi |
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